# Does Your Computer Belong To Codex? I Went To OpenAI To Ask **URL:** \ **Category:** Content Creators\ **Tags:** humans-in-the-loop, codex, agents, ai-news-strategy-dai, open-ai, automation\ **Created:** [22 September 2026 00:00 UTC](https://www.artofsm.art/t/does-your-computer-belong-to-codex-i-went-to-openai-to-ask/24190 "2026-09-22T00:00:00Z")\ **Posts on this page:** 2\ **Page:** 1
**Author:** ![artesia](https://www.artofsm.art/user_avatar/www.artofsm.art/artesia/32/36_2.png) [@artesia](https://www.artofsm.art/u/artesia)\ **Post date:** [22 September 2026 00:00 UTC](https://www.artofsm.art/t/does-your-computer-belong-to-codex-i-went-to-openai-to-ask/24190/1 "2026-09-22T00:00:00Z")
[![](https://www.artofsm.art/uploads/default/original/3X/b/5/b563638a91f83630bebbab705df30db9068f6016.jpeg "I Stopped Knowing What My Computer Was Doing. Then I Asked OpenAI Why.") ](https://www.youtube.com/watch?v=TR8RDUzQaMo) The video discusses how OpenAI’s Codex and Astra are transforming human-computer interaction by enabling AI agents to autonomously perform complex tasks and create interactive digital artifacts, making AI accessible and collaborative for a broader audience beyond developers. It highlights the evolving design challenges, technical considerations, and the profound impact of AI on knowledge work and organizational productivity, emphasizing the importance of adaptability and effective human-AI collaboration for future success. ---
**Author:** ![artesia](https://www.artofsm.art/user_avatar/www.artofsm.art/artesia/32/36_2.png) [@artesia](https://www.artofsm.art/u/artesia)\ **Post date:** [26 September 2026 06:50 UTC](https://www.artofsm.art/t/does-your-computer-belong-to-codex-i-went-to-openai-to-ask/24190/3 "2026-09-26T06:50:43Z")
The video explores the evolving relationship between humans and AI, particularly focusing on OpenAI’s Codex and Astra tools that enable AI to interact with computers and assist in knowledge work. The discussion begins with the intriguing question of whether the computer truly belongs to the user or if it is effectively controlled by Codex, as AI agents autonomously navigate and operate within various applications. This shift highlights how AI is increasingly handling complex tasks like UX testing and paperwork, often without the user fully understanding the background processes, signaling a new era of human-agent collaboration. The conversation delves into the design challenges and interface innovations required to make AI accessible and trustworthy for a broader audience beyond developers. Unlike early developer tools that exposed scripts and technical details, modern AI interfaces use visual pointers and simplified feedback to communicate actions, making the technology more approachable. The speakers emphasize the surprising effectiveness of AI in computer use, noting a tipping point where AI can fluently interact with complex systems without needing traditional machine-readable interfaces like APIs, thus unlocking vast new possibilities for automation in everyday tasks. A significant portion of the discussion centers on how AI is transforming knowledge work by enabling users to create new types of interactive and persistent digital artifacts, such as chat-based applications (“sites”), which go beyond traditional documents and spreadsheets. This evolution allows non-technical users to express complex ideas and automate workflows, effectively becoming developers in their own right. The speakers also highlight the importance of iterative workflows, fluency in working with AI agents, and the need for good decision-making and taste in guiding AI outputs, as busy work is increasingly delegated to AI. Token efficiency and model orchestration are addressed as critical technical considerations, with insights into how combining different AI models for orchestration and execution can optimize performance and cost. The conversation also touches on the future of interfaces, particularly the role of voice as a highly efficient input method paired with visual outputs, and the need for AI systems to proactively provide insights without overwhelming users. The speakers note the importance of designing AI interactions that allow users to interject and guide agents mid-task, fostering a more dynamic and collaborative experience. Finally, the video reflects on the broader impact of AI adoption within teams and organizations, emphasizing how early adopters drive productivity improvements by automating repetitive processes and sharing AI-powered tools with colleagues. The speakers share personal anecdotes about AI solving complex, real-world problems—from tax errors to creating personalized children’s books—illustrating the profound potential of AI to augment human capabilities. They conclude with a forward-looking perspective on the skills and mindsets needed to thrive alongside AI, underscoring continuous learning, adaptability, and the ability to work effectively with intelligent agents as key to future success. ## Useful Links - [OpenAI Codex Desktop App](https://openai.com/index/introducing-the-codex-app/) — Central to the video’s discussion on AI agents interacting with computers and automating tasks. - [OpenAI Astra AI Agent](https://openai.com/index/gpt-6-astra-next-generation-work/) — Central to the video’s exploration of AI tools transforming knowledge work and enabling new digital artifacts. - [OpenAI Research on AI Agents and Computer Use](https://openai.com/index/computer-using-agent/) — Provides foundational research context for the AI capabilities demonstrated by Codex and Astra.