4 of 4 people found the following review helpful
5.0 out of 5 stars Making Up a Mind of One's Own
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...
Published 10 months ago by Dr. Bojan Tunguz
14 of 19 people found the following review helpful
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 Kurzweil's book: the relentless and unapologetic use of homunculus language. Kurzweil writes: 'The firing of the axon is that pattern recognizer shouting the name of the pattern: "Hey guys, I just saw...
Published 12 months ago by Rosa Lichtenstein
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4 of 4 people found the following review helpful
5.0 out of 5 stars Making Up a Mind of One's Own,
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.
2 of 2 people found the following review helpful
4.0 out of 5 stars Very interesting book, doesn't give enough away,
This book was given the title it has to sell more copies. Kurzweil doesn't reveal any secrets and doesn't describe any methods that haven't been around for a long time in academia and industry already.
As a software engineer working on pattern recognition systems I bought this book as soon as it was available, the book gave me a lot of ideas and I'm very happy I bought it. The central thesis seems to be the same as Jeff Hawkins' On Intelligence - obviously a big influence for Kurzweil - but with a focus on developments since On Intelligence was published.
Kurzweil got employed at Google very shortly after publishing this book so he could lead a team to create the mind that he's described. He's said in interviews that he left some details out of the book because he didn't want to give too much away.
Overall a good read that will provoke a lot of constructive thought, but don't expect for anyone to actually build a mind based on just this book.
6 of 7 people found the following review helpful
4.0 out of 5 stars A Brief Summary and Review,
*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.
1 of 1 people found the following review helpful
5.0 out of 5 stars brilliant book,
This review is from: How to Create a Mind: The Secret of Human Thought Revealed (Kindle Edition)
Loved this book, it has focused me and moved me forward when I thought there was no where else to go.
1 of 1 people found the following review helpful
4.0 out of 5 stars Started out great,
This review is from: How to Create a Mind: The Secret of Human Thought Revealed (Kindle Edition)
Really interesting start but I thought it degenerated too much into a philosophical discussion. Would have liked a more practical guide!;-)
5.0 out of 5 stars Clear and complete,
A very clear and complete description of how brain works and in what sense technology will enable its emulation. All these, described in a accessible and simple language available to non proficient readers on the topic, something that Kurzweil start mastering with previous publications.
14 of 19 people found the following review helpful
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 Kurzweil's book: the relentless and unapologetic use of homunculus language. Kurzweil writes: 'The firing of the axon is that pattern recognizer shouting the name of the pattern: "Hey guys, I just saw the written word 'apple.'"' Again:
"'If, for example, we are reading from left to right and have already seen and recognized the letters "A," "P," "P," and "L," the "APPLE" recognizer will predict that it is likely to see an "E" in the next position. It will send a signal down to the "E" recognizer saying, in effect, "Please be aware that there is a high likelihood that you will see your 'E' pattern very soon, so be on the lookout for it." The "E" recognizer then adjusts its threshold such that it is more likely to recognize an "E."'
"Presumably (I am not entirely sure) Kurzweil would agree that such descriptions cannot be taken literally: individual neurons don't say things or predict things or see things -- though it is perhaps as if they do. People say and predict and see, not little bunches of neurons, still less bits of machines. Such anthropomorphic descriptions of cortical activity must ultimately be replaced by literal descriptions of electric charge and chemical transmission (though they may be harmless for expository purposes). Still, they are not scientifically acceptable as they stand.
"But the problem bites deeper than that, for two reasons. First, homunculus talk can give rise to the illusion that one is nearer to accounting for the mind, properly so-called, than one really is. If neural clumps can be characterized in psychological terms, then it looks as if we are in the right conceptual ballpark when trying to explain genuine mental phenomena -- such as the recognition of words and faces by perceiving conscious subjects. But if we strip our theoretical language of psychological content, restricting ourselves to the physics and chemistry of cells, we are far from accounting for the mental phenomena we wish to explain. An army of homunculi all recognizing patterns, talking to each other, and having expectations might provide a foundation for whole-person pattern recognition; but electrochemical interactions across cell membranes are a far cry from actually consciously seeing something as the letter 'A.' How do we get from pure chemistry to full-blown psychology?
"And the second point is that even talk of 'pattern recognition' by neurons is already far too homunculus-like for comfort: people (and animals) recognize patterns -- neurons don't. Neurons simply emit electrical impulses when caused to do so by impinging stimuli; they don't recognize anything in the literal sense. Recognizing is a conscious mental act. Neither do neurons read or understand -- though they may be said to simulate these mental acts.
"Here I must say something briefly about the standard language that neuroscience has come to assume in the last fifty or so years (the subject deserves extended treatment -- McGinn ignores the fact that Bennett and Hacker have already done this (see the reference below); RL). Even in sober neuroscience textbooks we are routinely told that bits of the brain 'process information,' 'send signals,' and 'receive messages' -- as if this were as uncontroversial as electrical and chemical processes occurring in the brain. We need to scrutinize such talk with care. Why exactly is it thought that the brain can be described in these ways? It is a collection of biological cells like any bodily organ, much like the liver or the heart, which are not apt to be described in informational terms. It can hardly be claimed that we have observed information transmission in the brain, as we have observed certain chemicals; this is a purely theoretical description of what is going on. So what is the basis for the theory?
"The answer must surely be that the brain is causally connected to the mind and the mind contains and processes information. That is, a conscious subject has knowledge, memory, perception, and the power of reason -- I have various kinds of information at my disposal. No doubt I have this information because of activity in my brain, but it doesn't follow that my brain also has such information, still less microscopic bits of it. Why do we say that telephone lines convey information? Not because they are intrinsically informational, but because conscious subjects are at either end of them, exchanging information in the ordinary sense. Without the conscious subjects and their informational states, wires and neurons would not warrant being described in informational terms.
"The mistake is to suppose that wires and neurons are homunculi that somehow mimic human subjects in their information-processing powers; instead they are simply the causal background to genuinely informational transactions. The brain considered in itself, independently of the mind, does not process information or send signals or receive messages, any more than the heart does; people do, and the brain is the underlying mechanism that enables them to do so. It is simply false to say that one neuron literally 'sends a signal' to another; what it does is engage in certain chemical and electrical activities that are causally connected to genuine informational activities.
"Contemporary brain science is thus rife with unwarranted homunculus talk, presented as if it were sober established science. We have discovered that nerve fibres transmit electricity. We have not, in the same way, discovered that they transmit information. We have simply postulated this conclusion by falsely modelling neurons on persons. To put the point a little more formally: states of neurons do not have propositional content in the way states of mind have propositional content. The belief that London is rainy intrinsically and literally contains the propositional content that London is rainy, but no state of neurons contains that content in that way -- as opposed to metaphorically or derivatively (this kind of point has been forcibly urged by John Searle for a long time).
"And there is theoretical danger in such loose talk, because it fosters the illusion that we understand how the brain can give rise to the mind. One of the central attributes of mind is information (propositional content) and there is a difficult question about how informational states can come to exist in physical organisms. We are deluded if we think we can make progress on this question by attributing informational states to the brain. To be sure, if the brain were to process information, in the full-blooded sense, then it would be apt for producing states like belief; but it is simply not literally true that it processes information. We are accordingly left wondering how electrochemical activity can give rise to genuine informational states like knowledge, memory, and perception. As so often, surreptitious homunculus talk generates an illusion of theoretical understanding."
The rest can be accessed here:
2 of 3 people found the following review helpful
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. The next part
deals with AI, and inspirations from biology. And, the final chapters are
a tour de force about the future of humanity and human intelligence.
In the first part of the book Kurzweil explains his theory on how pattern processing units in the neocortex can make human thinking possible.
Certainly, skeptics will tell us that Kurzweils explanation is way too simple.
That we are no where near understanding or simulating the human brain. That the brain is simply overwhelming complex, and if you think otherwise, you're fooling yourself...
Well, maybe, but I still think that this part of the book is the best part...!
So, is there a unifying cortical algorithm working inside a uniform cortical anatomy organized into columns and minicolumns (As Kurzweil tells us) ?
Well, probably, the brain employs many different mechanisms, and probably it is all rather complex. Still, with Kurzweils ''simple'' model we can move forward, test the model and improve it. Without any models we are left in the quagmire of ''complexity''....
Surely, there are worse sins that making difficult subjects accessible through brilliant writing, and a few (over) simplifications?
So, I certainly enjoyed the first part tremendously, and will give the book five stars for this part alone.
In the next part of the book, Kurzweil uses his rather simple brain model to convince us that we could have human-like AI by around 2029. And a lot of really interesting AI, inspired by biological principles, way before that.
Well, probably, his models are too simple, and we should add a number of years to his figures. That doesn't invalidate his main argument though (that real artificial intelligences might eventually be built according to the principles that makes biological intelligences work).
And that these non-biological intelligences could be way faster and smarter than biological intelligences (In Kurzweils words: A typical human brain contains about 300 million pattern processing units. But AIs of the future might have billions, meaning that machine intelligence would far exceed the capabilities of the human mind).
In the final part of the book Kurzweil deals with the implications of augmenting human minds and having non-biological super-intelligences around in the future. We have heard much of this before in ''The age of Spiritual Machines'' and in the ''Singularity is Near''.
It is still highly interesting though.
And luckily, as others have observed, Kurzweil is clearly an optimist both in terms of the progress he foresees and its potential impact. If he is even partly right in his predictions then the implications could be staggering.
In a book with such an enormous and breathtaking scope, it should come as no surprise that the chapters are a little bit uneven.
Some chapters cover certain topics in depth while other chapters suffer from a lack of depth.
E.g. I would have liked to read more about the attentional mechanisms in the brain (we were only given a teaser in the chapter about the thalamus), and the chapter about the hippocampus and memory also left a lot of stuff unexplained.
Some of the theories presented in the book could probably also be improved.
Nevertheless, the book is a delight to read and a great inspiration.
3 of 5 people found the following review helpful
4.0 out of 5 stars An effort but still very apocalyptic,
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. He forgets to say that the brain grows after birth. But he does mention that everything happening while the brain is growing has important consequences on the growth of this brain. But he makes his basic mistake here at the very basis of his approach.
First he considers that "learning and recognition take place simultaneously." (p. 63) He just forget in the womb the fetus cannot learn because all he hears or feels has no referential dimension; These sensations he feels and the sound clusters of any type he hears are registered, that was proved, but with no reference, hence no real meaning, though they can have a comforting or disturbing effect on the fetus along with the mother's mood. After birth it is obvious then the baby has the possibility to attach a referent hence a meaning to what he sees and identifies. At this point it is impossible to say that learning and recognizing happens simultaneously for the same things. You have to learn about something before recognizing it. Even if is only a comforting sensation you have to experience it first, to more or less identify it second before being able to recognize it. Recognition is necessarily second at least because to identify you have to experience several times and that's what he probably means. The first time you just experience, the second time then you recognize and by recognizing you identify even if it is superficially. But there must be a first moment of pure experience. But this is nothing in itself. The main shortcoming at this moment is the absence of any consideration about language. For Kurzweil language, spoken first and written second are the only two inventions of humanity (he says so twice p. 27 and 159) bringing together in one movement two human inventions that have at least 300,000 years between them and it neglects the phylogeny of that linguistic ability. Once again without entering details, language which was oral only for at least 300,000 years out of 305,000 years is an invention of humanity, ,hence of the brain and since language is not something you can touch it is part of the mind. Written language will only come very late in human history. There are still some human groups on the earth that do not write at all.
To invent human articulated language the neocortex has to have a hierarchical organization, which is the case in each column and in the neocortex all together and within the brain between the old brain and the neocortex. That hierarchical architecture of the brain makes the brain only able to function along that line. The hierarchical architecture of the brain produces hierarchical thinking, hierarchical language, hierarchical society, etc. All human activities contain a hierarchical dimension that is the reflection of the architecture of the brain. And here with language you hold an essential line of thought. Every single advancement in phylogeny, in lexicon, in syntax is produced by the mind and each advancement is inscribed in the mind and determines the next advancement. We could show how complex but also how direct and simple this transitive productive process is. What's more the experience of a human being in front of any entity is hierarchical. He must first discriminate it. Then he has to identify it and name it with a new name if it is a new entity or an old name if he recognizes it as already known and named. Then it has to be classified and that leads to another abstract operation that is known has conceptualization. There is no concept if there is no conceptualization; Kurzweil uses the word "concept" several times, though he does not list it in his index, but he does not use the word "conceptualization" which means for him concepts are generated by magic.
It is obvious then that written language amplifies the intellectual conceptualization of people since they do not have to simply remember plain facts that are recorded in books. They can step further into more abstract thinking. Imagine what it is when you have the Internet at the tip of your fingers. There are thus systematic hierarchies that he neglects. From root to theme and then frond at the level of the semantic units of the language often called words. From syncretic concatenation, to clause structure, to multi-clause structure by concatenation and then embedding, as for syntax often called grammar. From simple calls, to orders, to descriptive discourse, to explicative discourse, to any other discourse with an ever higher level of abstraction, social meaning, content or intention, and that has to use various media to be uttered or produced.
But there is more if you cross brain and language.
Each column, and that is Kurzweil's approach, is composed of many modules, each one having about 100 neurons. These modules are connected inside the column in complex intertwined networks. Hence we then have a first hierarchy: neurones and their relations within a module, then modules and their relations within a column and at each level relations between the elements and the direct outside: neurons from one module to neurons from another module in the same column, modules from one column to modules from the same column and to modules from other columns. And yet we miss the spindle neurons that can connect any column to any other column and any module to any other module. These spindle neurons seem to be totally opportunistic and develop according to the needs of this or that moment for this or that individual. We thus get to what Dileep George calls "recursive cortical networks" (quoted p. 152) and I insist on the fact that these networks are growing from nearly conception to death, or at least to an advanced age, as long as we can learn new tricks, that they are flexible and versatile in many ways, which explains why we can learn new things all the time: there is plenty of room in the brain and any learning does not depend on a type of available neurons, they are all basically the same. This enables man to use many ways of thinking and one at least is unpredictable and hence inimitable.
The simplest way is to put together two entities and their proximity implies they are connected. It's what is called syncrertic thinking and it corresponds to what Kurzweil calls "leakage" in the brain, one neuron being in a certain state due to some influx of information coming to it may have a direct influence on its neighbors as if it leaked its information over his surrounding neurons.
Then we can build a deductive argumentation. One event is the cause of another which is the effect of the first one. We can thus build deductive chains. That's the standard reasoning in sciences like mathematics. We can also inverse the reasoning and get into an inductive chain of reasoning. From what I know I induce that this should be true. It is a hypothesis. This is also important in sciences, but also in everyday life like: it was raining yesterday hence my father must have stayed home.
But there is another way of thinking. I call it subduction. The simplest form of subduction is a metaphor; I treat one entity as if it were another and that may reveal an aspect of the first entity I had not seen at first. A metaphor or a subduction does not prove anything. It has to be demonstrated afterwards, but that's how the most creative activities of man develop. We have a deep feeling, a strong emotion, a profound conviction, post traumatic stress, and we draw from this the idea that the working truth should be this or that. It is an induction in a way but a lot vaster and deeper. This sudden truth is the Eureka of Archimedes. A sudden illumination. Note such epiphanies can happen at any time and anywhere and in any field of activity. This subduction corresponds perfectly to the recursive cortical networks Dileep George is speaking of. Note language is not indispensible. A composer can just experience such epiphanies in his composing and he would be unable to explain in words what it means. That's generally why I would consider the artistic creator is the last person who can explain his own creation.
The question that I will only evoke here is where do these elements of the mind of a person register in the brain. Kurzweil does not even ask the question. For him whole lists of patterns as he calls them are available in the various modules. The question is to know where all these elements, patterns or not, are registered. My idea is that we are working at the level of the molecules with particularly the proteins in the microtubules of the neurons since it is proved some of these proteins can vary including in structure when impacted by some influx of information. Same thing about the transportation of the sensorial information from the sensorial organs to the brain: how is it done? A vast discussion is needed here.
The last point I would like to make here is about Artificial Intelligence. Kurzweil's objective is to copy a real brain, or maybe several (though mixing two brains might produce strange effects since there cannot be two brains that are identical due to their psychogenetic history), and then compress the information by cutting out all redundancy and the brain is very redundant. Kurzweil says that should have no effect. I would doubt it since each instance of one piece of information was registered in one specific situation with particular emotional or sensorial elements around it and these variations from one recording to the next of the same item will be lost by compressing. Then he will simulate that compressed version of a brain in an intelligent machine. His machine will only be able to simulate the compressed version of one particular brain and hence will in no way represent the human brain at the level of its abstract totality. But Kurzweil knows it is in many ways bound to be too short:
"Almost certainly we would not find a precise match; the neuronal structure would invariably differ in many details compared with the models in the computer. However, I would maintain that there must be an essential mathematical equivalence to a high degree of precision between the actual biology and our attempt to emulate it; otherwise these systems would not work as well as they do." (p. 153)
What is lost in such a simulation is what makes a brain different from all others, the circumstantial elements attached to each item of knowledge, but it is these elements that may be particularly pervasive in a subductive inspirational way of thinking. A plane after all flies pretty well but it is quite different from a bird, isn't it, though it performs the task of flying quite well.
Dr Jacques COULARDEAU
3 of 5 people found the following review helpful
5.0 out of 5 stars How and why the patterns theory of mind can help to reveal "the secret of human thought",
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 human thought: "In this book, I present a thesis I call the pattern recognition theory of mind (PRTM), which, I argue, describes the basic algorithm of the neocortex (the region of the brain responsible for perception, memory, and critical thinking)...I describe how recent neuroscience research, as well as our own thought experiments, leads to the inescapable conclusion that this method is used consistently across the neocortex. The implication of the PRTM combined with the LOAR [i.e. the law of accelerating returns] is that we will be able to engineer these principles to vastly extend the powers of our own intelligence."
These are among the dozens of passages that caught my eye:
o Riding on a Light Beam (Pages 18-24)
o A Hierarchy of Patterns (35-41)
o The Language of Thought (66-69)
o The Sensory Pathway (94-101)
o Creativity (113-117)
o Neural Nets (131-135)
o Evolutionary (Genetic) Algorithms (147-153)
o A Strategy for Creating a Mind (172-178)
o You Gotta Have Faith (209-215)
o Paul Allen's objections to Kurtzweil's PRTM theory (266-270)
Kurtzweil is convinced -- and, in my opinion, explains convincingly -- that "there are no images, videos, or sound recordings stored in the brain. Our memories are stored as sequences of patterns. Memories that are not accessed [and activated] time over time." Moreover, We can recognize a pattern even if only part of it is perceived (seen heard, felt) and even if it contains alterations. Our recognition ability is apparently able to detect invariant features of a pattern - characteristics that survive real-world variations...Thus our conscious experience of our perception is actually changed by our interpretations."
So what? "This implies that we are constantly predicting the future and hypothesizing what we will experience. This expectation influences what we actually [do and do not] perceive. Predicting the future is actually the primary reason that we have a brain." Creating a new mind, therefore, means changing our expectations that, in turn, will change our perceptions. Kurtzweil's discussion of all this in Chapter 3 reminds me of what is generally referred to as the "Gorilla Experiment," devised by Daniel Simons. Basically, this experiment demonstrates that people often tend to see only what they expect (even if whatever it is isn't there) and not see what they do not expect (despite the fact that it is there). A demonstration of that experiment is among the most popular videos on FaceBook.
No brief commentary such as mine can possibly do full justice to the scope and depth of information, insights, and wisdom that Kurzweil provides in this volume. However, I hope I have given at least some explanation of why so many people hold this book and its author in such high regard. Ray Kurzweil believes that man's destiny involves "waking up the universe, and then intelligently deciding its fate by infusing it with our human intelligence in its nonbiological form." This book makes a major contribution to the process by which to achieve that admirable goal.
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How to Create a Mind: The Secret of Human Thought Revealed by Ray Kurzweil