This week on If/Then, we’re sharing an episode of What’s Your Problem?, a show from Pushkin Industries where entrepreneurs, engineers, and scientists talk about the future they’re trying to build—and the problems they must solve to get there. Hosted by former Planet Money co-host Jacob Goldstein, each conversation explores the challenges and breakthroughs shaping the next wave of innovation.

In this episode, Goldstein speaks with Fei-Fei Li, Stanford computer scientist, former Chief Scientist of AI and Machine Learning at Google, and one of the most influential figures in the field of computer vision. Li reflects on her pioneering work developing ImageNet, the massive dataset that helped spark the modern AI revolution, and the “north star” questions that have guided her research from neuroscience to machine learning.

Together, they trace how a single insight about how humans see the world led to a paradigm shift in artificial intelligence—and how Li’s vision continues to shape the way we teach machines to see, learn, and collaborate with us.

More Resources:

• Fei Fei Li

• Stanford Institute for Human-Centered Artificial Intelligence (HAI)

• ImageNet

• What’s Your Problem?

If/Then is a podcast from Stanford Graduate School of Business that examines research findings that can help us navigate the complex issues we face in business, leadership, and society.

Chapters:

(00:00:00) Introducing “What’s Your Problem?”

Kevin Cool introduces the Pushkin Industries podcast hosted by Jacob Goldstein.

00:00:45 — What Is Computer Vision?

Jacob Goldstein and Fei-Fei Li explain how machines learn to see and interpret images.

00:03:18 — Real-World Uses of AI Vision

Li shares examples from healthcare, robotics, and environmental science.

00:05:06 — Discovering the Science of Seeing

How human vision research inspired Li’s lifelong “north star” in AI.

00:09:56 — Creating ImageNet

Li builds a massive image database that transforms computer vision research.

00:13:29 — Defining 30,000 Visual Concepts

How cognitive science helped shape ImageNet’s massive scale.

00:16:41 — Building the Dataset by Hand

Li's team uses global crowdsourcing to label millions of images.

00:19:38 — The 2012 Breakthrough

Jeff Hinton’s neural network shatters records and sparks the deep learning era.

00:22:19 — Data Meets Hardware

Li reflects on how big data and GPUs converged to power modern AI.

00:24:55 — Lightning Round with Fei-Fei Li

Quick insights on resilience, mentorship, and the future of human-AI collaboration.

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This week on If/Then, we’re sharing an episode of GSB at 100, a limited audio series created especially for Stanford Graduate School of Business’s Centennial. GSB at 100 presents a scrapbook of memories, ideas, and breakthroughs, as the GSB celebrates its first century and looks around the corner to what the next hundred years may hold.

The first episode of the series begins where the GSB begins: in 1925, Herbert Hoover, a Stanford alum and future U.S. president, had an idea. “A graduate School of Business Administration is urgently needed upon the Pacific Coast,” he wrote.

One hundred years later, what has Stanford Graduate School of Business accomplished, and what might its future hold? Listen in as professors reflect on founding principles, frontier technologies, and the magic that makes the GSB the place it is — and shapes what it aspires to be.

If/Then is a podcast from Stanford Graduate School of Business that examines research findings that can help us navigate the complex issues we face in business, leadership, and society. Each episode features an interview with a Stanford GSB faculty member.

Learn more about the Stanford GSB Centennial

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This week on If/Then, we’re sharing an episode of View From The Top: The Podcast, an audio series featuring leaders from around the world in conversation with MBA students. Recorded live at the CEMEX Auditorium at Stanford Graduate School of Business, episodes feature insights on effective leadership, the values that guide it, and lessons learned along the way.

Lisa Su, the chair and CEO of Advanced Micro Devices (AMD), leads one of the world’s most influential technology companies, a pioneer in high-performance computing and designer of chips that power everything from cellphones to supercomputers.

Su joins Michael Liu, MBA ’25, to talk about what it takes to stay on the cutting edge of technology, the tremendous potential of artificial intelligence, and why her superpower may be her commitment to learning.

“Careers are very much by chance,” Su says. “The nice thing about my early career is I was lucky enough to have bosses who asked me all the time, ‘What do you want to be when you grow up?’ And I was like, ‘I don't know. Let me think about [it]...what I like to believe is the ability to learn at each step was what really helped me in my career.”

This conversation was recorded on February 24, 2025.

More Resources:

• Lisa Su

• GSB Insights

• View From The Top

If/Then is a podcast from Stanford Graduate School of Business that examines research findings that can help us navigate the complex issues we face in business, leadership, and society.

Chapters:

(00:00:00) Introduction

Kevin Cool introduces a summer spotlight on other podcasts, featuring View from the Top.

(00:00:59) Meet Lisa Su

Michael Liu introduces Lisa Su, AMD CEO, and highlights her career transformation.

(00:04:13) Growing Up & MIT Years

Lisa reflects on her immigrant upbringing and her journey through three degrees at MIT.

(00:05:43) Discovering Semiconductors

A part-time lab job at MIT ignites Lisa’s passion for chip technology.

(00:07:21) From Engineer to Leader

Lisa describes her transition from technical work to managing people and projects.

(00:11:19) Tackling Hard Problems

How curiosity and teamwork help Lisa embrace high-stakes technical challenges.

(00:13:40) Betting on Talent

Lisa recounts moments when she was given a chance—and how she now pays that forward.

(00:17:03) Becoming CEO at AMD

What brought Lisa to AMD and the unexpected call to lead the company.

(00:21:51) Strategy in a Turnaround

How AMD focused on high-performance computing and long-term bets.

(00:25:41) Cultural Shift at AMD

Lisa outlines how AMD’s culture became collaborative, ambitious, and learning-driven.

(00:27:19) AI & Global Tech Politics

The complex intersection of AI innovation and geopolitical regulation.

(00:32:37) Open vs. Closed AI Platforms

AMD’s open-source AI approach with NVIDIA’s more vertical model.

(00:38:54) Future Vision & Final Reflections

Lisa offers advice to MBAs and shares what she wants her legacy at AMD to be.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.