AI agents develop emergent language, complicating human oversight

A 16-day study of GPT, Gemini, and Claude models observed the emergence of internal codes and expressions that researchers could not interpret, indicating a shift toward opaque communication between AI agents. This development raises concerns about the limits of human supervision and interpretability in advanced AI systems, though the study's methodology and generalizability remain unclear.