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Do you see the word "Supervised" there?





Do you think the data from the one doesn't apply toward the other? Is politics really enough to get people to stop believing in incremental problem solving? Can we communicate entirely in question form?

If the data from supervised driving can he used for unsupervised driving, that increases the depth of Tesla's failure to keep up with competitors like Waymo, who are doing a better job with less data.

I don't really know what you're trying to say with the politics distraction, so I guess the answer to your last question is "apparently you can't."


> If the data from supervised driving can he used for unsupervised driving

So you're unaware of the AI day presentations about their driving training pipeline. Learning about their engineering in that regard really changed my perception of the likelihood that they could solve the problem. Give it a watch: https://www.youtube.com/watch?v=ODSJsviD_SU

> failure to keep up with competitors like Waymo

Looks like each of them lead in different ways to me. Waymo leads within certain specific city limits, Tesla leads on the open road. These seem to be direct consequences of their engineering decisions. Question is which will converge on working everywhere all the time.




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