Codex负责人打脸Cursor CEO“规范驱动开发论”！18天造Sora爆款，靠智能体24小时不停跑，曝OpenAI狂飙内幕

Core Insights - The article discusses the explosive growth of OpenAI's Codex since the release of GPT-5, highlighting a 20-fold increase in user engagement and the ability to process trillions of tokens weekly, making it the most popular programming AI [2][3][21]. - Codex's success is attributed not only to model improvements but also to a three-layer system comprising the model, API, and framework, which work together to enhance its capabilities [2][20][26]. Group 1: Codex's Performance and Growth - Codex has demonstrated remarkable performance in real-world applications, such as fixing bugs in under an hour and enabling the Sora team to launch an Android app that reached the top of the App Store within 28 days [4][5][11]. - The transition of Codex from a cloud-based model to a local IDE integration significantly improved its usability and growth, leading to a 20-fold increase in usage over the past six months [6][11][24]. - Codex's ability to handle long-duration tasks has been enhanced through a mechanism called "compression," allowing it to summarize learned content and continue working across sessions [27]. Group 2: Organizational Culture and Development Approach - OpenAI's unique organizational culture emphasizes rapid iteration and a bottom-up approach, allowing for quick experimentation and adaptation based on user feedback [6][10][12]. - The company prioritizes hiring top talent and fostering a culture that encourages autonomy and rapid progress, which is essential for maintaining its competitive edge in AI development [10][12][13]. Group 3: Future of AI and Codex - Alexander Embiricos predicts that the first wave of productivity gains from AI will emerge next year, with a steep increase in user engagement as AI capabilities evolve [7][8]. - The future vision for Codex includes it becoming an integral part of the software development process, acting as a proactive team member rather than a passive tool [17][29][30]. - The article suggests that the true potential of AI lies in its ability to assist in various stages of software development, from planning to deployment, rather than just code generation [29][30][43]. Group 4: Impact on Software Engineering - The integration of AI like Codex is expected to change the role of software engineers, making coding more accessible and central to various tasks, rather than replacing the need for human engineers [41][42]. - The article highlights the challenge of code review and validation as a significant bottleneck in engineering, emphasizing the need for AI to take on more responsibility in these areas to enhance productivity [49][50]. Group 5: Codex's Technical Structure - Codex's architecture consists of a smart reasoning model, an API, and a framework that collectively enhance its functionality and user experience [26][27][31]. - The article emphasizes the importance of maintaining a clear operational framework for Codex, allowing it to work effectively within a shell environment, which facilitates rapid iteration and user feedback [30][31].