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.
Again, the answer to this question varies from company to company. And again, testing is the way to find out what works best. Typically, weekends and mornings seem to be times when multiple emails are opened, but since your audience may have different habits, it's best to experiment and then use your data to decide.
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A Trump-friendly CNN?
Scan — Discovers all JSONL session files under ~/.claude/projects/ and parses them in parallel using a thread pool. A fast-reject byte check skips progress and history-snapshot lines (~77% of all lines) before touching the JSON parser.