It's one thing to come up with the technique; quite another to source the dataset of images on which the model will be trained, train it up, and then run it as a service for millions of users.
huge computation
train on red, blue, and yellow colors
and generate shape
I wonder what would come out in 100B parameter
training data and then 2 steps
require a lot of computation not efficient (IF it would work at all? )