The model must be autoregressive. It receives a token sequence as input and predicts the next token. Output digits are generated one at a time, with each new token fed back as input for predicting the next. The carry propagation must emerge from this autoregressive process — not from explicit state variables passed between steps in Python.
Would an AI model trained on such things be not just more authentically premodern, but more authentically aligned with implicit human values?
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// Second, we repeatedly call read and await on the returned
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// A minimal writer implementation — just an object with methods
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