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README.md
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@@ -77,6 +77,17 @@ I'll provide a full working series of prototypes for this stashed gem soon.
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## How many miniature AI are required?
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That depends how many are required. There could be hundreds, or even thousands. This is where the bulk of her learning will happen.
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## What about the scales and sizes?
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Invariant. There will be many interpretations of the same views, all learned in parallel. Many opinions fused together throughout the opinion structure. Many ideas all collaborating together.
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## How many miniature AI are required?
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That depends how many are required. There could be hundreds, or even thousands. This is where the bulk of her learning will happen.
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## What is the core?
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Experimental. Will be refactored into something useful if the original Beatrix concept does not pan out.
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Beatrix is a large magnetic resonance oscillation system that slowly modulates over time. The size varies based on the need, but the concept is straightforward.
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Beatrix's core maps negative space, the gaps between what is. You could call this the resonant echo response, which is measured over time.
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Essentially this makes her a system of entropic orbital regularization for the smaller models and a behavioral anchor to standard rotary mathematics.
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This updates indirectly and has it's own form of lightweight loss specific to resonance response to the model. At first this is very drastic, and later it slows down - behaving as an anchored augmentation utility.
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This core is how the model will learn to wormhole past the diffusion process entirely over time in theory, and if it works this model may be a 3 step flow matching diffusion model.
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## What about the scales and sizes?
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Invariant. There will be many interpretations of the same views, all learned in parallel. Many opinions fused together throughout the opinion structure. Many ideas all collaborating together.
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