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Tanishq Mathew Abraham, Ph.D.
@iScienceLuvr
CEO @SophontAI | Founder @MedARC_AI | PhD at 19 (2023) | ex Research Director Stability AI | Biomed. engineer @ 14 | TEDx talk➡
参加 December 2011
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Many mathematicians are complaining that AI proofs are incomprehensible and therefore does not further our understanding of mathematics. To me this seems like a relatively tractable problem for the AI labs to solve, no? Like couldn't you have some sort of reward model/judge that measures how easy to understand a proof is to understand and use that to post-train or guide the models? Perhaps I am oversimplifying this... if so, please explain why this would be hard?
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