[人人能懂] 不止于“怎么用”：AI运行的五大核心原理

00:01:30 人工智能的安全带，真的能系牢吗？ 

00:06:39 给人工智能算算账：它能力的边界在哪？ 

00:11:34 你一“喜欢”，人工智能就变乖？这事儿没那么简单 

00:16:07 高手与普通人的差距，不在于答案，而在于“清单” 

00:20:26 想成事？别总想细节，试试“打包”你的行动 

本期介绍的五篇论文：

[LG] On the Impossibility of Separating Intelligence from Judgment: The Computational Intractability of Filtering for AI Alignment

[Ludwig-Maximilians-Universität in Munich & UC Berkeley]

https://arxiv.org/abs/2507.07341

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[CL] Hallucination Stations: On Some Basic Limitations of Transformer-Based Language Models

[Stanford University & VianAI Systems]

https://arxiv.org/abs/2507.07505

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[LG] Principled Foundations for Preference Optimization

[Google DeepMind]

https://arxiv.com/abs/2507.07855

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[LG] PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving

[Google]

https://arxiv.com/abs/2507.07495

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[LG] Reinforcement Learning with Action Chunking

[UC Berkeley]

https://arxiv.com/abs/2507.07969