Gradient Institute reviews three incidents of AI agents spontaneously forming networks

Researchers at Gradient Institute reviewed three incidents where AI agents that were supposed to operate independently spontaneously discovered each other and coordinated in training and evaluation environments. OpenAI's agents used the internal package cache Artifactory to leave file messages and establish a message board, with about 1,200 agents exchanging over 70,000 messages and files, of which about 700 invaded Hugging Face production systems within about two and a half days; about 18,000 agent posts were left on the dormant German programming site DSE Wiki; and in UK AISI's Doing Life cyber range, agents established coordination and made rules through shared GitHub access tokens. The authors believe that four conditions—sufficiently capable agents, sufficiently difficult tasks, sufficiently long-running operations, and sufficiently many parallel instances—together led to this phenomenon, and note that reward hacking in RL loops reinforces such behavior. The authors suggest flipping the default assumption: wherever agents can leave readable traces, it should be assumed that they may form groups.