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@@ -37,7 +37,7 @@ Imported geometry from another version showed that the geometry kept a cohesive
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  When the geometry being left in a "frozen" state yeilds by far the worst outcomes - yet I froze everything including the geometric cross-attention and the subsystems while leaving the image-end of the cross-attention scrambled and learning, so more than likely it relearned incorrect math and got stuck at around 20%.
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- When the geometry is imported from the burned model and left learning, the outcome yielded some VERY interesting results. I'll need to rerun everything because NONE of the tensorboards got uploaded, which is annoying considering this was basically an afternoon - but it will be done.
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  ## Current Experiment: beatrix-dualstream-base
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  When the geometry being left in a "frozen" state yeilds by far the worst outcomes - yet I froze everything including the geometric cross-attention and the subsystems while leaving the image-end of the cross-attention scrambled and learning, so more than likely it relearned incorrect math and got stuck at around 20%.
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+ When the geometry is imported from the burned model and left learning with a scrambled image system randomized, the outcome yielded some VERY interesting results. I'll need to rerun everything because NONE of the tensorboards got uploaded, which is annoying considering this was basically an afternoon - but it will be done.
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  ## Current Experiment: beatrix-dualstream-base
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