拉开AI的魔法幕布：后台的巧思与匠心

00:01:26 AI的“心里话”，为什么也可能是装出来的？ 

00:06:38 AI的“记忆力”，如何才能赶上一本小说？ 

00:12:26 AI陪练：笨功夫如何“点化”天才？ 

00:16:27 AI搞装修：如何盖一座又高又省钱的“摩天楼”？ 

00:20:34 小模型，大智慧：AI的“学徒”进化论 

本期介绍的五篇论文：

[LG] Chain-of-Thought Is Not Explainability

[Oxford & WhiteBox]

https://arxiv.org/abs/2025.02

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[LG] Arctic Long Sequence Training: Scalable And Efficient Training For Multi-Million Token Sequences

[Snowflake AI Research]

https://arxiv.org/abs/2506.13996

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[CL] ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models

[NVIDIA]

https://arxiv.org/abs/2505.24864

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[LG] Don't be lazy: CompleteP enables compute-efficient deep transformers

[Cerebras Systems & ETH Zurich]

https://arxiv.org/abs/2505.01618

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[CL] Distilling LLM Agent into Small Models with Retrieval and Code Tools

[KAIST & KRAFTON]

https://arxiv.org/abs/2505.17612