Earlier quoted context omitted.
Have a look at the post - it explains how it works. There are two models: a 7-9Hz 7B vision-language model, and a 200Hz 80M visuomotor model. The former produces a latent vector, which is then interpreted by the latter to drive the motors.
> a 7-9Hz 7B vision-language model, and a 200Hz 80M visuomotor model. huh. An interesting approach. I wonder if something like this can be used for other things as well, like "computer use" with the same concept of a "large" model handling the goals, and a "small" model handling clicking and stuff, at much higher rates, useful for games and things like that.
This is typical in real time applications. A supervisor tries to guess in which region the system is currently and then invokes the correct set of lower level algorithms.