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Part of the AI day video had a QA where Elon said "I discourage use of machine learning because it's really difficult. Unless you have to use machine learning,
by beeboop 5y ago
Part of the AI day video had a QA where Elon said "I discourage use of machine learning because it's really difficult. Unless you have to use machine learning, don't do it... 99.9% of the time you do not need it".
I'm not really familiar with machine learning and how it differs from the type of work Tesla does with self driving software. I guess I was under the assumption some form of machine learning was being used for self driving?
Anyone have some insight on what he means by this? Maybe some examples of where we see ML being used today where it doesn't need to be?
- TheDudeMan 5y agoHe didn't say they don't use it.
- sidibe 5y agoQuestioner was referring to use of AI elsewhere besides in robots and cars. He didn't see the point of using it in factories or infrastructure (they probably don't have the infrastructure complexity and scale to make it worthwhile like it is for other companies).
- beeboop 5y agoThanks, that makes more sense.
- BluSyn 5y agoI think it's also related to automation in manufacturing. I imagine Tesla gets lots of sales people trying to pitch "ML-enhanced manufacturing solution". Many repetitive tasks are better suited to a simple heuristic. In those scenarios using ML as a solution is like building a rocket to fly from SF to LA. In many cases, heuristics are both simpler and the best solution to a problem, but many companies are falling into the hype trap and using ML to solve problems where it's actually complete overkill or unnecessary.