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从“战略指纹”到“解耦赋分”:AI的非技术性进化

00:01:29 AI的“人设”:谷歌“腹黑”,OpenAI“傻白甜”?

00:06:09 给AI“减肥餐”:为什么数据越多,模型可能越笨?

00:10:32 AI训练场上的新策略:先当“神算子”,再做“阅读家”

00:14:53 功劳簿到底该怎么写?

今天介绍的四篇论文:

[LG] Strategic Intelligence in Large Language Models: Evidence from evolutionary Game Theory

K Payne, B Alloui-Cros

[King’s College London & University of Oxford]

https://arxiv.org/abs/2507.02618

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[LG] Data Uniformity Improves Training Efficiency and More, with a Convergence Framework Beyond the NTK Regime

Y Wang, S Gu

[Johns Hopkins University & UC Berkeley]

https://arxiv.org/abs/2506.24120

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[CL] Should We Still Pretrain Encoders with Masked Language…

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