OpenAI 宣稱解開百萬美元數學難題！AI 跑太快，人類落後的是哪三件事？

OpenAI 宣稱以內部模型解開百萬美元 Navier-Stokes 難題的一個版本，Buckmaster 與 Alpöge 早幾天就貼出相近問題的解答，功勞歸屬隨即引發爭議。最強 AI 模型在幾個理論領域的解題正確率兩年內從約 2% 升到約 35%，看懂、驗證與分清功勞的速度卻還跟不上。 ⭐ 文章深度讀：OpenAI 宣稱解開百萬美元難題！功勞和驗證人都還跟不上 → https://heymaibao.com/openai-million-dollar-math-problem-credit-verification-ea8fde/ ⚡ 章節重點 AI 解題的速度 00:00 百萬美元難題 01:06 功勞歸誰 01:39 撤回與驗證 03:14 證明消化 03:42 數學家的失落 04:18 人留下來的價值 05:24 📝 懶人包 ∙ 在研究涵蓋的幾個理論領域，最強 AI 模型兩年內的解題正確率從約 2% 升到約 35%。 ∙ OpenAI 讓超過 1,000 個 agent 花超過 50 小時攻 Navier-Stokes。 ∙ OpenAI 在最新資料集發佈後，撤回了其中好幾個解答。 ∙ 我的觀點：AI 解得太快，功勞、看懂、驗證三件事人類都還跟不上。 📚 參考資料 AI Came for Math. Now It’s Chasing the Rest of Science → https://www.wired.com/story/ai-is-coming-for-science-next-watch-out/ ‘I’m Really Terrified’: A Mathematician Grapples With AI’s Recent Breakthroughs → https://www.wired.com/story/mathematician-steven-strogatz-grapples-with-ai-recent-breakthroughs/ OpenAI Just Claimed a Huge Math Discovery. Some Academics Are Crying Foul → https://www.wired.com/story/openai-navier-stokes-math-discovery-academics/ Today, Levent Alpöge and I have made public three results → https://cims.nyu.edu/~tristanb/statement.pdf NYU Mathematician Answers Long-Standing Questions about Fundamental Equations of Fluid Motion → https://www.nyu.edu/about/news-publications/news/2026/september/nyu-mathematician-answers-long-standing-questions-about-fundamen.html Navier-Stokes, Euler, and the AI priority question → https://poly.rpi.edu/news/2026/09/navier-stokes-euler-and-the-ai-priority-question