# Ethan Mollick 谈数学界的 AI 冲击：锯齿状前沿的前兆

- 来源：Ethan Mollick (@emollick)
- 发布时间：2026-09-11 00:29
- AIHOT 分数：50
- AIHOT 链接：https://aihot.news/items/cmtvqso7z044urofbri1uk09w
- 原文链接：https://x.com/emollick/status/2098086381704597901

## AI 摘要

Ethan Mollick 认为当前数学界对 AI 的反应是锯齿状前沿（jagged frontier）的结果，也是其他职业将要面对的前兆。AI 能发现超越人类的证明，但数学家还承担导师、维护学术共同体、守护领域未来等 AI 做不到的工作；他担忧 AI 公司聚焦最显眼的任务，反而削弱了这些其他工作的外部认可，并预计更多职业将被迫向公众解释工作不只由 AI 能做的可见任务构成。

## 正文

What you are seeing in math right now is a consequence of the jagged frontier, and a precursor of what is to come in other professions. Yes, mathematicians do math, but they also have other tasks they view as important (mentor students, maintain a scientific community, safeguard the future of a field, foster a love of math) that AI can't do.

At least one worry that mathematicians seem to have is that by focusing on the flashiest, most obvious element of what mathematicians do (make proofs), the AI companies are damaging the other tasks that AI can't do. AI can discover superhuman proofs, but that all math is about, and actually can undermine and reduce the attention to the other aspects of the job that are important to mathematicians. It becomes harder to defend the value of the many other tasks mathematicians do to the outside world if the most visible part is taken away.

I suspect we will see more of this across fields and professions that will increasingly be forced to help people understand that their jobs consist not only the most visible tasks that AI can do, but also tasks that the AI cannot do or does badly.