In this episode of the Rate Limited podcast, hosts Ray Fernando, Adam Larson, and Eric discuss the latest AI model releases, including Opus 4.6 and Codex 5.3. They explore the implications of these advancements on coding practices, the emergence of swarm intelligence, and the challenges of managing multiple AI agents. The conversation also touches on the addictive nature of AI coding, the impact of AI on work-life balance, and the potential rise of AI spam in communication. The hosts emphasize the importance of taking breaks and maintaining a healthy relationship with technology as they navigate this rapidly evolving landscape.

Links:
Ray: https://www.youtube.com/@RayFernando1337
Eric: https://www.youtube.com/@pvncher
Adam: https://www.youtube.com/@GosuCoder

In this episode of the Rate Limited Podcast, hosts Ray, Adam, and Eric discuss the latest advancements in AI models and tools, including Codex, Opus, and Kimi K 2.5. They explore the intricacies of orchestration, task management, and the importance of security in AI applications. The conversation delves into the practical applications of these models in development and personal assistance, highlighting the balance between utility and risk. The hosts share their experiences and insights on using these tools effectively while navigating the evolving landscape of AI technology.

Links:
Ray: https://www.youtube.com/@RayFernando1337
Eric: https://www.youtube.com/@pvncher
Adam: https://www.youtube.com/@GosuCoder

In this episode of the Rate Limited podcast, hosts Ray Fernando, Adam Larson, and Eric Provencher dive deep into the latest advancements in AI, particularly focusing on Codex 5.2. They discuss user experiences, the steerability and speed of Codex, and the implications of the recent Claude crackdown on third-party agents. The conversation also explores the future of AI in software engineering, the innovative Ralph Loop approach, and the potential disruptions in various industries. The hosts emphasize the importance of adapting to these changes and maintaining a balance between automation and human oversight in coding practices.