Executive Summary
OpenAI has shared the results of an internal AI model's attempt to solve the "First Proof" math challenge, a series of research-level problems requiring verifiable, end-to-end proofs. Based on initial expert feedback, the model's proof attempts for at least five of the ten problems have a high chance of being correct. This initiative is part of OpenAI's effort to stress-test and showcase the advanced reasoning capabilities of its next-generation models on complex tasks that go beyond standard benchmarks.
Key Takeaways
* Initiative: An internal OpenAI model was used to generate solutions for all 10 problems in the "First Proof" math challenge.
* Primary Function: The challenge tests an AI's ability to produce correct, checkable, and long-form arguments for specialized mathematical problems, some of which were previously unsolved for years.
* Results: At least five of the ten AI-generated proofs (for problems 4, 5, 6, 9, and 10) are believed to have a high probability of being correct after initial expert review. One attempt (problem 2) was confirmed to be incorrect.
* Process: The process involved limited human supervision, such as suggesting retries, asking for clarification based on expert feedback, and using ChatGPT for formatting and verification.
* Availability: The full set of proof attempts was published in a preprint on February 14, 2026. The capabilities demonstrated by this internal model are planned for future public models.
* Stated Goal: To evaluate AI capabilities on "frontier challenges" that require sustained reasoning and can withstand expert scrutiny, which the company believes is a more meaningful measure of progress than standard benchmarks.
Strategic Importance
This announcement showcases OpenAI's progress in moving its models beyond general knowledge tasks toward expert-level, rigorous reasoning, positioning them as potential tools to accelerate fundamental scientific and mathematical research.