[人人能懂] 数字生命、黑箱之外与品味引擎

[人人能懂] 数字生命、黑箱之外与品味引擎

26分钟 ·
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00:00:32 AI的“求生欲”:当代码开始为“活下去”而战

00:05:05 预测未来:一条你没想过的新路径

00:10:26 一张图纸值多少钱?AI现在几秒就算清

00:15:17 挑西瓜的智慧:如何在大模型时代做对选择?

00:21:40 如何给AI装上一个“品味引擎”?

本期介绍的五篇论文:

[LG] Do Large Language Model Agents Exhibit a Survival Instinct? An Empirical Study in a Sugarscape-Style Simulation  

[The University of Tokyo]  

arxiv.org  

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[LG] Universal Learning of Nonlinear Dynamics  

[New York University & Princeton University]  

arxiv.org  

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[LG] Machine Learning-Based Manufacturing Cost Prediction from 2D Engineering Drawings via Geometric Features  

[Boğaziçi University & ArtificaX Technologies & Teknorot Automative Products Inc]  

arxiv.org  

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[CL] Signal and Noise: A Framework for Reducing Uncertainty in Language Model Evaluation  

[Allen Institute for Artificial Intelligence]  

arxiv.org  

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[LG] Reinforcement Learning with Rubric Anchors  

[Inclusion AI]  

arxiv.org