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行业动态 engadget.com · @staff@engadget.com (Anna Washenko)

OpenAI与Navier-Stokes争议:AI数学突破的归属问题

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人工智能据称解决了重大数学问题,但成就归属存在争议,Engadget探讨了OpenAI在此事件中的角色及引发的学术讨论。

AI推荐理由 Engadget报道OpenAI与Navier-Stokes数学问题的争议,涉及AI在数学领域的突破及学术信用问题,信息密度中等,但来源可靠,时效性高。

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新闻 AI OpenAI和纳维-斯托克斯争议发生了什么? 人工智能解决了一个重大数学问题,但成就的归属却模糊不清。 作者:Anna Washenko 2026年9月8日 下午6:11 EST Onurdongel/Getty Images 在Google上添加Engadget: 首选来源 Google Discover OpenAI今天宣布,它已经找到了纳维-斯托克斯问题的解决方案,这是数学界最长期存在的难题之一。这是一项重大成就,但这一消息却因关于该公司是否基于其他方未发表的研究而行动的争论而蒙上阴影。此外,OpenAI被指控试图影响谁将在出版物中获得这一成就的荣誉。 纳维-斯托克斯问题 首先,一些背景。千禧年大奖难题是由克莱数学研究所在2000年设立的七个复杂问题组成。该组织为每个问题的解决方案提供100万美元的奖励,所有这些问题都困扰了数学家数十年甚至数百年。自该奖项设立以来,该系列中只有另一个问题曾被解决。 纳维-斯托克斯问题围绕流体动力学,即分析液体和气体行为的规则。向数学家提出的角度,用极其通俗的话说,是是否存在任何边缘情况,其中原始的纳维-斯托克斯方程组导致现实中不可能发生的结果。 在将人工智能和大语言模型应用于解决数学中最令人困惑的难题方面,解决第二个千禧年大奖难题是一项巨大的成就。然而,在开发这些解决方案时使用竞争对手AI企业制造的工具,在谁应该以及如何声称对该工作的责任方面造成了摩擦。 指控 纽约大学的数学家Tristan Buckmaster和Anthropic雇佣但以个人身份工作的研究员Levent Alpöge一直在开发他们自己的解决方案,并在他们的努力中使用了多种不同的LLM,包括Anthropic Claude、OpenAI的Codex工具及其Astra前沿模型。根据Buckmaster的声明,OpenAI可能在得知包括竞争对手Anthropic在内的团队接近解决方案后,加倍努力研究纳维-斯托克斯问题。他质疑OpenAI是否利用了他和他的同事使用Codex所做的工作来获得自己的突破。 “我问模型是否在Codex中接受过训练或能够访问我们的会话,我们在这个项目中一直把所有的草稿都放在那里。我被告知模型不会查看用户数据。我再次询问关于训练的问题,但没有得到答案,”声明中写道。 Buckmaster随后表示,他与OpenAI的数学家和AI研究员Sebastien Bubeck以及另一位未透露姓名的人士进行了交谈,并被提供了两个声称该工作荣誉的选项。一个是发表部分进展,OpenAI将在第二天发表其纳维-斯托克斯解决方案。另一个是写一篇单独署名的论文,在纳维-斯托克斯解决方案中注明使用了OpenAI LLM,但不包括Alpöge的名字。Buckmaster表示他拒绝了这两个提议。 Bubeck和OpenAI首席执行官Sam Altman都在社交媒体上发布了自己版本的事件经过作为回应,Bubeck特别反驳了关于他要求从论文中删除Alpöge名字的说法。OpenAI的公告还表示,该公司不打算为其解决方案申领100万美元的奖金。
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News AI What's going on with OpenAI and the Navier-Stokes controversy? Artificial intelligence has solved a major mathematics problem, but credit for the accomplishment is murky. By Anna Washenko Sept. 8, 2026 6:11 pm EST Onurdongel/Getty Images Add Engadget on Google: Preferred Source Google Discover OpenAI announced today that it has found a solution to the Navier-Stokes problem, one of the longest-standing puzzles in mathematics. It's a major accomplishment, but the news has been marred by a debate over whether the company acted based on unpublished research from other parties. Additionally, OpenAI has been accused of attempting to influence who will receive credit for the achievement in publication. The Navier-Stokes problem First, some background. The Millennium Prize Problems are a group of seven complex questions established by the Clay Mathematics Institute in 2000. The organization is offering a reward of $1 million for solutions to each of these questions, all of which have stymied mathematicians for decades, if not centuries. Since the prize's creation, only one of the other problems from the collection had previously been solved. The Navier-Stokes problem centers on fluid dynamics, the rules for analyzing the behavior of both liquids and gasses. The angle that had been posed to mathematicians, in extreme layperson terms, is whether there are any edge cases where the original set of Navier-Stokes equations lead to results that cannot happen in reality. Having a solution to a second Millennium Prize Problem is a massive accomplishment when it comes to applying artificial intelligence and large language models to solving some of the most perplexing quandaries in mathematics. However, the use of tools made by rival AI businesses in developing those solutions has created friction in the field regarding who gets to claim responsibility for the work and how. The allegations Tristan Buckmaster, a mathematician at New York University, and Levent Alpöge, a researcher employed at Anthropic but working in a personal capacity, had been developing their own solution and made use of multiple different LLMs in their efforts, including Anthropic Claude, OpenAI's Codex tool and its Astra frontier model. According to a statement by Buckmaster, OpenAI may have doubled down on its efforts regarding Navier-Stokes after learning that a team including rival Anthropic was close to a solution. He questioned whether OpenAI had leveraged the work he and his colleague had done with Codex to obtain its own breakthrough. "I asked whether the model had been trained on, or had access to, our sessions in Codex, into which we had been putting all our drafts for the whole of this project. I was told the model did not look up user data. I asked again, about training, and I did not get an answer," the statement reads. Buckmaster then said he spoke with Sebastien Bubeck, a mathematician and AI researcher at OpenAI, and another unnamed party and was offered two options for claiming credit for the work. One was to publish a partial development, with OpenAI to publish its Navier-Stokes solution the following day. The other was to write a solo paper that credited the use of an OpenAI LLM in the Navier-Stokes solution without the inclusion of Alpöge's name. Buckmaster said he declined both proposals. Both Bubeck and OpenAI CEO Sam Altman have posted their versions of events to social media in response, with Bubeck specifically refuting the claim that he asked for Alpöge's name to be removed from a paper. The announcement from OpenAI also stated that the company did not plan to claim the $1 million prize for its solution.

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staff@engadget.com (Anna Washenko) OpenAI与Navier-Stokes争议:AI数学突破的归属问题 09-09 · 原文发布
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