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Current AI evaluation of world models is too narrow, favoring static representations learned from massive datasets over efficient learning through interaction

Drawn from what François Chollet said

What this subject means

world models Internal representations of an environment that an agent builds and revises, and whether machines can build them fast.

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What François Chollet actually said

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  1. François Chollet
    However, current understanding and evaluation of world models in artificial intelligence (AI) remains narrow, often focusing on static representations learned from training on massive corpora of data, instead of the efficiency and efficacy in learning these representations through interaction and exploration within a novel environment.

Added to korrents 17 Jul 2025 · How quotes work · Something wrong? Tell us

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