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WSJ Tech News Briefing

How Quantum Computing Could Threaten Bitcoin’s Future

WSJ Tech News Briefing

The Wall Street Journal

News, Tech News

4.61.6K Ratings

🗓️ 7 January 2025

⏱️ 12 minutes

🧾️ Download transcript

Summary

Bitcoin is on a tear, and topped $101,000 per coin on Monday. So why are some researchers worried that an emerging technology could stop the Bitcoin rally? WSJ reporter Alexander Osipovich joins host James Rundle to talk about how quantum computing, which promises unparalleled calculation power, has the potential to break the encryption fundamental to cryptocurrency and enable theft on a global scale. Plus, how generative artificial intelligence could lead to more robots in more places. Sign up for the WSJ's free Technology newsletter. Learn more about your ad choices. Visit megaphone.fm/adchoices

Transcript

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0:00.0

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0:33.8

Welcome to Tech News Briefing. It's Tuesday, January the 7th. I'm James Rundle for the Wall Street Journal.

0:40.7

Generative artificial intelligence is supercharging robots. We'll hear why advancements in AI

0:46.0

mean you might just start seeing robots appear everywhere from the grocery store to the hospital ward.

0:51.0

And then quantum computing holds enormous promise for solving some of the world's most difficult

0:55.5

problems, but it could also break some of its strongest protections, particularly in cryptocurrency.

1:01.5

Our reporter Alexander Ozzavovich joins us to discuss.

1:08.1

But first, generative AI is everywhere, from computer arts to corporate chatbots.

1:13.7

But where it might have one very visible impact is in the way robots will start to creep into our everyday lives.

1:19.9

Once the stuff of science fiction, researchers are now looking at how AI can help power robots that stock shelves and supermarkets,

1:26.9

cut vegetables and kitchens,

1:28.4

and even deliver prescriptions in hospitals. WSJ reporter Isabel Biscette joined Cordelia James

1:34.4

to talk about the rise of the robots. Here's their conversation.

1:38.5

Isabel, how do these robots work traditionally and how might generative AI give them a boost?

1:45.2

Yeah, so traditionally we think about robots as needing to operate in really structured environments.

1:51.6

They're trained to do narrow and specific set of tasks.

1:57.2

And they have to do those tasks in an environment that they're familiar with. they've been trained on, and they really run into a lot of problems when the environment they're in or the world they're in is not exactly what they were trained to expect.

2:11.4

And in the normal human world that we operate in, we know that's always the case. Not every door opens the same way.

...

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