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Gennady Stolyarov I and Gennady Stolyarov II Discuss the Progress of Information Technology (2019)

Gennady Stolyarov I and Gennady Stolyarov II Discuss the Progress of Information Technology (2019)

Gennady Stolyarov I and Gennady Stolyarov II

On January 5, 2019, I spoke with my grandfather, Gennady Stolyarov I (1933-2025), who was one of the pioneering developers of computers in the Soviet Union, regarding his thoughts about how technology and the manner in which we interact with information have evolved during his lifetime and his anticipations about the future. At the time, when he was already 85 years old, he anticipated technology that would directly read human thoughts, advances in artificial intelligence, and even AI personal assistants, as well as using AIs to compose music and develop new inventions.

The discussion was originally conducted in Russian and translated into English by me.

~ Gennady Stolyarov II, January 27, 2025


Conversation of January 5, 2019

Gennady Stolyarov II (GSII): What is the primary difference between how people relate to information now as compared to the mid-20th century?

Gennady Stolyarov I (GSI): On the Internet today there is a far greater volume of content; it is incomparable with what one would have been able to find in books alone.

GSII: So this gives rise to an interesting question: how to increase the capacity of the human brain to absorb all of this information – since there is so much more information, but our brains remain the same?

GSI: I think that it will become possible to simply read thoughts directly and also to direct ideas into the mind. It is clear that the speed of work of which a computer is capable is incomparable to that of your mind. Therefore, systems will be developed so that, instead of spending so much time pressing buttons, one could analyze the electrical signals of the brain and search accordingly, forming an impression of what one wants to find. The mind already somehow formulates the goal of the search; it should be possible to improve the interface between the mind and the computer so that the computer perceives that goal clearly.

GSII: Even today, it is already the case that the information that one wishes to discover exists. For instance, on my mobile phone, it is possible to locate information on almost anything, but that information is not yet immediately accessible, in the sense that one must type something in, search for something – this is not always convenient.

GSI: Yes, exactly.

GSII: And furthermore, the human mind does not directly absorb the information; one must still read it and be capable of understanding the external content in some manner.

GSI: Yes.

GSII: I think that this is a barrier today, because there is a tremendous amount of information, including on science, current world events, history. It is possible to gather many facts, but the human brain is still as primitive as it has previously been.

GSI: Well, it is very difficult to call the brain “primitive”! After all, we still do not understand how it operates! But it would be possible relatively soon to develop this interface that I described for reading your mind in some manner regarding what you would like to search for. Even now there are attempts to access a person’s data – sometimes regrettably, as this may not coincide with a person’s wishes. However, the information that you access or generate can be restructured, regrouped. This could be a useful underprinning for later reorganizing information in accordance with your wishes and conceptions, into a form that is comfortable for you.

GSII: At present, there exist data about a person on various social networks. There is also information from businesses, from commercial transactions – and there is the question of who owns that information. My view is that individuals themselves should own their data and have the right to determine what happens to them – i.e., if anyone else uses that information, it should be with permission to use it for specified purposes.

GSI: It is necessary to develop an artificial intellect that would be capable of reasoning; right now, you are able to search by keywords – but this process should be simplified further, because it has become tedious to press keys on a keyboard; it consumes far too much time. But I think these improvements will arrive quickly enough. The artificial intellect will be able to sort data in accordance with your wishes and group the information it finds into useful categories. It will remember past queries that were made and related information. You might be making an inquiry about something, and you would see a semantic web of terms – showing you what else exists and suggest what you could search for next. For instance, there could be sidebars dedicated to this, and you would pose a query, and you would be asked if you would like a historical view of the matter – what existed previously, what exists now, what are the outlooks for the future; the system will find all this for you. Every step in this direction will substantially increase a person’s intellectual capabilities. This will be a highly interesting field to pursue, and in my view highly effective.

GSII: There are already algorithms which, if you are watching a video, will show you some related videos. Or you could be purchasing something on Amazon or browsing products there; you would be shown similar products.

In 2014 Google conducted its experiment with Google Glass – glasses with a computer display that showed various information – for instance, data about a place that a person was visiting – but this was a closed experiment for a small group of people that still paid over a thousand dollars to participate. Google did not sell Google Glass to the general public who were not signed up for the trial program, and when Google began its experiment, I think the people who did not have Google Glass were envious of those who did. Those who wore the glasses in public places experienced discrimination and complaints, and ultimately Google ended the trial. I think if Google had initially sold Google Glass products to everyone, then it would have been treated no differently from many other new technologies – for instance, mobile phones. Generally, people are not protesting against mobile phones.

GSI: This is true.

GSII: Was earlier technology – for instance, the large computers from the 1960s – more difficult to use compared to today?

GSI: No, the interface with the computer was far more primitive and quite simple to use. This is one of the reasons I think you are much better prepared than I am to interact with new technologies and devices. The interface will continue to be improved; it will present results informatively, work out associations, group and systematize data. This data processing is all work that you could do yourself, but the system will add value in that it could store far larger amounts of data and, based on the extent of progress in artificial intelligence, help you extract from the surrounding informational universe those parts in which you are interested. It would determine your profile; already the beginnings of this are occurring, as you are receiving automatically generated suggestions. And indeed the more sophisticated systems are already under development; improvements occur with every new operating system, and I often see various updates installing on my computer. I am actually a bit frustrated by this, because after the update is installed, one often has to learn to use the interface once again. I do not like that changes are constantly being introduced, and one needs to somehow adjust to them, and one completely lacks the eagerness to spend time on that.

GSII: Yes, but that will also happen with newer versions of operating systems that will replace existing ones entirely, such as Windows 10 replacing Windows 7 and Microsoft discontinuing support for Windows 7 in 2020.

GSI: This is a well-known contradiction [in regard to updates making a system more difficult to use because of the learning curve].

GSII: Now companies are frequently changing and updating their software, and I think it is easier when they update something that the user does not immediately see and use – such as a system file.

GSI: It is important for the user to have freedom from the involuntary introduction of changes to his systems. If he would like to use the new capabilities, there should be open access to them, but old functionalities should not be impacted.

GSII: Yes. What I dislike most about these updates is that the user interface is changed and previous options are sometimes removed.  Perhaps it may be possible for technologies in the future to help humans better and more rapidly adapt to such changes.

More generally, if through some method, using electrical signals, it were possible to download information into a human brain – so that humans would gain the capability to process information from the Internet much more rapidly – in your mind would this improve the quality of human decisions and behaviors? Would humans at last become enlightened?

GSI: This can happen, but it will be necessary to study and comprehend the brain in greater depth. This is extremely important. Actually, in the future your conversational partner will need to be an artificial intellect. You will be interested in some specific kinds of artificial intelligence, in the sphere of your interests and endeavors. Possible applications are quite varied. For some people, the artificial intelligence could aid in composing music. For others, it could help them track down criminals. For others still, it could help them create new inventions. The artificial intellects will be able to connect, analyze information, prepare data for use, systematize materials that you have gathered, This will be a personalized approach; the computer will, as this field progresses, become increasingly specialized toward fulfilling your needs.

GSII: So in essence these will be personal assistants in the form of artificial intelligences.

GSI: Yes.

GSII: What will happen to the interactions between people? What will happen if every person has an artificially intelligent assistant with access to facts and the ability to analyze them?

GSI: Then the artificial intelligences will establish their own network with the AI assistants of your colleagues. They will process information jointly and also present the results of your reasoning to others.

GSII: It is an interesting idea, that if people have these assistants, the assistants will communicate with one another as well – not just with people directly. This is similar to what secretaries of people in leadership positions might have done in the past, before the actual leaders would communicate with one another.

GSI: Also relevant to the topic of the conversation is a television documentary I saw recently, which showed that there already exist programs to create a simulated environment for a patient – for instance, in response to an injury to the nervous system, it is possible to create some kind of illusory world in which the patient could act and develop some sorts of skills. They also showed some interesting images [of the simulated environments] – so all this is also from that sphere of activity.

GSII: Yes, virtual reality is used for medical applications currently.

GSI: Yes, but the most important thing is that the technology that they are applying also follows the general idea that we discussed. The psychologists and neurologists working on this technology are developing an artificial reality.  This is from the same repertoire of approaches.

GSII: Yes, today it is possible for several hundred dollars to purchase glasses to visit virtual spaces. There are games, educational applications, various virtual worlds. Of course, they will need to be developed further and made more accessible to the majority of people. The technology is still not ideal, but something can already be accomplished.

Pictured here are several of Gennady Stolyarov I’s main medals, most prominently the Charles Babbage Medal for the IEEE Computer Pioneer Award, which he received during his visit to Boston in November 2002. Also pictured here are medals that depict Konstantin Tsiolkovsky and Yuri Gagarin.
Transhumanism, Technology, and Science: To Say It’s Impossible Is to Mock History Itself – Article by Franco Cortese

Transhumanism, Technology, and Science: To Say It’s Impossible Is to Mock History Itself – Article by Franco Cortese

The New Renaissance Hat
Franco Cortese
June 30, 2013
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One of the most common arguments made against Transhumanism, Technoprogressivism, and the transformative potentials of emerging, converging, disruptive and transformative technologies may also be the weakest: technical infeasibility. While some thinkers attack the veracity of Transhumanist claims on moral grounds, arguing that we are committing a transgression against human dignity (in turn often based on ontological grounds of a static human nature that shan’t be tampered with) or on grounds of safety, arguing that humanity isn’t responsible enough to wield such technologies without unleashing their destructive capabilities, these categories of counter-argument (efficacy and safety, respectively) are more often than not made by people somewhat more familiar with the community and its common points of rhetoric.
***
In other words these are the real salient and significant problems needing to be addressed by Transhumanist and Technoprogressive communities. The good news is that the ones making the most progress in terms of deliberating the possible repercussions of emerging technologies are Transhumanist and Technoprogressive communities. The large majority of thinkers and theoreticians working on Existential Risk and Global Catastrophic Risk, like The Future of Humanity Institute and the Lifeboat Foundation, share Technoprogressive inclinations. Meanwhile, the largest proponents of the need to ensure wide availability of enhancement technologies, as well as the need for provision of personhood rights to non-biologically-substrated persons, are found amidst the ranks of Technoprogressive Think Tanks like the IEET.
***

A more frequent Anti-Transhumanist and Anti-Technoprogressive counter-argument, by contrast, and one most often launched by people approaching Transhumanist and Technoprogressive communities from the outside, with little familiarity with their common points of rhetoric, is the claim of technical infeasibility based upon little more than sheer incredulity.

Sometimes a concept or notion simply seems too unprecedented to be possible. But it’s just too easy for us to get stuck in a spacetime rut along the continuum of culture and feel that if something were possible, it would have either already happened or would be in the final stages of completion today. “If something is possible, when why hasn’t anyone done it Shouldn’t the fact that it has yet to be accomplished indicate that it isn’t possible?” This conflates ought with is (which Hume showed us is a fallacy) and ought with can. Ought is not necessarily correlative with either. At the risk of saying the laughably-obvious, something must occur at some point in order for it to occur at all. The Moon landing happened in 1969 because it happened in 1969, and to have argued in 1968 that it simply wasn’t possible solely because it had never been done before would not have been  a valid argument for its technical infeasibility.

If history has shown us anything, it has shown us that history is a fantastically poor indicator of what will and will not become feasible in the future. Statistically speaking, it seems as though the majority of things that were said to be impossible to implement via technology have nonetheless come into being. Likewise, it seems as though the majority of feats it was said to be possible to facilitate via technology have also come into being. The ability to possiblize the seemingly impossible via technological and methodological in(ter)vention has been exemplified throughout the course of human history so prominently that we might as well consider it a statistical law.

We can feel the sheer fallibility of the infeasibility-from-incredulity argument intuitively when we consider how credible it would have seemed a mere 100 years ago to claim that we would soon be able to send sentences into the air, to be routed to a device in your pocket (and only your pocket, not the device in the pocket of the person sitting right beside you). How likely would it have seemed 200 years ago if you claimed that 200 years hence it would be possible to sit comfortably and quietly in a chair in the sky, inside a large tube of metal that fails to fall fatally to the ground?

Simply look around you. An idiosyncratic genus of great ape did this! Consider how remarkably absurd it would seem for the gorilla genus to have coordinated their efforts to build skyscrapers; to engineer devices that took them to the Moon; to be able to send a warning or mating call to the other side of the earth in less time than such a call could actually be made via physical vocal cords. We live in a world of artificial wonder, and act as though it were the most mundane thing in the world. But considered in terms of geological time, the unprecedented feat of culture and artificial artifact just happened. We are still in the fledging infancy of the future, which only began when we began making it ourselves.
***

We have no reason whatsoever to doubt the eventual technological feasibility of anything, really, when we consider all the things that were said to be impossible yet happened, all the things that were said to be possible and did happen, and all the things that were unforeseen completely yet happened nonetheless. In light of history, it seems more likely than a given thing would eventually be possible via technology than that it wouldn’t ever be possible. I fully appreciate the grandeur of this claim – but I stand by it nonetheless. To claim that a given ability will probably not be eventually possible to implement via technology is to laugh in the face of history to some extent.

The main exceptions to this claim are abilities wherein you limit or specify the route of implementation. Thus it probably would not be eventually possible to, say, infer the states of all the atoms comprising the Eifel Tower from the state of a single atom in your fingernail: categories of ability where you specify the implementation as the end-ability – as in the case above, the end ability was to infer the state of all the atoms in the Eifel Tower from the state of a single atom.

These exceptions also serve to illustrate the paramount feature allowing technology to possiblize the seemingly improbable: novel means of implementation. Very often there is a bottleneck in the current system we use to accomplish something that limits the scope of tis abilities and prevents certain objectives from being facilitated by it. In such cases a whole new paradigm of approach is what moves progress forward to realizing that objective. If the goal is the reversal and indefinite remediation of the causes and sources of aging, the paradigms of medicine available at the turn of the 20th century would have seemed to be unable to accomplish such a feat.

The new paradigm of biotechnology and genetic engineering was needed to formulate a scientifically plausible route to the reversal of aging-correlated molecular damage – a paradigm somewhat non-inherent in the medical paradigms and practices common at the turn of the 20th Century. It is the notion of a new route to implementation, a wholly novel way of making the changes that could lead to a given desired objective, that constitutes the real ability-actualizing capacity of technology – and one that such cases of specified implementation fail to take account of.

One might think that there are other clear exceptions to this as well: devices or abilities that contradict the laws of physics as we currently understand them – e.g., perpetual-motion machines. Yet even here we see many historical antecedents exemplifying our short-sighted foresight in regard to “the laws of physics”. Our understanding of the physical “laws” of the universe undergo massive upheaval from generation to generation. Thomas Kuhn’s The Structure of Scientific Revolutions challenged the predominant view that scientific progress occurred by accumulated development and discovery when he argued that scientific progress is instead driven by the rise of new conceptual paradigms categorically dissimilar to those that preceded it (Kuhn, 1962), and which then define the new predominant directions in research, development, and discovery in almost all areas of scientific discovery and conceptualization.

Kuhn’s insight can be seen to be paralleled by the recent rise in popularity of Singularitarianism, which today seems to have lost its strict association with I.J. Good‘s posited type of intelligence explosion created via recursively self-modifying strong AI, and now seems to encompass any vision of a profound transformation of humanity or society through technological growth, and the introduction of truly disruptive emerging and converging (e.g., NBIC) technologies.

This epistemic paradigm holds that the future is less determined by the smooth progression of existing trends and more by the massive impact of specific technologies and occurrences – the revolution of innovation. Kurzweil’s own version of Singularitarianism (Kurzweil, 2005) uses the systemic progression of trends in order to predict a state of affairs created by the convergence of such trends, wherein the predictable progression of trends points to their own destruction in a sense, as the trends culminate in our inability to predict past that point. We can predict that there are factors that will significantly impede our predictive ability thereafter. Kurzweil’s and Kuhn’s thinking are also paralleled by Buckminster Fuller in his notion of ephemeralization (i.e., doing more with less), the post-industrial information economies and socioeconomic paradigms described by Alvin Toffler (Toffler, 1970), John Naisbitt (Naisbitt 1982), and Daniel Bell (Bell, 1973), among others.

It can also partly be seen to be inherent in almost all formulations of technological determinism, especially variants of what I call reciprocal technological determinism (not simply that technology determines or largely constitutes the determining factors of societal states of affairs, not simply that tech affects culture, but rather than culture affects technology which then affects culture which then affects technology) a là Marshall McLuhan (McLuhan, 1964) . This broad epistemic paradigm, wherein the state of progress is more determined by small but radically disruptive changes, innovation, and deviations rather than the continuation or convergence of smooth and slow-changing trends, can be seen to be inherent in variants of technological determinism because technology is ipso facto (or by its very defining attributes) categorically new and paradigmically disruptive, and if culture is affected significantly by technology, then it is also affected by punctuated instances of unintended radical innovation untended by trends.

That being said, as Kurzweil has noted, a given technological paradigm “grows out of” the paradigm preceding it, and so the extents and conditions of a given paradigm will to some extent determine the conditions and allowances of the next paradigm. But that is not to say that they are predictable; they may be inherent while still remaining non-apparent. After all, the increasing trend of mechanical components’ increasing miniaturization could be seen hundreds of years ago (e.g., Babbage knew that the mechanical precision available via the manufacturing paradigms of his time would impede his ability in realizing his Baggage Engine, but that its implementation would one day be possible by the trend of increasingly precise manufacturing standards), but the fact that it could continue to culminate in the ephemeralization of Bucky Fuller (Fuller, 1976) or the mechanosynthesis of K. Eric Drexler (Drexler, 1986).

Moreover, the types of occurrence allowed by a given scientific or methodological paradigm seem at least intuitively to expand, rather than contract, as we move forward through history. This can be seen lucidly in the rise of Quantum Physics in the early 20th Century, which delivered such conceptual affronts to our intuitive notions of the possible as non-locality (i.e., quantum entanglement – and with it quantum information teleportation and even quantum energy teleportation, or in other words faster-than-light causal correlation between spatially separated physical entities), Einstein’s theory of relativity (which implied such counter-intuitive notions as measurement of quantities being relative to the velocity of the observer, e.g., the passing of time as measured by clocks will be different in space than on earth), and the hidden-variable theory of David Bohm (which implied such notions as the velocity of any one particle being determined by the configuration of the entire universe). These notions belligerently contradict what we feel intuitively to be possible. Here we have claims that such strange abilities as informational and energetic teleportation, faster-than-light causality (or at least faster-than-light correlation of physical and/or informational states) and spacetime dilation are natural, non-technological properties and abilities of the physical universe.

Technology is Man’s foremost mediator of change; it is by and large through the use of technology that we expand the parameters of the possible. This is why the fact that these seemingly fantastic feats were claimed to be possible “naturally”, without technological implementation or mediation, is so significant. The notion that they are possible without technology makes them all the more fantastical and intuitively improbable.

We also sometimes forget the even more fantastic claims of what can be done through the use of technology, such as stellar engineering and mega-scale engineering, made by some of big names in science. There is the Dyson Sphere of Freeman Dyson, which details a technological method of harnessing potentially the entire energetic output of a star (Dyson,  1960). One can also find speculation made by Dyson concerning the ability for “life and communication [to] continue for ever, using a finite store of energy” in an open universe by utilizing smaller and smaller amounts of energy to power slower and slower computationally emulated instances of thought (Dyson, 1979).

There is the Tipler Cylinder (also called the Tipler Time Machine) of Frank J. Tipler, which described a dense cylinder of infinite length rotating about its longitudinal axis to create closed timelike curves (Tipler, 1974). While Tipler speculated that a cylinder of finite length could produce the same effect if rotated fast enough, he didn’t provide a mathematical solution for this second claim. There is also speculation by Tipler on the ability to utilize energy harnessed from gravitational shear created by the forced collapse of the universe at different rates and different directions, which he argues would allow the universe’s computational capacity to diverge to infinity, essentially providing computationally emulated humans and civilizations the ability to run for an infinite duration of subjective time (Tipler, 1986, 1997).

We see such feats of technological grandeur paralleled by Kurt Gödel, who produced an exact solution to the Einstein field equations that describes a cosmological model of a rotating universe (Gödel, 1949). While cosmological evidence (e.g., suggesting that our universe is not a rotating one) indicates that his solution doesn’t describe the universe we live in, it nonetheless constitutes a hypothetically possible cosmology in which time-travel (again, via a closed timelike curve) is possible. And because closed timelike curves seem to require large amounts of acceleration – i.e. amounts not attainable without the use of technology – Gödel’s case constitutes a hypothetical cosmological model allowing for technological time-travel (which might be non-obvious, since Gödel’s case doesn’t involve such technological feats as a rotating cylinder of infinite length, rather being a result derived from specific physical and cosmological – i.e., non-technological – constants and properties).

These are large claims made by large names in science (i.e., people who do not make claims frivolously, and in most cases require quantitative indications of their possibility, often in the form of mathematical solutions, as in the cases mentioned above) and all of which are made possible solely through the use of technology. Such technological feats as the computational emulation of the human nervous system and the technological eradication of involuntary death pale in comparison to the sheer grandeur of the claims and conceptualizations outlined above.

We live in a very strange universe, which is easy to forget midst our feigned mundanity. We have no excuse to express incredulity at Transhumanist and Technoprogressive conceptualizations considering how stoically we accept such notions as the existence of sentient matter (i.e., biological intelligence) or the ability of a genus of great ape to stand on extraterrestrial land.

Thus, one of the most common counter-arguments launched at many Transhumanist and Technoprogressive claims and conceptualizations – namely, technical infeasibility based upon nothing more than incredulity and/or the lack of a definitive historical precedent – is one of the most baseless counter-arguments as well. It would be far more credible to argue for the technical infeasibility of a given endeavor within a certain time-frame. Not only do we have little, if any, indication that a given ability or endeavor will fail to eventually become realizable via technology given enough development-time, but we even have historical indication of the very antithesis of this claim, in the form of the many, many instances in which a given endeavor or feat was said to be impossible, only to be realized via technological mediation thereafter.

It is high time we accepted the fallibility of base incredulity and the infeasibility of the technical-infeasibility argument. I remain stoically incredulous at the audacity of fundamental incredulity, for nothing should be incredulous to man, who makes his own credibility in any case, and who is most at home in the necessary superfluous.

Franco Cortese is an editor for Transhumanity.net, as well as one of its most frequent contributors.  He has also published articles and essays on Immortal Life and The Rational Argumentator. He contributed 4 essays and 7 debate responses to the digital anthology Human Destiny is to Eliminate Death: Essays, Rants and Arguments About Immortality.

Franco is an Advisor for Lifeboat Foundation (on its Futurists Board and its Life Extension Board) and contributes regularly to its blog.

References

Bell, D. (1973). “The Coming of Post-Industrial Society: A Venture in Social Forecasting, Daniel Bell.” New York: Basic Books, ISBN 0-465-01281-7.

Dyson, F. (1960) “Search for Artificial Stellar Sources of Infrared Radiation”. Science 131: 1667-1668.

Dyson, F. (1979). “Time without end: Physics and biology in an open universe,” Reviews of Modern Physics 51 (3): 447-460.

Fuller, R.B. (1938). “Nine Chains to the Moon.” Anchor Books pp. 252–59.

Gödel, K. (1949). “An example of a new type of cosmological solution of Einstein’s field equations of gravitation”. Rev. Mod. Phys. 21 (3): 447–450.

Kuhn, Thomas S. (1962). “The Structure of Scientific Revolutions (1st ed.).” University of Chicago Press. LCCN 62019621.

Kurzweil, R. (2005). “The Singularity is Near.” Penguin Books.

Mcluhan, M. (1964). “Understanding Media: The Extensions of Man”. 1st Ed. McGraw Hill, NY.

Niasbitt, J. (1982). “Megatrends.” Ten New Directions Transforming Our Lives. Warner Books.

Tipler, F. (1974) “Rotating Cylinders and Global Causality Violation”. Physical Review D9, 2203-2206.

Tipler, F. (1986). “Cosmological Limits on Computation”, International Journal of Theoretical Physics 25 (6): 617-661.

Tipler, F. (1997). The Physics of Immortality: Modern Cosmology, God and the Resurrection of the Dead. New York: Doubleday. ISBN 0-385-46798-2.

Toffler, A. (1970). “Future shock.” New York: Random House.