Treat AI math proofs like data: why hard-to-read proofs mean more work for humans
inductionheads · x · 2026-10-08
The author pushes back on complaints about hard-to-understand AI-generated proofs: if proofs are that hard, that just means more work for human mathematicians.
His proposal: mathematicians should think more like an empirical science, treating proofs as data and observations rather than endpoints to be fully digested.
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