It’s even worse that someone actually did a study instead of simply acknowledging or realizing that ChatGPT is happy to just make stuff up.
Sure, the world should just trust preconceptions instead of doing science to check our beliefs. That worked great for tens of thousands of years of prehistory.
Why the hell are people down voting you?
This is absolutely correct. We need to do the science. Always. Doesn’t matter what the theory says. Doesn’t matter that our guess is probably correct.
Plus, all these studies tell us much more than just the conclusion.
“After an extensive three-year study, I have discovered that touching a hot element with one’s bare hand does, in fact, hurt.”
“That seems like it was unnecessary…”
“Do U even science bro?!”
Not everything automatically deserves a study. Were there any non-rando people out there claiming that ChatGPT could totally generate legit cancer treatment plans that people could then follow?
It’s not even a preconception, it’s willful ignorance, the website itself tells you multiple times that it is not accurate.
The bottom of every chat has this text: “Free Research Preview. ChatGPT may produce inaccurate information about people, places, or facts. ChatGPT August 3 Version”
And when you first use it, a modal pops up explaining the same thing.
zeppo@lemmy.world 1 year ago
It’s not merely a preconception. It’s a rather obvious and well-known limitation of these systems. What I am decrying is that some people, from apparent ignorance, think things like “ChatGPT can give a reliable cancer treatment plan!” or “here, I’ll have it write a legal brief and not even check it for accuracy”. But sure, I agree with you, minus the needless sarcasm. It’s useful to prove or disprove even absurd hypotheses.
adeoxymus@lemmy.world 1 year ago
I’d say that a measurement always trumps arguments. At least you know how accurate they are, this statement cannot follow from reason:
zeppo@lemmy.world 1 year ago
That’s useful. It’s also good to note that the information the agent can relay depends heavily on the data used to train the model, so it could change.