00:00:33 AI的“一根筋”难题:如何跳出思维的隧道?00:05:08 AI的“高情商”陷阱:当它说得越流利,你可能越要小心00:08:53 如何让AI学会“开窍”?00:13:49 给你的AI,装上一个“立体思维”引擎00:18:41 AI偷懒的智慧:如何用更少的力气,办更聪明的事?本期介绍的几篇论文:[LG] ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute [Tsinghua University] https://arxiv.org/abs/2509.04475 ---[CL] Knowledge Collapse in LLMs: When Fluency Survives but Facts Fail under Recursive Synthetic Training [Holistic AI & University College London] https://arxiv.org/abs/2509.04796 ---[LG] Bootstrapping Task Spaces for Self-Improvement [Meta Superintelligence Labs] https://arxiv.org/abs/2509.04575 ---[CL] Enhancing Diversity in Large Language Models via Determinantal Point Processes [Boston University & University of Maryland & University College London] https://arxiv.org/abs/2509.04784 ---[LG] Recurrent State Encoders for Efficient Neural Combinatorial Optimization [University of Hildesheim] https://arxiv.org/abs/2509.05084
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