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Discover OpenAI o1: Artificial Intelligence that Reasons

Openai o1 home page.
OpenAI, a pioneer in artificial intelligence, has announced a significant update to its language models (LLMs), with the launch of a new AI series called OpenAI o1. This update represents a major step forward: models are now able to “reason,” that is, follow deeper and more strategic chains of thought to solve complex problems. This development has the potential to transform the way we use AI in a variety of areas, including science, mathematics, coding, and more.

What's new?

The main innovation of this update is the ability of the models to reason before generating an answer. Until now, LLMs, such as GPT-4, were extremely good at recognizing patterns and providing answers based on data they had already seen, but struggled with more complex problems, such as tasks that required multiple steps of thinking or deep reasoning. With the series o1, OpenAI introduced a model that simulates a more deliberate form of reasoning, allowing the system to break down difficult problems into smaller parts, refine its strategies, and even recognize and correct its own mistakes.

Impacts on solving complex problems

These improvements have already been tested in areas such as physics, chemistry and biology. In benchmark tests, the new version of the models achieved impressive performance, solving up to 83% of the questions in a qualifying test for the International Mathematical Olympiad, compared to 13% of correct answers for the GPT-4 original. In addition, the model also demonstrated advanced skills in coding competitions, exceeding expectations by reaching the 89th percentile on the Codeforces platform.

Process supervision

Another innovative component is the process-based training method. Instead of just evaluating the outcome of a response, the OpenAI trains its models by rewarding each step of the reasoning process. This method, in addition to generating better results in terms of accuracy, also helps to mitigate the well-known AI "delusions" (or hallucinations), where the model generates plausible but incorrect information. Process supervision ensures that the AI ​​follows a line of thought aligned with human patterns and promotes greater transparency in how reasoning is formed​(

Practical applications

This new reasoning capability opens the door to a range of practical applications. For example, in healthcare, researchers can use these models to annotate complex cell sequencing data. In physics, they can help generate complex mathematical formulas for quantum optics research. Developers can also benefit from creating multi-step workflows and debugging complex code more easily.

Safer and more aligned models

With great power comes great responsibility, and OpenAI did not ignore this. The new o1 models have been trained to follow stricter security rules, helping to avoid unexpected behaviors, such as inappropriate responses or the famous "jailbreaking" (when users try to bypass security restrictions). In tests, the o1 version was able to follow security guidelines much more effectively than its predecessors​(

The Future of OpenAI

Although this is just a preview, the series OpenAI o1 is already available for ChatGPT Plus users and in API versions, with plans to expand its functionality to include features like web browsing and file uploads.
OpenAI also intends to continue developing improvements to its GPT models and in the o1 series, ensuring that AI becomes increasingly efficient and useful for all types of users.

Conclusion

OpenAI’s latest update marks a new era for artificial intelligence. These advances are beneficial to a variety of fields, enabling AI to not only recognize patterns but also think like humans when it comes to complex tasks. The combination of increased accuracy, reliability, and reasoning capabilities positions OpenAI as a leader in developing AI-powered solutions for the challenges of the future.
Artificial Intelligence