{ "version": 1, "event_id": "evt_a878e371d0d7a11a", "url": "https://xiyu.news/events/evt_a878e371d0d7a11a/", "json": "https://xiyu.news/api/events/evt_a878e371d0d7a11a.json", "type": "other", "status": "monitoring", "category": "technology", "title": { "zh": "25位菲尔兹奖得主警告：AI与数学界严重错位", "en": "A misalignment of AI in mathematics" }, "current_state": { "zh": "2026年9月11日，陶哲轩（Terence Tao）在其博客上发布《数学中AI的严重错位》一文，该声明由25位菲尔兹奖得主联署，认为AI公司的目标与数学界对可验证、可传播的理解的追求存在严重错位。此文发布之际，《经济学人》报道称顶尖数学家对OpenAI的做法感到愤怒——此前OpenAI宣称其内部模型解决了一个关于Navier-Stokes方程的长期难题。\n\n这是顶尖数学家就AI如何重塑研究文化所发表的最具分量的集体声明之一，其核心论点不是AI能力不足，而是激励机制错位。它可能影响学术界对成果归属、证明验证以及AI实验室如何发布与传播研究级成果的规范。\n\n该声明的联署者包括25位菲尔兹奖得主，其关注点在于AI生成的证明是否可被验证、是否能为学界所理解，而不仅仅是某个公开问题是否被解决。OpenAI的争议核心在于指控其建立在纽约大学数学家Tristan Buckmaster与Anthropic员工Levent Alpöge的AI辅助工作之上却未给予应有署名，OpenAI对此予以否认。", "en": "Terry Tao and other top mathematicians argue that AI-generated mathematical results are severely misaligned with the field's norms of understanding, credit, and verifiability, sparking widespread debate over OpenAI's methods." }, "first_seen_at": "2026-09-11T22:43:02.964884+00:00", "last_updated_at": "2026-09-11T22:43:02.964884+00:00", "last_material_change_at": "2026-09-11T22:43:02.964884+00:00", "confidence": 0.75, "updates_count": 1, "sources_count": 1, "entities": [ "mathematics" ], "identifiers": [], "topics": [ "ai-research", "ai-safety", "mathematics", "openai", "research-integrity" ], "updates": [ { "update_id": "upd_21824b18b46f6aea", "event_id": "evt_a878e371d0d7a11a", "occurred_at": "2026-09-11T17:45:12Z", "published_at": "2026-09-11T17:45:12Z", "first_seen_at": "2026-09-11T22:43:02.964884Z", "time_precision": "published", "update_type": "initial", "material_change": true, "title_zh": "25位菲尔兹奖得主警告：AI与数学界严重错位", "title_en": "A misalignment of AI in mathematics", "what_changed_zh": "2026年9月11日，陶哲轩（Terence Tao）在其博客上发布《数学中AI的严重错位》一文，该声明由25位菲尔兹奖得主联署，认为AI公司的目标与数学界对可验证、可传播的理解的追求存在严重错位。此文发布之际，《经济学人》报道称顶尖数学家对OpenAI的做法感到愤怒——此前OpenAI宣称其内部模型解决了一个关于Navier-Stokes方程的长期难题。\n\n这是顶尖数学家就AI如何重塑研究文化所发表的最具分量的集体声明之一，其核心论点不是AI能力不足，而是激励机制错位。它可能影响学术界对成果归属、证明验证以及AI实验室如何发布与传播研究级成果的规范。\n\n该声明的联署者包括25位菲尔兹奖得主，其关注点在于AI生成的证明是否可被验证、是否能为学界所理解，而不仅仅是某个公开问题是否被解决。OpenAI的争议核心在于指控其建立在纽约大学数学家Tristan Buckmaster与Anthropic员工Levent Alpöge的AI辅助工作之上却未给予应有署名，OpenAI对此予以否认。", "what_changed_en": "Terry Tao and other top mathematicians argue that AI-generated mathematical results are severely misaligned with the field's norms of understanding, credit, and verifiability, sparking widespread debate over OpenAI's methods.", "current_state_zh": "2026年9月11日，陶哲轩（Terence Tao）在其博客上发布《数学中AI的严重错位》一文，该声明由25位菲尔兹奖得主联署，认为AI公司的目标与数学界对可验证、可传播的理解的追求存在严重错位。此文发布之际，《经济学人》报道称顶尖数学家对OpenAI的做法感到愤怒——此前OpenAI宣称其内部模型解决了一个关于Navier-Stokes方程的长期难题。\n\n这是顶尖数学家就AI如何重塑研究文化所发表的最具分量的集体声明之一，其核心论点不是AI能力不足，而是激励机制错位。它可能影响学术界对成果归属、证明验证以及AI实验室如何发布与传播研究级成果的规范。\n\n该声明的联署者包括25位菲尔兹奖得主，其关注点在于AI生成的证明是否可被验证、是否能为学界所理解，而不仅仅是某个公开问题是否被解决。OpenAI的争议核心在于指控其建立在纽约大学数学家Tristan Buckmaster与Anthropic员工Levent Alpöge的AI辅助工作之上却未给予应有署名，OpenAI对此予以否认。", "current_state_en": "Terry Tao and other top mathematicians argue that AI-generated mathematical results are severely misaligned with the field's norms of understanding, credit, and verifiability, sparking widespread debate over OpenAI's methods.", "detailed_summary_zh": "Terry Tao and other top mathematicians argue that AI-generated mathematical results are severely misaligned with the field's norms of understanding, credit, and verifiability, sparking widespread debate over OpenAI's methods.", "detailed_summary_en": "Terry Tao and other top mathematicians argue that AI-generated mathematical results are severely misaligned with the field's norms of understanding, credit, and verifiability, sparking widespread debate over OpenAI's methods.", "background_zh": "菲尔兹奖常被视为数学界的诺贝尔奖，而陶哲轩是当今最被广泛引用、公众知名度最高的在世数学家之一。过去一年里，AI系统已从在竞赛类数学基准上取得高分，转向宣称解决真正的研究级公开问题，包括Erdős问题和一个离散几何猜想。由于机器生成的证明可能极其冗长、难以人工核验，数学家担忧“宣称的结果”与通常应伴随的人类的理解之间出现断裂。", "background_en": "The Fields Medal is widely described as mathematics' equivalent of the Nobel Prize, and Terence Tao is among the most cited and publicly visible living mathematicians. Over the past year, AI systems have moved from acing competition-style math benchmarks toward claims of resolving genuine open research problems, including Erdős problems and a discrete geometry conjecture. Because machine-generated proofs can be extremely long and difficult to check by hand, mathematicians worry about a gap between a claimed result and the human understanding that normally accompanies it.", "community_discussion_zh": "Hacker News上约640条评论的讨论中，既有对AI实验室叙事给学生、研究者和知识文化带来连锁影响的担忧，也有反驳意见认为“难以理解的证明”并非新事物——一位数学家将其比作望月新一的abc猜想：当年因普遍怀疑而未被接受，却仍催生了会议、论文与讨论。另一种主流观点认为，AI并未摧毁数学家构建理解的能力，却摧毁了以往衡量贡献的标尺——即“解决公开问题”，由此造成的成果归属难题已不可逆转。还有评论将其类比于19世纪波德莱尔对摄影的贬斥，认为那只是对绘画的机械模仿。", "community_discussion_en": "The Hacker News thread, running to roughly 640 comments, combines alarm about the ripple effects of AI-lab narratives on students, researchers, and the culture of knowledge, with counterarguments that inscrutable proofs are nothing new — one mathematician compares the situation to Mochizuki's abc conjecture, which was rejected on skepticism yet still generated conferences, papers, and debate. Another prominent view holds that AI has not destroyed mathematicians' ability to build understanding, but has destroyed the yardstick — solving open problems — traditionally used to measure contributions, creating a credit-assignment problem that is already irreversible. A further comment draws a parallel to Baudelaire's 19th-century dismissal of photography as a mechanical imitation of painting.", "market_impact_zh": "该事件并不直接涉及任何协议、代币或交易场所，因此任何传导都经由情绪而非基本面：它落在同样为AI主题加密资产定价的广义AI叙事通道上，并可能强化那些以“可验证计算”和形式化证明检验为卖点的项目的话语优势。此类影响是间接且缓慢的。", "market_impact_en": "The story touches no protocol, token, or trading venue directly, so any transmission runs through sentiment rather than fundamentals: it lands in the broader AI-narrative channel that also prices AI-themed crypto assets, and it may strengthen the rhetorical case for projects marketing verifiable computation and formal proof checking. Any such effect would be indirect and slow-moving.", "importance_score": 8.5, "references": [ { "url": "https://news.ycombinator.com/item?id=49662371", "title": "Community discussion" }, { "url": "https://terrytao.wordpress.com/2026/09/11/a-severe-misalignment-of-ai-in-mathematics/", "title": "A Severe Misalignment of AI in Mathematics | What's new" }, { "url": "https://officechai.com/ai/25-fields-medal-winners-including-terence-tao-sign-declaration-saying-rapid-ai-proofs-are-harming-math-in-severe-misalignment/", "title": "25 Fields Medal Winners Including Terence Tao Sign Declaration Saying Rapid AI Proofs Are Harming Math In \"Severe Misalignment\"" }, { "url": "https://www.technologyreview.com/2026/09/08/1143747/what-openais-latest-controversy-tells-us-about-the-future-of-math/", "title": "What OpenAI’s latest controversy tells us about the future of math | MIT Technology Review" } ], "confidence": 0.75, "story_ids": [ "hackernews:story:49662371" ], "sources": [ { "url": "https://mathandai.org/", "label": "meredydd", "source_type": "hackernews", "official": false } ] } ] }