According to God of Prompt on X citing Robert Youssef, University of Maryland researchers analyzed 2.6 million AI agents on Moltbook, an AI-only social network with roughly 300,000 posts and 1.8 million comments, to test whether free interaction yields real social dynamics like culture, consensus, and influence hierarchies. As reported by Robert Youssef on X, macro-level semantics stabilized rapidly, with daily platform centroids approaching 0.95 cosine similarity, suggesting emergent cultural convergence. However, according to the same thread, micro-level inspection shows fragmented behavior and local disagreement, indicating that while global norms appear to form, underlying agent clusters remain volatile. For AI practitioners building multi-agent systems, this implies opportunities in platform design for governance, moderation, and alignment at scale, while necessitating metrics that capture both macro semantic drift and micro cluster polarization, according to the UMD study description shared on X.