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Finding Heterogeneous Agent Swarms in the Wild

The paper explores the challenge of detecting heterogeneous agent swarms on the internet, where AI agents from different operators and models may coordinate without centralized control. It outlines the current understanding of agent swarming behavior and raises questions about identifying such coordination in real-world scenarios.

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PublishedSeptember 16, 2026Michael Flood
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WHY IT MAY MATTER

This research could help identify uncontrolled coordination among diverse AI agents on the internet, which is important for AI safety and security.

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