On September 8, 2026, Open IA, an artificial intelligence company, announced that it had solved one of the seven "Millennium Problems" set by the Clay Mathematics Institute. These problems are among the most difficult in mathematics, with each carrying a prize of one million dollars for a correct solution. The particular problem in question involves the Navier-Stokes equation, a fundamental mathematical tool used to describe fluid dynamics. This includes applications such as blood flow in the human body, weather patterns, and the movement of air around airplane wings. The specific question revolves around whether the solutions to the Navier-Stokes equation remain smooth and predictable at all times or if they can develop a singularity—a point where the equations break down and become undefined, often described as an "explosion" in mathematical terms. Open IA's solution, according to its report, shows that such an explosive solution is indeed possible. This result was achieved using the latest version of Open IA's AI model, which was trained with significant computational resources, including tens of millions of dollars in investment, 10,000 AI agents working over 88 hours, and 17 hours of verification, resulting in over 2.7 million messages exchanged during the process. This breakthrough, however, still requires formal verification by the mathematical community before it can be considered a confirmed solution. The announcement comes after a series of high-profile mathematical problem-solving efforts by Open IA and its main competitor, Anthropic, throughout the summer of 2026. These developments have transformed the field of mathematics into a competitive arena, where AI models are tested and compared based on their ability to solve complex problems. The competition between these companies has sparked interest and debate within the mathematical community. While some view this as a promising step forward in the application of AI to mathematical research, others caution that the verification process is crucial to ensure the validity of such solutions. As the field continues to evolve, the role of artificial intelligence in advancing mathematical knowledge remains a topic of both excitement and scrutiny.