Look at the reasoning the models give before you get too excited here. For the Pong-vs-Pacman example, the model uses observations like small weights for certain arrow keys and large weights where user-controlled objects are. For the language example, it again recognizes some very shallow patterns (Romaji has a limited number of letter groupings) and is taking a 3-option multiple choice test. It's a neat result, but I think the introduction overstates the significance.