Simulation as a lens for understanding intelligence — worlds built from first principles, evolving toward emergence.
Autonomous agents navigating state spaces — each decision branching into possible futures, selecting paths through simulated consequence.
Worlds rendered in mathematical precision — physics, economics, ecology — each a sandbox for intelligence to discover its own rules.
From simple rules, complexity blooms — patterns no programmer wrote, structures no architect designed, intelligence that taught itself.
Every connection multiplies possibility. Simulation threads weave together — a tapestry of computed futures where each node is both observer and participant.
Intelligence emerges where structure meets freedom — in the space between the rule and its consequence.