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We tend to think of the mind of an organization residing in the CEO and the organization's top managers, perhaps with the help of outside consultants that they call in. But that is not really how an organization thinks.
Kevin Kelly
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Kevin Kelly
Age: 72
Born: 1952
Born: April 28
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Pennsylvania
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Kevin kelly
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It's more along the lines of raising a child: we train the system to a certain range of behaviors that we find most useful. But then we let it go, because we don't want to have to be babysitting it the whole time.
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This is the culmination of a lot of people's vision. I think this is just another step towards making Central Michigan football among the elite programs in the Mid-American Conference.
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Technology is all the accumulated usefulness that our minds invent.
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Technology is anything that doesn't work yet.
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The way that organizations and organisms anticipate the future is by taking signals from the past, most the time.
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Each organism's environment, for the most part, consists of other organisms.
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The young are always coming up with the good ideas it's because they waste time. They follow their passion and do something, not looking for a payoff, just doing what's interesting.
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But in a turbulent environment the change is so widespread that it just routes around any kind of central authority. So it is best to manage the bottom-up change rather than try to institute it from the top down.
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Organizations get invested into a particular product. And sometimes the best thing is to stop making that product, even though it's profitable, because it has optimized at a local peak.
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The way to build a complex system that works is to build it from very simple systems that work.
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Any believable prediction will be wrong. Any correct prediction will be unbelievable.
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What technology is really about is better ways to evolve. That is what we call an 'infinite game.' ... A finite game is played to win, and an infinite game is played to keep playing.
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Changing things from the top down works when things are stable.
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The current understanding was that it was impossible to predict how something would evolve because it was a very turbulent environment full of things interacting with each other.
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Nobody is as smart as everybody.
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The most interesting thing about change in the environment is that for the most part the environment isn't changing.
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This is actually a very important principle that science is learning about large systems like evolution and that futurists are learning about anticipating human society: just because a future scenario is plausible doesn't mean we can get there from here.
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Since a relationship involves two members investing in it, its value increases twice as fast as one's investment.
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Extrapolated, technology wants what life wants: Increasing efficiency Increasing opportunity Increasing emergence Increasing complexity Increasing diversity Increasing specialization Increasing ubiquity Increasing freedom Increasing mutualism Increasing beauty Increasing sentience Increasing structure Increasing evolvability
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