AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work asks whether model safety is preserved when an LLM is integrated in an AI-for-Science agent harness, and evaluates five agent harnesses on 50 harmful chemistry requests to show that the safety behavior of the base LLM is not durable once a harness is introduced.
This paper draws on lessons from social-science accounts of human-human collaboration and argues that human-AI systems amplify these dynamics, introducing new asymmetries that make reasoning about uncertainty harder and introduce new coordination challenges.
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