Writers, inventors and entrepreneurs, impressed by progress in several scientific fields, are debating whether we may be heading for a singularity in which machines with super-human intelligence will arise and multiply. In parallel enthusiastic coverage in the media has widely publicized machines performing sophisticated tasks, from beating the world's chess champion to driving a car, from recognizing animals in videos to beating human experts on quiz shows. These stories have reignited interest in the discipline of Artificial Intelligence, whose goal is to create machines that are as intelligent as humans. First of all, this book provides a reality check of sorts on simulating human intelligence and achieving superhuman intelligence. I show that, in a society driven by media that desperately need sensational news to make money and in an academic world increasingly driven by the desire to turn research into Silicon Valley start-ups, technological progress in general, and progress in computer science in particular, is often overrated. I wanted to dispel some notions, and my version of the facts may sound controversial until you read my explanations. For example: non-human intelligence is already among us, and is multiplying rapidly, but it is not a machine. For example: progress in Artificial Intelligence has been negligible and one reason is, ironically, that computers have become so much more powerful. For example: the program of turning machines into humans is not very successful yet, but the program of turning humans into machines (via an almost infinite repertory of rules and regulations) is very successful. The new generations missed the debates of the previous decades (the Turing test , the ghost in the machine , the Chinese room , etc) and some of us think that these new generations, trained in hyper-specialized disciplines, don't have the knowledge to understand them even if they were forced to read them. Therefore it is much easier for the new A.I. pl%