
11 月 10 日 · 26 分钟
![[人人能懂] 从AI的“借力打力”到我们自己的“元认知”](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)
高手过招:当“规划大师”遇上“绘画天才”
AI作画:是天才创造,还是高级复印?
AI界的“大力出奇迹”:模型越大,就越会“搜索”吗?
你的大脑里,住着一个“项目经理”吗?
AI养娃指南:机器如何学会“看见”世界?
本期介绍的几篇论文:
[CV] Incorporating Pre-trained Diffusion Models in Solving the Schrödinger Bridge Problem
[Tsinghua University & Southeast University & University of Science and Technology of China]
https://arxiv.org/abs/2508.18095
---
[LG] On the Edge of Memorization in Diffusion Models
[TTIC & UC Berkeley]
https://arxiv.org/abs/2508.17689
---
[LG] Retrieval Capabilities of Large Language Models Scale with Pretraining FLOPs
[Databricks Mosaic Research]
https://arxiv.org/abs/2508.17400
---
[LG] Language Models Coupled with Metacognition Can Outperform Reasoning Models
[IBM Research]
https://arxiv.org/abs/2508.17959
---
[LG] Disentangling the Factors of Convergence between Brains and Computer Vision Models
[Meta AI]
https://arxiv.org/abs/2508.18226
---
[CV] Explain Before You Answer: A Survey on Compositional Visual Reasoning
[Anonymous / Survey paper]
https://arxiv.org/abs/2508.17298
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AI的“借力打力”到我们自己的“元认知”](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 27 日 · 22 分钟
高手过招:当“规划大师”遇上“绘画天才”
AI作画:是天才创造,还是高级复印?
AI界的“大力出奇迹”:模型越大,就越会“搜索”吗?
你的大脑里,住着一个“项目经理”吗?
AI养娃指南:机器如何学会“看见”世界?
本期介绍的几篇论文:
[CV] Incorporating Pre-trained Diffusion Models in Solving the Schrödinger Bridge Problem
[Tsinghua University & Southeast University & University of Science and Technology of China]
https://arxiv.org/abs/2508.18095
---
[LG] On the Edge of Memorization in Diffusion Models
[TTIC & UC Berkeley]
https://arxiv.org/abs/2508.17689
---
[LG] Retrieval Capabilities of Large Language Models Scale with Pretraining FLOPs
[Databricks Mosaic Research]
https://arxiv.org/abs/2508.17400
---
[LG] Language Models Coupled with Metacognition Can Outperform Reasoning Models
[IBM Research]
https://arxiv.org/abs/2508.17959
---
[LG] Disentangling the Factors of Convergence between Brains and Computer Vision Models
[Meta AI]
https://arxiv.org/abs/2508.18226
---
[CV] Explain Before You Answer: A Survey on Compositional Visual Reasoning
[Anonymous / Survey paper]
https://arxiv.org/abs/2508.17298
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