OpenAI Blog

An OpenAI model has disproved a central conjecture in discrete geometry

Read the original on OpenAI Blog →

An OpenAI model solved the 80-year-old unit distance problem, disproving a major conjecture in discrete geometry and marking a milestone in AI-driven mathematics.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at OpenAI Blog.

arXiv Computation and Language
Sep 23

FrontierMath Erd\H{o}s

arXiv:2609. 25050v1 Announce Type: new Abstract: We introduce FrontierMath Erd\H{o}s (FME), a benchmark of 68 Erd\H{o}s problems that are open as of August 2026.

By Tom Adamczewski (Epoch AI), Thomas F. Bloom (University of Manchester)
OpenAI Blog
Sep 21

Advisory Group on Mathematics and Artificial Intelligence

OpenAI is collaborating with an independent Advisory Group on Mathematics and Artificial Intelligence. The group’s role is to guide the review and communication of emerging AI results. This partnership aims to ensure rigorous oversight and clear dissemination of new developments in AI.

arXiv Machine Learning
Sep 3

Towards Solving the Gilbert-Pollak Conjecture via Large Language Models

The paper announces a new lower bound of 0.8559 for the Steiner ratio, improving on the previous 0.824 bound for the Gilbert‑Pollak Conjecture. It introduces an AI system that uses large language models to generate rule‑constrained geometric lemmas, which are then turned into executable verification functions that certify the bound. The approach relies on only thousands of LLM calls, highlighting the feasibility of LLM‑based methods for advanced mathematical research.

By Yisi Ke, Tianyu Huang, Yankai Shu, Di He, Jingchu Gai, Liwei Wang
OpenAI Blog
Dec 11, 2025

Ten years

OpenAI reflects on ten years of progress, from early research breakthroughs to widely used AI systems that reshaped what’s possible. We share lessons from the past decade and why we remain optimistic about building AGI that benefits all of humanity.