WEBVTT - OpenAI Targeted in Complaint and Nasdaq's Rally

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<v Speaker 1>From hard where Innovation, money and power Collie in Silicon Valley, NBR.

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<v Speaker 1>This is Bloomberg Technology with Caroline Hide and Ed Ludlove.

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<v Speaker 1>Ed Love o here in San Francisco. Caroline Hide is

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<v Speaker 1>off this week. This is Bloomberg Technology coming up Open

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<v Speaker 1>AI targeted in a complaint to the FTC demanding a

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<v Speaker 1>halt to further deployment of generative AI technology. Will Speaks,

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<v Speaker 1>one of the signatories who called for the original pause

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<v Speaker 1>of further jack GPT rollouts. In just a few moments

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<v Speaker 1>time and the bulls are back full market coverage ahead.

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<v Speaker 1>Is the tech sector leads the way? Then? Has that

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<v Speaker 1>one hundred heading for its second best quarter of the decade.

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<v Speaker 1>How does that translate to private markets? Plus conversations spanning cybersecurity, venture, cabital,

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<v Speaker 1>the metaverse and beyond. We'll bring you the inside from

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<v Speaker 1>the c suite for all the latest and all corners

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<v Speaker 1>for the technology sector. Let's get your markets. We're moving

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<v Speaker 1>away from jitters around the banking sector, the FED firmly

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<v Speaker 1>and focus. There's this kind of growing feeling that the

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<v Speaker 1>rate heights cycle is coming to an end. You look

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<v Speaker 1>at them as that one hundred up eight tenths of

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<v Speaker 1>one percent, but outperforming the broader market. Continued out performance

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<v Speaker 1>as semiconductors, but also the US listed chairs of Chinese technology.

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<v Speaker 1>Little action in the bond market, kind of muted trading,

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<v Speaker 1>but you look at the short end of the curve,

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<v Speaker 1>the US two year at four point one percent. We're

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<v Speaker 1>talking a lot about yield curve inversion of what that

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<v Speaker 1>signals for a potential recession, but that is where the

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<v Speaker 1>muted actions at at that short end of the curve.

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<v Speaker 1>This is where we are the last few days of March,

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<v Speaker 1>the last few days of the quarter, and then as

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<v Speaker 1>that one hundred is kind of heading for its best quarter,

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<v Speaker 1>second best quarter in the last decade, we're looking for

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<v Speaker 1>signals in the trajectory of rates still, but also thinking

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<v Speaker 1>about the Fed's balance sheet and what they're doing in

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<v Speaker 1>terms of easing and how it's impacted the technology sector evaluations.

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<v Speaker 1>That's the Matt grow picture. Hey with the micro out

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<v Speaker 1>in New York Bloombos. Katy Gryfeld, Hey, Katie, Hey, ed Well,

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<v Speaker 1>I want to start with bitcoin just for fun, because

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<v Speaker 1>that's been one of the big stories this year, is

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<v Speaker 1>this big bounce back that we've seen in the crypto

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<v Speaker 1>space as a whole, led by Bitcoin, as you can

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<v Speaker 1>see up year to date by more than seventy percent,

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<v Speaker 1>and it's a real choose your own narrative. The true

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<v Speaker 1>believers would tell you what we're seeing in the banking

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<v Speaker 1>sector that just proves the promise of crypto and why

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<v Speaker 1>you want to be in it. Maybe a more salable

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<v Speaker 1>narrative would be what you're just talking about, what we're

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<v Speaker 1>seeing with tech shares and a potential pivot coming from

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<v Speaker 1>the FED. But in any case, Bitcoin up by seventy

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<v Speaker 1>one percent year to day. Let's go back to reality, though,

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<v Speaker 1>and talk about some of those single stock names, bed

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<v Speaker 1>Bath and beyond. One of the stories today, the company

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<v Speaker 1>filed to sell as much as three hundred million dollars

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<v Speaker 1>worth of shares, has also came out with some preliminary

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<v Speaker 1>sales figures that disappointed in a big way. You can

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<v Speaker 1>see shares off by more than nineteen person. Moving on

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<v Speaker 1>Ali Bob, of course, the news from earlier this week

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<v Speaker 1>is that it's going to split the Empire into six units.

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<v Speaker 1>The news today, according to people familiar with the matter,

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<v Speaker 1>is that its logistics arm is exploring a Hong Kong

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<v Speaker 1>ipo that could come as soon as the end of

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<v Speaker 1>this year, and JD dot Com maybe following suit. Two

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<v Speaker 1>of its subsidiaries also potentially exploring a Hong Kong listed ipis.

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<v Speaker 1>You can see JD dot Com up about nine and

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<v Speaker 1>a half percent or so and C three AI at

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<v Speaker 1>This is interesting. Even with all the headlines around AI

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<v Speaker 1>that I know you've been following very closely, AI stocks

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<v Speaker 1>not really feeling the heat yet. This stock in particular

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<v Speaker 1>up about three points seven percent. Yeah, I think you know.

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<v Speaker 1>The availability of capital, the energy from investors in this

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<v Speaker 1>space is ongoing despite what's happening behind the scenes. Speaking

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<v Speaker 1>of a prominent tech ethics group filed a complaint on

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<v Speaker 1>Thursday with the US Federal Trade Commission urging the regulator

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<v Speaker 1>to halt further commercial deployments of the next generations of

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<v Speaker 1>AI technology that power popular tools like chat GPT. The

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<v Speaker 1>Center for Artificial Intelligence and Digital Policy ask the FTTC

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<v Speaker 1>to open an investigation into open AI to determine if

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<v Speaker 1>the commercial release of the fourth generation of the tool

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<v Speaker 1>violates US or global regulations. For more, let's bring a

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<v Speaker 1>Nindo Managing editor covering tech and cybersecurity, Adam new York Lin.

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<v Speaker 1>What do we know, Hied. It's nice to be here,

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<v Speaker 1>thanks for having me. So, as you said, this very

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<v Speaker 1>prominent tech ethics group has filed this complaint with the FTC,

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<v Speaker 1>and very specifically, it's asking the US government to make

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<v Speaker 1>a very rare intervention here and hit the puzz button

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<v Speaker 1>on this huge boom and rush into building smarter and

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<v Speaker 1>smarter generations of AI. Like you said, the complaint right

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<v Speaker 1>now is focused on this GPT four language model, the

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<v Speaker 1>latest one that is behind chat GPT, and as we

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<v Speaker 1>all know by now, it's a very convincing simulation of

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<v Speaker 1>human conversation, and that is the fear here. The group

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<v Speaker 1>is specifically, as you said, asking for this investigation into

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<v Speaker 1>open AI to see if GPT four's release actually violates

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<v Speaker 1>existing regulations not just in the US but worldwide. And

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<v Speaker 1>of course this comes just a day after more than

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<v Speaker 1>a thousand people, some of them very prominent people in

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<v Speaker 1>the AI and tech space, signed a letter urging the

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<v Speaker 1>same Lynn, I think there's an important point of clarification

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<v Speaker 1>that we've got to mate to our audience, which is

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<v Speaker 1>this is not a complaint from the FTC. It's a

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<v Speaker 1>complaint to the FTC by basically an interested party. Right,

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<v Speaker 1>That is right. The complaint is being led by this

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<v Speaker 1>center that is a tech ethics group that is very

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<v Speaker 1>well known. Behind it is this long time privacy advocate

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<v Speaker 1>Mark Rottenberg, who is trying to press the FTC to

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<v Speaker 1>take action here. All right, Lyndon, managing editor covering tech

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<v Speaker 1>cybersecurity out of New York, Thank you so much. Let's

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<v Speaker 1>stick with this conversation. Bring in Stuart Russell Berkeley, director

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<v Speaker 1>of the Center for Intelligent Systems for More's the second

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<v Speaker 1>name on the list and that petition calling for a

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<v Speaker 1>halt to AI development. He's also, of course the co

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<v Speaker 1>author of the standard textbook Artificial Intelligence A Modern Approach.

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<v Speaker 1>Let's start the basics, professor, why did you sign that petition?

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<v Speaker 1>So the petition expresses the concern that these kinds of

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<v Speaker 1>systems are extremely unpredictable. In essence, we have really no

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<v Speaker 1>idea how they work inside, and so they simply don't

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<v Speaker 1>comply with principles that have already been established. For example,

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<v Speaker 1>the OECD has a set of principles that have been

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<v Speaker 1>signed up to by the United States and all the

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<v Speaker 1>other advanced economies saying that AI systems need to be

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<v Speaker 1>shown that they will not present undue risk two users.

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<v Speaker 1>And at the moment, there's no way that we can

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<v Speaker 1>show that these large language models don't present undue risks

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<v Speaker 1>because we don't know how they work. And there are

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<v Speaker 1>already many many stories of apparently psychotic conversations the one

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<v Speaker 1>reported in the New York Times, for example, a one

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<v Speaker 1>reported in the Belgian press just the other day of

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<v Speaker 1>chat GPT working with someone as they prepared to commit

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<v Speaker 1>suicide and in some ways encouraging them to continue with

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<v Speaker 1>that student. Those are the broad risks that the petition identifies.

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<v Speaker 1>There are lots of questions about the petition itself. For example,

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<v Speaker 1>when it was first published online, Sam Autman, the CEO

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<v Speaker 1>of open AI's name was listed open Ai, told us

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<v Speaker 1>at Bloomberg that he never signed it. Have any of

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<v Speaker 1>the organizers or you as signatories among yourself of discussed

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<v Speaker 1>that that's some of the names on that petition may

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<v Speaker 1>not actually never have signed it. So I think what

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<v Speaker 1>happens when you open one of these petitions for people

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<v Speaker 1>to sign up online and add their names. A lot

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<v Speaker 1>of jokers come along and put somebody else's name for fun,

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<v Speaker 1>and probably someone thought it would be cool to pretend

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<v Speaker 1>to be sample. When I think Shijinping, that name also appeared,

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<v Speaker 1>and so very quickly the organizers realized that they were

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<v Speaker 1>being subjected to a campaign of disinformation, so to speak,

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<v Speaker 1>and so they put in steps to slow that down.

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<v Speaker 1>Elon Musk is a signatory to this petition. I've written

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<v Speaker 1>to Elon Musk multiple times in the last four d

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<v Speaker 1>eight hours to try and confirm that he actually signed it.

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<v Speaker 1>Are you confident that it was actually him that signed it?

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<v Speaker 1>So I have to say I had no role in

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<v Speaker 1>the preparation of the petition or in the vetting of

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<v Speaker 1>the signatures. But Max Tegmark, who is the president of

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<v Speaker 1>the Future of Life Institute, which organized the petition, is

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<v Speaker 1>in direct contact with Elon Musk, and so I'm pretty

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<v Speaker 1>confident that that's a real signature. What you're asking for

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<v Speaker 1>is a halt of six months, a specific period where

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<v Speaker 1>next generations of large language models or the underlying technology

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<v Speaker 1>that powers the generative AI tools we're talking about, are

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<v Speaker 1>not released. How realistic do you think that is? To

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<v Speaker 1>coordinate that everyone agrees to just stop. I think there

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<v Speaker 1>are different ways of viewing what we're asking for. I

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<v Speaker 1>think the idea that you know the CEOs of Microsoft

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<v Speaker 1>and Google and deep Mind are going to read this

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<v Speaker 1>and say, oh, sorry, yeah, you're right, we completely messed up,

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<v Speaker 1>and we'll definitely stop right now. I don't think that's

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<v Speaker 1>going to happen, but I hope that it at least

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<v Speaker 1>begins a serious conversation about what would be necessary to

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<v Speaker 1>develop systems that we can have confidence in. And there's

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<v Speaker 1>two parts to that, right, Could we develop ways of

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<v Speaker 1>testing the systems that we already have so that we

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<v Speaker 1>can show that they do not present risks that they

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<v Speaker 1>will not help people to commit suicide and go on,

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<v Speaker 1>or we change the way we design the system so

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<v Speaker 1>that we can do that, And I actually think the

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<v Speaker 1>latter is probably more likely. I would also say that

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<v Speaker 1>legislators the European Union, for example, are close to passing

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<v Speaker 1>the AI Act, which would require these kinds of steps

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<v Speaker 1>as a matter of law, so that you could not

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<v Speaker 1>put systems on the market unless you could satisfy the

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<v Speaker 1>regulators that they were safe. Professor twenty four hours go,

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<v Speaker 1>we had Sarah Gao, who's a founder of a VC

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<v Speaker 1>firm called Conviction on the show. She's been investing in

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<v Speaker 1>AI for a long time. She was not a signatory

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<v Speaker 1>to the petition have listened to what she had to

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<v Speaker 1>say about this. I really care about access and also

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<v Speaker 1>a reinforcement of bias. But the thing to do is

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<v Speaker 1>to address these concerns in like a open and transparent way,

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<v Speaker 1>not to call for a halt to development. In the

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<v Speaker 1>context of a halt or a six month period of

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<v Speaker 1>non new releases, Sarah's point is that she thinks the

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<v Speaker 1>technology should be made increasingly available. More broadly, what is

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<v Speaker 1>the risk with that? Well, as she pointed out, the

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<v Speaker 1>systems already exhibit bias and various other kinds of problems.

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<v Speaker 1>So by making further generations of this technology available, which

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<v Speaker 1>might be much more capable of causing serious disruption in

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<v Speaker 1>our society, that would only make things worse, not or

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<v Speaker 1>I think what we're asking for is that the developers

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<v Speaker 1>of the technologies take their responsibilities seriously. A professor, We're

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<v Speaker 1>grateful for your time. You're staying up late for us

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<v Speaker 1>out of Singapore. You come at this from the academic perspective,

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<v Speaker 1>the research and policy perspective. But when I went to

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<v Speaker 1>our audience and asked about questions for you, they basically ask,

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<v Speaker 1>is this just sour grapes? Is this those in the

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<v Speaker 1>field that look at open AI and say you're the

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<v Speaker 1>leader here, we are trying to catch up, and that's

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<v Speaker 1>why we want to halt. No, not at all. I mean,

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<v Speaker 1>we're not in the business of competing in the commercial market.

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<v Speaker 1>Some of the underlying technologies of large language models emerged

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<v Speaker 1>from academia, and pretty much all of the deep blening

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<v Speaker 1>technologies emerge from academic and basic research lamps. So this

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<v Speaker 1>is really a question of asking that the systems that

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<v Speaker 1>are deployed by that affect the lives of billions of

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<v Speaker 1>people are actually systems that we understand and that we

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<v Speaker 1>can show our safe whose capabilities we get predict I

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<v Speaker 1>don't think that's too much to ask. Stuart Russell Berkeley,

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<v Speaker 1>Director of the Center for Intelligent Systems, Thank you again

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<v Speaker 1>for your time and staying up late for us out

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<v Speaker 1>of Singapore time. Now for talking tech today. Honey in

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<v Speaker 1>On China, a new Hong Kong based fund, pans to

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<v Speaker 1>raise one hundred million dollars this year to invest in

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<v Speaker 1>digital assets startups. Prodigital Future has raised thirty million dollars

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<v Speaker 1>so far, and we'll turge it early stage and developing ventures,

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<v Speaker 1>particularly companies with ties to Web three. The fundraising comes

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<v Speaker 1>as Hong Kong aggressively caughts crypto companies and talent to

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<v Speaker 1>revive the financial center after the slowdown spurred by COVID lockdowns.

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<v Speaker 1>The city sees digital assets is key to financial revival.

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<v Speaker 1>Chinese regulators held a meeting with banks to gauge interest

0:14:03.920 --> 0:14:07.200
<v Speaker 1>in taking over Silicon Valley banks stake in a local

0:14:07.280 --> 0:14:10.600
<v Speaker 1>joint venture in a bid to safeguard the banking system

0:14:10.640 --> 0:14:13.000
<v Speaker 1>from the lenders collapse here in the United States. The

0:14:13.120 --> 0:14:17.040
<v Speaker 1>China Banking and Insurance Regulatory Commission convener meeting this week

0:14:17.280 --> 0:14:21.200
<v Speaker 1>to discuss the disposal of svob's fifty percent holding in

0:14:21.560 --> 0:14:26.080
<v Speaker 1>SPD Silicon Valley Banks. Some Chinese banks have already indicated interest,

0:14:26.320 --> 0:14:29.520
<v Speaker 1>although discussions that are a very early stage. It's also

0:14:29.600 --> 0:14:33.680
<v Speaker 1>unclear if regulators prefer a foreign buyer. An Ali Barber

0:14:33.760 --> 0:14:36.880
<v Speaker 1>will consider gradually giving up controls some of its main

0:14:36.920 --> 0:14:41.120
<v Speaker 1>businesses over time, after completing a major overhaul to create

0:14:41.280 --> 0:14:44.800
<v Speaker 1>six new companies that may debut on public markets. The

0:14:44.840 --> 0:14:48.320
<v Speaker 1>company's gain more than thirty billion US dollars of market

0:14:48.440 --> 0:14:51.720
<v Speaker 1>value since Tuesday's announcement, which also fired up a rally

0:14:51.880 --> 0:14:55.240
<v Speaker 1>in other Chinese technology shares. The new divisions will begin

0:14:55.400 --> 0:15:00.360
<v Speaker 1>separate strategy planning. And now, according to Bloomberg's reporting, let's

0:15:00.360 --> 0:15:03.120
<v Speaker 1>get to that reporting for more on Ali Baba. Bring

0:15:03.120 --> 0:15:05.840
<v Speaker 1>in Bloomberg, says Bill Lee out in New York. Where

0:15:05.880 --> 0:15:08.080
<v Speaker 1>are we right now with Ali Baba? Hi, Yeah, that's

0:15:08.120 --> 0:15:10.400
<v Speaker 1>definitely the big news of today. Ali Baba said it

0:15:10.400 --> 0:15:13.240
<v Speaker 1>will see control over its unit two of the six units,

0:15:13.240 --> 0:15:17.080
<v Speaker 1>although when and where and by how much we still

0:15:17.120 --> 0:15:19.960
<v Speaker 1>have to find out. Yesterday overnight there was a press

0:15:20.000 --> 0:15:23.320
<v Speaker 1>conference or a press briefing blue the CEO, Daniel Zang,

0:15:23.320 --> 0:15:25.160
<v Speaker 1>and there were three takeaways. So first is that it

0:15:25.160 --> 0:15:27.440
<v Speaker 1>will be a case to case basis, as you've mentioned.

0:15:27.480 --> 0:15:31.120
<v Speaker 1>The second is that the restructuring is already underway. We

0:15:31.200 --> 0:15:33.600
<v Speaker 1>just don't know when or when it will be finalized,

0:15:33.640 --> 0:15:36.680
<v Speaker 1>but it is underway. We've talked about this extensively this week.

0:15:36.720 --> 0:15:39.000
<v Speaker 1>And the third is the CEO admitted that this is

0:15:39.080 --> 0:15:41.120
<v Speaker 1>so that they will become more nimble and they will

0:15:41.160 --> 0:15:46.120
<v Speaker 1>respond to the markets, market regulatory environment more positively. They

0:15:46.120 --> 0:15:48.080
<v Speaker 1>said that they want to be more of an asset

0:15:48.080 --> 0:15:50.880
<v Speaker 1>and capital operator rather than a business operator. But the

0:15:50.920 --> 0:15:54.400
<v Speaker 1>CEO did stress that he wants to have more synergy

0:15:54.520 --> 0:15:57.320
<v Speaker 1>still and it's also interesting because Ali Baba Holding that's

0:15:57.320 --> 0:16:00.560
<v Speaker 1>its company names that will literally be the whole day company.

0:16:00.680 --> 0:16:03.640
<v Speaker 1>And another news that also came across the bloombergwire today

0:16:03.720 --> 0:16:06.720
<v Speaker 1>is the logistics arm of Ali Baba, that's Tinieo. It's

0:16:06.760 --> 0:16:10.000
<v Speaker 1>already preparing for its first share sales, so it's targeting

0:16:10.000 --> 0:16:12.280
<v Speaker 1>a listing as soon as the end of this year.

0:16:12.400 --> 0:16:14.920
<v Speaker 1>And we've talked about this also that the two things

0:16:14.920 --> 0:16:16.360
<v Speaker 1>that will come out of this is that it will

0:16:16.400 --> 0:16:19.320
<v Speaker 1>revive a lackluster IPO market, most of which are I

0:16:19.440 --> 0:16:21.320
<v Speaker 1>am Hong Kong. And the second is that it will

0:16:21.360 --> 0:16:23.560
<v Speaker 1>just be more nimble in a piece of regulators after

0:16:23.640 --> 0:16:26.200
<v Speaker 1>a crackdown that we've seen when Ali Baba tried to

0:16:27.960 --> 0:16:31.880
<v Speaker 1>list its financial group for an IPO in twenty twenty.

0:16:32.640 --> 0:16:35.640
<v Speaker 1>Right bloombos Isabella, we're sharing that chart of how long

0:16:36.000 --> 0:16:37.920
<v Speaker 1>or how far the shares have to catch up before

0:16:37.960 --> 0:16:40.840
<v Speaker 1>they hit the average twelve month price target. All right,

0:16:40.880 --> 0:16:43.840
<v Speaker 1>Coming up, we're going to discuss cybersecurity risks and the

0:16:43.920 --> 0:16:47.640
<v Speaker 1>threat posed by North Korean hackers. That's with MANNYANS Director

0:16:47.680 --> 0:16:50.920
<v Speaker 1>of Intelligence John holt Quist also taking a look at

0:16:50.960 --> 0:16:53.920
<v Speaker 1>crips a bit quite interesting. We've seen some undulations i'd

0:16:53.920 --> 0:16:56.440
<v Speaker 1>put it in the last twenty four hours or so.

0:16:56.680 --> 0:17:00.120
<v Speaker 1>We're at a twenty eight thousand level right now in

0:17:00.200 --> 0:17:02.960
<v Speaker 1>terms of dollars per token, but there's a lot of

0:17:03.000 --> 0:17:06.600
<v Speaker 1>momentum right now in discussion about bitcoin pushing higher to

0:17:06.880 --> 0:17:10.040
<v Speaker 1>thirty thousand US dollars per token. In this session, we're

0:17:10.119 --> 0:17:12.760
<v Speaker 1>kind of moving to the downside softer by a round

0:17:12.760 --> 0:17:16.680
<v Speaker 1>a percentage point. We'll keep our sites set on bitcoin.

0:17:17.000 --> 0:17:33.640
<v Speaker 1>This is Bloomberg North Korean hackers from a group known

0:17:33.640 --> 0:17:37.520
<v Speaker 1>as APT forty three opposing as journalists, trying to gather

0:17:37.600 --> 0:17:42.000
<v Speaker 1>intelligence about international officials approach to nuclear security policy and

0:17:42.160 --> 0:17:45.400
<v Speaker 1>Kim Johnson's government. That's according to new research. For more

0:17:45.480 --> 0:17:49.200
<v Speaker 1>on the nation's espionage capabilities, let's bringing John Holtquist, head

0:17:49.320 --> 0:17:53.840
<v Speaker 1>of Mandian Threat Intelligence and Google Cloud. John, these are

0:17:53.880 --> 0:17:57.240
<v Speaker 1>really interesting findings in the research that you've been driving.

0:17:59.600 --> 0:18:03.000
<v Speaker 1>What are they trying to find out at specifically posing

0:18:03.000 --> 0:18:08.359
<v Speaker 1>as journalists? Why that tactic? Well, people answer questions from journalists,

0:18:08.359 --> 0:18:11.199
<v Speaker 1>So they're reaching out to people and think tanks and

0:18:11.359 --> 0:18:14.960
<v Speaker 1>the defense industry, and you know, ultimately they want to

0:18:15.000 --> 0:18:18.680
<v Speaker 1>compromise their systems. But what's so fascinating about this is

0:18:18.720 --> 0:18:22.360
<v Speaker 1>they could just ask questions to these people and get responses.

0:18:22.720 --> 0:18:24.720
<v Speaker 1>And really what North Korea is trying to do is

0:18:24.800 --> 0:18:27.800
<v Speaker 1>gain decision advantage. They want to know if they'd launch

0:18:28.000 --> 0:18:30.480
<v Speaker 1>a missile, how people are going to react, and these

0:18:30.480 --> 0:18:35.360
<v Speaker 1>are the experts on those questions. So what do your

0:18:35.400 --> 0:18:40.479
<v Speaker 1>findings tell us about their capabilities? How serious is what

0:18:40.520 --> 0:18:43.919
<v Speaker 1>they're able to achieve. Well, you know what's so interesting

0:18:43.920 --> 0:18:47.360
<v Speaker 1>about North Korean actors is a few years ago they

0:18:47.359 --> 0:18:50.600
<v Speaker 1>started doing this espionage activity and it's clearly supporting their

0:18:50.680 --> 0:18:53.800
<v Speaker 1>nuclear ambitions. But the other half of this is all

0:18:53.800 --> 0:18:58.679
<v Speaker 1>the crypto to activity that they're involved in. They started

0:18:58.800 --> 0:19:03.040
<v Speaker 1>using their spies to steal a money globally a few

0:19:03.119 --> 0:19:05.960
<v Speaker 1>years ago, and even this team that has this espionage

0:19:06.000 --> 0:19:10.399
<v Speaker 1>operation is stealing crypto on the side that there's a

0:19:10.440 --> 0:19:13.920
<v Speaker 1>digital cyber component to this. But as part of your research,

0:19:14.000 --> 0:19:18.760
<v Speaker 1>you point out in person interviews between those posing as

0:19:18.840 --> 0:19:21.600
<v Speaker 1>journalists and experts are also taking place. So what is

0:19:21.640 --> 0:19:24.800
<v Speaker 1>the Mandian strategy? How do you protect against both of

0:19:24.840 --> 0:19:28.120
<v Speaker 1>those issues? Well, you know, we see them coming and

0:19:28.160 --> 0:19:31.240
<v Speaker 1>pretending to be these people, and what we're lacking or

0:19:31.320 --> 0:19:33.680
<v Speaker 1>the people who are getting hit are lacking is really

0:19:33.680 --> 0:19:37.760
<v Speaker 1>a strategy of identifying who they're talking to, right I

0:19:37.800 --> 0:19:40.200
<v Speaker 1>don't think, you know, if you are in a position

0:19:40.240 --> 0:19:43.440
<v Speaker 1>where you're likely to be targeted by spies, you really

0:19:43.520 --> 0:19:46.040
<v Speaker 1>need to up your game as far as who you're

0:19:46.040 --> 0:19:49.560
<v Speaker 1>responding to, how you authenticate them, and what you know

0:19:49.800 --> 0:19:53.679
<v Speaker 1>countermess you're taking. Is this unique to North career or

0:19:53.720 --> 0:19:56.640
<v Speaker 1>did you see evidence that it's a tactic used elsewhere?

0:19:57.240 --> 0:20:00.480
<v Speaker 1>Not at all. You know, we see Iranian actor carry

0:20:00.480 --> 0:20:04.120
<v Speaker 1>out targeting pretinning to be journalists. The Russians are doing

0:20:04.240 --> 0:20:07.520
<v Speaker 1>the exact same thing. They've got obviously a huge need

0:20:07.600 --> 0:20:10.399
<v Speaker 1>for decision advantage right now, given that the war that

0:20:10.440 --> 0:20:13.280
<v Speaker 1>they're in. If you are in a business that is

0:20:13.320 --> 0:20:16.040
<v Speaker 1>likely to be targeted by spies, you really got to

0:20:16.080 --> 0:20:19.320
<v Speaker 1>take care of who you're responding to. Will use the

0:20:19.359 --> 0:20:24.080
<v Speaker 1>word spies, you know, we identify that according to the research,

0:20:24.240 --> 0:20:28.160
<v Speaker 1>North Korean intelligence services are the ones directing this activity.

0:20:28.720 --> 0:20:32.560
<v Speaker 1>Why is it that significant that the intelligence services of

0:20:32.600 --> 0:20:35.919
<v Speaker 1>that country are kind of putting the strings. Well, you know,

0:20:35.960 --> 0:20:38.199
<v Speaker 1>a long time ago, it took so much money and

0:20:38.280 --> 0:20:41.640
<v Speaker 1>time to do human operations, and those still happen. People

0:20:41.720 --> 0:20:44.640
<v Speaker 1>get We catch this human spies all the time, but

0:20:45.000 --> 0:20:47.880
<v Speaker 1>it's so much cheaper and more efficient to use hackers

0:20:48.200 --> 0:20:50.920
<v Speaker 1>or so many of these problems. And these guys can

0:20:50.920 --> 0:20:54.120
<v Speaker 1>get answers in hours. They can literally go and ask

0:20:54.160 --> 0:20:57.520
<v Speaker 1>somebody for a question and get the kind of answers

0:20:57.560 --> 0:21:01.159
<v Speaker 1>intelligence services used to spend, you know, years trying to answer.

0:21:02.960 --> 0:21:06.160
<v Speaker 1>What do you think happens next? I understand you don't

0:21:06.160 --> 0:21:09.520
<v Speaker 1>have a crystal ball, but what are you bracing for? Well,

0:21:09.560 --> 0:21:11.840
<v Speaker 1>you know what I'm really bracing for is them to

0:21:13.080 --> 0:21:16.480
<v Speaker 1>up their game on the crypto side. We're right now

0:21:16.520 --> 0:21:19.520
<v Speaker 1>in the midst of a major incident that is involving

0:21:19.760 --> 0:21:23.720
<v Speaker 1>potentially thousands of organizations, and we think that, you know,

0:21:23.800 --> 0:21:25.840
<v Speaker 1>one of the reasons that they're doing, that they're behind

0:21:25.840 --> 0:21:29.320
<v Speaker 1>this incident is to gain access to crypto users. So

0:21:30.040 --> 0:21:33.080
<v Speaker 1>that's going to affect organizations involved in crypto, that's going

0:21:33.119 --> 0:21:35.400
<v Speaker 1>to affect everyday users. And that's one of the most

0:21:35.440 --> 0:21:39.520
<v Speaker 1>interesting parts of this. You you, an average crypto investor

0:21:39.560 --> 0:21:42.600
<v Speaker 1>could affect it all, right, John hold Quist and Mandy

0:21:42.640 --> 0:21:53.000
<v Speaker 1>and bringing us the data. Thank you. Welcome back to

0:21:53.000 --> 0:21:55.679
<v Speaker 1>bloom Big Technology. Ed Ludlow here in San Francisco now

0:21:55.760 --> 0:21:59.800
<v Speaker 1>Twili out with its fourth annual State of Customer Engagement

0:22:00.200 --> 0:22:03.720
<v Speaker 1>Report this year. The report states that data driven customer

0:22:03.760 --> 0:22:08.200
<v Speaker 1>engagement does drive revenue growth and resilience for the brands

0:22:08.480 --> 0:22:11.399
<v Speaker 1>they lean into. Its relio CEO Jeff Lawson back with

0:22:11.480 --> 0:22:13.800
<v Speaker 1>us on Bloomberg Technology. Jeff, it's good to see you

0:22:14.640 --> 0:22:17.600
<v Speaker 1>break that down into Layman's of course, break that down

0:22:17.600 --> 0:22:20.080
<v Speaker 1>for me into Layman's terms. What are we talking about there?

0:22:20.080 --> 0:22:23.600
<v Speaker 1>What does any of that actually mean? Companies that bother

0:22:23.720 --> 0:22:26.679
<v Speaker 1>to pay attention to their customers and to build a

0:22:26.840 --> 0:22:31.359
<v Speaker 1>relevant relationship and maintain relevance with that customer make more money.

0:22:31.400 --> 0:22:34.040
<v Speaker 1>I mean, that's the basic Layman's term for it. And

0:22:34.080 --> 0:22:35.960
<v Speaker 1>if you think about it, it makes sense. Right in

0:22:36.000 --> 0:22:39.600
<v Speaker 1>a period of time where people had a lot of

0:22:39.640 --> 0:22:41.600
<v Speaker 1>money burning a hole in their pocket, right, you didn't

0:22:41.600 --> 0:22:44.680
<v Speaker 1>have to be very good to go build customer basis

0:22:44.720 --> 0:22:46.760
<v Speaker 1>audiences get them to spend that money. But in our

0:22:46.760 --> 0:22:50.119
<v Speaker 1>current environment, when there's more of a fixed wallet world

0:22:50.160 --> 0:22:52.880
<v Speaker 1>that we're in, it's the companies that actually pay more

0:22:52.960 --> 0:22:57.199
<v Speaker 1>attention to their customers and create a relationship with those customers, right,

0:22:57.200 --> 0:23:00.600
<v Speaker 1>they're tending to win the hearts, minds, and all of

0:23:00.600 --> 0:23:02.840
<v Speaker 1>those customers. And we had a you know, in the report,

0:23:02.880 --> 0:23:06.720
<v Speaker 1>there was a survey of many, many, many companies, and

0:23:06.760 --> 0:23:08.960
<v Speaker 1>what we found is that the companies that invested most

0:23:09.000 --> 0:23:12.520
<v Speaker 1>in building those digital relationships engaging with those customers in

0:23:12.800 --> 0:23:17.680
<v Speaker 1>targeted and relevant ways. So a ninety percent increase in revenue. Now,

0:23:17.720 --> 0:23:19.920
<v Speaker 1>think about that. In an environment like this, it makes

0:23:19.960 --> 0:23:22.560
<v Speaker 1>sense that the companies that do a really good job

0:23:22.880 --> 0:23:26.560
<v Speaker 1>of using all this very efficient digital technology will understand

0:23:26.560 --> 0:23:29.120
<v Speaker 1>their customers and build a relationship would actually be doing

0:23:29.160 --> 0:23:32.040
<v Speaker 1>better than those that don't. So, Jeff, I'm assuming there

0:23:32.080 --> 0:23:36.400
<v Speaker 1>as a reason that Tuilio carries out this this research, right,

0:23:36.680 --> 0:23:40.040
<v Speaker 1>how do you put into practice your findings, put into

0:23:40.080 --> 0:23:44.160
<v Speaker 1>practice what you preach at Well, what it does is, yeah,

0:23:44.280 --> 0:23:46.639
<v Speaker 1>what it does is it helps companies to understand the

0:23:46.720 --> 0:23:49.400
<v Speaker 1>nature of the ROI of these investments. So I love

0:23:49.480 --> 0:23:54.000
<v Speaker 1>the story of Domino's Pizza. Actually, they have many touches

0:23:54.000 --> 0:23:56.960
<v Speaker 1>with their customers, online, offline, et cetera. As you can imagine,

0:23:57.240 --> 0:24:00.919
<v Speaker 1>they put in a Tuilio segment, the customer data platform,

0:24:00.960 --> 0:24:03.560
<v Speaker 1>the leading customer data platform the market to go understand

0:24:03.560 --> 0:24:05.359
<v Speaker 1>who are these customers? And because of that, they were

0:24:05.400 --> 0:24:09.280
<v Speaker 1>able to better target their messages and their advertisements to

0:24:09.400 --> 0:24:13.399
<v Speaker 1>get more customers, and they saw a seven hundred percent

0:24:13.960 --> 0:24:17.879
<v Speaker 1>increase in the return on ad spend seven right, And

0:24:17.920 --> 0:24:20.680
<v Speaker 1>so it's those types of things that in this market environment,

0:24:20.880 --> 0:24:23.800
<v Speaker 1>free company is looking for waves to get more while

0:24:23.840 --> 0:24:26.159
<v Speaker 1>spending less, and those are the kind of results that

0:24:26.200 --> 0:24:29.200
<v Speaker 1>we can return. Jeff, you've just stow the debate that

0:24:29.359 --> 0:24:31.880
<v Speaker 1>Jackie Lopez, our senior producer on the show, has been

0:24:31.920 --> 0:24:34.560
<v Speaker 1>having for some time that Domino's is a technology company.

0:24:35.080 --> 0:24:39.560
<v Speaker 1>I think it's a company. Let's go to AI. Let's

0:24:39.560 --> 0:24:43.479
<v Speaker 1>go to AI, because right now, how companies are doing that.

0:24:43.720 --> 0:24:46.720
<v Speaker 1>Think about chatbots, how they engage and I'm talking about

0:24:46.920 --> 0:24:50.600
<v Speaker 1>enterprise companies of all shapes and sizes. They are launching

0:24:51.280 --> 0:24:54.879
<v Speaker 1>GPT or other AI related services. What's Twilio doing in

0:24:54.880 --> 0:24:58.639
<v Speaker 1>that space, Well, you know, at the leading customer data platform,

0:24:58.720 --> 0:25:01.640
<v Speaker 1>we have the free party customer data for so many

0:25:01.680 --> 0:25:05.040
<v Speaker 1>tens of thousands of our customers and that allows us

0:25:05.080 --> 0:25:10.600
<v Speaker 1>to help them build relevance and personalization into these generative

0:25:10.960 --> 0:25:14.359
<v Speaker 1>large language model tools that everyone is building. And so

0:25:14.400 --> 0:25:16.679
<v Speaker 1>if you think about it, like imagine a website, if

0:25:16.720 --> 0:25:18.600
<v Speaker 1>the website doesn't know anything about you. Went to Amazon

0:25:18.600 --> 0:25:20.200
<v Speaker 1>and it didn't know anything about who you are, being

0:25:20.200 --> 0:25:22.159
<v Speaker 1>a not a very good website. But the fact that

0:25:22.200 --> 0:25:25.120
<v Speaker 1>Amazon or Google know who you are, impersonalized to who

0:25:25.119 --> 0:25:28.280
<v Speaker 1>you are makes them great products. Well, I think of

0:25:28.440 --> 0:25:29.920
<v Speaker 1>you know, you've got the web on one side, you've

0:25:29.920 --> 0:25:32.160
<v Speaker 1>got mobile over here, and the new world is going

0:25:32.200 --> 0:25:34.600
<v Speaker 1>to be the results of what these large language models

0:25:34.720 --> 0:25:37.400
<v Speaker 1>are able to do. It's a new interface into companies,

0:25:37.880 --> 0:25:42.000
<v Speaker 1>and those interfaces need to understand who they're talking to customer,

0:25:42.280 --> 0:25:45.080
<v Speaker 1>and that's what Tulio can provide. Hey, Jeff, let's talk

0:25:45.080 --> 0:25:47.320
<v Speaker 1>a little bit about the company and you. I think

0:25:47.320 --> 0:25:49.760
<v Speaker 1>I'm right in saying that you're a founda CEO, right

0:25:49.840 --> 0:25:53.480
<v Speaker 1>co found a CEO? Your founder shares convert to common

0:25:53.560 --> 0:25:56.000
<v Speaker 1>stock later in the year, I think in the summer.

0:25:56.720 --> 0:26:00.639
<v Speaker 1>Mark Benioff's spin on this program Active Vision is a

0:26:00.680 --> 0:26:03.600
<v Speaker 1>big topic right now. Talk to me about how you

0:26:03.840 --> 0:26:06.919
<v Speaker 1>where your head's at with that. Well, look, you know,

0:26:06.960 --> 0:26:10.240
<v Speaker 1>the conversion of our shares later this year, it doesn't

0:26:10.240 --> 0:26:12.720
<v Speaker 1>really change anything. I mean, since we went public, we

0:26:12.760 --> 0:26:16.159
<v Speaker 1>have been very responsive in listening to our investors, understanding,

0:26:16.440 --> 0:26:18.960
<v Speaker 1>you know, their needs, their motivations, their ideas for the

0:26:19.000 --> 0:26:22.240
<v Speaker 1>company and having those be reflected in our actions as

0:26:22.240 --> 0:26:24.080
<v Speaker 1>a management team. And I think you see that in

0:26:24.560 --> 0:26:27.560
<v Speaker 1>just last month, we took a number of substantive actions

0:26:28.200 --> 0:26:31.400
<v Speaker 1>to get the company fit for the current market environment

0:26:31.440 --> 0:26:36.040
<v Speaker 1>that we're in, to focus on profitability, including gap profitability,

0:26:36.920 --> 0:26:38.960
<v Speaker 1>and that is all based on feedback that we get

0:26:38.960 --> 0:26:41.400
<v Speaker 1>from our investors about what kind of company they want

0:26:41.440 --> 0:26:44.720
<v Speaker 1>to be invested in. And so this doesn't change are

0:26:44.920 --> 0:26:46.760
<v Speaker 1>the fact that we listen to our investors and they

0:26:46.760 --> 0:26:49.440
<v Speaker 1>are an important stakeholder, and how we are running the company.

0:26:50.840 --> 0:26:55.320
<v Speaker 1>There's also discussions we had around the technology sector right now,

0:26:55.359 --> 0:26:58.320
<v Speaker 1>the health of it, and San Francisco. I don't want

0:26:58.359 --> 0:27:00.760
<v Speaker 1>you to roll your eyes at May you've gone there

0:27:00.880 --> 0:27:04.480
<v Speaker 1>with the debate on remote working. Coming back to the office.

0:27:05.080 --> 0:27:07.879
<v Speaker 1>Just taught me through the logic behind the system that

0:27:07.960 --> 0:27:12.760
<v Speaker 1>Twilio has. Why you think that makes for a better company. Well,

0:27:12.800 --> 0:27:14.080
<v Speaker 1>first of all, let me start up saying I'm a

0:27:14.119 --> 0:27:16.520
<v Speaker 1>big believer in San Francisco. I'm in San Francisco right now.

0:27:16.560 --> 0:27:18.840
<v Speaker 1>This is where I live, this is where our headquarters is,

0:27:18.880 --> 0:27:21.400
<v Speaker 1>and so I think San Francisco is the greatest town

0:27:21.440 --> 0:27:24.760
<v Speaker 1>on earth. As far as Twilio goes, we have moved

0:27:24.760 --> 0:27:27.040
<v Speaker 1>to a distributed work mode and that is both the

0:27:27.080 --> 0:27:30.000
<v Speaker 1>reality of our works right. We are hiring great people

0:27:30.040 --> 0:27:33.040
<v Speaker 1>wherever they are in the world. Before the pandemic, about

0:27:33.160 --> 0:27:35.679
<v Speaker 1>ten to fifteen percent of our employees lived in a

0:27:35.680 --> 0:27:38.480
<v Speaker 1>place that was not attached to a physical office of Twilio's.

0:27:38.480 --> 0:27:41.080
<v Speaker 1>Now that number is it's getting close to sixty percent

0:27:41.119 --> 0:27:43.919
<v Speaker 1>of our population. So what that means is we are

0:27:43.960 --> 0:27:46.920
<v Speaker 1>able to tap into the global talent, which a lot

0:27:46.920 --> 0:27:49.760
<v Speaker 1>of companies did during the pandemic. But now when you say, oh,

0:27:49.760 --> 0:27:51.200
<v Speaker 1>but you got to come back to the office, well,

0:27:51.520 --> 0:27:53.000
<v Speaker 1>there's a lot of people who won't be able to

0:27:53.000 --> 0:27:55.160
<v Speaker 1>go back to the office, and you'll get a first class,

0:27:55.200 --> 0:27:57.119
<v Speaker 1>second class world that are people in offices and the

0:27:57.119 --> 0:27:59.640
<v Speaker 1>people who are remote. Well, Twilio we've said, look, we're

0:27:59.640 --> 0:28:03.040
<v Speaker 1>gonna just continue leaning into this world of hiring great

0:28:03.080 --> 0:28:07.439
<v Speaker 1>talent where it is and make them super productive and

0:28:07.600 --> 0:28:11.240
<v Speaker 1>successful in this distributed world. And you know, someone said

0:28:11.280 --> 0:28:13.360
<v Speaker 1>something smart to me once that I've always thought about,

0:28:13.400 --> 0:28:16.719
<v Speaker 1>which is hybrid is the worst of both worlds. You know,

0:28:16.920 --> 0:28:21.080
<v Speaker 1>hybrid cars, hybrid work, hybrid whatever hybrid's applied to and

0:28:21.119 --> 0:28:23.280
<v Speaker 1>I think there's actually some truth to that. Yes, I'd

0:28:23.359 --> 0:28:25.600
<v Speaker 1>rather have a full gas car or an electric car,

0:28:26.640 --> 0:28:28.640
<v Speaker 1>but hybrid work, I think it is a similar thing.

0:28:28.720 --> 0:28:30.399
<v Speaker 1>So we are leaning into this idea that we are

0:28:30.400 --> 0:28:33.119
<v Speaker 1>a fully distributed company and that our job is to

0:28:33.160 --> 0:28:36.440
<v Speaker 1>get teams together periodically to build that yes, free decor

0:28:36.720 --> 0:28:39.240
<v Speaker 1>just build those relationships to get a lot done. But

0:28:39.280 --> 0:28:42.360
<v Speaker 1>then ultimately where people live is not the most important

0:28:42.360 --> 0:28:45.320
<v Speaker 1>factor in how we build a successful company. Wherever the

0:28:45.360 --> 0:28:48.600
<v Speaker 1>work is happening, you're trying to make your product competitive.

0:28:48.760 --> 0:28:50.280
<v Speaker 1>You know, there are people I speak to out in

0:28:50.320 --> 0:28:52.960
<v Speaker 1>the market that look at what some of the telcos

0:28:53.000 --> 0:28:57.600
<v Speaker 1>are doing around API based messaging platforms, in other words,

0:28:57.600 --> 0:29:02.120
<v Speaker 1>competitions coming, and I wonder how you respond onto that. Well, look,

0:29:02.120 --> 0:29:04.600
<v Speaker 1>we're just for injured a competition. There's been APIs for

0:29:05.000 --> 0:29:07.880
<v Speaker 1>things that we do communications. We didn't invent phone calls

0:29:07.960 --> 0:29:10.400
<v Speaker 1>or text messages. We've just had our finger on the

0:29:10.400 --> 0:29:12.480
<v Speaker 1>pulse of customers better than anyone else. And that's why

0:29:12.480 --> 0:29:15.760
<v Speaker 1>we're a leader and a creator of this communications platform

0:29:15.760 --> 0:29:19.400
<v Speaker 1>as a service market. And there have been many other

0:29:19.600 --> 0:29:22.760
<v Speaker 1>offerings in the market throughout the years, and I think

0:29:22.800 --> 0:29:24.800
<v Speaker 1>We've always had a really good sense of what customers want,

0:29:24.840 --> 0:29:27.400
<v Speaker 1>and that's why we've been the winner. All right, Tuilio,

0:29:27.480 --> 0:29:30.160
<v Speaker 1>CEO Jeff Lawson. Good to catch up, goods talk San

0:29:30.200 --> 0:29:34.000
<v Speaker 1>Francisco and tech. Turning now to a note out from

0:29:34.040 --> 0:29:38.440
<v Speaker 1>Goldman Sack Strategists saying investors should buy US growth stocks

0:29:38.480 --> 0:29:42.160
<v Speaker 1>with high margins while avoiding low margin growth stocks, even

0:29:42.160 --> 0:29:44.640
<v Speaker 1>as equity and rates markets are at odds over the

0:29:44.640 --> 0:29:47.520
<v Speaker 1>likelihood of a recession. If the economy enters a recession,

0:29:47.960 --> 0:29:52.320
<v Speaker 1>equity market expectations for growth will likely deteriorate. In history

0:29:52.360 --> 0:29:57.280
<v Speaker 1>suggests investors will be rewards so called quality attributes, including

0:29:57.800 --> 0:30:01.800
<v Speaker 1>high margin growth stocks. Now coming up, how spob's collapse

0:30:01.960 --> 0:30:05.200
<v Speaker 1>might be a symptom of a broader breakdown in the

0:30:05.280 --> 0:30:09.000
<v Speaker 1>financial machine powering the startup industry. We'll discuss how that's

0:30:09.000 --> 0:30:14.640
<v Speaker 1>also impacting the European ecosystem and the opportunities in that market. Next,

0:30:14.760 --> 0:30:17.280
<v Speaker 1>checking back in on those markets. And as that one

0:30:17.320 --> 0:30:19.920
<v Speaker 1>hundred we talked about it so much, heading for its

0:30:19.920 --> 0:30:23.280
<v Speaker 1>second best quarter of the decade, A lot of the

0:30:24.200 --> 0:30:42.560
<v Speaker 1>narrative around the federal was this is Bloomberg. There's still

0:30:42.600 --> 0:30:45.880
<v Speaker 1>plenty of opportunity out there. There's growing biotech sector in

0:30:45.920 --> 0:30:49.960
<v Speaker 1>the United States and Boston, San Francisco, there's still technology

0:30:49.960 --> 0:30:52.520
<v Speaker 1>companies that are doing well. Many of these tech cuts

0:30:52.560 --> 0:30:56.080
<v Speaker 1>are because the tech companies overspend or with cheap money,

0:30:56.280 --> 0:30:58.280
<v Speaker 1>just went into areas they should have never gone into.

0:30:58.680 --> 0:31:01.240
<v Speaker 1>So I don't believe those are fun the middle cutting

0:31:01.240 --> 0:31:02.720
<v Speaker 1>to the core of the two companies. That's just a

0:31:02.800 --> 0:31:05.400
<v Speaker 1>restructuring to get back to the basics and get back

0:31:05.440 --> 0:31:07.680
<v Speaker 1>to where they're really ending value and making money rather

0:31:07.720 --> 0:31:13.000
<v Speaker 1>than trying to send a man. Look. That was Boston

0:31:13.080 --> 0:31:16.040
<v Speaker 1>Celtics co owner and Bank Capital Senior revised as Steve

0:31:16.080 --> 0:31:19.000
<v Speaker 1>Poweruka there saying he still sees a lot of opportunity

0:31:19.280 --> 0:31:21.680
<v Speaker 1>in tech and that's the conversation that I want to

0:31:21.720 --> 0:31:25.280
<v Speaker 1>continue with Beyonna Lee, managing partner and chief investment officer

0:31:25.360 --> 0:31:28.800
<v Speaker 1>over a Verdane, a specialist growth investment firm that partners

0:31:29.000 --> 0:31:33.440
<v Speaker 1>with tech enabled but sustainable European business four billion dollars

0:31:34.040 --> 0:31:37.320
<v Speaker 1>in committed capital. Beyonda welcome to the program, you kind

0:31:37.320 --> 0:31:40.800
<v Speaker 1>of heard what Steve had to say. They're the opportunities

0:31:40.840 --> 0:31:43.760
<v Speaker 1>he sees, but those were in US cities. You sit

0:31:43.840 --> 0:31:48.880
<v Speaker 1>in Oslo looking closely at European tech given macro conditions

0:31:48.960 --> 0:31:51.760
<v Speaker 1>right now, how healthy is the technology sector from a

0:31:51.800 --> 0:31:56.640
<v Speaker 1>private markets perspective, Well, it depends on what perspective you're

0:31:56.640 --> 0:31:58.760
<v Speaker 1>looking at from, of course. I mean we are looking

0:31:58.800 --> 0:32:02.120
<v Speaker 1>at from sort of fundamental, fundamental perspective, which is, you know,

0:32:03.160 --> 0:32:06.960
<v Speaker 1>the digitalization and decobanization is eating up an ever larger

0:32:07.040 --> 0:32:09.280
<v Speaker 1>share of GMP. And if you want to invest in

0:32:09.280 --> 0:32:11.320
<v Speaker 1>growth as where you want to be, and for us,

0:32:11.320 --> 0:32:13.880
<v Speaker 1>they've been doing this for twenty years. Having some of

0:32:13.880 --> 0:32:17.080
<v Speaker 1>these sort of what we call digital tourists or private

0:32:17.120 --> 0:32:20.720
<v Speaker 1>market tourists to retract from the market I think creates

0:32:20.720 --> 0:32:23.560
<v Speaker 1>a healthier and more exciting balance as an investor. So

0:32:24.240 --> 0:32:27.959
<v Speaker 1>we see fantastic opportunity sets around us, our average, our

0:32:28.000 --> 0:32:29.920
<v Speaker 1>PORTFOLI we're in the growth segment, right We're not on

0:32:29.920 --> 0:32:32.880
<v Speaker 1>a sort of VC ecosystem. We're not reading the leveraged

0:32:32.880 --> 0:32:35.360
<v Speaker 1>buyout world. We're in the growth ecosystem. And our companies

0:32:35.400 --> 0:32:38.440
<v Speaker 1>grew have on average grown about twenty percent per year

0:32:38.480 --> 0:32:41.640
<v Speaker 1>for the last twenty years, returned three point eight times

0:32:41.640 --> 0:32:44.680
<v Speaker 1>and sixty one percent are and last year it actually

0:32:44.720 --> 0:32:48.240
<v Speaker 1>grew twenty six percent, So it's healthy underlying growth, structural

0:32:48.320 --> 0:32:52.040
<v Speaker 1>thematics keep going, and a more sort of healthy, unstable

0:32:52.120 --> 0:32:56.840
<v Speaker 1>valuation environment. I think here in the United States we're

0:32:56.880 --> 0:32:59.320
<v Speaker 1>talking a lot about how than as that one hundred

0:33:00.120 --> 0:33:04.080
<v Speaker 1>heavy index lots of higher multiple software names is heading

0:33:04.120 --> 0:33:06.800
<v Speaker 1>for its second best quarter of the decade. There's a

0:33:06.840 --> 0:33:09.520
<v Speaker 1>lot of discussion in the public markets about tech shares

0:33:09.640 --> 0:33:14.920
<v Speaker 1>performance in Europe. How are you benchmarking portfolio companies in Europe,

0:33:15.040 --> 0:33:19.240
<v Speaker 1>European startups against that public sector performance we've seen recently.

0:33:20.800 --> 0:33:22.640
<v Speaker 1>We've always tried to be quite cautious in our in

0:33:23.080 --> 0:33:26.800
<v Speaker 1>our valuations. We've had statistically about eighty percent uplifts from

0:33:26.800 --> 0:33:30.240
<v Speaker 1>three quarters before exit at Rodin, we've had the same statistics.

0:33:31.120 --> 0:33:33.320
<v Speaker 1>We actually are old enough that we've sort of seen

0:33:33.400 --> 0:33:35.080
<v Speaker 1>this record play a couple of times before, you know,

0:33:35.080 --> 0:33:37.280
<v Speaker 1>we sort of conquest of the financrist in this sort

0:33:37.280 --> 0:33:40.520
<v Speaker 1>of period where our benchmarks actually where our valuations actually

0:33:41.000 --> 0:33:44.560
<v Speaker 1>shaken out, and and it's really that feel that that

0:33:44.560 --> 0:33:49.240
<v Speaker 1>that sort of very schizophrenic or inconsistent behaviors where you're

0:33:49.240 --> 0:33:52.000
<v Speaker 1>seeing both I think in European tech stock world and

0:33:52.280 --> 0:33:54.600
<v Speaker 1>in the private markets. That is still this period of

0:33:54.960 --> 0:33:56.800
<v Speaker 1>trying to figure out where the world is really headed.

0:33:57.080 --> 0:34:01.080
<v Speaker 1>We're not that affected shortcurring in our valuation parameters because

0:34:01.120 --> 0:34:04.080
<v Speaker 1>we have such such sort of deep discounts to public

0:34:04.160 --> 0:34:07.120
<v Speaker 1>markets in our sort of holding values. But but clearly

0:34:07.120 --> 0:34:09.239
<v Speaker 1>when you're discussing with the founders or they're kind of

0:34:09.239 --> 0:34:12.680
<v Speaker 1>bootstrapped companies we typically talk to, of course they're looking

0:34:12.719 --> 0:34:16.080
<v Speaker 1>at those kind of indexes, right, And clearly it was

0:34:16.400 --> 0:34:20.000
<v Speaker 1>a lot more tricky conversations to do proprietary investments when

0:34:20.120 --> 0:34:22.880
<v Speaker 1>when the BESI mere intercoed index or the growth was

0:34:22.920 --> 0:34:26.359
<v Speaker 1>at sixteen times and is now. But I still think

0:34:26.360 --> 0:34:28.640
<v Speaker 1>those sort of massive durations are still just adding to

0:34:28.680 --> 0:34:30.239
<v Speaker 1>the confusion. I think we're going to see another six

0:34:30.360 --> 0:34:33.919
<v Speaker 1>or twelve months before things things sort of flesh flesh out.

0:34:34.320 --> 0:34:36.160
<v Speaker 1>But mind you, you know, we have more developers in

0:34:36.200 --> 0:34:40.040
<v Speaker 1>Europe than the US where we play sort of northwestern

0:34:40.080 --> 0:34:42.719
<v Speaker 1>Europe is much more digitized economies than the US one

0:34:43.400 --> 0:34:46.879
<v Speaker 1>and so and much less capital available, so we don't

0:34:46.880 --> 0:34:49.280
<v Speaker 1>we haven't had the same massive run up in valuations

0:34:49.320 --> 0:34:51.480
<v Speaker 1>and therefore there's not quite the same pressure downwards. I

0:34:51.480 --> 0:34:54.239
<v Speaker 1>would say, well, you know, you think you reflect on

0:34:54.280 --> 0:34:59.080
<v Speaker 1>how many Northern European and even Eastern European tech talents

0:34:59.160 --> 0:35:02.040
<v Speaker 1>make their way over San Francisco, where I am. You know,

0:35:02.080 --> 0:35:05.920
<v Speaker 1>the debate across the Atlantic has been about the impact

0:35:06.000 --> 0:35:09.359
<v Speaker 1>of the SVB collapse in a tightening of financial conditions.

0:35:09.719 --> 0:35:12.200
<v Speaker 1>How did that play out for you in Europe? Was

0:35:12.239 --> 0:35:16.640
<v Speaker 1>there a material impact to operating cash flow for your

0:35:16.680 --> 0:35:20.879
<v Speaker 1>portfolio companies and and how has that impacted their kind

0:35:20.880 --> 0:35:23.239
<v Speaker 1>of outlook for the rest of the year. It was

0:35:23.280 --> 0:35:25.440
<v Speaker 1>really quite interesting because in in you know, in the

0:35:25.520 --> 0:35:27.480
<v Speaker 1>US as we be, and being on the West coast,

0:35:27.520 --> 0:35:30.759
<v Speaker 1>it's such a sort of pillar of the community. We

0:35:30.840 --> 0:35:36.640
<v Speaker 1>have seven officers across northwestern Europe's UK, and it's really

0:35:36.640 --> 0:35:39.000
<v Speaker 1>only the UK that was effected in the meaningful way

0:35:39.440 --> 0:35:41.600
<v Speaker 1>when we ran a sort of over eighty portfolio companies.

0:35:41.600 --> 0:35:44.000
<v Speaker 1>Are really the three of them that banked the with

0:35:44.120 --> 0:35:47.239
<v Speaker 1>this bib SO and none of the none of the

0:35:47.280 --> 0:35:50.080
<v Speaker 1>regional firms here did So it's in the Europe. It's

0:35:50.160 --> 0:35:53.560
<v Speaker 1>largely sort of isolated in the UK, where it was

0:35:53.960 --> 0:35:57.680
<v Speaker 1>it was important. Um, but I think it's interesting that

0:35:57.680 --> 0:36:00.759
<v Speaker 1>there's been an explosion adventure that part clear last year

0:36:01.120 --> 0:36:03.120
<v Speaker 1>more less double look only some sort of into about

0:36:03.120 --> 0:36:05.439
<v Speaker 1>thirty billion and about a third of all venture money

0:36:05.480 --> 0:36:07.399
<v Speaker 1>race last year we ventured it. I think that story

0:36:07.440 --> 0:36:10.320
<v Speaker 1>is going to draw up for many reasons, not the

0:36:10.440 --> 0:36:12.839
<v Speaker 1>sort of beer learnings, but also the general interest rates

0:36:12.840 --> 0:36:14.879
<v Speaker 1>and everything else going on. So I think that sort

0:36:14.880 --> 0:36:17.360
<v Speaker 1>of reckoning that libits that are reckoning the new reality

0:36:17.360 --> 0:36:20.600
<v Speaker 1>of new valuations in the private markets has been delayed

0:36:20.640 --> 0:36:22.600
<v Speaker 1>by the availables of ectual death and that will go

0:36:22.680 --> 0:36:25.520
<v Speaker 1>down now. Well, I kind of crystallized that for me.

0:36:25.600 --> 0:36:30.520
<v Speaker 1>You have offices across basically euro denominated markets Mainland Europe,

0:36:30.560 --> 0:36:36.760
<v Speaker 1>Sterling denominated in the UK, Corona denominated. Where are the opportunities?

0:36:36.760 --> 0:36:38.640
<v Speaker 1>How do you play that environment when it comes to

0:36:38.680 --> 0:36:43.439
<v Speaker 1>investing in private technology companies now? So we basically tried

0:36:43.480 --> 0:36:46.160
<v Speaker 1>to identify Nichous or Subnichus, you know it could be,

0:36:47.040 --> 0:36:50.040
<v Speaker 1>but typically areas whether the Nortyes and northwest beer drinking

0:36:50.080 --> 0:36:53.120
<v Speaker 1>Europe is what we call our results. And basically it's

0:36:53.200 --> 0:36:55.239
<v Speaker 1>really interesting that, you know, when I remember I moved

0:36:55.280 --> 0:36:57.360
<v Speaker 1>to the US in ninety seven to do my MBA

0:36:57.440 --> 0:36:59.520
<v Speaker 1>and I was shocked that it was still cash in news,

0:36:59.560 --> 0:37:02.040
<v Speaker 1>so check books and news. Sorry, move back from my

0:37:02.080 --> 0:37:03.839
<v Speaker 1>reunion in ten years lad news to these in cash.

0:37:04.120 --> 0:37:07.080
<v Speaker 1>These these very sort of digital environments, which is really interesting.

0:37:07.160 --> 0:37:09.240
<v Speaker 1>We can use that as a laboratory to build global

0:37:09.280 --> 0:37:12.440
<v Speaker 1>winners from. And interestingly, you know when you have something

0:37:13.239 --> 0:37:16.880
<v Speaker 1>a flatter salary structure. Our big companies, for example, easy

0:37:16.960 --> 0:37:19.440
<v Speaker 1>Park has one and a half million parking transactions to

0:37:19.480 --> 0:37:21.160
<v Speaker 1>day through the system. We have ten million customers in

0:37:21.160 --> 0:37:23.040
<v Speaker 1>the US now we know them on the name park.

0:37:23.120 --> 0:37:26.440
<v Speaker 1>Now when we want to hire a developer, that actually

0:37:26.440 --> 0:37:29.120
<v Speaker 1>costomers double in Atlanta compared to Stockholm. So you have

0:37:29.200 --> 0:37:31.200
<v Speaker 1>this perception that these are high cost economies, but it's

0:37:31.200 --> 0:37:34.600
<v Speaker 1>actually quite cheap to build technology. But because blue color

0:37:34.680 --> 0:37:38.040
<v Speaker 1>is quite expensive, the return on deploying technologies very high.

0:37:38.040 --> 0:37:40.600
<v Speaker 1>So that's often what we see be to being driven

0:37:40.760 --> 0:37:46.200
<v Speaker 1>sas lative Yes, healthcare, those kind of bond al managing partner,

0:37:46.280 --> 0:37:49.000
<v Speaker 1>chief investment officer of good catch up, good to see

0:37:49.360 --> 0:38:02.120
<v Speaker 1>from US life. Netflix to expand its budding video game

0:38:02.239 --> 0:38:06.600
<v Speaker 1>service beyond smartphones and tablets and bring it to your TV.

0:38:06.760 --> 0:38:09.600
<v Speaker 1>App developer Steve Mosa is the one who discovered it,

0:38:09.640 --> 0:38:14.160
<v Speaker 1>finding some code hidden within Netflix's app that includes references

0:38:14.200 --> 0:38:18.200
<v Speaker 1>to games played on TV. Netflix launched its gaming effort

0:38:18.200 --> 0:38:21.440
<v Speaker 1>on iPhones iPads and Android devices back in twenty twenty one,

0:38:21.719 --> 0:38:25.120
<v Speaker 1>releasing titles like Into the Dead two, Unleashed or Stranger

0:38:25.200 --> 0:38:28.440
<v Speaker 1>Things three, The Game, and Card Blast. The idea here

0:38:28.520 --> 0:38:32.200
<v Speaker 1>is to expand the experience to TV, supplement Netflix's shows

0:38:32.200 --> 0:38:35.280
<v Speaker 1>and movies, and help retain customers as the company raises

0:38:35.320 --> 0:38:39.160
<v Speaker 1>subscription prices. Now, the findings in Netflix's app code don't

0:38:39.520 --> 0:38:42.480
<v Speaker 1>guarantee that the company will follow through with the TV idea,

0:38:42.880 --> 0:38:45.759
<v Speaker 1>but it does indicate that's what the company has been

0:38:45.800 --> 0:38:50.360
<v Speaker 1>turning testing internally. All right, let's go from gaming to

0:38:50.440 --> 0:38:53.759
<v Speaker 1>the metaverse, because the metaverse dream is not dead, at

0:38:53.800 --> 0:38:56.880
<v Speaker 1>least that's according to Meta's Nick Clegg, the social media's

0:38:56.880 --> 0:38:59.799
<v Speaker 1>head of global affairs, took to the metaverse yesterday to

0:39:00.120 --> 0:39:03.319
<v Speaker 1>cyst that the future of computing will take place on

0:39:03.400 --> 0:39:07.600
<v Speaker 1>that still not quite yet defined virtual world. That's sorts

0:39:07.600 --> 0:39:11.920
<v Speaker 1>Bloomberg's Match Taffkin BusinessWeek columnists are they are? They know?

0:39:12.160 --> 0:39:14.439
<v Speaker 1>I've done a lot of reporting about and cutting back.

0:39:14.600 --> 0:39:16.640
<v Speaker 1>Nick Clegg puts a headset on and comes out what

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<v Speaker 1>they are? What's the latest? Well, I mean it sounds like,

0:39:20.480 --> 0:39:23.360
<v Speaker 1>first of all, Meta Facebook has put so much money

0:39:23.360 --> 0:39:26.240
<v Speaker 1>into this thing and it's and as we know, it's

0:39:26.280 --> 0:39:29.239
<v Speaker 1>it's very important to Mark Zuckerberg. And for all the

0:39:29.280 --> 0:39:32.560
<v Speaker 1>talk of you know, the Year of Efficiency and all that,

0:39:33.000 --> 0:39:35.719
<v Speaker 1>this is still Mark Zuckerberg's company. He thinks it's the future,

0:39:35.840 --> 0:39:38.120
<v Speaker 1>and he thinks it's a way for Facebook meta to

0:39:38.360 --> 0:39:41.319
<v Speaker 1>own the next big platform. Um, I think, you know,

0:39:41.400 --> 0:39:43.560
<v Speaker 1>the jury really very much is still out here. We're

0:39:43.560 --> 0:39:46.839
<v Speaker 1>seeing all these other big companies pull back on their

0:39:46.880 --> 0:39:51.280
<v Speaker 1>metaverse ambitions. And when you look at the investment that

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<v Speaker 1>this company has put in to this new technology in

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<v Speaker 1>terms of advertising, in terms of research, they are not

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<v Speaker 1>seeing much of a return. Here. We're talking about, you know,

0:40:00.040 --> 0:40:03.560
<v Speaker 1>tens of billions of dollars Super Bowl ads and relatively

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<v Speaker 1>few users at least when we're talking about the sort

0:40:06.480 --> 0:40:09.200
<v Speaker 1>of horizon product, which is the product that you know,

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<v Speaker 1>Zuckerberg thinks is the future. Yeah, all right, Bloomberg's match

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<v Speaker 1>Chaffkin keeping us up to date with the metaverse, Well,

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<v Speaker 1>little won't it. We're not going to decide today now.

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<v Speaker 1>The weeks after Elon Musk acquired Twitter, hundreds of advertisers

0:40:22.080 --> 0:40:25.600
<v Speaker 1>pause spending on the platform, where the changes the billionaire

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<v Speaker 1>might bring. Months later, many of those advertisers still haven't returned,

0:40:30.400 --> 0:40:33.120
<v Speaker 1>despite efforts by Twitter sales team to woo them back

0:40:33.160 --> 0:40:36.719
<v Speaker 1>with steep discounts and new safety tools. With the reporting

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<v Speaker 1>Bloomberg's Iish accounts interesting story. You know, Elon's been kind

0:40:41.840 --> 0:40:44.360
<v Speaker 1>of public about some of the changes to the platform.

0:40:44.560 --> 0:40:46.759
<v Speaker 1>What's less public is how it's been received. What have

0:40:46.800 --> 0:40:49.160
<v Speaker 1>you learned in your reporting? Yeah, so what we heard.

0:40:49.200 --> 0:40:52.239
<v Speaker 1>We talked to some of the major advertising agencies, and

0:40:52.320 --> 0:40:54.839
<v Speaker 1>really the discounts and all that are great, but that's

0:40:54.920 --> 0:40:57.840
<v Speaker 1>not moving they needed for them. It really is Musk.

0:40:58.160 --> 0:41:01.520
<v Speaker 1>It's some of his erratic decison making, right. It's the

0:41:01.600 --> 0:41:04.279
<v Speaker 1>lack of content moderation on the platform. Right, there's been

0:41:04.280 --> 0:41:08.040
<v Speaker 1>a resurgence of hate speech, and so it's really those things, Right,

0:41:08.080 --> 0:41:10.480
<v Speaker 1>what kind of content is their ad going to be

0:41:10.520 --> 0:41:14.600
<v Speaker 1>next to? That's keeping them off of the platform Twitter structurally,

0:41:14.680 --> 0:41:17.319
<v Speaker 1>his Mason changes, the platform looks different basically to how

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<v Speaker 1>it did a year ago. Which parts of that are

0:41:19.880 --> 0:41:21.759
<v Speaker 1>advertising is worried about. I mean, did they just not

0:41:21.920 --> 0:41:25.680
<v Speaker 1>see the value of advertising on it? Yeah, it's part

0:41:25.719 --> 0:41:29.240
<v Speaker 1>of that, right, Like in although Twitter has had actually

0:41:29.320 --> 0:41:32.440
<v Speaker 1>more daily active users right from us, right, it's but

0:41:32.600 --> 0:41:35.759
<v Speaker 1>even still like there's been so much internal change in

0:41:35.880 --> 0:41:38.799
<v Speaker 1>chaos that it's made it really difficult. So the head

0:41:38.840 --> 0:41:41.720
<v Speaker 1>of sales they thought was gone, but then he actually

0:41:41.760 --> 0:41:44.560
<v Speaker 1>wasn't gone. And there's been so many internal changes within

0:41:44.600 --> 0:41:48.160
<v Speaker 1>the sales organization that advertisers are losing their points of contact.

0:41:48.239 --> 0:41:50.719
<v Speaker 1>They don't even know who to contact or talk to

0:41:50.760 --> 0:41:53.760
<v Speaker 1>anymore about their ads, and so that makes it difficult.

0:41:53.760 --> 0:41:55.960
<v Speaker 1>So it's really a lot of the internal chaos and

0:41:56.080 --> 0:41:58.760
<v Speaker 1>organizational changes that make it confusing for them to even

0:41:58.920 --> 0:42:01.399
<v Speaker 1>know who to talk to. All right, Bloomberg's actually counts

0:42:01.480 --> 0:42:04.600
<v Speaker 1>terrific reporting. Thank you. That does it for this edition

0:42:04.600 --> 0:42:08.120
<v Speaker 1>of Bloomberg Technology, don't forget so much to recap across AI,

0:42:08.239 --> 0:42:11.200
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0:42:11.239 --> 0:42:16.360
<v Speaker 1>find your podcast Apple, Spotify, iHeart, or on our Bloomberg channels.

0:42:16.960 --> 0:42:18.719
<v Speaker 1>One more day to go in this week. The tech

0:42:18.800 --> 0:42:21.480
<v Speaker 1>sector ending the first quarter on a high and has

0:42:21.520 --> 0:42:24.680
<v Speaker 1>that one hundred second best quarter of the decade. More

0:42:24.719 --> 0:42:25.920
<v Speaker 1>to come. This is Bloomberg