[jongjong]

My experience with AI agents is that they don't understand nuance. Thie makes sense since they are trained on a wide range of data produced by the masses. The masses aren't good with nuance. That's why, if you put 10 experts together, they will often make worse decisions than they would have made individually.

Im terms of coding, I managed to get AI to build a simple working collaborative app but beyond a certain point, it doesn't understand nuance and it kept breaking stuff that it had fixed previously even with Claude where it kept our entire conversation context. Beyond a certain degree of completion, it was simply easier and faster to write the code myself than to tell the AI to write it because it just didn't get it, no matter how precise I was with my wording because it became like playing a game of whac-a-mole; fixed one thing, broke 2 others.

[CuriouslyC]

Your comment runs contrary to a lot of established statistics. We have demonstrated with ensemble learning that pooling the estimates of many weak learners provides best in class answers to hard problems.

You are correct that we should be using expert AIs rather than general purpose ones when possible though.