# 陶哲轩：AI正在降低数学研究的门槛与试错成本

- 来源：Rohan Paul (@rohanpaul_ai)
- 发布时间：2026-06-01 02:34
- AIHOT 分数：60
- AIHOT 链接：https://aihot.virxact.com/items/cmpu4x0th00qcslaguhe9gjmm
- 原文链接：https://x.com/rohanpaul_ai/status/2061154406884942285

## AI 摘要

陶哲轩指出，AI工具和Lean等技术正在改变数学研究的参与门槛。过去需要多年博士训练才能触及前沿，而现在高中生也有可能参与项目并做出实质贡献。他强调，研究时间大多消耗在核查、验证等重复性工作上，AI降低了这类循环的成本，使研究者更敢于尝试“更疯狂”的想法。许多非常规思路并非因错误被否，而是因验证成本过高而被放弃；AI让犹豫变得廉价，这往往是科学发现的起点。

## 正文

Terence Tao summarized how AI is massively accelerating math career and math research.

"In math， you previously had to basically go through years and years of education to be a math PhD before you could contribute to the frontier of math research. But now it's quite possible at the high school level or whatever， that you could get involved in a math project and actually make a real contribution because of all these AI tools and lean and everything else."

From @dwarkesh_sp podcast （link to full video in comment）

### 引用推文

> Rohan Paul：Terence Tao: "We lived in a world with cognitive friction until very recently, where every task required us to use our brain. So we didn't really think about it...