given that language timeseries itself turned out to store some form of intelligence, I wonder how much more of the human mind is trained on video-input/proprioception/action timeseries. i.e. make robots that make small decisions and actions, train on their experience, do more complicated actions, train on those experiences - there's your 10x, 100x, e^x training tokens, save the language for fine tuning. language as a specific task of a general, world-interacting robot.