If there’s been one recurring theme during the “AI” (read, language learning models) revolution, it’s that the tech sector and greedy financiers are prematurely rushing unde…
LLMs certainly hold potential, but as we’ve seen time and time again in tech over the last fifteen years, the hype and greed of unethical pitchmen has gotten way out ahead of the actual locomotive. A lot of people in “tech” are interested in money, not tech. And they’re increasingly making decisions based on how to drum up investment bucks, get press attention and bump stock, not on actually improving anything.
The result has been a ridiculous parade of rushed “AI” implementations that are focused more on cutting corners, undermining labor, or drumming up sexy headlines than improving lives. The resulting hype cycle isn’t just building unrealistic expectations and tarnishing brands, it’s often distracting many tech companies from foundational reality and more practical, meaningful ideas.
They can whine about unscrupulous pitchmen all they want, but at some point, unethical behavior goes so far above and beyond that it becomes impressive.
I hope that whoever convinced McDonald’s to agree to this crap back in 2019 got an award and an obscenely gigantic commission.
IBM has been doing (actually legitimate) business "AI" stuff with Watson forever.
They fucked up here because LLMs are at best part of an interface for the language processing portion and letting them anywhere near the actual business logic of setting up an order is insane, but partnering with IBM for "AI" isn't dumb at all.