[人人能懂] 从异步思考、复古架构到教练式学习

这一期，我们不谈AI的“体型”，只聊它的“智商”。最新的几篇论文告诉我们，让AI变聪明的关键，可能不是堆数据，而是教它如何像项目经理一样组织思考，像学霸一样按课程表学习。我们还会发现，AI的记忆可能不是死记硬背，而是在脑中绘制地图，甚至需要一位“贴身教练”来指导它成长。准备好，一起窥探AI更聪明的大脑是如何炼成的！

00:00:31 AI也懂分工了？聪明人是怎样“外包”思考的

00:06:49 想让AI变聪明？先送它去上数学课

00:11:55 AI世界的“复古”潮流：被冷落的武功秘籍，为何突然又香了？

00:17:31 如何把学霸“掰开揉碎”，喂给一个普通模型？

00:23:54 AI的记忆之谜：它是在死记硬背，还是在脑中画地图？

本期介绍的几篇论文：

[LG] The Era of Agentic Organization: Learning to Organize with Language Models  

[Microsoft Research]  

https://arxiv.org/abs/2510.26658 

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[CL] Reasoning Curriculum: Bootstrapping Broad LLM Reasoning from Math  

[Salesforce AI Research & University of California, Los Angeles]  

https://arxiv.org/abs/2510.26143 

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[LG] Encoder-Decoder or Decoder-Only? Revisiting Encoder-Decoder Large Language Model  

[Google DeepMind]  

https://arxiv.org/abs/2510.26622 

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[CL] Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning  

[Google Cloud AI Research]  

https://arxiv.org/abs/2510.25992 

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[LG] Deep sequence models tend to memorize geometrically; it is unclear why  

[Google Research & CMU]  

https://arxiv.org/abs/2510.26745