Verified90% confidenceFactTime unknown
OpenAI's o1 series models internalize Chain of Thought as a core mechanism of model training, using reinforcement learning to teach the model to automatically unfold detailed reasoning processes.
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6/1/2026
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VerifiedIn the o1 series models, OpenAI internalized the chain-of-thought mechanism as a spontaneous model behavior and introduced the concept of Reasoning Tokens.83% similarVerifiedThe reasoning paradigm is essentially the application of reinforcement learning to the post-training stage of language models, allowing the model to autonomously explore reasoning paths and receive reward feedback based on answer correctness, first publicly demonstrated in the o1 series of models.83% similarVerifiedThe o-series models combine chain-of-thought reasoning with reinforcement learning, with the model generating internal thinking steps before producing an answer.82% similar
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