Quotes By Kevin Kelly

And they discovered something very interesting: when it comes to walking, most of the ant's thinking and decision-making is not in its brain at all. It's distributed. It's in its legs.

The way that organizations and organisms anticipate the future is by taking signals from the past, most the time.

An organization's reason for being, like that of any organism, is to help the parts that are in relationship to each other, to be able to deal with change in the environment.

But when you are embodied in a location, in a physical plant, in a set of people, and in a common history, that constrains your evolution and your ability to evolve in certain directions.

Changing things from the top down works when things are stable.

Each system is trying to anticipate change in the environment.

The most certain thing you can say about the environment tomorrow is that it probably is going to be just like today, for the most part.

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.

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.

The organization and the environment are in concert.

Organisms by their design are not made to adapt too far.

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.

It has become evident that the primary lesson of the study of evolution is that all evolution is coevolution: every organism is evolving in tandem with the organisms around it.

One of the functions of an organization, of any organism, is to anticipate the future, so that those relationships can persist over time.

An organization's intelligence is distributed to the point of being ubiquitous.

Complexity that works is built up out of modules that work perfectly, layered one over the other.

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.

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.

We are infected by our own misunderstanding of how our own minds work.

Much of outcomes research is a systematic attempt to exploit what is known and make it better.

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

Species go extinct because there are historical contraints built into a given body or a given design.

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.

Technological advances could allow us to see more clearly into our own lives.

An organization is a set of relationships that are persistent over time.

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.

Managing bottom-up change is its own art.

The way to build a complex system that works is to build it from very simple systems that work.

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.

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.