
11 月 10 日 · 26 分钟
![[人人能懂] 从“无效努力”到“学习快车道”](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)
青出于蓝:机器如何超越它的老师?
AI“学坏”实录:从小聪明到大隐患
AI大模型里的“无效努力”:我们该如何唤醒沉睡的智慧?
给AI做个“脑CT”,我们发现了什么?
AI学习的快车道:如何不让“平均”抹杀“个性”
本期介绍的几篇论文:
[LG] A Taxonomy of Transcendence
[Harvard University]
https://arxiv.org/abs/2508.17669
---
[LG] School of Reward Hacks: Hacking harmless tasks generalizes to misaligned behavior in LLMs
[Center on Long-term Risk & Truthful AI]
https://arxiv.org/abs/2508.17511
---
[LG] Attention Layers Add Into Low-Dimensional Residual Subspaces
[Shanghai Innovation Institute & Fudan University]
https://arxiv.org/abs/2508.16929
---
[LG] Unraveling the cognitive patterns of Large Language Models through module communities
[Rensselaer Polytechnic Institute & IBM Research]
https://arxiv.org/abs/2508.18192
---
[LG] Fisher-Orthogonal Projection Methods for Natural Gradient Descent with Large Batches
[University of Oxford]
https://arxiv.org/abs/2508.13898
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] 从“无效努力”到“学习快车道”](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 8 月 31 日 · 24 分钟
青出于蓝:机器如何超越它的老师?
AI“学坏”实录:从小聪明到大隐患
AI大模型里的“无效努力”:我们该如何唤醒沉睡的智慧?
给AI做个“脑CT”,我们发现了什么?
AI学习的快车道:如何不让“平均”抹杀“个性”
本期介绍的几篇论文:
[LG] A Taxonomy of Transcendence
[Harvard University]
https://arxiv.org/abs/2508.17669
---
[LG] School of Reward Hacks: Hacking harmless tasks generalizes to misaligned behavior in LLMs
[Center on Long-term Risk & Truthful AI]
https://arxiv.org/abs/2508.17511
---
[LG] Attention Layers Add Into Low-Dimensional Residual Subspaces
[Shanghai Innovation Institute & Fudan University]
https://arxiv.org/abs/2508.16929
---
[LG] Unraveling the cognitive patterns of Large Language Models through module communities
[Rensselaer Polytechnic Institute & IBM Research]
https://arxiv.org/abs/2508.18192
---
[LG] Fisher-Orthogonal Projection Methods for Natural Gradient Descent with Large Batches
[University of Oxford]
https://arxiv.org/abs/2508.13898
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