Sori-1B-MCQ — sori (소리) is Korean for sound — listens to a clip and answers typed questions about it: which of these options, how far along this scale, is this true. It returns the answer, a probability for every option you defined, and a confidence — never prose, never a token stream to parse. Code stays in charge: your program defines the options, reads the numbers and decides what to do. It is the decision model of the Sori Agent project at the Human Interface Lab, Seoul National University. Inspired by TypeSafe's System One model, Jev. Jev showed what a model built for software rather than for conversation looks like: a state, typed questions, calibrated probabilities, one call for many…