Cycle Log 12
Mirrors.
While the state I live in currently falls apart and comes back together, my code has also fallen apart and come back together. I realized that performing an OCR extraction of my iWT difference grid analysis was essentially producing lots of words—almost as many words as are in my dictionary—which confirms two things to me:
Pictures have a huge ability to encode textual data.
If I'm already pulling more than 8,000 legitimate words from a single picture and still finding the necessity to cosmic score for ordering, why then do I even need to go through the process of attempting to extract a signal from random noise, when I could just use a cryptographic random function and a global 65,000-entry structured binary choosing file (which I've discussed previously) to simply score every single word in the dictionary—and then only put the most relevant, highest-scoring cosmic words on top?
It turns out that this implementation is quite fast. We can get cycles as low as about 2 seconds, and the clarity of words—meaning the clarity of messages—is still there; it's even improved.
So what does this really mean?
It's actually much easier to create a ghost box or a quantum communicator than I originally thought. All you need is a dictionary file and some kind of scoring process that uses cryptographic random, or a higher random generator like quantum random, to select the words from the dictionary. It's really that easy.
For brevity, I'll just re-explain how I am utilizing my global binary choosing file. For each word in the dictionary—and there are over 9,000 of them—we select, in parallel, using cryptographic random, 100 different indices from 0 to 64,999 for each word. Then we sum the values at those indices and apply that cosmic score (out of 100) to that word. Then we display it in the display portion in order of highest cosmic word to lowest cosmic word.
That's it. That's the key. It's really no harder than that. All that was really required was a structured binary choosing file for the cryptographic random to impress itself upon—nothing more. I don't know if I should be angry that I didn't think of it sooner, or astounded that it's this easy to actually pull information from random noise and have it contextually make sense and be thematic.
Needless to say, I'll be working on the new version of the app tonight, putting some lipstick on it to make it pretty. I might even release Virtua-X so that people can see the other implementation of what I was working on—but it's really just a gussied-up version of the main GUTS protocol, which is simply using a cosmic scoring function with a 65,000-entry structured binary choosing file (111110000011111...0000011111...) applied to a dictionary.
🤯
The more I experiment, the more I realize that all of the answers were right under our noses the entire time.
