| - Would it contribute positively to our world if competent self driving existed? Yes, making things that people want (e.g. pay for) cheaper and better is good. - What are the various approaches to get from here to there, and what are their relative merits and risks? Offline deep learning. Merits: likely to work. Risks: crashes will occasionally happen. - Assuming some approach showed promise, how should we expose it to real world conditions to allow for validation and ongoing improvement? Gradual roll-out in initially in cities with simple conditions, then at higher volume, then in more complex conditions. - Do the technically-savvy folks on this list think that a heuristic approach (i.e. a bunch of rules written by humans) could ever succeed at effective self driving in diverse conditions? Or is the machine learning + massive data approach more likely to solve it? Or do you consider it fundamentally unsolveable? rules-based is not workable, ML will work. - What interesting moral and legal questions arise if effective self-driving becomes available? moral: none, legal: corporate liability for crashes seems pretty complex. |