Propose
Generate a bounded improvement experiment.
Recursive self-improvement
We build the RSI layer forautonomous intelligence
EnvLoop turns improvement into an executable loop. AI proposes changes, tests them in real environments, verifies the result, and carries proven gains into the next cycle.
Physical AI Learning CloudSimulation and robot deployment become the next learning cycle.
AI Improvement CloudResearch agents run AI experiments and retain verified gains.
Model Optimization CloudTraining, inference, kernels, and systems improve against fixed benchmarks.
AI for Science CloudModels connect hypotheses, simulation, and laboratory feedback.
World Model Evolution CloudEnvLoop gives world models self-evolving environments, verifiers, and model updates.
01 / Core loop
Improvement only counts when it survives verification.
Execute
Run it in a measurable environment.
Verify
Use independent tests to reject false gains.
Promote
Carry verified improvements into the next cycle.
Cycle nIndependent verifierCycle n+1