On the first point it looks like Tesla's approach to fixing bugs is much easier compared to Georges approach to fix bugs which is to modify and retrain the model until there are no regressions. I don't understand how this can cover every possible scenario. I am not in to ML and Tesla's approach seems more sense to me. Can anyone in the ML field comment on why George's approach might work.
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