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 ---[LG] Fusing LLM Capabilities with Routing Data [University of Illinois Urbana-Champaign] https://arxiv.org/abs/2507.10540 ---[AI] Multi-Actor Generative Artificial Intelligence as a Game Engine [Google DeepMind] https://arxiv.org/abs/2507.08892 ---[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 ---[LG] Behavioral Exploration: Learning to Explore via In-Context Adaptation [UC Berkeley] https://arxiv.org/abs/2507.09041

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

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