Truth Engine – manufacturing ground truth without humans in the loop

Foundation models are fundamentally capped by imitating historical human data. RL hits a wall because most real frontiers lack deterministic verification oracles. What if the system could continuously manufacture its own ground-truth reality? Core loop: An environment synthesizer generates novel closed-loop micro-worlds (VMs, protocol simulators, formal puzzle spaces) bounded by mathematical invariants. A frontier solver explores them with no human demonstrations — using deep tree search + counterfactual reasoning. Candidates only pass through non-negotiable deterministic verifiers (theorem provers, model checkers, fuzzers). Proven artifacts get distilled into the base model, raising its permanent baseline. The synthesizer immediately creates harder multi-hop problems. This creates an open-ended compounding flywheel that can in principle go beyond the boundary of human knowledge. I put together a clean product analysis + results dashboard for v1 thinking: https://truth.freebuff.app/ Would love critical feedback — especially on what the narrowest viable first loop should be, and where the biggest technical risks are.