00:00:36 AI“减肥”的秘密，被一个40年前的算法破解了
00:05:46 驯服AI的终极武器：不是模糊奖励，而是清晰清单
00:09:56 AI的“开窍”秘诀：如何教机器像高手一样思考？
00:14:53 给AI请个好私教的秘密
00:19:50 给AI画张图，它能看得更明白吗？
本期介绍的五篇论文：
[LG] The Geometry of LLM Quantization: GPTQ as Babai's Nearest Plane Algorithm
[ISTA & ETH Zürich]
https://arxiv.org/abs/2507.18553
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[CL] Checklists Are Better Than Reward Models For Aligning Language Models
[CMU & Apple]
https://arxiv.org/abs/2507.18624
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[LG] Revisiting LLM Reasoning via Information Bottleneck
[The University of Sydney & ByteDance]
https://arxiv.org/abs/2507.18391
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[CL] TRPrompt: Bootstrapping Query-Aware Prompt Optimization from Textual Rewards
[EPFL]
https://arxiv.org/abs/2507.18618
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[LG] Does visualization help AI understand data?
[Harvard University]
https://arxiv.org/abs/2507.18022
