Mariana Rojas > Mariana's Quotes

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  • #1
    William Gibson
    “The sky above the port was the color of television, tuned to a dead channel.”
    William Gibson, Neuromancer

  • #2
    William Gibson
    “Cyberspace. A consensual hallucination experienced daily by billions of legitimate operators, in every nation, by children being taught mathematical concepts... A graphic representation of data abstracted from banks of every computer in the human system. Unthinkable complexity. Lines of light ranged in the nonspace of the mind, clusters and constellations of data. Like city lights, receding...”
    William Gibson, Neuromancer

  • #3
    William Gibson
    “Time moves in one direction, memory another. We are that strange species that constructs artifacts intended to counter the natural flow of forgetting.”
    William Gibson, Distrust That Particular Flavor

  • #4
    William Gibson
    “I think I'd probably tell you that it's easier to desire and pursue the attention of tens of millions of total strangers than it is to accept the love and loyalty of the people closest to us.”
    William Gibson, Idoru

  • #5
    William Gibson
    “We see in order to move; we move in order to see.”
    William Gibson

  • #6
    William Gibson
    “All the speed he took, all the turns he'd taken and the corners he'd cut in Night City, and still he'd see the matrix in his sleep, bright lattices of logic unfolding across that colorless void...”
    William Gibson, Neuromancer

  • #7
    Friedrich Nietzsche
    “I'm not upset that you lied to me, I'm upset that from now on I can't believe you.”
    Friedrich Nietzsche

  • #8
    Friedrich Nietzsche
    “And those who were seen dancing were thought to be insane by those who could not hear the music.”
    Friedrich Nietzsche

  • #9
    Friedrich Nietzsche
    “Sometimes people don't want to hear the truth because they don't want their illusions destroyed.”
    Friedrich Nietzsche

  • #10
    Friedrich Nietzsche
    “You must have chaos within you to give birth to a dancing star.”
    Friedrich Nietzsche

  • #11
    Friedrich Nietzsche
    “The man of knowledge must be able not only to love his enemies but also to hate his friends.”
    Friedrich Nietzsche

  • #12
    Stephen W. Hawking
    “For millions of years, mankind lived just like the animals. Then something happened which unleashed the power of our imagination. We learned to talk and we learned to listen. Speech has allowed the communication of ideas, enabling human beings to work together to build the impossible. Mankind's greatest achievements have come about by talking, and its greatest failures by not talking. It doesn't have to be like this. Our greatest hopes could become reality in the future. With the technology at our disposal, the possibilities are unbounded. All we need to do is make sure we keep talking.”
    Stephen Hawking

  • #13
    Stephen W. Hawking
    “The victim should have the right to end his life, if he wants. But I think it would be a great mistake. However bad life may seem, there is always something you can do, and succeed at. While there's life, there is hope.”
    Stephen W. Hawking

  • #14
    Stephen W. Hawking
    “I think computer viruses should count as life ... I think it says something about human nature that the only form of life we have created so far is purely destructive. We've created life in our own image.”
    Stephen Hawking

  • #15
    Cathy O'Neil
    “Big Data processes codify the past. They do not invent the future. Doing that requires moral imagination, and that’s something only humans can provide. We have to explicitly embed better values into our algorithms, creating Big Data models that follow our ethical lead. Sometimes that will mean putting fairness ahead of profit.”
    Cathy O'Neil, Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy

  • #16
    Cathy O'Neil
    “Here we see that models, despite their reputation for impartiality, reflect goals and ideology. When I removed the possibility of eating Pop-Tarts at every meal, I was imposing my ideology on the meals model. It’s something we do without a second thought. Our own values and desires influence our choices, from the data we choose to collect to the questions we ask. Models are opinions embedded in mathematics.”
    Cathy O'Neil, Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy

  • #17
    Cathy O'Neil
    “Racism, at the individual level, can be seen as a predictive model whirring away in billions of human minds around the world. It is built from faulty, incomplete, or generalized data. Whether it comes from experience or hearsay, the data indicates that certain types of people have behaved badly. That generates a binary prediction that all people of that race will behave that same way. Needless to say, racists don’t spend a lot of time hunting down reliable data to train their twisted models. And once their model morphs into a belief, it becomes hardwired. It generates poisonous assumptions, yet rarely tests them, settling instead for data that seems to confirm and fortify them. Consequently, racism is the most slovenly of predictive models. It is powered by haphazard data gathering and spurious correlations, reinforced by institutional inequities, and polluted by confirmation bias.”
    Cathy O'Neil, Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy

  • #18
    Cathy O'Neil
    “However, when you create a model from proxies, it is far simpler for people to game it. This is because proxies are easier to manipulate than the complicated reality they represent.”
    Cathy O'Neil, Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy

  • #19
    Cathy O'Neil
    “Just imagine if police enforced their zero-tolerance strategy in finance. They would arrest people for even the slightest infraction, whether it was chiseling investors on 401ks, providing misleading guidance, or committing petty frauds. Perhaps SWAT teams would descend on Greenwich, Connecticut. They’d go undercover in the taverns around Chicago’s Mercantile Exchange.”
    Cathy O'Neil, Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy

  • #20
    Clarice Lispector
    “I want the following word: splendor, splendor is fruit in all its succulence, fruit without sadness. I want vast distances. My savage intuition of myself.”
    Clarice Lispector, The Stream of Life

  • #21
    Clarice Lispector
    “Who has not asked himself at some time or other: am I a monster or is this what it means to be a person?”
    Clarice Lispector, A Hora da Estrela

  • #22
    Clarice Lispector
    “I write and that way rid myself of me and then at last I can rest.”
    Clarice Lispector

  • #23
    Clarice Lispector
    “You don't understand music: you hear it. So hear me with your whole body.”
    Clarice Lispector, The Stream of Life

  • #24
    Clarice Lispector
    “It is because I dove into the abyss that I am beginning to love the abyss I am made of.”
    Clarice Lispector

  • #25
    Simone de Beauvoir
    “All oppression creates a state of war. And this is no exception.”
    Simone de Beauvoir, The Second Sex

  • #26
    Simone de Beauvoir
    “No one is more arrogant toward women, more aggressive or scornful, than the man who is anxious about his virility.”
    Simone de Beauvoir , The Second Sex

  • #27
    Simone de Beauvoir
    “Representation of the world, like the world itself, is the work of men; they describe it from their own point of view, which they confuse with absolute truth.”
    Simone de Beauvoir, The Second Sex

  • #28
    Simone de Beauvoir
    “If the feminine issue is so absurd, is because the male's arrogance made it "a discussion”
    Simone de Beauvoir, The Second Sex

  • #29
    Simone de Beauvoir
    “Women's mutual understanding comes from the fact that they identify themselves with each other; but for the same reason each is against the others.”
    Simone de Beauvoir, The Second Sex

  • #30
    Simone de Beauvoir
    “If they want to flirt or initiate a friendship, they should carefully avoid giving the impression they are taking the initiative; men do not like tomboys, nor bluestockings, nor thinking women; too much audacity, culture, intelligence, or character frightens them.

    In most novels, as George Eliot observes, it is the dumb, blond heroine who outshines the virile brunette; and in The Mill on the Floss, Maggie tries in vain to reverse the roles; in the end she dies and it is blond Lucy who marries Stephen. In The Last of the Mohicans, vapid Alice wins the hero’s heart and not valiant Cora; in Little Women kindly Jo is only a childhood friend for Laurie; he vows his love to curly-haired and insipid Amy.

    To be feminine is to show oneself as weak, futile, passive, and docile. The girl is supposed not only to primp and dress herself up but also to repress her spontaneity and substitute for it the grace and charm she has been taught by her elder sisters. Any self-assertion will take away from her femininity and her seductiveness.”
    Simone de Beauvoir, The Second Sex



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