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Quoting Terence Tao

· Source: Simon Willison

Terence Tao, one of today’s most influential mathematicians, has warned about an emerging phenomenon in mathematical research driven by artificial intelligence. According to him, the community has begun to mine the most promising open problems with intense focus, treating them as a finite resource that could run out. The speed with which AI models can tackle a statement—once even a rumor that someone is studying it spreads—creates a flood of automated efforts that try to “flatten” the problem before the original researcher can develop a complete solution. This environment incentivizes scientists to withhold information about promising research directions, contradicting centuries of open‑science practice. Tao suggests that if this trend consolidates, it could erode collaboration and the exchange of ideas, with long‑term negative consequences for the advancement of mathematical knowledge.

This warning is significant because the way the academic community handles the disclosure and protection of emerging ideas will determine whether AI becomes a tool that fuels innovation or an agent that accelerates the saturation of the most fertile problems, thereby shaping the future of scientific research.

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