AI-assisted proofs won't kill good math abstractions, mathematician argues
avt_im · x · 2026-09-05
Responding to debate over AI-assisted mathematical proofs, the author argues abstractions only matter if they yield concrete results, which AI makes easier to verify. They reject claims that sloppy true results are useless or that AI proofs will discourage good abstractions, citing Yitang Zhang's PhD years lost to poor advising as evidence that institutional incentives, not AI, are the real risk. A related note adds that many mathematicians prioritize prestige over truth.
Related event: After AI Cracks Conjectures, Mathematicians Fight Over Prestige vs Truth(8 posts)→
More from AGI Musings
- Grady Booch revives Weinberg's 1971 quip: software so buggy one woodpecker could destroy civilization — Grady_Booch · 2026-10-23
- Why Netflix keeps losing to YouTube: UGC platforms professionalize easier than pro platforms go casual — ZeroStateReflex · 2026-10-23
- AI killed the coding moat: indie devs now compete on demand and distribution — sven_ai · 2026-10-23
- DynaVelo, a neural ODE model of single-cell dynamics, published in Nature Biotechnology — anshulkundaje · 2026-10-23
- Beff Jezos: Only frontier labs out-accelerating open source can secure systems — beffjezos · 2026-10-23
- 'I don't want to live in that world': a Redditor on why AGI utopia feels meaningless — peace_venerable · 2026-10-23