On August 28, OpenAI began training a new internal model that, in addition to solving the Navier–Stokes Millennium Prize Problem, also incidentally cracked more than a hundred long-standing unsolved problems in mathematics.
The Millennium Prize Problems comprise seven problems in total. To date, the only one that has been confirmed solved is the Poincaré conjecture, a topology problem; those interested can ask an AI.
The Navier–Stokes problem that OpenAI currently claims to have solved is a fluid dynamics problem. It remains a unilateral claim of a solution, and it still needs to be verified before it can truly be judged as solved.
My long-held view has been that the maturation of AI technology will become the key for humanity to move to the next stage. This is because humanity’s current knowledge system has already become too complex, and relying solely on collaboration between people cannot continue to drive the progress of human science and technology; the emergence of AI perfectly solves this problem.
And mathematics and bioengineering—these are areas where AI, after drawing on large amounts of humanity’s existing knowledge base, can play its role the fastest.
