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Thinking Before Thinking: Scaling Agentic Inference Through Meta-Reasoning

Meta's agentic meta-reasoning harness separates control from work: a controller runs Assess, Propose, Evaluate and Dispatch over a compact state and persistent artifact memory. On ProgramBench it reaches 71.5% with GPT-5.5, versus 58.0% for Codex.