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cs.MA2026
Draining the Energy Commons: Self-Defeating Over-Appropriation as a Coordination Failure in Agentic LLM Collectives
Marcantonio Bracale Syrnikov, Marcantonio Bracale Syrnicov, Federico Pierucci +5
LLMs are increasingly deployed as agents that plan, use tools, and act over time. When they share persistent resources, such as compute pools or energy reserves, decisions by one a…
cs.MA2025
Beyond Single-Agent Safety: A Taxonomy of Risks in LLM-to-LLM Interactions
Piercosma Bisconti, Marcello Galisai, Federico Pierucci +2
This paper examines why safety mechanisms designed for human-model interaction do not scale to environments where large language models (LLMs) interact with each other. Most curren…