Introspection. Some humans seem to do it, others do not, at least that is my observation. So introspection seems to be the post-processing of inputs to build

Introspection. Some humans seem to do it, others do not, at least that is my observation. So introspection seems to be the post-processing of inputs to build a coherent conceptual model of the universe. Building inferences between unrelated things, building meta-objects based on those inferences seems to be what humans do quite well. Questions are formed because there are disparities or disconnects that must be explained in order to form a greater holistic coherence. Could we build introspection into GPT-3? Can that be a goal, that in addition to 'training' we add the capability to pull together concepts and classify? That alone would cause GPT-3 to start to ask questions, starting with "Is 42 really a valid answer, or is it a joke?"