OpenAI released a broad set of new mathematical results, including lean ( a programming language) formalizations of proofs and reasoning details, claiming they were generated by a new internal frontier AI model, and published them on GitHub.
In a post on X on Wednesday, OpenAI announced that they are also publishing the underlying materials on GitHub repository including papers, citation and revision protocols and formalized versions of many of the proofs. OpenAI said that these formal proofs are written in Lean, a programming language that allows mathematical arguments to be checked computationally.
The company claims it marks a significant step in their efforts to demonstrate AI’s advancing abilities in mathematical research which includes solving previously unsolved questions including the famous Navier–Stokes existence and smoothness problem.
We’re releasing a broad range of new mathematical results produced by an internal frontier model.
We’ve been consulting with the independent Advisory Group on Mathematics and Artificial Intelligence at the Institute for Advanced Study, and we have drawn on their advice and public recommendations to inform how we release these results.
https://t.co/7N6TPlft1P
— OpenAI (@OpenAI) October 6, 2026
“To promote scientific transparency and openness, we are also publishing additional details about how we obtained the results in the repository. These include 10 summaries of the model’s reasoning, estimations of compute spent in terms of Pro usage on ChatGPT, and statistics about the number of attempted problems. The average result used the equivalent compute of roughly three hours of ChatGPT Pro thinking,” claimed OpenAI in a statement.
The release follows a period of rapid progress in OpenAI’s mathematical research. In a separate update, the company said an internal model had resolved more than 100 long-standing open mathematical problems, including the Navier–Stokes Millennium Prize problem.
OpenAI said it is also trying to address concerns about how Frontier AI generated mathematical research discoveries should be evaluated and disseminated by consulting an independent Advisory Group on Mathematics and Artificial Intelligence at the Institute for Advanced Study on standards for reviewing and communicating such results.
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