[人人能懂] 从AI的“借力打力”到我们自己的“元认知”

00:00:25 高手过招：当“规划大师”遇上“绘画天才”00:04:28 AI作画：是天才创造，还是高级复印？00:08:49 AI界的“大力出奇迹”：模型越大，就越会“搜索”吗？00:13:02 你的大脑里，住着一个“项目经理”吗？00:17:55 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在小宇宙查看该单集文稿