你有没有想过，AI除了会聊天画画，还能做什么更酷的事？本期节目，我们将一口气看到AI能力的多个惊人侧面。从像人一样“脑补”物理世界，到用“笨方法”实现更高效的学习，再到成为物理学家的“科研搭子”，解决真正的科学难题。这些最新论文将刷新你对AI潜力的认知！00:00:28 AI学会了“脑补”，世界就大不一样了00:06:08 大模型里的“关系户”，它凭什么吸引了所有注意力？00:13:10 AI省钱的终极奥义，少就是多00:18:04 一个“笨方法”，让AI学得更快00:22:49 AI，从聊天高手到科研搭子本期介绍的几篇论文：[LG] Latent Particle World Models: Self-supervised Object-centric Stochastic Dynamics Modeling [CMU & UT Austin & Brown University] https://arxiv.org/abs/2603.04553 ---[CL] The Spike, the Sparse and the Sink: Anatomy of Massive Activations and Attention Sinks [New York University] https://arxiv.org/abs/2603.05498 ---[CL] Sparse-BitNet: 1.58-bit LLMs are Naturally Friendly to Semi-Structured Sparsity [Microsoft Research] https://arxiv.org/abs/2603.05168 ---[CL] Replaying pre-training data improves fine-tuning [Stanford University] https://arxiv.org/abs/2603.04964 ---[AI] Solving an Open Problem in Theoretical Physics using AI-Assisted Discovery [Google Research] https://arxiv.org/abs/2603.04735

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

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