…if it can’t detect a courier cyclist? Or a trucker in Wisconsin is not warned from a crossing deer? Do we wonder why only 1% of vehicles have ADAS? Price, complexity, availability, etc. are factors, but one of them is lack of product market fit. Each of these problems needs solving. But if each require manually labelled data in a lengthy and costly process we are into a losing proposition. We need to solve each of these problems, but in a more holistic way that does not require manual tagging. By approaching holistic learning models, we can devise a solution only limited by the amount of data we capture.