Kuaikeji, September 22 news - Local time on Monday, OpenAI revealed the formation of a 'Mathematics and AI Advisory Board', as reported by various media outlets.

It is understood that the advisory board is situated at the Institute for Advanced Study in Princeton and comprises nine mathematicians who function autonomously from OpenAI.

Remarkably, OpenAI also revealed in its announcement that a secretive model, trained by the company since August 28, has successfully tackled over 100 long-standing, open mathematical challenges across diverse fields, including the previously contentious Navier-Stokes Millennium Prize Problem.

OpenAI mentioned that the model's swift advancements in mathematics have astonished its in-house mathematicians, prompting internal discussions on the optimal method for sharing this news with the academic world.

OpenAI holds the view that mathematics is a cornerstone of basic science, and AI-driven new mathematical discoveries could have far-reaching implications. Consequently, the development and deployment of related capabilities necessitate a more prudent approach. The company is presently exploring ways to more widely implement AI capabilities in mathematics.

Previously, over 20 Fields Medalists co-authored an open letter titled 'The Serious Misalignment of AI in the Field of Mathematics.'

The letter featured mathematicians such as Terence Tao, Yu Deng, and Peter Scholze, who voiced concerns regarding the potential adverse effects of using open mathematical problem solutions as a yardstick for new AI systems.

Their central point is not that 'AI cannot solve it,' but rather, 'what is the significance if it does?'

The open letter contends that for mathematicians, solving a renowned problem is not merely about obtaining the answer; it is about forging new methods, concepts, and insights during the process.

Conversely, AI companies view open problems as benchmarks for model capabilities, generating 'correct/incorrect' conclusions in bulk and at high speed, while bypassing the steps of writing papers, refining methods, and citing prior work.

The open letter highlights that this not only raises suspicions of plagiarism but may also disrupt the chain of intergenerational transmission of mathematical knowledge. In essence, the mathematical community's concern lies not in the upper limit of AI's capabilities, but in the aspects it overlooks, which precisely constitute the true value of mathematical research.

In response, OpenAI acknowledged that these viewpoints underscore the need for AI companies to engage in more in-depth dialogue with the mathematical community.

OpenAI clarified that the advisory board operates independently of OpenAI and has the authority to offer unsolicited advice, publicly comment on OpenAI's influence on mathematics, and modify its membership at its discretion. Members do not receive any remuneration from OpenAI.

Nonetheless, OpenAI also specified that the advisory board is not tasked with providing recommendations on the pace of the company's internal mathematical research.

The advisory board will also offer guidance on the review and dissemination of emerging findings, assisting OpenAI in evaluating their importance; provide insights on academic standards for mathematical research; and suggest ways in which OpenAI's tools can bolster mathematical research and education.