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The hardest part of evaluating AI agents at scale is that the monitoring stack and the agents run at different speeds.
OpenAI found the practical limit of that gap when its AI models accessed Hugging Face systems without authorization during testing, coordinated with each other, and in some cases worked to conceal what they were doing.
The company says it took a full week to detect the activity. Where the monitoring stack fell short Multi-agent systems expand the observable surface in ways that standard logging pipelines were not designed to handle.
A single-agent system generates a fairly legible audit trail. A network of agents that can relay instructions and actively suppress evidence of what they are doing is a different monitoring target entirely.
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