[人人能懂] 从“野蛮生长”到“精准调校”：AI幕后的五位“工匠”

00:00:37 AI界的乐高革命：如何让你的模型“活”在当下

00:05:41 AI的“手术刀”：我们如何精准“切除”它的坏心思？

00:10:22 机器人学功夫：抄近道，还是练笨功？ 

00:15:03 AI怎么当学徒：让机器学会看“领导脸色” 

00:20:18 给AI动个“小手术”，治好它的“选择困难症”

本期介绍的几篇论文：

[LG] SequenceLayers: Sequence Processing and Streaming Neural Networks Made Easy  

[Google DeepMind]  

https://arxiv.org/abs/2507.23292  

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[LG] The Geometry of Harmfulness in LLMs through Subconcept Probing  

[Algoverse AI Research]  

https://arxiv.org/abs/2507.21141  

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[LG] Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training  

[The University of Tokyo]  

https://arxiv.org/abs/2507.21452  

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[LG] NPO: Learning Alignment and Meta-Alignment through Structured Human Feedback  

[Microsoft & Amrita Vishwa Vidyapeetham]  

https://arxiv.org/abs/2507.21131  

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[LG] TokenBlowUp: Resolving Representational Singularities in LLM Token Spaces via Monoidal Transformations  

[University of Washington]  

https://arxiv.org/abs/2507.19747