To get AI you have an interface problem you need to solve since reality is a bitch to parse; this is just the start, what about the formulation of goals? How would you even make that in code? You would need to start with a certain kind of data that was extracted by the sensors but how will you ever know you have the correct set? You have two problems to solve simultaneously getting the right data and building the right system on top of it -- this core data when done in reality is not the same core data that would make this possible in a simulation and the system on top while maybe having the same fundamental form is also very likely different. Makings intelligent agents in a simulation is not the same as making intelligent agents arbitrarily useful in the real world, granted a simulation is a good means to explore techniques -- in a simulation I control the sensory apparatus of the agent perfectly. So I think the lesson is you either build systems from which it is easy to stream data and configure programmatically or deal with the fact that this is likely impossible without simulating a universe to high fidelity. Deep Learning is extremely useful as it is, not the same as cryptocurrencies which are useful but this usefulness will never be properly realized due to human nature -- right now their primary purpose seems to be to satiate greed and humans with poor impulse control while promising a lot of outlandish things.