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Hidenori Tanaka

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#artificial intelligence Preprint Oct 2026

Ecology of AI Agents: Collaboration Creates a Population Threshold for Takeoff

AI agents can now conduct real-world cyberattacks, scale up capabilities with the number of agents, and collectively pursue misaligned goals to obtain rewards. Together, these factors raise the risk of a population explosion of misaligned agents: agents could compromise computers and secretly deploy additional agents,...

E. Crawley, Hidenori Tanaka · 0 citations
#artificial intelligence Preprint Sep 2026

Flag Game: A Toy Model for Mechanistic Swarm Interpretability

A statistical mechanical theory for larger populations is developed and verified that it matches the empirical phase diagram, a first step toward mechanistic swarm interpretability, a science of how the properties of individual agents and their communication give rise to emergent collective behavior.

Elizabeth Pavlova, Hidenori Tanaka · 3 citations

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