AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Alarming misalignment in DR agents is demonstrated and underscore the urgent need for tailored alignment techniques: both the research role assignment and the multi-step execution mechanism weaken alignment of the base LLM, leading to severe safety breaches.
It is shown that reasoning-based guardrails are necessary but not sufficient and must be paired with robust triggering mechanisms and stronger base-model alignment, and develops four simple yet effective red-teaming methods that systematically subvert different stages of the guardrails.
Evaluations of command-issuing agents should report the model configuration, generation contract, execution path, operating point, and final-state validator rather than treat a matched score as an intrinsic model property.
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