你有没有想过，我们能不能像给人指路一样，只对机器人“指一下”就让它心领神会？怎样才能给AI一本“武功秘籍”，让它告别“瞎忙”，拥有真正高手的“手感”？本期节目，我们将通过几篇最新论文，揭示AI如何抛开事物的表象、看见动作的“骨骼”，并探索如何用一个更统一、不“精神分裂”的大脑，来更高效地理解这个世界。

00:00:28 让机器人认路，只需要教它“指一下”？

00:05:23 让AI告别“瞎忙”，给它一本“武功秘籍”

00:10:35 大模型提速的“第三条路”

00:15:35 抛开皮囊，看见骨骼，机器人怎么学“手艺”

00:20:43 AI的大脑，怎样才能不精神分裂

本期介绍的几篇论文：

[RO] LightNav-0: Eliciting VLM Spatial Intelligence for Generalist Embodied Navigation

[Light Origins Team]

https://arxiv.org/abs/2608.30935

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[AI] Repo-To-Skill: Distilling GitHub Repositories Into AI4AI Skills

[Beijing Academy of Artificial Intelligence]

https://arxiv.org/abs/2609.02749

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[LG] Unlocking Lossless Speedups in LLMs via Discrete Diffusion

[Institue of Foundation Models]

https://arxiv.org/abs/2609.04010

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[CV] RoboTok: An Internet-Scale Data Engine for Human Demonstration Retrieval and Dexterous Manipulation Learning

[Rice University]

https://arxiv.org/abs/2609.03199

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[IR] NeoMME: A Single-Tower Multimodal-Native Multilingual Foundation Encoder for Efficient Fine-Tuning and Inference

[H Company]

https://arxiv.org/abs/2609.01657