logo
episode-header-image
Aug 2019
25m 40s

Go to Zero

Hannah Fry
About this episode

In March 2016, more than 200 million people watched AlphaGo become first computer program to defeat a professional human player at the game of Go, a milestone in AI research that was considered to be a decade ahead of its time. Since then the team has continued to develop the system and recently unveiled AlphaZero: a program that has taught itself how to play chess, Go, and shogi. Hannah explores the inside story of both with Lead Researcher David Silver and finds out why games are a useful proving ground for AI researchers. She also meets Chess Grandmaster Matthew Sadler and women’s international master Natasha Regan, who have written a book on AlphaZero and its unique gameplay.

If you have a question or feedback on the series, message us on Twitter (@DeepMind using the hashtag #DMpodcast) or email us at podcast@deepmind.com.

Further reading

Interviewees: DeepMind CEO Demis Hassabis, Matthew Sadler, chess Grandmaster; Lead Researcher David Silver, Matt Botvinick, Director of Neuroscience Research; and Natasha Regan, women’s international chess master.

Credits:
Presenter: Hannah Fry
Editor: David Prest
Senior Producer: Louisa Field
Producers: Amy Racs, Dan Hardoon
Binaural Sound: Lucinda Mason-Brown
Music composition: Eleni Shaw (with help from Sander Dieleman and WaveNet)
Commissioned by DeepMind

Want to share feedback? Why not leave a review on your favorite streaming platform? Have a suggestion for a guest that we should have on next? Leave us a comment on YouTube and stay tuned for future episodes. 

 

Up next
Aug 22
Genie 3: An infinite world model with Shlomi Fruchter and Jack Parker-Holder
In this episode, Professor Hannah Fry speaks with Jack Parker-Holder and Shlomi Fruchter about Genie 3, a general-purpose world model that can generate an unprecedented diversity of interactive environments. The conversation covers how this model's auto-regressive nature allows f ... Show More
56m 40s
Jul 10
A Whistle Stop Tour of AI Creation with Paige Bailey
This week's episode is a slight departure from our usual deep dives. Join Paige Bailey, DevRel lead, as she guides Hannah Fry though some of her favorite AI tools. Having spent years understanding the 'what' of these models, Hannah finally gets to experience the 'how’ – from gene ... Show More
29m 42s
Jun 19
The Nature of AI: Solving the Planet's Data Gap with Drew Purves
Further reading:Natural forests of the world: paper, data and benchmarksForest loss drivers: paper, summary from WRI, and blog from GFWForest loss drivers code: Google Earth Engine; at WRI; at GFW; or Zenodo. Deep learning based remote sensing (open source): Jeo, GeeFlowSpecies m ... Show More
40m 21s
Recommended Episodes
Mar 2023
Humans vs. Machines with Gary Marcus
From the producers of The World as You’ll Know It, a new series about the perils and promise of artificial intelligence with cognitive scientist, Gary Marcus. For all the progress in artificial intelligence over the last 70 years — computers can now beat people at chess and Go, d ... Show More
3m 33s
Oct 2024
Never Too Much AI: Upwork's Andrew Rabinovich
Andrew Rabinovich began his career in technology working on AI applications for cancer detection. He also spent time at Google, working on early iterations of products like Google Glass. Now at Upwork, as vice president and head of AI and machine learning, Rabinovich and his team ... Show More
36m 37s
Apr 2025
Demis Hassabis on AI, Game Theory, Multimodality, and the Nature of Creativity | Possible
How can AI help us understand and master deeply complex systems—from the game Go, which has 10 to the power 170 possible positions a player could pursue, or proteins, which, on average, can fold in 10 to the power 300 possible ways? This week, Reid and Aria are joined by Demis Ha ... Show More
1 h
Jul 31
The Future of Humans, AI and Intelligent Technologies
Dr. Ja-Naé Duane talks about her book, coauthored with futurist Steve Fisher, SuperShifts: Transforming How We Live, Learn, and Work in the Age of Intelligence. Ja-Naé is a leading behavioral scientist, an MIT research fellow, and an innovation strategist with deep expertise in e ... Show More
28m 2s
Jan 2025
619. How to Poison the A.I. Machine
When the computer scientist Ben Zhao learned that artists were having their work stolen by A.I. models, he invented a tool to thwart the machines. He also knows how to foil an eavesdropping Alexa and how to guard your online footprint. The big news, he says, is that the A.I. bubb ... Show More
52m 5s
Jul 2024
689: How to Use AI to Think Better, with José Antonio Bowen
José Antonio Bowen: Teaching With AI José Antonio Bowen has won teaching awards at Stanford and Georgetown and is past president of Goucher College. He has written over 100 scholarly articles and has appeared as a musician with Stan Getz, Bobby McFerrin, and others. He is the aut ... Show More
39m 23s
Jan 2025
EP 139 | Who Decides The World Championship? ft. GM Jacob Aagaard
The sensei are joined by GM Jacok Aagaard to discuss who decides the world championship. Get ChessDojo's first book, How to Analyze Your Games, here: https://amzn.to/3Ds5r78 Watch Live - https://twitch.tv/chessdojo  Join the Training Program - https://chessdojo.club  Play Chess - ... Show More
2 h
Jan 2025
Michele Elam, William Robertson Coe Professor in the Humanities; Senior Fellow, Institute for Human-Centered Artificial Intelligence; Bass University Fellow in Undergraduate Education
Michele Elam, the William Robertson Coe Professor of Humanities in the English Department at Stanford University and a Race and Technology Affiliate at the Center for Comparative Studies in Race and Ethnicity, joins Behind the Tech to discuss her journey and work. Michele shares ... Show More
1h 5m
Oct 2024
He Built an AI Football Coach Assistant & Google Maps Algorithm with Petar Veličković #50
Our guest today is Petar Veličković, Staff Research Scientist at Google DeepMind and Affiliated Lecturer at University of Cambridge. In our conversation, we first dive into how Petar got into Graph ML and discuss his most cited paper: Graph Attention Networks. We then dig into De ... Show More
1h 6m
Apr 2024
Measuring The Speed of AI Through Benchmarks
David Kanter, Executive Director at MLCommons, discusses the work they’re doing with MLPerf Benchmarks, creating the world’s first industry standard approach to measuring AI speed and safety. He also shares ways they’re testing AI and LLMs for harm, to measure—and, over time, red ... Show More
31m 45s