In Sunday night's Westworld episode, "Riddle of the Sphinx," viewers got closer to understanding the true purpose of Westworld and the Delos corporation. Turns out, it's what humans have been after for as long as we've been around: immortality. SEE ALSO: The new, most popular'Westworld' theory for Season 2 is a doozy Viewers arrive at this revelation through the plot of James Delos, the Delos CEO before Ed Harris' William/Man In Black takes over. In S2E2, we learned that James Delos was dying. And since he's died, his son in law/protege William has apparently been using him as the guinea pig for reincarnation in an artificial body.
I never should have started watching Westworld. Not because I didn't think it'd be good. An HBO show based on a Michael Crichton idea starring Evan Rachel Wood with all kinds of artificial intelligence? The problem wasn't that Westworld wouldn't be enjoyable, it was that it's the kind of show that invites obsession. The kind that presents Big Questions--that never get answered.
Artificial Intelligence has become a very popular term today. There is sure to be at least one article in the newspaper daily on the revolutionary advancements made in the field. But, there seems to be some confusion about what AI really is. Will the Terminator movie actually come true? Or is it something that has crept into our daily lives without us even realizing it? This article will give you a broad understanding on the buzzwords associated with AI, its applications, the careers & opportunities it has and its future.
Prof. Bostrom has written a book that I believe will become a classic within that subarea of Artificial Intelligence (AI) concerned with the existential dangers that could threaten humanity as the result of the development of artificial forms of intelligence. What fascinated me is that Bostrom has approached the existential danger of AI from a perspective that, although I am an AI professor, I had never really examined in any detail. When I was a graduate student in the early 80s, studying for my PhD in AI, I came upon comments made in the 1960s (by AI leaders such as Marvin Minsky and John McCarthy) in which they mused that, if an artificially intelligent entity could improve its own design, then that improved version could generate an even better design, and so on, resulting in a kind of "chain-reaction explosion" of ever-increasing intelligence, until this entity would have achieved "superintelligence". This chain-reaction problem is the one that Bostrom focusses on. He sees three main paths to superintelligence: 1. The AI path -- In this path, all current (and future) AI technologies, such as machine learning, Bayesian networks, artificial neural networks, evolutionary programming, etc. are applied to bring about a superintelligence.
Modeled after the human mind, AI thinks like we do by learning and adapting. AI systems take in information in the form of data, process it and store it for future reference. To give you a rough idea of how AI works -- think of a kid that touches a hot stove. His/her brain will register the pain and make a note not to repeat again. AI by itself is the outermost layer of four concentric circles.