That seems a lot more cost effective, to train algorithms in a virtual, rather than physical, environment. On the other hand, like with self-driving cars, for

That seems a lot more cost effective, to train algorithms in a virtual, rather than physical, environment. On the other hand, like with self-driving cars, for some purposes it makes sense to provide physical, real-life situations and objects, with all its chaos, unexpected and unpredictable events. For "true" intelligence matching human expectations, I imagine an understanding of the physical environment and its complexity is key. Otherwise, it could only deal with abstract concepts, like pure mathematics, but missing the experience of concrete reality - to be able to relate to us.