Joon Sung Park, creator of generative agents and CEO of Simile, explains how foundation models trained on real human behavior can simulate people, from a 25-agent town that organized its own Valentine's Day party to 85%-plus accurate predictions of how real participants respond in surveys, behavioral games, and randomized trials.
Joon Sung Park, co-founder and CEO of Simile, traces his path from painting to the Smallville generative agents paper and explains how Simile builds behavioral foundation models and digital twins. The conversation covers why frontier models fail to reproduce irrational human behavior, the role of interviews, observational data, and randomized controlled trials, the 85% accuracy result, scaling laws for simulation, Schelling's agent-based models, the economics of simulating large populations, and the long-term vision of simulating 8 billion people to tackle problems like climate change and democratic instability.
Joon Sung Park, founder and CEO of Simile and creator of Stanford's "Smallville" generative agents study, explains how Simile is building the "GPU of intelligence" to simulate human society, diverging from frontier models that act as the "CPU of intelligence." He details Simile's approach of grounding simulations with real human behavioral data, its diverse corporate applications, and its long-term vision to create a "CERN of human society" to solve fundamental societal challenges.