Quotes about algorithm (38 quotes) | Quotes of famous people

“When you write a computer program you've got to not just list things out and sort of take an algorithm and translate it into a set of instructions. But when there's a bug — and all programs have bugs — you've got to debug it. You've got to go in, change it, and then re-execute … and you iterate. And that iteration is really a very, very good approximation of learning.”

Nicholas Negroponte (1943) American computer scientist

Nicholas Negroponte: A 30-year history of the future http://www.ted.com/talks/nicholas_negroponte_a_30_year_history_of_the_future, July 2014, TED Talks (about 13:40 into 19:43 video).
A 30-year history of the future, TED Talk (2014)

Learning , Change

“Essentially, a fuzzy algorithm is an ordered sequence of instructions (like a computer program) in which some of the instructions may contain labels or fuzzy sets, e. g.:
Reduce x slightly if y is very large
Increase x very slightly if y is not very large and not very small
If x is small then stop; otherwise increase x by 2.”

Lotfi A. Zadeh (1921–2017) Electrical engineer and computer scientist

Source: 1970s, Outline of a new approach to the analysis of complex systems and decision processes (1973), p. 30

“An algorithm must be seen to be believed.”

Donald Ervin Knuth book The Art of Computer Programming

Vol. I, Fundamental Algorithms, Section 1.1 (1968)
The Art of Computer Programming (1968–2011)
Source: Leaders in Computing: Changing the digital world

“I think that the figure of the nerd provides a beautiful template for analyzing the transformation of the disciplinary society into the control society. The nerd, in his cliche form, first stepped out upon the world stage in the mid-1970s, when we were beginning to hear the first rumblings of what would become the Cambrian explosion of the information society. The nerd must serve as comic relief for the future-anxieties of Western society. And the transformation I'm talking about is already in full swing: the police gaze of 19th- and 20th-century disciplinary society made visible the individual, which is illuminated by power. In our burgeoning technological control society, the individual is x-rayed and algorithmized. Even worse: the individuals x-ray themselves, willingly putting themselves on display.”

Johannes Grenzfurthner (1975) Austrian artist, writer, curator, and theatre and film director

via Boing Boing http://boingboing.net/2016/04/14/the-story-of-traceroute-about.html

World , Beauty , Thinking , Future

“I often think, if NLP people put as much effort into the training data as the algorithms, our systems would perform much better.”

Adam Kilgarriff (1960–2015) linguist from England

in Discussion on Corpora-list (2 February 2015) http://mailman.uib.no/public/corpora/2015-February/021917.html

People , Thinking , Effort , Training

“If I ask another professor what he teaches in the introductory programming course, whether he answers proudly "Pascal" or diffidently "FORTRAN," I know that he is teaching a grammar, a set of semantic rules, and some finished algorithms, leaving the students to discover, on their own, some process of design.”

Robert Floyd (1936–2001) American computer scientist

The Paradigms of Programming (1979)

“[C++] certainly has its good points. But by and large I think it's a bad language. It does a lot of things half well and it’s just a garbage heap of ideas that are mutually exclusive. Everybody I know, whether it’s personal or corporate, selects a subset and these subsets are different. So it’s not a good language to transport an algorithm—to say, "I wrote it; here, take it." It’s way too big, way too complex. And it’s obviously built by a committee. Stroustrup campaigned for years and years and years, way beyond any sort of technical contributions he made to the language, to get it adopted and used. And he sort of ran all the standards committees with a whip and a chair. And he said "no" to no one. He put every feature in that language that ever existed. It wasn't cleanly designed—it was just the union of everything that came along. And I think it suffered drastically from that.”

Ken Thompson (1943) American computer scientist, creator of the Unix operating system

Ken Thompson; cited in
"Coders At Work", 2009

Way , Idea , Thinking , Suffering

“Of course, by 2033 many new professions are likely to appear, for example, virtual-world designers. But such professions will probably require much more creativity and flexibility than current run-of-the-mill jobs, and it is unclear whether forty-year-old cashiers or insurance agents will be able to reinvent themselves as virtual-world designers (try to imagine a virtual world created by an insurance agent!). And even if they do so, the pace of progress is such that within another decade they might have to reinvent themselves yet again. After all, algorithms might well outperform humans in designing virtual worlds too. The crucial problem isn’t creating new jobs. The crucial problem is creating new jobs that humans perform better than algorithms.20”

Yuval Noah Harari book Homo Deus: A Brief History of Tomorrow

Homo Deus: A Brief History of Tomorrow

World , Imagination , Problem , Appearance

“Constructs extraneous to the real world should be eliminated from the analysis model. They may be needed later during design, but not now. For example, CPU subroutine, process, algorithm, and interrupt are implementation constructs for most applications [and should be excluded from the analysis model]…”

James Rumbaugh (1947) Computer scientist, software engineer

Source: Object-oriented modeling and design (1990), p. 155; as cited in: Roger Chiang et al (2009, p. 165)

World

“One of the first applications of the simplex algorithm was to the determination of an adequate diet that was of least cost. In the fall of 1947, Jack Laderman of the Mathematical Tables Project of the National Bureau of Standards undertook, as a test of the newly proposed simplex method, the first large-scale computation in this field. It was a system with nine equations in seventy-seven unknowns. Using hand-operated desk calculators, approximately 120 man-days were required to obtain a solution. … The particular problem solved was one which had been studied earlier by George Stigler (who later became a Nobel Laureate) who proposed a solution based on the substitution of certain foods by others which gave more nutrition per dollar. He then examined a "handful" of the possible 510 ways to combine the selected foods. He did not claim the solution to be the cheapest but gave his reasons for believing that the cost per annum could not be reduced by more than a few dollars. Indeed, it turned out that Stigler's solution (expressed in 1945 dollars) was only 24 cents higher than the true minimum per year $39.69.”

George Dantzig (1914–2005) American mathematician

cited in: John J. O'Connor & Edmund F.; Robertson (2003) " George Dantzig http://www-history.mcs.st-and.ac.uk/Biographies/Dantzig_George.html". in: MacTutor History of Mathematics archive, University of St Andrews.
Linear programming and extensions (1963)

Food , Way , Mathematics , Problem

“Regardless of how secure a communication line is and how unbreakable a cryptographic algorithm seems to be, the weak links are often the endpoints - the sender (before encryption) and the recipient (after decryption) - unless they are code talkers using a language more obscure than Navajo.”

Newton Lee American computer scientist

Counterterrorism and Cybersecurity: Total Information Awareness (2nd Edition), 2015

Communication

“I really do believe we can stuff enough algorithms in a movie that only the dedicated hackers can spend the time and effort to try to plumb through those 1,000 algorithms to try to find a way to beat it.”

Jack Valenti (1921–2007) President of the MPAA

Engadget interview (2004)

Way , Effort , Time

“All such problems can be formulated as mathematical programming problems. Naturally, we can propose many sophisticated algorithms and a theory but the final test of a theory is its capacity to solve the problems which originated it.”

George Dantzig (1914–2005) American mathematician

Source: Linear programming and extensions (1963), p. vii.

Mathematics , Nature , Problem

“Since 1954, the raw speed of computers, as measured by the time it takes to do an addition, increased by a factor of 10,000. That means an algorithm that once took 10 minutes to perform can now be done 15 times a second. Students sometimes ask my advice on how to get rich. The best advice I can give them is to dig up some old algorithm that once took forever, program it for a modern workstation, form a startup to market it and then get rich.”

Maurice Wilkes (1913–2010) British computer scientist

"A Half Century of Surprises", in Talking Back to the Machine: Computers and Human Aspiration‎, Ed. Peter J. Denning, Springer, 1999, ISBN 0387984135, p. 112

Time , Speed

“Annette’s communiqué is anodyne; a giggling confession off camera (shower-curtain rain in the background) that the famous Manfred Macx is in Paris for a weekend of clubbing, drugging, and general hell-raising. Oh, and he’s promised to invent three new paradigm shifts before breakfast every day, starting with a way to bring about the creation of Really Existing Communism by building a state central planning apparatus that interfaces perfectly with external market systems and somehow manages to algorithmically outperform the Monte Carlo free-for-all of market economics, solving the calculation problem. Just because he can, because hacking economics is fun, and he wants to hear the screams from the Chicago School.”

Charles Stross book Accelerando

Source: Accelerando (2005), Chapter 2 (“Troubadour”), pp. 57-58

School , Way , Communication , Hell

“The predecessors of Newton and Leibnitz knew perfectly well how to determine tangents and areas, but they had to approach each problem from first principles. The great contribution of Newton and Leibnitz was precisely to make the procedures for finding tangents, areas, etc. into a calculus, that is, a systematic way of calculating—a collection of algorithms, to use the currently fashionable word.”

Ralph P. Boas Jr. (1912–1992) American mathematician

[Calculus as an Experimental Science, 78, 6, 1971, 664–667, The American Mathematical Monthly, 10.2307/2316582]

Way , Fashion , Problem

“A development method may be regarded as a path or a procedure by which the developer proceeds from a problem of a certain class to a solution of a certain class. In trivial cases, the method may be fully algorithmic; for example, there is an algorithmic procedure for obtaining the square root of a nonnegative number to any desired degree of accuracy.”

Michael A. Jackson (1936) British computer scientist

Michael A. Jackson. "A system development method," in: Tools and notions for program construction: An advanced course, Cambridge University Press, 1982. p. 1

Problem

“I find OOP methodologically wrong. It starts with classes. It is as if mathematicians would start with axioms. You do not start with axioms - you start with proofs. Only when you have found a bunch of related proofs, can you come up with axioms. You end with axioms. The same thing is true in programming: you have to start with interesting algorithms. Only when you understand them well, can you come up with an interface that will let them work.”

Alexander Stepanov (1950) Russian programmer

An Interview with A. Stepanov by Graziano Lo Russo, 2008-04-25 http://www.stlport.org/resources/StepanovUSA.html,

Understanding

“What is the shortest way to travel from Rotterdam to Groningen, in general: from given city to given city. It is the algorithm for the shortest path, which I designed in about twenty minutes. One morning I was shopping in Amsterdam with my young fiancée, and tired, we sat down on the café terrace to drink a cup of coffee and I was just thinking about whether I could do this, and I then designed the algorithm for the shortest path. As I said, it was a twenty-minute invention. In fact, it was published in ’59, three years late. The publication is still readable, it is, in fact, quite nice. One of the reasons that it is so nice was that I designed it without pencil and paper. I learned later that one of the advantages of designing without pencil and paper is that you are almost forced to avoid all avoidable complexities. Eventually that algorithm became, to my great amazement, one of the cornerstones of my fame.”

Edsger W. Dijkstra (1930–2002) Dutch computer scientist

Dijkstra (2001), in an interview with Philip L. Frana. (OH 330; Communications of the ACM 53(8):41–47)
2000s

Way , Travel , Coffee , Drink

“As a mathematical object, the constitution is maximally simple, consistent, necessarily incomplete, and interpretable as a model of natural law. Political authority is allocated solely to serve the constitution. There are no authorities which are not overseen, within nonlinear structures. Constitutional language is formally constructed to eliminate all ambiguity and to be processed algorithmically. Democratic elements, along with official discretion, and legal judgment, is incorporated reluctantly, minimized in principle, and gradually eliminated through incremental formal improvement. Argument defers to mathematical expertise. Politics is a disease that the constitution is designed to cure.”

Nick Land (1962) British philosopher

"A Republic, If You Can Keep It" https://web.archive.org/web/20140327090001/http://www.thatsmags.com/shanghai/articles/12321 (2013) (original emphasis)

Disease , Law , Mathematics , Nature

“I think we will see personalized music stations in the next few years… controlled by computer algorithms… I think it will be important that… listeners have an "adventuresomeness" knob that will control the mix of old and new, or the mix of how far out the new music is from what they usually listen to.”

Daniel Levitin (1957) American psychologist

This is Your Brain on Music (2006)

Music , Thinking , Personality

“The problem that still remains to be solved is that of the orderable matrix, that needs the use of imagination… When the two components of a data table are orderable, the normal construction is the orderable matrix. Its permutations show the analogy and the complementary nature that exist between the algorithmic treatments and the graphical treatments.”

Jacques Bertin (1918–2010) French geographer and cartographer

About the traditionally low interest in theory of graphics
Interview with Jacques Bertin (2003)

Imagination , Nature , Problem

“It wasn’t businessmen who developed new technology and science but amateur inventors or salaried professors instead; from the foundation of this country to the invention of the Internet, continuing with Einstein and finally, the arrival of the first man on the moon. Not to mention, the basis of the sciences—which were shaped by those horrible and uncivilized Arabs centuries before—from the numbers that we use to Algebra to algorithms and many other sciences and philosophies that are part of Western civilization today, continuing with the Europeans in the 17th century. None of these men were businessmen, of course.”

Jorge Majfud (1969) Uruguayan-American writer

Carta abierta a Donald Trump http://www.huffingtonpost.es/jorge-majfud/carta-abierta-a-donald-tr_b_10218246.html Translation at The Huffington Post http://www.huffingtonpost.com/entry/57dc39fee4b0d5920b5b2aac?timestamp=1474051083758.

Men , Science , Parting , Country

“Someone from the Internet Writing Workshop sent me a link to the Gender Genie, where you paste in a section of text and it uses an algorithm to detect whether the author is male or female. Or, if you’re an author, you can tell whether you’re really nailing your opposite-sex characters. I mean, nailing their dialog.”

Max Barry (1973) Australian writer

August 8, 2005 weblog post http://www.maxbarry.com/2005/08/08/news.html#girlyman

Sex , Past

“Computer science is still a young field. The first computers were built in the mid 1940s, since when the field has developed tremendously. Applications from the early years of computerization can be characterized as follows: the programs were quite small, certainly when compared to those that are currently being constructed; they were written by one person; they were written and used by experts in the application area concerned. The problems to be solved were mostly of a technical nature, and the emphasis was on expressing known algorithms efficiently in some programming language. Input typically consisted of numerical data, read from such media as punched tape or punched cards. The output, also numeric, was printed on paper. Programs were run off-line. If the program contained errors, the programmer studied an octal or hexadecimal dump of memory. Sometimes, the execution of the program would be followed by binary reading machine registers at the console.”

Hans van Vliet (1949) Dutch computer scientist

Source: Software Engineering: Principles and Practice, 2007, p. 2

Error , Nature , Problem , Study

“Mathematics my foot! Algorithms are mathematics too, and often more interesting and definitely more useful.”

Doron Zeilberger (1950) Israeli mathematician

The Narrow-Minded and Ignorant Referee's Report [and Zeilberger's Response] of Zeilberger's Paper "Automaric CounTilings" that was rejected by Helene Barcelo and the Members of the Advisory Board [that includes(!) Enumeration Expert Mireille Bousquet-Melou] of the Journal of Combinatorial Theory-Series A. http://www.math.rutgers.edu/~zeilberg/RefTipesh.html

Mathematics

“The fact that a computer player wins a game of chess or bridge with a human does not necessarily mean that the device is intelligent. The victory results from the fact that in the final analysis the device has been applied appropriate algorithms developed by man, e. g. using the properties of artificial neural networks. It is not the device that wins with a man, e. g. a chess player, but a man – the designer of the device. It is simply the rivalry of one intellect with another through the medium of computer science.”

Zygmunt Vetulani (1950) Polish mathematician

Tumiłowicz, Bronisław (February 2018): Zrób sobie mózg https://www.tygodnikprzeglad.pl/zrob-sobie-mozg/. Przegląd (6/2018): pp. 58–59.

Game , Intelligence , Science , Victory

“For having a clear influence on methodologies for the creation of efficient and reliable software, and for helping to found the following important subfields of computer science: the theory of parsing, the semantics of programming languages, automatic program verification, automatic program synthesis, and analysis of algorithms.”

Robert Floyd (1936–2001) American computer scientist

1978 Turing Award Citation https://web.archive.org/web/20070708004814/http://awards.acm.org/citation.cfm?id=4173633&srt=all&aw=140&ao=AMTURING.
About

Science , Help

“Knowledge is encoded in models. Models are synthetic sets of rules, and pictures, and algorithms providing us with useful representations of the world of our perceptions and of their patterns.”

Didier Sornette (1957) French scientist

Source: Why Stock Markets Crash - Critical Events in Complex Systems (2003), Chapter 5, Modeling Financial Bubbles And Market Crashes, p. 134.

World , Knowledge

“I have a simple algorithm, which is, wherever you see paid researchers instead of grad students, that's not where you want to be doing research.”

Larry Page (1973) American computer scientist and Internet entrepreneur

Plenary speech, http://www.youtube.com/watch?v=8_3OCq_vTWM AAAS Annual conference, San Francisco (February 2007).

“Anyone, from the most clueless amateur to the best cryptographer, can create an algorithm that he himself can't break.”

Bruce Schneier (1963) American computer scientist

Memo to the Amateur Cipher Designer, Schneier, Bruce, 1998-10-15, Cryptogram newsletter http://www.schneier.com/crypto-gram-9810.html#cipherdesign, (aka Schneier's Law)
Cryptography

“And so everything you try to say about how the native cognitive algorithm goes astray, ends up being contrasted to their direct perception of the Way Things Really Are—and discarded as obviously wrong.”

Eliezer Yudkowsky (1979) American blogger, writer, and artificial intelligence researcher

How an Algorithm Feels from the Inside http://lesswrong.com/lw/no/how_an_algorithm_feels_from_inside/, (February 2008)
Context: People cling to their intuitions, I think, not so much because they believe their cognitive algorithms are perfectly reliable, but because they can't see their intuitions as the way their cognitive algorithms happen to look from the inside. And so everything you try to say about how the native cognitive algorithm goes astray, ends up being contrasted to their direct perception of the Way Things Really Are—and discarded as obviously wrong.

Way

“In general, the shorter the possible representation… the less random… On this view we recognize science to be the search for algorithmic compressions.”

John D. Barrow (1952–2020) British scientist

New Theories of Everything (2007)
Context: We say that the string is 'random' if there is no other representation of the string which is shorter than itself. But we will say that it is 'non-random' if there does exist such an abbreviated representation.... In general, the shorter the possible representation... the less random... On this view we recognize science to be the search for algorithmic compressions.<!--Ch. 1, p. 11

Search , Science

“My experience is that journalists report on the nearest-cliche algorithm, which is extremely uninformative because there aren’t many cliches, the truth is often quite distant from any cliche, and the only thing you can infer about the actual event was that this was the closest cliche.”

Eliezer Yudkowsky (1979) American blogger, writer, and artificial intelligence researcher

Predictible Fakers (January 2009) http://www.overcomingbias.com/2009/01/predictible-fakers.html
Context: My experience is that journalists report on the nearest-cliche algorithm, which is extremely uninformative because there aren’t many cliches, the truth is often quite distant from any cliche, and the only thing you can infer about the actual event was that this was the closest cliche.... It is simply not possible to appreciate the sheer awfulness of mainstream media reporting until someone has actually reported on you. It is so much worse than you think.

Truth , Distant

“No algorithm exists for the metaphor, nor can a metaphor be produced by means of a computer's precise instructions, no matter what the volume of organized information to be fed in.”

Umberto Eco book Semiotics and the Philosophy of Language

[3] Metaphor, 3.12. Conclusions
Semiotics and the Philosophy of Language (1984)
Context: No algorithm exists for the metaphor, nor can a metaphor be produced by means of a computer's precise instructions, no matter what the volume of organized information to be fed in. The success of a metaphor is a function of the sociocultural format of the interpreting subjects' encyclopedia. In this perspective, metaphors are produced solely on the basis of a rich cultural framework, on the basis, that is, of a universe of content that is already organized into networks of interpretants, which decide (semiotically) the identities and differences of properties. At the same time, content universe, whose format postulates itself not as rigidly hierarchized but, rather, according to Model Q, alone derives from the metaphorical production and interpretation the opportunity to restructure itself into new nodes of similarity and dissimilarity.

“Algorithms existed for at least five thousand years, but people did not know that they were algorithmizing.”

Doron Zeilberger (1950) Israeli mathematician

An Enquiry Concerning Human (and Computer!) [Mathematical] Understanding C.S. Calude, ed., "Randomness & Complexity, from Leibniz to Chaitin", World Scientific, Singapore, (October 2007)
Context: Algorithms existed for at least five thousand years, but people did not know that they were algorithmizing. Then came Turing (and Post and Church and Markov and others) and formalized the notion.

People

“If we are willing to make such efforts in order to understand foreign cultures, unknown species and distant planets, it might be worth working just as hard in order to understand our own minds. And we had better understand our minds before the algorithms make our minds up for us.”

Yuval Noah Harari book 21 Lessons for the 21st Century

21 Lessons for the 21st Century

Distant , Making love , Understanding , Effort

“This (machine learning algorithm that can predict SARS-CoV-2 virus mutations) is a real-time companion to vaccine development. What we can do with our model right now is a lot faster than what you can do in the lab.”

Bryan Bryson researcher (ORCID 0000-0003-1716-6712)

Source: Bryan Bryson (2021) cited in " As COVID-19 Mutates, AI Algorithms Keep Pace https://spectrum.ieee.org/the-human-os/biomedical/devices/ai-predicts-most-potent-covid-19-mutations" on IEEE Spectrum, 20 January 2021.

Time , Learning