Terence Tao and ChatGPT Complete Lean Formalization of Sendov's Conjecture
tak3sh8 · x · 2026-08-13
Renowned mathematician Terence Tao shared his process of using ChatGPT to help digest the proof of Sendov's Conjecture. Building on this, developer Lech Mazur successfully completed the full Lean formalization of the proof.
This highlights the practical value of LLMs in advanced academic research. As noted in the discussion, while AI shows strong capabilities in generating and assisting with proof validation, top-tier mathematicians are still essential to digest, interpret, and oversee the overall process.
Related event: Terence Tao Uses AI to Help Prove the Sendov Conjecture(3 posts)→
More from Research
- Quiz: Double the Residual Stream from 4096 to 8192 — How Does Param Count Change? — Sauers_ · 2026-10-16
- Researcher credits GPT for multiple accepted papers, incl. disproving Wegner's 1965 conjecture — ctjlewis · 2026-10-16
- AutoAgent0: VLM-powered agentic runtime lifts long-tail driving success by 28.3pp — yining_hong · 2026-10-16
- Shuffled labels hit AUC 0.59: selection bias, not signal, drives prosody benchmarks — maier_ak · 2026-10-16
- CODESTRUCT reframes codebases as AST action spaces to fix brittle LLM code agents — burkov · 2026-10-16
- Score drift in RL fine-tuning is distillation toward a moving teacher, explains researcher — nrehiew_ · 2026-10-16