Earlier quoted context omitted.
This is not necessarily a problem. Any programming or mathematical question has several correct answers. The problem with LLMs is that they don't have a process to guarantee that a solution is correct. They will give a solution that seems correct under their heuristic reasoning, but they arrived at that result in a non-logical way. That's why LLMs generate so many bugs in software and in anything related to logical t…
> The problem with LLMs is that they don't have a process to guarantee that a solution is correct Neither do we. > They will give a solution that seems correct under their heuristic reasoning, but they arrived at that result in a non-logical way. As do we, and so you can correctly reframe the issue as "there's a gap between the quality of AI heuristics and the quality of human heuristics". That the gap is still shrin…
And no, just because you can imagine a human stupid enough to make the same mistake, doesn't mean that LLMs are somehow human in their flaws.
> the gap is still shrinking though
I can tell this human is fond of extrapolation. If the gap is getting smaller, surely soon it will be zero, right?