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Whether a scientific idea was progress depends on a future and a culture that have not happened yet, so grading it may never be something you can reinforcement-learn.

Drawn from what Terence Tao said

What these subjects mean

reinforcement learning Training by reward: environments, verifiable tasks, value functions, and whether it works or merely beats what came before.

metascience Research about research: whether published findings hold up, and what makes a field more or less reliable.

What Terence Tao actually said

  1. Terence Tao
    So, you you can't look at any given scientific achievement purely in isolation and give it an objective grade without being aware of the context both in the the past and the future. And so it it it may never be something that you can just reinforcement learn the same way that that you can for much sort of more localized problems.

    Watch from 0:17:09 plays here

    ↗Terence Tao – How the world’s top mathematician uses AIyoutube.com

    20 Mar 2026 · video · 1h 23m · spoken · machine transcript

    All 24 korrents from this recordingthis one is 3rd

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