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#reasoning

Deliberate multi-step inference (CoT → o1-style).

4 chapters, oldest era first: one idea traced across the books.

  1. The Language Machines 2022–2023 Ch. 19: Prompting Becomes Reasoning Chain-of-thought, self-consistency, and tree search over thoughts.
  2. The Language Machines 2022–2026 Ch. 20: Reasoning Models STaR, process rewards, o1, RLVR, and DeepSeek-R1 — test-time compute as the new scaling axis.
  3. The Language Machines 2022–2026 Ch. 21: Agents The ReAct loop, tool use, computer use, SWE-bench, and MCP — from chat to work.
  4. The Engine Room 2024–2026 Ch. 19: The Economics of Test-Time Compute Inference scaling as the new capex: train once versus think longer, and the batch economics of reasoning.