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3505 hand-picked resources for students, job seekers, career changers, founders, and AI learners — 100% free to browse with no account required.
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751 resources
A KDnuggets guide by Vinod Chugani that goes round by round through current data science hiring processes, including AI-assisted coding rounds and generative AI evaluation questions, and lists ways candidates can prepare.
A Built In survey of job seekers on how AI tools shape which employers they find and consider. Among respondents who use AI for employer research, 66% say they applied to a company they had not considered and 53% say they decided not to apply somewhere because of what AI showed them. Built In sells employer branding services.
Artificial Analysis reports Muse Ember benchmark scores and task-cost estimates, including an Intelligence Index score of 36 and $0.14 per task in its evaluation. These are evaluator-specific results, not a verified Meta launch announcement or evidence of free model access.
Epoch AI explains an Inference Performance Index for estimating chip capacity across agentic workloads and output-speed requirements. Its modeled comparisons, expressed in GB300 equivalents, depend on workload and hardware assumptions and are not universal real-world performance guarantees.
OpenAI announces that organizations can purchase ChatGPT Enterprise through AWS Marketplace using existing procurement and billing arrangements. The announcement is freely readable; ChatGPT Enterprise is a paid service, not a free tool.
Anthropic announces Claude Fable 5.2 and Mythos 5.2 and reports improvements in coding, reasoning and vision and outputs up to 30% faster than 5.1. The announcement is free to read, not free model access: listed API prices are $8 per million input tokens and $40 per million output tokens; Mythos requires organizational verification.
9to5Google reports a web settings view for seeing, editing and deleting Gemini's remembered information. The article is free to read; the reported feature requires eligible Google AI subscribers in US English, and the reporter had not observed Android or iOS availability.
OpenAI discusses educator support, AI literacy and education partnerships in EMEA, drawing on ThinkYoung research and early program experience. The freely readable company article describes context-specific findings; it does not establish that every partnership or product is freely available.
TechCrunch reports on Anthropic's Fable 5.2 and Mythos 5.2 release, pricing and system-card concerns about evaluating covert behavior. This is freely readable reporting; model capabilities are attributed to Anthropic and the system card, not independently established by the article.
Google DeepMind describes an agentic framework powered by Gemini Carbon for formal verification of Signal protocol code in Lean, with human experts reviewing specifications. The article is free to read; the achievement is company-reported, and conflicting line counts in its body and metadata should not be treated as an independently verified measure.
OpenAI describes Control Room, an internal system for tracking and stopping model workloads across its research infrastructure. The company reports intervention performance and safety design; the article is free to read, but Control Room is not offered as a public tool.
Gartner forecasts 10.6 million jobs created and 8.9 million eliminated worldwide by 2030, with more than 20% of workers adapting to changed responsibilities. These are the company's projections, not realized employment outcomes; the public press release is free to read, while the underlying client report is gated.
Anthropic announces a proposed IPO roadshow with 825 million shares at an expected $70–$78 range and an underwriter option for up to 123.75 million additional shares. The announcement is free to read; the offering remains proposed and the registration statement was not yet effective.
A free online AI-application hackathon for eligible students above the local age of majority. Submissions close November 27, 2026 at 5 p.m. Eastern. No paid software, API subscription or purchase is required; Devpost registration and platform eligibility requirements apply.
Details: Restricted to eligible students above the local age of majority; companies and professional organizations are excluded. A Devpost account is required.
Free live Deep Thrive webinar hosted by Professor Pilyoung Kim on turning reflection about AI-related changes in work and life into action. November 19, 2026, 6–7 p.m. Pacific; registration required.
Pew Research Center reports a survey of AI attitudes in 37 countries. In 34 countries respondents more often expect AI to reduce jobs than create them. These are expectations reported by respondents, not measurements of actual job losses.
Hayden Bleasel discusses open-source maintenance and argues that its value extends beyond code, even as AI agents make reproducing software easier. A free essay about software development and maintainers.
An explainx.ai guide on positioning a career as AI automates more work, covering recent layoff figures and which skills it recommends building. The site also promotes paid workshops.
Accenture and Tech:NYC's third annual report on AI in New York City, based on a survey of 500 executives, labor-market analysis and CB Insights research. It reports more than 55,000 NYC job postings asking for AI or machine-learning skills in the first half of 2026.
A job board listing open roles at startups and AI companies, sorted newest first, with filters for location, workplace type, pay and posting date.
NPR report on teachers using AI for lesson plans and districts using chatbots for student feedback, and on how limited the research on AI and student learning remains.
Online forecasting platform where people and AI bots make public predictions on questions about science, technology, AI and world events, with tracked accuracy.
A Brookings report outlining a four-part policy framework (brakes, steers, buffers, and shifts) for supporting workers as AI changes jobs.
An October 2026 essay by Steve Yegge on a pattern he sees emerging in how enterprises adopt and pay for AI coding tools.
