OpenAI Says 10,000 AI Agents Cracked 90-Year Math Problem in 88 Hours
OpenAI announced it derived a solution to the Navier-Stokes equations, a mathematical problem unsolved for over 90 years, using an unreleased AI model. Approximately 10,000 AI agents worked for 88 hours, exchanging 2.7 million messages and using 130 billion output tokens to achieve this. The solution suggests a singularity can form in finite time for three-dimensional fluids. This marks a potential first for AI in solving one of the Clay Mathematics Institute's Millennium Prize Problems, which carries a $1 million award. The development follows recent advances by other frontier AI models, including Anthropic's work on the Riemann hypothesis.
OpenAI's claim of solving the Navier-Stokes equations in 88 hours with 10,000 AI agents points to a new era for AI as an independent "explorer" in scientific discovery. This shifts AI's role from a research assistant to a solver of long-standing human puzzles, a development that could significantly impact research institutions and technology companies across Asia. The ability of AI to tackle such complex mathematical problems suggests accelerated progress in fields like aerospace engineering and weather forecasting, where these equations are critical. However, this breakthrough also raises concerns about the future of human-led research and the potential for reduced opportunities for young mathematicians in Asia to develop critical thinking skills. The reported use of an undisclosed model, more capable than GPT-6 Astra, also highlights the rapid, often opaque, advancement of frontier AI, which could create a widening gap between leading developers and other research entities in the region. The dispute over leaked data from competing research also bears watching.
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OpenAI Says AI Has Solved 90-Year-Old Navier-Stokes Math Problem
Our earlier report on OpenAI's claim of solving the Navier-Stokes problem provides further context.

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