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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