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That's not the same. Elon thinks if he gets the right training data he gets rid of the dangerous 1% of errors. But that is not the case if it's a general probl
by croes 2y ago
That's not the same.
Elon thinks if he gets the right training data he gets rid of the dangerous 1% of errors.
But that is not the case if it's a general problem of the used AI.
- forgot-im-old 2y agoRight, getting more corner cases training data won't solve an architecture problem. AI in general quickly impresses when it's mostly right but improving from there is the challenge.
- throwaway7ahgb 2y agoWhat are you using for "AI"? AI is a buzzword, unless you know specifically how they are using it, you can't make this claim. Many marketing teams are just using AI when it is really ML doing the work, or it could be both.
- croes 2y agoThere is no claim just a fact. More data won't help if the problem is the tools as such. Grandparent said the hard part is getting rid of the last 1%, parent claimed Elon said the dame when he said 99.99% of the trait data is useless. But it's not the same. Elon thinks he just needs the right data to solve the problem but it could be impossible even if he gets the data because of the limitations of the used type of AI. If you need a screwdriver but only have a hammer more nails won't help. AI is here used by me as an umbrella term for computer decision systems.