I'm saying there are applications where you don't have to know! As long as the fraction incorrect is less than 50 % and you have 2:1 odds on the consequences you don't have to know which 50 % are incorrect.
Really? Then why pay for the thing in the first place. Why keep the data and make the queries if the results don't actually matter? I'm impressed that you have the ability to envision such a possibility, perhaps you can use that ability to come up with something reasonably likely as opposed to "conceptually possible".
I'm trying to think of easy examples. You're right that none obvious come to mind. I'm sure there is a sweetspot where we can make more money from cheap-but-sometimes-wrong GPT queries than paying for an analyst to be more definitively correct, but I'm tired and a bit fuzzy on the exact parameters.
I'll continue to think about it and write something up!
Hard to imagine a business model where you sell that data that is only right 60% of the time. Maybe in a world where the other best data is even less reliable.
