Machine quotes

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David_Auerbach

Machine Models

“Even machine-generated models are beholden to the strictures placed on them by humans.”
  • Source: David Auerbach, in the article “Bitwise: A Life in Code” published in 2019 in Communications of the ACM, Volume 62, Issue 9 (September). DOI: 10.1145/3347864.

Unsupervised Learning

“Unsupervised learning suggests that machine learning may increasingly be able to create its own feature distinctions, which would mitigate the anthropocentric biases of human-specified categories and features, at the cost of making such distinctions more opaque to humans.”
  • Source: David Auerbach, in the article “Bitwise: A Life in Code” published in 2019 in Communications of the ACM, Volume 62, Issue 9 (September). DOI: 10.1145/3347864.

Synchronizing Interpretability

“The more tenable problem may be one of synchronizing interpretability between machine networks and humans, so that even though we each are black boxes, humans can still tune and correct machines — and vice versa.”
  • Source: David Auerbach, in the article “Bitwise: A Life in Code” published in 2019 in Communications of the ACM, Volume 62, Issue 9 (September). DOI: 10.1145/3347864.

Robert_S_Barton

Software from the Middle

“I think at this point in the field we are almost forced to start in the middle, if we are concerned with the problem of general software construction and the organization of the machines to go with these programs.”

Friedrich_Ludwig_Bauer

Software Engineering Definition

“(Software engineering is the) establishment and use of sound engineering principles to obtain economically software that is reliable and works on real machines efficiently.”
  • Source: [Bauer; 1972]. A paper entitled Software Engineering. Written by Friedrich Ludwig Bauer. Published 1972 in Information Processing 71: Proceedings of Ifip Congress 1971, volume 1. ISBN: 9780720420630.

Robert_N_Britcher

Human Element

“The real scoop on programming and software is the human element. I didn't know Alan Turing or John von Neuman or the other inventors, but I've known plenty of programmers. We are just like everyone, part this, part that. Except we have to deal with enormous complexity, which springs upon us only after we are too far into what started out to be kind of fun - coding an algorithm and watching it run on a machine. Then it's too late and it all becomes work, very stressful work.”
  • Source: Britcher, Robert N. (1999). The Limits of Software: People, Projects, and Perspectives. Reading, MA: Addison Wesley. ISBN 0-201-43323-0. Page 28.

Tom_DeMarco and Tim_Lister

Cheeseburgers

"Development is inherently different from production. But managers of development and allied efforts often allow their thinking to be shaped by a management philosophy derived entirely from a production environment.
Imagine for the moment that you’re the manager of the local fast food franchise. It makes perfect sense for you to take any or all of the following efficient production measures:
- Squeeze out error. Make the machine (the human machine) run as smoothly as possible.
- Take a hard line about people goofing off on the job.
- Treat workers as interchangeable pieces of the machine.
- Optimize the steady state. (Don’t even think about how the operation got up to speed, or what it would take to close it down.)
- Standardize procedure. Do everything by the book.
- Eliminate experimentation—that’s what the folks at headquarters are paid for.
These would be reasonable approaches if you were in the fast food business (or any production environment), but you’re not. The 'make a cheeseburger, sell a cheeseburger' mentality can be fatal in your development area. It can only serve to damp your people’s spirits and focus their attention away from the real problems at hand. This style of management will be directly at odds with the work.
To manage thinking workers effectively, you need to take measures nearly opposite those listed above."
  • Source: Book: Entitled: Peopleware: Productive Projects and Teams. Edition: 3rd. Written by: Tom DeMarco; Tim Lister. Date published: 1987; 1999; 2013. Publisher: Addison-Wesley. Country: USA; GBR; CAN; DEU; FRA; ESP; ZAF; AUS; JPN; SGP; MEX. Language: en. ISBN: ISBN-13: 978-0-321-93411-6 (alk paper); 0-321-93411-3 (alk paper). Chapter: 2 (Make a Cheeseburger, Sell a Cheeseburger).

Edsger_Wybe_Dijkstra

Big Machines Big Problems

“As long as there were no machines, programming was no problem at all; when we had a few weak computers, programming became a mild problem, and now we have gigantic computers, programming has become an equally gigantic problem.”
  • Source: Edsger Wybe Dijkstra in an article entitled The Humble Programmer. Written by Edsger W. Dijkstra. Published 1972 in Communications of the ACM, volume 15, number 10. DOI: 10.1145/355604.361591.

Machines Can Think

“The question of whether Machines Can Think... is about as relevant as the question of whether Submarines Can Swim.”

Arthur_Eddington

Brain and Mind

“Take the living human brain endowed with mind and thought. Thought it is one of the indisputable facts of the world. I know that I think, with a certainty which I cannot attribute to any of my physical knowledge of the world. More hypothetically, but on fairly plausible evidence, I am convinced that you have minds which think. Here then is a world fact to be investigated. The physicist brings his tools and commences systematic exploration. All that he discovers is a collection of atoms and electrons and fields of force arranged in space and time, apparently similar to those found in inorganic objects. He may trace other physical characteristics, energy, temperature, entropy. None of these is identical with thought. He might set down thought as an illusion ⎯ some perverse interpretation of the interplay of the physical entities that he has found. Or if he sees the folly of calling the most undoubted element of our experience an illusion, he will have to face the tremendous question, How can this collection of ordinary atoms be a thinking machine?”

Dwight_D_Eisenhower

Military-Industrial Complex

“In the councils of government, we must guard against the acquisition of unwarranted influence, whether sought or unsought, by the military-industrial complex. The potential for the disastrous rise of misplaced power exists and will persist. We must never let the weight of this combination endanger our liberties or democratic processes. We should take nothing for granted. Only an alert and knowledgeable citizenry can compel the proper meshing of the huge industrial and military machinery of defense with our peaceful methods and goals, so that security and liberty may prosper together.”
  • Source: Dwight D. Eisenhower, Farewell address (17 January 1961).

Gordon_Glegg

User Specifications

“If you are concerned in making the production of some article quicker, better or cheaper, you will naturally study how it is being done at the moment. It may seem paradoxical but the man least likely to help you is the operator in charge of the machine. The more 'down-to-earth' and 'practical' he considers himself the more 'unpractical' and 'up-in-the-air' he is likely to be from your point of view. He is too near the machine to know why it works. He only knows how it works.”
  • Source: Glegg, G. L. (1969). The Design of Design. Cambridge, UK: Cambridge University Press. ISBN: 978-0-511-79996-9. Chapter 1, page 12.

Kurt_Gödel

Mind Machine

“Either mathematics is too big for the human mind, or the human mind is more than a machine.”
  • Source: The words of Kurt Gödel as reported in the book ‘Topoi : The Categorial Analysis of Logic’ (1979) by Robert Goldblatt, page 13.

Eugene_Grace

Great Engineers

“Thousands of engineers can design bridges, calculate strains and stresses, and draw up specifications for machines, but the great engineer is the man who can tell whether the bridge or the machine should be built at all, where it should be built, and when.”

J_A_Haar

Software Documentation

“A standard for program documentation when programs are written in symbolic machine language should be set and each program should include this standard documentation in the ‘remarks field’ of the symbolic program.”

Stephen_Hawking

Artificial Intelligence

“The development of full artificial intelligence could spell the end of the human race. We cannot quite know what will happen if a machine exceeds our own intelligence, so we can't know if we'll be infinitely helped by it, or ignored by it and sidelined, or conceivably destroyed by it.”

Aldous_Huxley

Time Tyrant

“Time is our tyrant. We are chronically aware of the moving minute hand, even of the moving second hand. We have to be. There are trains to be caught, clocks to be punched, tasks to be done in specified periods, records to be broken by fractions of a second, machines that set the pace and have to be kept up with. Our consciousness of the smallest units of time is now acute. To us, for example, the moment 8.17 a.m. means something — something very important, if it happens to be the starting time of our daily train. To our ancestors, such an odd eccentric instant was without significance — did not even exist. In inventing the locomotive, Watt and Stevenson were part inventors of time.”
  • Source: Aldous Huxley (1936). An essay entitled Time and the Machine within the book The Olive Tree and Other Essays, published by Harper and Brothers, ASIN: B08VNTBLY4.

Time Awareness Paradox

“This brings us to a seeming paradox. Acutely aware of the smallest constituent particles of time — of time, as measured by clock-work and train arrivals and the revolutions of machines — industrialized man has to a great extent lost the old awareness of time in its larger divisions.”
  • Source: Aldous Huxley (1936). An essay entitled Time and the Machine within the book The Olive Tree and Other Essays, published by Harper and Brothers, ASIN: B08VNTBLY4.

Geoffrey_Jefferson

No Mechanism Could Feel

“Not until a machine can write a sonnet or compose a concerto because of thoughts and emotions felt, and not by the chance fall of symbols, could we agree that machine equals brain - that is, not only write it but know that it had written it. No mechanism could feel (and not merely artificially signal, an easy contrivance) pleasure at its successes, grief when its valves fuse, be warmed by flattery, be made miserable by its mistakes, be charmed by sex, be angry or depressed when it cannot get what it wants.”
  • Source: Geoffrey Jefferson delivering The Lister Oration at the Royal College of Surgeons of England on 1949-06-09. Published in the British Medical Journal of 1949-06-25, volume 1, issue 4616, pages 1105-1110. DOI 10.1136/bmj.1.4616.1105.

Arthur_Koestler

Progress of Science

“The progress of science is strewn, like an ancient desert trail, with the bleached skeletons of discarded theories which once seemed to possess eternal life.”
  • Source: Arthur Koestler, In The Ghost in the Machine (1967).

David_E_Nye

Machines Not Autonomous

“...machines are not autonomous. Particular corporations and individuals were responsible for irrigating the West, lighting the world's fair, installing computers in factories, or mining coal, iron ore, and other resources.”
  • Source: A book. Written by David E. Nye. Entitled 'Narratives and Spaces'. Published in 1997 by Univerity of Exeter Press, Exeter, UK. Hardback ISBN 0-85989-555-6. Paperback ISBN 0-85989-556-4. Introduction, page 2.

Unanticipated Consequences

“The combined choices of inventors, entrepreneurs, and consumers create unanticipated cultural consequences. Because no single individual or institution wills certain changes, they are often mistaken for attributes of the machine itself... Machines are human-directed agents of cultural change.”
  • Source: A book. Written by David E. Nye. Entitled 'Narratives and Spaces'. Published in 1997 by Univerity of Exeter Press, Exeter, UK. Hardback ISBN 0-85989-555-6. Paperback ISBN 0-85989-556-4. Introduction, pages 2-3.

Programmers Perfectionists

“A single error in a program thousands of lines long prevented it from running correctly, and computer programmers became known as a fanatically exact group of perfectionists, working in an arcane specialty. Sociologists studying the ‘man-machine' interface found that a programmer's personality often changed after prolonged exposure to the computer, becoming severely logical and machine-like.”
  • Source: A book. Written by David E. Nye. Entitled 'Narratives and Spaces'. Published in 1997 by Univerity of Exeter Press, Exeter, UK. Hardback ISBN 0-85989-555-6. Paperback ISBN 0-85989-556-4. Chapter 10, page 164.

Pearl_and_Mackenzie

Strong AI

“The successes of deep learning have been truly remarkable... Nevertheless, deep learning has succeeded primarily by showing that certain questions or tasks we thought were difficult are in fact not. It has not addressed the truly difficult questions that continue to prevent us from achieving humanlike AI. As a result the public believes that ‘strong AI,’ machines that think like humans, is just around the corner or maybe even here already. In reality, nothing could be farther from the truth.”
  • Source: Judea Pearl and Dana Mackenzie in “The Book of Why: The New Science of Cause and Effect”. Published by Basic Books of New York, NY in 2018. Chapter 1, page 30. ISBN 978-0465097616 (ebook).

Alan_Perlis

Understanding Programs

“To understand a program you must become both the machine and the program.”

Computing Fun

“I think that it's extraordinarily important that we in computer science keep fun in computing. When it started out, it was an awful lot of fun. Of course, the paying customers got shafted every now and then, and after a while we began to take their complaints seriously. We began to feel as if we really were responsible for the successful, error-free perfect use of these machines. I don't think we are. I think we're responsible for stretching them, setting them off in new directions, and keeping fun in the house. I hope the field of computer science never loses its sense of fun. Above all, I hope we don't become missionaries. Don't feel as if you're Bible salesmen. The world has too many of those already. What you know about computing other people will learn. Don't feel as if the key to successful computing is only in your hands. What's in your hands, I think and hope, is intelligence: the ability to see the machine as more than when you were first led up to it, that you can make it more.”
  • Source: Quoted in The Structure and Interpretation of Computer Programs by Hal Abelson, Gerald Jay Sussman and Julie Sussman (McGraw-Hill, 2nd edition, 1996).

Steven_Pinker

Learning

“But learning is not a surrounding gas or force field, and it does not happen by magic. It is made possible by innate machinery designed to do the learning... To understand learning, we need new ways of thinking to replace the prescientific metaphors — the mixtures and forces, the writing on slates and sculpting of blocks of marble.”
  • Source: Steven Pinker (1997). How the Mind Works. New York, NY: W. W. Norton. ISBN 978-0-393-06973-0; eISBN 978-0-393-06973-0. Chapter 1 Section Reverse-Engineering the Psyche.

Human Machine and Free Agent

“A human being is simultaneously a machine and a sentient free agent, depending on the purpose of the discussion, just as he is also a taxpayer, an insurance salesman, a dental patient, and two hundred pounds of ballast on a commuter airplane, depending on the purpose of the discussion.”
  • Source: Steven Pinker (1997). How the Mind Works. New York, NY: W. W. Norton. ISBN 978-0-393-06973-0; eISBN 978-0-393-06973-0. Chapter 1 Section Psychological Correctness.

Computational Mind Probabilistic

“The computational theory thus embraces an alternative kind of computer with many elements that are active to a degree corresponding to the probability that some statement is true or false, and in which the activity levels change smoothly to register new and roughly accurate probabilities. (As we shall see, that may be the way the brain works.) The key idea is that the answer to the question 'What makes a system smart?' is not the kind of stuff it is made of or the kind of energy flowing through it, but what the parts of the machine stand for and how the patterns of changes inside it are designed to mirror truth-preserving relationships (including probabilistic and fuzzy truths).”
  • Source: Steven Pinker (1997). How the Mind Works. New York, NY: W. W. Norton. ISBN 978-0-393-06973-0; eISBN 978-0-393-06973-0. Chapter 2 Section: The search for Intelligent Life in the Universe.

Claude_Shannon

Turing Machine

“We may think of a Turing machine as composed of three parts — a control element, a reading and writing head and an infinite tape.”
  • Source: From a book section entitled “A Universal Turing Machine with Two Internal States” by Claude Shannon, within the book “Automata Studies”, edited by C. E. Shannon and J. McCarthy, Princeton: Princeton University Press, 1956. Pages 157-166. DOI 10.1515/9781400882618-007.

Herbert_Simon

Computer Programming as Data Structures

“When we write a computer program in any language except machine language, we are really not writing down processes but data structures. These data structures are then interpreted or compiled into processes, that is, into machine-language instructions that the computer can understand and execute. Nevertheless, for most purposes, it is convenient for us simply to ignore the translation step and to treat the computer programs in higher-level languages as representing processes.”

Alan_Turing

Computable Numbers

“According to my definition, a number is computable if its decimal can be written down by a machine.”
  • Source: From the paper entitled “On Computable Numbers, with an Application to the Entscheidungsproblem” by Alan Turing. Published in 1936 in the “Proceedings of the London Mathematical Society” in 1936, volume 42, number 2. DOI 10.1112/plms/s2-43.6.544.

Can Machines Think

“The question, ‘Can machines think?’ should be replaced by ‘Are there imaginable digital computers which would do well in the imitation game?’... The original question, ‘Can machines think?’ I believe to be too meaningless to deserve discussion.”
  • Source: From the paper entitled “Computing Machinery and Intelligence” by Alan Turing. Published in 1950 in “Mind”, volume 49, number 236.

Shannon_Vallor

Fighting AI

“We can’t fight AI without fighting ourselves. The harms to people and to society that may follow from our relationship to ‘intelligent’ machines are not foreign assaults, but symptoms of an internal disorder: a fully human pathology that requires collective self-examination, critique, and most of all, healing.”
  • Source: From the book “The AI Mirror” by Shannon Vallor. Published 2024 by Oxford University Press. ISBN 978-0197759066. Introduction, page 4.

AI Data

“Only a modest subset of what is representable in digital form can be generated or stored in sufficient quantity and quality to be useful... An event that only happens once in a generation, or to one person in a billion, even if it is world-altering, is virtually invisible to a machine learning model.”
  • Source: From the book “The AI Mirror” by Shannon Vallor. Published 2024 by Oxford University Press. ISBN 978-0197759066. Chapter 2, page 48.

Gerald_Weinberg

Programmers Are Human Beings

“If our experiences are any indication, each of them could be functioning more efficiently, with greater satisfaction, if he and his manager would only learn to look upon the programmer as a human being, rather than as another one of the machines.”
  • Source: Book Entitled: The Psychology of Computer Programming (Silver anniversary edition). Edition: Silver anniversary. Written By: Gerald Weinberg. Published originally: 1971. Republished: 2011.

Vending Machines

“When the vending machines had been in the common room, a large crowd always hovered around them — but not particularly for fol-de-rol, as the manager had so quickly assumed... Informal mechanisms always exist and it is dangerous to change things without understanding them.”
  • Source: Chapter 4. Weinberg, G. M. (2011). The Psychology of Computer Programming (Silver anniversary edition) | 1971. Weinberg & Weinberg.

Egoless Programming and John von Neumann

“Programming groups who have conquered the ego problem do exist and have existed from the earliest days of computing. John von Neumann himself was perhaps the first programmer to recognize his inadequacies with respect to examination of his own work. Those who knew him have said that he was constantly asserting what a lousy programmer he was, and that he incessantly pushed his programs on other people to read for errors and clumsiness. Yet the common image today of von Neumann is of the unparalleled computing genius — flawless in his every action. And indeed, there can be no doubt of von Neumann's genius. His very ability to realize his human limitations put him head and shoulders above the average programmer today. Average people can be trained to accept their humanity — their inability to function like a machine — and to value it and work with others so as to keep it under the kind of control needed if programming is to be successful.”
  • Source: Chapter 4. Weinberg, G. M. (2011). The Psychology of Computer Programming (Silver anniversary edition) | 1971. Weinberg & Weinberg.

Management Deskilling

“Even though the nth-level manager may have originally been a programmer, which is rare enough, he has almost certainly lost any programming ability by the time he reaches these heights. Given the rapid change of programming techniques and hardware, the higher-level manager becomes obsolete even if he retains the skills he originally had and keeps them sharply honed, for those languages and those machines are no longer in use. In a small survey of working programmers, only 15 percent of the first-line managers were thought to be as skillful as the programmers themselves, and none of the higher-level managers.”
  • Source: Chapter 6. Weinberg, G. M. (2011). The Psychology of Computer Programming (Silver anniversary edition) | 1971. Weinberg & Weinberg.

Shoshana_Zuboff

Advent of the Smart Machine

“Should the advent of the smart machine be taken as an invitation to relax the demands upon human comprehension and critical judgment? Does the massive diffusion of computer technology throughout our workplaces necessarily entail an equally dramatic loss of meaningful employment opportunities? Must the new electronic milieu engender a world in which individuals have lost control over their daily work lives?”
  • Source: Zuboff, S. (1988). In The Age Of The Smart Machine: The Future Of Work And Power. New York, NY: Basic Books, p. 5 (Introduction). ISBN:0465032125.

Automation and Labor

“Perhaps the most compelling reality that drives managers to a narrowly conceived emphasis on automation is the web of economic logic in which they must operate. Frequently, new expenditures for technology can be justified only as a capital substitution for labor. It is often assumed that whatever was provided by the human contributor can be transferred to the automatic functioning of the machine system.”
  • Source: Zuboff, S. (1988). In The Age Of The Smart Machine: The Future Of Work And Power. New York, NY: Basic Books, p. 248. ISBN:0465032125.