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@@ -14,10 +14,11 @@ capacity that the two experts can enable simultaneously with the current build.
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  So in a sense, the experts will say what the settings are most likely going to be most optimized at, by making a quick soup.
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- This should provide the necessary yields that I require, assuming I pick experts with relationally similar math.
 
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- So... parameter narrowing soup for now, eventually the system should be able to directly self-attenuate the parameters for the best
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- suggested parameters at the get-go.
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  ## Flows, Routes, Patterns, Trajectories, Magnitudes, Etc
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  Everything mathematically will have a represented flow attenuation mechanism specifically aligned to the curation of that math.
 
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  So in a sense, the experts will say what the settings are most likely going to be most optimized at, by making a quick soup.
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+ This should provide the necessary yields that I require, assuming I pick experts with relationally similar math. So... parameter narrowing soup for now,
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+ eventually the system should be able to directly self-attenuate the parameters for the best suggested parameters at the get-go.
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+ The models themselves will never be trained by the experts, only the params selected by what is most likely. The models will never see an expert opinion directly,
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+ nor will they be given gradients from anything expert-related. Everything in a vacuum.
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  ## Flows, Routes, Patterns, Trajectories, Magnitudes, Etc
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  Everything mathematically will have a represented flow attenuation mechanism specifically aligned to the curation of that math.