00:00:35 如何让AI从“学霸”变“侦探”？

00:04:35 内卷的AI界：为什么“更快”的工具，没人敢用？

00:09:28 让机器人学会“举一反三”的秘密

00:15:02 AI训练太烧钱？换个聪明的“刹车”法

00:19:13 让机器人看懂世界，只需一副“智能眼镜”

本期介绍的五篇论文：

[CL] Open Data Synthesis For Deep Research  

[Beijing Academy of Artificial Intelligence (BAAI)]  

https://arxiv.org/abs/2509.00375  

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[LG] Fantastic Pretraining Optimizers and Where to Find Them  

[Stanford University]  

https://arxiv.org/abs/2509.02046  

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[RO] Data Retrieval with Importance Weights for Few-Shot Imitation Learning  

[Stanford University]  

https://arxiv.org/abs/2509.01657  

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[LG] GradES: Significantly Faster Training in Transformers with Gradient-Based Early Stopping  

[Boston University Metropolitan College]  

https://arxiv.org/abs/2509.018  

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[RO] Manipulation as in Simulation: Enabling Accurate Geometry Perception in Robots  

[ByteDance Seed]  

https://arxiv.org/abs/2509.02530