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Each system is trying to anticipate change in the environment.

Kevin Kelly

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Kevin Kelly
Age: 72
Born: 1952
Born: April 28
Contributing Editor
Editor
Journalist
Photographer
Writer
Pennsylvania
United States
Kevin kelly
Anticipate
Environment
System
Literature
Change
Trying

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Humans are the reproductive organs of technology. We multiply manufactured artifacts and spread ideas and memes.
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Well, here's what you can do, and that's about it.
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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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Evolution doesn't care about what makes sense it cares about what works
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A brain is a society of very small, simple modules that cannot be said to be thinking, that are not smart in themselves. But when you have a network of them together, out of that arises a kind of smartness.
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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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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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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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Since a relationship involves two members investing in it, its value increases twice as fast as one's investment.
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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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Technology is anything that was invented after you were born.
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Technology is anything that doesn't work yet.
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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.
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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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