OpenAI released its o3-mini model exactly one week ago, offering both free and paid users a more accurate, faster, and cheaper alternative to o1-mini. Now, OpenAI has updated the o3-mini to include an updated chain of thought.
OpenAI announced via an X post that free and paid users would now be able to view the reasoning process the o3-mini goes through before arriving at a conclusion. For example, in the post, a user asked, How is today not a Friday? and under the dropdown showing how long it took, the model delineated every step in its chain of thought that allowed it to land on its answer.
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Understanding how the model arrived at the conclusion is helpful because it not only helps users verify the accuracy of the conclusion, but it also teaches users how they could have arrived at that answer themselves. This is particularly useful for math or coding prompts, in which seeing the steps could allow you to recreate them the next time you encounter a similar problem.
Paid ChatGPT subscribers will also be able to see the updated chain of thought in o3-mini in the high reasoning effort. As the name implies, high reasoning just allows the model to apply more compute power for more advanced questions that require higher reasoning. In the X post announcing the feature, OpenAI throws out the term Chain of Thought (CoT), but what does it actually mean?
In the same way you would ask a person to explain their reasoning step by step, CoT prompting encourages an LLM to break down a complex problem into logical, smaller, and solvable steps. By sharing these reasoning steps with users, the model becomes more interpretable, allowing users to better steer its responses and identify errors in reasoning.
More on OpenAI’s Chain of Thought reasoning on ZDNET
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