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Introduction
INHERENT PROGRAMMING is a theorized, naturally-occurring means of translating a computer program or mathematical formula into a physical action. Presently, our technology tends to separate software from hardware, even when the two are serving joint parts in a greater purpose. As times evolve, we see that nanotechnology has inspired the creation of tiny physical devices built entirely of atoms. Silicon technology has approached a point where one bit of data will soon be represented by a single electron. Fractals have been developed that nearly represent real objects. When these three meet, they form the basis for inherent programming: where it is strictly within the physical nature of the elements to act as both program and function. A fractal built not of numbers themselves, but of dimensional values such as space, time energy and mass . ( You’ll read more about these dimensional systems called “STEM”s [space/time/energy/matter intersections] as you get deeper into the general theory). I propose that this concept is not new but rather quite passé. Older than DNA itself. We’ll start by comparing the language of genetics to things I’m sure we can all relate to. (As this site grows, I’ll add more definitions and such to make it easier to read. If you’re having trouble, e-mail me and let me know.) The four component molecular letters of the DNA are A, C, T and G. These form words, sentences and paragraphs or, if it were music; notes, chords, bars and songs and, if it were mathematics; the complex algebraic expressions, with variables, symbols and brackets, etc. Like a recipe, it seems, life at this level is nothing but ingredients and directions. Oddly, it seems relatively little scientific effort has focused on the internal structures within each molecular letter of the DNA. Perhaps the wealth of genetic understanding may be found within these tiny structures, rather than the whole genes they build. Just as we must use two crossing lines to form an “X”, so too must the molecular letters of DNA use simpler components. We’ll see if we can reveal the nature of the subcomponents in this little number I’d like to call…
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