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Review of Ray Kurzweil’s “How to Create a Mind” – Article by G. Stolyarov II

Review of Ray Kurzweil’s “How to Create a Mind” – Article by G. Stolyarov II

G. Stolyarov II


How to Create a Mind (2012) by inventor and futurist Ray Kurzweil sets forth a case for engineering minds that are able to emulate the complexity of human thought (and exceed it) without the need to reverse-engineer every detail of the human brain or of the plethora of content with which the brain operates. Kurzweil persuasively describes the human conscious mind as based on hierarchies of pattern-recognition algorithms which, even when based on relatively simple rules and heuristics, combine to give rise to the extremely sophisticated emergent properties of conscious awareness and reasoning about the world. How to Create a Mind takes readers through an integrated tour of key historical advances in computer science, physics, mathematics, and neuroscience – among other disciplines – and describes the incremental evolution of computers and artificial-intelligence algorithms toward increasing capabilities – leading toward the not-too-distant future (the late 2020s, according to Kurzweil) during which computers would be able to emulate human minds.

Kurzweil’s fundamental claim is that there is nothing which a biological mind is able to do, of which an artificial mind would be incapable in principle, and that those who posit that the extreme complexity of biological minds is insurmountable are missing the metaphorical forest for the trees. Analogously, although a fractal or a procedurally generated world may be extraordinarily intricate and complex in their details, they can arise on the basis of carrying out simple and conceptually fathomable rules. If appropriate rules are used to construct a system that takes in information about the world and processes and analyzes it in ways conceptually analogous to a human mind, Kurzweil holds that the rest is a matter of having adequate computational and other information-technology resources to carry out the implementation. Much of the first half of the book is devoted to the workings of the human mind, the functions of the various parts of the brain, and the hierarchical pattern recognition in which they engage. Kurzweil also discusses existing “narrow” artificial-intelligence systems, such as IBM’s Watson, language-translation programs, and the mobile-phone “assistants” that have been released in recent years by companies such as Apple and Google. Kurzweil observes that, thus far, the most effective AIs have been developed using a combination of approaches, having some aspects of prescribed rule-following alongside the ability to engage in open-ended “learning” and extrapolation upon the information which they encounter. Kurzweil draws parallels to the more creative or even “transcendent” human abilities – such as those of musical prodigies – and observes that the manner in which those abilities are made possible is not too dissimilar in principle.

With regard to some of Kurzweil’s characterizations, however, I question whether they are universally applicable to all human minds – particularly where he mentions certain limitations – or whether they only pertain to some observed subset of human minds. For instance, Kurzweil describes the ostensible impossibility of reciting the English alphabet backwards without error (absent explicit study of the reverse order), because of the sequential nature in which memories are formed. Yet, upon reading the passage in question, I was able to recite the alphabet backwards without error upon my first attempt. It is true that this occurred more slowly than the forward recitation, but I am aware of why I was able to do it; I perceive larger conceptual structures or bodies of knowledge as mental “objects” of a sort – and these objects possess “landscapes” on which it is possible to move in various directions; the memory is not “hard-coded” in a particular sequence. One particular order of movement does not preclude others, even if those others are less familiar – but the key to successfully reciting the alphabet backwards is to hold it in one’s awareness as a single mental object and move along its “landscape” in the desired direction. (I once memorized how to pronounce ABCDEFGHIJKLMNOPQRSTUVWXYZ as a single continuous word; any other order is slower, but it is quite doable as long as one fully knows the contents of the “object” and keeps it in focus.) This is also possible to do with other bodies of knowledge that one encounters frequently – such as dates of historical events: one visualizes them along the mental object of a timeline, visualizes the entire object, and then moves along it or drops in at various points using whatever sequences are necessary to draw comparisons or identify parallels (e.g., which events happened contemporaneously, or which events influenced which others). I do not know what fraction of the human population carries out these techniques – as the ability to recall facts and dates has always seemed rather straightforward to me, even as it challenged many others. Yet there is no reason why the approaches for more flexible operation with common elements of our awareness cannot be taught to large numbers of people, as these techniques are a matter of how the mind chooses to process, model, and ultimately recombine the data which it encounters. The more general point in relation to Kurzweil’s characterization of human minds is that there may be a greater diversity of human conceptual frameworks and approaches toward cognition than Kurzweil has described. Can an artificially intelligent system be devised to encompass this diversity? This is certainly possible, since the architecture of AI systems would be more flexible than the biological structures of the human brain. Yet it would be necessary for true artificial general intelligences to be able not only to learn using particular predetermined methods, but also to teach themselves new techniques for learning and conceptualization altogether – just as humans are capable of today.

The latter portion of the book is more explicitly philosophical and devoted to thought experiments regarding the nature of the mind, consciousness, identity, free will, and the kinds of transformations that may or may not preserve identity. Many of these discussions are fascinating and erudite – and Kurzweil often transcends fashionable dogmas by bringing in perspectives such as the compatibilist case for free will and the idea that the experiments performed by Benjamin Libet (that showed the existence of certain signals in the brain prior to the conscious decision to perform an activity) do not rule out free will or human agency. It is possible to conceive of such signals as “preparatory work” within the brain to present a decision that could then be accepted or rejected by the conscious mind. Kurzweil draws an analogy to government officials preparing a course of action for the president to either approve or disapprove. “Since the ‘brain’ represented by this analogy involves the unconscious processes of the neocortex (that is, the officials under the president) as well as the conscious processes (the president), we would see neural activity as well as actual actions taking place prior to the official decision’s being made” (p. 231). Kurzweil’s thoughtfulness is an important antidote to commonplace glib assertions that “Experiment X proved that Y [some regularly experienced attribute of humans] is an illusion” – assertions which frequently tend toward cynicism and nihilism if widely adopted and extrapolated upon. It is far more productive to deploy both science and philosophy toward seeking to understand more directly apparent phenomena of human awareness, sensation, and decision-making – instead of rejecting the existence of such phenomena contrary to the evidence of direct experience. Especially if the task is to engineer a mind that has at least the faculties of the human brain, then Kurzweil is wise not to dismiss aspects such as consciousness, free will, and the more elevated emotions, which have been known to philosophers and ordinary people for millennia, and which only predominantly in the 20th century has it become fashionable to disparage in some circles. Kurzweil’s only vulnerability in this area is that he often resorts to statements that he accepts the existence of these aspects “on faith” (although it does not appear to be a particularly religious faith; it is, rather, more analogous to “leaps of faith” in the sense that Albert Einstein referred to them). Kurzweil does not need to do this, as he himself outlines sufficient logical arguments to be able to rationally conclude that attributes such as awareness, free will, and agency upon the world – which have been recognized across predominant historical and colloquial understandings, irrespective of particular religious or philosophical flavors – indeed actually exist and should not be neglected when modeling the human mind or developing artificial minds.

One of the thought experiments presented by Kurzweil is vital to consider, because the process by which an individual’s mind and body might become “upgraded” through future technologies would determine whether that individual is actually preserved – in terms of the aspects of that individual that enable one to conclude that that particular person, and not merely a copy, is still alive and conscious:

Consider this thought experiment: You are in the future with technologies more advanced than today’s. While you are sleeping, some group scans your brain and picks up every salient detail. Perhaps they do this with blood-cell-sized scanning machines traveling in the capillaries of your brain or with some other suitable noninvasive technology, but they have all of the information about your brain at a particular point in time. They also pick up and record any bodily details that might reflect on your state of mind, such as the endocrine system. They instantiate this “mind file” in a morphological body that looks and moves like you and has the requisite subtlety and suppleness to pass for you. In the morning you are informed about this transfer and you watch (perhaps without being noticed) your mind clone, whom we’ll call You 2. You 2 is talking about his or he life as if s/he were you, and relating how s/he discovered that very morning that s/he had been given a much more durable new version 2.0 body. […] The first question to consider is: Is You 2 conscious? Well, s/he certainly seems to be. S/he passes the test I articulated earlier, in that s/he has the subtle cues of becoming a feeling, conscious person. If you are conscious, then so too is You 2.

So if you were to, uh, disappear, no one would notice. You 2 would go around claiming to be you. All of your friends and loved ones would be content with the situation and perhaps pleased that you now have a more durable body and mental substrate than you used to have. Perhaps your more philosophically minded friends would express concerns, but for the most party, everybody would be happy, including you, or at least the person who is convincingly claiming to be you.

So we don’t need your old body and brain anymore, right? Okay if we dispose of it?

You’re probably not going to go along with this. I indicated that the scan was noninvasive, so you are still around and still conscious. Moreover your sense of identity is still with you, not with You 2, even though You 2 thinks s/he is a continuation of you. You 2 might not even be aware that you exist or ever existed. In fact you would not be aware of the existence of You 2 either, if we hadn’t told you about it.

Our conclusion? You 2 is conscious but is a different person than you – You 2 has a different identity. S/he is extremely similar, much more so than a mere genetic clone, because s/he also shares all of your neocortical patterns and connections. Or should I say s/he shared those patterns at the moment s/he was created. At that point, the two of you started to go your own ways, neocortically speaking. You are still around. You are not having the same experiences as You 2. Bottom line: You 2 is not you.  (How to Create a Mind, pp. 243-244)

This thought experiment is essentially the same one as I independently posited in my 2010 essay “How Can Live Forever?: What Does and Does Not Preserve the Self”:

Consider what would happen if a scientist discovered a way to reconstruct, atom by atom, an identical copy of my body, with all of its physical structures and their interrelationships exactly replicating my present condition. If, thereafter, I continued to exist alongside this new individual – call him GSII-2 – it would be clear that he and I would not be the same person. While he would have memories of my past as I experienced it, if he chose to recall those memories, I would not be experiencing his recollection. Moreover, going forward, he would be able to think different thoughts and undertake different actions than the ones I might choose to pursue. I would not be able to directly experience whatever he choose to experience (or experiences involuntarily). He would not have my ‘I-ness’ – which would remain mine only.

Thus, Kurzweil and I agree, at least preliminarily, that an identically constructed copy of oneself does not somehow obtain the identity of the original. Kurzweil and I also agree that a sufficiently gradual replacement of an individual’s cells and perhaps other larger functional units of the organism, including a replacement with non-biological components that are integrated into the body’s processes, would not destroy an individual’s identity (assuming it can be done without collateral damage to other components of the body). Then, however, Kurzweil posits the scenario where one, over time, transforms into an entity that is materially identical to the “You 2” as posited above. He writes:

But we come back to the dilemma I introduced earlier. You, after a period of gradual replacement, are equivalent to You 2 in the scan-and-instantiate scenario, but we decided that You 2 in that scenario does not have the same identity as you. So where does that leave us? (How to Create a Mind, p. 247)

Kurzweil and I are still in agreement that “You 2” in the gradual-replacement scenario could legitimately be a continuation of “You” – but our views diverge when Kurzweil states, “My resolution of the dilemma is this: It is not true that You 2 is not you – it is you. It is just that there are now two of you. That’s not so bad – if you think you are a good thing, then two of you is even better” (p. 247). I disagree. If I (via a continuation of my present vantage point) cannot have the direct, immediate experiences and sensations of GSII-2, then GSII-2 is not me, but rather an individual with a high degree of similarity to me, but with a separate vantage point and separate physical processes, including consciousness. I might not mind the existence of GSII-2 per se, but I would mind if that existence were posited as a sufficient reason to be comfortable with my present instantiation ceasing to exist.  Although Kurzweil correctly reasons through many of the initial hypotheses and intermediate steps leading from them, he ultimately arrives at a “pattern” view of identity, with which I differ. I hold, rather, a “process” view of identity, where a person’s “I-ness” remains the same if “the continuity of bodily processes is preserved even as their physical components are constantly circulating into and out of the body. The mind is essentially a process made possible by the interactions of the brain and the remainder of nervous system with the rest of the body. One’s ‘I-ness’, being a product of the mind, is therefore reliant on the physical continuity of bodily processes, though not necessarily an unbroken continuity of higher consciousness.” (“How Can Live Forever?: What Does and Does Not Preserve the Self”) If only a pattern of one’s mind were preserved and re-instantiated, the result may be potentially indistinguishable from the original person to an external observer, but the original individual would not directly experience the re-instantiation. It is not the content of one’s experiences or personality that is definitive of “I-ness” – but rather the more basic fact that one experiences anything as oneself and not from the vantage point of another individual; this requires the same bodily processes that give rise to the conscious mind to operate without complete interruption. (The extent of permissible partial interruption is difficult to determine precisely and open to debate; general anesthesia is not sufficient to disrupt I-ness, but what about cryonics or shorter-term “suspended animation?). For this reason, the pursuit of biological life extension of one’s present organism remains crucial; one cannot rely merely on one’s “mindfile” being re-instantiated in a hypothetical future after one’s demise. The future of medical care and life extension may certainly involve non-biological enhancements and upgrades, but in the context of augmenting an existing organism, not disposing of that organism.

How to Create a Mind is highly informative for artificial-intelligence researchers and laypersons alike, and it merits revisiting a reference for useful ideas regarding how (at least some) minds operate. It facilitates thoughtful consideration of both the practical methods and more fundamental philosophical implications of the quest to improve the flexibility and autonomy with which our technologies interact with the external world and augment our capabilities. At the same time, as Kurzweil acknowledges, those technologies often lead us to “outsource” many of our own functions to them – as is the case, for instance, with vast amounts of human memories and creations residing on smartphones and in the “cloud”. If the timeframes of arrival of human-like AI capabilities match those described by Kurzweil in his characterization of the “law of accelerating returns”, then questions regarding what constitutes a mind sufficiently like our own – and how we will treat those minds – will become ever more salient in the proximate future. It is important, however, for interest in advancing this field to become more widespread, and for political, cultural, and attitudinal barriers to its advancement to be lifted – for, unlike Kurzweil, I do not consider the advances of technology to be inevitable or unstoppable. We humans maintain the responsibility of persuading enough other humans that the pursuit of these advances is worthwhile and will greatly improve the length and quality of our lives, while enhancing our capabilities and attainable outcomes. Every movement along an exponential growth curve is due to a deliberate push upward by the efforts of the minds of the creators of progress and using the machines they have built.

This article is made available pursuant to the Creative Commons Attribution 4.0 International License, which requires that credit be given to the author, Gennady Stolyarov II (G. Stolyarov II). Learn more about Mr. Stolyarov here

Jessica Milne – Presentation on Decentralizing Trust at the California Transhumanist Party Leadership Meeting

Jessica Milne – Presentation on Decentralizing Trust at the California Transhumanist Party Leadership Meeting

Jessica Milne


The California Transhumanist Party held its inaugural Leadership Meeting on January 27, 2018.

Jessica Milne, the California Transhumanist Party’s Director of Information Science and Technology, delivered a presentation entitled, “De-Centralizing Trust: A map to a better tomorrow”, on the subject of organizational dynamics and the various roles individuals tend to fall into in today’s organizations (as well as whether there might be a better way). This video includes a recording of the presentation and the subsequent interaction with the audience, including U.S. Transhumanist Party Chairman Gennady Stolyarov II, California Transhumanist Party Chairman Newton Lee, and California Transhumanist Party Director of Networking Charlie Kam.

Watch the first video from the California Transhumanist Party Leadership Meeting, featuring a presentation by Newton Lee and ensuing discussion on Transhumanist political efforts, here.

Visit the website of the California Transhumanist Party:http://www.californiatranshumanistparty.org/index.html

Read the U.S. Transhumanist Party Constitution: http://transhumanist-party.org/constitution/

Become a member of the U.S. Transhumanist Party for free: http://transhumanist-party.org/membership/

(If you reside in California, this would automatically render you a member of the California Transhumanist Party.)

Review of Tyler Cowen’s “The Great Stagnation: How America Ate All the Low-Hanging Fruit of Modern History, Got Sick, and Will (Eventually) Feel Better” – Article by Kevin A. Carson

Review of Tyler Cowen’s “The Great Stagnation: How America Ate All the Low-Hanging Fruit of Modern History, Got Sick, and Will (Eventually) Feel Better” – Article by Kevin A. Carson

The New Renaissance Hat
Kevin A. Carson
July 4, 2012
******************************
Stagnation [for Carson]
Published by: Dutton Adult • Year: 2011 • Price: $12.95 • Pages: 128 •

Tyler Cowen’s thesis is that economic growth is leveling off and rates of return decreasing because we’ve already picked the “low-hanging fruit” (meaning innovations and investments that have high returns). The stagnation in GDP and median income in recent decades means “the pace of technological development has slowed down,” and the general population is benefiting less from new ideas.

I would argue, rather, that measured economic growth and income have slowed down precisely because of the increased pace of technological development.

The important trend behind the disappearance of “low-hanging fruit” is the decoupling of improved material quality of life from monetized measures of economic growth and income. Improvements in quality of life—although very real—don’t show up in conventional econometric terms.

Intensive development—increased efficiency in the use of inputs—isn’t necessarily reflected in increased money returns. Unless they’re turned into a source of rents by restrictions on competition, innovations that reduce production costs will benefit consumers in lower prices and better products.

Such rents are central to the business model of “cognitive capitalism”—the “progressive” model of capitalism pushed by Bill Gates and Warren Buffett. The most profitable industries in recent years have been those that depend on returns from “intellectual property.” But such artificial scarcities are fast becoming unenforceable, and technologies of abundance are growing so rapidly that they can’t be enclosed as a source of rents.

If anything, we can expect an implosion in metrics like GDP in the coming years, even as quality of life improves enormously.

Cowen almost gets it at one point. “[I]f our food supply chain harvests, retails and sells an apple for $1, that adds a dollar to measured national income.” Exactly: GDP measures value produced in terms of the total cost of inputs consumed—not the use-value we consume, but how much stuff was used up producing it. So anything that reduces the input costs of our standard of living seems to show up as negative growth.

Actually, Cowen contradicts his own thesis. He argues that official GDP figures exaggerate growth because so much of it is simply waste. But that undermines his treatment of reduced money incomes as a proxy for reduced growth in standard of living. If the additional portion of the GDP we spend on waste—and the hours we worked to pay for it—simply disappeared, we’d be better off by that much. He can’t argue both that economic growth is the best measure of technical progress and that the levels of growth that have occurred have too little to do with real productivity.

To be sure, Cowen does address the supposed diminishing returns of technological progress in terms of personal use-value. The blockbuster innovations with the biggest effect on our daily lives, he says, have already been adopted: antibiotics, automobiles, refrigerators, television, air conditioning. There’s been far less change in the character of daily life since 1960 than before. Aside from the Internet, recent innovations have been mostly incremental.

The Internet itself, Cowen argues, may be important in terms of personal happiness, but not of generating either revenue or employment. But to treat revenue generation and employment as ends in themselves—rather than a way to pay for stuff—is perverse. If the price of what we need falls because the amount of labor and capital needed to produce it falls, then we need less revenue—and less labor—for the same standard of living. The real significance of what Cowen mistakenly calls “stagnation” is that a growing share of our needs is being decoupled from revenue by technologies of abundance.

The reduced wage employment needed to produce our standard of living, as such, is a good thing. What’s bad is when artificial property rights enable rentier classes to appropriate the benefits of increased productivity for themselves. Our goal should not be to increase the number of “full-time jobs,” but to make sure that the productivity of the hours we do work is fully internalized.

Cowen focuses mainly on the Internet as part of the furniture of daily life—the fun of web surfing—to the neglect of a far more important benefit: the basic way society itself is organized, the relative power of the individual and networks versus large institutions, and the declining ability of hierarchies to enforce their will on us.

His focus on the objects of daily life ignores revolutionary changes in the way they’re made and on the structure of the economy. There’s not such a revolutionary change in going from picture tubes to gel panels, or from carburetors to fuel injectors. But there’s an enormous difference between John Kenneth Galbraith’s mass-production oligopoly economy and one of networked garage shops using cheap machine tools.

C4SS Senior Fellow Kevin Carson is a contemporary mutualist author and individualist anarchist whose written work includes Studies in Mutualist Political Economy, Organization Theory: An Individualist Anarchist Perspective, and The Homebrew Industrial Revolution: A Low-Overhead Manifesto, all of which are freely available online. Carson has also written for such print publications as The Freeman: Ideas on Liberty and a variety of internet-based journals and blogs, including Just Things, The Art of the Possible, the P2P Foundation and his own Mutualist Blog.

This article was published by The Foundation for Economic Education and may be freely distributed, subject to a Creative Commons Attribution United States License, which requires that credit be given to the author.