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Bet on a system that is maximally learned and minimally constrained, and add structure only where it improves the scaling laws.

Drawn from what Dmitri Dolgov 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 Dmitri Dolgov actually said

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  1. Dmitri Dolgov

    Co-CEO of Waymo and a founding member of Google's self-driving car project

    So, the lesson here is to bet on a system that's maximally learned and minimally constrained and leverage structure intentionally to boost performance and scaling laws both in training and in evaluation.

Added to korrents 3 Aug 2026 · How quotes work · Something wrong? Tell us

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