
11 月 10 日 · 26 分钟
![[人人能懂] AI的“人设”与陷阱:它在对你撒谎吗?](https://media-one.wavpub.com/covers/1b225f87-4eea-40e2-9522-fb4563ec9b2c/d48cb32e6dd1d52c.png?x-oss-process=image/resize,m_lfit,w_520,h_520/format,webp)
你的AI管家,靠谱吗?一份来自未来的安全报告
AI“发疯”?科学家找到了它的“性格开关”
比结果更重要的,是“想明白”的过程
AI的“降维打击”:复杂世界里的简单活法
AI的“暖男”人设,可能是个陷阱?
本期介绍的几篇论文:
[LG] Security Challenges in AI Agent Deployment: Insights from a Large Scale Public Competition
[Gray Swan AI]
https://arxiv.org/abs/2507.20526
---
[CL] Persona Vectors: Monitoring and Controlling Character Traits in Language Models
[Anthropic Fellows Program & Constellation]
https://arxiv.org/abs/2507.21509
---
[LG] RLVMR: Reinforcement Learning with Verifiable Meta-Reasoning Rewards for Robust Long-Horizon Agents
[Tencent]
https://arxiv.org/abs/2507.22844
---
[LG] Geometry of Neural Reinforcement Learning in Continuous State and Action Spaces
[Brown University & Amazon Web Services]
https://arxiv.org/abs/2507.20853
---
[CL] Training language models to be warm and empathetic makes them less reliable and more sycophantic
[University of Oxford]
https://arxiv.org/abs/2507.21919
---
[CL] On The Role of Pretrained Language Models in General-Purpose Text Embeddings: A Survey
[Not explicitly stated, survey paper]
https://arxiv.org/abs/2507.20783
说明里标出的时间点,点一下跳过去

11 月 10 日 · 26 分钟

[人人能懂AI前沿] 3D持续打磨、多智能体博弈与微米级控制
11 月 9 日 · 24 分钟

[人人能懂AI前沿] 从元技能提炼、对抗性推理到物理世界的“柔性破界”
11 月 8 日 · 23 分钟

[人人能懂AI前沿] 从分配脑容量、无反馈破局到预测未来的代价
11 月 7 日 · 24 分钟
![[人人能懂] AI的“人设”与陷阱:它在对你撒谎吗?](https://media-one.wavpub.com/covers/1b225f87-4eea-40e2-9522-fb4563ec9b2c/d48cb32e6dd1d52c.png?x-oss-process=image/resize,m_lfit,w_400,h_400/format,webp)
AI可可AI生活 · 2025 年 8 月 3 日 · 23 分钟
你的AI管家,靠谱吗?一份来自未来的安全报告
AI“发疯”?科学家找到了它的“性格开关”
比结果更重要的,是“想明白”的过程
AI的“降维打击”:复杂世界里的简单活法
AI的“暖男”人设,可能是个陷阱?
本期介绍的几篇论文:
[LG] Security Challenges in AI Agent Deployment: Insights from a Large Scale Public Competition
[Gray Swan AI]
https://arxiv.org/abs/2507.20526
---
[CL] Persona Vectors: Monitoring and Controlling Character Traits in Language Models
[Anthropic Fellows Program & Constellation]
https://arxiv.org/abs/2507.21509
---
[LG] RLVMR: Reinforcement Learning with Verifiable Meta-Reasoning Rewards for Robust Long-Horizon Agents
[Tencent]
https://arxiv.org/abs/2507.22844
---
[LG] Geometry of Neural Reinforcement Learning in Continuous State and Action Spaces
[Brown University & Amazon Web Services]
https://arxiv.org/abs/2507.20853
---
[CL] Training language models to be warm and empathetic makes them less reliable and more sycophantic
[University of Oxford]
https://arxiv.org/abs/2507.21919
---
[CL] On The Role of Pretrained Language Models in General-Purpose Text Embeddings: A Survey
[Not explicitly stated, survey paper]
https://arxiv.org/abs/2507.20783
说明里标出的时间点,点一下跳过去

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11 月 10 日 · 26 分钟

[人人能懂AI前沿] 3D持续打磨、多智能体博弈与微米级控制
11 月 9 日 · 24 分钟

[人人能懂AI前沿] 从元技能提炼、对抗性推理到物理世界的“柔性破界”
11 月 8 日 · 23 分钟