Algorithms To Live By Book Quotes

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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 (Algorithms to Live By: The Computer Science of Human Decisions)
Not only has volume been ratcheted up but expectations have, too. Quiet success--painting a picture, writing a poem, writing an algorithm--is all well and good, but if you haven't become famous doing it, then did it really matter?
Sophia Dembling (The Introvert's Way: Living a Quiet Life in a Noisy World (Perigee Book))
The algorithm seemed to be really good at distinguishing the two rather similar canines; it turned out that it was simply labeling any picture with snow as containing a wolf. An example with more serious implications was described by Janelle Shane in her book You Look Like a Thing and I Love You: an algorithm that was shown pictures of healthy skin and of skin cancer. The algorithm figured out the pattern: if there was a ruler in the photograph, it was cancer.7 If we don’t know why the algorithm is doing what it’s doing, we’re trusting our lives to a ruler detector.
Tim Harford (The Data Detective: Ten Easy Rules to Make Sense of Statistics)
To see what happens in the real world when an information cascade takes over, and the bidders have almost nothing but one another’s behavior to estimate an item’s value, look no further than Peter A. Lawrence’s developmental biology text The Making of a Fly, which in April 2011 was selling for $23,698,655.93 (plus $3.99 shipping) on Amazon’s third-party marketplace. How and why had this—admittedly respected—book reached a sale price of more than $23 million? It turns out that two of the sellers were setting their prices algorithmically as constant fractions of each other: one was always setting it to 0.99830 times the competitor’s price, while the competitor was automatically setting their own price to 1.27059 times the other’s. Neither seller apparently thought to set any limit on the resulting numbers, and eventually the process spiraled totally out of control.
Brian Christian (Algorithms to Live By: The Computer Science of Human Decisions)
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 & 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
Brian Christian (Algorithms to Live By: The Computer Science of Human Decisions)
Sure, we can hear the reverberating echoes of the Big Bang. Yet that cosmic vibration tells us nothing about what was before the Big Bang, or what was before that, or how or why there was even a bang to be binged at all. This mostly wet ball full of ptarmigans, ponytails, and poverty is floating in space among a billion other balls, and there are galaxies swirling and there is a universe expanding, which itself may actually just be an undulating freckle on the cusp of something we can’t even conceive of, amid an endless soup of ever more unfathomables. And I find such a situation to be utterly, manifestly, psychedelically amazing—and far more spine-tinglingly awe-inspiring than any story I’ve ever read in the Bible, the Quran, the Vedas, the Upanishads, Dianetics, the Doctrine and Covenants, or the Tibetan Book of the Dead. So smell that satchel of tangerines and nimbly hammer a dulcimer or pluck a chicken and listen to your conscience or master a new algorithm or walk to work or hitch a ride. Because we’re here. And we will never, ever know why or exactly how this all comes about. That’s the situation. Deal with it. Accept it. Let the mystery be.
Phil Zuckerman (Living the Secular Life: New Answers to Old Questions)
overcome. Seth Godin calls these inevitable obstacles The Dip. In his brilliant little book of the same name, he describes the intricacies of knowing when to quit and when to stick—and why it’s so important to learn how to do this effectively. Seth gives a pertinent example of the entrepreneur-wannabe: Do you know an entrepreneur-wannabe who is on his sixth or twelfth new project? He jumps from one to another, and every time he hits an obstacle, he switches to a new, easier, better opportunity. And while he’s a seeker, he’s never going to get anywhere. He never gets anywhere because he’s always switching lines, never able to really run for it. While starting up is thrilling, it’s not until you get through the Dip that your efforts pay off. Countless entrepreneurs have perfected the starting part, but give up long before they finish paying their dues. The sad news is that when you start over, you get very little credit for how long you stood in line with your last great venture.[31] Quitting isn’t always bad, but it needs to be done for the right reasons, and never for the wrong ones. It’s never black and white, but it always comes back to passion. Read The Dip. It will help.
Jesse Tevelow (The Connection Algorithm: Take Risks, Defy the Status Quo, and Live Your Passions)
I will give technology three definitions that we will use throughout the book. The first and most basic one is that a technology is a means to fulfill a human purpose. For some technologies-oil refining-the purpose is explicit. For others- the computer-the purpose may be hazy, multiple, and changing. As a means, a technology may be a method or process or device: a particular speech recognition algorithm, or a filtration process in chemical engineering, or a diesel engine. it may be simple: a roller bearing. Or it may be complicated: a wavelength division multiplexer. It may be material: an electrical generator. Or it may be nonmaterial: a digital compression algorithm. Whichever it is, it is always a means to carry out a human purpose. The second definition I will allow is a plural one: technology as an assemblage of practices and components. This covers technologies such as electronics or biotechnology that are collections or toolboxes of individual technologies and practices. Strictly speaking, we should call these bodies of technology. But this plural usage is widespread, so I will allow it here. I will also allow a third meaning. This is technology as the entire collection of devices and engineering practices available to a culture. Here we are back to the Oxford's collection of mechanical arts, or as Webster's puts it, "The totality of the means employed by a people to provide itself with the objects of material culture." We use this collective meaning when we blame "technology" for speeding up our lives, or talk of "technology" as a hope for mankind. Sometimes this meaning shades off into technology as a collective activity, as in "technology is what Silicon Valley is all about." I will allow this too as a variant of technology's collective meaning. The technology thinker Kevin Kelly calls this totality the "technium," and I like this word. But in this book I prefer to simply use "technology" for this because that reflects common use. The reason we need three meanings is that each points to technology in a different sense, a different category, from the others. Each category comes into being differently and evolves differently. A technology-singular-the steam engine-originates as a new concept and develops by modifying its internal parts. A technology-plural-electronics-comes into being by building around certain phenomena and components and develops by changing its parts and practices. And technology-general, the whole collection of all technologies that have ever existed past and present, originates from the use of natural phenomena and builds up organically with new elements forming by combination from old ones.
W. Brian Arthur (The Nature of Technology: What It Is and How It Evolves)
As strangeness becomes the new normal, your past experiences, as well as the past experiences of the whole of humanity, will become less reliable guides. Humans as individuals and humankind as a whole will increasingly have to deal with things nobody ever encountered before, such as super-intelligent machines, engineered bodies, algorithms that can manipulate your emotions with uncanny precision, rapid man-made climate cataclysms and the need to change your profession every decade. What is the right thing to do when confronting a completely unprecedented situation? How should you act when you are flooded by enormous amounts of information and there is absolutely no way you can absorb and analyse it all? How to live in a world where profound uncertainty is not a bug, but a feature? To survive and flourish in such a world, you will need a lot of mental flexibility and great reserves of emotional balance. You will have to repeatedly let go of some of what you know best, and feel at home with the unknown. Unfortunately, teaching kids to embrace the unknown and to keep their mental balance is far more difficult than teaching them an equation in physics or the causes of the First World War. You cannot learn resilience by reading a book or listening to a lecture. The teachers themselves usually lack the mental flexibility that the twenty-first century demands, for they themselves are the product of the old educational system. The Industrial Revolution has bequeathed us the production-line theory of education. In the middle of town there is a large concrete building divided into many identical rooms, each room equipped with rows of desks and chairs. At the sound of a bell, you go to one of these rooms together with thirty other kids who were all born the same year as you. Every hour some grown-up walks in, and starts talking. They are all paid to do so by the government. One of them tells you about the shape of the earth, another tells you about the human past, and a third tells you about the human body. It is easy to laugh at this model, and almost everybody agrees that no matter its past achievements, it is now bankrupt. But so far we haven’t created a viable alternative. Certainly not a scaleable alternative that can be implemented in rural Mexico rather than just in upmarket California suburbs.
Yuval Noah Harari (21 Lessons for the 21st Century)
We are living through a movement from an organic, industrial society to a polymorphous, information system,” wrote Donna Haraway, “from all work to all play, a deadly game.”10 With the growing significance of immaterial labor, and the concomitant increase in cultivation and exploitation of play—creativity, innovation, the new, the singular, flexibility, the supplement—as a productive force, play will become more and more linked to broad social structures of control. Today we are no doubt witnessing the end of play as politically progressive, or even politically neutral.)
Alexander R. Galloway (Gaming: Essays On Algorithmic Culture (Electronic Mediations Book 18))
Our senses seem to deceive us into thinking that we live in the material world. Our world is not based on objectively existing particles of matter but it is based on waves of potentiality, that is pure information. Our world is informational. Think of it as an observer-centric virtual reality. Your consciousness is, rather, an optimized meta-algorithmic data stream, a sequence of conscious instants.
Alex M. Vikoulov (The Origins of Us: Evolutionary Emergence and the Omega Point Cosmology (The Science and Philosophy of Information Book 1))
Being positive is the only practical way to live." (from my father Stephen)
Zachary S. Brooks, PhD (Discovering Your Human Algorithm: How to Live with Meaning and Purpose (How to Algorithm Book 1))
Paul Graham is the founder of Y Combinator, one of the most successful and sought-after startup accelerators in the tech world. Graham has invested in several blockbuster companies, including AirBNB and Dropbox, both of which are valued in the billions at the time of this writing. After investing in hundreds of companies and considering thousands more, Paul Graham has perfected the art of identifying promising startups. His methods may surprise you. In an interview, Graham highlighted two key strategies: Favoring people over product Favoring determination over intelligence What’s most essential for a successful startup? Graham: The founders. We’ve learned in the six years of doing Y Combinator to look at the founders—not the business ideas—because the earlier you invest, the more you’re investing in the people. When Bill Gates was starting Microsoft, the idea that he had then involved a small-time microcomputer called the Altair. That didn’t seem very promising, so you had to see that this 19-year-old kid was going places. What do you look for? Graham: Determination. When we started, we thought we were looking for smart people, but it turned out that intelligence was not as important as we expected. If you imagine someone with 100 percent determination and 100 percent intelligence, you can discard a lot of intelligence before they stop succeeding. But if you start discarding determination, you very quickly get an ineffectual and perpetual grad student.[74] Your intelligence doesn’t matter as much as you think it does. If you’re reading this book, you’re probably more than capable. Your ideas don’t matter much, either. What matters most—by far, is your perseverance. Stop worrying about your mental aptitude. Stop worrying about the viability of the project you’re considering. Stop worrying about all the other big decisions keeping you up at night. Instead, focus on relentlessly grinding away at your passion until something incredible happens. Your potential output is governed by your mindset, not your mind itself.
Jesse Tevelow (The Connection Algorithm: Take Risks, Defy the Status Quo, and Live Your Passions)
look no further than Peter A. Lawrence’s developmental biology text The Making of a Fly, which in April 2011 was selling for $23,698,655.93 (plus $3.99 shipping) on Amazon’s third-party marketplace. How and why had this—admittedly respected—book reached a sale price of more than $23 million? It turns out that two of the sellers were setting their prices algorithmically as constant fractions of each other: one was always setting it to 0.99830 times the competitor’s price, while the competitor was automatically setting their own price to 1.27059 times the other’s. Neither seller apparently thought to set any limit on the resulting numbers, and eventually the process spiraled totally out of control. It’s possible that a similar mechanism was in play during the enigmatic and controversial stock market “flash crash” of May 6, 2010, when, in a matter of minutes, the price of several seemingly random companies in the S&P 500 rose to more than $100,000 a share, while others dropped precipitously—sometimes to $0.01 a share. Almost $1 trillion of value instantaneously went up in smoke.
Brian Christian (Algorithms To Live By: The Computer Science of Human Decisions)
For pretty much my whole life, I thought I was living to better myself, to create the best life possible. About a year ago, that mindset changed. I now believe I’m here to create the best world possible. This shift from me to everyone is what altered my entire understanding of passion, and my purpose. Ben Horowitz is one of my digital mentors (meaning I follow his blog). I find him very insightful. Whenever he says (or writes about) anything, I inevitably start nodding my head until my neck is sore. Here’s an excerpt from the commencement speech he gave at Columbia, his alma mater: “Following your passion is a very me centered view of the world, and as you go through life, what you’ll find is that what you take out of the world over time—be it…money, cars, stuff, accolades—is much less important than what you put into the world. And so my recommendation would be to follow your contribution. Find the thing that you’re great at, put that into the world, contribute to others, help the world be better. That is the thing to follow." Most of the time, if you follow your contribution, it’s either already a passion, or likely to become one. Doing something you’re good at is intoxicating, as is contributing to the world. Writing and launching The Connection Algorithm was a full year of hard work. It was the result of countless hours of reflection, deeply philosophical thinking, and brutal honesty. Throughout the entire process, I felt driven, passionate, and motivated. At first, I thought this was because I was doing it on my own. But I’ve come to realize it was something else—something far more profound. Shortly after the book was released, I began receiving emails from people who had read the book and been deeply impacted by it. A highschooler in Miami. An entrepreneur in Amsterdam. A small business owner in the midwest. People were also leaving reviews on Amazon—people I didn’t know, saying the book helped them live a better life. And on my Kindle, I could see passages that people were highlighting. People weren’t just reading my book, they were taking notes on useful things to remember. The craft of writing has been unbelievably fulfilling for me. And so I’m continuing the pursuit. My motivation is no longer to make a buck, or “win at life.” Rather, I’m working to improve the world. I think of myself as an inventor, creating a new piece of art for the world to discover. When you make the world better, you get rewarded. So find your craft, and then determine the best contribution you can make with it.
Jesse Tevelow (Hustle: The Life Changing Effects of Constant Motion)
If you’re not sure where your passion lies, ask yourself what you end up doing when you have nothing to do. Where does your mind go? What websites do you visit? Which articles and books do you read? What television shows do you watch? Which activities naturally draw your attention? Your passion is right in front of you: it’s how you spend your idle time. People say you shouldn’t make your passion your work. Bullshit. If you want to avoid ZombieLand, you must make your passion your work.[18]
Jesse Tevelow (The Connection Algorithm: Take Risks, Defy the Status Quo, and Live Your Passions)
Many new jobs are likely to appear in the 21st century. The crucial problem will be creating new jobs that humans can perform better than algorithms. The tech bonanza will probably make it feasible to feed and support the useless masses effortlessly. But what will keep them all occupied so they don’t go crazy? One solution might be drugs and computer games, or 3D virtual-reality worlds. Some experts warn that the AI might just decide to exterminate humankind to avoid a revolt. Of course, we don’t really know what the human mind might come up with in the future. And those algorithms might end up saving our lives, too.
GBF Summary (Summary: Homo Deus by Yuval Noah Harari (Great Books Fast))
In the physical world, you can randomize your vegetables by joining a Community-Supported Agriculture farm, which will deliver a box of produce to you every week. As we saw earlier, a CSA subscription does potentially pose a scheduling problem, but being sent fruits and vegetables you wouldn’t normally buy is a great way to get knocked out of a local maximum in your recipe rotation. Likewise, book-, wine-, and chocolate-of-the-month clubs are a way to get exposed to intellectual, oenophilic, and gustatory possibilities that you might never have encountered otherwise.
Brian Christian (Algorithms to Live By: The Computer Science of Human Decisions)
But we must also think seriously about addressing the concerns scientifically—about what it might mean to encode ethical principles directly into the design of the algorithms that are increasingly woven into our daily lives. This book is about the emerging science of ethical algorithm design, which tries to do exactly that.
Michael Kearns (The Ethical Algorithm: The Science of Socially Aware Algorithm Design)
There is discrimination, and the opportunities are not equal to everyone. Most countries are blocked from using several crucial features on Google, Amazon, Shopify, AliExpress, and many more platforms that the "internet millionaires" use to get all of their wealth. They are not smarter than you! They simply have access to markets that are blocked to you! When you try to compete inside their markets, the domain owners alter the algorithms to favor people in that geolocation and put them and their products in front of your. I have been stopped from uploading books for no other reason than being in east Europe. People don't believe these stories are true because they don't want to believe they are living in such a world. It's like the story of the Native Americans, who were offered blankets contaminated with diseases to kill them. Now you are being offered a blanket of illusions that gives you lies. And when you say the truth, they call it a conspiracy and hate speech.
Dan Desmarques
So let me say what already should be obvious: 1,000 Books to Read Before You Die is neither comprehensive nor authoritative, even if a good number of the titles assembled here would be on most lists of essential reading. It is meant to be an invitation to a conversation—even a merry argument—about the books and authors that are missing as well as the books and authors included, because the question of what to read next is the best prelude to even more important ones, like who to be, and how to live. Such faith in reading’s power, and the learning and imagination it nourishes, is something I’ve been lucky enough to take for granted as both fact and freedom; it’s something I fear may be forgotten in the great amnesia of our in-the-moment newsfeeds and algorithmically defined identities, which hide from our view the complexity of feelings and ideas that books demand we quietly, and determinedly, engage. To get lost in a story, or even a study, is inherently to acknowledge the voice of another, to broaden one’s perspective beyond the confines of one’s own understanding. A good book is the opposite of a selfie; the right book at the right time can expand our lives in the way love does, making us more thoughtful, more generous, more brave, more alert to the world’s wonders and more pained by its inequities, more wise, more kind. In the metaphorical bookshop you are about to enter, I hope you’ll discover a few to add to those you already cherish. Happy reading.
James Mustich (1,000 Books to Read Before You Die: A Life-Changing List)
I had reached a juncture in my reading life that is familiar to those who have been there: in the allotted time left to me on earth, should I read more and more new books, or should I cease with that vain consumption—vain because it is endless—and begin to reread those books that had given me the intensest pleasure in my past. —LYDIA DAVIS
Brian Christian (Algorithms to Live By: The Computer Science of Human Decisions)
The fact of zero He added nonstop: Did you know that zero was not used throughout human history! Until 781 A.D, when it was first embodied and used in arithmetic equations by the Arab scholar Al-Khwarizmi, the founder of algebra. Algorithms took their name from him, and they are algorithmic arithmetic equations that you have to follow as they are and you will inevitably get the result, the inevitable result. And before that, across tens and perhaps hundreds of thousands of years, humans refused to deal with zero. While the first reference to it was in the Sumerian civilization, where inscriptions were found three thousand years ago in Iraq, in which the Sumerians indicated the existence of something before the one, they refused to deal with it, define it and give it any value or effect, they refused to consider it a number. All these civilizations, some of which we are still unable to decipher many of their codes, such as the Pharaonic civilization that refused to deal with zero! We see them as smart enough to build the pyramids with their miraculous geometry and to calculate the orbits of stars and planets with extreme accuracy, but they are very stupid for not defining zero in a way that they can deal with, and use it in arithmetic operations, how strange this really is! But in fact, they did not ignore it, but gave it its true value, and refused to build their civilizations on an unknown and unknown illusion, and on a wrong arithmetical frame of reference. Throughout their history, humans have looked at zero as the unknown, they refused to define it and include it in their calculations and equations, not because it has no effect, but because its true effect is unknown, and remaining unknown is better than giving it a false effect. Like the wrong frame of reference, if you rely on it, you will inevitably get a wrong result, and you will fall into the inevitability of error, and if you ignore it, your chance of getting it right remains. Throughout their history, humans have preferred to ignore zero, not knowing its true impact, while we simply decided to deal with it, and even rely on it. Today we build all our ideas, our civilization, our software, mathematics, physics, everything, on the basis that 1 + 0 equals one, because we need to find the effect of zero so that our equations succeed, and our lives succeed with, but what if 1 + 0 equals infinity?! Why did we ignore the zero in summation, and did not ignore it in multiplication?! 1×0 equals zero, why not one? What is the reason? He answered himself: There is no inevitable reason, we are not forced. Humans have lived throughout their ages without zero, and it did not mean anything to them. Even when we were unable to devise any result that fits our theorems for the quotient of one by zero, then we admitted and said unknown, and ignored it, but we ignored the logic that a thousand pieces of evidence may not prove me right, and one proof that proves me wrong. Not doing our math tables in the case of division, blowing them up completely, and with that, we decided to go ahead and built everything on that foundation. We have separated the arithmetic tables in detail at our will, to fit our calculations, and somehow separate the whole universe around us to fit these tables, despite their obvious flaws. And if we decide that the result of one multiplied by zero is one instead of zero, and we reconstruct the whole world on this basis, what will happen? He answered himself: Nothing, we will also succeed, the world, our software, our thoughts, our dealings, and everything around us will be reset according to the new arithmetic tables. After a few hundred years, humans will no longer be able to understand that one multiplied by zero equals zero, but that it must be one because everything is built on this basis.
Ahmad I. AlKhalel (Zero Moment: Do not be afraid, this is only a passing novel and will end (Son of Chaos Book 1))
But while powerful businesses, financial institutions, and government agencies hide their actions behind nondisclosure agreements, “proprietary methods,” and gag rules, our own lives are increasingly open books.
Frank Pasquale (The Black Box Society: The Secret Algorithms That Control Money and Information)
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 & 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
Brian Christian (Algorithms to Live By: The Computer Science of Human Decisions)
The Connection Algorithm is the great idea that keeps you up at night. It’s the hobby you can’t ignore. It’s the conference you’ve always wanted to attend. It’s the blog post that changed your life. It’s the investor who funded your project. It’s curiosity, courage, failure, and success. In a word, the Connection Algorithm is a mindset, and this book will teach you how to harness it and use it to your advantage. If you build this mindset into your life, it will accelerate your personal growth and naturally lead you to forge relationships with highly connected, successful people. It will also open your eyes to a new lifestyle, freeing you from the shackles of the 9-5 desk job. If this sounds too good to be true, it should. The doubt of the crowd affords opportunity to the few, which is precisely why the Connection Algorithm works.
Jesse Tevelow (The Connection Algorithm: Take Risks, Defy the Status Quo, and Live Your Passions)
The word “algorithm” comes from the name of Persian mathematician al-Khwārizmī, author of a ninth-century book of techniques for doing mathematics by hand. (His book was called al-Jabr wa’l-Muqābala—and the “al-jabr” of the title in turn provides the source of our word “algebra.”) The earliest known mathematical algorithms, however, predate even al-Khwārizmī’s work: a four-thousand-year-old Sumerian clay tablet found near Baghdad describes a scheme for long division.
Brian Christian (Algorithms To Live By: The Computer Science of Human Decisions)
This is completely wrong, Manson argues, because happiness is a fleeting state. Once we solve our momentary happiness algorithm, a new algorithm will inevitably appear, whispering to us that yeah, X is okay, but if we could just achieve something even better, then we’d really have it made. Everything is relative.
Worth Books (Summary and Analysis of The Subtle Art of Not Giving a F*ck: A Counterintuitive Approach to Living a Good Life: Based on the Book by Mark Manson (Smart Summaries))
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Jennifer Agotti (How to Catch a Cheater Fast: Quickly Discover Signs of Cheating Using Easy Spy Tactics (How to Catch a Cheating Spouse Book 1))