There are many, many confounding variables. Not all miles driven are qualitatively the same. I.e. driving 1000 miles on winding, narrow New England roads, is qu

There are many, many confounding variables. Not all miles driven are qualitatively the same. I.e. driving 1000 miles on winding, narrow New England roads, is qualitatively very different from driving 1000 miles on a grid in sunny Phoenix. The issue I have is the assumption that FSD will ever be an economically attainable goal. Basically FSD requires AGI applied to driving domain. Nobody is making investments based on an assumption that AGI is 2, 15, or 30 years away, so why should they be making investments on the assumption that FSD is closer? Even if at some point FSD is technically feasible it remains to be seen if it will be economically competitive with human drivers and if it will be actually safer. Many people enjoy driving, myself included, and many people are very safe drivers. Speaking of New England how does FSD react to a deer jumping out of dense brush 30 feet ahead of the car at night. First it has to recognize the deer as an obstruction. Then it needs to decide whether to brake and maintain line of travel or brake and try to evade the deer while maintaining control of the car. How does FSD identify black ice at night vs. wet pavement. Experienced human drivers can identify ice by the "feel." How does FSD know what branches in the road after a wind storm are safe to drive over and which require braking and navigating around? What about a limb hanging down into the road way? How does FSD know where to drive on a back road with no lines on it? How does FSD react to a plastic bag in the road? What about a rock that is similar colour and shape? Etc. Nothing about FSD is simple or close to being solved.