It has, and it will generate even more. But there are lots of problems that narrow AI just doesn't seem very capable of. Things like conversational natural-language understanding and general assistance in the virtual world, or things like Rosie the robot that might be able to help you tidy your home or cook you dinner. Those are just way outside of the scope of what we can do with narrow AI. It's also an interesting empirical question about whether narrow AI can get us to safe driverless cars. The reality so far is that narrow AI has a lot of problems with outlier cases, even for driving, which is a fairly constrained problem.

Google, Microsoft, IBM, Apple, and 885 other players in the A.I. market have all been spinning their wheels in the wrong direction. Using brute force in machine learning and natural language processing (NLP) with advanced statistics, bots such as Siri, Echo, Viv, Hound, Skype and others fall off a cliff the moment they receive a command that is not an exact match for the engine. This is because NLP can only approximate meaning. For all the progress that has been made in A.I., there is one hard problem that has remained fundamentally unsolved: natural language understanding (NLU). According to John Giannandrea, a Google senior vice president, "understanding language is the holy grail of [A.I.]." "[If machines cannot] have a meaningful conversation, it quickly goes off the rails," said Andrew Ng, deep learning expert and chief scientist at Baidu and an associate professor at Stanford.