[dylan604]

So how is that different than motion estimation as it currently stands. That at least sees where pixels are and then where they will be. So instead of storing all of that data, just store where they start and then end and then tween the diff. Isn't that what this "new" ML you just describe does but "different" by slapping "trained ML/AI" to it?

[adgjlsfhk1]

the difference is that the better you can predict the motion, the less data you have to store, and ML models are much better than hand tuned heuristics at predicting motion. It's no different than the recent use of ML for chess programs. The search techniques remain pretty similar, but neural networks are often much better at evaluation of objective criteria than hand-coded heuristics.