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
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[LG] Fast and Simplex: 2-Simplicial Attention in Triton
[Meta & University of Texas at Austin]
https://arxiv.org/abs/2507.02754
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[LG] Energy-Based Transformers are Scalable Learners and Thinkers
[Amazon & UVA]
https://arxiv.org/abs/2507.02092
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[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
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[RO] MultiGen: Using Multimodal Generation in Simulation to Learn Multimodal Policies in Real
[UC Berkeley]
https://arxiv.org/abs/2507.02864
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[LG] Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs
https://arxiv.org/abs/2507.02076