00:01:44 AI偷懒的艺术：好钢如何用在刀刃上

00:05:46 组个“AI梦之队”，比单打独斗强在哪？

00:10:51 AI玩“跑团”：下一个世界是如何被设计出来的？

00:14:40 炼成“大模型”高手，需要计划表还是指南针？

00:19:09 让机器人学会“试错”：不是瞎猜，而是高手过招

今天介绍的五篇论文：

[CL] Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation  

[KAIST AI & Mila]  

https://arxiv.org/abs/2507.10524  

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[LG] Fusing LLM Capabilities with Routing Data  

[University of Illinois Urbana-Champaign]  

https://arxiv.org/abs/2507.10540  

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[AI] Multi-Actor Generative Artificial Intelligence as a Game Engine  

[Google DeepMind]  

https://arxiv.org/abs/2507.08892  

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[LG] Through the River: Understanding the Benefit of Schedule-Free Methods for Language Model Training  

[KAIST & Seoul National University & Microsoft Research]  

https://arxiv.org/abs/2507.09846  

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[LG] Behavioral Exploration: Learning to Explore via In-Context Adaptation  

[UC Berkeley]  

https://arxiv.org/abs/2507.09041