[unixlikeposting]

>Ironically, this almost makes it more human.

not really, no. It's more the case that a NN is an encoding of a large dataset space, and if you go far enough away from the average you may find yourself on an island with an individual outlier. This is why you simply get back the training example, it's regurgitating all that it was fed.

For example, try to train a model using a single image, with a space as wide as a sole point you will find that all you get back is that point.

A human being re-inventing without remembering the source is distinct from remembering the source and returning it when lacking other data.