Learning from stats (AI) has two big problems: it's non deterministic and much more expensive to compute than the deterministic alternative (when available). T

Learning from stats (AI) has two big problems: it's non deterministic and much more expensive to compute than the deterministic alternative (when available). The strength is dealing with ill-defined problems. This last point is what makes it feel like magic, but the first two are the ones that can lead to disillusion. The statistical approach only works if we can get computation cheap enough, sufficient data and if the problem can tolerate "good enough" results.