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> feed more data in the machine learning pot, stir it, and see what comes out.

Very reductive and dismissive way of describing what they are doing.

Do you have a better explanation for the fact that each release seems to fix a few things that used to not work, and break a few things that used to work fine (like "not deciding there's an object right in front of the car when there isn't")?

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