cross-posted from: https://lemmy.world/post/44699253
This is clearly a sign that the product failed to draw in enough customers and its viability was overhyped.
Hopefully, it is the start of the AI bubble bursting.
cross-posted from: https://lemmy.world/post/44699253
This is clearly a sign that the product failed to draw in enough customers and its viability was overhyped.
Hopefully, it is the start of the AI bubble bursting.
Cool anecdote. Every time we actually see real data, though, the numbers don’t reflect much in the way of productivity gains or increased efficiency or better output. People say that LLMs are useful because it feels useful, but we aren’t seeing actual usefulness. The most recent study out of Duke University observes “a productivity paradox, in which perceived productivity gains are larger than measured productivity gains, likely reflecting a delay in revenue realizations.”
A delay. Sure.
I really appreciate your dismissive, arrogant tone. Your casual dismissing of my anecdote really added to how you provided even less substance to support your point.
But hey, it got you those “supporting the echo chamber by dunking on dissent” up votes, and that’s what we’re all here for, right?
I directly quoted a study from Duke University, how is that “even less substance” that your anecdote?