AIs are definitely not “good enough” to give correct answers to science questions. I’ve seen lots of other incorrect answers before seeing this one. While it was easy to spot that this answer is incorrect, how many incorrect answers are not obvious?
Then go ahead and put “science questions” into one of the areas that you don’t use LLMs for. That doesn’t make them useless in general.
I would say that a more precise and specific restriction would be “they’re not good at questions involving numbers.” That’s narrower than “science questions” in general, they’re still pretty good at dealing with the concepts involved. LLMs aren’t good at math so don’t use them for math.
AI doesn’t seem to be good at anything in which there is a right answer and a wrong answer. It works best for things where there are no right/wrong answers.
AIs are definitely not “good enough” to give correct answers to science questions. I’ve seen lots of other incorrect answers before seeing this one. While it was easy to spot that this answer is incorrect, how many incorrect answers are not obvious?
Then go ahead and put “science questions” into one of the areas that you don’t use LLMs for. That doesn’t make them useless in general.
I would say that a more precise and specific restriction would be “they’re not good at questions involving numbers.” That’s narrower than “science questions” in general, they’re still pretty good at dealing with the concepts involved. LLMs aren’t good at math so don’t use them for math.
AI doesn’t seem to be good at anything in which there is a right answer and a wrong answer. It works best for things where there are no right/wrong answers.