#79 Pattern Thinking, part 4

April 19th, 2009 • Recorded: November 29, 2008 • By: RCG
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RCG

Where do we find new patterns Mythology Spiral Dynamics Modeling (NLP) Artificial Intelligence Strict, probabilistic and Fuzzy logic Science patterns Techniques for shifting patterns Trying first in a safe context Dance, relationships, school, classes For future-oriented, look for the shortest path, make as many mistakes as possible. Learn from the shock. Patterns of Empires

#78 Pattern Thinking, part 3

April 12th, 2009 • Recorded: November 29, 2008 • By: RCG
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Somatic patterns Martial arts Dancing Biological patterns Linguistic patterns NLP: Meta-model, Milton model, Sleight of mouth patterns Priming Habits Relationship patterns Spotting patterns Asking for help and going for diversity Intent and attention

#77 Pattern Thinking, part 2

April 5th, 2009 • Recorded: November 29, 2008 • By: RCG
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High-level structure of patterns Context Sequence, Syntax Time scale Triggers Types of patterns – Unconscious signals Personal unconscious signals Cultural unconscious signals – Time and Space

#76 Pattern Thinking, part 1

March 29th, 2009 • Recorded: November 29, 2008 • By: RCG
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What are patterns Science: map of the world, theory Structure wih a specific rhythm and beat Mythology: Frank Herbert’s quote Usefulness: patterns are everywhere, which ones we care about? Repetition of a structure, sequence Patterns in Self Personal growth Where you are, where you are going, and how to get there Patterns in Relationships [...]

It’s The Mutants That Make It

January 1st, 2009 • By: Sergey Bookmark / share this post
Sergey

Having been a long-time scientist myself, I’ve observed time and time again one very persistent approach by most of my fellow scientists to innovation: take what’s been done, and improve it. Not a single project that I’ve participated in could skip this important step – look what’s already been done, study the literature, talk to those who walked there before, learn what their approaches do well and where they have weaknesses, and see if you can keep the "good stuff" and somehow avoid the pitfalls, generally by tweaking things here and there. Granted, most of the technology comes from such an approach of learning more and more about the specific methods, and polishing them to perfection, until hardly anything can be improved, at which point the science proudly declares it to be "the state of the art" and "the best it can ever be", mathematicians formulate theorems proving that nothing better can be done with this technology – no matter how hard you try, and the method enters the classical textbooks as "the way to go". Until someone invents a new technology that totally outperforms the "old and tried" ways, making everyone wonder what has just happened…

"You don’t replace the old.
You make it obsolete by introducing a superior methodology."
(Buckminster Fuller)

Remember the vacuum tubes? Neither do I. Perhaps, the only surviving vacuum tubes these days are the CRT TVs and computer monitors – but even those are becoming increasingly obsolete. With the invent of a transistor, electronics suddenly became cheaper, more energy-efficient, and much more compact. I remember playing with transistors as a kid – soldering simple radios and amplifiers for my home fun projects.