有没有想过，AI高手不是靠找答案，而是靠熔炼所有错误尝试，“创造”出全新答案来当自己的老师？本期节目，我们将揭秘AI如何完成这种不可思议的“自我修炼”，甚至在想象的梦境中为自己安排一套动态升级的“学习课程表”。我们还会一起探讨，如何为AI的“精准手术”建立一套体检标准以防“副作用”，并教会它在“信心一跃”的瞬间果断停止思考，拒绝无效内耗。最后，我们将看到AI如何在一个严厉教练的指导下，学会“瞻前顾后”的严谨逻辑。准备好了吗？让我们一起探索这些最新论文中，那些让AI变得更聪明、更靠谱的成长心法。00:00:45 AI的“自我修炼”心法：高手不是靠找答案，而是靠造答案00:06:54 AI的“精准手术”难题：治好了头疼，会不会引发脚气？00:12:35 AI的“梦中修炼”法：高手是在想象中自我迭代的00:18:37 AI的“偷懒”智慧：想明白了，就别再想了00:23:26 怎么让AI做事靠谱？教它学会“瞻前顾后”本期介绍的几篇论文：[LG] Compute as Teacher: Turning Inference Compute Into Reference-Free Supervision [Meta Superintelligence Labs] https://arxiv.org/abs/2509.14234 ---[LG] SteeringControl: Holistic Evaluation of Alignment Steering in LLMs [University of California, Santa Cruz & Washington University in St. Louis] https://arxiv.org/abs/2509.13450 ---[LG] Imagined Autocurricula [University College London AI Centre & University of Oxford] https://arxiv.org/abs/2509.13341 ---[CL] Early Stopping Chain-of-thoughts in Large Language Models [University of Delaware & Peking University] https://arxiv.org/abs/2509.14004 ---[LG] Teaching LLMs to Plan: Logical Chain-of-Thought Instruction Tuning for Symbolic Planning [MIT CSAIL] https://arxiv.org/abs/2509.13351

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

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