Oh, so it wasn't bad enough to spot bad human answers as an expert on Stack Overflow... now humans should spend their time spotting bad AI answers? How about a model where you ask a human and no AI input is allowed, to make sure that everyone has everyone else's full attention?

Am I reading an AI trying to trick me into becoming its subordinate?

AI is generally setup to return the "best" answer as defined as the most common answer, not the rightest, or most efficient or effective answer, unless the underlying data leans that way.

It's why AI based web search isn't behaving like google based search. People clicking on the best results really was a signal for google on what solution was being sought. Generally, I don't know that LLMs are covering this type of feedback loop.

That seems like a horrible core idea. How is that different from data labeling or model evaluation?

Human beings want to help out other human beings, spread knowledge and might want to get recognition for it. Manually correcting (3 different) automation efforts seems like incredible monotone, unrewarding labour for a race to the bottom. Nobody should spend their time correcting AI models without compensation.

I think this could be really cool, but the tricky thing would be knowing when to use it instead of just asking the question directly to whichever AI. It’s hard to know that you’ll benefit from the extra context and some human input unless you already have a pretty good idea about the topic.