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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.

Drawn from what Fei-Fei Li said

scaling laws Whether more compute keeps buying more capability, and where the curve now bends -- pre-training, post-training, test-time.

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What Fei-Fei Li actually said

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  1. Fei-Fei Li

    Sequoia Professor of Computer Science at Stanford

    I think three of us have total conviction about the scaling law. That that I think we do. I do think the exact architecture choices and data mixtures is where the the devils are in the details.

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