Harvard Mathematicians Split Over Whether Un-understandable AI Proofs Count

rohanpaul_ai · x · 2026-10-22

After OpenAI's Navier-Stokes claim, Harvard mathematicians are split: does a proof nobody can understand still count as a proof?

The core argument: a proof does two things—it shows a statement is true, and it teaches other mathematicians a reusable method. AI-generated proofs often deliver only the first. Mathematicians value proofs for certainty and technique; an un-understandable AI proof provides certainty but no transferable methodology. The debate exposes a fundamental tension in AI for mathematics: the gap between verified correctness and human understanding.

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