OpenAI model solves over 100 open math problems

OpenAI says it began training a new internal model on August 28, and that this model has since resolved the Navier–Stokes Millennium Prize problem along with more than 100 long-standing open problems across most areas of mathematics. The company says the pace of progress surprised its own mathematicians, which led to internal discussions about how best to inform the community and prepare the field.

The announcement comes after a recent open letter, "A Severe Misalignment of AI in Mathematics," in which mathematicians raised concerns about the negative externalities of using the solving of open problems as a benchmark for new AI systems. OpenAI frames the new independent advisory group as a response to the need for engagement with the math community, describing it as a bridge that gives mathematicians a voice. The group will advise on assessing the significance of emerging results, coordinating their dissemination, and academic and professional standards of mathematical research, as well as on how OpenAI's tools can support mathematical research and learning.

The group's independence is a stated feature: it can offer advice OpenAI did not request, comment on OpenAI's impact on mathematics, and make its advice public, and its members will not be paid by OpenAI. OpenAI also says the group will not advise on how to pace the company's internal progress on mathematics, which suggests the question of how quickly such capabilities advance remains with OpenAI itself. How much the group's public commentary shapes the field's response may depend on whether its advice diverges from OpenAI's own plans.