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A benchmark result should be reported under a stated budget, or as a curve against test-time compute — never as a single number.

Drawn from what Noam Brown 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 Noam Brown actually said

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  1. Noam Brown

    Research scientist at OpenAI

    my claim is the proper way to evaluate the models now is you either have some kind of budget for the benchmark whether it's tokens or cost or time or whatever or you plot the performance as a function of the amount of test time compute that's going into the model

Added to korrents 26 Jun 2026 · How quotes work · Something wrong? Tell us

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