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How to Create a Mind: The Secret of Human Thought Revealed [Hardcover]

Ray Kurzweil
3.9 out of 5 stars  See all reviews (9 customer reviews)

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Book Description

13 Nov 2012
How does the brain recognise images? Could computers drive? How is it possible for man-made programmes to beat the worlds best chess players? In this fascinating look into the human mind, Ray Kurzweil relates the advanced brain processes we take for granted in our everyday lives, our sense of self and intellect and explains how artificial intelligence, once only the province of science fiction, is rapidly catching up. Effortlessly unravelling the complexity of his subject, unfolding such key areas as love, learning and logic, he shows how the building blocks for our future machines exist underneath. Kurzweil examines the radical possibilities of a world in which humans and intelligent machines could live side by side.
--This text refers to an alternate Hardcover edition.

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Product details

  • Hardcover: 352 pages
  • Publisher: Viking Books (13 Nov 2012)
  • Language: English
  • ISBN-10: 9780670025299
  • ISBN-13: 978-0670025299
  • ASIN: 0670025291
  • Product Dimensions: 23.9 x 16.5 x 3 cm
  • Average Customer Review: 3.9 out of 5 stars  See all reviews (9 customer reviews)
  • Amazon Bestsellers Rank: 558,753 in Books (See Top 100 in Books)

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Review

Ray Kurzweil is the best person I know at predicting the future of artificial intelligence --Bill Gates

Kurzweil knows a lot about new technology and he knows how to make it sound fun. He is dazzling in his enthusiasm for things to come, and has a grasp of the exciting developments pulsing through the intersection of science and technology --Financial Times --This text refers to an alternate Hardcover edition.

About the Author

Ray Kurzweil is the world-renowned inventor, thinker and futurist. A recipient of the National Medal of Technology and 12 honorary doctorates, he is the author of six books, and has been described by the Wall Street Journal as the restless genius. His bestselling book The Singularity is Near is also published by Duckworth. --This text refers to an alternate Hardcover edition.

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Customer Reviews

3.9 out of 5 stars
3.9 out of 5 stars
Most Helpful Customer Reviews
1 of 1 people found the following review helpful
5.0 out of 5 stars Making Up a Mind of One's Own 20 April 2013
By Dr. Bojan Tunguz TOP 500 REVIEWER
Format:Hardcover
Ever since I read "Singularity is Near" I've been fascinated by Ray Kurzweil - his wirings, ideas, a predictions. He's not been afraid to go on the limb and make some brave and seemingly outlandish forecasts about the upcoming technological advances and their oversize impact on people and society. One of the main reasons why I always found his predictions credible is that they can, in a nutshell, be reduced to just a couple of seemingly simple observations: 1. Information-technological advances are happening exponentially, and 2. Information technology in particular is driving all the other technological and societal changes. The rest, to put it rather crudely, are the details.

In "How to Create a Mind" Kurzweil zeroes in on just one scientific/technological project - creating a functioning replica of the human mind. He uses certain insights from information technology and neurology to propose his own idea of what human mind (and by extension human intelligence) are all about, and to propose how to go about emulating it "in silico." Here too Kurzweil reduces a seemingly intractable problem that the humanity has grappled with for millennia to just a couple of overarching insights. In his view the essence of virtually all cognitive processes can be reduced to the scientific paradigm of "pattern recognition" - an ability of computational agent to identify and classify patterns. And the information theoretical and engineering tool for emulating the kind of pattern recognition that goes on in a mind is the mathematical technique called "hierarchical hidden Markov chains" (HHMS). What gives Kurzweil confidence about this insight and this kind of approach are the successes that he has had in starting and marketing companies which used HHMS for speech and character recognition. Many of these technologies and their derivatives have in recent years made it to the wide ranging set of consumer products (Apple's Siri is just one such example), so it's not surprising that Kurzweil would be feeling exceptionally confident about his insights. However, the history of computation and artificial intelligence is filled with examples of paradigms that seemed promising at one level of "thinking" complexity only to be proven ineffective at tacking more sophisticated problems. Furthermore, even though I am not an expert at neuroscience, Kurzweil's descriptions of what goes on in an actual biological brain come across as not too sophisticated. He is obviously well informed on many neurobiological topics, far above what even a well-educated reader may know, but from what I know about biology the intricacies of the brain are still too complex to be reduced to a simple (simplistic?) model. Kurzweil may still turn out to be right about what he is proposing in this book (and if I had to bet I would loath to bet against him), but the evidence that he presents leaves a lot of potential gaps and pitfalls that would need a lot more convincing to completely bridge.

This is definitely a very well written book with a lot of interesting and though-provoking insights and predictions. Anyone interested in scientific and technological progress in the upcoming years and decades would greatly benefit from reading it, especially since it's such an enjoyable book. I highly recommend it.
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4 of 5 people found the following review helpful
4.0 out of 5 stars A Brief Summary and Review 16 Nov 2012
Format:Hardcover
*A full executive summary of this book is available at newbooksinbrief dot com.

When IBM's Deep Blue defeated humanity's greatest chess player Garry Kasparov in 1997 it marked a major turning point in the progress of artificial intelligence (AI). A still more impressive turning point in AI was achieved in 2011 when another creation of IBM named Watson defeated Jeopardy! phenoms Ken Jennings and Brad Rutter at their own game. As time marches on and technology advances we can easily envision still more impressive feats coming out of AI. And yet when it comes to the prospect of a computer ever actually matching human intelligence in all of its complexity and intricacy, we may find ourselves skeptical that this could ever be fully achieved. There seems to be a fundamental difference between the way a human mind works and the way even the most sophisticated machine works--a qualitative difference that could never be breached. Famous inventor and futurist Ray Kurzweil begs to differ.

To begin with--despite the richness and complexity of human thought--Kurzweil argues that the underlying principles and neuro-networks that are responsible for higher-order thinking are actually relatively simple, and in fact fully replicable. Indeed, for Kurzweil, our most sophisticated AI machines are already beginning to employ the same principles and are mimicking the same neuro-structures that are present in the human brain.

Beginning with the brain, Kurzweil argues that recent advances in neuroscience indicate that the neocortex (whence our higher-level thinking comes) operates according to a sophisticated (though relatively straightforward) pattern recognition scheme. This pattern recognition scheme is hierarchical in nature, such that lower-level patterns representing discrete bits of input (coming in from the surrounding environment) combine to trigger higher-level patterns that represent more general categories that are more abstract in nature. The hierarchical structure is innate, but the specific categories and meta-categories are filled in by way of learning. Also, the direction of information travel is not only from the bottom up, but also from the top down, such that the activation of higher-order patterns can trigger lower-order ones, and there is feedback between the varying levels. (The theory that sees the brain operating in this way is referred to as the Pattern Recognition Theory of the Mind or PRTM).

As Kurzweil points out, this pattern recognition scheme is actually remarkably similar to the technology that our most sophisticated AI machines are already using. Indeed, not only are these machines designed to process information in a hierarchical way (just as our brain is), but machines such as Watson (and even Siri, the voice recognition software available on the iPhone), are structured in such a way that they are capable of learning from the environment. For example, Watson was able to modify its software based on the information it gathered from reading the entire Wikipedia file. (The technology that these machines are using is known as the hierarchical hidden Markov model or HHMM, and Kurzweil was himself a part of developing this technology in the 1980's and 1990's.)

Given that our AI machines are now running according to the same principles as our brains, and given the exponential rate at which all information-based technologies advance, Kurzweil predicts a time when computers will in fact be capable of matching human thought--right down to having such features as consciousness, identity and free will (Kurzweil's specific prediction here is that this will occur by the year 2029).

What's more, because computer technology does not have some of the limitations inherent in biological systems, Kurzweil predicts a time when computers will even vastly outstrip human capabilities. Of course, since we use our tools as a natural extension of ourselves (figuratively, but sometimes also literally), this will also be a time when our own capabilities will vastly outstrip our capabilities of today. Ultimately, Kurzweil thinks, we will simply use the markedly superior computer technology to replace our outdated neurochemistry (as we now replace a limb with a prosthetic), and thus fully merge with our machines (a state that Kurzweil refers to as the singularity). This is the argument that Kurzweil makes in his new book 'How to Create a Mind: The Secret of Human Thought Revealed'.

Kurzweil lays out his arguments very clearly, and he does have a knack for explaining some very difficult concepts in a very simple way. My only objection to the book is that there is a fair bit of repetition, and some of the philosophical arguments (on such things as consciousness, identity and free will) drag on longer than need be. All in all there is much of interest to be learned both about artificial intelligence and neuroscience. A full executive summary of this book is available at newbooksinbrief dot com; a podcast discussion of the book will be available soon.
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2 of 3 people found the following review helpful
4.0 out of 5 stars An effort but still very apocalyptic 26 Jan 2013
Format:Hardcover
We must understand this title that pretends to tell you how you can create a mind has to be taken literally. Ray Kurzweil believes in his Artificial Intelligence engineer's enthusiasm that he can create a mind, that he may qualify as god himself, a secular god as a matter of fact.

"Evolution can then be viewed as a spiritual process in that it creates spiritual beings, that is, entities that are conscious. Evolution also moves toward greater complexity, greater knowledge, greater intelligence, greater beauty, greater creativity, and the ability to express more transcendent emotions, such as love. These are all descriptions that people have used for the concept of God, albeit God is described as having no limitations in these regards." (p. 223)

And do not consider all that is pure rhetoric or pulpit preaching. He believes evolution is the real God when he says: "Our neocortex is virgin territory when our brain is created . . . the biological process of actually growing a brain." (p. 62) We can wonder about this evolution or biological process if it is a creator or a grower, God or a simple farmer. But we have to wonder what Kurzweil means by "brain" and "mind." Page 23 over 26 lines he uses the following string of words: "mind . . . brain . . . mind . . . theories . . . ideas . . . thought . . . thinking . . . theories . . . thought . . . brain . . . thinking . . . " We can assert that these words are not really discriminated. This lack of clear definitions of these terms is of course an enormous shortcoming that is just as nearly irritating as the levity with which he deals with Einstein: "Einstein articulated my goals in this book well when he said that `any intelligent fool can make things bigger and more complex . . . but it takes . . . a lot of courage to move in the opposite direction.'" (p. 11) It is obvious Einstein did not articulate his goals since he has not been alive for a while now. That use of the passive by Kurzweil to draw to himself what the quoted person said is even more astounding with at least two and quite often more than three quotations, at times long ones, at the head of all chapters and even subchapters. Kurzweil seems to forget that quoting does not prove anything. But this quoting and bringing together opposed ideas is the basic unitarian objective of the author:

"The truth can be discovered only by finding an explanation that overrides - transcends - seeming differences, especially for fundamental questions of meaning and purpose. That is how I resolve the Western-Eastern divide on consciousness and the physical world. In my view both perspective have to be true. On the one hand it is foolish to deny the physical world . . . On the other hand, the Eastern perspective - that consciousness is fundamental and represents the only reality that is truly important - is also difficult to deny." (p. 222)

On one hand blunt and brutal materialism since Kurzweil does not seem to consider the material existence of the mind, except when reduced to the brain, or of ideas, thoughts, ideologies, etc. On the other hand a principle that is derived from a false reference to Buddhism.

"In the Eastern view, consciousness is the fundamental reality, the physical world only comes into existence through the thoughts of conscious beings . . . I call this the Buddhist school of quantum mechanics, because in it particles essentially don't exist until they are observed by a conscious person." (p. 218-219)

Kurzweil does not know what he is speaking of. Buddhism is basically expressed in the Dhammapada and the Abhidhamma. For Buddha the whole material world exists outside our consciousness and we are part of it because we have a body. This whole world can only be captured by our six senses, the five basic senses plus the mind as a meta-sense that processes the sensations captured by the five other senses plus the abstract concepts conveyed by language and organized in abstract reasoning or description. The word "consciousness" that Kurzweil uses does not correspond at all to the words used for the "mind" that sixth sense or meta-sense. In fact there are two words in Pali for the mind, "mana" that refers to the meta-sense itself and "citta" which refers to the various mental states of an individual experiencing some type of feeling, emotion, mental excitation, etc. Kurzweil uses the word "determined" a lot about the material world. There is a Buddhist concept behind. The whole physical world, including us as physical beings is determined, follows the physical laws governing the cosmos. By using the mind any individual can get into meditation, which will lead him onto the eightfold path of illumination that is to say the possibility to get detached from the determined world and hence to merge with cosmic energy once death has come, thus getting out of the triple characteristic of the determined world: everything is changing all the time; everything is carried by a cycle that goes from birth to life and decay then to death and then to rebirth. Nibbana (known in Sanskrit as Nirvana) is that mentally produced escape from this cycle into cosmic energy; everything has no essence, soul or permanence of any type.

This is important because this should lead us to refusing the basic objective Kurzweil gives to humanity: to use intelligent machines to "coloniz[e]" (p. 281) the universe. In previous books he was rejoicing in the idea that the speed of light could be stepped over, hence speeding the "colonizing [of] the universe" (p. 281) though in this book he is more realistic since the good news about having transported molecules at a speed higher than the speed of light has been disproved in this very 2012 year. But the objective remains: to colonize the universe. Some people never learn. The colonization of the planet by the Europeans has not exactly been the best thing in the world producing slavery, the eradication of American Indians, Aztecs, Mayas, Incas, etc, colonialism and throwing three continents, if not four into, underdevelopment and exploitation. It is high time Kurzweil questions his basic fundamental motivation. The conquest of the universe is not on the agenda. So far we are dealing with the discovery of the universe. We might never conquer it, especially if intelligent beings exist here and there. The use of the cavalry seems to be slightly passé.

This said, and it is fundamental we can move to the main subject of the book: the mind, though in fact he never speaks of it reducing it to the brain. So let's start with the brain.

After a rather long career and many books published on his "Singularity" that was and still is heftily criticized by many people in the field, including people who are specialists, theoreticians and entrepreneurs in computing science and technology like Kurzweil himself, he wrote this book to get back in phase with others. Criticism was generally rejected high-handedly before. This time he makes an effort to integrate the research of others in the first half of his book, hence to describe the functioning of the brain the way it is known by scientists, though in the second half of the book he goes back his messianic, apocalyptic, prophetic, oracular prediction of the merging of biological intelligence, hence man, into non-biological intelligence, hence machines and we jump onto the track to Terminator 25 all over again and dreams of a time when "computers will have . . . surpassed unenhanced human intelligence." This phrase gives us in a nutshell, not a walnut but a hazelnut, his basic thinking. Note he of course neglects the fact that human intelligence develops along with all the intelligent machines and theories man has invented. If these intelligent machines are used properly, that is to say at the top of their capabilities, then the intelligence of the users will tremendously develop. Will we have a new mutation in biological evolution? Some human beings are able to develop some tremendous capabilities as for memory, the assimilation of hierarchical systems like foreign languages, etc. These are supposed to be autistic, but do we know anything serious about autistic people apart from believing they are different and have to be put away?

Let's speak of the brain now. I will not be over technical about it. He borrows from various other researchers (Jeff Hawkins, Dileep George and Jaron Lanier mostly) the general architecture of the brain and adds a couple of things.

The neocortex is the part of the brain that controls our most advanced human intelligent activities. It has six layers and it is structured in vertical columns across these six layers; Each column hence has six layers too. These columns are connected in many ways first of all to the columns around each one of them on a proximity basis, but some spindle neurons can connect many columns in all parts of the brain, 60% of these spindle neurons in the right hemisphere and 40 percent in the left hemisphere. They appeared with hominids, our ancestors after branching out of apes some 10 or 15 million years ago. But we must know that they already existed in apes since Gorillas have about 20% of our number, Bonobos have 2.5% and chimpanzees about 2%. Other mammals do not have any at all. Kurzweil does not speak of mirror neurons and he should have since they are also only vastly present in Homo Sapiens, though they must have been present in hominids and are present in some apes, and these are essential for learning and empathy since they enable someone to imitate the actions of someone else and to empathetically feel the same emotions as other people around them. He also mentions though lightly the fact that a fetus has a brain as soon as one month of age and this fetus will hear (he does not mention this one) and see around the 20th or 24th weeks of pregnancy. Read more ›
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1.0 out of 5 stars Yet another homunculus theory of the 'mind'
Purchasers of this book would do well to read Colin McGinn's review in the New York Review of Books; here is part of it:

"There is another glaring problem with... Read more
Published 2 months ago by Rosa Lichtenstein
1.0 out of 5 stars 2 major fails in chapter 1 - the author writes about what he does not...
(1) Author states that his Crookes Radiometer rotates away from the dark sides, because of the momentum of photons. If this were true, it would rotate the other way. Read more
Published 3 months ago by george
5.0 out of 5 stars Mind Storms
Basicly, I think the book consists of three parts:
In the first part of the book we are introduced to pattern recognizers
and how the human neocortex might work. Read more
Published 4 months ago by Simon Laub
5.0 out of 5 stars Our brains.
As I am very interested in how our brain functions, this book goes a long way in explaining complex processes revealing its inner workings and what a remarkable organ the brain is.
Published 4 months ago by Rosanna Tunk
5.0 out of 5 stars How and why the patterns theory of mind can help to reveal "the secret...
The title of my review is based on this passage in the Introduction, one in which Ray Kurzweil discusses recent neuroscience research that will, eventually, reveal the secret of... Read more
Published 6 months ago by Robert Morris
5.0 out of 5 stars How and why the patterns theory of mind can help to reveal "the secret...
The title of my review is based on this passage in the Introduction, one in which Ray Kurzweil discusses recent neuroscience research that will, eventually, reveal the secret of... Read more
Published 6 months ago by Robert Morris
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