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节目简介
来源：小宇宙
今天我们要聊一个特别有意思的话题：AI的“思想”到底是怎么回事？我们会从几篇最新的论文出发，看看AI是如何从一个只会模仿答案的“偏科生”，被一步步调教成严谨的“学霸”的。接着，我们会见识一个让AI内部互相“打架”的残酷角斗场，看看真相如何从对抗中诞生。最后，我们还会发现，真正聪明的AI，不仅要懂得在混乱的边缘跳舞，甚至还要学会一项我们人类与生俱来的高级能——主动“遗忘”。
00:00:34 AI当科学家，光有答案，没有思想？
00:06:18 AI界的“学霸”是怎样炼成的？
00:11:23 为什么共识可能是陷阱？用AI对抗AI，我们能学到什么
00:17:53 高手秘诀，在混乱的边缘起舞
00:23:26 聪明的大脑，要学会主动“变傻”
本期介绍的几篇论文：
[AI] AI scientists produce results without reasoning scientifically
[Friedrich Schiller University Jena & Indian Institute of Technology Delhi]
https://arxiv.org/abs/2604.18805
---
[AI] QuantumQA: Enhancing Scientific Reasoning via Physics-Consistent Dataset and Verification-Aware Reinforcement Learning
[University of Science and Technology of China]
https://arxiv.org/abs/2604.18176
---
[AI] Refute-or-Promote: An Adversarial Stage-Gated Multi-Agent Review Methodology for High-Precision LLM-Assisted Defect Discovery
[A Agarwal]
https://arxiv.org/abs/2604.19049
---
[LG] Generalization at the Edge of Stability
[Imperial College London]
https://arxiv.org/abs/2604.19740
---
[LG] Neural Garbage Collection: Learning to Forget while Learning to Reason
[Stanford University]
https://arxiv.org/abs/2604.18002
00:00:34 AI当科学家，光有答案，没有思想？
00:06:18 AI界的“学霸”是怎样炼成的？
00:11:23 为什么共识可能是陷阱？用AI对抗AI，我们能学到什么
00:17:53 高手秘诀，在混乱的边缘起舞
00:23:26 聪明的大脑，要学会主动“变傻”
本期介绍的几篇论文：
[AI] AI scientists produce results without reasoning scientifically
[Friedrich Schiller University Jena & Indian Institute of Technology Delhi]
https://arxiv.org/abs/2604.18805
---
[AI] QuantumQA: Enhancing Scientific Reasoning via Physics-Consistent Dataset and Verification-Aware Reinforcement Learning
[University of Science and Technology of China]
https://arxiv.org/abs/2604.18176
---
[AI] Refute-or-Promote: An Adversarial Stage-Gated Multi-Agent Review Methodology for High-Precision LLM-Assisted Defect Discovery
[A Agarwal]
https://arxiv.org/abs/2604.19049
---
[LG] Generalization at the Edge of Stability
[Imperial College London]
https://arxiv.org/abs/2604.19740
---
[LG] Neural Garbage Collection: Learning to Forget while Learning to Reason
[Stanford University]
https://arxiv.org/abs/2604.18002
