The GNW seems like it can only broadcast “simple” or “small” things. … Something like a hypothesis in the PP paradigm seems like too big and complex a thing to be “sent” on the GNW.
My picture is: the GNW can broadcast everything that you have ever consciously thought about. This is an awfully big space. And it is a space of generative models (a.k.a. hypotheses).
The GNW is at the top of the (loose) hierarchy: the GNW sends predictions down to the lower-level regions of the neocortex, which in turn send prediction errors back to the GNW.
If, say, some particular upcoming input is expected to be important, then GNW can learn to build a generative model where the prediction of that input has a high confidence attached to it. That will bias the subsequent behavior of the system towards whatever models tend to be driven by the prediction error coming from that input. Thus we build serial computers out of our parallel minds.
My picture is: the GNW can broadcast everything that you have ever consciously thought about. This is an awfully big space. And it is a space of generative models (a.k.a. hypotheses).
The GNW is at the top of the (loose) hierarchy: the GNW sends predictions down to the lower-level regions of the neocortex, which in turn send prediction errors back to the GNW.
If, say, some particular upcoming input is expected to be important, then GNW can learn to build a generative model where the prediction of that input has a high confidence attached to it. That will bias the subsequent behavior of the system towards whatever models tend to be driven by the prediction error coming from that input. Thus we build serial computers out of our parallel minds.