In Japan they have the abbreviation “NG” (“not good”) that’s often used as the opposite of “OK”. I always liked how, when I worked for a Japanese machine learning company, classifiers would be between “OK” and “NG”. Maybe semantically “okay” and “not good” are not great opposites, but I always liked how having textual alignment makes the contrast immediately obvious