00:01:45 AI 炼丹术：发现模型训练的“万能公式”？

00:07:01 AI军备竞赛，弹药快打光了怎么办？

00:12:16 让 AI 学会“反思”，会发生什么？

00:16:48 AI“高考”也偏科？换个考法，学霸变学渣

00:22:08 AI的“外挂”：当你的短板，成了我的跳板

00:27:18 让AI“看人下菜碟”：下一代人工智能的效率革命

本期介绍的六篇AI前沿论文：

[LG] Scaling Collapse Reveals Universal Dynamics in Compute-Optimally Trained Neural Networks

[Google DeepMind & New York University]

https://arxiv.org/abs/2507.02119

---

[LG] Fast and Simplex: 2-Simplicial Attention in Triton

[Meta & University of Texas at Austin]

https://arxiv.org/abs/2507.02754

---

[LG] Energy-Based Transformers are Scalable Learners and Thinkers

[Amazon & UVA]

https://arxiv.org/abs/2507.02092

---

[CL] Answer Matching Outperforms Multiple Choice for Language Model Evaluation

[Max Planck Institute for Intelligent Systems & Tübingen AI Center]

https://arxiv.org/abs/2507.02856

---

[RO] MultiGen: Using Multimodal Generation in Simulation to Learn Multimodal Policies in Real

[UC Berkeley]

https://arxiv.org/abs/2507.02864

---

[LG] Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs

https://arxiv.org/abs/2507.02076

AI的效率革命：当“更巧”比“更大”更重要

AI可可AI生活