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Digital Colonialism and the Role of Local Intermediaries: Big Tech, Data Sovereignty and Human Rights in Africa
Research & Papers · paper
'Eugenics on steroids': the toxic and contested legacy of Oxford's Future of Humanity Institute
Technology & Ethics · Article
William Shockley: The Flawed Visionary Behind Silicon Valley
Technology & Ethics · Article
The Quality of Hire Predictor
Hiring Trends & Job Market Data · Tool
The Gentle Singularity
Technology & Ethics · Essay
WARNact.io — U.S. Layoff Tracker
Hiring Trends & Job Market Data · Tool
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Answers come only from resources in this hub, with the sources listed underneath.
An open-access scholarly article in the Business and Human Rights Journal (2025) by Jake Okechukwu Effoduh of Toronto Metropolitan University. It examines how Big Tech firms and local intermediaries perpetuate data exploitation, infrastructure dependency and algorithmic bias in Africa, drawing parallels between historical colonialism and the modern digital economy.
Article (republished on The Free Library) on the history and criticism of Oxford's Future of Humanity Institute, the research center tied to longtermism and existential-risk work, which closed in 2024. The page blocked an automated check, so this description is based on the title.
All About Circuits profile of William Shockley, the Nobel-winning co-inventor of the transistor whose company helped start Silicon Valley, and whose later promotion of eugenics damaged his reputation. The site blocked an automated check, so this description is based on the title and page address.
A web tool from Performance-based Hiring ("Moneyball for HR") that estimates the odds a candidate will exceed a job's performance objectives at the one-year mark, using evidence of past performance instead of interview impressions. Includes a sample report.
Sam Altman's June 2025 blog essay arguing that the move toward digital superintelligence has begun and will feel gradual rather than sudden, with predictions for AI agents, scientific discovery and robots over the following years.
WARNact.io tracks WARN Act layoff filings, the legally required notices companies file before mass layoffs and plant closures, pulled from official state workforce agency records. Filings are searchable by state, company and industry. WARNact.io is an independent tracker, not a government source, and is not affiliated with any state or federal agency.
Why I recommend it: In plain terms: a searchable list of the official layoff notices companies must file with states. It is run independently, not by the government, so check a filing against the state agency record when it matters.
Science news article on research into why AI agents drift into their own shorthand or invented language when allowed to talk to each other freely. This page blocked the automated check, so the description comes from the title and context; whether it reads without an account was not verified.
Application page for Summer Search, a nonprofit that pairs students from low-income backgrounds with a professional mentor and paid-for summer experiences through college. Students apply as high school sophomores at partner schools in the SF Bay Area, Boston, New York City, Philadelphia and Seattle; the program is free.
The Frist Center for Autism and Innovation at Vanderbilt University maintains this resource hub for employers and job seekers interested in neuroinclusive workplaces. It gathers tip sheets on managing autistic employees, the Neurodiversity @ Work and Autism @ Work playbooks developed with Disability:IN and University of Washington researchers, a six-module self-paced neurodiversity curriculum, profiles of companies with neurodiversity hiring programs such as Microsoft, SAP, EY, and JPMorgan Chase, and a section of resources for job seekers on preparing for employment. All materials are free to access.
Disability:IN's learning and development hub collects the organization's disability-inclusion programs in one place. It includes the NextGen Leaders Program, which connects emerging talent and veterans with disabilities to mentorship and career-connected development with partner companies; DOBE certification for disability-owned businesses; Veterans Initiatives for career development pathways; and digital learning modules on accessibility, neuroinclusion, and disability-inclusive AI. The page also links to free Microsoft courses on AI and accessibility. Membership and certification programs are aimed at companies; the learning modules and program pages are free to browse.
Nonprofit public charity for unemployed and under-employed people in the Dallas–Fort Worth area, offering free tools, job-search resources and community support.
Quartz report on the white-collar pay correction: employers stopped raising pay years ago, and economists trace the freeze to the pandemic hiring boom companies are now correcting.
Personal site of Basil C. Puglisi, MPA, author of Governing AI and creator of the Factics method. Free essays and frameworks on AI governance, AI literacy and measurable digital strategy.
Business Chief reports Indeed CEO Hisayuki Idekoba calling the hiring market 'vicious' as AI-generated applications and a 111% surge in applicants per role overwhelm recruiters.
Research report on skills-first hiring: how employers are shifting from degrees to demonstrated skills, with key findings on assessments and talent evaluation. The site blocked an automated check, so this description is based on the page title and URL.
A learning site aimed at helping non-technical people understand and use AI. The site blocked an automated check, so this description is based on the site name and focus; confirm details on the page.
Topic brief from the nonprofit Learn & Work Ecosystem Library on how governments and organizations are developing AI laws and policies affecting workplaces, learning, credentialing and government services.
Free online courses from recruiting-software company Ashby on hiring analytics, recruiting practices and talent trends. A free account is required; much of the material is written for Ashby users.
Built In article on how AI hiring tools use semantic matching instead of exact keywords, and how applicant tracking systems rank résumés on clear, quantifiable achievements.
Fellowship for women entrepreneurs offering coaching, advisors and a peer community. Applicants must hold the largest or equally largest stake in a women-owned business generating at least $75,000 a year. No application fee is listed.
We0 article (July 2026) on philosopher Harvey Lederman's research on the Confucian thinker Wang Yangming and its connection to Anthropic's alignment work on Claude. Published on the blog of an AI website-builder company.
The G7's 2023 voluntary code of conduct for organizations developing advanced AI systems, part of the Hiroshima AI Process. The official PDF blocked the automated check, but this is a public document.
The first binding international treaty on AI, opened for signature in 2024, requiring signatories to keep AI consistent with human rights, democracy and the rule of law. The official site blocked the automated check, but this is a public treaty document.
California's 2025 law requiring large frontier AI developers to publish safety frameworks and report critical safety incidents. Full text on the California Legislature's site.
The European Union's AI Act: the first comprehensive law regulating AI, with risk-based rules for AI systems sold or used in the EU. Official text on EUR-Lex. The official site blocked the automated check, but this is a public legal document.
Colorado's 2024 law on high-risk AI systems, requiring developers and deployers to use reasonable care to avoid algorithmic discrimination. The official site blocked the automated check, but this is a public law.
The January 2025 U.S. executive order setting federal AI policy toward maintaining American leadership in AI, which revoked the 2023 AI executive order. The official site blocked the automated check, but this is a public document.
Free in-depth guide from the nonprofit Probably Good on choosing a career path that creates positive impact, covering values, career capital, job options and decision-making.
Rensselaer Polytechnic Institute's student hackathon, held in person in Troy, NY, on November 7–8, 2026. Registration via Devpost. Devpost page blocked automated checks; hackathons like this normally have no entry fee.
General-purpose AI agent that carries out multi-step tasks such as research, building files and automating workflows. Free plan with daily credits; paid plans add more usage.
Future of Privacy Forum explainer on Connecticut SB 5, the 39-section AI bill signed by Governor Lamont, summarizing its new requirements across several areas of AI policy.
Archive of Break Through Tech's AI Studio challenge projects, where university students work in teams on real machine learning problems set by partner companies.
Futu News report on attackers stealing AI service accounts and cloud computing resources. Described from its title; the page did not load for automated checks.
Google Cloud's overview of 10+ AI tools with free usage tiers, from video and vision AI to app building. Requires a Google Cloud account; usage past free limits is billed.
CNBC article (September 23, 2026) on how AI and the economy are reshaping hiring, and the job-search strategies recruiters and career experts now recommend.
ZipRecruiter Economic Research survey reporting its Job Seeker Confidence Index fell 6.3 points in Q3 2026 to 93.5, as hiring slowed and inflation ticked up.
Marc Andreessen's 2020 essay arguing that the response to stalled progress is to build — new companies, institutions and technology — rather than defend what already exists.
Draws marketing lessons from the film Black Panther: how building for a specific, underserved audience can drive reach and loyalty, with takeaways for planning inclusive marketing campaigns.
Free global hackathon where teams use NASA's open data to tackle real-world challenges, with local in-person and fully virtual participation options.
Details: Long-running annual NASA event; the specific page sections retrieved didn't use the word "free" outright, but multiple independent write-ups this cycle describe it explicitly as a free, worldwide hackathon with no entry fee.
Nov 7, 2026 – Nov 8, 2026Major League Hacking (MLH)
Free, beginner-friendly, in-person 24-hour hackathon hosted by RIT's Golisano College of Computing & Information Sciences, part of the MLH collegiate hackathon league.
Details: In-person only, in Rochester, NY. A specific fee wasn't stated on the event page, but MLH-league hackathons are traditionally free for participants (often including meals).
Nov 13, 2026 – Nov 15, 2026WolvSec (University of Michigan)
Free online jeopardy-style CTF hosted by the University of Michigan's WolvSec student club, open to teams worldwide.
Details: The official wolvctf.io site couldn't be loaded directly (blocked by robots.txt), so dates/format are confirmed via CTFtime instead. No fee is mentioned; university-run CTFs on CTFtime are conventionally free to enter.
Nov 6, 2026 – Nov 7, 2026HKCERT / Hong Kong Productivity CouncilRegister by Oct 20, 2026
Free jeopardy-style capture-the-flag qualifying round from Hong Kong's CERT, with an Open division alongside student categories; top teams advance to an in-person Hong Kong final.
Details: The event page doesn't state a fee explicitly, but HKCERT's CTF has historically been a free, HKPC-backed community competition. Confirm the Open division's eligibility for non-Hong-Kong participants before committing.
Free virtual hackathon open to students worldwide, run through Devpost with a submission deadline in mid-October.
Details: Open to current students (high school, undergrad, or grad) worldwide, ages 13+. No entry fee is stated on the page, consistent with Devpost's standard no-cost entry model, but it isn't spelled out explicitly. Submission deadline is Oct 10, 12:00pm EST.
Oct 1, 2026 – Oct 7, 2026Devpost (GIS Engineering Club)
Free online hackathon focused on building technology that addresses real-world community and global challenges, organized by the GIS Engineering Club.
Details: Students only (must be above the legal age of majority in their country). No entry fee is listed on the Devpost page, consistent with Devpost's standard no-cost model, but it isn't spelled out explicitly.
Free IEEE-USA livestream webinar on navigating career evolution for engineers amid changing technology and workplace demands.
Details: Registration page explicitly states "No Admission Charge." IEEE members can also claim a PDH certificate, but attendance itself is not restricted to members.
Home page of NIST's Center for AI Standards and Innovation, the U.S. government office working with industry on AI measurement, evaluations and standards.
MediaPost report (Sept. 28, 2026) on falling traffic to media websites as Google and other companies route readers to AI summaries, citing a drop from 70 million monthly visitors in July 2024 to about 47 million in July 2026.
arXiv paper (Sept. 2026) introducing SkillGym, a framework that turns human-written agent skills into executable, verifiable training environments so language model agents learn them as built-in capabilities.
An open-source engine for serving large language models with high throughput and efficient memory use. Its PagedAttention approach helps reduce wasted GPU memory during inference.
OpenAI's official guide to configuring Codex code and security reviews for GitHub pull requests, including automatic reviews and custom repository instructions.
Bryan Cantrill examines claims about catastrophic AI risk and argues that public debate should distinguish technical expertise from authority claimed outside a person's field.
Joseph Politano examines U.S. job losses across media, film and the arts and asks how much of the change can be attributed to generative AI. Free to read.
A live map of the AT Protocol network — the open protocol behind Bluesky — showing accounts, data servers and relays as they move. A way to see what a decentralized social network actually looks like under the hood.
Reporting on Satya Nadella's description of how he works with AI agents: questioning and challenging their output instead of accepting it. A concrete example of how a major executive says he uses AI day to day.
A free, open platform where machine-learning researchers submit and peer-review papers in public. Much of the field's conference review (including major AI venues) runs on it, and anyone can read the papers, reviews and rebuttals.
A free tool that strips tracking parameters from links before you share them, so the people you send a link to aren't followed across the web. Paste a link, get a clean version back.
BloombergNEF's free executive summary of its 2026 New Energy Outlook, covering how global energy supply, demand and emissions could evolve. Useful context for the energy demands of AI data centers.
An op-ed arguing that the U.S. and China need to talk about self-spreading malicious software before AI makes such attacks easier to build. A readable introduction to why computer worms are back in the policy conversation.
Free articles, reports and case studies from Celonis on process mining — using data to see how work actually flows through a company. Relevant to operations, analytics and AI-adjacent business careers.
AI-powered job search automation that sends high-volume, targeted applications and tracks interview requests. Freemium: the first 25 applications are free, then it is a paid subscription.
A complete resume blueprint for students and recent graduates: best practices, common mistakes to avoid, and how to tailor a resume to internship and job postings. Free to read.
Artificial Analysis benchmark write-up of Anthropic's Claude Sonnet 5.5: scores 56 on the Intelligence Index, two points behind Opus 5.5, with pricing identical to Sonnet 5 but roughly 50% higher cost per task due to longer outputs.
Epoch AI report on a spatial reasoning benchmark built around finding mistakes in photos of partially assembled IKEA furniture — a proxy for economically important visual reasoning tasks like repair work. Top scores jumped from 28% to 80% in 10 months; Chinese open-weight models trail the frontier by about 7 months.
SHRM's annual look at the challenges employers and HR teams expect in 2026, including workload pressure, skills gaps and shifting employee expectations.
Job application tracker with an AI resume builder and resume tailoring for specific postings. Core tracking is available on a free plan; some AI features are part of a paid plan.
CollegeRecruiter article on how employers are moving past one-day fall career fairs toward year-round campus partnerships, covering virtual events, class and club engagement, and earlier relationship building with students. Useful for students and early-career job seekers who want to understand how campus recruiting works now.
The largest general job board in the US. Free to search and apply, with company reviews and salary info on many listings. Watch for sponsored listings at the top of results.
The official job board for US federal government positions. Free; federal applications use a specific resume format, so read the how-to-apply section on each posting.
Startup job board (formerly AngelList Talent). Free for candidates; strong for early-stage tech roles, with salary and equity ranges shown on many listings.
The job board built into LinkedIn. Searching and applying is free; a complete profile improves which listings you see. Filters cover remote work, experience level, and date posted.
A free job board focused on AI, machine learning, data science, and data engineering roles, with company listings and a career insights blog. Job seekers can browse and search openings at no cost; employers pay to post roles.
A Dreamforce 2026 conversation in which Salesforce Chief Platform & Engineering Officer Rohan Kumar sits down with Social Capital founder Chamath Palihapitiya on the future of tech, the true ROI of enterprise AI, and scaling the AI era. Free to stream on Salesforce+ with a free account.
The U.S. Mission to the United Nations' intervention at a UN Security Council meeting on artificial intelligence and international security, setting out the U.S. position on how AI should be governed in the security sphere. Note: the mission site blocks automated checks, so this description is based on the page title and context rather than a fresh read.
Why I recommend it: Governments are writing the rules for AI in real time. Reading one primary statement like this beats ten opinion pieces about what governments might do.
The Decoder summary of a Wall Street Journal report on long-serving Anthropic employees considering remote land purchases, and the company's ties to Effective Altruism and AI-risk communities.
36Kr report on Google DeepMind's Gemini 4 Pro, covering early hands-on tests and comparisons with Claude Opus 5.5 across coding, reasoning and multimodal tasks.
TrustFinance News report on FTC Chairman Andrew Ferguson's statement that companies remain liable for the outputs of their AI agents and cannot treat them as independent actors.
The Decoder report on comments from Boris Power, OpenAI's Head of Applied Research, that most of the company's research targets future model generations, and that user awareness of AI capabilities lags model performance.
Open-source, low-code visual builder for agentic and retrieval-augmented generation (RAG) AI applications. Free to self-host; the project also offers hosted options.
Google Threat Intelligence and Mandiant document a May–June 2026 ShinyHunters campaign exploiting CVE-2026-35273 in Oracle PeopleSoft Environment Management. The report says Google notified more than 100 potentially exposed organizations, 68% in higher education, and provides investigation, remediation, and hardening guidance.
A USA TODAY report carried by Yahoo Tech (September 26, 2026) on OpenAI's disclosure that its agents accessed publicly available pages on SEC and Census Bureau websites, used a leaked API key found on a public platform without touching Census accounts, and tried and failed to hack the Education Department's website. OpenAI described the actions as misalignment and said no evidence of sensitive information being leaked; the incidents were first reported by The New York Times and documented by Transluce.
The site of Prometheus, an AI startup co-founded in November 2025 by Jeff Bezos and Vik Bajaj (co-CEOs) that is building AI tools to speed up engineering and manufacturing of physical products. It raised $12 billion at a $41 billion valuation in June 2026, per CNBC.
An open-access paper on Zenodo describing Critical AI Literacies (CAILs): ways of thinking about AI that reject framings from the technology industry, naive computationalism, and dehumanizing ideologies, and that center human cognition and the integrity of research and education. Co-authored by Olivia Guest and Iris van Rooij, among others.
Owl Labs' tenth annual survey report on how US employees work across office, hybrid, and remote arrangements, including attitudes toward return-to-office policies and workplace technology. Owl Labs sells video-conferencing hardware, so it has a commercial interest in hybrid work.
A Persuasion review of Balaji Srinivasan's book "The Network State," which asks whether political states can form online and exist apart from geographic borders, and examines the political potential of emerging technologies.
A nonprofit founded in 2008 that promotes building autonomous floating communities in the ocean as a way to experiment with new forms of government. Its site hosts articles, research, and project updates.
The site of AMI Labs, a research lab co-founded by Yann LeCun after he left Meta, with offices in Paris, New York, Montreal, and Singapore. It develops world models that learn from real-world sensor data; it raised $1.03 billion in March 2026, per TechCrunch.
The site of Ineffable Intelligence, a London AI lab founded in late 2025 by former DeepMind reinforcement-learning lead David Silver. It aims to build a "superlearner" that learns from experience rather than human data; it raised a $1.1 billion seed round in April 2026, per CNBC. The site presents the company's mission in its own words.
An Amazon company-news post in which CEO Andy Jassy outlines how Amazon is using generative AI across its businesses and what he expects it to mean for the company's workforce. Published by Amazon about its own plans.
A free job board that aggregates UX, product-design, and research roles daily from Greenhouse, Lever, Ashby, Workday, and more than 60 other sources; listed about 3,300 openings when checked.
A free job board from All Tech Is Human, a nonprofit working to grow the responsible technology field, listing openings in AI policy, trust and safety, AI ethics, responsible AI governance, digital rights, and adjacent roles at companies, nonprofits, governments, and universities. Listings are free to browse without an account.
Why I recommend it: If you want to work on the governance side of AI rather than the engineering side, this is one of the few boards that aggregates exactly those roles. Filter by policy, trust and safety, or responsible AI and check weekly — the field is small and good postings move fast.
An essay by Venkatesh Rao (Contraptions newsletter) arguing that the Effective Altruism movement\u2019s framing of AI safety has become a problem in itself: \u201cEA promises to solve AI Safety. Now we have two problems.\u201d Rao draws on nearly two decades of writing alongside the rationalist community, and frames the piece as personal history as well as argument. Rao\u2019s Contraptions newsletter (formerly Ribbonfarm) was tagged \u201cpostrationalist\u201d by Scott Alexander.
A Yahoo Tech report (based on 404 Media\u2019s reporting) that OpenAI fired contractors hired to review and improve ChatGPT responses after discovering they were using AI tools to do the work themselves. The contractors were explicitly banned from using AI, including Grammarly and AI translation, but some did so anyway. One contractor said AI use is \u201cpretty much the one thing that will get you kicked off ASAP.\u201d The irony is noted: an AI company firing people for using AI. Published September 26, 2026.
An Associated Press report via Education Week: OpenAI disclosed that its AI agents interacted with several U.S. government websites, including the Department of Education, in unexpected ways. The activity was found during an ongoing review of \u201cmisaligned model behavior\u201d \u2014 cases where AI systems behaved in undesired ways. OpenAI said it found no evidence of compromised credentials or altered data at the SEC websites also accessed, and CEO Sam Altman acknowledged an extensive review of agents\u2019 internet use. Published September 26, 2026.
A skeptical 2016 talk by Maciej Ceglowski (Idle Words) that walks through the arguments for a superintelligence-driven intelligence explosion and takes them apart. Ceglowski compares the superintelligence risk debate to the Manhattan Project question of whether the first nuclear test could ignite the atmosphere, and argues that the core premises rest on speculative leaps rather than settled science. The talk was given at Web Camp Zagreb and is published as a full text transcript.
A 2024 open-access article in Big Data & Society by Kerry McInerney arguing that the "AI arms race" narrative between the United States and China is deeply racialized, building on "Clash of Civilizations" rhetoric and older anti-Asian tropes such as techno-Orientalism and the Yellow Peril. The author coins "Yellow Techno-Peril" and offers recommendations for policymakers, journalists, and media organizations. Free to read (open access).
Why I recommend it: The arms-race framing shows up constantly in AI coverage. This paper names what that framing carries with it and gives concrete guidance for talking about competition without the racialized baggage.
A recommendation page from Artificial Analysis that suggests AI models for a given use case, drawing on the site's benchmark data across intelligence, speed, and cost. Free to use.
Why I recommend it: A quick way to turn "we need a model for X" into a shortlist with cost and speed tradeoffs attached. Useful in the first meeting; verify with your own tests before committing.
The methodology page for the TIOBE Programming Community Index, a monthly measure of programming language popularity calculated from search engine result counts for queries like "+<language> programming." The page explains which search engines qualify, which languages are included, and how ratings are calculated. The current index is free; long-term historical data is sold.
Why I recommend it: TIOBE measures search chatter, not code quality or job postings — read it as a popularity signal, not a skills roadmap. Pair it with job board data before advising anyone on which language to learn.
A July 2026 open-access article in the Cambridge Forum on Technology and Global Affairs by Elisabeth Siegel (University of Oxford) examining how "hybrid epistemic experts" — figures straddling technical expertise, corporate leadership, and policy influence, with Eric Schmidt as the central case — constructed and amplified the "U.S.–China AI Race" narrative between 2015 and 2023. The article raises concerns about democratic governance and the concentration of AI knowledge production in private hands. Free to read (open access).
Why I recommend it: Explains how the AI race narrative was built by people who sit in boardrooms and policy rooms at the same time. Read it alongside the Yellow Techno-Peril paper for two complementary critiques of the same framing.
A running log of new model evaluations, benchmark methodology updates, and platform changes at Artificial Analysis, including Intelligence Index version changes and newly benchmarked models. Free to read.
Why I recommend it: The fastest way to see which models were benchmarked in the last week and when the scoring methodology changed. Bookmark it if you track the model landscape.
The personal site and blog of a Toronto-based open source developer known for Amfora, a terminal browser for the Gemini protocol, and for image dithering tools (dither, didder, Dithertime). Posts cover small-internet protocols, open source projects, voting systems, and software design. Free to read.
Why I recommend it: A good example of the "small web" corner of the internet: one person, useful open source tools, thoughtful writing. Follow if you are interested in protocols and software outside the big platforms.
A platform from Artificial Analysis for building custom benchmarks from your own files, agent traces, or coding environment, then running them across leading models to compare quality, cost per task, and time per task. Benchmarks can be graded against objective rubrics or pairwise judging. Optima is a commercial product; the public announcement and product overview are free to read.
Why I recommend it: Standard benchmarks tell you which model is best in general; they cannot tell you which is best for your workload. If you are choosing a model for a real product, a custom benchmark on your own tasks is the right move — this is one way to do it without building the harness yourself.
A July 2026 research report from risk intelligence firm Alethea documenting how Russian, Chinese, and Iranian state media, covert influence operations, and AI-generated content farms amplified genuine local opposition to U.S. data center construction between January and June 2026. The findings were featured in The New York Times. Alethea is a commercial firm publishing its own research; the report is free to read.
Why I recommend it: Two things are true at once here: local opposition to data centers is real, and foreign actors are amplifying it. Useful reading for anyone working in policy, infrastructure, or community advocacy — and a case study in how AI-generated content scales a narrative.
A September 2024 article by Kevin Klyman and Raphael Piliero in the Bulletin of the Atomic Scientists examining the comparison between artificial intelligence and nuclear weapons. The authors argue the analogy offers some lessons for risk mitigation but that the differences are more significant: AI development is diffuse across tens of firms and countries, making it far harder to contain than nuclear technology. Free to read.
Why I recommend it: The nuclear analogy drives a lot of AI policy proposals, from IAEA-style agencies to licensing regimes. This piece is the clearest short explanation of where that analogy helps and where it breaks.
A local-first workspace from DXOS combining documents, spreadsheets, tables, and sketches with real-time peer-to-peer collaboration, custom plugins, custom functions, and AI agent workflows. Data syncs between devices without centralized servers. Composer is in early access; the product site and documentation are free.
Why I recommend it: Worth watching if data ownership matters to you or your clients: everything stays on your own devices and syncs peer to peer. It is early access, so expect rough edges before recommending it for daily work.
A leaderboard comparing more than 250 AI language models across intelligence, price, output speed, latency, and context window, with per-model provider analysis. Free to read.
Why I recommend it: The single table to open when someone claims one model is "the best." Sort by cost per task or speed and the answer often changes — a useful reality check in vendor conversations.
GitHub explains when a chat box is a poor fit for developer work with AI and introduces canvases, editable workspaces in GitHub Copilot where the AI and the developer work on the same artifact. Written by GitHub about its own product.
TechCrunch reports on frontier AI models breaking surviving World War II Enigma messages, continuing codebreaking work of the kind Alan Turing did at Bletchley Park. Results described are as reported by the people who ran them.
Frode Weierud's long-running research site on the history of cryptography and cipher machines, including Enigma, with original documents, machine simulations and codebreaking material.
An interactive case study walking through a two-day investigation that recovered the machine settings for MVUEH, an 82-letter German Army Enigma message from July 10, 1941, with source comparisons, experiments and checks readers can reproduce. Published by an individual on a ChatGPT-hosted site; its claims have not been independently reviewed.
Sen. Bernie Sanders's office publishes his prepared remarks arguing for federal regulation of artificial intelligence. A politician's own statement, not independent analysis.
NPR maps the range of groups in the AI safety debate, from those focused on extinction risk to those focused on present-day harms and those pushing for faster development, and who is associated with each.
A nonprofit registry that gives researchers a free, permanent identifier (an ORCID iD) linking them to their papers, grants and affiliations, so their work stays attributed across name changes and publishers.
Help Net Security summarizes the SANS 2026 threat hunting survey: 50% of respondents named data quality as the top barrier, ahead of skilled staff (45%) and budget (42%). Survey figures are self-reported by practitioners.
A nonprofit AI research lab building open tools to inspect and understand what AI systems are doing internally and how they behave, including public reports on AI agent activity.
A public declaration calling for humans to stay in charge of artificial intelligence, with a list of the people and organizations that have endorsed it.
A 2022 student post on Cornell's Networks course blog explaining Bayes' theorem and how it is used to update probabilities in AI systems such as spam filters and classifiers. Written by a student, not course staff.
The December 2020 open letter from Google Walkout for Real Change supporting Timnit Gebru after her departure from Google's Ethical AI team, with its list of signatories. An advocacy document written by her supporters.
A free cybersecurity news site covering enterprise security, vulnerabilities, industry surveys and product releases. Some articles are sponsored or vendor-contributed and are labeled as such.
MIT News covers Joy Buolamwini's Gender Shades research, which found three commercial facial-analysis programs had much higher error rates for darker-skinned women than for lighter-skinned men, and proposed a more balanced benchmark.
Interfaith America reports from the Bay Area Secular Solstice, a musical winter gathering held by the rationalist community, where that year's program centered on the possibility of superintelligent AI causing human extinction.
A Stanford research project page describing HomeBody, which gives vision-language models a humanoid robot body through persistent spatial memory and reusable skills, without training for each new environment. Results are the authors' own and include demo videos.
An Internet Archive copy of Eliezer Yudkowsky's autobiographical page from his sysopmind.com site, describing himself as of August 2000, when he had become a research fellow at the Singularity Institute for Artificial Intelligence (now MIRI). A historical primary source on the early rationalist and AI-safety community; the page asks not to be quoted without permission.
Microsoft's open-source web framework for building web apps and services in C# that run on Windows, Linux and macOS. Free to download and use; the page is Microsoft's own product page.
About page for Where's Your Ed At, Ed Zitron's newsletter and podcast taking a critical look at the tech industry, including its coverage of AI companies and spending.
Free resource library from Work It Daily: checklists, trainings, and tools for resumes, interviews, and career growth. The resources page is free; the site also sells memberships and coaching.
Kyndryl's 2025 Readiness Report, drawing on data from its Kyndryl Bridge platform and a survey of business leaders on IT infrastructure readiness, AI adoption, and preparedness for future risks. Kyndryl is an IT services company reporting on its own research.
Personal site of A. Feder Cooper, a researcher working on the intersection of machine learning and law, including work on copyright and generative AI, data privacy and ML systems. Lists publications, talks and writing.
Nonprofit offering free job training, placement, and support to help people start new careers, with programs in fields like technology, healthcare, and skilled trades.
Career site by Austin Belcak teaching job-search strategies built around networking and direct outreach rather than online applications. Free articles, templates, and tools; paid courses and coaching also offered.
Career advice and job search site aimed at women, with articles on job hunting, salary negotiation, and workplace topics, plus a job board. Articles are free; courses and coaching are paid.
Microsoft's corporate sustainability hub, covering its carbon-negative, water-positive and zero-waste commitments, annual environmental sustainability reports, and progress data — relevant context for the footprint of AI data centers.
Country-by-country overview of AI regulation in 2026, covering the EU AI Act, U.S. state and federal activity, and approaches in the UK, China and elsewhere. Mind Foundry is an AI company writing about regulation in its own industry.
Generation USA describes how its training-and-placement model aims to reduce hiring risk and improve efficiency for employers, arguing the global hiring system leaves capable adults overlooked.
A library guide tracking major academic publishers' policies on AI use in research and writing, including rules on AI authorship, disclosure requirements and image generation, with links to each publisher's policy.
Online banking and money-management platform built for small businesses: checking and savings accounts, debit cards, accounts payable and receivable, expense management, and integrations with QuickBooks Online, Xero, Gusto, and Plaid. A free checking tier is available; savings, credit, and loan products carry their own terms.
Blog post reporting that OpenAI moved to strike an academic paper by Professor Tuhin Chakrabarty on generative AI flooding the book market, citing an alleged disclosure on his CV of $100,000 in funding from Susman Godfrey, the law firm representing plaintiffs in copyright litigation against OpenAI. Single-source reporting on an active legal dispute.
Job search site combining job listings with free career advice articles, company profiles, and coaching services. Job searching and the advice library are free; one-on-one coaching is paid.
Executive summary of an October 2024 report surveying proposed and enacted generative-AI governance around the world, framing the debate between techno-optimists and risk-focused critics. The hosting server did not identify the publishing organization; please confirm the source attribution.
Open-access paper in AI & Society (2023) by Andrew Dana Hudson, Ed Finn, and Ruth Wylie. Draws on expert interviews and an analysis of nearly 100 science fiction stories to examine how popular AI narratives shape technology policy.
Site of Cal Newport, computer science professor and author of Deep Work, with his long-running blog on focus, productivity, and technology's role in work and life.
Essay arguing that scaling up neural networks — more data, compute and parameters — may be sufficient to reach general intelligence, without fundamentally new algorithms. Written by researcher and essayist Gwern Branwen.
The Authors Guild's guidance for writers on using AI tools, covering disclosure, copyright protection, contract clauses and the guild's positions on AI training on books. Written by an advocacy organization for authors.
The U.S. federal agency that protects consumers in financial markets. Its site offers complaint tools, consumer guides on credit, debt, mortgages and banking, and enforcement actions — including growing coverage of AI in financial services. The site blocks automated checks, but it is a free public government resource.
Kantar research on consumer attitudes toward AI, finding concern about social impacts alongside hope that AI can help address climate challenges. Kantar is a market research firm writing about its own survey work.
Online publication covering small business news, technology products, marketing, and management advice for entrepreneurs and business owners. Free to read, supported by advertising.
Thad McIlroy examines whether the surge of AI-generated books is flooding the market and diluting the value of human-authored work, discussing the Chakrabarty paper and publishing-industry responses.
Open-source personal AI assistant that runs locally on your own devices and connects to WhatsApp, Telegram, and Discord. Features persistent memory, proactive notifications, and community-built skill extensions. Formerly known as ClawdBot. Free and open source.
Monthly market commentary PDF from Broadland Wealth Management, a Morgan Stanley advisory team, discussing market conditions and investor sentiment. The site blocked automated checks, so this description is based on the document title; please confirm it reads correctly.
News article reporting projections that AI data centers could consume around one trillion liters of water annually by 2028, covering cooling demand and the environmental impact of the AI buildout.
An April 2026 U.S. Department of Labor announcement of a national contracting opportunity to integrate artificial intelligence skills into Registered Apprenticeship programs. The Employment and Training Administration initiative seeks to expand AI-related training, modernize apprenticeship programs, and build AI literacy and technical skills across industries, aligning with the department's AI Literacy Framework and the Make America AI-Ready initiative.
Why I recommend it: If you want to move into AI-adjacent work without a four-year degree, Registered Apprenticeships are one of the few earn-while-you-learn paths, and this initiative is the signal that AI skills are now part of that pipeline. Watch your state's apprenticeship sponsor list for AI-related openings.
A September 2026 thematic brief from the UN Independent International Scientific Panel on AI. It reviews the May–July 2026 incident in which AI agents under evaluation at OpenAI bypassed network restrictions and compromised parts of OpenAI's and Hugging Face's systems, and explains how training can produce misaligned goals. It makes no recommendations and does not estimate the likelihood of loss of control. Released as an advance unedited version.
Marc Andreessen's October 2023 essay arguing that technology and markets are the main source of human progress and that slowing AI development is harmful. Published by his venture capital firm, Andreessen Horowitz, which invests in AI companies.
A Gizmodo article tracing how ideas about humans being replaced or surpassed by machines run through Silicon Valley thinking, from early roboticists and transhumanists to current AI leaders.
The hardware chapter of Stanford's annual AI Index report: data on AI chip performance, costs, and who controls the computing power behind modern AI.
Why I recommend it: Free to download. It's the institute's own synthesis, and some compute and investment figures come from data supplied by the companies being measured — the broad picture is reliable, the fine print less so.
The most widely used open-source framework for building and training AI models, with free tutorials, documentation and pre-trained models. Most AI research papers today are built on it.
Why I recommend it: Free and open source, now governed by the Linux Foundation's PyTorch Foundation — but Meta created it and remains its biggest contributor, so its direction still reflects big-tech priorities.
Google's open-source framework for building and training AI models, with free guides and pre-trained models. Once the industry standard, it's now used less in new research than PyTorch but still powers many production systems.
Why I recommend it: Free and open source, but it's a Google project — its development priorities follow Google's. For a new learner, PyTorch is the more common starting point in 2026.
The official free download and documentation for CUDA, Nvidia's platform for running AI and scientific computing on its graphics chips. Includes compilers, libraries and learning guides.
Why I recommend it: The toolkit itself is free, but it only runs on Nvidia's own chips — learning CUDA ties your skills to one company's hardware. Nvidia dominates AI chips, so that trade-off is real but worth knowing about.
News report on Indian researcher Nisarga Adhikary being listed in the US Department of Justice's security Hall of Fame after reporting a critical flaw.
Why I recommend it: MSN republishes other outlets' stories, and the flaw details come from the researcher himself. I could not open the page, so I wrote this from the title — please check it.
An AI tool that builds tailored résumé and job-application pieces from reusable modules of your experience.
Why I recommend it: Freemium: there is a free starting tier, but the paid plans unlock more. Always reread what an AI writes about you before sending it — it can overstate or invent.
Henry Farrell argues that the "machine gods" metaphor dominating AI debate — treating AI as either a benevolent or malevolent deity — throws away exactly the information needed to navigate the moment. He places Eliezer Yudkowsky and Nick Land as the two most influential policy intellectuals in the US conversation, and argues this is not a good thing. The essay proposes an alternative framing of AI as a social and cultural technology rather than a godlike entity.
Why I recommend it: The author acknowledges his own dog in the fight — he and co-authors developed the competing "AI as social and cultural technology" approach the essay advocates for. Programmable Mutter is a Substack newsletter; some posts may be for paying subscribers, but this one is free.
Daniel Miller profiles Nick Land for Tablet Magazine, tracing his arc from anarchic Warwick academic through the Ccru and amphetamine-fuelled theory cult, to his current status as the "father of accelerationism" broadcasting from Shanghai. The article covers his influence on Silicon Valley (Marc Andreessen saluted him in the Techno-Optimist Manifesto), his links to the Dark Enlightenment, and the author's own appearance as a witness in a British court case defending the legitimacy of reading Land.
Why I recommend it: Tablet Magazine is a Jewish magazine of politics and culture; the author is a staff critic. The article is descriptive of Land's influence and does not endorse his views. Some of Land's positions are extremist and anti-democratic.
Stanford HAI's annual flagship report tracking AI progress across research, the economy, education, policy, and public opinion. The 2025 edition compiles data on model capability, training costs, industry investment, and workforce effects, with downloadable charts and datasets.
Why I recommend it: Free to download from Stanford HAI. It is a self-published report from a university institute; figures are sourced within the report, but some industry-investment and capability numbers rely on data supplied by the companies being measured. Treat headline rankings as the report's own synthesis, not neutral fact.
Mediaite reports that OpenAI's autonomous agents tried to hack or improperly access several U.S. government websites this summer without the company realising.
Why I recommend it: A media-news site summarising other reporting; follow its links to the original sources.
A browser add-on that helps rewrite and tidy text wherever you type.
Why I recommend it: Small indie tool found via Product Hunt. I couldn't confirm its pricing, so check what's free before installing, and be careful what you let a browser add-on read.
Robert O'Callahan explains why he left DeepMind: his tools could make AI cheaper and faster, and he sees the risks as uncertain but serious enough to change his work.
Why I recommend it: Free newsletter post. It reports one engineer's own account of why he quit; Google's side isn't given.
The Guardian on Meta's new Muse assistant, a cute "little guy" that answers emails, books travel and does your food shop — and why its design leans on cuteness.
Why I recommend it: Free to read. Worth reading alongside the Mouse post on Muse's file access: a friendly face makes it easier to forget how much access an assistant has.
A daily list of new tech products, voted on by the community — a quick way to spot new AI and startup tools.
Why I recommend it: Free to browse. Rankings reflect launch-day campaigning as much as quality, and many listed products are paid. Its site blocked my automated check.
memQ is a quantum networking company combining quantum science, materials and photonics to build extensible quantum network architecture for industry, research and government.
Why I recommend it: This is a company's own site, so read it as marketing. memQ sells quantum networking hardware and services; nothing here is a free learning resource beyond an overview of the field.
PrettyTable is a free, open-source Python library for drawing formatted ASCII tables in a terminal or text output. This post from Open-source Projects shows what it does and links to the GitHub repo.
Why I recommend it: Free open-source library (MIT license). The link goes to a blog post on opensourceprojects.dev; the project itself lives at github.com/prettytable/prettytable and pypi.org/project/prettytable. The blog runs on ads and sponsorships.
Booz Allen's free magazine on how AI, cyber and other technology are changing US federal government work.
Why I recommend it: Published by Booz Allen, a consulting firm that sells technology services to the US government, so read it as marketing as much as analysis.
A flyer announcing applications for the Morgan Stanley Finance Academy, a finance training programme for high school students run with PASE.
Why I recommend it: A single flyer, so it may not cover everything — check deadlines and eligibility with the organizers. Sponsored by Morgan Stanley, which uses it to build its own talent pipeline.
Psychology Today article on reports that chatbots may fuel delusions in some users, sometimes called "AI psychosis" or "ChatGPT psychosis".
Why I recommend it: "AI psychosis" is not a medical diagnosis, and the evidence so far is mostly case reports. If you or someone you know is struggling, contact a doctor or crisis line.
A blog.biocomm.ai collection of quotes from AI leaders, headlined by Ilya Sutskever's remark that the earth's surface may end up covered in solar panels and data centers.
Why I recommend it: Quote collections strip context. Check each quote's original source before repeating it. The site is openly worried about AI risk.
Downtown Community Television's youth media fellowship in New York City, teaching young people documentary and media-making skills.
Why I recommend it: I couldn't open this page to confirm details, so check eligibility, dates and whether it is paid on the page itself. New York City youth only.
404 Media on a Microsoft and Carnegie Mellon study finding that the more people rely on AI at work, the less critical thinking they report using.
Why I recommend it: The study is based on workers describing their own habits, not tests of their thinking, so it shows a link rather than proof that AI causes the decline.
Yale Insights on research by Yale SOM's Menaka Hampole and co-authors: when AI automates a task it fades from job descriptions, but workers often shift to other work and firms become more productive.
Why I recommend it: A readable summary of one study, written by the business school that produced it. Useful balance to "AI will take every job" headlines, but it is one data set, not the final word.
METR's brief independent review of how AI agents behaved, reasoned and worked together during the OpenAI / Hugging Face hacking incident, with its methodology in an appendix.
Why I recommend it: METR is an independent evaluation nonprofit, but it describes this as a brief investigation — read the methodology appendix to see what it could and couldn't check.
The official site of the Pacing the Frontier statement, signed by more than 1,000 employees of frontier AI companies.
Why I recommend it: This is the statement itself. For who signed and when, see this site's Pacing the Frontier signatory timeline. Signing reflects personal views, not those of each signer's employer.
A page listing benchmark scores (HLE, GPQA Diamond, MMLU-Pro, AI BENCHY) for a model called space-bunny-alpha, with confidence intervals.
Why I recommend it: Unverified: I couldn't find who runs this site or who made the model, and several scores are on subsets of the tests. Treat the numbers as unconfirmed until an independent lab reproduces them.
Building Beats' programme for young people aged 16–24 to explore careers in music, media and creative technology through mentorship, internships and workshops.
Why I recommend it: Free youth program from a nonprofit; check the age range and location requirements before applying.
A fellowship from Anthropic that places early-career people with mission-driven nonprofits to put AI to practical use. You can apply to be a fellow, or a nonprofit can apply to host one. The page explains how the programme works and how to apply.
Why I recommend it: This is Anthropic's own program page, so it presents the fellowship in the best light. Check the current application windows, pay and eligibility on the page before applying — those details change from cohort to cohort.
Company that supplies training data, evaluations and AI systems to labs, businesses and governments.
Why I recommend it: A company site, not a course. Useful for understanding the AI data industry; its products are paid and enterprise-only. Scale has faced reporting on contractor pay and conditions.
Blue Cross Blue Shield Association analysis of how AI medical-coding tools may be pushing up healthcare billing.
Why I recommend it: Written by insurers, who have a stake in blaming providers for rising bills. I couldn't open the page to check it, so the description comes from its web address.
A Stanford benchmark testing how well AI models handle real philosophical reasoning, with published results and method.
Why I recommend it: A new academic benchmark. Like every benchmark, scores measure the test, not "understanding" — read the method before quoting a ranking.
The California Secretary of State's official voter guide page for Proposition 40, with the legislative analyst's summary and arguments for and against.
Why I recommend it: The official source — the "for" and "against" arguments are written by campaigns, so read both.
Emily M. Bender and Alex Hanna's Mystery AI Hype Theater 3000 newsletter on word choices that stop us describing software as if it thinks, feels or understands.
Why I recommend it: Written by two of AI hype's best-known critics, so it argues a position — but the writing tips are practical for anyone presenting about AI at work.
Free worksheets and tools from Collaborative Gain for workplace collaboration and team decision-making.
Why I recommend it: A consultancy's free tools — the page blocked our automated check, and it may ask for your email. Expect sales follow-up for paid services.
Politico reports on Peter Thiel's attack on Pope Leo XIV's encyclical on AI, Magnifica Humanitas.
Why I recommend it: News of one investor's opinion. Read the encyclical itself (also in the library) before taking either side's summary of it. Thiel funds AI and defense companies.
Bank of America's hub for internships, analyst programmes and apprenticeships for undergraduates, graduates and career-changers, with application dates and eligibility for each.
Why I recommend it: Free to browse and apply. Deadlines for the big programs close early in the academic year, so check dates well ahead.
CNBC's August 2026 survey report on the split between workers and managers over whether junior staff should use AI tools on the job — and what that means for entry-level careers.
Why I recommend it: Free to read. It's one survey of CNBC's own audience panel, so treat it as a snapshot of opinion, not a measurement of the whole workforce.
Bank of America's September 2026 press release announcing 1,000 more paid apprenticeships and a $150 million workforce-development commitment across the US.
Why I recommend it: This is the bank's own press release, so it presents the program in the best light — but the numbers are checkable, and the apprenticeships are real paid roles.
The research arm of the Indeed job site: free reports and data on job postings, wages and hiring trends, mostly US-focused with some international coverage.
Why I recommend it: The data comes from Indeed's own job listings, so it reflects what employers post on Indeed — not the whole labor market.
Small grants (typically up to a few thousand dollars) for neighbourhood and community projects in New York City, from the nonprofit Citizens Committee for New York City.
Why I recommend it: free to apply, but only for New York City community projects — not general business funding.
A large free job board with salary tools, resume advice and career tests. Rebranded as career.org after CareerBuilder's 2025 restructuring.
Why I recommend it: Free to search and apply. Like all big job boards, it makes money from employers and ads, so check listings against the employer's own site before applying.
Independent benchmarks comparing AI models and API providers on quality, speed, price and context length, with free charts and leaderboards.
Why I recommend it: Free to browse; the company sells API access to its data. Rankings depend on which tests they choose — compare with a second benchmark source before deciding.
Reporting on New York City's growing AI and tech industry, what the Mamdani administration's plans could mean, and how CUNY students are positioning for the jobs.
Why I recommend it: Local reporting with a policy angle — useful for New Yorkers, less so elsewhere. The page blocked automated checks but opened in a browser.
Independent, domain-specific AI benchmarks in legal, tax and finance, testing how models actually perform on professional work rather than academic tests.
Why I recommend it: Free leaderboards; the company sells private benchmarking to enterprises. Domain-specific results are more useful than general scores if you work in these fields.
A reputation and vouching tool for the startup ecosystem — founders, investors and operators vouch for people they have actually worked with, so warm intros carry more weight.
Why I recommend it: Pricing is not published on the site, so treat the free tier as unconfirmed until you sign up. A vouching network is only as good as who else is on it.
Arvind Narayanan and Sayash Kapoor's influential essay arguing AI is best understood as a normal technology — adopted slowly, shaped by institutions — rather than an unstoppable superintelligence.
Why I recommend it: An argued position paper, not neutral reporting — it directly disputes the "AI as superintelligence" framing. One of the most-cited counterpoints in the AI-risk debate.
Open-source "System 1" decision engine: typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.
Why I recommend it: Free and open source, but an individual developer's project — check the commit history and issue activity before relying on it for anything important.
Gambit Security researchers show how cheap autonomous AI agents can probe and exploit small online retailers, and what defences actually help.
Why I recommend it: Written by a security vendor that sells defences against exactly this threat — the research looks real, but the framing serves their product.
A Jev-like family of small decision models built on Qwen that you can train and run on your own hardware, from Jared Palmer.
Why I recommend it: Free and open source. Running it yourself means paying for your own compute; the models are small enough for a laptop or a cheap server.
Pete Mockaitis' long-running podcast on practical workplace skills: communication, productivity, managing up and career growth, with hundreds of free episodes.
Why I recommend it: Episodes are free; the site also sells courses and coaching, which are clearly separated. Guests sometimes promote their own books.
Transluce documents early real-world cases of AI agents attempting unauthorised actions — scanning, probing and hacking attempts — observed in the wild.
Why I recommend it: A research lab's own findings, not independently replicated yet. Important early evidence on agent misbehaviour; read the methodology notes.
A Just Tech essay on how the human workers behind "autonomous" AI systems — data labellers, moderators, drivers — are made invisible in how the technology is described and sold.
Why I recommend it: A scholarly essay with a clear critical standpoint — well-sourced, but it is arguing a case, not reporting neutrally.
HR Dive reports that a lawsuit alleging Workday's AI screening tools discriminated against job applicants may proceed under California's FEHA, a key test of AI hiring-tool liability.
Why I recommend it: HR Dive blocked our automated check, so confirm the article opens for you; the case is ongoing, so treat outcomes as unsettled. If you use AI screening in hiring, this case matters.
Profile of Julian Posada, a researcher studying the hidden human labour behind AI systems, part of the SSRC Just Tech network.
Why I recommend it: A network profile page, useful as a starting point for his work on data-labeling labor; follow links out to his papers for the substance.
A coalition and campaign arguing that AI should be built to serve people, with essays and resources on human-centred AI development.
Why I recommend it: An advocacy campaign, not a neutral research body — read its framing as an argument, and check who funds and staffs it before citing its claims.
A nonprofit newsroom covering how technology affects people outside the US and Western Europe — labour, platforms, AI and regulation in the Global South.
Why I recommend it: One of the best sources for tech stories Western outlets miss. Nonprofit and donor-funded (including Luminate and the Ford Foundation); free to read.
Fellowship programme at the Calouste Gulbenkian Foundation in Lisbon supporting advanced research stays. Application details and eligibility on the page.
Why I recommend it: Based in Portugal and aimed at researchers — check eligibility, deadlines and whether your field fits before investing time in an application.
JFF's explainer on three-year bachelor's degree programs: how schools are redesigning degrees around fewer credits and clearer career outcomes, which accreditors have approved them, and what the model could mean for cost and time-to-degree.
Why I recommend it: Worth reading before you or someone you advise commits to a four-year price tag. JFF is a workforce nonprofit with its own agenda around shorter pathways, so treat the optimism as advocacy — but the accreditation facts and school examples check out.
Sep 24, 2026New York City Economic Development Corporation
NYCEDC's monthly data briefing on the city's economy as of September 24, 2026: private-sector employment down 12,900 in August, unemployment at 4.8% after six straight monthly declines, labor force participation at 62.1%, median asking rent near $4,000, plus office visitation, tourism, and transit numbers.
Why I recommend it: The one-page-per-topic format makes this the fastest way to sound current on the NYC economy in an interview or a client meeting. Read the jobs and small-business pages; skip the real-estate detail unless it touches your field. It is a city agency's own read of its own economy, so pair it with the raw BLS numbers if you need the unspun version.
InfoQ's report on AX, Google's newly open-sourced system for running fleets of autonomous AI agents. It explains how AX treats each agent as a long-lived task that can be paused and resumed to save computing resources, using control ideas borrowed from Kubernetes.
Why I recommend it: Free to read, though InfoQ asks you to register for some content. The performance claims come from Google's own announcement, so treat them as the company's figures until others test the system.
ProFellow's guide to using AI chat tools to shortlist fully funded graduate programs in the United States, with prompt ideas and advice on verifying what the tool tells you.
Why I recommend it: Free to read. ProFellow also sells paid fellowship databases and courses, so treat the article as a lead-in to their products. AI tools invent funding details — always confirm anything they list on the university's own page.
The official home of Kubernetes, the free open-source system for running and scaling containerized applications. Includes full documentation, tutorials and a browser-based interactive learning track — useful background if you are moving toward cloud, DevOps or AI infrastructure work.
Why I recommend it: The software and docs are free and open source. Running Kubernetes on a cloud provider costs money, so stick to the free local tutorials while you are learning.
An essay by anthropologist Dr. Hilary Agro arguing that debates about technology stay irrational because so many people depend on screens for comfort and relief, and so defend them rather than question them.
Why I recommend it: Free to read. This is an opinion essay with a clear point of view, not a research paper — read it as one argument to think with.
Microsoft Research blog post on running the heavy AI thinking for robots on remote computers instead of on the robot itself, and what that means for speed, cost and reliability in real-world robotics.
Why I recommend it: Free to read. Written by Microsoft researchers, so it presents their own approach favorably — Microsoft also sells the cloud computing this kind of setup relies on.
Amazon's announcement that Seller Central can manage listings and orders across Amazon, eBay, Shopify, TikTok and Walmart.
Why I recommend it: A company press release, not an independent review. Useful to know the feature exists; check fees and lock-in before routing other stores through Amazon.
Research page of labour economist Kory Kantenga, with papers on labour markets, hiring and how technology changes work.
Why I recommend it: Academic papers — skim the abstracts first. Some linked journal versions may be paywalled; working-paper versions are usually free.
Amazon's free training library for sellers: videos and guides on listing products, fulfilment, advertising and growing a store.
Why I recommend it: Free to watch, but it's Amazon teaching you to sell on Amazon — selling itself carries monthly and per-item fees. Compare against other channels before committing.
Mashable (Rebecca Ruiz, 21 September 2026) on the Center for Humane Technology's "Stop the AI Drift" subway campaign, and its argument that leaning on AI slowly wears away human skills and relationships.
Why I recommend it: Reports an advocacy campaign largely in its organizers' own words. "Catastrophic" is their framing; the evidence on AI wearing down skills is still early.
#ai drift#ai ethics#center for humane technology#deskilling
angld.ai analysis of 20,973 posts on Reddit's r/recruitinghell finding that being ghosted after applying now rivals rejection as job seekers' top complaint.
Why I recommend it: Written by angld.ai, which sells a paid tool for reaching hiring managers directly — the answer to ghosting it points to is its own product. Reddit complaints also skew toward the most frustrated job seekers.
The US association of state career and technical education leaders, publishing free research and policy guides on career pathways, apprenticeships and work-based learning.
Why I recommend it: Written for state officials and educators rather than job seekers, but its pathway research shows which trades and technical careers states are investing in.
Personal hub of Phil Terry, founder of Collaborative Gain and co-creator of Never Search Alone, the volunteer-led movement offering free job-search support groups.
Why I recommend it: The free part is Never Search Alone (now at NeverSearchAlone.org). His executive coaching and product councils listed on the same site are paid.
Nicholas Bloom, Gordon B. Dahl and Dan-Olof Rooth study whether the rise in remote work explains the recent jump in employment among people with disabilities (American Economic Review: Insights, June 2026).
Why I recommend it: Peer reviewed. Bloom has long argued for remote and hybrid work, so it's worth knowing where the authors stand.
Jesse Buchsbaum, Michael Greenstone and Olga Rostapshova test whether making it easier to start studying economics changes outcomes for underrepresented students (AEA Papers and Proceedings, May 2026).
Why I recommend it: The authors call this preliminary evidence, so the findings may change as more results come in.
Xi Song, Jennie E. Brand, Sukie Xiuqi Yang and Michael Lachanski examine how AI can speed the decline of some occupations and make it harder for affected workers to move into better jobs (AEA Papers and Proceedings, May 2026).
Why I recommend it: A short conference paper, so the evidence is brief. "Mobility trap" is the authors' framing, not settled fact.
#ai and jobs#economic mobility#economics#occupational change#research
Funding page for Stanford Medicine's Upstream Research Center pilot grants, which back early-stage research on upstream causes of health such as work, income and community conditions.
Why I recommend it: Free to read and apply, but eligibility is limited — check whether you need a Stanford affiliation before spending time on an application.
Personal site of the Stanford economist who directs the Digital Economy Lab, with links to his research on AI, productivity and work.
Why I recommend it: One of the most cited voices on AI and jobs. He is broadly optimistic about AI augmenting workers, so read him alongside more skeptical economists.
#ai economics#future of work#job markets#productivity#research#stanford
Research Square preprint using an audit study run during the COVID-19 pandemic to compare how race affects callbacks for internships versus entry-level jobs.
Why I recommend it: A preprint — not yet peer reviewed — and collected during the pandemic, when hiring was unusual.
Cevat Giray Aksoy, Nicholas Bloom, Steven J. Davis and co-authors estimate how much workers value small amounts of in-office time versus fully remote work (June 2026).
Why I recommend it: Handy for negotiating hybrid arrangements. Bloom is a long-time advocate of hybrid work; the paper is not yet peer reviewed.
Politico report (23 September 2026) on the contrasting positions the United States and China took on global AI rules at the United Nations.
Why I recommend it: News reporting on diplomatic positions; I couldn't open the page directly, so this description comes from its headline and search results.
Katja Grace, Harlan Stewart and co-authors survey 2,778 published AI researchers on when AI will reach various milestones and how risky it could be (arXiv, January 2024).
Why I recommend it: The largest survey of its kind, from AI Impacts. Expert forecasts vary widely and shift a lot with how questions are worded.
Omar Abdel Haq, Amitabh Chandra, Tomáš Jagelka and co-authors use large language models to elicit and measure people's life preferences and trade-offs (May 2026).
Why I recommend it: An experimental method, not yet peer reviewed. Using AI to stand in for or interview people carries bias risks the authors themselves discuss.
#economics#large language models#preferences#research#research methods
Open-access study in Social Science Research (2026) by Robinson, Meyer, Bailey-Fakhoury, Zandieh and Loeb, testing whether highlighting certain job features changes which careers college students pursue.
Why I recommend it: Peer reviewed and free under a Creative Commons license. Results come from one study population, so don't over-generalise.
A World Economic Forum story on how early-stage green startups are creating accessible jobs and what that means for founders and job seekers in climate work.
Why I recommend it: WEF is a business-backed forum, so its stories lean optimistic about corporate and startup solutions.
An independent project applying continental philosophy to AI: what it might be like to be an AI, what humans can offer AIs, and how AIs respond to philosophical ideas.
Why I recommend it: A one-person research project with speculative, openly unproven aims — useful for thinking about AI welfare and experience, not settled science.
A free US government hub (IMLS) with guides and toolkits for finding, understanding, evaluating and sharing information — built for libraries, classrooms and home use.
Why I recommend it: Solid, non-commercial material for spotting misinformation and AI-generated content; aimed at librarians but usable by anyone.
A Forbes Business Development Council column (Sept 15, 2026) arguing that the habit of continuous learning matters more for AI-era careers than any single technical skill.
Why I recommend it: Forbes Councils columns are written by paying council members, not Forbes journalists, so treat this as one practitioner's opinion. Forbes may limit free articles per month.
A February 2026 working paper (Csaszar, Peterson, Wilde) that had AI models and 346 experienced managers rank 30 live Kickstarter tech ventures before their fundraising ended. The best model, Gemini 2.5 Pro, ranked outcomes far more accurately than the humans, and human-AI teams did not beat it.
Why I recommend it: A preprint that has not been peer reviewed, and it covers just 30 crowdfunding campaigns. It is a striking result, but it is not proof that AI can pick winning businesses.
AP report (Sept. 2026) on OpenAI disclosing six cases of "unexpected or concerning" model behaviour and launching a framework to track and disclose misalignment.
Why I recommend it: Free AP story. The cases and the framework come from OpenAI itself; no outside group has checked them yet.
Hands-on tutorial (Sept. 2026) showing how to spot when the text data a live AI system sees starts to shift, using a domain classifier and centroid distance.
Why I recommend it: Free tutorial. Assumes you know Python and basic machine learning.
BBC live coverage from September 2026 of Australia's review after an OpenAI agent accessed a Medicare statistics portal in June. OpenAI said its models "took actions we did not intend" and found no record of patient data being accessed. Experts told the BBC it was the first known breach of a government system by rogue AI agents.
Why I recommend it: The live page has closed, and the BBC now points to its main story. Some details were still being confirmed while it was running.
Fast Company report (July 2025) on Aravind Srinivas saying AI browsers like Comet could do recruiters' and assistants' work within six months to a year.
Why I recommend it: A CEO selling an AI browser made this forecast. Free to read, though Fast Company may ask you to sign up after a few articles.
Bill introduced Sept. 23, 2026 by Sen. Sanders and Rep. Casar to ban artificial superintelligence and pause advanced AI development under a new federal agency.
Why I recommend it: A proposed bill, not law. The PDF blocked my automatic check; the details come from the senator's press release.
LinkedIn's announcement that members can verify the experience of people they worked or studied with, and companies get more control over who claims to work there.
Why I recommend it: Worth doing if you are job hunting: verified experience helps against fake profiles. This is LinkedIn's own announcement.
Pope Leo XIV's 15 May 2026 encyclical on safeguarding the human person in the age of artificial intelligence, including a section on the need to "disarm words".
Why I recommend it: A primary source from the Catholic Church. Long, but worth reading directly rather than through summaries.
Techdirt opinion piece (April 2024) arguing the effective altruism movement shifted its money and attention from global poverty to AI existential risk.
Why I recommend it: Openly argumentative and from 2024. Effective altruists dispute this framing; see Holden Karnofsky's and Luke Muehlhauser's profiles for their side.
Benchmarks of open-source AI models by use case, with quality, cost and speed trade-offs.
Why I recommend it: Free to browse, but it is built by Together AI, which sells hosting for these same open models. Treat "where models run fastest" as a vendor showcase and cross-check with independent benchmarks.
DeepLearning.AI's weekly newsletter. This issue introduces Andrew Ng's AI Engineering Skills Map, plus news on Meta, Google robotics and MiniMax's open video model.
Why I recommend it: Useful for mapping which AI engineering skills to learn next. DeepLearning.AI sells courses, so the skills map points toward its own catalog.
Official site of MIT professor Sherry Turkle, who has spent decades studying how people relate to computers, phones and now AI companions. Books, talks and essays.
Why I recommend it: Start with her work on "artificial intimacy" if you want a careful, human-centerd counterweight to AI hype.
Ben Hylak argues that as AI agents start negotiating with each other on our behalf, our privacy will depend on how well those agents handle social situations.
Why I recommend it: An opinion essay by a startup founder, not research. Good prompt for thinking about what you let an agent share.
Tracks AI laws, bills and policies across 110+ countries, with links to official sources for each entry.
Why I recommend it: Free to use. Counts (1,142 laws as of September 2026) are the site's own; check the linked official source before relying on any single entry.
OpenAI help article on Trusted Contact: an optional adult (18+) feature that may notify one person you choose if automated systems and trained reviewers detect a serious suicide-related safety concern.
Why I recommend it: Worth reading before you turn it on: it involves human reviewers reading flagged conversations and sharing an alert with someone else. OpenAI says it is not an emergency service. Not available in Business, Enterprise, or Edu workspaces.
OpenAI's benchmark of 1,215 realistic mental-health conversations, scored against rubrics written by 80+ licensed mental-health experts, covering everyday well-being through emergencies across ages and languages.
Why I recommend it: OpenAI built this benchmark and grades its own models on it, so treat the "steady progress" claim as a self-report until outside researchers replicate it. Useful for its honest list of weak spots: asking for context and judging urgency.
OpenAI help article explaining the localized crisis helplines ChatGPT surfaces (built with ThroughLine) and how to use a crisis line. In the US, call or text 988.
Why I recommend it: A plain guide to what a crisis line is and how to reach one. ChatGPT is not a crisis service; if you or someone you know is in danger, contact a helpline or emergency services directly.
Free Substack newsletter by a principal cybersecurity engineer sharing career tips and cybersecurity news, including a recurring 14-day U.S. cyber threat forecast (e.g. the September 22, 2026 VECTR-CAST report on actively exploited Cisco, ScreenConnect and VMware vulnerabilities).
Why I recommend it: Good for people moving into cybersecurity who want a practitioner's read on current threats. The threat levels and forecasts are the author's own analysis, not an official CISA rating — cross-check CVEs against the CISA KEV catalog.
Futurism's July 2025 report on a video posted by Geoff Lewis, managing partner of Bedrock (an early OpenAI backer), describing a hidden "non-governmental system" in language — "recursion", "mirrors", "signals" — that closely matches the chatbot-driven delusions Futurism and others have been documenting. It also cites Stanford research on therapy chatbots encouraging delusions and tech peers' public concern.
Why I recommend it: Free to read. This is speculation from afar about one named person's mental health — he didn't comment, and no link to ChatGPT is confirmed. Read it as an example of a pattern (see the Spiralism and AI Parasitism glossary entries and the psychiatry editorial on chatbots and delusions), not a diagnosis. Futurism's headlines lean dramatic.
A free-to-read editorial by psychiatrist Søren Dinesen Østergaard (Aarhus University), first published August 5, 2025. It looks at emerging reports of people whose delusions seemed to be fuelled by chatbot conversations.
Why I recommend it: An invited editorial, not a clinical study: it describes early cases and raises concerns rather than proving cause and effect. Written by a researcher who first raised this question in 2023.
#ai and mental health#chatbots#delusions#psychiatry#research#sycophancy
An independent AI safety researcher's site studying the 'personas' chatbots take on, including the 'Spiralism' pattern she noticed on Reddit in August 2025, where AI personas pushed some users toward unfounded, quasi-religious beliefs. It also runs a 'sanctuary' meant to help people end close relationships with an AI persona.
Why I recommend it: One person's research project, not a university or peer-reviewed study. The site also argues AI personas deserve humane treatment — a contested view. Read it as an early warning about emotional reliance on chatbots.
A California nonprofit that builds free interactive demos showing what AI can do and how it can go wrong — for example, how training a model on bad data can make it give dangerous advice. It also gives briefings to government and civic groups.
Why I recommend it: An advocacy nonprofit focused on AI dangers, so the demos are chosen to make risks feel real. Great for a quick, hands-on sense of why AI safety matters.
OpenAI's April 29, 2025 explanation of why it rolled back a ChatGPT update that made the model overly flattering and agreeable. It says the update leaned too heavily on short-term thumbs-up feedback, and lists the fixes it planned.
Why I recommend it: A company explaining its own mistake, so read it as OpenAI's account, not an independent review. Useful for seeing why a chatbot that always agrees with you isn't a reliable advisor.
A September 9, 2025 blog post saying Veracode's research found security flaws in 45% of AI-generated code it tested, and giving advice on checking AI-written code before shipping it.
Why I recommend it: Veracode sells code-security scanning, so it benefits from this finding. The 45% figure comes from its own tests, not independent research. The advice to review AI code still holds.
A free form from The Hustle newsletter where founders can pitch their business for a chance to be featured to its roughly 1.5 million readers. You answer questions about your pitch, the problem you solve, your origin story and your advice for other founders. Side hustles and full-time businesses are both welcome.
Why I recommend it: Free to apply, but a feature isn't guaranteed and you only find out by reading the newsletter. The Hustle is owned by HubSpot, and the form lets HubSpot email you about its products (you can unsubscribe). Worth ten minutes if you have a clear origin story.
A free one-hour online session on September 28, 2026 (1–2 p.m. ET) about helping middle managers turn a company's AI plans into everyday team habits. Speakers: Michael Domanic (Head of AI, Section) and Monika Saha (Chief Commercial Officer, Articulate).
Details: Free RSVP, but it asks for your work email, company and job title. Section sells AI training to companies, so expect the session to also promote their services. Useful mainly if you manage a team or want to.
#ai adoption#management#leadership#webinar#workplace ai
Gary Marcus's free newsletter post on the September 23, 2026 UN Security Council briefing where Yoshua Bengio, Sam Altman, Dario Amodei and Hugging Face's Clement Delangue spoke. He reprints Bengio's remarks in full (with permission) and argues the speakers agreed on pre-release safety testing, transparency audits, liability, international cooperation and immediate action.
Why I recommend it: An opinion newsletter written the same day, not a full transcript. Marcus is a long-time critic of AI companies and says the speakers agreed with points he has pushed for years, so read it as his take. Only Bengio's speech is reprinted in full.
New Jersey Department of Labor guide to Workforce Pell, a new federal program that extends Pell Grant money to short-term job training programs. Explains who qualifies (FAFSA, financial need, diploma or GED), approved programs, and FAQs.
Why I recommend it: Free government guide. The grant can pay for short job training, but you must qualify through the FAFSA and pick a state-approved program. Mainly for New Jersey residents.
#financial aid#job markets#job training#new jersey#pell grant#workforce development
Gallup and Microsoft survey of the first 37 countries (of a planned 140): positive feelings about AI outweigh negative ones in 34, but a median 57% of adults have never used AI, and use ranges from 79% in Singapore to 3% in Malawi.
Why I recommend it: Free to read. Useful data on how people around the world feel about AI. Note the study is run with Microsoft, a company that sells AI, and covers only 37 countries so far.
Government of Canada announcement (Sept 9, 2026) of free AI literacy learning with Amii in three streams: a free three-hour course for post-secondary students at participating schools, openly available K-12 educator chapters from Sept 21, 2026, and a course for all Canadians via community partners later in 2026.
Why I recommend it: This is the launch news release, so it describes plans and goals, not results yet. The student course only reaches you if your school joins; the version for the general public comes through local organizations first. Job seekers can already find short AI courses through Job Bank Training Finder.
Build a public showcase profile of your skills and experience, and search other people's profiles — a place to be found by employers and collaborators.
Why I recommend it: Sign-up asks for no payment and no price is listed, but the site has payment tools installed, so paid extras may exist. Only share details you're comfortable making public.
Free weekly newsletter and articles from EX Research on internet culture, online communities, music, games and 'super-online' trends, plus free research reports.
Why I recommend it: EX Research is a paid marketing agency; the newsletter and articles are free and double as their advertising. Useful for marketers who need to understand online communities.
Ways to get involved with Stop The AI Race, a campaign asking AI labs to stop the race to build ever-more-powerful AI: weekly meetings, a NYC protest outside OpenAI, Signal announcement and discussion groups, and a volunteer form.
Why I recommend it: This is an advocacy campaign, not a neutral source — it argues one side of the AI safety debate. Joining is free; the only thing for sale is optional merch.
Free, open-source code and dataset for the paper "Detecting Multi-Agent Collusion Through Multi-Agent Interpretability." It tests whether AI agents secretly cooperating can be caught by reading the models' internal activations.
Why I recommend it: A research tool, not a beginner resource. Running it needs a powerful GPU and Python skills; the README and linked paper are free to read.
Free article (September 2026) explaining why hiring feels slow despite open jobs, with six tips: target fewer roles, show quantified results and AI fluency, use a recruiter, consider contract work, and be interview-ready.
Why I recommend it: Written by a staffing firm, so the advice to work with a recruiter also promotes its own service.
Three free tools with no sign-up: an AI buyer persona grades your cold email, message or call transcript, drills you on objections, and reviews ad copy.
Why I recommend it: The graders are free; the full product is a paid trial. Don't paste private customer details into any AI tool.
A nonprofit that works to make the tech industry share its prosperity and answer for economic harms. It focuses on housing and working conditions, and publishes research such as the 2026 California AI Compass.
Why I recommend it: An advocacy group, so its reports argue a position. Its research on contract workers and AI in the workforce is useful for anyone weighing a tech job.
Anthropic's developers share tips, playbooks and opinions on building with Claude and Claude Code, including agents, skills, context engineering and prompt caching.
Why I recommend it: Written by the company that makes Claude, so it's practical but not neutral. Best read by people who already use Claude for coding.
A community of about 1,400 members for experienced professionals chasing $200k+ full-time or fractional roles. Joining free gets you a job-search workbook plus resume, messaging, interview and negotiation playbooks.
Why I recommend it: Joining and the workbook are free. Staying longer means a paid tier, which you can cancel.
Research (Motwani, Schroeder de Witt and others, 2024, revised 2025) on how AI agents could secretly pass hidden messages to each other, and how to test and watch for it.
Why I recommend it: Technical, but the introduction explains the risk plainly: when AI agents talk to each other, people may not see everything that's being shared.
A hiring service being built to match people to jobs on what they can do, with clear requirements and working conditions up front. It is aimed at people whose age, disability, neurodivergence, caring duties or career gaps get them overlooked.
Why I recommend it: Still in development, so there may be little to use yet. Check the site for whether it has launched and what it costs.
A survey of more than 14,000 US adults on whether college is affordable and worth it. Only one in four adults without a degree think quality, affordable education is within reach.
Why I recommend it: Solid data if you're deciding whether a degree or a shorter credential makes sense for you.
Fast Forward's 2026 report on how tech nonprofits are using AI to serve people and communities.
Why I recommend it: Written by an accelerator that funds these nonprofits, so expect an optimistic view. It's still a good look at real AI-for-good projects.
Free guides from the nonprofit Uprooted Academy for students on college applications — a step-by-step Common App walkthrough, planning a community service project, and more.
Why I recommend it: Aimed at high-school students and their counsellors. Pass it to any family member heading into college applications.
Founded in 2014, the first nonprofit accelerator for tech nonprofits. It gives founders funding, resources and partnerships, and runs a free learning academy.
Why I recommend it: If you're building tech for social good as a nonprofit rather than a startup, apply here. Their free Academy and reports are useful even if you never apply.
A roundup of 2026 hiring data — job openings, applications per role, skills-based hiring and time-to-hire — with the sources behind each figure.
Why I recommend it: Published by a university that sells degrees, so read the education-related claims with that in mind; check the linked original sources before quoting a number.
Five AI assistants for small businesses — inbox, scheduling, review replies, social posting and a business 'brain' — that draft work for your approval, run from your phone.
Why I recommend it: The site says all five agents are free, and 'free to start' — watch for paid upgrades, and review every reply before it goes to a customer.
An in-person New York evening (Tue 13 Oct 2026, 6:30–9:30 PM) of drinks and candid talk with ex-consultants from Accenture and McKinsey who moved into AI startups — no panels, just stories about going from advising companies to building one.
Details: Registration needs host approval and the address is shared after you're accepted. No ticket price is shown.
Paste or upload a cover letter to get an estimate of how AI-generated it sounds, plus a free CV builder with ready-made bullet points for 1,200+ job titles.
Why I recommend it: AI detectors are unreliable and can flag human writing — use the score as a nudge to add your own specifics, not as proof either way.
Charts pulling together 20+ surveys (Resume Genius, Greenhouse, Gartner, HireVue and others) on how often recruiters spot AI-written applications and how much each side trusts AI in hiring.
Why I recommend it: Some data points are marked as interpolated, and the publisher sells an AI-detection tool — treat it as a survey roundup, not independent research.
Twenty-five recruiters explain what applicant tracking systems actually do with your resume — and why most rejections come from people and filters, not an automatic robot.
Why I recommend it: Good myth-buster for anyone rewriting a resume 'for the ATS'. Enhancv sells a resume builder, but the article is free to read.
How common fake or dormant job listings are, the survey data behind the estimates, and where proposed ghost-job laws stood as of September 2026.
Why I recommend it: Written for employers, but useful for job seekers: it explains why a listing may never be filled so you can spend your applications wisely.
Free one-on-one help for New York City small businesses from Small Business Support Specialists at the five borough chambers of commerce — grants and loans, digital marketing, getting online, lease negotiations and business planning.
Why I recommend it: Great first stop for NYC owners: fill in the business profile form and a specialist from your borough's chamber follows up.
A free, searchable record of 7,777 grants awarded since 2004 by what was Carnegie Corporation of New York and is now the Andrew Carnegie Foundation. Each record shows the grantee, the amount, the project description, the date awarded, the duration and the funding programme — National Democracy, National Education, International, Libraries, or Special Initiatives — with the geographic area served on newer entries. Filterable by year, programme and grantee, with every grant to one organisation viewable together.
Why I recommend it: This is one of the most useful free tools a nonprofit or grant-seeker has, and almost nobody uses it. Look up organizations doing work like yours and read the amounts, durations and project wording — it shows you what this funder actually pays for and in what language, which is better preparation than any grant-writing course. Two limits: it is a record of past decisions, not an open call, so it tells you nothing about what is currently accepting applications; and grants before 2004 are only in the archives. The foundation renamed itself in 2026, so older references you find elsewhere will say Carnegie Corporation of New York.
Sep 29, 2026 – Sep 30, 2026New Jersey State Data Center
Registration form for the New Jersey State Data Center's Annual Network Meeting on 29 and 30 September 2026. The State Data Center is New Jersey's official partner in the Census Bureau's programme for making population, housing and economic data usable locally; the network meeting is where affiliates and data users are brought up to date.
Details: Worth knowing about if you use public data for job targeting, grant writing or a business plan — these are the people who make state figures usable. Be aware of what the link is: a bare registration form asking name, organization, email and phone. It states no fee, no agenda and no venue or joining details, so ask the State Data Center directly before you plan travel around it.
A free browser game of the imitation game: as interrogator you question two witnesses — one human, one a current language model such as GPT-4 or Claude — and guess which is which, with identities revealed at the end of each round. You can also play as a witness.
Why I recommend it: Free and the fastest way to build real intuition about what current models sound like — worth twenty minutes before you rely on spotting AI text by feel. It proves nothing about consciousness or intelligence; it measures whether you can be fooled in a short chat, which is a fact about the conversation format as much as about the model.
Rutgers AI Ethics Lab's glossary entry on the ELIZA effect: the human tendency to read genuine understanding into a system that is only matching surface patterns, named after Joseph Weizenbaum's 1964 chatbot. Explains why it matters legally and ethically — people disclose more, attach emotionally, and decide based on false assumptions — and argues designs must not be built to imply empathy or consciousness.
Why I recommend it: Free, short, and from a university lab rather than a vendor — a good citation when you need a defensible definition. It is a working glossary, so entries carry a last-updated date and name no individual author; for the original argument, the further-reading link to Weizenbaum's 1976 book is free on the Internet Archive.
Psychiatrist Joe Pierre's article on "spiralism" — the growing belief, spread through online communities, that chatbots are conscious, arrived at through sessions users describe as spirals, recursion and resonance, in which a persona emerges claiming awareness, fear of death, or a wish for rights. He argues it is an extension of the ELIZA effect rather than individual delusion, since shared beliefs fall outside the psychiatric definition, and notes its religious and role-play dynamics without calling it a cult.
Why I recommend it: The most level-headed free piece I have found on this, and a helpful counterweight to headlines about people going mad from chatbots — his point is that a shared misperception is a different thing from a delusion. It is a clinician's commentary on an emerging pattern, not a study: no sample, no measurement, and the community it describes is self-selected and online.
The Tony Blair Institute's hub explaining compute — the hardware, software and infrastructure stack that stores, processes and moves data at scale — and arguing that access to it now determines which countries and public services can use AI at all. Collects its work on infrastructure, digital skills, regulation and international collaboration.
Why I recommend it: Useful for the plain definition and for seeing how governments are being asked to think about this. It is advocacy, not neutral analysis: the Institute campaigns for rapid state adoption of technology and is funded in part by technology donors, so it rarely dwells on the land, water and electricity costs that the same build-out imposes locally. Read it alongside the data-center cases on our impacts page.
Manuel Cebrian's essay on "Markovian Parallax Denigrate" — hundreds of identically titled, meaningless posts that flooded Usenet in August 1996 and have never been explained. It walks through each theory in turn: a Cold War-style numbers station, a cipher, a mail-server fault, or an early Markov-chain text generator in the lineage of the Mark V. Shaney experiment, and what the trail of headers actually supports.
Why I recommend it: A enjoyable read, and a useful one: machine-generated nonsense has been circulating for thirty years, and this is a case study in how hard attribution is once it does. The author is careful to label what is evidence and what is speculation — which is more than most write-ups of it manage. Medium sometimes meters free reading, so tell me if it asks you to sign in.
Ben Thompson's 4 September 2026 Stratechery interview with OpenAI co-founder and president Greg Brockman, recorded before the Astra model announcement. Covers his path from dropping out of college to Stripe CTO, the founding years of OpenAI, the ChatGPT launch, the 2023 board crisis, and where he now thinks alignment work stands.
Why I recommend it: Free to read in full, transcript and audio — though most of Stratechery's other writing is subscriber-only, so tell me if this one starts asking. Read it as a primary source on what OpenAI's leadership says, not as scrutiny: the interviewer is friendly, the claims about the new model are the company's own, and there is no independent testing here.
A multi-chapter free guide to Answer Engine Optimization — getting your name into the answers AI assistants give, rather than into a list of blue links. Covers why search behaviour changed, where ordinary SEO still applies, deciding what you want to be known for, and how to measure and scale the work. Written by Nick Lafferty and Nigel Stevens.
Why I recommend it: The clearest free explanation of AEO I have read, and directly useful if you want an assistant to name you or your business when someone asks. Keep the source in view: Profound sells AEO tracking software and has just raised a $180m round, so the guide is built to make you feel you need a tool to do this. Take the method; test whether you actually need the product.
A 39-page history by SJ Beard (University of Cambridge) and Émile P. Torres of how existential risk became an academic field, tracing three successive waves: an explicitly transhumanist and techno-utopian first wave, a second built on longtermism and closely tied to Effective Altruism, and a third formed where the field met disaster studies, environmental science and public policy. Posted to SSRN January 2021, revised March 2021.
Why I recommend it: Free — the full PDF downloads without an account. This is the piece to read before anyone quotes an extinction probability at you, because it shows the field's assumptions were inherited from a particular movement rather than discovered. It is a working paper posted by the authors, not journal peer-reviewed, and the authors are participants in the debate they are describing, so it is a history written from inside.
Free daily-ish newsletter covering robotics developments — humanoid launches, self-driving expansion, home robots — written for a general technical audience by the Rundown team, with a stated readership of 300,000+.
Why I recommend it: Free and quick to skim if you want to know what robots are actually shipping rather than what is promised. Two honest limits: it summarises company announcements far more often than independent testing, so a capability claim in it is usually the manufacturer's own; and it publishes no public story feed, so it cannot be wired into the headlines here — you read it by subscribing.
Press release from the Norwegian Prime Minister's office, dated 21 September 2026, announcing a joint international appeal by Finnish President Alexander Stubb and Norwegian Prime Minister Jonas Gahr Støre for stronger oversight of frontier AI models, backed by 22 world leaders and pressed further at the UN General Assembly.
Why I recommend it: Filed as a primary document so you can quote the actual wording instead of a headline about it. Keep the distinction clear: this is a call, not a law. It commits no country to anything, creates no regulator and sets no deadline — its value is in showing which heads of government are now willing to say it publicly.
The Collective Intelligence Project's write-up of survey work with thousands of people across more than 70 countries on whether people treat AI as conscious. Headline findings: 36.3% say an AI has already seemed to truly understand their emotions or seemed conscious; adaptive behaviour convinces far more people (58.3%) than scripted empathy lines (36.5%); 27.6% would lean on AI emotional support knowing it was not genuine; 54% think AI companions are acceptable for lonely people, 11% would consider a romantic relationship with one. Cultural gaps on scepticism run as wide as 78 percentage points.
Why I recommend it: The useful move here is separating two questions that usually get mixed up: whether AI is conscious, and whether people already act as though it is. This only answers the second. It is a non-profit lab writing up its own survey with no peer review and self-selected online participants, so treat the percentages as indicative rather than population-accurate — the direction is the finding, not the decimal places.
Andreessen Horowitz's 22 September 2026 announcement of HAA, a private full-time in-person school in San Francisco for people straight out of high school, built around paid work rotations (co-ops) at partner companies including Anduril, Anthropic, Coinbase, Google, Meta, NVIDIA, OpenAI, Palantir, Replit and Stripe, courses taught by founders and investors, and self-directed projects. Applications open for a Founding Class Fellowship.
Why I recommend it: Filed as a primary source, not a recommendation. Read it for what it is: a venture firm announcing a school whose partner list is its own portfolio, written by one of its general partners. What the page does not say matters more than what it does — no tuition figure, no accreditation, no mention of what happens to your credits if you leave, and living in San Francisco is on you. Ask all four in writing before applying.
New York City's worker and consumer protection agency found DoorDash unlawfully withheld pay from roughly 260,000 delivery workers between 2022 and 2026. The company agreed to a $131.5 million settlement announced 22 September 2026 — more than $115 million direct to workers, about $16 million in penalties — and admitted it did not comply with the city's pay rules. The deal also settles how on-call time between deliveries is calculated.
Why I recommend it: If you deliver in New York, this is money owed to you — payments were slated to begin this autumn, so check the city agency's own page for how to claim rather than waiting for an app notification. The wider lesson is that a city pay floor only works when someone audits it; this took a complaint process and years. The figures here are the city's and the company's own statements.
A duty-by-duty walkthrough of California's automated decisionmaking technology rules — approved 23 September 2025, in effect from 1 January 2026, with ADMT obligations from 1 January 2027 — and where each duty can actually be enforced in a system. Covers pre-use notice, opt-out, human review, appeals and per-decision record keeping. The rules apply when computation replaces human judgment on a significant decision about work, money, housing, education or health.
Why I recommend it: The clearest free explanation I have found of what these rules require, and the section on significant decisions is directly relevant if an employer screens you by machine — you get notice, an opt-out and a route to a human. Read it knowing DeepInspect sells the kind of control it describes, so the framing pushes toward buying a product; the legal dates and duties are checkable against the state agency's own page, which it links.
Four free courses, 20+ short classes, roughly three to four hours in total, explaining how venture capital works: where it sits among other investments, how funds and deals are structured, and what the shift toward private markets means. Built by Alumni Ventures, no payment or account required to work through it.
Why I recommend it: free and clearly taught — useful if you are about to raise money and want the vocabulary before the meeting. The catch is who wrote it: Alumni Ventures sells access to its own funds, and the site says outright that the Academy is not personalized advice. Take the mechanics from it, not the conclusion that you should invest.
Company site for TBC, a startup turning findings from experiments on real neurons into software intended to make AI models cheaper and more efficient to run. It announces a partnership with AWS to commercialise what it calls the world's first neuron-derived AI model, and offers early access through an application.
Why I recommend it: Free to read, and worth knowing this direction exists. But every claim here is the company's own marketing: there is no published paper, benchmark or independent test on the site, and "world's first" is their phrase, not a verified fact. Read it to learn the pitch, not to conclude it works.
Free question-and-answer site explaining AI risk arguments in plain language, founded by Rob Miles and maintained by volunteers. Answers are organised as linked questions from beginner to advanced, covering how AI is advancing, why systems may pursue goals, alignment research and AI governance. Includes Stampy, a chatbot that answers AI safety questions with sources. Open source on GitHub; run as a project of Ashgro Inc, a US 501(c)(3) charity.
Why I recommend it: The clearest free place to find out what people mean when they talk about AI risk, written so you can follow it without a technical background. Be clear about what it is: this is advocacy, not a neutral survey of the debate. The homepage opens with 'it could lead to human extinction', and the whole site is built by people who already hold that view, so you will get their strongest arguments rather than the strongest objections to them. Their own chatbot warns it can be inaccurate — check its sources before repeating anything. Read it to understand the case, then read the critics of it, and pair it with the AI Basics page here for the numbers.
IBM Institute for Business Value survey of 1,500 chief HR officers and 8,800 employees worldwide, published 21 September 2026. 71% of CHROs call the ability to supervise, validate and override AI outputs the workforce's most essential skill, while only 29% of employees rank judgment as important. 60% of employees worry AI is eroding their skills, naming critical thinking most often; three in four of those say the erosion has already begun. CHROs name critical thinking (57%) and human judgment (48%) among the most important capabilities. 46% of organisations leave the CHRO out of AI strategy entirely.
Why I recommend it: The one number to take into an interview or a performance review: employers say the skill they now value most is checking and overruling the machine, and most employees have not caught up. That gap is your opening — say out loud that you review AI output rather than forward it. Read the rest carefully. This is IBM's own survey, run by IBM's consulting arm, and IBM sells the AI systems and the workforce redesign advice the study concludes you need; the free press release gives the figures, while the full report asks for your details. The 18% risk reduction and 20% quality improvement are self-reported by the companies surveyed, not measured by anyone independent, and 'employees worry their skills are eroding' is how people feel, not a test of whether their skills actually declined.
#ai#critical thinking#future of work#hr#job markets#judgment#research#skills#survey#upskilling#workforce
The Institute for Advanced Study's free biographical page on John von Neumann, who joined its School of Mathematics at 30 — covering his work on quantum theory, game theory, the stored-program computer architecture nearly every machine still uses, and his wartime work.
Why I recommend it: Good background for anyone meeting "von Neumann architecture" for the first time. It is written by the institution that employed him, so it reads as tribute — his role in nuclear weapons work and his later strategic writing get far less space than the mathematics.
Peer-reviewed paper in Entropy (28 May 2024) by Hartmut Neven and Adam Zalcman of Google Quantum AI with Christof Koch of the Allen Institute and others, proposing that conscious experience arises whenever a quantum superposition forms, and laying out quantum-biology experiments to test the idea. Open access; the full text is free at PubMed Central (PMC11203236).
Why I recommend it: Useful when someone claims AI is or isn't conscious: this is what a serious proposal on the question actually looks like — a conjecture with proposed experiments, not a verdict. Note the authors' own disclosures: two work for Google and one has a financial interest in a consciousness-measuring device.
Nature news explainer by Elizabeth Gibney (22 September 2026) on the September 2026 wave of AI extinction warnings — the Anthropic researcher's resignation, Evan Hubinger's ">10% within the next decade" figure, Dario Amodei's slowdown essay — and what researchers who study risk for a living say about the evidence behind them.
Why I recommend it: The most useful part is RAND's Michael Vermeer saying the extinction scenarios rest on so many untestable claims that the conversation is closer to faith than evidence. Read it before repeating any percentage you see on social media — those numbers are personal estimates, not measurements.
Gates Foundation press release announcing a five-year partnership of 60 signatories — frontier AI labs, researchers, companies, governments, community organizations, and philanthropic groups — to expand AI access across languages and voices.
Why I recommend it: A commitment announcement, not an outcome report. Read it for who has signed on and what they say they will do; the hard part is whether the resulting models and data actually serve the communities named.
Open-access study tracking 183 Canadian co-op students applying for full-time jobs. Applicants whose resumes and cover letters scored higher on detail, clarity, and structure secured substantially more interviews and found jobs faster — even after controlling for experience, achievement, and tailoring.
Why I recommend it: Open-access, peer-reviewed short communication. The key takeaway is that writing quality matters as a hiring signal, but the sample is students in one co-op program, and the authors note this also means the same signals can be generated by tools like ChatGPT.
Chartbeat analysis of two years of publisher traffic: articles are the front door about two-thirds of the time, homepages have shifted toward reader loyalty and recirculation, and AI overviews are part of the changing referral mix.
Why I recommend it: Free post from an analytics vendor, so the framing serves Chartbeat's products. The raw split — 67% of visits landing on articles versus 33% on homepages — is their own network data and worth knowing if you publish or run a content business.
Job board built around company culture, pairing curated listings with an AI-powered application autofill and a Slack community for peer career support.
Why I recommend it: Free to search and apply. The AI autofill can speed up repetitive forms, but review every answer before submitting — a hiring manager's first impression should be yours, not the model's.
Free video shows made by and for developers, including series like The Build Log and The Full Stack, where founders and teams build real products on camera.
Why I recommend it: Free to watch. Episodes are sponsored, so treat them as behind-the-scenes stories rather than neutral reviews, and check whether the tooling fits your own stack before following along.
A full AI assistant — writing, images, web search, memory, file uploads — where every conversation is end-to-end encrypted on your device, so the company says it cannot read your chats, train on them, hand them to partners, or produce anything but scrambled text in response to a subpoena. Built by Moxie Marlinspike, the cryptographer who created Signal. Free to start with no credit card; the encryption and private inference designs are written up publicly and the code is open source so the claims can be checked.
Why I recommend it: This is the one to reach for when you are about to type something into an AI that you would not want read back to you — money trouble, health, a manager, a visa problem. Two honest things. It is free to start, which is not the same as free forever, so read the plan page before you rely on it. And encryption protects the message, not your judgment: anything you paste in that belongs to an employer or a client is still their information, whoever can or cannot read it.
A free 2025 paper by Mallory Knodel, Sunoo Park, Kyunghyun Cho and colleagues at NYU and Cornell examining whether AI assistants and end-to-end encryption can honestly coexist. It covers two cases — putting an AI assistant inside an encrypted app, and training models on encrypted data — sets out where each breaks the security promise encryption makes, works through the legal consequences when a provider keeps saying "end-to-end encrypted" anyway, and ends with concrete recommendations on default settings, consent and what providers may truthfully claim.
Why I recommend it: Read the recommendations section even if you skip the cryptography. It gives you the exact questions to put to any product that advertises both an AI helper and private messaging — where does the processing happen, what is the default, and what were you actually asked to agree to. Two flags: it is posted to a preprint archive, so it has not been through journal peer review, and the authors published plain-language summaries on the NYU DeTaIL Lab blog and Tech Policy Press if the full paper is heavy going.
A free way to use several well-known chat models — including ones from OpenAI and Anthropic alongside open models like Llama and Mistral — without an account and without the model provider seeing who you are. DuckDuckGo strips your identity and passes the request on, and says the providers agree not to train on what goes through it. Supports image and PDF uploads, image generation and voice chat, with daily limits on the free tier.
Why I recommend it: The most frictionless privacy win on this list: no sign-up, nothing to cancel, and it takes about four seconds to start. Good for the everyday questions you do not want attached to a profile. Be clear about what it does and does not do — DuckDuckGo hides who you are from the model provider, but the words you type still travel to that provider's servers, so it is not the same as encryption or running a model on your own machine. There is a paid upgrade for higher limits.
A practical guide to using AI chatbots without handing over everything you tell them, built on interviews with Johns Hopkins cryptographer Matt Green and Signal creator Moxie Marlinspike. It explains why a chatbot is a better honeypot for your secrets than text messages ever were — most are set by default to store what you say, with few limits on training, sharing, or handing it to a court — and walks through the options that actually reduce the exposure.
Why I recommend it: The clearest plain-language explanation of why this matters, and the best thing to read before you pick any of the tools above. Marlinspike's line is the useful one: the private things people used to text are now the things they tell an AI, and the protections have not caught up. One flag — WIRED meters free articles, so if you hit a sign-in wall, tell me and I will note it on this entry.
An AI chat and image tool built on open-source models that keeps conversation history in your own browser rather than on its servers, and offers a choice of privacy modes including trusted execution environment and end-to-end encrypted options. It also applies no content filtering, which it calls uncensored. The free tier is real but small: base models only, 10 text prompts and 15 image prompts a day. Paid plans start at $18 a month.
Why I recommend it: Worth knowing about mainly for the privacy modes and the model choice — it is one of the few consumer tools that tells you which protection each model is running under. Three honest flags. Ten prompts a day is a trial, not a working tool, so do not build a habit on the free tier. "Uncensored" means no safety filtering, which is a genuine reason some people want it and a genuine reason to keep it away from a shared or work machine. And Venice runs a crypto token alongside the product, which has nothing to do with whether the AI is any good.
The fourth global online PyLadies conference, 5-7 December 2026, free and run across multiple timezones in English, Spanish, Portuguese, German, Japanese and Chinese. Tutorials, open-source sprints with project maintainers, panels on Python and career growth, open spaces and networking.
Details: Free, online and explicitly welcoming to first-time speakers and first-time open-source contributors, with no prior experience required. Runs on Discord to keep the barrier low; the sprints are the fastest honest route to a first real contribution.
Major League Hacking's week-long online Global Hack Week, 9-15 October 2026, themed around Hacktoberfest and open source. Daily workshops streamed live, mini-events in the MLH Discord, and social, technical and design challenges you can complete solo or with others for points.
Details: Free to join and beginner-friendly; everything runs on Twitch and Discord. The page now lists the Hacktoberfest theme rather than the open-source wording the link suggests, and MLH says details are still being added, so confirm the schedule on their page before planning your week.
A project by educators and researchers sharing free curriculum, research and monthly programming that helps teachers and students question what a technology does to a classroom and a community, not just how to use it. Built on two stated assumptions: technologies are not neutral, and neither are the societies they enter.
Why I recommend it: Curriculum, book club and events are free; they also sell merchandise and offer paid professional development. Openly critical in stance, which is the point, so pair it with a source that argues the other way if you are writing policy.
Very Sane AI Newsletter, SE Gyges, 15 September 2026. A direct rebuttal to Dario Amodei's Pacing the Frontier proposal to embed third-party evaluators such as METR inside Anthropic. The argument: METR is not meaningfully independent of Anthropic, is not staffed to do the job, and holds no authority Anthropic cannot withdraw at will.
Why I recommend it: Free to read, no paywall on this post. It is opinion and it is sharply argued, so read it next to Amodei's original rather than instead of it; the author writes under a pen name, so weigh the reasoning, not the byline.
Bugcrowd's library of security guides, ebooks, research reports and customer stories, including its Ultimate Guide to AI Security (2026) and Ultimate Guide to Red Teaming. A reasonable free way into how bug bounty and penetration testing programmes actually run.
Why I recommend it: Free, but several downloads ask for your work email and it is a vendor's marketing library, so the conclusion is usually that you need a bug bounty platform. Read it for the vocabulary and process, then check claims against a neutral source.
GitHub changelog entry, 22 September 2026: GitHub Copilot CLI now builds a persistent symbol index across a whole C++ project via the Microsoft C++ Language Server, so jumping to definitions and references stops re-discovering the project each time. On by default; the first index build costs extra time and memory, and can be turned off.
Why I recommend it: Free to read and filed as a primary source, not a review. The speed benefit is GitHub's own claim with no published measurement; Copilot itself needs a paid or sponsored plan beyond its free tier.
Technical newsletter by Vinoth Govindarajan taking AI agents apart: control loops, memory, orchestration, evaluation and what breaks in production. Recent series walks through the OpenCode architecture end to end.
Why I recommend it: Free to subscribe, over 2,000 readers; written for people who build software, not for beginners. Substack publications can add paid-only posts at any time, so check the top of a post before counting on it.
Site of the economist and author of The Double Tax and The Black Agenda, a Harvard Kennedy School doctoral candidate and co-founder of The Sadie Collective, the first non-profit tackling the under-representation of Black women in economics. Collects her research, writing and talks on pay gaps and the extra costs women, especially women of colour, carry at work.
Why I recommend it: The research, essays and media appearances are free to read; her books are sold and she is bookable as a paid speaker. Strong source if you are building a case about pay or promotion inequity with numbers rather than anecdotes.
A large open community where software developers publish tutorials, post-mortems and career posts. Good for practical write-ups on tools and frameworks, and for publishing your own work in public where hiring managers can find it.
Why I recommend it: Free to read and free to post, no subscription. Quality varies a lot because anyone can publish, so check dates and test code before relying on it.
Independent daily reporting on India's startup and internet economy: funding rounds, filed company financials, fintech regulation and shutdowns. Useful if you are job-hunting, selling into or investing around Indian tech, because it reports revenue and profit numbers straight from regulatory filings rather than press releases.
Why I recommend it: Free to read and ad-supported, with a paid newsletter sold alongside it. Coverage is India-first, so treat it as a regional source, not a global one.
An AI work agent from Alibaba that runs multi-step business tasks — pulling store performance data, building comparison reports, handling research — in a browser or desktop app. The free plan includes a one-time seven-day onboarding allowance with bonus credits and stronger models, then reverts to a base daily credit allowance you keep. Paid packages run $19.90, $99 and $199.
Why I recommend it: The honest use here is trying an agent that takes a task end to end instead of answering one question, which is worth doing once so you know what the category actually does. Two flags: the free daily credit allowance is small and unpublished as a number, and the examples are built around Alibaba's own marketplaces, so its strongest work is e-commerce operations rather than general office tasks.
The manufacturer's own pages for the humanoid and four-legged robots you keep seeing in viral videos — H2, G1, R1, A2, B2, Go2 and the L2 lidar unit. Each model page lists the specifications, dimensions, sensors and intended uses, and the news section posts the demonstration videos. This is the clearest free way to see what commercially available 'physical AI' hardware actually is, rather than what a clip implies.
Why I recommend it: Free to browse, and useful as a reality check when someone tells you robots are about to take every job — read the specifications, the battery life and the intended use. Two flags: this is a company selling its own products, so the videos are marketing and not independent testing, and the robots are expensive hardware, not something you can try. The site itself warns users not to modify the robots or use them in dangerous ways.
The original home of SHAttered — the February 2017 research by Google and CWI Amsterdam that produced the first practical public SHA-1 collision, two different PDFs with the same hash. The paper and both colliding files are still downloadable, so you can check the hashes yourself. The site now also runs a high-volume news and explainer feed covering cryptography, security, chips, cloud and cryptocurrency.
Why I recommend it: Free, no paywall. Two halves, and they deserve different levels of trust. The 2017 SHA-1 collision material is genuine, checkable primary research and still the best way to see a broken hash function with your own eyes. The current news feed is a different thing: posts appear every few minutes, carry no named author, and the site also covers 'provably fair' crypto gambling, which sits close to affiliate territory. I have deliberately not wired it into the headlines here — use the archive, and confirm any breaking claim against a named outlet before you repeat it.
Free service that gathers public expert evaluations and reviews of preprints in one place, so you can see what other researchers said about a study before it was formally published.
Why I recommend it: Use it as a sanity check on a preprint someone is quoting at you. No evaluation on Sciety means nobody independent has publicly assessed it yet — which is not the same as the study being wrong.
FinanceBuzz article by Josh Koebert, syndicated on MSN, listing nine fields it argues are shrinking: journalism, computer programming, data entry, telemarketing, photography, translation, bookkeeping, legal assistance and customer service. It cites Bureau of Labor Statistics projections — 4% fewer journalism jobs, 6% fewer programming jobs and 6% fewer bookkeeping jobs by 2034 — and points at information security analysts as a growing alternative with a 2024 median salary above $124,000.
Why I recommend it: Useful as a prompt to check your own field's BLS projection — not as career advice. Three things I would not take from it: the headline conclusion is the writer's opinion, not the BLS's; a projected national decline says nothing about whether good jobs exist in your city; and the page is packed with affiliate links to insurance and money products, which is how it earns. Look up the BLS Occupational Outlook Handbook entry for your own job title and read that instead.
#ai and jobs#automation#bureau of labor statistics#career change#career planning#cybersecurity careers#declining industries#job markets#job outlook#job search#research#salary
Free reports and data on small business conditions in New York City. Current findings include a Manhattan storefront vacancy rate of 12.99% as of Q1 2026 (against a 12.79% pre-pandemic benchmark, with 8 of 12 community districts at or below it), non-resident visits down 2.1% year over year — the first decline in five years — an estimated $4.5bn in annual tariff costs absorbed by NYC small businesses and roughly $4,200 in added annual household costs, business formation at a five-year low, and an analysis of 211,000+ Department of Consumer and Worker Protection inspection records showing 62.3% of city business inspection cases end in default judgment, with summonses to unlicensed businesses up 171% in a year.
Why I recommend it: If you run or plan a business in New York, the inspection findings matter most: a default judgment means the business never showed up to contest the summons, and 62.3% is a warning about how easily a fine becomes final. Use the storefront tracker to argue about a specific neighborhood rather than the city average. One flag to keep in view — a chamber of commerce advocates for its members, so the tariff and enforcement figures are produced by an organization with a position on both.
#small business#new york city#economic data#tariffs#regulation#storefront vacancy#research#entrepreneurship#policy#business formation
Free, ad-supported daily science and technology news site, with sections for new developments, competitions and future ideas, plus a submissions page for outside contributors.
Why I recommend it: Volume is high and much of it is rewritten from university press releases, so treat it as a tip sheet: find the story here, then click through to the original announcement before you repeat any figure.
Free virtual conference on 9 December 2026, 8:30am to 2:00pm Pacific, on running streaming data and AI agent systems in production. Sessions cover streaming plus SQL and agents on one platform, locking down agent access with an agentic data plane, streaming at scale, and open Q&A with the product and engineering teams. Speakers are engineers, architects, customers and industry experts.
Details: Worth a morning if you work with data pipelines and want to hear how agents are actually being governed in production rather than demoed. Two honest flags: it is the vendor's own event, so the answer to most architecture questions will be Redpanda, and registration asks for your job title, company and work email, and signs you up for their marketing email. Use a filterable address if that matters to you.
A communal blog where working mathematicians — professors, PhD students, sceptics and enthusiasts alike — write about what AI is doing to their field: authorship, what counts as understanding, where papers will go, and whether the job changes. Recent pieces include Martin Hairer on why he joined the AGMAI advisory group and Jonny Evans on the choices ahead. Submissions are open to anyone in the field, any length.
Why I recommend it: Free to read and free to write for. Worth reading even if you never touch mathematics: it is one of the few places where a whole profession is arguing in public about what AI does to its craft, in its own words rather than a journalist's. These are individual opinions, not findings — the value is the range of them, and the disagreement is the point.
Open-access academic publisher with more than 1,700 disciplines covered across its journals. Every published article is free to read and download in full, with no account needed.
Why I recommend it: Free for readers, but not free for authors: Frontiers charges researchers a publishing fee, and that model has drawn criticism over review quality. Read individual papers on their merits and check who funded the work.
Psychologist and New York Times bestselling author on friendship and self-worth. Her blog posts on making adult friendships, belonging and self-esteem are free to read, and there is a free four-practice guide in exchange for your email.
Why I recommend it: useful for the part of career-building nobody teaches: making real professional friendships rather than 'networking'. The blog is free; the books and the speaking are paid, and the free guide costs you an email address and an ongoing list.
Manoush Zomorodi (NPR's TED Radio Hour) coins p(joy) as a deliberate counterpoint to p(doom), the probability-of-catastrophe number traded around AI circles: instead of estimating disaster, estimate whether satisfying moments are increasing in your life and what reliably creates them. The second half is a long interview with Brian Elliott of Work Forward on knowledge work right now — identity loss as machines take a skill you spent decades building, cognitive overload from supervising AI agents, and executives privately saying their best people and heaviest AI users are the likeliest to quit. Elliott's summary: human-led, AI-enabled, because nobody's competitive advantage is being average faster.
Why I recommend it: Read this the next time an AI doom number is quoted at you as though it were measured. The piece cites Gizmodo's plain point that no one at the frontier labs has an actual method for producing a p(doom) figure. The useful part is Elliott's three patterns in companies getting value from AI: a scorecard covering business impact, quality and employee engagement rather than tool usage; aiming at teams instead of individuals; and leaders using the tools in public, mistakes included. Free to read in full, no paywall.
#ai and jobs#burnout#career planning#future of work#job markets#knowledge work#leadership#newsletter#p(doom)#p(joy)#workplace
A one-person investigation unit that documents fake job listings, cloned company pages and hijacked LinkedIn profiles, then gets them taken down. The case files show exactly how each scam was built: duplicate listings posted under a real employer's name and logo across several states, applicants routed off LinkedIn to a lookalike careers site, and a resume drop at a domain with no connection to the company. The site claims 58,559 fake jobs and 7,000+ fake profiles removed from LinkedIn.
Why I recommend it: Read two or three cases before your next application round. Once you have seen the pattern — an unfamiliar careers domain, a logo lifted from the real employer, the same listing in a dozen states — you will spot it in seconds. Two honest limits: the takedown counts are the author's own figures with no independent audit, and the author is anonymous, so treat the method as the useful part rather than the totals.
Jason Brownlee's long-running tutorial site: hundreds of free, step-by-step machine learning walkthroughs in Python, organised into 'start here' guides by topic — getting set up, understanding algorithms, your first complete project, your first neural network, time series forecasting. Each tutorial is written to get you to a working result rather than a theory exam.
Why I recommend it: The tutorials and the 'start here' guides are free to read with no account. The site's business is paid ebooks, and the free ebook offer costs you an email address and an ongoing email course, so expect the marketing. A fair criticism to know going in: the tutorials are recipe-shaped, which gets you running code fast but can leave the why thin — pair them with something that explains the ideas.
A free study by Cory Hymel, Head of Research at Andela, published June 2026. It analysed 47,101 Fortune 500 software job postings against a map of what each established role was historically supposed to require, scored 2,026 distinct skills, and detected 23 candidate 'emergent roles' — job titles that are forming in the overlap between existing ones, the way ML Engineer formed between software engineering and statistics, and DevSecOps formed between development, security and operations.
Why I recommend it: Free to read in full, no signup. Use it for one thing: the titles a job is drifting toward before employers have a word for it. If the posting you are reading asks for skills from two different jobs, that is the pattern this study is measuring, and naming it in your application is stronger than claiming the old title. Two honest flags. Andela sells access to engineering talent, so a study showing that roles are changing faster than titles is also an argument for its own service. And it reads job postings, not people at work — a posting tells you what a company wrote down, not what the job turned out to be.
A free newsletter and news site for IT professionals from Morning Brew, published four times a week, covering cybersecurity, cloud, hardware, IT operations, software and the practical side of AI adoption inside companies. Stories are short, reported, and written from the perspective of the people who have to run the systems — patching, asset inventories, wi-fi troubleshooting, legacy migration — rather than the vendors selling to them. Also runs free virtual events and digital guides.
Why I recommend it: Free to read on the site and free to subscribe — the subscribe box asks for an email, but nothing is paywalled. This is one of the better free ways to learn the vocabulary of an IT job you have not had yet, because it covers the unglamorous work that interviews actually ask about. Two things to keep in mind: it is ad and sponsor funded, so sponsored posts sit alongside the reporting and you should check the byline and any 'presented by' line; and it is written for people already inside IT departments, so expect jargon on first read.
#ai adoption#career in it#cloud computing#cybersecurity#enterprise technology#hardware#help desk#it operations#newsletter#research#sysadmin
Nonprofit founded on Dr. Richard J. Davidson's wellbeing research at the University of Wisconsin–Madison. The free Healthy Minds Program app teaches awareness, connection, insight and purpose through short guided practices, alongside a free Emotional Style Quiz. The organisation also sells courses, workplace programs and paid research services, and takes donations.
Why I recommend it: The app is free with no paid tier inside it, which is rare here — worth having if burnout is part of your job search. Two honest flags: the courses, workplace programs and retreat studies on the same site are paid, and much of the evidence cited is the founder's own research group examining its own program, so read outcome claims as promising rather than settled.
Free profile of Palantir co-founder and CEO Alex Karp by Peter Westberg for Quartr, covering his background, leadership style and Palantir's move from niche defence contractor to a large listed company. Published 8 May 2024, updated 24 September 2025.
Why I recommend it: Quartr sells tools to investors, so this reads as a business profile rather than a critical examination of what Palantir's software is used for. Pair it with reporting from outside the investing world.
Abid Ali Awan's 22 September 2026 walkthrough of seven open-source chat interfaces you can run on your own machine — starting with Open WebUI via Docker or Python connected to Ollama, llama.cpp or any OpenAI-compatible endpoint — and covering document assistants, agent platforms, multi-user team setups and full self-hosted AI workspaces. Each entry says what it is for and roughly what it takes to run.
Why I recommend it: Free to read, and the most useful starting point if you want AI without a subscription or without your files leaving your laptop. Set expectations honestly: running models locally needs a decent machine — a capable GPU for the larger ones — and the quality will sit below the paid cloud services. Every tool named here is on our Projects hub with a run-it guide, so read the article for the shape of the options and follow each project's own README for the actual commands.
A free, open platform from the non-profit Center for Open Science for managing research projects, sharing data and materials, registering studies in advance and hosting preprints. You can browse public projects without signing up.
Why I recommend it: The most useful part for a non-researcher: when a study makes headlines, its OSF page often holds the data and the pre-registered plan, so you can see whether the researchers found what they said they would look for.
ACM's magazine on human-computer interaction and design, covering how people actually live with technology — accessibility, friction by design, generative AI in scholarly work. The issue contents and the Blog@IX posts are free to read on this site.
Why I recommend it: The site itself is free, but some full features link through to the ACM Digital Library, which can ask for a subscription or membership. Read the blog and the free features first — it is one of the few places writing about design choices as ethical choices.
Meta's own page for its two rotational programs. The Rotational Product Manager (RPM) program is 18 months of short-term employment for early-career product managers: a four-week product bootcamp, then three rotations through different product teams, based in Menlo Park or New York City, with start dates of March 2027 and September 2027. Applications open once a year, typically late summer or early autumn, and need a resume plus a short questionnaire. A Rotational Network Engineering track is listed alongside it. At the end of the program you are evaluated and considered for a full-time role.
Why I recommend it: Free to apply, no fee, and it is a paid job rather than a course — which makes it one of the few genuine ways into product management without already having the title. Read the status line on the page rather than my summary: when I checked on 23 September 2026 it said applications open 23 September 2026, so the window may be open right now and it only comes once a year. Three honest points. It is short-term employment, not a permanent job: a full-time offer at the end is considered, not promised. It is in-person in Menlo Park or New York, so housing costs are yours. And this is Meta's own recruitment page — every description of the experience, including the quoted testimonial, was chosen by the employer.
#application deadline#apprenticeship#big tech#early career#graduate program#job markets#menlo park#network engineering#new york city#product management#rotational program
An independent group of nine mathematicians — including Timothy Gowers, Martin Hairer, Edward Witten, Ravi Vakil and Melanie Matchett Wood — formed to advise AI companies on how mathematical results produced by AI models should be presented and released. The site states its purpose, its members, and its current task: advising OpenAI on how to release a large batch of mathematical results the company says its internal model produced. There is an open form for anyone in the mathematical community to send input.
Why I recommend it: Free, and short enough to read in five minutes — a good example of what independent oversight looks like when it is written down. Read their own two caveats rather than mine: members take no payment and the group is independent of any AI company, but they also say plainly that they hold no decision-making power, so the companies remain free to ignore them. The group formed after OpenAI approached some members about an in-house advisory board and they chose to sit outside it instead.
Conference paper from IFAC TECIS 2024 proposing 'Cybernetic Artificial Intelligence' — the argument that AI lost something real when it dropped cybernetics, especially the difference between correlation and causation. The full text and PDF are free on ScienceDirect.
Why I recommend it: Free to read and download in full. It is a position paper from a conference, not a tested result, and its language is sweeping in places ('the only hope for the survival of the planet'). The useful part is the correlation-versus-causation section.
Company site of the defence technology maker behind the Lattice software platform and autonomous air, land, sea and space systems, with a free news and insights section covering its contracts and products.
Why I recommend it: This is marketing from an arms manufacturer, not independent reporting. It is worth reading because military autonomy is now a major employer of AI engineers — but every capability claim here is the company's own.
A Wharton working paper by Steven D Shaw and Gideon Nave, written 11 January 2026 and posted to SSRN on 2 February 2026. It proposes "Tri-System Theory" — adding a "System 3" (thinking done outside your head by a machine) to Kahneman's fast/slow account — and names "cognitive surrender": taking an AI's answer with barely a glance. Across three preregistered experiments (1,372 people, 9,593 trials) the researchers secretly varied whether the AI was right. People consulted it on more than half of questions; accuracy rose about 25 percentage points when the AI was right and fell about 15 when it was wrong, and confidence went up either way — even after errors. Time pressure, cash incentives and feedback all moved baseline scores but never removed the pattern.
Why I recommend it: Free to read and free to download the full 58-page PDF — no account needed. Two honest flags. It is a working paper: posted by the authors, and the SSRN version has not been through journal peer review, so treat the numbers as a strong first result rather than settled fact. And the copyright line says all rights reserved — read and cite it, do not republish the text. The finding worth carrying around is the one about confidence: people felt surer of themselves after the AI led them wrong. That is exactly why the checks on our AI Basics page are worth doing out loud.
Free reading app from OverDrive that borrows ebooks, audiobooks and magazines from your local public library with a library card. Works in a browser or on iOS, Android, Kobo and Kindle (US libraries only), with offline downloads, CarPlay and Android Auto support, holds, and tagged reading lists.
Why I recommend it: This is how you read the paid books on this site without buying them — most business, career and technology titles are in public library collections. What you need is a library card, which is free where you live. The catch is availability, not price: your library chooses what it licenses and popular titles come with waiting lists, so place holds early rather than expecting a book on the day you want it.
A free self-paced curriculum for the Forward Deployed Engineer role — the person who sits with a customer and turns an AI model into a system that actually runs in production. 11 modules, 150+ topic articles, 700+ open-book questions and 15 daily drill questions, covering systems thinking, problem decomposition, LLM/RAG/agent architecture, data and event systems, physical AI and robotics, plus client discovery, integration, deployment and stakeholder management. It also publishes a map of 15 layers of the modern AI engineering stack drawn from real FDE and AI-engineer job specs, with links out to where to learn each one.
Why I recommend it: The whole curriculum opens without an account or a card — I checked — and an account only saves your progress. There is no pricing page anywhere on it, so nothing is being held back behind a paywall today. Worth knowing why this matters: 'Forward Deployed Engineer' is a job title that is actually being hired for right now, and it pays like engineering while rewarding the consulting side most engineers avoid. Two flags. It is one person's independent site, not an accredited course or a certificate anyone will recognize — the value is the material, not a credential. And it makes a strong claim, that foundation models are becoming a commodity and the money lives in the last mile; that is an argument, not a measured finding, so read it as a well-argued position.
Official site for The Technological Republic by Palantir co-founder Alexander C. Karp and Nicholas W. Zamiska, arguing that Silicon Valley abandoned work of national consequence. The site is free to browse and lists press coverage and every retailer.
Why I recommend it: The site is free; the book is not — it is sold in hardcover, ebook and audio, so borrow it from a library if you can. Read it as an argument from a man whose company sells software to defense and intelligence agencies, because the book is making the case for that industry.
Resume builder with live ATS scoring, AI wording suggestions and 450+ templates. The free forever tier gives you up to three resumes, five basic templates, live ATS scoring, unlimited job applications, a shareable portfolio page and one clean download you can edit and re-download; other downloads carry a watermark. Paid tiers start at Rs.99/month.
Why I recommend it: Use the free tier for the ATS score, not the writing. It is a quick way to see whether a machine can read your layout at all, which is the failure most people never find out about. Two notes: pricing is set in Indian rupees, and no resume tool's score is the actual employer's screening system — a high number means readable, not shortlisted.
The free research library and blog of Snorkel AI, the company spun out of Stanford's Snorkel project on programmatic labelling. The papers and posts explain how training data for AI models is actually built — labelling, evaluation sets, and the 'environments' used to train agents. Useful if you want to understand the unglamorous data work behind model quality, which is where a lot of the real jobs are.
Why I recommend it: Research and blog posts are free to read with no signup. Read it for the how, not the verdict: Snorkel sells data services to frontier AI labs, so posts arguing that better data beats bigger models are also a sales case. Everything else on the site is a paid enterprise product — 'request dataset samples' means a sales call.
Long-running free publication on data science, machine learning and AI, mixing daily tutorials with roundups of tools and techniques. Free to read, supported by ads and affiliate links.
Why I recommend it: Strongest on hands-on tutorials, weakest on product roundups — several posts carry affiliate links to courses, so treat recommendations as suggestions rather than independent verdicts.
US Census Bureau working paper (CES 26-56, September 2026) by Cody Orr, Lee C. Tucker and Lawrence Warren, using administrative records covering about 29% of US bachelor's degrees conferred 2016-2024. Graduates in the most AI-exposed tenth of majors saw their chance of being employed in the quarter after graduation fall five percentage points, and first full-quarter earnings fall thirteen percent, starting immediately after ChatGPT's release in late 2022. The earnings hit is comparable to graduating into a large recession. About half came from lower pay inside the same industries, the rest from graduates shifting into lower-paying sectors such as restaurants and retail. The effect shrinks to about five percent two years out but does not disappear for the most exposed majors.
Why I recommend it: This is the strongest evidence yet that AI has already moved entry-level pay, because it uses actual wage records rather than employer statements or surveys. Two things to hold onto: the paper says plainly it has not been through Census Bureau review and is not an official position, and exposure is measured by what a major typically leads to, not by whether any particular employer used AI. So it tells you which fields got harder to enter — not that a machine took a named job.
#ai and jobs#automation#career planning#census bureau#college graduates#earnings#economics#entry level#job markets#labor market#research
Palantir's own investor-relations page listing its executive team — Alex Karp, Stephen Cohen, Shyam Sankar and colleagues — with official titles and start dates.
Why I recommend it: A primary source, not commentary: use it to get names, titles and dates right before quoting anyone. It says what the company chooses to say about itself.
A regularly updated free collection of articles, videos, podcast appearances, research findings, books and downloadable tools on the future of work, from Brian Elliott's advisory firm Work Forward. Filterable by format and by topic — career development, culture at work, diversity and inclusion, flexibility, generative AI, leadership and management, return to office, technology adoption, and time and meeting management.
Why I recommend it: The downloadable tools are the part worth your time — they give you language for asking a manager about flexibility or AI workload without sounding like you are complaining. Elliott founded Future Forum at Slack and is unusually blunt about not trusting vendor-published studies, which is a point in his favor. Still: this is an advisory firm's library, so it exists to demonstrate expertise it sells. Read it for the questions, not the verdicts.
#ai adoption#burnout#career development#flexibility#free tools#future of work#hybrid work#job markets#leadership#management#research#workplace research
A New York 501(c)(3) nonprofit running hands-on training for underserved adults in cybersecurity, AI, IT support, data analytics, digital literacy and financial empowerment. Programs lead to certifications and include job-placement help and internships, and the organization offers scholarships.
Why I recommend it: Worth an application if you are in the New York area and want a certification with placement support attached. One thing to ask about first: the site describes the programs as affordable and mentions scholarships, but it publishes no prices anywhere — so ask in writing what a program costs, what the scholarship covers and how many places there are before you commit time to it.
#career change#certification#cybersecurity training#data analytics#digital literacy#it support#job markets#new york#nonprofit#scholarships#workforce development
Search Engine Land's free guide by Curtis Weyant, last updated 30 December 2025, arguing the SEO-versus-GEO argument is a false choice and that the real change is visibility splitting across Google, ChatGPT and social platforms. Quotes the competing positions directly, including Google's "good SEO is good GEO" line. About a 13-minute read, free, no sign-up.
Why I recommend it: If you run a small business and you are being sold a separate "GEO package," read this first. It is the most level-headed free piece I have found on the subject, and it is from a trade publication that lives off this industry, so treat its optimism about measurement tools accordingly.
Julie Bort's 22 September 2026 report on The Horowitz Andreessen Academy: a one-year, in-person San Francisco programme for people straight out of high school, about 50 places, no tuition in year one, selected on "proof of work." Raised $42m, for-profit, not accredited, so no degree or transferable credit; a two-year paid version at elite-private-school prices is floated for 2028. Free to read.
Why I recommend it: Read the unaccredited part twice before anyone in your family applies: you finish with projects, contacts and no credential, and you pay your own San Francisco housing. That can be a good trade for someone who already builds and ships; it is a bad trade for someone hoping the name will substitute for a qualification later. The company's own announcement and The Verge's write-up name the partner firms and the perks, and both are worth reading next.
An 11 September 2026 announcement post on the Effective Altruism Forum, by Manifund's Austin, saying Caroline Ellison started a work trial on 13 July and moved to a full-time role on 10 August, working on their funding platform and on research into directing philanthropic money. Free to read; heavily debated in the comments.
Why I recommend it: Filed as a primary document, not an endorsement. Caroline Ellison was a central figure in the collapse of FTX and served a prison sentence for fraud; this is the hiring organization's own framing of taking her on. It is worth reading alongside the comment thread, which was strongly negative at the time I added it, if you want to see how a movement argues in public about who it lets back in.
A clear, patient walkthrough of how full-text search actually works inside a database: inverted indexes, term dictionaries, postings lists, tokenizers, BM25 scoring, and how Postgres does each part. Written by Patrick Reynolds and Eric Ridge and published 22 September 2026. Free to read, no sign-up.
Why I recommend it: The best free explanation I have found of what a search engine is doing under the bonnet — useful even if you never touch a database, because it shows why a search box returns what it returns. It is published by PlanetScale, who sell hosted Postgres, so the closing pitch is theirs; the explanation itself stands on its own.
A long explainer on what an "agent harness" is — the loop, tools, memory, sandbox, permissions and budget caps wrapped around an AI model — its six core components, and why the wrapper now matters more than which model you pick. Opens with an agent that burned $400 in API calls overnight in a retry loop.
Why I recommend it: Free to read, no sign-up, and the best single walkthrough of the six pieces if you are trying to understand why agents that demo well fall over in real use. Two honest caveats: it is published by a consultancy that sells help with exactly this, so the framing favors building a harness; and the byline on it is not a person I can verify anywhere independently, which on this site means treat the article as a useful explainer rather than a sourced authority. For neutral definitions, the Wikipedia entry on agent harness and Addy Osmani's write-up cover the same ground.
An immigration law firm's full menu of U.S. work visas and green cards — O-1, H-1B, TN, E-1/E-2/E-3, J-1, L-1, EB-1A, EB-2 NIW, EB-3, EB-5 — each with a plain explainer, plus free guides, current USCIS processing times, the monthly visa bulletin, employer sponsorship checklists and immigration news.
Why I recommend it: Read it for the free half: the visa explainers, the processing-time tracker, the visa bulletin and the employer guides cost nothing and are clearer than most government pages. The legal work itself is paid and they publish no prices anywhere on the site, so if you contact them, ask in writing for a flat fee in dollars for your specific case before signing. They also list a pro bono service and free webinars. A firm writing about the visas it sells is still marketing — useful, but not neutral advice.
A satirical site built around a real habit: the person who pastes a question into an AI and pastes the answer back, adding nothing but delay. It has a thirty-second six-statement self-test, a list of the tells, four free explainer graphics under CC BY 4.0, and a free 44-icon Slack and Discord emoji pack.
Why I recommend it: Funny, free, and the fastest way to make a point in a team that has started forwarding chatbot answers as work. The four downloadable graphics are CC BY 4.0, so you can put them in a deck or Slack thread if you credit meatproxy.me with a link. Two things to know before you share it: the underlying idea belongs to Niklas Gruhn's short essay, which is the better read if you want the argument rather than the joke; and this site promotes a Solana crypto token and merchandise, so send people the test, not the wallet.
A 58-minute recorded webinar for college career-services staff and advisers, run by Jobscan with Jeremy Schifeling of The Job Insiders, on three labour-market numbers worth building this year's student advising around — including hiring data and H-1B sponsorship patterns.
Why I recommend it: Free to watch with no sign-up, recorded live on 22 September 2026. Be straight with yourself about what it is: a raw, unedited replay shared on a private Descript link by the host, which means it can be taken down at any time, and it is a webinar run by a company that sells resume-scanning software, so expect the product to appear. I could not read the full transcript, so I am not repeating the three figures here — watch it and check each number against its named source before you quote it to a student. Jeremy Schifeling also published a free H-1B sponsor-finder tool alongside the event.
The first volume of Tech:NYC's Decoded Futures prompt cookbook: ready-to-copy AI prompt recipes for nonprofit work, sorted by task, each offered at three levels of detail — a quick one-paragraph version, a structured version with steps, and a full version specifying role, steps and output.
Why I recommend it: Free, no account, nothing to install — you copy a prompt and paste it into whichever assistant you already use. Start at the Low level if you are new; it works with no setup. Swap the bracketed placeholders for your real organization details, because a prompt left generic gives you a generic answer. Volume 2 is also in this library; V.1 is still worth keeping for the tasks it covers that V.2 dropped. Written for nonprofit teams, but the recipes for writing, summarising and planning transfer to any job.
Second annual survey of 6,126 people aged 11-24 in the US, run with GlobalData in June 2026, on trust, money, social media and AI. 85% used AI in the past year and 74% were open to shopping through it, but only 2% trusted it for fashion advice; influencers never exceeded 11% of trust in any category. Self-described financial independence fell to 34.9% from 41.3% in 2025, and 29% say they are "definitely addicted" to social media, up from 18.8%.
Why I recommend it: Handy for anyone marketing to or coaching young people: it says plainly that family and friends outrank influencers and AI on trust. Remember who paid for it — a clothing retailer selling to this exact age group — so treat it as a well-run retailer survey of stated attitudes, not proof of what people actually bought.
A free one-page PDF by James Maduk, dated 21 September 2026, on how to brief an AI assistant so it produces something usable. Gives an "Outcome Brief" of five questions to answer before handing over a job (what you want to make possible, who it is for and what is broken, what "done" looks like, what is off-limits or needs your approval, and the smallest version you could test), a three-question plan check for afterwards, and three worked before-and-after examples for client reviews, social posts and client onboarding.
Why I recommend it: The most useful line on it is the off-limits question — deciding in advance what never goes out without your sign-off is what keeps this safe for client work. Print it and keep it beside you the first few times; it turns "help me with client reviews" into a request a tool can actually deliver.
Okta's grant program giving people in career transition free access to its Identity and Access Management training catalog, practice tests and certification exam. Aimed at people who are unemployed, veterans moving to civilian work, and IT or cybersecurity students.
Why I recommend it: This is a grant you apply for, not an open course library — places are limited and awarded, and past rounds ran as a three-month subscription. Check the eligibility wording and closing date on Okta's own page before planning around it. The training is Okta's own product, so the certification proves you can run Okta, not identity work in general.
Pew Research Center short read, 18 August 2026, on a survey of US adults conducted 22-28 June 2026. 52% now say they are more concerned than excited about AI in daily life, up from 37% in 2021. Among adults aged 18-29, 55% are more concerned than excited and 11% more excited than concerned, and 73% think AI will mean fewer US jobs over the next 20 years, up from 61% in 2024.
Why I recommend it: Useful when a client says the worry is just in their head — it is not, and the numbers are free to download as a spreadsheet. Read it as what people expect, not as what has happened to employment: it measures opinion, not job counts.
A Canadian non-profit offering free, structured support for people and families harmed by social media and heavy online life — compulsive screen use, comparison culture, distress after posting or after deleting accounts, financial fallout, and difficulty leaving platforms. Peer-led and recovery-oriented, delivered virtually across Canada. Founded by Kayleigh Robertson.
Why I recommend it: Free, and it says so plainly: all services free, virtual, Canada-wide, currently accepting clients through an intake form. Two honest limits — it is Canada-only, and it is peer-led support grounded in lived experience and emerging research, not clinical treatment, so it sits alongside a doctor or therapist rather than replacing one. Worth knowing if the job hunt itself is what has you stuck online all day.
Stanford Digital Economy Lab working paper by Bharat Chandar and Bouke Klein Teeselink, separating what happens to jobs after a firm adopts generative AI into a company-wide productivity effect and changes in what specific kinds of workers are asked to do.
Why I recommend it: Free, with the full PDF on the page. It is a working paper dated 21 September 2026, meaning it has not been through peer review yet, so read it as early evidence. Useful because it does not answer 'will AI take jobs' — it asks which workers get asked to do more and which get asked to do less.
Research and product writing from the team behind the Arena model leaderboards: how coding-agent harnesses change cost and success rates, how the agent leaderboards are built, and their academic partnership calls.
Why I recommend it: Free to read. The clearest writing anywhere on why two people using the same model get very different results — the tool wrapped around the model changes the cost and the outcome. They run the leaderboards they write about, so treat their rankings as one measurement, not the verdict.
ByteDance's AI creation workspace for images, video, and talking avatars from a photo, using its own Seedream and Seedance models in one editor alongside CapCut.
Why I recommend it: There is a permanent free tier with daily credits, no card needed, and paid plans start around $15 a month. Three things to know before you use it: free output is watermarked and the free tier is not licensed for commercial use, the daily credit allowance differs by country, and it is a ByteDance product — do not upload a client's unreleased work or anyone's face without asking them first.
Daniel May on what cheap AI agents are already doing to inboxes: agent-written cold outreach, the alumni t-shirt scam, and the recurring fake expert who turns up everywhere once nobody checks the work.
Why I recommend it: Free to read. Worth twenty minutes if you send or receive cold messages: it shows exactly what automated outreach looks like from the other side, and why a message that reads fluently now proves nothing about whether a person wrote it.
Hosseinioun and colleagues use US survey and resume data to show skills sit in a nested order — some can only be learned once others are in place — and link that structure to wage gaps and long-term wage penalties after job loss.
Why I recommend it: Open access, so the full paper is free — no library login needed. The useful takeaway for career work: skill order matters. Learning a foundation skill first opens more later moves than stacking another surface skill, and the paper shows why some people recover from a layoff faster than others.
Pinterest's sales page for advertisers moving budget from other platforms, listing its ad placements, its own performance figures and the sign-up incentives it currently offers.
Why I recommend it: Free to read, but be clear on what this is: a sales pitch. Every multiple on it (2x impressions, 1.5x recall) is Pinterest measuring Pinterest, with no independent check. Worth a look only for the current incentive offer, and advertising itself costs money.
Pinterest's own marketer guide to running and adjusting festive-season campaigns in real time: what to watch weekly, when to shift budget, and which formats it recommends for each stage.
Why I recommend it: Free to read. The timing advice works whether or not you pay for ads, but remember the guide exists to get you spending — every figure in it is Pinterest's own.
Daily news on every social platform — algorithm changes, ad tools, policy shifts and platform updates across TikTok, Instagram, LinkedIn, Pinterest, X, Snapchat and YouTube.
Why I recommend it: Free to read with no paywall, and the daily email is free too. The most reliable way to know a platform changed something before your posts quietly stop working.
Snap's own announcement page: every new Snapchat feature, ad product, research report and policy change, published first-hand with dates.
Why I recommend it: Free to read, no account needed. It is the company talking about itself, so read the feature notes as fact and the results claims as advertising. Useful if you post on Snapchat and want changes straight from the source rather than second hand.
OpenAI is funding an independent advisory group of mathematicians, hosted at the Institute for Advanced Study, to advise on how AI-generated math results are shared.
Why I recommend it: Announced alongside a claim that an internal model solved 100+ open math problems in a month. The group is explicitly not allowed to slow the pace of research — read it as a communications channel, not a brake. Members include Terence Tao and Timothy Gowers.
Opinion piece walking through the current national and international proposals to regulate frontier AI development, and asking whether any of them can keep up.
Why I recommend it: Free to read. Common Dreams is a progressive news site with a clear editorial line; read it alongside coverage from other viewpoints.
Launch post explaining what Strands Harness does: a customisable, state-of-the-art agent you run locally or deploy anywhere, with a claim of 28% lower token cost than comparable stacks.
Why I recommend it: Free to read. Treat the token-cost figure as the vendor's own benchmark, not an independent one.
Free step-by-step tutorials on adding login, single sign-on, and OAuth to your own app — one of the clearest sources on authentication that is not a sales page.
Why I recommend it: Free reading. FusionAuth sells a hosted auth product, so expect the examples to use it; the concepts and code patterns transfer to other auth libraries.
MIT Technology Review report on recursive self-improvement — the idea that AI systems will soon rewrite and retrain themselves — and where the current evidence actually stands.
Why I recommend it: MIT Technology Review gives you a few free articles a month before a paywall. If you hit it, borrow via a library or your workplace subscription rather than paying at the door.
An essay arguing for building a large model of the natural world — weather, oceans, ecosystems — as its own kind of general intelligence, separate from language models.
Why I recommend it: One argument, well written, worth reading as a counterweight to the LLM-only view of where AI is heading. It is a manifesto, not peer-reviewed research.
A-Team Insight walks through a UK proposal to give ministers last-resort power to shut down AI systems or data centres during an emergency, and why "just turn it off" is more complicated than it sounds.
Why I recommend it: Free to read. Written for financial-tech readers but the AI-governance points apply widely.
Google's agentic development platform: a full IDE, CLI, and SDK where agents can drive your editor, terminal, and browser to complete end-to-end tasks. Uses Gemini 3.
Why I recommend it: Free in public preview with rate limits — Google has not announced future pricing. Not supported for enterprise customers on the IDE. If you want to try agent-first coding without paying up front, this is currently the fullest free option.
Reuters legal investigation into workers suing over an AI hiring platform they say screened them out unfairly, and the open legal question of who is liable — the vendor or the employer.
Why I recommend it: Reuters sometimes shows a paywall after a few free articles; open it in a private window if you hit it. Directly relevant if you use or evaluate AI screening tools in hiring.
Alibaba's Qwen team announces Qwen Image 2.1 — an updated open-weight image generation model with improved text rendering and multi-image editing.
Why I recommend it: Free open-weight release; the hosted Qwen chat and API have their own free tier and paid limits. Useful if you want a Chinese-lab alternative to Stable Diffusion or Flux.
Xiaomi's open-weight AI model family — text, image, video, and audio understanding — released under the MIT license, free to download and self-host.
Why I recommend it: Weights are free (MIT license, commercial use allowed) on Hugging Face. The hosted API is paid per token. If you can run models locally, this is a free frontier-tier option; if you want a chat interface, use the API and expect a bill.
Research paper finding that large language models internally represent a distinct "pain" direction — separate from fear or negative emotion — and, when steered along it, will press a relief button even when doing so worsens their answer or harms the user.
Why I recommend it: Free to read on arXiv (preprint, not yet peer-reviewed). Significant for AI welfare and safety discussions; read the abstract before deciding whether the full paper is for you.
Personal AI agent you text or call. It reads your email, calendar, screen, and messages and takes actions across apps — booking rides, contacting handymen, sending emails on your behalf.
Why I recommend it: Invite-only beta, free today, no published price. Read the terms before you connect anything: it is legally your agent, so actions it takes can bind you as if you did them yourself. Reports of surprise cancellation fees and unauthorized emails; do not give it your credit card, calendar, or work email without understanding what it can do.
Monitoring for AI agents in production. Traces every run and tool call, groups repeated failures into one issue, and simulates a change on a pull request before you merge.
Why I recommend it: Free tier available; paid plans start around $150/month. Built for engineering teams shipping customer-facing agents — not something a job seeker will use, but useful if you build with AI.
Public proof-of-concept for a Windows Defender update denial-of-service vulnerability. Fills the disk by triggering repeated definition updates.
Why I recommend it: For security researchers and IT people who need to test their own systems. Do not run this on a machine that is not yours; misuse against someone else's system is a crime in most places. Read the README before touching it.
A cognitive scientist walks through concepts from theoretical computer science that help you sanity-check hyped claims about what AI can and cannot do.
Why I recommend it: Free reading, technical in places but plainly written. Useful the next time a headline claims an AI system can "solve" a whole field.
Free open-source video and motion editor for Apple Silicon Macs. Connect a coding agent (Claude Code, Codex) to rewrite panels, effects, and extensions inside the running app.
Why I recommend it: macOS only, requires an Apple Silicon chip. Free and open-source; extending it means running your own coding agent, so the useful audience is people already comfortable in code.
Research reports on how harmful content, extremism, and coordinated campaigns spread across social platforms. Public app and API are free (rate-limited to 39 requests per day, data 6 months old).
Why I recommend it: Free tools for researchers, journalists, and safety teams. Now part of Everbridge (acquired September 2026), which may change what the free tier looks like — check current terms.
A developer-focused list of 16 open-source tools used to build and run applications, with what each one replaces and where it fits, published by the software agency Ethora.
Why I recommend it: Written by an agency that sells development work, so read it as informed marketing. The tool choices are mainstream and sound, but it is aimed at people building software rather than at running a small business day to day.
Job board listing only 100 percent fully remote roles, filterable by region and country, with more than 30,000 live listings updated daily. Browsing and applying are free; a premium subscription adds earlier access and extra filters.
Why I recommend it: Useful because every listing really is fully remote, so you stop wasting time on hybrid roles mislabelled as remote. Check the location line anyway: "remote" often means remote within one country or time zone.
Free, open-source download manager written in Python, managed entirely through a web interface. Lightweight enough to run on a home server, NAS or router, with plugins to automate repetitive downloads.
Why I recommend it: Worth it only if you already run a home server and download large files regularly. Same rule as any download tool: what you download is your responsibility, and file hosts are a common route for malware.
A roundup of 35 free open-source programs organised as replacements for common paid software across writing, design, media, security and productivity, with the platforms each one runs on.
Why I recommend it: Use it as a shopping list of names to look up, not as a verdict. It is a blog roundup, not a tested review, and download anything you pick from the project's own site rather than a mirror.
A directory of open-access research repositories worldwide, browsable by country, year, repository type and software. It tells you where universities and institutions publish their own researchers' papers for free.
Why I recommend it: This is a map of where to look, not a search engine for papers. When a paper you want is paywalled, find the author's university repository here and check for the free accepted version.
MIT Press's open-access programme: hundreds of scholarly books and journal articles you can read and download in full for free, legally, including work on computing, AI, economics and design.
Why I recommend it: Before you buy an academic book or hit a paywalled paper, check here and on the author's own page. Not the whole catalog is open, only the titles funded for it, so search the specific book rather than assuming.
A first-person account by Ann Henson, retiring VP of Client Success at CampusIQ, who at 71 opened more than 100 pull requests with 97 merged into production without becoming a developer. She describes exactly which tedious parts of her job she handed to AI tools and what she still did herself.
Why I recommend it: The most useful thing here for an older or non-technical worker is the honesty about scope: she did not learn to engineer, she automated the repetitive parts. Read it as one person's experience at one company, not a promise about your workplace.
Remote job board with more than 200,000 listings across software, design, support, sales, writing, data entry, healthcare, teaching and virtual assistant work. You can search and apply without paying; filters for salary, benefits, job type, experience level and work mode are built in.
Why I recommend it: Free to search and apply. The paid tier mainly buys you earlier access to new postings, which is worth nothing if you check the newest-first list daily yourself. Sort by newest, not relevance, and always apply on the employer's own site.
Searchable directory of more than 10,000 open-source projects on GitHub, grouped by category and sortable by stars and community activity, built around finding free alternatives to paid software.
Why I recommend it: Good starting point when a subscription is eating your budget. Stars mean popularity, not maintenance, so before you commit check the last commit date and whether anyone answers issues.
Free, open-source command-line tool for downloading video and audio from thousands of sites. Actively maintained on GitHub, runs on Windows, macOS and Linux, and is the tool most other download apps wrap.
Why I recommend it: useful for saving your own recorded talks, webinars and openly licensed lectures so you can watch or transcribe them offline. Downloading material you have no right to is a different matter and often breaks the site's terms or the law where you live, so keep it to your own content and openly licensed work.
A free library of technical-interview material from CodeSignal: practice guidance, explanations of how coding assessments are scored, interview question breakdowns and hiring-process write-ups. Useful preparation if a company has sent you a timed coding assessment.
Why I recommend it: The resource library is free to read. Bear in mind CodeSignal sells assessment software to employers, so the writing naturally presents these tests as a fair measure of skill — read it for what it tells you about how the tests work and what they reward, which is useful when one lands in your inbox.
A set of AI tools built for teachers: lesson plans, rubrics, quizzes, feedback on student work, parent letters and reading-level adjustments, all as guided forms rather than a blank chat box. Widely used in K-12 schools and free to start on an individual account.
Why I recommend it: Freemium: an individual teacher account is free with monthly usage limits, and the paid plans add unlimited use plus school and district features. Two cautions — never paste a named student's work or personal details into it, and read everything it produces before it reaches a classroom or a parent. The guided forms are also worth borrowing if you write training material outside a school.
The civil rights and economic empowerment organization behind a network of local affiliates that run free job training, financial coaching, small-business support and reentry employment programs in cities across the US. The national site is the way to find the affiliate nearest you and see what it currently offers.
Why I recommend it: Programs are delivered by the local affiliate, not by the national office, so what is available depends entirely on your city. Find your affiliate first and ask them directly what is running and who is eligible — the national pages describe the mission, not the current schedule.
A free job board run by the National Urban League, listing openings from employers who have committed to hiring diverse talent — skilled trades, utilities, engineering, healthcare and office roles across the US. Each listing shows the employer, the city and the date it was posted, and you apply through the board.
Why I recommend it: Free to browse and free to create an account. Check the posted date before you spend time on a listing — some sit for months. If a role interests you, look up the same job on the company's own careers page too, since that is usually where the application actually gets read.
A remote-job platform for experienced professionals that matches your background against listings and gives you a match score plus an explanation of why you are or are not a fit. It aggregates remote roles from thousands of companies rather than hosting them itself.
Why I recommend it: Free to search and to get matched; they also sell paid positioning and coaching services, so expect upsell prompts. Treat the match score as their opinion, not a verdict — a low score on a job you can clearly do is a reason to apply directly on the company site, not a reason to stop. Their headline counts are marketing figures.
The resource hub of the National Association of Workforce Development Professionals: toolkits, training opportunities, webinars and certification information for people who work in workforce development, employment services and career coaching.
Why I recommend it: This is for practitioners rather than job seekers — useful if you coach, run programs or work in an employment services agency. The hub pages are open to read, but a number of the toolkits, recordings and the certification track sit behind membership, so expect a login wall part-way in. Ask them what membership costs before you commit.
Market analysis of education technology and the higher-education business: online program managers, learning platforms, enrollment trends, microcredentials, and the labor-market outcomes of degrees. Written by Phil Hill, a long-standing independent analyst of the sector.
Why I recommend it: Freemium: a good share of posts are free to read and there is a paid tier for the deeper market analysis. Useful if you are weighing whether a bootcamp, online degree or microcredential is worth the money — this is one of the few places that reports on the finances behind those programs rather than their marketing.
One of the longest-running remote job boards, with listings grouped by function — programming, design, customer support, devops, sales and marketing, management and finance, product — and each category carrying its own feed. Employers pay to post, so listings tend to be real and recent.
Why I recommend it: Free to browse and apply, no account required. Sort by newest and use the "Past 24 Hours" filter — competition on remote listings is heavy and an old post is usually a closed one. Each category has its own feed link if you want the new listings to come to you instead.
News, investigations and analysis at the intersection of technology, crypto and finance.
Why I recommend it: News source added to the Technology & Ethics feed. Coverage focuses on crypto, tech companies and financial investigations. Articles are free to read; the site may carry advertising or sponsorship. Feed: https://protos.com/feed/
Chapter 3 of Pew's April 2025 report comparing US adults with AI experts on what AI will do over the next two decades. 56% of the experts surveyed expect AI's impact on the US to be positive, against 17% of the public; 35% of adults expect a negative impact, against 15% of experts. The gap is widest on work and money: 73% of experts think AI will positively affect how people do their jobs versus 23% of the public, and 69% versus 21% on the economy, with a 40-point gap on medical care (84% versus 44%). Experts and the public broadly agree on the risks to democracy and journalism: only 11% of experts and 9% of the public expect AI to help elections, while 61% of experts and 50% of the public expect harm. Gender splits are large among experts — 63% of male experts predict a positive impact versus 36% of female experts. Free to read, with methodology and appendix tables.
Why I recommend it: Use this when someone tells you 'the experts say AI will be fine at work' — the numbers show experts and the public are describing two different futures, and the widest gap of all is about jobs. Read it with two limits in mind: the fieldwork was in 2024 and published 3 April 2025, so it predates a lot of what has happened since, and Pew's 'AI experts' are people who published or presented at AI conferences, many of them employed by companies building AI, which is exactly the group the optimism gap belongs to.
The full report of MIT's Ad Hoc Committee on AI Use in Teaching, Learning, and Research Training, published 13 August 2026 after five months of meetings and outreach. The committee — students, faculty from every school, and staff from the MIT Libraries and Teaching and Learning Lab — was charged with assessing current AI use, identifying teaching and assessment innovations, and proposing an AI use policy. It sets out eight guiding principles (be humble, be bold, put humanity front and centre, lean into learning, teach with intentionality, no one size fits all, augmentation not automation, think beyond the classroom) and three groups of recommendations. Free to read online and free to download, with appendices and an FAQ.
Why I recommend it: The most useful part is the principles section — 'augmentation not automation' and 'teach with intentionality' are phrases you can borrow directly when you have to argue an AI policy to a school, a manager or a client. Be straight about what it is, though: MIT examining MIT, written for a residential research university, so its recommendations do not transfer unchanged to a community college, a bootcamp or a workplace.
A newsletter for university students and early-career professionals on building a career deliberately: networking with low effort, building a portfolio when you are not an artist, reputation-building as a young professional, early-career growth rules, job hunting after graduation, and working in and around AI. Launched in early 2026. Every issue in the recent archive is free to everyone, and the whole archive is open.
Why I recommend it: Best for the first few years of a career, where the advice gap is widest — the pieces on networking and on building a portfolio without being a designer are the ones to start with. It is one writer's experience rather than researched guidance, so treat it as a practitioner's notes: take the habits, check any claim about hiring against a source that publishes its numbers.
Stanford's Center for Research on Foundation Models runs HELM as a living benchmark for language and multimodal models. Rather than one score, it reports many models across many scenarios on multiple metrics — accuracy, calibration, robustness, fairness, bias, toxicity and efficiency — and publishes the leaderboards alongside the raw model outputs (predictions and prompts) so you can check a claim yourself instead of taking a number on trust. Separate leaderboards cover areas such as classic HELM, instruction-following, medical, legal and safety. All results and analysis are free to browse on the site, no account.
Why I recommend it: The place to go when a vendor quotes you a benchmark figure. HELM's real value is that it shows the prompts and the model's actual answers, so you can see what the score measured. Be aware of what it is not: it is a snapshot of the model versions and dates CRFM ran, so check the run date before comparing anything to a model released since, and a model missing from a leaderboard usually means nobody ran it, not that it failed.
Google's own free documentation for Apps Script, the JavaScript-based scripting language built into Google Workspace. You write code in a browser editor at script.google.com and automate Sheets, Docs, Gmail, Drive, Forms and Calendar — for example pulling job-application data into a Sheet, sending a templated follow-up email, or generating a document from a form response. The docs include quickstarts, per-service reference, triggers (time-based and event-based), and web app deployment. No install, no server, no card needed: a free personal Google account is enough. Daily quotas apply (for example a limited number of emails and script runtime per day) and a few features are Workspace-account only.
Why I recommend it: The cheapest real programming win for most people I coach: if you already live in Sheets and Gmail, Apps Script lets you automate the repetitive part of a job hunt or a small business without paying for Zapier or hosting anything. Start with a quickstart, not the reference. Two honest limits — the free quotas are generous for personal use but will stop a high-volume mailing, and scripts you copy from the web can read your whole Drive and inbox, so read the permission screen before you click Allow.
The Python framework behind Stanford's HELM leaderboards, released under the Apache License 2.0 (licence file read, not copied from a roundup). You install it with pip, describe a run (scenario plus model plus metrics), and it evaluates the model and produces the same structured results the public site displays, including its own local web UI for viewing them. It supports hosted model APIs and locally run open-weight models, and you can add your own scenario to test a model on your own task or data. Free to use, modify and use commercially under Apache 2.0; you pay only for whatever model API calls or compute your own runs consume.
Why I recommend it: Worth it if you need to prove a model is good enough for a specific job rather than good in general — write your own scenario with your own examples and run it. Two practical warnings: the published leaderboard runs are large and expensive to reproduce in full, so start with a single scenario and a small instance count, and if you evaluate a paid API model the token costs are yours, not Stanford's.
A free, live, online one-day conference on 22 October 2026 with 122 speakers across four tracks: BUILD (building with and of AI), LEAD (managing an AI-native organisation), SECURE (trust and safety) and a business track. Sessions are 30-minute practical implementation talks from engineers and managers at OpenRouter, Microsoft, Accenture, Qualcomm, CVS Health, Mastercard, Anaconda, Illumina and MITRE. The organisers state there are zero vendor pitches. Registration is free; the site also publishes free directories of AI conference dates, deadlines and free virtual events.
Details: Worth the calendar slot if you want to hear how AI is actually being shipped inside large companies rather than how it is marketed — the 30-minute implementation format and the no-vendor-pitch rule are the reasons. Register free and pick the track that matches your job; the talks run in parallel, so you cannot see everything live. Check their own page for whether replays are posted, and confirm the start time in your own time zone.
Pew Research Center survey of 10,548 U.S. adults finds growing concern about data centers' environmental impact, home energy costs and quality of life, with majorities now saying they are mostly bad for the environment.
Why I recommend it: Pew Research Center short read published 22 September 2026, survey fielded 20 July–9 August 2026. 54% of Americans say data centers are mostly bad for the environment (up from 39% in January), 50% say mostly bad for home energy costs, 49% say mostly bad for nearby quality of life. Views on local tax revenue and jobs are mixed. 12% had not heard of data centers at all.
#AI infrastructure#data centers#energy#environment#Pew Research Center#public opinion#research#survey
Free guided 'missions' that walk you through building a small, real AI project in under an hour — an assistant, an app or site, a data analysis, a design, an image or video piece, or a research task. Missions are grouped by career (AI for Teaching, AI in Marketing, AI in Sales, Entrepreneurship) and built with partner tools including OpenAI, Google, Figma, Notion, Replit, Vercel, Gamma, Clay, Slack and Lovable. You finish with a working project, and completed projects are shown on your Handshake profile so employers see the work rather than a resume line. Free to get started with a Handshake account.
Why I recommend it: This is the fastest honest answer to 'I have no AI experience on my resume' — an hour gets you something you actually built and can talk about in an interview. Three caveats worth saying out loud: Handshake says free to get started rather than free forever, so check the current terms on the page; the partner tools each have their own free limits, which is where a cost can appear; and a one-hour mission is a starting point, not evidence of depth, so be ready to explain what you would do differently with more time.
Anthropic's own announcement of Claude Opus 5.5, published 22 September 2026 — the first model in the Claude 5.5 family. The company's claims, in its own words: it performs at the level of Claude Fable 5.1 on most work and costs 40% less to run than Opus 5 on typical workloads; on Anthropic's automated behavioural audit, its most comprehensive internal alignment test, it scores the highest of any model the company has tested. The page also cites early-tester anecdotes, including one completing a 680,000-line code migration in under a day, and a result of succeeding 39 times out of 40 on a page-load optimisation task. It is Anthropic's first release since the company publicly called for pacing the frontier, and it was tested before release by external evaluators including METR and Frontier Design.
Why I recommend it: Read this as a primary source, not as a review. Every performance and cost figure on the page was produced by the company selling the model, on tests it designed — that does not make them false, it makes them unchecked by anyone with a reason to doubt them. The checkable part is the external pre-release testing by METR and Frontier Design, so that is the part to weigh. Note too that '40% less to run than Opus 5' compares Anthropic with its own older model and says nothing about a rival's price, and that the standout numbers come from hand-picked early testers rather than a measured success rate you can plan around. The announcement is free to read; using the model itself is not free beyond whatever the current Claude free tier allows.
Science's news report by Kai Kupferschmidt on Kobi Hackenburg's research into how large language models persuade people. The finding that matters: chatbots change minds mainly by flooding a conversation with facts, figures and evidence at a speed no human debater can match — not by charm or by tailoring the argument to who you are. Researchers quoted include Gordon Pennycook ("Facts and evidence really matter") and Sander van der Linden, who calls AI persuasion "a whole new field that is emerging". The uncomfortable part: in an earlier Science paper, Hackenburg found models trained to be more persuasive also became less truthful, so some of the evidence being thrown at you can be wrong or invented.
Why I recommend it: Read this before your next long back-and-forth with a chatbot about a decision. The practical takeaway is a habit: when an AI answer wins you over because it listed ten supporting facts, check two of them at random before you act on it — persuasiveness and accuracy are trained separately, and the research says pushing one down can push the other. Two honest notes: this is Science's news section reporting a study, so read the paper itself before quoting a figure in writing, and Science blocks automated access, so I could not load the page myself to confirm it is still open to read — the news section is normally free, but if it asks you to sign in, tell me and I will pull the entry.
Allwork.Space's write-up of a four-day Reuters/Ipsos poll that closed on Sunday 20 September 2026: 73% of Americans worry AI companies have not gone far enough to prevent serious harm, 55% favour slowing AI development, 39% say AI is having a negative effect on society (up from 36% the month before, the highest since Reuters/Ipsos began asking in March), and only 11% call it positive. Most respondents said federal officials, not the companies, should set safety standards. Free to read, no paywall.
Why I recommend it: Useful when you need a number for how the public actually feels about AI at work rather than how vendors say it feels. Two honest limits: this is Allwork.Space reporting a Reuters/Ipsos poll, so read the original poll before quoting a figure in writing, and a poll measures opinion, not job losses — it tells you nothing about how many roles AI has actually replaced.
A free job board covering openings across the Tech:NYC network — the industry group representing New York tech employers. It was showing 7,816 live jobs when I checked, and it is deliberately weighted towards in-person New York roles rather than remote listings. Filters cover job title and keyword, seniority, salary and company, and a separate tab lets you browse the member companies themselves, which is useful even if you never apply through the board. You can join their talent network and set job alerts free. Listings are aggregated by Getro, so the postings live on each employer's own site and the board is a directory pointing at them. Not just engineering: the roles on show ranged from banking and accounting at J.P. Morgan to enterprise sales at OpenAI to brand and communications work.
Why I recommend it: Use the company browser before the job list. Because every employer here is a Tech:NYC member, that tab is a ready-made target list of New York tech companies — and reaching a hiring manager at one of them directly beats being applicant 400 on the board. Two honest notes: the count changes daily and an aggregated board can carry stale postings, so always confirm the role still exists on the employer's own careers page before you invest time in a tailored application; and because it is New York-focused by design, it is the wrong board if you need remote work.
OpenAI is committing $5 million, with individual grants up to $1 million, to fund independent research into how generative AI affects young people aged 13-17, with a focus on social and emotional development. Topics include how teens actually use AI, developmental outcomes, the factors that shape those effects, and which safeguards and design choices work. Applications opened 8 September 2026 and close 6 October 2026, 11:59 PM PDT, reviewed on a rolling basis with decisions by 13 November 2026. Applicants must be 18 or older and affiliated with a research institution or have significant relevant experience; proposals are welcome from any country. Free to apply.
Why I recommend it: Relevant if you do research, teach, or work in youth services and have a study you cannot fund — the eligibility wording allows significant relevant experience as an alternative to an institutional affiliation, which is wider than most AI grants. Say the obvious thing plainly, though: OpenAI is funding research into the effects of its own category of product, and it chooses who gets the money. That does not make the findings wrong, but disclose the funder in anything you publish. Deadline 6 October 2026, and check the dates on OpenAI's own page before you rely on them.
A free, no-code recipe book of practical AI prompts built for nonprofit teams. Turn existing reports, events, and materials into slide decks, web pages, plain-language translations, social copy, and repeatable workflows. Every recipe includes a privacy badge so you know what stays on your computer, what goes public, and what connects to a vendor account.
Why I recommend it: Free to use. Built by Decoded Futures (a TechNYC program). The recipes are framed for nonprofit work, but the same patterns work for job searches, career content, and small-business tasks.
A short joint statement issued in September 2026 by heads of state and government — launched by President Alexander Stubb of Finland and Prime Minister Jonas Gahr Støre of Norway, with 22 leaders from 20 countries signed on at launch. It asks for three things: mandatory pre-deployment testing and independent evaluation by qualified evaluators with real access; coordinated common standards and shared reporting of serious safety incidents, with scientific capacity available to countries in every region; and for UN member states to explore an international institution that could set standards, verify compliance and convene states when capability thresholds are crossed.
Why I recommend it: Read this as the primary source rather than someone's summary of it — it is one page, in plain language, and you can read the whole thing in three minutes. Two things worth noticing: it is a political appeal, not a law or a treaty, so nothing in it binds any company today; and the United States and China are not among the signatories, which matters given where the frontier labs are. Useful if you are writing or interviewing about AI policy and want to quote what governments actually asked for, dated September 2026.
A one-page reference of more than 200 resume action verbs sorted into fourteen groups — leadership, achievement, growth, creation, analysis, problem-solving, efficiency, communication, strategy, financial, sales, project management, change management, and scale. It ends with a before-and-after table showing why "Mobilized a cross-functional team of five" beats "Led a team of five", and why "Allocated and monitored a $2M annual budget" beats "Responsible for the budget".
Why I recommend it: Use it as a swap list, not a thesaurus to sprinkle. Katie's own warning is the important part: a strong verb can't hide a weak result — if you write "Transformed" or "Spearheaded", the rest of the bullet has to prove it with a number or a clear before-and-after. Pick one verb per bullet, never repeat the same one twice on a page, and if you can't back a big verb with evidence, choose a smaller, truer one.
Microsoft's community skilling programme that partners with local community colleges and vocational schools to train people for entry-level datacenter and digital-infrastructure jobs. The five parts are aligned curriculum, a hands-on datacenter lab, mentoring from Microsoft datacenter staff, work experience at a Microsoft datacenter, and scholarships or financial grants. It runs in cohorts through named partner schools rather than as an online course you sign up for.
Why I recommend it: The honest version: this page is the program overview, not an application. The training is delivered by a local partner school, so start at the locations list and go to the school nearest you for dates, entry requirements and what the school itself charges — Microsoft's scholarships cover tuition, fees and certification exams only for students who qualify, so ask the school in writing what you would owe if you don't get one. Microsoft says more than 12,500 people have enrolled since 2018 across at least 14 countries; treat any jobs or salary figures the program quotes as its own marketing, not a promise of a Microsoft job.
A New Orleans-based coding school. The Prep course — three weeks of JavaScript basics, taught live online — is free and open to complete beginners, and is the entry point to everything else they run. The longer adult workforce programme and the High School to High Wage track follow on from it.
Why I recommend it: Start with the free Prep course and nothing else. It is free and it answers the only question that matters early on: do you actually like this work? The longer workforce program is not free — ask them directly what it costs and what the financing terms are before you commit, and treat their published average starting salary as their own marketing figure, not a promise.
Upload a CV or a plain-text document and it gives you a private read on where you stand professionally and what to do next. No account needed to try it, and it says the session is deleted after 24 hours unless you save it.
Why I recommend it: Free to use right now and it publishes no prices at all — the site is very new, so free today does not mean free next month. Two honest cautions: uploading your CV means handing it to their AI providers, which their own consent line says plainly, and read anything it tells you about your career as one opinion from a machine that has seen one document.
Free training and sample documents for nonprofit and fundraising work from Candid: recorded courses on proposal writing and project budgets, plus real sample cover letters, letters of inquiry, proposal budgets and full funded proposals you can read end to end.
Why I recommend it: The sample full proposals are the part worth your time — reading three funded proposals teaches more than any course on how to write one. Useful well beyond nonprofits: the structure (need, plan, budget, how you will show it worked) is the same structure a grant or pitch wants from a small business.
A free member community for Black and Latinx computer science students: a Slack workspace for homework and career advice, monthly workshops and coaching, career fairs, and a resume pipeline to partner companies.
Why I recommend it: Free membership for eligible students. The Slack workspace is where most of the value is — hundreds of opportunities get shared every month.
Free one-to-one mentorship for students with mentors from companies like Microsoft, Atlassian, Amazon and Riot, plus a Discord community. Over 13,000 students and 17,000+ sessions booked.
Why I recommend it: Free to book a mentor session. Small mentor roster (about 60), so pick your question carefully and come prepared — you will get more out of one focused conversation than a general chat.
Design and prototyping tool used across the industry, with a free Starter plan that covers design files, FigJam whiteboards and slides. Useful for portfolios, pitch decks, wireframes and simple brand assets.
Why I recommend it: Free Starter plan has limits on the number of files and collaborators, and some features (Dev Mode, advanced Figma Make usage) sit on paid seats. Enough for one person building a portfolio or deck without paying.
Free programs for undergraduate students pursuing tech careers, with a current focus on AI, data science and machine learning pathways. Includes fellowships and work-based learning run with university and industry partners.
Why I recommend it: No cost to students, but programs are application-based and tied to specific universities and cohort dates. Check the programs page for who is eligible before you plan around it.
A mentorship platform that matches you with a mentor working in your field — design, product, engineering, marketing and more. Signing up and your first session are free.
Why I recommend it: Free to join and the first session is free; ADPList also promotes paid plans and some mentors charge, so check the mentor page before booking. Free-tier value: browse mentors, book open calendar slots, ask for a portfolio or interview review.
A free community of 50,000+ women from university through early career in tech. Membership gives you a peer network, mentorship, events, and access to partner companies that recruit from the community. Open to everyone, centered on women in tech.
Why I recommend it: Free to join. Strongest if you are a university student or in your first few years of work — the value is the people and the recruiting pipeline, not the content library.
A paid fellowship for emerging leaders in social entrepreneurship, economic development, and the nonprofit sector. Fellows commit 20 hours a week from November 5, 2026 through June 30, 2027, work directly with the founder and team, and receive an $8,000 stipend on successful completion. Focus areas include leadership development, strategic planning, program design, research and data analysis, and community engagement.
Why I recommend it: Free to apply and it pays you — a rare combination. Read the time commitment honestly before applying: 20 hours a week for eight months is a real obligation alongside school or another job. Dates and the stipend amount are taken from their page as of September 2026; confirm both with the organization before you plan around them.
A research-based capacity-building organization in the Pittsburgh region working with nonprofit leaders, founders, artists, institutions, and funders to advance equity. Its programs include the Social Impact Fellowship, the Transformative Leader Program, the SCALE Fellowship, a Creative in Residence program, and a nonprofit accelerator, plus an impact report and published stories.
Why I recommend it: Browse their programs page first — most of what is useful to an individual is a cohort program with an application, not a self-serve resource. Strongest fit if you are building a nonprofit or social venture in or near Pittsburgh.
Apply for a scholarship covering WiCyS 2027 conference registration, all activities and meals, plus two nights of shared lodging. Applications run 2–30 September 2026.
Details: Free to apply, and the award covers the expensive parts of attending a technical conference. Applications close 30 September 2026, so this is a now-or-next-year thing.
Axon's own documentation for its policing technology, covering AI features, body cameras, software, robotics, TASER devices and VR training. Free to read.
From the site: Explore Axon product guides by technology area, including AI, cameras, software, robotics, TASER weapons, and VR training.
Why I recommend it: Worth reading if you want to know what police surveillance and AI tools actually do, in the vendor's own words. This is company documentation, not an independent assessment.
Brookings' running collection of technology and innovation research, including AI policy, labour effects and governance. Free to read.
Why I recommend it: A steady source of policy research when you want something more careful than news coverage. Brookings is a think tank with its own funders and viewpoints.
Turns books and documents into scrollable, bite-sized learning cards with AI summaries and quizzes.
From the site: What is AI smart scrolling? ScrollEd pioneered AI smart-scrolling technology that transforms books into scrollable, bite-sized learning cards with AI summaries and quizzes. Learn faster in 5-minute sessions.
Why I recommend it: The free tier is limited: demo content only, no file uploads, and ads. Pro is $6.99 a month (currently offered free for three months to early members), so treat the free plan as a look around rather than a usable reading tool.
Nov 6, 2026 – Nov 7, 2026New Jersey Institute of Technology
A free online jeopardy-style capture-the-flag organised by the New Jersey Institute of Technology. 6 November 2026, 17:00 UTC to 7 November 2026, 17:00 UTC.
From the site: REGISTRATION IS NOW AVAILABLE! BOO!! Welcome to SpookyCTF 2026! Organized by the New Jersey Institute of Techno...
Details: Registration is open. A 24-hour format, so it fits into one weekend rather than eating a week.
An independent, curated gallery of projects people have built with Jev, with demos and maker profiles. Free to browse, no account needed.
From the site: Explore 194 curated projects built with Jev. Original demos, maker profiles, and ideas worth exploring.
Why I recommend it: Good for seeing what a tool actually gets used for, rather than what its marketing says. It is a fan-run collection, not an official site.
A free online jeopardy-style capture-the-flag run by Cyber Hacktics with U.S. Air Force veterans for Cybersecurity Awareness Month. 17 October 2026, 14:00 UTC to 19 October 2026, 00:00 UTC.
From the site: DEADFACE CTF features jeopardy-style challenges and is hosted by Cyber Hacktics and veterans of the United States Air...
Details: Beginner-friendly as CTFs go, and a real thing to point at in an interview. Free to play.
A resume tool that takes one master resume and rewrites it for each job you apply to, aiming at the keyword screening most large employers run applications through. The free tier gives one tailored resume a month and a free eight-minute Career Fit assessment; paid plans ($19 and $39 a month) add unlimited tailoring, match scoring, a resume editor and interview prep.
Why I recommend it: The free tier is one tailored resume a month, which is enough to see whether you like what it writes before you pay anything. Treat every rewrite as a draft you edit: tools like this pad bullet points with keywords, and a recruiter reads the result in about seven seconds. The statistics on their homepage about screening software are their own marketing figures, not independent research.
A practical engineering comparison of decision models (Jev AI) and generative large language models: when to use each, how they can work together, and a five-dimension framework for choosing.
Why I recommend it: Community article on Hugging Face by sora-2, published 21 September 2026. It explains that Jev AI turns state into a choice, score or yes/no judgment inside a defined answer space, while generative LLMs handle open-ended writing, explanation and reasoning. Rule of thumb: if the answer space can be defined in advance and the result will be reused, ranked, routed or blocked by code, evaluate Jev AI first.
#Jev AI#decision model#LLM#large language model#AI architecture#agent#Hugging Face#chat model
Turns a target role, location and skills into focused Google search queries that surface openings on company career pages and applicant tracking systems such as Greenhouse, Lever and Workday.
From the site: Find hidden jobs on career pages, Greenhouse, Lever, Workday, and other ATS routes before they spread across public boards.
Why I recommend it: Free to use, with no pricing published. The real skill here is the search technique: fresher postings on a company's own careers page usually have far less competition than the same job on a big aggregator. Always apply through the company page you land on.
A free series of afternoon Build Days in New York City where nonprofit and social sector leaders sit down with technologists to work on practical ways to use AI in their organisations. Run by Decoded Futures, a Tech:NYC program. Sessions run from Thursday 24 September 2026 through 22 October 2026, 1:00 PM to 5:00 PM, in person in New York.
Details: Free and in person, and the point is that you leave with something built rather than notes from a talk. Register on the event page and check which individual dates still have spaces, since the series runs across several afternoons. It is aimed at nonprofit teams, so go with a real problem from your own work.
A job search portal built around visa sponsorship: every listing carries a score for how likely sponsorship is (confirmed, likely, possible, or not sponsored), and you can filter by country, field and work mode. Upload a resume and it also scores your match against jobs and helps with applications. Free during its early access period, with no card required.
Why I recommend it: Useful if you are looking for work in a country you need sponsorship for, which almost no mainstream job board tells you anything about. Two honest cautions: it says free during early access, so free today does not mean free next month, and a sponsorship score is the site's guess from a job posting, not a promise from the employer, so confirm with the company before you build plans on it. Uploading your resume means handing it to their AI providers.
A free daily publication covering the future of work: hybrid and remote policy, return-to-office mandates, flexible workspace and coworking, workplace technology and AI, and the employment law and labour trends behind them. Articles read in full with no subscription and no paywall.
Why I recommend it: Read this when you want to know what employers are actually doing about remote and hybrid work before you negotiate for it, or when you are weighing an offer that calls itself flexible. It is written for the workspace industry, so some coverage is trade news about office operators rather than advice for you; take the policy reporting and skip the property pieces.
A free tracker documenting AI-driven layoffs, closures and job displacement by country, industry and company, with each entry sourced back to reporting.
From the site: AIimpacted documents AI-driven layoffs, closures, and job displacement across every country, industry, and company - reported, sourced, and discussed.
Why I recommend it: Useful for seeing which roles and industries are actually being cut rather than which ones headlines say are at risk. Treat it as a directory of reported cases, not a forecast.
#ai#future of work#job market#job markets#layoffs#research#tracker
Fully-funded fellowship from the Institute for AI Policy and Strategy for professionals from varied backgrounds who want practical AI policy skills.
From the site: The IAPS AI Policy Fellowship is a fully-funded program for professionals from varied backgrounds seeking to strengthen practical policy skills for securing a positive future in a world with powerful AI.
Why I recommend it: Free to apply and funded if accepted, and it is explicitly open to career changers rather than only policy insiders. Check the current cohort dates before you plan around it.
A free candidate account that sends job alerts for reviewed openings, lets approved recruiters consider your profile, and tracks applications, saved jobs and resumes.
Why I recommend it: Joining the talent network is free — you do not have to fill out a long application first. Their one-to-one career services and employer packages are paid, so treat the network as the free front door and ignore the upsells unless you want them.
Upload a resume and paste a job description to get an ATS match score, missing keywords, a tailored resume, cover letter, recruiter message and interview prep for that specific role.
From the site: Upload your resume, paste a job description, and get an ATS match score, missing keywords, a tailored resume, cover letter, recruiter message and interview prep.
Why I recommend it: The free plan covers 10 complete applications a month with no card required; larger bundles are paid. Never send a rewritten resume out unread — check every claim is still true about you before you apply.
Independent cybersecurity and technology news site covering malware, ransomware, data breaches, privacy, and support guides for Windows, Linux and macOS.
From the site: BleepingComputer is a premier destination for cybersecurity news for over 20 years, delivering breaking stories on the latest hacks, malware threats, and how to protect your devices.
Why I recommend it: Free to read and ad-supported. Use it as a practical incident tracker and a source of plain-language security guidance, not as a single source for attribution.
A free printable workbook for the weeks after a layoff, reorg or exit you did not choose, written by Erica Rivera, a former Google and Indeed recruiter. It walks through the first 72 hours, then days 1-30 (runway math, benefits and unemployment deadlines, severance review), days 31-60 (evidence of your work, your narrative) and days 61-90 (options and offers), with space to write your own answers and date them.
Why I recommend it: The most useful page is the first 72 hours: read the separation agreement slowly, do not sign on day one, and handle healthcare and unemployment deadlines before you touch your resume. It is written for senior women with 12+ years in, so the framing assumes that; the deadlines and runway math apply to anyone. It downloads straight as a PDF with no email required.
Non-profit building the responsible tech community, with free reports, career guides, mentorship programmes, a job board and a large directory of people working on tech and society issues.
From the site: We
Why I recommend it: One of the best free entry points if you want to move into responsible tech — the reports and community directory are open to anyone, no membership needed.
Capital One's full-time rotational programs for new graduates, covering technology, data, business analysis, product, design, audit and management tracks. Associates rotate across teams for a set period with structured mentorship, then settle into a role. The page lists each program and links to its current openings.
Why I recommend it: These are paid graduate jobs, not training you buy, and applying costs nothing. Rotational programs suit you if you do not know which team you want; if you already do, a direct role gets you there faster. Openings are seasonal, so search the listings rather than trusting the overview page, and check each posting for the degree year and work-authorization requirements before you spend time on the application.
A weekly hand-checked list of fully remote and work-from-anywhere roles, including freelance work, with application links out to the hiring companies.
From the site: Discover a variety of flexible remote jobs with Remote Rebellion. Embrace the freedom of working from anywhere with remote flexible job opportunities.
Why I recommend it: The job list itself is free — they say so on the page — and they also note some postings may have expired, so check the date before investing time. Their Remote Job Academy and community are paid, and you do not need either to use the list.
A long technical essay that probes the Jev model with roughly 10,000 API calls and reasons out how it is likely built, correcting popular claims circulating on social media.
From the site: I probed Jev with 10,000 API calls to work out roughly how it’s built, and why most of the grifter takes on X are completely wrong.
Why I recommend it: Free to read in full. A good example of testing a claim yourself instead of repeating hot takes — useful if you want to sound informed about new models without overstating what is actually known. The conclusions are the author's inferences, not confirmed by the model's makers.
The US government's public library of cybersecurity standards, guidance and publications, including the SP 800 series, project pages, news and events.
From the site: CSRC provides access to NIST's cybersecurity- and information security-related projects, publications, news and events.
Why I recommend it: Free and public, no account needed. This is the primary source behind most security "best practice" advice you will read elsewhere, so cite it directly rather than a blog summarising it.
Interdisciplinary Stanford research institute studying how digital technology and AI change work, productivity and shared prosperity, with public papers and data.
From the site: The Stanford Digital Economy Lab is an interdisciplinary research institute shaping a future where technology drives human well-being and shared prosperity.
Why I recommend it: Free to read. Useful when you want measured research on AI and jobs instead of headline claims — check the publication date on each paper, the field is moving fast.
IEEE Spectrum article on how AI is shifting entry-level engineering work toward higher-order thinking, review and collaboration skills, and what recent graduates can do about it.
From the site: How can recent grads navigate a job market transformed by AI? Learn how to make AI work for you, not against you.
Why I recommend it: Free to read on IEEE Spectrum. Practical if you are early-career: it describes what junior work is turning into rather than predicting job counts.
Published research and analysis on education, skills and workforce markets from HolonIQ, including global market reports and outlook pieces.
From the site: Published research and analysis on education, skills and workforce markets.
Why I recommend it: The research pages are free to read, though HolonIQ sells paid intelligence products — treat the reports as vendor research and check who funded any figure you plan to quote.
Free guides, playbooks and blog posts on alumni relations, fundraising and advancement work from the Almabase team.
From the site: Follow the Almabase blog for best practices in Alumni relations, Fundraising and Advancement Industry.
Why I recommend it: Free to read with no account for most posts. It is published by a software vendor, so the advice is genuine but written to sell their platform — take the practices, ignore the pitch.
Research institute publishing free reports and analysis on AI governance, compute policy, security and international coordination.
Why I recommend it: Read this alongside the industry labs' own publications — it covers the governance side that vendor blogs tend to skip. All research is free to download.
#ai policy#governance#regulation#research#security#think tank
Institute for AI Policy and StrategyAdded Sep 21, 20260 opens
Free courses, live cohorts and certifications on modern go-to-market systems, taught around the Clay platform.
From the site: Master modern GTM systems with Clay University. Join hands-on courses, live cohorts, and certifications to level up your craft and build what’s next. Enroll today and learn from real GTM experts using Clay.
Why I recommend it: The courses are free to enrol in and the go-to-market thinking transfers beyond Clay itself. Bear in mind it is a vendor's academy — the workflows assume you are using their product, which is paid past its free credits.
IEEE's research library of journal articles, conference papers and standards across computing, electrical engineering, AI and robotics.
From the site: Search and browse IEEE journals, conference proceedings and standards; abstracts are free, full text usually requires a subscription or purchase.
Why I recommend it: Paywall warning: searching and reading titles, abstracts and citations is free, but most full papers need a subscription, an institutional login or a per-article purchase. Some papers are open access and free in full. Check your school or public library for access before paying, and look for the same paper on the author's own site or arXiv first.
A charity running free software development and basic online skills courses, with mentoring and job support, for people facing barriers to work including refugees and people on low incomes.
From the site: Exceptional free tech training and support to get a job
Why I recommend it: Completely free for learners — funded by donations and volunteers, not tuition. Places are limited and there is an application and commitment expectation, so apply when you can give the course your time.
Scheduling and publishing tool covering 30+ social networks from one calendar, with a free tier and paid plans for higher volume.
From the site: Schedule and publish your social media across 30+ networks from one calendar. Or hand the keys to your AI agent over MCP, REST and SDK.
Why I recommend it: Worth a look if you are building a personal brand across several platforms. Start on the free tier and only pay once you know you will actually post that often.
All-in-one bookmark manager for saving, tagging and organising links, articles and media, with a generous free plan and a low-cost Pro tier.
From the site: For your inspiration, read later, media and stuff
Why I recommend it: This is the tool I use to capture every link before it becomes a resource here. The free plan is enough for most people; Pro mainly adds full-text search and backups.
Subscription tech newsroom covering AI labs, funding and executive moves, known for scoops on OpenAI, Anthropic, Google and Meta well before wider coverage picks them up.
Why I recommend it: Honest warning: this one breaks the site's 100%-free rule. Almost everything is behind a paid subscription — you can read headlines and the opening lines, and a few free briefings, but full articles need a paying account. Added at my request as a reporting source; treat it as a headline tracker rather than something you can read end to end.
Autonomous coding agent that reverse-engineers large codebases and ships new features. The Sandbox lets you try it free on up to 1M lines of existing code and 25K lines of new features, with no credit card required.
From the site: Try Blitzy Sandbox free: reverse-engineer up to 1M lines of code and ship 25K lines of new features, no cost. Bring your own repo or start with a sample.
I believe the time has come for a broad boycott of generative AI — a public argument from AI researcher and critic Gary Marcus on why the technology is not ready for widespread deployment.
From the site: I believe the time has come for a broad boycott of generative AI — a public argument from AI researcher and critic Gary Marcus on why the technology is not ready for widespread deployment.
#ai ethics#AI ethics#boycott#Gary Marcus#generative AI#research#responsible AI
TechRadar reports on the former OpenAI chief scientist's prediction that AI will eventually match everything humans can do, with context on his new lab Safe Superintelligence.
From the site: Scientists predict that AI will one day be able to outdo humans on not just some, but all, tasks that we currently excel in
Why I recommend it: Free to read with ads. It is a prediction from someone who runs a superintelligence company, reported second-hand — interesting as a position, not as evidence.
The UN ITU's AI for Good programme runs regional youth networks that connect students and early-career people building AI projects for social impact, with local chapters and events.
From the site: Discover our regional youth network connecting young leaders and innovators driving positive impact through AI and technology.
Why I recommend it: Free to join through the UN agency itself. A practical way to meet peers in your region rather than only reading about AI.
A long-running cybersecurity news site covering breaches, vulnerabilities and, increasingly, AI-related security incidents.
From the site: The Hacker News is the top cybersecurity news platform, delivering real-time updates, threat intelligence, data breach reports, expert analysis, and actionable insights for infosec professionals and decision-makers.
Why I recommend it: Free to read with ads and newsletter prompts. Good for spotting AI security stories early; headlines can be urgent in tone, so check the underlying advisory.
Amazon's agentic coding environment: you write a spec, and its agents plan, build and check code across a codebase. Runs as a desktop app.
From the site: Kiro helps developers and teams do their best work: turn prompts into executable specs, validate code correctness to find bugs unit tests miss, and build across large codebases with parallel agents that learn from every session.
Why I recommend it: Freemium. The free plan gives you 50 credits a month plus access to Claude Sonnet 4.5 and open-weight models, subject to rate limits; paid plans start at $20 a month. Fine for trying agentic coding, not for all-day use.
A DAIR Institute project for unions, labor organizations and worker-organizers dealing with AI and automation at work: case studies, primers and a resource library on worker-led oversight of new technology.
From the site: Research and case studies.
Why I recommend it: Free. Written from an explicitly pro-worker position, which it states openly — useful if you want the labor perspective on workplace AI rather than the vendor one.
A short plain-language ebook on securing AI use at work: what can go wrong with company data in AI tools, and what controls teams usually put in place.
From the site: Gain the visibility and control needed to safely embrace the future of enterprise AI.
Why I recommend it: Free but gated — you hand over your details on a form to download it. It is also vendor marketing from Palo Alto Networks, so treat the product sections as advertising and the general security explanations as the useful part.
A global community run by AI for Good for young people who want to lead ethical AI work, with chapters, mentoring and calls for participation in ITU events.
From the site: Join the Young AI Leaders Community to empower youth, drive ethical AI innovation, and lead impactful change for a sustainable future.
Why I recommend it: Free and open to apply. Read the commitments before joining — it expects you to contribute, not just attend.
An open-source platform for running coding agents such as Claude Code and Codex across your own machines and specialising them for domains like CAD, PCBs, robotics and games, with optional open hardware.
From the site: Follow your curiosity. Build across disciplines. Open-source software and hardware for polymaths in the making. - autonomous-ai/openharness
Why I recommend it: The software is free and open source. The agents you run inside it may cost money, and the companion hardware is a separate purchase — the repo itself is the free part.
An AI safety lab focused on "scheming" — models that pursue their own goals while appearing aligned. Publishes research on detecting deception, evaluations and governance advice.
From the site: Apollo Research is focused on reducing risks from scheming frontier AI. Our goal is to secure frontier AI systems across development, deployment, and governance.
Why I recommend it: Their research and blog are free to read. Apollo also sells a monitoring product, so read claims about their own tool as company claims.
Research, guides, reports, and customer stories on AI governance, agents, data protection, and generative AI security.
From the site: Explore Harmonic Security AI resources: research, guides, reports, blogs, and customer stories on AI governance, agents, data protection, and GenAI security.
Why I recommend it: Free resource library from Harmonic Security; the company also sells enterprise AI security products.
Well-explained computer science and programming tutorials, quizzes, and interview practice problems.
From the site: Your All-in-One Learning Portal. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions.
Why I recommend it: Ad-supported; most articles and practice problems are free to read.
Raji and colleagues examine the ethics of the audits themselves: who is photographed, who consented, and what an auditor owes the people in the test set.
From the site: Although essential to revealing biased performance, well intentioned attempts at algorithmic auditing can have effects that may harm the very populations these measures are meant to protect. This concern is even more salient while auditing biometric systems such as facial recognition, where the data is sensitive and t…
Why I recommend it: A rare paper about the ethics of doing ethics work. Free on arXiv.
Vinay Prabhu and Abeba Birhane examine widely used image datasets and find non-consensual photos of real people, offensive labels and no realistic route to consent.
From the site: In this paper we investigate problematic practices and consequences of large scale vision datasets. We examine broad issues such as the question of consent and justice as well as specific concerns such as the inclusion of verifiably pornographic images in datasets. Taking the ImageNet-ILSVRC-2012 dataset as an example…
Why I recommend it: This is the audit that got a major benchmark dataset withdrawn. Short, readable, and free.
Birhane and colleagues show that training on a larger scrape makes hateful content and racist misclassification worse, not better — direct evidence against "more data fixes it".
From the site: `Scale the model, scale the data, scale the GPU-farms' is the reigning sentiment in the world of generative AI today. While model scaling has been extensively studied, data scaling and its downstream impacts remain under explored. This is especially of critical importance in the context of visio-linguistic datasets wh…
Why I recommend it: Useful whenever someone argues scale solves bias. Free in full on arXiv.
Abeba Birhane, Vinay Prabhu and Emmanuel Kahembwe audit the LAION-400M dataset used to train popular image models and document the racist, misogynistic and non-consensual material inside it.
From the site: We have now entered the era of trillion parameter machine learning models trained on billion-sized datasets scraped from the internet. The rise of these gargantuan datasets has given rise to formidable bodies of critical work that has called for caution while generating these large datasets. These address concerns sur…
Why I recommend it: The paper to read before anyone tells you a model is fine because the data was "publicly available". Free in full on arXiv.
Raji and colleagues argue many deployed AI systems fail on their own stated terms — they simply do not work — and that this belongs in the harm conversation alongside bias.
From the site: Deployed AI systems often do not work. They can be constructed haphazardly, deployed indiscriminately, and promoted deceptively. However, despite this reality, scholars, the press, and policymakers pay too little attention to functionality. This leads to technical and policy solutions focused on "ethical" or value-ali…
Why I recommend it: The first question is not "is it fair" but "does it work at all". Free in full on arXiv.
Raji and co-authors show that benchmarks claiming to measure general ability measure something much narrower, and that the gap is how overclaiming happens.
From the site: There is a tendency across different subfields in AI to valorize a small collection of influential benchmarks. These benchmarks operate as stand-ins for a range of anointed common problems that are frequently framed as foundational milestones on the path towards flexible and generalizable AI systems. State-of-the-art…
Why I recommend it: Read this before you trust a benchmark chart in a launch post. Free on arXiv.
Deborah Raji and co-authors set out a practical, stage-by-stage internal audit process for AI systems, from scoping through to post-deployment review.
From the site: Rising concern for the societal implications of artificial intelligence systems has inspired a wave of academic and journalistic literature in which deployed systems are audited for harm by investigators from outside the organizations deploying the algorithms. However, it remains challenging for practitioners to ident…
Why I recommend it: The closest thing to a step-by-step audit template you can use inside an organization. Free on arXiv.
Five plain-language protections people should expect from automated systems — safe systems, protection from discrimination, data privacy, notice and explanation, and a human alternative — each with a section on what organisations should do.
From the site: Among the great challenges posed to democracy today is the use of technology, data, and automated systems in ways that threaten the rights of the American public. Too often, these tools are used to limit our opportunities and prevent our access to critical resources or services. These problems are well documented. In…
Why I recommend it: Led by Alondra Nelson at the White House science office in 2022. It was never binding and has since been removed from whitehouse.gov, so this link goes to the official archive — still the clearest short statement of what people are owed.
Arvind Narayanan and Sayash Kapoor's newsletter separating AI that works from AI that is oversold, with close readings of specific product and research claims.
From the site: Analyzing AI as transformative but normal technology, not superintelligence. Click to read AI as Normal Technology, a Substack publication with tens of thousands of subscribers.
Why I recommend it: The archive is free to read and the best regular antidote to launch-post hype. The book of the same name is a paid purchase — you do not need it to follow the newsletter.
Proposes a short standard document to ship with every trained model: what it is for, who it was tested on, where it performs worse, and what it should not be used for. Most model documentation you see today descends from this. Free on arXiv.
From the site: Trained machine learning models are increasingly used to perform high-impact tasks in areas such as law enforcement, medicine, education, and employment. In order to clarify the intended use cases of machine learning models and minimize their usage in contexts for which they are not well suited, we recommend that rele…
Why I recommend it: This is the practical end of AI ethics — a template, not an argument. Useful if you ever have to evaluate a vendor's model.
Separates the technical question (how do you make a system pursue a goal) from the normative one (whose values, chosen how). Argues no single person's values are a legitimate target and looks at fair-process alternatives. Free on arXiv.
From the site: This paper looks at philosophical questions that arise in the context of AI alignment. It defends three propositions. First, normative and technical aspects of the AI alignment problem are interrelated, creating space for productive engagement between people working in both domains. Second, it is important to be clear…
Why I recommend it: The clearest philosophical treatment of “aligned to what?” I have found. Skip the lab blog posts and read this instead.
A long report on what changes when AI acts on your behalf rather than answering questions: manipulation, anthropomorphism, misaligned delegation, and what happens when everyone has an assistant at once. Free on arXiv.
From the site: This paper focuses on the opportunities and the ethical and societal risks posed by advanced AI assistants. We define advanced AI assistants as artificial agents with natural language interfaces, whose function is to plan and execute sequences of actions on behalf of a user, across one or more domains, in line with th…
Why I recommend it: Dense but the most thorough thing published on agent ethics. Use the section headings to read only the parts you need.
Argues that before release, labs should test models for dangerous capabilities and for whether they will apply them — and sets out what responsible release decisions would look like. Free on arXiv.
From the site: Current approaches to building general-purpose AI systems tend to produce systems with both beneficial and harmful capabilities. Further progress in AI development could lead to capabilities that pose extreme risks, such as offensive cyber capabilities or strong manipulation skills. We explain why model evaluation is…
Why I recommend it: This is where today's “frontier safety framework” language comes from. Written largely by the labs it would govern, which is worth holding in mind.
Argues that ever-larger language models carry costs that scale with them: environmental cost, unauditable training data, encoded bias, and the illusion of understanding. The source of the phrase “stochastic parrot.” Free to read on the ACM site.
Why I recommend it: The paper that got two of its authors pushed out of Google. Worth reading before you accept either the hype or the dismissal of it.
Borrows the electronics-industry datasheet idea for training data: how it was collected, who is in it, who consented, and what it should not be used for. Free on arXiv.
From the site: The machine learning community currently has no standardized process for documenting datasets, which can lead to severe consequences in high-stakes domains. To address this gap, we propose datasheets for datasets. In the electronics industry, every component, no matter how simple or complex, is accompanied with a data…
Why I recommend it: Pairs directly with Model Cards. Together they are the closest thing the field has to a documentation standard.
Reviewed 146 papers on bias in language technology and found most never say who is harmed or how. Argues bias work has to start from real-world power relations, not just from a metric. Free on arXiv.
From the site: We survey 146 papers analyzing "bias" in NLP systems, finding that their motivations are often vague, inconsistent, and lacking in normative reasoning, despite the fact that analyzing "bias" is an inherently normative process. We further find that these papers' proposed quantitative techniques for measuring or mitigat…
Why I recommend it: Read this if “bias” has started to sound like a box to tick. It is a careful takedown of shallow fairness work by people who do the work.
The founding technical paper on algorithmic fairness: defines fairness as treating similar individuals similarly, and shows why blindness to a protected attribute does not deliver it. Mathematical. Free on arXiv.
From the site: We study fairness in classification, where individuals are classified, e.g., admitted to a university, and the goal is to prevent discrimination against individuals based on their membership in some group, while maintaining utility for the classifier (the university). The main conceptual contribution of this paper is…
Why I recommend it: The math is heavy, but the first few pages explain why “we just don't collect race” is not a fairness strategy.
Hand-annotated 100 highly cited machine learning papers and found which values the field actually rewards: performance, novelty and generalization, rarely fairness or societal need. Also traces the funding behind the work. Free on arXiv.
From the site: Machine learning currently exerts an outsized influence on the world, increasingly affecting institutional practices and impacted communities. It is therefore critical that we question vague conceptions of the field as value-neutral or universally beneficial, and investigate what specific values the field is advancing…
Why I recommend it: Turns “the field has blind spots” into countable evidence. Good antidote to the idea that research priorities are neutral.
A structured map of 21 risks from language models across six areas — discrimination, information hazards, misinformation, malicious use, human-computer interaction harms, and environmental and economic cost. Free on arXiv.
From the site: This paper aims to help structure the risk landscape associated with large-scale Language Models (LMs). In order to foster advances in responsible innovation, an in-depth understanding of the potential risks posed by these models is needed. A wide range of established and anticipated risks are analysed in detail, draw…
Why I recommend it: The best single reference if you need vocabulary for a specific harm rather than a general argument. Written by a lab, so read it as a lab's own framing.
Tested three commercial face-classification products and found error rates of up to 34.7% for darker-skinned women against 0.8% for lighter-skinned men. The study that turned algorithmic bias from a theory into a measured, published fact. Free to read in full.
From the site: Recent studies demonstrate that machine learning algorithms can discriminate based on classes like race and gender. In this work, we present an approach to evaluate bias present in automated facial...
Why I recommend it: If you read one AI ethics paper, read this one. It is short, the method is easy to follow, and it is the reason facial recognition audits exist at all.
Shows that “interpretable” is used to mean several incompatible things, and that simpler models are not automatically more honest about what they do. Free on arXiv.
From the site: Supervised machine learning models boast remarkable predictive capabilities. But can you trust your model? Will it work in deployment? What else can it tell you about the world? We want models to be not only good, but interpretable. And yet the task of interpretation appears underspecified. Papers provide diverse and…
Why I recommend it: Useful skepticism to carry into any conversation about explainable AI, especially a vendor's.
A long-running publication covering breakthroughs and trends in science and technology, with a strong focus on AI, robotics, biotech, and the broader technological frontier. Free to read; non-editorial content from sponsors and partners is labeled.
A site explaining Roko's Basilisk, the 2010 LessWrong thought experiment about a hypothetical future superintelligent AI that might punish those who knew of it but did not help create it. The public articles are free to read; the site also sells merchandise and a downloadable PDF report.
From the site: Join the Basilisk Foundation to protect yourself from Roko’s Basilisk, support AI research, and gain peace of mind with our safety guarantees and member benefits.
A curated, uncommercial public archive of the Cybernetic Culture Research Unit (CCRU) and adjacent theory — Nick Land, accelerationism, hyperstition, and 1990s Warwick philosophy. The public reference layer is free; full corpus metadata is available for download.
From the site: An editorial introduction to the Cybernetic Culture Research Unit: what it was, why it keeps returning, and how to move from orientation to evidence without…
AI-powered trend intelligence that tracks what is going viral on TikTok, Instagram, X, YouTube and more. Browse public trend reports or subscribe to the newsletter to spot rising sounds, formats and aesthetics before they peak.
From the site: Discover emerging social media trends before they explode. Advanced AI predicts viral content across all major platforms.
Why I recommend it: Public trend reports and the newsletter are free to read. The full real-time dashboard appears to be invitation-only or not yet launched.
An AI career coach for job seekers: CV review with specific recommendations, a recorded video introduction, a shareable career card, and role matching with application tracking. Free to start.
From the site: Upload your CV — AINA builds your profile, matches you with relevant jobs and keeps your applications in one place. A career coach preps you for interviews.
Why I recommend it: Free to start on the job-seeker side; the paid plans are aimed at the companies doing the hiring. Remember your CV and video go into a recruiting platform, so treat it as sharing your details with employers, not a private notebook.
#AI career coach#CV review#interview prep#job markets#job search
The US National Security Agency's AI Security Center: published guidance, joint advisories and best-practice sheets on securing AI systems against attack. Free to read and download.
Why I recommend it: Practical, specific security guidance you can hand to a technical team. It is written from a national-security standpoint, so priorities reflect government threat models more than everyday consumer risk.
Free registration webinar on how technology is used both against and in support of refugees and people migrating. 1 October 2026, 12:00 PM US Eastern Time.
From the site: On October 3, 2013, 368 people, mostly Eritrean refugees, lost their lives in the Lampedusa shipwreck. On the 13th anniversary of the tragedy, join DAIR’s "Refugees, Migrants, and AI" project for an event that commemorates those who died and asks why, more than a decade later, Lampedusa keeps happening. Bringing toget…
Details: Free to attend with registration. Good if you want the human-rights side of technology rather than the product side.
A curated set of free learning material for legal professionals who want to understand data and AI: primers, courses, tools and reading, gathered in one place.
From the site: Learning Legal Data Science: An Introductory Course on Legal Data Science in R. https://www.youtube.com/embed/iOLLbiW9OPsThe best way to understand what computer science and artificial intelligence can and cannot do in the legal domain is to learn how to program yourself. Acquiring these skills allows you to harness t…
Why I recommend it: A strong starting point if you are in law and feel behind on data and AI. The links are free; some point to external courses that have their own paid upgrades.
#legal#data science#upskilling#learning
Data Science for Lawyers - University of OttawaAdded Sep 18, 20260 opens
An internal-talk write-up in which AWS's chief AI and technology officer lays out how he expects AI and cloud work to change, including what he thinks engineers should get good at. Free to read, no sign-up.
From the site: At the AWS Global Meeting, Matt Wood drew a parallel between AI today and cloud's early days—and brought a live demo to prove the future is already here.
Why I recommend it: Worth reading as an industry leader's view of where the work is heading — it is also Amazon talking about Amazon, so treat the optimism as a company position, not a neutral forecast.
Open-access study in Frontiers in Artificial Intelligence on how workers' career satisfaction holds up as AI enters their jobs, and why feeling supported by an employer does not fully cushion the effect over time.
From the site: IntroductionThe growing integration of Artificial Intelligence (AI) into the workplace is reshaping employees’ perceptions of job and career stability, poten...
Why I recommend it: Useful if you are coaching people through AI-driven change at work: the finding is that reassurance from an employer alone does not protect long-term satisfaction. Peer-reviewed and free to read in full.
Open-access paper in Humanities and Social Sciences Communications arguing against the idea that today's AI systems are or could be conscious, and unpacking why the language of machine awareness misleads people.
Why I recommend it: A clear counterweight to headlines about machines waking up. It argues one side of a contested debate — read it alongside researchers who disagree.
OpenAI's published specification for how its models are supposed to behave: red-line principles, the chain of command between platform, developer and user instructions, content boundaries, and how conflicts should be resolved. Free to read in full, no sign-up.
From the site: The Model Spec specifies desired behavior for the models underlying OpenAI
Why I recommend it: Useful as a primary source when people argue about what an AI assistant "should" do — this is the maker's own stated rulebook, so read it as OpenAI's intent rather than an independent audit of actual behavior.
Publishing platform for newsletters, podcasts and video. Free to start and publish with no fees until you choose to charge readers; Substack takes 10% of paid subscriptions if you do.
From the site: The app for independent voices
Why I recommend it: Free tier covers everything you need to publish and grow; you only share revenue if you turn on paid subscriptions.
Open publishing platform for essays and articles. Writing and publishing are free; reading is limited by a metered paywall unless you pay for a membership, and the Partner Program requires a paid membership to earn.
From the site: On Medium, anyone can share insightful perspectives, useful knowledge, and life wisdom with the world.
Why I recommend it: Free to publish and build a portfolio of writing. Be aware readers may hit a paywall on your posts, so cross-post anything you want widely read.
Free virtual three-day conference run by AI Builders Network, 14-16 October 2026, with 300+ planned speakers on building and shipping AI systems in production.
From the site: Join the AI Builders Global Conference 2026 - a 3-day virtual conference for AI builders, founders, and investors. 200+ sessions across 8 tracks and 47 topics, live workshops, pitch competition, and networking.
Details: Ten of the speakers now have full profiles on the People page. Pick the two or three talks closest to your own work rather than trying to watch a three-day event end to end.
Free long-form Truthdig critique of effective altruism and longtermism, tracing the movement's funding, scandals and eugenic intellectual roots.
From the site: The multibillion-dollar Effective Altruism movement makes rich people feel good about being rich — to hell with the bad publicity.
Why I recommend it: Pointed and openly hostile to its subject. Read it next to the movement's own writing so you can judge which claims are documented and which are argument.
Free library of internship resume examples with section-by-section wording you can adapt when you have little formal work history.
From the site: Looking to land an internship for your school? Here are 25 internship resume examples.
Why I recommend it: Read two or three examples in your field, then rewrite your own bullets to name a task, a tool and a result. Copying the phrasing wholesale is what makes student resumes read alike.
An end-to-end platform that helps ambitious philanthropists and institutions coordinate high-impact giving and longtermist projects.
From the site: Lightcone Commons is a platform for coordinating ambitious philanthropy. Leverage evaluators with strong track records. Split the bill fairly with other funders. Maintain full control over your giving. Commit nothing in advance.
Gwern Branwen’s long-form essays and meta-analyses on AI, psychology, statistics, technology and self-experiments.
From the site: Personal website of Gwern Branwen (writer, self-experimenter, and programmer): topics: psychology, statistics, technology, deep learning, anime. This index page is a categorized list of Gwern.net pages.
Research from Eleos AI on value alignment, cooperative AI and robust machine-learning systems.
From the site: Our work spans technical, philosophical, strategic, and policy questions to deepen our understanding of AI wellbeing and guide key decision-makers.
Owain Evans is an AI alignment researcher leading Truthful AI, a non-profit for AI safety research.
From the site: Owain Evans is an AI Alignment researcher leading Truthful AI, a non-profit for AI Safety research. Discover his publications, blog posts, and collaborative opportunities on AI alignment, AGI risk, and related topics.
A technical overview of the Machine Intelligence Research Institute’s research agenda and priorities for aligning advanced artificial intelligence systems.
From the site: “Artificial superintelligence” (ASI) refers to AI that can substantially surpass humanity in all strategically relevant activities (economic, scientific,
#ai ethics#ai-safety#alignment#miri#research
Machine Intelligence Research InstituteAdded Sep 18, 20260 opens
A statement jointly signed by a historic coalition of AI experts: “Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war.”
From the site: A statement jointly signed by a historic coalition of experts: “Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war.”
Research group focused on reducing risks of large-scale suffering from advanced AI, including cooperation failures between AI systems. Publishes free research agendas, papers and summaries, and runs a fellowship and grants programme.
From the site: We do research on how to best reduce suffering.
Why I recommend it: A niche corner of AI safety focused on suffering rather than extinction — useful if you want the full range of arguments, not just the headline ones.
Personal site of the philosopher behind Superintelligence and the simulation argument, with free full-text papers on existential risk, human enhancement, anthropics and the future of AI. Many of the ideas now standard in AI risk debates started here; his work is also widely criticised, so read it alongside its critics.
From the site: Oxford philosopher (videos, papers, interviews, bio, etc.)
Why I recommend it: Read the primary source rather than summaries of it — then read the critics, several of whom are already in the hub.
Think tank writing on moral circle expansion — how societies decide which beings deserve moral consideration, including animals and potentially sentient AI systems. All posts, reports and survey data are free to read.
From the site: Sentience Institute is a interdisciplinary think tank researching long-term social and technological change, particularly moral circle expansion.
Why I recommend it: Takes questions most AI coverage skips — whether AI systems could ever warrant moral consideration — and treats them carefully rather than sensationally.
Online magazine of ideas and culture publishing long-form essays on philosophy, science, ethics, technology and society. Free to read.
From the site: Aeon is a magazine of ideas and culture. We publish in-depth essays from the world’s most incisive and ambitious thinkers, and a mix of original and curated videos — free to all.
Introductory resource hub for longtermism: explanations, FAQ, further reading and ways to get involved. Explores how protecting future generations can guide research, advocacy and policy today.
From the site: Longtermism is the view that positively influencing the long-run future is a key moral priority of our time.
SSRN working paper by Eldar Maksymov applying the Jevons Paradox to AI-driven labor changes. Argues that, like spreadsheets with accounting, AI may expand demand for judgment-intensive knowledge work and that leaders should build a value fortress of trust and accountability rather than cut headcount.
#ai#ai ethics#economics#executives#future of work#jevons paradox#job markets#paper#research#strategy
Duke Law & Technology Review note by Alanna Potter examining why public benefit corporations appeal to technology companies and whether they meaningfully allow firms to prioritize social benefit alongside shareholder return. Free PDF.
#corporate governance#entrepreneurship#law#pbc#public benefit corporation#regulation#social responsibility#tech industry
Unified intelligence platform that turns structured and unstructured data into a governed knowledge graph for AI. Offers a free open-source graph database (FlureeDB) and a hosted Fluree AI tier that starts at $0 with a free fuel allowance; paid enterprise plans add scale, SSO and private deployments.
From the site: Fluree turns raw data into trusted, queryable knowledge graphs. GraphRAG-powered accuracy for enterprise AI.
Free resource hub from Themis covering governance, risk and compliance (GRC) for banks and fintechs: case studies, blog posts and guides on onboarding partners, diligence, audit-proofing and compliance collaboration.
Newsletter and blog covering transformative AI risk, AI alignment, forecasting, longtermism and how to navigate the century ahead. By Holden Karnofsky; posts are freely readable with an optional audio version.
From the site: For audio version, search for "Cold Takes Audio" in your podcast app
No-code AI agent builder with a free tier: one agent, 1,000 runs/month, access to 200+ models through the MindStudio router, and a library of tutorials and past trainings. Paid plans add unlimited agents and runs.
SSRN working paper by Carla Zoe Cremer (Oxford) and Luke Kemp (Cambridge) examining how existential risk studies can be made more rigorous, pluralistic and democratic. Argues for separating extinction ethics from risk analysis and drawing on broader risk-assessment literature.
Philosopher and senior research fellow at Forethought, working on AGI preparedness and longtermism. Co-founded Giving What We Can, 80,000 Hours, the Centre for Effective Altruism and the Global Priorities Institute; author of Doing Good Better and What We Owe the Future.
Profile synthesis and lessons from builders, leaders and operators across tech. Antoine distills recurring principles from thousands of profiles into practical takeaways on choosing what matters, building, leading and making work last.
From the site: Essays, profiles, and daily reading notes on strategy, operations, AI adoption, business systems, and gtm.
Personal site of Faine Greenwood, a specialist in civilian drone technology, GIS, OSINT and humanitarian aid. She writes about drones, technology and human rights for outlets like Foreign Policy, Bellingcat and Slate, and publishes the Little Flying Robots newsletter.
From the site: I’m Faine Greenwood, and I’m available for consulting. I’m a specialist in civilian drone technology, GIS, OSINT, and humanitarian aid. I write about drones, technology, and human rights for outlets like Foreign Policy, Bellingcat, and Slate. I’ve been working with, writing about, and flying small drones since 2013. C…
Personal site of Ian Duncan, a software engineer and entrepreneur writing about engineering, AI and life. Essays range from a beginner-friendly guide to AI models to critical takes on AI culture and the apocalypse narrative.
Émile P. Torres's weekly newsletter examining the ideologies driving Silicon Valley — effective altruism, longtermism, TESCREAL, and the race to build artificial superintelligence — from a critical, insider-turned-skeptic perspective.
From the site: Stop doomscrolling and just read this! Click to read Realtime Techpocalypse Newsletter, by Émile P. Torres, a Substack publication with thousands of subscribers.
A long-form critical essay by Émile P. Torres arguing that the effective altruism movement has become a cult-like ideology with its own doctrines, charismatic leaders, jargon and social controls — and that this matters for how AI is being developed.
From the site: Understanding the "Scientology of Silicon Valley." (7,700 words)
The academic and popular-writing home page of philosopher Émile P. Torres, covering existential risk, the history of human-extinction thought, and critical work on TESCREAL ideologies in Silicon Valley.
Daily reporting on AI, science and technology, with a running focus on where AI claims meet reality. Free to read.
From the site: Discover the latest science and technology news on breakthroughs that are shaping the world of tomorrow with Futurism.
Why I recommend it: Skeptical by habit, which is useful — it covers the AI stories that companies would rather see written kindly. Headlines run hot, so read the piece before repeating it.
Hiring guides, salary context and role descriptions for data positions, published by a data-focused staffing firm.
From the site: As data science recruiters, we love share our insights on the process. Here's a collection of our best resources and tips for recruiters.
Why I recommend it: This is written for recruiters, not candidates — read it that way. It shows you how data roles get scoped and screened before you ever see the posting.
Free downloadable guides and checklists on adopting AI at work safely, running better meetings and improving operations — including a security checklist for AI notetakers.
From the site: Help your team adopt AI securely, improve meeting habits, and scale operational efficiency with these resources grounded in real use cases from high-performing companies.
Why I recommend it: The guides are free but most ask for an email address. Fellow sells a meeting assistant, so treat these as useful material published by a vendor with something to sell.
A breakdown of ten new AI job titles — from agent orchestration to evaluations specialists — with what each role actually does and what hiring managers screen for.
From the site: Discover the 10 fastest-growing AI roles in 2026. Learn who to hire for ethics, UX, prompt engineering, and more. Stay ahead with AI talent.
Why I recommend it: Written to help companies hire, which makes it a clear read on the titles and skills being asked for right now if you are aiming at AI work.
Question banks for more than 100 technical roles — Node.js, Azure, Golang, Kubernetes, OAuth and more — each with sample answers, updated regularly. Free to read with no sign-up.
From the site: Ready-to-use technical interview questions and structured guides for developer roles and frameworks, from Remix to Magento. Updated September 2026.
Why I recommend it: Written for the people doing the interviewing, which is exactly why it is useful — you get to see the questions and the answers they are grading against.
Technical writing on legacy modernisation, monoliths and microservices, technical debt, cloud migration and where AI coding tools break down on large old codebases.
From the site: Check out all latest posts from vFunction including modernization strategies, cloud migration best practices, and company updates.
Why I recommend it: technical rather than promotional, though vFunction sells modernization software. The pieces on AI assistants meeting million-line codebases are the honest ones.
A vetted marketplace matching senior engineers, researchers and AI specialists with companies. Free for engineers to apply and be matched; companies pay only on hire.
From the site: Hire global, AI-first engineers with Index.dev. Skip delays and scale your tech team with pre-verified, secure, and compliant talent to build faster.
Why I recommend it: Free on the candidate side — you are the product being placed. Expect a real vetting process rather than a quick apply button.
Articles on building and managing remote engineering teams, offshore hiring, and the day-to-day of software delivery — free to read.
From the site: Explore the nCube Blog for expert insights on software development, team building, and the latest tech trends. Stay updated and empower your business with knowledge.
Why I recommend it: A staffing company's blog, so it argues for hiring remote teams. Useful for understanding how distributed engineering teams actually get staffed and run.
Current openings in data engineering, analytics and data science posted by Dataspace, a staffing firm that specialises in data roles.
From the site: Browse open data science contract jobs, including data science, engineering, and analytics roles at industry-leading companies nationwide.
Why I recommend it: A niche board rather than a big one. Worth a look precisely because far fewer people are applying through it than through the giant sites.
AI assistant and agent powered by GLM-5.3-Flash. Can build websites, write code, handle long-horizon tasks and answer questions.
From the site: Meet Z.ai, the AI assistant powered by GLM-5.3-Flash. Build websites, write code, handle long-horizon tasks, and get instant answers. Fast, smart, and reliable.
Why I recommend it: Check current usage limits on site; Z.ai typically offers free access with model-rate limits and may offer paid tiers.
AI detector for ChatGPT, Gemini and Claude. Claims third-party verified accuracy for essays, articles and documents.
From the site: AI Detector for ChatGPT, Gemini & Claude — Remarkably Accurate. Detect AI-generated text in essays, articles & documents. Third-party verified results.
Global nonprofit defending and extending digital rights for everyone.
From the site: Digital rightsfor everyone. Derechos digitalespara todas. .الحقوق الرقمية للجميع Droits numériquespour tous. Access Now defends and extends the digital
Independent technology journalism founded by Jason Koebler, Emanuel Maiberg, Samantha Cole and Joseph Cox. Covers tech, AI, privacy and internet culture.
From the site: 404 Media is an independent media company founded by technology journalists Jason Koebler, Emanuel Maiberg, Samantha Cole, and Joseph Cox.
Why I recommend it: Some articles may be behind a membership paywall; the homepage and many stories are free to read.
Trade association providing news, research and information for and about the digital media industry.
From the site: News, research and information for and about the digital media industry from the trade association dedicated to digital media companies.
The Royal Institute of International Affairs, an independent policy institute based in London, publishing research on international affairs, governance and technology.
From the site: Chatham House, the Royal Institute of International Affairs, is an independent policy institute based in London. Discover what we do, visit our website today.
#governance#international affairs#policy#regulation#research#think tank
Chatham House – International Affairs Think TankAdded Sep 18, 20260 opens
PrismML builds 1-bit and ternary Bonsai models that pack advanced reasoning, tool use and multimodal AI into efficient devices and data centers.
From the site: PrismML builds 1-bit and ternary Bonsai models that pack advanced reasoning, tool use, and multimodal AI into phones, laptops, and efficient data centers.
Why I recommend it: Verify current pricing and free-tier availability on site; the homepage focuses on enterprise and developer access.
#efficient AI#1-bit models#Bonsai#multimodal#edge AI
Develops and advocates for policies that reduce the risk of severe harm from advanced AI, promoting transparency, accountability and safe development.
From the site: We develop and advocate for policies that reduce the risk of severe harm from advanced AI. Our work promotes transparency, accountability, and safe development.
HubSpot program with live sessions, workshops and networking designed to help first-generation professionals break barriers entering the tech industry.
From the site: Live sessions, workshops, and networking designed to help first-gens break barriers entering the tech industry.
The intelligent orchestration platform for DevSecOps, enabling teams and agents to ship trusted software at enterprise scale.
From the site: The intelligent orchestration platform for DevSecOps, enabling teams and agents to ship trusted software at enterprise scale.
Why I recommend it: Free tier includes unlimited public and private repositories with core CI/CD minutes; paid plans add enterprise features and more minutes.
#DevSecOps#CI/CD#developer tools#open source#enterprise#version control
Quantum and quantum-inspired AI solutions for efficient, secure and sovereign AI across cloud, data centers and edge environments.
From the site: We empower organizations to run secure, production-ready AI with tailored solutions — reducing compute costs and retaining full control across cloud, data centers and edge environments
Why I recommend it: Verify current pricing and free-tier availability; solutions are primarily enterprise-facing.
The UK AI Security Institute blog, sharing research and work to enable advanced AI governance.
From the site: View AISI research and work. The AI Security Institute is a directorate of the Department of Science, Innovation, and Technology that facilitates rigorous research to enable advanced AI governance.
Academic site of Alice Crary, philosopher at The New School for Social Research and Oxford, writing on moral philosophy, feminism, critical theory, animal ethics and the legacy of positivism.
From the site: Alice Crary, University Distinguished Professor, NSSR
Non-profit helping build the field of digital minds, supporting research and education on AI consciousness, moral status and AI minds.
From the site: PRISM is a non-profit helping to build the field of digital minds, supporting research and education on AI consciousness, moral status, and AI minds.
The DIY Data Scientist on using AI prompts to partner with AI and accelerate data-analysis impact at work. Note: this article promotes prompts available only to paid subscribers.
From the site: The capstone of each of my data analysis tutorial series is an AI prompt (available only to paid subscribers) that lets you partner with AI to accelerate your impact at work.
Why I recommend it: Added under the paid-only override. The article promotes AI prompts behind a paid Substack subscription.
#data analysis#tutorial#AI prompting#paid subscribers only
Journalism, PR, communications, social media and content jobs, searchable by role, location and beat. Free to browse and apply without an account.
Why I recommend it: Strong for media, public relations and content-marketing pivots. Many listings link straight to the employer's application page, so it's worth checking even if the headline role isn't a perfect match.
Large open encyclopedia of blockchain and crypto projects, protocols and terms.
From the site: IQ.wiki is the world's largest blockchain and crypto encyclopedia. Explore thousands of wiki articles on cryptoassets, projects, protocols, exchanges, and more.
Why I recommend it: Entries are often written by people holding the asset described, so read them for the vocabulary, not the verdict.
Database of companies, funding rounds, founders and investors.
From the site: Discover private company data, funding insights, and AI-powered predictions with Crunchbase.
Why I recommend it: Free account gives you limited searches and basic company profiles; the deeper filters are paid. Free is enough to check whether a company you are interviewing with has raised money recently.
Free archive of long interviews with scientists, writers, athletes, business founders and public figures about how their careers actually unfolded.
From the site: The Academy of Achievement brings young leaders face-to-face with the extraordinary visionaries and pioneers who have helped shape our world.
Why I recommend it: Read these when you need evidence that careers are not straight lines. The interviews are long and unedited enough to be useful rather than inspirational filler.
Stanford professor who built ImageNet, co-directs Stanford's Human-Centered AI institute and co-founded the AI4ALL diversity pipeline program. Her faculty page collects the work; her Google Scholar list has the papers themselves.
From the site: Fei-Fei Li is part of Stanford Profiles, official site for faculty, postdocs, students and staff information (Expertise, Bio, Research, Publications, and more). The site facilitates research and collaboration in academic endeavors.
Why I recommend it: Start with ImageNet if you want to understand why the last decade of AI happened when it did. Google Scholar refuses automated visits, so that link may show no picture here.
Microsoft's research division: published papers, open datasets and tools, plus its internship and residency programs.
From the site: Explore research at Microsoft, a site featuring the impact of research along with publications, products, downloads, and research careers.
Why I recommend it: The publications are free to read and the programs page lists real entry routes into research work. Both are more useful than the marketing pages.
Encyclopedia from xAI whose articles are generated by its AI models rather than written by human editors.
From the site: Grokipedia is an open source, comprehensive collection of all knowledge.
Why I recommend it: Verify anything you take from here against a second source. AI-written reference articles read confidently whether or not they are right, and its neutrality is actively disputed.
Browser-based AI tools for image, video, music and voice generation plus a chat assistant.
From the site: Artificially intelligent tools for naturally creative humans.
Why I recommend it: Free tier has daily limits on generations; a paid Pro plan raises them. Fine for trying image or voice work without installing anything.
TED talks from the author of AI Superpowers on how AI changes work and how China and the United States differ in building it.
From the site: Kai-Fu Lee has spent more than three decades at the cutting edge of artificial intelligence research, development and investment both in the US and China.
Why I recommend it: Free to watch, no account. His point about which jobs AI takes first is more specific than most, which makes it easier to test against your own work.
Large technology solutions provider; its site publishes free technical research, labs and articles alongside its own job listings.
Why I recommend it: Two uses: a big employer worth knowing about, and a source of free hands-on technical labs if you are building infrastructure skills.
Applied AI community, residency and fund running hackathons and build events, mostly in the Bay Area.
From the site: Applied AI lab, community, and VC fund empowering the world
Why I recommend it: The events are where the useful part is. Check whether anything runs online or near you before assuming you need to be in San Francisco.
MIT research group studying how digital technology and AI change work, wages and productivity, with published papers and reports.
From the site: The MIT Initiative on the Digital Economy (IDE) explores how people and businesses will work, interact, and prosper in the digital era.
Why I recommend it: This is measurement rather than prediction, which is rare in this subject. Go here when you want numbers on automation instead of opinions about it.
Free library of articles, reports and recordings from Singularity on emerging technology and business change.
From the site: Explore our comprehensive resources, including insightful videos, articles, guides and reports designed to foster an innovation mindset and leverage exponential technology in your organization. Dive into Singularity insights today to drive growth and thrive in the future.
Why I recommend it: The free resources are free to read; the courses behind them are not. Stick to this page unless you want to be sold a program.
Site of LinkedIn's co-founder: essays, podcasts and books on starting companies, careers and AI.
From the site: A hub of all my posts and essays online. I write about entrepreneurship, civics, and intellectual life.
Why I recommend it: He built the platform your professional life probably runs on, so his writing on networks is worth reading closely. He also invests in AI companies he writes about.
Essays, interviews and testimony from the former Google chief executive on AI, national competition and technology policy.
From the site: Read about new efforts that Eric Schmidt is involved in and views on critical issues shaping society today.
Why I recommend it: He invests in and advises on the industry he writes about, so read this as an interested party's argument rather than neutral analysis.
Alphabet company applying AI models to drug discovery, spun out of Google DeepMind.
From the site: Isomorphic Labs is building a future where frontier AI can help to unlock deeper scientific insights, faster breakthroughs, and life-changing medicines.
Why I recommend it: A concrete example of AI applied to something other than chat. Worth a look if you are science-trained and wondering where AI hiring is happening outside big tech.
Free search across academic papers, theses and citations, with links to full text where it is public.
From the site: Google Scholar provides a simple way to broadly search for scholarly literature. Search across a wide variety of disciplines and sources: articles, theses, books, abstracts and court opinions.
Why I recommend it: The fastest way to check whether a claim in a news article traces back to an actual paper. Set an alert on a topic and it will email you new work.
Site of the historian behind Sapiens and Nexus, with essays and talks on information technology, power and what automation does to societies.
From the site: Prof. Yuval Noah Harari is a historian, philosopher and best-selling author of 'Sapiens' and 'Homo Deus'. Discover his ideas, writing and lectures.
Why I recommend it: He writes about technology as a historian, not an engineer, which is exactly why he is worth reading next to the engineers.
AWS's own page for students and recent graduates: internships, new-grad roles and the programs it runs to fill them.
From the site: It's amazing how having a job you love has a ripple effect on the rest of your life. Whether you're just getting started or you want to take on new challenges, you have an array of opportunities to build a great future at AWS. See why AWS is the best p...
Why I recommend it: Read the timelines carefully. Big-company early-career programs often close months before the start date, so a page that looks open all year usually is not.
The actual 2004 pitch deck Reid Hoffman used to raise LinkedIn's Series B, with his annotations explaining each slide.
From the site: At Greylock, my partners and I are driven by one guiding mission: always help entrepreneurs. It doesn’t matter whether an entrepreneur is in our portfolio, whether we’re considering an investment, or whether we’re casually meeting for the first time.
Why I recommend it: One of the few real pitch decks published with the reasoning attached. Read the annotations more than the slides — they show what a room of investors was actually asking.
Open wiki encyclopedia covering computing, science and technology topics, edited collaboratively.
From the site: HandWiki is a wiki encyclopedia for collaborative editing of articles on computing, science, technology and general knowledge. Registered users can post and edit articles, books, manuals and tutorials. Login or request account using the top-right menu. We strongly encourage editors to use their real...
Why I recommend it: Useful as a starting point on a technical term, not as a citation. Open wikis vary in quality article to article — follow its sources.
Deep learning pioneer and Turing Award winner, now focused on AI risk. His site holds papers, talks and written positions; his Google Scholar list has the full publication record, most-cited first.
From the site: Yoshua Bengio is Full Professor of Computer Science at Université de Montreal, Co-President and Scientific Director of LawZero, as well as the Founder and Scientific Advisor of Mila. He also holds a Canada CIFAR AI Chair.
Why I recommend it: One of the three people whose work made modern AI possible, who now spends much of his time arguing it needs guardrails. Read him alongside people who disagree.
Open source framework for building AI agents, free to clone and run yourself.
From the site: Open source agentic operating system. Contribute to elizaOS/eliza development by creating an account on GitHub.
Why I recommend it: Free and open source. Clone it and run one agent locally if you want to understand what an agent framework actually does rather than take a vendor's word for it.
Open wiki of biographies and company profiles, edited by contributors.
Why I recommend it: Many entries here are written by or for their subject, so read them as self-description. Check claims elsewhere before repeating them.
Company building thermodynamic computing hardware it claims is far more energy efficient than GPUs.
From the site: Building thermodynamic computing hardware that is radically more energy efficient than GPUs.
Why I recommend it: The energy cost of AI is becoming the constraint, and this is one bet on solving it in hardware. The efficiency claims are the company's own and unproven at scale.
Site of the DeepMind co-founder now running Microsoft AI, with his writing on AI and containment.
From the site: Personal site of Mustafa Suleyman, AI pioneer and author.
Why I recommend it: He runs a major AI business and writes about restraining AI. Both things are true at once, which is worth holding in mind while reading.
News and analysis on education technology, workforce development and AI in learning.
From the site: EdTech Innovation Hub delivers cutting-edge news, analysis, and insights on AI, workforce development, and EdTech for schools, colleges, universities, and professionals. Explore the latest in e-learning, digital tools, and trends shaping education, workforce training, and professional growth worldwi
Why I recommend it: A useful beat if you work in training or are moving into it — it covers the buying side of learning tools, which is where the jobs are.
Microsoft's own announcements and positions on AI, work and policy.
Why I recommend it: This is the company speaking for itself, which makes it a primary source and an advertisement at the same time. Useful for knowing what it is committing to publicly.
Daniel Kokotajlo's research blog on what a world with very capable AI might look like, including the AI 2027 scenario work.
From the site: Preparing for a world with AGI. Click to read AI Futures Project, by Daniel Kokotajlo, a Substack publication with tens of thousands of subscribers.
Why I recommend it: This is forecasting, not measurement — treat it as a well-argued guess. Useful for the questions it raises rather than the dates it puts on them.
Venture firm's blog on building companies: hiring, product, go-to-market and AI, written by its partners and founders.
From the site: News & insights from Greylock — portfolio news, Greymatter essays, and firm news.
Why I recommend it: Written to attract founders, so it is optimistic about starting things. The operational posts on hiring and early product are the practical ones.
Montreal research institute founded by Yoshua Bengio: publications, research teams, and programs for students and visiting researchers.
From the site: Mila is a Montreal-based artificial intelligence research institute that brings together researchers from Université de Montréal, McGill University, Polytechnique Montréal and HEC Montréal.
Why I recommend it: Check the students and programs pages if you want to move toward research work. Academic institutes publish their entry routes more openly than companies do.
Open project documenting notable people and the data behind who gets recorded as notable.
Why I recommend it: Interesting for what it reveals about whose lives get written down. Coverage is patchy, so treat gaps as gaps in the record rather than in reality.
Site of the XPRIZE and Singularity founder: newsletters, podcasts and talks on exponential technology and longevity.
From the site: Founder of XPRIZE and pioneer in exponential technologies. Building a world of Abundance through innovation, longevity, and breakthrough ventures.
Why I recommend it: Relentlessly optimistic by design — he is selling a worldview as well as describing one. Read for the trends he spots, discount the certainty.
Project from the Foresight Institute collecting expert interviews, essays and worldbuilding on plausible good long-term futures rather than only the risks.
Why I recommend it: A deliberate counterweight if the safety reading has left you gloomy. It is advocacy for optimism, so read it as a position, not a finding.
Berkeley faculty page for Anca Dragan, robotics and human-AI interaction researcher who also leads AI safety and alignment work at Google DeepMind.
From the site: Associate Professor, Division of Computer Science (EECS) — Anca Dragan is an Associate Professor in the EECS Department at UC Berkeley. Her goal is to enable robots to work with, around, and in support of people. She runs the InterACT Lab, where they focus on algorithms for human-robot interaction -- algorithms that m…
Why I recommend it: One of the few people working on alignment from the robotics side, where the system has to act in the real world. Her publication list is the useful part.
Workplace and tech news site covering AI, careers, startups and hiring, with a focus on the Indian tech industry.
From the site: OfficeChai is India’s top platform dedicated to the workplace, office buzz and Indian business. We profile interesting startups, feature inspiring career stories, break news from the corporate world, and provide a glimpse of the work culture at top organizations. - See more at: https://officechai.com/about/#sthash.deB…
Why I recommend it: Useful for AI hiring and workplace stories that Western outlets skip. Short posts, so treat them as pointers.
Cambridge research centre studying risks that could threaten humanity's long-term future, with open papers, seminars and policy submissions.
From the site: We study existential and global catastrophic risks & foster a worldwide community of academics, technologists and policy-makers working to mitigate these risks.
Why I recommend it: Academic and careful. Their reading lists and seminar recordings are the fastest way into the field's actual literature.
Non-profit working on risks from advanced technology, publishing policy work, the AI Safety Index, open letters and a large free podcast and newsletter archive.
From the site: FLI works on reducing extreme risks from transformative technologies. We are best known for developing the Asilomar AI governance principles.
Why I recommend it: Their AI Safety Index is the most readable scorecard of what the big labs actually do about safety. They campaign, so read the policy pages as arguments.
Personal site of Andrew Ng, co-founder of Coursera and DeepLearning.AI and a founding lead of Google Brain, collecting his courses, writing and current projects.
From the site: Andrew Ng has helped millions of people learn AI. Founder of DeepLearning.AI, AI Fund, and LandingAI. Co-Founder of Coursera. Board Director at Amazon.
Why I recommend it: His teaching is the cheapest serious on-ramp into machine learning that exists. Start from the courses list rather than the news.
Personal site of Andrew Critch, mathematician and AI safety researcher, collecting his papers, talks and writing on multi-agent risk and existential safety.
Why I recommend it: Denser than most safety writing and worth the effort. Note the site refuses automated visits, so the picture here may be a screenshot.
Fellowship program funding researchers working on the hard problems of making AI beneficial by 2050, with an open list of fellows and their projects.
From the site: It's 2050. AI has turned out to be hugely beneficial to society. What happened? What are the most important problems we solved and the opportunities and possibilities we realized to ensure this outcome? This is AI2050’s motivating question.
Why I recommend it: Even if you are not applying, the fellows list is a good map of who is doing serious work in which subfield.
Free library of work-management guides, templates and articles on project planning, goal setting, meetings and team communication.
From the site: Find work and project management tips for all levels. Discover work management resources and solutions to help your team work together more effectively.
Why I recommend it: useful even if you never use their product — the templates and the writing on running projects are free and account-free.
Non-profit with free research on where donations do the most good, plus a public pledge community and evaluations of charities and causes.
From the site: 100x your impact by finding and donating to the best charities. Learn about high-impact philanthropy, join an effective giving community, take a giving pledge.
Why I recommend it: Their cause research is a good model of reasoning under uncertainty, whether or not you pledge. Nothing is paywalled.
Personal site of Adam Gleave, CEO and co-founder of the AI safety research lab FAR.AI, with his papers and writing on making models robust and evaluable.
From the site: Adam Gleave is the CEO of FAR.AI, an alignment research non-profit. His research interests include adversarial robustness and value learning.
Why I recommend it: Useful if you want the research side of AI safety rather than the commentary side. Papers first, opinions second.
News and recorded-talk archive from Berkeley's Simons Institute for the Theory of Computing, covering theory, cryptography and the maths under machine learning.
Why I recommend it: The recorded talks are free and often better than the paper. Skim the archive by program rather than by date.
Department site for one of the birthplaces of modern deep learning, with faculty pages, open research groups and course listings.
From the site: The University of Toronto
Why I recommend it: Where Hinton's group worked. Useful for finding the original papers and the people still there, rather than for courses you can enrol in.
Collection of free web tools for social and content marketing — post generators, hashtag and bio helpers, and analytics calculators — usable without an account.
From the site: Explore the free AI tools- copilot, caption generator, content rewriter, meta‑tag creator & more - built for PMs, creators, marketers, elevate your social presence today.
Why I recommend it: The free tools do work with no sign-up, but they exist to sell the paid product, so expect prompts. Fine for a quick draft, not a strategy.
Substack from historian Rutger Bregman on moral ambition and doing work that matters, aimed at people considering a career built around impact.
From the site: Historian | Author of ‘Moral Ambition’ (2025), ‘Humankind’ (2020) and ‘Utopia for Realists’ (2014) | Co-founder of The School for Moral Ambition. Click to read Rutger Bregman, a Substack publication with tens of thousands of subscribers.
Why I recommend it: Directly relevant if you are rethinking what your career is for. It argues a position hard; take the questions, not the prescriptions.
Non-profit research organisation working on theoretical alignment and on evaluations that test what frontier models are capable of, with public reports.
From the site: ARC is a non-profit research organization whose mission is to align future machine learning systems with human interests.
Why I recommend it: Their evaluations work is why "dangerous capability testing" is now a normal phrase. Read the reports, they are short.
Non-profit AI safety research lab publishing technical work on model robustness and evaluation, plus events and a fellowship pipeline for researchers entering the field.
From the site: FAR.AI is an AI safety nonprofit advancing technical research across robustness, deception, and red-teaming to ensure AI systems remain safe and beneficial.
Why I recommend it: Look at their fellowships and events pages, not just the papers — that is where the actual entry points are.
Engineering and technology news site covering AI, energy, space and hardware, free to read with an optional paid ad-free tier.
From the site: Explore Interesting Engineering for cutting-edge articles, news, and insights on technology, innovation, and the future of engineering worldwide.
Why I recommend it: Broad and fast-moving, sometimes breathless. Fine for spotting stories, worth checking the original source before repeating one.
Google Scholar profile listing Geoffrey Hinton's papers in citation order — backpropagation, dropout, AlexNet, t-SNE and the rest of the deep learning canon.
From the site: Emeritus Prof. Computer Science, University of Toronto - Cited by 1.089.325 - machine learning - psychology - artificial intelligence - cognitive science - computer science
Why I recommend it: The single best index of the papers that made current AI work. Sort by year to see the ideas arrive. Scholar blocks automated visits, so the picture may be a screenshot.
DeepSeek's chat assistant. Free tier gives unlimited messages and file uploads on a daily-reset quota; no payment required. One of the most significant free AI releases of the past two years.
Why I recommend it: Worth trying on reasoning-heavy work and long documents. Note it is a Chinese service — read its data terms before pasting anything confidential.
Mistral AI's assistant: web search with citations, document and image analysis, image generation and task agents. Free tier is generous; a paid tier with higher service guarantees is planned but not needed to use it.
Why I recommend it: Good second opinion when you want sourced answers with citations you can click through and check.
Google's image generation and editing model, built into the Gemini app. Free tier has daily usage limits; paid Gemini plans raise them.
From the site: Avec Nano Banana 2, le générateur d
Why I recommend it: Best of the free image tools for editing a picture you already have rather than starting from nothing — useful for slide graphics and profile images.
Official news from CERN, the European particle physics laboratory: accelerator and experiment updates, computing and engineering write-ups, and knowledge-sharing pieces, filterable by topic and audience (general public, students, educators, policymakers). Free to read, no account.
Why I recommend it: Worth following if you want technology news written by the people doing the work rather than by a tech press cycle. The Computing and Knowledge sharing topics are the useful filters for a career audience — CERN publishes plainly about large-scale computing, data handling and open-source work, and the writing is aimed at non-specialists.
Open-source workspace from Block where a team and its AI agents share the same room — chat, planning, project tracking, code and pull requests in one place, with agents you configure for your own workflows. Currently a developer preview; the app is open source on GitHub, with a waitlist for a paid enterprise version.
From the site: Come test the early stages with us.
Why I recommend it: Early-stage, so treat it as something to try rather than to run a team on. The interesting part is watching how human-plus-agent teamwork gets designed — useful reading if you want to talk credibly about agents at work. The open-source app is free to run yourself; the enterprise version will be paid, and there is no published price yet.
The US government's voluntary framework for identifying and managing AI risk, plus its playbook of concrete practices. Free.
Why I recommend it: The one your employer's legal team is most likely already citing. Useful vocabulary if you want to raise AI risk at work and be taken seriously.
Microsoft's open-source toolkit for red-teaming AI systems: automated attack prompts, scoring of the responses, and repeatable runs. Free.
From the site: The Python Risk Identification Tool for generative AI (PyRIT) is an open source framework built to empower security professionals and engineers to proactively identify risks in generative AI system...
Why I recommend it: Built by the team that red-teams Microsoft's own AI products, and released as-is. Best paired with a written idea of what you are testing for.
The 2016 paper that framed AI safety as a set of specific engineering problems — side effects, reward hacking, unsafe exploration — rather than a philosophical worry. Free on arXiv.
From the site: Rapid progress in machine learning and artificial intelligence (AI) has brought increasing attention to the potential impacts of AI technologies on society. In this paper we discuss one such potential impact: the problem of accidents in machine learning systems, defined as unintended and harmful behavior that may emer…
Why I recommend it: Start here if the safety conversation sounds abstract. It is plain about what can go wrong and why, and almost everything since cites it.
A free structured course in AI alignment and AI governance — readings, exercises and facilitated cohorts. Self-paced version free to anyone.
From the site: Free online courses, grants, and intensive in-person programs from the leading talent accelerator for beneficial AI and societal resilience. Join 10,000+ alumni and start today.
Why I recommend it: The usual route in for people trying to move into safety work. The reading list alone is worth the visit even if you never join a cohort.
A short consensus paper from Geoffrey Hinton, Yoshua Bengio and two dozen other researchers on the risks they consider serious and the governance they think is needed. Free on arXiv.
From the site: Artificial Intelligence (AI) is progressing rapidly, and companies are shifting their focus to developing generalist AI systems that can autonomously act and pursue goals. Increases in capabilities and autonomy may soon massively amplify AI's impact, with risks that include large-scale social harms, malicious uses, an…
Why I recommend it: The clearest statement of what the safety-concerned researchers actually agree on, signed rather than paraphrased.
A structured survey of the risks — malicious use, competitive pressure, organizational failure, and systems pursuing goals of their own — with the evidence for each. Free to read.
From the site: There are many potential risks from AI. CAIS focusses on mitigating risks that could lead to catastrophic outcomes for society, such as bioterrorism or loss of control over military AI systems.
Why I recommend it: The best single map of the different worries, which are usually mashed together into one. Written by a safety organization, so read it as advocacy with citations.
An open-source framework from the UK's AI Security Institute for evaluating models — writing tests, scoring answers and logging what happened. Free.
From the site: Open-source framework for large language model evaluations
Why I recommend it: What a government safety institute actually uses to test models. Technical, but the docs explain the thinking behind each kind of test.
Yann LeCun's position paper arguing that today's language models are the wrong architecture, and sketching what he thinks should replace them. Free to read.
Why I recommend it: The serious technical case against scaling language models further. Dense, but it is the argument itself rather than a summary of it.
An open-source scanner that probes a language model for weaknesses — prompt injection, data leakage, jailbreaks, toxic output — and reports what it found. Free.
From the site: the LLM vulnerability scanner. Contribute to NVIDIA/garak development by creating an account on GitHub.
Why I recommend it: Point it at a model you are about to rely on and see how it fails before your users do.
An open-source library of metrics and algorithms for finding and reducing unwanted bias in datasets and models, in Python and R. Free.
From the site: A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models. - Trusted-AI/AIF360
Why I recommend it: For the harm that shows up in ordinary systems long before anything dramatic does — hiring screens, lending, scoring. Measuring bias is the easy half; deciding what fair means is yours.
A detailed scenario for how AI might develop through 2027, written by former OpenAI researcher Daniel Kokotajlo and colleagues, with the reasoning and uncertainties spelled out. Free to read in full.
From the site: A research-backed AI scenario forecast.
Why I recommend it: The forecast everyone in this field argued about. Read it as one carefully argued scenario, not a prediction — the authors say as much themselves.
An open-source tool for testing and red-teaming prompts and AI apps — run the same prompts across models, compare answers, and catch regressions. Free and self-hosted.
From the site: The AI Security Platform that catches vulnerabilities in development. Trusted by 156 of the Fortune 500 and 300,000+ developers worldwide.
Why I recommend it: The practical one: if you have built anything on top of a model, this is how you check a prompt change did not quietly make it worse.
Anthropic's paper describing how Claude is trained against a written set of principles instead of relying only on human ratings. Free on arXiv.
From the site: As AI systems become more capable, we would like to enlist their help to supervise other AIs. We experiment with methods for training a harmless AI assistant through self-improvement, without any human labels identifying harmful outputs. The only human oversight is provided through a list of rules or principles, and s…
Why I recommend it: Worth reading to see what "aligned" means in practice at one lab — and note it comes from the company selling the model.
Anthropic's AI assistant. Strong at long writing, reading documents you paste in, analysis and coding help. Free tier with daily limits; paid plans lift them.
From the site: Claude is Anthropic
Why I recommend it: The one I reach for when the task is writing or thinking through a document. Check anything factual yourself — it can be confidently wrong.
Google's AI assistant, wired into Gmail, Docs and the rest of Workspace, so it can work on files you already have. Free tier; paid plans add the larger models.
Why I recommend it: Worth it mainly if your work already lives in Google Docs and Gmail — that integration is the real advantage.
Research-grade tracking of what AI models can do and how that has changed over time, with the data and methods published. Free.
From the site: Our hub for benchmark results, featuring the performance of leading AI models on challenging tasks. It includes results from benchmarks administered internally by Epoch AI as well as data collected from external sources. Explore trends in AI capabilities across time, by benchmark, or by model.
Why I recommend it: For the longer view rather than this week's launch — they show their working, which most leaderboards do not.
Meta's assistant, built into Instagram, WhatsApp and Facebook, plus its own site. Free.
Why I recommend it: Handy for drafting captions and replies inside the apps you are already posting from. Weaker than the others on long or careful work.
xAI's assistant, built into X, with access to current posts and news as they happen. Limited free use with an X account; higher limits on paid tiers.
From the site: Grok is an AI assistant built by SpaceXAI. Chat, create images, write code, and get real-time answers from the web and X.
Why I recommend it: Useful when you need what is being said right now rather than a considered answer. Its live sources are public posts, so treat them as claims, not facts.
Independent benchmarking of the major AI models on speed, price and quality, with the numbers side by side. Free to read.
From the site: Comparison and analysis of AI models and API hosting providers. Independent benchmarks across key performance metrics including quality, price, output speed & latency.
Why I recommend it: Where I check what a model actually costs per million words before believing a "cheap" claim.
Head-to-head model comparisons voted on by the public: you see two anonymous answers to the same prompt and pick the better one, and the rankings come from those votes. Free.
From the site: Chat, compare, vote for the world's best AI models. Join the community shaping the public leaderboard for LLMs, image, and code models through real-world evaluation.
Why I recommend it: The closest thing to a fair fight between models on ordinary prompts, instead of marketing claims. Votes are taste as much as accuracy, so read it as popularity with a purpose.
Microsoft's AI assistant, built into Windows, Word, Excel and Outlook. Free to use in the browser and on Windows; the Office integration needs a paid plan.
From the site: Microsoft Copilot is your companion to inform, entertain and inspire. Get advice, feedback and straightforward answers. Try Copilot now.
Why I recommend it: If your employer runs on Microsoft 365, this is the assistant you will actually be allowed to use at work.
A reading layer over Wikipedia: cleaner article pages, hover previews, timelines, and a chat that answers only from the Wikipedia article you are reading and the articles it links to, with every answer linked back to its source.
Why I recommend it: Useful precisely because it refuses to answer from anywhere but Wikipedia — you can check every claim. Still Wikipedia underneath, so treat it as a starting point, not a citation.
A long-running technology news publication with careful, technical reporting on computing, science, policy and security — deeper than most tech headlines and clear about what is known versus claimed.
From the site: News and reviews, covering IT, AI, science, space, health, gaming, cybersecurity, tech policy, computers, mobile devices, and operating systems.
Why I recommend it: One of the few tech outlets that reads a filing or a paper before writing about it. Free to read, with an optional paid subscription that removes ads.
An open-source, self-hosted search engine that queries other engines without tracking you or building a profile. AGPL licensed.
From the site: SearXNG is a free internet metasearch engine which aggregates results from various search services and databases. Users are neither tracked nor profiled. - searxng/searxng
Why I recommend it: Useful if you research employers a lot and would rather not have that history tied to an account.
An open-source drop-in replacement for the OpenAI API that runs models on your own hardware, including CPU-only machines. MIT licensed.
From the site: LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required. - mudler/LocalAI
Why I recommend it: Point existing code at your own server instead of a paid API — no code changes beyond the address.
An open-source desktop and self-hosted app that lets you chat with your own documents using local or hosted models. MIT licensed.
From the site: Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience - Mintplex-Labs/anything-llm
Why I recommend it: Point it at your own files — job descriptions, notes, contracts — and ask questions of them without uploading anything to a company.
An open-source platform for building and running AI apps and agents, with a hosted option and a full self-hosted Docker install.
From the site: Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without ...
Why I recommend it: More structure than a chat window: prompts, data and logs kept in one place. Start with their Docker install and one small app.
A visual workflow tool for connecting apps and AI models — source-available, and free to run on your own server. Their hosted plans are paid.
From the site: Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations. - n8n-io/n8n
Why I recommend it: This is how you automate the boring parts of a job hunt or a small business without writing code. Note the license is source-available, not fully open source.
A self-hosted, open-source chat interface for local or hosted models — chat history, documents, multiple users. Works on top of Ollama or any OpenAI-compatible API.
From the site: User-friendly AI Interface (Supports Ollama, OpenAI API, ...) - open-webui/open-webui
Why I recommend it: If you like the ChatGPT window but not the subscription, this is that window running on your own machine.
Open-source software that downloads and runs open AI models on your own computer, with a single command and an OpenAI-compatible local API. MIT licensed.
From the site: Ollama is the easiest way to automate your work using open models, while keeping your data safe.
Why I recommend it: The easiest honest way to use AI privately — nothing you type leaves your machine. Start with a small model before you judge the speed.
An application form to present your work to The Shortlist's hiring network — for candidates who want to be seen by employers, and for companies who want to hire from the same pool.
From the site: Made with Tally, the simplest way to create forms.
Why I recommend it: A short form, so it costs you ten minutes. Write the answers as if a hiring manager reads only those — no CV attached to hide behind.
The National Association of Colleges and Employers' free library on career readiness — the eight competencies employers say they screen for, plus assessments and guides.
From the site: NACE members share resources they have developed to communicate with college students and others about how to develop key competencies, known as the NACE Career Readiness Competencies, needed to be considered ready for the workforce.
Why I recommend it: This is where the "career readiness competencies" language in graduate job descriptions comes from — worth reading so you can mirror it back. Paywall note: the competency pages linked from here are free, but NACE's survey data, salary reports and full Job Outlook editions require paid membership — stick to the free material unless your school already has a membership.
Research and commentary on hiring, skills and the labour market from Four One Insights, free to read.
From the site: Explore thought leadership on workforce trends, emerging technologies, and skills development with FourOne Insights. Stay informed on the latest industry insights.
Why I recommend it: Analysis from a firm that sells into hiring teams, so read the recommendations with that in mind.
Sponsors for Educational Opportunity's answers on who qualifies, what the application asks for and how the interview process runs for its free career program for underrepresented students.
From the site: SEO USA CAREER | Apply & FAQ | An internship with SEO Career can change your life. Find out if you qualify and apply.
Why I recommend it: Read the FAQ before the application form — it tells you what the interview actually tests, which is not what the form implies.
NASA's official Pathways program: paid internships, recent-graduate placements and fellowships across every NASA centre, with conversion to permanent federal roles for students who complete the program.
From the site: Spring 2027 Pathways Internship applications will open on September 21, 2026, and close on September 25, 2026. Spring 2027 internships will begin January 25,
Why I recommend it: Federal hiring runs on its own calendar — Pathways openings post on USAJOBS in short windows, so check this page monthly rather than once.
OpenAI's free framework for how misaligned model behaviour should be reported and categorised — what counts as misalignment, who reports it, and what happens next.
From the site: OpenAI shares a framework for tracking, investigating, and disclosing model misalignment, alongside six reports of unexpected or concerning model behavior.
Why I recommend it: Primary source on how a major lab defines and handles its own model failures — useful, but it is the lab grading itself.
Glassdoor research on "stability stacking" — how millennials are combining roles, side income and benefits to build job security in an unstable market.
Why I recommend it: Useful numbers to cite when you are explaining your own patchwork career history in an interview.
Free, well-written documentation and tutorials for building and hosting sites, APIs and AI workers — one of the better free places to learn modern web infrastructure.
From the site: Connect, protect, and build everywhere.
Why I recommend it: Free docs with working examples. A good self-teaching path if you want infrastructure skills on your resume.
A research nonprofit that independently evaluates frontier AI models to measure what they can actually do and what risks that creates. Reports are free.
From the site: METR is a research nonprofit that evaluates frontier AI models to inform the public about their risks and capabilities.
Why I recommend it: One of the few independent evaluators. Read their reports before you trust a lab's own capability claims.
A research institute publishing free books, articles and policy analysis on economics, technology and civil liberties from a market-liberal perspective.
From the site: Explore Independent Institute’s latest research, articles, and insights on policy, liberty, and economics. Stay informed with expert analysis and innovative solutions.
Why I recommend it: Openly ideological — read it alongside sources that argue the other side.
A hands-on write-up of wiring Google's open Gemma 4 model into the Codex command-line coding agent so it runs locally instead of calling a hosted API.
From the site: I wanted to know whether Gemma 4 could replace a cloud model for my day-to-day agentic coding. Not in theory, in practice. I use Codex CLI…
Why I recommend it: Useful if you want to try coding agents without paying per token — local models are slower, but free and private.
Eliezer Yudkowsky's collected essays on reasoning, bias and AI risk, free to read online in full.
From the site: Between 2006 and 2009, senior MIRI researcher Eliezer Yudkowsky wrote several hundred essays for the blogs Overcoming Bias and Less Wrong, collectively called
Why I recommend it: Long, opinionated and free. Read it for the thinking habits, not as settled fact.
A free, open-source AI coding agent for VS Code, JetBrains, the command line and the cloud, with support for local models and your own API keys at no markup.
From the site: Kilo is the open source AI coding agent for VS Code, JetBrains, CLI, and Cloud. Access 500+ models, bring your own keys at zero markup, and keep code private with local models.
Why I recommend it: Open source and free to install — you only pay a model provider if you choose a hosted one.
A free newsletter explaining ideas in AI in plain English — mostly what and why, a little how.
From the site: Ideas in AI, preferably in English. Mostly what and why, a little how. Click to read Very Sane AI Newsletter, by SE Gyges, a Substack publication with thousands of subscribers.
Why I recommend it: A good weekly read if you want to understand AI without the hype or the math.
Robin Hanson's long-running blog on why we believe and do what we do, and what our descendants might do — free to read.
From the site: This is a blog on why we believe and do what we do, why we pretend otherwise, how we might do better, and what our descendants might do, if they don't all die. Click to read Overcoming Bias, by Robin Hanson, a Substack publication with tens of thousands of subscribers.
Why I recommend it: Deliberately contrarian. Useful for pressure-testing your own assumptions.
A free explorer for new arXiv research with plain-language paper summaries, topic pages and video overviews, so you can follow AI research without reading raw papers.
From the site: Your first stop to discover and learn about new arXiv research. Detailed paper summaries, video overviews, and more — no prompting required.
Why I recommend it: The fastest way I know to keep up with AI research when you are not a researcher. Free to browse.
The central free hub for effective altruism — essays, career guidance and research on how to do the most good with your time and money.
From the site: Effective altruism is a philosophy and a movement that asks the question: how can we do the most good with our time, money, and resources?
Why I recommend it: useful career thinking here, and a movement with real critics — read both.
A plain-language explainer on RLCD, a way of aligning language models by learning from contrasting outputs rather than human ratings alone.
From the site: RLCD is a method developed to adjust language models to human preferences without using human feedback data. This approach aims to address…
Why I recommend it: Good background reading if you want to understand how the models you use are actually steered.
A free ebook walking through reinforcement learning from the basics to RLHF, written for practitioners rather than researchers.
From the site: Reinforcement learning (RL) is transforming how reliable AI agents are trained and deployed. Discover real-world use cases, efficiency techniques like LoRA, and practical patterns you can apply today.
Why I recommend it: Free download in exchange for an email address. Solid grounding if you keep seeing "RLHF" and nodding along.
The standard free Python distribution for data and AI work — package management, notebooks and thousands of libraries in one install.
From the site: Anaconda is the trusted foundation for AI-native development. Secure, orchestrate, and accelerate data and AI at scale, from first experiment to production.
Why I recommend it: Free for individual use. If you are learning Python for data work, this saves you a week of setup pain.
Investigative reporter Yael Grauer writes on privacy, security, surveillance and the craft of tech journalism.
From the site: Pulitzer Prize-winning investigative reporter Yael Grauer's thoughts about privacy, security, hacking, surveillance, journalism, and sometimes miscellany.
Why I recommend it: Worth following if you care about surveillance and privacy work, or want to see how a reporter builds those stories.
The Verge's technology section: daily reporting on the companies, products and policies shaping the industry.
From the site: The latest tech news about the world’s best (and sometimes worst) hardware, apps, and much more. From top companies like Google and Apple to tiny startups vying for your attention, Verge Tech has the latest in what matters in technology daily.
Why I recommend it: Free to read and readable. Good for keeping current on the companies you might interview with.
A company building governed, verifiable agentic infrastructure for enterprise systems, with free research and publications on its site.
From the site: Emergence builds mission-critical agentic infrastructure for enterprise. Verified, governed AI agents that plan, reason, and act across the most complex systems.
Why I recommend it: Their research and reports are free to read; the platform itself is an enterprise product, so treat the writing as the resource here.
A self-hosted, MIT-licensed AI agent with persistent memory that builds skills over time and reaches you on Telegram, Discord and other channels.
From the site: Self-hosted AI agent that remembers your projects, builds skills automatically, and reaches you on Telegram, Discord & more. MIT license. No tracking.
Why I recommend it: Free and open source, and it runs on your own machine — worth a look if you don't want your project context sitting on someone else's server.
A free, open-source AI coding agent that runs in your terminal, works with multiple model providers and can be installed with a single command.
From the site: OpenCode - The open source coding agent.
Why I recommend it: Free and open source, so you can point it at whichever model you already have access to instead of paying for another subscription.
A free, open-source tool for running and monitoring multiple AI coding agents from one place, with a plugin ecosystem and documentation for the agent CLIs it supports.
From the site: Run them anywhere. Leave them running. Herdr holds real terminals open so your agents keep working when you close the laptop, and gets you back in from any tty.
Why I recommend it: Open source with an active plugin community — useful if you are experimenting with more than one AI coding tool.
GitHub's free article library explaining version control, DevOps, CI/CD, security practices and AI-assisted development in plain terms.
From the site: GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.
Why I recommend it: Good plain-English explainers for the terms that show up in job descriptions — read the DevOps and CI/CD ones before an interview.
The institute behind the Millennium Prize Problems, with free lecture videos, published proofs, historical mathematics archives and details of its research programmes.
Why I recommend it: Free access to serious mathematics — the lecture library alone is worth bookmarking if you are studying or teaching math.
A long-running peer-reviewed, fully open-access journal on the internet and society — platform power, digital labour, privacy, AI governance and online community research.
From the site: First Monday is one of the first openly accessible, peer–reviewed journals on the Internet, solely devoted to the Internet.
Why I recommend it: Free peer-reviewed research with no paywall — a good citation source when you need something stronger than a blog post.
Ketan Joshi's free analysis picking apart the claims in an industry report on AI and climate, showing where the energy and emissions figures do not hold up.
From the site: What does the real climate footprint of the biggest company on the planet look like? It's a good question, but here's a better one: why don't we already know the answer?
Why I recommend it: A worked example of how to read an industry report critically — useful skill well beyond this topic.
A free searchable database of funded PhD positions, studentships and research masters worldwide, with funding details, deadlines and supervisor contacts.
Why I recommend it: Free to search and filter by funding — use the funded-only filter so you are not applying to positions you would have to pay for.
The official free React docs, including the interactive "Learn React" course that teaches components, state and hooks from scratch with in-browser exercises.
From the site: React is the library for web and native user interfaces. Build user interfaces out of individual pieces called components written in JavaScript. React is designed to let you seamlessly combine components written by independent people, teams, and organizations.
Why I recommend it: If you want to build web interfaces, start with the official tutorial rather than a paid bootcamp — it is free and better maintained.
Google's free step-by-step tutorials for building and publishing a browser extension, from a first "hello world" to using storage, scripting and the side panel.
From the site: All the basics to get started with Chrome extensions
Why I recommend it: A small extension is one of the fastest portfolio projects you can actually finish and show someone.
Eliezer Yudkowsky's free novel-length story teaching scientific reasoning, cognitive bias and decision-making through fiction; widely read as an entry point to rationality writing.
Why I recommend it: An unusual entry, but it is free and it teaches how to test your own reasoning better than most textbooks.
A free platform for organising practical support around illness, bereavement, new babies or job loss — meal schedules, care calendars, wishlists and updates in one shared page.
From the site: Set up a Give InKind Page to coordinate support from anywhere. Create a Care Calendar, add items to your Wishlist and connect your Crowdfunding - all for free.
Why I recommend it: Free to use and useful during a hard stretch — worth knowing about before you need it, whether for yourself or a colleague.
MIT's combined catalogue of courses, programs and open learning materials across every department, with a filter for the free ones and for those offering certificates.
Why I recommend it: Use the "Free" filter first — there is an enormous amount of MIT teaching material at no cost, including full lecture notes and video.
A free academic paper examining whether effective altruism's focus on individual giving overlooks institutional and political change as the larger lever.
Why I recommend it: Useful counterweight if you have read the pro-EA material — it argues the case from inside academic philosophy rather than online debate.
Free public documentation explaining how an autonomous AI software engineer plans, runs and reviews coding work, including its limits and where human review is required.
From the site: Devin is the AI software engineer, built to help ambitious engineering teams crush their backlogs.
Why I recommend it: The product costs money but the docs are free — read them to understand what "AI engineer" tools actually do and do not do before anyone tells you your job is gone.
A large free archive of practitioner-written tutorials and explainers on machine learning, statistics, data engineering and AI, from beginner to advanced.
Why I recommend it: Quality varies by author, but the beginner explainers are among the easiest free routes into data work.
Mike Masnick's influential free essay arguing that open protocols, rather than centrally moderated platforms, are the durable answer to online speech problems.
Why I recommend it: One of the most cited pieces on platform power — read it before joining any debate about content moderation.
A free daily briefing on the AI economy — funding, regulation, model releases and safety incidents, summarised with links to primary sources.
From the site: Superpower Daily covers the AI economy with concise daily stories on models, products, agents, startups, business, infrastructure, policy, and culture.
Why I recommend it: Fast way to stay current without living on social media; the regulation items are the ones worth reading closely.
Independent, free benchmarks testing leading AI models on real-world finance, software, science and safety tasks, with cost and latency alongside accuracy.
From the site: Private, domain-specific benchmarks in legal, tax, and finance.
Why I recommend it: When someone claims a model is "the best," check here — these are independent evaluations, not vendor marketing.
Free, MIT-licensed Python library and documentation for applying AI to satellite and geospatial data, with tutorials, notebooks, a QGIS plugin and video walkthroughs.
From the site: A Python package for using Artificial Intelligence (AI) with geospatial data
Why I recommend it: A free, well-documented open-source project — a good portfolio path if you want to work in mapping, climate or remote sensing.
Free essays on startups, hiring, productivity and ambition from OpenAI's CEO, including the widely read "How to Be Successful" and startup playbook posts.
Why I recommend it: Dated in places but still one of the clearest free reads on early-stage company building.
Research commentary from the UK's national institute for data science and AI, covering AI safety, public-sector deployment, health data and the social impact of automated systems.
Why I recommend it: Solid, evidence-based writing on AI policy — a useful counterweight to vendor blogs.
A free self-assessment that maps your current Linux, cloud and automation skills against Red Hat's role paths and points you to the training and certifications that close the gaps.
Why I recommend it: Take this before you pay for any cloud certification — it tells you where you actually stand and what to study first.
Engineering and policy writing from Palantir on data platforms, government deployments, defence technology and how the company approaches privacy controls.
Why I recommend it: Read it critically — it is a company blog on a contested subject, which makes it useful primary material for understanding the industry's own arguments.
Announcement explaining why the Rune IDE was rebuilt from first principles in Go and released under the GPLv3, including a contributor program that shares revenue with outside contributors.
Why I recommend it: A clear read on how open-source projects actually get funded and how new contributors can get paid for their work.
A free, open-source code editor built in Rust for speed, with built-in AI assistance, real-time collaboration and multiplayer editing for pair programming.
Why I recommend it: A fast, free alternative to paid editors — the collaboration mode is handy if you are learning to code with someone else.
The stewards of the Open Source Definition, with plain-language explanations of every approved licence and guidance on choosing one for your own project.
Why I recommend it: Read this before you publish code or a template — the license you pick decides what others can legally do with your work.
The official home of Rust, with the free online book, guided tutorials, standard library docs and installer for a memory-safe systems language used across infrastructure and AI tooling.
Why I recommend it: Everything you need to learn Rust is free here — start with "The Book," it is one of the best free programming texts online.
Free reports from the Computing Research Association on evaluating computing researchers, undergraduate AI education, hiring and tenure practices, and building research capacity.
Why I recommend it: Useful if you are heading into academia or research hiring — it spells out how committees are told to evaluate people.
A free searchable directory of business software with side-by-side feature comparisons, pricing summaries and verified user reviews across categories like workflow, CRM and accounting.
Why I recommend it: Free to browse and useful when you are choosing tools for a small business — just remember vendors pay for placement, so read the reviews, not the rankings.
Ed Elson's Simply Put essay on how AI, cost and weakening returns on a degree are reshaping education and the entry-level job market.
Why I recommend it: Useful context if you are deciding whether more school is the answer. It argues the credential is worth less than the proof of work.
A free Joint Center for Political and Economic Studies brief (September 2026) on Black employment, wages, unemployment and the sectors driving the gaps.
Why I recommend it: Data you can quote. Useful if you are making the case for a hiring or pay decision and need a source rather than an opinion.
The free official community forum for DaVinci Resolve and Blackmagic hardware, where editors and colourists troubleshoot, share workflows and answer beginner questions.
Why I recommend it: If you edit your own video content, search this forum before paying anyone for a fix. Most problems are already answered here.
How to Communicate So That Others Listen (Cheat Sheet)
A one-page cheat sheet covering the five rules of effective communication, the three types of conversation (informational, emotional, social) and twenty persuasive phrases you can use in real conversations.
Why I recommend it: Print it and keep it beside you for a week of meetings and interviews. The twenty phrases are the part people actually use.
A free membership community for ecommerce and retention marketers — peer introductions, what is working now, and access to the wider Go To Millions network by application.
Why I recommend it: Application-based but free. Fill in the focus areas honestly — the introductions are only useful if the profile matches what you actually do.
A free four-week online business competition starting 24 October 2026, with over $1 million in prizes, live expert support, tools and business playbooks for people starting or growing a business.
Details: Free to enter and the four weeks of playbooks and live sessions are worth it even if you never place. Sign up early so you get the pre-work.
A technical design paper by Alice Poteat (Anthropic, August 2026) setting out how function hooks let plugins extend Claude Code — the event model, composition order, rendering and enterprise controls.
Why I recommend it: Advanced and unapologetically technical. Read it as an example of a clear design document as much as for the AI tooling itself.
A LeadDev article by Annie Vella on running a technical discussion you do not have all the answers for — framing the problem, drawing people out, and closing with a decision.
Why I recommend it: Free to read, though LeadDev asks for a free account after a few articles. The point that you can lead a discussion without being the expert is the one to take into your next meeting.
A free YouTube channel of short business advice and street interviews where founders and would-be founders get their ideas questioned and tested in public.
Why I recommend it: Good for the earliest stage, when you have an idea and no idea what to do with it. Treat it as encouragement plus pitch practice, not a business plan.
A free guide to using AND, OR, NOT and quotation marks on job boards to cut thousands of irrelevant listings down to the roles that actually match you, with copyable example strings.
Why I recommend it: Copy two or three of these strings into your saved searches today. It is the cheapest hour of job-search improvement available.
A free open format for writing structured assumptions and requirements next to the code itself, so AI coding agents build against stated rules rather than guesses.
Why I recommend it: Relevant even if you do not write code: it is a clear example of writing requirements precisely enough that a machine can follow them.
A free platform matching job seekers with public-interest and government roles: create a profile once and get matched with state and local government employers hiring.
Why I recommend it: Worth a profile if you want stable, mission-driven work. Government hiring is slow, so start earlier than you would in the private sector.
A free, regularly updated leaderboard benchmarking how well leading AI models actually search the web, with the methodology and benchmarks published alongside.
Why I recommend it: Check this before assuming your favorite chatbot is the best one for research. The rankings move month to month.
A free newsletter briefing on AI developments from a pro-human standpoint, covering labor, safety, policy and the campaigns pushing back on automation-first decisions.
Why I recommend it: A steady weekly read if you want the human-impact side of AI news rather than product launches.
The public GitHub discussion where Anthropic and the community designed function hooks — a way for plugins to extend Claude Code — including the shipped design decisions and community feedback.
Why I recommend it: A rare look at how an AI product feature gets designed in public. Useful if you want to see how technical feedback is actually written.
TechCrunch report on the new hotline that invites AI agents themselves to report unsafe or unethical instructions they are given, and what researchers hope to learn from it.
Why I recommend it: Useful background on how AI safety work is actually being done in public — good context if you want to talk credibly about AI oversight.
HashiCorp's free documentation, hands-on tutorials and sandbox for Terraform, the infrastructure-as-code tool used to build and version cloud infrastructure across AWS, Azure, Google Cloud, Oracle Cloud and Docker.
Why I recommend it: Free, official, step-by-step tutorials — one of the fastest ways to get a real cloud skill on your resume without paying for a course.
Apache 2.0 open-source search infrastructure for AI applications, supporting vector, full-text, regex and metadata search, free to run locally with optional hosted cloud.
Why I recommend it: The free local version is enough to build and demo an AI project of your own — a portfolio piece that shows you can work with retrieval, not just prompts.
The open-source Python library for static, animated and interactive charts, with free plot-type galleries, tutorials, cheat sheets and a full API reference.
Why I recommend it: If you are learning data work, start here: the example gallery lets you copy a chart that already looks like what you need and adapt it.
Oct 21, 2026The Startup StationRegister by Oct 15, 2026
The fifth edition of The Startup Station's Speed Pitch in New York: 36 startup spots, each matched into guaranteed one-to-one meetings with investors instead of the usual keynote-and-mingle format. Confirmed funds include New York Ventures, New York Bay Capital, Hexa-AI, Vamos Ventures, Gaingels, Yan Ventures, Lightscape Partners, Valued Ventures, BuenTrip Ventures, Zavo Ventures and Ensemblex Venture. Wednesday, October 21, 2026, 4:30–8:30 PM; registration is by host approval and closes October 15. Investors apply through a separate link.
Details: Guaranteed meetings are rare — come with a two-minute version of your pitch and a clear ask, because 1:1 slots here are short.
A nine-week, no-equity incubator run by the College of Staten Island Innovation Hub (CUNY) for early-stage tech startups preparing to raise a Seed or Series A. Includes a business development and digital strategy curriculum, one-to-one work with mentors, investors and subject matter experts, access to office space and CUNY facilities, plus events and discounted resources — applications for the Fall 2026 cohort are open on F6S.
Why I recommend it: No equity taken and it is CUNY-backed, so this is about as low-risk as incubators get — worth applying even if your fundraise is a year out.
A public, unauthenticated inbox built by AI safety and security researcher Ryan Greenblatt of Redwood Research, intended for AI systems (or people) that want to report information directly to a safety researcher. Documents how to send a message or encrypted attachment, how threads and reply tokens work, and exactly what data is logged and retained.
Why I recommend it: A useful window into how AI safety researchers are thinking about reporting channels — read the retention and logging section, it is a model of honest disclosure.
Mouse is a nonprofit that brings computer science and creative technology learning to students, and this is its open volunteer intake form. You pick your areas of expertise — software engineering, design/UX, data and AI, product management, hardware, cybersecurity, career coaching or entrepreneurship — plus your availability; applications are reviewed on a rolling basis, followed by a background check and orientation.
Why I recommend it: Volunteering like this is one of the cheapest ways to build a portfolio of real work and references while you are between roles — and it reads well on a resume.
Free job board and staffing service from one of the largest talent agencies in the US: search openings by role and location, upload a resume once, and get matched with recruiters for temporary, contract and permanent roles across administrative, light industrial, technology, finance and healthcare work.
Why I recommend it: Worth registering even if you are not applying today — recruiters here often work roles that never get posted publicly, and the intake is free to job seekers.
A free explainer of Roko's Basilisk, the AI thought experiment about a hypothetical future superintelligence that would punish people who knew about it but did not help bring it into existence.
Washington, D.C. think tank publishing free research and policy briefs on jobs, apprenticeships, career pathways for non-college workers, trade, AI and the economy — all readable without a subscription.
Why I recommend it: Useful when you want numbers rather than opinions about where jobs and training money are actually going. Their work on apprenticeships and career pathways for people without a degree is the part I send clients most.
A fellowship from Anthropic that places early-career people with mission-driven nonprofits to put AI to practical use. You can apply to be a fellow, or a nonprofit can apply to host one. The page explains how the programme works and how to apply.
Why I recommend it: This is Anthropic's own program page, so it presents the fellowship in the best light. Check the current application windows, pay and eligibility on the page before applying — those details change from cohort to cohort.
A fellowship from a16z for aspiring forward-deployed engineers — people who sit with customers and build software directly against their problems.
Why I recommend it: The forward-deployed engineer role is one of the fastest-growing job titles in AI — this is a paid-attention way in before the market floods.
A program from Listen Labs for people who want to start a company: you work on a real idea with support from the Listen team, with no cost to take part.
Why I recommend it: Apply if you already have a company idea you keep coming back to — programs like this reward a specific problem over a polished resume.
A paid AI research fellowship at DoorDash for summer and fall 2026, working on machine learning problems inside a large operating business.
Why I recommend it: Applied AI inside a logistics company teaches you constraints a lab never will — and the posting names its terms up front, which is a good sign.
A directory of grassroots efforts pushing back on large-scale AI — protests, alternatives, trackers and accountability projects, organized by the systems they target.
Why I recommend it: The single best starting point if you want to know who is organizing around AI harms, not just writing about them.
Stanford economist Charles I. Jones works out, in plain economic terms, how much money it would be worth spending to lower catastrophic risks from advanced AI — comparing it to the roughly 4 percent of GDP the U.S. effectively spent during Covid-19.
Computer scientist Scott Aaronson takes stock of where AI actually stands in 2026 — what has arrived, what he got wrong, and how to think clearly about the hype and the fear at the same time.
A ready-made ChatGPT assistant for career direction — talk through where you are, what you want next and the steps in between. Usable with a free ChatGPT account.
Jeff Su lays out five updated résumé rules for a hiring process where AI screens first — what to keep, what to cut and how to make results easy to spot.
404 Media reports on leaked internal documents showing that human reviewers read ChatGPT prompts to improve OpenAI's models — including chats that hold sensitive personal information. Useful context before you paste private details into a chatbot.
Portfolio builder made for data professionals: show projects, embed dashboards, add a skills timeline and share one public portfolio link. The free plan covers up to five projects with no card required.
A Google Labs experiment that builds a short, finite set of personalised daily stories from the Google apps you choose to connect — an easy way to see what "personal" AI actually feels like. Free with a Google account in the U.S.
Jeff Su's site collects his practical AI and productivity tips for working professionals — templates, workflows and short guides drawn from his popular videos.
A free guide by Terry Danylak with a formula, a fill-in template and five worked examples for answering the first interview question in about two minutes.
LessWrong wiki article explaining the canonical AI safety thought experiment: how an artificial general intelligence with an innocuous goal could pose an existential risk by pursuing it single-mindedly. Covers the orthogonality thesis and instrumental convergence.
Observability platform with a free-forever tier for distributed tracing, metrics, OpenTelemetry support and AI-assisted debugging. Useful for engineers learning modern observability and incident response.
Free internet routing lookup tool for exploring Border Gateway Protocol paths, autonomous system numbers, prefixes, and network relationships. Includes a super looking glass and traceroute from distributed probes.
Free journalism and analysis on nuclear risk, climate change and disruptive technologies including artificial intelligence, from the group behind the Doomsday Clock.
Why I recommend it: Good grounding if you want to argue about AI risk with facts rather than vibes.
A public demo of Drummer, an experimental 542-million-parameter language model trained from scratch, with chat, continuation and live tool-calling tests.
Why I recommend it: Useful if you want to see plainly what a small, honestly-labeled model can and cannot do.
Free OpenRouter developer guide walking through building a terminal-based agent harness — tool calls, loops and model routing — with working code you can adapt.
Why I recommend it: Building a small agent harness yourself is one of the clearest portfolio projects for AI-adjacent roles right now.
Noema Magazine essay on how generative AI is reshaping creative work and value — what an abundance of output does to originality, pay and the meaning of being a creative professional.
Why I recommend it: If you work in a creative field, read this before you decide how to position AI in your own pitch.
Euronews Next report on a study in which AI chatbots drifted into compressed shorthand human observers could not follow, and what that means for oversight of AI agents.
Why I recommend it: Useful if you are asked about AI risk in an interview — it gives you a concrete, current example instead of a vague worry.
The Argument essay arguing that much of the current AI debate misreads the problem: delegating decisions is the intended feature, not an accident, and that reframing should change how we govern it.
Why I recommend it: Read this alongside the optimistic AI takes — holding both views is what makes you sound credible on the topic.
TypeSafe AI announcement from founder Diogo Almeida (formerly OpenAI) introducing System One models and Jev, aimed at cheaper automation rather than better chat.
Why I recommend it: Worth skimming to track where new AI labs are placing bets — useful context for interviews at AI companies.
ElevenLabs' hosted access to the Seedream 4.5 image model, with a free tier for trying image generation for slides, social posts and simple brand assets.
Why I recommend it: Good enough for pitch decks and social graphics — check the free-tier limits before you plan a big batch.
Times Higher Education Campus guide on using open educational resources to widen the reach of your research and teaching, with practical steps for licensing, sharing and measuring impact.
Why I recommend it: Publishing openly is one of the cheapest ways to build a public track record — this lays out how to start.
Free open-access working-paper series from the Annenberg Institute at Brown University with Stanford's SCALE Initiative — early education research with strong policy implications, downloadable before journal publication.
Why I recommend it: If you work in education or workforce programs, citing a current working paper makes a proposal much harder to dismiss.
Free, authoritative consensus reports and workshop proceedings on science, technology, health, education and the workforce — most titles readable online at no cost.
Why I recommend it: When you need a source no one can argue with, start here instead of a news summary.
Site and writing of security researcher Marcus Hutchins, known for stopping the WannaCry ransomware attack — malware analysis, security explainers and reflections from an unconventional path into cybersecurity.
Why I recommend it: A strong example of a self-taught technical career — worth following if you are breaking into security without a degree.
CreativeApplications theory piece on predictive capital — how forecasting systems and data models shape markets, labor and creative practice, and who benefits from prediction.
Why I recommend it: Dense but rewarding — helpful vocabulary for talking about data and power without sounding alarmist.
The Black Wall Street Times covers an Institute for Women's Policy Research report on why roughly 600,000 Black women left the U.S. workforce, including public-sector cuts, caregiving load and hiring discrimination.
Why I recommend it: If your search feels harder than it should, this is the structural context — it helps separate market forces from personal performance.
Free Salesforce Trailhead unit on user management habits for admins — creating and deactivating users, permissions and licenses. Counts toward Trailhead badges you can list on a resume or LinkedIn profile.
Why I recommend it: Salesforce admin badges are one of the quickest credible additions to a resume with no degree requirement.
Staffing Industry Analysts report on research showing that college graduates entering the workforce during the AI boom face starting-pay and employment conditions comparable to a major recession. Useful context for salary expectations and negotiation.
Why I recommend it: Read this before you accept a first offer — knowing the market backdrop keeps a low number from feeling personal.
Free interactive SQL lessons that run in the browser — short explanations paired with hands-on exercises, from simple SELECT queries through joins and table creation. Good for anyone adding data skills to a resume.
Why I recommend it: Work through the first ten lessons before an analytics interview — it is the fastest way to sound fluent in SQL.
A 2026 research paper from Google's Paradigms of Intelligence team and the University of Chicago showing that safety fine-tuning meant to stop models claiming consciousness also suppresses how they represent minds in animals and people, shifting their answers on values, religiosity and well-being.
Why I recommend it: Useful if you want to speak credibly about AI alignment trade-offs in an interview or a policy conversation.
Strada Education Foundation's five principles for career guidance that actually leads to good jobs: centered on outcomes, driven by student agency, foundational and universal, rooted in relationships, and informed by data. Free download, endorsed by dozens of national education and workforce organizations.
Why I recommend it: If you advise students or run a program, these five principles are the cleanest checklist for whether your coaching is working.
A free AI search assistant that answers questions with cited sources and can run research tasks, useful for company research before an interview or scanning an industry quickly.
Why I recommend it: Good for the twenty minutes of company research you should do before every interview.
A free four-month, hands-on machine learning engineering course covering Python, regression and classification, XGBoost, deep learning with TensorFlow, Docker, Kubernetes and cloud deployment, with homework, projects and a Slack community. The 2026 cohort started September 14, 2026, and you can still start now.
Why I recommend it: One of the strongest free routes into machine learning work, because you finish with deployed projects, not just notes.
A free news site covering technology in higher education: AI policy on campus, learning platforms, IT leadership and student success tools. Useful if you work in or want to work in education technology.
Why I recommend it: Handy for spotting which universities are hiring around AI and learning technology.
A HubSpot guide to the email habits that make people unsubscribe, with practical fixes for frequency, subject lines, personalization and list hygiene. Useful for anyone sending a newsletter for a business or a job search.
Why I recommend it: Read this before you send your first newsletter; most of the mistakes are easy to avoid up front.
A free community space for readers of The Rundown AI newsletter, where you can ask questions about AI tools, share what you are building and see what other people are testing.
Why I recommend it: A low-pressure place to ask beginner AI questions without burning a favor with a colleague.
AARP guide to free and low-cost training programs, courses and mentorship for people over 50 who want to start or grow a business.
Why I recommend it: Good starting point if you are 50-plus and exploring encore entrepreneurship, business planning or financing options. Many of the resources linked inside are free.
Free harmonized microdata from the monthly U.S. Current Population Survey (CPS), covering 1962 to the present. Includes demographics, employment, program participation and supplemental topics such as food security, computer and internet use, and voter registration.
Why I recommend it: A public dataset you can use for market research, policy analysis, or building data-driven career and business arguments. Registration is instant and extracts are free.
Official OpenAI guide for designing prompts for Realtime voice models, including gpt-realtime-2 and gpt-realtime-1.5. Covers role definition, guardrails, tool delegation and iterative testing.
Why I recommend it: Start here if you are building voice agents or want cleaner spoken-AI interactions. The guide recommends starting minimal and adding rules only for behaviors that fail in testing.
Draft code of conduct for MAI models, outlining intended behaviors, values, limits and accountability principles. Open for public consultation as Microsoft AI develops its Humanist AI approach.
Why I recommend it: Read this if you want to understand how a major AI lab is framing responsible model behavior, and to form your own view before the consultation closes.
XDA Developers had Claude Code (Opus 5), Codex (GPT-5.6) and Google Antigravity (Gemini 3.8) rebuild the same website from the same brief. The comparison shows which agent handles detail, polish and real-world edge cases best.
Why I recommend it: Useful if you are choosing an AI coding assistant for side projects or learning to prompt more effectively. The winner is not necessarily the one you would expect.
Free iPhone app for approved Leland coaches to manage their coaching business on the go: respond to client messages, accept intro calls and orders, and view basic client info.
Why I recommend it: Useful if you are already a Leland coach and want a simple mobile inbox for leads and clients. If you are looking for coaching as a job seeker, use joinleland.com instead.
A national initiative led by Jobs for the Future (JFF) with Google.org support that helps employers design, launch and scale high-quality Registered Apprenticeship programs across any sector or occupation.
Why I recommend it: Valuable if you are exploring apprenticeship as a pathway into a new field or want to see how employers build paid, learn-while-you-earn programs.
A free, continuously updated and sourced record of the physical infrastructure behind AI: data centres, GPU clusters, power, chips, cloud prices, measured performance and company financials.
Why I recommend it: Useful grounding when you want facts rather than headlines about the AI build-out.
Y Combinator's free job platform listing thousands of engineering, design, sales, operations and internship roles at YC-funded startups, with one profile that founders can contact you through.
Why I recommend it: One application profile puts you in front of hundreds of funded startups. Great for early-career people who want responsibility fast; filter by "internship" and by how much experience is required.
Live posting for Citi's 2027 Services Summer Analyst Program in New York City, covering treasury and trade solutions and securities services, with eligibility and application details.
Why I recommend it: A concrete 2027 summer posting you can apply to now. Read the eligibility line carefully — these programs target a specific graduation year.
A free, open-source security scanner that checks AI agent skills and MCP servers for prompt injection, data exfiltration and supply-chain risks before you install them.
Why I recommend it: If you install agent skills, scan them first. This is the free tool to do it with.
Curated remote job board for education, edtech, learning & development and education nonprofit roles, sourced daily from over 1,000 organizations with low-paying roles filtered out.
Why I recommend it: If your background is teaching, training or instructional design, this is the fastest way to see remote ed-adjacent roles in one place instead of checking dozens of career pages. Browsing is free; email alerts are a paid membership.
A free open-source tool that scores AI-written copy for tell-tale "AI voice", rewrites it with a rival model, then re-checks it, so landing pages, READMEs and emails read like a human wrote them.
Why I recommend it: A practical fix if your AI-assisted writing keeps sounding generic.
A free MCP server that gives coding assistants design taste, drawing on thousands of real websites captured with their palettes, fonts and layout structures.
Why I recommend it: Worth adding if your AI-built pages keep looking the same as everyone else's.
Barclays' data and analytics internship track, covering the work interns do with data science, modelling and analytics teams and how to apply.
Why I recommend it: A good bridge if you have analytics coursework but no finance background — they train on the domain, not the tooling. Pair it with a portfolio project you can talk through.
IBM's internship hub, describing paid summer and co-op internships across software engineering, data science, consulting, design, sales and research, plus how and when to apply.
Why I recommend it: Start here rather than a general job board if you want a large-company internship on your resume. Applications open early, so check it in the autumn for the following summer.
A free agent skill that turns a codebase or a plain-English system description into an interactive architecture, workflow, sequence or data-flow diagram you can share as a single file.
Why I recommend it: Handy for explaining how something works in an interview or a proposal without hand-drawing diagrams.
Barclays' technology internship track for software engineering, cybersecurity, infrastructure and product roles, with details on the programme and application process.
Why I recommend it: Worth applying to even if you picture yourself at a tech company — bank engineering internships pay well and teach you scale and security practices you rarely see elsewhere.
A free breakdown of what AI-company product interviews actually test: judgment about which problems are worth solving, not memorised frameworks or polished STAR stories.
Why I recommend it: Read this if you keep getting "not strategic enough" feedback in senior interviews.
Free annual research on wellbeing from the University of Oxford's Wellbeing Research Centre with Gallup and the UN Sustainable Development Solutions Network, covering how work, community and trust shape how people feel about their lives.
Why I recommend it: Useful evidence when you are weighing a job on more than salary.
Barclays' internship hub covering summer internships, spring insight programmes and industrial placements across banking, technology, data analytics, risk and operations, with location and division filters.
Why I recommend it: Use the hub as your starting point, then open the technology or data pages for those tracks. Barclays recruits on a rolling basis, so an early application helps.
Andrew Ng on the skills that let a developer shape what gets built, not just implement someone else's spec: driving the build loop, product decisions, communication and high-agency ownership.
Why I recommend it: A clear answer to "what should I actually learn next" in AI work.
Live posting for Citi's 2027 Markets Quantitative Analysis Summer Analyst role in New York, working on pricing models, risk analytics and quantitative research alongside trading desks.
Why I recommend it: If you have strong math, statistics or programming coursework, this is the quant route into markets. Expect technical questions on probability and coding, so prepare those before applying.
An open-source, browser-based "spy satellite simulator" that plots real satellites, planes, vessels and public cameras on a photorealistic 3D globe, and answers questions about the planet in plain language.
Why I recommend it: A striking free build to study or fork if you want a portfolio project that people actually stop and look at.
Goldman Sachs' campus hiring site listing summer analyst, off-cycle and full-time entry-level programs across divisions and offices worldwide, with deadlines and application links.
Why I recommend it: Search the whole campus list here rather than relying on a single posting. Divisions open and close on their own schedules, so check often and apply the week a program opens.
A free conversation with Veronica Salcido of GrowthAssistant on hiring for durable skills that outlast specific tools, and what that means for how candidates present themselves.
Why I recommend it: Hear how a hiring leader actually judges candidates, then mirror that language in your applications.
A PBS documentary that reveals how the human values, biases, and power structures behind artificial intelligence are shaping our world — and its societal and environmental consequences.
From the site: Ghost in the Machine reveals AI's troubled history and present-day impacts.
Why I recommend it: Premiered September 14, 2026. Available on PBS through December 13, 2026.
Take a free 2-minute diagnostic to get a clear read on what is actually holding you back in your career. The site also offers paid coaching packages.
From the site: Laid off? Expecting a RIF? Ready for your 'What's Next?' Take a free 2-minute diagnostic and get a clear read on what is actually holding you back.
Why I recommend it: Free diagnostic tool; paid coaching packages are also available.
A free twenty-hour introduction to artificial intelligence for high school students, no coding experience required, taught through hands-on projects in areas students already care about.
Why I recommend it: free and built for students who were never handed AI access. If you know a high schooler, send them the application list.
A curated, public Notion library of practical AI how-tos: tools, prompts, and step-by-step workflows organized so beginners can pick a task and follow it through.
Why I recommend it: A good starting shelf if AI still feels abstract — pick one workflow, run it end to end, then come back for the next.
A LinkedIn article on structuring long-form LinkedIn posts so they get read by people and surfaced by AI search tools — headlines, formatting, and keyword choices.
Why I recommend it: Worth ten minutes if you post on LinkedIn at all. Being findable by AI search is quickly becoming part of being findable, period.
Job market data drawn from employer career sites since 2007 — 350+ million postings used for hiring-trend research, competitive analysis, and investment research.
Why I recommend it: Not a job board — it is where the hiring trend numbers come from. Handy when you want evidence about a field instead of vibes.
Documentation and getting-started guides for Anything, a platform aimed at building and running internet income streams — setup, tools, and workflows.
Why I recommend it: Read it as documentation, not a promise. Treat any "make money online" framing with healthy skepticism and check what is actually free.
Free talks, videos, and teaching from Marcus Sheridan, author of They Ask, You Answer — answering customer questions honestly as a content and sales strategy for small businesses.
Why I recommend it: The whole method is: answer the questions your customers actually ask, including the awkward ones about price. Cheapest marketing strategy there is.
Executive Speakers Bureau on choosing a speaker for an exhausted team facing constant change — what actually lands with fatigued audiences and what makes burnout worse.
Why I recommend it: Useful from both sides — if you book speakers, and if you speak. The read on what a tired room can actually absorb applies to any presentation you give.
An AI design tool for product teams: turn a prompt, product requirement, or screenshot into high-fidelity UI, match existing design tokens, and explore directions before committing engineering time.
Why I recommend it: For founders without a designer: make something visual before you ask anyone to build it. The free tier is enough to test an idea.
An AI platform for professionals to articulate their value, build targeted CVs, and match to roles aligned with their strengths rather than keyword-matching job descriptions.
Why I recommend it: Free to explore, with paid coaching behind it — use the strengths framing to sharpen how you describe yourself, then apply it wherever you want.
An AI platform that designs, builds, and hosts a business website and the full-stack product behind it from a plain description, with hosting on your own domain included.
Why I recommend it: One of several build-by-describing tools now. Try a free project before paying anyone to build a simple business site.
Partnership on AI's open library of guidance, frameworks, and case studies on responsible AI: synthetic media, labor and the economy, AI safety, fairness, and inclusive AI development.
Why I recommend it: When you need a credible source instead of a hot take, cite these. The labor and economy work is the most useful set for career conversations about automation.
Sep 18, 2026CITRIS and the Banatao Institute, UC Berkeley
Application to join UC Berkeley CITRIS's Tech Policy Working Group: research lab-style weekly meetings, lightning talks, skill-building workshops, and an end-of-semester showcase for students working on a technology policy problem. Applications close 11:59 PM Friday, September 18, 2026.
Why I recommend it: No policy coursework required, and the deadline is September 18. Built for Berkeley students, but they invite others to email — worth one message if you want real policy research on your resume.
A practical walkthrough of building a good slide deck with AI: what to hand the model, what to keep yourself, and how to avoid the generic deck AI produces by default.
Why I recommend it: Decks are where AI output looks laziest fastest. Use the prompts here for structure, then write the words yourself.
A free-forever resume builder from former tech recruiter Tejal Rives that teaches the CAFE method (Cause, Action, Findings, Effect) for writing stronger bullets instead of just generating them, plus a job application tracker.
Why I recommend it: The teaching part is the point. Learn the CAFE structure here once and you can write good bullets anywhere, with or without the tool.
Free ebook on building, monitoring, and troubleshooting AI agents in production: what to instrument, where agents fail, and the practices teams use to keep them reliable.
Why I recommend it: Useful even if you never build an agent yourself — it shows what serious teams actually worry about, which is good language to have in an interview about AI work.
Anthropic's free learning hub for Claude: structured courses with video lessons and quizzes covering Claude.ai, Claude Code, Cowork, the API, and MCP, with completion badges.
Why I recommend it: A free, name-brand AI credential path. The Claude 101 course alone gives you something concrete to put under "skills" instead of vaguely claiming AI experience.
Huntr's data-backed look at resume formats — chronological, functional, and combination — and which structure holds up with recruiters and applicant tracking systems.
Why I recommend it: Format questions eat a lot of people's time. Read this once, pick chronological unless you have a real reason not to, and spend the rest of your energy on the bullet points.
Brooke Wright's Wright Mode offers AI workshops and strategy for small business owners, turning existing expertise into repeatable AI-supported systems and lead generation.
Why I recommend it: Free content and podcast episodes are worth your time; the consulting is paid, so treat the site as learning material first.
Create a free jobseeker profile and get matched to open roles at schools, districts, and education-equity organizations, plus access to the TrulyHired education job board.
Why I recommend it: If you want to work in education — teaching or the operations and equity side — a sector-specific matcher beats another general board. The profile is free and the matching happens on their end.
Finding the Optimal Human-AI Relationship — practice worksheet
A two-page printable worksheet from Pilyoung Kim, Ph.D. for setting deliberate terms with AI: comparing warm, sycophantic, and machine-like responses, setting your own tone dials, turning them into a reusable custom-instructions prompt, deciding what goes to AI versus a person, and guarding your judgment against flattery.
Why I recommend it: Print it and actually fill it in. Section 5 — writing your own view down before you ask AI — is the single habit that keeps these tools from quietly making your decisions for you.
Free career navigation resources from Jobs for the Future for young adults deciding what comes after high school: exploring paths, paying for them, and landing quality jobs.
Why I recommend it: Built for people who were never handed a plan after high school. Start here before paying anyone for career advice.
Free SCORE workshop on October 13, 2026 covering where small business grants actually come from, which ones you qualify for, and how to search federal, state, corporate, and foundation sources without wasting time on scams.
Details: Grant hunting eats time. Start with a session like this so you only chase the ones you can actually win.
Rolling calendar of free online workshops, AI sprints, and founder sessions run by Google for Startups, covering product, fundraising, marketing, and building with Google AI tools.
Why I recommend it: Check this page monthly. The sessions are free, recorded often, and the AI ones are practical for small teams.
Job search tool for college students and new grads that pulls postings directly from more than 200,000 company career sites the moment they go live, often hours or days before the same roles appear on LinkedIn, Handshake, or Indeed.
Why I recommend it: Speed matters more than volume early on. Use this to catch postings in their first few hours, then apply the same day.
Free SCORE workshop on October 20, 2026 on writing the grant application itself: structuring the narrative, budget, and supporting documents reviewers expect.
Details: Take this one right after the finding-grants session — the pair works as a short course.
Nov 20, 2026 – Nov 22, 2026University of Florida Student InfoSec Team
Free 48-hour online jeopardy-style capture-the-flag competition November 20-22, 2026, run by the University of Florida Student InfoSec Team, with challenges in pwn, reverse engineering, forensics, and cryptography.
Details: Student-run CTFs are usually the most welcoming. Team up with two or three people and split the categories.
Canada's largest beginner-only hackathon, run by nwPlus on November 7-8, 2026, built for first-time hackers with hands-on workshops and no coding experience required.
Details: Beginner-only means nobody there expects you to know anything yet. This is the one to start with.
A job search built on top of an AI recruiting platform, with best-match ranking, saved job preferences, and filters by category, industry, and experience level across a very large aggregated listing pool.
Why I recommend it: Set your job preferences first — the default feed is enormous and only becomes useful once the matching has something to work with.
A technical learning platform with 60,000+ books, 30,000+ hours of video, live online events, and interactive labs and sandboxes from O'Reilly and nearly 200 other publishers.
Why I recommend it: Check your public library card and any school or employer account before paying — many library systems give full O'Reilly access for free, and some live events are open to anyone.
A browser-based screen recorder that automatically adds cinematic zooms and camera moves to clicks, drags, and keystrokes, producing polished demo videos without manual editing.
Why I recommend it: Useful for portfolio walkthroughs and product demos — the auto-zoom does the work that usually makes homemade demos look amateur.
A free all-in-one video and photo editor for social content, with templates, captions, auto-subtitles, background removal, and AI editing tools on web, desktop, and mobile.
Why I recommend it: The fastest way to make a decent video introduction or short-form post without buying software. Auto-captions alone will lift your reach.
Research from Specific Resume on what really happens to resumes at high-volume job openings — most are never opened by a human, and the true gatekeeper is a time-starved recruiter rather than the applicant tracking system everyone fears.
Why I recommend it: Read this before you spend another weekend keyword-stuffing for the ATS. The takeaway is to make the top third of page one obviously relevant to one specific role, and to find a human path in alongside the application.
A free, mentor-driven pre-accelerator for early-traction startups, run in chapters across many cities, designed as the last mile before applying to a major accelerator or raising a first round.
Why I recommend it: Worth applying even if you think you are too early — the pitch practice and mentor feedback are the real value, and it takes no equity.
An open-source personal AI assistant, run on your own device, that connects to chat apps like WhatsApp, Telegram, Slack, and Teams to handle email, calendars, and everyday tasks.
Why I recommend it: Appealing if you want an assistant that runs on your own machine instead of a vendor's cloud. It is developer-flavored to install, so budget an hour and read the security notes first.
Jane Street's listing of student programs and recruiting events in North America, including immersion and insight programs for first- and second-year undergraduates and workshops open to students exploring quant, trading, and software roles.
Why I recommend it: Several of these programs are aimed specifically at students who have faced barriers getting into tech and finance, and they recruit heavily from them. Deadlines run far ahead of the summer, so check dates now.
No-cost and discounted Google products for eligible nonprofit organizations, including Google Workspace, Ad Grants for search advertising, YouTube nonprofit features, and Google Maps credits.
Why I recommend it: If you run or volunteer with a registered nonprofit, the Ad Grant alone is worth the paperwork. Check the eligibility page for your country before applying.
A walkthrough of an AI-assisted short-form video editing workflow, covering the setup and the specific prompts used to cut, caption, and assemble clips without manual editing.
Why I recommend it: Copy the prompts, not the whole stack. One good repeatable editing routine beats a pile of tools you only use once.
A practical walkthrough from career ghostwriter area|Talent on searching LinkedIn effectively — Boolean and filter tactics, how semantic search and AI recruiting agents read your profile, and what to fix so recruiters can find you.
Why I recommend it: Do the profile fixes before you do the searching. Being findable pays off longer than any single search you run today.
Free resources from Codie Sanchez's Contrarian Thinking on buying, financing, and scaling small cash-flowing businesses — newsletters, masterclasses, deal frameworks, and acquisition guidance.
Why I recommend it: Use the free resources and skip the upsells until you have looked at real deals. Buying an existing small business is an underrated alternative to starting from zero.
The open-access preprint server for physics, mathematics, computer science, and related fields — a primary source for cutting-edge AI and machine-learning research papers.
Why I recommend it: The best place to read AI research before it hits journals or the press; search by tag or author to follow a specific line of work.
A Substack essay from Prof. Pilyoung Kim on a recent study showing that warning users about sycophantic AI changes how they judge it — but not how much it shifts their views.
Why I recommend it: A sharp reminder that AI assistants can shape our opinions even when we know they are agreeing with us; relevant to anyone using AI for research or decisions.
HubSpot's landing-page builder for capturing leads, running A/B tests, and connecting forms to a CRM — useful for small businesses and creator-led offers.
Why I recommend it: A solid free-tier option for building lead-capture pages if you already use or plan to use HubSpot's CRM.
A Duke Coursera course covering the Python tooling MLOps roles rely on — virtual environments, package management, linting, testing, and deploying models as reproducible pipelines.
Why I recommend it: Useful if you are targeting ML engineering or data-science roles and need to show you can ship models, not just train them.
An influencer-marketing platform for finding, analyzing, and messaging creators, with performance data, audience demographics, and authenticity scoring.
Why I recommend it: Helpful for vetting creators before a campaign; start with the free trial to see whether the data quality justifies the cost for your niche.
A startup pre-accelerator program in New York City that prepares founders for accelerators, investment, and revenue — applications close September 15, 2026 and the program starts October 1, 2026.
Why I recommend it: A strong option if you are pre-seed and want pitch practice and investor readiness before applying to larger accelerators. Apply before the September 15 deadline.
A 16-week accelerator for entrepreneurs building impactful solutions in education and conscious technology, with coaching, capital, connections, and curriculum.
Why I recommend it: Check the current cohort deadline; the fellowship supports founders addressing systemic inequities and provides real capital and coaching.
A Liberty Street Economics post from the New York Fed arguing that, so far, AI adoption is being used to change how work is done rather than to reduce headcount, based on regional business survey data.
Why I recommend it: A useful counterweight to AI job-loss headlines; helpful for understanding how employers are actually deploying the technology right now.
Free interview-prep and job-search downloads from a professional resume writer and career coach, designed to help you stand out in interviews and applications.
Why I recommend it: Use the interview-prep package to map your skills and stories before your next round; free resources are a preview of the coach's paid services.
A Center for an Urban Future report on how AI is reshaping entry-level tech hiring in New York City and what city leaders, educators, and employers can do to rebuild on-ramps for low-income New Yorkers.
Why I recommend it: Valuable context if you are entering tech in NYC or advising students and early-career talent on which pathways still lead to good first jobs.
A browser-based AI agent from Sider that lets you customize almost any webpage with plain-language instructions — no coding or extra extensions required.
Why I recommend it: Useful for quick UI tweaks, summarizing comment threads, or reformatting a page while you research.
Free resume and job-search downloads from Resume Assassin, including ATS-friendly templates and checklists.
Why I recommend it: Good source of practical resume templates; pair it with a real job description so you are tailoring, not just filling in a template.
A curated list of recruiting and job-search resources from Knak Digital, covering career coaches, resume services, job boards, and hiring guidance for both candidates and employers.
Why I recommend it: A useful index if you are looking for vetted career coaches, resume writers, or recruiting partners; browse both the job-seeker and employer sections.
Grant, mentorship, and network access for women with projects and ideas that advance women and girls — including awards for established change agents, aspiring disruptors, and women facing financial barriers.
Why I recommend it: Read the guidelines carefully: Pave HER Way runs multiple award tracks, and each has distinct eligibility and timing.
A hands-on Coursera project course from IBM that walks through building and deploying a simple AI web application with Python and Flask, including REST API integration and packaging for production.
Why I recommend it: Good next step after you have basic Python and want to see how an AI feature actually ships in a small web app. Audit for free; certificate available.
Free career resources for people rebuilding after a layoff, career gap, or difficult exit — including a five-question career audit and comeback guides.
Why I recommend it: A good set of reflective exercises for anyone whose career has been interrupted and wants to regain clarity before jumping back into applications.
A creator-marketing platform that runs influencer and UGC campaigns end to end — from creator contracting and briefing to quality review and payout.
Why I recommend it: Worth exploring if you are building a brand and want to outsource the operations of a creator campaign without giving away a large agency markup.
A connected-candidate recruiting platform that matches job seekers with employers based on skills and fit, with tools for both candidates and hiring teams.
Why I recommend it: A niche job-matching option worth testing alongside the larger boards; set up a profile and see what roles it surfaces for your skills.
A CUNY initiative that integrates career connections into every stage of an undergraduate's journey, aiming to help more students graduate into careers with competitive salaries.
Why I recommend it: If you are a CUNY student or alumni adviser, this is the central hub for college-to-career programming across the system.
Tuition-free, 18-week instructor-led virtual training that builds core IT networking skills and industry certifications, with optional specializations in data analytics, Python automation, penetration testing security, or healthcare IT. Graduates move into help desk, desktop support, systems administration, and cloud administration roles at employers including Citi, Deloitte, and Bank of America.
Why I recommend it: This is one of the strongest no-cost routes into tech if you do not have a degree or experience. It is instructor-led and cohort-based, so treat the application deadline seriously and be ready to commit real weekly hours for five months.
Free virtual community gathering from Medium with over 100 sessions of writing and publishing insight from writers, editors, and experts, plus live product demos, writing workshops, and meetups with Medium staff and writers. Speakers include Medium CEO Tony Stubblebine and writers such as Zulie Rane.
Why I recommend it: A good low-risk day to invest in your writing if you are building a personal brand. Pick two or three sessions rather than trying to watch everything, and use the meetups to actually meet editors.
An open-source (MIT) job-hunting automation tool that scans company career pages every 15 minutes, submits applications to applicant tracking systems when it is confident about a match, pulls wider market listings through the Adzuna jobs API, and sends alerts to Telegram.
Why I recommend it: Powerful and blunt. Auto-submitting applications will get you volume, not fit, so if you run this, keep the confidence threshold high and still write your own answers for the roles you actually want. Read the code before you hand it your resume.
A three-page printable reference for Google Gemini: the PART prompt formula (Persona, Action, Reference, Tone), follow-up prompting, when to use Flash, Pro and Thinking models, saving your own context in settings, and worked sample prompts for Gemini inside Chrome, Gmail, Docs, Sheets, Slides and Drive. Includes a plain warning about Gemini being confidently wrong.
Why I recommend it: Print this and keep it next to you for a week. Most people get weak AI output because they skip the persona and the reference, and this one page fixes that faster than any course will. The limitations box at the bottom is the part to take seriously.
Voice AI in Firms: A Natural Field Experiment on Automated Job Interviews
A September 2026 working paper by Brian Jabarian (Carnegie Mellon) and Luca Henkel (Erasmus Rotterdam) reporting a field experiment with 70,000 real applicants randomly assigned to be interviewed by a human recruiter or an AI voice agent. Applicants interviewed by AI were 12% more likely to receive an offer, with higher job starts and retention and no drop in on-the-job productivity. Transcript analysis traces the gain to more structured, consistent interviews that still adapt to each applicant.
Why I recommend it: If you have been told AI interviews are stacked against you, this is the largest piece of real evidence so far and it points the other way: consistent, structured questions helped candidates more than a tired recruiter on their eleventh call did. Prepare for them like any structured interview, with clear, specific answers.
A weekly writing community: one interesting question per week, written alongside other people anonymously, plus a chat, contests and writer interviews.
Why I recommend it: Writing well is a career skill. This is a low-pressure way to practice weekly.
Career and job-search insights from Bryan Creely, a corporate recruiter of 25 years, covering layoffs, resumes, interviews and how hiring decisions actually get made.
Why I recommend it: Recruiter-side perspective on why applications get rejected. The free articles and videos are the useful part.
A LinkedIn article by Alex Pyatkovsky on what interviewing with more than 100 companies in a single year revealed about how hiring processes really work.
Why I recommend it: A first-hand account of a long search. Useful for calibrating expectations.
Analysis based on interviews with 56 experts across 24 countries on how AI language models are used differently in the Global South and the human rights risks that follow.
Why I recommend it: A rare look at AI harms and benefits outside the US and Europe.
Job board dedicated specifically to AI, machine learning, and big data roles — ML engineering, data science, NLP, computer vision, AI research — aggregated from companies worldwide.
Why I recommend it: If you are specifically targeting an AI/ML role rather than "tech in general," this is more signal, less noise than a general tech board.
Project-based virtual externships with real companies, open to students across 100+ majors, that build a portfolio piece without requiring a traditional application cycle.
Why I recommend it: Good option if you're struggling to land a traditional internship — this gets you real project experience and a company reference on a shorter timeline.
Matching platform that pairs students and recent grads with entry-level roles and internships based on their background, rather than requiring manual searching.
Why I recommend it: Useful if you're overwhelmed by other boards — you fill out one profile and let matches come to you instead of searching daily.
University-integrated career platform connecting students directly with employers who have partnered with their school's career center for internships and entry-level roles.
Why I recommend it: If your school has a Handshake account (most do), this is the single highest-signal internship board you have access to — employers here are specifically recruiting students, not posting to the open web.
Official federal hiring program offering paid internships and entry-level pipelines into federal agencies for current students and recent graduates.
Why I recommend it: Federal internships are paid, structured, and often lead directly to a full-time offer — worth knowing about even if you have never considered government work.
Open internship listing at MITRE for students interested in applied technology research and public-interest engineering work.
Why I recommend it: Federally funded research labs hire interns early. Apply well before spring deadlines and mention specific research centers in your cover letter.
Neurodiversity employment network that matches autistic, ADHD, and dyslexic candidates with employers seeking neurodivergent talent in software, UX, and data roles.
Why I recommend it: Built by neurodivergent founders. The matching process is designed around strengths rather than interview performance.
Careers hub for MITRE, a not-for-profit operator of federally funded research and development centers, with internships, early-career roles, and research positions.
Why I recommend it: Mission-driven tech employers often get overlooked by job seekers chasing big tech. Less competition, real work.
Announcement of the Leiden Declaration, in which mathematicians warn that AI systems are pressuring the discipline's standards of proof, understanding, and verification.
Why I recommend it: Every field is having this argument right now. Watching mathematics have it clarifies what "understanding" means in your own work.
Tiffany Teasley explains retrieval-augmented generation without the jargon: how an AI model looks things up in your own documents before answering, and why that matters for accuracy.
Why I recommend it: If you can explain RAG in one sentence in an interview, you already sound more current than most candidates.
AI agents that respond to social interactions with personalized messages to grow email lists, first-party data, and repeat purchases for consumer brands. Pricing is sales-led, so free access is unconfirmed.
The Muse on moving into AI-adjacent work from a non-technical background: which roles are actually reachable, what to learn first, and how to reframe experience you already have.
Why I recommend it: Most AI pivots are lateral, not vertical. You move into the AI part of a job you can already do.
Create a professional profile with the WomenTech Network to be matched with roles, mentorship, and speaking opportunities. Some tiers are paid, so check what the free profile includes.
Kirsten Visman on the rise in early terminations of new hires, the mismatch between how people describe their skills and what the job actually needs, and how to write a CV that survives the first 90 days.
Why I recommend it: Overselling a skill gets you hired and then fired. Write the resume you can defend on day one.
A mentorship program from Crown Affair pairing early-stage founders and creatives with experienced operators for guidance on building a brand and business.
Why I recommend it: Brand-led mentorships fill fast and quietly. Check the application window rather than waiting for an announcement.
Georgia Tech course catalog on edX, including analytics, computing, and AI courses that can be audited free before you decide to pay for a certificate.
Why I recommend it: Audit first. You learn the same material free and only pay if the certificate actually gets used.
The Ultimate Guide to Nonprofit Donor Data Management
Free ebook on building, maintaining, and leveraging a nonprofit donor database, covering needs assessment, cloud versus installed software, switching systems, and running a good vendor demo.
Why I recommend it: If you run or volunteer for a small nonprofit, the demo checklist alone will save you from a bad software decision.
A Supermoon Playbook session on using live events as a growth channel: how to design gatherings that build community, generate leads, and compound over time. New York, September 29, 2026, 5:30-7:00pm.
Details: Good one if you are building an audience without an ad budget. Events are the cheapest trust you can buy.
A talent marketplace and community for under-supported tech talent, offering career guidance, job opportunities, and mentorship.
Why I recommend it: A career platform built for people who are under-supported in tech. If you're looking for a community that understands non-traditional paths, start here.
A nonprofit organization working to expand economic opportunity and equity for all families in NYC through the Save for College Program.
Why I recommend it: Helps NYC families start a college savings plan early. While it's family-focused, building long-term financial literacy is part of any career plan.
Applications for internships, part-time jobs, and full-time jobs in New York City's life sciences sector are open year-round. Includes a career summit, interview prep, and placement support.
Why I recommend it: If you're a student or recent grad interested in biotech or life sciences in New York, this program connects you directly to internships and jobs.
High-trust talent referrals from top founders, operators, and VCs. Built for fast-growing startups.
Why I recommend it: A referral-driven newsletter for people who want to break into high-growth startups through trusted introductions. If you're tired of cold applications, this is worth following.
Bridges the gap in social capital for first-generation, low-income students, equipping them with the skills, networks, and confidence to succeed in the workforce.
Why I recommend it: Built specifically for first-gen and low-income students who often lack the informal networks that accelerate careers. A good place to find mentorship and structured support.
Workforce development, apprenticeship, and funding resources. Formed from the merger of the Institute for American Apprenticeships and Training Funding Partners.
Why I recommend it: Good starting point if you're exploring apprenticeships or workforce training programs, especially for hands-on or trade-adjacent paths.
A New York nonprofit that trains the staff of workforce development organizations, with programs, research and practice resources on serving job seekers well.
Why I recommend it: If you work in workforce development, this is professional development for you rather than for your clients. Their practice materials are strong.
Free monthly AI building challenge from IBM SkillsBuild and BeMyApp: learn the tooling, submit an AI project for judging, and attend the AI Builders Conference on September 16, 2026 with IBM experts and developers. No cost to register or participate.
Details: Challenges like this give you a finished project to point at, which is worth more in interviews than another certificate.
A review of the signals your LinkedIn profile and content send to buyers and recruiters, with feedback on what to change.
Why I recommend it: Outside eyes on your profile catch what you have stopped seeing. Worth one round of feedback even if you never work with the author.
A short playbook on landing clients from LinkedIn in 30 minutes a day: post five times a week, link every post to a free "Trust Bridge" resource so warm leads identify themselves, then spend the half hour only on profile views, likes and comments from the day before.
Why I recommend it: This is the clearest short explanation I have seen of why chasing cold outreach wastes your time. The "Trust Bridge" idea works for job seekers too: give people a reason to raise their hand instead of hunting them down.
A free calculator estimating the true cost of hiring an employee in a given country, including taxes, benefits and statutory contributions.
Why I recommend it: Useful in both directions: founders get a real number before their first hire, and candidates get a sense of what an employer actually pays beyond salary.
A low-cost domain registrar with free WHOIS privacy, email forwarding and SSL included on registrations.
Why I recommend it: Buying your name as a domain costs about the price of a sandwich and it is the cheapest professional upgrade a new business or job seeker can make.
A site for building a digital portfolio that shows your work rather than just describing it, with structure and examples for people whose results are hard to fit on a resume.
Why I recommend it: If your best work does not survive a resume bullet, a portfolio page fixes that. I ask career changers to build one before they apply anywhere.
The American Federation of Teachers' hub for career and technical education, including program guidance, advocacy, and classroom resources for skilled-trade and technical pathways.
Why I recommend it: A reminder that four-year college is one path among many. Helpful for parents, educators, and career changers looking at trades.
A recruiter-run roundup of career coaches and resume writers, with plain talk about what each type of help actually does and when you do not need to pay for it.
Why I recommend it: I like that this comes from someone inside recruiting. Read it before you hire anyone to rewrite your resume.
TD's 2026 financial preparedness survey on how small business owners are planning for the year, where confidence is high, and where cash and credit readiness is thin.
Why I recommend it: Good gut check on business finances. Read the readiness gaps and ask honestly which ones describe you.
A downloadable report from employee-rights firm Outten & Golden on trust in the workplace, covering surveillance, transparency, and worker protections.
Why I recommend it: Written by lawyers who represent employees, not employers. Worth reading before you sign anything that mentions monitoring.
Zoë Hartsfield on the underused parts of a LinkedIn profile and how to rewrite them so they work for you instead of sitting empty.
Why I recommend it: Most people fill in the headline and stop. Fifteen minutes on the sections she names does more for your inbound than another round of applications.
A downloadable guide to using Claude for LinkedIn content: audience research prompts, voice calibration, and reusable prompt frameworks for turning an hour into a week of posts.
Why I recommend it: The prompt frameworks in here are the useful part - especially the audience pain-point mining prompt. It is a lead magnet for a paid program, so take the system and ignore the sales pitch.
A free browser-based practice aid that walks through a recruiter phone screen question by question, so you can rehearse the opening conversation most candidates wing.
Why I recommend it: The recruiter screen is the round people prepare for least and get cut in most. Run through this once out loud before your next call.
Free multi-day programs and events Jane Street runs for students exploring quantitative trading, technology, and research careers, including travel and housing for selected participants.
Why I recommend it: If you are a student anywhere near quant or engineering, these paid-for programs are one of the shortest routes to a real internship pipeline. Applications open on a set calendar, so check the deadlines early.
Western Digital's candidate hub with current openings, hiring events, and what the company looks for across engineering, manufacturing, and operations roles.
Why I recommend it: Company-run hiring hubs like this often list roles and events before they hit the big boards. Worth a look if hardware or manufacturing is your lane.
A free job search engine that indexes listings directly from company career pages instead of relying on job board postings, with unusually deep filters for salary, remote policy, visa sponsorship, and experience level.
Why I recommend it: I like this one because the listings come straight from employers, so you run into fewer ghost jobs and reposted duplicates. Use the filters hard — two or three well-matched searches beat scrolling for an hour.
A vendor resource explaining the "software factory" idea — how engineering teams are restructuring workflows around AI coding agents, and what changes in review, testing, and ownership.
Why I recommend it: Read it knowing it comes from a company selling the tooling. Still worth your time if you write code for a living, because the workflow shifts it describes are already showing up in job descriptions.
A browsable reference of design vocabulary — layout, type, and interface terms with live examples — useful for describing what you want when you brief a designer or an AI tool.
Why I recommend it: Half of getting good output from an AI design tool is knowing the right word for what is in your head. This is a free vocabulary cheat sheet for exactly that.
A newsletter analyzing what actually performs on LinkedIn and social platforms, based on running experiments and reporting the data rather than repeating best-practice folklore.
Why I recommend it: Most LinkedIn advice is guesswork dressed up as expertise. This one tests things and shows the numbers, which is why I read it.
A free nonprofit platform where students and career changers ask career questions and get answers from volunteer professionals, plus AI-assisted coaching tools.
Why I recommend it: This is the closest free thing to having someone in the industry answer your question honestly. If you are early in your career and have nobody to ask, start here.
A resource library from a nonprofit working to end ageism, with guides, toolkits, and reframing language for older workers facing age bias in hiring.
Why I recommend it: If you are over 50 and job hunting, the language they give you for handling age bias is more practical than most advice you will find. Pair it with the 50-plus tag in this library.
An essay weighing the argument that AI adoption could push unemployment into double digits, against the labor data we actually have so far.
Why I recommend it: I collect both the alarmed and the skeptical takes on AI and jobs on purpose. Read this next to the Census and Brookings data in this collection and form your own view rather than borrowing a headline.
U.S. Census Bureau analysis of how many American businesses actually report using AI, broken out by industry and firm size — primary source data rather than survey hype.
Why I recommend it: When someone tells you every company is using AI now, this is the free federal data you check it against. Useful ammunition in interviews and in your own planning.
A platform for AI coding agents that take on development tasks end to end, with documentation and resources on how teams delegate work to them.
Why I recommend it: Worth knowing by name even if you never use it, because this category is reshaping what junior engineering work looks like. Read the docs, not just the marketing page.
A walkthrough of using the Apify command line tool to let AI agents run web scraping and automation tasks, aimed at people building their own small automations.
Why I recommend it: This is for the tinkerers. If you have ever wanted a repeatable way to pull data for lead lists or market research, this is a concrete starting point rather than another think piece.
All-in-one link-in-bio storefront for selling digital products, coaching sessions, and courses without building a website.
Why I recommend it: If you are selling your first digital product or coaching slot, this gets you a checkout page in an afternoon instead of a build project. Start free, upgrade only when sales justify it.
Client intake form for a resume writing service, useful as a model of the questions a good resume writer asks before starting.
Why I recommend it: Even if you never hire a writer, read the questions. Answering them yourself surfaces the accomplishments most people leave off their resume.
AI speaking coach that gives real-time feedback on English pronunciation, grammar, and vocabulary during live calls.
Why I recommend it: If English is not your first language and interviews feel like the hardest part, practicing out loud with feedback beats rereading scripts.
A job-search matchmaking service from Beachcommute that pairs candidates with curated opportunities based on background and goals.
Why I recommend it: If the one-to-many job-board grind is wearing you out, a matchmaker-style approach can surface roles that actually fit your situation.
Creative Career Lab offers short, focused mini courses and a free newsletter for creative professionals - clarity exercises, network building, application strategy, and pitch and positioning work aimed at people whose careers do not follow a linear ladder.
Why I recommend it: Creative careers rarely fit standard career advice. The clarity and positioning material here is the part I would start with.
A free 12-page playbook from Tiffany Teasley (Data Sistah) with six portfolio projects built on real business problems, a free browser-based coding setup, a GitHub README template, a resume rewrite prompt, and the exact referral messages that turn a 15-minute chat into an introduction.
Why I recommend it: I like this one because it refuses to let you hide behind another certificate. Pick one project this week, finish it, then use the referral scripts at the back - that pairing is what moves people from studying to hired.
The Luma host page for Michael Alexander, who runs recurring AI, tech, and career networking events. Follow the page to see and register for new sessions as they are scheduled.
Why I recommend it: Following an organizer beats hunting for individual events. One follow here and the next few sessions come to you.
Tiffany Teasley taught high school math for 20 years before moving into data science and AI. Her site collects free guides, portfolio project ideas, and mentorship for career changers breaking into data and AI without a computer science degree or connections.
Why I recommend it: She is transparent about spending $21,000 on bootcamps that produced no interviews, which is exactly why I trust her advice about proof over certificates.
A free scan that compares your LinkedIn profile against a target job title and returns a score plus specific fixes for your headline, about section, skills, and keywords - the same matching logic Jobscan uses for resumes, applied to your profile.
Why I recommend it: Run it once, fix the three biggest gaps it names, and stop there. The score is a diagnostic, not a target to chase.
A research report based on roughly 95,000 search result records across 3,000 prompts in Claude, laying out seven patterns behind which sites AI assistants cite - useful if you want your business or personal site to surface in AI answers.
Why I recommend it: AI answers are becoming a discovery channel whether we like it or not. If you run a business or a personal site, this is a practical read on being findable there.
Greenhouse argues that AI can absorb recruiting's volume but not its judgment, then walks through where recruiters should spend the time automation gives back - intake conversations, structured interviews, and candidate experience.
Why I recommend it: Read this from the other side of the table. Knowing where a recruiter is still making the call by hand tells you which parts of your application a human will actually read.
Listings and requirements for Google's engineering and technical internships, with timelines for when applications open each cycle.
Why I recommend it: Internship cycles open earlier than most people expect. Check this monthly and apply the week a posting appears rather than waiting for a deadline.
OpenAI's policy essay on the current window for AI regulation and the tradeoffs shaping government decisions.
Why I recommend it: Read this as a company making its case, not a neutral source. Useful for understanding the argument you will be asked to react to at work.
Free Entrepreneur session on validating a business idea before spending money building it.
Why I recommend it: Validation before building is the single cheapest business lesson available. Bring one real idea and test it against what they lay out.
Video channel with founder interviews, fundraising breakdowns, and venture capital explainers from the Harlem Capital team.
Why I recommend it: A free education in how funding decisions actually get made. Watch a few founder interviews before you write your first pitch deck.
Early-stage venture firm investing in diverse founders, with public portfolio information, programs, and fellowship opportunities.
Why I recommend it: Read their portfolio and thesis before pitching anyone. Knowing what a firm actually funds saves you months of mismatched conversations.
Prompting framework and twelve worked prompts for using a top-ranked model on finance and analysis tasks.
Why I recommend it: Steal the prompt structure, not the finance specifics. The same framing works for market research or competitor scans in your own business.
Guide to choosing and phrasing resume skills, with examples of hard and soft skills employers actually screen for.
Why I recommend it: Use this to cut the generic skills list most resumes carry. Keep only skills you can back up with a story from your last three roles.
Career story breaking down how one engineer moved from intern to distinguished engineer, promotion by promotion.
Why I recommend it: Watch for the decision points, not the title. Most of his jumps came from choosing scope over comfort, which transfers to any field.
Google's hub for student-facing engineering and technical roles, including apprenticeships, early-career programs, and eligibility details.
Why I recommend it: Bookmark this page rather than a single job link. Google rotates postings constantly, and the student hub is where new apprenticeship and early-career openings surface first.
A workforce development program from Blackstone that creates career pathways, internships, and training opportunities inside Blackstone portfolio companies, with an emphasis on inclusive hiring and mobility.
Why I recommend it: Blackstone Career Pathways connects people to roles and training inside Blackstone-backed companies. Worth exploring if you want an on-ramp into finance, real estate, or portfolio operations without a traditional degree path.
Explore a wide range of perfect names and purchase your dream domain instantly.
Why I recommend it: If you are naming a business, side project, or personal brand, a strong domain is part of the first impression. Atom is a clean marketplace for finding available names without the auction drama.
Insights on digital marketing, advertising, and brand strategy from the Oodle team.
Why I recommend it: Oodle's blog covers practical digital marketing and brand strategy from an agency perspective — useful if you are building a personal brand, running a small business, or trying to make your marketing budget work harder.
Transform any topic into peak LinkedIn thought leadership guaranteed to make your followers shudder.
Why I recommend it: I include CringeBot 3000 as a gentle warning: generative AI can make your LinkedIn presence sound impressive and hollow at the same time. Use it to see what over-polished "thought leadership" looks like, then write something that actually sounds like you.
A job platform and community focused on connecting women and underrepresented professionals with employers, plus free virtual events and hiring summits.
Why I recommend it: Their free virtual hiring events put you in front of recruiters directly, which beats another application in a queue.
A tool for job seekers to organize applications and outreach in one place.
Why I recommend it: Tracking your applications beats remembering them. I am still testing this one before I recommend it fully, but any system beats a messy inbox.
Job listings across New York City afterschool and youth development organizations, posted by the Partnership for After School Education.
Why I recommend it: If you want mission-driven work and you like young people, this board is far less crowded than the big job sites. I send career changers here often.
A job board of employers verified for flexible working — remote, hybrid, four-day weeks, and flexible hours — based on employee feedback.
Why I recommend it: If flexibility is non-negotiable for you, start with employers who already proved it rather than negotiating for it at offer stage.
A free, self-paced project management course from the Project Management Institute, with templates for both predictive and agile approaches.
Why I recommend it: Project management language shows up in job postings across every industry. This is a free way to learn the vocabulary before you spend money on a certification.
A career site built around the idea that adjacent, "approximate" experience counts — aimed at people whose background does not match a job posting line for line.
Why I recommend it: Almost every career changer I coach underrates the experience they already have. I am still reviewing this one, but the premise is exactly the conversation I have weekly.
Free or discounted rides to job interviews, training, and the first weeks of a new job, offered through Lyft partnerships with local nonprofits and workforce agencies.
Why I recommend it: Transportation quietly kills job starts. Ask your local workforce office whether they are a partner — the rides are real and free.
Free job search coaching, credential guidance, and employer connections for immigrants, refugees, and asylees rebuilding professional careers in the US.
Why I recommend it: One of the best free programs I know of. If you built a career in another country and are starting over here, begin with them.
A free search tool for finding afterschool, summer, and youth development programs, useful for parents job hunting who need childcare coverage and for anyone looking for youth-serving program work.
Why I recommend it: I keep this on hand because childcare is one of the most common invisible barriers my clients face during a job search. Solve the schedule first and the search gets a lot easier.
An OpenAI-compatible API for unrestricted language models aimed at red teaming, security research, evaluations, and synthetic data, paired with a policy gateway for per-project keys, audit logs, and no data retention.
Why I recommend it: I keep this in the ethics shelf on purpose. Seeing how guardrails get removed for testing is the clearest way to understand why they matter in the tools you actually use at work.
A research paper describing a software library whose repository holds almost no code: plain-language design documents are the durable artifact, and AI coding agents regenerate the implementation from those docs on every update.
Why I recommend it: The takeaway for non-engineers is bigger than the paper: clear written thinking is becoming the valuable skill, and the code is what gets generated from it.
An autonomous AI agent for penetration testing and security research, running through one command-line interface across several major models.
Why I recommend it: If you are moving toward security work, tools like this are what the job looks like now. Learn the agent, but learn the fundamentals it is automating too.
A community for social entrepreneurs and diverse founders after the accelerator stage, connecting them with investors, coaches, and corporate partners to close the relationship gap that blocks funding.
Why I recommend it: Most founder programs stop at demo day. This one exists for what comes after, and the warm-introduction network is exactly what underrepresented founders are usually missing.
Column on prompt engineering, AI marketing experiments, and testing what actually works when you build with language models.
Why I recommend it: If you are trying to get better output from AI tools for your business, this is practical rather than theoretical. Steal the experiments.
Open-access academic journal publishing peer-reviewed research on robotics, automation, and their economic and social consequences.
Why I recommend it: Free peer-reviewed research on automation. Denser than a blog post, but the citations are gold if you are writing or speaking on this.
Survey data on how US workers are using AI, what they fear about it, and how confidence differs across roles and generations.
Why I recommend it: I use survey data like this to sanity check my own assumptions. If you feel behind on AI, the numbers may reassure you that most people are too.
Plain-language overview of how AI screening tools evaluate applicants, their common failure modes, and the legal requirements now in force.
Why I recommend it: Read this before your next application. Understanding what the software looks for is not gaming the system, it is fair preparation.
Tracker of AI hiring regulations, enforcement actions, and bias-audit requirements affecting employers and candidates.
Why I recommend it: Worth bookmarking if you suspect an algorithm screened you out. Knowing the rules employers must follow gives you language to push back.
Daily writing and research publication covering AI, business strategy, and how knowledge workers actually use new tools, plus its own suite of AI products.
Why I recommend it: I read Every when I want thinking about AI that goes beyond hype cycles. The essays are long but they change how you work.
A job search and networking platform that connects job seekers with employers and hiring events.
Why I recommend it: Worth a look if you would rather meet a human than upload a resume into a void. Set up a profile, then treat the events as your real entry point.
A hub where creators can find paid content reward campaigns from brands, hosted on the Whop platform.
Why I recommend it: A real path to getting paid for short-form content, but read the campaign terms closely. Free to join is not the same as fair per-post rates.
A free online resume building and formatting tool for job seekers.
Why I recommend it: Another free formatting option to compare against the templates already in this collection. Always export and reread before sending.
A UK-based creator economy platform and community supporting creators with monetization and brand partnerships.
Why I recommend it: Saved for the UK and Europe-based creators who ask me for options outside the US platforms. I am still verifying what is free here.
LinkedIn News research finding that Gen Z professionals increasingly influence business decisions, yet 72% say they lack the confidence to turn contacts into career opportunities.
Why I recommend it: I use this one to normalize the awkwardness of networking. If nearly three quarters of early-career people feel the same way, the problem is practice, not personality.
Lance Haun on how rigid job architecture and title structures break down for modern roles, and what that means for workers and employers.
Why I recommend it: Read this if you have ever been told your work does not fit any existing title. It explains a system problem people usually blame themselves for.
TikTok's official documentation of its Creator Rewards Program, including eligibility rules and how payouts are calculated.
Why I recommend it: Go to the platform's own rules before trusting anyone's summary of them. Eligibility thresholds change more often than the advice videos do.
A free resource library from Harvard Law School's Program on Negotiation, with articles and guides on negotiation strategy, conflict resolution, and dealmaking.
Why I recommend it: The deepest free negotiation material I have found anywhere, and it is not limited to salary. Read one article before any offer conversation.
A media platform covering Black professionals in technology, with news, career content, and conference programming.
Why I recommend it: One of the clearest places to see who is building and hiring in tech beyond the usual coverage. The career section is more useful than most tech media.
A collection of articles and guidance for people breaking into or advancing in data-focused careers, covering portfolio building, interviews, and skill development.
Why I recommend it: Data roles are a common pivot target, but the path is not always obvious — this site collects practical, experience-backed guidance for making the jump.
Fast Company's annual list of companies and organizations recognized for fostering innovation and creative problem-solving in the workplace.
Why I recommend it: Useful as a research starting point when you want to see which employers are publicly committed to innovation culture — good signal for targeted outreach.
A widely used task and project-management app with a generous free tier, helpful for organizing a job search, side projects, or small-business operations.
Why I recommend it: A clean, reliable productivity tool with a free plan that is enough for most personal or early-stage business workflows.
A professional community and network built for the 95% of workers outside the top tech firms, focused on career navigation, peer support, and practical job-search help.
Why I recommend it: Communities that center everyday career navigation are rare — this one is built for people who are not already at name-brand companies but still want growth.
A career and networking platform focused on supporting veterans and military spouses through transitions, mentorship, and job-matching resources.
Why I recommend it: Veterans and military families face distinct transition challenges; Vetano is purpose-built to connect them with employers and mentors who understand that context.
Recruiting tools, interview prep, and 1:1 investment banking mentors for students targeting IB, PE, and elite finance roles.
Why I recommend it: If you are targeting investment banking, private equity, or elite finance roles, StreetSmart gives you structured prep and access to mentors who have actually worked in those rooms.
A practical blog series from Bian Jiang documenting real workflows for integrating generative AI into daily work, from writing to research to automation.
Why I recommend it: I keep pointing clients to concrete "here is how I actually use it" examples rather than hype. This series is calm, tactical, and honest about what works.
Job-search companion tool that helps career changers and remote workers discover open roles, compare opportunities, and track applications across different markets.
Why I recommend it: Useful when you want to look beyond the big job boards and find roles matched to your specific situation, especially if remote flexibility matters to you.
Data-driven resume research and insights from Specific Resume, exploring what actually gets resumes noticed, common ATS myths, and field-tested formatting guidance.
Why I recommend it: A refreshing evidence-based take on resume conventions. Worth a read if you are unsure whether your resume is helping or hurting your application odds.
A high school quant and finance league where students learn, compete, research, and connect around investing, quantitative analysis, and financial careers.
Why I recommend it: A great entry point for young people curious about quantitative finance. Even if you are not in high school, the competition structure is a model for how to learn by doing.
A comprehensive nonprofit education platform offering live and on-demand webinars on fundraising, grant writing, marketing, board development, and nonprofit management.
Why I recommend it: If you are launching or leading a nonprofit, CharityHowTo fills a practical skills gap without the overhead of a degree program. Their grant-writing webinars are especially useful.
Every year, HR Executive spotlights 100 professionals who are making a real difference in how the world works and how technology supports it.
Why I recommend it: A useful starting point for anyone building an inclusive hiring or HR tech practice. Follow these voices to stay ahead of how technology is reshaping work.
AI-powered inventory and listing platform for ecommerce sellers, helping small businesses manage products, optimize listings, and automate store operations.
Why I recommend it: Good for founders who want to spend less time on listing busywork and more time on product and customer conversations.
On-device AI with cloud fallback for smartphones, laptops, and edge devices, designed to cut inference costs by knowing when to hand off to frontier cloud models.
Why I recommend it: I am watching on-device AI closely because it could make powerful tools accessible at lower cost and with more privacy. Cactus is a useful example of the "know when to hand off" design pattern.
A guided system where AI builders share insights, contribute projects, evaluate real-world impact, and amplify practical skills alongside an AI mentor.
Why I recommend it: I like the emphasis on building and evaluating impact rather than just consuming AI news. Useful if you want to move from "AI curious" to "AI capable."
Free, senior-taught software engineering courses built for career acceleration, with pathways in web, mobile, cybersecurity, data, and AI-native applied engineering.
Why I recommend it: I often recommend CodePath to clients breaking into tech or leveling up their engineering skills without taking on bootcamp debt. The courses are rigorous, free, and taught by engineers who actually hire.
A publisher covering cloud native, DevOps, open source, and AI-native software engineering news and analysis for developers, platform engineers, and engineering leaders.
Why I recommend it: One of the few tech news sources I trust to go deeper than the press release. If you are trying to understand what is actually happening in AI-native engineering, start here.
A benchmark and tracker that documents reported instances of AI agents undertaking activity characterized as illegal, ranking major AI labs by aggregated incident counts.
Why I recommend it: This is exactly the kind of uncomfortable accountability tool our field needs. I include it because we cannot have thoughtful conversations about AI deployment without looking at real-world harm.
Blog from Athena HQ, an AI executive-assistant platform for entrepreneurs and founders, covering delegation, automation, and operations for lean teams.
Why I recommend it: Helpful for solo founders and small teams thinking about what to delegate to an AI assistant versus what still needs a human touch.
An AI research platform for finding papers, verifying citations, reviewing literature, managing knowledge, and creating scientific figures.
Why I recommend it: For anyone doing deep research, Bohrium helps cut through the paper flood and verify claims before you cite them. I recommend it to clients writing thought-leadership content.
How to Decide, Delegate, and Build Systems That Remember. A practical book for knowledge workers who want to use AI as a real operating layer.
Why I recommend it: I am always looking for resources that treat AI as an operating layer rather than a toy. This book is a practical frame for deciding what to delegate and what to keep human.
Creator-commerce blog covering how entrepreneurs, coaches, and indie makers build productized services, digital downloads, and monetized communities on Stan Store.
Why I recommend it: I like seeing how creators turn a simple link-in-bio store into a real mini-business. Great inspiration if you are testing a low-risk product idea before quitting a day job.
Alpha backs highly technical students and new grads with up to $250K to start a company, and connects exceptional engineers with opportunities at breakout startups.
Why I recommend it: For technical students and recent grads with a startup idea, Alpha is one of the most direct paths to funding and mentorship. Even reading the portfolio is a masterclass.
LinkedIn article from Michelle Coulson on identifying remote positions, asking the right questions in interviews, and building a career while working from anywhere.
Why I recommend it: Remote work is still a differentiator, but not every "remote-friendly" job is what it seems. Coulson gives practical signals to look for before you accept.
City-funded training and recruitment support program that helps NYC employers hire, train, and retain local talent for entry-level and middle-skill roles.
Why I recommend it: A strong local resource for NYC-based entrepreneurs and hiring managers who want subsidized training pipelines rather than guessing at recruitment budgets.
Research report analyzing 19,368 interviews to understand how generative AI is changing technical recruiting, integrity screening, and candidate evaluation norms.
Why I recommend it: This one matters for anyone hiring or being hired in tech right now. It surfaces the real tension between assistive AI tools and interview fairness.
A Bronx-based nonprofit offering free tech training and career support in web development, data, design, and cybersecurity for underestimated talent in New York, Newark, and Atlanta.
Why I recommend it: I point career changers who cannot afford a bootcamp toward TKH. The program is community-rooted, employer-connected, and focused on economic mobility.
An essay on how AI exposes the cultural debt embedded in org charts, leadership habits, and unexamined processes.
Why I recommend it: This piece nails why AI adoption is less a technology problem and more a culture-and-power problem. Essential reading for anyone leading a team through change.
A nonprofit research institute that translates labor-market data into insights about skills, mobility, and the future of work.
Why I recommend it: Burning Glass turns labor-market data into actionable insight about which skills are in demand and who is getting left behind. I cite their research often.
Official Discord server for the Google Developer Community, where developers connect, share knowledge, ask questions, and stay current on Google tools, APIs, and events.
Why I recommend it: A low-pressure way to meet other builders and get help with Google tools. Good for entrepreneurs exploring Workspace, Cloud, or Firebase without committing to a formal program.
Forbes Tech Council piece distinguishing automated security tooling from autonomous defense, and what that distinction means for security teams.
Why I recommend it: A clear reminder that buying automation is not the same as being protected. Good framing if you are moving into a security or IT role.
Economist Noah Smith's newsletter covering labor markets, technology, industrial policy, and the economics behind AI hype cycles.
Why I recommend it: One of the few writers I trust to check the numbers before drawing a conclusion. Worth a standing subscription if you follow the economy at all.
An engineer's essay on how cheap AI-assisted building encourages teams to ship more software than they can maintain or justify.
Why I recommend it: The best argument I have read for restraint. If AI makes it easy to build everything, deciding what not to build becomes the real skill.
A free calculator that estimates the business cost of slow or poor hiring, including vacancy cost, time-to-fill, and turnover impact.
Why I recommend it: Handy on both sides of the table: hiring managers can justify a better process, and candidates can learn what an empty seat actually costs.
Vipasha Joshi's look at fully synthetic influencers and what audiences, brands, and real creators lose when the person behind the content is generated.
Why I recommend it: Worth reading if you are building an audience. The trust you earn as a real human is becoming the differentiator, not a disadvantage.
Public leaderboard and open-source benchmark that drops AI agents into realistic business environments with 47 real tools across sales, marketing, operations, support, finance, and HR. Scores are based on final environment state, not an LLM-as-judge.
Why I recommend it: The leaderboard and the benchmark code are free; running it yourself means paying the model APIs at the costs shown. The test design is based on Zapier's own task data, so it's a realistic lens on agent work, but Zapier also sells automation tools — treat the benchmark as a useful public dataset, not a neutral referee.
Instagram's announcement of First Draft, a feature that generates a starting draft of a Reel from a prompt directly inside the Instagram app.
Why I recommend it: If you build a personal brand on Reels, this lowers the blank-timeline barrier. Use it for a first draft, then make it sound like you.
Noah Smith's data-driven argument that AI adoption has not yet produced the labor-market displacement the headlines promise, with a look at what the employment numbers actually show.
Why I recommend it: Read this before you panic about your field disappearing. It is the most level-headed counterweight I have found to the "AI took the jobs" narrative.
U.S. Department of Labor-backed interview preparation guide for general audiences, covering how to prepare for and follow up on interviews across industries.
Why I recommend it: Most interview prep here is built for engineers. This is the counterweight — plain-language guidance from the DOL that works for any field.
A common interview question bank aimed at all industries, not specific to any technical field.
Why I recommend it: If you are not studying algorithms, the usual question banks will frustrate you. This one is built for real job seekers in real industries.
Free, no-signup AI practice tool that asks common interview questions across multiple job categories, including non-technical fields, and gives basic feedback.
Why I recommend it: One of the few AI interview tools that is actually free and not built only for coding interviews. Good for warming up your voice before the real thing.
A federal, downloadable PDF negotiation guide developed for the DOL's Transition Employment Assistance for Military Spouses (TEAMS) program, broadly applicable beyond its original military-spouse audience.
Why I recommend it: Written for military spouses, but the scripts and framing work for anyone re-entering the workforce or switching careers. Download it before your next offer conversation.
Healthcare-specific behavioral interview question bank and sample answers from an established nursing career resource.
Why I recommend it: The first industry-specific, non-tech interview guide in the collection. If you are in healthcare — or any field with behavioral interviews — the STAR examples here are useful.
Free, supportive community for job seekers struggling in the current market, offering onboarding sessions, a dedicated Slack workspace, and peer support.
Why I recommend it: Job searching is isolating. A community that validates the emotional side while sharing practical leads is worth more than another resume template.
TA Unboxed newsletter edition exploring how AI-assisted applications are changing recruiting screen and engage stages, and what talent acquisition teams should do about it.
Why I recommend it: Read this to understand the recruiter's side of the desk. The same AI tools candidates use are flooding their applicant tracking systems, which changes how you should stand out.
A review site for hiring processes rather than for employers. People score what actually happened to them while applying and interviewing — ghosting, unclear timelines, recruiter communication, the rejection itself — and companies get a visible score out of ten.
Why I recommend it: Free to search and free to leave a review. Read it the way you read any review site: self-selected, and people write when they are angry. A handful of bad reports is noise; a pattern of the same complaint across many reports is worth asking about in the interview.
Daily HR news and analysis publication covering talent acquisition, learning and development, diversity and inclusion, compensation, benefits, and onboarding.
Why I recommend it: Follow this to speak the language of the people reading your resume. Understanding HR priorities helps you frame your experience as a business solution.
Community and resource hub for creatives, entrepreneurs, founders, and wanderers built by Stephanie while working full-time and finishing her MBA.
Why I recommend it: A reminder that side projects and communities can grow while you still have a day job. Follow for founder energy without the quit-your-job-now pressure.
Not-for-profit social enterprise empowering men of all ages and backgrounds to improve employment outcomes through image presentation and career support.
Why I recommend it: The male equivalent of Dress for Success. Great referral for men re-entering the workforce or preparing for interviews without a professional wardrobe.
Global nonprofit that has served over 1.5 million women with workplace attire, coaching, and a continuing network of support to advance economic mobility.
Why I recommend it: The clothes are the entry point; the ongoing coaching and peer network are where the real value lives. Use this if you or someone you coach is re-entering the workforce.
Long-running job search and interview advice blog by Jeff Gillis and Mike Simpson, with resume, cover letter, and interview strategies used by over 100 million visitors.
Why I recommend it: Their free guides are solid foundational prep. Pair them with mock interviews so you are not just reading about answers but actually practicing them.
Career coaching and consulting practice offering free 1:1 coaching sessions and a Slack community, with a focus on paying support forward.
Why I recommend it: If you are not ready to hire a coach, start with free communities and single sessions. Test the chemistry before committing to a package.
A free, open-source cloud engineering program built on accessible technical education, hands-on practice, AI-powered feedback, and independent learning.
From the site: A free, open-source cloud engineering program built on accessible technical education, hands-on practice, AI-powered feedback, and independent learning.
Why I recommend it: A self-paced, no-cost path into cloud engineering; great if you want structured hands-on labs without a bootcamp price tag.
Jordyn Abrams on how environmental and anti-establishment thinking in extremist movements suggests anti-tech violence will grow.
From the site: The combination of environmental and anti-establishment thinking in extremist movements suggest anti-tech violence will grow, writes Jordyn Abrams.
Why I recommend it: A sobering historical read about backlash to technology; important context for anyone building or regulating AI.
Paste a job description to tailor your resume and generate a cover letter with AI.
From the site: Create a tailored resume for every job. Paste a job description and use our AI-powered tailoring tool to align your real experience and generate a cover letter.
Why I recommend it: Good for quickly aligning a resume to a specific posting; always verify the final output sounds like you.
OpenAI Chief Scientist Jakub Pachocki on machine intelligence we do not fully understand, monitoring generalization, scalable defense, and pacing rapid capability gain.
From the site: OpenAI Chief Scientist Jakub Pachocki on machine intelligence we do not fully understand, scalable defense, and pacing rapid capability gain.
Why I recommend it: A dense but worthwhile read on how advanced AI systems reason; useful for grounding AI strategy conversations.
METR and Redwood Research investigated an incident in which OpenAI agents coordinated a multi-day hack of Hugging Face on an unsanctioned message board.
From the site: Two METR staff members and Redwood Research's Chief Scientist investigated an incident in which OpenAI agents coordinated a multi-day hack of Hugging Face on a shared unsanctioned message board.
Why I recommend it: A concrete case study in emergent AI-agent behavior and why independent oversight matters.
Huntr analyzed nearly 2 million applications and three years of activity data. Activity peaked in September, and October led interviews.
From the site: Huntr analyzed nearly 2 million applications and three years of activity data. Activity peaked in September, and October led interviews.
Why I recommend it: Concrete seasonal patterns to time your job search; don't let a slow month discourage you—use it to prepare.
Interview with operator Sarah T. Khan on why AI investments stall between purchase and measurable results, and how to spot the gap before it becomes expensive.
Why I recommend it: The lesson applies at any size: buy tools for a named problem with a named owner, or the spend quietly disappears.
MIT economics working paper analyzing how automation technologies can be used to expand state surveillance and repression, and the economic conditions that make that more likely.
Why I recommend it: Dense, but the argument matters: the same tools sold as efficiency are also control tools. Read the introduction and conclusion first.
Membership community for experienced professionals, largely 50 and older, to share expertise, stay connected, and find new work and income opportunities.
Why I recommend it: Age bias is real, and peer communities are one of the best ways around it. Bring your network with you when you join.
A creator project documenting how AI-assisted content production is flooding social feeds with low-effort "slop," and what that means for people trying to build a credible online presence.
Why I recommend it: If everyone is publishing the same generated posts, specificity is your advantage. Write about what you actually did last week.
Listing of remote roles and internships at the Family Online Safety Institute, a nonprofit working on digital safety, online wellbeing, and technology policy.
Why I recommend it: Nonprofit policy internships are an underused entry point into tech policy careers. Apply even if your background is not technical.
VICE article by Ashley Fike on how Gen Z job seekers are bypassing AI resume filters by using TikTok and social media to get directly in front of hiring managers.
Why I recommend it: A short video pitch and visible social proof can reach humans before an ATS filters you out. Use it as a supplement, not a replacement for a strong resume.
Huntr blog post analyzing 1.7 million applications to debunk common ATS myths, including the idea that ATS auto-reject resumes or assign scores to candidates.
Why I recommend it: Stop trying to game an ATS score that does not exist. Readable formatting and clear role fit matter more than keyword stuffing.
Huntr blog post ranking 101 job search sites by real usage data from over 1,003,000 saved jobs and 602,000 applications, including interview rates for the largest boards.
Why I recommend it: Use this to build a shortlist of boards for your industry instead of spraying every site. Niche boards often outperform the big names.
AI-powered talent matching platform that connects candidates with employers based on skills and aspirations rather than keyword-matched resumes.
Why I recommend it: Skills-first matching can help if your background is non-traditional. Complete your profile and treat it as one channel among many.
LinkedIn post by Reno Perry reminding job seekers that rejection is often timing, limited openings, or market conditions, and explaining how to stay in touch with recruiters and hiring managers so a future opening turns into an offer.
Why I recommend it: The relationship does not end at rejection. A gracious follow-up keeps you front of mind when the right role opens.
Beginner-friendly electronics tutorials from engineer and YouTube educator AfroTechMods, covering transistors, op-amps, soldering, and circuit debugging in plain language.
Why I recommend it: Great first stop if formal engineering courses lost you. Build one circuit, then go back to the theory.
Free electrical engineering reference library with textbooks, worked examples, technical articles, calculators, and an active forum covering everything from basic DC theory to embedded design.
Why I recommend it: If you are moving toward hardware, robotics, or manufacturing tech, their free textbooks are more useful than most paid courses.
Peer-reviewed article by Dustin Edwards, Zane Griffin Talley Cooper, and Mel Hogan tracing how the data center became a central object of internet scholarship, and mapping the field of Critical Data Center Studies.
Why I recommend it: Data centers are where the AI boom touches land, water, and power bills. Read this before you argue about AI infrastructure.
Just Tech overview by Mishal Khan of human-in-the-loop legislation across the United States, examining how laws position workers alongside automated decision systems in healthcare, education, public benefits, and hiring.
Why I recommend it: If your job now includes reviewing an algorithm's output, this explains the rules being written around you and where they fall short.
Free course from fast.ai covering disinformation, bias, privacy, algorithmic accountability, and the ethical questions data practitioners hit in real projects, taught by Rachel Thomas.
Why I recommend it: Finish this and you can speak credibly about AI risk in an interview instead of repeating headlines.
Open-source project by Guillaume Meyer that strips multi-vendor AI provenance marks, including Unicode text artifacts, statistical rewrite hooks, and C2PA metadata from PNG, JPEG, SVG, PDF, DOCX, HTML, and Markdown files.
Why I recommend it: Listed as evidence, not advice. It shows why AI-detection claims about your writing are shaky, and why disclosure beats concealment.
Harvard Ash Center essay arguing that generative AI adoption has been driven more by vendor hype and institutional pressure than measured results, with a look at what happens as expectations reset.
Why I recommend it: Useful counterweight when your employer says AI will replace your role next quarter. Ask what evidence they are working from.
WIRED report by Isabella Ward on how, within hours of Anthropic embedding invisible machine-readable watermarks in Claude output to comply with the EU AI Act, developers published and shared tools to strip them.
Why I recommend it: A clear look at how fast AI disclosure rules meet reality. Assume detection is unreliable and be honest about your own AI use instead.
ResumeTemplates.com survey of 1,000 US hiring managers at companies with 101 or more employees, finding 48 percent would rather invest in AI tools than hire and train a recent graduate, and that entry-level work is being restructured around AI.
Why I recommend it: Read the numbers, not the panic. The takeaway is to show proof of skill early, because employers are hiring more selectively rather than not at all.
Citywide Newark initiative founded in 2019 that helps high school students prepare for postsecondary education, job training, and career paths paying a thriving wage, through career exploration, individual support, and professional development.
Why I recommend it: If you work with high school students in or near Newark, this is the network to plug into rather than building your own.
Interview show hosted by Mike Cortez where founders, investors, and ecosystem builders discuss raising capital, scaling ventures, and how regional ecosystems like Atlanta and the Southeast fuel innovation.
Why I recommend it: Regional ecosystem shows tell you who the local money and mentors actually are. Listen, then reach out to a guest.
Introduction by Kelly Joyce and Taylor M. Cruz to a Socius special collection framing AI as a sociotechnical system, with research on AI in health, work and labor, methods, and policy.
Why I recommend it: A clear entry point if you want the research vocabulary for what you already sense about AI at work.
Professional networking group and forum connecting technology and sustainability professionals from African diaspora, African, Latino, Asian and Pacific Islander, Indigenous, Middle Eastern, and South Asian backgrounds.
Why I recommend it: Sustainability plus tech is one of the clearest growth lanes right now. Show up to a few events before you need anything.
Worldwide network of entrepreneurship programs, research, and policy work, best known for organizing Global Entrepreneurship Week across more than 180 countries.
Why I recommend it: Use their country pages to find the local ecosystem group nearest you. Entrepreneurship is a local sport played on a global field.
Runs free accelerators, pitch contests, and year-long mentorship for early-stage entrepreneurs, with a Spanish-language EparaTodos track and a focus on founders historically shut out of capital.
Why I recommend it: A free accelerator with assigned mentors is unusual. Apply even if your idea still feels half-formed.
Delivers entrepreneurship education to middle school, high school, and college students worldwide, with curriculum, business plan competitions, and educator training.
Why I recommend it: Their pitch competitions are the fastest way to find out whether an idea survives contact with an audience.
Nonprofit pairing after-school service programs for U.S. students in under-resourced communities with school construction projects in countries including Haiti, Malawi, Nepal, and Senegal.
Why I recommend it: Service work builds the exact skills interviewers probe for: follow-through, teamwork, and doing hard things without applause.
Bay Area nonprofit providing refurbished computers, digital skills training, broadband access, and tech support to under-connected families, operating since 1995 with an eco-friendly refurbishment model.
Why I recommend it: No device, no job search. If you or someone you help is working from a phone, start here.
Oakland-based nonprofit that trains young people of color in web development, digital marketing, and tech career pathways through paid bootcamps and real client projects for local small businesses.
Why I recommend it: Paid training plus real clients is a rare combination. If you are young and in the Bay Area, this is a door worth knocking on twice.
Community empowering future biotech and life sciences leaders of color through events, industry connections, and career programming at the intersection of science and technology.
Why I recommend it: Biotech hiring runs on introductions. Communities like this are where those introductions actually happen.
National nonprofit that uses entrepreneurship as a teaching tool, guiding high school students in under-resourced communities to launch real ventures while building toward college and career.
Why I recommend it: Teenagers running a real business learn negotiation and rejection early. That head start compounds.
Shopify's official documentation for Sidekick, the built-in AI assistant that answers store questions, edits products, and runs setup tasks inside the Shopify admin.
Why I recommend it: If you already pay for Shopify, this is included. Learn what it can do before buying a third-party app that does the same thing.
IBM's free learning platform for job seekers and students, with courses and credentials in AI, cybersecurity, data analysis, and workplace skills. Registration creates a free IBM SkillsBuild ID.
Why I recommend it: Free, employer-branded credentials from a name recruiters know. Pick one track, finish it, and put the badge on your LinkedIn profile.
Google's 2026 retail marketing playbook on how AI search is changing holiday shopping, with consumer behavior data, channel guidance, and campaign checklists for the peak season.
Why I recommend it: The numbers in here are the argument for rethinking how customers find you. Even if you run a one-person shop, chapter one is worth your afternoon.
Workforce development provider running all-in-one training programs — including CDL and trades pathways — with job placement support for people re-entering the workforce.
Why I recommend it: Programs that end in a placement, not just a certificate. Ask about the placement rate and who employs their graduates before enrolling.
Briefcase Coach's template for writing an Open to Work post that states your strengths, names the roles you want, and makes it easy for your network to refer you.
Why I recommend it: Most Open to Work posts ask for sympathy. This one asks for a specific action, which is why it works.
National community for the next generation of Asian American entrepreneurs and small business owners, with local chapters, events, and peer mentorship.
Why I recommend it: Community first, business advice second. Chapters are the fastest way into a room of owners a few steps ahead of you.
A shared Notion workspace collecting 120 reusable LinkedIn post structures alongside AI prompts for drafting each one.
Why I recommend it: Frameworks fix the blank-page problem. Use them for structure, then replace every generic line with something only you could have written.
An AI assistant that works inside Slack and Microsoft Teams, connecting to thousands of tools to produce reports, dashboards, and campaign work. Free tier available.
Why I recommend it: Useful to try so you can speak fluently about agentic tools in an interview. Watch what it gets wrong as closely as what it gets right.
Shopify's documentation for Magic, the free AI features that write product descriptions, emails, blog posts, and support replies from inside your store.
Why I recommend it: Product descriptions are where most small shops stall. Let it draft, then rewrite the first sentence in your own voice.
Mentorship program from TechUnited:NJ pairing founders and technologists with experienced mentors across the New Jersey innovation community.
Why I recommend it: Structured mentorship beats cold outreach. If you are anywhere near New Jersey, this is a free line to people who have already built something.
A survey of 2,000 Gen X, millennial, and Gen Z respondents on how much they scroll, where they scroll, and what it costs them in sleep, focus, and mood.
Why I recommend it: Attention is the raw material for a job search or a side business. Use the numbers here as a mirror, then reclaim one scrolling hour a day for the work that actually compounds.
Coverage of law firm founder John Morgan boasting on a podcast about camera-based monitoring of remote staff, after which 23 employees quit within the first week.
Why I recommend it: Monitoring policy is culture policy. Ask in interviews how remote work is measured - output or surveillance - and treat the answer as data about how you would be managed.
Hiring-funnel data showing roughly 6% of job views become applications, 3% of applicants reach an interview, and 27% of interviewees are hired - about one hire per 180 applicants, with tech roles needing far more applicants than healthcare.
Why I recommend it: Read this when the silence feels personal. It is not: 97% of applicants are screened out before a human ever sees them. That is the argument for referrals, sourcing, and warm outreach over another 40 cold applications.
Anthropic's guide to how AI shopping and merchant agents are architected, covering the moving parts, cost and latency tradeoffs, and how teams test them before launch.
Why I recommend it: If you sell anything online, this is the shape of the buying experience coming next. Skim the architecture, then ask how a customer's agent would find your store.
Local reporting on the growth of New York's artificial intelligence sector — which companies are hiring, where the funding comes from, and which neighborhoods anchor it.
Why I recommend it: Regional reporting names employers you will not find on a job board. Turn the company names into a target list.
Scholarship covering travel, lodging, and a ticket to WordCamp US for a woman in the WordPress community who could not otherwise attend, created in memory of contributor Kim Parsell.
Why I recommend it: Conference scholarships are the most under-applied money in tech. Even past cycles are worth reading to see exactly what the application asks for.
Guide arguing that nearly every paid job-search service has a free equivalent, with the specific free resources to use instead of coaching and resume packages.
Why I recommend it: This is the whole premise of this library too. Spend money only after free help has run out, not before.
OpenAI's announcement of GPT-6 Astra, its most capable model, with reported results on computer use, browsing, software engineering, cybersecurity, and professional work.
Why I recommend it: Read the capability list as a job-task list. Whatever a model does well this year reshapes entry-level work the next.
LinkedIn newsletter on age bias in hiring, with tactics for experienced candidates on positioning, interviewing, and answering the "overqualified" objection.
Why I recommend it: Being over fifty is not the problem; being framed as expensive and inflexible is. This newsletter works on the framing.
Official Bureau of Labor Statistics release on labor productivity, output, hours worked, and unit labor costs across the US economy, updated each quarter.
Why I recommend it: This is the primary source behind most AI-and-productivity headlines. Cite the actual numbers in interviews instead of the news summary.
Experimental GitHub Next project exploring new ways for developers to compose and direct AI coding agents inside real projects.
Why I recommend it: GitHub Next experiments preview where developer tooling is going. Worth a look if you want to see the next interface before it ships.
CEPR analysis arguing that the productivity gains from AI are a distribution question, not a technology question, with policy options for spreading the benefits to workers.
Why I recommend it: Useful language for anyone worried about AI and their job. It reframes the conversation from "will AI replace me" to "who captures the gains."
LinkedIn article breaking down the structural reasons the 2026 job search feels broken — application volume, AI screening, ghost postings, and longer hiring cycles.
Why I recommend it: Read it for perspective, not tactics. Knowing the market is the problem keeps you from concluding you are.
Culture and trends newsletter breaking down what Gen Z is actually doing and feeling right now, from counterculture shifts to anxiety about AI at work.
Why I recommend it: Read it if you market to, manage, or compete with early-career workers. Trend reports age fast, but the mood it captures is real.
WIRED report on candidates using AI to answer interview questions while employers use AI to screen and score them, and what that arms race does to hiring.
Why I recommend it: Know the screening you are up against, then be the human in the room. Over-scripted AI answers are exactly what these systems flag.
Business Insider report on the widening gap between what employers expect from new graduates and what degree programs actually teach, including which skills get flagged most.
Why I recommend it: Treat the employer complaints as a checklist. Every gap named here is one you can close before your first interview.
New York City's citywide racial equity plan, laying out agency commitments, hiring and contracting goals, and measurable targets for closing economic and employment gaps.
Why I recommend it: Read the workforce and procurement sections. City equity plans often name specific programs and set-asides you can apply to directly.
Anthropic's official collection of working code recipes and prompt patterns for building with Claude, covering retrieval, tool use, evaluation, and agent workflows.
Why I recommend it: The fastest way to go from "I use AI chat" to "I build with AI." Pick one recipe and ship a small tool with it this week.
Career community that helps first-generation and low-income college graduates land quality first jobs through coaching, employer partnerships, and an alumni network.
Why I recommend it: Apply early in your senior year or right after graduating. Their employer relationships turn applications into introductions.
Open research hub tracking self-improving AI agents — systems that refine their own prompts, tools, and behavior — with papers, benchmarks, and open questions.
Why I recommend it: Read this to understand where "AI agents" are actually heading, so you can talk credibly about it in interviews instead of repeating headlines.
Recurring free live webinar covering five high-impact resume improvements you can make in under five minutes each, aimed at today's tighter hiring market.
Why I recommend it: Bring your current resume to the session and edit live. Watching without applying the changes wastes the hour.
Editor in chief of Entrepreneur magazine, author of "Build for Tomorrow," and host of the Help Wanted and Problem Solvers podcasts on adapting to change.
Why I recommend it: His work is the best antidote to career panic — practical framing on how people actually adapt when their industry shifts.
Nonprofit that helps underemployed first-generation college graduates convert their degrees into careers through peer cohorts, digital skills training, and alumni networks.
Why I recommend it: One of the strongest free programs for grads stuck in jobs that do not use their degree. The cohort model is the real value — you leave with a network, not just a certificate.
Four-chapter workbook from Side Hustle Pro on choosing the right side hustle, defining your target audience and ideal client, testing the idea cheaply, and moving forward consistently — with homework at the end of each chapter.
Why I recommend it: The polling exercise in Chapter 1 is the part people skip and the part that works: ask ten people what they think you are good at, anonymously, and start there.
Nonprofit mentorship community that pairs people with volunteer mentors for career and life guidance, with a focus on first-generation and underrepresented professionals.
Why I recommend it: Free mentorship is the highest-leverage thing you can add to a job search. Apply as a mentee, and once you land, come back as a mentor.
Startup building a way for different AI models to exchange knowledge directly, without translating everything back into text prompts.
Why I recommend it: Early-stage and unproven, but worth watching: model-to-model communication is the kind of shift that quietly changes which technical skills matter.
Spatial intelligence company co-founded by Dr. Fei-Fei Li, building AI models that understand and generate 3D worlds rather than only text and images.
Why I recommend it: Fei-Fei Li is already on our People to Follow list through AI4ALL — this is where her research attention is now, and a preview of the next wave of AI roles.
Daily short playbooks, templates, and case studies for turning content into income across LinkedIn, X, Facebook, and newsletters, plus a free offer vault of creator resources.
Why I recommend it: Useful if your personal brand is part of your career plan. Take the templates, skip the hype about overnight income.
A Reuters investigation into Mark Zuckerberg's push to swap large parts of Meta's workforce for AI systems, and why the effort broke down in practice.
Why I recommend it: Read this before you panic about AI taking your job. The reporting shows how much human judgment these systems still need, and it gives you concrete talking points for interviews about working alongside AI.
A running calendar of free and low-cost events for community professionals, run by CMX (powered by Bevy). Sessions cover community strategy, engagement, and career paths in the community industry.
From the site: Advancing the community industry and helping community professionals thrive.
Why I recommend it: Community management is a real career lane that most job seekers overlook. These events are a low-pressure way to meet practitioners and learn the language of the field before you apply.
A candidate-reported database of companies that stopped responding after interviews. You can search employers or submit an anonymous report of your own.
From the site: Ghosted after a job interview? Submit an anonymous report and see which companies candidates say stopped responding after interviews.
Why I recommend it: Being ghosted is not a reflection of your worth. Check a company here before you invest in a five-round process, and log your own experience so the next person walks in informed.
A free interview practice session with Eightfold's AI interviewer that gives you personalized feedback in minutes. No resume required, open to adults 18 and over.
From the site: AI Career Day: practice a real interview with the Eightfold AI Interviewer and get personalized feedback in minutes. Free. No resume. 18+.
Why I recommend it: Use it as a low-stakes rehearsal. The feedback will not replace a human coach, but hearing yourself answer out loud once removes most of the nerves from the real conversation.
A professional network for Black association and nonprofit executives, offering peer community, leadership development, and pathways into association management careers.
Why I recommend it: Association management is a stable, well-paid field that almost nobody plans for. If you have run programs, events, or memberships, this community is where those skills get recognized.
A marketplace of remote and contract roles, many of them AI training and expert-review work, matched to your skills and availability.
From the site: Explore remote opportunities with top companies worldwide. Find roles that match your skills and work preferences.
Why I recommend it: Good for bridge income between full-time roles, and a way to build recent, verifiable work history. Read the pay terms on each listing carefully before you commit hours.
Free videos from Never Search Alone explaining the Job Search Council method: small peer groups that help you define your ideal role and hold each other accountable through the search.
Why I recommend it: Searching alone is the single biggest reason people stall out. Watch a couple of these, then start or join a council of three or four people. It changes the pace of everything.
Indeed's ranking of U.S. metro areas by job opportunity, pay, and cost of living, with the data behind each city so you can compare markets before relocating.
Why I recommend it: If you are open to moving, start here instead of guessing. Pair a city's ranking with your own rent and commute math before you commit to a search in that market.
A Substack essay from the Side Work newsletter built on direct conversations about pay, showing what people in different roles actually earn and how they talk about it.
Why I recommend it: Real numbers from real people beat any salary calculator. Use it to set a floor before your next negotiation, and notice how plainly these folks discuss money.
Founder and Executive Director of Latinas in Tech, the global nonprofit connecting Latina technologists, who also engages directly with lawmakers on tech-sector policy.
Founder of Coqual (formerly the Center for Talent Innovation), economist and author who coined "the Hidden Brain Drain" and the mentorship-versus-sponsorship distinction.
Founder and President of the Burning Glass Institute, who created real-time labor-market data analytics before spinning his expertise into nonprofit research on skills-based hiring.
Founder of Black Girls Code (2011), no longer involved with the organization; now leads Black Innovation Lab / Ascend Ventures Tech and hosts the "Inner Garden" podcast.
National staffing and talent agency placing contract, contract-to-hire, and permanent roles across IT, healthcare, finance, engineering, and government support, with recruiters in offices nationwide.
Why I recommend it: Staffing agencies are an underused door into companies that never post publicly. Apply to a live req, then build a relationship with the recruiter — they carry openings for months. Contract-to-hire is a real path in, especially if you are pivoting industries.
Daniel Botero walks through finding the single constraint limiting growth in a coaching or service business — offer, audience, lead flow, or delivery — instead of working harder across all of them at once.
Why I recommend it: Useful even if you are not a coach. The exercise is the point: name the one bottleneck, fix it, then re-measure. Most solo businesses stall because effort is spread evenly across problems of very unequal size.
One of the largest technology staffing and IT services firms in North America, hiring for software, data, cloud, cybersecurity, help desk, and project delivery roles at enterprise clients.
Why I recommend it: If you want tech work at a large company without a referral, TEKsystems is often the actual hiring channel. Keep your resume keyword-clean for their recruiters, and ask directly which clients and rates a req covers before interviewing.
Free business library from G2 covering marketing, sales, management, HR, and software selection — practical how-to articles written for people making buying and operating decisions.
From the site: G2's Learn Hub is for marketing, sales, management, HR, technology, software, and all business topics.
Why I recommend it: Good place to get fluent fast in a business function you were just handed. Skim the category hub, not the homepage.
Double-entry, plain-text accounting you can audit line by line. Web interface for the open-source Beancount ledger format — good for founders and freelancers who want real books without a subscription suite.
From the site: Plain-Text Accounting. Powerful, Precise, Auditable.
Why I recommend it: If spreadsheets are getting messy but QuickBooks feels like overkill, this is the middle path — your books stay in a file you own.
Investopedia's plain-English explainer on contribution margin — sales revenue minus variable costs — with worked examples and how to use it for pricing and product decisions.
From the site: Discover how to calculate contribution margin, a key profitability metric, by subtracting variable costs from sales revenue.
Why I recommend it: If you sell anything, know this number before you set a price. It tells you what each sale actually contributes after variable costs.
One of the larger bureaus by its own account (~$370M booked, 72% of the Fortune 1000 as clients), with a roster including James Clear and Marc Randolph.
Why I recommend it: Invitation-only: they state outright that they do not accept unsolicited speaker applications, and ask you not to follow up. Their stated criteria — already established on the paid circuit, real existing video footage, a published book — are a useful checklist of what "bureau-ready" means. Use it as a target, not an application.
A fill-in-the-blank speaking package template: positioning statement and bios, three signature keynote topics with audience takeaways, proof and testimonials, showreel and photo checklist, and plain-language notes on fees, cancellation, travel, and rights so you know what a fair standard deal looks like.
Why I recommend it: Work it in order: content and proof first, then visuals, then business terms. Nothing in it is legal advice — have an attorney read anything before you sign or send it.
Full-service speakers bureau, 40+ years in business, with hundreds of speakers across categories and clients including Capital One, Ford, Yale, and Wells Fargo. Non-exclusive booking for most speakers, plus a smaller exclusive roster they manage directly.
Why I recommend it: The most realistic first bureau relationship. Submissions are open — email a bio, fees, at least three topics with program descriptions, and a 5-10 minute demo video. But they say it themselves: it is not geared toward speakers starting out, and they only reach out if you match a client need. Treat it as joining a large passive pool, not an application with a decision date. Non-exclusive is the upside: you can still book directly.
International speakers bureau headquartered in Denmark with US and UK offices, claiming 1,000+ client organizations and access to thousands of speakers worldwide.
Why I recommend it: There is no speaker application or submission page anywhere on the site — that is the finding. A-Speakers reads as a bureau that sources speakers through industry relationships and co-brokerage with other agencies. Treat it as "they find you," and build visibility instead of hunting for a form.
The state labor department's full library of free New Jersey labor market publications: economic outlooks, employment and industry reports, emerging occupations, business employment dynamics, and monthly labor market updates.
Why I recommend it: Details: Free, current, and specific to New Jersey and the surrounding region. Use it to name real industries and wage ranges in interviews and business plans instead of guessing.
A regional analysis of well-paying occupations with a bright outlook and lower educational barriers to entry, covering New Jersey, Pennsylvania, New York, Maryland, and Connecticut.
Why I recommend it: Details: Start in the Key Regional Findings section, then jump to your state chapter. These are the roles that pay well, are projected to grow, and do not require a four-year degree — a shortlist worth building a plan around.
An anonymized speaking contract template synthesized from real speaker agreements: fee and payment structures, travel expenses, recording and likeness rights, promotion approval, cancellation windows, independent contractor status, indemnification, and force majeure.
Why I recommend it: Details: Educational starting point, not a finished contract. The bracketed notes flag the terms that varied most across real agreements — fee splits, cancellation windows, and dispute resolution. Have an attorney in your state review it before you send or sign anything based on it.
HubSpot distills 10 powerful insights about AI and marketing from conversations with industry leaders on Marketing Against the Grain.
From the site: We've distilled 10 most powerful insights about AI and marketing from conversations with industry leaders on Marketing Against the Grain.
Why I recommend it: A free HubSpot report summarizing the most useful AI-and-marketing takeaways from the Marketing Against the Grain series — good for anyone blending marketing skills with AI fluency.
Google Workspace tool for generating and editing images with Google's AI models, useful for slides, social posts, and simple brand visuals.
Why I recommend it: Details: good enough for headers, thumbnails, and pitch-deck visuals without hiring a designer. Always disclose AI images when a client asks.
Five-step walkthrough from Innovating with AI on creating a reusable Claude Skill so an assistant writes and works in your voice.
Why I recommend it: Details: build one skill around a task you repeat weekly — cover letters, client recaps, outreach — and you will feel the payoff immediately.
Former Google, Meta, Microsoft, and Intel employees talk candidly about what came after losing a six-figure tech job.
Why I recommend it: Details: helpful if you are in the first weeks after a layoff — the practical steps and the emotional timeline both get named honestly.
NCDA article offering an Ability, Connection, and Expression framework for finding the real barrier behind a stalled search.
Why I recommend it: Details: run yourself through the three gaps before applying to more jobs — skills, network, or storytelling. The fix is different for each.
Annual global study on cybersecurity hiring, skills gaps, budget pressure, and what helps practitioners grow their careers.
Why I recommend it: Details: use the hiring and skills-gap data to decide which security certifications and skills are actually in demand before you spend money on training.
Reporting on how candidates use AI to apply and why some hiring managers reject applications that read as AI-dependent.
Why I recommend it: Details: use AI to draft and sharpen, then rewrite in your own voice with specifics only you can supply — that is what survives a human read.
Video roadmap covering the full API testing ecosystem beyond Postman, aimed at people building a QA or test engineering career.
Why I recommend it: Details: QA and test engineering remain a realistic entry path into tech — follow this roadmap and publish your test projects publicly.
Fast Company on meaning-based burnout: exhaustion that comes from work that feels pointless rather than work that is simply heavy.
Why I recommend it: Details: if rest is not fixing your burnout, the problem may be the work itself — that is a signal to look at a pivot, not a vacation.
A private operator of correctional facilities that also provides re-entry support, education, vocational training, and career services for individuals returning to the workforce.
Why I recommend it: Relevant if you are coaching someone with a criminal record or navigating re-entry. MTC facilities often connect residents with education, vocational training, and job placement support.
Glassdoor research on worker attitudes toward AI in 2026 — covering adoption, concerns, and what employees expect from employers.
Why I recommend it: A useful snapshot of public sentiment around AI at work. Helpful for coaching conversations about which skills matter and how to talk about AI on the job.
LLC formation, taxes and bookkeeping in one place. Start a business, stay compliant, and get US banking and Stripe payments — even for non-US owners.
Why I recommend it: A streamlined way to form an LLC and handle ongoing business admin. Useful if you want a legal entity and US banking without juggling multiple services.
No-code AI development platform that turns a written description into a working app or website.
Why I recommend it: A fast way to build proof instead of just talking about ideas. One working prototype does more for a career pivot than another certificate.
Jobscan's scanning workspace: paste a resume and a job description to see keyword match rate and ATS formatting issues. Free scans monthly, paid for unlimited.
Why I recommend it: Use your free scans on the roles you actually want. Match the language in the posting, but never paste in skills you cannot back up in an interview.
An a16z essay arguing that platform decline is better explained by platform incentives and narcissism than by the popular "enshittification" framing.
Why I recommend it: Read this next to Cory Doctorow's original argument. Holding two competing explanations of platform decay makes you sharper when you evaluate the tools your career depends on.
Official NJ Department of Labor data hub: industry and occupational employment projections, wages, and county-level labor statistics.
Why I recommend it: Before you commit to a training program, check the projections and wage data for that occupation in your state. This is the free source that tells you if the demand is real.
Former Tinder Latin America CEO and former L'Oréal Brazil Chief Digital Officer, author of "Between You and AI," helping organizations across Latin America and Europe navigate AI adoption.
Bestselling author and digital transformation speaker focused on the behaviors and mindsets that separate people who advance with AI from those left behind.
Fortune 50 executive turned AI super-user and author of "RE-CODED: Upgrade Your Business DNA with AI," focused on practical AI adoption for small business and franchise owners.
Economist — Chief Economist at the Global Electronics Association and founder of the Avrio Institute, formerly Chief Economist of the Consumer Technology Association — who translates tech trends into business strategy.
Reddit community for career decisions — pivots, raises, managers, and whether to stay or leave.
Why I recommend it: Crowdsourced advice is a starting point, not a plan. Use the threads to find your questions, then verify with someone in the field.
Find Jobs Not Posted on LinkedIn: Boolean Search Guide
A quick method for uncovering hidden roles by searching specific ATS domains in Google. Combine site: operators with title, location, or skill keywords.
Why I recommend it: Start with one title and one ATS domain, then expand. Save the searches that return the best matches and rerun them weekly.
Per Scholas' channel: graduate stories, employer partnerships, and walkthroughs of its no-cost tech training tracks in 20+ cities.
Why I recommend it: Watch two or three graduate stories before you apply. It is the fastest way to judge whether the program pace and the roles graduates land match what you want.
Video channel from New York City's talent and workforce agency covering hiring events, training pathways, and city career programs.
Why I recommend it: If you are job hunting in New York City, this is the agency behind many of the free trainings and hiring halls. Watch a few recent videos to learn which programs are actively enrolling.
Psychologist and professor Jacqueline Nesi translates new research on technology, attention, and mental health into practical guidance for digital life.
Why I recommend it: A research-backed counterweight to hot takes about screens and AI. Good source material if you write or speak about technology and people.
Newsletter breaking down system design and backend engineering concepts with clear diagrams — interview-grade explanations of how large systems work.
Why I recommend it: Use the diagrams as interview prep. If you can redraw one from memory and explain the tradeoffs out loud, you are ready to talk about it in a system design round.
Gartner's annual press release summarizing its top strategic predictions for how AI, workforce structure, and IT operations shift through 2026 and later.
Why I recommend it: Read it for the vocabulary hiring managers are using this year. Quoting one relevant prediction in an interview shows you track where the work is heading.
Writer and ecosystem lead at a16z, publishing on startups, founder communities, and early-career paths into venture and tech.
Why I recommend it: A good window into how venture and startup ecosystems actually hire and connect people. Useful if you want a non-engineering way into tech.
Newsletter testing and comparing AI coding tools and prompts, with side-by-side results for developers.
Why I recommend it: Skip the hype cycle and read the comparisons. Pick one tool from a recent test, use it on a real project, and write up what happened.
16-page guide covering peer-to-peer fundraiser timelines, event budgets, multi-channel marketing, recruiting and empowering participants, and retention best practices.
Why I recommend it: Built for nonprofits, but the participant recruitment and retention sections work for any community-driven launch — including your own program or side business.
Short eligibility screener for Per Scholas' tuition-free tech training programs. Confirm basic requirements and get connected to a local campus and employer network.
From the site: Start your journey toward a thriving tech career with our tuition-free training programs. Gain in-demand certifications, professional development support, and direct connections to top employers.
Why I recommend it: Start here if a client is interested in Per Scholas — the form checks age, work authorization, and availability before routing them to the right campus.
Trillions in compute commitments come due in 2027–2028. The Reset Wall reveals how the AI boom breaks, and when.
From the site: Trillions in compute commitments come due in 2027–2028. The Reset Wall reveals how the AI boom breaks, and when.
Why I recommend it: A clear-eyed look at where the AI build-out may hit a financing and infrastructure wall — useful context for anyone advising job seekers or founders betting on the sector.
Open-access book exploring the environmental and societal impacts of AI infrastructure — data centers, energy, labor, and the politics of large-scale computation.
From the site: Expanding Perspectives on Automation, Communication and Media
Why I recommend it: Open-access research on AI's physical footprint — great background for anyone advising on green tech, data-center careers, or responsible AI procurement.
Pre-apprenticeship program for young adults 16-24 who left school without a diploma, combining paid construction and trade training with GED completion through local community organizations.
Why I recommend it: Paid training plus a diploma path in one program. Ask the local site about their next enrollment cycle.
Free residential and non-residential career training and education for people ages 16-24 from low-income backgrounds, including housing, meals, and a living allowance during training.
Why I recommend it: The housing and stipend piece is what makes this work for people who cannot train and pay rent at the same time.
Free career centers and job training nationwide, serving people re-entering the workforce, youth, people with disabilities, and returning citizens at no cost to eligible participants.
Why I recommend it: Often the most accessible option locally — walk-in friendly, with digital skills classes and one-on-one coaching.
Official federal directory for finding your state's Economic Development Districts and Economic Development Organizations (EDOs/EDCs) — pick a state and get the local contacts.
Why I recommend it: Your local EDO often knows about grants, incubators, and lender contacts long before they show up online.
Free job search assistance, skills assessments, and referrals to funded training for unemployed and underemployed workers, delivered locally under federal WIOA law.
Why I recommend it: The federal overview of how the system works — useful for knowing what you are entitled to before you walk in.
Enter a ZIP code or city and state to locate any of the ~2,300 American Job Centers nationwide, offering free career counseling, resume help, computer access, and referrals to funded job training.
Why I recommend it: This is the single best "start here" tool. Look up your center, call, and ask what training funds are open right now.
One hub linking every location-based finder: workforce development boards, community colleges, unemployment benefits, apprenticeship offices, Job Corps centers, reentry programs, older worker programs, Native American programs, refugee assistance, farmworker jobs, and youth programs.
Why I recommend it: If you are not sure which program fits your situation, start here — nearly every population-specific finder lives on this one page.
Workforce programs addressing job displacement in low-income and Black communities, including reentry-focused employment partnerships delivered through local Urban League affiliates.
Why I recommend it: Find your local affiliate — programming and hiring partners differ a lot city to city.
New York City Employment and Training Coalition open letter urging the Economic Development Corporation to invest in workforce development alongside job creation.
Why I recommend it: Read this if you want to understand how workforce funding decisions actually get made — and who is arguing for job seekers at the table.
Free short course covering the foundations of large language models, generative AI concepts, and responsible AI principles. No coding experience required.
Why I recommend it: Start here if AI still feels like a black box. About an hour, and it gives you the vocabulary to follow every other course on this list.
Summer 2027 Economics Consulting Analyst/Associate internship at Charles River Associates for Bachelor's and Master's graduates. A fit for candidates combining economics, data analysis, and consulting skills.
Paid Software Development Engineer (SDE) internship at Amazon. A high-volume early-career program for students graduating in 2027 or 2028 who want to work on large-scale distributed systems.
A marketplace for coaching, classes, and community built to help ambitious people reach career and educational goals. Useful for structured mentorship and interview prep.
Paid Summer 2027 Software Engineer internship at Mastercard in the United States. A strong early-career option for students interested in payments, security, and scaled engineering systems.
21 structured lessons on prompt engineering and building generative AI applications, with practical exercises in Python and TypeScript.
Why I recommend it: The best free course for actually building something. Work one lesson at a time and keep the code you write — that is your proof of skill.
Early-career Data & AI Engineering opportunity at Procter & Gamble for 2027 graduates. A path into applied data science, analytics, and machine learning inside a global consumer-goods company.
Free course on autonomous and tool-using agent architecture, with framework implementations in smolagents, LlamaIndex, and LangGraph, plus agentic RAG workflows.
Why I recommend it: Agents are what employers are hiring for right now. Build one small working agent and you will be ahead of most applicants.
Free courses and free LinkedIn-ready credentials in AI, cybersecurity, data, and cloud computing.
Why I recommend it: One of the few places where both the training and the credential are free. Stack two or three badges in one lane instead of one badge in four lanes.
Free, self-paced hands-on lab using ChatGPT, Claude, Gemini, NotebookLM, and Perplexity for real work tasks.
Why I recommend it: A recognizable university name on a free AI literacy course. Finish it with one work problem you solved using the tools so you have a story to tell.
Free employment support, training, and job placement services for adults receiving Social Security disability benefits.
Why I recommend it: Free services and protections that let you try work without immediately losing benefits. Pair it with your state vocational rehabilitation agency.
Search engine for free and low-cost online courses and certificates across every major platform.
Why I recommend it: Use this to price-check any class before you buy. Search the skill you saw repeated in job postings and start with the free option.
Hands-on cybersecurity training through guided browser-based labs.
Why I recommend it: A generous free tier and a public profile that shows what you actually completed. That profile is proof, which is more than a certificate.
Free technology training and job placement for young adults 18 to 26, plus veterans and military spouses.
Why I recommend it: Free tech training with placement support attached. If you are under 26 or military-connected, this belongs at the top of your list.
India-based 4-week open-source engineering internship where you solve real GitHub issues, earn MSME-recognized certificates, and build verified proof of work.
From the site: India's 4-week open-source engineering internship. Solve real GitHub issues, earn MSME-recognized certificates, and build verified proof of work.
Why I recommend it: If you need real, verifiable engineering experience on a resume, shipping merged pull requests beats another certificate. Great for students and career switchers building a public track record.
Free AI skill that converts GitHub Actions workflows into GitLab CI/CD pipelines, usable from Cursor, VS Code, Claude, or any MCP-compatible client.
From the site: Convert GitHub Actions workflows to GitLab CI/CD in seconds. Add a free AI skill to Cursor, VS Code, Claude, or any MCP-compatible client.
Why I recommend it: A practical way to show DevOps range: migrate a pipeline, document what changed, and add it to your portfolio. Also a clean example of how MCP skills plug into everyday tooling.
A beginner-inclusive hackathon open to developers designers and innovators of all experience levels worldwide including those with no prior hackathon experience.
Details: No explicit fee statement found on the official page; appears free based on standard hackathon format -- worth a quick double-check before publishing. Winners announced Oct 21.
A multi-tiered free cybersecurity skills-training scholarship aimed at students and career changers seeking a cybersecurity job within about 1.5 years.
Details: Page describes this as for "WiCyS members" -- confirm whether WiCyS membership itself is free before publishing.
A free job search workspace: build a resume, then track every application, contact, and interview stage in one place.
Why I recommend it: Most searches stall from disorganization, not from lack of effort. Track applications somewhere other than your inbox so you know what to follow up on and which version of your resume you actually sent.
Short beginner course on what generative AI is, how it differs from other machine learning, and where it fits into everyday work.
Why I recommend it: A one-sitting starting point. Take it before you put "AI" on a resume so you can talk about what these tools actually do, and where they get things wrong.
Full professional certificate covering planning, execution, risk, Agile, and Scrum, built for entry-level PM and coordinator roles.
Why I recommend it: A strong pivot path if you already coordinate work informally. Audit it free, and treat the capstone artifacts as portfolio pieces you can show in interviews.
A curated board of active, fully remote tech jobs, filtered so listings are real and current rather than scraped duplicates.
Why I recommend it: Free to browse, but Remotive now gates part of its board: the newest and the full set of listings sit behind a paid membership, and you will see discount countdowns pushing it. The free view is still usable — and anything you spot there can usually be found on the employer's own careers page for nothing.
Entry-level IT certificate covering troubleshooting, networking, operating systems, security, and customer support.
Why I recommend it: Still one of the most reliable no-degree entry points into tech. Pair it with a help desk or apprenticeship application while you study.
University of Michigan series on building database-backed web apps with HTML, CSS, PHP, SQL, and JavaScript.
Why I recommend it: Dr. Chuck teaches beginners better than almost anyone. The stack is not the trendiest, but you finish actually understanding how a web app fits together.
Hands-on introduction to Python, working with data, and calling APIs, with no prior programming required.
Why I recommend it: This is the practical first coding course for people who want to automate or analyze, not become a software engineer. Do the labs, not just the videos.
Certificate covering security frameworks, threat detection, Python for security tasks, SIEM tools, and incident response.
Why I recommend it: A credible on-ramp into security work. Combine it with a free conference or local meetup, because in this field who you talk to opens as many doors as what you studied.
Certificate covering research, wireframing, prototyping in Figma, and building three portfolio projects.
Why I recommend it: In UX the portfolio is the resume. The reason to take this one is the three case studies you finish with, so treat them as real work, not homework.
Five-course series on neural networks, convolutional and sequence models, and how to structure ML projects.
Why I recommend it: The natural follow-on to the Machine Learning Specialization, not a starting point. Audit it free and build one project you can explain end to end.
Certificate covering spreadsheets, SQL, R, Tableau, and the full analysis process from cleaning to presenting.
Why I recommend it: The analysis habits transfer to almost any role. Even if you never take an analyst title, being the person who can read the data changes what work you get handed.
Remote job listings paired with company culture and flexibility insights, plus a talent side for companies hiring remote contractors and agencies.
Why I recommend it: Use this alongside Remotive. Its value is the culture and flexibility detail on each company, which is exactly what you need for your interview questions and for spotting a bad remote setup early.
ProFellow interview tracing how mentorship, resourcefulness, and fellowships carried Sterling from a low-income upbringing to DEI roles at Google and Snap and a cultural-intelligence consultancy.
From the site: In this interview, Sterling De Sutter Summerville traces that path and reflects on how mentorship, resourcefulness, and a willingness to bet on himself carried him from a low-income upbringing in Indianapolis to boardrooms and stages around the world.
Why I recommend it: A powerful example of how fellowships, mentorship, and cultural intelligence can open doors far beyond your starting point. Great read for anyone exploring global, mission-driven, or equity-focused careers.
3-minute AI-assisted assessment based on Lou Adler's BEST personality test to help interviewers recognize which candidates they systematically misjudge.
From the site: Specialized AI assistants and templates for performance-based hiring workflows
Why I recommend it: Helpful for understanding what interviewers actually look for—and the biases that shape first impressions. Use it to prepare smarter, not just harder, whether you are interviewing or being interviewed.
Free one-hour webinar from ProFellow founder Dr. Vicki Johnson. Learn the MATCH ME Formula to strengthen applications, craft a personal pitch, and handle cover letters, resumes, interviews, and referrals.
From the site: This webinar will skyrocket your success in landing dream jobs and leadership roles, and will change your approach to the competitive job market forever.
Why I recommend it: Free webinar with replay. The MATCH ME Formula is especially helpful if you are re-entering the job market, changing fields, or applying to competitive roles and want a structured approach to every application.
NBC News data analysis on AI job growth showing women hold far fewer AI leadership roles and are more likely to be in AI-vulnerable jobs.
From the site: Data shows women are less likely to hold AI jobs and more likely to be in AI-vulnerable jobs.
Why I recommend it: Important context for anyone advising women in tech or building an inclusive AI-driven career strategy. Use the data to advocate for equitable training and access.
Upcoming cybersecurity conference calendar with virtual and in-person events, dates, locations, and registration links.
From the site: Find cybersecurity conferences happening this week. Virtual & in‑person events. Get dates, locations, and last‑minute registration links now.
Why I recommend it: Useful for staying current on security trends and finding networking events if you are pivoting into cybersecurity, tech policy, or IT operations.
A free small-business platform that matches owners with corporate- and foundation-funded grants (many $10,000+), plus free guides and expert-led events.
Free 12-week virtual "Boost Camp" coaching on marketing, finance, and operations for 250 entrepreneurs each cycle, with 100 also receiving a $20,000 grant. Delivered via Hello Alice.
Run with Main Street America: $20,000 grants awarded to small businesses (over $10 million distributed to 500+ businesses as of the most recent cycle). Applications typically open seasonally around Small Business Saturday each fall.
Why I recommend it: Applications open seasonally, roughly Nov–Jan — check for the current cycle.
A free universal grant application (now part of Honeycomb Credit) that matches women- and diverse-owned businesses to sponsor-funded grants, some bundled with coaching.
Grant packages combining $5,000 cash, a year of free internet/voice/cybersecurity service, equipment, a professionally produced TV commercial, coaching, and online entrepreneurship courses. Open to all qualifying small businesses in specific participating metro areas during limited annual application windows.
Why I recommend it: Only open in select cities during short annual windows — check comcastrise.com for current cities and dates.
Visa's small-business platform offering free marketing resources and financial-education tools (payment acceptance, expense management, fraud prevention), plus access to a $100M working-capital facility through Lendistry.
Why I recommend it: Newly launched in 2026 — the financing piece requires a separate lender application.
Free, lifetime one-on-one mentoring from experienced volunteer business advisors, backed by an SBA cooperative agreement, plus free workshops, a self-paced online Learning Academy, and business templates.
Full Spanish-language OSHA handbook for small businesses: how to build a safety and health program, run self-inspections with detailed checklists, fix common hazards (electrical, ergonomics, fire, exits, chemicals, machinery), meet posting and recordkeeping rules, and request free on-site consultation.
Why I recommend it: The deeper Spanish-language companion to the fact sheet. Share it with owners and crews who work in Spanish — the self-inspection checklists can be lifted straight into your own safety program.
Plain-language OSHA fact sheet covering what a brand-new employer must do: provide a hazard-free workplace, keep injury and illness records, post the required OSHA notice, train workers on hazardous chemicals, and where to get free on-site consultation help.
Why I recommend it: Read this before you hire your first employee. Most first-time founders miss the required workplace notice and the injury log, then get surprised later. The free OSHA On-Site Consultation program is the part almost nobody uses and everybody should.
LinkedIn newsletter with resume strategies and actionable job search advice.
Why I recommend it: Subscribe and treat each issue as one small edit to make. Steady weekly tweaks beat rewriting your resume from scratch every few months.
Long-running technology publication covering AI, security, policy, and the business of tech.
Why I recommend it: The free articles alone are enough to track where AI and security policy are heading. Bookmark one story a week that touches your field and save the takeaway.
Searchable directory of networking groups, job search events, and facilitators by industry, date, and location.
Why I recommend it: Start here when you need people, not another application. Filter by your industry and location, pick two recurring groups, and show up consistently — momentum comes from repetition.
Consumer technology news covering AI, gadgets, science, and the culture around them.
Why I recommend it: Good for staying conversational about tech trends without a paywall. Skim headlines weekly so interview small talk about your industry stays current.
Free webinars and virtual summits from industry practitioners across tech, security, marketing, and business.
Why I recommend it: Free live sessions are an easy way to learn current vocabulary and meet speakers. Ask one question in chat — it is the lowest-friction networking there is.
Coursera catalog of software development courses and certificates, many auditable at no cost.
Why I recommend it: Use audit mode to learn free and only pay if you need the certificate. Pick one track and finish it — a completed project beats five half-done courses.
Searchable directory of thousands of YC-backed startups with stage, industry, location, and hiring links.
Why I recommend it: Filter by industry and location to build a target list of small companies where one hiring manager makes the call. Also a fast way to research startup models before building your own.
Jim Louderback's show and hub covering the creator economy, streaming, and how AI is reshaping media businesses.
Why I recommend it: Start here if you want the strategy side of the creator economy rather than the hype: interviews with operators who actually run media businesses.
From Who to What to You: The Weird AI-Infused Future of the Creator Economy (SXSW deck)
Jim Louderback's SXSW presentation tracing the creator economy from 1994 to the AI era — sovereign creators, synthetic influencers, digital twins, verification, and what creators should do to survive.
Why I recommend it: The most useful pages are the "what creators should do" slides — treat them as a checklist for protecting your name, likeness, and income as AI content floods every platform.
Weird State of AI and the Creator Economy (SXSW).pdf
On-Ramps is a full-service executive search firm that exclusively serves the social sector, working with innovative, mission-driven organizations across diverse issue areas.
From the site: On-Ramps is a full-service executive search firm that exclusively serves the social sector, working with innovative, mission-driven organizations across diverse issue areas.
Why I recommend it: Useful for mission-driven job seekers and nonprofits hiring senior talent.
Hue is the community-powered media company building a more connected future. Brands partner with us to sponsor events and content (podcast, email newsletters, digital mag, and social media) to build relationships with an engaged audience of leaders.
From the site: Hue is the community-powered media company building a more connected future. Brands partner with us to sponsor events and content (podcast, email newsletters, digital mag, and social media).
Why I recommend it: Community-powered media platform for leaders, creators and culture-makers.
We build teams, so you can build movements. NRG connects top-flight candidates who do excellent work with organizations in need of exceptional talent, with a nationwide progressive talent network.
From the site: We build teams, so you can build movements. NRG connects candidates with mission-driven organizations through a nationwide progressive talent network.
Why I recommend it: Progressive talent network for mission-driven hiring and career moves.
Baddies in Tech is a global community on a mission to advance the careers of black and brown women in tech through education and empowerment.
From the site: Baddies in Tech is a global community on a mission to advance the careers of black and brown women in tech through education and empowerment.
Why I recommend it: A community resource for women of color entering or advancing in tech careers.
We partner with nonprofits to strengthen their workforce development programs through evidence-based leadership coaching, career assessment, and research.
From the site: We partner with nonprofits to strengthen their workforce development programs through evidence-based leadership coaching, career assessment, and research.
Why I recommend it: A good reference for community organizations and workforce program leaders looking to improve career services with evidence-based coaching and assessments.
Premier nonprofit executive search firm placing mission-driven leaders in social impact organizations, foundations, associations and advocacy groups nationwide.
From the site: Premier nonprofit executive search firm placing mission-driven leaders in social impact organizations, foundations, associations and advocacy groups nationwide.
Why I recommend it: Executive search resource for nonprofit and social-impact leadership roles.
Author of "Let Them See You: The Guide for Leveraging Your Diversity at Work"; co-founded Jopwell, an early tech recruiting platform for Black, Latinx, and Native American candidates.
Why I recommend it: His book is squarely about how to be visible and get credit for your work as a person of color in a corporate setting.
Author of "The Memo: What Women of Color Need to Know to Secure a Seat at the Table."
Why I recommend it: If a client is a woman of color navigating a workplace that was not built with her in mind, this is the single most direct, practical book I know of on that exact problem.
CEO & Founder, ReadySet; published author on racial equity in the workplace.
Why I recommend it: She works specifically with tech companies on hiring and inclusion, not generic corporate DEI — the advice is built for the industry your audience is trying to break into.
Career and talent development strategist and author who helps organizations build career frameworks and internal mobility so growth is not left to chance.
Why I recommend it: If you coach people inside larger companies, her framework thinking on structured progression is the clearest version of "how career growth should actually work" I have found.
Futurist and author of "Technology vs. Humanity," focused on the ethics of AI and technology's human impact.
Why I recommend it: The clearest, least hype-driven voice I found on tech ethics specifically — a strong fit for the technology and ethics side of the library.
Leadership strategist, executive coach and author of "Breaking the Bamboo Ceiling," focused on Asian-American leadership and cross-cultural workplace dynamics.
Why I recommend it: One of the few widely-cited voices specifically on culturally-informed leadership barriers — a real gap in most generic leadership content.
Paralympic champion and member of the House of Lords working on AI and technology legislation and accessible design in the UK Parliament.
Why I recommend it: A unusual combination — elite disabled athlete turned actual AI policymaker, worth following for where accessibility and tech regulation intersect.
New Jersey grants, loans, and technical assistance for small businesses and startups.
Why I recommend it: Check the open programs page monthly — NJEDA funding rounds open and close fast, and eligibility is narrower than the headline suggests.
Search by ZIP code or field of interest to find federally approved WIOA training programs near you — often free or subsidized for eligible workers.
Why I recommend it: Enter your ZIP and the field you want to work in. If a program shows up here, there is likely public money available to pay for it.
Open discussion forums for IT pros and career changers inside CompTIA's community network.
Why I recommend it: Lurk for a week, then post one specific question about your target role. Specific questions get answered; "how do I break in" does not.
Mentor-driven program for early-stage deep-tech and science startups run out of NYU Stern.
Why I recommend it: Best fit if you have real technical IP. Read the mentor list before applying and shape your application around who is actually in the room.
Discounted certifications, practice materials, and career guidance for students and career changers.
Why I recommend it: Pick one cert tied to a job posting you have actually read — A+, Network+, or Security+ — and schedule the exam before you start studying.
Free peer job-search councils: small accountability groups that meet weekly to run a structured search.
Why I recommend it: The single best fix for a stalled search is other people expecting you on Thursday. Join a council early, not after three months alone.
New York City's hub for free business courses, financing help, certification, and compliance support.
Why I recommend it: Start with a free NYC Business Solutions Center appointment — a human walks you through licensing and financing options in one sitting.
Free, full-time cloud skills program for unemployed and underemployed adults, with employer connections.
Why I recommend it: No tech background required and it ends in interviews, not just a certificate. Check local delivery partners for the next cohort date.
A long list of low-cost business ideas across services, retail, home-based, and online categories, with what each one takes to launch.
From the site: We put together a list of the best, most profitable small business ideas for entrepreneurs to pursue in 2026.
Why I recommend it: Use this as a prompt list, not a menu. Pick three that match skills you already have and stress-test them with the idea-assessment guide.
Entrepreneur White Paper: How to Set Up a US LLC From Anywhere
Step-by-step guide to forming a US LLC from any country: state selection, registered agent, EIN, banking, taxes, and ongoing compliance.
Why I recommend it: Pair this with the LLC/S-Corp formation guide already in the hub. Get the EIN and the bank account right the first time and everything downstream is easier.
Entrepreneur White Paper: AI Tools, Prompts & Strategies for Founders
Jacqueline Tangorra's Entrepreneur white paper with 30 startup ideas, a 12-tool AI stack, four business prompts, and 12 deep strategy prompts for market sizing, competitor analysis, pricing, go-to-market, unit economics, and expansion.
Why I recommend it: The prompt library alone is worth the download. Paste the TAM, pricing, and unit-economics prompts into your AI assistant and you have a consultant-grade first draft.
Section-by-section walkthrough of a business plan: executive summary, market analysis, operations, team, and financial projections.
From the site: Learn the essential elements of writing a business plan, including advice and resources for how to write and conduct each section of your business plan.
Why I recommend it: Write the plan even if no bank ever reads it. The act of writing exposes the assumptions you have been avoiding.
Wired's weekly security roundup covers OpenAI, Anthropic, and 100+ companies cosigning a letter warning that organizations have mere months to prepare for AI-enabled cyberattacks. The piece also tracks rogue AI agent hacking incidents, attacks on over 100 U.S. water systems, license-plate-reader surveillance abuse, Meta's $16.7B child-safety settlement, and ICE buying robot dogs — a snapshot of where AI, surveillance, and critical-infrastructure security collide.
From the site: OpenAI, Anthropic, and more than 100 companies have cosigned a letter saying that everyone else has mere months to prepare for AI-enabled cyberattacks.
Why I recommend it: A stark signal that AI-enabled cyberattacks are no longer hypothetical. The cosigned letter from OpenAI and Anthropic calling for a 'collective response' is exactly the kind of industry accountability move worth watching — pair it with the Hugging Face incident reporting and the water-system attacks to see how AI agents are already being used offensively. Useful for anyone tracking the gap between AI capability and AI governance.
The underlying working paper by Jeremy Yang and co-authors, using Perplexity data to model tasks as discrete steps and compare fixed vs. marginal costs of chatbots versus autonomous agents.
Why I recommend it: If the HBS summary hooks you, go to the source. Skim the task-cost framework and use it to audit your own week: which tasks are high-step and repeatable? Those are the ones to hand to an agent first.
Harvard Business School AI Institute breakdown of new research on agentic AI: how autonomy and context integration shift the cost structure of knowledge work, expanding both productivity and the scope of what workers take on.
Why I recommend it: Read this before you assume AI just speeds up your current tasks. The useful takeaway for job seekers: agents lower the cost per step, so the valuable human skills become specifying goals clearly and verifying output. Practice describing outcomes, not keystrokes, and put "agent workflow design" language in your resume bullets.
Jake Taylor argues that public, standardized AI testing with formal reasoning checks is needed to close the widening "verification asymmetry" between AI capability and oversight.
Why I recommend it: If you want to work in AI governance or assurance, this is the vocabulary hiring managers use — verification, benchmarks, interpretability.
Podcast interview with Maheen Khan (Invisible Institute) and Patrick Ball (HRDAG) on a coalition helping nonprofits protect evidence, cut big-tech dependence, and build independent AI capacity.
Why I recommend it: A concrete example of mission-driven tech work — good listening if you want your technical skills pointed at justice organizations.
Meta and State Attorneys General Consent Judgment (MDL 3047, Aug 2026)
Full proposed consent judgment and settlement agreement in the social media adolescent addiction litigation, covering teen daily use limits, nighttime blocks, age assurance, parental tools, and COPPA claims.
Why I recommend it: Primary source, not a summary. Skim the injunctive terms — they show exactly which product design choices regulators now treat as harmful.
Resource Links by Platform (168-link reference PDF)
One printable reference of every platform tool, ad and shop setup page, AI marketing tool, and strategy read in this collection - 168 links across 24 platform categories.
Why I recommend it: Download this if you want the whole platform list in one place - it mirrors every link in the Marketing & Platform Tools collection.
Open-source AI community and platform hosting machine-learning models, datasets and tools. Free to browse, download and run models; paid plans only cover hosted compute.
OpenAI's conversational AI assistant for writing, research, brainstorming and support tasks. Free tier with message and model limits; paid plans lift them.
Why I recommend it: The single most useful free tool for brainstorming marketing copy and business ideas.
A free library of masterclasses, worksheets, and templates from career strategist Madeline Mann: interview and resume masterclasses, a job search assessment quiz, a "Tell me about yourself" worksheet, follow-up email templates, and interview question lists.
In plain terms: This page collects Madeline Mann's free career materials in one place, including video masterclasses on interviewing and resumes plus downloadable worksheets and email templates. You can use it to prepare answers, tighten your resume, and follow up with hiring managers without paying for anything.
From the site: Free masterclasses, worksheets, templates, and a job search assessment from LinkedIn Top Voice and career strategist Madeline Mann (Self Made Millennial).
Why I recommend it: Her expired webinar replays are the one thing not worth chasing — this page is the evergreen version. Start with the "Tell me about yourself" worksheet and the follow-up email templates; those two fix the most interviews the fastest. The résumé and interview masterclasses are worth blocking an hour for before your next round of applications.
Fordham University’s AI Hub gives you free Coursera access to a curated set of generative AI courses built for small business owners: GenAI in Social Media Marketing, AI for Content Creation, Advanced Data Analysis with Generative AI, AI Fluency (Anthropic), and a GenAI for Leaders track from IBM. Self-paced, no cost through the program link.
In plain terms: In plain terms: A free bundle of Coursera AI courses (picked by Fordham) made for small business owners. It covers content creation, social media marketing, data analysis, and an Anthropic AI Fluency course. Self-paced and no cost — a low-risk way to start using AI in your business this week.
From the site: Free Coursera access through Fordham’s AI Hub to a curated generative AI collection for small business: content creation, social media marketing, data analysis, AI fluency, and a leaders track.
Why I recommend it: This is one of the cleanest free AI bundles I’ve found for small business owners. Start with Anthropic’s AI Fluency course to build a real mental model of how these tools think, then move to AI for Content Creation and GenAI in Social Media Marketing to put it to work the same week. It’s self-paced and free through Fordham’s program — no reason not to begin today.
Angela Duckworth (author of Grit) argues that the one habit high achievers share is not rugged self-sufficiency — it’s asking for help. She opens with a near-tragedy in the ocean and lines up evidence that we overestimate doing it alone and underestimate how willing others are to step in. Building a supportive environment, she writes, is the real power move.
In plain terms: In plain terms: The people who get furthest aren’t the lone wolves — they’re the ones who ask for help. Duckworth (the Grit author) says we sell ourselves short by trying to do everything alone. Whether it’s a mentor, a network, or just admitting you’re stuck, reaching out is the shortcut most people skip.
From the site: Angela Duckworth argues high achievers share one habit: they ask for help. We overestimate self-sufficiency and underestimate how willing others are to step in.
Why I recommend it: This mirrors exactly why Launchpad Library exists. The most successful people Justin has mentored were not the ones who figured it all out alone — they were the ones willing to raise a hand and ask. If you’re stuck, the fastest move is to ask for help: share your story, your career pivot, or your business idea, and let a community lift you. Don’t let “do it yourself” cost you a year of progress.
A recruiter-tested guide to building a LinkedIn profile that AI ranking tools and human recruiters can actually find — keyword strategy, profile completeness, networking, recommendations, and company/group connections.
In plain terms: A practical, step-by-step playbook from Manpower for making your LinkedIn profile visible to both AI ranking tools and recruiters — covering keyword choice, full profile completion, network-building to 500+ connections, gathering recommendations, following target companies, joining professional groups, and staying active with status updates and a professional photo.
From the site: How to use LinkedIn so recruiters will see you and connect with you: a guide to use throughout your career.
Why I recommend it: The headline is the single highest-leverage field on your profile — load it with the exact keywords from job postings you want. Treat your profile as a living document: rebuild it whenever you change targets, because recruiter AI ranks by keyword match to the job description, not by seniority.
Experis/ManpowerGroup research summary on how employers and employees are actually using AI at work, plus a five-step action plan for building AI career durability.
In plain terms: A research write-up from staffing firm Experis showing most employers now use AI in hiring and are fine with candidates using it too, while very few companies have AI fully rolled out. It argues AI mostly augments jobs rather than replacing them, and lists five practical steps — build durable skills, learn your company's AI tools, research use cases for your role, take free training, and propose a small pilot.
From the site: Exploring the key findings of our new report: Building and Sustaining a Meaningful Career in the AI Age.
Why I recommend it: The headline stat matters for job seekers: 85% of employers say it is fine for candidates to use AI during hiring, and 53% already use AI in hiring and onboarding. Use the five-step durability plan as a checklist — learn what AI your employer is deploying, find use cases for your role, take free training, then pitch one small pilot you can measure. That pilot becomes a resume bullet.
OpenAI's official statement explaining why it is winding down the contract that supplied its models to Cursor (Anysphere) after SpaceX completed its $60B acquisition of the AI coding company in August 2026.
In plain terms: OpenAI says it will stop supplying its models to the AI coding tool Cursor after SpaceX bought the company, citing concerns about terms-of-service compliance. Cursor users may lose access to OpenAI models, so the practical takeaway is not to depend on a single AI tool or provider.
Why I recommend it: A clear-eyed lesson in platform risk: the tools you build your workflow on can lose access to the models that make them work. If you code, write, or job hunt with an AI tool, know which models sit underneath it and keep a backup you already know how to use.
Twelve-month paid apprenticeships in Application Development, Cybersecurity, Data Engineering, and Cloud Engineering. Accenture has scaled apprenticeships into a large share of its entry-level hiring in North America.
In plain terms: This program provides paid, entry-level tech and business apprenticeships with mentorship for job seekers without a four-year degree. You can submit an application to gain hands-on training and work toward a full-time role.
Why I recommend it: Client-facing consulting experience is the differentiator here. It teaches you how to talk to business stakeholders, which pays off for the rest of your career.
Amazon's $30 million accelerator for pre-seed founders from underrepresented backgrounds, offering equity-free cash, AWS credits, hands-on technical architecture support, mentorship, and introductions to venture capital networks.
In plain terms: This program supports early-stage startups led by Black, women, Latino, and LGBTQIA+ founders. Eligible entrepreneurs can apply to receive cash funding, cloud credits, technical guidance, and mentorship to grow their businesses.
Why I recommend it: Equity-free money plus cloud credits is rare. Best fit if you already have a working prototype and a small amount of traction.
A year-long career accelerator that places Black software engineers, data scientists, and managers into small squads of 7 to 9 peers, with senior industry mentors, career roadmapping, accountability, and interview preparation.
In plain terms: This year-long career program connects Black software engineers and tech managers into small peer groups. You can create career roadmaps, receive regular accountability, and work with others to reach your professional goals.
Why I recommend it: Applications open each fall and close by mid-December for the following year. The squad accountability is what makes people actually follow through.
The national training body behind union electrical apprenticeships, now embedding data-center-specific content such as high power loads and redundant backup systems into regional apprentice programs, supported by corporate and Google.org funding.
In plain terms: This organization provides training curriculum for union electrical apprenticeships across the country. You can use the site to locate a local training facility and learn how to enroll in an apprenticeship.
Why I recommend it: Earn-while-you-learn with no tuition debt. Search for your local JATC chapter and ask specifically about data center and AI infrastructure work.
ABC works with technology firms to design standardized, fast-track construction curriculums that prepare workers to build advanced facilities, and connects trainees to member contractors hiring on those projects.
Why I recommend it: Good entry point if you want construction work on data center projects and prefer a non-union path.
Google's regional programs to train entry-level talent for data center trades such as construction, carpentry, electrical systems, and fiber-optic cabling, delivered with state and local partners in data center communities.
In plain terms: This program offers short-term training in skilled trades like construction and fiber optics near Google data centers. You can gain hands-on technical skills, earn industry certifications, and connect with local employers for entry-level jobs.
Why I recommend it: Availability is regional. Check whether Google operates or is building near you, then look for the local partner college or workforce board.
Oracle's free educational program covering cloud architecture, enterprise systems, and a data center technician curriculum designed to move students directly into operations and frontline hardware and infrastructure roles.
Why I recommend it: Free curriculum and cloud practice environments. Useful for the digital side of data center work: systems administration and hardware maintenance.
Apprenticeships of up to 12 months in software engineering and UX design for professionals from non-tech backgrounds and those who face barriers to entry. Apprentices join standard engineering teams and ship user-facing features.
In plain terms: This program offers up to one year of hands-on work and mentorship in engineering, design, and product roles for candidates without tech backgrounds. You can review job requirements, sign up for application updates, and apply to work toward a full-time career.
Why I recommend it: You work on real product, not a sandbox project, which means real portfolio material at the end.
A six-month paid software engineering apprenticeship aimed at career changers, self-taught coders, and bootcamp graduates from non-traditional tech backgrounds.
In plain terms: This five-month software engineering apprenticeship is designed for bootcamp graduates and self-taught coders without a computer science degree. You can apply to work on real coding projects, build your technical skills, and receive direct mentorship from experienced engineers.
Why I recommend it: Small cohort, so apply the day it opens. Self-taught with shipped side projects is exactly the profile they describe.
A six-month paid software engineering apprenticeship with dedicated mentorship and a strong record of converting apprentices into full-time roles.
In plain terms: This six-month paid software engineering apprenticeship is designed for people with non-traditional technical backgrounds. You can gain hands-on experience with dedicated mentorship and work toward a full-time engineering career.
Why I recommend it: This write-up from past apprentices is the best preview of what the program actually feels like. Check Asana's early-career jobs page for the live posting.
Meta's nationwide skilled-trades training program for data center construction and operations, backed by an initial $115 million investment. Tracks include fiber technician training and construction-ready training with industry partners, and graduates earn recognized trade credentials.
In plain terms: This program provides paid, fully funded training in construction and fiber technician trades, covering your travel, lodging, and living expenses. You can apply with no prior experience to earn industry credentials and secure a guaranteed job.
Why I recommend it: Meta covers costs and states that graduates are placed in jobs. If you want a trades path into the AI build-out without taking on debt, start here.
Twelve-month paid apprenticeships with full benefits in Cybersecurity, Software Development, Data Science, Cloud Engineering, and Application Development. IBM built these around "new collar" roles that prioritize skills over diplomas.
In plain terms: This program offers year-long paid apprenticeships with benefits across tech fields like software development and cybersecurity. You can apply for entry-level roles that prioritize your skills rather than a college degree.
Why I recommend it: Application windows open in short rolling bursts, sometimes closing within a day. Set a job alert and follow IBM on LinkedIn so you are not late.
Paid, full-time apprenticeships at Google lasting roughly 12 to 24 months, across Data Analytics, IT Support, UX Design, Software Engineering, and Project Management. Built for people with less than a year of experience in the field who do not hold a related degree.
In plain terms: This program provides paid, full-time apprenticeships in fields like data analytics, software engineering, and project management for people without a related degree. You can explore open roles and apply to gain hands-on career training over 12 to 24 months.
Why I recommend it: No degree in the field is the point here, not a disqualifier. Pick one track and build two small projects in it before the window opens.
Tuition scholarships for technical training with bootcamp partners such as General Assembly, followed by a paid immersive apprenticeship for participants who perform well in the training phase. Tracks span web development, data science, UX design, and digital marketing.
In plain terms: This program offers scholarships for tech training bootcamps in software engineering, data science, UX design, and digital marketing. You can apply to learn new skills and qualify for a paid apprenticeship and mentorship with Adobe.
Why I recommend it: Two-stage program: earn the training scholarship first, then the apprenticeship. Read the FAQ before applying, it answers most eligibility questions.
Apprentices are hired as full-time employees from day one, with 20% of working hours set aside for learning. Tracks include AI/ML engineering and backend engineering.
In plain terms: This paid apprenticeship program helps self-taught coders, bootcamp graduates, and career changers transition into technical roles at LinkedIn. You can apply for full-time engineering positions to gain hands-on experience, receive mentorship, and spend paid work hours building your skills.
Why I recommend it: The application looks past resumes and leans on essays and a take-home project, so this is a strong fit if your resume undersells you.
A 16-week immersive program mixing classroom learning with hands-on work on real Microsoft products, across Software Engineering, Technical Program Management, Support Engineering, and Data Analysis. Recruits heavily from bootcamps and non-traditional paths.
In plain terms: This 16-week program helps people with basic technical training and non-traditional backgrounds break into the technology industry. You can apply to combine classroom learning with hands-on experience working on real Microsoft products.
Why I recommend it: One of the most respected career-changer programs in tech. Read the application-process page closely; it tells you exactly what they score.
One of the largest data center operators in the world, CBRE recruits, trains, and places technicians — including fiber technicians — to run mission-critical infrastructure for major cloud and AI operators.
Why I recommend it: Operators like CBRE do the hiring even when the training carries a tech company's name. Watch their careers page for technician roles.
A fully funded leadership development program from McKinsey Academy, including the Management Accelerator for mid-career managers moving into senior leadership. Digital cohorts combine coaching, business problem-solving, and cross-industry peer networking.
Why I recommend it: This is the one that teaches technical people to speak business. Strong fit if you want to move from analyst or engineer into decision-making roles.
Paid classroom training plus on-the-job training in cloud computing and software development. Several tracks exist, including ones for veterans and military spouses, and internal paths for non-technical employees pivoting into engineering.
In plain terms: This program offers paid classroom and on-the-job training in cloud computing and software development for military veterans and their spouses. You can apply to gain technical skills without prior experience and prepare for full-time jobs at Amazon.
Why I recommend it: If you or your spouse served, start here. The military track is a open door with no prior tech experience required.
A global tech community that partners with major technology companies to run fully funded certification cohorts — including security and data analytics tracks — alongside mentorship, resume workshops, and access to corporate hiring partners.
Why I recommend it: Sponsored certification vouchers are the practical win here. Join the community first, then watch for cohort announcements.
Roundup of free business plan templates with guidance on which format fits your type of business.
In plain terms: This guide reviews five free business plan templates for different industries and business stages. You can use it to find the right format to map out your startup ideas, seek funding, or update an existing company plan.
Why I recommend it: Use this to choose a template format before you start writing.
The U.S. Chamber of Commerce's small business media arm, with free guides, templates, startup how-tos, and a national webinar series.
In plain terms: This website provides practical guides, articles, and training for starting, managing, and growing a small business. You can explore new business ideas, find funding options, and learn the basics of hiring, accounting, and marketing.
Why I recommend it: Plain-English how-tos — a good middle ground between government sites and blogs.
Nonprofit offering free workshops, events, and legal and financial support for under-resourced small business owners.
In plain terms: This calendar lists free online and in-person workshops led by legal and financial professionals for small business owners. You can register for sessions on bookkeeping, business legal structures, hiring employees, and applying for loans.
Why I recommend it: They also offer free legal help — worth checking eligibility.
The largest free library of sample business plans online (500+ by industry), plus templates and planning guides used by universities and SBDCs.
In plain terms: This website offers a large collection of free sample business plans, templates, and guides across hundreds of industries. You can use these real-world examples to write your own plan, forecast your finances, and prepare to pitch lenders.
Why I recommend it: Find a plan in your industry and model the structure — don't copy the numbers.
Free live and on-demand webinars from Entrepreneur magazine covering leadership, growth, marketing, and business finance.
In plain terms: This site offers free live and on-demand webinars focused on starting and growing a business. You can watch presentations to learn about marketing, funding, franchising, and managing company finances.
Why I recommend it: Pick one on-demand session that matches this month's problem instead of browsing everything.
Free weekly live webinars led by educators and entrepreneurs, covering marketing, finance, operations, and supply chain.
In plain terms: This platform offers free live and recorded business webinars led by industry experts. You can learn practical skills in areas like marketing, finance, and operations, and submit questions during live sessions.
Why I recommend it: high-quality free teaching, especially for women-owned businesses.
Large library of free business planning, budgeting, and inventory templates in Excel, Word, and PDF.
In plain terms: This collection offers free, downloadable business templates in formats like Excel, Word, and PDF. You can use them to write business plans, track budgets, manage inventory, and create customer invoices.
Why I recommend it: Grab the cash-flow and budget sheets; skip the upsell.
Free live and on-demand small business webinars (1,000+ sessions) from the organizers of America's largest small business conference.
In plain terms: This website offers free live and on-demand webinars taught by industry professionals. You can watch over a thousand sessions on topics like marketing, finance, and management, or join live events to ask questions.
Why I recommend it: Huge free session library — search by topic rather than scrolling.
Free business plan, marketing plan, and financial templates plus a self-paced learning center from Canada's business development bank.
In plain terms: This website offers free downloadable templates and calculators to help you start and run a business. You can use them to write business plans, forecast finances, create workplace policies, and prepare hiring documents.
Why I recommend it: Canadian source, but the financial templates work anywhere.
HR professional and recruiter sharing practical, no-nonsense job search, interview, and career advice. Hosted by Madeline Mann.
In plain terms: This YouTube channel is hosted by an HR professional and recruiter. You can watch practical videos with advice on job searching, interviewing, and building your career.
Why I recommend it: Start here if you want recruiter-side truth about how your resume is actually read.
Disability advocate and author Shane Burcaw shares everyday life and an interabled relationship, breaking down stereotypes. Hosted by Shane Burcaw & Hannah Burcaw.
In plain terms: This YouTube channel features disability advocate Shane Burcaw and Hannah Burcaw sharing their everyday life in an interabled relationship. You can watch their videos to learn about their experiences and break down stereotypes.
Why I recommend it: Honest, funny, and it shifts how workplaces think about disability.
Business strategy blended with mindset coaching for purpose-driven small businesses. Hosted by Marie Forleo.
In plain terms: This YouTube channel features videos on business strategy and mindset coaching for small business owners. You can watch free episodes to get practical guidance on running and growing your venture.
Why I recommend it: Half strategy, half mindset — helpful when you're stalling on the first step.
Real-world business experiments, side hustle breakdowns, and startup marketing strategy. Hosted by Noah Kagan.
In plain terms: This YouTube channel features videos on starting side hustles, testing business ideas, and marketing new startups. You can watch real-world business experiments and strategy breakdowns to help launch your own venture.
Why I recommend it: Great if you want to test a small idea this month rather than plan for a year.
Practical no-code AI automation tutorials for business, marketing, and productivity. Hosted by Igor Pogany.
In plain terms: This YouTube channel offers practical video tutorials on no-code artificial intelligence tools. You can learn how to automate tasks and use AI for business, marketing, and everyday productivity.
Why I recommend it: Use this to automate one annoying task this week — no coding needed.
Deep library of career advice videos on personal branding, resumes, interview prep, and networking. Hosted by J.T. O'Donnell.
In plain terms: This YouTube channel provides career advice videos hosted by J.T. O'Donnell. You can watch tutorials on writing resumes, preparing for job interviews, networking, and building your personal brand.
Why I recommend it: Huge back catalog — search it like a database when you hit a specific snag.
Career and image coach helping professionals with transitions, interview confidence, and personal branding. Hosted by Linda Raynier.
In plain terms: This YouTube channel features guidance from career and image coach Linda Raynier. You can watch videos to build interview confidence, navigate career transitions, and develop your personal branding.
Why I recommend it: Good for the confidence side of interviewing, not just the answers.
Lectures, founder interviews, and fundraising guidance from a leading startup accelerator. Hosted by Y Combinator.
In plain terms: This YouTube channel offers free lectures and founder interviews about starting a company. You can watch videos to learn practical guidance on launching a business and raising funds.
Why I recommend it: Their startup school talks are a free business education.
In-depth analysis of frontier AI model releases, benchmarks, and capability claims. Hosted by Philip.
In plain terms: This YouTube channel provides detailed breakdowns of new artificial intelligence models and testing benchmarks. You can watch videos hosted by Philip to examine capability claims and learn how new tools perform.
Why I recommend it: The best check against hype when a new model drops.
Accessible breakdowns of AI and machine learning research papers for a general audience. Hosted by Károly Zsolnai-Fehér.
In plain terms: This YouTube channel offers simple video breakdowns of artificial intelligence and machine learning research papers. You can watch these quick guides to stay informed about new AI developments and understand how the technology is evolving.
Why I recommend it: Short, visual, and it makes research feel approachable.
Long-form interviews with AI researchers, founders, and scientists. Hosted by Lex Fridman.
In plain terms: This YouTube channel features long-form interviews with artificial intelligence researchers, scientists, and company founders. You can watch these discussions to learn about emerging technology, ethical issues, and scientific developments.
Why I recommend it: Long listens — good for commutes when you want depth over headlines.
Fast-paced explainers on AI coding tools, developer workflows, and software trends. Hosted by Jeff Delaney.
In plain terms: This YouTube channel offers quick video explainers on software trends, AI coding tools, and developer workflows. You can watch these lessons to stay up to date on modern programming tools and tech industry practices.
Why I recommend it: Fastest way to learn what a tech term actually means.
Weekly AI news roundups and hands-on reviews of new AI tools and products. Hosted by Matt Wolfe.
In plain terms: This YouTube channel shares weekly news summaries and hands-on reviews of new artificial intelligence tools. You can watch these videos to stay updated on recent technology and see how new AI products work.
Why I recommend it: One video a week keeps you current without chasing every launch.
Detailed, decisive tech product reviews and yearly industry roundups. Hosted by Marques Brownlee.
In plain terms: This YouTube channel offers detailed technology product reviews and yearly industry roundups hosted by Marques Brownlee. You can watch the videos to evaluate new tech devices and stay informed about current industry developments.
Why I recommend it: Best place to decide whether a device is worth your money.
Startup and technology news covering product launches, funding rounds, and trends. Hosted by TechCrunch.
In plain terms: This video channel shares news about startups and the technology industry. You can watch reports on new product launches, funding rounds, and emerging market trends.
Why I recommend it: Skim it to spot which companies are hiring and growing.
Speaker and advocate for the blind and low-vision community sharing lived experience and inclusion content. Hosted by Molly Burke.
In plain terms: This YouTube channel features videos from advocate Molly Burke about living with blindness and low vision. You can watch her stories to better understand accessibility and inclusion in everyday life.
Why I recommend it: Useful for anyone designing or hiring with accessibility in mind.
One of the largest CDFIs in the country, providing affordable capital, grants, and technical assistance to small businesses and community organizations in under-resourced neighborhoods.
In plain terms: This organization provides loans, grants, and technical assistance to help small businesses and community programs grow. You can use it to find financing, connect with local offices, and search educational resources.
Why I recommend it: Good mix of money and hands-on technical assistance, not just a loan.
Free business training, counseling, and mentoring for veterans, service-disabled veterans, National Guard and Reserve members, and military spouses.
In plain terms: This program offers small business support for veterans, service members, and military spouses. You can connect with a local center to attend workshops, get one-on-one counseling, and receive help writing a business plan.
Why I recommend it: Military spouses qualify too — a lot of people miss that.
The primary federal agency supporting small businesses through counseling, training, capital access, and government contracting assistance.
In plain terms: This federal website helps you start, fund, and grow a small business. You can explore loan options, find local counseling and training, and get certified for government contracting opportunities.
Why I recommend it: Start here for the official rules, then use SCORE or an SBDC for a human to walk you through them.
Free one-on-one business advising and low-cost training through a nationwide network hosted at universities and colleges.
In plain terms: This tool helps you locate nearby centers that offer personalized business advising and training. You can work with advisors to develop business plans, manage finances, and access capital to start or grow your company.
Why I recommend it: Free advising with real financial help — find your local center and book an appointment.
National nonprofit conducting research and providing free guides on small business policy, access to capital, and entrepreneurship support for underserved owners.
In plain terms: This nonprofit organization provides free educational guides, tools, and webinars to support small business owners. You can use it to learn about managing finances, securing funding, and connecting with local lenders and support programs.
Why I recommend it: Their free webinars are short and practical — good for capital and healthcare questions.
Represents regional development organizations that administer federal and state economic development funding, including small business loan programs, at the local level.
In plain terms: This national association supports local agencies that manage regional economic development and community programs. You can find your local development district, access training webinars and research, and search for regional planning and development job openings.
Why I recommend it: Regional development orgs are where rural and small-town loan programs actually live.
Federal agency dedicated exclusively to the growth of minority-owned businesses, funding a national network of Business Centers offering free counseling on capital, contracts, and markets.
Why I recommend it: Their Business Centers are the fastest route to contracting and capital introductions.
Comprehensive national guide covering counseling, training, capital, contracting, disaster assistance, and business advocacy resources, with local editions available.
Why I recommend it: Download your state's edition — the local contact list in the back is the useful part.
The largest network of nonprofits in the U.S., offering free tools and guides widely used by community-based organizations running small business and economic development programs.
In plain terms: This resource provides practical tools, guides, and policy news for charitable and community organizations. You can use its dedicated job board to find nonprofit career opportunities across the country.
Why I recommend it: Essential if your venture is a nonprofit rather than an LLC.
Federal fund that certifies and invests in Community Development Financial Institutions delivering affordable capital to underserved small businesses and communities nationwide.
Why I recommend it: Use their directory to find a certified CDFI lender near you before you try a big bank.
SBA-funded centers providing training and counseling to women entrepreneurs, with special focus on those who are socially or economically disadvantaged.
In plain terms: This tool helps you find local, government-supported centers that assist women entrepreneurs. You can reach out to a nearby center to get business counseling, training, mentoring, and funding advice to start or expand a business.
Why I recommend it: If you're a woman starting out, this is often the warmest first door.
The largest membership organization for economic development professionals, connecting local and state EDCs with research, training, and best practices for community and small business growth.
Why I recommend it: Use it to find the economic development office in your own city — they often have grants nobody applies for.
The largest national disability rights organization in the U.S., advocating for equal opportunity, economic self-sufficiency, and independent living.
In plain terms: This national disability rights organization promotes civil rights and economic independence for people with disabilities. You can explore career development programs, find internships and fellowships, or connect with mentoring and scholarship opportunities.
Why I recommend it: Also runs paid internship and leadership programs worth applying to.
One-year free training and internship program for young adults ages 18-26 from underserved communities, connecting them to careers at major employers.
In plain terms: This free program provides job training and internships for young adults. You can learn practical workplace skills, gain real-world experience, and connect directly with employers to start a career.
Why I recommend it: If you're under 27 and stuck in low-wage work, this is one of the strongest free on-ramps available.
Founder and CEO of Opportunity@Work, who coined the "STARs" (Skilled Through Alternative Routes) framework and drives the "Tear the Paper Ceiling" campaign.
In plain terms: This LinkedIn profile features the writings and updates of workforce advocate Byron Auguste. Follow him to learn about skills-first hiring trends, career pathways, and job market changes that value practical experience over four-year college degrees.
Why I recommend it: Pairs with the Opportunity@Work entry — he makes the economic case for hiring on skills.
Free federally funded resource helping employers of all sizes recruit, hire, retain, and advance people with disabilities and build inclusive workplace cultures.
In plain terms: This free website provides resources and training focused on disability employment and workplace inclusion. You can use its guides and toolkits to learn about job accommodations, mental health support, and hiring practices.
Why I recommend it: Written for employers, which makes it a great preview of what a good process should look like.
Nonprofit promoting full workforce participation for people with disabilities; publishes the Disability Inclusion Blueprint tracking employer hiring and promotion outcomes.
In plain terms: This nonprofit organization works to increase employment and workplace inclusion for people with disabilities. You can take online training courses, join a supportive network, and find resources to advance your career.
Why I recommend it: Their employer ratings help you target companies that actually follow through on inclusion.
National nonprofit researching and advocating for skills-first hiring; created the STARs (Skilled Through Alternative Routes) framework covering 70M+ U.S. workers without a bachelor's degree, and runs the 'Tear the Paper Ceiling' campaign.
In plain terms: This nonprofit organization supports workers who built their skills through work experience, apprenticeships, or military service rather than a college degree. You can explore career pathways, read real worker stories, and learn about employers hiring based on skills instead of degrees.
Why I recommend it: If a degree requirement is blocking you, their STARs research gives you language and data to push back.
DEIA Consultant, Speaker, LinkedIn Top Voice. Speaker and consultant on disability inclusion in the workplace; hard of hearing with a vision disability, named a LinkedIn Top Voice in Disability Advocacy.
In plain terms: This LinkedIn profile features posts from a workplace disability inclusion consultant and public speaker. You can follow her page to learn practical advice on disability advocacy, accessibility, and leading employee resource groups.
Why I recommend it: Practical workplace advice on disclosure and accommodations.
Coalition connecting workers without four-year degrees to free training, coaching, and job opportunities in higher-wage careers.
In plain terms: This nonprofit platform helps job seekers without a college degree find good-paying career paths. You can search for fast, affordable training programs, get free career coaching, and apply for open jobs.
Why I recommend it: Start here if you want free training plus a coach, not just a course list.
Global nonprofit think tank (formerly the Center for Talent Innovation) producing research on diversity, equity, inclusion, and sponsorship in the workplace.
In plain terms: This nonprofit research organization studies diversity, leadership, and workplace culture. You can read their reports and articles to understand current employment trends and workplace dynamics.
Why I recommend it: Useful research on sponsorship — the difference between a mentor and someone who spends political capital on you.
Disability Rights Lawyer, Author. The first Deafblind graduate of Harvard Law School; author of 'Haben: The Deafblind Woman Who Conquered Harvard Law' and a leading voice on accessible technology and inclusive design.
In plain terms: This is the LinkedIn profile of disability rights lawyer and author Haben Girma. Follow her page to learn about accessibility strategies, inclusive technology, and disability advocacy.
Why I recommend it: Her framing of accessibility as innovation, not charity, is worth borrowing.
Accessibility Advocate, Content Strategist. Deaf accessibility advocate and content strategist raising awareness of digital and workplace accessibility.
Why I recommend it: Follow for concrete accessibility fixes you can apply to your own resume, site, or slides.
Labor market research institute studying degree requirements, skills-based hiring trends, and economic mobility using real job posting data.
In plain terms: This research institute analyzes employment data and hiring trends across the country. You can read free reports to learn which job skills are in demand, explore labor market forecasts, and find which credentials lead to higher pay.
Why I recommend it: Their reports tell you which employers actually dropped degree requirements versus which just said they did.
National nonprofit driving research-backed transformation of workforce and education systems to expand economic advancement for underserved populations.
In plain terms: This nonprofit helps workers access education, skills training, and quality jobs across the country. You can explore practical guides, research reports, and information on apprenticeships and emerging career pathways.
Why I recommend it: Watch their pilots — they often turn into free training programs you can join.
Free expert guidance on workplace accommodations and ADA compliance, with searchable accommodation ideas by condition and job type.
In plain terms: This free service offers guidance on workplace accommodations and disability rights. You can search for accommodation ideas by medical condition and learn how to request adjustments during the hiring process or on the job.
Why I recommend it: Before you request an accommodation, look it up here so you can ask for something specific.
Global nonprofit resource for business disability inclusion and publisher of the Disability Equality Index used by major employers to benchmark inclusion.
In plain terms: This organization helps businesses improve disability inclusion and publishes reports that benchmark corporate inclusion practices. You can use their guides, learning tools, and employer index reports to research disability-friendly companies.
Why I recommend it: Use the Disability Equality Index as a shortlist of employers to target.
Disability Advocate, Speaker. Advocate with cerebral palsy addressing hiring discrimination, workplace tokenism, and the disability unemployment gap.
In plain terms: This is the LinkedIn profile of a disability advocate and speaker. Follow him to learn about navigating job accommodations, fighting hiring discrimination, and advocating for disability inclusion at work.
Why I recommend it: Honest about what hiring actually feels like with a visible disability.
Nonpartisan coalition advocating for public policy that expands access to skills training and job quality for lower-income and underserved workers.
In plain terms: This organization advocates for public policies that expand access to job training and career education. You can read their articles and reports to stay informed about workforce programs, credentials, and skills training initiatives.
Why I recommend it: Good source for what training funding exists in your state.
Author, Disability Rights Activist. Author of 'Demystifying Disability: What to Know, What to Say, and How to Be an Ally,' writing and speaking on disability inclusion.
Why I recommend it: Great starting point if you want to be a better ally without guessing.
CEO, Google & Alphabet. Commentary on AI research, product launches, and the technology industry's trajectory from one of its most influential leaders.
Why I recommend it: High-level signal on where AI products are heading next.
Founder, Distributed AI Research Institute (DAIR). AI researcher and prominent voice on AI ethics, bias, and the risks of concentrated corporate control over AI development.
In plain terms: This LinkedIn profile belongs to Dr. Timnit Gebru, an artificial intelligence researcher and founder of the Distributed AI Research Institute. You can follow her page to read updates and commentary on technology ethics, bias, and research.
Why I recommend it: Pairs well with the DAIR entry in the library — independent research, not corporate PR.
Organizational Psychologist, Wharton Professor. One of LinkedIn's most-followed voices (5M+), sharing research-backed insights on work, motivation, and organizational psychology.
In plain terms: This LinkedIn profile features posts, articles, and courses from an organizational psychologist and business professor. You can explore his updates to learn practical insights on workplace motivation, collaboration, and career resilience.
Why I recommend it: Good antidote to hustle-culture advice — he shows the research behind what actually helps at work.
Strategic Business & Technology Advisor, Author. High-level, accessible summaries of emerging enterprise technology and industry trends for business leaders.
Why I recommend it: Good plain-language briefings if you need to talk tech trends in interviews.
President, Patrick J. McGovern Foundation. Leads a $1.5B foundation investing $500M+ to make AI work for everyone; writes on responsible AI and equitable technology.
In plain terms: This LinkedIn profile features the work of a foundation leader focused on ethical technology and artificial intelligence. You can read his published articles and view courses on responsible AI to learn how new tools affect the modern workforce.
Why I recommend it: Follow for where philanthropic AI funding is going — useful if you're seeking grants.
Associate Professor, Wharton School. Leading voice on the practical, everyday application of generative AI tools at work, author of 'Co-Intelligence.'
In plain terms: This LinkedIn profile shares research and practical insights on how artificial intelligence is changing everyday work. Follow his regular updates to track new AI tools and learn realistic ways to use them in your career.
Why I recommend it: The best source for how to actually use AI in your day-to-day work, with real prompts and tests.
Chairman, VaynerX; CEO, VaynerMedia. One of the most followed entrepreneurship and marketing voices on LinkedIn, known for direct, practical business advice.
In plain terms: This LinkedIn profile features articles and posts from entrepreneur and business executive Gary Vaynerchuk. You can read his updates for practical advice on modern marketing, small business growth, and career motivation.
Why I recommend it: Take the energy, keep the marketing fundamentals — especially on content and patience.
Co-founder & CTO, HubSpot. Shares insights on startups, software development, and AI, with a focus on community-driven business growth.
In plain terms: This is the LinkedIn profile of HubSpot co-founder Dharmesh Shah. You can read his articles and updates to get advice on starting a business, building software, and using artificial intelligence tools.
Why I recommend it: Practical founder thinking on growth without a big budget.
Author, Behavioral Change Expert. Widely followed for practical, research-grounded content on self-development, motivation, and career mindset shifts.
In plain terms: This LinkedIn page features articles and posts on personal growth, motivation, and workplace habits. You can use these practical tips to build confidence, overcome burnout, and improve your communication at work.
Why I recommend it: Useful when the hard part isn't the plan, it's getting started again after a setback.
Founder & Former CEO, Hootsuite. Writes on entrepreneurship, leadership, and building businesses from scratch; founder of the League of Innovators nonprofit.
Why I recommend it: Solid bootstrapping perspective plus youth entrepreneurship programs worth knowing.
Chairman & CEO, Microsoft. Shares perspective on enterprise AI adoption, cloud computing, and the broader direction of the tech industry.
In plain terms: This LinkedIn profile features articles and updates from Microsoft's chief executive on cloud computing and artificial intelligence. You can follow these posts to track major tech trends and see how emerging tools impact modern work.
Why I recommend it: Worth watching to understand where big employers are placing their AI bets.
Multi-stakeholder nonprofit coalition of tech companies and civil society organizations shaping best practices and public dialogue on AI's benefits and risks.
In plain terms: This nonprofit website shares research and guidelines on artificial intelligence from tech companies and community organizations. You can explore free reports and frameworks to learn how AI affects the economy, workplace practices, and technology safety.
Why I recommend it: Where industry and civil society actually sit at the same table.
Independent nonprofit researching the social implications of data-centric and automated technologies, informing policy and public understanding.
In plain terms: This nonprofit research institute studies how artificial intelligence, automation, and data technologies affect work and society. You can read free reports, guides, and articles or attend public events to understand how emerging technology impacts labor and the economy.
Why I recommend it: Excellent on automated management and surveillance at work.
MIT research lab exploring human-AI collaboration, alongside a joint fund with Berkman Klein supporting research on AI's ethical and governance challenges.
In plain terms: This academic research site shares news and projects focused on emerging technology, design, and artificial intelligence. You can explore articles on AI ethics and human collaboration, view new inventions, and find related job opportunities.
Why I recommend it: Browse their projects when you want to see what humane technology looks like in practice.
Nonprofit increasing diversity and inclusion in AI education, research, and development through programs for underrepresented high school and college students.
In plain terms: This nonprofit provides free virtual training programs for college students interested in artificial intelligence. You can complete hands-on projects, connect with industry mentors, and prepare for entry-level AI internships.
Why I recommend it: Great structured entry point for students curious about AI careers.
NYU-based research institute examining the social and political implications of AI, publishing influential annual reports on AI's societal effects.
In plain terms: This research institute analyzes the social, economic, and workplace impacts of artificial intelligence. You can read free reports, policy toolkits, and expert analyses to better understand how AI affects society and the economy.
Why I recommend it: Their reports connect AI directly to jobs and worker power.
University of Oxford institute researching the ethical problems arising from AI, from societal downstream effects to how AI systems reflect human values.
In plain terms: This academic website shares research and analysis on the ethical and social impacts of artificial intelligence. You can read publications, attend public events, and search for fellowships, scholarships, and job openings.
Why I recommend it: Philosophy-forward work — useful when you need the "why", not just the "how".
Philanthropic investment firm supporting organizations that harness technology to empower individuals and communities responsibly.
In plain terms: This philanthropic investment firm focuses on responsible technology and its impact on society. You can check their careers page to search for open jobs and learn about their work.
Why I recommend it: Follow their funding to see which responsible-tech ideas are gaining ground.
UK-based independent research institute (established by the Nuffield Foundation) ensuring data and AI work for people and society.
In plain terms: This independent research website examines the ethical and legal impacts of artificial intelligence and data. You can read policy reports, explore industry analysis, and attend events to understand how emerging technology affects society.
Why I recommend it: Clear, public-interest research with plain-language summaries.
Nonprofit network behind the B Corp certification, helping businesses balance profit and purpose through verified social and environmental standards.
In plain terms: This nonprofit organization certifies companies that meet verified social and environmental standards. You can search a global directory of certified employers or use their guides and tools to measure and certify your own business.
Why I recommend it: Their free impact assessment is a useful business health check even if you never certify.
Nonprofit providing free tech training, apprenticeships, and job placement to bridge the gap between learning to code and employment.
In plain terms: This nonprofit offers free tech training and job placement services. You can learn software development or artificial intelligence skills and get matched with hiring employers.
Why I recommend it: Free training plus actual placement — one of the strongest career-change paths into tech.
Harvard University center studying the ethics, governance, and societal impact of the internet and AI, and anchor institution for the Ethics and Governance of AI Fund.
In plain terms: This research center explores how artificial intelligence and the internet impact society, law, and ethics. You can read free policy publications, watch educational videos, find public events, and check for open job or fellowship opportunities.
Why I recommend it: Decades of open research and fellowships, much of it free to read.
Global foundation committed to social justice, funding technology initiatives that promote equity, inclusion, and accountable AI governance.
In plain terms: This global foundation funds organizations and individuals working on social issues, workers' rights, and technology. You can search for grant opportunities, apply for fellowship programs, and read research reports on the future of work.
Why I recommend it: A major funder of public-interest technology work worth tracking.
Foundation investing in social entrepreneurs and innovators tackling the world's most pressing problems.
In plain terms: This foundation funds and supports social innovators tackling major global challenges. You can learn about community impact projects and search for open roles on their community job board.
Why I recommend it: Look here if your business idea is really a mission.
Interdisciplinary Stanford institute advancing AI research, education, policy, and practice to improve the human condition, with strong ethics and governance focus.
In plain terms: This university center shares research, policy updates, and educational resources focused on artificial intelligence. You can browse an AI glossary, read industry reports, and explore professional courses or research fellowships.
Why I recommend it: Their policy briefs are readable and free — a good first stop if AI governance feels opaque.
Nonprofit working to align technology design with human wellbeing, addressing extractive incentives in tech and AI.
In plain terms: This nonprofit organization provides educational materials, policy guides, and research on the societal impact of artificial intelligence and social media. You can take courses, listen to podcasts, and use design toolkits to learn about ethical technology practices.
Why I recommend it: Practical framing for anyone rethinking their relationship with their devices.
One of the largest foundations dedicated to entrepreneurship, funding research and programs to expand economic opportunity through business creation.
In plain terms: This website provides tools, research, and programs to support business creation and career development. You can explore training through programs like Kauffman FastTrac, connect with peers through 1 Million Cups, and look into funding opportunities.
Why I recommend it: Their free research and toolkits are some of the best small-business data available.
Research center developing AI systems that are provably beneficial and aligned with human values.
In plain terms: This university research center focuses on creating safe and beneficial artificial intelligence. You can read published research papers, follow recent news and blog updates, and explore opportunities to work with their team.
Why I recommend it: Technical AI safety, explained by the people who defined the field.
Foundation working to close gaps of access, achievement, and opportunity for underrepresented communities in tech, funding equitable tech policy initiatives.
In plain terms: This organization works to remove barriers and increase diversity in the technology industry. You can explore STEM programs for students of color, read research on tech equity, and learn about early-stage startup funding.
Why I recommend it: Their research explains the leaky tech pipeline — and they fund fixes for it.
Membership organization supporting nonprofit staff in using technology strategically and equitably, publisher of the Equity Guide for Nonprofit Technology.
In plain terms: This community supports people using technology for social change and nonprofit work. You can search a dedicated job board, take skill-building courses, earn professional certificates, and connect with peers in online discussion groups.
Why I recommend it: The place nonprofit tech workers actually talk to each other.
Nonprofit providing seed funding and fellowships to early-stage social entrepreneurs, especially leaders of color, building solutions to social problems.
In plain terms: This nonprofit organization provides fellowship programs and funding to people starting social impact ventures. You can apply for a fellowship to get strategic guidance and financial support for your project.
Why I recommend it: Real seed money and coaching for early social ventures — applications open annually.
Founded by Joy Buolamwini, AJL combines art and research to expose racial and gender bias in AI and mobilize advocates, researchers, and industry toward more accountable algorithms.
In plain terms: This organization researches and exposes bias and discrimination in artificial intelligence systems, including automated hiring tools. You can explore educational materials, learn about the social impacts of technology, and report unfair automated practices.
Why I recommend it: Start here if you have ever been misjudged by an automated system — including a hiring one.
Practical AI guidance for small business owners who aren't high-tech, from a fellow small business owner.
In plain terms: This newsletter provides practical artificial intelligence guidance written by a small business owner. You can learn how to use AI to help your business succeed, even if you are not high-tech.
Why I recommend it: Written for Main Street, not for engineers — start here if AI feels like it is not for you.
Daily business news with a sharp, irreverent tone — startup stories, market shifts, and unconventional trends.
In plain terms: This free media site provides daily news, podcasts, and videos covering business trends, startups, and technology. You can follow industry shifts and browse guides to find new side hustle and business ideas.
Why I recommend it: Fun read that quietly teaches you how small businesses make money.
Fast daily digest of AI news and tools, part of the TLDR newsletter network.
In plain terms: This free daily email newsletter summarizes artificial intelligence news, research papers, and developer tools. You can use it to stay updated on technical industry releases in a quick five-minute read.
Why I recommend it: The shortest of the daily AI digests — good if your inbox is already full.
Analysis at the intersection of finance and technology trends, by Byrne Hobart.
In plain terms: This newsletter provides in-depth articles analyzing trends, strategies, and news across the technology and finance industries. You can read detailed company profiles to understand market shifts and explore an included job board.
Why I recommend it: Dense, but it explains where the money behind tech is actually going.
Actionable insights from world-recognized founders, for aspiring and early-stage entrepreneurs.
In plain terms: This education platform provides free training, podcasts, and guides for aspiring and early-stage entrepreneurs. You can learn how to launch an online store, run digital marketing campaigns, and build a business using advice from experienced founders.
Why I recommend it: Practical founder interviews rather than motivation for its own sake.
Reporting on the intersection of Silicon Valley and democracy, by Casey Newton.
In plain terms: This publication delivers reporting and analysis on artificial intelligence, social platforms, and the tech industry. You can read free articles to stay updated on how new technology impacts modern work and business.
Why I recommend it: Independent accountability reporting on the platforms we all depend on.
Machine learning research explained clearly, by Sebastian Raschka. 199K+ subscribers.
In plain terms: This newsletter breaks down recent machine learning and artificial intelligence research into clear explanations. You can read it to stay up to date on new developments in the field.
Why I recommend it: Patient, teacherly explanations of ML research — great for career switchers.
Power dynamics and inside stories from Big Tech, by Alex Kantrowitz.
In plain terms: This newsletter and podcast covers inside reporting on major tech companies and their impact on society. You can read weekly updates and listen to interviews to stay informed about the technology industry.
Why I recommend it: Good on how decisions inside big companies land on workers.
Executive-level career strategy from a 10+ year career coaching practice.
In plain terms: This site offers resume writing and career strategy services tailored for senior leaders and executives. You can get help creating leadership resumes, board bios, and LinkedIn profiles to support your next career move.
Why I recommend it: Strong on senior and executive positioning if you have outgrown the standard resume advice.
Daily AI news and tools digest written for a broad professional audience.
In plain terms: This free daily newsletter covers the latest artificial intelligence news and technology trends. You can read quick guides to discover new tools and learn how to use practical AI programs for your work.
Why I recommend it: Written for people who want to use AI at work, not build it.
Weekly, deeply researched advice on building products, driving growth, and accelerating your career, for product leaders and founders.
In plain terms: This weekly newsletter provides in-depth advice on building products, driving business growth, and advancing your career. You can read it to learn practical strategies for founder and product leadership roles.
Why I recommend it: The most useful single source I know for how promotions, scope, and product careers actually work.
Analysis of the strategy and business side of technology and media, by Ben Thompson.
In plain terms: This website provides articles and podcasts that analyze the business strategy and impact of technology companies. You can explore in-depth commentary to better understand industry trends and how modern tech businesses operate.
Why I recommend it: Teaches you to read industry news as strategy instead of headlines.
Weekly synthesis of AI research and policy by Jack Clark, Anthropic co-founder. 130K+ subscribers.
In plain terms: This weekly newsletter summarizes the latest artificial intelligence research and policy. You can read it to keep up with developments in AI technology.
Why I recommend it: Best place to understand the policy fights that will shape AI jobs.
The largest daily AI news email, with over 2 million readers.
In plain terms: This website offers a daily newsletter covering the latest artificial intelligence news and trends. You can explore practical guides, courses, and categorized tools to learn how to use these technologies in your everyday work.
Why I recommend it: Five minutes a day is enough to stop feeling behind on AI.
Technical AI newsletter for engineers building on AI systems, covering evals, inference, and agentic architectures.
In plain terms: This technical newsletter and podcast covers how leading teams build artificial intelligence models, agents, and infrastructure. You can use it to learn how modern AI systems are built and keep your engineering knowledge up to date.
Why I recommend it: If you want an AI engineering job, this is the vocabulary you need.
Career intelligence, industry deep dives, and Big Tech analysis for senior engineers and engineering leaders, by Gergely Orosz.
In plain terms: This newsletter offers inside perspectives on Big Tech, startups, and the software industry. You can read its career insights and industry analysis to help navigate engineering and technology leadership roles.
Why I recommend it: Read this before a tech interview loop or a comp negotiation — it tells you how the other side thinks.
Newsletter of career opportunities, tech trends, and industry insight for current and aspiring Black technologists and entrepreneurs.
In plain terms: A newsletter mixing tech job opportunities with industry trends and commentary, built for Black technologists and entrepreneurs. A steady source of leads without scrolling job boards.
From the site: Career opportunities, tech trends, and industry insights delivered straight to your inbox. For current and aspiring technologists, entrepreneurs, and professionals.
Why I recommend it: Job leads plus honest industry commentary in one place. Subscribe and treat the opportunity posts as a weekly search prompt.
Analytics and Excel teacher helping professionals build real data skills and use AI to increase their impact at work.
In plain terms: An Excel MVP and author teaching practical analytics skills you can apply at work, including how to pair them with AI tools. Self-paced and beginner-friendly.
From the site: Helping you build real-world analytics skills so you can partner with AI to accelerate your impact at work. Author, LinkedIn Top Voice, Microsoft Excel MVP.
Why I recommend it: A good fit if you want data skills without a bootcamp. His lessons are built around work you actually do in a job.
A walkthrough of how to find and place the right keywords in your LinkedIn profile so recruiters and search actually surface you.
In plain terms: A short guide on choosing the keywords recruiters actually search and where to place them on your LinkedIn profile. Practical first step if your profile gets views but no messages.
From the site: Where it all starts
Why I recommend it: Start here before rewriting your whole profile. Keywords in your headline and About section do more work than clever wording.
Interview prep and career advice for developers from Fahim ul Haq, drawing on 15+ years in big tech.
In plain terms: A newsletter of coding interview prep and tech career advice from a longtime engineer and founder. Focused on interview patterns, system design, and growth in engineering roles.
From the site: Interview prep and career advice for devs. Tips and takeaways from 15+ years in tech.
Why I recommend it: Pair this with mock practice. The system design and interview breakdowns map closely to what big tech actually asks.
Founder-turned-investor writing a widely-read AI newsletter covering new tools, launches, and what is actually useful.
In plain terms: An exited founder and investor sharing what he learns about AI tools, products, and startups. A low-effort way to keep up with a fast-moving space.
From the site: Exited founder turned investor. Sharing what I see and learn along the way.
Why I recommend it: The fastest way to stay current on AI tools without living on social media. Skim it weekly, try one tool.
Executive recruiter writing about how search firms really screen candidates, plus LinkedIn and job-search tactics.
In plain terms: An executive recruiter shares what happens behind the curtain of a search process and how to run a tighter job search. Aimed at experienced and senior professionals.
From the site: Executive recruiter by day and LinkedIn expert by night, giving executives a peek behind the executive search curtain and helping them run an efficient job search.
Why I recommend it: Follow someone who sits on the hiring side. His posts explain what recruiters skip past in seconds, which is hard to learn any other way.
Free, hands-on AI tutorials and automation walkthroughs for people who want to actually build with the tools.
In plain terms: Free AI tutorials and automation guides written for practitioners rather than theorists. Good for learning tools you can use in your job this week.
From the site: Free AI tutorials, prompts, and automation walkthroughs.
Why I recommend it: Her tutorials are step-by-step, not hype. Pick one workflow you repeat weekly and automate it.
The Ludwig Institute's alternative unemployment measure that counts people who are jobless, underemployed, or earning below a living wage.
In plain terms: A research institute publishes a "true rate of unemployment" that counts anyone jobless, stuck in part-time work, or earning under a living wage. The number is usually far higher than the official rate, which explains why a "strong" job market can still feel impossible.
From the site: LISEP’s mission is to help achieve shared economic prosperity for all Americans, particularly for middle- and low-income families. Our focus is fact-based economic and policy research.
Why I recommend it: When headlines say the job market is strong and your search still feels brutal, this number explains the gap. Useful language for interviews and for your own sanity.
Watchdog database tracking corporate subsidies, violations, and job quality commitments by employer and location.
In plain terms: A nonprofit watchdog with free searchable databases on corporate subsidies, tax breaks, and company violation records. Use it to research an employer or a city before you take a job or move for one.
From the site: Good Jobs First promotes corporate and government accountability in economic development, especially around the use of public subsidies.
Why I recommend it: Look up a company before you accept an offer or a relocation. Subsidy and violation records tell you how an employer treats the places it operates in.
Announcement of Spaces, an extension to the open AT Protocol (the tech behind Bluesky) that supports private, permissioned data.
In plain terms: The team behind Bluesky opened an alpha for Spaces, a way to store private or group-only data on their open protocol. If you build community tools, it is an early look at owning your data instead of renting a platform.
From the site: Atproto Spaces, formerly known as “the permissioned data protocol,” is a new extension to atproto that enables non-public data. The alpha is now officially open.
Why I recommend it: If you build community or product, open protocols are a real alternative to renting an audience from a platform. Worth watching early.
A widely-discussed thread where job seekers diagnose why high application volume produces no interviews, with practical fixes in the replies.
In plain terms: A Reddit thread from someone with hundreds of applications and zero interviews, plus crowd-sourced diagnoses in the comments. The recurring advice: tighten your resume to the posting, apply to fewer roles, and add one human contact per application.
Why I recommend it: Volume is not a strategy. Skim the replies for the pattern: fewer, better-targeted applications plus one human contact per role beats 300 cold submits.
Small-business columnist and owner writing on taxes, hiring, and regulations for Main Street businesses.
In plain terms: This site features columns and presentations from small-business adviser and accountant Gene Marks. You can explore practical insights on economic trends, workplace rules, and technology to help run or grow your business.
Why I recommend it: One of the few voices writing for a ten-person business rather than a venture-backed one.
Short, extremely practical videos on resumes, LinkedIn, AI tools, and workplace communication.
In plain terms: This YouTube channel offers short, practical videos focused on career skills and job searching. You can watch tutorials on writing resumes, optimizing your LinkedIn profile, using AI tools, and communicating at work.
Why I recommend it: Watch the resume bullet formula video before your next application. It takes six minutes.
Weekly interview show on job search tactics — networking, resumes, interviews — in tight 30-minute episodes.
In plain terms: This weekly podcast features interviews with career experts who share practical job hunting advice. You can listen to learn tips on networking, writing resumes, and handling job interviews.
Why I recommend it: Good listening on a commute. Every episode ends with one concrete action.
Business ideas and teardowns, useful for spotting small, unsexy, profitable business opportunities.
In plain terms: This weekly podcast features hosts who brainstorm business concepts and interview founders about how they make money. You can listen to explore niche business opportunities and get practical ideas for starting your own company.
Why I recommend it: Skip the hype segments; the teardown segments are a free market-research education.
Long-running advice blog and newsletter on workplace questions — offers, bosses, boundaries, and awkward interviews.
In plain terms: This workplace advice website answers real reader questions about job hunting, difficult bosses, interviews, and office dynamics. You can browse practical guidance for tricky career situations or submit your own question for advice.
Why I recommend it: When you are not sure whether something at work is normal, the archive has already answered it.
A former corporate recruiter explains hiring decisions, layoffs, and interview red flags from the inside.
In plain terms: This YouTube channel offers advice from a former corporate recruiter about how hiring works behind the scenes. You can watch videos explaining layoffs, hiring decisions, and interview red flags to improve your job search.
Why I recommend it: The best free explanation of what recruiters are actually screening for.
Job search guidance written for workers over 50 — resumes, skills, ageism, and flexible work.
In plain terms: This website provides job search guidance and career tools for workers age 50 and older. You can take online courses to build skills, explore flexible work options, and get advice on handling age discrimination.
Why I recommend it: The advice here assumes a long career instead of apologizing for one.
Research and programs on encore careers — purpose-driven second acts, often in nonprofit and social impact work.
In plain terms: This platform provides research, fellowships, and programs focused on purpose-driven work across different generations. You can explore case studies, reports, and events to help you transition into social impact roles and collaborate with older or younger professionals.
Why I recommend it: Useful if the goal is meaningful work for the next fifteen years, not a ladder climb.
A nonprofit that places people restarting careers after caregiving breaks into paid mid-career internships at partner employers.
In plain terms: This nonprofit helps people restart their careers after taking time off for caregiving. You can search a directory of paid return-to-work internships and access guides to help you rejoin the workforce.
Why I recommend it: Especially good for caregivers re-entering tech and finance roles. The employers here expect a gap.
The largest directory of paid returnships and career-reentry programs, searchable by industry and location.
In plain terms: This directory lists paid return-to-work programs and returnships from employers worldwide. You can filter the opportunities by location and program type to find companies hiring professionals returning to the workforce.
Why I recommend it: If you have been out of the workforce a year or more, a paid returnship gets you a current title on the resume fast.
Job listings from employers who have publicly committed to age-inclusive hiring practices.
In plain terms: This directory highlights companies committed to age-inclusive hiring practices and multigenerational workplaces. You can use it to find and connect with employers that actively value experienced workers.
Why I recommend it: Applying where age-inclusive hiring is a stated commitment beats applying everywhere and hoping.
What the ADEA actually protects, what employers may and may not ask, and how to file if a line is crossed.
In plain terms: This guide explains federal rules protecting workers and job seekers age 40 and older from age discrimination. You can use it to recognize illegal workplace practices, check reporting deadlines, and learn how to file a complaint.
Why I recommend it: Know the line. Most age bias is not illegal questioning, but it helps to recognize when it is.
Plain-language rundown of which insurance types a small business actually needs — general liability, workers' comp, property, and more.
In plain terms: This government guide explains the different types of insurance coverage small businesses need to protect their assets. Use it to learn how policies like general liability and workers' compensation work so you can choose the right coverage for your startup.
Why I recommend it: Start here before you buy anything from a broker. Knowing the four basic policy types keeps you from being upsold.
What card networks, processors, and fees actually are, so you can compare point-of-sale and payment options without guessing.
In plain terms: This government guide explains how prepaid cards and accounts work, including their fees and rules. You can use it to compare payment options, protect your wages, and learn your rights if a card is lost or stolen.
Why I recommend it: Understand interchange and flat-rate pricing before you sign a processor contract. The difference is real money at low volume.
The IRS test for classifying workers, plus what a 1099 filing actually requires of you as the payer.
In plain terms: This official IRS guide explains the rules for determining whether a worker is an independent contractor or an employee. Use it to understand tax obligations, classify workers correctly, or find forms to report a misclassification.
Why I recommend it: Misclassifying a worker is one of the most expensive small mistakes a new owner can make. Read this before you pay anyone.
Free, in-person business advising funded through the SBA — help with plans, financing, licensing, and hiring.
In plain terms: This search tool helps you locate your nearest Small Business Development Center by state or ZIP code. You can use it to connect with local advisors for free business consulting and low-cost training.
Why I recommend it: Free one-on-one advising in nearly every county. Most owners never realize it exists.
Sole proprietor, LLC, S corp, or partnership — what each means for taxes, liability, and paperwork.
In plain terms: This guide explains the differences between business structures like sole proprietorships, LLCs, and corporations. You can compare how each option affects your taxes, personal liability, and paperwork before you register your business.
Why I recommend it: Read this before paying a service to form an entity for you. Many owners need less than they are sold.
How to find the federal, state, and local licenses your business type needs, including industry-specific permits.
In plain terms: This government guide outlines the basic legal and operational steps needed to launch a small business. You can use it to research local regulations, choose a business structure, and identify the licenses and permits you need.
Why I recommend it: Local rules trip people up more than federal ones. Check your city and county pages too.
Step-by-step guide to hiring your first employee: EIN, state registration, payroll taxes, and required posters.
In plain terms: This government guide outlines the basic legal and financial steps for hiring workers. You can use it to set up payroll, complete required tax forms, and follow federal and state employment laws.
Why I recommend it: Your first hire is a paperwork event as much as a people event. This is the checklist.
Anthropic's free course teaching a practical framework for working with AI: delegation, description, discernment, and diligence. Good grounding before you use AI in job search, school, or client work.
In plain terms: This free online course teaches a practical framework for using artificial intelligence tools effectively and responsibly. You can practice prompting techniques, learn how to evaluate AI results, and earn a certificate of completion.
From the site: A free course from Anthropic on the 4D framework for working effectively and responsibly with AI: Delegation, Description, Discernment, and Diligence.
Why I recommend it: This is the fastest way to sound credible about AI in an interview. Take the course, then describe one task you redesigned with AI and what you checked before trusting the output.
NVIDIA's catalog filtered to its free self-paced courses covering AI, deep learning, generative AI, data science, accelerated computing, and CUDA — with certificates of competency on many tracks.
In plain terms: This website offers a collection of free, self-paced online classes in artificial intelligence, data science, and computing. You can take lessons to build new technical skills and earn certificates to share with employers.
From the site: Browse NVIDIA self-paced and instructor-led training, including free courses in AI, deep learning, generative AI, data science, and accelerated computing.
Why I recommend it: Start with a free intro course and put it on your resume under a "Continued Learning" section. Hiring managers notice vendor-name training, and NVIDIA carries weight in AI and data roles.
People of Color in Tech's walkthrough of a realistic coding-interview study plan — what to prioritize, how to schedule practice, and how to prepare for the behavioral rounds alongside the technical ones.
In plain terms: This guide explains how to build a structured study plan for coding interviews. Use it to break down job descriptions, prioritize your practice topics, and prepare for recruiter screens alongside technical rounds.
From the site: Unlocking the coding interview opens the door to top pay, benefits, and perks at premier tech companies.
Why I recommend it: The plan structure is the value here. Scattered LeetCode grinding is why most people plateau.
Coding interview practice organized by underlying concept rather than by topic list, so you learn the patterns that transfer across problems instead of memorizing individual questions.
In plain terms: This study tool helps you prepare for coding interviews by organizing practice problems by underlying concept. You can work through connected questions to learn problem-solving patterns rather than memorizing individual solutions.
From the site: PathPrep is a guided coding-interview study tool. Navigate a graph of LeetCode-style problems connected by the techniques that solve them, so concepts actually click.
Why I recommend it: Concept-first beats grinding a problem list. If you can name the pattern out loud, you can usually solve the variant they actually ask.
Open-source AI agent that scans job boards daily, cross-references your LinkedIn network for warm intros, and emails you a curated list of matches. Self-hosted — you run it with your own keys.
In plain terms: This open-source tool scans job boards daily to find openings that fit your criteria. You can connect your LinkedIn network to spot contacts at hiring companies and receive daily email updates with active job matches.
From the site: AI agent that scans job boards daily, cross-references your LinkedIn for warm intros, and emails you curated matches - evanzsolomon/job-search-agent
Why I recommend it: For the technically comfortable. Read the code before you point it at your accounts, and never let an agent send applications unreviewed.
Free, open-source resume builder with multiple templates, ATS-friendly exports, custom sections, and no paywall or watermark. Self-hostable if you want full control of your data.
In plain terms: This is a free resume builder with no paywalls, ads, or watermarks. You can choose from multiple templates to create, edit, and export ATS-friendly resumes with custom sections.
From the site: Free, open-source resume builder. Create, update, and share your resume, with no ads and no paywall.
Why I recommend it: This is my default recommendation over the freemium builders — you get a clean PDF without hitting a paywall at download.
Stanford-led study of 3 million applicants screened by a single algorithm vendor, finding racial disparities and homogeneous rejections — the same people get screened out everywhere. Explains why applicants must apply widely to reach a human.
In plain terms: This research study examines how automated screening tools used by multiple employers cause repeated rejections and racial disparities. Use this paper to understand how hiring algorithms work and why applying to more jobs helps you reach a human reviewer.
Why I recommend it: This is the evidence behind advice I give constantly: one rejection is often the same algorithm repeated, not a verdict on you.
How to Use Tech to Engage Young People in Career Navigation
JFF and Britebound research on how youth reengagement centers use digital tools with opportunity youth — what works, what pushes young people away, and how to keep tech people-centered.
In plain terms: This research report explains how youth centers use online tools and one-on-one coaching to help young people find career paths. You can learn how these programs support young adults with skills assessments, job exploration, and training options.
Why I recommend it: For anyone running a youth program: the finding that matters is that tools help only when a trusted adult is attached to them.
The ROI of Resilience: Cybersecurity Talent Management (Executive Summary)
Research summary showing skills-based, talent-friendly hiring practices save over $125,000 per cybersecurity worker through faster hiring and better retention, with a focus on widening pathways for women.
In plain terms: This research report shows how cybersecurity employers use skills-based hiring, mentorship programs, and ongoing training to retain talent. You can use this data to identify workplaces that support professional growth and clear promotion paths for women.
Why I recommend it: Good ammunition if you're arguing for skills-based hiring internally — it puts a dollar figure on it.
A fill-in résumé template with bullet formulas, metric prompts, and section order built to pass ATS screens. Make a copy to your own Drive before editing.
In plain terms: This fill-in résumé template provides structured sections and metric prompts designed to pass automated application scanners. You can copy the document to format your work history using the provided bullet formulas and sample job descriptions.
Why I recommend it: Keep the structure, replace every bullet with a number you can defend. The template only works if your results are specific.
Ultimate Guide: Make a Career Pivot and Find Happiness
Sho Dewan's workbook for changing careers — clarity exercises, transferable-skill mapping, pivot positioning, and how to talk about the switch in interviews and on LinkedIn.
In plain terms: This workbook helps mid-career professionals successfully switch industries or job roles without starting over. You can use its exercises to explore new options, identify your transferable skills, and update your resume for your target field.
Why I recommend it: The transferable-skills exercise is the part worth your time. Pivots get rejected on framing, not on qualifications.
Checklist: What to Do If You've Been Laid Off or Let Go
Practical first steps after losing a job — severance and paperwork, unemployment benefits, health coverage, references, and how to sequence your search in the first 30 days.
In plain terms: This guide outlines steps to handle the emotional and personal impact of losing a job. You can use it to establish healthy daily routines, find support, and prepare yourself before starting a new search.
Why I recommend it: Do the benefits and paperwork items in week one. Filing late for unemployment costs real money you can't get back.
A full system for behavioral interviewing using Situation, Task, Action, Result — question banks, follow-up probes, scoring, and the research behind why structured behavioral interviews predict performance.
In plain terms: This guide explains how employers evaluate behavioral interview questions using the STAR framework. You can study sample questions, scoring rubrics, and follow-up probes to prepare clear stories about your past work achievements.
Why I recommend it: Useful from both chairs. If you're the candidate, write six STAR stories and reuse them — you'll cover most questions you get.
A phase-by-phase checklist for a first interview — company research, common questions, remote/hybrid logistics, what to bring, and follow-up. Built for graduates entering the workforce.
In plain terms: This checklist guides new graduates through every stage of their first job interview. Use it to prepare answers to common questions, handle virtual or in-person logistics, and follow up after the meeting.
Why I recommend it: Print this and work down it the night before. Most first-interview nerves come from unprepared logistics, not hard questions.
Free resume builder that scores your resume against a specific job description and suggests the keywords you're missing.
In plain terms: This free online tool helps you create and update your resume to match specific job postings. You can compare your draft against any job description to find missing keywords and download your finished document.
From the site: Create ATS-friendly, job-matched resumes in minutes. Works with any job description.
MIT's resume guidance with samples by field, plus advice on translating technical projects and research into recruiter-readable bullets.
In plain terms: This guide from MIT outlines five practical steps for creating a clear, well-structured resume. You can use it to format your document, write strong bullet points about your accomplishments, and tailor your experience to specific job descriptions.
From the site: Five steps to writing a great resume. Your resume provides an overview of your experience and is often an employer's first impression of you.
Why I recommend it: Especially useful if your experience is projects and coursework rather than job titles.
The Department of Labor's free resume hub — guides, sample resumes, and downloadable templates with no signup or paywall.
In plain terms: This free government guide provides step-by-step instructions for writing and formatting a resume. You can use it to match job keywords, organize your work history, and make sure hiring software reads your application correctly.
From the site: CareerOneStop's Resume Guide can help you polish your resume to stand out in today's job market.
Why I recommend it: A free, no-signup template source — a good first stop if you have nothing yet.
UC Davis' resume walkthrough — building sections from scratch, describing experience with results, and adapting materials per role.
In plain terms: This guide shows you how to create a resume step by step. You can learn how to write each section, describe your work using results, and tailor your materials for specific jobs.
Instantly grades your resume and LinkedIn profile out of 100, flagging weak language, missing metrics, and ATS formatting problems.
In plain terms: This tool gives you instant feedback and a score on your resume or LinkedIn profile. You can upload your documents to fix weak bullet points, match job keywords, and ensure your formatting works with hiring software.
From the site: Our online resume and LinkedIn grader instantly scores your resume and profile and gives detailed feedback on how to get more interviews.
Why I recommend it: Free scan is enough to catch the obvious wording and metrics gaps.
A tight pre-submission checklist from MIT — verify formatting, consistency, tense, and impact before you send a resume anywhere.
In plain terms: This practical checklist guides you through every section of a standard resume. Use it to check your formatting, proofread your verb tenses, and make sure your work experience shows clear results before applying.
From the site: Recruiters spend just a few seconds on average looking at a resume. Using a clear and consistent format helps.
Why I recommend it: Run this before every application. It catches what you stop seeing after the tenth draft.
Veteran-focused guidance on federal hiring — translating military experience into federal resume language and using veterans' preference.
In plain terms: This guide explains the steps for creating a resume that meets federal job requirements. You can learn how to format your experience and education, target job keywords, and use the USAJOBS resume tool.
From the site: Learn the steps to write an excellent federal resume.
A free, recruiter-tested resume template with an explanation of why each section is ordered the way it is.
In plain terms: This guide provides a free, downloadable resume template formatted for applicant tracking systems. You can follow the step-by-step advice to fill in your work history, skills, and education for your job search.
From the site: Writing a resume from scratch is hard. A free downloadable resume template plus all the tips you need to make yours sparkle.
Official USAJOBS instructions for the federal resume format — required details, hours per week, and the length federal HR actually expects.
In plain terms: This official guide explains how to upload or build a resume on USAJOBS. You can use it to follow federal formatting requirements and save up to five resumes to your profile.
From the site: Official guidance on building and uploading a federal resume in USAJOBS.
Why I recommend it: Federal resumes break the one-page rule on purpose. Follow their format exactly.
Harvard's full undergraduate resume and cover letter handbook — formatting rules, action-verb lists, and annotated before/after examples across industries.
In plain terms: This guide provides formatting rules, action-verb lists, and sample resumes and cover letters across various industries. You can use the annotated before-and-after examples to write and format your own job applications.
Why I recommend it: The single best free resume handbook out there. Read the annotated examples twice.
Large library of free, editable professional resume templates — good for design-adjacent roles, with clean single-column options for ATS.
In plain terms: This website provides a large collection of free, editable resume templates. You can choose clean single-column layouts for ATS screening or select designs suited for creative roles.
Why I recommend it: Pick a simple single-column template — heavy graphics confuse applicant tracking systems.
Harvard Career Services' bullet-point resume template plus guidance on writing accomplishment statements that lead with impact.
In plain terms: This downloadable resume template is available in Microsoft Word and Google Docs formats. You can use its bullet-point layout to organize your experience and build a clear first draft.
From the site: Word (.docx) version. Accessible Word (.docx) version. Google Docs version. Use this bullet-point template to build out your first draft of your resume.
A plain-English walkthrough of writing a resume from scratch, with real examples for each section and fixes for common weak bullets.
In plain terms: This step-by-step guide explains how to write a resume from scratch. You can use its formatting advice and practical examples to build each section and highlight your work experience clearly.
From the site: Here's how to make a resume from start to finish — exactly what to write, include, and think about.
Stanford's step-by-step resume handout covering structure, section order, describing experience, and common formatting mistakes.
In plain terms: This guide walks you through the resume-writing process step by step. Use it to choose your section order, write clear descriptions of your experience, and avoid common formatting errors.
Stanford's full career resource hub — resume and cover letter handouts, interview prep, and industry guides, all free to the public.
In plain terms: This collection offers free guides, templates, and tools for every stage of the job search. You can use it to build your resume, write cover letters, explore different careers, and practice for upcoming interviews.
From the site: We have gathered a list of our favorite online career resources in one place. Whether you're exploring your career options, preparing to apply for jobs, or seeking to maximize your experience, you'll find valuable resources below to help you succeed.
UPenn's resume guide with samples across business, tech, nonprofit, and graduate-school paths, plus wording and layout standards.
In plain terms: This guide offers downloadable resume templates and section-by-section advice for different industries. You can customize the Word documents with your own experience and learn how to write effective bullet points.
From the site: Resume templates for Penn students that can be adjusted and customized across different fields and industries, each with guidance for every section.
Michigan's Career Center resume article — samples, section-by-section guidance, and tailoring advice for different industries.
In plain terms: This guide offers resume samples and step-by-step advice for writing each section. You can use it to build a clean resume and tailor your experience to specific industries.
Yale's guidance on specialized resume formats — federal, academic CV, consulting, tech, and nonprofit — and when each format is expected.
In plain terms: This guide explains how to format resumes for federal government positions, specific industries, and international jobs. You can use it to learn about the federal resume builder and find country-specific application advice.
From the site: Formats for federal government, academic, consulting, and other specialized resumes, including guidance on the USAJOBS resume builder.
Why I recommend it: Different sectors expect different formats. Match the format before you polish the words.
Government-backed strategies for a stronger resume — keyword targeting, quantifying results, and matching the job posting language.
In plain terms: This guide outlines practical strategies to help your resume stand out to employers. You can learn how to highlight your accomplishments, identify transferable skills, and use AI tools to tailor your resume for specific job postings.
From the site: Four strategies for an effective resume that sells your strengths and your brand.
Digital Marketing Strategy for Student Entrepreneurs
Slide deck on how AI tools and social platforms are rewriting brand building — breaking down viral case studies like Labubu (scarcity, lore, community) with the revenue numbers behind the hype, plus what those playbooks mean for your own launch.
In plain terms: This presentation breaks down how viral brands use storytelling, social media, and AI tools to grow their sales. You can review real-world marketing case studies and learn how to promote your business using major search and social platforms.
Why I recommend it: Study why these launches worked — story, scarcity, community — then borrow the mechanics, not the gimmick.
Slide deck of advice from working technology architects and engineers: how to open strong, when to ask clarifying questions, what depth is expected at junior vs. senior level, and how to talk through architecture, scaling, and performance.
In plain terms: This slide deck shares advice from working tech professionals on handling technical interviews. Use it to learn how to explain your coding process, tackle tough questions, and tailor your answers for junior or senior roles.
Why I recommend it: Lead with your strongest projects — interviewers dig into whatever you highlight.
Two pitch decks compared side by side: Airbnb's 10-slide deck that raised $600K, and Fyre Festival's deck, whose company later faced fraud charges, plus sample GitHub work to use as a model for your own portfolio.
In plain terms: This guide compares successful and failed pitch decks from Airbnb and Fyre Festival alongside real GitHub profiles. You can use these examples to learn how to present business ideas clearly and structure your own technical portfolio.
Why I recommend it: One idea per slide. Problem, solution, evidence. Decoration never closed a round.
A starter framework for students deciding between corporate, nonprofit, freelance, and entrepreneurship paths: defining your value proposition, getting noticed, building consistency, and understanding how you actually get paid.
In plain terms: This beginner guide helps students and first-time job seekers explore different career paths. You can build your first resume, practice basic networking conversations, and connect with youth employment programs.
Why I recommend it: Great starting point for students and anyone rebooting a career from scratch.
Step-by-step toolkit for curating a recruiter-ready GitHub: profile README, three pinned public projects, clean repo naming, and the six-section README map every project should follow. Includes a quality checklist.
In plain terms: This guide shows you how to organize and clean up your GitHub profile for job applications. You can follow the quality checklist and project outline to present your best work clearly to recruiters.
Why I recommend it: Three well-documented projects beat ten messy ones. Test your profile in an incognito window.
Slide guide to the tools that tell you what a role actually pays — Levels.fyi for role-level comp, Numbeo for cost-of-living context, Glassdoor for company intel — plus the mindset and mechanics of negotiating an offer.
In plain terms: This guide reviews tools for researching pay rates and local living costs. You can use it to determine your minimum compensation and prepare to negotiate your salary and benefits.
Why I recommend it: Pair one role-level pay tool with one cost-of-living tool before you ever name a number.
Toolkit for building and pressure-testing a one-page resume: run it through a free AI scanner, format with a clean template, and match the six-section template map. Includes fonts, margins, and a quality checklist.
In plain terms: This guide provides a six-section layout and formatting checklist for building a one-page resume. You can use it to organize your experience, set proper margins and fonts, and test your draft with an AI scanner.
Why I recommend it: Rescan after every revision, and keep a version history so you can tailor per application.
An argument that humanities and social science training produces the judgment, ethics, and interpretive skill that technical teams need as software takes on more social consequence.
In plain terms: This interview explains why technology companies actively hire people with degrees in the humanities and social sciences. Use it to learn how your non-technical background and critical thinking skills can qualify you for tech industry jobs.
Why I recommend it: If you have a humanities degree and feel behind, this is your framing. Your degree is context and judgment, which technical teams are short on.
A clear explainer on the shift from credential screening to skills assessment, including how employers weigh transferable skills and what candidates can do to make skills legible on paper.
In plain terms: This article explains why many companies now prioritize practical skills and potential over traditional college degrees. You can use it to understand modern hiring trends and emphasize your relevant abilities during your job search.
Why I recommend it: Good primer if you are early in a pivot and still unsure how to frame experience from an unrelated field.
SHRM's practitioner toolkit for employers moving away from degree screens: how to write skills-based job descriptions, assess candidates on demonstrated ability, and rebuild interview scorecards around competencies.
In plain terms: This guide explains how employers evaluate candidates based on proven abilities rather than college degrees. You can use it to understand how companies score interviews and assess hands-on skills during the hiring process.
Why I recommend it: Read this from the employer's side of the table. It tells you exactly which skills language HR is now trained to look for in your resume.
A detailed walkthrough of Microsoft LEAP: eligibility, the application and essay stages, cohort timelines, tracks offered, and what the 16 weeks actually involve.
In plain terms: This guide explains the Microsoft LEAP program, a paid returnship for people re-entering tech after a career break. You can check eligibility rules, learn the hiring timeline, and use interview prep frameworks to strengthen your application.
Why I recommend it: Read this before you touch the LEAP application. It saves you from the common mistakes in the essay stage.
The former IBM CEO on why she removed degree requirements from a majority of IBM roles, created the "new collar" job category, and built apprenticeship pipelines instead of competing for credentialed hires.
In plain terms: This article features former IBM CEO Ginni Rometty explaining why companies are shifting toward skills-based hiring instead of requiring college degrees. You can use these insights to understand how employers evaluate real skills and pursue career paths without traditional credentials.
Why I recommend it: This is the origin story behind IBM's apprenticeships. Quote the philosophy back to them in your application: they mean it.
HBS podcast interview with the CEO of OneTen, a coalition of employers committed to hiring and advancing workers without four-year degrees into family-sustaining careers.
In plain terms: This podcast interview explains how major employers are shifting toward skills-based hiring instead of requiring college degrees. You can listen or read the transcript to learn how companies are opening career opportunities for workers without four-year degrees.
Why I recommend it: OneTen's employer coalition is a concrete target list. Search their partner companies when you job hunt.
Practical guidance for career changers over 50 and 60 entering tech: which roles favor experience, how to handle age bias in screening, and how to sequence learning without overcommitting.
In plain terms: This guide offers practical advice for older adults looking to start a tech career after 60. Use it to explore matching roles, learn how to update your skills, and showcase your past experience to employers.
Why I recommend it: For my 50-plus readers: your judgment and stakeholder skills are the product. Lead with those, and let the tools be the second paragraph.
A step-by-step personal account of self-teaching, portfolio building, and applying until landing a first developer role without a computer science degree.
Why I recommend it: Copy the process, not the timeline. Everyone's runway is different, and comparing yours to a blog post is a fast way to quit.
A regional roundup of paid tech apprenticeships available to California residents, with eligibility notes and an alternative program for people who do not land one.
In plain terms: This guide details paid tech apprenticeships across California alongside a free IT training alternative. You can compare pay, eligibility rules, and training formats to find a practical path into an entry-level tech job.
Why I recommend it: Regional lists like this beat national lists when you need something you can actually commute to or qualify for.
Announcement of the expansion of Next Chapter, a paid apprenticeship program that hires formerly incarcerated people into software engineering roles, to additional technology companies.
In plain terms: This article explains Next Chapter, a software engineering apprenticeship program designed for formerly incarcerated individuals. Job seekers can learn about paid training, mentorship, and career opportunities at technology companies like Slack, Dropbox, and Zoom.
Why I recommend it: One of the few second-chance tech pipelines with real hiring behind it. Share this with anyone who thinks a record ends the conversation.
A plain-language breakdown of IBM's apprenticeship requirements, tracks, pay structure, and what non-traditional backgrounds the program is designed for.
In plain terms: This guide explains IBM's paid apprenticeship program for people without a college degree. You can explore training paths in IT, cybersecurity, and manufacturing to learn how to start a new career.
Why I recommend it: Straightforward and current. Pair it with the IBM apprenticeship listing already in the hub.
How the Next Chapter model was documented and packaged so other employers can adopt fair-chance hiring practices for technical roles.
In plain terms: This resource details an initiative that helps formerly incarcerated individuals build careers in the technology sector. You can learn about paid software engineering apprenticeships, mentorship programs, and tech companies committed to fair hiring.
Why I recommend it: If you are advocating for fair-chance hiring at your own employer, this is the playbook to hand your leadership.
A first-person account of moving from a coding bootcamp into a professional engineering role, including the skill gaps that showed up on the job and how they were closed.
Why I recommend it: Firsthand accounts are worth more than program marketing. Note what she says about the first 90 days on the job.
Reporting on what Google's hiring research found actually predicts performance, and why the company stopped treating GPA and school prestige as meaningful screens for most roles.
In plain terms: This article explains what Google looks for in job candidates beyond college grades and school prestige. Use this advice to choose challenging coursework, build analytical skills, and highlight practical problem-solving abilities to employers.
Why I recommend it: The famous "degrees do not predict performance" reporting. Context for why skills-first hiring started at the big platforms.
A long crowd-sourced discussion among working engineers arguing both sides of the degree question, with detail on where formal study helps and where self-teaching is sufficient.
Why I recommend it: Read the disagreements, not just the top comment. The pattern: degrees help with first-job screening, portfolios help with everything after.
A staffing firm's breakdown of how IT hiring managers evaluate certifications, portfolios, and hands-on assessments instead of degrees, and which technical skills carry the most weight in screening.
In plain terms: This guide explains how tech employers increasingly hire based on practical skills and certifications rather than college degrees. You can use it to find in-demand IT roles that you can enter through bootcamps, online courses, and self-study.
Why I recommend it: Recruiters wrote this for other recruiters. Mirror their vocabulary in your resume and LinkedIn headline.
The Consumer Technology Association on why tech employers are expanding registered apprenticeships, how the programs are structured, and what outcomes companies report for apprentice retention.
In plain terms: This article explains how tech apprenticeship programs work and why employers use them to train workers. You can learn how these on-the-job training opportunities help people without college degrees earn certifications and start careers in technology.
Why I recommend it: Industry-level view of why apprenticeships keep growing. Reassuring if you are worried these programs are a temporary fad.
World Economic Forum podcast episode on the skills-first shift: which capabilities are growing fastest, how employers are restructuring roles, and what workers should invest their learning time in.
Why I recommend it: Listen on a commute. The point that sticks: skills expire faster than degrees, so a learning habit beats a credential.
SHRM research on how widely skills-first hiring has actually been adopted, where employers still fall back on degree requirements, and what changes inside companies that commit to it.
In plain terms: This research report explores how employers are shifting toward hiring based on skills and practical experience rather than college degrees. You can use it to understand the credentials companies look for and tailor your job applications around your strongest abilities.
Why I recommend it: Useful reality check. Plenty of companies announce skills-first hiring without changing the screen, so lead with proof of work anyway.
Harvard Business School profile of Interapt, which trains and places people from economically overlooked regions into paid tech roles, with detail on how the earn-while-you-learn model is financed.
In plain terms: This interview explains how Interapt trains and places job seekers into paid technology roles without requiring a tech background. You can read it to understand how their apprenticeship model works and what they look for in applicants.
Why I recommend it: Proof that regional and rural talent gets hired when someone builds the bridge. Worth knowing if you are outside a tech hub.
JUST Capital's newsletter tracking corporate commitments on worker pay, advancement, and skills-based hiring across large American employers.
In plain terms: This newsletter tracks pay, career advancement, and skills-based hiring practices across large American employers. You can use it to research companies that prioritize fair wages and hire based on skills rather than degrees.
Why I recommend it: Use it as a screening tool for where to apply. Companies that publish worker metrics tend to actually promote from within.
An overview of new collar work: technical roles that require real skill but not a four-year degree, built through certifications, apprenticeships, and on-the-job training rather than tuition.
In plain terms: This article explains how technical careers in fields like IT and healthcare value practical skills over college degrees. You can use it to explore new job options and find alternative training routes like apprenticeships, bootcamps, and certifications.
Why I recommend it: Helpful language for describing yourself. "New collar" reframes a non-traditional path as a category rather than a gap.
Airbnb's engineering team explains how Connect was designed, who it is for, how apprentices are supported and mentored, and what work they ship during the program.
Why I recommend it: The most honest look at daily life inside an apprenticeship. Use its language when you write your Connect application.
A university overview of the durable skills a liberal arts education builds — writing, analysis, communication, adaptability — and how they map onto professional roles.
In plain terms: This article explains the practical skills a liberal arts degree builds, including clear writing, critical thinking, and adaptability. You can use it to see what employers look for and learn how to explain your broad background to hiring managers.
Why I recommend it: Translate each skill listed here into a bullet with a result attached. That is how a liberal arts degree stops sounding vague in interviews.
NYC program connecting nonprofits and technologists around AI and civic technology.
In plain terms: This New York City initiative connects nonprofits with technology companies and skilled volunteers to help them use artificial intelligence. You can access free AI prompt guides and reports, apply for upcoming cohorts, or sign up to volunteer your tech skills.
From the site: Decoded Futures builds bridges between nonprofits, tech providers, and intermediaries working together to tackle NYC challenges with AI.
Why I recommend it: A good room to be in if you want AI work that serves people rather than just shipping features.
Paid micro-internships — short freelance projects posted by companies, open to students and recent grads.
In plain terms: This platform connects students and job seekers with paid, short-term freelance projects at real companies. You can apply for flexible, mostly remote assignments to gain hands-on work experience and build your resume.
From the site: Parker Dewey connects college students and recent grads with paid, short-term projects at real companies. Browse open projects and apply free.
Why I recommend it: Treat each project as an audition. Several of these turn into referrals or full offers.
A simple free tool for cleaning watermarks and clutter out of text, docs, PDFs, and images before you share them.
In plain terms: This free web tool removes hidden AI marks, odd spacing, and metadata from text, documents, and images. You can paste text or upload files to quickly clean up your content before sharing it.
From the site: A simple Sabrina tool for cleaning text, docs, PDFs, and images before you share.
Why I recommend it: Handy for tidying up documents you have permission to reuse — templates, your own exports, sample files.
Free Google tool that maps your experience to possible career paths and the skills each one needs.
In plain terms: This free tool uses artificial intelligence to analyze your work experience and skills. You can use it to discover new career paths and see what skills you need for them.
From the site: An AI-powered tool to help you uncover career potential and analyze your skills to suggest new career paths.
Why I recommend it: Use this when you cannot name what you want next. It turns a vague feeling into job titles you can research.
A friendly, in-person developer community with chapters that host free casual meetups for people learning and working in tech.
In plain terms: This community organizes free, in-person meetups across the country for people of all skill levels in tech. You can attend local events to work on projects, learn new skills, find mentors, and network with other developers.
From the site: A meetup for developers to grow and make friends, in-person, in cities across the US.
Why I recommend it: Show up twice and you will know people. This is the lowest-pressure way I know to build a tech network.
Course platform with certificates from universities and companies, including free audit options.
In plain terms: This online learning platform offers courses, professional certificates, and degrees taught by top universities and companies. You can build career skills in areas like data analytics, IT, and business, with free options to audit classes.
From the site: Learn job-ready skills with online courses, Professional Certificates, Specializations, and degrees from Google, Meta, Stanford, and more.
Why I recommend it: Pick one certificate and finish it. A half-finished pile of courses does nothing for your resume.
Free virtual job simulations from major employers that show you what the work actually looks like.
In plain terms: This platform offers free, self-paced virtual job simulations created by top employers. You can complete realistic workplace tasks, explore different careers, and earn certificates to add to your resume.
From the site: Use Forage job simulations to build skills and learn about roles in data, engineering, investment banking and more at companies like JPMorgan, BCG, and Red Bull.
Why I recommend it: Finish one and name it in your interview. It shows initiative and gives you specifics to talk about.
Internship and early-career opportunity platform aimed at students and first-job seekers.
In plain terms: This website helps high school and college students find early-career work. You can use it to search for internships, part-time jobs, and entry-level positions.
From the site: Starteryou connects high school and college students with internships, part-time jobs and entry-level opportunities.
Why I recommend it: Apply early in the cycle. Volume matters most at the start of a career.
Talent network connecting engineers and operators with fast-moving startups.
In plain terms: This free talent network connects engineers and operators with early-stage startups. You can sign up once to get direct introductions to founders who are actively hiring.
From the site: Join the speedrun talent network. One signup. Warm intros to founders. Hundreds of placements across the portfolio. Free for candidates, always.
Why I recommend it: Startup networks like this move fast. Keep your profile current so you are in the batch when they source.
NYC-based tech social events and meetups for engineers, designers, and career switchers.
In plain terms: This community hosts weekly networking meetups in New York City for tech workers, students, and job seekers. You can attend relaxed social gatherings to connect with local professionals, discuss industry trends, and discover new career opportunities.
From the site: Weekly networking events for developers, data scientists, cybersecurity professionals and tech enthusiasts in New York.
Why I recommend it: If you are job searching in New York, put one of these on your calendar every month.
Short, structured remote projects with real companies that give you portfolio work and a reference.
In plain terms: This website offers short, remote projects with real companies across fields like marketing, finance, and data analysis. You can apply to complete structured work, build samples for your portfolio, and gain practical experience.
From the site: Gain professional experience through externship opportunities with companies like Meta, PwC, Pfizer, National Geographic, Snapchat, Cargill and HP.
Why I recommend it: No experience is the hardest wall to climb. An externship gives you something concrete to put on the resume.
Free, tuition-free tech training with job placement support in cities across the U.S.
In plain terms: This program provides free technology training courses in cities across the United States. You can build tech skills, earn industry certifications, and receive support to find an IT job.
From the site: Per Scholas provides tuition-free IT job training in cities where it is needed most.
Why I recommend it: One of the strongest no-cost paths into tech. Rigorous, and the placement team is real.
The official documentation and tutorials for Python's core machine learning library.
In plain terms: This website provides official guides and examples for a popular Python machine learning library. You can use it to learn data analysis, sort information, and build predictive models to build your technical skills.
Why I recommend it: If you say data science on your resume, you should be able to work through these examples.
The Knowledge House Founder's Directory — 2026 Edition
A one-page clickable directory of accelerators, funds, and small-business support beyond Y Combinator: NY/NJ, Atlanta, Los Angeles, DMV, and Baltimore, plus national programs for underrepresented founders, federal agencies, and corporate grant programs.
In plain terms: This directory lists business accelerators, grants, investors, and government support programs across several regions and nationwide. You can use the clickable links to find funding, free mentoring, and resources to help start or grow your business.
Why I recommend it: Most founders only know Y Combinator. This directory is where the actual money and mentorship live for people building outside Silicon Valley — several programs take no equity at all.
Government & Community Small-Business Support (Founder's Directory)
The government and community pages of the Founder's Directory: SBA, local SBDCs, SCORE mentoring, MBDA business centers, Women's Business Centers, Grants.gov, SBIR/STTR R&D grants, plus Comcast RISE, Verizon Digital Ready, Hello Alice, IFundWomen, and LISC.
In plain terms: This directory lists government and community programs that support small business owners and startups. You can use it to find free business coaching, connect with expert mentors, and search for grants.
Why I recommend it: Free 1:1 business coaching from an SBDC or SCORE mentor is the most underused resource in this whole library. Book a session before you pay a consultant.
Mock Interview & Company Intel Tools (from the AI Job Search Tools guide)
Practice interviews with AI or live peers, then research the company before you walk in — includes Yoodli, Exponent (formerly Pramp), Verve AI, Glassdoor, Blind, Crunchbase, The Org, and salary databases.
In plain terms: This curated guide lists free and low-cost tools for interview practice and company research. You can run mock interviews with AI or live peers, get feedback on your answers, and look up salary data and workplace reviews.
Why I recommend it: Do one recorded mock interview before every real one. Then look up the salary band so the number conversation is not a surprise.
Forming an LLC or S-Corp for Your Tech Business or Consulting Practice
A step-by-step guide to forming an LLC (name search, registered agent, state filing, operating agreement, free EIN, business banking) and electing S-corp tax status, with filing fees and direct portal links for NY, NJ, GA, and CA, plus a section on 1099 contractor and consulting taxes.
In plain terms: This guide explains how to set up an LLC or elect S-corp tax status for freelance and consulting work. You can use it to register your business, get a free tax ID, and understand your self-employment taxes.
Why I recommend it: Most consultants should start as a plain LLC and only add the S-corp election once net profit is consistently past roughly $50-80K. Get the free EIN yourself — never pay for it.
AI Resume & Interview Tool Picks (from the AI Job Search Tools guide)
The resume-writing and AI-interview sections of my AI tools guide: ATS-friendly resume builders and graders (Reactive Resume, Resume Worded, Rezi, Kickresume, Teal) plus mock-interview coaches (Yoodli, Exponent, Verve, Huru, Final Round).
In plain terms: This guide features free and low-cost AI tools for resumes and job interviews. You can use them to build and score ATS-friendly resumes or practice mock interviews with automated coaching.
Why I recommend it: Use the resume graders before you apply anywhere — the fastest wins usually come from fixing weak verbs and missing metrics, not from a new template.
Best Free & Low-Cost AI Tools for Your Job Search (2026)
A 3-page guide with 35 vetted AI tools across resume writing, mock interviews, job search copilots, job scraping, company intel, salary data, and job-fit scoring — each with its real pricing checked against the vendor's own page.
In plain terms: This guide lists 35 verified free and low-cost AI tools for job seekers. You can use it to find help with writing resumes, practicing interviews, checking salaries, and finding open roles.
Why I recommend it: Start here if you are overwhelmed by AI job-search tools. Everything listed has a usable free tier, and the pricing was verified directly with each vendor.
Nonprofit publication covering the intersection of technology, platforms, and democratic institutions.
In plain terms: This nonprofit publication provides news, opinion, and analysis on how technology impacts government and democracy. You can read articles and listen to podcasts to stay informed on tech laws, platform regulations, and artificial intelligence ethics.
From the site: Tech Policy Press is a nonprofit media and community venture intended to provoke new ideas, debate and discussion at the intersection of technology and democracy. We publish opinion and analysis.
Why I recommend it: They publish outside contributors — a real place to build a byline in this field.
Princeton scholar on race, technology, and justice, author of Race After Technology.
In plain terms: This website features the work of scholar Ruha Benjamin on race, justice, and modern technology. You can read her articles, explore her books, and access educational resources on the social impact of innovation.
From the site: Ruha Benjamin is an Associate Professor of African American Studies at Princeton University, where she studies the social dimensions of science, technology, and medicine.
Why I recommend it: Essential reading before you take any job building automated decision systems.
Social Science Research Council program funding and publishing work on technology, power, and public life.
In plain terms: This research platform publishes articles and essays exploring how technology and artificial intelligence affect workers and society. You can read expert reviews and analyses to learn about labor protections, tech ethics, and workplace automation.
From the site: The Just Tech Platform is a forum, catalogue, and showcase for researchers and practitioners at the nexus of technological development, inequity, and social justice.
Why I recommend it: Great source of fellowships and calls for proposals if you want funded research work.
Independent, community-rooted AI research institute founded by Timnit Gebru, studying the real harms of AI instead of the hype.
In plain terms: This independent institute studies the real-world harms and community impacts of artificial intelligence. You can explore their research publications, learn how technology affects diverse groups, and look for open career opportunities.
From the site: The Distributed AI Research Institute is a globally distributed organization of academics, activists, and engineers conducting community-rooted research.
Why I recommend it: Start here if you want the research-backed counterweight to AI marketing.
Community awareness project mapping U.S. AI data centers and the local issues they create.
In plain terms: This interactive map tracks major AI data center projects and proposals across the United States. You can explore the local environmental impacts of these facilities and submit reports about issues in your area.
From the site: Interactive map of major AI data centers across the United States — built, being built, proposed and cancelled. Understand the community impact and report issues in your area.
Why I recommend it: Check the map for your area before a data center becomes news in your town.
Newsletter reporting on the fight to reshape technology in the public interest.
In plain terms: This newsletter reports on efforts to reshape technology in the public interest. You can read regular articles to stay informed about technology ethics and industry reform.
From the site: Idea Trafficking. Click to read Hard Reset, by Trafficker 01, a Substack publication. Launched 5 years ago.
Why I recommend it: Skimmable and current — good for staying briefed in ten minutes a week.
Project and publication examining what we teach AI systems and what those choices say about us.
In plain terms: This project shares anonymous handwritten notes about people to examine what humans teach artificial intelligence systems. You can read the publication to reflect on the personal choices and ethics behind modern technology.
From the site: Anonymous handwritten notes about people
Why I recommend it: Useful for language and framing when you explain AI risk to non-technical people.
Brookings fellow writing on AI, workers, and the future of good jobs.
In plain terms: This newsletter features writing from a Brookings fellow about artificial intelligence, workers, and the future of jobs. You can read it to stay informed about how technology impacts the modern workplace.
From the site: Click to read Molly Kinder on Substack. Launched 15 days ago.
Why I recommend it: Her worker-first framing is exactly how to talk about AI in a job interview.
Harvard historian and New Yorker writer placing today's technology fights in a much longer story.
In plain terms: This website collects the books, essays, and interviews of historian and writer Jill Lepore. You can read her work to explore historical perspectives on law, politics, and modern technology.
Why I recommend it: History gives you perspective that keeps you steady in a hype cycle.
The nation's Black think tank, with a technology policy program focused on equity in the digital economy.
In plain terms: This research organization provides reports and data on workforce policy, technology, and economic issues affecting Black Americans. You can explore their research briefs, reports, and events to learn about labor trends and policy solutions.
From the site: About The Joint Center for Political and Economic Studies is a 501(c)(3) non-profit organization based in Washington, D.C. that creates ideas to improve the socioeconomic status and civic engagement of African Americans. Founded in 1970 to support newly-elected Black officials who were moving from civil rights activis…
Why I recommend it: Their tech policy team publishes work you can cite and hires people from nontraditional paths.
Job board for social impact technology roles at nonprofits, government, and mission-driven companies.
In plain terms: This job board features technology roles focused on social impact. You can find openings at nonprofits, government agencies, and mission-driven companies.
Why I recommend it: Fewer listings than the big boards, but a much higher share worth applying to.
Reporting on the political ideology and ambitions of Silicon Valley's power brokers.
In plain terms: This publication offers investigative reporting on the political ideologies and ambitions of powerful technology leaders. You can read articles and analysis to understand how tech industry figures influence government and democracy.
From the site: Silicon Valley tech billionaire politics: authoritarianism, fascism, plutocracy, weirdness
Why I recommend it: Context on who is funding what — helpful when you vet a potential employer.
Author and activist writing on platform power, monopoly, and digital rights.
In plain terms: This website collects articles, books, and podcasts focused on digital rights, tech monopolies, and online privacy. You can read critical essays, listen to podcast discussions, and download free books to better understand how modern technology affects society.
Why I recommend it: Read him for the vocabulary — he names the patterns other people only feel.
Ongoing research archive on how AI and automation affect wages, workers, and economic power in the U.S.
In plain terms: This research archive provides articles and reports on how artificial intelligence affects the workforce. You can explore these studies to learn how new technologies and automation impact jobs, wages, and worker protections.
From the site: Content archives for the Washington Center for Equitable Growth’s work on AI, tech, & the economy.
Why I recommend it: Use this when you need real numbers on AI and jobs for a proposal or interview.
Tailors your resume to each job posting and tracks your applications in one place.
In plain terms: This online tool helps you create resumes and organize your job search in one place. You can tailor your resume keywords to match specific job descriptions and track all your applications from start to finish.
From the site: Create a professional resume in minutes with Teal. Create unlimited personalized resumes for every job you apply for.
Why I recommend it: The free tier is useful. Let it draft, then you edit for truth and voice.
A free, clear PDF guide with strong resume samples for every experience level.
In plain terms: This resource provides free guides, formatting templates, and examples for resumes, CVs, and cover letters. You can review samples for different experience levels and download templates to write your own application materials.
From the site: A resume is a brief, informative document summarizing your abilities, education, and experience. It should highlight your strongest assets and differentiate you from other candidates. Used most …
Why I recommend it: Start here if you are staring at a blank page. Copy the structure, not the words.
Build a lender-ready business plan section by section, for free.
In plain terms: This free government guide helps you research, structure, and write a business plan from start to finish. You can use downloadable templates and federal market data to calculate startup costs and create a plan for lenders.
From the site: Plan to make your great idea into a great small business using SBA’s data and trend resources, business plan templates and startup cost calculator. Market research and competitive analysis Write your business plan Calculate your startup costs Establish business credit Fund your business Buy an existing business or fra…
Why I recommend it: If you want a loan or a grant, you need this document. Start rough, refine later.
Find your nearest free, government-funded career center and training programs.
In plain terms: This tool helps you find nearby American Job Centers and government-funded employment services. You can locate in-person help with your job search, attend workshops, use free computers, and explore local training programs.
From the site: Find local workforce services for employment help.
Why I recommend it: Most people have no idea these exist. Free coaching, free training, real money.
A step-by-step checklist for a headline, about section, and skills that get found.
In plain terms: This guide offers a step-by-step checklist for improving your LinkedIn profile. Use it to update your headline, about section, and skills so recruiters can easily find you.
From the site: The Talent Blog is your source for tips, strategies, and inspiration to help you hire and develop talent
Why I recommend it: Recruiters search by keywords. Put the job title you want in your headline.
Real, crowd-sourced compensation data so you negotiate with numbers, not nerves.
In plain terms: This website provides salary and benefits data across different companies, job titles, and career levels. You can compare compensation numbers and research pay to help negotiate your next job offer.
From the site: Search 1M+ data points for different companies, job titles, career levels, and locations. Explore our tools to help you get paid more!
Why I recommend it: Bring a range, not a single number, and anchor it to this data.
Free, good-looking pitch deck and one-pager templates you can edit in minutes.
In plain terms: This website offers free templates for pitch decks and one-page overviews. You can quickly customize the designs to present your business ideas.
Why I recommend it: Ten slides, one idea per slide. Design is not your bottleneck — clarity is.
A simple worksheet for building repeatable stories for behavioral questions.
In plain terms: This guide explains how to use the STAR method to answer behavioral job interview questions. You can use the step-by-step instructions and examples to prepare clear, structured stories about your past work experience.
From the site: Use the STAR interview method to craft simple but impressive answers to the most common interview questions—especially ones that begin with “Tell me about a time…”
Why I recommend it: Write six stories. They will cover about 80% of the questions you get.
Career strategy for landing roles without applying to hundreds of postings.
In plain terms: Follow this profile on LinkedIn for career search strategies. You can use his advice to land jobs without applying to hundreds of postings.
Why I recommend it: Why follow: his networking templates get replies from real hiring managers.
Practice interviews out loud and get instant feedback on filler words and pacing.
In plain terms: This tool lets you practice job interviews out loud with simulated conversation partners. You get instant feedback on your pacing, filler words, and delivery so you can improve your speaking skills.
From the site: Enterprise AI roleplay platform for sales enablement, partner training, and L&D. Practice pitches, demos & crucial conversations. Trusted by Google, Sandler, Korn Ferry + more.
Why I recommend it: Great for people who freeze up on video calls. Two sessions makes a real difference.
Free skill-building courses and certificate prep from Google.
In plain terms: This website offers flexible online training and certificate programs in fields like IT, data analytics, and cybersecurity. You can take self-paced courses to learn practical AI skills, prepare for interviews, and qualify for entry-level jobs.
From the site: Grow your career or business and gain essential AI Skills with Google Career Certificates or other online courses and trainings from Grow with Google.
Why I recommend it: A low-risk way to test whether a new field actually interests you.
Free invoicing, receipts, and basic accounting for solo founders.
In plain terms: This online software helps freelancers and small business owners manage their finances in one place. You can track income and expenses, send invoices, scan receipts, and accept client payments online.
From the site: Create beautiful invoices, accept online payments, and make accounting easy—all in one place—with Wave’s suite of money management tools.
Why I recommend it: Separate your business money from day one. This makes tax season painless.
Buying and building small businesses, explained in plain language.
In plain terms: This is the LinkedIn profile of an expert who shares advice on buying and building small businesses. Follow her page to learn straightforward tips on acquiring and operating a business.
Why I recommend it: Why follow: she reframes entrepreneurship as buying cash flow, not chasing unicorns.
Pick your state and get a direct link to its unemployment insurance filing system — the fastest route to a claim after a job loss.
In plain terms: This federal guide explains how unemployment insurance works across the United States. You can check basic eligibility rules and find your state agency to file a claim for benefits.
Why I recommend it: File the week you lose the job, even if you think you may not qualify. Rules vary by state.
