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The Singularity Is Near

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The Singularity Is Near: When Humans Transcend Biology
Cover of The Singularity is Near
AuthorRay Kurzweil
LanguageEnglish
PublisherViking
Publication date
September 2005
Publication placeUnited States
Pages652
ISBN978-0-670-03384-3
OCLC57201348
153.9
LC ClassQP376 .K85
Preceded byThe Age of Spiritual Machines 
Followed byHow to Create a Mind (next book)
The Singularity is Nearer (sequel) 

The Singularity Is Near: When Humans Transcend Biology is a 2005 non-fiction book about artificial intelligence and the future of humanity by inventor and futurist Ray Kurzweil. A sequel book, The Singularity Is Nearer, was released on June 25, 2024.[1]

The book builds on the ideas introduced in Kurzweil's previous books, The Age of Intelligent Machines (1990) and The Age of Spiritual Machines (1999). In the book, Kurzweil embraces the term "the singularity", which was popularized by Vernor Vinge in his 1993 essay "The Coming Technological Singularity."[2]

Kurzweil describes his Law of Accelerating Returns, which predicts an exponential increase in technologies like computers, genetics, nanotechnology, robotics and artificial intelligence. Once the singularity has been reached, Kurzweil says that machine intelligence will be infinitely more powerful than all human intelligence combined. The singularity is also the point at which machines' intelligence and humans would merge; Kurzweil predicts this date: "I set the date for the Singularity—representing a profound and disruptive transformation in human capability—as 2045".[3]

Content

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Exponential growth

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Kurzweil characterizes evolution throughout all time as progressing through six epochs, each one building on the one before. He says the four epochs which have occurred so far are Physics and Chemistry, Biology and DNA, Brains, and Technology. Kurzweil predicts the singularity will coincide with the next epoch, The Merger of Human Technology with Human Intelligence. After the singularity he says the final epoch will occur, The Universe Wakes Up.[4]

Kurzweil explains that evolutionary progress is exponential because of positive feedback; the results of one stage are used to create the next stage. Exponential growth is deceptive, nearly flat at first until it hits what Kurzweil calls "the knee in the curve" then rises almost vertically.[5] In fact Kurzweil believes evolutionary progress is super-exponential because more resources are deployed to the winning process. As an example of super-exponential growth Kurzweil cites the computer chip business. The overall budget for the whole industry increases over time, since the fruits of exponential growth make it an attractive investment; meanwhile the additional budget fuels more innovation which makes the industry grow even faster, effectively an example of "double" exponential growth.[6]

Kurzweil dictates evolutionary progress looks smooth, but that really it is divided into paradigms, specific methods of solving problems. Each paradigm starts with slow growth, builds to rapid growth, and then levels off. As one paradigm levels off, pressure builds to find or develop a new paradigm. So what looks like a single smooth curve is really series of smaller S curves.[7] For example, Kurzweil notes that when vacuum tubes stopped getting faster, cheaper transistors became popular and continued the overall exponential growth.[8]

Kurzweil calls this exponential growth the law of accelerating returns, and he believes it applies to many human-created technologies such as computer memory, transistors, microprocessors, DNA sequencing, magnetic storage, the number of Internet hosts, Internet traffic, decrease in device size, and nanotech citations and patents.[9] Kurzweil cites two historical examples of exponential growth: the Human Genome Project and the growth of the Internet.[10] Kurzweil claims the whole world economy is in fact growing exponentially, although short term booms and busts tend to hide this trend.[11]

Computational capacity

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Plot showing Moore's law
Moore's Law
An updated version of Moore's Law over 120 years (based on Kurzweil's graph). The 7 most recent data points are all Nvidia GPUs.

A fundamental pillar of Kurzweil's argument is that to get to the singularity, computational capacity is as much of a bottleneck as other things like quality of algorithms and understanding of the human brain. Moore's Law predicts the capacity of integrated circuits grows exponentially, but not indefinitely. Kurzweil feels the increase in the capacity of integrated circuits will probably slow by the year 2020.[8] He feels confident that a new paradigm will debut at that point to carry on the exponential growth predicted by his law of accelerating returns. Kurzweil describes four paradigms of computing that came before integrated circuits: electromechanical, relay, vacuum tube, and transistors.[8] What technology will follow integrated circuits, to serve as the sixth paradigm, is unknown, but Kurzweil believes nanotubes are the most likely alternative among a number of possibilities:

nanotubes and nanotube circuitry, molecular computing, self-assembly in nanotube circuits, biological systems emulating circuit assembly, computing with DNA, spintronics (computing with the spin of electrons), computing with light, and quantum computing.[12]

Since Kurzweil believes computational capacity will continue to grow exponentially long after Moore's Law ends it will eventually rival the raw computing power of the human brain. Kurzweil looks at several different estimates of how much computational capacity is in the brain and settles on 1016 calculations per second and 1013 bits of memory. He writes that $1,000 will buy computer power equal to a single brain "by around 2020"[13] while by 2045, the onset of the singularity, he says the same amount of money will buy one billion times more power than all human brains combined today.[3] Kurzweil admits the exponential trend in increased computing power will hit a limit eventually, but he calculates that limit to be trillions of times beyond what is necessary for the singularity.[14]

The brain

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See also: Neural network (machine learning)
Plot showing the exponential growth of computing
Exponential growth of computing

Kurzweil notes that computational capacity alone will not create artificial intelligence. He asserts that the best way to build machine intelligence is to first understand human intelligence. The first step is to image the brain, to peer inside it. Kurzweil claims imaging technologies such as PET and fMRI are increasing exponentially in resolution[15] while he predicts even greater detail will be obtained during the 2020s when it becomes possible to scan the brain from the inside using nanobots.[16] Once the physical structure and connectivity information are known, Kurzweil says researchers will have to produce functional models of sub-cellular components and synapses all the way up to whole brain regions.[17] The human brain is "a complex hierarchy of complex systems, but it does not represent a level of complexity beyond what we are already capable of handling".[18]

Beyond reverse engineering the brain in order to understand and emulate it, Kurzweil introduces the idea of "uploading" a specific brain with every mental process intact, to be instantiated on a "suitably powerful computational substrate". He writes that general modeling requires 1016 calculations per second and 1013 bits of memory, but then explains uploading requires additional detail, perhaps as many as 1019 cps and 1018 bits. Kurzweil says the technology to do this will be available by 2040.[19] Rather than an instantaneous scan and conversion to digital form, Kurzweil feels humans will most likely experience gradual conversion as portions of their brain are augmented with neural implants, increasing their proportion of non-biological intelligence slowly over time.[20]

Kurzweil believes there is "no objective test that can conclusively determine" the presence of consciousness.[21] Therefore, he says nonbiological intelligences will claim to have consciousness and "the full range of emotional and spiritual experiences that humans claim to have";[22] he feels such claims will generally be accepted.

Genetics, nanotechnology and robotics (AI)

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Kurzweil says revolutions in genetics, nanotechnology and robotics will usher in the beginning of the singularity.[23] Kurzweil feels with sufficient genetic technology it should be possible to maintain the body indefinitely, reversing aging while curing cancer, heart disease and other illnesses.[24] Much of this will be possible thanks to nanotechnology, the second revolution, which entails the molecule by molecule construction of tools which themselves can "rebuild the physical world".[25] Finally, the revolution in robotics will really be the development of strong AI, defined as machines which have human-level intelligence or greater.[26] This development will be the most important of the century, "comparable in importance to the development of biology itself".[27]

Kurzweil concedes that every technology carries with it the risk of misuse or abuse, from viruses and nanobots to out-of-control AI machines. He believes the only countermeasure is to invest in defensive technologies, for example by allowing new genetics and medical treatments, monitoring for dangerous pathogens, and creating limited moratoriums on certain technologies. As for artificial intelligence Kurzweil feels the best defense is to increase the "values of liberty, tolerance, and respect for knowledge and diversity" in society, because "the nonbiological intelligence will be embedded in our society and will reflect our values".[28]

The singularity

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Main article: Technological singularity
Plot showing the countdown the singularity
Countdown to the singularity

Kurzweil touches on the history of the singularity concept, tracing it back to John von Neumann in the 1950s and I. J. Good in the 1960s. He compares his singularity to that of a mathematical or astrophysical singularity. While his ideas of a singularity is not actually infinite, he says it looks that way from any limited perspective.[29]

During the singularity, Kurzweil predicts that "human life will be irreversibly transformed"[30] and that humans will transcend the "limitations of our biological bodies and brain".[31] He looks beyond the singularity to say that "the intelligence that will emerge will continue to represent the human civilization." Further, he feels that "future machines will be human, even if they are not biological".[32]

Kurzweil claims once nonbiological intelligence predominates the nature of human life will be radically altered:[33] there will be radical changes in how humans learn, work, play, and wage war.[34] Kurzweil envisions nanobots which allow people to eat whatever they want while remaining thin and fit, provide copious energy, fight off infections or cancer, replace organs and augment their brains. Eventually people's bodies will contain so much augmentation they'll be able to alter their "physical manifestation at will".[35]

Kurzweil says the law of accelerating returns suggests that once a civilization develops primitive mechanical technologies, it is only a few centuries before they achieve everything outlined in the book, at which point it will start expanding outward, saturating the universe with intelligence. Since people have found no evidence of other civilizations, Kurzweil believes humans are likely alone in the universe. Thus Kurzweil concludes it is humanity's destiny to do the saturating, enlisting all matter and energy in the process.[36][37]

As for individual identities during these radical changes, Kurzweil suggests people think of themselves as an evolving pattern rather than a specific collection of molecules. Kurzweil says evolution moves towards "greater complexity, greater elegance, greater knowledge, greater intelligence, greater beauty, greater creativity, and greater levels of subtle attributes such as love".[38] He says that these attributes, in the limit, are generally used to describe God. That means, he continues, that evolution is moving towards a conception of God and that the transition away from biological roots is in fact a spiritual undertaking.[38]

Predictions

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Kurzweil does not include an actual written timeline of the past and future, as he did in The Age of Intelligent Machines and The Age of Spiritual Machines, however he still makes many specific predictions. Kurzweil writes that by 2010 a supercomputer will have the computational capacity to emulate human intelligence[39] and "by around 2020" this same capacity will be available "for one thousand dollars".[13] After that milestone he expects human brain scanning to contribute to an effective model of human intelligence "by the mid-2020s".[39] These two elements will culminate in computers that can pass the Turing test by 2029.[40] By the early 2030s the amount of non-biological computation will exceed the "capacity of all living biological human intelligence".[41] Finally the exponential growth in computing capacity will lead to the singularity. Kurzweil spells out the date very clearly: "I set the date for the Singularity—representing a profound and disruptive transformation in human capability—as 2045".[3]

Reception

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Analysis

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A common criticism of the book relates to the "exponential growth fallacy". As an example, in 1969, humans landed on the moon. Extrapolating exponential growth from there one would expect huge lunar bases and crewed missions to distant planets. Instead, exploration stalled or even regressed after that. Paul Davies writes "the key point about exponential growth is that it never lasts"[42] often due to resource constraints. On the other hand, it has been shown that the global acceleration until recently followed a hyperbolic rather than exponential pattern.[43]

Theodore Modis says "nothing in nature follows a pure exponential" and suggests the logistic function is a better fit for "a real growth process". The logistic function looks like an exponential at first but then tapers off and flattens completely. For example, world population and the United States's oil production both appeared to be rising exponentially, but both have leveled off because they were logistic. Kurzweil says "the knee in the curve" is the time when the exponential trend is going to explode, while Modis claims if the process is logistic when you hit the "knee" the quantity you are measuring is only going to increase by a factor of 100 more.[44]

While some critics complain that the law of accelerating returns is not a law of nature[42] others question the religious motivations or implications of Kurzweil's singularity. The buildup towards the singularity is compared with Judeo-Christian end-of-time scenarios. Beam calls it "a Buck Rogers vision of the hypothetical Christian Rapture".[45] John Gray says "the Singularity echoes apocalyptic myths in which history is about to be interrupted by a world-transforming event".[46]

The radical nature of Kurzweil's predictions is often discussed. Anthony Doerr says that before you "dismiss it as techno-zeal" consider that "every day the line between what is human and what is not quite human blurs a bit more". He lists technology of the day, in 2006, like computers that land supersonic airplanes or in vitro fertility treatments and asks whether brain implants that access the internet or robots in our blood really are that unbelievable.[47]

In regard to reverse engineering the brain, neuroscientist David J. Linden writes that "Kurzweil is conflating biological data collection with biological insight". He feels that data collection might be growing exponentially, but insight is increasing only linearly. For example, the speed and cost of sequencing genomes is also improving exponentially, but our understanding of genetics is growing very slowly. As for nanobots Linden believes the spaces available in the brain for navigation are simply too small. He acknowledges that someday we will fully understand the brain, just not on Kurzweil's timetable.[48]

Reviews

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Paul Davies wrote in Nature that The Singularity is Near is a "breathless romp across the outer reaches of technological possibility" while warning that the "exhilarating speculation is great fun to read, but needs to be taken with a huge dose of salt."[42]

Anthony Doerr in The Boston Globe wrote "Kurzweil's book is surprisingly elaborate, smart, and persuasive. He writes clean methodical sentences, includes humorous dialogues with characters in the future and past, and uses graphs that are almost always accessible."[47] while his colleague Alex Beam points out that "Singularitarians have been greeted with hooting skepticism".[45] Janet Maslin in The New York Times wrote "The Singularity is Near is startling in scope and bravado", but says "much of his thinking tends to be pie in the sky". She observes that he's more focused on optimistic outcomes rather than the risks.[49]

Film adaptations

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In 2006, Barry Ptolemy and his production company Ptolemaic Productions licensed the rights to The Singularity Is Near from Kurzweil. Inspired by the book, Ptolemy directed and produced the film Transcendent Man, which went on to bring more attention to the book.

Kurzweil also directed his own film adaptation, produced in partnership with Terasem; The Singularity is Near mixes documentary interviews with a science-fiction story involving his robotic avatar Ramona's transformation into an artificial general intelligence. Screened at the World Film Festival, the Woodstock Film Festival, the Warsaw International FilmFest, the San Antonio Film Festival in 2010 and the San Francisco Indie Film Festival in 2011, the movie was released generally on July 20, 2012.[50] It is available on DVD or digital download.[51][52]

Translations

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  • 奇点迫近 [奇点临近]. Translator: Zhenhua Dong.
  • Dutch: De singulariteit is nabij
  • French: L'humanité 2.0
  • Hungarian: A szingularitás küszöbén
  • Italian: La singolarità è vicina
  • Korean: 특이점이 온다
  • Spanish: La Singularidad está cerca
  • German: Menschheit 2.0. Die Singularität naht
  • Turkish: İnsanlık 2.0: Tekilliğe Doğru Biyolojisini Aşan İnsan
  • Polish: Nadchodzi Osobliwość
  • Hebrew: Kineret הסינגולריות מתקרבת 2012

See also

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References

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  1. ^ Dreibelbis, Emily (3 June 2024). "Ray Kurzweil: AI Is Not Going to Kill You, But Ignoring It Might". PCMag. Retrieved 4 June 2024.
  2. ^ Vinge 1993.
  3. ^ a b c Kurzweil 2005, p. 136.
  4. ^ Kurzweil 2005, p. 15.
  5. ^ Kurzweil 2005, p. 10.
  6. ^ Kurzweil 2005, pp. 40–41.
  7. ^ Kurzweil 2005, pp. 43–44.
  8. ^ a b c Kurzweil 2005, p. 67.
  9. ^ Kurzweil 2005, pp. 56–84.
  10. ^ Kurzweil 2005, p. 12.
  11. ^ Kurzweil 2005, p. 97.
  12. ^ Kurzweil 2005, pp. 112–113.
  13. ^ a b Kurzweil 2005, p. 126.
  14. ^ Kurzweil 2005, p. 134.
  15. ^ Kurzweil 2005, pp. 160–161.
  16. ^ Kurzweil 2005, pp. 163–167.
  17. ^ Kurzweil 2005, pp. 167–181.
  18. ^ Kurzweil 2005, p. 145.
  19. ^ Kurzweil 2005, pp. 199–200.
  20. ^ Kurzweil 2005, pp. 201.
  21. ^ Kurzweil 2005, p. 378.
  22. ^ Kurzweil 2005, p. 377.
  23. ^ Kurzweil 2005, p. 205.
  24. ^ Kurzweil 2005, pp. 212–219.
  25. ^ Kurzweil 2005, pp. 226–227.
  26. ^ Kurzweil 2005, p. 260.
  27. ^ Kurzweil 2005, p. 296.
  28. ^ Kurzweil 2005, pp. 422–424.
  29. ^ Kurzweil 2005, p. 23.
  30. ^ Kurzweil 2005, p. 7.
  31. ^ Kurzweil 2005, p. 9.
  32. ^ Kurzweil 2005, p. 30.
  33. ^ Kurzweil 2005, p. 299.
  34. ^ Kurzweil 2005, pp. 331–341.
  35. ^ Kurzweil 2005, pp. 301–310.
  36. ^ Kurzweil 2005, p. 344.
  37. ^ Kurzweil 2005, p. 365.
  38. ^ a b Kurzweil 2005, p. 389.
  39. ^ a b Kurzweil 2005, p. 25.
  40. ^ Kurzweil 2005, p. 200.
  41. ^ Kurzweil 2005, p. 135.
  42. ^ a b c Davies, Paul (23 March 2006). "When computers take over" (PDF). Nature. 440 (7083): 421–422. Bibcode:2006Natur.440..421D. doi:10.1038/440421a. S2CID 4319656. Retrieved 15 February 2013.
  43. ^ Korotayev, Andrey (2018). "The 21st Century Singularity and its Big History Implications: A re-analysis". Journal of Big History. 2 (3): 71–118. doi:10.22339/jbh.v2i3.2320.
  44. ^ Modis, Theodore (2006). "The Singularity Myth". Technological Forecasting & Social Change. 73 (2): 104–112. doi:10.1016/j.techfore.2005.12.004. Archived from the original on 30 October 2012. Retrieved 13 February 2013.
  45. ^ a b Beam, Alex (24 February 2005). "That Singularity Sensation". The Boston Globe. Retrieved 15 February 2013.
  46. ^ Gray, John (24 November 2011). "On the Road to Immortality". The New York Review of Books. Retrieved 19 March 2013.
  47. ^ a b Doerr, Anthony (2 October 2005). "Which Way Will Technology Take Us?". The Boston Globe. Retrieved 15 February 2013.
  48. ^ Linden, David (14 July 2011). "The Singularity is Far: A Neruoscientist's View". Boing Boing. Retrieved 19 February 2013.
  49. ^ Maslin, Janet (3 October 2005). "Will the Future Be a Trillion Times Better?". The New York Times. Retrieved 19 February 2013.
  50. ^ "Release dates for The Singularity Is Near". IMDB. Retrieved 14 February 2013.
  51. ^ "The Singularity Is Near, The Movie".
  52. ^ "Singularity Is Near movie trailer".

Sources

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