Podcast Introduction Generator

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  • INPUT

    ntroducing OpenAI o1-preview A new series of reasoning models for solving hard problems. Available starting 9.12

    We've developed a new series of AI models designed to spend more time thinking before they respond. They can reason through complex tasks and solve harder problems than previous models in science, coding, and math.

    Today, we are releasing the first of this series in ChatGPT and our API. This is a preview and we expect regular updates and improvements. Alongside this release, we’re also including evaluations for the next update, currently in development.

    How it works We trained these models to spend more time thinking through problems before they respond, much like a person would. Through training, they learn to refine their thinking process, try different strategies, and recognize their mistakes.

    In our tests, the next model update performs similarly to PhD students on challenging benchmark tasks in physics, chemistry, and biology. We also found that it excels in math and coding. In a qualifying exam for the International Mathematics Olympiad (IMO), GPT-4o correctly solved only 13% of problems, while the reasoning model scored 83%. Their coding abilities were evaluated in contests and reached the 89th percentile in Codeforces competitions. You can read more about this in our technical research post.

    As an early model, it doesn't yet have many of the features that make ChatGPT useful, like browsing the web for information and uploading files and images. For many common cases GPT-4o will be more capable in the near term.

    But for complex reasoning tasks this is a significant advancement and represents a new level of AI capability. Given this, we are resetting the counter back to 1 and naming this series OpenAI o1.

    OUTPUT

    In this episode, we'll be discussing the exciting new developments from OpenAI with the introduction of their o1-preview series of AI models. These models are designed to tackle complex problems in science, coding, and math, with the ability to reason through tasks in a more thoughtful and strategic manner, much like a human would.

    The key highlights of this new series include:

    • The models are trained to spend more time thinking through problems before responding, allowing them to refine their thinking process and try different strategies.

    • In testing, the next model update has performed on par with PhD students on challenging benchmark tasks in physics, chemistry, and biology. It has also excelled in math and coding, outperforming even the International Mathematics Olympiad (IMO) qualifying exam.

    • While the current o1-preview model may not have all the features of ChatGPT, it represents a significant advancement in AI capability, particularly for complex reasoning tasks.

    • This series is being launched as a new chapter, with the model counter reset to 1 and named OpenAI o1.

    Join us as we dive deeper into the technical details and implications of this groundbreaking new AI technology from OpenAI.

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