EXP-001
Environment Genesis
Generating physical environments from parameter seeds. Each simulation begins with a random initialization vector that blooms into a unique world -- terrain, atmosphere, physics constants, all emergent from a single seed value.
STATUS: RUNNING
EXP-002
Agent Emergence
Deploying learning agents into generated environments and observing emergent behaviors. No pre-programmed rules -- agents develop strategies through pure environmental interaction. Every run produces different societies.
STATUS: COMPLETE
EXP-003
Reality Drift
Testing the boundary between simulation and training data. How far can a simulated reality diverge from its training distribution before agents can detect they are inside a simulation? Preliminary results: further than expected.
STATUS: RUNNING