On August 28, OpenAI began training a new internal model that, according to the announcement, has resolved the Navier–Stokes Millennium Prize problem and more than 100 long-standing open problems across most areas of mathematics. The pace of progress surprised mathematicians inside OpenAI, and the company says this has led to internal discussions about how best to inform the mathematical community and help it adapt. OpenAI notes that mathematics is a fundamental science, that discoveries could have broad applications, and that responsible development and deployment matter beyond mathematics itself. It also references an open letter, ‘A Severe Misalignment of AI in Mathematics,’ which raises concerns about the negative externalities of using open problems as benchmarks for new AI systems, and says those criticisms highlight the need for thoughtful engagement with the math community.

To address this, OpenAI is working with mathematicians to establish an independent mathematics advisory group. The group will act as a bridge to the mathematical community and the broader public, giving mathematicians a voice in how OpenAI moves forward. Its roles include advising on the review and communication of emerging results, helping assess their significance, advising on how to coordinate their dissemination, and advising on academic and professional standards of mathematical research. The group will also advise on how OpenAI‘s tools can support mathematical research and learning, with the goal of putting capable tools in mathematicians’ hands.

OpenAI says the group will operate independently. It may offer advice OpenAI has not requested, comment on OpenAI‘s impact on mathematics, and make its advice public. Members will not be paid by OpenAI, and the group can change its membership as it sees fit. Importantly, the group will not be responsible for advising on how OpenAI paces its internal progress on mathematics. The initial members are François Charles (ENS-PSL), Camillo De Lellis (IAS), Timothy Gowers (Collège de France, Cambridge), Martin Hairer (EPFL, Imperial College London), Nikhil Srivastava (Berkeley), Ulrike Tillmann (Oxford), Ravi Vakil (Stanford), Edward Witten (IAS), and Melanie Matchett Wood (Harvard). OpenAI frames the group as a first step, acknowledging that difficult questions remain about how AI can support mathematical understanding and how the benefits can reach the wider community.