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Kevin Kelly

The system continually has to make this choice: it can either continue to exploit a known process and make it more productive, or it can explore a new process at the cost of being less efficient.

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The nature of an innovation is that it will arise at a fringe where it can afford to become prevalent enough to establish its usefulness without being overwhelmed by the inertia of the orthodox system.

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The great advance of personal computers was not the computing power per se but the fact that it brought it right to your face, that you had control over it, that were confronted with it and could steer it.

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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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Managers tend to treat organizations as if they are infinitely plastic. They hire and fire, merge, downsize, terminate programs, add capacities. But there are limits to the shifts that organizations can absorb.

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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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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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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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But in fact, when you try to model that on a computer you find that because of the very structure of matter and of the chemical bonds that are the basis of every organism, evolution is not random at all. It will tend to follow certain paths.

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Basins of attraction, of self organization, show up as well in our complex social environment, in human organizations. Here again, while we cannot predict the result of any given input, we can say that it will likely fall within one of several areas.

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Kevin Kelly
Kevin Kelly