Straylad

“Increasing the variety of processors. Different processors may use diverse ways to calculate and analyse data. Using several kinds of processors in a single system may therefore increase its dynamism and creativity. A conversation between a peasant, a priest and a physician may produce novel ideas that would never emerge from a conversation between three hunter-gatherers.”
― Yuval Noah Harari, Homo Deus: A History of Tomorrow

“The full-on Townsend-Moon hooter. She only ever found this problematic in males who hadn’t become pop musicians; it seemed, then, in some weirdly inverted way, affected. It looked, to her, as though they’d grown large noses in order to look like rock musicians. More weirdly, perhaps, they all tended—certified accountants, radiologists, or whatever—to the flopping forelock that had traditionally gone with it, back in Muswell Hill or Denmark Street. This, she’d once reasoned, must be due in one of two ways to hairdressers. Either they saw the rock mega-nose and dressed the hair above it out of a call to historical tradition, or they weighed the issue in some instinctive, deeply hairdresserly way, arriving at that massive slash and heft of eye-obscuring forelock through some simple sense of balance.”
― William Gibson, Spook Country

“In themselves human experiences are not superior at all to the experiences of wolves or elephants. One bit of data is as good as another. However, humans can write poems and blogs about their experiences and post them online, thereby enriching the global data-processing system. That makes their bits count. Wolves cannot do this. Hence all the experiences of wolves – as deep and complex as they may be – are worthless. No wonder we are so busy converting our experiences into data. It isn’t a question of trendiness. It is a question of survival. We must prove to ourselves and to the system that we still have value. And value lies not in having experiences, but in turning these experiences into free-flowing data.”
― Yuval Noah Harari, Homo Deus: A History of Tomorrow

“Here are some practical Dataist guidelines for you: ‘You want to know who you really are?’ asks Dataism. ‘Then forget about mountains and museums. Have you had your DNA sequenced? No?! What are you waiting for? Go and do it today. And convince your grandparents, parents and siblings to have their DNA sequenced too – their data is very valuable for you. And have you heard about these wearable biometric devices that measure your blood pressure and heart rate twenty-four hours a day? Good – so buy one of those, put it on and connect it to your smartphone. And while you are shopping, buy a mobile camera and microphone, record everything you do, and put in online. And allow Google and Facebook to read all your emails, monitor all your chats and messages, and keep a record of all your Likes and clicks. If you do all that, then the great algorithms of the Internet-of-All-Things will tell you whom to marry, which career to pursue and whether to start a war.’ But where do these great algorithms come from? This is the mystery of Dataism. Just as according to Christianity we humans cannot understand God and His plan, so Dataism declares that the human brain cannot fathom the new master algorithms. At present, of course, the algorithms are mostly written by human hackers. Yet the really important algorithms – such as the Google search algorithm – are developed by huge teams. Each member understands just one part of the puzzle, and nobody really understands the algorithm as a whole. Moreover, with the rise of machine learning and artificial neural networks, more and more algorithms evolve independently, improving themselves and learning from their own mistakes. They analyse astronomical amounts of data that no human can possibly encompass, and learn to recognise patterns and adopt strategies that escape the human mind. The seed algorithm may initially be developed by humans, but as it grows it follows its own path, going where no human has gone before – and where no human can follow.”
― Yuval Noah Harari, Homo Deus: A History of Tomorrow