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2.1 深度思考（Deep Thinking）：复杂逻辑推理
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drop-oldest: Drops the oldest buffered data to make room. Useful for live feeds where stale data loses value.
Fintech, Plaid, Secondary Sales, Venture
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.