WEBVTT - Intel Soars on Potential Deals, Musk says Grok-3 is "Smartest AI"

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news from the heart of

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<v Speaker 1>where innovation, money and power collide in Silicon Valley and beyond.

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<v Speaker 1>This is Bloomberg Technology with Caroline Hyde and.

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<v Speaker 2>Ed Ludlow live from New York.

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<v Speaker 3>I'm Tim Steneveek and I'm Jackie Devalas in San Francisco.

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<v Speaker 3>This is Bloomberg Technology coming up. Intel shares are soaring

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<v Speaker 3>on reports that both TSMC and Broadcom are only potential

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<v Speaker 3>deals that would split the US chip making Giant. In

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<v Speaker 3>two plus, Elon Musk's artificial intelligence startup XAI showcases it's

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<v Speaker 3>updated Grock three model, a rush challenge to open AI,

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<v Speaker 3>and we'll dive into concerns around AI safety as companies

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<v Speaker 3>and governments appear to change their attitudes on how to

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<v Speaker 3>make the technology safer. But first let's look at markets. Tim,

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<v Speaker 3>what are you looking at?

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<v Speaker 4>I'm looking at the Nazaq one hundred, searching for a

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<v Speaker 4>little bit of direction you can see down not even well,

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<v Speaker 4>not even one tenth of one percent, bouncing between gains

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<v Speaker 4>and losses throughout the session so far, Traders watching the

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<v Speaker 4>latest geopolitical developments. All eyes are what's happening in Eastern Europe.

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<v Speaker 4>This is the US and Russia agreed to more talks

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<v Speaker 4>on resolving the war in Ukraine, but set no date

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<v Speaker 4>for a summit meeting between Donald Trump and Vladimir Putin

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<v Speaker 4>Ukraine's of Vladimir's Olenski canceling his visit.

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<v Speaker 2>To Saudi Arabia. So we'll bring you updates on that

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<v Speaker 2>as we do get them. I am watching.

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<v Speaker 4>Shares of Intel though, up about ten percent as we speak,

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<v Speaker 4>surging after the Wall Street Journal reported that both TSMC

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<v Speaker 4>and Broadcom are molling separate potential deals that would split

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<v Speaker 4>Intel into two. Now the journal is reporting that Broadcom

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<v Speaker 4>would be interested in the chip design and market business. Well,

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<v Speaker 4>TSMC is apparently interested in Intel's chip plants. Today's serge, though,

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<v Speaker 4>does come after Intel had its best week all the way.

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<v Speaker 2>Going back to the year two thousand.

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<v Speaker 4>Shares rows more than twenty percent last week on reports

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<v Speaker 4>that the US government is possibly getting involved with a

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<v Speaker 4>plan that involves both Intel and TSMC.

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<v Speaker 3>Jackie, let's get right too with Bloomberg's Bryan Westelica. Ryan,

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<v Speaker 3>let's talk about those chip plans which Intel is operating

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<v Speaker 3>currently at a loss. What could a potential deal with

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<v Speaker 3>TSMC mean for that business.

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<v Speaker 5>Hey, good afternoon, thanks for having me. So.

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<v Speaker 6>Yeah, so a lot remains unclear right now, but certainly

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<v Speaker 6>this has been a real drag on Intel for quite

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<v Speaker 6>an extended period of time. Obviously, the previous CEO invested

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<v Speaker 6>heavily in the foundry business, you know, billions of dollars

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<v Speaker 6>and really see too much of a return on that.

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<v Speaker 6>It is well behind TSMC and Samsung. So people are

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<v Speaker 6>really looking to see if there is any kind of

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<v Speaker 6>you know, sort of resk you for the foundry business

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<v Speaker 6>that is really expected to really support Intel. If there

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<v Speaker 6>is some kind of deal coming to fruition.

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<v Speaker 4>Ryan, what would be left of Intel if it's TSMC

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<v Speaker 4>and Broadcom were to succeed in this as reported by

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<v Speaker 4>the journal.

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<v Speaker 5>Yeah, that's a great question.

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<v Speaker 6>Again, so many details are still up in the air,

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<v Speaker 6>not yet confirmed. I mean, you know, there is such

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<v Speaker 6>a focus on domestic manufacturing. Intel got a lot of

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<v Speaker 6>money from the Chips Act. It was building out a

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<v Speaker 6>factory in Ohio, for example, So there is certainly a

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<v Speaker 6>geopolitical aspect to this. People want to see more domestic

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<v Speaker 6>chip manufacturing, and if TSMC is able to work with

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<v Speaker 6>Intel in some capacity, obviously that would probably be good

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<v Speaker 6>for PSMC to have more of a domestic presence here,

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<v Speaker 6>certainly good for Intel. But again, we really don't know

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<v Speaker 6>what any of this is going to end up looking like,

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<v Speaker 6>if anything does come to fruition.

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<v Speaker 3>Ryan, Let's talk about some other non sexy names in tech,

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<v Speaker 3>like IBM and Cisco. You wrote this morning that they're

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<v Speaker 3>kind of seeing a run up and showing themselves to

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<v Speaker 3>be AI contenders. What's leading this enthusiasm.

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<v Speaker 6>Yeah, so Cisco last week gave a pretty positive revenue

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<v Speaker 6>forecast talking about the demand it is seeing related to

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<v Speaker 6>all the AI infrastructure that is being built out. IBM

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<v Speaker 6>earlier this year had a pretty strong forecast of its own,

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<v Speaker 6>some strong long term sales targets. These are two companies

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<v Speaker 6>that you know, were sort of forgotten by a lot

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<v Speaker 6>of investors. They are nowhere near you know, like you said,

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<v Speaker 6>they're sexy heydays like Cisco still below its dot com

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<v Speaker 6>erapeak from two thousand, but you know, as it's starting

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<v Speaker 6>to see a little bit more of a growth narrative,

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<v Speaker 6>especially really to AI, people are taking another look. These

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<v Speaker 6>are stocks that are you know, trading at pretty considerable

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<v Speaker 6>discounts to the max seven names. They have pretty strong

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<v Speaker 6>dividend yield. So in a period of time when people

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<v Speaker 6>are maybe wondering, have the Max seven gone too far?

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<v Speaker 5>Is this story already priced in?

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<v Speaker 6>Having some new AI stocks in there, especially mature companies

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<v Speaker 6>with pretty solid cash flow and dividends and so forth

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<v Speaker 6>trading at lower multiples, you can see white people might

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<v Speaker 6>be taking another look at them.

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<v Speaker 4>Well, let's stick with the Mag seven. Bloomberg's Ryan Vistelica

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<v Speaker 4>joining us from Chicago. Always good to see you, Ryan.

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<v Speaker 4>For more, I do want to bring in Dana Dioria.

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<v Speaker 4>She's group president over at invest Net Solutions, also co

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<v Speaker 4>chief investment officer at invest Net. Dana, we heard Ryan

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<v Speaker 4>just now talking about the Mag seven. It's more than

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<v Speaker 4>thirty percent of the makeup of the S and P

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<v Speaker 4>five hundred, those seven stocks. How are your clients diversifying

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<v Speaker 4>away from the MAG seven? Are they overinvested in them?

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<v Speaker 5>Well?

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<v Speaker 7>I mean so, beauties in the eye of the holder, right,

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<v Speaker 7>So there's a lot of you know, research that suggest look,

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<v Speaker 7>if you are invested.

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<v Speaker 8>In the market, the market, the market's.

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<v Speaker 7>Determination is this is what these stocks are worth, and

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<v Speaker 7>you know they're invested where they should be. I think

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<v Speaker 7>a lot of our clients though, are looking at that,

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<v Speaker 7>and obviously on investment, we're talking about retail clients with

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<v Speaker 7>advisors managing our assets, and they look to diverse.

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<v Speaker 8>By in other places. They look to have an overall

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<v Speaker 8>globally allocate portfolio.

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<v Speaker 7>That has international investments that perhaps leans a little bit

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<v Speaker 7>into small caps. But let's be honest, if you are

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<v Speaker 7>you know, more than fifty cents on the dollar that

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<v Speaker 7>goes into our platform goes into passive assets. So if

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<v Speaker 7>you're there, you've got a ton of you said it yourself,

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<v Speaker 7>it's it's thirty percent right of the SMP. But even

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<v Speaker 7>if you're in an actively managed strategy, it's very hard

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<v Speaker 7>at this point to have a ton of tracking error

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<v Speaker 7>to the passive index because it's performed so well in

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<v Speaker 7>the last several years.

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<v Speaker 3>Dana, there's a couple of different ways that we can

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<v Speaker 3>look at tech companies. Now you have software, hardware, enterprise

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<v Speaker 3>and then the consumer focus. How are you thinking about

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<v Speaker 3>how to bucket these sorts of investments going forward and

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<v Speaker 3>the sorts of catalysts you're looking from each bucket?

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<v Speaker 7>Well, so I think you know, for the average client

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<v Speaker 7>on the platform, it's more about the sector, and it's

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<v Speaker 7>more about, you know, where is the sector from a

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<v Speaker 7>market cap weighted perspective within the indexes. And then if

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<v Speaker 7>you're in say a Rust one thousand growth actively managed strategy,

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<v Speaker 7>how are the how is that manager doing that bucketing?

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<v Speaker 8>How are they thinking about playing the AI trade? For example?

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<v Speaker 8>Is it a question of you know, do I diverse by.

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<v Speaker 7>Again away from saying Nvidia right, and and this has

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<v Speaker 7>been a big struggle for them because you know, you

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<v Speaker 7>have to meet forty act rules around diversification in a

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<v Speaker 7>lot of cases, and it's hard to do when you

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<v Speaker 7>have more than fifty percent of say the Russell one

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<v Speaker 7>thousand growth uh, you know, invested in these mag seven

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<v Speaker 7>And so I think that bucketing helps where a good

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<v Speaker 7>active manager who's able to look at the tech sector

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<v Speaker 7>and say, okay, you.

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<v Speaker 8>Know, I see opportunity sets.

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<v Speaker 7>Maybe in some of these suppliers to big you know,

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<v Speaker 7>to the MAG seven right, and these different parts of

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<v Speaker 7>the market where I can still kind of take that

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<v Speaker 7>growthy bet on AI and tech, but.

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<v Speaker 8>Not necessarily you know, be so heavily focused.

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<v Speaker 7>On the MAG seven and you know, not meeting those

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<v Speaker 7>diversification roles. So I think that's something that you know,

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<v Speaker 7>these managers struggle with and every time we see sort

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<v Speaker 7>of a dip, you know, it's a question is it

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<v Speaker 7>a buying opportunity to kind of leg more into those

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<v Speaker 7>types of things as opposed.

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<v Speaker 8>To actually diversifying.

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<v Speaker 3>You know, that's kind of the question where can we

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<v Speaker 3>find certainty? And I know that's asking a lot given

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<v Speaker 3>these days, but when we think about where we can

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<v Speaker 3>see the tangible return, you have concerns around infrastructure capacity

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<v Speaker 3>and then at the same time and consumer you just

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<v Speaker 3>don't really know how these sorts of features are going

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<v Speaker 3>to be monetized. Which one do you think holds more

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<v Speaker 3>certainty for investors?

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<v Speaker 7>Well, I mean, I think the energy theme has been

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<v Speaker 7>a huge one. It's it comes across and you know,

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<v Speaker 7>so we sit at the junction of hundreds of asset managers,

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<v Speaker 7>so we kind of get a good sense of where,

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<v Speaker 7>you know, the zeitgeist is sort of leaning, and I

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<v Speaker 7>would say to you that the secular trend and energy

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<v Speaker 7>has definitely been a theme.

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<v Speaker 8>I also think people understand that this administration.

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<v Speaker 7>Is probably going to be not like pro growth, but

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<v Speaker 7>you know, helpful and terms of energy centers, you know,

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<v Speaker 7>helping the energy sector in general. Here in the US,

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<v Speaker 7>and I have a view. You know that we're going

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<v Speaker 7>to have to meet the energy demands over the next

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<v Speaker 7>several years and into the next you know, decade, et cetera.

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<v Speaker 8>You're going to have energy sources from everywhere. It just

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<v Speaker 8>is what it is.

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<v Speaker 7>So sustainable, yes, you know, more traditional incumbent. Yes, We're

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<v Speaker 7>just not there yet to kind of transition over to sustainable.

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<v Speaker 7>So I think energy is a play that probably a

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<v Speaker 7>lot of investors have focused on for this and you know,

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<v Speaker 7>particularly with this administration, they see the opportunity set there.

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<v Speaker 8>You know, even before AI.

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<v Speaker 7>Right, our energy needs we're going to increase just looking

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<v Speaker 7>at demographic trends, population growth, you know, parts of the

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<v Speaker 7>world that are moving into a better standard of living,

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<v Speaker 7>which is what we obviously want to see. But all

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<v Speaker 7>of that is going to create energy demands even before

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<v Speaker 7>you get to the AI.

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<v Speaker 4>Trade growth versus value. It's a debate that I've been

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<v Speaker 4>having with guests. I started doing this, Is this finally

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<v Speaker 4>the year? I mean, growth is one every year I've

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<v Speaker 4>been doing this, Is this finally the year that we

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<v Speaker 4>see value?

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<v Speaker 2>I perform?

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<v Speaker 8>It is so hard to be a value manager.

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<v Speaker 7>You know, here's what I would say January effect is interesting.

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<v Speaker 7>It's not statistically significant, but you know, there's a little

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<v Speaker 7>signal in there. January did see out performance of value.

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<v Speaker 7>I think, look the notion that we are higher for

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<v Speaker 7>longer on interest rates. Traditionally speaking, that should benefit value,

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<v Speaker 7>right because more of those cash flows are coming earlier,

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<v Speaker 7>and so when you have a higher discount rate, the

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<v Speaker 7>growth stocks should theoretically be impacted worse by that because

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<v Speaker 7>they have more longer dated cash flows, more years that

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<v Speaker 7>you have to discount by a higher number.

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<v Speaker 8>So yeah, theoretically there's some makings for that there, but.

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<v Speaker 7>We all know the AI trade can just you know,

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<v Speaker 7>and or other secular trends can can just blow that

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<v Speaker 7>out of the water.

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<v Speaker 8>So it's very hard I think in the short run

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<v Speaker 8>to say what will win what won't win.

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<v Speaker 7>I will say, you know, I think at the end

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<v Speaker 7>of the day, valuation will always still matter.

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<v Speaker 8>It matters more for medium term expect and return.

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<v Speaker 7>To try to trade on it in the short run

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<v Speaker 7>is you know, it doesn't have a good track record

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<v Speaker 7>for that.

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<v Speaker 3>There's hope yet for value investors. Dana Doria from Investment

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<v Speaker 3>thanks for joining us Elon Musk's XAI has debuted its

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<v Speaker 3>latest GROP three model, promising advanced reasoning and even a

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<v Speaker 3>new smart search feature. This comes just days after Musk

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<v Speaker 3>made an unsolicited bid to buy Sam Motman's open Ai,

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<v Speaker 3>which was ultimately rejected for more. Bloomberg Intelligence analyst man

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<v Speaker 3>Deep Singh joins us Now, Man Deep, what do you

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<v Speaker 3>make of this model? How does it stack up to

0:11:45.559 --> 0:11:46.480
<v Speaker 3>xai rivals?

0:11:47.120 --> 0:11:47.320
<v Speaker 5>Yeah?

0:11:47.360 --> 0:11:50.200
<v Speaker 9>Look, I think what they have showed is another reasoning

0:11:50.280 --> 0:11:54.480
<v Speaker 9>model that can do well on certain benchmarks, and clearly

0:11:54.760 --> 0:11:58.240
<v Speaker 9>was trained on one of the biggest clusters out there.

0:11:58.360 --> 0:12:00.280
<v Speaker 2>And you think about you know the number of.

0:12:00.120 --> 0:12:04.400
<v Speaker 9>GPUs they use for this model, So is there anything groundbreaking?

0:12:04.640 --> 0:12:05.360
<v Speaker 5>I don't think so.

0:12:05.679 --> 0:12:08.280
<v Speaker 9>But at the same time, what they're showing is all

0:12:08.320 --> 0:12:12.920
<v Speaker 9>these llms are narrowing, you know, the capability gap they

0:12:12.960 --> 0:12:16.200
<v Speaker 9>had with open ai, and I still think open ai

0:12:16.400 --> 0:12:19.679
<v Speaker 9>is the preferred model when it comes to the usage

0:12:19.720 --> 0:12:22.760
<v Speaker 9>and the distribution they have created for themselves. It would

0:12:22.760 --> 0:12:26.360
<v Speaker 9>be interesting to see how much upsale xai can have

0:12:26.440 --> 0:12:29.760
<v Speaker 9>on their own platform, Twitter and whether users are willing

0:12:29.800 --> 0:12:31.920
<v Speaker 9>to pay a subscription. That will be the real test.

0:12:32.000 --> 0:12:35.559
<v Speaker 9>But clearly I think it scores well on all the benchmarks.

0:12:35.840 --> 0:12:36.200
<v Speaker 2>Mandeep.

0:12:36.320 --> 0:12:39.760
<v Speaker 4>Is the market big enough now and in the future

0:12:40.760 --> 0:12:45.840
<v Speaker 4>for Claude, for chat, GPT, for you know, whatever comes

0:12:45.920 --> 0:12:48.680
<v Speaker 4>next that's being worked on right now. Is it smart

0:12:48.800 --> 0:12:51.599
<v Speaker 4>enough for Gemini? Is it big enough for Gemini? Do

0:12:51.920 --> 0:12:52.800
<v Speaker 4>we need all of these?

0:12:53.200 --> 0:12:53.400
<v Speaker 5>Yeah?

0:12:53.440 --> 0:12:56.480
<v Speaker 9>Look, I mean we just got off the earning season

0:12:57.120 --> 0:12:59.560
<v Speaker 9>in the past one month, and it's very obvious that

0:12:59.600 --> 0:13:02.680
<v Speaker 9>everyone is doubling down when it comes to their capex investments.

0:13:02.720 --> 0:13:05.160
<v Speaker 9>So the market is big enough to answer your question.

0:13:05.640 --> 0:13:07.920
<v Speaker 9>At the same time, our view is that the field

0:13:08.000 --> 0:13:10.640
<v Speaker 9>is narrowing when it comes to the foundational model players.

0:13:10.640 --> 0:13:13.439
<v Speaker 9>And that's where, you know, only the ones with deep pockets,

0:13:13.480 --> 0:13:17.040
<v Speaker 9>your hyperscalers or XAI for that matter, that can spend

0:13:17.080 --> 0:13:19.640
<v Speaker 9>on these you know, billion dollar training runs will be

0:13:19.679 --> 0:13:22.360
<v Speaker 9>the ones who would have the foundational models and they'll

0:13:22.360 --> 0:13:25.400
<v Speaker 9>try to roll it out for all the applications to use.

0:13:25.800 --> 0:13:28.920
<v Speaker 4>Bloomberg Intelligence analyst Mandeep saying and joining us here in

0:13:28.920 --> 0:13:30.640
<v Speaker 4>New York, Mandy, thanks so much.

0:13:30.679 --> 0:13:31.559
<v Speaker 2>Well sticking with AI.

0:13:31.760 --> 0:13:35.160
<v Speaker 4>Meanwhile, open ai co founder Ilias at Skimer is looking

0:13:35.160 --> 0:13:37.600
<v Speaker 4>to raise more than one billion dollars for his startup,

0:13:38.040 --> 0:13:41.440
<v Speaker 4>Safe Superintelligence. It could value the company at over thirty

0:13:41.600 --> 0:13:45.520
<v Speaker 4>billion dollars. According to sources. San Francisco based VC firm

0:13:45.559 --> 0:13:48.680
<v Speaker 4>Green Oaks Capital Partners is leading the deal. For more

0:13:48.800 --> 0:13:52.320
<v Speaker 4>Bloomberg's Kate Clark joins US now here in New York.

0:13:52.520 --> 0:13:55.719
<v Speaker 4>So where does this company sit in the AI world?

0:13:56.160 --> 0:13:58.520
<v Speaker 10>Well, this company is brand new. It was founded in

0:13:58.640 --> 0:14:02.120
<v Speaker 10>June of last year, which its valuation even more incredible.

0:14:02.400 --> 0:14:06.400
<v Speaker 10>The company is trying to create a safe superintelligence, so it's.

0:14:06.280 --> 0:14:06.920
<v Speaker 3>All in the name.

0:14:07.000 --> 0:14:10.080
<v Speaker 10>But otherwise we don't know very much about this company.

0:14:10.120 --> 0:14:12.600
<v Speaker 10>It is very secretive, it is very much under the radar,

0:14:12.720 --> 0:14:14.200
<v Speaker 10>and it's just getting started.

0:14:15.400 --> 0:14:19.680
<v Speaker 3>Kate, what do we know about why investors are interested?

0:14:19.760 --> 0:14:22.240
<v Speaker 3>As you mentioned, it's super new, it's not really generating

0:14:22.560 --> 0:14:25.320
<v Speaker 3>much revenue. And you add on to the fact that

0:14:25.480 --> 0:14:27.880
<v Speaker 3>kind of the word safety is almost coming out of

0:14:28.000 --> 0:14:31.720
<v Speaker 3>vogue this year amid a new administration that doesn't really

0:14:31.960 --> 0:14:35.400
<v Speaker 3>seem to put too much importance on responsible AI. What

0:14:35.480 --> 0:14:37.120
<v Speaker 3>do you make of that? Like, what's kind of the

0:14:38.160 --> 0:14:41.480
<v Speaker 3>hook here for a VC that's investing in this company.

0:14:41.520 --> 0:14:45.720
<v Speaker 10>There's one huge clear hook, and that's the founder, Iliasitzkiber, which,

0:14:45.760 --> 0:14:47.920
<v Speaker 10>as you both know, is a co founder of open ai.

0:14:48.400 --> 0:14:52.080
<v Speaker 10>Longtime chief scientists and a chief architect of those aim models.

0:14:52.520 --> 0:14:55.400
<v Speaker 10>People really truly believe that he is a singular force

0:14:55.480 --> 0:14:58.800
<v Speaker 10>and that whatever he builds will be a massive, massive success.

0:14:59.280 --> 0:15:01.480
<v Speaker 10>The company has zero revenue and we won't see a

0:15:01.520 --> 0:15:05.480
<v Speaker 10>product for years most likely, as it seeks to create

0:15:05.600 --> 0:15:09.600
<v Speaker 10>this safe super intelligence. So truly it is all about

0:15:09.600 --> 0:15:11.960
<v Speaker 10>the founder in this one, and that is what's justifying

0:15:12.000 --> 0:15:15.160
<v Speaker 10>this thirty billion dollar valuation, which by the way, makes

0:15:15.200 --> 0:15:17.440
<v Speaker 10>this one of the most highly valued companies in the world.

0:15:18.120 --> 0:15:20.040
<v Speaker 10>And I don't have the statistics in front of me,

0:15:20.120 --> 0:15:22.440
<v Speaker 10>but I think having zero dollars in revenue and evaluation

0:15:22.520 --> 0:15:23.560
<v Speaker 10>that high is pretty rare.

0:15:23.720 --> 0:15:25.880
<v Speaker 4>I feel like you're, you know, you're sort of emphasizing

0:15:25.880 --> 0:15:27.680
<v Speaker 4>the fact that this company doesn't have a product at

0:15:27.680 --> 0:15:29.440
<v Speaker 4>this point and it's all on the founder and it

0:15:29.440 --> 0:15:31.320
<v Speaker 4>could be worth billions of dollars at this point.

0:15:31.360 --> 0:15:33.640
<v Speaker 2>Can we can we say froth or VC saying froth.

0:15:34.160 --> 0:15:35.120
<v Speaker 3>Vcs are saying froth.

0:15:35.160 --> 0:15:37.040
<v Speaker 10>I mean vcs are also saying this is a once

0:15:37.120 --> 0:15:40.080
<v Speaker 10>in a generation moment, and they want to get on

0:15:40.160 --> 0:15:42.720
<v Speaker 10>board with people like Ilia because they do believe that

0:15:42.760 --> 0:15:45.480
<v Speaker 10>they will someone like him can create the next trillion

0:15:45.560 --> 0:15:48.320
<v Speaker 10>dollar company. So if you believe that, then sure it's

0:15:48.320 --> 0:15:50.320
<v Speaker 10>a great moment. But I think outside of you know,

0:15:50.640 --> 0:15:53.960
<v Speaker 10>maybe Ilia is a unique person who really will create

0:15:53.960 --> 0:15:56.680
<v Speaker 10>that super intelligence. But you're seeing tens of billions of

0:15:56.680 --> 0:15:59.320
<v Speaker 10>dollars go into one year old, two year old companies.

0:16:00.160 --> 0:16:01.760
<v Speaker 10>It'll take five to ten years before we know how

0:16:01.840 --> 0:16:04.240
<v Speaker 10>much money venture capitalists will lose, but they will lose

0:16:04.400 --> 0:16:05.080
<v Speaker 10>a lot of money.

0:16:06.520 --> 0:16:09.840
<v Speaker 3>That's Bloomberg's Kate Clark, thanks for joining us. Coming up,

0:16:09.920 --> 0:16:12.920
<v Speaker 3>we speak to Cato Network CEO Shlomo Kramer as the

0:16:12.960 --> 0:16:15.920
<v Speaker 3>company sees a big revenue boost in twenty twenty four.

0:16:16.240 --> 0:16:17.640
<v Speaker 3>This is Bloomberg.

0:16:44.960 --> 0:16:47.240
<v Speaker 4>Elon musk Dos team is said to be attempting to

0:16:47.280 --> 0:16:50.440
<v Speaker 4>gain access to a broad range of taxpayer data, raising

0:16:50.480 --> 0:16:55.040
<v Speaker 4>concern from Democratic lawmakers over privacy concerns. Strict US laws

0:16:55.080 --> 0:16:58.520
<v Speaker 4>prohibit the disclosure of taxpayer data, with some exceptions for

0:16:58.600 --> 0:17:00.680
<v Speaker 4>law enforcement resources.

0:17:00.720 --> 0:17:03.480
<v Speaker 2>The team is seeking the data but has not yet

0:17:03.840 --> 0:17:04.439
<v Speaker 2>accessed it.

0:17:04.880 --> 0:17:10.240
<v Speaker 3>Jackie cybersecurity firm Cato Networks as they surpassed two hundred

0:17:10.280 --> 0:17:13.760
<v Speaker 3>and fifty million in annual recurring revenue for twenty twenty four.

0:17:14.080 --> 0:17:16.439
<v Speaker 3>That's a jump of forty six percent compared to the

0:17:16.480 --> 0:17:21.160
<v Speaker 3>year prior. Here with us is Cato Network CEO Shlomo Kramer. Solomo,

0:17:21.200 --> 0:17:23.360
<v Speaker 3>at a time when companies are really on the hook

0:17:23.440 --> 0:17:25.199
<v Speaker 3>to show that they can deliver, can you tell us

0:17:25.240 --> 0:17:26.760
<v Speaker 3>where this demand is coming from.

0:17:28.080 --> 0:17:32.439
<v Speaker 11>The demand is coming from all sizes of organization that

0:17:32.640 --> 0:17:39.359
<v Speaker 11>faces increased complexity of point solution and are looking for

0:17:39.440 --> 0:17:45.560
<v Speaker 11>a platform to deliver the network security with operational efficiency

0:17:45.560 --> 0:17:52.280
<v Speaker 11>and business agility. So it's all about digitively transforming IT

0:17:52.400 --> 0:17:55.760
<v Speaker 11>security to serve the digitive business.

0:17:56.280 --> 0:17:56.639
<v Speaker 2>Soloma.

0:17:56.640 --> 0:17:59.960
<v Speaker 4>Are you seeing a decline in demand in terms of

0:18:00.240 --> 0:18:05.240
<v Speaker 4>total spent on this sector due to investment in AI

0:18:05.960 --> 0:18:08.280
<v Speaker 4>or are you seeing investment grow here?

0:18:09.600 --> 0:18:15.479
<v Speaker 11>We are seeing consistent increase in spending on IT security. Actually,

0:18:15.480 --> 0:18:22.360
<v Speaker 11>in the four years following COVID, spend of IT security

0:18:22.400 --> 0:18:27.760
<v Speaker 11>out of IT budget has gone forty percent, while we

0:18:27.840 --> 0:18:31.240
<v Speaker 11>are not more secure now than we were four years ago.

0:18:31.800 --> 0:18:36.439
<v Speaker 11>So actually this is actually the increase in spend is

0:18:36.480 --> 0:18:40.920
<v Speaker 11>the core problem that platforms such as Kato solved.

0:18:41.560 --> 0:18:42.399
<v Speaker 2>So how do we get.

0:18:42.280 --> 0:18:44.479
<v Speaker 4>More secure If people are and companies are spending more

0:18:44.520 --> 0:18:46.640
<v Speaker 4>money but they're not seeing the results when it comes

0:18:46.680 --> 0:18:48.680
<v Speaker 4>to security, how do we get more secure?

0:18:49.920 --> 0:18:58.320
<v Speaker 11>We replaced the fifty point products that an average CISO has.

0:18:58.880 --> 0:19:04.639
<v Speaker 11>With three four call platforms, you know, a platform on

0:19:04.720 --> 0:19:09.480
<v Speaker 11>the endpoint, a platform on the cloud, a CATO on

0:19:09.520 --> 0:19:14.520
<v Speaker 11>the network side, all integrated together. It's much more manageable,

0:19:14.920 --> 0:19:17.639
<v Speaker 11>it's much more agile. You can say yes to the

0:19:17.680 --> 0:19:20.879
<v Speaker 11>business and you can fit it within the budget and

0:19:21.119 --> 0:19:21.960
<v Speaker 11>talent that you have.

0:19:23.280 --> 0:19:26.480
<v Speaker 3>Let's talk about venture capital. Investors are pretty excited about

0:19:26.480 --> 0:19:29.200
<v Speaker 3>cybersecurity startups. They raised a bunch of money in twenty

0:19:29.240 --> 0:19:32.440
<v Speaker 3>twenty four. You US raised around in twenty twenty three,

0:19:32.400 --> 0:19:34.840
<v Speaker 3>two hundred and thirty eight million dollars. I mean, is

0:19:34.880 --> 0:19:36.359
<v Speaker 3>an IPO next for you this year?

0:19:37.840 --> 0:19:42.600
<v Speaker 11>As a growth company, we have many different options, both

0:19:42.640 --> 0:19:46.719
<v Speaker 11>public and private, and the real goal here is to

0:19:46.720 --> 0:19:52.320
<v Speaker 11>build a long term leader in this new category called

0:19:52.400 --> 0:19:56.560
<v Speaker 11>SASS platform for network security.

0:19:57.600 --> 0:20:00.240
<v Speaker 3>Do you see that being as a possibility this year though?

0:20:00.280 --> 0:20:02.880
<v Speaker 3>I mean, if you were to perhaps speculate on who

0:20:02.960 --> 0:20:05.919
<v Speaker 3>potential buyers could be, perhaps not just for your company,

0:20:05.960 --> 0:20:07.560
<v Speaker 3>but kind of in the space in general. As we

0:20:07.600 --> 0:20:09.439
<v Speaker 3>see M and A tick up, what are you seeing?

0:20:10.520 --> 0:20:10.760
<v Speaker 2>Well?

0:20:10.880 --> 0:20:16.119
<v Speaker 11>Really heads on, heads down on building CATO and I

0:20:16.160 --> 0:20:24.320
<v Speaker 11>can't I won't circulate on any financing M and a

0:20:24.359 --> 0:20:25.280
<v Speaker 11>events this year.

0:20:25.560 --> 0:20:27.920
<v Speaker 4>What would be the next financial benchmark? Though you did

0:20:27.960 --> 0:20:30.600
<v Speaker 4>say you've surpassed two undred and fifty million in arr

0:20:30.960 --> 0:20:33.720
<v Speaker 4>for twenty twenty four, what's the next benchmark?

0:20:34.840 --> 0:20:39.439
<v Speaker 11>So you know, Governor assess is the market is going

0:20:39.680 --> 0:20:48.280
<v Speaker 11>twenty six percent AEOV to twenty eight billion dollars in

0:20:48.359 --> 0:20:54.080
<v Speaker 11>less than four years, and we last year we go

0:20:55.280 --> 0:20:59.920
<v Speaker 11>much more than that, and we fully expect to go

0:21:00.400 --> 0:21:04.639
<v Speaker 11>this year also more than the market and take market

0:21:04.680 --> 0:21:07.160
<v Speaker 11>share and continue to build the company.

0:21:07.200 --> 0:21:10.040
<v Speaker 4>What would you say is the market size?

0:21:10.800 --> 0:21:12.080
<v Speaker 2>It's a huge market, you know.

0:21:13.200 --> 0:21:19.040
<v Speaker 11>Essentially, a SASE our category is the third generation of

0:21:19.240 --> 0:21:24.640
<v Speaker 11>network security. It replaces the second generation, which are the appliances.

0:21:25.200 --> 0:21:28.880
<v Speaker 11>These are many tens of billions of dollars that are

0:21:28.920 --> 0:21:32.120
<v Speaker 11>going to be re architected and five to seven years

0:21:32.160 --> 0:21:36.600
<v Speaker 11>from now, eighty to ninety percent of appliances are going

0:21:36.680 --> 0:21:44.160
<v Speaker 11>to be replaced by a SASE cloud implementation. So there's

0:21:44.200 --> 0:21:46.520
<v Speaker 11>a huge potential and we are just in the beginning.

0:21:47.160 --> 0:21:52.560
<v Speaker 11>Less than fifteen percent of enterprises have started implemented SASE,

0:21:53.200 --> 0:21:57.840
<v Speaker 11>and more than almost fifty percent of enterprises are saying

0:21:57.880 --> 0:22:01.120
<v Speaker 11>that they are going to implement US in the next

0:22:01.119 --> 0:22:04.199
<v Speaker 11>three years. So this is literally the money time of

0:22:04.320 --> 0:22:05.040
<v Speaker 11>this cut.

0:22:04.800 --> 0:22:08.399
<v Speaker 4>And goalie Shlomo Kramer, CEO of Cato Networks, thanks so

0:22:08.480 --> 0:22:18.639
<v Speaker 4>much for joining us to appreciate it. Welcome back to

0:22:18.640 --> 0:22:21.040
<v Speaker 4>Bloomberg Technology. I'm Tim Stenoveek in New.

0:22:20.960 --> 0:22:23.800
<v Speaker 3>York and I'm Jackie Devalis in San Francisco.

0:22:24.080 --> 0:22:25.639
<v Speaker 4>Let's get a check on the market. So I do

0:22:25.640 --> 0:22:27.280
<v Speaker 4>want to take a look at shares a super Micro,

0:22:27.320 --> 0:22:29.920
<v Speaker 4>which are just surging. Look at that up thirteen percent.

0:22:30.320 --> 0:22:33.280
<v Speaker 4>It's exciting gain three fourth session in a row. This

0:22:33.400 --> 0:22:36.480
<v Speaker 4>after the totally beat up chip maker issued an aggressive

0:22:36.560 --> 0:22:39.560
<v Speaker 4>long term revenue outlook and pledged to meet a Nasdaq

0:22:39.640 --> 0:22:43.639
<v Speaker 4>deadline to file auditive financial results. Super Micro has rallied

0:22:43.640 --> 0:22:46.080
<v Speaker 4>almost ninety percent this month, putting it on track for

0:22:46.080 --> 0:22:48.880
<v Speaker 4>the best month going back to May of twenty twenty three,

0:22:49.760 --> 0:22:52.400
<v Speaker 4>and it looks like it finally could happen meta platforms

0:22:52.440 --> 0:22:55.440
<v Speaker 4>the parent company on Facebook, Instagram, WhatsApp, and more, halting

0:22:55.640 --> 0:22:59.520
<v Speaker 4>that twenty day winning streak, shares adding more than twenty

0:22:59.520 --> 0:23:02.200
<v Speaker 4>percent over that record run, though shares down about two

0:23:02.240 --> 0:23:04.280
<v Speaker 4>point three percent in today's session.

0:23:05.480 --> 0:23:05.680
<v Speaker 2>Well.

0:23:05.680 --> 0:23:08.720
<v Speaker 4>Creators of a new AI chat bought often claim their

0:23:08.760 --> 0:23:11.600
<v Speaker 4>model is the best the website. Chat Bot Arena puts

0:23:11.640 --> 0:23:14.639
<v Speaker 4>those claims to the test, allowing users to test and

0:23:14.720 --> 0:23:17.520
<v Speaker 4>rank these programs, and bans of the site likely knew

0:23:17.520 --> 0:23:20.560
<v Speaker 4>that Deep seeks are one model would challenge us.

0:23:20.320 --> 0:23:21.960
<v Speaker 2>Built rivals Bloomberg.

0:23:22.040 --> 0:23:24.720
<v Speaker 4>Seth Figgerman is here to tell us more about chat

0:23:24.720 --> 0:23:25.280
<v Speaker 4>Bought Arena.

0:23:25.320 --> 0:23:26.800
<v Speaker 2>What happens on this site.

0:23:26.960 --> 0:23:29.919
<v Speaker 12>Well, it seems thinking that the fate and the temperature

0:23:29.960 --> 0:23:32.359
<v Speaker 12>of a billion dollar industry is being largely shaped by

0:23:32.400 --> 0:23:33.960
<v Speaker 12>a bunch of students that you see Berkeley.

0:23:34.480 --> 0:23:35.640
<v Speaker 5>It's basically a blind test.

0:23:35.680 --> 0:23:38.639
<v Speaker 12>You know, people can try out, I think something two

0:23:38.720 --> 0:23:40.800
<v Speaker 12>hundred different models on the site and put two of

0:23:40.800 --> 0:23:42.280
<v Speaker 12>them against each other. They don't know what they are,

0:23:42.320 --> 0:23:44.120
<v Speaker 12>and they'll ask a question and see which one does better,

0:23:44.160 --> 0:23:46.160
<v Speaker 12>and then they'll vote it up or down. And based

0:23:46.160 --> 0:23:49.600
<v Speaker 12>on that crowdsource ranking, we'll see which rankings which models

0:23:49.600 --> 0:23:51.399
<v Speaker 12>are at the top of the leaguerboard. So Deep Seek

0:23:51.600 --> 0:23:54.320
<v Speaker 12>grows up pretty high for months leading up to the

0:23:54.400 --> 0:23:57.760
<v Speaker 12>launch that captivated everyone, and today as we speak, Grock

0:23:58.000 --> 0:23:59.720
<v Speaker 12>three is rigging high there too, So it's become a

0:23:59.720 --> 0:24:01.800
<v Speaker 12>real bragging right for some of the industry.

0:24:02.800 --> 0:24:05.000
<v Speaker 3>But Seth talk to us about some of the risks

0:24:05.160 --> 0:24:09.359
<v Speaker 3>of some of these crowdsourced platforms that allow us to

0:24:09.440 --> 0:24:12.760
<v Speaker 3>benchmark how well one model is versus another. What can

0:24:12.800 --> 0:24:13.160
<v Speaker 3>go wrong?

0:24:13.280 --> 0:24:14.840
<v Speaker 12>Yeah, it's a great question. I mean, first off, it's

0:24:14.880 --> 0:24:17.439
<v Speaker 12>not definitive. It seems definative, But these are systems that

0:24:17.520 --> 0:24:19.399
<v Speaker 12>could be rigged, and they're starting not being tests for

0:24:19.440 --> 0:24:21.880
<v Speaker 12>every different use case. I think the real point here

0:24:21.920 --> 0:24:24.080
<v Speaker 12>is that one, there are not that many, you know,

0:24:24.240 --> 0:24:27.080
<v Speaker 12>really agreed upon benchmarks right now for AI systems, and

0:24:27.119 --> 0:24:29.560
<v Speaker 12>as these systems get better, there's even fewer. I think

0:24:29.560 --> 0:24:33.840
<v Speaker 12>you're seeing hyperbolic name things like Humanity's last Exam for example,

0:24:33.880 --> 0:24:36.920
<v Speaker 12>as a mogul with test that with And I think also,

0:24:37.160 --> 0:24:38.199
<v Speaker 12>you know, at the end of the day, a lot

0:24:38.240 --> 0:24:40.280
<v Speaker 12>of this as vibes. You know, these systems are all

0:24:40.359 --> 0:24:42.800
<v Speaker 12>kind of similarly competitive right now, so what might feel

0:24:42.800 --> 0:24:44.480
<v Speaker 12>good for one person may feel different for another.

0:24:45.520 --> 0:24:49.480
<v Speaker 3>Always the vibes Bloomberg set viagram and thanks for joining us.

0:24:49.520 --> 0:24:53.639
<v Speaker 3>Concerns around AI safety appear to be shifting, and companies

0:24:53.640 --> 0:24:56.359
<v Speaker 3>and governments are starting to change the language they use

0:24:56.440 --> 0:24:59.200
<v Speaker 3>to talk about the topic. Doctor Margaret Mitchell is the

0:24:59.280 --> 0:25:02.880
<v Speaker 3>chief Ethics Scientists for hugging Face, an open source platform

0:25:02.920 --> 0:25:06.560
<v Speaker 3>for building and training AI. Margaret talked to us about

0:25:06.600 --> 0:25:09.320
<v Speaker 3>the shift and tone that we're seeing not just from

0:25:09.400 --> 0:25:14.200
<v Speaker 3>lawmakers but also from companies as they're starting to really

0:25:14.320 --> 0:25:17.080
<v Speaker 3>reckon with the fact that weren't a completely different eras

0:25:17.160 --> 0:25:18.760
<v Speaker 3>or relates to AI safety.

0:25:20.520 --> 0:25:23.439
<v Speaker 13>Yeah, so in the US, we've seen a shift with

0:25:23.600 --> 0:25:28.159
<v Speaker 13>US companies so like Meta and Google removing some of

0:25:28.200 --> 0:25:30.879
<v Speaker 13>the language that they had in their various terms of

0:25:31.000 --> 0:25:34.680
<v Speaker 13>use and sort of responsible practices. So it's less focused

0:25:34.760 --> 0:25:40.119
<v Speaker 13>on things like accountability, less focused on not participating in

0:25:40.160 --> 0:25:43.159
<v Speaker 13>surveillance that sort of thing, and less of a focus

0:25:43.200 --> 0:25:47.280
<v Speaker 13>on this general concept of safety. And there was recently

0:25:47.320 --> 0:25:50.480
<v Speaker 13>this AI Action summit where jd Vance came and spoke

0:25:50.560 --> 0:25:52.960
<v Speaker 13>and said that he thinks that the focus should now

0:25:52.960 --> 0:25:56.320
<v Speaker 13>be on opportunity and it seems like the larger tech

0:25:56.320 --> 0:25:57.880
<v Speaker 13>companies are our following suit on.

0:25:57.840 --> 0:26:02.000
<v Speaker 4>That, Margaret, If the large tech companies aren't necessarily the

0:26:02.040 --> 0:26:05.359
<v Speaker 4>ones who put the framework into place when it comes

0:26:05.400 --> 0:26:10.239
<v Speaker 4>to rules regulations, does the government need to step in?

0:26:10.280 --> 0:26:11.120
<v Speaker 2>What's your view there?

0:26:12.760 --> 0:26:15.439
<v Speaker 13>Yeah, So my view of the role of government, and

0:26:15.520 --> 0:26:17.879
<v Speaker 13>people have different views here, is that the government should

0:26:17.920 --> 0:26:22.320
<v Speaker 13>be set up to protect the people, not to protect companies,

0:26:23.240 --> 0:26:26.080
<v Speaker 13>you know, creating a marketplace of ideas that companies can

0:26:26.119 --> 0:26:30.080
<v Speaker 13>sort of thrive in, but ultimately stepping in where companies

0:26:30.200 --> 0:26:32.880
<v Speaker 13>can't step in, in order to make sure that there's

0:26:32.880 --> 0:26:36.280
<v Speaker 13>a level playing field that everyone can do the responsible

0:26:36.320 --> 0:26:39.600
<v Speaker 13>thing within the context of market dynamics where you might

0:26:39.640 --> 0:26:43.800
<v Speaker 13>accidentally destroy your company if you're trying to do all

0:26:43.840 --> 0:26:46.199
<v Speaker 13>the things that are the best for the people. Right Like,

0:26:46.359 --> 0:26:49.040
<v Speaker 13>companies exist to make money, and so there needs to

0:26:49.080 --> 0:26:52.439
<v Speaker 13>be a counterbalance that sort of thinks about, well, what

0:26:52.440 --> 0:26:54.719
<v Speaker 13>if we're not making money, what if we care about people,

0:26:55.400 --> 0:26:57.760
<v Speaker 13>and what can we put in place for all companies

0:26:57.840 --> 0:27:00.959
<v Speaker 13>to abide, buy and then change the market place dynamics

0:27:00.960 --> 0:27:02.679
<v Speaker 13>in light of that leveled playing field.

0:27:02.880 --> 0:27:06.000
<v Speaker 4>Well, David Sachs's Crypto and AIS are you confident that

0:27:06.000 --> 0:27:09.560
<v Speaker 4>the Trump administration will put into place policies that will

0:27:09.600 --> 0:27:10.280
<v Speaker 4>protect people.

0:27:13.320 --> 0:27:16.159
<v Speaker 14>I think the jury is still out on that.

0:27:17.359 --> 0:27:21.840
<v Speaker 13>There definitely is interest in growing the economy, so they've

0:27:21.880 --> 0:27:26.520
<v Speaker 13>spoken a lot about creating healthy competition that sort of thing.

0:27:27.080 --> 0:27:27.920
<v Speaker 14>I haven't seen.

0:27:27.720 --> 0:27:33.000
<v Speaker 13>As much of their thoughts on protecting people and what

0:27:33.040 --> 0:27:35.800
<v Speaker 13>that is. I think right now there's sort of a

0:27:35.840 --> 0:27:40.040
<v Speaker 13>reactionary force. So there's always pendulum swings and ethics. People

0:27:40.080 --> 0:27:42.960
<v Speaker 13>care a lot about ethics and safety and things like that,

0:27:43.200 --> 0:27:46.000
<v Speaker 13>and then people absolutely do not. I think we're having

0:27:46.040 --> 0:27:48.920
<v Speaker 13>a little bit of a pendulum swing right now, back

0:27:48.960 --> 0:27:50.320
<v Speaker 13>to not being.

0:27:50.160 --> 0:27:52.200
<v Speaker 14>As concerned about foreseeable risks.

0:27:53.240 --> 0:27:55.760
<v Speaker 13>But you know, hopefully the government will listen to the

0:27:55.760 --> 0:27:58.439
<v Speaker 13>will of the people and step in where no one

0:27:58.480 --> 0:28:01.399
<v Speaker 13>else will help them.

0:28:00.680 --> 0:28:03.640
<v Speaker 3>Margaret, Just a couple of years ago, we had companies

0:28:03.760 --> 0:28:06.040
<v Speaker 3>and just a wide swath of the AI community coming

0:28:06.080 --> 0:28:09.880
<v Speaker 3>out and highlighting the existential risks. Some of these AI

0:28:09.960 --> 0:28:13.720
<v Speaker 3>safety groups of dubbed as dooomer types if you will.

0:28:14.760 --> 0:28:18.800
<v Speaker 3>Elon Musk has a growing influence in Washington, and he's

0:28:18.880 --> 0:28:21.439
<v Speaker 3>been one of those at the forefront of kind of

0:28:21.680 --> 0:28:26.760
<v Speaker 3>highlighting these existential risks as he's building his own AI technology.

0:28:27.080 --> 0:28:29.800
<v Speaker 3>What do you make of his influence, but also the

0:28:29.880 --> 0:28:32.159
<v Speaker 3>existential risks that have been raised before.

0:28:34.000 --> 0:28:36.320
<v Speaker 14>Yeah, so there's a lot to unpack there. This is

0:28:36.359 --> 0:28:38.560
<v Speaker 14>a really big discussion in ethics circles.

0:28:39.560 --> 0:28:41.920
<v Speaker 13>There's a little bit of an issue where people who

0:28:41.960 --> 0:28:46.040
<v Speaker 13>focus on existential risks tend to drown out the concerns

0:28:46.120 --> 0:28:49.840
<v Speaker 13>about current discrimination, so that causes a little bit of

0:28:49.920 --> 0:28:54.720
<v Speaker 13>tension in ethical discussions. Elon Musk in particular, I'm pretty

0:28:54.760 --> 0:28:58.160
<v Speaker 13>concerned about the role he has throughout the government right now,

0:28:58.960 --> 0:29:02.240
<v Speaker 13>but within that's a AI in particular, he doesn't seem

0:29:02.280 --> 0:29:06.440
<v Speaker 13>to be someone who would really stand up for making

0:29:06.440 --> 0:29:12.440
<v Speaker 13>sure technology is not discriminatory or doesn't disproportionately harm some subpopulations.

0:29:13.720 --> 0:29:15.560
<v Speaker 14>So there's a pretty big risk there.

0:29:16.240 --> 0:29:19.800
<v Speaker 13>Existential risk is now less of an issue within the

0:29:19.840 --> 0:29:22.440
<v Speaker 13>past few months, we've seen some stepping down from that

0:29:22.600 --> 0:29:26.280
<v Speaker 13>as part of these pendulum swings, and so one would

0:29:26.320 --> 0:29:29.000
<v Speaker 13>hope that that would mean that the immediate and current

0:29:29.040 --> 0:29:31.800
<v Speaker 13>harms of AI would have more of a center stage.

0:29:32.640 --> 0:29:35.880
<v Speaker 13>But as it seems to be right now, neither current

0:29:35.920 --> 0:29:40.360
<v Speaker 13>harms nor foreseeable harms are really much of the focus.

0:29:41.520 --> 0:29:44.400
<v Speaker 3>Even coming out of the Paris AI Action Summit, so

0:29:44.520 --> 0:29:48.400
<v Speaker 3>much of the language shifted from safety to security, the

0:29:48.520 --> 0:29:53.080
<v Speaker 3>UK Safety Institute being rebranded as the UK Security Institute.

0:29:53.360 --> 0:29:57.240
<v Speaker 3>Where should we look to as a leader for you know,

0:29:57.440 --> 0:30:02.320
<v Speaker 3>how to build not just innovative technology but also responsible

0:30:02.360 --> 0:30:03.240
<v Speaker 3>AI technology.

0:30:04.760 --> 0:30:08.080
<v Speaker 13>Yeah, so there's a bunch of different ways to kind

0:30:08.080 --> 0:30:10.520
<v Speaker 13>of approach This one is via governments, and one is

0:30:10.600 --> 0:30:15.240
<v Speaker 13>via different companies. So like one the company I work for,

0:30:15.360 --> 0:30:18.840
<v Speaker 13>Hugging Face, takes an approach of being transparent and open

0:30:19.120 --> 0:30:22.080
<v Speaker 13>because that's a way of making yourself accountable to people.

0:30:22.440 --> 0:30:25.160
<v Speaker 13>So even in the in marketplace dynamics where you're sort

0:30:25.200 --> 0:30:27.760
<v Speaker 13>of going for profit, you also have to show your

0:30:27.760 --> 0:30:30.080
<v Speaker 13>work and that you're doing responsible things. So this is

0:30:30.080 --> 0:30:33.440
<v Speaker 13>an area where openness can really be helpful in helping

0:30:33.520 --> 0:30:37.560
<v Speaker 13>drive forward responsible practices. And then you know, there's also

0:30:37.600 --> 0:30:39.240
<v Speaker 13>been a lot of really nice work in the EU

0:30:39.360 --> 0:30:42.920
<v Speaker 13>on legislation. The EU and the US are not currently

0:30:43.040 --> 0:30:47.000
<v Speaker 13>fully aligned on what to prioritize, but I've definitely appreciated

0:30:47.040 --> 0:30:49.920
<v Speaker 13>a lot of their work on legislation that looks at

0:30:49.920 --> 0:30:52.480
<v Speaker 13>foreseeable harms and risks as well as benefits.

0:30:52.920 --> 0:30:54.720
<v Speaker 2>Margaret, what are the stakes here? Like?

0:30:54.800 --> 0:30:57.360
<v Speaker 4>What could go wrong if we don't get this right

0:30:57.400 --> 0:30:58.200
<v Speaker 4>as a society.

0:31:00.160 --> 0:31:03.480
<v Speaker 13>Yeah, So we're in a situation right now where there's

0:31:03.520 --> 0:31:08.680
<v Speaker 13>a large centralization of power for the AI companies and

0:31:09.000 --> 0:31:12.280
<v Speaker 13>the larger ones, and they're accruing a lot of wealth

0:31:12.360 --> 0:31:14.560
<v Speaker 13>while a lot of other people are losing their jobs,

0:31:14.960 --> 0:31:18.000
<v Speaker 13>and so there's more and more of a divide between

0:31:18.040 --> 0:31:22.600
<v Speaker 13>the have nots and the have yachts, as Trudeau said recently,

0:31:23.440 --> 0:31:26.800
<v Speaker 13>So you're really seeing that the wealthy people are getting

0:31:26.800 --> 0:31:30.280
<v Speaker 13>wealthier and people who are just struggling by are losing

0:31:30.360 --> 0:31:34.400
<v Speaker 13>their jobs or having their data used in these AI

0:31:34.480 --> 0:31:37.040
<v Speaker 13>systems that then the larger tech companies are benefiting from

0:31:37.120 --> 0:31:40.400
<v Speaker 13>while they can't even get you a basic basic income.

0:31:41.400 --> 0:31:44.040
<v Speaker 14>So this massive divide is happening right now.

0:31:44.800 --> 0:31:48.880
<v Speaker 13>There has been like some discussion about UBI like universal

0:31:48.920 --> 0:31:52.320
<v Speaker 13>basic income, but I haven't seen that really moving forward

0:31:52.360 --> 0:31:56.120
<v Speaker 13>in the AI world, despite the great idea there. And

0:31:56.200 --> 0:31:59.160
<v Speaker 13>so that's happening now. And then that also means that

0:31:59.200 --> 0:32:01.320
<v Speaker 13>people who are dis powered are going to be more

0:32:01.360 --> 0:32:04.720
<v Speaker 13>subject to things like surveillance, more subject to non consensual

0:32:04.840 --> 0:32:08.160
<v Speaker 13>usage of their content kind of way that it can

0:32:08.200 --> 0:32:11.600
<v Speaker 13>be used to further harm them, you know, not give

0:32:11.640 --> 0:32:15.280
<v Speaker 13>them the medical benefits they need, this sort of thing

0:32:15.400 --> 0:32:18.440
<v Speaker 13>because of something they had said on social media. You

0:32:18.480 --> 0:32:21.320
<v Speaker 13>can get into really nasty territory in terms of the

0:32:21.400 --> 0:32:24.600
<v Speaker 13>rights to the general public, the rights that people have.

0:32:25.360 --> 0:32:28.800
<v Speaker 4>Hugging faces Chief Ethics Scientists Margaret Margaret Mitchell, thanks so

0:32:28.840 --> 0:32:31.600
<v Speaker 4>much for joining us, Margaret, do appreciate it well. Now

0:32:31.640 --> 0:32:34.560
<v Speaker 4>Carson Block, founder and CEO of short Sellar Muddy Waters

0:32:34.600 --> 0:32:38.440
<v Speaker 4>sat down with Bloomberg's Huslinda Men to discuss Elon Musk's

0:32:38.480 --> 0:32:41.000
<v Speaker 4>Empire and Testless Future in particular.

0:32:41.120 --> 0:32:41.600
<v Speaker 2>Check it out.

0:32:42.400 --> 0:32:45.760
<v Speaker 15>It's one thing to ask whether you bet on Elon Musk,

0:32:46.400 --> 0:32:49.080
<v Speaker 15>but I would not bet against him, So I don't

0:32:49.080 --> 0:32:52.360
<v Speaker 15>count the capital structure arbitrage trade is betting against him

0:32:52.400 --> 0:32:53.480
<v Speaker 15>because it was pretty edged.

0:32:53.520 --> 0:32:54.800
<v Speaker 2>Maybe that's me being.

0:32:54.600 --> 0:32:58.840
<v Speaker 15>Intellectually disingenuous, but I wouldn't bet against him.

0:32:58.960 --> 0:32:59.320
<v Speaker 5>Now.

0:32:59.800 --> 0:33:03.360
<v Speaker 15>In terms of the robotaxis literally, I think he's been

0:33:03.480 --> 0:33:09.200
<v Speaker 15>saying that Tesla's robotaxi capability is imminent. I think he's

0:33:09.240 --> 0:33:13.800
<v Speaker 15>been saying that since twenty sixteen, So you know, take

0:33:13.960 --> 0:33:15.680
<v Speaker 15>take that with a grain of salt, and you do

0:33:15.840 --> 0:33:19.840
<v Speaker 15>see in the US in Weimo is offering robotaxi services

0:33:19.920 --> 0:33:23.400
<v Speaker 15>where I live in Austin, it won't drive on the freeways.

0:33:24.600 --> 0:33:24.760
<v Speaker 7>You know.

0:33:24.840 --> 0:33:28.160
<v Speaker 15>My understanding is that Tesla's technology, because they won't use lidar,

0:33:28.880 --> 0:33:32.920
<v Speaker 15>is not up to par with with Weimo.

0:33:33.120 --> 0:33:37.480
<v Speaker 2>Or even with Cruise. So yeah, I'd be skeptical of that.

0:33:37.560 --> 0:33:41.560
<v Speaker 15>I mean, do they find appliable local or state government

0:33:41.600 --> 0:33:44.360
<v Speaker 15>somewhere in the US that says, okay, you can run

0:33:44.400 --> 0:33:45.040
<v Speaker 15>the service here.

0:33:45.120 --> 0:33:45.320
<v Speaker 8>Yeah.

0:33:45.400 --> 0:33:47.960
<v Speaker 15>Maybe, but I don't think it's you know, I mean

0:33:48.040 --> 0:33:50.200
<v Speaker 15>even WEIMO is not ready for prime time if you're

0:33:50.240 --> 0:33:51.400
<v Speaker 15>not driving on the freeway.

0:33:51.680 --> 0:33:53.920
<v Speaker 14>So, Carson, would you be a buyer of Tesla.

0:33:53.600 --> 0:33:54.200
<v Speaker 3>Then or not?

0:33:55.760 --> 0:33:58.560
<v Speaker 15>Well, I'll check with the quantitative screen that we have

0:33:58.640 --> 0:33:59.280
<v Speaker 15>and let you know.

0:34:00.120 --> 0:34:03.200
<v Speaker 16>But as it stands now, as it stands now, I mean,

0:34:03.560 --> 0:34:07.760
<v Speaker 16>given where he is with Trump, given his relationship with Trump,

0:34:07.880 --> 0:34:10.480
<v Speaker 16>given the chances of him being able.

0:34:10.280 --> 0:34:14.200
<v Speaker 3>To influence regulation for instance displayed.

0:34:13.920 --> 0:34:16.440
<v Speaker 2>Ge you calculation, Well, that's really a double edged sword.

0:34:16.560 --> 0:34:18.560
<v Speaker 15>And one of the things that I was just you know,

0:34:18.719 --> 0:34:22.680
<v Speaker 15>marveling over on the sixteen and a half hour flight

0:34:22.760 --> 0:34:27.880
<v Speaker 15>here was when you look at how Elon Musk has

0:34:27.920 --> 0:34:31.520
<v Speaker 15>really changed his positioning politically over the years. It needs

0:34:31.560 --> 0:34:34.680
<v Speaker 15>to be darling of the left right, you know, pounding

0:34:34.680 --> 0:34:37.120
<v Speaker 15>the table that oh, we need to electrify the economy,

0:34:37.160 --> 0:34:39.719
<v Speaker 15>we need electric cars or else we're going to die

0:34:39.719 --> 0:34:43.480
<v Speaker 15>as a civilization. We're killing ourselves with CO two emissions,

0:34:43.480 --> 0:34:43.960
<v Speaker 15>et cetera.

0:34:45.000 --> 0:34:46.600
<v Speaker 2>I mean, politically, we know that.

0:34:46.560 --> 0:34:51.160
<v Speaker 15>He's totally switched Poles, but I mean he's allied himself

0:34:51.480 --> 0:34:56.280
<v Speaker 15>very closely with the no, let's be realistic here about

0:34:56.400 --> 0:34:59.799
<v Speaker 15>energy transition. If we're going to transition, we need natural gas,

0:35:00.280 --> 0:35:04.360
<v Speaker 15>nuclear and you know, electrification is a pipe dream. We

0:35:04.400 --> 0:35:06.480
<v Speaker 15>don't have the battery technology. I mean, that's what the

0:35:06.520 --> 0:35:09.520
<v Speaker 15>smarter people on the right, and I happen to agree

0:35:09.560 --> 0:35:12.240
<v Speaker 15>with those views. That's what they're saying. So Elon Musk

0:35:12.320 --> 0:35:16.799
<v Speaker 15>is now aligned with them. So my question is with

0:35:16.880 --> 0:35:19.400
<v Speaker 15>all the focus that he's putting, all the energy is

0:35:19.440 --> 0:35:22.360
<v Speaker 15>putting into Doge, which, by the way, I'm ahead of

0:35:22.400 --> 0:35:25.240
<v Speaker 15>the election, I had no idea whether this was really

0:35:25.320 --> 0:35:28.280
<v Speaker 15>just him trying to be a provocateur or whether.

0:35:28.080 --> 0:35:28.760
<v Speaker 2>He was serious.

0:35:28.960 --> 0:35:34.000
<v Speaker 15>He's serious, he's really focusing on on this Doge, and

0:35:34.719 --> 0:35:37.040
<v Speaker 15>I think he's actually doing some very interesting things there.

0:35:37.080 --> 0:35:41.719
<v Speaker 15>But my question then is in his head, has he

0:35:41.800 --> 0:35:44.320
<v Speaker 15>basically has he admitted.

0:35:43.880 --> 0:35:46.240
<v Speaker 2>To himself that Tesla is.

0:35:46.200 --> 0:35:50.680
<v Speaker 15>It's never going to be. It's that electric vehicles are

0:35:50.719 --> 0:35:56.560
<v Speaker 15>a long long way away from supplanting ices, and that

0:35:56.640 --> 0:35:59.839
<v Speaker 15>it's really a niche product, and that it's you know,

0:36:00.360 --> 0:36:04.480
<v Speaker 15>and has he convinced himself that no, we shouldn't be pushing,

0:36:04.840 --> 0:36:07.440
<v Speaker 15>you know, running head you know, headfirst into trying to

0:36:07.480 --> 0:36:11.279
<v Speaker 15>electrify the grid or trying to electrify our economy. I

0:36:11.320 --> 0:36:14.520
<v Speaker 15>wonder if he's I suspect he has switched views on

0:36:14.600 --> 0:36:17.760
<v Speaker 15>a macro level, but especially with how he thinks about Tesla,

0:36:18.840 --> 0:36:20.480
<v Speaker 15>that would be a little bit embarrassing for him to

0:36:20.520 --> 0:36:24.600
<v Speaker 15>say publicly. So yeah, maybe just banging the table about

0:36:24.600 --> 0:36:28.600
<v Speaker 15>oh ai AI and robotaxis is how he tries to

0:36:28.600 --> 0:36:31.160
<v Speaker 15>cover up that sentiment shift internally.

0:36:32.480 --> 0:36:35.680
<v Speaker 3>That was Muddy Waters founder and CEO Carson Block, along

0:36:35.719 --> 0:36:39.080
<v Speaker 3>with Bloomberg's has Linda. I'm in coming up big text,

0:36:39.120 --> 0:36:43.640
<v Speaker 3>big pullback from DEI. The CEO of inclusion benchmarking platform

0:36:43.719 --> 0:36:46.360
<v Speaker 3>Paradigm joins us. Next, this is Bloomberg.

0:36:51.520 --> 0:36:54.360
<v Speaker 4>Well, following the lead of the Trump administration, some tech companies,

0:36:54.360 --> 0:36:57.640
<v Speaker 4>including Google, Meta, and Amazon are scrapping or rolling back

0:36:57.840 --> 0:37:00.120
<v Speaker 4>DEI diversity, equity.

0:36:59.800 --> 0:37:01.160
<v Speaker 2>And inclusion programs.

0:37:01.480 --> 0:37:04.040
<v Speaker 4>For more on what this change of direction could mean,

0:37:04.080 --> 0:37:06.880
<v Speaker 4>we're joined by Joel Emerson. She's the co founder and

0:37:06.920 --> 0:37:10.280
<v Speaker 4>CEO of Paradigm. It's a platform that helps companies improve

0:37:10.680 --> 0:37:14.960
<v Speaker 4>and benchmark inclusion efforts. Joelle, good to see you. You know,

0:37:15.120 --> 0:37:17.880
<v Speaker 4>I'm curious, I would imagine you kind of have a

0:37:17.920 --> 0:37:20.120
<v Speaker 4>problem with the premise of the question here, because you

0:37:20.239 --> 0:37:22.799
<v Speaker 4>argue that these companies are not in fact rolling back

0:37:22.840 --> 0:37:25.120
<v Speaker 4>their DEI programs. But I got to tell you, it's

0:37:25.120 --> 0:37:25.920
<v Speaker 4>what it looks like to me.

0:37:27.760 --> 0:37:30.560
<v Speaker 17>You know, I think it's a moment of evolution. Definitely,

0:37:30.640 --> 0:37:32.279
<v Speaker 17>the legal, political.

0:37:31.840 --> 0:37:33.280
<v Speaker 14>Social landscapes are changing.

0:37:34.600 --> 0:37:36.719
<v Speaker 17>But what I see, especially from the companies that we

0:37:36.760 --> 0:37:40.920
<v Speaker 17>work with, is this desire to refocus efforts on programs

0:37:40.960 --> 0:37:43.720
<v Speaker 17>that create fair and inclusive cultures for everyone.

0:37:44.080 --> 0:37:46.120
<v Speaker 14>And the good news is that that's a goal that's.

0:37:46.000 --> 0:37:49.919
<v Speaker 17>Pretty universally popular, and I think, you know, that's going

0:37:49.920 --> 0:37:52.040
<v Speaker 17>to require us some evolution. It's going to look like

0:37:52.080 --> 0:37:55.919
<v Speaker 17>a shift away from maybe some of the more performative

0:37:56.000 --> 0:38:00.640
<v Speaker 17>or high visibility but less impactful to employees types of

0:38:00.680 --> 0:38:02.839
<v Speaker 17>programs that companies might have been focused on, the last

0:38:02.880 --> 0:38:07.720
<v Speaker 17>several years. And I don't think that's necessarily a bad thing, Joell.

0:38:07.880 --> 0:38:10.080
<v Speaker 3>For some of the people that this might affect, the

0:38:10.160 --> 0:38:15.640
<v Speaker 3>underrepresented groups, people of color, women, it's somewhat emboldening when

0:38:15.640 --> 0:38:19.319
<v Speaker 3>you see companies really taking a stand and making their

0:38:19.360 --> 0:38:23.600
<v Speaker 3>stands known publicly. What are some of the drawbacks though,

0:38:23.680 --> 0:38:26.440
<v Speaker 3>of perhaps pulling some of this language back, Even while

0:38:26.480 --> 0:38:29.280
<v Speaker 3>some of these programs are still going on behind the scenes.

0:38:30.680 --> 0:38:32.759
<v Speaker 17>I think the risk is that companies are going to

0:38:32.840 --> 0:38:36.120
<v Speaker 17>signal in some of their messaging that they no longer

0:38:36.200 --> 0:38:38.640
<v Speaker 17>care about casting a wide net for talent. They no

0:38:38.680 --> 0:38:42.400
<v Speaker 17>longer care about building cultures where people from all backgrounds

0:38:42.440 --> 0:38:45.040
<v Speaker 17>and all identities can come together and do their best

0:38:45.080 --> 0:38:48.239
<v Speaker 17>work and thrive, which, you know, communicating that you care

0:38:48.239 --> 0:38:50.400
<v Speaker 17>about those things is actually pretty essential to building a

0:38:50.440 --> 0:38:52.880
<v Speaker 17>future ready company. It's the type of thing that attracts

0:38:53.200 --> 0:38:55.520
<v Speaker 17>the best employees. It's the type of thing that unlocks

0:38:55.520 --> 0:38:58.239
<v Speaker 17>engagement and performance. When you feel like you belong, you

0:38:58.320 --> 0:39:01.400
<v Speaker 17>believe your company cares about these things. So I think

0:39:01.480 --> 0:39:04.960
<v Speaker 17>what companies should do if they truly do still care

0:39:05.000 --> 0:39:07.680
<v Speaker 17>about those goals but just don't want to be associated

0:39:07.680 --> 0:39:11.719
<v Speaker 17>with this now highly charged acronym DEI is communicate more

0:39:11.760 --> 0:39:14.200
<v Speaker 17>precisely about what it is they're actually going to be doing.

0:39:14.560 --> 0:39:16.400
<v Speaker 14>So maybe they are no longer.

0:39:16.120 --> 0:39:22.879
<v Speaker 17>Going to be tying you know, executive compensation to hitting targets, which,

0:39:22.880 --> 0:39:24.960
<v Speaker 17>by the way, is the type of thing we haven't

0:39:25.000 --> 0:39:27.759
<v Speaker 17>seen be all that impactful. It's focused on sort of

0:39:27.760 --> 0:39:30.000
<v Speaker 17>one of the most lagging indicators of whether you're building

0:39:30.200 --> 0:39:34.000
<v Speaker 17>an equitable, inclusive culture and instead talking about how are

0:39:34.000 --> 0:39:35.719
<v Speaker 17>we going to build a culture for everyone? How are

0:39:35.719 --> 0:39:37.560
<v Speaker 17>we going to take a look at what's happening in

0:39:37.640 --> 0:39:40.080
<v Speaker 17>our hiring process and make sure that people from all

0:39:40.120 --> 0:39:43.040
<v Speaker 17>backgrounds have a fair shot at getting hired here, How

0:39:43.040 --> 0:39:44.799
<v Speaker 17>are we going to make sure that we're looking at

0:39:44.840 --> 0:39:47.840
<v Speaker 17>things like who gets promoted or who stays and who leaves,

0:39:48.160 --> 0:39:50.919
<v Speaker 17>and if we're consistently looking at those things and we're

0:39:50.920 --> 0:39:54.680
<v Speaker 17>addressing any problems that we identify, I think that'll help

0:39:54.719 --> 0:39:57.560
<v Speaker 17>employees understand that, you know, the acronym wasn't.

0:39:57.400 --> 0:39:58.800
<v Speaker 14>Really what mattered.

0:39:58.840 --> 0:40:01.400
<v Speaker 17>What mattered is are we actually doing the things that

0:40:01.440 --> 0:40:05.120
<v Speaker 17>make our culture more diverse, more fair, more inclusive. And

0:40:05.160 --> 0:40:06.759
<v Speaker 17>those are actually the types of things that buy and

0:40:06.840 --> 0:40:08.480
<v Speaker 17>large I see companies continuing to.

0:40:08.400 --> 0:40:10.839
<v Speaker 4>Focus on I imagine that you have data that shows

0:40:10.840 --> 0:40:13.960
<v Speaker 4>that there's a business case for doing this. If that

0:40:14.120 --> 0:40:16.600
<v Speaker 4>is indeed the case, then why doesn't the free market

0:40:16.680 --> 0:40:18.240
<v Speaker 4>solve this? Or do you think that the free market

0:40:18.239 --> 0:40:18.759
<v Speaker 4>could solve this?

0:40:20.320 --> 0:40:22.480
<v Speaker 17>I actually think the free market does solve this to

0:40:22.480 --> 0:40:26.080
<v Speaker 17>some extent, which is why I'm not that concerned that

0:40:26.120 --> 0:40:28.560
<v Speaker 17>companies are going to stop doing the things that help

0:40:28.640 --> 0:40:30.880
<v Speaker 17>them compete for the best talent that help them build

0:40:31.160 --> 0:40:32.640
<v Speaker 17>cultures that unlock performance.

0:40:32.840 --> 0:40:34.600
<v Speaker 14>But I think the business case is complicated.

0:40:34.640 --> 0:40:37.279
<v Speaker 17>It's not true that you just make your team, you know,

0:40:37.520 --> 0:40:41.080
<v Speaker 17>somewhat marginally more diverse, and magic happens in your share

0:40:41.080 --> 0:40:44.560
<v Speaker 17>price goes up. I think you know what actually tends

0:40:44.600 --> 0:40:47.600
<v Speaker 17>to unlock performance, what actually tends to drive better business outcomes,

0:40:47.800 --> 0:40:49.720
<v Speaker 17>is some of the hard work of building a healthy

0:40:49.719 --> 0:40:52.520
<v Speaker 17>and inclusive culture. Culture is where people are going to

0:40:52.560 --> 0:40:54.840
<v Speaker 17>speak up if they have an idea that might diverge

0:40:54.840 --> 0:40:57.399
<v Speaker 17>from the norm. Cultures where people who are different from

0:40:57.400 --> 0:41:00.480
<v Speaker 17>each other, which is increasingly true as workplaces just become

0:41:00.520 --> 0:41:03.520
<v Speaker 17>more diverse because the population is becoming more diverse. Creating

0:41:03.560 --> 0:41:05.480
<v Speaker 17>a culture where people who are different from one another

0:41:05.800 --> 0:41:09.799
<v Speaker 17>can come together and collaborate effectively and communicate effectively. These

0:41:09.800 --> 0:41:12.120
<v Speaker 17>things really do matter to company performance, and I don't

0:41:12.120 --> 0:41:15.080
<v Speaker 17>always think it's so obvious whether you're doing that, or

0:41:15.120 --> 0:41:17.720
<v Speaker 17>whether or not or you know, companies are pretty complex.

0:41:17.760 --> 0:41:21.320
<v Speaker 17>It's not always obvious which things are contributing to which outcomes.

0:41:21.440 --> 0:41:23.760
<v Speaker 17>So I think it's important to continue to remind companies

0:41:24.160 --> 0:41:26.720
<v Speaker 17>that you know, a lot of the things that formerly

0:41:26.760 --> 0:41:29.600
<v Speaker 17>might have been categorized under the bucket of DEI are

0:41:29.640 --> 0:41:34.279
<v Speaker 17>actually pretty universally popular and uncontroversial. Things like making sure

0:41:34.320 --> 0:41:36.879
<v Speaker 17>that you're opening up access to your company to people

0:41:36.880 --> 0:41:39.560
<v Speaker 17>from different backgrounds, like veterans who might not have known

0:41:39.600 --> 0:41:43.160
<v Speaker 17>about the technology industry. Things like robust parental leaf policies

0:41:43.200 --> 0:41:47.359
<v Speaker 17>so that caregivers can return to work and continue their

0:41:47.400 --> 0:41:50.080
<v Speaker 17>careers after taking time off to have a child.

0:41:50.800 --> 0:41:52.560
<v Speaker 14>Things like promotion practices that.

0:41:52.560 --> 0:41:55.080
<v Speaker 17>Make sure that we're applying the same standards to everyone

0:41:55.400 --> 0:41:57.640
<v Speaker 17>so it's the actual best person and not just the

0:41:57.680 --> 0:42:00.680
<v Speaker 17>person who's closest friends with the manager who has an

0:42:00.680 --> 0:42:03.640
<v Speaker 17>opportunity to grow. The vast majority of things that we

0:42:03.760 --> 0:42:07.600
<v Speaker 17>categorize previously under this bucket of DEI, they help companies

0:42:07.640 --> 0:42:10.880
<v Speaker 17>perform better, they make organizations more fair, and the vast

0:42:10.920 --> 0:42:12.720
<v Speaker 17>majority of people think they're a good idea.

0:42:12.760 --> 0:42:14.080
<v Speaker 14>And those are the types of things that I just

0:42:14.120 --> 0:42:15.560
<v Speaker 14>don't see companies shifting.

0:42:15.280 --> 0:42:18.560
<v Speaker 3>Away from that. Show Elamerson, CEO of Paradigm, thanks for

0:42:18.640 --> 0:42:22.120
<v Speaker 3>joining us. Coming up, we'll discuss what to expect from

0:42:22.160 --> 0:42:33.080
<v Speaker 3>Apple's event tomorrow. This is Bloomberg Apple CEO Tim Cook

0:42:33.160 --> 0:42:35.920
<v Speaker 3>teasing last week the arrival of quote the newest member

0:42:36.000 --> 0:42:39.399
<v Speaker 3>of our family, Bloomberg Intelligence analyst Anna A. Grano, joins

0:42:39.480 --> 0:42:42.360
<v Speaker 3>us now with more anrog what can we expect next week?

0:42:43.440 --> 0:42:46.759
<v Speaker 18>It's really looking forward to their the cheapest phone that

0:42:46.800 --> 0:42:49.160
<v Speaker 18>they have, the iPhone. I see coming up with a

0:42:49.160 --> 0:42:52.319
<v Speaker 18>big bang. Mark Gorman's already told us about it in

0:42:52.400 --> 0:42:55.880
<v Speaker 18>terms of the foster processor and the larger screen. I

0:42:55.880 --> 0:42:58.279
<v Speaker 18>think this is a good thing for Apple because they're

0:42:58.320 --> 0:43:02.120
<v Speaker 18>really struggling to really break the market share both in

0:43:02.280 --> 0:43:06.239
<v Speaker 18>China and India and Brazil in terms of getting a

0:43:06.320 --> 0:43:08.839
<v Speaker 18>bigger piece of that pie, and a cheaper phone can

0:43:08.880 --> 0:43:10.640
<v Speaker 18>really help them do that.

0:43:10.640 --> 0:43:14.239
<v Speaker 3>That's Bloomberg Intelligences, Anna Igrana, thanks for joining us, and

0:43:14.280 --> 0:43:17.319
<v Speaker 3>that does it for this edition of Bloomberg Technology. Don't

0:43:17.320 --> 0:43:19.239
<v Speaker 3>forget to check out our podcast. You can find it

0:43:19.280 --> 0:43:21.920
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0:43:21.960 --> 0:43:23.400
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