I find arguing that a complex weighted graph has a taste is interesting.

This is not a jab, but a genuine curiosity of mine.

The roulette pockets for the model are bigger for some outputs than others. Draw a big enough black box around it and a different one around humans and it's insistinguishable.

The taste that the complex weighted graph was trained on was better for one than the other I think is the long winded way to say it