Not just image generating systems. Basically all neural network based AIs have a tendency to fail in ways that are very brain-like. GPT-3 produces output that s

Not just image generating systems. Basically all neural network based AIs have a tendency to fail in ways that are very brain-like. GPT-3 produces output that seems to make sense as long as you aren't paying too close attention, image recognition AIs are more likely to mistake a cat for a dog than for something completely unrelated, speech recognition AIs often make very sensible seeming transcription errors, etc. Not to mention how revolutionary NNs have been in solving problems that brains find easy but machines have traditionally struggled with, and how terrible they are at things machines find easy and brains have traditionally struggled with. Maybe there's no relationship between the way NNs work and the way brains do, but the end result certainly seems to be similar.