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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Answers come only from resources in this hub, with the sources listed underneath.
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.
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.
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.
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 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.
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.
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.
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.
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.
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.
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.
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.
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.
