OpenAI Podcast

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

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

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 remarksLearn more about OWLhttps://openai.com/index/building-chatgpt-atlas/

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)

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?

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 leaders4:50 – Explaining AGI: technical and everyday perspectives6:30 – Automating scientific discovery with AI7:50 – Breakthroughs in medicine, AI safety, and alignment10:30 – Today is a decade in the making14:30 – Benchmark saturation and its limits16:50 – Why math competitions matter for AI18:15 – How models reason without tools21:45 – Recognizing when a model can’t solve a problem23:30 – Storytime: AtCoder competition in Japan26:50 – How reasoning breakthroughs really happen28:55 – What’s next for scaling and long-horizon reasoning30:30 – What AGI will look and feel like36:25 – Balancing trust and personal value34:00 – Advice to high school students in 2025

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

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 Intro01:00 Brad Lightcap on OpenAI’s deployment mission02:00 Birth of ChatGPT: from playground to product06:15 AI’s impact on work & productivity08:55 Supercharging science with AI09:55 Small teams with big leverage13:10 What sectors are next?17:05 Defining AI agents20:30 Small business growth with AI agents22:08 AI in emerging markets & agriculture25:53 Return of the “Idea Guy”28:20 Why EQ and soft skills matter31:35 Education for the AI era36:11 Partnering with Cal State & educators39:14 From bans to buy-in in schools42:00 Ronnie’s research: sectors, geography, communication45:46 What should we tell our kids?48:14 What history teaches us about disruption52:04 Expanding participation in the economy55:35 AI increases demand59:19 Why OpenAI will grow after AGI1:02:05 Favorite ChatGPT use cases