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Each organism's environment, for the most part, consists of other organisms.

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
Part
Organism
Organisms
Consists
Environment

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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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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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We are infected by our own misunderstandin g of how our own minds work.
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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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Changing things from the top down works when things are stable.
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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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Technology is anything that was invented after you were born.
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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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When a system is in turbulence, the turbulence is not just out there in the environment, but is a part of the organization or organism that you are looking at.
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Willingness to learn is important, but willingness to act on what you learn is critical.
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The only organization capable of unprejudiced growth, or unguided learning, is a network. All othertopologies limit what can happen
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Technology is anything that doesn't work yet.
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In a broad systems sense, an organism's environment is indistinguishable from the organism itself.
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Any believable prediction will be wrong. Any correct prediction will be unbelievable.
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The organization and the environment are in concert.
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Softball isn't just a game it's away of life.
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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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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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Everything that we are making, we are making more and more complex.
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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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