[Nfbmd] Fw: [nfb-talk] Fw: Kurzweil
Kenneth Chrane
kenneth.chrane at verizon.net
Sun Jan 27 16:31:27 UTC 2013
----- Original Message -----
From: "Ed Meskys" <edmeskys at roadrunner.com>
To: "nfb-talk" <nfb-talk at nfbnet.org>
Sent: Wednesday, January 23, 2013 9:42 AM
Subject: [nfb-talk] Fw: Kurzweil
> Subject: Kurzweil
>
>
> 'How to Create a Mind: The Secret of Human Thought Revealed' by Ray
> Kurzweil
> By Simson Garfinkel, Washington Post Book World: January 20, 2013
> In January 1976, Ray Kurzweil introduced the Kurzweil Reading Machine, a
> breakthrough system that could photograph a book (with Kurzweil's flat-bed
> scanner), recognize the text (with Kurzweil's omnifont
> character-recognition technology) and speak the text (with Kurzweil's
> speech-synthesis software). Fifteen years later he struck gold again, this
> time a program that could turn natural speech into text. Today a
> descendant of that technology is Apple's voice-recognizing Siri. Clearly
> Kurzweil knows inventions: In 1999 President Bill Clinton awarded him the
> National Medal of Technology.
>
> These days, Kurzweil is better known as a futurist. Starting with his 1990
> book, "The Age of Intelligent Machines," he has delivered books and
> lectures explaining artificial intelligence, predicting the development of
> computers that are smarter than humans, and dispensing diet and health
> advice so his followers can live long enough to have their brains mapped
> and uploaded to some Great Computer in the Cloud. To quote the title of
> his 2005 book, our goal - realizable in 25 to 50 years - should be to
> "Live Long Enough to Live Forever."
>
> Realizing these predictions requires that science deliver a computer that
> can think. That's the premise that Kurzweil sets out to prove in his
> latest effort, "How to Create a Mind." He argues that the brain's
> fundamental building block for intelligence has been discovered by
> neuroscientists, that the algorithm for intelligence has been observed in
> nature and independently invented by artificial intelligence researchers,
> and that the steady progress of Moore's Law will produce a computer fast
> enough to simulate an entire human brain by 2020. That wish is ultimately
> an appeal for a continuation of technological progress - humanity should
> create an intelligent machine unless something unforeseen stops us from
> doing so.
>
> Kurzweil is at his best when he presents the reader with his "thought
> experiments on thinking." For example, he asks you, the reader, to recite
> the alphabet. Next he suggests that you recite the alphabet backward. Most
> people can easily do the first but have a hard time with the second. This
> proves, he writes, that memories are stored as sequences of patterns that
> can be accessed only in the order in which they are remembered. Kurzweil
> presents similar experiments that he says establish that knowledge is
> stored in the brain as a series of hierarchical patterns, and that much of
> what we call "thinking" is really just pattern-matching and
> pattern-synthesizing. Of course, these simple thought experiments don't
> really prove anything, but they are entertaining.
>
> The next two chapters present Kurzweil's misnamed "Pattern Recognition
> Theory of Mind (PRTM)" and delve into the anatomy of the human brain. PRTM
> is not a theory because it can't be tested. For example, Kurzweil argues
> that neuroplacticity, the ability of one part of the brain to take on the
> functions of another that's damaged, implies that different parts of the
> brain must use "essentially the same algorithm" to perform their
> computations. He then cites some recent neurological research to argue
> that this algorithm must run on some kind of neural "module," which he
> says consists of about 100 neurons, and that there are roughly 300 million
> of these modules in each of our brains. That's too big a conceptual jump
> for many of Kurzweil's detractors, who say that the brain is likely to
> have many more secrets and algorithms than the ones Kurzweil describes.
> Over the next three decades we'll see who is right.
>
> Later chapters discuss scientists who are working to simulate a brain,
> briefly retell the history of computer science and present critiques of
> artificial intelligence from some of the field's greatest detractors. It's
> an eclectic collection, perhaps better suited to a dinner party or a TED
> talk than a scholarly effort; it's also a bit disorganized. The arguments
> about the nature of consciousness are interesting, although Kurzweil has
> presented many of them before. His recipe for creating a mind, then, is to
> build something that can learn and then give it stuff to learn. That,
> after all, is what parents do when they conceive and raise children. But
> this is not "the secret of human thought" that Kurzweil promises in the
> book's subtitle.
>
> Sadly, Kurzweil's in-book autobiography, repeated mention of his company's
> products and snipes at his detractors come off as blatant self-promotion.
> This book would have benefited from a strong edit - perhaps in a few years
> there will be a program that Kurzweil trusts to critique his work. As it
> stands, much of the warmth and humanitarianism that are so evident in his
> talks are lost in this written volume.
>
> bookworld at washpost.com
>
> Simson Garfinkel writes and researches information technology. He is the
> author of 14 books, including "Architects of the Information Society:
> Thirty-Five Years of the Laboratory for Computer Science at MIT."
>
>
>
> HOW TO CREATE A MIND The Secret of Human Thought Revealed By Ray Kurzweil
> Viking. 336 pp. $27.95
>
>
>
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