你有没有想过，AI不仅能当个好徒弟，甚至还能“青出于蓝而胜于蓝”？我们常说的AI“幻觉”和“脆弱”这两种毛病，会不会其实是同一个病根？更神奇的是，AI不仅能解决问题，它还能学会“如何更好地解决问题”，甚至学会像侦探一样，找出逻辑漏洞并大声“摇头”说不。本期节目，我们将一口气拆解几篇最新出炉的AI论文，带你看看这些正在发生的、激动人心的思想变革。00:00:33 老师傅干活慢，笨徒弟怎么才能“出师”还“胜于蓝”？00:06:43 AI的“跷跷板困境”，为什么模型越聪明，可能也越脆弱？00:12:44 人工智能的“元认知”，它如何学会了“开窍”？00:19:07 跟AI高效对话的底层逻辑00:00 AI不只会“点头”，更要学会“摇头”本期介绍的几篇论文：[LG] Beyond Single Tokens: Distilling Discrete Diffusion Models via Discrete MMD [Google DeepMind] https://arxiv.org/abs/2603.20155 ---[LG] Neural Uncertainty Principle: A Unified View of Adversarial Fragility and LLM Hallucination [Northwest Institute of Nuclear Technology & Tsinghua University] https://arxiv.org/abs/2603.19562 ---[AI] Hyperagents [Meta] https://arxiv.org/abs/2603.19461 ---[AI] Demonstrations, CoT, and Prompting: A Theoretical Analysis of ICL [Microsoft Research & University of Wisconsin-Madison] https://arxiv.org/abs/2603.19611 ---[AI] Learning to Disprove: Formal Counterexample Generation with Large Language Models [ETH Zurich & University of Toronto & MiroMind] https://arxiv.org/abs/2603.19514

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

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