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The Political Scene | The New Yorker

Geoffrey Hinton: “It’s Far Too Late” to Stop Artificial Intelligence

The Political Scene | The New Yorker

The New Yorker

President, Wickenden, Washington, Lizza, Obama, Wnyc, News, Barack, Politics

4.33.9K Ratings

🗓️ 29 November 2023

⏱️ 34 minutes

🧾️ Download transcript

Summary

The American public’s increasing fascination with artificial intelligence—its rapid advancement and ability to reshape the future—has put the computer scientist Geoffrey Hinton in an awkward position. He is known as the godfather of A.I. because of his groundbreaking work in neural networks, a branch of computer science that most researchers had given up on, while Hinton’s advances eventually led to a revolution.  But he is now fearful of what it could unleash. “There’s a whole bunch of risks that concern me and other people. . . . I’m a kind of latecomer to worrying about the risks, ” Hinton tells The New Yorker’s Joshua Rothman. “Because very recently I came to the conclusion that these digital intelligences might already be as good as us. They’re able to communicate knowledge between one another much better than we can.” Knowing the technology the way he does, he feels it’s not currently possible to limit the intentions and goals of an A.I. that inevitably becomes smarter than humans.  Hinton remains a researcher and no longer has a financial stake in the success of A.I., so he is perhaps franker about the downsides of the A.I. revolution that Sam Altman and other tech moguls.  He agrees that it’s “not unreasonable” for a layperson to wish that A.I. would simply go away, “but it’s not going to happen. … It’s just so useful, so much opportunity to do good.” What should we do? Rothman asks him. “I don’t know. Smart young people,” Hinton hopes, “should be thinking about, is it possible to prevent [A.I.] from ever wanting to take over.” 

Rothman’s Profile of Geoffrey Hinton appears in a special issue of The New Yorker about artificial intelligence.  

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This is the political scene, and I'm David Remnick.

1:16.6

So the way the brain works is this.

1:22.6

Neurons get inputs, and if they get enough input, they go ping.

1:32.0

And the input to a neuron either comes from the senses, but for most neurons, it's input from other neurons. And so a neurons receiving these ping from other neurons...

1:36.2

Jeffrey Hinton has been thinking about how brains work for a very long time.

1:41.4

Hinton is a computer scientist who's been called the godfather of artificial intelligence,

1:45.8

AI. For decades, he worked on building computers that would work in a way analogous to the human

1:52.4

brain itself. It's an approach known as neural networks. This was an obscure and seemingly fruitless

1:59.3

effort for a long while, but eventually it paid off beyond anybody's imagination.

2:05.2

That work on neural networks led to incredibly intricate machines like Dolly, which will take your prompts and make you a beautiful picture.

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