2026年9月21日

公司
数学与人工智能顾问组
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8月28日，我们开始训练一个新的内部模型。该模型不仅解决了纳维-斯托克斯千禧年大奖难题⁠，而且现已解决了数学大多数领域中100多个长期悬而未决的开放性问题。它在数学领域取得的进展速度令OpenAI内部的数学家们感到惊讶。这引发了关于如何最好地向社区通报这一快速进展，以便为领域的准备和适应内部讨论。

数学是一门基础科学，新的发现可能导致广泛的应用。这使得这些能力的承诺意义重大，其负责任的发展和部署的重要性超越了数学本身。我们认识到这一点，并正在研究如何以负责任的方式更广泛地部署与数学相关的AI能力。

在最近的一封公开信“AI在数学中的严重错位⁠
（在新窗口中打开）
”中，数学家们提出了对将解决开放性问题作为新AI系统基准的负面外部性的担忧。

他们的批评凸显了AI公司与数学社区进行深思熟虑互动的必要性。为此，我们正在与已成立独立数学顾问组的数学家合作。该小组将充当通往数学界和更广泛公众的桥梁，让数学家在我们前进的过程中拥有发言权。

该小组将就新兴成果的审查和沟通提供建议：他们将帮助OpenAI评估其重要性，就如何协调其传播提供建议，并就数学研究的学术和专业标准提供建议。它还将就我们的工具如何支持数学研究和学习提供建议。我们希望将强大的工具交到数学家手中，让他们能够追求他们最了解的问题并发展新思想。

该小组将独立于OpenAI运作。该小组将有自由提供我们未请求的建议，评论OpenAI对数学的影响，并公开其建议。其价值取决于其成员能够行使自己的判断力并挑战我们的判断力。其成员不会由OpenAI支付报酬，且该小组可以根据需要更改其成员构成。重要的是，该小组不负责就如何控制我们在数学方面内部进展的速度向我们提供建议。

与该小组合作是一个第一步。关于AI如何支持数学理解以及这些能力的好处如何惠及更广泛的社区，前方还有困难的问题。我们希望数学家能够处于塑造答案的中心位置。

数学与人工智能顾问组⁠
（在新窗口中打开）
的初始成员，托管于高等研究院⁠
（在新窗口中打开）
：

François Charles（巴黎高等师范学院-PSL大学）

Camillo De Lellis（高等研究院，GSSI）

Timothy Gowers（法兰西学院，剑桥大学）

Martin Hairer（洛桑联邦理工学院，伦敦帝国理工学院）

Nikhil Srivastava（加州大学伯克利分校，西蒙斯研究所）

Ulrike Tillmann（牛津大学，INI）

Ravi Vakil（斯坦福大学）

Edward Witten（高等研究院）

Melanie Matchett Wood（哈佛大学）

2026年
作者
OpenAI
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September 21, 2026

Company
Advisory Group on Mathematics and Artificial Intelligence
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On August 28, we began training a new internal model. In addition to resolving the Navier–Stokes Millennium Prize problem⁠, this model has now resolved more than 100 long-standing open problems across most areas of mathematics. The pace of its progress⁠ in mathematics has surprised the mathematicians within OpenAI. This has led to internal discussions on the best way to inform the community of the rapid progress to prepare and adapt the field.

Mathematics is a fundamental science, and novel discoveries may result in a wide range of applications. That makes the promise of these capabilities substantial, and their responsible development and deployment important beyond mathematics itself. We recognize this and are working through how broader deployment of math-related AI capabilities can be done responsibly.

In a recent open letter “A Severe Misalignment of AI in Mathematics⁠
(opens in a new window)
,” mathematicians raise concerns about the negative externalities of solving open problems as a benchmark for new AI systems.

Their criticisms highlight the need for thoughtful engagement of AI companies with the math community. To that end, we’re working with mathematicians who have established an independent mathematics advisory group. This group will serve as a bridge to the mathematical community and broader public, giving mathematicians a voice in how we move forward.

The group will advise on the review and communication of emerging results: they will help OpenAI assess their significance, advise on how to coordinate their dissemination, and advise on academic and professional standards of mathematical research. It will also advise on how our tools can support mathematical research and learning. We want to put capable tools in mathematicians’ hands so they can pursue the questions they know best and develop new ideas.

The group will operate independently from OpenAI. The group will have the freedom to offer advice we have not requested, comment on OpenAI’s impact on mathematics, and make its advice public. Its value depends on its members being able to exercise their own judgement and challenge ours. Its members will not be paid by OpenAI, and the group can change its membership as it sees fit. Importantly, the group will not be responsible for advising us on how to pace our internal progress on mathematics.

Working with this group is a first step. There are difficult questions ahead about how AI can support mathematical understanding and how the benefits of these capabilities can reach the wider community. We want mathematicians to be at the center of shaping the answers.

Initial Members of the Advisory Group on Mathematics and Artificial Intelligence⁠
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, hosted at the Institute for Advanced Study⁠
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:

François Charles (ENS-PSL)

Camillo De Lellis (IAS, GSSI)

Timothy Gowers (Collège de France, Cambridge)

Martin Hairer (EPFL, Imperial College London)

Nikhil Srivastava (Berkeley, Simons Institue)

Ulrike Tillmann (Oxford, INI)

Ravi Vakil (Stanford)

Edward Witten (IAS)

Melanie Matchett Wood (Harvard)

2026
Author
OpenAI
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