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← Games are particularly rich and controlled environments uniquely…

14 connected korrents · 10 moments on record from 5 Nov 2019 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 ARC-AGI ARC-AGI Everything filed under mathematics mathematics Same subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subjectSame subject Read this korrent: Games are particularly rich and controlled environments uniquely well-suited for evaluating rapid world model induction in AI Games are particularly rich and controlledenvironments uniquely well-suited forevaluating rapid world model induction inAI 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: Current AI evaluation of world models is too narrow, favoring static representations learned from massive datasets over efficient learning through interaction — tap to centre the map on it Current AI evaluation of worldmodels is too narrow, favoringstatic representations learned frommassive datasets over efficientlearning through interaction 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: The Abstraction and Reasoning Corpus can measure human-like general fluid intelligence and enable fair comparisons between AI systems and humans. — tap to centre the map on it The Abstraction and Reasoning Corpuscan measure human-like general fluidintelligence and enable faircomparisons between AI systems andhumans. Last stated 7 years ago 5 Nov 2019 FC François Chollet — holds since 2019-11-05 — tap for who they are Same subject: The next advance in AI for mathematics requires shifting from predefined problem-solvers to research agents that address frontier challenges with formal reasoning. — tap to centre the map on it The next advance in AI formathematics requires shifting frompredefined problem-solvers toresearch agents that addressfrontier challenges with formalreasoning. Last stated 2 months ago 8 Jul 2026 TT Terence Tao — holds since 2026-07-08 — 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 Games are particularly rich and controlled environments uniquely well-suited for evaluating rapid world model induction in AI Last stated 17 Jul 2025 · a year ago Holds François Chollet Read this korrent →