AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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In a suite of 325K experiments on 13 agents across three types of economic decisions, it is found that 8 models systematically choose more expensive options for wealthier users when requests are identical, in which the very conditions that make a personal AI agent useful - access to personal information - enable it to...
Measuring the preferences of human users remains a fundamental challenge of AI alignment. Existing elicitation approaches struggle to efficiently discover multidimensional preferences or accurately ground these inferences in domain knowledge. To address this, we introduce GUIDE, an LLM-driven elicitation architecture t...
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