OpenAI Podcast

What happens when AI becomes a true coding collaborator? OpenAI co-founder Greg Brockman and Codex engineering lead Thibault Sottiaux talk about the evolution of Codex—from the first glimpses of AI writing code, to today’s GPT-5 Codex agents that can work for hours on complex refactorings. They discuss building “harnesses,” the rise of agentic coding, code review breakthroughs, and how AI may transform software development in the years ahead.1:15 – The first sparks of AI coding with GPT-32:20 – Why coding became OpenAI’s deepest focus area4:00 – What a “harness” is and why it matters for agents5:30 – Lessons from GitHub Copilot and latency tradeoffs8:20 – From terminal prototypes to agentic software engineers19:30 – agents.md and the future of collaborative coding22:55 – Refactoring, code review, and breakthrough use cases29:45 – Launching GPT-5 Codex and the road to multi-agent systems35:00 – Security and the 2030 outlook43:00 – Compute scarcity46:30 – Should you still learn to code in the AI era? Hosted on Acast. See acast.com/privacy for more information.

AI is redefining how we learn — from personalized tutoring to entirely new teaching models. OpenAI’s Head of Education, Leah Belsky, joins host Andrew Mayne to discuss what this shift means for students, educators, and society. Special guests include college students Yabsera and Alaap, who share their perspectives on learning in the AI era.00:22 – Leah’s path to OpenAI & the moonshot01:40 – ChatGPT as a global learning platform—countries lean in03:50 – Universities: equal access, trust, and adoption05:12 – From AI detectors to better policy and practice06:50 – Study Mode explained09:51 – AI as a tutor that builds confidence11:35 – Workforce skills graduates need14:15 – The great brain rot debate18:00 – A personal learning anecdote19:30 – Meet the students21:30 – First experiences with AI25:25 – How professors are adapting29:28 – Trying Study Mode33:20 – ChatGPT vs. social media41:43 – Cheating, challenges, and advice for students49:24 – The future of learning with AI Hosted on Acast. See acast.com/privacy for more information.

Why was OpenAI surprised by ChatGPT’s success? What does it really mean to “reason” in an AI system? And what’s next for agentic coding and multimodal assistants? OpenAI Head of ChatGPT Nick Turley and Chief Research Officer Mark Chen unpack it all in a conversation that pulls back the curtain on the making of OpenAI’s most iconic product.00:00 – Intro: Meet Nick Turley and Mark Chen00:40 – Origin of the name "ChatGPT"03:50 – ChatGPT’s viral takeoff07:00 – Internal debate before launch9:40 – Evolution of OpenAI’s launch approach11:00 – The sycophancy incident and RLHF14:45 – Balancing usefulness vs. neutrality in model behavior20:00 – Memory and the future of personalization22:50 – ImageGen’s breakthrough moment29:00– Cultural shifts in safety and the freedom to explore33:10 – Code, Codex, and the rise of agentic programming37:45 - Coding with taste41:45 – Internal adoption of Codex43:40 – Skills that matter: curiosity, agency, adaptability46:45 – OpenAI’s “Do Things” culture51:30 – Adapting to an AI future55:15 – The opportunities ahead: healthcare, research01:01:00 – Async workflows and the superassistant01:05:40 – Favorite ChatGPT tips Hosted on Acast. See acast.com/privacy for more information.

Coming soon. The OpenAI podcast. Hosted on Acast. See acast.com/privacy for more information.