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 - Codex has experienced a remarkable growth of 20 times since the release of GPT-5, processing trillions of tokens weekly, making it OpenAI's most popular programming AI [1][14] - The success of Codex is attributed not only to the strength of the model but also to the integration of the model, API, and framework, which work together seamlessly [1][20] - Codex has improved its long-duration task capabilities through a mechanism called "compression," allowing it to summarize learned content and continue tasks over extended periods [1][18] Group 1: Codex's Development and Impact - Codex's user growth was significantly boosted by moving from a cloud-based model to a local IDE integration, making it more accessible to engineers [3][7] - The Sora team utilized Codex to launch an Android application in just 28 days, achieving the top rank in the App Store [2] - Codex is envisioned as a "smart but non-proactive intern," with aspirations for it to participate in the entire software development process [11][21] Group 2: Organizational Culture and Speed - OpenAI's unique organizational culture emphasizes rapid iteration and a bottom-up approach, allowing for quick adaptations based on real user feedback [5][10] - The company prioritizes hiring top talent and fostering a culture that encourages fast-paced development and experimentation [5][10] - OpenAI's approach contrasts with traditional methods, focusing on releasing products quickly and refining them based on actual usage [9][10] Group 3: Future of AI and AGI - The current limitations to achieving AGI are seen as human factors, such as input and review speeds, rather than model capabilities [4] - A prediction is made that the first wave of productivity increases from AI will occur next year, leading to rapid changes in the industry [4] - The future of AI is expected to shift from passive tools to proactive teammates that can autonomously assist in various tasks [21][22] Group 4: Technical Innovations and Framework - Codex's architecture consists of a smart reasoning model, an API, and a framework that collectively enhance its performance [20][23] - The model's ability to work continuously for 24 to 60 hours on tasks is a significant advancement, allowing for unprecedented levels of productivity [7][18] - The integration of Codex into local environments has created a powerful feedback loop, enhancing its reliability and effectiveness [16][23] Group 5: Implications for Software Engineering - The role of engineers is expected to evolve, with AI acting as a collaborator rather than a replacement, enhancing the importance of human skills in understanding and designing systems [30] - The focus is shifting towards making the coding process enjoyable and reducing the burden of code review, which is often seen as tedious [31][38] - The concept of "chat-driven development" is proposed, where AI integrates into daily communication, making it easier for engineers to interact with the technology [33][34]