This was part of Foundations of Multi-Agent and Mean Field Reinforcement Learning

Public Lecture: Recent Advances in LLMs for Mathematics

Sébastien Bubeck, OpenAI

Tuesday, May 19, 2026



Abstract: I will review the progress of large language models for mathematics over the last 3 years, from barely solving high school level mathematics to solving some minor open problems in convex optimization, combinatorics and probability theory. The emphasis will be on trying to identify the shape of the current frontier capabilities, as it stands today, finding out both where it's helpful and where it's still falling short as a research assistant.