OpenAI Podcast

Healthcare systems around the world are under strain, and both patients and clinicians are feeling the impact. OpenAI's Head of Health Dr. Nate Gross and Karan Singhal, who leads Health AI Research, discuss how AI can help address the biggest challenges. They cover how OpenAI is training models to handle sensitive health questions in collaboration with physicians, and how that foundation is unlocking a new generation of tools for patients, clinicians, and healthcare systems. Chapters 00:00:38 – Origins of Nate and Karan’s interest in AI and healthcare 00:05:01 – Strategy for building AI tools for clinicians 00:06:57 – How AI models are trained for health use cases 00:10:15 – How OpenAI is able to score well on health evals 00:14:21 – Key challenges deploying AI in healthcare 00:21:05 – Collaboration with hospitals and healthcare systems 00:23:05 – Practical everyday uses of AI health assistants 00:26:43 – Biggest “wow” moment during development 00:28:46 – Feedback from clinicians and early users Hosted on Acast.

How should advertising work in an AI product? Asad Awan, one of the ad leads at OpenAI, walks through how the company is approaching this decision and why it’s testing ads in ChatGPT at all. He explains how ads are built to stay separate from the model response, keep conversations with ChatGPT private from advertisers, and give people control over their experience. Chapters 00:00:29 — Mission and principles 00:04:01 — Separation between ads and answers 00:07:31 — Who will see ads 00:08:52 — Internal input and decision-making process 00:11:06 — Controls and how ads will work 00:15:53 — Guardrails for sensitive conversations 00:17:33 — Skepticism about ads 00:20:26 — Helping small businesses 00:24:13 — Future of ads Hosted on Acast.

OpenAI CFO Sarah Friar and Khosla Ventures founder Vinod Khosla argue the greatest challenges in AI right now are keeping up with demand and making sure more people get the benefit. They unpack what's driving big investments in compute and why this moment is different from other technology cycles — with meaningful advances in health, agents, and robotics still ahead. Chapters 00:00:00 — What’s the AI story of 2026? 00:07:28 — AI in healthcare 00:12:01 — Scaling compute to match revenue 00:18:05 — Difference between now and dot-com bubble 00:27:41 — Ads in ChatGPT 00:30:05 — Will consumers have more than one AI subscription? 00:36:41 — Winning in enterprise 00:39:44 — How can startups succeed? 00:44:05 — Robotics and beyond Hosted on Acast.

What does it mean for an AI model to have "personality"? Researcher Christina Kim and product manager Laurentia Romaniuk talk about how OpenAI set out to build a model that delivers on both IQ and EQ, while giving people more flexibility in how ChatGPT responds. They break down what goes into model behavior and why it's an important, but still imperfect blend of art and science. Chapters: - 00:00:43 — GPT-5.1 goals and the shift to reasoning models - 00:02:18 — Differences between GPT-5 and GPT-5.1 - 00:04:55 — Unpacking the model switcher - 00:07:24 — Understanding user feedback - 00:08:27 — Measuring progress on emotional intelligence - 00:10:02 — What is model personality? - 00:14:25 — Model steerability, bias, and uncertainty - 00:21:59 — Advantages of memory in ChatGPT - 00:25:27 — Looking ahead and advice for getting the most out of models Hosted on Acast.

AI is beginning to change how science gets done. Head of OpenAI for Science Kevin Weil and OpenAI research scientist Alex Lupsasca talk about the early signs of acceleration researchers are seeing with GPT-5—from surfacing literature across fields and languages, to speeding up complex calculations, to designing follow-up experiments. They unpack what’s possible today, what doesn’t work yet, and why the next few years could reshape the trajectory of scientific progress across physics, math, biology and beyond. Chapters - 00:00:40 — OpenAI for Science mission - 00:06:00 — Literature search and intersections across fields - 00:11:19 — A fusion physicist shows what GPT-5 can do - 00:15:08 — GPT-5 Pro and black hole symmetries - 00:19:02 — Getting the most out of the models - 00:24:33 — OpenAI’s new research paper ( https://openai.com/index/accelerating-science-gpt-5/ ) - 00:29:59 — Looking ahead to the next 5 years - 00:32:05 — Will predictions outpace experiments? - 00:36:43 — The pace of model improvement - 00:40:31 — What do scientific benchmarks look like? - 00:44:16 — Fusion and the promise of abundant energy - 00:48:07 — Closing: Science 2.0 moment Hosted on Acast.

How will the internet feel when your browser can actually help do things for you? OpenAI’s Ben Goodger and Darin Fisher, whose past work shaped some of the most popular modern browsers, dive into the making of ChatGPT Atlas. They explore how AI changes what a browser can be, from tabs you can talk to, to agents that take over tedious tasks. Learn more about the decisions they made along the way and what’s coming next. - 00:00:45 What is Atlas? - 00:03:34 The state of browsers and AI on the web - 00:13:55 Under the hood: why browsers are hard (OWL, rendering) - 00:22:00 Building with AI: Codex, cross-language, Swift on Windows - 00:33:39 Search in Atlas: one box plus model response - 00:41:28 Favorite features: scrolling tabs and tab search - 00:45:23 Side Chat in action: summarize, shop, build forms - 00:46:59 Real-world wins with Agent (cloud bill, medical results) - 00:52:45 Why Chromium? Compatibility and extensions - 01:07:57 Five-year vision: an agentic web and reduced toil - 01:13:11 Power tips and closing remarks Learn more about OWL https://openai.com/index/building-chatgpt-atlas/ Hosted on Acast.

Sam Altman and Greg Brockman from OpenAI sit down with Broadcom’s Hock Tan and Charlie Kawwas to discuss their new partnership—and what it means for the future of AI. From custom silicon to global-scale infrastructure, they share how compute innovation is shaping the road to AGI. 00:00 Announcing the partnership 03:06 The scale of AI infrastructure 06:03 Collaboration and innovation in chip design 08:49 Historical context and future vision 12:10 Role of compute in AI development 15:01 Optimizing for specific workloads 18:02 Journey towards AGI 21:00 Future of AI and compute capacity 23:50 Wrap-up and future projects Hosted on Acast.

The OpenAI Podcast is live for the first time. Host Andrew Mayne sits down with startups Cursor, Abridge, SchoolAI, and Jam.dev —each reimagining how AI can transform their industries. From healthcare and education to coding and collaboration, we explore how these builders are putting AI to work in the real world. 00:23 Caleb Hicks (SchoolAI) 14:14 Dani Grant (Jam.dev) 26:20 Zach Lipton (Abridge) 44:38 Lee Robinson (Cursor) Hosted on Acast.

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-3 2:20 – Why coding became OpenAI’s deepest focus area 4:00 – What a “harness” is and why it matters for agents 5:30 – Lessons from GitHub Copilot and latency tradeoffs 8:20 – From terminal prototypes to agentic software engineers 19:30 – agents.md and the future of collaborative coding 22:55 – Refactoring, code review, and breakthrough use cases 29:45 – Launching GPT-5 Codex and the road to multi-agent systems 35:00 – Security and the 2030 outlook 43:00 – Compute scarcity 46:30 – Should you still learn to code in the AI era? Hosted on Acast.

How close are we to automating scientific discovery? What do AI competition wins really tell us about progress toward AGI? OpenAI Chief Scientist Jakub Pachocki and researcher Szymon Sidor share inside stories—from gold medals at the International Math Olympiad to surprising leaps in reasoning—that reveal where AI is headed next. 1:20 – From high school in Poland to AI research leaders 4:50 – Explaining AGI: technical and everyday perspectives 6:30 – Automating scientific discovery with AI 7:50 – Breakthroughs in medicine, AI safety, and alignment 10:30 – Today is a decade in the making 14:30 – Benchmark saturation and its limits 16:50 – Why math competitions matter for AI 18:15 – How models reason without tools 21:45 – Recognizing when a model can’t solve a problem 23:30 – Storytime: AtCoder competition in Japan 26:50 – How reasoning breakthroughs really happen 28:55 – What’s next for scaling and long-horizon reasoning 30:30 – What AGI will look and feel like 36:25 – Balancing trust and personal value 34:00 – Advice to high school students in 2025 Hosted on Acast.

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 moonshot 01:40 – ChatGPT as a global learning platform—countries lean in 03:50 – Universities: equal access, trust, and adoption 05:12 – From AI detectors to better policy and practice 06:50 – Study Mode explained 09:51 – AI as a tutor that builds confidence 11:35 – Workforce skills graduates need 14:15 – The great brain rot debate 18:00 – A personal learning anecdote 19:30 – Meet the students 21:30 – First experiences with AI 25:25 – How professors are adapting 29:28 – Trying Study Mode 33:20 – ChatGPT vs. social media 41:43 – Cheating, challenges, and advice for students 49:24 – The future of learning with AI Hosted on Acast.

The future of work is arriving faster than expected. In this episode, OpenAI COO Brad Lightcap and Chief Economist Ronnie Chatterji join Andrew Mayne to discuss the impacts of AI on software, science, small business, education, and jobs. 00:00 Intro 01:00 Brad Lightcap on OpenAI’s deployment mission 02:00 Birth of ChatGPT: from playground to product 06:15 AI’s impact on work & productivity 08:55 Supercharging science with AI 09:55 Small teams with big leverage 13:10 What sectors are next? 17:05 Defining AI agents 20:30 Small business growth with AI agents 22:08 AI in emerging markets & agriculture 25:53 Return of the “Idea Guy” 28:20 Why EQ and soft skills matter 31:35 Education for the AI era 36:11 Partnering with Cal State & educators 39:14 From bans to buy-in in schools 42:00 Ronnie’s research: sectors, geography, communication 45:46 What should we tell our kids? 48:14 What history teaches us about disruption 52:04 Expanding participation in the economy 55:35 AI increases demand 59:19 Why OpenAI will grow after AGI 1:02:05 Favorite ChatGPT use cases Hosted on Acast.

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 Chen 00:40 – Origin of the name "ChatGPT" 03:50 – ChatGPT’s viral takeoff 07:00 – Internal debate before launch 9:40 – Evolution of OpenAI’s launch approach 11:00 – The sycophancy incident and RLHF 14:45 – Balancing usefulness vs. neutrality in model behavior 20:00 – Memory and the future of personalization 22:50 – ImageGen’s breakthrough moment 29:00– Cultural shifts in safety and the freedom to explore 33:10 – Code, Codex, and the rise of agentic programming 37:45 - Coding with taste 41:45 – Internal adoption of Codex 43:40 – Skills that matter: curiosity, agency, adaptability 46:45 – OpenAI’s “Do Things” culture 51:30 – Adapting to an AI future 55:15 – The opportunities ahead: healthcare, research 01:01:00 – Async workflows and the superassistant 01:05:40 – Favorite ChatGPT tips Hosted on Acast.

On the first episode of the OpenAI Podcast, Sam Altman joins host Andrew Mayne to talk about the future of AI: from GPT-5 and AGI to Project Stargate, new research workflows, and AI-powered parenting. 00:00Welcome to the OpenAI Podcast 01:00ChatGPT & parenthood 04:10AGI, superintelligence & scientific progress 07:10Operator, Deep Research & productivity 10:30GPT-5 & how we name models 13:40User privacy & NYT lawsuit 16:15Will ChatGPT ever show ads? 20:30Social media & user behavior 23:25Project Stargate & why compute matters 31:30Future progress & potential new AI devices 38:45Final thoughts Hosted on Acast.

Coming soon. The OpenAI podcast. Hosted on Acast.