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Singularity-Emergence A.I.

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Technological Singularity. The technological singularity is the hypothesis that accelerating progress in technologies will cause a runaway effect wherein artificial intelligence will exceed human intellectual capacity and control, thus radically changing civilization in an event called the singularity.[1] Because the capabilities of such an intelligence may be impossible for a human to comprehend, the technological singularity is an occurrence beyond which events may become unpredictable, unfavorable, or even unfathomable.[2] The first use of the term "singularity" in this context was by mathematician John von Neumann.

Technological Singularity

Proponents of the singularity typically postulate an "intelligence explosion",[5][6] where superintelligences design successive generations of increasingly powerful minds, that might occur very quickly and might not stop until the agent's cognitive abilities greatly surpass that of any human. Basic concepts. Transgressive Man. Singularity Sunrise. The best visuals to explain the Singularity to senior executives. Tomorrow morning I’m doing a presentation to the top executive team of a very large organization on the next 20 years.

The best visuals to explain the Singularity to senior executives

Most of what I will cover will be general societal, business and technological drivers as well as specific strategic issues driving their business. However as part of stretching their thinking I’ll also speak a about the Singularity. As such I’ve been trying to find one good image to introduce my explanation, however I haven’t been able to find one which is quite right for the purpose. SIN Graph - Countdown to SIN Logarithmic. Chart Countdown to Singularity, Events expressed as Time before Present (Years) on the X axis and Time to Next Event (Years) on the Y axis, Logarithmic Plot Page 17, Linear Plot page 18.

SIN Graph - Countdown to SIN Logarithmic

Source: M.T. Rosing, "13C-Depleted carbon microparticles in >3700-Ma sea-floor sedimentary rocks from west greenland," Science 283.5402 (January 29, 1999): 674-6, See also H. Furnes et al., "Early life recorded in archean pillow lavas," Science 304.5670 (April 23, 2004):578-81; M.T. Rosing, "Early Archaean oxygenic photosynthesis - The observational approach," Geophysical Research Abstracts 7.11202 (2005); W. Altermann and J. B. Y Kimura, "Examining time trends in the Oldowan technology at Beds I and II, Olduvai Gorge," Journal of Human Evolution 43.3 (September 2002):291-321.

A.M. Dennis O'Neil, " Evolution of Modern Humans: Early Archaic Homo sapiens," T.D. Chaos theory. A double rod pendulum animation showing chaotic behavior.

Chaos theory

Coastline paradox. An example of the coastline paradox.

Coastline paradox

If the coastline of Great Britain is measured using units 100 km (62 mi) long, then the length of the coastline is approximately 2,800 km (1,700 mi). With 50 km (31 mi) units, the total length is approximately 3,400 km (2,100 mi), approximately 600 km (370 mi) longer. Butterfly effect. In chaos theory, the butterfly effect is the sensitive dependency on initial conditions in which a small change at one place in a deterministic nonlinear system can result in large differences in a later state.

Butterfly effect

The name of the effect, coined by Edward Lorenz, is derived from the theoretical example of a hurricane's formation being contingent on whether or not a distant butterfly had flapped its wings several weeks earlier. Although the butterfly effect may appear to be an unlikely behavior, it is exhibited by very simple systems. For example, a ball placed at the crest of a hill may roll into any surrounding valley depending on, among other things, slight differences in its initial position. History[edit] Chaos theory and the sensitive dependence on initial conditions was described in the literature in a particular case of the three-body problem by Henri Poincaré in 1890.[1] He later proposed that such phenomena could be common, for example, in meteorology.

Illustration[edit] Moore's law. Moore's law is the observation that, over the history of computing hardware, the number of transistors on integrated circuits doubles approximately every two years.

Moore's law

The law is named after Intel co-founder Gordon E. Moore, who described the trend in his 1965 paper.[1][2][3] His prediction has proven to be accurate, in part because the law is now used in the semiconductor industry to guide long-term planning and to set targets for research and development.[4] The capabilities of many digital electronic devices are strongly linked to Moore's law: processing speed, memory capacity, sensors and even the number and size of pixels in digital cameras.[5] All of these are improving at roughly exponential rates as well. This exponential improvement has dramatically enhanced the impact of digital electronics in nearly every segment of the world economy.[6] Moore's law describes a driving force of technological and social change in the late 20th and early 21st centuries.[7][8] History[edit] Artificial Intelligence. Technology & the Future. M e t a m o r p h o p t i c s.

A Cosmist Manifesto. The Hivemind Singularity - Alan Jacobs. In a near-future science fiction novel, human intelligence evolves into a hivemind that makes people the violent cells of a collective being. Slime mold network formation (Science). New Model Army, a 2010 novel by the English writer Adam Roberts, concerns itself with many things: the intimacy shared by soldiers at war, the motivating powers of memory and love, the rival merits of hierarchical and anarchic social structures, the legitimacy of the polity known as Great Britain, the question of European identity. Self-organization. Self-organization occurs in a variety of physical, chemical, biological, robotic, social and cognitive systems.

Self-organization

Common examples include crystallization, the emergence of convection patterns in a liquid heated from below, chemical oscillators, swarming in groups of animals, and the way neural networks learn to recognize complex patterns. Overview[edit] Autopoiesis. 3D representation of a living cell during the process of mitosis, example of an autopoietic system.

Autopoiesis

The original definition can be found in Autopoiesis and Cognition: the Realization of the Living (1st edition 1973, 2nd 1980): Page 78: - An autopoietic machine is a machine organized (defined as a unity) as a network of processes of production (transformation and destruction) of components which: (i) through their interactions and transformations continuously regenerate and realize the network of processes (relations) that produced them; and (ii) constitute it (the machine) as a concrete unity in space in which they (the components) exist by specifying the topological domain of its realization as such a network. [1] Page 89:- [...] the space defined by an autopoietic system is self-contained and cannot be described by using dimensions that define another space.

Meaning[edit] Criticism[edit] See also[edit] Notes and references[edit] Further reading[edit] External links[edit] Internet Traffic is now 51% Non-Human. So you thought the Internet was made by and for people?

Internet Traffic is now 51% Non-Human

Think again. A study by Incapsula, a provider of cloud-based security for web sites (mind you where this data comes from), concludes that 51% of all Internet traffic is generated by non-human sources such as hacking software, scrapers and automated spam mechanisms. While 20% of the 51% non-human traffic is’ good’, the 31% majority of this non-human traffic is potentially malicious. The study is based on data collected from 1,000 websites that utilize Incapsula’s services, and it determined that just 49% of Web traffic is human browsing. 20% is benign non-human search engine traffic, but 31% of all Internet traffic is tied to malicious activities. 19% is from ” ‘spies’ collecting competitive intelligence,” 5% is from automated hacking tools seeking out vulnerabilities, 5% is from scrapers and 2% is from content spammers.

Presumably these numbers will only rise. Thanks Bruce. ‪Critical Mass‬‏ Ecco.vub.ac.be. Singularity Institute for Artificial Intelligence.

More links

Kurzweil Accelerating Intelligence. The lead up to the Singularity. Infinity Point Will Arrive by 2035 Latest. Eray Ozkural December 23, 2013. Singularity Blog Covering Robots, Genetics, Stem Cells, Transhumanism, The Brain, The Future. Ray Kurzweil on how technology will transform us.

Emergence. The ‘crisis of noosphere’ as a limiting factor to achieve the point of technological singularity - 1405.3378.pdf. Ray Kurzweil: The accelerating power of technology.

Pioneer & Theorist

The Singularity Is Near. 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. This is his first book to embrace the Singularity as a term, but the ideas contained within are derived from his previous books, the The Age of Spiritual Machines (1999) and The Age of Intelligent Machines (1990). Kurzweil describes his law of accelerating returns which predicts an exponential increase in technologies like computers, genetics, nanotechnology, robotics and artificial intelligence.

He says this will lead to a technological singularity in the year 2045, a point where progress is so rapid it outstrips humans' ability to comprehend it. Irreversibly transformed, people will augment their minds and bodies with genetic alterations, nanotechnology, and artificial intelligence. Content[edit] Exponential growth[edit] Computational capacity[edit] Moore's Law. The Singularity is Near » Homepage. A Singularity in All Four Quadrants. The Singularity Is Near (2010)