- cross-posted to:
- technology@lemmy.world
We (people in general) are dealing with two sets of crazy people, when it comes to AI:
- 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.
- 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.
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.
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.