AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work introduces Evolutionary Safety as a perspective for studying safety under persistent and recursive self-improvement, which concerns not only whether an AI system is safe at a particular moment, but how safety properties change, persist, accumulate, and propagate throughout evolution.
ZenGen, an integrated framework for measuring, internalizing, and grounding social intelligence, and Actio, a harness-controlled inference architecture that routes four typed supports into reasoning demonstrate the effectiveness of typed runtime support.
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