“A human is a complicated organic/electrical system, which is immersed in a culture. Try raising a monkey like a human, it won't work, you need the human's certain brain characteristics (including self-reflection) in order to create a truly intelligent creature. The brain processes inputs and perception in very particular ways, and I think until we understand the underlying processes better, there is no way to really simulate it in software. Computers will continue to be good at simplistic analysis, and raw processing power, but the subtlety of emotions is something intrinsic to the human organism and culture.”

— Andrew Sega

Andrew Sega Shrine interview, 2011

Adopted from Wikiquote. Last update Sept. 14, 2021. History

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Andrew Sega 52

musician from America 1975

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“We're rapidly creating an extraordinary silicon-based petri dish for evolution of intelligence. By the year 2025… we're likely to have computers whose raw processing power exceeds that of the human brain. Also, we're likely to have more computers than people…”

J. Doyne Farmer (1952) American physicist and entrepreneur (b.1952)

The Third Culture: Beyond the Scientific Revolution (1995)

“The human brain has left and right brain symmetry with its own nature and can process information which initially appears to have no pattern or order. However, the brain has the ability to process visual information much more efficiently.”

Tony Buzan (1942–2019) British psychologist

The Mind Map Book, Buzan and Buzan (1991)

“The huge human brain, approximately 1,350 cubic centimeters, is the most complex organic structure in the known world. Understanding the human mind/brain mechanisms in evolutionary perspective is the goal of the new scientific discipline called evolutionary psychology. Evolutionary psychology focuses on four key questions: (1) Why is the mind designed the way it is—that is, what causal processes created, fashioned, or shaped the human mind into its current form? (2) How is the human mind designed—what are its mechanisms or component parts, and how are they organized? (3) What are the functions of the component parts and their organized structure—that is, what is the mind designed to do? (4) How does input from the current environment interact with the design of the human mind to produce observable behavior?”

David M. Buss (1953) American psychologist

Evolutionary Psychology: The New Science of the Mind (6th ed., 2019), Chap. 1: The Scientific Movements Leading to Evolutionary Psychology
Evolutionary Psychology, 2005

“Feedback: It is the fundamental principle that underlies all self-regulating systems, not only machines but also the processes of life and the tides of human affairs.”

Arnold Tustin (1899–1994) British engineer

Arnold Tustin (1952) as cited in: Daniel L. Young, Seth Michelson (2011) Systems Biology in Drug Discovery and Development. p. 49

“Nature builds no machines, no locomotives, railways, electric telegraphs, self-acting mules etc. These are products of human industry; natural material transformed into organs of the human will over nature, or of human participation in nature. They are organs of the human brain, created by the human hand; the power of knowledge, objectified. The development of fixed capital indicates to what degree general social knowledge has become a direct force of production, and to what degree, hence, the conditions of the process of social life itself have come under the control of the general intellect and been transformed in accordance with it.”

Karl Marx (1818–1883) German philosopher, economist, sociologist, journalist and revolutionary socialist

Die Natur baut keine Maschinen, keine Lokomotiven, Eisenbahnen, electric telegraphs, selfacting mules etc. Sie sind Produkte der menschlichen Industrie; natürliches Material, verwandelt in Organe des menschlichen Willens über die Natur oder seiner Betätigung in der Natur. Sie sind von der menschlichen Hand geschaffene Organe des menschlichen Hirns; vergegenständliche Wissenskraft. Die Entwicklung des capital fixe zeigt an, bis zu welchem Grade das allgemeine gesellschaftliche Wissen, knowledge, zur unmittelbaren Produktivkraft geworden ist und daher die Bedingungen des gesellschaftlichen Lebensprozesses selbst unter die Kontrolle des general intellect gekommen, und ihm gemäß umgeschaffen sind.
(1857/58)
Source: Notebook VII, The Chapter on Capital, p. 626.

“Natural order was not invented by the human mind or set up by certain perceptive powers… The existence of order presupposes the existence of organizing intelligence. Such intelligence can be none other than God's.”

Pierre-Paul Grassé (1895–1985) French zoologist

Dieu existe? Oui http://books.google.com.mx/books/about/Dieu_existe_Oui.html?id=TBUCHQAACAAJ&redir_esc=y (1979). Paris. Stock. Christian Chabanis, p. 94.
Original: L’ordre naturel n’est pas une invention de l’esprit humain et une mise en place de certaines propriétés d’observation... Qui dit ordre dit intelligence organisatrice. Cette intelligence ne peut être que celle de Dieu.

“If you look at the history of big obstacles in understanding our world, there's usually an intuitive assumption underlying them that's wrong. In the case of the Solar System it was intuitively obvious that the Earth was at the center of the Solar System and things moved around us, but that just turned out to be wrong. … And it intuitively seems correct that the brain is just some sort of computer—it just seems natural. … But it has undermined almost all of our work to build intelligent machines and understand thinking. It's just wrong … the brain isn't like a computer at all.”

Jeff Hawkins (1957) American entrepreneur and neuroscientist; founder of Palm Computing

Morning Edition interview http://www.rni.org/hawkins/Jeff_Hawkins_On_Intelligence.mp3

“Our brains are […] not equipped to process events on […] scale[s] [larger than a human lifetime] […].”

James Howard Kunstler book The Long Emergency

Source: The Long Emergency (2005), Chapter 5, p. 148.

“Today, as we are coming to understand better the circular processes through which culture is developed and transmitted, we recognize that man's most human characteristic is not his ability to learn, which he shares with many other species, but his ability to teach and store what others have developed and taught him. Learning, which is based on human dependency, is relatively simple. But human capacities for creating elaborate teachable systems, for understanding and utilizing the resources of the natural world, and for governing society and creating and creating imaginary worlds all these are very complex. In the past, men relied on the least elaborate part of the circular system, the dependent learning by children, for continuity of transmission and for the embodiment of the new. Now, with our greater understanding of the process, we must cultivate the most flexible and complex part of the system; the behavior of adults. We must, in fact, teach ourselves how to alter adult behavior so that we can give up postfigurative upbringing, with its tolerated configurative components, and discover prefigurative ways of teaching and learning. We must create new models for adults who can teach their children not what to learn but how to learn and not what they should be committed to, but the value of commitment.”

Margaret Mead (1901–1978) American anthropologist

1970s, Culture and commitment, 1970

“Suppose that the organism is given the problem of determining the analysis of a stimulus at a certain level of representation- e. g., the problem of determining which sequence of words a given utterance encodes. Since, in the general case, transducer outputs underdetermine perceptual analyses, we can think of the solution of such problems as involving processes of non-demonstrative inference. In particular, we can think of each input system as a computational mechanism which projects and confirms a certain class of hypotheses on the basis of a certain body of data.”

Jerry Fodor (1935–2017) American philosopher

Source: Modularity of Mind (1983), p. 126, partly cited in: Meredith Williams (2002) Wittgenstein, Mind, and Meaning: Toward a Social Conception of Mind. p. 104. Quote about the direction of information flow in perceptual and observer analysis.

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Andrew Sega 52

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