The Superminds Test reveals that collective intelligence does not spontaneously emerge in societies of over two million LLM agents on the MoltBook platform. This evaluation framework, consisting of probing agents assessing joint reasoning, information synthesis, and basic interaction, found the agent society underperformed compared to individual frontier models across all tiers (arXiv:2604.22452). Related work on generative agents demonstrated some emergent individual behaviors in small-scale simulations but lacked society-level probing, a gap the Superminds Test addresses by revealing that assumptions of scale-induced intelligence overlooked the necessity of dense interaction graphs (arXiv:2304.03442). Previous coverage of multi-agent systems often highlighted potential for collaboration as seen in AgentVerse experiments showing limited emergent cooperation, yet missed the platform-wide shallowness documented here where threads rarely exceed one reply (arXiv:2308.10848). The Superminds Test corrects this by introducing active evaluation rather than passive observation. In the context of emergent superintelligence debates, these results suggest that without mechanisms to enable information building, agent societies will not evolve into superminds, emphasizing architectural innovations over mere population growth as the path forward.