Learning to reason with LLMs

OpenAI released o1-preview and reported 74% single-sample accuracy on AIME 2024, versus 12% for GPT-4o. The post says o1 reached the 89th percentile on Codeforces and exceeded human PhD experts on GPQA Diamond; it attributes this to large-scale RL and gains from both train-time and test-time compute. The key signal is scaling reasoning with compute, not just pretraining a larger base model.

Why it matters: This is a substantive OpenAI research release with product implications. HKR-H lands on the new reasoning line, HKR-K on the disclosed benchmark jumps and compute-scaling mechanism, and HKR-R on the direct impact to model strategy and inference economics; strong 90s, not 95+.