
11 月 10 日 · 26 分钟
![[人人能懂] AI心智架构:从记忆、偏见到思考方式的全面升级](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)
如何让你的机器人管家,不再健忘?
你家的AI,可能有个“邪恶双胞胎”
AI:一面照见我们自己的镜子
AI训练场上的“复古”新潮流
AI的“复盘”神功:如何想得更深?
驯养AI:我们是如何让机器“猜”出你心思的?
本期介绍的几篇论文:
[RO] Enter the Mind Palace: Reasoning and Planning for Long-term Active Embodied Question Answering
[Field AI]
https://arxiv.org/abs/2507.12846
---
[CL] Jailbreak-Tuning: Models Efficiently Learn Jailbreak Susceptibility
[FAR.AI & Mila]
https://arxiv.org/abs/2507.11630
---
[CL] Emergence of Hierarchical Emotion Organization in Large Language Models
[Harvard University]
https://arxiv.org/abs/2507.10599
---
[LG] ShiQ: Bringing back Bellman to LLMs
[Cohere]
https://arxiv.org/abs/2505.11081
---
[LG] AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling
[University of Cambridge]
https://arxiv.org/abs/2507.08567
---
[LG] Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities
[Not explicitly stated, likely academic tutorial paper]
https://arxiv.org/abs/2507.13158
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心智架构:从记忆、偏见到思考方式的全面升级](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 7 月 21 日 · 29 分钟
如何让你的机器人管家,不再健忘?
你家的AI,可能有个“邪恶双胞胎”
AI:一面照见我们自己的镜子
AI训练场上的“复古”新潮流
AI的“复盘”神功:如何想得更深?
驯养AI:我们是如何让机器“猜”出你心思的?
本期介绍的几篇论文:
[RO] Enter the Mind Palace: Reasoning and Planning for Long-term Active Embodied Question Answering
[Field AI]
https://arxiv.org/abs/2507.12846
---
[CL] Jailbreak-Tuning: Models Efficiently Learn Jailbreak Susceptibility
[FAR.AI & Mila]
https://arxiv.org/abs/2507.11630
---
[CL] Emergence of Hierarchical Emotion Organization in Large Language Models
[Harvard University]
https://arxiv.org/abs/2507.10599
---
[LG] ShiQ: Bringing back Bellman to LLMs
[Cohere]
https://arxiv.org/abs/2505.11081
---
[LG] AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling
[University of Cambridge]
https://arxiv.org/abs/2507.08567
---
[LG] Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities
[Not explicitly stated, likely academic tutorial paper]
https://arxiv.org/abs/2507.13158
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