你有没有想过，一个真正聪明的AI，它的学习方式和我们有什么不同？今天我们来聊聊几篇有趣的最新论文：有的AI像我们一样“边读边学”来消化一本厚书；有的机器人因为“见识”够广，突然就看懂了人类的视频；还有的AI，通过学习错误的答案，竟然比学习标准答案进步还快！更神奇的是，AI甚至开始通过自我辅导，学习如何成为一名科学家，并领悟到“终身学习”才是智能的终极宿命。这背后到底藏着哪些颠覆我们常识的智慧？让我们一探究竟。00:00:39 AI的长文考卷，有没有更聪明的解法？00:06:27 机器人笨手笨脚？可能只是因为它“见识”太少00:12:10 “抄作业”的正确姿势，为什么错误的答案里藏着宝藏？00:17:54 AI科学家，怎么才能不“纸上谈兵”？00:24:57 为什么最聪明的AI，也必须终身学习？本期介绍的几篇论文：[LG] End-to-End Test-Time Training for Long Context [Astera Institute & UC San Diego] https://arxiv.org/abs/2512.23675 ---[RO] Emergence of Human to Robot Transfer in Vision-Language-Action Models [Physical Intelligence] https://arxiv.org/abs/2512.22414 ---[LG] Shape of Thought: When Distribution Matters More than Correctness in Reasoning Tasks [University of Waterloo & MILA & Google DeepMind] https://arxiv.org/abs/2512.22255 ---[LG] Training AI Co-Scientists Using Rubric Rewards [Meta Superintelligence Labs & University of Oxford] https://arxiv.org/abs/2512.23707 ---[AI] The World Is Bigger! A Computationally-Embedded Perspective on the Big World Hypothesis [University of Alberta & The Swiss AI Lab IDSIA] https://arxiv.org/abs/2512.23419

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“What did the council decide on item 42?” — answered with the speaker and the moment.

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