AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Modeling spatiotemporal coupling is a key challenge in building physical intelligence across scales, from microscopic to macroscopic. Existing models capture such structure broadly through physics-motivated dynamical formulations or learning-motivated architectures. The former provide stronger priors but may constrain...
It is argued that the Linear Representation Hypothesis is not one hypothesis but a family of claims distinguished by representation equivalence, and this framework clarifies how assumptions can change across metrics, reading points, and analysis stages, and is used to audit common representation quantities and recent i...
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