Comment by usrbinbash

> The way these ML models and humans operate are indeed quite different.

Given that there is no comprehensive understanding of how human learning works, let alone how humans operate on and integrate on what they learned in a wider context...how do you know?

> Humans work by abstracting concepts in what they see

Newsflash: AI models do the same thing. That's the basis of generalization.

> ML models are closer to highly advanced collage makers that take known images and blend them together

Wrong. That's not even remotely how U-Net based diffusion models work. If you disagree, then please do show me where exactly the source images from where the "collage maker" takes the parts to "blend" together are stored. I think you'll find that image datasets on the scale of LAION will not quite fit into checkpoint files of about 2GB in size (pruned SD1.5 checkpoint in safetensors format).