In complex social systems, a minor policy adjustment or a viral social media post can trigger a butterfly effect of cascading consequences. Traditional analytical models, often reliant on static assumptions, struggle to capture this dynamic evolution. So, how can we truly foresee the trajectory of complex systems? Today, we are pulling back the curtain on the core technical architecture of WorldSim - AI Parallel World Simulation, exploring how it leverages million-scale AI agents to construct a parallel world and predict event evolution through large-scale emergent simulation. Core Tech 1: Injecting "Souls" into Million-Scale Agents from Real Data The foundational pillar of WorldSim is its robust multi-agent system. In conventional simulations, individuals are often reduced to nodes following rigid rules. In WorldSim, its world-building capability enables the system to automatically generate a parallel society ranging from thousands to millions of agents derived from real data.…