On August 28, we began training a new internal model. In addition to resolving the Navier–Stokes Millennium Prize problem⁠, this model has now resolved more than 100 long-standing open problems across most areas of mathematics. The pace of its progress⁠ in mathematics has surprised the mathematicians within OpenAI. This has led to internal discussions on the best way to inform the community of the rapid progress to prepare and adapt the field.

Mathematics is a fundamental science, and novel discoveries may result in a wide range of applications. That makes the promise of these capabilities substantial, and their responsible development and deployment important beyond mathematics itself. We recognize this and are working through how broader deployment of math-related AI capabilities can be done responsibly.

In a recent open letter “A Severe Misalignment of AI in Mathematics⁠(opens in a new window),” mathematicians raise concerns about the negative externalities of solving open problems as a benchmark for new AI systems.

Their criticisms highlight the need for thoughtful engagement of AI companies with the math community. To that end, we’re working with mathematicians who have established an independent mathematics advisory group. This group will serve as a bridge to the mathematical community and broader public, giving mathematicians a voice in how we move forward.

The group will advise on the review and communication of emerging results: they will help OpenAI assess their significance, advise on how to coordinate their dissemination, and advise on academic and professional standards of mathematical research.

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