WEBVTT - Navigating the Future of Artificial Intelligence

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<v Speaker 1>You're listening to Bloomberg Business Week with Carol Messer and

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<v Speaker 1>Bloomberg Quick Takes Tim Stenovik on Bloomberg Radio.

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<v Speaker 2>Well, there was a story on the Bloomberg Today was

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<v Speaker 2>an analyst at with a note saying nothing is AI proof,

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<v Speaker 2>but live sports may come close. And basically they're saying

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<v Speaker 2>maybe sports as an asset and sports rights or something

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<v Speaker 2>that maybe's protected from Ah.

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<v Speaker 3>Well, absolutely, I mean continuing to appreciate. One of the

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<v Speaker 3>most read stories was about a Sydney, Australia based fund

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<v Speaker 3>manager who said, I'm not going to buy you know,

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<v Speaker 3>nvideo and the chip makers of the data center operators,

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<v Speaker 3>but I'm going to buy stuff that can't be broken

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<v Speaker 3>by AI right. And he said it's a very small field.

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<v Speaker 3>There's there's few things, you know, but there are things

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<v Speaker 3>out there, all right.

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<v Speaker 2>So we are so obsessed with AI right and how

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<v Speaker 2>it's going to impact our world. So joining us to

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<v Speaker 2>talk a little bit about it. From Menlo Park on

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<v Speaker 2>Zoom is Bob Muglia. He's former CEO of Snowflake, the

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<v Speaker 2>global infrastructure software company. He was there from twenty fourteen

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<v Speaker 2>to twelve nine. Before that at Juniper Networks and then

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<v Speaker 2>a Microsoft divisional president back in nine. He is a

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<v Speaker 2>board director for a lot of companies, board memberships on Microsoft, Snowflake, Relation,

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<v Speaker 2>AI and a few more. He's got a new book out.

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<v Speaker 2>It's called The Data Datapreneurs, The Promise of AI and

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<v Speaker 2>the Creators building our Future. And I apologize, Bob, I've

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<v Speaker 2>had a hard time getting out. It's basically a play

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<v Speaker 2>on data entrepreneurs. And I love the title. Welcome, Welcome,

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<v Speaker 2>How are you good?

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<v Speaker 1>I'm good. It's glad to be here down the Bayer

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<v Speaker 1>this week, so it's fun. I'm normally up in Seattle,

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<v Speaker 1>but I'm down the Beyer this week, so that's great.

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<v Speaker 2>Are they talking a lot about AI in.

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<v Speaker 1>The Bay Area? That's all they talk about down here?

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<v Speaker 3>Well?

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<v Speaker 1>Rightfully?

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<v Speaker 2>So from your vantage point, should we all be talking

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<v Speaker 2>about AI? And how should we be talking about it?

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<v Speaker 2>And of course I'm talking about machine learning, generative AI,

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<v Speaker 2>kind of the next level, if you will.

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<v Speaker 1>Well, I think it really has hit the vernacular of

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<v Speaker 1>common people and it's become part of everyday lives with

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<v Speaker 1>tools like jack GPT, and it's really just the beginning.

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<v Speaker 1>I mean, this is going to affect us in a

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<v Speaker 1>very deep way. I think we're going to see all

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<v Speaker 1>sorts of wondrous things coming in the next couple of years.

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<v Speaker 1>These assistants are copilots that are going to help us

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<v Speaker 1>in a whole bunch of ways. Just about every application

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<v Speaker 1>is going to be updated big, big time, lots of

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<v Speaker 1>change in technology. It's the biggest thing I've ever seen

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<v Speaker 1>in my career, actually.

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<v Speaker 3>So, I mean, it's absolutely huge, and the co pilots

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<v Speaker 3>are one of the things I'm most excited about for Microsoft.

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<v Speaker 3>Do you think there's a killer app that we haven't

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<v Speaker 3>seen yet or are there just so many uses that

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<v Speaker 3>it will be hard to pin one down.

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<v Speaker 1>Well, honestly, one of the killer apps is going to

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<v Speaker 1>be searched, for sure, and you know we have an

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<v Speaker 1>opportunity to see search truly reinvented with these answer bots

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<v Speaker 1>that are being created. Bing was one of the first ones.

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<v Speaker 1>There's a number of others out I have an investment

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<v Speaker 1>in a small company called Perplexity that's in that space.

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<v Speaker 1>But it's really the first time you've been able to

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<v Speaker 1>take on Google, I'll say that for sure. I think

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<v Speaker 1>the office is going to be tremendously updated. Really, just

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<v Speaker 1>about every application is going to up be updated. I

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<v Speaker 1>saw Salesforce made some major announcements a week or two ago.

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<v Speaker 1>You're going to see just about every application updated. And

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<v Speaker 1>you know company I ran for five years, Snowflake, is

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<v Speaker 1>going to be making major announcements next week. Lots of

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<v Speaker 1>stuff happening. So, yes, lots of apps. I don't know

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<v Speaker 1>if it's any one app. I think it's many apps

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<v Speaker 1>that'll be that'll be will be killer apps.

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<v Speaker 2>But Bob Bloomberg Business recovering in a story about Reddit,

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<v Speaker 2>and basically it gets to a bigger question about who

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<v Speaker 2>owns the data that is going to help make generative

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<v Speaker 2>AI smarter? Right, that's crucial. What's your view on that.

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<v Speaker 1>Well, there's an awful lot of data out there, and

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<v Speaker 1>one of the things that that people are learning about

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<v Speaker 1>with these generative AIS and these these machine learning programs

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<v Speaker 1>is the quality of the data really matters. So I

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<v Speaker 1>think you're going to see corporate data becoming very important,

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<v Speaker 1>proprietary data becoming important assets that people are using. You know,

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<v Speaker 1>public forms like Reddit and and lots of public forms

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<v Speaker 1>that are out there. Those are all that's data that

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<v Speaker 1>people are using. They may try and monetize it in

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<v Speaker 1>some ways. I think you see you'll see people starting

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<v Speaker 1>to do that if people have sources of public data.

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<v Speaker 1>But in general, people are going to be using their

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<v Speaker 1>data as a way of generating proprietary information. And what

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<v Speaker 1>we haven't seen yet is this really break into the enterprise.

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<v Speaker 1>And that's a tremendous opportunity over the next couple of years.

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<v Speaker 2>Does this generative AI make different social media platforms more

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<v Speaker 2>important than before? In other words, we were talking about

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<v Speaker 2>kind of who's the top right place, right Matt in

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<v Speaker 2>terms of social media? Does it kind of upend the hierarchy?

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<v Speaker 1>If you will? It probably will over time. I mean,

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<v Speaker 1>it's hard to say. It's hard to say. As I said,

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<v Speaker 1>you know, I can see for the first time, you know,

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<v Speaker 1>applications like search which have the opportunity to be disrupted,

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<v Speaker 1>and I think social media will be different because you're

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<v Speaker 1>going to want to have AI summarize things for you.

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<v Speaker 1>One of the challenges with social media there's so much

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<v Speaker 1>garbage on it. It'd be nice to have a bot

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<v Speaker 1>be able to say what's interesting in that that happened today,

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<v Speaker 1>And so perhaps the media company that does the best

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<v Speaker 1>job of that may wind up in the best position.

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<v Speaker 1>But we'll have to see to find out.

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<v Speaker 3>I mean, Carol, how many emails do you get every day?

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<v Speaker 2>Too many? I don't even read them literally, And.

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<v Speaker 3>If I could have, I'm constantly typing eight nine go,

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<v Speaker 3>eight nine go, which is spam and delete on the.

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<v Speaker 2>Bloomberg, I don't even I don't even delete anymore because

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<v Speaker 2>it would take so much time.

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<v Speaker 3>It would be great if AI. That's one area in

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<v Speaker 3>which I can't wait for AI. The one thing I

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<v Speaker 3>bristlet a little bit, Bob, is when when Carol says

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<v Speaker 3>make it smarter, I mean, it's not really getting smarter, right,

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<v Speaker 3>that's a term that you use for a human and

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<v Speaker 3>I think we.

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<v Speaker 2>But it is becoming right, it's the use of it's different.

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<v Speaker 1>It's the right word, the right word. Well, what do

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<v Speaker 1>you do?

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<v Speaker 3>You share the concerns voiced by people like Musk and

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<v Speaker 3>uh you know open Ai, sam Altman about you know,

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<v Speaker 3>somehow this program becoming smart enough to subjugate humanity like

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<v Speaker 3>that seems to me to be a ridiculous and b

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<v Speaker 3>kind of takes the responsibility away from the companies that

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<v Speaker 3>are running these programs.

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<v Speaker 1>Well, you know, we've as we've all grown up, we've

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<v Speaker 1>been seen many dystopian science fiction things, Terminator being perhaps

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<v Speaker 1>one of the most the most accomplished of all of those.

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<v Speaker 1>I don't I don't know how you can you can

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<v Speaker 1>be much worse than Terminator was to humanity. So there's

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<v Speaker 1>a lot of there's a lot of of of literature

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<v Speaker 1>and science fiction that goes into this. You know, in

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<v Speaker 1>the short run, the real concerns are what people will

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<v Speaker 1>do with AI. And people are going to do everything

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<v Speaker 1>with AI, good, bad, and evil, and.

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<v Speaker 2>As they do with social media, right, like they do with.

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<v Speaker 1>Social media exactly, and and and AI can do some

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<v Speaker 1>things faster than humans can, so there may be some

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<v Speaker 1>new challenges, but it also can help to fight against

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<v Speaker 1>those challenges too, And so you know, we'll see AI

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<v Speaker 1>defending us against bad AI, good AI defending us against

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<v Speaker 1>bad EI. In the short term, you know, the long

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<v Speaker 1>term concerns about about existential issues about humanity are really

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<v Speaker 1>about what will this intelligence get smarter than all of

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<v Speaker 1>us and then become rogue and go against us. Now, honestly,

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<v Speaker 1>I do think it's going to get smarter than all

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<v Speaker 1>of us. It's on a path to basically be able

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<v Speaker 1>to take the ideas and the intelligence of everybody in

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<v Speaker 1>humanity and to put a lot of that together into

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<v Speaker 1>a system that can be immediately trained and replicated and

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<v Speaker 1>grow and things. So there is a lot of opportunity

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<v Speaker 1>for this stuff to get smarter. But ultimately we will

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<v Speaker 1>be creating whatever it is. And I've always been a

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<v Speaker 1>believer that values will reign supreme in the end, and

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<v Speaker 1>that while humanity does many things wrong, ultimately we come up.

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<v Speaker 1>We never really screw it up that badly, and ultimately

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<v Speaker 1>we'll make the right things happen. I think AI is

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<v Speaker 1>going to do great things for all of us in

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<v Speaker 1>the short and medium term and in the long term.

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<v Speaker 1>Who knows what will happen. But I still have a

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<v Speaker 1>very positive outlook. I'm definitely a techno optimist.

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<v Speaker 3>I love your optimism, Bob. We need more of that,

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<v Speaker 3>Let's get more.

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<v Speaker 1>I also think it's it's important. Yeah, it's all about people.

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<v Speaker 1>I mean, ultimately, the thing to realize is these these

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<v Speaker 1>tools are being created by people, and we will do

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<v Speaker 1>to it what we do with everything, And like I say,

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<v Speaker 1>lots of great things and maybe some bad things too,

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<v Speaker 1>but we'll we'll figure out how to control it and

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<v Speaker 1>make it work.

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<v Speaker 2>I think about healthcare like the ability because healthcare is

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<v Speaker 2>far from even as we know. It's an old story unfortunately,

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<v Speaker 2>But I think about the possibility if you've got something

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<v Speaker 2>and there's no way the medical community can keep up

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<v Speaker 2>with all the research that's out there, and so the

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<v Speaker 2>ability to somehow use AI to figure out, Wait, what's

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<v Speaker 2>your you know, ailment and your the nuances to it?

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<v Speaker 2>And then here's the reason. I don't know.

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<v Speaker 3>I just think it's so dangerous at first. Do you

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<v Speaker 3>ever get a little bit sick of go on WebMD?

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<v Speaker 3>Then like all of a sudden, you're dying.

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<v Speaker 2>But that's not as smart as it could be, right

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<v Speaker 2>bub Yeah, web.

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<v Speaker 1>Md is Unfortunately, you go, you go on the web

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<v Speaker 1>and you don't know, you know, you really know what

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<v Speaker 1>you're looking for, and you see all sorts of nasty things.

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<v Speaker 1>I'm dying.

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<v Speaker 2>I'm always dying, to be quite honest.

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<v Speaker 1>Talk about these co pilots. Think about it. Think about

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<v Speaker 1>a physician's assistant copilot right that has access to all

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<v Speaker 1>the latest medical research and can look at a scan,

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<v Speaker 1>for example, and compare it to millions of other scans

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<v Speaker 1>that have been done, and really, do you know, find

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<v Speaker 1>things that people wouldn't be able to find? These co

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<v Speaker 1>pilots are going to be incredibly helpful in medicine. It's

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<v Speaker 1>one of the areas where we'll see some of the

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<v Speaker 1>biggest advancements in the next five years.

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<v Speaker 2>I'm going to have a co pilot here in the studio,

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<v Speaker 2>mat Me. As much as I love you, I'm going

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<v Speaker 2>to have a co pilot, and IM just.

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<v Speaker 1>Going to tell you deserve one.

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<v Speaker 2>He won't be as you know, entertaining probably or whatever.

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<v Speaker 2>Still with us is Bob Mugley. He's former CEO of Snowflake,

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<v Speaker 2>also at Juniper Networks Microsoft. He's got a new book

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<v Speaker 2>ass called The Datapreneurs, The Promise of AI and the

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<v Speaker 2>Creators Building Our Future. Still with us on Zoom from

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<v Speaker 2>Menlo Park, California. And I promise, I bet if we

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<v Speaker 2>have AI to revenge, they can say this titles, so

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<v Speaker 2>forgive me. I do think it's interesting though, about the

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<v Speaker 2>data entrepreneur that are out there kind of figuring this out.

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<v Speaker 2>Bob right now, and I feel like your vantage point

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<v Speaker 2>and having worked with some visionaries very early on, likea

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<v Speaker 2>Bill Gates or even a Sam Altman, who is now

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<v Speaker 2>increasingly because of Open AI become a household name. Take

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<v Speaker 2>us back there, though, to maybe give us some insight

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<v Speaker 2>of what that era was like, as we feel like

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<v Speaker 2>we are embarking on a whole new kind of data era.

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<v Speaker 1>Yeah. Well, the book The Datapreneurs is really about the

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<v Speaker 1>entrepreneurs I've known that have made the data industry and

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<v Speaker 1>today AI what it is. And the basic theory is

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<v Speaker 1>that there's an arc of innovation that that has occurred

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<v Speaker 1>really since the advent of digital computing, with continued new improvements,

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<v Speaker 1>new technologies that have happened over time that have been

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<v Speaker 1>advanced by these incredible people, and that has brought us

0:10:53.080 --> 0:10:55.080
<v Speaker 1>to where we are today. And it has been this

0:10:55.160 --> 0:10:58.959
<v Speaker 1>series of progressions. Back in the late eighties early nineteen

0:10:59.040 --> 0:11:02.120
<v Speaker 1>nineties I worked very closely with Steve Steve Balmer and

0:11:02.120 --> 0:11:06.640
<v Speaker 1>Bill Gates in the work on Windows, and back then

0:11:06.720 --> 0:11:10.280
<v Speaker 1>there was a focus on something called information at your Fingertips.

0:11:10.280 --> 0:11:12.520
<v Speaker 1>This was a vision Bill had come up with about

0:11:12.520 --> 0:11:15.160
<v Speaker 1>how we would be able to find any information we

0:11:15.200 --> 0:11:17.760
<v Speaker 1>wanted by just going to our PC and asking and

0:11:17.800 --> 0:11:20.560
<v Speaker 1>running a query and asking a question if it really is.

0:11:20.600 --> 0:11:24.040
<v Speaker 1>Back then, most people didn't even have email. Email was

0:11:24.200 --> 0:11:27.480
<v Speaker 1>relatively new back then, the Internet had yet to be invented,

0:11:28.720 --> 0:11:31.440
<v Speaker 1>and So this was a pretty novel concept. And while

0:11:31.480 --> 0:11:35.120
<v Speaker 1>it didn't pan out the way Bill had anticipated it being,

0:11:35.160 --> 0:11:38.680
<v Speaker 1>which was really a desktop centric, Windows centric view of

0:11:38.720 --> 0:11:43.160
<v Speaker 1>the world, the Internet really changed that and really brought

0:11:43.240 --> 0:11:46.000
<v Speaker 1>us information at your fingertips in every way we could

0:11:46.040 --> 0:11:49.120
<v Speaker 1>have ever imagined. And now we have this incredible amount

0:11:49.160 --> 0:11:52.080
<v Speaker 1>of information available to us, and in some senses, the

0:11:52.200 --> 0:11:54.760
<v Speaker 1>largest problem we have is it's too much for us

0:11:54.800 --> 0:11:57.839
<v Speaker 1>to digest and to really make sense of. And that's

0:11:57.840 --> 0:11:59.599
<v Speaker 1>where AI can really help us, because it can go

0:11:59.640 --> 0:12:02.560
<v Speaker 1>through a lot of that that data and turn it

0:12:02.600 --> 0:12:05.480
<v Speaker 1>into information that is useful for us and and and

0:12:05.480 --> 0:12:08.680
<v Speaker 1>and much much easier for us to consume. So it's

0:12:08.679 --> 0:12:11.600
<v Speaker 1>been a it's been an ongoing trajectory. The world was

0:12:11.679 --> 0:12:14.760
<v Speaker 1>very different back then. Uh, you know, I've often made

0:12:14.800 --> 0:12:17.199
<v Speaker 1>the comment that I saw you know, I saw Microsoft

0:12:17.480 --> 0:12:20.520
<v Speaker 1>from a from a bird's eye vantage point and got

0:12:20.520 --> 0:12:23.000
<v Speaker 1>a chance to see it all. I've often said I

0:12:23.040 --> 0:12:26.640
<v Speaker 1>saw the good, the bad, and the ugly at Microsoft.

0:12:27.240 --> 0:12:31.640
<v Speaker 1>I was one of the twelve witnesses who was in

0:12:31.640 --> 0:12:34.600
<v Speaker 1>front of Judge Jackson in the DJ case and David Boyce,

0:12:34.640 --> 0:12:37.600
<v Speaker 1>and that certainly would qualify as the ugly in my opinion.

0:12:38.679 --> 0:12:40.800
<v Speaker 1>But h and then I did penance on that for

0:12:40.840 --> 0:12:43.120
<v Speaker 1>a couple of years afterwards, when when I kept going

0:12:43.160 --> 0:12:46.160
<v Speaker 1>back to the Washington d C to clean up some

0:12:46.280 --> 0:12:49.600
<v Speaker 1>of the last issues we had with protocol documentation on

0:12:49.679 --> 0:12:52.320
<v Speaker 1>the DJ So I lived through all of that back then.

0:12:52.880 --> 0:12:55.160
<v Speaker 2>What is there going to be a penance, if you will,

0:12:55.840 --> 0:12:57.920
<v Speaker 2>or a similar tough time when it comes to AI.

0:12:58.240 --> 0:13:00.559
<v Speaker 2>Is there going to have to be a very significant

0:13:00.600 --> 0:13:02.400
<v Speaker 2>role by regulators in your view?

0:13:03.400 --> 0:13:05.160
<v Speaker 1>Well, first of all, let me start by saying that

0:13:05.160 --> 0:13:08.000
<v Speaker 1>that you know, the Microsoft case really created a lot

0:13:08.040 --> 0:13:10.880
<v Speaker 1>of law and and and I think all the industry

0:13:10.880 --> 0:13:13.200
<v Speaker 1>as a whole has learned a tremendous amount from the

0:13:13.240 --> 0:13:16.400
<v Speaker 1>mistakes we made way back when, so they can avoid

0:13:16.440 --> 0:13:19.000
<v Speaker 1>a lot of the challenges that we went through. You know,

0:13:19.040 --> 0:13:21.680
<v Speaker 1>in terms of regulations for AI, there certainly will be

0:13:21.760 --> 0:13:25.400
<v Speaker 1>some I think understanding what needs to be regulated is

0:13:25.440 --> 0:13:29.040
<v Speaker 1>something that's still being considered. I think that there are

0:13:29.080 --> 0:13:33.360
<v Speaker 1>areas where people taking AI and doing things with it

0:13:33.480 --> 0:13:35.400
<v Speaker 1>that you know that are that are that that like

0:13:35.520 --> 0:13:38.200
<v Speaker 1>deep fakes as an example, there may need to be

0:13:38.280 --> 0:13:41.480
<v Speaker 1>some new laws associated with that, because if I understand

0:13:41.480 --> 0:13:45.000
<v Speaker 1>correctly the laws that we have today don't necessarily fully

0:13:45.040 --> 0:13:49.160
<v Speaker 1>cover the idea of somebody creating a complete image, a

0:13:49.160 --> 0:13:52.000
<v Speaker 1>complete like image of a person and then having that

0:13:52.320 --> 0:13:55.240
<v Speaker 1>image saying things that are just not true and clearly

0:13:55.280 --> 0:13:57.080
<v Speaker 1>that that can't be allowed and we need to make

0:13:57.120 --> 0:13:59.320
<v Speaker 1>sure that things like that are not permitted. So the

0:13:59.400 --> 0:14:03.040
<v Speaker 1>laws will get updated somewhat. But actually most of the

0:14:03.080 --> 0:14:07.360
<v Speaker 1>existing laws can be applied because people are behind these things.

0:14:07.360 --> 0:14:09.880
<v Speaker 1>And if you can, if you can take it, look.

0:14:09.800 --> 0:14:11.800
<v Speaker 2>That what happened with crypto right like it got met,

0:14:11.840 --> 0:14:13.120
<v Speaker 2>it's gotten messy.

0:14:14.520 --> 0:14:16.200
<v Speaker 1>Crypto is messy to begin with.

0:14:16.320 --> 0:14:19.200
<v Speaker 2>Though it's true, that's true. That's but do you feel

0:14:19.240 --> 0:14:20.760
<v Speaker 2>like you know what I'm saying that it feels like

0:14:20.800 --> 0:14:24.240
<v Speaker 2>there was quite a lag in terms of regulatory oversight.

0:14:25.600 --> 0:14:28.360
<v Speaker 1>Well, there always is going to be a lagged. There's

0:14:28.360 --> 0:14:30.480
<v Speaker 1>always going to be a laged because technology will move

0:14:30.520 --> 0:14:33.080
<v Speaker 1>faster than the government can ever move. And so we

0:14:33.280 --> 0:14:36.320
<v Speaker 1>you know, we discover you know, the Sam Bankman freeds

0:14:36.360 --> 0:14:38.720
<v Speaker 1>that happened. You know, that's that is something that that

0:14:38.760 --> 0:14:41.520
<v Speaker 1>perhaps could have been caught. But now I think people

0:14:41.560 --> 0:14:45.560
<v Speaker 1>have a clean, a keen eye to look for things

0:14:45.600 --> 0:14:45.920
<v Speaker 1>like that.

0:14:46.480 --> 0:14:49.400
<v Speaker 2>So I am curious. You're the kind of person that

0:14:49.440 --> 0:14:51.640
<v Speaker 2>if I was going from New York to the West Coast,

0:14:51.680 --> 0:14:53.800
<v Speaker 2>I'd love to be sitting on a plane with because

0:14:53.800 --> 0:14:56.000
<v Speaker 2>I would pick your brain and probably drive you crazy.

0:14:56.720 --> 0:14:59.800
<v Speaker 2>But having said that, what is when people know your background?

0:15:00.040 --> 0:15:02.720
<v Speaker 2>What is the question that they ask you most? When

0:15:02.720 --> 0:15:05.520
<v Speaker 2>it comes to our new world and our obsession. It

0:15:05.520 --> 0:15:07.760
<v Speaker 2>feels like it almost euphoria when it comes to AI.

0:15:07.880 --> 0:15:10.520
<v Speaker 2>What's the smart conversation too that we should be having?

0:15:11.080 --> 0:15:14.040
<v Speaker 1>Well, I think the interesting question is that I keep

0:15:14.080 --> 0:15:16.600
<v Speaker 1>hearing is what are the new innovations that are going

0:15:16.640 --> 0:15:19.600
<v Speaker 1>to come about? What are the areas where applications are

0:15:19.600 --> 0:15:22.320
<v Speaker 1>going to be transformed, and how is the technology going

0:15:22.360 --> 0:15:24.760
<v Speaker 1>to transform it. One of the things we've learned in

0:15:24.800 --> 0:15:27.680
<v Speaker 1>the last few months, which frankly wasn't clear in December

0:15:27.760 --> 0:15:30.840
<v Speaker 1>or January, is that that this AI is going to

0:15:30.880 --> 0:15:35.160
<v Speaker 1>be available to just about everyone at effectively zero cost you.

0:15:35.280 --> 0:15:38.520
<v Speaker 1>It'll be advertising based in some ways, and services will

0:15:38.560 --> 0:15:42.000
<v Speaker 1>come out that are available to consumers as a whole.

0:15:42.480 --> 0:15:46.600
<v Speaker 1>And I think that you're going to have these services

0:15:47.280 --> 0:15:51.000
<v Speaker 1>available to people really in all socioeconomic brackets. That's one

0:15:51.040 --> 0:15:53.400
<v Speaker 1>area where it was not obvious a few months ago,

0:15:53.480 --> 0:15:55.840
<v Speaker 1>and now it does seem to be clear. We've seen

0:15:55.880 --> 0:16:01.720
<v Speaker 1>an incredible explosion of development of new open source technology,

0:16:02.200 --> 0:16:06.320
<v Speaker 1>so it's not just coming from the big boys. There

0:16:06.360 --> 0:16:08.640
<v Speaker 1>was an initial thought that you had to have spent

0:16:09.480 --> 0:16:11.680
<v Speaker 1>tens or hundreds of millions of dollars to build these

0:16:12.200 --> 0:16:16.080
<v Speaker 1>these models. That is certainly still true. But what's happening

0:16:16.200 --> 0:16:19.040
<v Speaker 1>is is that open source models are appearing that have

0:16:19.120 --> 0:16:22.760
<v Speaker 1>a lot of that work already done that can then

0:16:22.880 --> 0:16:25.640
<v Speaker 1>be customized. So the interesting question is where are these

0:16:25.640 --> 0:16:27.000
<v Speaker 1>things are going to make a difference in the next

0:16:27.000 --> 0:16:29.040
<v Speaker 1>few years. And I think you know you're going to

0:16:29.040 --> 0:16:32.640
<v Speaker 1>see it in just about every application, and it's not

0:16:32.880 --> 0:16:36.000
<v Speaker 1>just technology coming from Google and open AI and Microsoft

0:16:36.040 --> 0:16:36.840
<v Speaker 1>that'll make it happen.

0:16:36.920 --> 0:16:40.400
<v Speaker 2>Love this, come back anytime and open invitation, no doubt

0:16:40.400 --> 0:16:42.600
<v Speaker 2>about it. Really appreciate it and good luck with the book.

0:16:42.840 --> 0:16:46.120
<v Speaker 2>Bob Muglia. He is the former CEO of Snowflake. As

0:16:46.160 --> 0:16:49.160
<v Speaker 2>we said, the datapreneurs, the promise of AI and the

0:16:49.200 --> 0:16:51.800
<v Speaker 2>creators building our future. It's a new book, it's out.

0:16:51.880 --> 0:16:54.320
<v Speaker 2>Check it out, so relevant to what's going on right now.

0:16:54.360 --> 0:16:56.960
<v Speaker 2>On zoom from Menlo Park, California. Bob again, thank you

0:16:57.000 --> 0:17:00.240
<v Speaker 2>so much. You're listening to Bloomberg BusinessWeek, watching us as well.

0:17:00.560 --> 0:17:02.960
<v Speaker 2>I'm Carol Masser along with Matt Miller, and this is

0:17:03.000 --> 0:17:03.800
<v Speaker 2>Bloomberg Radio.

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<v Speaker 1>M