Frontier Models Are Now Superhuman at Math, Researcher Says
mmitchell_ai · x · 2026-07-21
AI researcher Margaret Mitchell points out that current frontier models are now obviously superhuman at certain mathematical tasks, including those historically rewarded with prestige in the profession.
She suggests a method to quantify what "superhuman" means: organizing workshop-style gatherings of mathematicians to collaborate on difficult problems, such as the Jacobian conjecture, over several weeks. By measuring the number of mathematicians and hours (K) it takes humans to solve a problem compared to the time an AI model (like Fable) takes, we could establish a concrete baseline for superhuman performance.
Related event: Frontier Models Show Superhuman Math Skills, Reshaping Research Paradigms(6 posts)→
More from AGI Musings
- Adam Marblestone's Podcast Reading List: Evolution of Intelligence to Digital Minds — KordingLab · 2026-09-11
- Superintelligence will be maximum good, not stupid or evil, argues Patterson — davidpattersonx · 2026-09-11
- Mathematician Daniel Litt Launches Problem Repo to Track Human vs AI Progress: 15 Problems, 1 Solved — littmath · 2026-09-11
- Should AI models be taught morality? Breakout incidents expose missing ethical training — Pfungus_ · 2026-09-11
- SoftBank's Masayoshi Son predicts 100 trillion self-replicating AIs: "humans' era as top life form is ending" — Puzzleheaded-King584 · 2026-09-11
- We are witnessing the unreasonable effectiveness of inference-time scaling — sqcai · 2026-09-11