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AI scaling laws require exponentially more compute and resources to produce only linear gains in model intelligence.

Drawn from what Nathan Lambert said

What this subject means

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

What Nathan Lambert actually said

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  1. Nathan Lambert

    Machine-learning researcher on open language models

    all of our scaling laws show that you need exponential compute and resources to make linear improvements in intelligence.

Added to korrents 19 Sept 2026 · How quotes work · Something wrong? Tell us

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