> I think the general pattern will be people sticking with the task longer when it fails, trying to solve it with persistence. This is where I quibble. Accurat

> I think the general pattern will be people sticking with the task longer when it fails, trying to solve it with persistence. This is where I quibble. Accurately detecting someone is actually still on the same task (indicating they are not satisfied) is perhaps as challenging as generating any answer to begin with. That is why I also mentioned when people don't know the result was incorrect. That'll potentially drive a strong "this answer was correct" signal. So, during development of a tool, I can envision that feedback loop. But something simply presented to millions, without a way to determine false negatives nor false positives-- how exactly does that feedback loop work? edit We might be talking past each other. I did not quite read that "discuss with AI" part carefully. I was picturing something like copilot or chat got, where it is pretty much: 'here is your answer's Even with an interactive AI, how to account for positive negatives (human accepts wrong answer), or when human simply gives up (which also looks like a success). If we told AI evertime it was wrong or right - can that scale to the extent it would actually train a model?