Resource Hub
2467 hand-picked resources, updated every week. Search it, filter it, or just browse a collection and see what catches your eye. Want today’s headlines instead? Read the free AI news feed.
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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
Answers come only from resources in this hub, with the sources listed underneath.
16 resources
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 step-by-step tutorial on building a simple AI "world model" that predicts what happens next in an environment.
Why I recommend it: Hands-on and free; assumes some Python. Written by a single contributor, so check the code as you go.
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.
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.
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.
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 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.
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.
Leading design publication covering UX, product thinking, and design careers in tech.
Why I recommend it: The clearest read on what design and product teams actually value in a portfolio.
Formerly The Startup — Medium's largest active publication, covering career advice, entrepreneurship, and the creator economy.
Why I recommend it: Wide range and easy to submit to if you want writing samples with reach.
Developer-focused publication for engineers working across different tech stacks and roles.
Why I recommend it: Hands-on developer writing — good for keeping skills current between roles.
Business publication covering work culture, career navigation, and the forces shaping the business world.
Why I recommend it: Helpful context on why workplaces behave the way they do.
Global community of startups and founders, covering fundraising, product development, and market research.
Why I recommend it: Useful for seeing how other founders describe the same problems you have.
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 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.
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.
