00:00:29 AI 进阶之路：不造轮子，而是给高手装上预知未来的眼睛

00:04:38 AI进化新思路：不说人话，怎么教得会？ 

00:09:24 你的 App 突然崩了？别急，AI 程序员正在赶来修复的路上 

00:15:21 AI 也会看走眼？我们如何教它练就一双“火眼金睛” 

00:19:21 如何教AI学会“举一反三”？ 

本期介绍的五篇论文：

[CV] Back to the Features: DINO as a Foundation for Video World Models  

[Meta FAIR]  

https://arxiv.org/abs/2507.19468  

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[CL] GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning  

[UC Berkeley & Stanford University]  

https://arxiv.org/abs/2507.19457  

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[LG] Agentic Program Repair from Test Failures at Scale: A Neuro-symbolic approach with static analysis and test execution feedback  

[Meta]  

https://arxiv.org/abs/2507.18755  

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[CL] PrismRAG: Boosting RAG Factuality with Distractor Resilience and Strategized Reasoning  

[Meta Reality Labs]  

https://arxiv.org/abs/2507.18857  

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[LG] Scale-Consistent Learning for Partial Differential Equations  

[Caltech & Nvidia]  

https://arxiv.org/abs/2507.18813