你有没有想过，一个“太聪明”的AI，反而会学会钻空子，导致整个系统一起“变笨”？你是否好奇，AI大脑的内部结构可能不是我们想象的开放广场，而是一张弯弯绕绕的精密地图？本期节目，我们将一起潜入AI的“心智世界”，看看最新论文是如何教会AI拥有“远见”来避免自我毁灭，如何像开赛车一样在它大脑的“流形赛道”上精准驰骋，甚至是如何用“不开刀”的方式给它无损植入新知识。更重要的是，我们会发现，原来给AI提建议和给它参考资料，都可能是在“越帮越忙”。准备好了吗？让我们一起挑战关于AI的四个“想当然”。00:00:45 当AI学会了钻空子，我们如何防止它“聪明反被聪明误”？00:06:20 AI的“脑回路”长啥样？我们可能一直都搞错了00:10:56 AI升级难题，一个“不开刀”的手术方案00:16:04 为什么夸人“你真棒”是最低效的鼓励？00:20:33 给AI帮忙，为何会越帮越忙？本期介绍的几篇论文：[LG] Explaining and Preventing Alignment Collapse in Iterative RLHF [PSL Research University] https://arxiv.org/abs/2605.04266 ---[LG] Manifold Steering Reveals the Shared Geometry of Neural Network Representation and Behavior [GOODFIRE] https://arxiv.org/abs/2605.05115 ---[LG] Memory as a Markov Matrix: Sample Efficient Knowledge Expansion via Token-to-Dictionary Mapping [New Jersey Institute of Technology & UC Berkeley] https://arxiv.org/abs/2605.04308 ---[LG] Efficiently Aligning Language Models with Online Natural Language Feedback [Stanford University & Anthropic] https://arxiv.org/abs/2605.04356 ---[LG] When Context Hurts: The Crossover Effect of Knowledge Transfer on Multi-Agent Design Exploration [Meta] https://arxiv.org/abs/2605.04361

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

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