I like this article, but I think he misses that part of the problem with early AI (in addition to not enough processing power) was poor mental models. AI becam

I like this article, but I think he misses that part of the problem with early AI (in addition to not enough processing power) was poor mental models. AI became LISP programming. Another comment of his is a stretch: The system just figures it out. And that means there’s no need for theory. It isn't that there is no theory behind what Google is doing. It's that there's theory of how humans process things. There is a theory behind creating a pattern recognizer. It just doesn't force the pattern recognizer to conform to an existing theory of how humans process information. Building the black box still requires some knowledge of what you're trying to solve. I'm a big believer in the power of Big Data, but history is littered with failed projects of machines that replace the thinker.