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.

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• An adaptive agent's world model cannot be a static representation learned once and fixed FCFrançois Chollet17 Jul 2025world models
• 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. FCFrançois Chollet10 Aug 2026world models
• Current AI evaluation of world models is too narrow, favoring static representations learned from massive datasets over efficient learning through interaction FCFrançois Chollet17 Jul 2025world models
• Games are particularly rich and controlled environments uniquely well-suited for evaluating rapid world model induction in AI FCFrançois Chollet17 Jul 2025world models
• Human adaptability is fundamentally linked to the efficient construction and refinement of internal world models FCFrançois Chollet17 Jul 2025world models

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