内容来源：https://techcrunch.com/2025/10/19/openais-embarrassing-math/

内容总结：

近日，人工智能领域掀起一场关于GPT-5数学能力的舆论风波。OpenAI研究人员曾公开庆祝该模型在解决著名数学难题方面取得突破，称其"解决了10个悬而未决的埃尔德什问题"，但随后遭到学术界的质疑。

事件起源于OpenAI副总裁凯文·韦尔在社交媒体发布的消息，但该内容已被删除。对此，负责维护埃尔德什问题网站的数学家托马斯·布鲁姆指出，所谓"未解决"仅代表"个人尚未看到相关解决方案的论文"，而GPT-5实际只是"找到了已被文献记载的解决方案"。

这场争议引来业内大佬点评。Meta首席AI科学家杨立昆嘲讽OpenAI团队"被自家产品反将一军"，谷歌DeepMind首席执行官德米斯·哈萨比斯则直言"令人尴尬"。尽管OpenAI研究员塞巴斯蒂安·布贝克承认模型仅是"发现现有文献解法"，但仍坚持认为"文献检索本身具有重要价值"。

目前该事件凸显出人工智能领域在成果宣传与学术严谨性之间需要寻求更好平衡。

中文翻译：

"被自家的GPT蠢才坑了。"Meta首席AI科学家杨立昆如此评价OpenAI研究人员炫耀GPT-5所谓数学突破后的翻车现场。谷歌DeepMind首席执行官德米斯·哈萨比斯随后补刀："这实在太尴尬了。"

《解码器》报道称，OpenAI副总裁凯文·韦尔在已删除的推文中宣称"GPT-5解决了10个(!)此前悬而未决的埃尔德什问题，并对另外11个问题取得进展"。但维护埃尔德什问题网站的数学家托马斯·布鲁姆指出，韦尔的声明存在严重误导——虽然这些问题在其网站上被标记为"待解"，但这仅代表"我个人尚未看到已发表的相关解决方案"。

换言之，所谓GPT-5解决历史难题的说法并不准确。布鲁姆澄清道："GPT-5只是找到了那些已解决问题被刊载的文献，而这些文献恰巧未被我本人注意到。"此前大力宣扬GPT-5成果的OpenAI研究员塞巴斯蒂安·布贝克随后承认"系统仅发现了文献中现成的解法"，但仍坚持认为这算得上成就："我清楚检索文献的难度有多大。"

英文来源：

“Hoisted by their own GPTards.”
That’s how Meta’s Chief AI Scientist Yann LeCun described the blowback after OpenAI researchers did a victory lap over GPT-5’s supposed math breakthroughs.
Google DeepMind CEO Demis Hassabis added, “this is embarrassing.”
The Decoder reports that in a since-deleted tweet, OpenAI VP Kevin Weil declared that “GPT-5 found solutions to 10 (!) previously unsolved Erdős problems and made progress on 11 others.” (“Erdős problems” are famous conjectures posed by mathematician Paul Erdős.)
However, mathematician Thomas Bloom, who maintains the Erdos Problems website, said Weil’s post was “a dramatic misrepresentation” — while these problems were indeed listed as “open” on Bloom’s website, he said that only means, “I personally am unaware of a paper which solves it.”
In other words, it’s not accurate to claim GPT-5 was able to solve previously unsolved problems. Instead, Bloom wrote, “GPT-5 found references, which solved these problems, that I personally was unaware of.”
Sebastien Bubeck, an OpenAI researcher who’d also been touting GPT-5’s accomplishments, then acknowledged that “only solutions in the literature were found,” but he suggested this remains a real accomplishment: “I know how hard it is to search the literature.”