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节目简介
来源：小宇宙
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
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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