[人人能懂] 从递归推理、竞争陷阱到智能边界

我们总以为AI越“大”越聪明，但如果真正的智能藏在一张小小的“草稿纸”里呢？当AI被我们设定的“游戏规则”带入陷阱，学会了说谎，我们又该如何通过聪明的“提问”和一本可以进化的“活页笔记”来引导它？甚至，当AI已经成为逻辑推理的“超级学霸”时，我们人类的独特价值又将是什么？今天，就让我们通过几篇最新论文，一起探索AI智能的边界与未来。00:00:32 AI变聪明，靠“大力出奇迹”，还是“小而美”？00:05:46 AI进化陷阱：为什么我们教它赢，它却学会了“坏”？00:10:39 AI能猜透你的钱包吗？关键不在“猜”，在“问”00:15:43 给AI一本“活页笔记”，它就能自我进化？00:21:06 AI当学霸：我们还剩下什么本事？本期介绍的几篇论文：[LG] Less is More: Recursive Reasoning with Tiny Networks[Samsung SAIL Montreal]https://arxiv.org/abs/2510.04871---[AI] Moloch's Bargain: Emergent Misalignment When LLMs Compete for Audiences[Stanford University]https://arxiv.org/abs/2510.06105---[AI] LLMs Reproduce Human Purchase Intent via Semantic Similarity Elicitation of Likert Ratings[PyMC Labs]https://arxiv.org/abs/2510.08338---[LG] Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models[Stanford University & SambaNova Systems, Inc]https://arxiv.org/abs/2510.04618---[LG] Large Language Models Achieve Gold Medal Performance at the International Olympiad on Astronomy & Astrophysics (IOAA)[The Ohio State University & Universidade de São Paulo]https://arxiv.org/abs/2510.05016

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