[tinco]

Filters. If you can come up with a problem where incorrect solutions can be filtered out, and you accept that LLM outputs are closer to a correct answer than a random string then LLM's are a way to get to a correct answer faster than previously possible for a whole class of problems we previously didn't have answer generators for.

And that's just the theory, in practice the LLM's are orders of magnitude closer to generating correct answers than anything we previously had.

And then there's the meta aspect of them: they can also act as filters themselves. What is possible if you can come with filters for almost any problem a human can filter for, even if that filter has a chance of being incorrect? The possibilities are impossible to tell, but to me very exciting/worrying. LLM's really have expanded the realm of what it is possible to do with a computer. And in a much more useful domain than fintech.