今天我们来聊聊AI世界里那些“反常识”的智慧：为什么“见过世面”的AI不容易遗忘，而“偏科”却成了它发展的隐患？我们不仅会揭秘AI如何通过“预判你的预判”来极致提速，还会探讨为何有时“慢”一点的学习，反而能让AI变得更聪明、更懂变通。最后，我们会发现，解决一个复杂的动画难题，关键可能只是需要为AI发明一种“普通话”。00:00:31 为什么高手学东西，不容易忘？00:05:34 AI的加速赛，怎样让聪明的“大脑袋”跑得更快？00:12:39 AI动画的“普通话”和“方言”00:17:56 AI智能体：是天才还是“偏科生”？00:23:02 天下武功，唯快不破？AI训练中的一个“慢”智慧本期介绍的几篇论文：[LG] Pretrained Vision-Language-Action Models are Surprisingly Resistant to Forgetting in Continual Learning [The University of Texas at Austin & Microsoft Superintelligence] https://arxiv.org/abs/2603.03818 ---[LG] Speculative Speculative Decoding [Stanford University & Princeton University & Together AI] https://arxiv.org/abs/2603.03251 ---[CV] OmniLottie: Generating Vector Animations via Parameterized Lottie Tokens [Fudan University & StepFun & HKU MMLab] https://arxiv.org/abs/2603.02138 ---[AI] How Well Does Agent Development Reflect Real-World Work? [CMU] https://arxiv.org/abs/2603.01203 ---[LG] To Use or not to Use Muon: How Simplicity Bias in Optimizers Matters [New York University] https://arxiv.org/abs/2603.00742

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

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