Season 2 · Episode 1407
Can One Million LLMs Predict the Next Global Crisis?
Discover how an undergraduate student built a viral simulation of one million AI agents to predict social behavior and policy outcomes.
My Weird Prompts · Daniel Rosehill
March 20, 202625m 23s
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Show Notes
In this episode, we explore the revolutionary world of MiroFish, a viral open-source engine capable of simulating one million autonomous AI agents. Built by an undergraduate student using "vibe coding," this project is transforming how we understand social dynamics, polarization, and geopolitical wargaming. We dive deep into the technical architecture—from the OASIS framework to Neo4j graph databases—and discuss how these LLM-powered agents with distinct "personalities" and long-term "memories" can predict 90-day sentiment trajectories for real-world events. From analyzing potential conflicts in the Middle East to observing digital uprisings, MiroFish represents a massive shift from traditional rule-based modeling to emergent, agentic intelligence. We discuss the implications for military planners, the risks of model bias, and why the barrier to high-fidelity social simulation has just collapsed. This is a look at the future of predictive modeling where a million digital experts replace human guesswork.