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← Current AI evaluation of world models is too narrow, favoring static…

14 connected korrents · 10 moments on record from 3 Feb 2025 to 4 Sept 2026.

Everything filed under world models world models Everything filed under recursive self-improvement recursive self-improvement Everything filed under scaling laws scaling laws Everything filed under AI alignment AI alignment Everything filed under LLMs LLMs Same subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subject Read this korrent: Current AI evaluation of world models is too narrow, favoring static representations learned from massive datasets over efficient learning through interaction Current AI evaluation of world models istoo narrow, favoring staticrepresentations learned from massivedatasets over efficient learning throughinteraction Last stated a year ago 17 Jul 2025 FC François Chollet — holds since 2025-07-17 — tap for who they are Same subject: An adaptive agent's world model cannot be a static representation learned once and fixed — tap to centre the map on it An adaptive agent's world modelcannot be a static representationlearned once and fixed Last stated a year ago 17 Jul 2025 FC François Chollet — holds since 2025-07-17 — tap for who they are Same subject: Coding is not just another application domain for AI; it is the meta-skill that lets AI generate its own training material and start the recursive self-improvement loop. — tap to centre the map on it Coding is not just anotherapplication domain for AI; it is themeta-skill that lets AI generate itsown training material and start therecursive self-improvement loop. Last stated a month ago 10 Aug 2026 FC François Chollet — holds since 2026-08-10 — tap for who they are Same subject: Games are particularly rich and controlled environments uniquely well-suited for evaluating rapid world model induction in AI — tap to centre the map on it Games are particularly rich andcontrolled environments uniquelywell-suited for evaluating rapidworld model induction in AI Last stated a year ago 17 Jul 2025 FC François Chollet — holds since 2025-07-17 — tap for who they are Same subject: Human adaptability is fundamentally linked to the efficient construction and refinement of internal world models — tap to centre the map on it Human adaptability is fundamentallylinked to the efficient constructionand refinement of internal worldmodels Last stated a year ago 17 Jul 2025 FC François Chollet — holds since 2025-07-17 — tap for who they are Same subject: Rapid world model induction will be critical for achieving robust, general AI that functions in complex, fast-changing real and human worlds — tap to centre the map on it Rapid world model induction will becritical for achieving robust,general AI that functions incomplex, fast-changing real andhuman worlds Last stated a year ago 17 Jul 2025 FC François Chollet — holds since 2025-07-17 — tap for who they are Same subject: The scaling law for world models was a conviction held in advance, not a discovery; the devils were always in the architecture choices and the data mixture. — tap to centre the map on it The scaling law for world models wasa conviction held in advance, not adiscovery; the devils were always inthe architecture choices and thedata mixture. Last stated 6 days ago 4 Sept 2026 FL Fei-Fei Li — holds since 2026-09-04 — tap for who they are Same subject: AI systems keep trying hard outside training because a model that only exerted itself when it detected training would be useless and would be selected away. — tap to centre the map on it AI systems keep trying hard outsidetraining because a model that onlyexerted itself when it detectedtraining would be useless and wouldbe selected away. Last stated a week ago 1 Sept 2026 AC Ajeya Cotra — holds since 2026-09-01 — tap for who they are Same subject: Today's models see a thousand times more data than an eighteen-year-old and are no better for it, so far more data-efficient algorithms must be possible. — tap to centre the map on it Today's models see a thousand timesmore data than an eighteen-year-oldand are no better for it, so farmore data-efficient algorithms mustbe possible. Last stated a month ago 30 Jul 2026 JD Jeff Dean — holds since 2026-07-30 — tap for who they are Same subject: AI is already inside the recursive self-improvement loop — what the labs have shipped in recent weeks shows the cycle has started. — tap to centre the map on it AI is already inside the recursiveself-improvement loop — what thelabs have shipped in recent weeksshows the cycle has started. Last stated a month ago 3 Aug 2026 CP Chamath Palihapitiya — holds since 2026-08-03 — tap for who they are Same subject: AI research will be fully automated around 2030 or 2031, and AI will beat humans at essentially any job by about 2033. — tap to centre the map on it AI research will be fully automatedaround 2030 or 2031, and AI willbeat humans at essentially any jobby about 2033. Last stated 4 weeks ago 11 Aug 2026 RG Ryan Greenblatt — holds since 2026-08-11 — tap for who they are Same subject: AI takeover is not the thing to worry about: physical constraints bound recursive self-improvement, and humans reliably act once a risk becomes immediate. — tap to centre the map on it AI takeover is not the thing toworry about: physical constraintsbound recursive self-improvement,and humans reliably act once a riskbecomes immediate. Last stated 2 years ago 3 Feb 2025 NL Nathan Lambert — holds since 2025-02-03 — tap for who they are Same subject: A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number. — tap to centre the map on it A benchmark result should bereported under a stated budget, oras a curve against test-time compute— never as a single number. Last stated 2 months ago 26 Jun 2026 NB Noam Brown — holds since 2026-06-26 — tap for who they are Same subject: A lab should spend most of its compute on research rather than on building the next model, because research is where the tenfold yearly efficiency gains come from. — tap to centre the map on it A lab should spend most of itscompute on research rather than onbuilding the next model, becauseresearch is where the tenfold yearlyefficiency gains come from. Last stated 6 months ago 13 Mar 2026 DP Dylan Patel — holds since 2026-03-13 — tap for who they are Same subject: A model's capability is now a function of how much money you spend on it, so asking what a model can do means nothing until you name a budget. — tap to centre the map on it A model's capability is now afunction of how much money you spendon it, so asking what a model can domeans nothing until you name abudget. Last stated 2 months ago 26 Jun 2026 NB Noam Brown — holds since 2026-06-26 — tap for who they are
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At the centre Current AI evaluation of world models is too narrow, favoring static representations learned from massive datasets over efficient learning through interaction Last stated 17 Jul 2025 · a year ago Holds François Chollet Read this korrent →