This is important, even though the Twitter part is useless. Here's the paper, "Revisiting Feature Prediction for Learning Visual Representations from Video"[1]
A big problem with machine learning so far has been the lack of some underlying, more abstract model of the subject matter. I don't understand much of this, but apparently something called "representation", a purely mathematical concept, is able to help with this.[2] This turns some kinds of abstract problems into linear algebra problems, which means matrix operations, the things GPUs do so well, help.
Code is available, from links in [2].
Would someone comment on this, please. Is this the beginning of a huge breakthrough? One where, instead of working in text token space or image pixel space, it's possible to work in an automatically generated more abstract space?
[1] https://scontent-sjc3-1.xx.fbcdn.net/v/t39.2365-6/427986745_...