“You cannot rely on your intelligence to move mountains; you need a great deal of Grace, but that requires faith.”
“Will finds the way but skill gets the credit.”
“Κέρδισα, μα θα μπορούσα να είχα χάσει. Οι άλλοι με θεώρησαν σοφό επειδή κέρδισα, δεν γνώριζαν όμως τις πολυάριθμες περιπτώσεις όπου υπήρξα ανόητος επειδή έχασα, και δεν ήξεραν ότι λίγες στιγμές πριν κερδίσω δεν ήμουν καν σίγουρος ότι δεν είχα χάσει... ..Κι έτσι για να μην φανώ αργότερα ανόητος, αρνούμαι να φανώ έξυπνος τώρα.”
“Getting something and having the wits to use it…those are two different things.”
“When I look around, I sometimes feel discouraged. Why do people make no more effort? They do nothing and yet they complain that it is unfair. I looked speechless at the ham. The way I look at it, people make an effort so that they are about to sign, but maybe I m wrong They do not exert themselves, they just toil in it, he said without further ado. It has nothing to do with the type of effort I m talking about. It s more active and focused.”
“To abolish hope is to bring the thought back to the body. And the body is doomed to perish.”
“If men create intelligent machines, or fantasize about them, it is either because they secretly despair of their own intelligence or because they are in danger of succumbing to the weight of a monstrous and useless intelligence which they seek to exorcize by transferring it to machines, where they can play with it and make fun of it. By entrusting this burdensome intelligence to machines we are released from any responsibility to knowledge, much as entrusting power to politicians allows us to disdain any aspiration of our own to power. If men dream of machines that are unique, that are endowed with genius, it is because they despair of their own uniqueness, or because they prefer to do without it - to enjoy it by proxy, so to speak, thanks to machines. What such machines offer is the spectacle of thought, and in manipulating them people devote themselves more to the spectacle of thought than to thought itself. It is not for nothing that they are described as virtual , for they put thought on hold indefinitely, tying its emergence to the achievement of a complete knowledge. The act of thinking itself is thus put off for ever. Indeed, the question of thought can no more be raised than the question of the freedom of future generations, who will pass through life as we travel through the air, strapped into their seats. These Men of Artificial Intelligence will traverse their own mental space bound hand and foot to their computers. Immobile in front of his computer, Virtual Man makes love via the screen and gives lessons by means of the teleconference. He is a physical - and no doubt also a mental cripple. That is the price he pays for being operational. Just as eyeglasses and contact lenses will arguably one day evolve into implanted prostheses for a species that has lost its sight, it is similarly to be feared that artificial intelligence and the hardware that supports it will become a mental prosthesis for a species without the capacity for thought. Artificial intelligence is devoid of intelligence because it is devoid of artifice.”
“I know you’re clever, but do you really think you’re going to outsmart the ocean?”
“Debates are just intelligent entertainment.”
“Yann LeCun s strategy provides a good example of a much more general notion: the exploitation of innate knowledge. Convolutional neural networks learn better and faster than other types of neural networks because they do not learn everything. They incorporate, in their very architecture, a strong hypothesis: what I learn in one place can be generalized everywhere else. The main problem with image recognition is invariance: I have to recognize an object, whatever its position and size, even if it moves to the right or left, farther or closer. It is a challenge, but it is also a very strong constraint: I can expect the very same clues to help me recognize a face anywhere in space. By replicating the same algorithm everywhere, convolutional networks effectively exploit this constraint: they integrate it into their very structure. Innately, prior to any learning, the system already “knows” this key property of the visual world. It does not learn invariance, but assumes it a priori and uses it to reduce the learning space-clever indeed!”
“Here the professor fell silent and looked again at the camera crew. They, too, were silent and stared at him in astonishment. In anguish, the professor threw his tiki torch to the ground, where it broke into several pieces and went out. “I have come too early, my time is not yet. They have not realized that intelligence is dead, and yet they have done it themselves.”
“Hemingway said that happiness in intelligent people was rare but shit even contentment amongst the mediocre is hard to fathom.”
“Carol was discovering that the one thing that can be more disconcerting than intelligent hatred is demanding love.”
“Intelligence is too complex and multifaceted a thing to reduce to any single dimension.”
“Twin studies of adult individuals have found a heritability of IQ between 57% and 73%[6] with the most recent studies showing heritability for IQ as high as 80%.[7] IQ goes from being weakly correlated with genetics, for children, to being strongly correlated with genetics for late teens and adults. The heritability of IQ increases with age and reaches an asymptote at 18–20 years of age and continues at that level well into adulthood. This phenomenon is known as the Wilson Effect”
“The measure of brilliance is in its utility.”
“Direct engagement, which can be harsh and emotionally draining, simply doesn t happen that much on the technical side of intelligence, and almost never in computing. There is a depersonalization of experience fostered by the distance of a screen. Peering at life through a window can ultimately abstract us from our actions and limit any meaningful confrontation with their consequences.”