Stay ConnectedHosted by Andrew Mayne, The OpenAI Podcast features conversations with the people working at and building with OpenAI. Topics range from what goes into developing frontier AI models and new features, to what users are doing with the technology. It’s a practical look at how AI is made and where it’s going, told by the people closest to the work.
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Copyright: © OpenAI
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
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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
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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
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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/
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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
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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)
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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?
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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
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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
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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
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