OpenAI o3 combines multi-step reasoning with the ability to use various tools while completing tasks.

OpenAI o3 has automated three to four steps of a normally lengthy workflow, generating a report that would typically take hours to complete.

You can see the chain of thoughts summarizing OpenAI o3's actions at the bottom of the interface as it processes the request, and in just about a minute, we've analyzed CSV files, flagged 20 lines exceeding 7%, and gathered information from citable sources like KPMG.

OpenAI plans to introduce exciting updates for o1, including support for additional tools like code interpreters and browsing, longer context windows, and eventually multimodality.

OpenAI's model o1 is trained using reinforcement learning, allowing it to learn through trial and error, using rewards and punishments to guide its behavior.

OpenAI trained o1 with large-scale reinforcement learning, enabling it to generate synthetic chains of thought that mimic human reasoning.

OpenAI's approach to implementing chain of thought reasoning in o1 remains largely undisclosed, but it likely involves advanced prompt engineering techniques.

Many users have reported that the latest AI model, Operator with o3, feels very much like AGI due to its improved capabilities in using a computer effectively.

OpenAI's researchers believe that o1 represents a shift from models that memorize answers to those that memorize reasoning processes, although it still requires improvement in certain areas.