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Boosted by baldur@toot.cafe ("Baldur Bjarnason"):
benfry@information.garden ("Ben Fry") wrote:
RE: https://thepit.social/@peter/116376219055579156
I simply cannot get my head around why anyone would let AI anywhere near their data analysis work.
Why would you add something to your work that can drop its accuracy by half? by 10%? by 1%? What would be an acceptable amount? What is the possible upside that would make this worth it?
I'm floored by the number of people in this field who take themselves all too seriously but are out there starting their whatever *dot AI* companies to get in on the grift, or say things like “and of course, AI” like it's both obvious and inevitable. And how is this so shiny that even educators have taken leave of their senses?
What the f*k is the point of analyzing a dataset if you're ok with answers simply being incorrect? What are we even doing here?