How OpenAI Builds AI Agents That Think and Act [Josh Tobin] - 730
AI Summary
In this episode of the TwiML AI podcast, host Sam Cherington is joined by Josh Tobin, a member of the technical staff at OpenAI. They discuss the evolution of AI agents, focusing on agentic products like Deep Research and Codec CLI. Josh shares insights about how the landscape of AI infrastructure is shifting, particularly in light of the success of general-purpose models like GPT-3 and GPT-4. They highlight the importance of training agents to handle complex workflows and the significance of reinforcement learning for improving agent performance. The conversation also touches on the trustworthiness of AI agents, the need for humans to remain involved in decision-making processes, and the potential for AI tools to enhance productivity in software development by allowing engineers to focus on high-level tasks rather than mundane coding. Josh emphasizes that the future may see a significant shift in how software is built, moving towards more collaborative interactions between humans and AI.