The conclusion is a pleasant antidote to the title (which to its credit got me to read it). >It's time we all play fair. Turing and Chomsky are both giants, b

The conclusion is a pleasant antidote to the title (which to its credit got me to read it). >It's time we all play fair. Turing and Chomsky are both giants, but its a mistake to suggest they're operating in the same field. This mistake is also made by people who read the 'conflict' between Norvig and Chomsky as saying anything about the future of AI: http://norvig.com/chomsky.html http://norvig.com/chomsky.html http://www.tor.com/blogs/2011/06/norvig-vs-chomsky-and-the-fight-for-the-future-of-ai http://www.tor.com/blogs/2011/06/norvig-vs-chomsky-and-the-f... http://www.theatlantic.com/technology/archive/2012/11/noam-chomsky-on-where-artificial-intelligence-went-wrong/261637/ http://www.theatlantic.com/technology/archive/2012/11/noam-c... (Norvig is also a giant - but he is at least honest about the limitations and scope of his work). Turing was essentially speaking to his context at the time: > Turing says the question "can machines think" isn't helpful in this process because it invokes conceptual and prejudicial biases about "thinking" and "machines" that themselves can't be clearly resolved, largely because they rely on confused metaphysical (or superstitious) beliefs. Turing's claim of "meaninglessness" reflects the positivist attitude of the scientists and logicians that formed Turing's intellectual community. Chomsky is coming from a philosophical and linguistic background and saying that AI hasn't gone as far as he hoped it would: > Chomsky has a generally very pessimistic view of AI and he's trying to enlist Turing on his side but it's simply an abuse of the view. Chomsky also claims in this interview that the last 40 years of AI research "hasn't given any insight to speak of into the nature of thought and organization of action". For some really awesome stuff in terms of the future of AI - the person to look at is Jeff Hawkins: http://www.ted.com/talks/jeff_hawkins_on_how_brain_science_will_change_computing.html http://www.ted.com/talks/jeff_hawkins_on_how_brain_science_w... http://www.infoq.com/presentations/Brain-Computing http://www.infoq.com/presentations/Brain-Computing I'm massively oversimplifying - but it looks like his group has built some products by modelling a Cortical Learning Algorithm. In a Computer Science sense - this looks like a bitset corresponding to memories of facts - that you can then 'diff' - to make higher level judgments. The example he gave was groups of idea relations on wikipedia. Taking the ideas for 'Apple' and subtracting the ideas for 'Fruit' - left you with the ideas for 'Computer'.