[人人能懂] 从任务分解、元认知到精准剪枝

有没有想过，为什么AI会像武林高手一样，有时会练伤自己的“七伤拳”，甚至在减肥时反而越减越“胖”？本期节目，我们将一同潜入AI的“思想世界”，去看看它是如何学会“四两拨千斤”的巧劲，又是如何为自己编写“武功秘籍”来高效成长的。我们还会见证科学家如何像外科医生一样，用一把“手术刀”精准切除AI的坏念头。准备好了吗？让我们从这几篇最新的论文中，发现让AI和我们自己都变得更聪明的“章法”！

00:00:35 AI的“四两拨千斤”：高手做事，不靠蛮力 

00:05:28 AI的“武功秘籍”：高手是怎么炼成的？

00:10:53 AI的“外科手术刀”：如何精准“切除”一个坏念头？

00:16:16 AI的“七伤拳”：学得越多，忘得越快？

00:22:08 给AI“减肥”，为何越减越“胖”？

本期介绍的几篇论文：

[LG] Small Models, Big Results: Achieving Superior Intent Extraction through Decomposition  

[Google]  

https://arxiv.org/abs/2509.12423  

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[LG] Metacognitive Reuse: Turning Recurring LLM Reasoning Into Concise Behaviors  

[Meta]  

https://arxiv.org/abs/2509.13237  

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[LG] RepIt: Representing Isolated Targets to Steer Language Models  

[University of California, Santa Cruz & UC Berkeley]  

https://arxiv.org/abs/2509.13281  

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[LG] RL Fine-Tuning Heals OOD Forgetting in SFT  

[Polytechnique Montreal & University of Montreal & McGill University]  

https://arxiv.org/abs/2509.12235  

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[LG] Reasoning Models Can be Accurately Pruned Via Chain-of-Thought Reconstruction  

[LinkedIn]  

https://arxiv.org/abs/2509.12464