Well... humans have different mental "spaces" (not intended as a technical term).
Let's say I'm deep in a coding problem. A co-worker comes by and says "How did your team do in the game yesterday?". I say, "Um, uh... sorry, my head's not there right now." It takes us time to swap between mental "spaces".
So, if I have an AGI (defined as having a trained model for almost everything, even if that turns out to be a large number of different models), if it has to load the right model before it can reason on that topic, then that's pretty human-like. (As long as it can figure out which model to load...)
The one thing missing is that (at least some) humans can figure out linkages between different mental "spaces", to turn them into a more coherent holistic mental space, even if they don't have (all of) each space at front-of-mind at any moment. I'm not sure if this flavor of an AGI could do that - could see the connections between different models.
The power of analogy is one of the most important things that humans seem to have.
Humans typically use the toolset they've seen along the way to solve problems (hence if you have a hammer all problems become nails statement). When you get people that are multi-disciplinary they commonly can solve a complex problem in one field by bringing parts of solutions from other fields.
Hence if you have more life experiences (especially positive/learning ones) you are typically better off then a person who does not.
Also I think this is where a lot of interest in Q* learning after the OpenAI thing occurred, as this would be a means of allowing an AI to explore problem spaces and enlist specialist AI and tools for it to do so.
solid points. As a D&D nerd, might I offer that this is more along the lines of AGW (Artifical General Wisdom) than Artificial General Intelligence? Intelligence seems mode closely related to "IQ" as in (mechanical) "ability to solve a problem". But wisdom is knowing when to solve the problem and maybe when not to solve it, or which problem to solve. And of course, those times when instead of solving it, way better to talk about it with your fellow nerds on HN!!
Let's say I'm deep in a coding problem. A co-worker comes by and says "How did your team do in the game yesterday?". I say, "Um, uh... sorry, my head's not there right now." It takes us time to swap between mental "spaces".
So, if I have an AGI (defined as having a trained model for almost everything, even if that turns out to be a large number of different models), if it has to load the right model before it can reason on that topic, then that's pretty human-like. (As long as it can figure out which model to load...)
The one thing missing is that (at least some) humans can figure out linkages between different mental "spaces", to turn them into a more coherent holistic mental space, even if they don't have (all of) each space at front-of-mind at any moment. I'm not sure if this flavor of an AGI could do that - could see the connections between different models.