[人人能懂] 解锁AI新维度：思考、行动、创造、自知

00:00:30 AI界的“学霸”是怎么炼成的？

00:04:45 你的下一个AI，为什么必须是个“行动派”？

00:08:35 AI当上帝：从零开始创造一门语言

00:13:09 如何给AI大模型“摸骨”，看透它的知识边界？

本期介绍的四篇论文：

[CL] UR²: Unify RAG and Reasoning through Reinforcement Learning  

[Tsinghua University & Hebei University of Economics and Business]  

https://arxiv.org/abs/2508.06165 

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[CL] GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models  

[Zhipu AI & Tsinghua University]  

https://arxiv.org/abs/2508.06471 

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[CL] ConlangCrafter: Constructing Languages with a Multi-Hop LLM Pipeline  

[Tel Aviv University & UC Berkeley]  

https://arxiv.org/abs/2508.06094 

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[CL] Efficient Knowledge Probing of Large Language Models by Adapting Pre-trained Embeddings  

[Georgia Institute of Technology & MIT]  

https://arxiv.org/abs/2508.06030