this post was submitted on 02 Jun 2025
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[–] [email protected] 2 points 5 days ago

We (people in general) are dealing with two sets of crazy people, when it comes to AI:

  1. A crowd who overestimates AI capabilities. They often believe AI is "intelligent", AGI is coming "soon", AI will replace our jobs, the future is AI, all that babble.
  2. A crowd who believes generative models are only flash and smoke, a bubble that'll burst and leave nothing behind. A Ponzi scheme of sorts.

Both are wrong. And they're wrong in the same way: failure to see tech as tech. And you often see criticism towards #1 (it's fair!), but I'm glad to see criticism towards #2 (also fair!) popping up once in a while, like the author does.

...case in point best usage case for LLMs is

  • the task is tedious, repetitive, basic. The info equivalent of cleaning dishes.
  • the amount of errors in the output is OK for its purpose.
[–] [email protected] -1 points 5 days ago* (last edited 5 days ago) (1 children)

Yep, this mirrors the chodes on c/fuck_ai - None of them know what this stuff is capable of doing because they don't work with it. They're all caught up in this idea that it's a new hype-bubble and none of them realize it's here to stay.

[–] [email protected] 4 points 5 days ago

I mean, it is a hype bubble, just like the dotcom bubble. That doesn't mean there's nothing to it, just that a lot of the claims people are making about it are unrealistic.