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This is the correct outlook on it.
Academically, artificial neural network algorithms are cool as fuck, even given their shortcomings.
Capitalist greed has weaponized them and done horrible atrocious things to "improve" them (stealing works they have no rights to in order to profit off of them, replacing humans who want to work, ruining the arts, etc.)
Using them to intellectually and cognitively poison people for all kinds of gain, including full-on politics
It's doing some pretty awesome things in the medical field as well, where experts can review it's output and make decisions based on everything else they know and are experts in
It's weird, like if experts feed AI things they know to be true, correct it when it gets it wrong, rinse and repeat. Then only use that AI for the things they trained it on, it seems to be pretty good. Whereas AI fed the entirety of human shit and corrected by middle managers, who are only experts in inflating their own ego, tends to output a lot of self-inflating bullshit.
I feel like the correct use case here is in parallel, not primary or backup.