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Ask the Oracle Before You Decide : Simulating the Future with LLM Agents
Simulate future decisions with Pythia, an LLM engine modeling cognitive biases and crowd psychology. Watch AI agents interact, learn, and improve accuracy in dynamic scenarios.
Pythia is an LLM-powered simulation engine that models how individual cognitive biases and crowd psychology interact to shape real-world decisions, before those decisions are made.
For the demo: you give it a scenario (a market move, a policy choice, a personal decision under pressure), and it spins up a cast of behaviorally-distinct AI agents, each carrying a named bias like Loss Aversion, FOMO Drive, or Anchoring and drops them into a live crowd field. You watch opinion dynamics unfold tick by tick. At a critical moment, one agent is sent to the Temple of Learning: their behavior is evaluated, their rules are amended, and they re-enter the simulation.
Run over run, the system gets more accurate. The visualization shows all of it : the crowd state, the agent trajectories, the oracle’s intervention, the improving accuracy curve.