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1 " Imagine for a moment that we are nothing but the product of billions of years of molecules coming together and ratcheting up through natural selection, that we are composed only of highways of fluids and chemicals sliding along roadways within billions of dancing cells, that trillions of synaptic conversations hum in parallel, that this vast egglike fabric of micron-thin circuitry runs algorithms undreamt of in modern science, and that these neural programs give rise to our decision making, loves, desires, fears, and aspirations. To me, that understanding would be a numinous experience, better than anything ever proposed in anyone's holy text. "
― David Eagleman , Incognito: The Secret Lives of the Brain
2 " 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 algorithms – which are based on the most up-to-date studies and statistics – say that looks have only a 14 per cent impact on the long-term success of romantic relationships. So, even though I took Paul’s looks into account, I still tell you that you would be better off with John. "
― Yuval Noah Harari , Homo Deus: A History of Tomorrow
3 " The theory of phlogiston was an inversion of the true nature of combustion. Removing phlogiston was in reality adding oxygen, while adding phlogiston was actually removing oxygen. The theory was a total misrepresentation of reality. Phlogiston did not even exist, and yet its existence was firmly believed and the theory adhered to rigidly for nearly one hundred years throughout the eighteenth century. ... As experimentation continued the properties of phlogiston became more bizarre and contradictory. But instead of questioning the existence of this mysterious substance it was made to serve more comprehensive purposes. ... For the skeptic or indeed to anyone prepared to step out of the circle of Darwinian belief, it is not hard to find inversions of common sense in modern evolutionary thought which are strikingly reminiscent of the mental gymnastics of the phlogiston chemists or the medieval astronomers.To the skeptic, the proposition that the genetic programmes of higher organisms, consisting of something close to a thousand million bits of information, equivalent to the sequence of letters in a small library of one thousand volumes, containing in encoded form countless thousands of intricate algorithms controlling, specifying and ordering the growth and development of billions and billions of cells into the form of a complex organism, were composed by a purely random process is simply an affront to reason. But to the Darwinist the idea is accepted without a ripple of doubt - the paradigm takes precedence! "
― Michael Denton , Evolution: A Theory In Crisis
4 " In the old days, a liberal and a conservative (a “dove” and a “hawk,” say) got their data from one of three nightly news programs, a local paper, and a handful of national magazines, and were thus starting with the same basic facts (even if those facts were questionable, limited, or erroneous). Now each of us constructs a custom informational universe, wittingly (we choose to go to the sources that uphold our existing beliefs and thus flatter us) or unwittingly (our app algorithms do the driving for us). The data we get this way, pre-imprinted with spin and mythos, are intensely one-dimensional. "
― George Saunders
5 " Because life is robust,Because life is bigger than equations, stronger than money, stronger than guns and poison and bad zoning policy, stronger than capitalism,Because Mother Nature bats last, and Mother Ocean is strong, and we live inside our mothers forever, and Life is tenacious and you can never kill it, you can never buy it,So Life is going to dive down into your dark pools, Life is going to explode the enclosures and bring back the commons,O you dark pools of money and law and quantitudinal stupidity, you oversimple algorithms of greed, you desperate simpletons hoping for a story you can understand,Hoping for safety, hoping for cessation of uncertainty, hoping for ownership of volatility, O you poor fearful jerks,Life! Life! Life! Life is going to kick your ass. "
― Kim Stanley Robinson , New York 2140
6 " 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 "
― , Binding Chaos: Mass Collaboration on a Global Scale
7 " 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 , Version Control
8 " 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 , You Are Not a Gadget
9 " 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. "
10 " 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 , Life in Code: A Personal History of Technology
11 " 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 , Sympathy
12 " The algorithms in his hard drive scrambled and his coding short-circuited. Like she’d downloaded a virus right into his system, he got feverishly hot. "
― Kelly Moran , Counterbalance
13 " Human intellectual progress, such as it has been, results from our long struggle to see things 'as they are,' or in the most universally comprehensible way, and not as projections of our own emotions. Thunder is not a tantrum in the sky, disease is not a divine punishment, and not every death or accident results from witchcraft. What we call the Enlightenment and hold on to only tenuously, by our fingernails, is the slow-dawning understanding that the world is unfolding according to its own inner algorithms of cause and effect, probability and chance, without any regard for human feelings. "
― Barbara Ehrenreich , Bright-Sided: How the Relentless Promotion of Positive Thinking Has Undermined America
14 " The algorithms that orchestrate our ads are starting to orchestrate our lives. "
― Eli Pariser , The Filter Bubble: What the Internet is Hiding From You
15 " New technologies, be it the printed encyclopedia or Wikipedia, are not abstract machines that independently render us stupid or smart. As we saw with Enlightenment reading technologies, knowledge emerges out of complex processes of selection, distinction, and judgment—out of the irreducible interactions of humans and technology. We should resist the false promise that the empty box below the Google logo has come to represent—either unmediated access to pure knowledge or a life of distraction and shallow information. It is a ruse. Knowledge is hard won; it is crafted, created, and organized by humans and their technologies. Google’s search algorithms are only the most recent in a long history of technologies that humans have developed to organize, evaluate, and engage their world. "
16 " Fantasy sports went a long way toward developing the sabermetrics formulas used not only by oddsmakers but general managers in hiring players. So the amateur fantasists ended up creating some of the algorithms that Oakland GM Billy Bean's statisticians used to win games with less salary money available for star players. "
17 " Despite the metadata attached to each tweet, and despite trails of retweets and 'favorite' tweets, the Twitter corpus lacks the latticework of hyperlinks that makes Google's algorithms so potent. Twitter's famous hashtags - #sandyhook or #fiscalcliff or #girls - are the crudest sort of signposts, not much help for smart searching. "
18 " As a digital technology writer, I have had more than one former student and colleague tell me about digital switchers they have serviced through which calls and data are diverted to government servers or the big data algorithms they've written to be used on our e-mails by intelligence agencies. "
19 " The problem with Google is you have 360 degrees of omnidirectional information on a linear basis, but the algorithms for irony and ambiguity are not there. And those are the algorithms of wisdom. "
