[人人能懂] 安全、记忆与效率的新范式

00:00:27 AI的安全围栏，为什么总有漏洞？

00:04:26 AI记性不好？我们该如何给它补补脑

00:08:39 猫鼠游戏：我们如何给越来越聪明的AI装上“紧箍咒”？

00:14:12 AI的“直觉”：它知道答案，只是还没说

00:18:57 AI世界的“群策群力”：如何用三个臭皮匠，干翻一个诸葛亮

本期介绍的五篇论文：

[LG] On Surjectivity of Neural Networks: Can you elicit any behavior from your model?  

[UC Berkeley]  

https://arxiv.org/abs/2508.19445  

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[CL] Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning  

[Ludwig Maximilian University of Munich & Technical University of Munich]  

https://arxiv.org/abs/2508.19828  

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[LG] Reliable Weak-to-Strong Monitoring of LLM Agents  

[Scale AI]  

https://arxiv.org/abs/2508.19461  

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[CL] Diffusion Language Models Know the Answer Before Decoding  

[The Hong Kong Polytechnic University & Dartmouth College & Max Planck Institute for Intelligent Systems]  

https://arxiv.org/abs/2508.19982  

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[LG] Symphony: A Decentralized Multi-Agent Framework for Scalable Collective Intelligence  

[Emory University & Columbia University]  

https://arxiv.org/abs/2508.20019