OpenAI model may have completed half of the proof for the Millennium Prize Problems’ Yang-Mills problem, which carries a $1 million reward.
19 minutes ago
According to a post by MTS, OpenAI’s artificial intelligence model has proven half of one of the million-dollar Millennium Prize Problems in physics, with support from a review panel led by a Nobel Prize laureate. MTS identifies the problem as the Yang-Mills problem. OpenAI first unveiled the proof on October 26, noting its model completed the work in September. Per MTS, the review panel is chaired by Nobel Prize winner David Gross, and includes Arthur Jaffe, who co-authored the official description of the Millennium Prize Problem. The proof has also been formalized in Lean, a computer language enabling line-by-line verification. The Yang-Mills problem is one of the seven Millennium Prize Problems established in 2000, each carrying a $1 million reward; to date, the only solved problem was completed by Grigori Perelman, who declined to accept the prize. MTS points out that to win the award, a mass gap proof is still required, alongside compliance with the Clay Mathematics Institute’s rules on publication and a two-year validation period. X user Theo Jaffee noted that physicists have been able to work with quantum field theory and quantum Yang-Mills theory empirically, but have long lacked a mathematical formalization explaining why these theories are valid.
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