Machine quotes
From Motley Bytes Wiki
Contents
- 1 David_Auerbach
- 2 Robert_S_Barton
- 3 Friedrich_Ludwig_Bauer
- 4 Robert_N_Britcher
- 5 Tom_DeMarco and Tim_Lister
- 6 Edsger_Wybe_Dijkstra
- 7 Arthur_Eddington
- 8 Dwight_D_Eisenhower
- 9 Gordon_Glegg
- 10 Kurt_Gödel
- 11 Eugene_Grace
- 12 J_A_Haar
- 13 Stephen_Hawking
- 14 Aldous_Huxley
- 15 Geoffrey_Jefferson
- 16 Arthur_Koestler
- 17 David_E_Nye
- 18 Pearl_and_Mackenzie
- 19 Alan_Perlis
- 20 Steven_Pinker
- 21 Claude_Shannon
- 22 Herbert_Simon
- 23 Alan_Turing
- 24 Shannon_Vallor
- 25 Gerald_Weinberg
- 26 Shoshana_Zuboff
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.
- Keywords: Machine_quotes Generate_quotes Model_quotes Beholden_quotes Stricture_quotes Place_quotes Human_quotes Artificial_Intelligence_quotes
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.”
- Source: Robert S. Barton in a report entitled Software Engineering: Report of a Conference Sponsored by the NATO Science Committee. Chaired by Friedrich Ludwig Bauer. Edited by P. Naur; B. Randell. Conference held 1968-10-07 through 1968-10-11 in Garmisch, Germany. OCLC: 35337842. See http://homepages.cs.ncl.ac.uk/brian.randell/NATO/index.html ; http://homepages.cs.ncl.ac.uk/brian.randell/NATO/nato1968.PDF ; https://dl.acm.org/citation.cfm?id=1102020 ; https://books.google.com/books/about/Software_engineering.html?id=Uc9QAAAAYAAJ . Page 28.
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.
- See Also:
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.
- Keywords: Programming_quotes Software_quotes Humanity_quotes Programmer_quotes Complexity_quotes Algorithm_quotes Machine_quotes Work_quotes Stress_quotes Real_quotes Scoop_quotes Element_quotes Human_quotes Turing(topic)_quotes Neuman(topic)_quotes Inventor_quotes Plenty_quotes Part_quotes Deal_quotes Enormous_quotes Spring_quotes Far_quotes Start_quotes Fun_quotes Coding_quotes Watch_quotes Run_quotes Late_quotes
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).
- Keywords: Cheeseburger_quotes Differences_quotes Production_quotes Development_quotes Manager_quotes Management_quotes Thinking_quotes Philosophy_quotes Environment_quotes Fast_Food_quotes Efficiency_quotes Error_quotes Machine_quotes Humanity_quotes Job_quotes Work_quotes Goofing_Off_quotes Worker_quotes Interchangeable_quotes Fungibility_quotes Status_Quo_quotes Optimization_quotes Change_quotes Steady_State_quotes Innovation_quotes Standards_quotes Book_quotes Experiment_quotes Headquarter_quotes Mentality_quotes Fatal_quotes Damp_quotes Imagination_quotes Steady_quotes State_quotes Eliminate_quotes Reason_quotes Make_quotes Sell_quotes Problem_quotes Effective_quotes Opposite_quotes
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.
- Keywords: Machine_quotes Programming_quotes Problem_quotes Computer_quotes Gigantic_quotes
Machines Can Think
“The question of whether Machines Can Think... is about as relevant as the question of whether Submarines Can Swim.”
- Source: Dijkstra (1984) The threats to computing science (EWD898). Retrieved from http://www.cs.utexas.edu
/users /EWD /transcriptions /EWD08xx /EWD898.html.
- Keywords: Question_quotes Machine_quotes Thinking_quotes Submarine_quotes Swimming_quotes Artificial_Intelligence_quotes Relevant_quotes
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?”
- Source: Eddington, A. (1932). The Nature of the Physical World (Cheap). Cambridge, England: Cambridge University Press. Retrieved from http://henry.pha.jhu.edu
/Eddington.2008.pdf. Chapter VII. page 130.
- Keywords: Brain_quotes Mind_quotes Thinking_quotes Fact_quotes Indisputable_quotes World_quotes Knowledge_quotes Certainty_quotes Hypothesis_quotes Plausible_quotes Evidence_quotes Physics_quotes Tool_quotes Systematic_quotes Exploration_quotes Discovery_quotes Atom_quotes Electron_quotes Field_quotes Space_quotes Time_quotes Energy_quotes Physical_quotes Materialism_quotes Temperature_quotes Entropy_quotes Illusion_quotes Perversity_quotes Interpretation_quotes Interplay_quotes Folly_quotes Experience_quotes Question_quotes Human_quotes Think_quotes Find_quotes Entity_quotes Undoubted_quotes Element_quotes Machine_quotes
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).
- Keywords: Government_quotes Guard_quotes Acquire_quotes Unwarranted_quotes Influence_quotes Military_quotes Defense_quotes Industrial_quotes Complex_quotes Potential_quotes Disaster_quotes Rise_quotes Misplace_quotes Power_quotes Existence_quotes Persistence_quotes Weight_quotes Combination_quotes Danger_quotes Freedom_quotes Liberty_quotes Democracy_quotes Process_quotes Grant_quotes Assumption_quotes Alert_quotes Knowledge_quotes Citizen_quotes Compel_quotes Machine_quotes Peace_quotes Methodology_quotes Goal_quotes Security_quotes Prosperity_quotes Together_quotes Cooperation_quotes Regulation_quotes
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.
- Keywords: Concern_quotes Production_quotes Quick_quotes Fast_quotes Better_quotes Cheap_quotes Study_quotes Paradox_quotes Status_Quo_quotes Operator_quotes Machine_quotes Practical_quotes Perspective_quotes Point_of_View_quotes Knowledge_quotes Unpractical_quotes DownToEarth_quotes UpInTheAir_quotes
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.
- Keywords: Mathematics_quotes Big_quotes Human_quotes Mind_quotes More_quotes Machine_quotes
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.”
- Source: Eugene G. Grace, American Industrialist (1876-1960). Quoted in the book entitled Isaac Asimov's Book of Science and Nature Quotations. Edited by Isaac Asimov; Jason A. Shulman. Published in 1988 by Weidenfeld and Nicolson. ISBN 1555841112. Available online at https://archive.org/details/BookOfScienceAndNatureQuotations-IsaacAsimov section 22.2.
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.”
- Source: J.A. Haar in a report entitled Software Engineering: Report of a Conference Sponsored by the NATO Science Committee. Chaired by Friedrich Ludwig Bauer. Edited by P. Naur; B. Randell. Conference held 1968-10-07 through 1968-10-11 in Garmisch, Germany. OCLC: 35337842. See http://homepages.cs.ncl.ac.uk/brian.randell/NATO/index.html ; http://homepages.cs.ncl.ac.uk/brian.randell/NATO/nato1968.PDF ; https://dl.acm.org/citation.cfm?id=1102020 ; https://books.google.com/books/about/Software_engineering.html?id=Uc9QAAAAYAAJ . Page 52.
- Keywords: Standards_quotes Documentation_quotes Programming_quotes Comment_quotes Program_quotes Symbolic_quotes Machine_quotes Language_quotes Remark_quotes
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.”
- Source: Stephen Hawking in a BBC television interview on 2014-12-02. Video available online at https://www.bbc.com/news/technology-30290540 retrieved 2024-05-25.
- Keywords: Development_quotes Full_quotes Artificial_quotes Intelligence_quotes End_quotes Human_quotes Race_quotes Humanity_quotes Know_quotes Happen_quotes Exceed_quotes Machine_quotes Infinite_quotes Help_quotes Ignore_quotes Sideline_quotes Conceive_quotes Destroy_quotes Singularity_quotes
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.
- Keywords: Time_quotes Tyrant_quotes Chronic_quotes Aware_quotes Hand_quotes Train_quotes Clock_quotes Task_quotes Period_quotes Record_quotes Fraction_quotes Machine_quotes Pace_quotes Consciousness_quotes Unit_quotes Acute_quotes Start_quotes Daily_quotes Ancestor_quotes Eccentric_quotes Instant_quotes Significance_quotes Existence_quotes Invention_quotes Locomotive_quotes Watt_quotes Stevenson_quotes
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.
- Keywords: Machine_quotes Write_quotes Sonnet_quotes Compose_quotes Concerto_quotes Thought_quotes Emotion_quotes Feel_quotes Chance_quotes Fall_quotes Symbol_quotes Agree_quotes Equal_quotes Brain_quotes Know_quotes Artificial_quotes Signal_quotes Easy_quotes Contrivance_quotes Pleasure_quotes Success_quotes Grief_quotes Valve_quotes Fuse_quotes Warm_quotes Flattery_quotes Misery_quotes Mistake_quotes Charm_quotes Sex_quotes Anger_quotes Depression_quotes Want_quotes Get_quotes
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.
- Keywords: Single_quotes Error_quotes Program_quotes Thousand_quotes Line_quotes Long_quotes Prevent_quotes Run_quotes Correct_quotes Computer_quotes Programmer_quotes Fanatic_quotes Exact_quotes Group_quotes Perfectionist_quotes Work_quotes Arcane_quotes Specialty_quotes Sociologist_quotes Study_quotes Man_quotes Machine_quotes Interface_quotes Find_quotes Personality_quotes Change_quotes Prolong_quotes Exposure_quotes Severe_quotes Logical_quotes Software_quotes Engineering_quotes Software_Engineering_quotes
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).
- Keywords: Success_quotes Deep_quotes Learning_quotes Remarkable_quotes Primary_quotes Show_quotes Question_quotes Certain_quotes Task_quotes Thought_quotes Difficult_quotes Fact_quotes Address_quotes Prevent_quotes Achieve_quotes Humanlike_quotes AI_quotes Artificial_quotes Intelligence_quotes Result_quotes Public_quotes Believe_quotes Strong_quotes Machine_quotes Think_quotes Human_quotes Around_quotes Corner_quotes Here_quotes Already_quotes Reality_quotes Nothing_quotes Farther_quotes Truth_quotes
Alan_Perlis
Understanding Programs
“To understand a program you must become both the machine and the program.”
- Source: Perlis, A. J. (1982). Special Feature: Epigrams on programming. ACM SIGPLAN Notices, 17(9), 7–13. http://doi.org/10.1145/947955.1083808
- Keywords: Understanding_quotes Program_quotes Programming_quotes Become_quotes Machine_quotes
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).
- Keywords: Thinking_quotes Importance_quotes Computer_Science_quotes Computing_quotes Fun_quotes Pay_quotes Customer_quotes Shaft_quotes Complaint_quotes Serious_quotes Responsibility_quotes Success_quotes Error_quotes Error-Free_quotes Perfect_quotes Machine_quotes Quality_quotes Defect_quotes Stretch_quotes Innovation_quotes New_quotes Direction_quotes House_quotes Field_quotes Loss_quotes Sense_quotes Missionary_quotes Evangelism_quotes Bible_quotes Salesman_quotes World_quotes Knowledge_quotes Learning_quotes Feel_quotes Key_quotes Hand_quotes Intelligence_quotes Ability_quotes Sight_quotes First_quotes Extraordinary_quotes Science_quotes Learn_quotes
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.
- Keywords: Learning_quotes Surround_quotes Gas_quotes Force_quotes Field_quotes Happen_quotes Magic_quotes Possibility_quotes Innate_quotes Machine_quotes Design_quotes Do_quotes Understanding_quotes Way_quotes Thinking_quotes Replace_quotes Science_quotes Prescience_quotes Metaphor_quotes Mix_quotes Writing_quotes Slate_quotes Block_quotes Marble_quotes Sculpting_quotes
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.
- Keywords: Computation_quotes Theory_quotes Embrace_quotes Alternative_quotes Kind_quotes Computer_quotes Element_quotes Activity_quotes Degree_quotes Correspondence_quotes Probability_quotes Statement_quotes True_quotes False_quotes Level_quotes Change_quotes Smooth_quotes Register_quotes Rough_quotes Accuracy_quotes Sight_quotes Way_quotes Brain_quotes Work_quotes Key_quotes Idea_quotes Answer_quotes Question_quotes System_quotes Smart_quotes Stuff_quotes Energy_quotes Flow_quotes Part_quotes Machine_quotes Stand_quotes Pattern_quotes Inside_quotes Design_quotes Mirror_quotes Fuzzy_quotes Truth_quotes Preservation_quotes Mind_quotes
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.”
- Source: Simon, H. A. (1996). The Sciences of the Artificial (Third Edition). Computers & Mathematics with Applications (3rd ed., Vol. 33). Cambridge, MA: MIT Press. ISBN: 9780585360102. Retrieved 2018-08-23 from https://monoskop.org/images/9/9c/Simon_Herbert_A_The_Sciences_of_the_Artificial_3rd_ed.pdf. Chapter 4, page 93.
- Keywords: Writing_quotes Programming_quotes Computer_quotes Program_quotes Language_quotes Exception_quotes Machine_quotes Process_quotes Data_quotes Structure_quotes Interpretation_quotes Compilation_quotes Instruction_quotes Understanding_quotes Execution_quotes Purpose_quotes Convenience_quotes Simplicity_quotes Ignore_quotes Translation_quotes Step_quotes Treat_quotes High_quotes Level_quotes Representation_quotes
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.
- Keywords: Definition_quotes Number_quotes Computable_quotes Decimal_quotes Write_quotes Machine_quotes
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.
- Keywords: AI_quotes Artificial_quotes Intelligence_quotes Fight_quotes Ourself_quotes Harm_quotes People_quotes Society_quotes Follow_quotes Relationship_quotes Machine_quotes Foreign_quotes Assault_quotes Symptom_quotes Internal_quotes Disorder_quotes Full_quotes Human_quotes Pathology_quotes Require_quotes Collective_quotes Self_quotes Examination_quotes Critique_quotes Heal_quotes
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.
- Keywords: Modest_quotes Subset_quotes Represent_quotes Digital_quotes Form_quotes Generate_quotes Store_quotes Sufficient_quotes Quantity_quotes Quality_quotes Useful_quotes Event_quotes Happen_quotes Once_quotes Generation_quotes Person_quotes One_quotes Billion_quotes World_quotes Alter_quotes Virtual_quotes Invisible_quotes Machine_quotes Learn_quotes Model_quotes Data_quotes AI_quotes Artificial_quotes Intelligence_quotes
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.
- See Also:
- Keywords: Egoless_quotes Programming_quotes Group_quotes Conquer_quotes Ego_quotes Computing_quotes Neumann_quotes Programmer_quotes Recognition_quotes Inadequacy_quotes Examination_quotes Peer_Review_quotes Error_quotes Clumsy_quotes Genius_quotes Flawless_quotes Action_quotes Doubt_quotes Ability_quotes Human_Limitations_quotes Training_quotes Humanity_quotes Functional_quotes Machine_quotes Control_quotes Success_quotes Problem_quotes Exist_quotes Earliest_quotes Respect_quotes Work_quotes Constant_quotes Assert_quotes Lousy_quotes Incessant_quotes Push_quotes People_quotes Read_quotes Image_quotes Unparallel_quotes Realize_quotes Human_quotes Limitation_quotes Head_quotes Shoulder_quotes Above_quotes Average_quotes Inability_quotes Value_quotes
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.
- Keywords: Manager_quotes Level_quotes Programmer_quotes Deskill_quotes Skill_quotes Ability_quotes Technology_quotes Hardware_quotes Language_quotes Machine_quotes Survey_quotes Originally_quotes Rare_quotes Certainly_quotes Time_quotes Lost_quotes Reach_quotes Height_quotes Rapid_quotes Change_quotes Programming_quotes Technique_quotes Higher_quotes Obsolete_quotes Retain_quotes Keep_quotes Hone_quotes Longer_quotes Use_quotes Small_quotes Working_quotes Line_quotes First_quotes Thought_quotes
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.
- Keywords: Computer_quotes Comprehension_quotes Judgment_quotes Technology_quotes Workplace_quotes Meaning_quotes Purpose_quotes Employment_quotes Control_quotes Smart_quotes Machine_quotes Advent_quotes Invitation_quotes Relax_quotes Human_quotes Critical_quotes Massive_quotes Diffusion_quotes Dramatic_quotes Loss_quotes Opportunity_quotes Electronic_quotes Milieu_quotes Engender_quotes World_quotes Individual_quotes Lost_quotes Work_quotes Daily_quotes Life_quotes
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.
- Keywords: Management_quotes Automation_quotes Labor_quotes Economics_quotes Logic_quotes Technology_quotes Expenditure_quotes Cost_quotes Justification_quotes Capital_quotes Skill_quotes Knowledge_quotes Compelling_quotes Reality_quotes Drive_quotes Narrow_quotes Conceive_quotes Emphasis_quotes Web_quotes Operate_quotes Frequent_quotes Substitution_quotes Human_quotes Contributor_quotes Transfer_quotes Function_quotes Machine_quotes System_quotes