Intelligence quotes

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Robert_N_Britcher

Mixed Abstractions

“... computer systems and programming attract brainy people because symbol systems mix abstractions. One thing appears to be something else depending on how you look at it.”
  • Source: Britcher, Robert N. (1999). The Limits of Software: People, Projects, and Perspectives. Reading, MA: Addison Wesley. ISBN 0-201-43323-0. Page 129.
Keywords: Computer_quotes System_quotes Brain_quotes Intelligence_quotes People_quotes Abstraction_quotes Perception_quotes Appearance_quotes Programming_quotes Programmer_quotes Symbol_quotes Depend_quotes Look_quotes

John_Dewey

Scientific Method

“The scientific method is the only authentic means at our command for getting at the significance of our everyday experiences of the world in which we live. It means that scientific method provides a working pattern of the way in which and the conditions under which experiences are used to lead ever onward and outward. ... Consequently, whatever the level of experience, we have no choice but either to operate in accord with the pattern it provides or else to neglect the place of intelligence in the development and control of a living and moving experience.”
  • Source: John Dewey, In Experience And Education (1938), 88
Keywords: Science_quotes Scientific_Method_quotes Authenticity_quotes Significance_quotes Experience_quotes World_quotes Choice_quotes Pattern_quotes Intelligence_quotes Improvement_quotes Method_quotes Condition_quotes Onward_quotes Outward_quotes Operate_quotes Accord_quotes Neglect_quotes Development_quotes Control_quotes Living_quotes Moving_quotes

Edsger_Wybe_Dijkstra

Competent Programmer

“The competent programmer is fully aware of the strictly limited size of his own skull; therefore he approaches the programming task in full humility, and among other things he avoids clever tricks like the plague.”
Keywords: Competence_quotes Programmer_quotes Programming_quotes Limitation_quotes Intelligence_quotes Humility_quotes Trick_quotes Plague_quotes Aware_quotes Size_quotes Skull_quotes Approach_quotes Task_quotes Avoid_quotes Clever_quotes

Henry_Ford

Failure

“An absence of fear of the future and of veneration for the past. One who fears the future, who fears failure, limits his activities. Failure is only the opportunity more intelligently to begin again. There is no disgrace in honest failure; there is disgrace in fearing to fail. What is past is useful only as it suggests ways and means for progress.”
  • Source: Henry Ford. A book. Entitled My Life and Work. Written by Henry Ford in collaboration with Samuel Crowther. Published 1922, Garden City, NY: Doubleday. Introduction.
    • Also quoted in Samuel Crowther, "Henry Ford's Problem," The Magazine of Business, vol. 52 (1927), p. 182.
Keywords: Absence_quotes Fear_quotes Future_quotes Veneration_quotes Past_quotes Failure_quotes Limitation_quotes Activity_quotes Opportunity_quotes Intelligence_quotes Disgrace_quotes Shame_quotes Suggestion_quotes Progress_quotes

Yuval_Noah_Harari

Role of AI

“AI is taking up the role of both bureaucrats and mythmakers. AI systems know how to find and process data better than flesh-and-blood bureaucrats, and AI is also acquiring the ability to compose stories better than most humans.”
  • Source: Yuval Noah Harari writing in his book ‘Nexus: A Brief History of Information Networks from the Stone Age to AI’. Published in 2024 by Random House. Kindle edition. Chapter 3 page 68. ISBN 978-0593734247.
Keywords: Artificial_Intelligence_quotes AI_quotes Artificial_quotes Intelligence_quotes Role_quotes Bureaucrat_quotes Mythmaker_quotes System_quotes Knowledge_quotes Find_quotes Process_quotes Data_quotes Better_quotes Flesh_quotes Blood_quotes Acquire_quotes Ability_quotes Compose_quotes Story_quotes Human_quotes

AI and Religion

“At the heart of every religion lies the fantasy of connecting to a superhuman and infallible intelligence. This is why... studying the history of religion is highly relevant to present-day debates about AI.”
  • Source: Yuval Noah Harari writing in his book ‘Nexus: A Brief History of Information Networks from the Stone Age to AI’. Published in 2024 by Random House. Kindle edition. Chapter 4 page 71. ISBN 978-0593734247.
Keywords: Artificial_Intelligence_quotes AI_quotes Artificial_quotes Intelligence_quotes Superhuman_quotes Infallible_quotes Study_quotes History_quotes Religion_quotes Relevant_quotes Present_quotes Day_quotes Debate_quotes God_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.”

Joseph_Heller

Protective Rationalization

“The chaplain had mastered, in a moment of divine intuition, the handy technique of protective rationalization, and he was exhilarated by his discovery. It was miraculous. It was almost no trick at all, he saw, to turn vice into virtue and slander into truth, impotence into abstinence, arrogance into humility, plunder into philanthropy, thievery into honor, blasphemy into wisdom, brutality into patriotism, and sadism into justice. Anybody could do it; it required no brains at all. It merely required no character.”
  • Source: Heller, Joseph. 'Catch-22: 50th Anniversary Edition'. Chapter 34 'Thanksgiving', page 427. Simon & Schuster. Kindle Edition.
Keywords: Chaplain_quotes Master_quotes Moment_quotes Divine_quotes Intuition_quotes Handy_quotes Technique_quotes Protective_Rationalization_quotes Protective_quotes Rationalization_quotes Exhilarated_quotes Discovery_quotes Miraculous_quotes Trick_quotes Vice_quotes Virtue_quotes Slander_quotes Truth_quotes Impotence_quotes Abstinence_quotes Arrogance_quotes Humility_quotes Plunder_quotes Philanthropy_quotes Thievery_quotes Honor_quotes Blasphemy_quotes Wisdom_quotes Brutality_quotes Patriotism_quotes Sadism_quotes Justice_quotes Brain_quotes Intelligence_quotes Character_quotes

Donald_Hoffman

AI Computation

“If we look at an LLM [Large Language Model] or a future AI [Artificial Intelligence], it's going to be some kind of computational system. And computational systems have their limits. We have Gödel who said that at a minimum. I'm betting that you and I are avatars of an infinite intelligence that's the true source of all creativity and that Einstein or any scientist taps into when they come up with their truly original ideas. The first step would be to say, if it's just a computational bias, then it doesn't transcend. It doesn't get to this true originality. But then there's a deeper level... These are just avatars in a particular headset. So why can't we create a new avatar in our headset that looks like a computer that is actually an avatar of the deep intelligence? If we are only going to stick with the computational thing... But somehow the [human] avatar is a portal into the infinite consciousness... And we know one way of creating new portals into this infinite consciousness, and that is having kids. So that is one technology that allows us to do that. Once we understand spacetime as a headset, and we understand the headset and at least some layers of its relationship to the infinite reality, that's the source of true insight and true originality and creativity, could we figure out new ways to open up genuine new portals, and might that look like AI… The jury is out.”
  • Source: Donald Hoffman, in the YouTube video entitled “Donald Hoffman's New Approach To Consciousness” channel “Dr Brian Keating”. Online at <https://youtu.be/mU_WBela71Y?si=fNfLLsOsUDRDC1XD> posted 2024-08, retrieved 2024-08. In video at 1:14:40.
Keywords: Look_quotes LLM_quotes Large_quotes Language_quotes Model_quotes Future_quotes AI_quotes Artificial_quotes Intelligence_quotes Computation_quotes System_quotes Limit_quotes Gödel(topic)_quotes Minimum_quotes Bet_quotes Avatar_quotes Infinite_quotes True_quotes Source_quotes Creativity_quotes Einstein(topic)_quotes Scientist_quotes Tap_quotes Original_quotes Idea_quotes Bias_quotes Transcend_quotes Deep_quotes Level_quotes Particular_quotes Headset_quotes Create_quotes New_quotes Computer_quotes Actual_quotes Human_quotes Portal_quotes Consciousness_quotes Kid_quotes Technology_quotes Allow_quotes Understand_quotes Spacetime_quotes Relationship_quotes Reality_quotes Figure_quotes Way_quotes Open_quotes Genuine_quotes Jury_quotes

Douglas_Hofstadter

Stepping Back

“What AI sorely lacks is programs which can step back and take a look at what is going on, and with this perspective, reorient themselves to the task at hand.”
  • Source: Hofstadter, Douglas R. (1979). Gödel, Escher, Bach: an Eternal Golden Braid. Written by Douglas R. Hofstadter. Basic Books, New York, NY. ISBN 13: 978-046502656-2. ISBN 10: 046502656-7. Chapter 18. Page 613.
Keywords: Artificial_quotes Intelligence_quotes Lack_quotes Program_quotes Step_quotes Back_quotes Look_quotes Go_quotes Perspective_quotes Reorient_quotes Task_quotes Hand_quotes Artificial_Intelligence_quotes

Artificial Intelligence Art Problems

“Artificial Intelligence, when it reaches the level of human intelligence — or even if it surpasses it — will still be plagued by the problems of art, beauty, and simplicity, and will run up against these things constantly in its own search for knowledge and understanding.”
  • Source: Hofstadter, Douglas R. (1979). Gödel, Escher, Bach: an Eternal Golden Braid. Written by Douglas R. Hofstadter. Basic Books, New York, NY. ISBN 13: 978-046502656-2. ISBN 10: 046502656-7. Chapter 20. Page 695.
Keywords: Artificial_quotes Intelligence_quotes Reach_quotes Level_quotes Human_quotes Surpass_quotes Plague_quotes Problem_quotes Art_quotes Beauty_quotes Simplicity_quotes Run_quotes Up_quotes Against_quotes Constant_quotes Search_quotes Knowledge_quotes Understanding_quotes Artificial_Intelligence_quotes

Grace_Hopper

Information Flood

“We're flooding people with information. We need to feed it through a processor. A human must turn information into intelligence or knowledge. We've tended to forget that no computer will ever ask a new question.”
  • Source: Grace Hopper as quoted in "The Wit and Wisdom of Grace Hopper" by Philip Schieber in OCLC Newsletter, No. 167 (March/April 1987).
Keywords: Information_quotes Knowledge_quotes Artificial_Intelligence_quotes Creativity_quotes Flood_quotes People_quotes Feed_quotes Processor_quotes Human_quotes Intelligence_quotes Forget_quotes Computer_quotes Ask_quotes New_quotes Question_quotes

Daniel_Kahneman

Intelligence

“Intelligence is not only the ability to reason; it is also the ability to find relevant material in memory and to deploy attention when needed.”
Keywords: Intelligence_quotes Ability_quotes Reason_quotes Find_quotes Relevance_quotes Material_quotes Deploy_quotes Attention_quotes Need_quotes

Laozi

Knowing

“Knowing others is intelligence; knowing yourself is true wisdom.”
  • Source: Laozi in “Tao Te Ching”, chapter 33, as interpreted by Stephen Mitchell (1992).
Keywords: Knowing_quotes Other_quotes Intelligence_quotes Self_quotes True_quotes Wisdom_quotes

Pierre-Simon_Laplace

System of Nature

“The present state of the system of nature is evidently a consequence of what it was in the preceding moment, and if we conceive of an intelligence that at a given instant comprehends all the relations of the entities of this universe, it could state the respective position, motions, and general affects of all these entities at any time in the past or future. Physical astronomy, the branch of knowledge that does the greatest honor to the human mind, gives us an idea, albeit imperfect, of what such an intelligence would be. The simplicity of the law by which the celestial bodies move, and the relations of their masses and distances, permit analysis to follow their motions up to a certain point; and in order to determine the state of the system of these great bodies in past or future centuries, it suffices for the mathematician that their position and their velocity be given by observation for any moment in time. Man owes that advantage to the power of the instrument he employs, and to the small number of relations that it embraces in its calculations. But ignorance of the different causes involved in the production of events, as well as their complexity, taken together with the imperfection of analysis, prevents our reaching the same certainty about the vast majority of phenomena. Thus there are things that are uncertain for us, things more or less probable, and we seek to compensate for the impossibility of knowing them by determining their different degrees of likelihood. So it was that we owe to the weakness of the human mind one of the most delicate and ingenious of mathematical theories, the science of chance or probability.”
  • Source: Pierre-Simon Laplace, 'Recherches, 1º, sur l'Intégration des Équations Différentielles aux Différences Finies, et sur leur Usage dans la Théorie des Hasards' (1773, published 1776). In Oeuvres complètes de Laplace, 14 Vols. (1843-1912), Vol. 8, 144-5, trans. Charles Coulston Gillispie, Pierre-Simon Laplace 1749-1827: A Life in Exact Science (1997), 26.
Keywords: State_quotes Present_quotes System_quotes Nature_quotes Consequence_quotes Moment_quotes Precede_quotes Conceive_quotes Intelligence_quotes Instant_quotes Comprehension_quotes Relationship_quotes Universe_quotes Position_quotes Motion_quotes Causality_quotes Time_quotes Past_quotes Future_quotes Astronomy_quotes Knowledge_quotes Humanity_quotes Mind_quotes Idea_quotes Imperfect_quotes Law_quotes Celestial_quotes Body_quotes Mass_quotes Distance_quotes Analysis_quotes Determine_quotes Century_quotes Mathematics_quotes Velocity_quotes Observation_quotes Advantage_quotes Power_quotes Instrument_quotes Calculation_quotes Ignorance_quotes Cause_quotes Production_quotes Event_quotes Complexity_quotes Certainty_quotes Majority_quotes Phenomena_quotes Probability_quotes Impossibility_quotes Likelihood_quotes Weakness_quotes Theory_quotes Chance_quotes

Ipek_Ozkaya

Next Generation Software Engineers

“With LLMs and their sister AI-driven apps assisting developers, we need to be teaching next-generation software engineers when to trust, how to create evidence to trust, how to do trust assessment rapidly and correctly, and how to improve such assistants.”
  • Source: Ipek Ozkaya, “Application of Large Language Models to Software Engineering Tasks: Opportunities, Risks, and Implications,” in IEEE Software, volume 40, number 3, pages 4-8, May-June 2023, DOI: 10.1109/MS.2023.3248401.
Keywords: LLM_quotes Large_quotes Language_quotes Model_quotes Sister_quotes AI_quotes Artificial_quotes Intelligence_quotes App_quotes Application_quotes Assist_quotes Developer_quotes Need_quotes Teach_quotes Next_quotes Generation_quotes Software_quotes Engineer_quotes Trust_quotes Create_quotes Evidence_quotes Assessment_quotes Rapid_quotes Correct_quotes Improve_quotes Assistant_quotes

Data as Code

“We need to teach them [software engineers] how to evolve systems to incorporate such [AI] components, and we need to teach them to treat data as code.”
  • Source: Ipek Ozkaya, “Application of Large Language Models to Software Engineering Tasks: Opportunities, Risks, and Implications,” in IEEE Software, volume 40, number 3, pages 4-8, May-June 2023, DOI: 10.1109/MS.2023.3248401.
Keywords: Teach_quotes Software_quotes Engineer_quotes Evolve_quotes System_quotes Incorporate_quotes AI_quotes Artificial_quotes Intelligence_quotes Component_quotes Treat_quotes Data_quotes Code_quotes Need_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

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

Neurons to Consciousness

“None of us has a brain that can actually put us in touch with reality unaided with truth. I've just shown you a bunch of gadgetry that responds to things that are essential to our survival, things that prevent us from falling off cliffs and bumping into trees. But they don't actually correspond to any clear description of the world as it is. So we have, for example, circuitry that responds to the edges rather than the physical distribution of light, because edges are important, that's where objects leave off and their backgrounds begin. Moreover, they can be fooled, as I did with each one of you. That since our neural circuitry does consist of a mechanism, not a pipeline to the truth or a window onto objective reality. That is naïve realism we know is false because there are illusions. You can't just trust your senses. That means we need some way of augmenting the faculties that nature gave us to make our beliefs as accurate as possible. Which of course is why the early modern philosophers made such a big deal of visual illusions. They said you can't just open your eyes and see the world as it is. Look at all these illusions. So what we do, what gives some of us confidence that our beliefs are objectively true is that they are part of an institutional infrastructure of testing and criticism and logic and determining which hypotheses withstand criticism and attempts at refutation. Devising exotic arrangements of reality to reflect the way reality is put together, namely experiments. Thanks to this huge network of minds, each one of them making up for deficits of all the others, we like to think that we have a collective grasp on truth that none of us individually can have. But of course, it's always fallible. The religious beliefs I think were actually pretty reasonable hypotheses in earlier states of our collective knowledge. Even Richard Dawkins said that before Darwin he probably would have been a creationist because the cosmic engineer was the only available explanation for the obvious adaptive complexity of living things. I would add that prior to the advent of modern neuroscience I probably would have believed in souls because there was no better explanation for phenomena such as that people respond intelligently to their environments. When you dream some part of you is up and about the world while your body is in bed the whole time. That seems like there must be some part of you that can leave your body. When a person suddenly dies some kind of animating force no longer seems to be animating the body that was there just a few minutes ago. So the soul hypothesis is not a stupid or irrational belief, nor is creationism if it's the best that you have. Now, of course, we can do better. But doing better in part depends not just on this cumulative weight of evidence and argument. But because few of us can actually reconstruct the scientific observations that justify the theory of natural selection or the theory of neural networks, all of us, at least a little bit, take it on faith in the following sense; that there is a community that you trust enough because when they have been challenged to defend their beliefs they can connect them to reality. They have shown that it isn't magic. That they have given reason to trust them because they've convinced you that they're the mores of their culture, of their scientific culture, designed so that they will find true things and weed out false things. If you don't have a degree of solidarity or trust, if you think that scientists are all in cahoots with big corporations or are trying to tear down all faith and values and meaning and you simply refuse to follow through the very long chain of deduction that connects the claims to the experiments, then you'll naturally reject it just because it's not your tribe. For you and me scientists are our tribe and we're apt to give them some credibility, indeed some credulousness, knowing that if ever challenged it would be repaid. But unless you trace that through it can be all too easy to reject the conclusions of science, and indeed a number of studies have shown that contrary to the common belief that people believe in falsehoods, such as that vaccines cause autism or that humans were created five thousand years ago or that the burning of fossil fuels has no effect on global temperatures, it turns out that people with those beliefs that we have every reason to believe are false are no more scientifically naïve on average than people that have beliefs that are scientifically justified. You give a test on evolution to a bunch of people who believe in evolution, give it to a bunch of creationists, there's not much difference in how well they score. In fact, often they are equal. Likewise, the typical grasp of climate science among someone who signs on to the scientific consensus is not much better than the adamant deniers. That kind of dashes the hope that simply by increasing the quality of science education you will lead people to more accurate beliefs. There, in addition, has to be a dissociation of who you think are the good guys and who are the bad guys from who has the best claims to truth. That's what it depends on.”
Keywords: Accuracy_quotes Adament_quotes Adaptability_quotes Addition_quotes Advent_quotes Aid_quotes Animate_quotes Argue_quotes Arrangement_quotes Attempt_quotes Augment_quotes Autism_quotes Availability_quotes Background_quotes Bad_quotes Bed_quotes Belief_quotes Best_quotes Big_quotes Body_quotes Brain_quotes Bump_quotes Bunch_quotes Burn_quotes Cahoot_quotes Chain_quotes Challenge_quotes Circuit_quotes Claim_quotes Clear_quotes Cliff_quotes Climate_quotes Collective_quotes Complexity_quotes Common_quotes Community_quotes Conclusion_quotes Confidence_quotes Connection_quotes Consensus_quotes Consist_quotes Contrary_quotes Convince_quotes Cooperation_quotes Corporation_quotes Correspondence_quotes Cosmic_quotes Creationism_quotes Credibility_quotes Criticism_quotes Culture_quotes Cumulative_quotes Dash_quotes Deal_quotes Death_quotes Deception_quotes Deduction_quotes Defence_quotes Deficit_quotes Degree_quotes Deny_quotes Dependence_quotes Description_quotes Design_quotes Determine_quotes Devise_quotes Differences_quotes Dissociation_quotes Distribution_quotes Dreaming_quotes Early_quotes Easy_quotes Edge_quotes Education_quotes Effect_quotes Engineer_quotes Environment_quotes Essential_quotes Evidence_quotes Evolution_quotes Exotic_quotes Experiment_quotes Explanation_quotes Eye_quotes Faculty_quotes Faith_quotes Fall_quotes Fallible_quotes False_quotes Few_quotes Find_quotes Follow_quotes Fool_quotes Force_quotes Fossil_quotes Fuel_quotes Gadget_quotes Global_quotes Good_quotes Grasp_quotes Guy_quotes Huge_quotes Hypothesis_quotes Illusion_quotes Importance_quotes Increasing_quotes Individual_quotes Infrastructure_quotes Institution_quotes Intelligence_quotes Irrational_quotes Justification_quotes Knowledge_quotes Leave_quotes Life_quotes Light_quotes Logic_quotes Long_quotes Magic_quotes Meaning_quotes Mechanism_quotes Mind_quotes Modern_quotes Moral_quotes Naïve_quotes Nature_quotes Natural_Selection_quotes Network_quotes Neural_quotes Neuroscience_quotes Object_quotes Objectivity_quotes Observation_quotes Obvious_quotes Part_quotes People_quotes Perception_quotes Phenomena_quotes Philosophy_quotes Physical_quotes Pipeline_quotes Possibility_quotes Prehistoric_quotes Prevent_quotes Reality_quotes Reason_quotes Reconstruct_quotes Reflection_quotes Refuse_quotes Refutation_quotes Rejection_quotes Religion_quotes Repay_quotes Respond_quotes Science_quotes Scientist_quotes Score_quotes Seem_quotes Selection_quotes Sense_quotes Show_quotes Sight_quotes Solidarity_quotes Soul_quotes State_quotes Study_quotes Stupidity_quotes Survival_quotes Tear_quotes Temperature_quotes Testing_quotes Theory_quotes Thinking_quotes Time_quotes Touch_quotes Trace_quotes Tree_quotes Tribal_quotes Trust_quotes Truth_quotes Try_quotes Typical_quotes Unaided_quotes Vaccine_quotes Value_quotes Visual_quotes Weed_quotes Weight_quotes Whole_quotes Window_quotes Withstand_quotes World_quotes

Mind and Soul

“The traditional explanation of intelligence is that human flesh is suffused with a non-material entity, the soul, usually envisioned as some kind of ghost or spirit. But the theory faces an insurmountable problem: How does the spook interact with solid matter? How does an ethereal nothing respond to flashes, pokes, and beeps and get arms and legs to move? Another problem is the overwhelming evidence that the mind is the activity of the brain.”
  • 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 The search for Intelligent Life in the Universe.
Keywords: Tradition_quotes Explanation_quotes Intelligence_quotes Human_quotes Flesh_quotes Suffuse_quotes Non-Material_quotes Material_quotes Entity_quotes Envision_quotes Kind_quotes Ghost_quotes Spirit_quotes Theory_quotes Insurmountable_quotes Problem_quotes Spook_quotes Interaction_quotes Solid_quotes Matter_quotes Ethereal_quotes Nothing_quotes Respond_quotes Flash_quotes Poke_quotes Beep_quotes Arm_quotes Leg_quotes Movement_quotes Overwhelm_quotes Evidence_quotes Mind_quotes Activity_quotes Brain_quotes Soul_quotes

Rittel_and_Webber

Planning Problems are Wicked Problems

“A great many barriers keep us from perfecting such a planning/governing system. Theory is inadequate for decent forecasting, our intelligence is insufficient to our tasks, plurality of objectives held by pluralities of politics makes it impossible to pursue unitary aims, and so on. The difficulties attached to rationality are tenacious, and we have so far been unable to get untangled from their web. This is partly because the classical paradigm of science and engineering - the paradigm that has underlain modern professionalism - is not applicable to the problems of open societal systems.”
Keywords: Great_quotes Barrier_quotes Keep_quotes Perfect_quotes Plan_quotes Govern_quotes System_quotes Theory_quotes Inadequate_quotes Decent_quotes Forecast_quotes Intelligence_quotes Insufficient_quotes Task_quotes Pluralistic_quotes Objective_quotes Political_quotes Impossibility_quotes Pursuit_quotes Unitary_quotes Aim_quotes Difficulty_quotes Attach_quotes Rational_quotes Tenacious_quotes Untangle_quotes Web_quotes Classical_quotes Paradigm_quotes Science_quotes Engineering_quotes Modern_quotes Professional_quotes Applicable_quotes Problem_quotes Society_quotes

George_Sarton

Scientific Progress

“No history of civilization can be tolerably complete which does not give considerable space to the explanation of scientific progress. If we had any doubts about this, it would suffice to ask ourselves what constitutes the essential difference between our and earlier civilizations. Throughout the course of history, in every period, and in almost every country, we find a small number of saints, of great artists, of men of science. The saints of today are not necessarily more saintly than those of a thousand years ago; our artists are not necessarily greater than those of early Greece; they are more likely to be inferior; and of course, our men of science are not necessarily more intelligent than those of old; yet one thing is certain, their knowledge is at once more extensive and more accurate. The acquisition and systematization of positive knowledge is the only human activity which is truly cumulative and progressive. Our civilization is essentially different from earlier ones, because our knowledge of the world and of ourselves is deeper, more precise, and more certain, because we have gradually learned to disentangle the forces of nature, and because we have contrived, by strict obedience to their laws, to capture them and to divert them to the gratification of our own needs.”
  • Source: George (Alfred Léon) Sarton, Introduction to the History of Science (1927), Vol. 1, 3-4.
Keywords: History_quotes Civilization_quotes Tolerance_quotes Completion_quotes Explanation_quotes Science_quotes Progress_quotes Doubt_quotes Sufficient_quotes Constitute_quotes Essential_quotes Differences_quotes Early_quotes Course_quotes Period_quotes Country_quotes Small_quotes Saint_quotes Great_quotes Art_quotes Intelligence_quotes Old_quotes Year_quotes Greece_quotes Inferior_quotes Knowledge_quotes Extension_quotes Accuracy_quotes Acquire_quotes System_quotes Positive_quotes Humanity_quotes Activity_quotes True_quotes Cumulative_quotes World_quotes Depth_quotes Precision_quotes Certainty_quotes Gradual_quotes Learning_quotes Disentangle_quotes Force_quotes Nature_quotes Contrive_quotes Strict_quotes Obedience_quotes Law_quotes Capture_quotes Divergence_quotes Gratify_quotes Need_quotes Progressive_quotes

Herbert_Simon

Artificial Intelligence Satisfice

“The alternative methods provided by AI, most often in the form of heuristic search (selective search using rules of thumb), find decisions that are 'good enough', that satisfice.”
Keywords: Artificial_Intelligence_quotes Alternative_quotes Methodology_quotes Provide_quotes Form_quotes Heuristic_quotes Search_quotes Selection_quotes Rule_quotes Thumb_quotes Decision_quotes Find_quotes Good_quotes Satisfice_quotes Satisfaction_quotes Intelligence_quotes

Shannon_Vallor

AI Mirror

“AI systems mirror our own intelligence back to us. This is the source of their growing commercial and scientific power.”
  • Source: From the book “The AI Mirror” by Shannon Vallor. Published 2024 by Oxford University Press. ISBN 978-0197759066. Introduction, page 2.
Keywords: AI_quotes Artificial_quotes Intelligence_quotes Mirror_quotes Back_quotes Source_quotes Grow_quotes Commercial_quotes Scientific_quotes Power_quotes

AI Threat Within

“It [AI] threatens us from within our humanity.”
  • 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 Threat_quotes Within_quotes Humanity_quotes

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 Holds Us

“AI holds us frozen in place, fascinated by endless permutations of a reflected past that only the magic of marketing can disguise as the future.”
  • Source: From the book “The AI Mirror” by Shannon Vallor. Published 2024 by Oxford University Press. ISBN 978-0197759066. Introduction, page 6.
Keywords: AI_quotes Artificial_quotes Intelligence_quotes Hold_quotes Frozen_quotes Place_quotes Fascinate_quotes Endless_quotes Permutation_quotes Reflect_quotes Past_quotes Magic_quotes Marketing_quotes Disguise_quotes Future_quotes

AI Danger Us

“We are the source of the danger to ourselves from AI, and this is a good thing —  it means we hold the power to resist, and the power to heal.”
  • Source: From the book “The AI Mirror” by Shannon Vallor. Published 2024 by Oxford University Press. ISBN 978-0197759066. Introduction, page 7.
Keywords: AI_quotes Artificial_quotes Intelligence_quotes Source_quotes Danger_quotes Ourself_quotes Good_quotes Thing_quotes Mean_quotes Hold_quotes Power_quotes Resist_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

Generative AI

“It’s what generative AI tools are designed to do — generate new content that looks or sounds right. Whether it is right is another matter altogether.”
  • Source: From the book “The AI Mirror” by Shannon Vallor. Published 2024 by Oxford University Press. ISBN 978-0197759066. Chapter 2, page 48.
Keywords: AI_quotes Artificial_quotes Intelligence_quotes Generative_quotes Tool_quotes Design_quotes Do_quotes Generate_quotes Content_quotes Look_quotes Sound_quotes Right_quotes Another_quotes Matter_quotes

AI Longtermism

“What longtermists and effective altruists have in common... is the utilitarian view that morality is a happiness optimization problem, a matter of running the numbers. Conveniently for AI enthusiasts... For a virtue ethicist like me, there are profound dangers and moral errors in any view of morality that separates it from humane feeling, relational bonds, and social context, reducing it to a mere computation of net happiness units.”
  • Source: From the book “The AI Mirror” by Shannon Vallor. Published 2024 by Oxford University Press. ISBN 978-0197759066. Chapter 3, page 77.
Keywords: AI_quotes Artificial_quotes Intelligence_quotes Longtermism_quotes Effective_quotes Altruist_quotes Common_quotes Utilitarian_quotes View_quotes Morality_quotes Happiness_quotes Optimization_quotes Problem_quotes Matter_quotes Run_quotes Number_quotes Convenient_quotes Enthusiast_quotes Virtue_quotes Ethicist_quotes Profound_quotes Danger_quotes Moral_quotes Error_quotes Separate_quotes Human_quotes Feel_quotes Relational_quotes Bond_quotes Social_quotes Context_quotes Reduce_quotes Mere_quotes Computation_quotes Net_quotes Unit_quotes

AI Creative Expression

“The heart of creative work is not creation, but expression... A generative AI model has nothing it needs to say.”
  • Source: From the book “The AI Mirror” by Shannon Vallor. Published 2024 by Oxford University Press. ISBN 978-0197759066. Chapter 5, page 141.
Keywords: AI_quotes Artificial_quotes Intelligence_quotes Longtermism_quotes Heart_quotes Creative_quotes Work_quotes Creation_quotes Expression_quotes Generative_quotes Model_quotes Nothing_quotes Need_quotes Say_quotes

AI Danger Inside

“The danger to our humanity from AI is not really coming from AI itself. The call is coming from inside the house; AI can devalue our humanity only because we already devalued it ourselves.”
  • Source: From the book “The AI Mirror” by Shannon Vallor. Published 2024 by Oxford University Press. ISBN 978-0197759066. Chapter 5, page 142.
Keywords: AI_quotes Artificial_quotes Intelligence_quotes Danger_quotes Humanity_quotes Come_quotes Call_quotes Inside_quotes House_quotes Devalue_quotes Already_quotes Ourself_quotes

Ludwig_Wittgenstein

Philosophy Bewitchment

“Philosophy is a battle against the bewitchment of our intelligence by means of language.”
  • Source: Ludwig Wittgenstein in “Philisophical Investigations”, published posthumously in 1958 by Macmillan Publishing Company. New York, NY. Part I, paragraph 109. Originally published in German posthumously in 1953.
Keywords: Philosophy_quotes Battle_quotes Against_quotes Bewitchment_quotes Intelligence_quotes Means_quotes Language_quotes
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