I can't say this is a strange argument, because it is not intuitive to many. Entropy is mostly boring noise. What's really interesting is Chaos (the mathematic

I can't say this is a strange argument, because it is not intuitive to many. Entropy is mostly boring noise. What's really interesting is Chaos (the mathematical concept). Things such as Turing machines, Cellular Automata (such as Conway's Game Of Life) and Actual Life are chaotic. While Chaotic systems can be highly unpredictable, they are -in fact- deterministic. For example -given the same seed- a Pseudo Random Number Generator will always give you the same sequence of pseudo-random numbers. But (for a good PRNG) if you give it some novel seed, you can't predict the sequence ahead of time; you have to actually run the PRNG to find out. In real life, for a chaotic system like say -the weather on earth- , you're also going to have a hard time working backwards to find the original seed(s). Given a hurricane in the Carribean, good luck finding the original proverbial butterfly out of all the butterflies in China. So in order to have an intelligent machine it actually needs to be highly deterministic. At the same time it will by necessity become rather unpredictable. This is not immediately intuitive. But that's basically what all the hullabaloo about Chaos Theory was actually about in a nutshell.