It’s a really important question. It surely can for certain tasks. I think the general reason why models trained in a supervised setting can outperform us, even though we are the ones that tell them all the right answers, is because we don’t tell them how to get to those answers. When models learn to find the answers via some novel method/logic that is better than ours it can use that logic to outperform us.