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The Times Tech Podcast

Cade Metz: “The human didn’t have a chance”

The Times Tech Podcast

Will Morley

Business, Unknown, Technology

4.9654 Ratings

🗓️ 23 April 2021

⏱️ 63 minutes

🧾️ Download transcript

Summary

The Sunday Times’ tech correspondent brings on Cade Metz, New York Times tech journalist and author of Genius Makers, to talk about the rise of artificial intelligence (3:00), the most important auction in tech (4:35), Europe’s AI crackdown (7:40), Geoff Hinton and neural networks (10:00), how AI starts to spread (13:00), Deepmind’s Demis Hassabis (18:20), why he turned down Facebook’s takeover bid (21:00), Project Maven (23:20), the AI “arms race” with China (25:25), whether artificial general intelligence is possible (29:20), the AlphaGo moment (33:00), Move 37 (38:10), what AI disrupts next (42:00), bias (45:05), the robot arm room (51:30), and the Rubik’s cube solution (56:15)

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Transcript

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0:00.0

Yo, technology.

0:02.9

What is it all about?

0:04.4

So you had these arms with these two claw-like metal grippers,

0:09.7

try and fail over and over and over again to pick this stuff up.

0:13.5

And one of the objects in one of the bins was a lipstick whose cap came off.

0:18.8

And they walked into the lab on a Monday morning and it looked like

0:23.0

there was blood all over the lab, that someone had been horribly murdered there in this

0:29.6

Google building in Mountain View, California. But it was indicative of the way these systems

0:34.7

learned. And what he'd like to say was that if things had gone horribly

0:38.7

wrong like that, they knew they were on the right track.

0:51.3

Hello and welcome to Danny in the Valley. Thank you.

0:54.4

Thank you for tuning in.

0:55.9

I am Danny Fawson, your host and the West Coast correspondent for the Sunday Times,

1:00.2

and we have a little something different for you this week.

1:03.1

We have an author on the pod, and trust me, you'll want to listen all the way to the end on this one,

1:08.7

because it is packed with amazing anecdotes and insights

1:12.4

into all things artificial intelligence, which of course is everywhere these days. But why is that?

1:20.6

How is that AI, which was this technology that for years, decades, had promised the moon and never

1:27.4

delivered and gone through several kind of deep, dark, had promised the moon and never delivered and gone through several kind

1:30.1

of deep, dark, long winters.

1:32.5

How is it that it has finally become so pervasive?

1:35.6

And in some cases, to great effect.

...

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