Across 50 stateless LLM agents updating predictions from locally visible peers, the study identifies synchronised, twisted, and chimera-like collective regimes, finding reasoning effort and communication topology govern different aspects of coordination
Studying N = 50 stateless LLM agents that update predictions only from locally visible peers and characterizing behavior with both global and local measures of agreement, the work identifies three collective regimes—synchronised, twisted (locally ordered but globally incoherent), and chimera-like (coherent and incoherent subpopulations coexisting); increasing reasoning effort in gpt-5-mini shifts panels from variable, often fragmented outcomes toward locally ordered twisted states, while increasing communication connectivity drives them toward global synchronisation, and low spatial heterogeneity does not guarantee global consensus—40% of trials with Delta Z below 0.03 retain a twisted configuration through the final 20 turns.