I can't really comment on the expenditure or the general strategy of Google's robotics teams, I know they closed down every day robotics, but that seemed to be

I can't really comment on the expenditure or the general strategy of Google's robotics teams, I know they closed down every day robotics, but that seemed to be specifically about the hardware. Their software efforts still seem to be going strong, and I don't really think it's fair to say that demonstrating transfer learning in an embodied model none the less, is unambitious - nor does that seem like it's reflected in the results - but to be honest, I'm more or less a layman when it comes to this so I'll defer to you and keep what you're saying in mind. To that end, if you're still feeling up to it, maybe you could tell me what your thoughts are with efforts like this from Google: https://diffusion-rosie.github.io/ https://diffusion-rosie.github.io/ Seems to compare (somewhat) to Mimicplay, in that it is attempting to create more data for "cheap", even if it's not "real" control data.