Call it Moneyball for deep learning.
New York Times writer Cade Metz tells the funny, inspiring — and ultimately triumphant — tale of how a dogged group of AI researchers bet their careers on the long-dismissed technology of deep learning.
In his new book, Genius Makers: The Mavericks Who Brought AI to Google, Facebook, and the World, Metz reveals the human personalities behind the rise of AI, with a cast of well-known characters that includes Geoffrey Hinton, Yann Lecun, Yoshua Bengio and more.
The book begins with Metz’s favorite anecdote — how Hinton, a professor at the University of Toronto, and two students, Alex Kruszewski and Ilya Sutskever, moved into Google as large technology companies began to see the merits of AI.
Another fascinating story focuses on UC Berkeley professor Sergey Levine’s work on reinforcement learning at Google. He helped set up the “arm farm” — multiple robotic arms that learn how to successfully pick up items by trying and failing repeatedly.
Levine left the arms to do their work over the weekend, and came back Monday to what looked like a crime scene — one of the arms had failed to pick up lipstick correctly, resulting in what looked like bloodstains all over the room.
For more stories about the minds behind today’s technology, Genius Makers is out now.
Key Points From This Episode:
- Metz’s book captures the nuance and contradictions within the AI community, where experts can have polarizing viewpoints on emerging technology. Metz gives the example of scientists Frank Rosenblatt and Marvin Minsky, who firmly disagreed on what potential neural networks held.
- One recurring theme throughout Genius Makers is that of “old ideas or new” — a mantra at Hinton’s university lab. It represented his belief that, if a scientist believed an idea could work, even if it seemed like a slim chance, they should keep trying until proven wrong. It’s a belief that’s served him well throughout his long career.
“Part of my mission on earth is to show people that engineers, like my father, are real, interesting, fascinating people.” — Cade Metz [1:37]
“These technologies are continuing to progress at an incredibly fast rate and the questions that they raise have not been solved.” — Cade Metz [31:22]
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