Primary evidence
- Learning to reason with LLMsS2 · Official institutional · Official announcement · 2024-09-12
The o1 series was trained to spend more inference-time computation on multi-step reasoning before producing an answer.
OpenAI reported o1 at 74% single-sample accuracy on AIME 2024 and 93% after reranking 1,000 samples, far above GPT-4o's 12% baseline.
The release helped establish test-time compute and long reasoning traces as central levers for frontier mathematical performance, providing context for later math-specific systems.
Significance rationale: OpenAI o1 was a major general-purpose reasoning-model release, but its place in the AI4Math Chronicle is contextual: AIME demonstrated capability rather than the release itself contributing a new mathematical result, proof, formalization, or math-specific system.
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