WEBVTT - Cathie Wood's TSMC Sale, Social Media Content Moderation

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news.

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<v Speaker 2>From Mahart where Innovation of Money and Power Collie in

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<v Speaker 2>Silicon Valley, NBN.

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<v Speaker 3>This is Bloomberg Technology with Caroline Hyde and Ed Lovelove.

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<v Speaker 4>I'm Caroline Hyde at Bloomberg's World headquarters in New York.

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<v Speaker 3>And I'm Ed Lovelow in San Francisco. This is Bloomberg Technology.

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<v Speaker 3>We're back and coming up.

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<v Speaker 4>The full market coverage ahead is Kathy Wood Sells into

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<v Speaker 4>the video Frenzy by coming Hunt, SMC, Steak, rewaiting or

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<v Speaker 4>something more details to come.

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<v Speaker 3>Plus, the Supreme Court will hear challenges today on two

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<v Speaker 3>laws that aim to prevent social media platforms from censoring posts.

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<v Speaker 3>We'll have the latest and.

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<v Speaker 4>Jeff Bezos and video and join open Ai to back

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<v Speaker 4>in company developing human like robots. We'll discuss that and

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<v Speaker 4>so much more throughout the hour, but first checking on

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<v Speaker 4>these markets. Little Croquie, as is my voice, We're currently

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<v Speaker 4>up about a ten tove percent. Look, we're clawing into

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<v Speaker 4>a big macro week. We really revert our attention to

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<v Speaker 4>FED speak to economic perspective when we get their core

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<v Speaker 4>PCE details.

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<v Speaker 3>Really, how is inflation.

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<v Speaker 4>Going at the moment? Yesterday all about in vinear and

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<v Speaker 4>in earnings. This week it is all about, of course,

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<v Speaker 4>the eyes on macro. We're looking at socks European six hundred,

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<v Speaker 4>actually just down off of its record high, so a

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<v Speaker 4>little bit of course is training in Europe as well.

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<v Speaker 4>Tenure years up three basis points as we look for

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<v Speaker 4>that inflationary reader. Let's look at what's happening in the

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<v Speaker 4>world at crypto though, because bitcoin as dollar basically flat

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<v Speaker 4>on the day, Crypto is spiking up about two percentage points.

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<v Speaker 3>Hopefull you got on the micro I'm signing the week

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<v Speaker 3>with some m and a Monday. KKR is buying a

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<v Speaker 3>software unit from broad Con for about four billion US dollars.

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<v Speaker 3>This is a unit that basically provides the software for

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<v Speaker 3>remote desktop connection. It's something that Broadcom got out of

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<v Speaker 3>the VMware deal last year. You can see avgo the

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<v Speaker 3>tick of Broadcom. It shares up almost a percentage point.

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<v Speaker 3>Now kk are not doing much but an interesting way

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<v Speaker 3>of starting the week. It's something that Bloomberg had previously reported.

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<v Speaker 3>The other kind of mover story that we're looking at,

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<v Speaker 3>as we always are at the moment, is in Vidia,

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<v Speaker 3>but also the US ad rs or US listed shares

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<v Speaker 3>of TSMC, both moving to the upside in video up

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<v Speaker 3>one point two percent, TSMC hiring US trading four tenths percent.

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<v Speaker 3>As you said, what we saw is our the innovational

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<v Speaker 3>politics is have sell down its physician about nine thousand

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<v Speaker 3>ADRs on TSMC. Now, you can kind of look at

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<v Speaker 3>it as a rewaiting, but the main point is it's

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<v Speaker 3>the first time they've offloaded TSMC shares since twenty twenty one.

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<v Speaker 3>The story seems to be reduce exposure also to Nvidia

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<v Speaker 3>because TSMC the lead contract manufacturer semeis globally, so much

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<v Speaker 3>of the run up in the space has basically been

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<v Speaker 3>the carry through from the AI hyper around in v

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<v Speaker 3>year in the age one hundred. We can get deeper

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<v Speaker 3>into that. It's something that I'm sure many money managers

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<v Speaker 3>around the world care are having to deal with right

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<v Speaker 3>now given the recent performance.

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<v Speaker 4>Let's talk to one of them. So it does money

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<v Speaker 4>with us head of longtime un Constrained Strategies at Martin

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<v Speaker 4>Curry and Vidia largest holding among so is global long

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<v Speaker 4>term unconstrained portfolios. So it is so good to have

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<v Speaker 4>a focus like yours. After the week we've just had

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<v Speaker 4>are you still committed to a name like in video

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<v Speaker 4>when I know you talk about valuation discipline, What does

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<v Speaker 4>one look at an evaluation perspective the forward pes or

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<v Speaker 4>actually just the sheer scale of a two trillion number.

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<v Speaker 1>Yeah, it's a good question, Caroline, Thank you very much

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<v Speaker 1>for having me on your program. For us, it's still

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<v Speaker 1>a case of looking at how the gross opportunity translates

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<v Speaker 1>and how the gross profile for Nvidia comes through. So

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<v Speaker 1>when you look at the AI basket that we follow

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<v Speaker 1>over fifty stocks, there's been a rapid appreciation. So we've

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<v Speaker 1>got over the last twelve months, sixty percent moving share

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<v Speaker 1>prices on average for earnings that have only moved by

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<v Speaker 1>seven percent. And you compare that to Nvidia over the

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<v Speaker 1>last twelve months is up almost two hundred and eighty percent,

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<v Speaker 1>but its earnings have been upgraded by three hundred and

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<v Speaker 1>eighty percent plus, so you've had multiple contraction. So that's

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<v Speaker 1>one aspect to highlight. We want to focus on companies

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<v Speaker 1>that can monetize from AI and where there's more likely

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<v Speaker 1>to be earnings momentum that really follows through.

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<v Speaker 4>So as you've been reporting with the likes of a

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<v Speaker 4>kathe word and a managed gtfare. Do you rewait on

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<v Speaker 4>a more regular basis, Do you have to think about

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<v Speaker 4>broadening your perspective away from an video at SMC to

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<v Speaker 4>some of the other names that perhaps haven't been run

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<v Speaker 4>up as quite so far so fast.

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<v Speaker 1>Yeah, we still focused on companies that can monetize, which

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<v Speaker 1>for us are the companies that provides a pix and

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<v Speaker 1>shovels to the AI opportunity, So the enablers of AI

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<v Speaker 1>or in other words, companies that will benefit from the

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<v Speaker 1>significant investment spend that is going on both by the

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<v Speaker 1>hyperscalers but also corporates will be spending more on AI,

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<v Speaker 1>and so which are the companies that can monetize from that?

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<v Speaker 1>And for us, it's companies like Nvidia that's really well positioned,

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<v Speaker 1>and we believe in Vidia is probably in the same

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<v Speaker 1>position as ASML was ten fifteen years ago as a

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<v Speaker 1>quasi monopoly and enabler of the AI opportunity. And then

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<v Speaker 1>you have companies like Microsoft, which is really positioned across

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<v Speaker 1>three fronts. Firstly their stake in open Ai, secondly their

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<v Speaker 1>cloud provision, and thirdly the fact that they have a

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<v Speaker 1>connection with enterprises. And we believe corporates are the most

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<v Speaker 1>likely entities in the economy that will need to harness

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<v Speaker 1>AI to ensure that they stay productive competitive, because ultimately,

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<v Speaker 1>you don't get competed away by AI when you're a corporate,

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<v Speaker 1>you get competed away by another corporate using AI better

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<v Speaker 1>and faster than you do.

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<v Speaker 3>ZERI. This is what Kathy would had to say on

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<v Speaker 3>X the social media platform. You know, she's been in

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<v Speaker 3>the name long time. She feels that she was early

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<v Speaker 3>to the kind of ball fesis around AI. But our

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<v Speaker 3>own Eric Bautunis, he's our Bloomberry intelligence specialists on ETF.

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<v Speaker 3>She kind of makes the point that don't get bogged

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<v Speaker 3>down and the selling on any given position, think about

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<v Speaker 3>it from a waiting perspective, which Caroline mentioned. So this

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<v Speaker 3>is the table right, and if you look at the

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<v Speaker 3>waiting of TSMC, the ADRs at least and also in

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<v Speaker 3>video within ARKQ, it's remained relatively constant. What you seem

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<v Speaker 3>to have in common with her is that the ball

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<v Speaker 3>thesis is intact, that there is going to be a

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<v Speaker 3>big infrastructure build out. And this is something and I've

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<v Speaker 3>been talking about for quite a long time now, where

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<v Speaker 3>do you look for that infrastructure benefit? If you're an investor, Yeah,

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<v Speaker 3>and that's right.

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<v Speaker 1>I think we were here in September last year and

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<v Speaker 1>at the time we discussed the Nvidia valuation and we

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<v Speaker 1>felt that there was still a lot of support and

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<v Speaker 1>since and the stock is up i think over eighty percent,

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<v Speaker 1>so it's had a very strong run.

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<v Speaker 2>For us.

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<v Speaker 1>It's still about focusing on those companies as I mentioned,

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<v Speaker 1>that can monetize, and NVDA is really well positioned for that.

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<v Speaker 1>The debate will be what is a runway of growth

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<v Speaker 1>and for us over the last twelve months, we've really

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<v Speaker 1>just seen the tip of the iceberg in terms of

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<v Speaker 1>spend being channeled in AI. If you look at some

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<v Speaker 1>of the big tech companies, there's plans to increase capex

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<v Speaker 1>visue by twenty two percent to about one hundred and

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<v Speaker 1>eighty billion dollars when you add up the various big

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<v Speaker 1>tech companies that we follow.

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<v Speaker 3>Sarah, you mentioned Microsoft, You mentioned being able to monetize.

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<v Speaker 3>Do you have the same attitude towards Google or Alphabet

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<v Speaker 3>the parent of Google.

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<v Speaker 1>We're actually one of the investors that is very underweight

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<v Speaker 1>the Magnificence seven in terms of names. So of the seven,

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<v Speaker 1>we only hold two companies in our global strategies, and

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<v Speaker 1>these are Nvidia and Microsoft. So we do that through

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<v Speaker 1>a fundamental assessment, which for US is an assessment of growth, returns,

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<v Speaker 1>profile and valuation as well as taking into a kound

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<v Speaker 1>of various fundamental risks.

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<v Speaker 3>That we assess.

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<v Speaker 4>You have such a global perspective, which we love, and

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<v Speaker 4>in your notes you really talk about some of the risks,

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<v Speaker 4>and one of those is geopolitical. How are you factoring,

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<v Speaker 4>for example, a commitment coming from in video and Jason

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<v Speaker 4>Jensen saying I will remain in China and want to

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<v Speaker 4>still be owning that market when geopolitics or as they are.

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<v Speaker 3>It's a really good question.

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<v Speaker 1>The geopolitics is probably the most important risk that investors

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<v Speaker 1>should focus on. Unfortunately, it's also the most difficult to quantify.

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<v Speaker 1>So for us, as you and I discussed Caroline, we

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<v Speaker 1>took the view that we wanted to reduce the geopolitical

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<v Speaker 1>risk and move to the beneficiaries of technological and geopolitical fragmentation,

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<v Speaker 1>which is when we switched out of TSMC into a SML.

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<v Speaker 1>We believe SML will be a beneficiary of the fragmentation

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<v Speaker 1>in production sites that's currently going on, with plans being

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<v Speaker 1>built in the US, in Japan, and in Europe. So

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<v Speaker 1>for US, when we then look at Nvidia, we believe

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<v Speaker 1>that indeed it will have some challenges in operating in China,

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<v Speaker 1>but it will be adapting its products to make sure

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<v Speaker 1>to be on the right side of the regulation.

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<v Speaker 3>Ziri. About ten days before in Video reported earnings, I

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<v Speaker 3>spoke with Jensen Hwang about the idea of sovereign AI

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<v Speaker 3>and he sees a world in which in Video starts

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<v Speaker 3>doing more business directly with nation states, right countries. It's

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<v Speaker 3>one of your top holdings, and I wondered if the

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<v Speaker 3>analysts on your desk a sign in their models any

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<v Speaker 3>future growth that comes from a purely government contract for

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<v Speaker 3>h one hundreds away from the private sector.

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<v Speaker 1>We believe there's upsite to our forecast from that angle,

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<v Speaker 1>but we certainly agree with Jensen that there will be

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<v Speaker 1>a growing demand coming from sovereign AI as well. There

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<v Speaker 1>is an element of duo political angle to it, and

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<v Speaker 1>Jensen has explained that very well on his earning school

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<v Speaker 1>and we believe that that again create some element of

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<v Speaker 1>tailwind to the earnings momentum, but also it highlights importance

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<v Speaker 1>of making sure that when we forecast companies. We always

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<v Speaker 1>use different type of scenarios and that those scenarios to

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<v Speaker 1>capture some of those eventuality.

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<v Speaker 3>S ried.

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<v Speaker 4>It's always great to have you here. Thank you for

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<v Speaker 4>popping in with us. Usmani of Martin Curry and.

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<v Speaker 3>Some more news. Yeah, another story in the AI space.

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<v Speaker 3>French AI company Mistrau announced a strategic partnership with Microsoft

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<v Speaker 3>today that includes making the startups latest artificial intelligence models

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<v Speaker 3>available to customers of Microsoft's Azure cloud. The move comes

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<v Speaker 3>as Microsoft faces mounting political scrutiny globally for its deep

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<v Speaker 3>ties to Open Ai, which competes with miestrob. Today, the

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<v Speaker 3>Supreme Court is hearing arguments over whether to state laws

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<v Speaker 3>preventing so social media companies from moderating content violate the

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<v Speaker 3>First Amendment. Here for more is Bloomberg's Emily Burnbam, You've

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<v Speaker 3>got a fantastic quick take explaining what is a complicated

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<v Speaker 3>legal situation. Let's start with the basics. What is this

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<v Speaker 3>case about.

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<v Speaker 2>So this case is a challenge from two of the

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<v Speaker 2>tech industry's biggest lobbies. So that's net Choice in CCIA.

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<v Speaker 2>They are challenging laws in Florida and Texas that are

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<v Speaker 2>aimed at preventing social media companies from taking down certain

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<v Speaker 2>kinds of political speech. So the question in the case

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<v Speaker 2>is are the social media companies protected by the First Amendment?

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<v Speaker 2>And the arguments are going on right now.

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<v Speaker 3>When I'm reading your quick take, I'm reminded of what

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<v Speaker 3>happened in twenty twenty the last election cycle when I

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<v Speaker 3>was on the road. The content moderation or the policy

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<v Speaker 3>from the tech companies kind of came as a reaction

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<v Speaker 3>to what happened in that election cycle and the political story.

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<v Speaker 3>To me, it seems like in certain sections of DC

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<v Speaker 3>that they overdid it. That there's a feeling that conservative

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<v Speaker 3>voices in particular were over censored. That is that the

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<v Speaker 3>political story. Emily.

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<v Speaker 2>Definitely, both the Florida and Texas laws were written and

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<v Speaker 2>then ultimately passed in the wake of the biggest social

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<v Speaker 2>media companies booting or suspending Trump from their services. So

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<v Speaker 2>a lot of what we're seeing now is fallout from that.

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<v Speaker 2>You know, should the social media companies be allowed to

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<v Speaker 2>take such a prominent politician off their platform? Can you

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<v Speaker 2>write a law that prevents them from doing it again,

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<v Speaker 2>or do you ultimately sweep in all kinds of speech?

0:12:46.360 --> 0:12:50.480
<v Speaker 2>That is you know, perfectly reasonable for them to have

0:12:50.559 --> 0:12:52.360
<v Speaker 2>some editorial control over.

0:12:53.760 --> 0:12:57.760
<v Speaker 3>It's hard on your beat, but I'll ask you anyway,

0:12:57.800 --> 0:13:00.680
<v Speaker 3>what do you think the Supreme Court is likely to

0:13:00.720 --> 0:13:01.880
<v Speaker 3>do with your crystal ball?

0:13:03.440 --> 0:13:05.839
<v Speaker 2>Well, I've been listening to the arguments for the past hour,

0:13:06.000 --> 0:13:08.679
<v Speaker 2>and there's so much skepticism already of.

0:13:08.640 --> 0:13:09.480
<v Speaker 3>The Florida law.

0:13:09.760 --> 0:13:12.240
<v Speaker 2>There are distinctions between the Florida and Texas laws, but

0:13:12.960 --> 0:13:16.480
<v Speaker 2>basically the questions at the center of them are the same.

0:13:17.280 --> 0:13:20.840
<v Speaker 2>We're hearing skepticism from the liberals and the conservatives, including

0:13:20.880 --> 0:13:24.480
<v Speaker 2>some of those swing justices like Kavanaugh.

0:13:25.120 --> 0:13:27.720
<v Speaker 3>They all are kind of confused about the law.

0:13:27.760 --> 0:13:31.320
<v Speaker 2>They say, this is so broad sweeping, How does this

0:13:31.400 --> 0:13:34.839
<v Speaker 2>even get implemented? Why are we even talking about this?

0:13:35.040 --> 0:13:37.079
<v Speaker 2>So it's not looking very good for the States.

0:13:38.120 --> 0:13:39.720
<v Speaker 3>It's just really great to have you on the show, Emily,

0:13:39.720 --> 0:13:41.280
<v Speaker 3>But I do urge the audience go and check out

0:13:41.320 --> 0:13:44.160
<v Speaker 3>Emily's quick take on the Bloomberg terminal Bloomberg dot com

0:13:44.160 --> 0:13:46.680
<v Speaker 3>because you get a clear understanding of what is a

0:13:46.679 --> 0:13:49.480
<v Speaker 3>complicated story. Thank you. Now, sticking with DC, we're actually

0:13:49.520 --> 0:13:52.000
<v Speaker 3>waiting on some news from the Commerce Department. It could

0:13:52.040 --> 0:13:56.640
<v Speaker 3>come at any time, potentially regarding grants from the Chips Act.

0:13:56.640 --> 0:13:59.840
<v Speaker 3>Gina Romondo due to speak momentarily. Guess who's with us

0:14:00.040 --> 0:14:03.880
<v Speaker 3>Bloombers Kaylee lines, we always have our eye on the

0:14:03.920 --> 0:14:07.840
<v Speaker 3>flow of capital out of this key piece of law making.

0:14:08.160 --> 0:14:11.360
<v Speaker 3>What do you think is going on? Well, we've already

0:14:11.360 --> 0:14:11.840
<v Speaker 3>heard from.

0:14:11.800 --> 0:14:14.040
<v Speaker 5>The Commerce Secretary, not today, but last week when she

0:14:14.160 --> 0:14:17.080
<v Speaker 5>hinted there should be a drumbeat of bigger announcements related

0:14:17.080 --> 0:14:19.960
<v Speaker 5>to allocating funds and loans from the Chips Act in

0:14:20.000 --> 0:14:22.520
<v Speaker 5>the next six to twelve weeks. And Bloomberg's own reporting

0:14:22.520 --> 0:14:24.600
<v Speaker 5>indicates they want to have many of these grants announced

0:14:24.680 --> 0:14:26.640
<v Speaker 5>by the end of March. So the question is, could

0:14:26.680 --> 0:14:28.600
<v Speaker 5>we get more hints from the Commerce Secretary when she

0:14:28.640 --> 0:14:31.480
<v Speaker 5>speaks expected in just moments to give an update on

0:14:31.600 --> 0:14:34.360
<v Speaker 5>Chips Act implementation. As you well know ed ed, we're

0:14:34.400 --> 0:14:37.160
<v Speaker 5>talking thirty nine billion dollars in direct grants here another

0:14:37.200 --> 0:14:40.240
<v Speaker 5>seventy five billion dollars in loan and loan guarantees. And

0:14:40.280 --> 0:14:43.920
<v Speaker 5>among the companies that could perhaps getting access to these

0:14:43.920 --> 0:14:47.800
<v Speaker 5>incentives next could be according to Bloomberg's reporting, Intel, TSMC,

0:14:47.880 --> 0:14:50.720
<v Speaker 5>and Samsung, all of them are expected to be major recipients.

0:14:50.720 --> 0:14:53.280
<v Speaker 5>Of course, the Intel CEO Pat Gelsinger last week said

0:14:53.280 --> 0:14:55.640
<v Speaker 5>it could be coming soon, and Bloomberg has reported that

0:14:55.680 --> 0:14:58.760
<v Speaker 5>Intel's incentive could be in the tune of ten billion dollars,

0:14:58.800 --> 0:15:02.080
<v Speaker 5>which would be the largest any Chips Act funds granted

0:15:02.360 --> 0:15:04.400
<v Speaker 5>so far as the Commerce Secretary is trying to do

0:15:04.440 --> 0:15:06.840
<v Speaker 5>all these out and she's actually just beginning to speak

0:15:06.840 --> 0:15:09.600
<v Speaker 5>now at the CSIS event, So of course we'll be

0:15:09.720 --> 0:15:11.840
<v Speaker 5>watching for the headlines that she makes and bringing you

0:15:11.880 --> 0:15:13.520
<v Speaker 5>off the latest on that news.

0:15:13.920 --> 0:15:16.000
<v Speaker 3>Yeah, that Chips Act money is one of the key

0:15:16.080 --> 0:15:19.520
<v Speaker 3>pillars of Pat Gelsinger in Intel's smart capital approach, particularly

0:15:19.560 --> 0:15:22.280
<v Speaker 3>on the foundry business. Bloombergs key lines sticking across those

0:15:22.320 --> 0:15:24.360
<v Speaker 3>headlines are coming up here on the program. Some of

0:15:24.360 --> 0:15:27.640
<v Speaker 3>the biggest names in tech are investing in a business

0:15:27.680 --> 0:15:30.720
<v Speaker 3>developing humanoid robots. It might not be the one that

0:15:30.760 --> 0:15:34.160
<v Speaker 3>you think. More on that next. The news keeps coming

0:15:34.520 --> 0:15:37.360
<v Speaker 3>at a DC we're looking at shares of discover and

0:15:37.400 --> 0:15:41.600
<v Speaker 3>Capital one. A group of lawmakers led by a Senator

0:15:41.680 --> 0:15:47.080
<v Speaker 3>Elizabeth Warren and also Representative Alexandria Ocasio Cortes are urging

0:15:47.120 --> 0:15:50.920
<v Speaker 3>the FED the OCC to block this deal that broke

0:15:51.000 --> 0:15:53.480
<v Speaker 3>last week. When I was on VACA a big one

0:15:54.120 --> 0:15:57.760
<v Speaker 3>in the financial technology and consumer credit card space. The

0:15:57.760 --> 0:16:00.000
<v Speaker 3>share is not really reacting to that kind of push

0:16:00.080 --> 0:16:02.640
<v Speaker 3>back in DC both up a tenth of percent. This

0:16:02.680 --> 0:16:20.080
<v Speaker 3>Bloomberg Technology. Okay, it's time for talking tech and first

0:16:20.120 --> 0:16:23.240
<v Speaker 3>up in the news. Mark Zuckerberg will travel across Asia,

0:16:23.280 --> 0:16:26.880
<v Speaker 3>with stops in Japan, South Korea, and India as the

0:16:26.920 --> 0:16:31.040
<v Speaker 3>Meta CEO works on artificial intelligence services and forges ties

0:16:31.320 --> 0:16:35.240
<v Speaker 3>with businesses and government leaders across Asia. In Seoul, Zuckerberg

0:16:35.280 --> 0:16:38.640
<v Speaker 3>will meet with partners, and according to sources, he's tentatively

0:16:38.680 --> 0:16:42.120
<v Speaker 3>scheduled to meet with South Korea's president. Local media also

0:16:42.160 --> 0:16:45.560
<v Speaker 3>report that Zuckerberg will meet Samsung chairman Jy Lee to

0:16:45.640 --> 0:16:50.360
<v Speaker 3>discuss cooperation in AI and LGCEO to talk about joint

0:16:50.360 --> 0:16:55.520
<v Speaker 3>development of an extended reality headset. And A group outbid

0:16:55.600 --> 0:16:59.880
<v Speaker 3>Citadel Securities for Credit Swee's investment bank venture in China.

0:17:00.120 --> 0:17:03.760
<v Speaker 3>The surprise move there'll be subject to close regulatory scrutiny.

0:17:03.920 --> 0:17:06.680
<v Speaker 3>The bid by the Jackmar backed fintech giant to build

0:17:06.720 --> 0:17:10.679
<v Speaker 3>a securities business using Credit Swiss's operations will face a

0:17:10.800 --> 0:17:14.800
<v Speaker 3>thorough review, as China favors of foreign buyer UBS group

0:17:14.800 --> 0:17:17.560
<v Speaker 3>which now owns Credit Suisse, will have to choose between

0:17:17.600 --> 0:17:20.720
<v Speaker 3>the higher local bid from ANT or the lower Citadel

0:17:20.800 --> 0:17:23.840
<v Speaker 3>offer that's more likely to win government approval. All of

0:17:23.880 --> 0:17:27.160
<v Speaker 3>that is according to Bloomberg sources. Plus, following an inquiry

0:17:27.200 --> 0:17:30.840
<v Speaker 3>from the US SEC, Ali Barber disclosed a wider web

0:17:30.880 --> 0:17:35.320
<v Speaker 3>of Chinese government states in its business units than previously known,

0:17:35.359 --> 0:17:38.639
<v Speaker 3>with state ownership in more than twelve business units. In

0:17:38.680 --> 0:17:41.680
<v Speaker 3>the notice, the company said the disclosures were made in

0:17:41.760 --> 0:17:45.080
<v Speaker 3>response to certain comments from the staff of the SEC

0:17:45.280 --> 0:17:48.320
<v Speaker 3>as an amendment to its earlier filing from July. The

0:17:48.320 --> 0:17:51.440
<v Speaker 3>filings come as China's ruling Communist Party says it will

0:17:51.440 --> 0:17:55.359
<v Speaker 3>play a bigger role in steering the country's technology and

0:17:55.440 --> 0:17:59.000
<v Speaker 3>science development. Another big story Jeff Bezos and Nvidia and

0:17:59.040 --> 0:18:03.040
<v Speaker 3>other big tech names investing in a business developing human

0:18:03.320 --> 0:18:08.119
<v Speaker 3>like robots. The startup figure Ai, also backed by Open Ai, Microsoft,

0:18:08.160 --> 0:18:10.840
<v Speaker 3>is raising about six hundred and seventy five million dollars

0:18:10.880 --> 0:18:14.800
<v Speaker 3>in funding that carries a pre money valuation of about

0:18:14.840 --> 0:18:18.320
<v Speaker 3>two billion dollars. That's all according to Bloomberg's sources, and

0:18:18.320 --> 0:18:21.800
<v Speaker 3>that was reported by Bloomberg's Mark German, who joins US

0:18:21.840 --> 0:18:25.320
<v Speaker 3>now humanoid robot. You think Tesla an optimist, but I've

0:18:25.320 --> 0:18:28.280
<v Speaker 3>been digging in to this company. It's an interesting round.

0:18:28.280 --> 0:18:30.200
<v Speaker 3>The numbers are big. What have you learned?

0:18:30.400 --> 0:18:33.840
<v Speaker 6>Yeah, figure, this is an alternative to optimists. What Elon

0:18:33.960 --> 0:18:36.960
<v Speaker 6>Mask is building. This company, like you said, is building

0:18:37.000 --> 0:18:40.240
<v Speaker 6>humanoid robots. And the idea here is one to address

0:18:40.320 --> 0:18:43.439
<v Speaker 6>labor shortages in the labor market at some point, but

0:18:43.640 --> 0:18:47.000
<v Speaker 6>also to substitute for humans for more dangerous jobs, perhaps

0:18:47.040 --> 0:18:50.080
<v Speaker 6>on production lines and such. And what we're told is

0:18:50.080 --> 0:18:52.359
<v Speaker 6>that there could be an announcement this week for a

0:18:52.520 --> 0:18:56.640
<v Speaker 6>slew of funding topping six hundred and seventy five million dollars,

0:18:56.680 --> 0:18:59.240
<v Speaker 6>like you said, at that two billion or about two

0:18:59.320 --> 0:19:02.840
<v Speaker 6>billion premium evaluation. And you have a lot of big

0:19:02.920 --> 0:19:06.159
<v Speaker 6>names in one funding round, which is quite rare. You

0:19:06.200 --> 0:19:10.800
<v Speaker 6>have Jeff Bezos's personal investment firm Explore. You have Intel

0:19:10.840 --> 0:19:14.040
<v Speaker 6>coming in with a twenty five million dollar investment, in

0:19:14.160 --> 0:19:19.080
<v Speaker 6>Nvidia coming in at a fifty million dollar investment, Amazon's VCRM,

0:19:19.359 --> 0:19:26.119
<v Speaker 6>Samsung's VCRM, lg'svcr plus, Microsoft coming in with ninety five million,

0:19:26.320 --> 0:19:29.960
<v Speaker 6>open Ai coming in at five million. So certainly you

0:19:30.040 --> 0:19:34.159
<v Speaker 6>have the who's who they're of companies interested in artificial intelligence,

0:19:34.280 --> 0:19:37.720
<v Speaker 6>robotics and these types of future technologies. So this is

0:19:37.760 --> 0:19:40.040
<v Speaker 6>going to be quite interesting to see how it all develops.

0:19:40.240 --> 0:19:42.760
<v Speaker 3>You know, the Nvidia piece is interesting. You know, they've

0:19:42.800 --> 0:19:45.760
<v Speaker 3>invested all over the place privately, and as we learned

0:19:45.760 --> 0:19:49.639
<v Speaker 3>in the thirteen FS, in some public companies as well.

0:19:49.840 --> 0:19:52.000
<v Speaker 3>I think I'm right in saying at one point open

0:19:52.040 --> 0:19:57.000
<v Speaker 3>Ai thought about just buying figure ai outright, What can

0:19:57.000 --> 0:19:59.399
<v Speaker 3>you tell me about the company's progress? Do they have

0:19:59.520 --> 0:20:03.040
<v Speaker 3>anything to show for their work in humanoid robotics so far?

0:20:04.280 --> 0:20:08.880
<v Speaker 6>You know, before Sam Altman was ousted as CEO last year,

0:20:08.960 --> 0:20:13.040
<v Speaker 6>there were some pretty deep negotiations regarding an acquisition a

0:20:13.080 --> 0:20:17.160
<v Speaker 6>figure by open Ai. There were also more extensive conversations

0:20:17.160 --> 0:20:20.760
<v Speaker 6>around bigger investments, and the open Ai investment ultimately came

0:20:20.800 --> 0:20:23.439
<v Speaker 6>down to only five million dollars. And I say, only

0:20:24.000 --> 0:20:26.480
<v Speaker 6>you compare to the fifty million from Nvidia, one hundred

0:20:26.520 --> 0:20:29.720
<v Speaker 6>million from Bezos, you have one hundred million from a

0:20:29.800 --> 0:20:33.760
<v Speaker 6>venture capital firm called Parkway. So certainly the open Ai

0:20:33.920 --> 0:20:36.480
<v Speaker 6>deal sort of really fell apart amidst the whole Sam

0:20:36.480 --> 0:20:40.040
<v Speaker 6>Altman situation last year in terms of the progress that

0:20:40.119 --> 0:20:42.840
<v Speaker 6>figure has made. You know, they've published some videos and

0:20:42.880 --> 0:20:46.919
<v Speaker 6>some specifications on their website. It's unclear who's further ahead,

0:20:46.960 --> 0:20:51.960
<v Speaker 6>Figure or you know, Elon Musk's optimist, but clearly they're

0:20:52.040 --> 0:20:55.119
<v Speaker 6>selling the goods to these investors and getting enough money

0:20:55.119 --> 0:20:57.640
<v Speaker 6>from them. You can see the video they're playing. It's

0:20:57.720 --> 0:21:00.320
<v Speaker 6>unclear if that's real or some sort of you know,

0:21:00.359 --> 0:21:04.440
<v Speaker 6>AI created markup or you know, preview of what's to comet.

0:21:04.800 --> 0:21:08.080
<v Speaker 6>Certainly it's going to be years or even a decade

0:21:08.080 --> 0:21:10.600
<v Speaker 6>plus before what you've seen that video is a reality.

0:21:11.119 --> 0:21:13.840
<v Speaker 6>But clearly these companies have enough money to put in

0:21:13.960 --> 0:21:16.919
<v Speaker 6>you know what is what amounts to change under their couch,

0:21:17.600 --> 0:21:20.000
<v Speaker 6>to play some bets here and there and hope that

0:21:20.080 --> 0:21:21.440
<v Speaker 6>figure works out for them.

0:21:21.800 --> 0:21:24.560
<v Speaker 3>Bloomberg'smark going, by the way, check out Mark's latest power

0:21:24.600 --> 0:21:28.080
<v Speaker 3>on as well for a great photograph of you wearing

0:21:28.600 --> 0:21:31.560
<v Speaker 3>the next generation of smart glasses, just putting it out there.

0:21:31.640 --> 0:21:42.280
<v Speaker 3>Check it out. Okay, welcome back to Bloomberg Technology, Ed

0:21:42.359 --> 0:21:45.240
<v Speaker 3>Ludlow here in San Francisco. It's Monday's go. It's a

0:21:45.400 --> 0:21:48.359
<v Speaker 3>very business one. Let's start with some markets. This is

0:21:48.400 --> 0:21:51.960
<v Speaker 3>more of like a PSA from last week. But Amazon

0:21:52.160 --> 0:21:56.439
<v Speaker 3>has replaced Walgreen's Boot Alliance on the Dow Jones Industrial Average.

0:21:56.480 --> 0:21:59.199
<v Speaker 3>Remember that's an index where waitings are done on a

0:21:59.240 --> 0:22:03.560
<v Speaker 3>share price basis, not on a market capitalization basis. Something

0:22:03.560 --> 0:22:06.679
<v Speaker 3>that was announced last week after Tuesday's market close, but

0:22:06.720 --> 0:22:09.320
<v Speaker 3>I was on vacate I missed it. The point being

0:22:09.800 --> 0:22:12.200
<v Speaker 3>it's effective as of Monday sessions. So if you look

0:22:12.200 --> 0:22:15.280
<v Speaker 3>on your Bloomberg terminal, you'll see at Amazon flat, Walgreens

0:22:15.359 --> 0:22:19.040
<v Speaker 3>Boots Alliance down two percent. What precipitated it was actually

0:22:19.040 --> 0:22:22.200
<v Speaker 3>a three for one stock split, not by Walgreens but

0:22:22.240 --> 0:22:25.199
<v Speaker 3>by Walmart, which had a reshuffle for the whole of

0:22:25.240 --> 0:22:28.080
<v Speaker 3>that index. Another stock that we're watching closely to the

0:22:28.160 --> 0:22:31.800
<v Speaker 3>downside is Alphabet, parent of Google. There has been so

0:22:31.920 --> 0:22:37.000
<v Speaker 3>much discussion, particularly on x about the image generator on Gemini.

0:22:37.119 --> 0:22:40.200
<v Speaker 3>An update from Google out in literally the last hour

0:22:40.320 --> 0:22:44.120
<v Speaker 3>or so. The company plans to resume the image generator

0:22:44.119 --> 0:22:47.199
<v Speaker 3>on Gemini, which it had paused at some point in

0:22:47.280 --> 0:22:50.639
<v Speaker 3>the next two weeks. Remember that Alphabet pulled the image

0:22:50.680 --> 0:22:54.720
<v Speaker 3>generator of Gemini last week because of criticism over the

0:22:54.800 --> 0:22:58.520
<v Speaker 3>inaccurate historical depictions of race. You will have seen that

0:22:58.520 --> 0:23:01.600
<v Speaker 3>Elon Musk in particular, has been very vocal about this

0:23:01.720 --> 0:23:05.480
<v Speaker 3>issue of the Gemini and image generation on Gemini in

0:23:05.520 --> 0:23:07.440
<v Speaker 3>the last twenty four to four day eight hours, Okay,

0:23:07.720 --> 0:23:10.800
<v Speaker 3>a slur of states have been targeting AI deep fakes

0:23:10.960 --> 0:23:14.400
<v Speaker 3>ahead of the November election, and now that also includes

0:23:14.800 --> 0:23:18.840
<v Speaker 3>New York State. New legislation from Democratic Governor Kathy Hochel

0:23:19.000 --> 0:23:22.159
<v Speaker 3>would make New York the first in the nation to

0:23:22.359 --> 0:23:28.080
<v Speaker 3>explicitly empower voters to file lawsuits against AI made political

0:23:28.320 --> 0:23:30.080
<v Speaker 3>deep fakes. I want to bring in Zach Williams from

0:23:30.080 --> 0:23:34.160
<v Speaker 3>Bloomberg Law, who's been writing about this. This would be

0:23:34.480 --> 0:23:36.920
<v Speaker 3>New York going first on something. What is the proposal

0:23:36.960 --> 0:23:37.920
<v Speaker 3>that's on the table here.

0:23:39.359 --> 0:23:42.240
<v Speaker 7>So Governor Kathy Hockel is proposing in the state budget

0:23:42.280 --> 0:23:46.840
<v Speaker 7>do April first, that New York State take action against

0:23:46.880 --> 0:23:51.280
<v Speaker 7>deep fakes on a number of fronts, intimate images, child pornography,

0:23:51.520 --> 0:23:54.800
<v Speaker 7>and of course deep fakes in elections within sixty days

0:23:54.840 --> 0:23:57.800
<v Speaker 7>of election day. Now, what's so interesting about this one

0:23:57.840 --> 0:24:01.040
<v Speaker 7>compared to the handful of states that have of current

0:24:01.119 --> 0:24:04.920
<v Speaker 7>laws or those considering similar legislation, is the enforcement mechanism.

0:24:05.080 --> 0:24:08.040
<v Speaker 7>There's no civil or criminal penalties for creating a deep fake.

0:24:08.119 --> 0:24:12.920
<v Speaker 7>Under Hocal's proposal, but she would empower voters to actually

0:24:12.920 --> 0:24:15.800
<v Speaker 7>file lawsuits of their own seeking injunctive relief. They see

0:24:15.800 --> 0:24:18.680
<v Speaker 7>a deep fake, whether or not it concerns them personally,

0:24:18.920 --> 0:24:21.680
<v Speaker 7>they can sue to have it, to have someone remove

0:24:21.720 --> 0:24:23.879
<v Speaker 7>it from online or anywhere else that they see it.

0:24:24.960 --> 0:24:27.679
<v Speaker 3>When you look at the language in the build, there

0:24:27.680 --> 0:24:29.880
<v Speaker 3>are some similarities with other states, right, I think first

0:24:29.920 --> 0:24:33.880
<v Speaker 3>of all of Arizona, but broadly, even though New York

0:24:33.960 --> 0:24:36.680
<v Speaker 3>is kind of getting early at this, there is momentum

0:24:37.000 --> 0:24:41.800
<v Speaker 3>behind the same initiative in other parts of the country. Yeah,

0:24:41.800 --> 0:24:42.400
<v Speaker 3>a big.

0:24:42.240 --> 0:24:46.000
<v Speaker 7>Issue facing states is not only just how to enforce

0:24:46.080 --> 0:24:49.280
<v Speaker 7>these laws, but the type of behavior to actually cover.

0:24:49.680 --> 0:24:54.960
<v Speaker 7>You know, five states currently have existing laws against AI

0:24:55.040 --> 0:24:59.040
<v Speaker 7>created deep fakes, and most of them apply to you know,

0:24:59.119 --> 0:25:02.720
<v Speaker 7>people that are or trade or to political candidates specifically.

0:25:03.000 --> 0:25:05.000
<v Speaker 7>You know, the New York proposal and a few others

0:25:05.040 --> 0:25:08.240
<v Speaker 7>before states out there you know, really get at, you know,

0:25:08.320 --> 0:25:12.639
<v Speaker 7>defikes that arguably try to influence a voter or influence election,

0:25:12.760 --> 0:25:16.080
<v Speaker 7>which is a much wider type of behavior. You know,

0:25:16.480 --> 0:25:18.280
<v Speaker 7>think of you know, the AI deep fake of Joe

0:25:18.280 --> 0:25:20.639
<v Speaker 7>Biden in New Hampshire. You know, that's very specific to

0:25:20.680 --> 0:25:24.000
<v Speaker 7>a candidate. You know what Hocals proposal and some others

0:25:24.240 --> 0:25:27.240
<v Speaker 7>across the country might do is actually, you know, make

0:25:27.320 --> 0:25:31.320
<v Speaker 7>any type of AI phony, you know, material illegal, whether

0:25:31.400 --> 0:25:33.200
<v Speaker 7>or not it shows a real person.

0:25:34.520 --> 0:25:37.080
<v Speaker 3>All right, Zach Williams of Bloomberg Law. Great to have

0:25:37.119 --> 0:25:39.960
<v Speaker 3>you on the program for Morbany. Keeping across that in

0:25:40.000 --> 0:25:42.200
<v Speaker 3>the coming weeks and months, Let's keep the conversation going

0:25:42.600 --> 0:25:45.520
<v Speaker 3>with Denver Riggleman. He's the founder of the security firm

0:25:45.720 --> 0:25:50.000
<v Speaker 3>Rogoman Information and Intelligence Greeve. He's also former Republican congressman

0:25:50.040 --> 0:25:53.919
<v Speaker 3>for Virginia's sixth district. Served as an Air Force intelligence

0:25:53.960 --> 0:25:57.680
<v Speaker 3>Officciety's also the co author of The Breach, The Untold

0:25:57.760 --> 0:26:02.920
<v Speaker 3>story of the investigation into January sixth. Denver Rigman joins

0:26:02.960 --> 0:26:06.200
<v Speaker 3>US now at Denver. We just heard from our reporter

0:26:06.440 --> 0:26:11.480
<v Speaker 3>about at the state level action on deep Face. We

0:26:11.560 --> 0:26:14.359
<v Speaker 3>heard earlier in the program from our reporter in DC

0:26:15.280 --> 0:26:21.200
<v Speaker 3>about the Supreme Court's consideration of content moderation. Leaning on

0:26:21.240 --> 0:26:24.200
<v Speaker 3>your own work, research and your political career, how big

0:26:24.240 --> 0:26:28.080
<v Speaker 3>an issue is content going to be in this election

0:26:28.240 --> 0:26:29.400
<v Speaker 3>cycle twenty twenty four.

0:26:30.600 --> 0:26:32.639
<v Speaker 8>You know everybody's saying it is a massive issue what

0:26:32.680 --> 0:26:35.679
<v Speaker 8>it is. But there's that flip problem righted on the

0:26:35.680 --> 0:26:38.119
<v Speaker 8>other side when you're looking at technologies that people believe it.

0:26:38.520 --> 0:26:40.080
<v Speaker 8>You know, when we look at the point of origin

0:26:40.119 --> 0:26:42.120
<v Speaker 8>of these videos, which is why I started my company,

0:26:42.520 --> 0:26:44.920
<v Speaker 8>was to look at where this disinformation line actually comes

0:26:44.920 --> 0:26:47.320
<v Speaker 8>from or what the deepets actually have as far as

0:26:47.400 --> 0:26:50.159
<v Speaker 8>radicalizing language, is that people believe it. I mean a

0:26:50.200 --> 0:26:53.400
<v Speaker 8>lot of people were actually radicalized with memes and que drops,

0:26:53.720 --> 0:26:55.679
<v Speaker 8>So does that mean with deep pigs and AIS. I

0:26:55.720 --> 0:26:57.679
<v Speaker 8>just don't know what the enforcement mechanism is going to

0:26:57.680 --> 0:27:00.320
<v Speaker 8>be on satire. I don't know how the enforcement matanism

0:27:00.440 --> 0:27:02.399
<v Speaker 8>is going to work if you know, people are actually

0:27:02.400 --> 0:27:04.320
<v Speaker 8>doing it because they think the AI deep pakes are

0:27:04.320 --> 0:27:07.400
<v Speaker 8>actually effective, you know, and actually making fun of these

0:27:07.400 --> 0:27:11.919
<v Speaker 8>candidates or asking for violence against candidates or violence in general.

0:27:11.960 --> 0:27:14.399
<v Speaker 8>So it's just going to be interesting to see how

0:27:14.440 --> 0:27:17.000
<v Speaker 8>this comes down as far as the legal methodology of this.

0:27:17.359 --> 0:27:19.679
<v Speaker 8>But as far as AI deep pikes are concerned, you know,

0:27:19.720 --> 0:27:22.040
<v Speaker 8>I've seen Biden deep pakes with actually him on video.

0:27:22.320 --> 0:27:24.560
<v Speaker 8>I'm actually working with a company on deep fakes and

0:27:24.640 --> 0:27:28.399
<v Speaker 8>licensing the AI for each particular individual who wants to

0:27:28.480 --> 0:27:30.679
<v Speaker 8>use AI for themselves. And I have to tell you, Ed,

0:27:30.840 --> 0:27:32.919
<v Speaker 8>I'm very worried that it's not just the fact that

0:27:32.960 --> 0:27:35.680
<v Speaker 8>the deep fakes are being generated, it's that the populace,

0:27:35.760 --> 0:27:38.480
<v Speaker 8>there's a credulous populast tens of millions that are going

0:27:38.560 --> 0:27:41.119
<v Speaker 8>to believe this because they don't understand the technology and

0:27:41.160 --> 0:27:43.959
<v Speaker 8>they're ignorant about actually what's happening on social media and

0:27:44.080 --> 0:27:45.520
<v Speaker 8>ignorant about what's happening with AI.

0:27:47.119 --> 0:27:50.240
<v Speaker 3>Denver, in the body of work that your current firm

0:27:50.400 --> 0:27:57.439
<v Speaker 3>is doing, do you see any specific focus or center

0:27:57.480 --> 0:28:01.560
<v Speaker 3>of activity either across the two parties will focus on

0:28:01.600 --> 0:28:02.919
<v Speaker 3>any specific candidates.

0:28:03.800 --> 0:28:05.480
<v Speaker 8>Yeah, I think what you're going to see with AI,

0:28:05.560 --> 0:28:07.720
<v Speaker 8>which you see in the generating AI already from the

0:28:07.760 --> 0:28:11.159
<v Speaker 8>far right, I think right now, I don't think independent

0:28:11.320 --> 0:28:16.320
<v Speaker 8>center right Republicans or Democrats really have any idea about

0:28:16.480 --> 0:28:19.040
<v Speaker 8>how effective AI can be if it's in the hands

0:28:19.119 --> 0:28:22.600
<v Speaker 8>those specific individuals that have no moral boundaries. And that's

0:28:22.600 --> 0:28:24.600
<v Speaker 8>the thing that really does worry me, Ed, is the

0:28:24.720 --> 0:28:26.879
<v Speaker 8>lack of moral boundaries and the fact that technology is

0:28:26.920 --> 0:28:30.320
<v Speaker 8>widely available. This is not something hard to do. I mean,

0:28:30.359 --> 0:28:32.840
<v Speaker 8>you can hire firms to do AI, you can do

0:28:32.880 --> 0:28:35.800
<v Speaker 8>some of it yourself. It's just not that difficult. So

0:28:35.880 --> 0:28:38.680
<v Speaker 8>what we're seeing also is that the foreign disinformation campaigns

0:28:38.880 --> 0:28:42.240
<v Speaker 8>could be very effective with AI, with deep fake specifically,

0:28:42.480 --> 0:28:44.600
<v Speaker 8>but with other type of things, just like audio. I mean,

0:28:44.640 --> 0:28:46.680
<v Speaker 8>AI audio is so easy. So now you have this

0:28:46.760 --> 0:28:50.040
<v Speaker 8>ability to do deformation on a massive scale that'll make

0:28:50.160 --> 0:28:54.760
<v Speaker 8>memes and drops and videos just sort of I would

0:28:54.800 --> 0:28:58.800
<v Speaker 8>say pass a AI and deep fake specifically coming from

0:28:58.880 --> 0:29:01.200
<v Speaker 8>foreign enemies or threats, but from people who have no

0:29:01.320 --> 0:29:03.200
<v Speaker 8>moral boundaries. I think it's going to be something that

0:29:03.400 --> 0:29:05.280
<v Speaker 8>could cause a lot of violence starting in the spring

0:29:05.320 --> 0:29:07.720
<v Speaker 8>and summer, late spring, early summer of twenty twenty four,

0:29:07.760 --> 0:29:08.800
<v Speaker 8>which is my biggest worry.

0:29:09.680 --> 0:29:12.160
<v Speaker 3>Denver, you say it's not difficult to do, I think

0:29:12.160 --> 0:29:15.880
<v Speaker 3>what you're saying is in the context of content moderation, right,

0:29:16.000 --> 0:29:19.760
<v Speaker 3>the actions of the platforms themselves. We talked about this

0:29:19.800 --> 0:29:23.080
<v Speaker 3>earlier in the program, that what came out of the

0:29:23.240 --> 0:29:29.600
<v Speaker 3>twenty twenty presidential election cycle was content moderation policies, and

0:29:29.640 --> 0:29:33.360
<v Speaker 3>now the political argument is that those resulted in the

0:29:33.440 --> 0:29:39.040
<v Speaker 3>over censorship, particularly of conservative views. Tie that then to

0:29:39.280 --> 0:29:41.920
<v Speaker 3>the deep fakes issue. You know, either the tech companies

0:29:41.960 --> 0:29:45.200
<v Speaker 3>take action or they don't. Should it solely rest with

0:29:45.280 --> 0:29:46.960
<v Speaker 3>them to be responsible.

0:29:48.760 --> 0:29:50.960
<v Speaker 8>You know, we're to a point where it might soorely

0:29:51.000 --> 0:29:53.800
<v Speaker 8>rest with them based on the enforcement mechanisms, if you

0:29:53.800 --> 0:29:56.479
<v Speaker 8>you know, I've done enough investigations now that government has

0:29:56.520 --> 0:30:00.440
<v Speaker 8>a very tough time moving at speed against new technollogies.

0:30:00.680 --> 0:30:02.560
<v Speaker 8>So when you're talking about these large companies are going

0:30:02.600 --> 0:30:05.920
<v Speaker 8>to have to be some kind of ability to self moderate,

0:30:06.160 --> 0:30:09.160
<v Speaker 8>you know, when you're looking at actually these AI deep fakes.

0:30:09.440 --> 0:30:13.120
<v Speaker 8>You know, my biggest fear ed you know, is that AI,

0:30:13.520 --> 0:30:16.360
<v Speaker 8>as far as being able to radicalize people in a

0:30:16.400 --> 0:30:19.120
<v Speaker 8>way we can't even imagine at this point, is something

0:30:19.120 --> 0:30:22.080
<v Speaker 8>that we're gonna have to fight with forever. I mean, really,

0:30:22.120 --> 0:30:25.120
<v Speaker 8>the information war is the forever war. So I think

0:30:25.160 --> 0:30:27.720
<v Speaker 8>that's the issue that we have in these large tech companies.

0:30:27.920 --> 0:30:30.520
<v Speaker 8>There's going to have to be some responsibility on how

0:30:30.520 --> 0:30:33.560
<v Speaker 8>these e these AI deep fakes are actually promulgated. I

0:30:33.920 --> 0:30:38.200
<v Speaker 8>just I don't see with the massive amount of AI

0:30:38.480 --> 0:30:42.240
<v Speaker 8>of platforms. You know, what do you have forty major

0:30:42.240 --> 0:30:47.120
<v Speaker 8>maybe social media platforms, hundreds of minor platforms. You have emails,

0:30:47.440 --> 0:30:49.520
<v Speaker 8>you still have Facebook, you have private groups, you have

0:30:49.720 --> 0:30:51.920
<v Speaker 8>so much stuff out there. I don't know how you

0:30:51.960 --> 0:30:54.320
<v Speaker 8>actually do it unless the tech companies actually take some

0:30:54.400 --> 0:30:57.719
<v Speaker 8>responsibility for deep fakes or for AI generated content.

0:30:58.000 --> 0:31:01.640
<v Speaker 3>All right, Denvi Wrigelman, founder of Information and Intelligence Group,

0:31:01.680 --> 0:31:04.400
<v Speaker 3>great conversation. Come back in the next few weeks and

0:31:04.440 --> 0:31:07.640
<v Speaker 3>months as we progress this election cycle, and we'll keep

0:31:07.640 --> 0:31:10.800
<v Speaker 3>the conversation going. Some breaking news crossing the Bloomberg terminal

0:31:10.920 --> 0:31:15.280
<v Speaker 3>back out with DC COMMA Secretary Gina Romondo is speaking

0:31:15.400 --> 0:31:19.760
<v Speaker 3>about the applications to the Chips Act for grant. She

0:31:19.840 --> 0:31:23.680
<v Speaker 3>is saying that leading edge firms are seeking over seventy

0:31:23.840 --> 0:31:26.560
<v Speaker 3>billion dollars from the Chips Act. You're looking at live

0:31:26.680 --> 0:31:30.080
<v Speaker 3>pictures of that event where RAYMONDA is speaking. She's talking

0:31:30.080 --> 0:31:33.160
<v Speaker 3>about the US going to prioritize Chips projects that can

0:31:33.200 --> 0:31:36.640
<v Speaker 3>be operational by twenty thirty. We spoke earlier with Kaylee

0:31:36.640 --> 0:31:40.600
<v Speaker 3>about Intel as an example that in their smart capital approach,

0:31:40.800 --> 0:31:44.000
<v Speaker 3>they are relying on access to the Chips Act grants

0:31:44.040 --> 0:31:48.160
<v Speaker 3>to operationalize and build out, particularly their foundry business. The

0:31:48.240 --> 0:31:51.080
<v Speaker 3>last point is RAYMONDO giving a forecast in the US

0:31:51.160 --> 0:31:54.960
<v Speaker 3>is going to make twenty percent of leading edge chips

0:31:55.200 --> 0:31:56.920
<v Speaker 3>by the end of the decade, and what we're talking

0:31:56.920 --> 0:31:59.200
<v Speaker 3>about in the context of leading edge chips. Is those

0:31:59.280 --> 0:32:02.040
<v Speaker 3>higher performance GPUs, the ones that Ian King comes on

0:32:02.080 --> 0:32:04.280
<v Speaker 3>the show and talks about so often. Will continue to

0:32:04.320 --> 0:32:06.600
<v Speaker 3>monitor the event that Ramondo's speaking about. But there is

0:32:06.640 --> 0:32:10.040
<v Speaker 3>actually some significant news headlines coming out from those comments,

0:32:10.120 --> 0:32:12.880
<v Speaker 3>all right, coming up here on Bloomberg technology. The twin

0:32:13.000 --> 0:32:16.320
<v Speaker 3>strikes were a hot topic of conversation at the SAG

0:32:16.360 --> 0:32:19.280
<v Speaker 3>Awards this past Saturday, and saga after a President fran

0:32:19.360 --> 0:32:22.320
<v Speaker 3>Drescher bought one of the union's major concerns from over

0:32:22.360 --> 0:32:26.640
<v Speaker 3>the summit to the show, Artificial intelligence will have Nick

0:32:26.720 --> 0:32:29.640
<v Speaker 3>Lyons is the co CEO and co founder of Flawless,

0:32:29.640 --> 0:32:33.320
<v Speaker 3>a company that uses generative AI to correct out of

0:32:33.440 --> 0:32:36.760
<v Speaker 3>sync dubbing and more, with his thoughts on that relationship

0:32:36.880 --> 0:32:40.800
<v Speaker 3>between AI and Hollywood. Coming up next, this is Bloombog technology.

0:32:55.480 --> 0:32:58.600
<v Speaker 3>At the SAG Awards this past Saturday, the Twins strikes,

0:32:58.680 --> 0:33:02.280
<v Speaker 3>the actors and writers strike, We're a major topic of conversation.

0:33:02.400 --> 0:33:06.320
<v Speaker 3>Sagafter President Fran Dresher brought one of the union's biggest

0:33:06.320 --> 0:33:09.960
<v Speaker 3>concerns to the stage, saying, quote, AI will entrap us

0:33:10.000 --> 0:33:13.160
<v Speaker 3>in a matrix where none of us know what's real

0:33:13.720 --> 0:33:16.240
<v Speaker 3>let's bring in Nick Lions, co CEO and co founder

0:33:16.280 --> 0:33:20.480
<v Speaker 3>of Flawless, a company that uses generative AI to correct

0:33:20.560 --> 0:33:22.959
<v Speaker 3>out of sync dubbing and does a lot more. It's

0:33:23.400 --> 0:33:27.400
<v Speaker 3>in his thoughts about what is an evolving relationship Nick,

0:33:27.960 --> 0:33:32.320
<v Speaker 3>between Hollywood and AI. Just real quick on Miss Dresher's

0:33:32.400 --> 0:33:36.080
<v Speaker 3>statement there about being caught in a limbo where you

0:33:36.120 --> 0:33:38.920
<v Speaker 3>don't know what is real and what is you're building

0:33:39.000 --> 0:33:42.560
<v Speaker 3>AI that directly impacts this world. What's your take?

0:33:43.680 --> 0:33:46.520
<v Speaker 9>Well, thanks for having me on the show, Ed, Yeah,

0:33:46.560 --> 0:33:50.720
<v Speaker 9>it's I think that the reality is is we have

0:33:50.760 --> 0:33:53.440
<v Speaker 9>to be careful and I think the approach that we've

0:33:53.560 --> 0:33:56.560
<v Speaker 9>taken is to be Actually one of the reasons probably

0:33:56.560 --> 0:33:58.160
<v Speaker 9>we're willing to come on the show is that we've

0:33:58.200 --> 0:34:01.200
<v Speaker 9>been talking to Sagafra for a number of years now,

0:34:01.240 --> 0:34:03.800
<v Speaker 9>have been cooperating with them and working with them to

0:34:03.920 --> 0:34:06.440
<v Speaker 9>work out, you know, what the best application and uses

0:34:06.440 --> 0:34:10.000
<v Speaker 9>are for this technology. You know, we have from day

0:34:10.040 --> 0:34:13.360
<v Speaker 9>one we made a stance around data that we would

0:34:13.400 --> 0:34:15.440
<v Speaker 9>not you know, we wouldn't trample on artistic rights or

0:34:15.480 --> 0:34:19.000
<v Speaker 9>commercial data ownership rights. I mean we've built technologies that

0:34:19.280 --> 0:34:22.759
<v Speaker 9>support that, so you know, I think it's a collaboration,

0:34:22.880 --> 0:34:24.880
<v Speaker 9>and I think it's a mechanism to move forward to

0:34:25.000 --> 0:34:29.040
<v Speaker 9>enable an industry to re energize and go into you know,

0:34:29.120 --> 0:34:30.160
<v Speaker 9>the next decade.

0:34:31.400 --> 0:34:34.000
<v Speaker 3>Let's talk a little bit about flawless and understand the

0:34:34.080 --> 0:34:36.920
<v Speaker 3>work you're doing in the context of those concerns. So

0:34:37.520 --> 0:34:41.880
<v Speaker 3>using generative AI to amend or correct out of saint dubbing,

0:34:42.280 --> 0:34:43.200
<v Speaker 3>how does that work?

0:34:44.200 --> 0:34:44.439
<v Speaker 6>Well?

0:34:44.840 --> 0:34:48.960
<v Speaker 9>You know, you look at recent news, you know, around

0:34:48.960 --> 0:34:51.880
<v Speaker 9>Warner and Paramount, and you know there's a lot of

0:34:52.360 --> 0:34:56.319
<v Speaker 9>highlighting of you know, audiences under pressure, et cetera, and

0:34:56.360 --> 0:34:58.600
<v Speaker 9>a lot of debt. But I think that the fundamental

0:34:58.600 --> 0:35:03.400
<v Speaker 9>problem is actually production costs. You know, in people when

0:35:03.640 --> 0:35:07.040
<v Speaker 9>the big studios and streamers and other production companies around

0:35:07.040 --> 0:35:11.319
<v Speaker 9>the world are investing heavily in productions, it's very very

0:35:12.239 --> 0:35:15.279
<v Speaker 9>heavy carbon footprint and it's also very physical and consequently

0:35:15.360 --> 0:35:15.960
<v Speaker 9>very costly.

0:35:16.320 --> 0:35:16.520
<v Speaker 3>You know.

0:35:16.600 --> 0:35:19.000
<v Speaker 9>So one of the benefits that AI is going to bring.

0:35:19.120 --> 0:35:21.040
<v Speaker 9>Gen AI is going to bring is the ability to

0:35:21.040 --> 0:35:24.319
<v Speaker 9>be able to reduce those production costs. But also, you know,

0:35:24.440 --> 0:35:26.759
<v Speaker 9>if you imagine that a proxy for a reduction of

0:35:26.760 --> 0:35:30.719
<v Speaker 9>production costs is enabling a global audience dumbing and subtitling,

0:35:30.840 --> 0:35:33.680
<v Speaker 9>has you know, been the mechanism for localization now for

0:35:34.040 --> 0:35:36.879
<v Speaker 9>you know, one hundred years, and you know, unfortunately, there's

0:35:36.880 --> 0:35:38.520
<v Speaker 9>a lot of people that don't like that, and that's

0:35:38.520 --> 0:35:42.280
<v Speaker 9>represented in the value when you're selling films and TV

0:35:42.480 --> 0:35:46.440
<v Speaker 9>series into other language territories. So the enabled the ability

0:35:46.440 --> 0:35:49.440
<v Speaker 9>to have a global audience and have allow audiences to

0:35:49.480 --> 0:35:52.920
<v Speaker 9>consume content in a way that's digestible and enjoyable. It

0:35:53.040 --> 0:35:55.759
<v Speaker 9>just is going to also enable these same companies to

0:35:55.760 --> 0:35:58.480
<v Speaker 9>be able to benefit from you know, distribution at a

0:35:58.560 --> 0:36:03.160
<v Speaker 9>level that you know it will be game changing for them.

0:36:03.960 --> 0:36:07.640
<v Speaker 3>You just spoke to kind of the economics of what,

0:36:07.680 --> 0:36:09.960
<v Speaker 3>frankly was one of the biggest technology stories of the

0:36:10.040 --> 0:36:14.560
<v Speaker 3>year so far. When open ai released Saurra and I

0:36:14.600 --> 0:36:17.560
<v Speaker 3>saw an interview my co host Caroline heid and I

0:36:17.600 --> 0:36:21.320
<v Speaker 3>were talking about Tyler Perry and the Hollywood reporter saying

0:36:21.400 --> 0:36:24.120
<v Speaker 3>that he had put plans for an eight hundred million

0:36:24.200 --> 0:36:29.320
<v Speaker 3>dollar studio expansion on hold when he saw the results

0:36:29.320 --> 0:36:31.040
<v Speaker 3>of saura And you know, I made a quip on

0:36:31.320 --> 0:36:34.080
<v Speaker 3>x that most of it is just sixty second clips

0:36:34.080 --> 0:36:37.880
<v Speaker 3>of dogs or puppies doing stuff. But when they released

0:36:37.920 --> 0:36:42.920
<v Speaker 3>those images that are generative AI text to video pieces

0:36:42.920 --> 0:36:45.880
<v Speaker 3>of content. There was a big reaction from your industry.

0:36:46.120 --> 0:36:47.160
<v Speaker 3>What was your reaction?

0:36:48.440 --> 0:36:51.640
<v Speaker 9>Yeah, well, you know, I think pauses the operative word

0:36:51.640 --> 0:36:54.400
<v Speaker 9>there because I think once what were quite interesting and

0:36:54.480 --> 0:36:58.160
<v Speaker 9>exciting videos, once the people understand that it's still a

0:36:58.200 --> 0:37:01.040
<v Speaker 9>long long way off from perfect you know, professional production.

0:37:02.080 --> 0:37:04.120
<v Speaker 9>You know, if you look at it, yes, it's sixty

0:37:04.120 --> 0:37:07.320
<v Speaker 9>second scenes, you know, it's not particularly looking around corners.

0:37:07.400 --> 0:37:10.279
<v Speaker 9>There's not a lot of actual performance in there, you know,

0:37:10.320 --> 0:37:12.520
<v Speaker 9>and there's also not editing tools attached. But I think

0:37:12.640 --> 0:37:17.960
<v Speaker 9>most importantly we're talking about these these these videos are

0:37:18.000 --> 0:37:19.759
<v Speaker 9>created from unclean data.

0:37:19.880 --> 0:37:20.040
<v Speaker 3>You know.

0:37:20.080 --> 0:37:22.440
<v Speaker 9>We made a decision to build a business that was

0:37:22.680 --> 0:37:25.640
<v Speaker 9>based on clean data, where everything within our models and

0:37:25.880 --> 0:37:29.839
<v Speaker 9>within our production system has enabled, has been signed off,

0:37:29.880 --> 0:37:33.319
<v Speaker 9>and is commercially and artistically clean. And I think that

0:37:33.360 --> 0:37:36.240
<v Speaker 9>there's like mixing these things together and then it's exciting

0:37:36.280 --> 0:37:38.640
<v Speaker 9>for the future because it shows the power of the technology.

0:37:38.680 --> 0:37:40.560
<v Speaker 9>And I think, yes, there will be a benefit here

0:37:40.600 --> 0:37:43.080
<v Speaker 9>in reduced production costs. But I think Tyler's going to

0:37:43.080 --> 0:37:45.239
<v Speaker 9>find very quickly that I think the film industry is

0:37:45.239 --> 0:37:47.879
<v Speaker 9>probably going to go through actually a boom time over

0:37:47.880 --> 0:37:50.480
<v Speaker 9>the years that come with the reduction in production costs,

0:37:50.760 --> 0:37:53.200
<v Speaker 9>and with the same tools that allow for those reductions

0:37:53.200 --> 0:37:57.560
<v Speaker 9>in production costs, giving more creative control and more iterative storytelling,

0:37:57.840 --> 0:37:59.920
<v Speaker 9>we're going to see an increase in the percentage of

0:38:00.080 --> 0:38:03.560
<v Speaker 9>commercially successful projects. And I think consequently for that it

0:38:03.640 --> 0:38:06.000
<v Speaker 9>becomes like, you know, quite a wise investment to be

0:38:06.040 --> 0:38:08.640
<v Speaker 9>investing in film, which is correctly I think some people

0:38:08.680 --> 0:38:11.120
<v Speaker 9>have been cynical about so I think really what we're

0:38:11.120 --> 0:38:13.600
<v Speaker 9>looking at is, you know, yes, there might be some

0:38:13.880 --> 0:38:15.879
<v Speaker 9>people initially sort of a little bit scared when they're

0:38:15.880 --> 0:38:18.040
<v Speaker 9>looking at something like that, but I think really it

0:38:18.080 --> 0:38:19.640
<v Speaker 9>represents boom times.

0:38:20.440 --> 0:38:22.680
<v Speaker 3>Flawless co CEO, co found in it lies. Just great

0:38:22.719 --> 0:38:25.160
<v Speaker 3>to have you on the program after the SAG Awards

0:38:25.200 --> 0:38:28.280
<v Speaker 3>at the weekend where this was a front and center issue.

0:38:28.480 --> 0:38:30.719
<v Speaker 3>Really appreciate your time. Okay, some more news here on

0:38:30.760 --> 0:38:34.480
<v Speaker 3>Bluebog Technology is time for the VC Roundup, First up interview.

0:38:34.560 --> 0:38:38.279
<v Speaker 3>Kickstart has raised ten million dollars from Bloom Ventures to

0:38:38.360 --> 0:38:41.640
<v Speaker 3>expand a library of courses in fields from machine learning

0:38:41.960 --> 0:38:45.920
<v Speaker 3>to data sciences, demand for which is surging alongside global

0:38:45.960 --> 0:38:49.160
<v Speaker 3>development in AI. The fledgending firm, co founded by early

0:38:49.200 --> 0:38:52.799
<v Speaker 3>box engineer so A Meta and Excel Partners. Alarm Ryan

0:38:52.880 --> 0:38:56.640
<v Speaker 3>Valors aims to help supply the skilled engineers needed to

0:38:56.719 --> 0:39:01.279
<v Speaker 3>support a boom in artificial intelligence and deep Exco is

0:39:01.320 --> 0:39:03.879
<v Speaker 3>close to raising ninety million dollars in a funding round

0:39:04.080 --> 0:39:08.240
<v Speaker 3>to accelerate production and bankroll global expansion. The South Korean

0:39:08.280 --> 0:39:12.240
<v Speaker 3>firm has secured forty five million dollars from Skylake Equity Partners,

0:39:12.400 --> 0:39:15.160
<v Speaker 3>as well as twenty two point five million from existing

0:39:15.239 --> 0:39:19.359
<v Speaker 3>backer Timefolio Asset Management. The AI chip startup is also

0:39:19.400 --> 0:39:23.480
<v Speaker 3>in final discussions with another investor to secure an additional

0:39:23.680 --> 0:39:35.160
<v Speaker 3>tranche of money by next month. That all, according to sources,

0:39:36.480 --> 0:39:40.440
<v Speaker 3>the US used artificial intelligence to identify targets that were

0:39:40.480 --> 0:39:43.600
<v Speaker 3>then hit by air strikes in the Middle East this month.

0:39:43.680 --> 0:39:47.120
<v Speaker 3>That's according to a defense official, and Bloomberg's Katrina Manson

0:39:47.600 --> 0:39:50.319
<v Speaker 3>spoke with them and did that reporting. She joins US

0:39:50.320 --> 0:39:53.440
<v Speaker 3>now with more details. This is interesting. You have to

0:39:53.440 --> 0:39:56.040
<v Speaker 3>be clear on what the AI was used for, right, Katrina,

0:39:56.080 --> 0:40:00.560
<v Speaker 3>And it was to identify the targets. But that's where stops.

0:40:01.560 --> 0:40:02.160
<v Speaker 3>That's right.

0:40:02.560 --> 0:40:05.120
<v Speaker 10>These are computer vision algorithms that the Pentagon has been

0:40:05.160 --> 0:40:08.799
<v Speaker 10>developing really since twenty seventeen, but they are now using

0:40:08.800 --> 0:40:13.719
<v Speaker 10>them operationally, and sent COOM that's Central Central Command that

0:40:13.800 --> 0:40:16.200
<v Speaker 10>runs US forces in the Middle East, confirmed to me

0:40:16.280 --> 0:40:21.160
<v Speaker 10>that they had identified more than eighty five targets are

0:40:21.280 --> 0:40:24.240
<v Speaker 10>for the strikes on February the second. Those are against

0:40:24.280 --> 0:40:27.280
<v Speaker 10>seven facilities in Iraq and Syria, and they had used

0:40:27.360 --> 0:40:30.719
<v Speaker 10>AI to help narrow down those targets that were subsequently

0:40:30.760 --> 0:40:33.640
<v Speaker 10>struck using fighter aircraft and bombers.

0:40:34.560 --> 0:40:36.279
<v Speaker 3>The other way of looking at it is that sent

0:40:36.400 --> 0:40:41.120
<v Speaker 3>COM in its I guess experimentation, found very clearly that

0:40:41.160 --> 0:40:44.279
<v Speaker 3>there are limitations to the use of the technology, and

0:40:44.320 --> 0:40:48.440
<v Speaker 3>those immediately obvious ones are the order of attack and

0:40:48.480 --> 0:40:50.920
<v Speaker 3>which weapon the US should or shouldn't use.

0:40:51.520 --> 0:40:55.680
<v Speaker 10>They've been experimenting with AI and exercises for more than

0:40:55.719 --> 0:41:00.000
<v Speaker 10>a year now, and Skyler Moore, whose chief technology officers

0:41:00.280 --> 0:41:02.799
<v Speaker 10>at sen Com, she told me that AI is not

0:41:02.840 --> 0:41:07.000
<v Speaker 10>ready to make recommendations. They worked with an AI recommendation engine,

0:41:07.280 --> 0:41:10.719
<v Speaker 10>and humans are generally faring much better than AI at

0:41:10.719 --> 0:41:13.440
<v Speaker 10>the moment on that, but they are using AI for

0:41:13.560 --> 0:41:17.839
<v Speaker 10>computer vision algorithms and really integrating this targeting effort into

0:41:17.880 --> 0:41:21.520
<v Speaker 10>the entire flow of operations, so it's not just intelligence anymore.

0:41:21.800 --> 0:41:25.480
<v Speaker 10>It really is delivering weapons with the help of AI

0:41:25.560 --> 0:41:27.560
<v Speaker 10>targeting and to turning.

0:41:27.400 --> 0:41:31.120
<v Speaker 3>It very quickly. Is there any element of human verification here?

0:41:31.120 --> 0:41:33.960
<v Speaker 3>In other words, did a human check the work that

0:41:34.000 --> 0:41:35.839
<v Speaker 3>the AI proposed? Yes?

0:41:35.920 --> 0:41:40.800
<v Speaker 10>Absolutely, The targeting is making a series of recommendations. Humans

0:41:40.840 --> 0:41:44.160
<v Speaker 10>then verify it. And I was told that it's pretty

0:41:44.200 --> 0:41:47.960
<v Speaker 10>obvious when it's off, So humans are correcting it, giving

0:41:47.960 --> 0:41:51.280
<v Speaker 10>that feedback, that classic way of iterating the algorithm before

0:41:51.320 --> 0:41:53.640
<v Speaker 10>they go forward. And this is something that the National

0:41:53.680 --> 0:41:57.680
<v Speaker 10>Geospatial Intelligence Agency, which now runs MAVAN, is really trying

0:41:57.719 --> 0:42:00.839
<v Speaker 10>to improve the capabilities of Bloomberg.

0:42:00.920 --> 0:42:03.480
<v Speaker 3>Katrina Manson just terrific reporting out in New York. Thank

0:42:03.520 --> 0:42:05.920
<v Speaker 3>you so much. That does it for this edition of

0:42:05.960 --> 0:42:08.520
<v Speaker 3>Bloomberg Technology. Look, last week when I was off, I

0:42:08.560 --> 0:42:10.360
<v Speaker 3>listened to the show as a podcast. I know so

0:42:10.520 --> 0:42:13.360
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0:42:13.400 --> 0:42:15.960
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0:42:16.160 --> 0:42:19.640
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0:42:19.680 --> 0:42:21.480
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<v Speaker 3>in audio format. But again we're also everywhere else on

0:42:24.920 --> 0:42:28.200
<v Speaker 3>YouTube and on your television screen. As I speak from

0:42:28.239 --> 0:42:30.920
<v Speaker 3>San Francisco, this is Bloomberg Technology,