Two weeks ago, OpenAI announced it had solved a major math problem, the Navier-Stokes problem, which could earn a $1-million prize. However, controversy arose over whether they addressed the correct version of the problem. OpenAI’s solution, generated by an AI model, tackled a variant that many experts consider less relevant to real-world applications. Mathematicians argue that the main issue remains unsolved, as OpenAI’s method cannot be extended to the full problem. The Navier-Stokes equations describe fluid flow, and the challenge is to determine if they can predict infinite speeds, which is unrealistic. The debate centers on whether external forces, like gravity, should be included in the equations. While some mathematicians focus on scenarios without these forces, others have explored using them to trigger a blowup. OpenAI’s solution involved such an external force, sparking further debate.
QUESTION: How might the use of AI in solving complex problems change the way we approach scientific and mathematical challenges in the future?
Did OpenAI solve the wrong Navier-Stokes problem?
