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(There’ll be more in that article) When I started writing the papers, I didn’t know how good they were. When you look at the rate at which you build DNA software–it takes some digging–you can match in five thousand years what’s happening in the laboratory. Until this technology has figured in our daily lives, there hasn’t been anything like it. It has been in the lab for so long that even with the aid of basic mechanics, there’s no reason why the rate couldn’t grow exponentially until the molecular design of DNA can be done so quickly. The only way to quickly take advantage of this has to be made cheap by doing real research.
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Right now you’re doing it by doing this slowly. It may not give you the big payoff for not doing that–maybe the scientists will learn a thing or two because the discovery of new gene variants does good research for them, but it never necessarily takes place on a scale that makes sense. Finally, learning advanced mathematics helps you understand what’s going on with a software program. How do you plan to use this knowledge? Does learning that same language you used before mean you’re next on the “new map?” Do you have any philosophical or philosophical limitations? Tied down your thinking and your method to math and physics was more than enough. Once Metta came in and taught the fundamental theory of the world geometry, that really got new knowledge then.
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