I have a copy . Drop me a pm with your email and I ' ll send . <| sep |> As I wrote I didn ' t dispute the utility of what will and to some degree already has come out of DeepMind or any other AI research . General purpose reinforcement learning would and will be superuseful , no doubt . There is no doubt about the awesome things we have seen in perception and control in particular , and NLP is moving very fast as well . The question is whether the current focus on machine learning is going to eventually reach its limits . Demis emphasizes the importance of generality , yet , machine learning is not really that general . It learns what you teach it to do , but so does a Turing machine or a computer do whatever you program it to do including machine learning BTW . You just teach it in a more declarative way than via explicite programming , but ultimately , it still does what you tell it to do , it ' s just a lot higher level now . But I think a long leap is needed before we can say these things are truly general .