Propose
Generate a bounded improvement experiment.
Recursive self-improvement
The RSIplatform.
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 AISimulation and real-world outcomes become data, evaluation, and the next training cycle.
AI for AIResearch agents propose experiments, run them, verify results, and retain the gains.
AI for ScienceModels connect hypotheses, simulation, experiments, and measured feedback.
Model OptimizationTraining, inference, kernels, and systems evolve against fixed benchmarks.
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