[yogthos]

In my opinion, training through embodiment and constructing an internal world model makes it possible to do genuine reasoning about how objects behave in the physical world. We have a continuous feedback loop where we take an action, and see the result giving basis to our shared context we lean on when communicating with each other. Having context is key for being able to explain why you made a particular decision, and allows for error correction and guidance towards better decisions through conversation. This is largely what we mean by having understanding in a human sense. So, having a world model in the context of robotics is the most likely path towards creating a genuine artificial intelligence.