
11 月 10 日 · 26 分钟
![[人人能懂] 回音室、水印破解与选择之道](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)
AI的“回音室”危机:当复印件开始复印自己
AI的“超级大脑”里,谁在干活,谁在摸鱼?
AI的“隐形纹身”:一张纸巾就能擦掉?
AI的“选择之道”:为何“条条大路通罗马”本身就是一种智慧?
AI的“开窍”秘诀:好学生为何不能太“自信”?
本期介绍的几篇论文:
[LG] ForTIFAI: Fending Off Recursive Training Induced Failure for AI Models
[UC San Diego & Stanford University]
https://arxiv.org/abs/2509.08972
---
[CL] Steering MoE LLMs via Expert (De)Activation
[University of California, Los Angeles & LMU Munich & Adobe Research]
https://arxiv.org/abs/2509.09660
---
[LG] Character-Level Perturbations Disrupt LLM Watermarks
[University of Technology Sydney & Griffith University]
https://arxiv.org/abs/2509.09112
---
[LG] An entropy formula for the Deep Linear Network
[G Menon, T Yu]
https://arxiv.org/abs/2509.09088
---
[CL] CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models
[Tencent AI Lab]
https://arxiv.org/abs/2509.09675
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] 回音室、水印破解与选择之道](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 9 月 13 日 · 27 分钟
AI的“回音室”危机:当复印件开始复印自己
AI的“超级大脑”里,谁在干活,谁在摸鱼?
AI的“隐形纹身”:一张纸巾就能擦掉?
AI的“选择之道”:为何“条条大路通罗马”本身就是一种智慧?
AI的“开窍”秘诀:好学生为何不能太“自信”?
本期介绍的几篇论文:
[LG] ForTIFAI: Fending Off Recursive Training Induced Failure for AI Models
[UC San Diego & Stanford University]
https://arxiv.org/abs/2509.08972
---
[CL] Steering MoE LLMs via Expert (De)Activation
[University of California, Los Angeles & LMU Munich & Adobe Research]
https://arxiv.org/abs/2509.09660
---
[LG] Character-Level Perturbations Disrupt LLM Watermarks
[University of Technology Sydney & Griffith University]
https://arxiv.org/abs/2509.09112
---
[LG] An entropy formula for the Deep Linear Network
[G Menon, T Yu]
https://arxiv.org/abs/2509.09088
---
[CL] CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models
[Tencent AI Lab]
https://arxiv.org/abs/2509.09675
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