一位英国剑桥大学教授拒绝签署由25位菲尔兹奖得主联署的公开信，该信对AI在数学问题求解中的快速进展表示担忧。1这位数学家同意AI的快速发展值得关注，但认为公开信对问题的分析不够全面，反映了对这一问题的不同理解。1
该公开信表示担心"大量快速生产的正确/错误陈述可能破坏而非激发新创意"。1然而，这位教授的核心忧虑指向不同方向——他不是担心AI生成过多结果本身，而是社会结构是否能够吸收和应对这种变化，特别是如何维持年轻数学家的动力和保护数学传统。1这位教授在剑桥大学领导一个自动定理证明研究小组。1他预计大型语言模型将在几个月内能够解决主要的数学问题。1
关于与AI企业的关系，这位数学家表示与OpenAI有联系，曾获得免费的Pro模型访问权限，但从未获得过任何报酬。1
A distinguished mathematician at the University of Cambridge has chosen not to sign an open letter co-authored by 25 Fields Medal recipients addressing concerns about artificial intelligence in mathematics 1. While acknowledging the rapid progress of AI in solving mathematical problems as noteworthy, the mathematician argues that the letter's analysis of the issue lacks sufficient depth and does not align with his more nuanced perspective on the matter 1.
His primary concern centers not on the volume of AI-generated results, but rather on whether society's institutional structures can adequately absorb and integrate the vast quantity of new mathematical proofs that AI systems will produce 1. He further worries about maintaining motivation and engagement among the next generation of mathematicians in light of these developments 1. The open letter warns that "the mass production at faster and faster pace of 'true/false' statements could destroy fertile ground instead of breathing life into new ideas," yet in his view, this does not capture the full complexity of the challenge 1. He also holds a different position than the letter's signatories regarding the relationship between problem-solving and conceptual understanding in mathematics 1.
The mathematician leads an automated theorem proving research group at Cambridge 1 and has had connections with OpenAI, including complimentary access to its Pro model, though he has not received compensation from the organization 1. He anticipates that large language models will be capable of solving major mathematical problems within a matter of months 1.
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