“We will learn that computers, amazing as they are, still cannot come close to being as effective as human beings. A computer isn't creative on its own because it is programmed to behave in a predictable way. Creativity comes from looking for the unexpected and stepping outside your own experience. Computers simply cannot do that.”

Masaru Ibuka in: The Corporate Board, (1992), Vol. 13, p. 30

Adopted from Wikiquote. Last update June 3, 2021. History

Help us to complete the source, original and additional information

Do you have more details about the quote "We will learn that computers, amazing as they are, still cannot come close to being as effective as human beings. A com…" by Masaru Ibuka?

Masaru Ibuka8

Japanese businessman 1908–1997

Related quotes

“Creativity comes from looking for the unexpected and stepping outside your own experience. Computers simply cannot do that.”

Masaru Ibuka (1908–1997) Japanese businessman

Masaru Ibuka in: The Corporate Board, (1992), Vol. 13, p. 30

“Much of my work has come from being lazy. I didn't like writing programs, and so, when I was working on the IBM 701 (an early computer), writing programs for computing missile trajectories, I started work on a programming system to make it easier to write programs.”

John Backus (1924–2007) American computer scientist

Quoted in the IBM employee magazine Think in 1979. Cited by his Associated Press obituary http://www.msnbc.msn.com/id/17704662/

“In 1936 the notion of a computable function was clarified by Turing, and he showed the existence of universal computers that, with an appropriate program, could compute anything computed by any other computer. […] In some subconscious sense even the sales departments of computer manufacturers are aware of this, and they do not advertise magic instructions that cannot be simulated on competitors machines, but only that their machines are faster, cheaper, have more memory, or are easier to program.”

John McCarthy (1927–2011) American computer scientist and cognitive scientist

" Towards a Mathematical Science of Computation http://www-formal.stanford.edu/jmc/towards.html", Information Processing 1962: Proceedings of IFIP Congress 62, ed. Cicely M. Popplewell (Amsterdam, 1963), pp. 21–28 <br class="br">1960s

“The objective of the Computer-Aided Design Project is to evolve a machine systems which will permit the human designer and the computer to work together on creative design problems.”

Douglas T. Ross (1929–2007) American computer scientist

Source: Computer-Aided Design: A Statement of Objectives (1960), p. iii: Abstract.

“Let us change our traditional attitude to the construction of programs: Instead of imagining that our main task is to instruct a computer what to do, let us concentrate rather on explaining to human beings what we want a computer to do.”

Donald Ervin Knuth Literate Programming

"Literate Programming", The Computer Journal 27 (1984), p. 97. (Reprinted in Literate Programming, 1992, p. 99.)
Literate Programming (1984)

“A programming language is like a natural, human language in that it favors certain metaphors, images, and ways of thinking. The language used strongly colors the computer culture. It would seem to follow that educators interested in using computers and sensitive to cultural influences would pay particular attention to the choice of language. But nothing of the sort has happened. On the contrary, educators… have accepted certain programming languages in much the same way as they accepted the QWERTY keyboard. An informative example is the way in which the programming language BASIC has established itself as the obvious language to use in teaching children how to program computers… Today, and in fact for several years now, the cost of computer memory has fallen to the point where any remaining economic advantages of using BASIC are insignificant. Yet in most high schools, the language remains almost synonymous with programming, despite the existence of other computer languages that are demonstrably easier to learn and are richer in the intellectual benefits that can come from learning them. The situation is paradoxical. The computer revolution has scarcely begun, but is already breeding its own conservatism.”

Seymour Papert book Mindstorms: Children, Computers, and Powerful Ideas

Source: Mindstorms: Children, Computers, and Powerful Ideas (1980), Chapter 1, Computers and Computer Cultures

“Present-day computers are designed primarily to solve preformulated problems or to process data according to predetermined procedures. The course of the computation may be conditional upon results obtained during the computation, but all the alternatives must be foreseen in advance. … The requirement for preformulation or predetermination is sometimes no great disadvantage. It is often said that programming for a computing machine forces one to think clearly, that it disciplines the thought process. If the user can think his problem through in advance, symbiotic association with a computing machine is not necessary.
However, many problems that can be thought through in advance are very difficult to think through in advance. They would be easier to solve, and they could be solved faster, through an intuitively guided trial-and-error procedure in which the computer cooperated, turning up flaws in the reasoning or revealing unexpected turns in the solution. Other problems simply cannot be formulated without computing-machine aid. … One of the main aims of man-computer symbiosis is to bring the computing machine effectively into the formulative parts of technical problems.
The other main aim is closely related. It is to bring computing machines effectively into processes of thinking that must go on in "real time," time that moves too fast to permit using computers in conventional ways. Imagine trying, for example, to direct a battle with the aid of a computer on such a schedule as this. You formulate your problem today. Tomorrow you spend with a programmer. Next week the computer devotes 5 minutes to assembling your program and 47 seconds to calculating the answer to your problem. You get a sheet of paper 20 feet long, full of numbers that, instead of providing a final solution, only suggest a tactic that should be explored by simulation. Obviously, the battle would be over before the second step in its planning was begun. To think in interaction with a computer in the same way that you think with a colleague whose competence supplements your own will require much tighter coupling between man and machine than is suggested by the example and than is possible today.”

J. C. R. Licklider Man-Computer Symbiosis

Man-Computer Symbiosis, 1960

“And programming computers was so fascinating. You create your own little universe, and then it does what you tell it to do.”

Vint Cerf (1943) American computer scientist

Source: "Your Life: Vinton Cerf" (2016), p. 28

“If you think about things that happen, as being computations... a computation in the sense that it has definite rules... You follow them many steps and you get some result. ...If you look at all these different computations that can happen, whether... in the natural world... in our brains... in our mathematics, whatever else, the big question is how do these computations compare. ...Are there dumb ...and smart computations, or are they somehow all equivalent? ...[T]he thing that I ...was ...surprised to realize from ...experiments ...in the early 90s, and now we have tons more evidence for ...[is] this ...principle of computational equivalence, which basically says that when one of these computations ...doesn't seem like it's doing something obviously simple, then it has reached this ...equivalent layer of computational sophistication of everything. So what does that mean? ...You might say that ...I'm studying this tiny little program ...and my brain is surely much smarter ...I'm going to be able to systematically outrun [it] because I have a more sophisticated computation ...but ...the principle ...says ...that doesn't work. Our brains are doing computations that are exactly equivalent to the kinds of computations that are being done in all these other sorts of systems. ...It means that we can't systematically outrun these systems. These systems are computationally irreducible in the sense that there's no ...shortcut ...that jumps to the answer.”

Stephen Wolfram (1959) British-American computer scientist, mathematician, physicist, writer and businessman

Stephen Wolfram: Fundamental Theory of Physics, Life, and the Universe (Sep 15, 2020)

“Automatic design has the computer do too much and the human do too little, whereas automatic programming has the human do too much and the computer do too little. Both techniques are important, but are not representative for what we wish to mean by computer-aided design.”

Douglas T. Ross (1929–2007) American computer scientist

Computer-Aided Design: A Statement of Objectives (1960)

Help us to complete the source, original and additional information

Masaru Ibuka8

Related quotes

Related topics