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.
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“This is very, very important. You don’t chase your dreams, you chase your talents. Everybody has dreams,” Witherspoon explained. “It doesn’t mean you’re gonna be that thing. You are supposed to do what you’re talented at.”
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