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The State of the AI Arms Race

Motley Fool Money

The Motley Fool

Business, Investing

4.43K Ratings

🗓️ 31 August 2024

⏱️ 31 minutes

🧾️ Download transcript

Summary

When ChatGPT launched in late 2022, it was the first – and only – exposure most of the world had to AI. Not yet two years later, there’s already a lot more competition. Jeremy Kahn is the AI Editor at Fortune Magazine and the author of the new book, “Mastering AI: A Survival Guide to our Superpowered Future.” Alex Friedman caught up with Kahn to talk about the current AI landscape. They also discuss: Bill Gates’ initial hesitancy to invest in OpenAI. Where LLMs go from here. Developments in biotech. Host: Alex Friedman Guest: Jeremy Kahn Producer: Mary Long Engineer: Dez Jones Learn more about your ad choices. Visit megaphone.fm/adchoices

Transcript

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0:00.0

You know what is it the human does best and what is it the machine can do best and you know let's let's let each

0:07.2

Be sort of preeminent in its own own realm and pair the two together I think if we think about it more like that

0:14.8

Then we are able to kind of master AI and we will be able to kind of reap the rewards of the technology while minimizing

0:20.2

a lot of the downside risks. I'm Mary Long and that's Jeremy Khan. He's the AI editor at Fortune magazine and the author of the new book Mastering AI, a survival guide to our super-powered future.

0:43.9

My colleague Alex Friedman caught up with Khan earlier this week to discuss the current state

0:48.6

of the AI arms race and to take a look to the future.

0:52.2

They also talk about what convinced Bill Gates

0:54.5

to move forward with Microsoft's initial open AI investment,

0:58.5

how LLMs are being used to shorten clinical trials,

1:01.9

and the changing relationship between man and machine. So you are the Fortune magazine AI writer and editor and you were a tech reporter

1:16.7

before this.

1:17.7

At what point did you first hear the term artificial intelligence and when did you really

1:22.4

start taking it seriously?

1:23.7

I guess I first heard the term probably sometime in 2015 even before I had become a tech reporter at Bloomberg, I was doing some finance coverage and working for a magazine Bloomberg had that I was doing a story about London's little tech hub, kind of emerging tech hub.

1:44.3

And at the time, people said the most successful exit,

1:48.0

but in some ways the most disappointing exit

1:49.6

from the London tech scene was this company

1:51.4

called Deep Mind, which I knew very little about, but it had just

1:54.0

been acquired a couple years before by Google for $650 million, which was the

1:59.8

best exit that the London Tech Hub had had at the time, but people were upset because they thought that this could actually potentially be, you know, a huge future company and they thought maybe it sold out too early.

2:11.0

I didn't know anything about Deep Mind, but I started to look into it and that's when I first sort of heard about

2:16.4

artificial intelligence and then a few months after writing that story I got a chance to move over to the

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