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AI in Action Episode 5 : OpenAI Codex App Gets a Good Start - Elon Musk Missed Building Moltbot Summary In this conversation, Kashi and Rajan discuss the recent launch of OpenAI's Codex, its implications for software development, and the future of work. They explore the differences between various AI models, the integration of automation tools, and the evolving roles of humans and agents in the tech landscape. The discussion also touches on network effects in screenless software and the potential for smaller teams to achieve greater productivity. Overall, the conversation highlights the rapid changes in technology and the need for adaptation in the workforce. Takeaways OpenAI's Codex has changed the way we think about project management. Naming conventions in AI can create confusion and hinder progress. The future of work will involve smaller, more agile teams. Automation tools are becoming essential for developers. Codex's integration with existing tools enhances productivity. The role of product managers may evolve significantly in the future. Human-agent collaboration will redefine job roles and responsibilities. Network effects in software are shifting with the rise of screenless interfaces. Defensibility in software will depend on continuous improvement and user engagement. The landscape of AI and software development is evolving rapidly, requiring constant adaptation. Sound Bites "The engine wars are over." "Codex got it right." "Elon Musk Missed Building Moltbot." Chapters 00:00 The Excitement of OpenAI's Codex Launch 02:58 Comparing AI Models: Codex, Cloud, and Gemini 06:12 The Future of Work: Team Dynamics and Productivity 12:00 The Role of Agents in Software Development 18:00 Screenless Software and Network Effects 23:58 Defensibility in the Age of User-Generated Software