30 秒でわかる
In this September 2024 short, Matthew Berman describes OpenAI’s newly released o1 models and tests a coding prompt. He highlights their longer reasoning time and OpenAI’s research benchmark claims.
- 1Two o1 modelsBerman introduces o1-preview and o1-mini, associated with the previously anticipated Strawberry model.
- 2More time to thinkHe says the models are designed to spend more time reasoning and cites OpenAI’s comparison with PhD students on research tests.
- 3A game promptHe tries a Python Tetris prompt and notes that ChatGPT shows a summary of the thought process, rather than the raw reasoning.
ポイント
- OpenAI introduced o1-preview and o1-mini as models designed to spend more time reasoning.
- Berman cites an OpenAI claim comparing performance on selected research tests with PhD students.
- His Python game prompt shows a reasoning summary and a reported 94 seconds of thinking.
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Introducing and testing o1
Berman describes the new models and their reasoning approach. He then tries a Python game prompt and reacts to the result.
OpenAI’s long-awaited Strawberry model is here. There are two models, o1-preview and o1-mini. They are designed to spend more time thinking through a problem, and OpenAI says the model performs similarly to PhD students on some research tests.
I ask it to write a Tetris game in Python. ChatGPT shows a summary of its thought process, though not the raw reasoning, and reports thinking for 94 seconds. I try the result and react enthusiastically.
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