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OpenAI brings Codex to ChatGPT mobile app

OpenAI has integrated its advanced desktop AI tool, Codex, into the ChatGPT mobile application, enabling a seamless workflow between smartphones and personal computers. This update allows users to manage and direct Codex tasks remotely via their mobile devices, effectively turning the phone into a control interface for the computer-based agent. According to the company, mobile users can now switch between different conversation threads, review generated outputs, approve specific commands, adjust model settings, or initiate new projects directly from their phones. The architecture behind this feature ensures that sensitive data remains secure on the local machine. Files, login credentials, system permissions, and the local development environment stay strictly on the computer where Codex operates. The mobile app receives only the necessary updates in real time, including screenshots of the screen, terminal output logs, code diffs, test results, and prompts for user approvals. This separation of duties maintains a high level of security while providing the convenience of remote oversight. This capability is particularly valuable for developers and power users who need to monitor long-running coding tasks or complex application workflows without being tethered to their desktop. The feature represents a significant step in making AI agents more accessible across different devices, bridging the gap between heavy computation and portable control. OpenAI is currently rolling out this integration as a preview feature on both iOS and Android platforms. It is available to all ChatGPT subscribers, including those on the free plan as well as the more affordable Go tier. This move underscores OpenAI's strategy to expand the utility of its ecosystem, ensuring that powerful tools like Codex are not limited to desktop users but are accessible anytime and anywhere through the mobile app. By bringing desktop-grade AI capabilities to mobile interfaces, OpenAI aims to enhance productivity for a broader audience while maintaining the robust security and performance required for complex coding tasks.

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