PC and try a controller . I prefer kbm for chain dashing but it ' s all personal preference . <| sep |> Maybe , if they can do reinforcement learning in a huge state space and with a huge action set , over large time spans . At the moment we can only do simple RL tasks , the most complex being AlphaGo so far . But DeepMind is publishing frequently on this subject , and are bringing one revolutionary idea after another . I don ' t think it will be 2025 . Maybe 20 years from now , but we ' ll see tons of exciting results in the meantime . Maybe we ' ll see chatbots that can do more than reply to the last line , maybe we ' ll see robotic motor control as good as human motor control , new algorithms that can do vision , speech and reasoning on mobile phone hardware . If you think about it , an agile android robot that can handle objects and dialogue without sounding silly , would be good enough for many people in place of real AGI . We also have to apply lots of current ML techniques to current world problems a lot of change will come from that too , because up until now most companies didn ' t really employ AI to optimize their activity . AI is expanding rapidly in government too , both in good and bad ways , and we ' ll get a taste of that in 20 years time . We ' re already accustomed with Google search since the 2000 ' s and it ' s fundamentally changed how we learn and solve problems . Automatic content suggestion has become good enough and many people are learning about new things with their help . We ' re already changed , and that will accelerate , but we ' re not there just yet .