Changing maximisation metrics one by one, you can't keep up. How do you train AI models to avoid the whole package? That's the question. Why care — why care? In Taiwan, personal computing from the 1980s: one mainframe, everyone on terminals; changing mainframe software affects many people, you can't pre/post-test everyone with surveys, so as sys admin, upgrades sacrifice some users.