13 free resources on this topic. Everything here is free and hand-picked. You can also search within this topic.
Free PDF glossary from KDnuggets defining dozens of core AI concepts, from algorithms and training data to generative AI and large language models.
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.
Long, source-backed guides built from the questions people actually search for, written by subject-matter experts.
From the site: In-depth, source-backed guides written by subject-matter experts, built from the questions millions of people search for every day.
Why I recommend it: Better than a listicle because it cites its sources. Still check the date on anything about tools or rules, since both move fast.
Free online encyclopedia from xAI whose articles are generated by its AI models rather than written by human editors. Readers can suggest new articles and edits, which Grok checks against sources before approval; the homepage reports more than 1.1 million approved edits. Useful as a case study in AI-generated reference material and media literacy.
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.
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.
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.
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.
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.
Writing of Adam Elkus on technology, security, AI and political violence — long-form essays connecting computing history with policy and human values.
Why I recommend it: Follow for the slower, historically grounded take on AI debates.
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.
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.
