Algorithms Quotes

I would say the larger the pool you have to select from, the more likely you are to find the most compatible person for you if you have the right algorithms working on your behalf. ~ Sam Yagan

The key to a solid foundation in data structures and algorithms is not an exhaustive survey of every conceivable data structure and its subforms, with memorization of each's Big-O value and amortized cost. ~ Robert Love

It used to be that people went to their doctor to find out what was wrong. That was the expectation when someone made an appointment with their local family doctor: they wanted to know what they had and how they could feel better. Ear infection: what should I take? Pulled muscle: what should I do? Broken ankle: how can you fix it? Over the years, something happened to this common sense approach. "Algorithms" and "pathways" have proliferated in ways that have reduced each person's unique story to simplistic recipes. More often than not, this cookbook approach ends up telling patients what they don't have - which, while potentially reassuring, does not result in a real diagnosis.1 ~ Leana Wen

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

To get the most out of an algorithm, you must be able to do more than simply follow its steps. You need to understand the following: The algorithm's behavior. Does it find the best possible solution, or does it just find a good solution? Could there be multiple best solutions? Is there a reason to pick one "best" solution over the others? The algorithm's speed. Is it fast? Slow? Is it usually fast but sometimes slow for certain inputs? The algorithm's memory requirements. How much memory will the algorithm need? Is this a reasonable amount? Does the algorithm require billions of terabytes more memory than a computer could possibly have (at least today)? The main techniques the algorithm uses. Can you reuse those techniques to solve similar problems? ~ Rod Stephens

Programming is a science dressed up as art, because most of us don't understand the physics of software and it's rarely, if ever, taught. The physics of software is not algorithms, data structures, languages, and abstractions. These are just tools we make, use, and throw away. The real physics of software is the physics of people. Specifically, it's about our limitations when it comes to complexity and our desire to work together to solve large problems in pieces. This is the science of programming: make building blocks that people can understand and use easily, and people will work together to solve the very largest problems. ~ Pieter Hintjens

I'm not a supermodel. That's not what I do. What I do is music. I want my fans to feel the way I do, to know what they have to offer is just as important, more important, than what's happening on the outside. ~ Lady Gaga

Humanity is on the verge of digital slavery at the hands of AI and biometric technologies. One way to prevent that is to develop inbuilt modules of deep feelings of love and compassion in the learning algorithms. ~ Amit Ray

When we go online, we commit ourselves to the care of online mechanisms. Digital Band-Aids for digital wounds. We feed ourselves into machines, hoping some algorithm will digest the mess that is our experience into something legible, something more meaningful than the "bag of associations" we fear we are. ~ Michael Harris

Mathematics is as much an aspect of culture as it is a collection of algorithms. ~ Carl Benjamin Boyer

Lead generation excels when a campaign is looking to capture a piece of factual intelligence that could never be modelled or predicted through profiling and sophisticated propensity algorithms. ~ Chris Cunningham

[The Euclidean algorithm is] the granddaddy of all algorithms, because it is the oldest nontrivial algorithm that has survived to the present day. ~ Donald Knuth

Good SEO work only gets better over time. It's only search engine tricks that need to keep changing when the ranking algorithms change. ~ Jill Whalen

machine learning algorithms are modeled in many ways on human minds, ~ Brett Lantz

When The Daily Muse initially wanted to launch a job board, our first ideas were insanely (and needlessly) complex. We wanted to integrate with social networks, gather rich personal data to build predictive algorithms, and put together numerous cool visualization tools before launching out to the world. We were just sure users would love it! ~ Kathryn Minshew

When Charles Darwin was trying to decide whether he should propose to his cousin Emma Wedgwood, he got out a pencil and paper and weighed every possible consequence. In favor of marriage he listed children, companionship, and the 'charms of music and female chit-chat.' Against marriage he listed the 'terrible loss of time,' lack of freedom to go where he wished, the burden of visiting relatives, the expense and anxiety provoked by children, the concern that 'perhaps my wife won't like London,' and having less money to spend on books. Weighing one column against the other produced a narrow margin of victory, and at the bottom Darwin scrawled, 'Marry - Marry - Marry Q.E.D.' Quod erat demonstrandum, the mathematical sign-off that Darwin himself restated in English: 'It being proved necessary to Marry. ~ Brian Christian

Functional societies need algorithms which reward us for being of service to those who need it most. Instead we have algorithms which reward us for being of service to those who need it least ~ Heather Marsh

These algorithms, which I'll call public relevance algorithms, are-by the very same mathematical procedures-producing and certifying knowledge. The algorithmic assessment of information, then, represents a particular knowledge logic, one built on specific presumptions about what knowledge is and how one should identify its most relevant components. That we are now turning to algorithms to identify what we need to know is as momentous as having relied on credentialed experts, the scientific method, common sense, or the word of God. ~ Tarleton Gillespie

Angel of the Forsaken Hope
Wielder of the Sword of Wind and Obsidian
Slice the Algorithms from our Foe.

Mermaid Beneath the Seven Dancing Moons,
Cantress of the Siren Song,
Drown our Enemies in the Data-stream.

Nymph of the Logic Tree,
Child of the First Word,
Give our Antagonist to Grief. ~ Roger Zelazny

We're trying to evolve a lot away from YouTube because YouTube is awesome - they have a huge audience, and we started there - but then you're at the mercy of their algorithms a lot, too. They can change anything, and it's really up to them, and you can't say anything about it. ~ Anthony Padilla

Consider a cognitive scientist concerned with the empirical study of the mind, especially the cognitive unconscious, and ultimately committed to understanding the mind in terms of the brain and its neural structure. To such a scientist of the mind, Anglo-American approaches to the philosophy of mind and language of the sort discussed above seem odd indeed. The brain uses neurons, not languagelike symbols. Neural computation works by real-time spreading activation, which is neither akin to prooflike deductions in a mathematical
logic, nor like disembodied algorithms in classical artificial intelligence, nor like derivations in a transformational grammar. ~ George Lakoff

I decry the current tendency to seek patents on algorithms. There are better ways to earn a living than to prevent other people from making use of one's contributions to computer science. ~ Donald Knuth

An algorithm must be seen to be believed. ~ Donald Ervin Knuth

The algorithms that orchestrate our ads are starting to orchestrate our lives. ~ Eli Pariser

We at Google have made tremendous advances in understanding language. Our knowledge graph has been fundamental to that. The new algorithm that we launched today called Hummingbird has been a great leap forward. ~ Amit Singhal

Intelligent assistance involves leveraging artificial intelligence to enable the government, individual companies, and the nonprofit social sector to develop more sophisticated online and mobile platforms that can empower every worker to engage in lifelong learning on their own time, and to have their learning recognized and rewarded with advancement. Intelligent assistants arise when we use artificial intelligence to improve the interfaces between humans and their tools with software, so humans can not only learn faster but also act faster and act smarter. Lastly, we need to deploy AI to create more intelligent algorithms, or what Reid Hoffman calls "human networks" - so that we can much more efficiently connect people to all the job opportunities that exist, all the skills needed for each job, and all the educational opportunities to acquire those skills cheaply and easily. ~ Thomas L. Friedman

One of the key algorithms of compassionate artificial intelligence is Mother-Infant Inter-brain Synchrony algorithm, which mimics the brain-to-brain synchrony of gaze, facial expressions, touch and heart rhythms of mother and child. ~ Amit Ray

Rightly or wrongly, people might reach the same conclusions about Big Data algorithms: they have lots of hitches, but we have no better alternative. ~ Yuval Noah Harari

We dont have better algorithms, we just have more data ~ Peter Norvig

Algorithms are simplifications; they can't and don't take everything into account (like a billionaire uncle who has included the applicant in his will and likes to rock-climb without ropes). ~ Andrew McAfee

The next question is how? How does news find us?
What you need is a certain critical literacy about the fact that you are almost always subject to an algorithm. The most powerful thing in your world now is an algorithm about which you know nothing about. ~ Kelly McBride

In fact, there was general agreement that minds can exist on nonbiological substrates and that algorithms are of central importance to the existence of minds. ~ Vernor Vinge

Yet once biologists concluded that organisms are algorithms, they dismantled the wall between the organic and the inorganic, turned the computer revolution from a purely mechanical affair into a biological cataclysm, and shifted authority from individual humans to networked algorithms. ~ Yuval Noah Harari

The classes of problems which are respectively known and not
known to have good algorithms are of great theoretical interest. [ ... ]
I conjecture that there is no good algorithm for the traveling
salesman problem. My reasons are the same as for any mathematical
conjecture: (1) It is a legitimate mathematical possibility, and
(2) I do not know. ~ Jack Edmonds

But the earth turns, and old ways are reexamined. The insurance companies say there are so many deer, so many wrecks. They have algorithms on their side. Kill more deer. Let all the predators live. ~ Matthew Neill Null

If employers begin to use algorithms to infer how intelligent you are or whether you use drugs, then your only choice will be to game the system - or, ~ Christian Rudder

It is best to be the CEO; it is satisfactory to be an early employee, maybe the fifth or sixth or perhaps the tenth. Alternately, one may become an engineer devising precious algorithms in the cloisters of Google and its like. Otherwise, one becomes a mere employee. A coder of websites at Facebook is no one in particular. A manager at Microsoft is no one. A person (think woman) working in customer relations is a particular type of no one, banished to the bottom, as always, for having spoken directly to a non-technical human being. All these and others are ways for strivers to fall by the wayside - as the startup culture sees it - while their betters race ahead of them. Those left behind may see themselves as ordinary, even failures. ~ Ellen Ullman

The perceiving of mathematical truth can be achieved in very many different ways. There can be little doubt that whatever detailed physical activity it is that takes place when a person perceives the truth of some mathematical statement, this physical activity must differ very substantially from individual to individual, even though they are perceiving precisely the same mathematical truth. Thus, if mathematicians just use computational algorithms to form their unassailable mathematical truth judgments, these very algorithms are likely to differ in their detailed construction, from individual to individual. Yet, in some clear sense, the algorithms would have to be equivalent to one another. ~ Roger Penrose

I'm not anti conceptual art. I don't think painting must be revived, exactly. Art reflects life, and our lives are full of algorithms, so a lot of people are going to want to make art that's like an algorithm. But my language is painting, and painting is the opposite of that. There's something primal about it. It's innate, the need to make marks. That's why, when you're a child, you scribble. ~ Jenny Saville

I have no reason to believe that the social scientists at Facebook are actively gaming the political system. Most of them are serious academics carrying out research on a platform that they could only have dreamed about two decades ago. But what they have demonstrated is Facebook's enormous power to affect what we learn, how we feel, and whether we vote. Its platform is massive, powerful, and opaque. The algorithms are hidden from us, and we see only the results of the experiments researchers choose to publish. ~ Cathy O'Neil

There's a belief that whatever it is I'm looking for is out there, but I have a really difficult time finding it. Search algorithms alone are falling short in being able to provide real context around information. ~ Chris Shipley

Manufacturing consent begins by weaponizing the meme and utilizing the censorship algorithms of Google, Facebook, Twitter and YouTube. ~ James Scott, Senior Fellow, The Center For Cyber Influence Operations Studies

Our search for the Master Algorithm is complicated, but also enlivened, by the rival schools of thought that exist within machine learning. The main ones are the symbolists, connectionists, evolutionaries, Bayesians, and analogizers. Each tribe has a set of core beliefs, and a particular problem that it cares most about. It has found a solution to that problem, based on ideas from its allied fields of science, and it has a master algorithm that embodies it. ~ Pedro Domingos

[With AI] Somebody's going to have to think of a completely new algorithm, a new way of doing goal-based planning. ~ Tim Berners-Lee

Maybe, as Mizuko said, we won't even really die, just carry on in the feedback loop we are stuck in. Instead of connecting with new things, widening our worlds, algorithms have shrunk it to a narrow chamber with mirrored walls. ~ Olivia Sudjic

A fashionable idea in technical circles is that quantity not only turns into quality at some extreme of scale, but also does so according to principles we already understand. Some of my colleagues think a million, or perhaps a billion, fragmentary insults will eventually yield wisdom that surpasses that of any well-thought-out essay, so long as sophisticated secret statistical algorithms recombine the fragments. I disagree. A trope from the early days of computer science comes to mind: garbage in, garbage out. ~ Jaron Lanier

Take for example job applications. In the 21st century the decision wherever to hire somebody for a job while increasingly be made by algorithms. We cannot rely on the machines to set the relevant ethical standards, humans will still need to do that, but once we decide on an ethical standard in the job market, that it is wrong to discriminate against blacks or against women for example, we can rely on machines to implement and maintain these standards better than humans. A human manager may know and even agree that is unethical to discriminate against blacks and women but then when a black woman applies for a job the manager subconsciously discriminate against her and decides not to hire her. If we allow a computer to evaluate job applications and program computers to completely ignore race and gender we can be certain that the computer will indeed ignore these factors because computers do not have a subconscious. Of course it won't be easy to write code for evaluating job applications and there is always the danger that the engineers will somehow program their own subconscious biases into the software, yet once we discover such mistakes it would probably be far easier to debug the software than to get rid humans of their racist and misogynist biases. ~ Yuval Noah Harari

Digital dictatorships are not the only danger awaiting us. Alongside liberty, liberal order has also set great store by the value of equality. Liberalism always cherished political equality, and it gradually came to realise that economic equality is almost as important. For without a social safety net and a modicum of economic equality, liberty is meaningless. But just as Big Data algorithms might extinguish liberty, they might simultaneously create the most unequal societies that ever existed. All wealth and power might be concentrated in the hands of a tiny elite, while most people will suffer not from exploitation, but from something far worse – irrelevance. ~ Yuval Noah Harari

Listen, Google,' I will say, 'both John and Paul are courting me. I like both of them, but in a different way, and it's so hard to make up my mind. Given everything you know, what do you advise me to do?'
And Google will answer: 'Well, I know you from the day you were born. I have read all your emails, recorded all your phone calls, and know your favourite films, your DNA and the entire history of your heart. I have exact data about each date you went on, and if you want, I can show you second-by-second graphs of your heart rate, blood pressure and sugar levels whenever you went on a date with John or Paul. If necessary, I can even provide you with accurate mathematical ranking of every sexual encounter you had with either of them. And naturally enough, I know them as well as I know you. Based on all this information, on my superb algorithms, and on decades' worth of statistics about millions of relationships – I advise you to go with John, with an 87 per cent probability of being more satisfied with him in the long run.
Indeed, I know you so well that I also know you don't like this answer. Paul is much more handsome than John, and because you give external appearances too much weight, you secretly wanted me to say "Paul". Looks matter, of course; but not as much as you think. Your biochemical algorithms – which evolved tens of thousands of years ago in the African savannah – give looks a weight of 35 per cent in their overall rating of potential mates. My algorith ~ Yuval Noah Harari

You may not agree with the idea that organisms are algorithms, and that giraffes, tomatoes and human beings are just different methods for processing data. But you should know that this is current scientific dogma, and that it is changing our world beyond recognition. ~ Yuval Noah Harari

In algorithms, as in life, persistence usually pays off. ~ Steven S. Skiena

Capablanca's phenomenal move-searching algorithm in those early years, when he possessed a wonderful ability for calculating variations very rapidly, made him invincible. ~ Mikhail Botvinnik

In mathematics, students are at the mercy of rigidly applied algorithms. They learn to use certain formalisms in certain ways, often effectively, if provided with a pre-arranged signal that a particular formalism is wanted.

In social studies and the humanities, the enemies of understanding are scripts and stereotypes. Students readily believe that events occur in typical ways, and they evoke these scripts even inappropriately. For example, they regard struggles between two parties in a dispute as a "good guy versus bad guy" movie script. ~ Howard Gardner

They were innocent people. They could just do things you couldn't imagine. I can see code, do you get it? Algorithms that confound straights are just patterns to me. They come in my dreams. I dream the most beautiful programs never written. ~ Marcus Sakey

[On identifying talented programmers] It's just enthusiasm. You ask them what's the most interesting program they worked on. And then you get them to describe it and its algorithms and what's going on. If they can't withstand my questioning on their program, then they're not good. I'm asking them to describe something they've done that they've spent blood on. I've never met anybody who really did spend blood on something who wasn't eager to describe what they've done and how they did it and why. I let them pick the subject. I don't pick the subject, so I'm the amateur and they're the professional in this subject. If they can't stand an amateur asking them questions about their profession, then they don't belong. - Ken Thompson ~ Peter Seibel

Object-oriented programming aficionados think that everything is an object ... this [isn't] so. There are things that are objects. Things that have state and change their state are objects. And then there are things that are not objects. A binary search is not an object. It is an algorithm ~ Alexander Stepanov

The combination of Bayes and Markov Chain Monte Carlo has been called "arguably the most powerful mechanism ever created for processing data and knowledge."
Almost instantaneously MCMC and Gibbs sampling changed statisticians' entire method of attacking problems. In the words of Thomas Kuhn, it was a paradigm shift. MCMC solved real problems, used computer algorithms instead of theorems, and led statisticians and scientists into a worked where "exact" meant "simulated" and repetitive computer operations replaced mathematical equations. It was a quantum leap in statistics. ~ Sharon Bertsch McGrayne

Compassionate AI algorithms are focused to feel connected to all living beings and our planet, and make this universe a friendly place for both human and machine to thrive. ~ Amit Ray

Data dominates. If you've chosen the right data structures and organized things well, the algorithms will almost always be self-evident. Data structures, not algorithms, are central to programming. ~ Rob Pike

The emergence of intelligent algorithms and networks such as LaunchCode, which can be used by employers as trusted validators to sow people into the system and not weed them out of it, holds the promise of unlocking a lot of wasted talent. Says Lewis: "If you can do the job, you should get the job." Fortunately, ~ Thomas L. Friedman

Each algorithm is a feedback loop, taking an action, observing the resulting conditions, and taking another action after that. Again, and again, and again. It's an iterative process, in which the algorithms adjust themselves and their activity on every loop, responding less to the news on the ground than to one another. Such systems go out of control because the feedback of their own activity has become louder than the original signal. ~ Douglas Rushkoff

Data Scientists should recall innovation often times is not providing fancy algorithms, but rather value to the customer. ~ Damian Mingle

In the late twentieth century democracies usually outperformed dictatorships because democracies were better at data-processing. Democracy diffuses the power to process information and make decisions among many people and institutions, whereas dictatorship concentrates information and power in one place. Given twentieth-century technology, it was inefficient to concentrate too much information and power in one place. Nobody had the ability to process all the information fast enough and make the right decisions. This is part of the reason why the Soviet Union made far worse decisions than the United States, and why the Soviet economy lagged far behind the American economy.

"However, soon AI might swing the pendulum in the opposite direction. AI makes it possible to process enormous amounts of information centrally. Indeed, AI might make centralised systems far more efficient than diffused systems, because machine learning works better the more information it can analyse. If you concentrate all the information relating to a billion people in one database, disregarding all privacy concerns, you can train much better algorithms than if you respect individual privacy and have in your database only partial information on a million people. For example, if an authoritarian government orders all its citizens to have their DNA scanned and to share all their medical data with some central authority, it would gain an immense advantage in genetics and medical research over soci ~ Yuval Noah Harari

Google released the basic algorithms for a program called TensorFlow for public consumption by the open-source community. TensorFlow is a set of algorithms that enable fast computers to do "deep learning" with big data sets to perform tasks better than a human brain. "By January 2016 we had a course online on how to use the TensorFlow open-source platform to write deep learning algorithms to teach a machine to do anything - copyediting, flying a plane, or legal discovery from documents," explained Thrun. ~ Thomas L. Friedman

I remember that mathematicians were telling me in the 1960s that they would recognize computer science as a mature discipline when it had 1,000 deep algorithms. I think we've probably reached 500. ~ Donald Knuth

From the outside looking in, trying to decipher Google's search algorithms is like reading tea leaves in a toilet bowl ... as it's flushing. With the lights off. ~ Guy Kawasaki

Evolution has no foresight. Complex machinery develops its own agendas. Brains - cheat. Feedback loops evolve to promote stable heartbeats and then stumble upon the temptation of rhythm and music. The rush evoked by fractal imagery, the algorithms used for habitat selection, metastasize into art. Thrills that once had to be earned in increments of fitness can now be had from pointless introspection. Aesthetics rise unbidden from a trillion dopamine receptors, and the system moves beyond modeling the organism. It begins to model the very process of modeling. It consumes evermore computational resources, bogs itself down with endless recursion and irrelevant simulations. Like the parasitic DNA that accretes in every natural genome, it persists and proliferates and produces nothing but itself. Metaprocesses bloom like cancer, and awaken, and call themselves I. ~ Peter Watts

In comparison, Google is brilliant because it uses an algorithm that ranks Web pages by the number of links to them, with those links themselves valued by the number of links to their page of origin. ~ Michael Shermer

And learning, for Musk, is simply the process of "downloading data and algorithms into your brain."3 Among his many frustrations with formal classroom learning is the "ridiculously slow download speed" of sitting in a classroom while a teacher explains something, and to this day, most of what he knows he's learned through reading. ~ Tim Urban

When the lights went out.
It wasn't just the lights. So many things about his physical situation changed all at once that his hindbrain couldn't keep up. It told him to be nauseated just in case he'd been poisoned. It was working with fifty-million-year-old response algorithms. ~ James S.A. Corey

Nature doesn't feel compelled to stick to a mathematically precise algorithm; in fact, nature probably can't stick to an algorithm. ~ Margaret Wertheim

This has serveral consequences, starting with screwing over most cryptography algorithms
translation: all your bank account are belong to us
~ Charles Stross

For his birthday, she'd bought him an iPhone, which he'd returned to the store. He'd apologized, saying that it was a thoughtful gift, but he didn't want to carry a tiny high-powered mainframe on which he could compute astronomical algorithms, or check Facebook. He wanted a phone. ~ Laura Kasischke

It is shown that the golden ratio plays a prominent role in the dimensions of all objects which exhibit five-fold symmetry. It is also showed that among the irrational numbers, the golden ratio is the most irrational and, as a result, has unique applications in number theory, search algorithms, the minimization of functions, network theory, the atomic structure of certain materials and the growth of biological organisms. ~ Richard A. Dunlap

What geographic profiling does is it takes a look at the locations of a connected series of incidents - say murders in a serial murder case or robberies in a serial bank robber case - and it spatially analyzes the point pattern of incidents, and creates a probability surface from those, working from the basis of an algorithm that says people offend close to where they live, but not too close. ~ Kim Rossmo

Watson, Deep Blue, and ever-better machine learning algorithms are cool. But the most valuable companies in the future won't ask what problems can be solved with computers alone. Instead, they'll ask: how can computers help humans solve hard problems? ~ Peter Thiel

Algorithms are not arbiters of objective truth and fairness simply because they're math. ~ Zoe Quinn

No one knows what the right algorithm is, but it gives us hope that if we can discover some crude approximation of whatever this algorithm is and implement it on a computer, that can help us make a lot of progress. ~ Andrew Ng

Don't be fooled by the many books on complexity or by the many complex and arcane algorithms you find in this book or elsewhere. Although there are no textbooks on simplicity, simple systems work and complex don't. ~ Jim Gray

Automate This: How Algorithms Took Over Our Markets, Our Jobs, And The World ~ Anonymous

Algorithms don't do a good job of detecting their own flaws. ~ Clay Shirky

Once Google, Facebook and other algorithms become all-knowing oracles, they may well evolve into agents and finally into sovereigns. ~ Yuval Noah Harari

The challenge, however, is that Google, Facebook, Netflix, and Amazon do not publish their algorithms. In fact, the methods they use to filter the information you see are deeply proprietary and the "secret sauce" that drives each company's profitability. The problem with this invisible "black box" algorithmic approach to information is that we do not know what has been edited out for us and what we are not seeing. As a result, our digital lives, mediated through a sea of screens, are being actively manipulated and filtered on a daily basis in ways that are both opaque and indecipherable. ~ Marc Goodman

The problem with digital architecture is that an algorithm can produce endless variations, so an architect has many choices. ~ Peter Eisenman

If you're trying to predict human economic behavior - and you don't include emotions in your
equation - your predictions will probably be way off. Emotions factor heavily into the algorithms that
produce our trade-off decisions. ~ Tanya Mann

Computing should be taught as a rigorous - but fun - discipline covering topics like programming, database structures, and algorithms. That doesn't have to be boring. ~ Geoff Mulgan

And yet Rebecca felt that it was hard to tell whether the secret algorithms of Big Data did not so much reveal you to yourself as they tried to dictate to you what you were to be. To accept that the machines knew you better than you knew yourself involved a kind of silent assent: you liked the things Big Data told you you were likely to like, and you loved the people it said you were likely to love. To believe entirely in the data entailed a slight diminishment of the self, small but crucial and, perhaps, irreversible. ~ Dexter Palmer

It took me 1057 pages to describe the hundreds of mathematical equations, algorithms and programming techniques that I invented and used. ~ Philip Emeagwali

The greater the uncertainty, the bigger the gap between what you can measure and what matters, the more you should watch out for overfitting - that is, the more you should prefer simplicity ~ Tom Griffiths

The result will not be an Orwellian police state. We always prepare ourselves for the previous enemy, even when we face an altogether new menace. Defenders of human individuality stand guard against the tyranny of the collective, without realising that human individuality is now threatened from the opposite direction. The individual will not be crushed by Big Brother; it will disintegrate from within. Today corporations and governments pay homage to my individuality, and promise to provide medicine, education and entertainment customised to my unique needs and wishes. But in order to so, corporations and governments first need to break me up into biochemical subsystems, monitor these subsystems with ubiquitous sensors and decipher their working with powerful algorithms. In the process, the individual will transpire to be nothing but a religious fantasy. Reality will be a mesh of biochemical and electronic algorithms, without clear borders, and without individual hubs. ~ Yuval Noah Harari

Dataism adopts a strictly functional approach to humanity, appraising the value of human experiences according to their function in data-processing mechanisms. If we develop an algorithm that fulfils the same function better, human experiences will lose their value. Thus if we can replace not just taxi drivers and doctors but also lawyers, poets and musicians with superior computer programs, why should we care if these programs have no consciousness and no subjective experiences? If some humanist starts adulating the sacredness of human experience, Dataists would dismiss such sentimental humbug. 'The experience you praise is just an outdated biochemical algorithm. In the African savannah 70,000 years ago, that algorithm was state-of-the-art. Even in the twentieth century it was vital for the army and for the economy. But soon we will have much better algorithms. ~ Yuval Noah Harari

Netflix will know everything. Netflix will know when a person stops watching it. They have all of their algorithms and will know that this person watched five minutes of a show and then stopped. They can tell by the behavior and the time of day that they are going to come back to it, based on their history. ~ Mitchell Hurwitz

For his major contributions to the analysis of algorithms and the design of programming languages, and in particular for his contributions to the "art of computer programming" through his well-known books in a continuous series by this title. ~ Donald Knuth

The current technological and scientific revolution implies not that authentic individuals and authentic realities can be manipulated by algorithms and TV cameras, but rather that authenticity is a myth. People are afraid of being trapped inside a box, but they don't realise that they are already trapped inside a box – their brain – which is locked within a bigger box – human society with its myriad fictions. When you escape the matrix the only thing you discover is a bigger matrix. When the peasants and workers revolted against the tsar in 1917, they ended up with Stalin; and when you begin to explore the manifold ways the world manipulates you, in the end you realise that your core identity is a complex illusion created by neural networks. ~ Yuval Noah Harari

But the Turing test cuts both ways. You can't tell if a machine has gotten smarter or if you've just lowered your own standards of intelligence to such a degree that the machine seems smart. If you can have a conversation with a simulated person presented by an AI program, can you tell how far you've let your sense of personhood degrade in order to make the illusion work for you?

People degrade themselves in order to make machines seem smart all the time. Before the crash, bankers believed in supposedly intelligent algorithms that could calculate credit risks before making bad loans. We ask teachers to teach to standardized tests so a student will look good to an algorithm. We have repeatedly demonstrated our species' bottomless ability to lower our standards to make information technology look good. Every instance of intelligence in a machine is ambiguous.

The same ambiguity that motivated dubious academic AI projects in the past has been repackaged as mass culture today. Did that search engine really know what you want, or are you playing along, lowering your standards to make it seem clever? While it's to be expected that the human perspective will be changed by encounters with profound new technologies, the exercise of treating machine intelligence as real requires people to reduce their mooring to reality. ~ Jaron Lanier

Dawes observed that the complex statistical algorithm adds little or no value. One can do just as well by selecting a set of scores that have some validity for predicting the outcome and adjusting the values to make them comparable (by using standard scores or ranks). A formula that combines these predictors with equal weights is likely to be just as accurate in predicting new cases as the multiple-regression formula that was optimal in the original sample. More recent research went further: formulas that assign equal weights to all the predictors are often superior, because they are not affected by accidents of sampling. ~ Daniel Kahneman

By 2025, 80 percent of the functions doctors do will be done much better and much more cheaply by machines and machine learned algorithms, ~ Vinod Khosla

Errors per qubit per quantum gate can be handled more efficiently by machine learning techniques. For quantum error correction deep learning algorithms provides greater promises. ~ Amit Ray

The scientists not only sanctified human feelings, but also found an excellent evolutionary reason to do so. After Darwin, biologists began explaining that feelings are complex algorithms honed by evolution to help animals make correct decisions. Our love, our fear and our passion aren't some nebulous spiritual phenomena good only for composing poetry. Rather, they encapsulate millions of years of practical wisdom. When you read the Bible you are getting advice from a few priests and rabbis who lived in ancient Jerusalem. In contrast, when you listen to your feelings, you follow an algorithm that evolution has developed for millions of years, and that withstood the harshest quality-control tests of natural selection. Your feelings are the voice of millions of ancestors, each of whom managed to survive and reproduce in an unforgiving environment. ~ Yuval Noah Harari

Mistakes, on the other hand, result from incorrect choices. Rather than blundering into them while we are distracted, we usually make mistakes because of insufficient knowledge, lack of experience or training, inadequate information (or inability to interpret available information properly), or applying the wrong set of rules or algorithms to a decision ~ Robert Wachter