[人人能懂] 从统一语言、认知陷阱到犯错的艺术

要让AI真正变聪明，是该为它发明一套统一江湖的“世界语”，还是该教会它如何在“大脑袋”和“长思考”间做出明智的权衡？又或者，我们得先帮它建立健康的“信息食谱”，避免陷入“脑子瓦特”的陷阱，并治愈它那藏着世界性偏见的好奇心？甚至，最新论文告诉我们，通往更高智能的钥匙，竟然是先让AI学会如何当一个会犯错的“差生”。本期节目，我们将通过五篇最新论文，共同探索AI智能背后那些你意想不到的深层逻辑。00:00:39 AI的“世界语”：一套统一江湖的武功秘籍00:06:11 AI的“垃圾食品”陷阱：为什么顶尖模型也会“脑子瓦特”？00:10:58 AI变聪明，靠脑子大还是想得久？00:17:18 AI的“好奇心”，藏着一个世界性的偏见00:22:56 为什么最聪明的AI，要先学会当个“差生”？本期介绍的几篇论文：[LG] Tensor Logic: The Language of AI  [University of Washington]  https://arxiv.org/abs/2510.12269 ---[CL] LLMs Can Get "Brain Rot"!  [Texas A&M University & University of Texas at Austin & Purdue University]  https://arxiv.org/abs/2510.13928 ---[LG] Not All Bits Are Equal: Scale-Dependent Memory Optimization Strategies for Reasoning Models  [KRAFTON & University of Wisconsin–Madison]  https://arxiv.org/abs/2510.10964 ---[CL] The Curious Case of Curiosity across Human Cultures and LLMs  [University of Michigan]  https://arxiv.org/abs/2510.12943 ---[LG] Learning to Make MISTAKEs: Modeling Incorrect Student Thinking And Key Errors  [MIT CSAIL]  https://arxiv.org/abs/2510.11502 

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