我们总觉得AI变得更强，就是模型更大、算力更猛，但今天我们要聊点不一样的。最新几篇论文告诉我们，真正的智能升级，是教会AI拥有科学家的“品味”，甚至赋予它类似人类的“情绪”来感知对错。同时，我们还要用一点小小的“随机”来防止它学会“耍滑头”，并在一场终极“摸底考”中，看清它距离人类顶尖黑客到底还有多远。准备好了吗？让我们一起看看，AI如何被塑造出更深邃的智慧。00:00:33 AI 会“品”，科学大不同00:07:02 你的AI有“情绪”了，而且这决定了它的智商00:13:00 如何防止你的AI员工「耍滑头」？00:18:15 人工智能摸底考，为什么黑客的饭碗暂时还很稳？00:24:19 AI法官的“内心戏”，一个比准确率更重要的指标本期介绍的几篇论文：[LG] Training AI Scientists to Replicate Research[Inherent]https://arxiv.org/abs/2608.13331 ---[AI] Emotion2Skill: Model-Internal Emotion Signals for Adaptive Skill Selection and Evolution[University of Science and Technology of China & University of Oxford & University of Arizona]https://arxiv.org/abs/2608.09248 ---[LG] Rubric Dropout: A Simple Way to Mitigate Reward Hacking in Rubric-as-Reward RL[Scale AI & University of Arizona]https://arxiv.org/abs/2608.11669 ---[AI] The Next Challenge for Agentic Cybersecurity: A Realistic, Contamination-Free Reverse Engineering Benchmark[Columbia University & UC Berkeley]https://arxiv.org/abs/2608.11469 ---[AI] Jagged Judges: Epistemic Stability Under Silence, Pressure, and Persistence[Meta Superintelligence Labs]https://arxiv.org/abs/2608.12645 在小宇宙查看该单集文稿

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

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