OpenAI Reasoning Model o1

OpenAI just released the o1 model that is focused on reasoning capabilities, generally substituting immediate next token generation with some reasoning steps introduced before some delayed token generation. This represents a significant 0-1 step-up in LLM capabilities, immediately surpassing beyond Gemini, Claude and other open-sourced models like Llama3 in mathematical and scientific reasoning. Most likely, this model does not represent a foundational model improvement, but rather entails introducing an orchestration layer informed by chain-of-thought reasoning, self-reflection and reinforcement learning. As opposed to zero-shot prompting using the base pretrained model, this means perhaps a factor more number of inference calls for each request. This has interesting implications on the output token cost structures of using AI models with reasoning.

Still, I cannot wait to try it out!

*Disclaimer: Opinions expressed are strictly my own, and do not represent any firm or institution.