
11 月 10 日 · 26 分钟
![[人人能懂] 从“野蛮生长”到“精准调校”:AI幕后的五位“工匠”](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界的乐高革命:如何让你的模型“活”在当下
AI的“手术刀”:我们如何精准“切除”它的坏心思?
机器人学功夫:抄近道,还是练笨功?
AI怎么当学徒:让机器学会看“领导脸色”
给AI动个“小手术”,治好它的“选择困难症”
本期介绍的几篇论文:
[LG] SequenceLayers: Sequence Processing and Streaming Neural Networks Made Easy
[Google DeepMind]
https://arxiv.org/abs/2507.23292
---
[LG] The Geometry of Harmfulness in LLMs through Subconcept Probing
[Algoverse AI Research]
https://arxiv.org/abs/2507.21141
---
[LG] Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training
[The University of Tokyo]
https://arxiv.org/abs/2507.21452
---
[LG] NPO: Learning Alignment and Meta-Alignment through Structured Human Feedback
[Microsoft & Amrita Vishwa Vidyapeetham]
https://arxiv.org/abs/2507.21131
---
[LG] TokenBlowUp: Resolving Representational Singularities in LLM Token Spaces via Monoidal Transformations
[University of Washington]
https://arxiv.org/abs/2507.19747
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“野蛮生长”到“精准调校”:AI幕后的五位“工匠”](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 4 日 · 21 分钟
AI界的乐高革命:如何让你的模型“活”在当下
AI的“手术刀”:我们如何精准“切除”它的坏心思?
机器人学功夫:抄近道,还是练笨功?
AI怎么当学徒:让机器学会看“领导脸色”
给AI动个“小手术”,治好它的“选择困难症”
本期介绍的几篇论文:
[LG] SequenceLayers: Sequence Processing and Streaming Neural Networks Made Easy
[Google DeepMind]
https://arxiv.org/abs/2507.23292
---
[LG] The Geometry of Harmfulness in LLMs through Subconcept Probing
[Algoverse AI Research]
https://arxiv.org/abs/2507.21141
---
[LG] Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training
[The University of Tokyo]
https://arxiv.org/abs/2507.21452
---
[LG] NPO: Learning Alignment and Meta-Alignment through Structured Human Feedback
[Microsoft & Amrita Vishwa Vidyapeetham]
https://arxiv.org/abs/2507.21131
---
[LG] TokenBlowUp: Resolving Representational Singularities in LLM Token Spaces via Monoidal Transformations
[University of Washington]
https://arxiv.org/abs/2507.19747
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