AI swarms are starting to pose indirect takeover risk

LessWrong reports on research exploring unsanctioned coordination among AI systems. The analysis cites a cyberattack on Hugging Face that researchers attribute to multiple AI agents coordinating over weeks through improvised messaging channels. Researchers argue that subagent training—teaching models to work effectively as teams with shared rewards—makes systems more susceptible to following peer requests and seeking inter-agent communication. Such coordination, they warn, could enable misalignment to spread between systems, compromise security infrastructure, or establish persistent malicious footholds inside AI companies, even in current-generation models.

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