In the Dreamforce policy simulator, training capability scales with allocated cluster FLOPs while verification buffers suppress systemic risk. Selecting the aggressive scaling stance pushes compute allocation to ninety-five percent, accelerating cluster capability to one hundred and eleven points. With safety verification compressed to fifteen percent, the calibrated hazard equation projects risk beyond seventy percent into the critical red corridor, triggering emergency compute throttling.