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On September 11, local time, 25 Fields Medal winners, including Tao Zhexuan and Deng Yu, issued a joint statement warning that the rapid use of artificial intelligence to solve mathematical problems could “seriously misplace” AI development goals and mathematical research goals. The statement said that the ability of large-scale language models to solve major mathematical problems has greatly improved in recent years, but AI companies use mathematical problems as competency benchmarks, which may damage mathematical research and the mathematics community. The statement stated that the core goal of mathematical research is to form conceptual understanding and new insights, rather than simply providing “right or wrong” answers. AI quickly generates mathematical results in batches, which may reduce the time for verifying results, summarizing methods, academic exchanges, and citing the results of previous people, and cause serious problems of signatures and plagiarism. At the same time, the statement believes that AI also has the potential to improve the efficiency of mathematical research, and the ultimate impact will depend on how those who master this technology make decisions.

Zhitongcaijing·09/12/2026 03:09:00
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On September 11, local time, 25 Fields Medal winners, including Tao Zhexuan and Deng Yu, issued a joint statement warning that the rapid use of artificial intelligence to solve mathematical problems could “seriously misplace” AI development goals and mathematical research goals. The statement said that the ability of large-scale language models to solve major mathematical problems has greatly improved in recent years, but AI companies use mathematical problems as competency benchmarks, which may damage mathematical research and the mathematics community. The statement stated that the core goal of mathematical research is to form conceptual understanding and new insights, rather than simply providing “right or wrong” answers. AI quickly generates mathematical results in batches, which may reduce the time for verifying results, summarizing methods, academic exchanges, and citing the results of previous people, and cause serious problems of signatures and plagiarism. At the same time, the statement believes that AI also has the potential to improve the efficiency of mathematical research, and the ultimate impact will depend on how those who master this technology make decisions.