OpenAI says an internal model "significantly more capable than GPT-6 Astra" solved the Navier-Stokes problem using 10K concurrent agents working for 88 hours (Madison Mills/Axios)

OpenAI says an internal model “significantly more capable than GPT-6 Astra” solved the Navier-Stokes Millennium Prize problem by deploying 10,000 concurrent agents that ran for 88 hours. Mathematician Tristan Buckmaster alleges the model leveraged insights from his and Anthropic researcher Levent Alpöge’s work, drawing a parallel to Deep Blue’s historic chess victory.