OpenAI used private Codex sessions data to produce its Navier-Stokes proof

Control over personal information in relationships and online services, including what partners and platforms may collect, share or expose.

The datasets used to teach machine learning systems patterns, language, and behavior.

Accelerating scientific discovery using machine learning and AI methods.

Writing, reviewing, refactoring, and shipping code.

Algorithms and methods that allow systems to learn from data. Forms the foundation of most AI applications.

Tools for building and managing AI systems. Supports development, testing, and deployment.

The September 2026 controversy over whether AI systems solved the Navier-Stokes Millennium Prize Problem, including a dispute over credit between OpenAI and mathematicians Tristan Buckmaster and Levent Alpoge.