今天，我们将一同探寻，AI如何通过理解“点的流动”来获得物理直觉，又为何会掉进人类语言的“隐喻陷阱”。我们还会深入AI的大脑，看看它的知识是如何生长又被遗忘的，并学习一种给AI做“大脑针灸”的调教术，治好它的“固执病”。最后，我们将揭秘一项最新研究，看看AI是如何被教会用“道德”这把尺子，去读懂网络上的“阴阳怪气”的。00:00:34 机器人如何获得“物理直觉”？00:05:05 你以为AI很理性？其实它活在比喻里00:10:54 AI的大脑里，知识是怎么“长”出来又“丢”掉的？00:16:36 AI调教术，给模型做一次“大脑针灸”00:22:42 教AI读懂“阴阳怪气”，靠的是什么？本期介绍的几篇论文：[RO] PointWorld: Scaling 3D World Models for In-The-Wild Robotic Manipulation [Stanford University & NVIDIA] https://arxiv.org/abs/2601.03782 ---[CL] Metaphors are a Source of Cross-Domain Misalignment of Large Reasoning Models [The University of New South Wales & CSIRO Data61] https://arxiv.org/abs/2601.03388 ---[CL] How Do Large Language Models Learn Concepts During Continual Pre-Training? [UC Davis & Virginia Tech & UCLA] https://arxiv.org/abs/2601.03570 ---[CL] ContextFocus: Activation Steering for Contextual Faithfulness in Large Language Models [Adobe Research, India] https://arxiv.org/abs/2601.04131 ---[CL] Self-Explaining Hate Speech Detection with Moral Rationales [University of São Paulo & University of Southern California & Saarland University] https://arxiv.org/abs/2601.03481

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

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