AGI not bound to a physical presence is almost an oxymoron. Without basic motivation (hunger, sleep, happiness, etc.), how will it learn? What is its incentive

AGI not bound to a physical presence is almost an oxymoron. Without basic motivation (hunger, sleep, happiness, etc.), how will it learn? What is its incentive to actually do anything? What's to prevent it from telling us to take a hike? "Intelligence" is not something easily abstracted away from the physical world, especially if you want something to learn on its own. How will an AGI to learn that stoves are hot? The main challenge I see to creating such a system that can truly learn is that you will have to constrain it to have motivation to learn and follow your directions, and nothing else. And even if you could add such constraints, what would "learning" mean to such a device? What would stop it from going off on useless tangents, like attempting to count every grain of sand you show it? Anything with as much autonomy as it takes to have AGI will likely start coming to conclusions we don't want it to. My guess is that in the near future, either we'll create something that is beyond our ability to control effectively, or it will be yet another clever simulation of AGI that is not really AGI.