I don't like this whole argument of, the model never got this case correct where we as humans can see that it is clearly x or y. We might say that it is x or y with 98% confidence, but there is also cases where the model gets it correct with 98% confidence and a human gets it wrong. Does the model then have the right to claim that humans are stupid and did not understand the concept of what it was doing?