Former OpenAI Vice President of Training Liam Fedus responded to a joint statement from Terence Tao and 25 Fields Medal winners that warned AI could threaten the development of mathematics. Fedus argued that AI should not be confined to solving problems alone. In his view, it could develop into a research partner for mathematicians, one capable of offering insights, building conceptual frameworks, and helping advance human understanding. The two sides share a basic premise: mathematics is about understanding, not just getting answers. Their disagreement lies elsewhere. The debate centers on whether current uses of AI are already harming the transmission of mathematical knowledge, and whether AI can genuinely take part in creating new knowledge rather than only reproducing existing patterns. The exchange reflects a broader dispute over how AI should be positioned in advanced research and whether its role in mathematics will remain instrumental or become more substantive over time.
Former OpenAI Vice President of Training Liam Fedus responded to a joint statement from Terence Tao and 25 Fields Medal winners that warned AI could threaten the development of mathematics, saying that claims AI is ruining math may still underestimate what the technology could become.
Fedus said AI should not be limited to solving problems. He argued that it could evolve into a mathematical research partner able to generate insights, build conceptual frameworks, and deepen human understanding.
Both sides agree on one point: mathematics is centered on understanding rather than answers alone. The split is over whether current AI use is damaging the transmission of knowledge, and whether AI can genuinely participate in the creation of knowledge.
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