Curious on your take on this, given your domain - is the hardware the principle challenge in your opinion, or the software?

>> It will be difficult to match this scale of breadth and depth of data for physical tasks. There’s no straightforward equivalent of “just Efficient learning, generalization, and adaptability / on-the-job learning seem like requirements.

Isn’t this the idea of NVIDIA’s Isaac? Model based adaptive learning in virtual environments for robotic systems? Or is this oversold?