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陶哲轩邓煜究竟在反对什么:AI暴力解题摧毁人类数学精神

量子位 AI for Mathematics 衡宇 2026-09-12
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TL;DR - Twenty-five Fields Medalists, including Terence Tao and Yu Deng, warn that AI companies’ benchmark-driven pursuit of solving major mathematical problems is misaligned with mathematics’ goals of conceptual understanding, method development, and knowledge transmission. They seek urgent governance and research norms rather than a halt to AI-assisted mathematics.

  • AI may now solve open problems faster than mathematicians can verify, explain, connect, and incorporate the results into established knowledge.
  • The statement raises concerns about premature announcements, inadequate attribution, possible use of researchers’ prompts or unpublished ideas, and unclear authorship.
  • Large-scale agentic search could exhaust valuable open problems without generating equally meaningful new questions or reusable insights.
  • The signatories warn that answer-first systems may weaken mathematical training, open collaboration, and the human process that turns proofs into teachable knowledge.

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