[人人能懂AI前沿] 从触觉梦境、思维循环到经验迁移：AI如何学会深度思考与行动

你有没有想过，让AI学会“做白日梦”去预演触感，竟然能让它的动手能力提升90%？我们常说的“深度思考”，在AI那里可能只是一种高效的“循环播放”。本期节目，我们将从几篇最新的AI论文出发，一起探寻AI如何像高手一样进行“跨界”经验调用，看看AI界的“秦始皇”又是如何通过“统一度量衡”，为智能体打造一个强大的行动底座，揭开那常常被我们忽视的、冰山下的98%。
00:00:34 学会“做白日梦”，才能把活儿干好
00:05:23 AI的冰山，我们看不见的那98%
00:11:19 AI的“深度思考”，原来是“循环播放”？
00:16:46 高手，都善于“跨界”调用经验
00:23:38 AI 界的“秦始皇”，如何统一智能体的“度量衡”？
本期介绍的几篇论文：
[RO] Learning Versatile Humanoid Manipulation with Touch Dreaming
[CMU]
https://arxiv.org/abs/2604.13015
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[AI] Dive into Claude Code: The Design Space of Today's and Future AI Agent Systems
[Mohamed bin Zayed University of Artificial Intelligence]
https://arxiv.org/abs/2604.14228
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[LG] A Mechanistic Analysis of Looped Reasoning Language Models
[University of Oxford & Mila]
https://arxiv.org/abs/2604.11791
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[LG] Memory Transfer Learning: How Memories are Transferred Across Domains in Coding Agents
[KAIST]
https://arxiv.org/abs/2604.14004
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[AI] UniToolCall: Unifying Tool-Use Representation, Data, and Evaluation for LLM Agents
[University of Science and Technology of China & Eastern Institute of Technology]
https://arxiv.org/abs/2604.11557