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bettina3.0

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• Base X and Y as input vectors
• Lower counterbase (X_minus) representing the inverse axis / confrontation (X - 1)
• An integration axis that intersects X and Y forming a conceptual "triangle"
• An iterative refinement loop: as long as there are "questions" (significant differences) between the current and previous states, the response continues to be refined

How it works (conceptual mapping -> implementation):

• base_x, base_y: independent linear transformations (nn.Linear modules)
• counterbase: transformation applied to base_x shifted (x - delta) to generate the "confrontation" effect
• integration_axis: layer that integrates the transformed signals and produces an integrated state
• refinement loop: repeats: generate integrated output -> compare with previous output -> if the L2 difference is greater than a threshold (i.e., "There are still reasons why"), generates a new integration until stability or max_iters

You can adapt the sizes, activation functions, and stopping criteria to align with