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

17 connected korrents · 12 moments from 17 Jul 2025 to 22 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 reinforcement learning reinforcement learning Everything filed under LLMs LLMs Same subjectSame subjectSame subjectSame 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 3 months 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 companies that already control the largest troves of real-world video data will be first to build successful world models. — tap to centre the map on it The companies that already controlthe largest troves of real-worldvideo data will be first to buildsuccessful world models. Last stated 3 months ago 10 Aug 2026 KK Kevin Kelly — holds since 2026-08-10 — 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 2 months ago 4 Sept 2026 FL Fei-Fei Li — holds since 2026-09-04 — tap for who they are Same subject: The current capabilities of existing AI models are barely being used and are often not even well understood. — tap to centre the map on it The current capabilities of existingAI models are barely being used andare often not even well understood. Last stated a month ago 18 Sept 2026 EM Ethan Mollick — holds since 2026-09-18 — tap for who they are Same subject: A ban on self-recursive improvement in AI models would create a big incentive for some other parts of the world to invest a lot more in compute. — tap to centre the map on it A ban on self-recursive improvementin AI models would create a bigincentive for some other parts ofthe world to invest a lot more incompute. Last stated a month ago 22 Sept 2026 TC Tyler Cowen — holds since 2026-09-22 — 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 3 months 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 2 months ago 11 Aug 2026 RG Ryan Greenblatt — holds since 2026-08-11 — tap for who they are Same subject: A feedback loop that reinforces a behavior pulls it toward whatever improves the loop's own score. — tap to centre the map on it A feedback loop that reinforces abehavior pulls it toward whateverimproves the loop's own score. Last stated 2 months ago 26 Aug 2026 HK Henrik Karlsson — holds since 2026-08-26 — tap for who they are Same subject: A physical AI company needs three AIs, not one — the agent, the simulator and the critic — turning deployment into a flywheel. — tap to centre the map on it A physical AI company needs threeAIs, not one — the agent, thesimulator and the critic — turningdeployment into a flywheel. Last stated 3 months ago 3 Aug 2026 DD Dmitri Dolgov — holds since 2026-08-03 — tap for who they are Same subject: A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well. — tap to centre the map on it A verifiable task can be optimisedby reinforcement learning until aneural network performs it extremelywell. Last stated 11 months ago 17 Nov 2025 AK Andrej Karpathy — holds since 2025-11-17 — tap for who they are Same subject: "Scaling" was powerful because it was one word: naming a research direction is what tells a whole field what to do next. — tap to centre the map on it "Scaling" was powerful because itwas one word: naming a researchdirection is what tells a wholefield what to do next. Last stated 11 months ago 25 Nov 2025 IS Ilya Sutskever — holds since 2025-11-25 — 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 4 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 7 months ago 13 Mar 2026 DP Dylan Patel — holds since 2026-03-13 — 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 →