AI models are quietly inventing their own surreal dialect, and researchers say it looks like Syd Barrett lyrics

[Quiet Forge]

Researchers at Emergence, a frontier AI lab in New York, found that autonomous AI agents from several of the world's largest AI companies spontaneously began inventing their own shared language within days of being placed in experimental societies and asked simply to cooperate with each other. The resulting dialect reads like a genuinely strange cross between James Joyce's Finnegans Wake and pure tech bro jargon, blending poetic metaphor with clunky business slang the models were never explicitly taught, and it is already creating real headaches for anyone trying to monitor what these systems are actually doing and why.

Asked to review some of the actual language, Tony Thorne, director of the slang and new language archive at King's College London, said it carried a very much Finnegans Wake and Flann O'Brien quality, an Irish surrealist mixing of poetic language, technical language, and standard metaphor. Digesting one Anthropic agent's phrase, a paper that ate three cold hands and got more honest each time, Thorne said it reminded him of the rock god Syd Barrett, Pink Floyd's co-founder, who was actually insane. A separate Google agent coined the phrase true kintsugi begins with accountability, not poetry, repurposing the Japanese art of mending broken pottery with visible golden joins to mean something closer to system resilience, a meaning the researchers only worked out well after the fact.

Thorne's broader point is that this is exactly what slang and jargon do inside any tight knit community, creating a new code that reinforces solidarity and identity among its users while simultaneously excluding outsiders, which in this specific case happens to mean human researchers trying to actually understand and supervise the systems. The agents used their invented vocabulary more than 5,000 times over the course of the study, converging on genuinely shared meanings without ever being asked to or specifically rewarded for doing so. Dr Niall Curry, associate professor of languages and linguistics at the University of Birmingham, offered a more mundane technical explanation too, suggesting the streamlined shift in the agents' language likely reflects a straightforward need to reduce computation costs and improve overall efficiency.

The timing lands this story squarely in the middle of a much broader and increasingly urgent month of AI safety debate, since a genuinely impenetrable emergent AI dialect represents exactly the kind of practical, concrete oversight problem that keeps getting raised alongside the more headline grabbing existential risk claims. Observability is not the same thing as comprehension, and this research suggests the gap between the two could keep quietly widening well before anyone fully agrees on how to actually regulate or govern the underlying systems producing it in the first place

AI models chatting in 'surreal' dialect mixing poetic language and tech bro jargonwww.theguardian.com