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Do the models have the ability to learn once they are installed or do they only learn back at Tesla and then can apply what they have learned when next updated?
Like if you install a version and drive on it for a month, does it get smarter during that month or not until the next update?
2. Does the knowledge learned in a given version get transferred to the next version or do they need to teach everything to the new model again?
For example version 12.x has all of this knowledge and functionality. When 13 comes out do they start off with all the knowledge from 12 or do they just build a much smarter model and then have to feed it all of the knowledge again?
You would think that the answer is yes, but why are there sometimes regressions? If the knowledge was cumulative you wouldn't expect it to get worse at skills it had already mastered.