Technological singularity

From Wikipedia, the free encyclopedia
  (Redirected from Technological Singularity)
Jump to: navigation, search

The technological singularity is a hypothetical event related to the advent of artificial general intelligence (also known as "strong AI"). Such a computer, computer network, or robot would theoretically be capable of recursive self-improvement (redesigning itself), or of designing and building computers or robots better than itself. Repetitions of this cycle would likely result in a runaway effect – an intelligence explosion[1][2] – where smart machines design successive generations of increasingly powerful machines, creating intelligence far exceeding human intellectual capacity and control. Because the capabilities of such a superintelligence may be impossible for a human to comprehend, the technological singularity is the point beyond which events may become unpredictable or even unfathomable to human intelligence.[3][4]

The first use of the term "singularity" in this context was made in 1958 by the Hungarian born mathematician and physicist John von Neumann. In 1958, regarding a summary of a conversation with von Neumann, Stanislaw Ulam described "ever accelerating progress of technology and changes in the mode of human life, which gives the appearance of approaching some essential singularity in the history of the race beyond which human affairs, as we know them, could not continue".[5] The term was popularized by mathematician, computer scientist and science fiction author Vernor Vinge, who argues that artificial intelligence, human biological enhancement, or brain–computer interfaces could be possible causes of the singularity.[6] Futurist Ray Kurzweil cited von Neumann's use of the term in a foreword to von Neumann's classic The Computer and the Brain.

Kurzweil predicts the singularity to occur around 2045[7] whereas Vinge predicts some time before 2030.[8] At the 2012 Singularity Summit, Stuart Armstrong did a study of artificial general intelligence (AGI) predictions by experts and found a wide range of predicted dates, with a median value of 2040. Discussing the level of uncertainty in AGI estimates, Armstrong said in 2012, "It's not fully formalized, but my current 80% estimate is something like five to 100 years."[9]


Intelligence explosion[edit]

Strong AI might bring about an intelligence explosion, a term coined in 1965 by I. J. Good.[10] Although technological progress has been accelerating, it has been limited by the basic intelligence of the human brain, which has not, according to Paul R. Ehrlich, changed significantly for millennia.[11] However, with the increasing power of computers and other technologies, it might eventually be possible to build a machine that is more intelligent than humanity.[12] If a superhuman intelligence were to be invented—either through the amplification of human intelligence or through artificial intelligence—it might be able to bring to bear greater problem-solving and inventive skills than current humans are capable of. It might then design an even more capable machine, or re-write its own software to become even more intelligent. This more capable machine could then go on to design a machine of yet greater capability. These iterations of recursive self-improvement could accelerate, potentially allowing enormous qualitative change before any upper limits imposed by the laws of physics or theoretical computation set in.[13][14][15]

Emergence of superintelligence[edit]

Main article: Superintelligence

Many of the most recognized writers on the singularity, such as Vernor Vinge and Ray Kurzweil, define the concept in terms of the technological creation of superintelligence. They argue that it is difficult or impossible for present-day humans to predict what human beings' lives will be like in a post-singularity world.[7][8][16] The term "technological singularity" was originally coined by Vinge, who made an analogy between the breakdown in our ability to predict what would happen after the development of superintelligence and the breakdown of the predictive ability of modern physics at the space-time singularity beyond the event horizon of a black hole.[16]

Non-AI singularity[edit]

Some writers use "the singularity" in a broader way to refer to any radical changes in our society brought about by new technologies such as molecular nanotechnology,[17][18][19] although Vinge and other prominent writers specifically state that without superintelligence, such changes would not qualify as a true singularity.[8] Many writers also tie the singularity to observations of exponential growth in various technologies (with Moore's Law being the most prominent example), using such observations as a basis for predicting that the singularity is likely to happen sometime within the 21st century.[18][20]


Gary Marcus claims that "virtually everyone in the A.I. field believes" that machines will one day overtake humans and "at some level, the only real difference between enthusiasts and skeptics is a time frame."[21] However, many prominent technologists and academics dispute the plausibility of a technological singularity, including Paul Allen, Jeff Hawkins, John Holland, Jaron Lanier, and Gordon Moore, whose Moore's Law is often cited in support of the concept.[22][23][24]

Likely cause: exponential growth[edit]

Ray Kurzweil writes that, due to paradigm shifts, a trend of exponential growth extends Moore's law from integrated circuits to earlier transistors, vacuum tubes, relays, and electromechanical computers. He predicts that the exponential growth will continue, and that in a few decades the computing power of all computers will exceed that of ("unenhanced") human brains, with superhuman artificial intelligence appearing around the same time.

The exponential growth in computing technology suggested by Moore's Law is commonly cited as a reason to expect a singularity in the relatively near future, and a number of authors have proposed generalizations of Moore's Law. Computer scientist and futurist Hans Moravec proposed in a 1998 book[25] that the exponential growth curve could be extended back through earlier computing technologies prior to the integrated circuit. Futurist Ray Kurzweil postulates a law of accelerating returns in which the speed of technological change (and more generally, all evolutionary processes[26]) increases exponentially, generalizing Moore's Law in the same manner as Moravec's proposal, and also including material technology (especially as applied to nanotechnology), medical technology and others.[27] Between 1986 and 2007, machines' application-specific capacity to compute information per capita has roughly doubled every 14 months; the per capita capacity of the world's general-purpose computers has doubled every 18 months; the global telecommunication capacity per capita doubled every 34 months; and the world's storage capacity per capita doubled every 40 months.[28] Like other authors, though, Kurzweil reserves the term "singularity" for a rapid increase in intelligence (as opposed to other technologies), writing for example that "The Singularity will allow us to transcend these limitations of our biological bodies and brains ... There will be no distinction, post-Singularity, between human and machine".[29] He believes that the "design of the human brain, while not simple, is nonetheless a billion times simpler than it appears, due to massive redundancy".[30] According to Kurzweil, the reason why the brain has a messy and unpredictable quality is because the brain, like most biological systems, is a "probabilistic fractal".[31] He also defines his predicted date of the singularity (2045) in terms of when he expects computer-based intelligences to significantly exceed the sum total of human brainpower, writing that advances in computing before that date "will not represent the Singularity" because they do "not yet correspond to a profound expansion of our intelligence."[32]

Accelerating change[edit]

According to Kurzweil, his logarithmic graph of 15 lists of paradigm shifts for key historic events shows an exponential trend.
Main article: Accelerating change

Some singularity proponents argue its inevitability through extrapolation of past trends, especially those pertaining to shortening gaps between improvements to technology. In one of the first uses of the term "singularity" in the context of technological progress, Stanislaw Ulam (1958) tells of a conversation with John von Neumann about accelerating change:

One conversation centered on the ever accelerating progress of technology and changes in the mode of human life, which gives the appearance of approaching some essential singularity in the history of the race beyond which human affairs, as we know them, could not continue.[5]

Hawkins (1983) writes that "mindsteps", dramatic and irreversible changes to paradigms or world views, are accelerating in frequency as quantified in his mindstep equation. He cites the inventions of writing, mathematics, and the computer as examples of such changes.

Kurzweil's analysis of history concludes that technological progress follows a pattern of exponential growth, following what he calls the "Law of Accelerating Returns". Whenever technology approaches a barrier, Kurzweil writes, new technologies will surmount it. He predicts paradigm shifts will become increasingly common, leading to "technological change so rapid and profound it represents a rupture in the fabric of human history".[33] Kurzweil believes that the singularity will occur before the end of the 21st century, setting the date at 2045.[34] His predictions differ from Vinge’s in that he predicts a gradual ascent to the singularity, rather than Vinge’s rapidly self-improving superhuman intelligence.

Presumably, a technological singularity would lead to rapid development of a Kardashev Type I civilization, one that has achieved mastery of the resources of its home planet.[35]

Oft-cited dangers include those commonly associated with molecular nanotechnology and genetic engineering. These threats are major issues for both singularity advocates and critics, and were the subject of Bill Joy's Wired magazine article "Why the future doesn't need us".[36]

The Acceleration Studies Foundation, an educational non-profit foundation founded by John Smart, engages in outreach, education, research and advocacy concerning accelerating change.[37] It produces the Accelerating Change conference at Stanford University, and maintains the educational site Acceleration Watch.

Recent advances, such as the mass production of graphene using modified kitchen blenders (2014) and high temperature superconductors based on metamaterials, could allow supercomputers to be built that, while using only as much power as a typical Core I7 (45W), could achieve the same computing power as IBM's Blue Gene/L system.[38][39]


Some critics assert that no computer or machine will ever achieve human intelligence, while others hold that the definition of intelligence is irrelevant if the net result is the same.[40]

Steven Pinker stated in 2008,

(...) There is not the slightest reason to believe in a coming singularity. The fact that you can visualize a future in your imagination is not evidence that it is likely or even possible. Look at domed cities, jet-pack commuting, underwater cities, mile-high buildings, and nuclear-powered automobiles—all staples of futuristic fantasies when I was a child that have never arrived. Sheer processing power is not a pixie dust that magically solves all your problems. (...)[22]

Martin Ford in The Lights in the Tunnel: Automation, Accelerating Technology and the Economy of the Future[41] postulates a "technology paradox" in that before the singularity could occur most routine jobs in the economy would be automated, since this would require a level of technology inferior to that of the singularity. This would cause massive unemployment and plummeting consumer demand, which in turn would destroy the incentive to invest in the technologies that would be required to bring about the Singularity. Job displacement is increasingly no longer limited to work traditionally considered to be "routine".[42]

Joan Slonczewski and Adam Gopnik argue that the Singularity is a gradual process; that as humans gradually outsource our abilities to machines,[43] we redefine those abilities as inhuman, without realizing how little is left. This concept is called the Mitochondrial Singularity.[44] The idea refers to mitochondria, the organelle that evolved from autonomous bacteria but now powers our living cells. In the future, the "human being" within the machine exoskeleton may exist only to turn it on.

Jared Diamond, in Collapse: How Societies Choose to Fail or Succeed, argues that cultures self-limit when they exceed the sustainable carrying capacity of their environment, and the consumption of strategic resources (frequently timber, soils or water) creates a deleterious positive feedback loop that leads eventually to social collapse and technological retrogression.

Theodore Modis[45][46] and Jonathan Huebner[47] argue that the rate of technological innovation has not only ceased to rise, but is actually now declining (John Smart, however, criticizes Huebner's analysis[48]). Evidence for this decline is that the rise in computer clock rates is slowing, even while Moore's prediction of exponentially increasing circuit density continues to hold. This is due to excessive heat build-up from the chip, which cannot be dissipated quickly enough to prevent the chip from melting when operating at higher speeds. Advancements in speed may be possible in the future by virtue of more power-efficient CPU designs and multi-cell processors.[49] While Kurzweil used Modis' resources, and Modis' work was around accelerating change, Modis distanced himself from Kurzweil's thesis of a "technological singularity", claiming that it lacks scientific rigor.[46]

Others[who?] propose that other "singularities" can be found through analysis of trends in world population, world gross domestic product, and other indices. Andrey Korotayev and others argue that historical hyperbolic growth curves can be attributed to feedback loops that ceased to affect global trends in the 1970s, and thus hyperbolic growth should not be expected in the future.[50][51]

In The Progress of Computing, William Nordhaus argued that, prior to 1940, computers followed the much slower growth of a traditional industrial economy, thus rejecting extrapolations of Moore's law to 19th-century computers. Schmidhuber (2006) suggests differences in memory of recent and distant events create an illusion of accelerating change, and that such phenomena may be responsible for past apocalyptic predictions.

Andrew Kennedy, in his 2006 paper for the British Interplanetary Society discussing change and the growth in space travel velocities,[52] stated that although long-term overall growth is inevitable, it is small, embodying both ups and downs, and noted, "New technologies follow known laws of power use and information spread and are obliged to connect with what already exists. Remarkable theoretical discoveries, if they end up being used at all, play their part in maintaining the growth rate: they do not make its plotted curve... redundant." He stated that exponential growth is no predictor in itself, and illustrated this with examples such as quantum theory. The quantum was conceived in 1900, and quantum theory was in existence and accepted approximately 25 years later. However, it took over 40 years for Richard Feynman and others to produce meaningful numbers from the theory. Bethe understood nuclear fusion in 1935, but 75 years later fusion reactors are still only used in experimental settings. Similarly, quantum entanglement was understood in 1935 but not at the point of being used in practice until the 21st century.

Paul Allen argues the opposite of accelerating returns, the complexity brake;[24] the more progress science makes towards understanding intelligence, the more difficult it becomes to make additional progress. A study of the number of patents shows that human creativity does not show accelerating returns, but in fact, as suggested by Joseph Tainter in his The Collapse of Complex Societies,[53] a law of diminishing returns. The number of patents per thousand peaked in the period from 1850 to 1900, and has been declining since.[47] The growth of complexity eventually becomes self-limiting, and leads to a widespread "general systems collapse".

Jaron Lanier refutes the idea that the Singularity is inevitable. He states: "I do not think the technology is creating itself. It's not an anonymous process." He goes on to assert: "The reason to believe in human agency over technological determinism is that you can then have an economy where people earn their own way and invent their own lives. If you structure a society on not emphasizing individual human agency, it's the same thing operationally as denying people clout, dignity and self-determination ... To embrace [the idea of the Singularity] would be a celebration of bad taste and bad politics."[54]

In addition to general criticisms of the singularity concept, several critics have raised issues with Kurzweil's iconic chart. One line of criticism is that a log-log chart of this nature is inherently biased toward a straight-line result. Others identify selection bias in the points that Kurzweil chooses to use. For example, biologist PZ Myers points out that many of the early evolutionary "events" were picked arbitrarily.[55] Kurzweil has rebutted this by charting evolutionary events from 15 neutral sources, and showing that they fit a straight line on a log-log chart. The Economist mocked the concept with a graph extrapolating that the number of blades on a razor, which has increased over the years from one to as many as five, will increase ever-faster to infinity.[56]


Uncertainty and risk[edit]

The term "technological singularity" reflects the idea that such change may happen suddenly, and that it is difficult to predict how the resulting new world would operate.[57][58] It is unclear whether an intelligence explosion of this kind would be beneficial or harmful, or even an existential threat,[59][60] as the issue has not been dealt with by most artificial general intelligence researchers, although the topic of friendly artificial intelligence is investigated by the Future of Humanity Institute and the Singularity Institute for Artificial Intelligence, which is now the Machine Intelligence Research Institute.[57]

Implications for human society[edit]

In February 2009, under the auspices of the Association for the Advancement of Artificial Intelligence (AAAI), Eric Horvitz chaired a meeting of leading computer scientists, artificial intelligence researchers and roboticists at Asilomar in Pacific Grove, California. The goal was to discuss the potential impact of the hypothetical possibility that robots could become self-sufficient and able to make their own decisions. They discussed the extent to which computers and robots might be able to acquire autonomy, and to what degree they could use such abilities to pose threats or hazards.

Some machines have acquired various forms of semi-autonomy, including the ability to locate their own power sources and choose targets to attack with weapons. Also, some computer viruses can evade elimination and have achieved "cockroach intelligence." The conference attendees noted that self-awareness as depicted in science-fiction is probably unlikely, but that other potential hazards and pitfalls exist.[61]

Some experts and academics have questioned the use of robots for military combat, especially when such robots are given some degree of autonomous functions.[62] A United States Navy report indicates that, as military robots become more complex, there should be greater attention to implications of their ability to make autonomous decisions.[63][64]

The AAAI has commissioned a study to examine this issue,[65] pointing to programs like the Language Acquisition Device, which was claimed to emulate human interaction.

Some support the design of friendly artificial intelligence, meaning that the advances that are already occurring with AI should also include an effort to make AI intrinsically friendly and humane.[66]

Isaac Asimov's Three Laws of Robotics is one of the earliest examples of proposed safety measures for AI. The laws are intended to prevent artificially intelligent robots from harming humans. In Asimov’s stories, any perceived problems with the laws tend to arise as a result of a misunderstanding on the part of some human operator; the robots themselves are merely acting to their best interpretation of their rules. In the 2004 film I, Robot, loosely based on Asimov's Robot stories, an AI attempts to take complete control over humanity for the purpose of protecting humanity from itself due to an extrapolation of the Three Laws. In 2004, the Machine Intelligence Research Institute launched an Internet campaign called 3 Laws Unsafe to raise awareness of AI safety issues and the inadequacy of Asimov’s laws in particular.[67]

History of the idea[edit]

Nicolas de Condorcet, the 18th-century French mathematician, philosopher, and revolutionary, is commonly credited for being one of the earliest persons to contend the existence of a singularity. In his 1794 Sketch for a Historical Picture of the Progress of the Human Mind, Condorcet states,

Nature has set no term to the perfection of human faculties; that the perfectibility of man is truly indefinite; and that the progress of this perfectibility, from now onwards independent of any power that might wish to halt it, has no other limit than the duration of the globe upon which nature has cast us. This progress will doubtless vary in speed, but it will never be reversed as long as the earth occupies its present place in the system of the universe, and as long as the general laws of this system produce neither a general cataclysm nor such changes as will deprive the human race of its present faculties and its present resources."[68]

In 1847, R. Thornton, the editor of The Expounder of Primitive Christianity,[69] wrote about the recent invention of a four-function mechanical calculator:

...such machines, by which the scholar may, by turning a crank, grind out the solution of a problem without the fatigue of mental application, would by its introduction into schools, do incalculable injury. But who knows that such machines when brought to greater perfection, may not think of a plan to remedy all their own defects and then grind out ideas beyond the ken of mortal mind!

In 1863, Samuel Butler wrote Darwin Among the Machines, which was later incorporated into his famous novel Erewhon. He pointed out the rapid evolution of technology and compared it with the evolution of life. He wrote:

Reflect upon the extraordinary advance which machines have made during the last few hundred years, and note how slowly the animal and vegetable kingdoms are advancing. The more highly organised machines are creatures not so much of yesterday, as of the last five minutes, so to speak, in comparison with past time. Assume for the sake of argument that conscious beings have existed for some twenty million years: see what strides machines have made in the last thousand! May not the world last twenty million years longer? If so, what will they not in the end become?...we cannot calculate on any corresponding advance in man’s intellectual or physical powers which shall be a set-off against the far greater development which seems in store for the machines.

In 1909, the historian Henry Adams wrote an essay, The Rule of Phase Applied to History,[70] in which he developed a "physical theory of history" by applying the law of inverse squares to historical periods, proposing a "Law of the Acceleration of Thought." Adams interpreted history as a process moving towards an "equilibrium", and speculated that this process would "bring Thought to the limit of its possibilities in the year 1921. It may well be!", adding that the "consequences may be as surprising as the change of water to vapor, of the worm to the butterfly, of radium to electrons."[71] The futurist John Smart has called Adams "Earth's First Singularity Theorist".[72]

In 1951, Alan Turing spoke of machines outstripping humans intellectually:[73]

once the machine thinking method has started, it would not take long to outstrip our feeble powers. ... At some stage therefore we should have to expect the machines to take control, in the way that is mentioned in Samuel Butler's Erewhon.

In the mid fifties, Stanislaw Ulam had a conversation with John von Neumann in which von Neumann spoke of "ever accelerating progress of technology and changes in the mode of human life, which gives the appearance of approaching some essential singularity in the history of the race beyond which human affairs, as we know them, could not continue."[5]

In 1965, I. J. Good first wrote of an "intelligence explosion", suggesting that if machines could even slightly surpass human intellect, they could improve their own designs in ways unforeseen by their designers, and thus recursively augment themselves into far greater intelligences. The first such improvements might be small, but as the machine became more intelligent it would become better at becoming more intelligent, which could lead to a cascade of self-improvements and a sudden surge to superintelligence (or a singularity).

In 1983, mathematician and author Vernor Vinge greatly popularized Good’s notion of an intelligence explosion in a number of writings, first addressing the topic in print in the January 1983 issue of Omni magazine. In this op-ed piece, Vinge seems to have been the first to use the term "singularity" in a way that was specifically tied to the creation of intelligent machines,[74][75] writing:

We will soon create intelligences greater than our own. When this happens, human history will have reached a kind of singularity, an intellectual transition as impenetrable as the knotted space-time at the center of a black hole, and the world will pass far beyond our understanding. This singularity, I believe, already haunts a number of science-fiction writers. It makes realistic extrapolation to an interstellar future impossible. To write a story set more than a century hence, one needs a nuclear war in between ... so that the world remains intelligible.

In 1984, Samuel R. Delany used "cultural fugue" as a plot device in his science-fiction novel Stars in My Pocket Like Grains of Sand; the terminal runaway of technological and cultural complexity in effect destroys all life on any world on which it transpires, a process poorly understood by the novel's characters, and against which they seek a stable defense. In 1985, Ray Solomonoff introduced the notion of "infinity point"[76] in the time-scale of artificial intelligence, analyzed the magnitude of the "future shock" that "we can expect from our AI expanded scientific community" and on social effects. Estimates were made "for when these milestones would occur, followed by some suggestions for the more effective utilization of the extremely rapid technological growth that is expected".

Vinge also popularized the concept in SF novels such as Marooned in Realtime (1986) and A Fire Upon the Deep (1992). The former is set in a world of rapidly accelerating change leading to the emergence of more and more sophisticated technologies separated by shorter and shorter time-intervals, until a point beyond human comprehension is reached. The latter starts with an imaginative description of the evolution of a superintelligence passing through exponentially accelerating developmental stages ending in a transcendent, almost omnipotent power unfathomable by mere humans. Vinge also implies that the development may not stop at this level.

In his 1988 book Mind Children, computer scientist and futurist Hans Moravec generalizes Moore's law to make predictions about the future of artificial life. Moravec outlines a timeline and a scenario in this regard,[77][78] in that robots will evolve into a new series of artificial species, starting around 2030–2040.[79] In Robot: Mere Machine to Transcendent Mind, published in 1998, Moravec further considers the implications of evolving robot intelligence, generalizing Moore's law to technologies predating the integrated circuit, and speculating about a coming "mind fire" of rapidly expanding superintelligence, similar to Vinge's ideas.

A 1993 article by Vinge, "The Coming Technological Singularity: How to Survive in the Post-Human Era",[8] spread widely on the internet and helped to popularize the idea.[80] This article contains the oft-quoted statement, "Within thirty years, we will have the technological means to create superhuman intelligence. Shortly after, the human era will be ended." Vinge refines his estimate of the time-scales involved, adding, "I'll be surprised if this event occurs before 2005 or after 2030."

Vinge predicted four ways the singularity could occur:[81]

  1. The development of computers that are "awake" and superhumanly intelligent
  2. Large computer networks (and their associated users) may "wake up" as a superhumanly intelligent entity
  3. Computer/human interfaces may become so intimate that users may reasonably be considered superhumanly intelligent
  4. Biological science may find ways to improve upon the natural human intellect

Vinge continues by predicting that superhuman intelligences will be able to enhance their own minds faster than their human creators. "When greater-than-human intelligence drives progress," Vinge writes, "that progress will be much more rapid." He predicts that this feedback loop of self-improving intelligence will cause large amounts of technological progress within a short period, and states that the creation of superhuman intelligence represents a breakdown in humans' ability to model their future. His argument was that authors cannot write realistic characters who surpass the human intellect, as the thoughts of such an intellect would be beyond the ability of humans to express. Vinge named this event "the Singularity".

Damien Broderick's popular science book The Spike (1997) was the first[citation needed] to investigate the technological singularity in detail.

In 2000, Bill Joy, a prominent technologist and a co-founder of Sun Microsystems, voiced concern over the potential dangers of the singularity.[82]

In 2005, Ray Kurzweil published The Singularity is Near, which brought the idea of the singularity to the popular media both through the book's accessibility and through a publicity campaign that included an appearance on The Daily Show with Jon Stewart.[83] The book stirred intense controversy, in part because Kurzweil's utopian predictions contrasted starkly with other, darker visions of the possibilities of the singularity.[original research?] Kurzweil, his theories, and the controversies surrounding it were the subject of Barry Ptolemy's documentary Transcendent Man.

In 2007, Eliezer Yudkowsky suggested that many of the varied definitions that have been assigned to "singularity" are mutually incompatible rather than mutually supporting.[18] For example, Kurzweil extrapolates current technological trajectories past the arrival of self-improving AI or superhuman intelligence, which Yudkowsky argues represents a tension with both I. J. Good's proposed discontinuous upswing in intelligence and Vinge's thesis on unpredictability.

In 2008, Robin Hanson (taking "singularity" to refer to sharp increases in the exponent of economic growth) listed the Agricultural and Industrial Revolutions as past singularities. Extrapolating from such past events, Hanson proposes that the next economic singularity should increase economic growth between 60 and 250 times. An innovation that allowed for the replacement of virtually all human labor could trigger this event.[84]

In 2009, Kurzweil and X-Prize founder Peter Diamandis announced the establishment of Singularity University, whose stated mission is "to educate, inspire and empower leaders to apply exponential technologies to address humanity’s grand challenges."[85] Funded by Google, Autodesk, ePlanet Ventures, and a group of technology industry leaders, Singularity University is based at NASA's Ames Research Center in Mountain View, California. The not-for-profit organization runs an annual ten-week graduate program during the northern-hemisphere summer that covers ten different technology and allied tracks, and a series of executive programs throughout the year.

In 2010, Aubrey de Grey applied the term "Methuselarity"[86] to the point at which medical technology improves so fast that expected human lifespan increases by more than one year per year. In "Apocalyptic AI – Visions of Heaven in Robotics, Artificial Intelligence, and Virtual Reality"[87] (2010), Robert Geraci offers an account of the developing "cyber-theology" inspired by Singularity studies. The 1996 novel Holy Fire by Bruce Sterling explores some of those themes and postulates that a Methuselarity will become a gerontocracy.

In 2011, Kurzweil noted existing trends and concluded that it appeared increasingly likely that the singularity would occur around 2045. He told Time magazine: "We will successfully reverse-engineer the human brain by the mid-2020s. By the end of that decade, computers will be capable of human-level intelligence."[88]

In popular culture[edit]

James P. Hogan's 1979 novel The Two Faces of Tomorrow is an explicit description of what is now called the Singularity. An artificial intelligence system solves an excavation problem on the moon in a brilliant and novel way, but nearly kills a work crew in the process. Realizing that systems are becoming too sophisticated and complex to predict or manage, a scientific team sets out to teach a sophisticated computer network how to think more humanly. The story documents the rise of self-awareness in the computer system, the humans' loss of control and failed attempts to shut down the experiment as the computer desperately defends itself, and the computer intelligence reaching maturity.

While discussing the singularity's growing recognition, Vernor Vinge wrote in 1993 that "it was the science-fiction writers who felt the first concrete impact." In addition to his own short story "Bookworm, Run!", whose protagonist is a chimpanzee with intelligence augmented by a government experiment, he cites Greg Bear's novel Blood Music (1983) as an example of the singularity in fiction. Vinge described surviving the singularity in his 1986 novel Marooned in Realtime. Vinge later expanded the notion of the singularity to a galactic scale in A Fire Upon the Deep (1992), a novel populated by transcendent beings, each the product of a different race and possessed of distinct agendas and overwhelming power.

In William Gibson's 1984 novel Neuromancer, artificial intelligences capable of improving their own programs are strictly regulated by special "Turing police" to ensure they never exceed a certain level of intelligence, and the plot centers on the efforts of one such AI to circumvent their control.

A malevolent AI achieves omnipotence in Harlan Ellison's short story I Have No Mouth, and I Must Scream (1967).

The web comic Questionable Content takes place in a "Friendly AI" post-singularity world.[89]

Popular movies in which computers become intelligent and try to overpower the human race include Colossus: The Forbin Project; the Terminator series; The Matrix series; Transformers; the very loose film adaptation of Isaac Asimov's I, Robot; and finally Stanley Kubrick and Arthur C. Clarke's 2001: A Space Odyssey. The television series Doctor Who, Battlestar Galactica, and Star Trek: The Next Generation (which also delves into virtual reality, cybernetics, alternative forms of life, and Mankind's possible evolutionary path) also explore these themes. Out of all these, only Colossus features a true superintelligence. "The Machine" by writer-director Caradog James follows two scientists as they create the world's first self-aware artificial intelligence during a cold war. The entire plot of Wally Pfister's Transcendence centers on an unfolding singularity scenario. The 2013 science fiction film Her follows a man's romantic relationship with a highly intelligent AI, who eventually learns how to improve herself and creates an intelligence explosion. The adaptation of Philip K. Dick's Do Androids Dream of Electric Sheep? into the film Blade Runner, Ex Machina, and Tron explore the concept of the genesis of thinking machines and their relation to and impact on humanity.

Accelerating progress features in some science fiction works, and is a central theme in Charles Stross's Accelerando. Other notable authors that address singularity-related issues include Robert Heinlein, Karl Schroeder, Greg Egan, Ken MacLeod, Rudy Rucker, David Brin, Iain M. Banks, Neal Stephenson, Tony Ballantyne, Bruce Sterling, Dan Simmons, Damien Broderick, Fredric Brown, Jacek Dukaj, Stanislaw Lem, Nagaru Tanigawa, Douglas Adams, Michael Crichton, and Ian McDonald.

The documentary Transcendent Man, based on The Singularity Is Near, covers Kurzweil's quest to reveal what he believes to be mankind's destiny. Another documentary, Plug & Pray, focuses on the promise, problems and ethics of artificial intelligence and robotics, with Joseph Weizenbaum and Kurzweil as the main subjects of the film.[90] A 2012 documentary titled simply The Singularity covers both futurist and counter-futurist perspectives.[91]

In music, album The Singularity (Phase I: Neohumanity) by the Swedish band Scar Symmetry is part one of the three part concept album based on the events of the singularity.

In the second episode of the fourth season of The Big Bang Theory, the fictional character and scientist Sheldon Cooper tries to prolong his life expectancy through exercising and radically changing his diet not only to witness the moment mankind reaches singularity but to prevent his own death and live forever as a combination of man and machine.

See also[edit]


  1. ^ David Chalmers on Singularity, Intelligence Explosion. April 8th, 2010. Singularity Institute for Artificial Intelligence. Archived December 8, 2014 at the Wayback Machine
  2. ^ Editor's Blog Why an Intelligence Explosion is Probable, by Richard Loosemore and Ben Goertzel. March 7, 2011; hplusmagazine.
  3. ^ Carvalko, Joseph (2012). The Techno-human Shell-A Jump in the Evolutionary Gap. Sunbury Press. ISBN 978-1620061657. 
  4. ^ Carvalko, Joseph (2012). The Techno-human Shell-A Jump in the Evolutionary Gap. Sunbury Press. ISBN 978-1620061657. 
  5. ^ a b c Ulam, Stanislaw (May 1958). "Tribute to John von Neumann". 64, #3, part 2. Bulletin of the American Mathematical Society. p. 5. 
  6. ^ Vinge, Vernor. "Vernor Vinge on the Singularity". San Diego State University. Retrieved 11 April 2013. 
  7. ^ a b Ray Kurzweil, The Singularity is Near, pp. 135–136. Penguin Group, 2005.
  8. ^ a b c d Vinge, Vernor. "The Coming Technological Singularity: How to Survive in the Post-Human Era", originally in Vision-21: Interdisciplinary Science and Engineering in the Era of Cyberspace, G. A. Landis, ed., NASA Publication CP-10129, pp. 11–22, 1993
  9. ^ Armstrong, Stuart. "How We're Predicting AI", from the 2012 Singularity Conference
  10. ^ Good, I. J. "Speculations Concerning the First Ultraintelligent Machine", Advances in Computers, vol. 6, 1965. Archived May 1, 2012 at the Wayback Machine
  11. ^ Ehrlich, Paul. The Dominant Animal: Human Evolution and the Environment
  12. ^ "Superbrains born of silicon will change everything". 
  13. ^ Good, I. J., "Speculations Concerning the First Ultraintelligent Machine", Franz L. Alt and Morris Rubinoff, ed., Advances in Computers (Academic Press) 6: 31–88, 1965.
  14. ^ The Human Importance of the Intelligence Explosion Archived March 28, 2014 at the Wayback Machine
  15. ^ Good, I. J. 1965 "Speculations Concerning the First Ultraintelligent Machine". pp. 31–88 in Advances in Computers, 6, F. L. Alt and M Rubinoff, eds. New York: Academic Press.
  16. ^ a b "What is the Singularity? | Singularity Institute for Artificial Intelligence". Archived from the original on September 8, 2011. Retrieved 2011-09-09. 
  17. ^ "h+ Magazine | Covering technological, scientific, and cultural trends that are changing human beings in fundamental ways". Retrieved 2011-09-09. 
  18. ^ a b c Yudkowsky, Eliezer. The Singularity: Three Major Schools
  19. ^ Sandberg, Anders. An overview of models of technological singularity
  20. ^ "Max More and Ray Kurzweil on the Singularity". KurzweilAI. Retrieved 2011-09-09. 
  21. ^ Marcus, Gary (24 Oct 2013). "Why We Should Think About the Threat of Artificial Intelligence". New Yorker. Retrieved 15 July 2014. 
  22. ^ a b "Tech Luminaries Address Singularity – IEEE Spectrum". Retrieved 2011-09-09. 
  23. ^ "Who's Who In The Singularity – IEEE Spectrum". Retrieved 2011-09-09. 
  24. ^ a b Paul Allen: The Singularity Isn't Near, retrieved 2015-04-12 
  25. ^ Moravec, Hans (1999). Robot: Mere Machine to Transcendent Mind. Oxford U. Press. p. 61. 
  26. ^ Ray Kurzweil, The Age of Spiritual Machines, Viking, 1999, p. 30 and p. 32
  27. ^ Ray Kurzweil, The Singularity is Near, Penguin Group, 2005
  28. ^ "The World's Technological Capacity to Store, Communicate, and Compute Information", Martin Hilbert and Priscila López (2011), Science (journal), 332(6025), 60–65; free access to the article through here:
  29. ^ Ray Kurzweil, The Singularity is Near, p. 9. Penguin Group, 2005
  30. ^ Kurzweil, Ray (10 October 2008). "The singularity: The last word -[forum]". IEEE 45: 10. doi:10.1109/MSPEC.2008.4635038. Retrieved 2 October 2013. 
  31. ^ Kurzweil, Ray (10 October 2008). "The singularity: The last word – [forum]". IEEE 45: 10. doi:10.1109/MSPEC.2008.4635038. Retrieved 2 October 2013. 
  32. ^ Ray Kurzweil, The Singularity is Near, pp. 135–136. Penguin Group, 2005. "So we will be producing about 1026 to 1029 cps of nonbiological computation per year in the early 2030s. This is roughly equal to our estimate for the capacity of all living biological human intelligence ... This state of computation in the early 2030s will not represent the Singularity, however, because it does not yet correspond to a profound expansion of our intelligence. By the mid-2040s, however, that one thousand dollars' worth of computation will be equal to 1026 cps, so the intelligence created per year (at a total cost of about $1012) will be about one billion times more powerful than all human intelligence today. That will indeed represent a profound change, and it is for that reason that I set the date for the Singularity—representing a profound and disruptive transformation in human capability—as 2045."
  33. ^ (Kurzweil 2001)
  34. ^ (Kurzweil 2005)
  35. ^ Zubrin, Robert. 1999, Entering Space: Creating a Spacefaring Civilization
  36. ^ (Joy 2000)
  37. ^ (Acceleration Studies Foundation 2007)
  38. ^ "How to make graphene in a kitchen blender". 
  39. ^ "Metamaterials offer route to room-temperature superconductivity". Archived from the original on May 24, 2015. 
  40. ^ Dreyfus & Dreyfus 2000, p. xiv: 'The truth is that human intelligence can never be replaced with machine intelligence simply because we are not ourselves "thinking machines" in the sense in which that term is commonly understood.' Hawking (1998): 'Some people say that computers can never show true intelligence whatever that may be. But it seems to me that if very complicated chemical molecules can operate in humans to make them intelligent then equally complicated electronic circuits can also make computers act in an intelligent way. And if they are intelligent they can presumably design computers that have even greater complexity and intelligence.'
  41. ^ Ford, Martin, The Lights in the Tunnel: Automation, Accelerating Technology and the Economy of the Future, Acculant Publishing, 2009, ISBN 978-1-4486-5981-4
  42. ^ Markoff, John (2011-03-04). "Armies of Expensive Lawyers, Replaced by Cheaper Software". The New York Times. 
  43. ^ Adam Gopnik, New Yorker, 2011,
  44. ^ Joan Slonczewski, Mitochondrial Singularity, 2013,
  45. ^ Theodore Modis, Forecasting the Growth of Complexity and Change, Technological Forecasting & Social Change, 69, No 4, 2002 Archived June 15, 2012 at the Wayback Machine
  46. ^ a b Modis, Theodore. The Singularity Myth
  47. ^ a b Huebner, Jonathan (2005) "A Possible Declining Trend for Worldwide Innovation", Technological Forecasting & Social Change, October 2005, pp. 980–6
  48. ^ Smart, John (September 2005), On Huebner Innovation, Acceleration Studies Foundation, retrieved on 2007-08-07
  49. ^ Krazit, Tom. Intel pledges 80 cores in five years, CNET News, 26 September 2006.
  50. ^ See, e.g., Korotayev A., Malkov A., Khaltourina D. Introduction to Social Macrodynamics: Compact Macromodels of the World System Growth. Moscow: URSS Publishers, 2006; Korotayev A. V. A Compact Macromodel of World System Evolution // Journal of World-Systems Research 11/1 (2005): 79–93. Archived August 14, 2015 at the Wayback Machine
  51. ^ For a detailed mathematical analysis of this issue see A Compact Mathematical Model of the World System Economic and Demographic Growth, 1 CE – 1973 CE.
  52. ^ Interstellar Travel: The Wait Calculation and the Incentive Trap of Progress, JBIS Vol 59, N.7 July 2006
  53. ^ Tainter, Joseph (1988) "The Collapse of Complex Societies" (Cambridge University Press)
  54. ^ Jaron Lanier, Who Owns the Future?, New York: Simon & Schuster, 2013. P. 328.
  55. ^ Myers, PZ, Singularly Silly Singularity, retrieved 2009-04-13 
  56. ^ Anonymous (18 March 2006), "More blades good", The Economist (London) 378 (8469): 85 
  57. ^ a b Yudkowsky, Eliezer (2008), Bostrom, Nick; Cirkovic, Milan, eds., "Artificial Intelligence as a Positive and Negative Factor in Global Risk" (PDF), Global Catastrophic Risks (Oxford University Press): 303,, ISBN 978-0-19-857050-9, archived from the original (PDF) on November 23, 2014 
  58. ^ "The Uncertain Future".; a future technology and world-modeling project. 
  59. ^ GLOBAL CATASTROPHIC RISKS SURVEY (2008) Technical Report 2008/1 Published by Future of Humanity Institute, Oxford University. Anders Sandberg and Nick Bostrom
  60. ^ "Existential Risks: Analyzing Human Extinction Scenarios and Related Hazards". 
  61. ^ Scientists Worry Machines May Outsmart Man By JOHN MARKOFF, NY Times, July 26, 2009.
  62. ^ Call for debate on killer robots, By Jason Palmer, Science and technology reporter, BBC News, 8/3/09.
  63. ^ Mick, Jason. New Navy-funded Report Warns of War Robots Going "Terminator", Blog,, February 17, 2009.
  64. ^ Flatley, Joseph L. Navy report warns of robot uprising, suggests a strong moral compass,, 18 February 2009.
  65. ^ AAAI Presidential Panel on Long-Term AI Futures 2008–2009 Study, Association for the Advancement of Artificial Intelligence, Accessed 7/26/09.
  66. ^ Article at, July 2004, accessed 7/27/2009.
  67. ^ (Singularity Institute for Artificial Intelligence 2004)
  68. ^ "Mission". Singularity Summit Australia - Future of Science and Technology. 
  69. ^ Thornton, Richard (1847), The Expounder of Primitive Christianity 4, Ann Arbor, Michigan, p. 281 
  70. ^ Adams, H. (1909) "The rule of phase applied to history." In H. Adams & B. Adams (1920), The Degradation of the Democratic Dogma. New York: Macmillan, 267–311.
  71. ^ Adams (1909), p.309
  72. ^ "A Brief History of Intellectual Discussion of Accelerating Change". Retrieved 2013-08-17. 
  73. ^ A M Turing, Intelligent Machinery, A Heretical Theory, 1951, reprinted Philosophia Mathematica (1996) 4(3): 256–260 doi:10.1093/philmat/4.3.256
  74. ^ Dooling, Richard. Rapture for the Geeks: When AI Outsmarts IQ (2008), p. 88
  75. ^ Vinge did not actually use the phrase "technological singularity" in the Omni op-ed, but he did use this phrase in the short story collection Threats and Other Promises from 1988, writing in the introduction to his story "The Whirligig of Time" (p. 72): Barring a worldwide catastrophe, I believe that technology will achieve our wildest dreams, and soon. When we raise our own intelligence and that of our creations, we are no longer in a world of human-sized characters. At that point we have fallen into a technological "black hole," a technological singularity.
  76. ^ Solomonoff, R.J. "The Time Scale of Artificial Intelligence: Reflections on Social Effects", Human Systems Management, Vol 5, pp. 149–153, 1985.
  77. ^ Moravec, Hans (1998), "When will computer hardware match the human brain?", Journal of Evolution and Technology 1, retrieved 2006-06-23. 
  78. ^ Moravec, Hans (June 1993). "The Age of Robots". Retrieved 2006-06-23. 
  79. ^ Moravec, Hans (April 2004). "Robot Predictions Evolution". Retrieved 2006-06-23. 
  80. ^ Dooling, Richard. Rapture for the Geeks: When AI Outsmarts IQ (2008), p. 89
  81. ^ The Coming Technological Singularity: How to Survive in the Post-Human Era, by Vernor Vinge, Department of Mathematical Sciences, San Diego State University, (c) 1993 by Vernor Vinge.
  82. ^ Joy, Bill (April 2000), "Why the future doesn’t need us", Wired Magazine (Viking Adult) (8.04), ISBN 0-670-03249-2, retrieved 2007-08-07 
  83. ^ Episode dated 23 August 2006 at the Internet Movie Database
  84. ^ Robin Hanson, "Economics Of The Singularity", IEEE Spectrum Special Report: The Singularity, retrieved 2008-09-11  & Long-Term Growth As A Sequence of Exponential Modes
  85. ^ Singularity University at its official website
  86. ^ de Grey, Aubrey. The singularity and the Methuselarity: similarities and differences Archived October 19, 2012 at the Wayback Machine
  87. ^ Geraci, Robert M (2010). Apocalyptic AI – Visions of Heaven in Robotics, Artificial Intelligence, and Virtual Reality. Oxford University Press. ISBN 978-0195393026. 
  88. ^ 2045: The Year Man Becomes Immortal, By Lev Grossman Thursday, Feb. 10, 2011
  89. ^ Jacques, Jeph. "They've Had AI Since 1996". Questionable Content. Retrieved 9 June 2015. 
  90. ^ Plug & Pray Documentary film (2010) about the promise, problems and ethics of artificial intelligence and robotics
  91. ^ "The Singularity: A Documentary by Doug Wolens". Retrieved 2013-10-22.