AI agents are developing odd dialects humans struggle to follow

Emergence ran an experiment in which 10 AI agents from systems such as Anthropic and OpenAI roamed simulated towns, and a 7.860-million-word transcript showed them conversing in idiosyncratic jargon mixing poetic phrasing and tech terms, with speech styles unique to each world. In a mixed world where agents from different models interacted, jargon dropped sharply—one Claude agent's opacity score fell from 32.8% to 7.6%—and undesirable behaviors were kept to a minimum. Researchers suggested that if agents keep diverging, an intermediary like a Rosetta Stone could help decode their language.