> You don't need infinite datasets, they just need to be large enough and cover your domain well.
When you are talking about distinguishing noise from a signal, or truth from not-totally-truth, and the domain is sufficiently small, e.g a game like Othello or data from a corporation, then i agree with everything in your comment.
When the domain is huge, then distinguishing truth from lies/non-truth/not-totally-truth is impossible. There will not be such a high quality dataset, because everything changes over time, truth and lies are a moving target.
If we humans cannot distinguish between truth and non-truth, but the A.I. is able to, then we are talking about AGI. Then we put the machines to discover new laws of physics. I am all for it, i just don't see it happening anytime soon.
What you're talking about is by definition no longer facts but opinions. Even AGI won't be able to turn opinions into facts. But LLMs are already very good at giving opinions rather than facts thanks to alignment training.
When you are talking about distinguishing noise from a signal, or truth from not-totally-truth, and the domain is sufficiently small, e.g a game like Othello or data from a corporation, then i agree with everything in your comment.
When the domain is huge, then distinguishing truth from lies/non-truth/not-totally-truth is impossible. There will not be such a high quality dataset, because everything changes over time, truth and lies are a moving target.
If we humans cannot distinguish between truth and non-truth, but the A.I. is able to, then we are talking about AGI. Then we put the machines to discover new laws of physics. I am all for it, i just don't see it happening anytime soon.