According to [the hypothesis]... an implemented , has the necessary and sufficient means for general intelligent action. ...[A]ny system that exhibit… - Joscha Bach

We probably need to build dreaming systems... [P]art of the purpose of dreams is... similar to a... generative adversarial network. We learn certain constraints, and then it produces alternative perspectives on the same set of constraints, so you can recognize it under different circumstances. Maybe we have flying dreams as children because we recreate the objects that we know, the maps that we know, from different perspectives, which also means from the bird's-eye perspective.

If we want to understand music we have to go beyond understanding sound. We have to understand the transformations that sound can have if you play a different pitch. We have to arrange the sound in a sequencer that gives you rhythms, and so on, and then we want to identify some kind of musical grammar that we can use to... control the sequencer. So we have stacked structures that simulate the world. ...If you want to model a world of music you need to have the lowest level of the precepts, then the higher levels of mental simulations, which give the sequences... and the grammars of music... [B]eyond this you have the conceptual landscape that you can use to describe the different styles of music. ...[I]f you go up in the hierarchy, you get to more and more abstract models, more and more conceptual models, and more and more analytic models. ...[T]hese are causal models...

Robots are... not going to be the singular route to achieving AGI, and successfully building robots that are performing well in a physical environment does not necessarily engender the solution of the problems of AGI. Whether robotics or virtual agents will be first to succeed in the quest of achieving AGI remains an open question.