Comment on ChatGPT is losing some of its hype, as traffic falls for the third month in a row
ribboo@lemm.ee 1 year agoIt’s just very quick at doing simple things you already could do - or doing things that you’d need to think about for a couple of minutes.
I wouldn’t trust it to do things I couldn’t achieve. But for stuff I could, it’s often much quicker. And I’m well equipped to check what it’s doing myself.
Prandom_returns@lemm.ee 1 year ago
A parrot can generate sentences with a 100% correct and proficient outcome, but it’s just using sounds their owner taught them.
Garbage in, garbage out.
Even the smartest, most educated people are never 100% sure of anything, just because there’s always nuances.
These engines are fed information that is written witg 100% surety, completely devoid of nuance. These engines will not produce “answers to questions” that are correct, because “correct” is fluid.
ribboo@lemm.ee 1 year ago
Meh.
That’s a very fallibilistic viewpoint. There are lots of certainties that can be answered correctly.
Prandom_returns@lemm.ee 1 year ago
There are fields and fields in science that work on things that are “certainties”.
If you’re talking about simple stuff like “what is the first letter in the english alphabet”, then sure. But many people, even in this thread, say they use the engines for hours, to get answers, guide them, and discuss.
It is a parrot on steroids, but even a parrot has knowledge. LLMs have 0% knowledge.
ribboo@lemm.ee 1 year ago
Well, we are back at my earlier point. There is no need for knowledge if the statistical models are good enough.
A weather forecast does not have any knowledge whatsoever. It has data and statistical models. No one goes around dismissing them due to them not have any knowledge. Sure, we can be open to the fact that the statistical models are not perfect. But the models have gotten so good that they are used in people’s everyday life with rather high degree of certainty, they are used for hurricane warnings and whatnot.
Your map app has no knowledge either. But it’s still amazing for knowing with a high degree of certainty how much time you’ll need from place A to B. We could argue it’s just a parrot on steroid, that has been fed with billions of data points with some statistics on top, and say that it doesn’t know anything. But it’s such a useless point, because knowledge is not necessary if the data and statistical models are sound enough.