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OpenAI brings an AI Agent named Operator; Here's what we know so far

OpenAI has introduced a new AI agent named Operator who can be used to perform most of the tasks on behalf of the users seamlessly.

Published By: Nishit Raghuwanshi

Published: Jan 24, 2025, 04:12 PM IST

OpenAI

OpenAI is not going to stop anytime soon with its new releases that are taking over the industry. Now, the AI pioneers have dropped their first Artificial Intelligence (AI) agent named Operator. In simple terms, an Operator is a general-purpose AI agent that can autonomously perform tasks online on the basis of the prompts given to it.

OpenAI mentioned that the Operator can be used to reserve a table in a restaurant, book tickets online, and even purchase products online. As of now, the Operator is only up for trial to the users in the United States, and that too only for the ChatGPT Pro subscribers. In the near future, we can get to see Operator being available for other tiers of OpenAI.

OpenAI’s Operator AI agent details

The CEO of OpenAI, Sam Altman, said that the AI agents are basically AI systems that work for the users independently. The users can give them a task and they will accomplish it. As for the operator, it is powered by a Computer-Using Agent (CUA) which is an AI Model that integrates advanced reasoning with vision capabilities from GPT-4o.

The agent was further trained with the help of reinforcement learning. It has the ability to interact with graphical user interfaces (GUIs) like menus, text fields, and buttons. The Operator can perform the tasks in the background if used in a dedicated browser.

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Apart from that, the founder of the AI newsletter The Rundown AI who had early access to Operator shared his experience. According to his post, the AI agent was able to plan a weekend trip based on advice from Reddit on a specific budget with particular interests. As per OpenAI, the safety of the AI agent has been tested rigorously. The model has mitigations implemented against three safety tiers including misuse, model mistakes, and frontier risks.

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Author Name | Nishit Raghuwanshi

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