WEBVTT -  Musk Says Grok To Make Tesla Debut

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news. Bloomberg Tech is alive

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<v Speaker 1>from coast to coast with Caroline Hide in New York

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<v Speaker 1>and Eva Though in San Francisco.

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<v Speaker 2>This is Bloomberg Tech coming up.

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<v Speaker 3>Elon Musk's AI startup Xai is rolling out Grock four

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<v Speaker 3>and it will be coming to Tesla vehicles quote very soon.

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<v Speaker 3>Plus Graylock partner and LinkedIn co founder Reid Hoffman wis

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<v Speaker 3>in on the AI talent wars.

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<v Speaker 2>Why hundreds of millions for salaries is not crazy?

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<v Speaker 3>And Varda's Space raises one hundred and eighty seven million

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<v Speaker 3>dollars in a series funding to produce medicines in low

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<v Speaker 3>Earth orbit. But first we check in on these markets

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<v Speaker 3>that just pull back from those near term highs.

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<v Speaker 2>Again, we're actually bouncing off of our lows.

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<v Speaker 3>We're seeing the Nasdaq one only four tenths percent had

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<v Speaker 3>sold off.

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<v Speaker 4>More.

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<v Speaker 2>We've got a big bond cell today.

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<v Speaker 3>That's a test of appetite on the long end of

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<v Speaker 3>the curve, and that a lot has been dictating what's

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<v Speaker 3>happening in the equity markets. We take a pause amid

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<v Speaker 3>the ongoing barrage of news when it comes to Taris

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<v Speaker 3>Brazil the latest in the line of fire. But we're

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<v Speaker 3>looking at cryptos still catching a bid. So because this

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<v Speaker 3>were one hundred and eleven thousand, we exceeded one hundred

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<v Speaker 3>and twelve thousand yesterday. So this asset of choice at

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<v Speaker 3>the moment is up more than twenty percent year to date.

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<v Speaker 3>Move on, have a look at some of the individual

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<v Speaker 3>moves that dictate the.

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<v Speaker 2>Move of travel.

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<v Speaker 3>And then as that one hundred in videos off by

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<v Speaker 3>three ten percent, coming off of that all time high

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<v Speaker 3>that we on an intry day basis hit yesterday of

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<v Speaker 3>four trillion dollars, we pulled down.

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<v Speaker 2>So therefore than aw's that one hundred poorly.

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<v Speaker 3>Lower TSMC, though actually the ADRs are in the red.

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<v Speaker 3>But more broadly, Alyss is saying that the latest June

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<v Speaker 3>numbers on sales will then being hit more by FX woes.

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<v Speaker 3>This is a strong set of numbers coming from the

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<v Speaker 3>AI demand and Apple and in video demand for the

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<v Speaker 3>chip making juggernaut that is TSMC, and I'm looking at

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<v Speaker 3>Tesla up three percent.

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<v Speaker 2>In excess of this is as we get.

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<v Speaker 3>Not only hints fromine on Mask on his platform X

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<v Speaker 3>that we'll see Robotaxi coming out in California in San

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<v Speaker 3>Francisco relatively soon. But also Grock four, the announcement of

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<v Speaker 3>the chatbot of course that was showed off yesterday, also.

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<v Speaker 2>Coming at Tesla in the near term.

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<v Speaker 3>Let's dig into that with Jackie Devolas and Jackie this

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<v Speaker 3>really is moving to stop people anticipating what grop for

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<v Speaker 3>in the chat bolt could do when you're in the car.

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<v Speaker 5>That's exactly right, And because with Grock four, Musk actually

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<v Speaker 5>presented these two new models kind of as a breakdown

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<v Speaker 5>of the release. It had grock four and grock four Heavy,

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<v Speaker 5>and the ladder is really the company's this multi agent

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<v Speaker 5>version that offers this advanced performance. Musk said that GROK

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<v Speaker 5>Heavy could actually deploy multiple agents to work on a

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<v Speaker 5>problem and that they can all compare the work almost

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<v Speaker 5>like a study group. And it's said that Grock four

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<v Speaker 5>actually shows frontier level performance on several benchmarks. So this

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<v Speaker 5>is a really exciting moment for the company, especially when

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<v Speaker 5>you think about just kind of what a tumultuous week

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<v Speaker 5>it has.

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<v Speaker 2>Been for x and XAI. But as for Tesla drivers.

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<v Speaker 5>You know, this has been kind of something that's been

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<v Speaker 5>teased and really anticipated just given how intense these AI

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<v Speaker 5>wars are coming, and the more applications we can find

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<v Speaker 5>for them, companies are really eager to find ways to

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<v Speaker 5>monetize that.

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<v Speaker 3>Precisely, many have seen the intertwining of x and XAI,

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<v Speaker 3>and then at some point ad Or Musk even saying

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<v Speaker 3>maybe Tesla should invest in Xai more broadly because of

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<v Speaker 3>the dividends that will pay for the company. Remind us

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<v Speaker 3>of the tumultuous nature of this week, though, because we

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<v Speaker 3>have glock Falls unveiling hot on the heels of some

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<v Speaker 3>pretty difficult content that it was spewing out across the platform.

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<v Speaker 5>That's right, and you know it was related to some

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<v Speaker 5>replies to user posts that those replies had anti Semitic tropes,

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<v Speaker 5>it was glorifying Adolf Hitler in some others, and XAI

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<v Speaker 5>the company was forced to remove these inappropriate posts, and

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<v Speaker 5>the company also acknowledged that, you know, they should n't

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<v Speaker 5>have been up there.

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<v Speaker 2>But Musk himself kind of.

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<v Speaker 5>Almost avoided explicitly referring to them, but just said that quote,

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<v Speaker 5>we need to make sure.

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<v Speaker 2>That AI is good AI. And he he said that

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<v Speaker 2>on Wednesday night, so.

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<v Speaker 5>Of course, probably referring to some of those posts in

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<v Speaker 5>advance of this release because of course, as he's about

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<v Speaker 5>to release the latest and greatest model, the top question

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<v Speaker 5>for users broadly is how do we know that this

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<v Speaker 5>isn't just going to spew similar content? And then of

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<v Speaker 5>course Linda Yakarino stepping down as CEO of x so

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<v Speaker 5>there's a lot going on at x and XAI. But

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<v Speaker 5>you know this, this latest news that Tesla might have

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<v Speaker 5>this latest model is pretty exciting for people out there.

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<v Speaker 3>And helps it inchback on some of the losses experience

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<v Speaker 3>earlier in the week because of that ongoing feud between

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<v Speaker 3>Elo Musk and President Trump. A caudivolous with all the

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<v Speaker 3>laatest on groc four. We so appreciate it. Meanwhile, China's

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<v Speaker 3>Huawei is trying to export its AI chips to the

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<v Speaker 3>Middle East and Southeast Asia to establish a foothold in

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<v Speaker 3>markets dominated by Nvidia's despite ongoing manufacturing challenges for Huawei.

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<v Speaker 2>It's all according to sources our own ed Ludlow is

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<v Speaker 2>standing by in Sun Valley and I.

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<v Speaker 3>Want to dig into this with un because it's just

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<v Speaker 3>a small quantity of the chips we understand thus far

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<v Speaker 3>tentatively going to these places.

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<v Speaker 4>Yeah, low volumes, targeting Saudi Arabia and UAE in the

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<v Speaker 4>goal for then Malaysia, in Thailand in Southeast Asia. But

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<v Speaker 4>what our reporting tells us, and what our sources are

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<v Speaker 4>informing us of, is that Huawei wants to give access

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<v Speaker 4>to nine ten B prior older generation AI Accelerator card

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<v Speaker 4>so that customers in those regions can experience the technology

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<v Speaker 4>and then maybe in the long run look more deeply

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<v Speaker 4>at what Huawei has to offer. Completely right, that it's

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<v Speaker 4>low volumes in the thousands is what we're reporting, and

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<v Speaker 4>Huawei is supply constrained, it has a manufacturing cap and

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<v Speaker 4>what it's able to produce. But of course this is

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<v Speaker 4>politically difficult as well. It looks like this is Huawei

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<v Speaker 4>going out to the market and that there isn't actually

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<v Speaker 4>that much reciprocal interest.

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<v Speaker 6>Saudi Arabia, based.

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<v Speaker 4>On our reporting, seems the most likely to look at

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<v Speaker 4>those prior generationships. Saudi has a long standing relationship with Huawei,

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<v Speaker 4>but has also said that if America turned around and

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<v Speaker 4>was like, you're not doing business there, then Saudi cooperates.

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<v Speaker 4>So it's a dynamic situation. But Huawei flexing its muscles

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<v Speaker 4>a little, and.

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<v Speaker 3>Some dynamic conversations you're having over there in some valley.

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<v Speaker 3>How much has everyone been focused in on China US relations?

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<v Speaker 3>And indeed the big four trillion number hit by Nvidio yesterday.

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<v Speaker 4>Yeah, I mean, geopolitics and trade are common conversations here.

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<v Speaker 6>You expect that, right.

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<v Speaker 4>You have some of the CEOs of the world's largest

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<v Speaker 4>technology companies here who do a lot of business across borders.

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<v Speaker 4>Scott Besson, the Treasury Secretary, made a presentation there was

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<v Speaker 4>a model rated Q and A late yesterday morning where

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<v Speaker 4>he took questions from the audience. Some of those questions

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<v Speaker 4>related to tariffs and trade.

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<v Speaker 6>He also kind of.

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<v Speaker 4>Gave his kind of longer term view on the global

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<v Speaker 4>economy and on in video. Four trillion. Sure, you know,

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<v Speaker 4>it's kind of like a market moment in history. What's

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<v Speaker 4>so interesting? And it was part of the conversation that

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<v Speaker 4>I had with both Reid Hoffman and Steve Pauuka last night,

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<v Speaker 4>which I think we'll play a bit of later in

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<v Speaker 4>the show. Is four trillion just the beginning? And they

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<v Speaker 4>would argue, yes, it is, because it even though the

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<v Speaker 4>cost of inference is coming down, it's in video that

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<v Speaker 4>still has a hold on that and that market and

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<v Speaker 4>there is more room to run because you have frontier

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<v Speaker 4>models like you just discussed with Jackie Davilos on Grock four.

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<v Speaker 4>But there are other vertical models, very specific use case

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<v Speaker 4>models where we're just getting started in the development process.

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<v Speaker 6>So I found that really interesting.

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<v Speaker 3>Ed Ladlow will be going back to you and some

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<v Speaker 3>of your conversations at the Allen and Co.

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<v Speaker 2>Event. Thanks so much.

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<v Speaker 3>Now, look, let's stick with tech chips and in video

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<v Speaker 3>being the winning formula with epek Oskodeshka of Swiss quote

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<v Speaker 3>and it feels as though you probably are going to

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<v Speaker 3>echo what Steve paal Yuka, what read Hoffman, what Ed's

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<v Speaker 3>just been saying that we're just at the beginning with

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<v Speaker 3>this four trillion number.

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<v Speaker 7>I mean, definitely, the numbers are not surperviising right now,

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<v Speaker 7>and when you're looking at the valuation basis, Nvidia is

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<v Speaker 7>not necessarily much more expensive today than.

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<v Speaker 2>It was a year ago.

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<v Speaker 7>The pe ratio is totally acceptable, is around fifty two,

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<v Speaker 7>but with the upcoming earnings, we think that's going to

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<v Speaker 7>be pulled back to a low forties and four trillion number.

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<v Speaker 7>It incorporates not only what MVDA achieved so far. Obviously, yes,

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<v Speaker 7>but also what it will be achieving and their proactively

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<v Speaker 7>searching clients and expanding their client book to other continents

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<v Speaker 7>and to other sectors like robotics is very interesting. We

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<v Speaker 7>actually think that robotics is going to be the next

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<v Speaker 7>big milestone because giving AI hands, feet, and a body

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<v Speaker 7>is just going to be amazing. We're just at the

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<v Speaker 7>beginning of this AI revolution is just so exciting.

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<v Speaker 2>And other companies benefit too.

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<v Speaker 3>We think of TSMC, which is the chip maker of

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<v Speaker 3>choice Foreign Video their numbers once again according to the

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<v Speaker 3>Bloomberg Mathematics it is about thirty nine percent increase in

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<v Speaker 3>revenue in the previous quarter just gone epec how much

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<v Speaker 3>we likely to see other chip makers really fueled higher.

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<v Speaker 2>AMD doing well today on the back of it, well,

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<v Speaker 2>we have been.

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<v Speaker 7>Quite positive for AMD hasn't done perfectly well over the

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<v Speaker 7>past few months. Now it is back to the bullish consolidation.

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<v Speaker 7>So now we think that companies AMD alternatis are cheaper versions.

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<v Speaker 7>Will be quite interesting when the AI adoption is going

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<v Speaker 7>to go wider because companies, some companies will be looking

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<v Speaker 7>for these cheaper alternatives. This thing said, MVD is not

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<v Speaker 7>only offering chips, they're offering ecosystem, and this is where

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<v Speaker 7>MVDA is still beating this competition. This is why probably

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<v Speaker 7>we see the growth and an a in AMD and

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<v Speaker 7>investor interest in AMD remain quite though, but we think

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<v Speaker 7>that AMD's time will come.

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<v Speaker 3>Both AMD and Nvidia still want to have a presence

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<v Speaker 3>in China as an end market, and actually there's reporting

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<v Speaker 3>that Jenson Wang is going out to China very soon

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<v Speaker 3>because he wants to be making yet another specific chip

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<v Speaker 3>that is allowed to be exported. How much is that

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<v Speaker 3>a headwind for you or indeed a long term tailwind

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<v Speaker 3>whether or not they will have access to this market.

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<v Speaker 7>Well, China is a very sensitive as a politically and

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<v Speaker 7>a geopolitical sensitive market, so when Nvidia goes into that market,

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<v Speaker 7>we know that the risk on that specific.

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<v Speaker 2>Segment is higher.

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<v Speaker 7>But the company's efforts in expanding beyond China and the

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<v Speaker 7>US markets like Europe for example, and Middle East, which

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<v Speaker 7>do have deep pockets and very big potential, actually delutes

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<v Speaker 7>the risk of while not doing business in China, we

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<v Speaker 7>think that China is still worth trying. As Jensen Huang says,

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<v Speaker 7>it's not necessarily a good idea to completely ben chips

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<v Speaker 7>from China because it will only push them to do better.

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<v Speaker 7>So I think that China is.

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<v Speaker 2>Still interesting market. But if the risk could.

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<v Speaker 7>Be diluted like MVDA is doing today, then it's going

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<v Speaker 7>to be only a tailwind rather than a headwind.

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<v Speaker 2>Just putting it in the context, and your note does

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<v Speaker 2>this so well for us Epek, I love reading them.

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<v Speaker 3>That basically in video is up one thousand percent since

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<v Speaker 3>CHATCHIBT came to all of US AI general to AI

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<v Speaker 3>was put in yours in my hands.

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<v Speaker 2>How much your client's.

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<v Speaker 3>Bulking at the fact that we have seen this run.

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<v Speaker 3>I know you talk about the pes actually big, relatively appetizing.

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<v Speaker 3>We are at a technically overbought level, though if you're

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<v Speaker 3>looking at the RSI, well yes.

0:11:37.880 --> 0:11:41.599
<v Speaker 7>In the short one, we are at overbought markets conditions,

0:11:41.600 --> 0:11:44.160
<v Speaker 7>meaning that NVDA stocks may have been built too quickly

0:11:44.200 --> 0:11:46.840
<v Speaker 7>in a too short period of time. But what investors

0:11:46.880 --> 0:11:50.160
<v Speaker 7>look with Nvidia is not necessarily the short term dynamics

0:11:50.200 --> 0:11:53.680
<v Speaker 7>and short term indicators. They actually do have this very

0:11:53.760 --> 0:11:57.480
<v Speaker 7>long term perspective on what Nvidia will be involved in

0:11:57.480 --> 0:12:00.480
<v Speaker 7>in the next decade. Nvidia is a company that is

0:12:00.520 --> 0:12:02.880
<v Speaker 7>going to be at the heart of AI and robotics,

0:12:02.920 --> 0:12:04.000
<v Speaker 7>for the next decade.

0:12:04.120 --> 0:12:05.680
<v Speaker 2>So if the price is over.

0:12:05.840 --> 0:12:11.880
<v Speaker 7>Today, it is not necessarily a major significant downside correction.

0:12:13.200 --> 0:12:15.439
<v Speaker 2>Downside correction potential for the long term.

0:12:15.440 --> 0:12:20.880
<v Speaker 7>Investors are really looking at what Nvidia will mean in two, three, five,

0:12:21.000 --> 0:12:23.720
<v Speaker 7>ten years from now, and when you look at that perspective,

0:12:24.000 --> 0:12:26.120
<v Speaker 7>the company still has so much to offer.

0:12:26.559 --> 0:12:30.240
<v Speaker 3>We've talked about Asian companies TSMC, for example, you're sat

0:12:30.320 --> 0:12:33.400
<v Speaker 3>in Switzerland. We've got a European tech show recently launched

0:12:33.440 --> 0:12:36.200
<v Speaker 3>as well. How much are you thinking about the European

0:12:36.200 --> 0:12:39.079
<v Speaker 3>opportunity here? Are there any names other than the ASML

0:12:39.160 --> 0:12:40.679
<v Speaker 3>that have been coming to light when it comes to.

0:12:40.600 --> 0:12:43.760
<v Speaker 2>AI, Well, we do have a couple of names.

0:12:43.760 --> 0:12:47.199
<v Speaker 7>We obviously don't have names like you do in the US,

0:12:47.240 --> 0:12:51.280
<v Speaker 7>like Facebook, Meta, Amazon. So what's going to be interesting

0:12:51.360 --> 0:12:53.920
<v Speaker 7>in Europe in terms of AI, I think is going

0:12:53.960 --> 0:12:58.720
<v Speaker 7>to be more specific models, sectors specific models, business specific models,

0:12:58.720 --> 0:13:01.240
<v Speaker 7>so that they can find the data that they need

0:13:01.280 --> 0:13:04.080
<v Speaker 7>in order to train these models. We do not have

0:13:04.200 --> 0:13:08.320
<v Speaker 7>these huge AI labs, these huge platforms that could help

0:13:08.520 --> 0:13:10.800
<v Speaker 7>building these models. So it's going to be a very

0:13:10.840 --> 0:13:14.240
<v Speaker 7>different play in Europe, and European companies will be going

0:13:14.440 --> 0:13:18.640
<v Speaker 7>case by case and they will be building smaller, more

0:13:18.679 --> 0:13:23.760
<v Speaker 7>specific models in order to benefit from AI's AI benefits.

0:13:23.840 --> 0:13:27.199
<v Speaker 7>So it's going to be very different landscape of AI

0:13:27.280 --> 0:13:29.520
<v Speaker 7>when you're looking at Europe, rather than what we see

0:13:29.520 --> 0:13:29.800
<v Speaker 7>in the.

0:13:29.840 --> 0:13:32.800
<v Speaker 2>US today, the world wide big.

0:13:32.559 --> 0:13:35.160
<v Speaker 7>Companies reaching out to everyone. I think it's going to

0:13:35.200 --> 0:13:37.560
<v Speaker 7>be much more B to B business based.

0:13:38.320 --> 0:13:41.120
<v Speaker 3>Ibek PSKODESHKAA great to have some time with you a

0:13:41.200 --> 0:13:41.920
<v Speaker 3>Swiss code.

0:13:42.080 --> 0:13:42.880
<v Speaker 2>We appreciate it.

0:13:43.360 --> 0:13:46.080
<v Speaker 3>Like coming up Prime Day, it enters its third day

0:13:46.120 --> 0:13:48.959
<v Speaker 3>of deals. People want anything, yet it'll take a look

0:13:48.960 --> 0:13:51.000
<v Speaker 3>at whether it's managing to entice shoppers.

0:13:51.559 --> 0:13:52.480
<v Speaker 2>This is Blue Bag Tech.

0:14:07.800 --> 0:14:10.520
<v Speaker 8>We're really pleased by the engagement that we're getting from

0:14:10.520 --> 0:14:13.079
<v Speaker 8>our customers and our members. Not only is the event

0:14:13.280 --> 0:14:15.680
<v Speaker 8>twice as long, so four days, as you mentioned, but

0:14:15.760 --> 0:14:18.720
<v Speaker 8>we're also offering more than double the number of deals

0:14:18.760 --> 0:14:21.960
<v Speaker 8>that are fifty percent off or more. That's striving engagement

0:14:21.960 --> 0:14:23.440
<v Speaker 8>across the millions of deals we have.

0:14:23.480 --> 0:14:24.480
<v Speaker 6>In thirty five categories.

0:14:24.560 --> 0:14:25.800
<v Speaker 8>So we're really pleased.

0:14:25.840 --> 0:14:26.600
<v Speaker 6>But it's very early.

0:14:26.640 --> 0:14:31.240
<v Speaker 3>Of course, Amazon Prime Vice President Jamil Ghani there weighing

0:14:31.280 --> 0:14:34.400
<v Speaker 3>in on the early numbers trickling in yesterday. Let's get

0:14:34.400 --> 0:14:36.960
<v Speaker 3>an update now, with Bluemberg Spenser Sopa on day three

0:14:37.240 --> 0:14:40.280
<v Speaker 3>of Prime Day. How hard is it to really discern

0:14:40.320 --> 0:14:41.640
<v Speaker 3>whether this is going well or not?

0:14:41.760 --> 0:14:44.720
<v Speaker 2>Spencer, Yes, it's very tricky.

0:14:44.760 --> 0:14:47.360
<v Speaker 9>You know, you're comparing a two day event last year

0:14:47.440 --> 0:14:49.880
<v Speaker 9>last year to a four day event this year. Amazon's

0:14:49.880 --> 0:14:52.440
<v Speaker 9>experiment is like, hey, what if we kind of slow

0:14:52.480 --> 0:14:54.600
<v Speaker 9>the sales cadence down a little bit but spread it

0:14:54.640 --> 0:14:56.760
<v Speaker 9>over a longer period of days, will that be.

0:14:56.720 --> 0:14:57.440
<v Speaker 6>Better for us?

0:14:57.640 --> 0:14:59.640
<v Speaker 9>And that's the experiment, So that's where these next two

0:14:59.680 --> 0:15:02.200
<v Speaker 9>days are really going to be critical. Can Amazon kind

0:15:02.240 --> 0:15:06.760
<v Speaker 9>of sustain this kind of more muted momentum over four

0:15:06.840 --> 0:15:09.160
<v Speaker 9>days or do people just trail off? So that's really

0:15:09.200 --> 0:15:11.800
<v Speaker 9>what we're what we're looking to see on days three

0:15:11.800 --> 0:15:12.120
<v Speaker 9>and four.

0:15:12.240 --> 0:15:16.720
<v Speaker 3>I mean talking to momentum. Momentum Commerce was an advisor

0:15:16.760 --> 0:15:20.040
<v Speaker 3>that you went to on a data analysis service that

0:15:20.160 --> 0:15:22.680
<v Speaker 3>seems to be showing that the numbers were pretty poor

0:15:22.680 --> 0:15:23.680
<v Speaker 3>at the start of things.

0:15:24.960 --> 0:15:28.080
<v Speaker 9>Yeah, and again let's emphasize that was the first day

0:15:28.160 --> 0:15:30.520
<v Speaker 9>of what is now a four day event as opposed

0:15:30.520 --> 0:15:32.120
<v Speaker 9>to the first day last year when it was a

0:15:32.120 --> 0:15:34.400
<v Speaker 9>two day event. So when you prolong an event, you

0:15:34.800 --> 0:15:39.560
<v Speaker 9>lose that sense of urgency. People aren't necessarily shopping, people

0:15:39.600 --> 0:15:40.800
<v Speaker 9>aren't necessarily compelled.

0:15:40.560 --> 0:15:41.440
<v Speaker 6>To act immediately.

0:15:41.840 --> 0:15:45.240
<v Speaker 9>And you know when you had the Amazon executive on yesterday,

0:15:45.240 --> 0:15:46.760
<v Speaker 9>the key word there was engagement.

0:15:46.800 --> 0:15:48.119
<v Speaker 6>You know, they're pleased with engagement.

0:15:48.320 --> 0:15:50.640
<v Speaker 9>That means people are kind of poking around, but they're

0:15:50.680 --> 0:15:54.280
<v Speaker 9>not really buying, so everything kind of tracks. It's just

0:15:54.320 --> 0:15:56.840
<v Speaker 9>a question of you know, are people going to keep

0:15:56.840 --> 0:15:59.040
<v Speaker 9>buying through days three and four? And if they do,

0:15:59.200 --> 0:16:01.400
<v Speaker 9>Momentum said, you know, the four day event should yield

0:16:01.440 --> 0:16:03.880
<v Speaker 9>a lift compared to the two day event last year.

0:16:04.080 --> 0:16:05.360
<v Speaker 6>But that's the big question.

0:16:05.440 --> 0:16:09.280
<v Speaker 9>We'll see if Amazon's experiment is working today and tomorrow.

0:16:09.600 --> 0:16:10.080
<v Speaker 2>Big bet.

0:16:10.280 --> 0:16:12.960
<v Speaker 3>Spenser, Sopa, you stay on it, Thank you so much.

0:16:13.640 --> 0:16:16.560
<v Speaker 3>Now coming up, Gecko Robotics says twenty twenty five is

0:16:16.600 --> 0:16:19.800
<v Speaker 3>the Year of the robot. We speak with a CEO

0:16:19.920 --> 0:16:23.280
<v Speaker 3>live from some Vallely, Idaho. Next this is Bluemberg Tech.

0:16:35.760 --> 0:16:38.640
<v Speaker 3>Let's get back out to sun Valley, Idaho, where Ed

0:16:38.720 --> 0:16:40.000
<v Speaker 3>Ludlow is standing by with.

0:16:40.000 --> 0:16:40.920
<v Speaker 2>A special guest.

0:16:41.080 --> 0:16:41.160
<v Speaker 10>Ed.

0:16:42.400 --> 0:16:45.760
<v Speaker 4>Yeah, let's talk about robotics and we're not talking humanoid rebulics.

0:16:45.800 --> 0:16:49.040
<v Speaker 4>Actually really interesting. Gecko Robotics and his co founder CEO

0:16:49.200 --> 0:16:52.240
<v Speaker 4>Jake Lucerian, There's a lot of attention on you. And

0:16:52.280 --> 0:16:55.040
<v Speaker 4>one of the reasons why is this super interesting business model.

0:16:55.480 --> 0:17:00.960
<v Speaker 4>The robots basically can assess the structural integrity of various facilities,

0:17:01.080 --> 0:17:04.640
<v Speaker 4>cool energy infrastructure. But actually a big part of your

0:17:04.640 --> 0:17:07.879
<v Speaker 4>business is AI and data. You sell them as a package.

0:17:08.119 --> 0:17:10.119
<v Speaker 4>Give us the basics on Gego Robotics and we'll go

0:17:10.200 --> 0:17:10.439
<v Speaker 4>from that.

0:17:10.640 --> 0:17:13.800
<v Speaker 11>Yeah, thanks, Ed, Well, it's the company was started out

0:17:13.840 --> 0:17:16.200
<v Speaker 11>with this mission of diagnosing the health of the built world,

0:17:16.520 --> 0:17:18.119
<v Speaker 11>and so I started out of a college dorm with

0:17:18.280 --> 0:17:20.760
<v Speaker 11>that with that ambition emission, and what we were able to

0:17:20.840 --> 0:17:23.240
<v Speaker 11>understand and determine is we start with the foundation of

0:17:23.320 --> 0:17:26.080
<v Speaker 11>understanding the health of built structures, whether it's a dam

0:17:26.200 --> 0:17:31.560
<v Speaker 11>or a bridge, a vessel, of oil and gas refinery.

0:17:31.160 --> 0:17:32.639
<v Speaker 6>Whatever the physical structure is.

0:17:32.800 --> 0:17:34.560
<v Speaker 11>If you understand the health of that, you begin to

0:17:34.560 --> 0:17:37.439
<v Speaker 11>get really good at understanding how these facilities work and function.

0:17:37.880 --> 0:17:40.359
<v Speaker 11>And then what we've done is we've used all that

0:17:40.400 --> 0:17:43.520
<v Speaker 11>information data and the processing data from the facilities and

0:17:43.560 --> 0:17:45.880
<v Speaker 11>also the smart centors that we've built to be able

0:17:45.920 --> 0:17:49.320
<v Speaker 11>to create an operating platform to help those facilities run

0:17:49.640 --> 0:17:53.639
<v Speaker 11>in some cases twenty percent less cost for CAPEX and

0:17:53.720 --> 0:17:58.320
<v Speaker 11>running those facilities, but also operate fifteen percent more efficient

0:17:58.400 --> 0:18:00.920
<v Speaker 11>in some cases. And so the applications of the fence

0:18:00.960 --> 0:18:03.159
<v Speaker 11>and commercial are enabled because.

0:18:02.880 --> 0:18:04.440
<v Speaker 6>We have an unfair data advantage.

0:18:05.040 --> 0:18:09.199
<v Speaker 4>Someone that's never seen a Geho robotics robot scaling a wall,

0:18:09.800 --> 0:18:12.000
<v Speaker 4>explain what it looks like, how many of them are

0:18:12.040 --> 0:18:14.400
<v Speaker 4>out there and deployed in the real world, and what

0:18:14.520 --> 0:18:17.359
<v Speaker 4>kinds of commercial businesses are using them right now.

0:18:17.720 --> 0:18:21.399
<v Speaker 11>Yeah, So the robots feed into the software operating platform

0:18:21.440 --> 0:18:23.760
<v Speaker 11>called Candilever, and the robots can look like the size

0:18:23.760 --> 0:18:27.160
<v Speaker 11>of a briefcase, climbing up a wall, climbing around, piping.

0:18:27.880 --> 0:18:31.600
<v Speaker 11>We also have drones, were walking robots, or smart sensors.

0:18:31.720 --> 0:18:34.760
<v Speaker 11>But all these tools are gathering information and data and

0:18:34.800 --> 0:18:36.360
<v Speaker 11>plugging into that central software.

0:18:36.359 --> 0:18:37.240
<v Speaker 6>And then what we've been able to.

0:18:37.160 --> 0:18:40.119
<v Speaker 11>See is that customers are actually asking can we put

0:18:40.160 --> 0:18:44.760
<v Speaker 11>our operational or our IoT sensor data into that platform

0:18:44.840 --> 0:18:47.919
<v Speaker 11>as well to derive better results, outcomes or decisions on

0:18:47.960 --> 0:18:49.840
<v Speaker 11>the ground. So what we've done is we've begun to

0:18:50.000 --> 0:18:52.479
<v Speaker 11>enable the folks on the ground to become not just

0:18:52.600 --> 0:18:55.480
<v Speaker 11>blue collar workers, but engineers because they can use the

0:18:55.600 --> 0:18:57.760
<v Speaker 11>LLLM that we have inside of Candile Leaver to be

0:18:57.760 --> 0:19:00.000
<v Speaker 11>able to understand what sort of decisions to make because

0:19:00.080 --> 0:19:02.160
<v Speaker 11>they have the data that allows them.

0:19:02.000 --> 0:19:03.680
<v Speaker 6>To be superpowered in that way.

0:19:03.800 --> 0:19:06.200
<v Speaker 4>So the energy sector is somewhere where you're very focused.

0:19:06.200 --> 0:19:09.480
<v Speaker 4>Next week, in your hometown, home state, there is a

0:19:09.520 --> 0:19:13.359
<v Speaker 4>gathering of political gathering with the energy industry. You work

0:19:13.480 --> 0:19:17.120
<v Speaker 4>with Legacy Energy to basically say here's how you could

0:19:17.119 --> 0:19:19.560
<v Speaker 4>be better, just explain how the type works.

0:19:19.840 --> 0:19:23.720
<v Speaker 11>Yeah, So they're right in Pittsburgh next week, the President

0:19:24.160 --> 0:19:26.800
<v Speaker 11>and put on by Senator McCormick, is bringing some of

0:19:26.800 --> 0:19:29.240
<v Speaker 11>the biggest names in energy and AI to the city

0:19:29.240 --> 0:19:30.119
<v Speaker 11>of Pittsburgh.

0:19:29.720 --> 0:19:31.520
<v Speaker 6>Where Get Goobrobotics is based.

0:19:32.359 --> 0:19:33.879
<v Speaker 11>And so what it's going to be all about is

0:19:34.280 --> 0:19:36.520
<v Speaker 11>not just what's the state of things and what the

0:19:36.520 --> 0:19:39.680
<v Speaker 11>infrastructure for AI look like, But more importantly, the message

0:19:39.720 --> 0:19:43.800
<v Speaker 11>that I'm delivering and I'm speaking on in particular with

0:19:43.880 --> 0:19:47.000
<v Speaker 11>some of those leaders is how we should begin to

0:19:47.119 --> 0:19:50.080
<v Speaker 11>judge AI's impact and energy by how much AI can

0:19:50.080 --> 0:19:53.639
<v Speaker 11>actually create energy. Example, one of the biggest customers that

0:19:53.640 --> 0:19:55.480
<v Speaker 11>we have that helps to run five percent of the

0:19:55.520 --> 0:19:58.640
<v Speaker 11>power in the US, the five facilities that we've been

0:19:58.640 --> 0:20:02.200
<v Speaker 11>able to deploy our technology stack and operating platform at

0:20:02.440 --> 0:20:05.240
<v Speaker 11>have been able to show a huge increase to the

0:20:05.240 --> 0:20:08.600
<v Speaker 11>heat rate of these natural gas power plants. The extrapolated

0:20:08.640 --> 0:20:12.040
<v Speaker 11>impact is about ten gigawatts of more power without having

0:20:12.040 --> 0:20:14.280
<v Speaker 11>to create a single new power point. This is a

0:20:14.359 --> 0:20:17.160
<v Speaker 11>huge outcome as it relates to how do you combat

0:20:17.240 --> 0:20:21.000
<v Speaker 11>this issue. We don't have enough energy to power the

0:20:21.119 --> 0:20:24.520
<v Speaker 11>US In particular, to be the leader in artificial intelligence,

0:20:24.960 --> 0:20:27.120
<v Speaker 11>energy is a constraint, and so AI should be able

0:20:27.160 --> 0:20:28.119
<v Speaker 11>to unlock.

0:20:27.880 --> 0:20:29.760
<v Speaker 6>Energy, not always the other way around.

0:20:29.960 --> 0:20:32.320
<v Speaker 4>And what's so interesting is we're talking about some carbon

0:20:32.359 --> 0:20:33.800
<v Speaker 4>based legacy source of energy.

0:20:33.920 --> 0:20:34.520
<v Speaker 6>There's a lot of.

0:20:34.440 --> 0:20:36.439
<v Speaker 4>Focus on you right now because last month you hit

0:20:36.440 --> 0:20:38.400
<v Speaker 4>a one point two five billion dollar valuation.

0:20:39.640 --> 0:20:40.560
<v Speaker 6>You want to scale.

0:20:40.640 --> 0:20:42.879
<v Speaker 4>I know that you're kind of very focused on just

0:20:43.040 --> 0:20:45.960
<v Speaker 4>keep continuing growing where we see a follow on round.

0:20:46.119 --> 0:20:49.080
<v Speaker 6>Just to keep that on the hardware side going.

0:20:49.400 --> 0:20:52.720
<v Speaker 11>We really so the way that customers buy and work

0:20:52.760 --> 0:20:55.000
<v Speaker 11>with get Go is they buy the operating platform and

0:20:55.040 --> 0:20:57.440
<v Speaker 11>all the robots and centsives just by the rover.

0:20:57.520 --> 0:20:58.320
<v Speaker 6>They don't buy any of that.

0:20:58.400 --> 0:21:00.439
<v Speaker 11>It all feeds into the outcomes that we are deliver

0:21:00.680 --> 0:21:03.440
<v Speaker 11>with the operating platform, and so the biggest oil and

0:21:03.440 --> 0:21:05.639
<v Speaker 11>gas companies in the world will be unveiling things in

0:21:06.359 --> 0:21:09.160
<v Speaker 11>a couple quarters. Same with manufacturing facilities that are making

0:21:09.200 --> 0:21:13.480
<v Speaker 11>steel or making copper. We go into these old sectors

0:21:13.480 --> 0:21:16.960
<v Speaker 11>as Silicon Valley has very much forgotten about, and what

0:21:16.960 --> 0:21:18.919
<v Speaker 11>that means for us is that the scale and the

0:21:18.960 --> 0:21:22.040
<v Speaker 11>impact of pragmatic artificial intelligence robotics.

0:21:21.840 --> 0:21:23.199
<v Speaker 6>Is hitting this inflection point.

0:21:23.280 --> 0:21:25.760
<v Speaker 11>And you think about physical intelligence, and Jensen talks a

0:21:25.760 --> 0:21:29.200
<v Speaker 11>lot about this physical intelligence in these built environments, whether

0:21:29.200 --> 0:21:30.679
<v Speaker 11>it be in the defense sector that we work in

0:21:30.760 --> 0:21:34.040
<v Speaker 11>or it's in the industrial there is very little physical

0:21:34.040 --> 0:21:36.560
<v Speaker 11>intelligence and so we are the leading company as it

0:21:36.600 --> 0:21:39.679
<v Speaker 11>relates to creating that which enables a moat for our

0:21:39.760 --> 0:21:43.399
<v Speaker 11>artificial intelligence to be exceptionally better than those that are

0:21:43.440 --> 0:21:46.440
<v Speaker 11>coming with a software only solution. Meaning to the answer

0:21:46.480 --> 0:21:53.040
<v Speaker 11>to your question, scaling and increasing the amounts of fuel

0:21:53.080 --> 0:21:55.520
<v Speaker 11>to fire to that fire is something that we're going

0:21:55.560 --> 0:21:56.399
<v Speaker 11>to need to do the next time we.

0:21:56.560 --> 0:21:59.440
<v Speaker 4>Have fifteen seconds. But your relationship with Nvidia, you're happy

0:21:59.440 --> 0:21:59.960
<v Speaker 4>with them.

0:22:00.240 --> 0:22:03.400
<v Speaker 6>Yeah, I'm really happy with them. There have been great but.

0:22:05.640 --> 0:22:09.240
<v Speaker 11>Looking at physical intelligence for these industrial sectors, there's a

0:22:09.840 --> 0:22:11.720
<v Speaker 11>lot more to go and so hopefully we can help out.

0:22:12.119 --> 0:22:15.639
<v Speaker 4>Jake Luceerrian is the Gecko Robotics co founder and CEO

0:22:15.920 --> 0:22:17.639
<v Speaker 4>out here in some valley, and a lot of people

0:22:17.640 --> 0:22:19.320
<v Speaker 4>were interested in talking to this guy, Karro.

0:22:19.440 --> 0:22:21.159
<v Speaker 3>I bet it really does feel like the year of

0:22:21.160 --> 0:22:24.600
<v Speaker 3>the robot. Great conversation. I thank you. Coming up, our

0:22:24.600 --> 0:22:29.520
<v Speaker 3>analysts say Apple should consider replacing Tim Cook. More on

0:22:29.560 --> 0:22:42.480
<v Speaker 3>that note. Next, this is bluebg Tech. Welcome back to

0:22:42.520 --> 0:22:44.640
<v Speaker 3>Blue beg Tech. Let's take a quick check on these

0:22:44.680 --> 0:22:46.480
<v Speaker 3>markets as we are open for trade, and.

0:22:46.440 --> 0:22:49.000
<v Speaker 2>Then as that one hundred has been flitting.

0:22:48.640 --> 0:22:51.280
<v Speaker 3>Between gains and losses. Earlier in trade, we went down

0:22:51.280 --> 0:22:51.640
<v Speaker 3>in the red.

0:22:51.680 --> 0:22:53.600
<v Speaker 2>We're off of our lowers. We're off about a quarter

0:22:53.600 --> 0:22:54.119
<v Speaker 2>of a percent.

0:22:54.200 --> 0:22:56.119
<v Speaker 3>But when you've got in video in the red, of

0:22:56.160 --> 0:22:58.520
<v Speaker 3>course that ples us a little bit lower. But more generally,

0:22:58.520 --> 0:23:00.560
<v Speaker 3>we're waiting on a big bond orction. A lot of

0:23:00.560 --> 0:23:02.800
<v Speaker 3>the yield movements been dictating what's happening in the stock

0:23:02.800 --> 0:23:05.919
<v Speaker 3>market right now, but we are still near all time highs.

0:23:06.240 --> 0:23:09.000
<v Speaker 3>Let's move on and think about what is very close

0:23:09.080 --> 0:23:11.240
<v Speaker 3>to an all time high. We hit in excess of

0:23:11.280 --> 0:23:15.840
<v Speaker 3>one hundred and twelve thousand dollars for bitcoin yesterday. We're

0:23:15.840 --> 0:23:18.160
<v Speaker 3>at sixtens a percent on the interday basis, one hundred

0:23:18.160 --> 0:23:20.439
<v Speaker 3>and eleven thousand, ninety five is where we trade, and

0:23:20.480 --> 0:23:22.840
<v Speaker 3>it really does seem that in mid the trade anxiety

0:23:22.880 --> 0:23:25.679
<v Speaker 3>there still is a risk asset of choice.

0:23:25.760 --> 0:23:29.159
<v Speaker 2>Of course, apparently next week is crypto week according to

0:23:29.200 --> 0:23:29.679
<v Speaker 2>the House.

0:23:30.160 --> 0:23:33.320
<v Speaker 3>In terms of Washington, we'll see how those changes in

0:23:33.400 --> 0:23:36.399
<v Speaker 3>rules and regulations continue to transpire. But let's get back

0:23:36.400 --> 0:23:37.919
<v Speaker 3>to some of the big tech news here. When it

0:23:37.920 --> 0:23:42.600
<v Speaker 3>comes to AI, Google's Gemina Gemini AI gets a new feature.

0:23:42.840 --> 0:23:45.440
<v Speaker 3>The company says it's the latest AI update, can now

0:23:45.480 --> 0:23:49.360
<v Speaker 3>produce eight second videos out of ordinary still pictures if

0:23:49.359 --> 0:23:50.240
<v Speaker 3>you're a paid user.

0:23:50.440 --> 0:23:53.200
<v Speaker 2>For all, Bloomberg's Dana Woman is here to join us.

0:23:53.680 --> 0:23:58.520
<v Speaker 3>This is really AI ultra AI pro users of Google

0:23:58.800 --> 0:24:00.680
<v Speaker 3>being able to keep up with what perhaps you're already

0:24:00.680 --> 0:24:03.480
<v Speaker 3>getting on an open AI or with a runway for example.

0:24:03.760 --> 0:24:05.720
<v Speaker 12>Yes, this is a feature that will be available to

0:24:05.840 --> 0:24:08.720
<v Speaker 12>paid Gemini users, and it is a technology that Google

0:24:08.800 --> 0:24:12.600
<v Speaker 12>first launched at its Io developer conference back in May.

0:24:12.800 --> 0:24:14.879
<v Speaker 12>But this makes it available to a much broader swath

0:24:15.040 --> 0:24:17.240
<v Speaker 12>of users, allowing it, as you said, to better keep

0:24:17.280 --> 0:24:18.720
<v Speaker 12>pace with rivals.

0:24:18.720 --> 0:24:20.800
<v Speaker 2>And it does have many rivals in this space, it

0:24:20.840 --> 0:24:21.760
<v Speaker 2>does have rivals.

0:24:21.960 --> 0:24:25.240
<v Speaker 3>It does also have a stop start feeling to Google

0:24:25.280 --> 0:24:28.000
<v Speaker 3>because many would say, look, there were the reason they're

0:24:28.119 --> 0:24:31.080
<v Speaker 3>underlying research is why we've got general to AI in

0:24:31.119 --> 0:24:34.240
<v Speaker 3>the first place with the transformer perspective. But they had

0:24:34.280 --> 0:24:37.359
<v Speaker 3>this sort of inevitable feeling that they were losing pace

0:24:37.400 --> 0:24:40.439
<v Speaker 3>with rivals. Then they had the issue about whether or

0:24:40.440 --> 0:24:43.880
<v Speaker 3>not there was some generative AI image features that change

0:24:43.920 --> 0:24:47.360
<v Speaker 3>people's race, or there was a sort of a concern there.

0:24:47.400 --> 0:24:50.320
<v Speaker 2>This is being replicated again in the video or no.

0:24:51.240 --> 0:24:54.720
<v Speaker 12>Yes, So Google had a while ago pause certain generative

0:24:54.760 --> 0:25:01.080
<v Speaker 12>AI features just for that reason. But here it there

0:25:01.119 --> 0:25:03.760
<v Speaker 12>are some guardrails in place that said. We tested it

0:25:03.800 --> 0:25:07.479
<v Speaker 12>ourselves and the results were both fascinating and somewhat mixed.

0:25:08.280 --> 0:25:12.000
<v Speaker 12>For instance, reporter Natalie Lung, who is Asian, she did

0:25:12.040 --> 0:25:14.960
<v Speaker 12>include a photo of herself and the AI did change

0:25:14.960 --> 0:25:17.439
<v Speaker 12>her race in one of the videos without her asking it.

0:25:17.480 --> 0:25:21.840
<v Speaker 12>To other goofs, we did ask for a video of

0:25:22.119 --> 0:25:25.479
<v Speaker 12>someone breakdancing, we did not see any break dancing. Sadly,

0:25:26.400 --> 0:25:30.119
<v Speaker 12>the AI did follow other instructions we gave faithfully, but

0:25:30.240 --> 0:25:32.040
<v Speaker 12>not that one. So the results were mixed and we

0:25:32.040 --> 0:25:34.639
<v Speaker 12>do expect the technology to improve.

0:25:34.640 --> 0:25:37.000
<v Speaker 3>And people do seem to really love what's been coming

0:25:37.000 --> 0:25:40.200
<v Speaker 3>out in terms of image generation coming from Google and Gemini.

0:25:40.040 --> 0:25:41.040
<v Speaker 2>Writ large of late.

0:25:41.440 --> 0:25:44.440
<v Speaker 3>But meanwhile Apple everyone still thinks is behind the curve

0:25:44.480 --> 0:25:45.359
<v Speaker 3>when it comes to AI.

0:25:45.600 --> 0:25:46.080
<v Speaker 2>Is interesting.

0:25:46.080 --> 0:25:49.840
<v Speaker 3>We've got a note out today with analysts really talking

0:25:49.880 --> 0:25:53.320
<v Speaker 3>about how maybe it's time to replace Tim Cook even

0:25:53.440 --> 0:25:56.240
<v Speaker 3>we were hearing some view that really the AI focus

0:25:56.320 --> 0:25:58.440
<v Speaker 3>is what needs to win here from a product perspective,

0:25:58.520 --> 0:26:00.280
<v Speaker 3>rather than having someone in charge who.

0:26:00.200 --> 0:26:03.520
<v Speaker 2>Owns the supply chain. But the fierce talent for AI.

0:26:03.880 --> 0:26:06.480
<v Speaker 3>The wall going on is an amazing scoop that Mark

0:26:06.480 --> 0:26:08.600
<v Speaker 3>German's been bringing us all week. And now we understand

0:26:08.600 --> 0:26:11.240
<v Speaker 3>two hundred million might have been parted with to.

0:26:11.320 --> 0:26:12.480
<v Speaker 2>Nab the head of AI.

0:26:13.320 --> 0:26:16.040
<v Speaker 12>A pay package worth more than two hundred million. And

0:26:16.080 --> 0:26:18.600
<v Speaker 12>I should say that this package does include not just

0:26:18.640 --> 0:26:22.160
<v Speaker 12>a base salary and assigning bonus, but stock options. And

0:26:22.359 --> 0:26:24.359
<v Speaker 12>there are a few things tied to that. One, someone

0:26:24.359 --> 0:26:25.880
<v Speaker 12>would have to stay with the company for a certain

0:26:25.880 --> 0:26:27.560
<v Speaker 12>period of time, so they wouldn't get all that money

0:26:27.600 --> 0:26:28.520
<v Speaker 12>if they left early.

0:26:28.840 --> 0:26:30.240
<v Speaker 2>And it also is tied.

0:26:30.000 --> 0:26:32.399
<v Speaker 12>To the performance of the stock. So it does assume

0:26:32.400 --> 0:26:34.600
<v Speaker 12>that the stock would reach certain levels, so if it doesn't,

0:26:35.600 --> 0:26:38.160
<v Speaker 12>someone wouldn't receive that quite that large of a pay

0:26:38.160 --> 0:26:39.120
<v Speaker 12>package in the end.

0:26:39.240 --> 0:26:41.960
<v Speaker 3>And that is, of course all as we see transfer

0:26:42.000 --> 0:26:45.119
<v Speaker 3>of talent going from Apple to Meta or everyone to Meta.

0:26:45.160 --> 0:26:48.720
<v Speaker 3>As Mark Zuckerberg is all in on winning the superintelligence race.

0:26:49.480 --> 0:26:52.760
<v Speaker 3>Where are we though, with the feeling around Apple right

0:26:52.800 --> 0:26:55.240
<v Speaker 3>now as to ultimately whether it's business model is really

0:26:55.320 --> 0:26:59.000
<v Speaker 3>necessary to be the generative AI developer of choice, So

0:26:59.000 --> 0:27:01.760
<v Speaker 3>whether it ultimately can be the generator of AI products

0:27:01.960 --> 0:27:03.840
<v Speaker 3>user of choice, we'd just go to it to use

0:27:03.880 --> 0:27:04.840
<v Speaker 3>other AI offronts.

0:27:05.280 --> 0:27:08.080
<v Speaker 12>So just given its overall stack performance and its market cap,

0:27:08.119 --> 0:27:11.119
<v Speaker 12>I really hesitate to call it struggling, but I think

0:27:11.200 --> 0:27:14.280
<v Speaker 12>it struggles in AI specifically have been well documented.

0:27:14.400 --> 0:27:15.840
<v Speaker 2>I think it's.

0:27:15.720 --> 0:27:19.120
<v Speaker 12>Efforts to have a new blockbuster hardware hit have been

0:27:19.119 --> 0:27:21.080
<v Speaker 12>well documented. I think we know that the Vision pro

0:27:21.200 --> 0:27:24.240
<v Speaker 12>has not been a great seller, even though reviewers and

0:27:24.359 --> 0:27:27.400
<v Speaker 12>sort of tech enthusiasts have praised it for being innovative.

0:27:29.160 --> 0:27:33.119
<v Speaker 12>And yes, the company does have a way to go,

0:27:33.320 --> 0:27:36.679
<v Speaker 12>ways to go in AI, and certainly the poaching is

0:27:36.760 --> 0:27:38.879
<v Speaker 12>yet another setback in that space.

0:27:39.119 --> 0:27:42.920
<v Speaker 3>And maybe that's why hardware focusing with Apple Senior VP

0:27:43.040 --> 0:27:46.480
<v Speaker 3>of Hardware Engineering, John Turnus's why he's being singled out

0:27:46.480 --> 0:27:49.000
<v Speaker 3>by the note coming from Lightshed analysts as to whether

0:27:49.040 --> 0:27:51.560
<v Speaker 3>he'd be the right replacement for Tim Cook Data Wollman.

0:27:51.960 --> 0:27:55.760
<v Speaker 3>Fantastic to have her on all things Google and Apple. Now,

0:27:55.880 --> 0:27:57.879
<v Speaker 3>let's return to that talent war that we were just

0:27:57.920 --> 0:28:02.000
<v Speaker 3>talking of. Gray Oxweed Hoffmann calls multimillion dollar offers for

0:28:02.080 --> 0:28:06.040
<v Speaker 3>a talent quote not crazy when such investments are expected

0:28:06.080 --> 0:28:08.520
<v Speaker 3>to generate billions for a company. Now, he weighed in

0:28:08.520 --> 0:28:10.879
<v Speaker 3>on the escalating AI talent war between Apple and Meta

0:28:11.280 --> 0:28:13.040
<v Speaker 3>their own ed Ludlow over in Sun Valley.

0:28:14.359 --> 0:28:17.400
<v Speaker 13>Well, so, essentially, one of the things that's good about

0:28:17.440 --> 0:28:20.159
<v Speaker 13>having an open marketplace of anything, including labor, is that

0:28:20.240 --> 0:28:23.160
<v Speaker 13>you essentially get multiple bidders, and that's what sets a price.

0:28:23.520 --> 0:28:25.480
<v Speaker 13>And so the fact that someone goes, I'm willing to

0:28:25.520 --> 0:28:28.440
<v Speaker 13>spend one hundred million dollars in order to get this talent.

0:28:28.440 --> 0:28:29.600
<v Speaker 6>You think that's crazy.

0:28:29.920 --> 0:28:32.600
<v Speaker 13>Why would it possibly do? That's like higher than the

0:28:32.680 --> 0:28:36.040
<v Speaker 13>vast majority of CEOs the construct, Well, if that one,

0:28:36.359 --> 0:28:40.680
<v Speaker 13>what you're judging is that one talent will potentially create

0:28:40.920 --> 0:28:43.520
<v Speaker 13>billions of dollars of value for you, whether it's in

0:28:43.680 --> 0:28:46.560
<v Speaker 13>a social network, whether it's in you know, kind of

0:28:47.200 --> 0:28:49.240
<v Speaker 13>you know, a search engine, anything else as a way

0:28:49.240 --> 0:28:52.360
<v Speaker 13>of doing it. And so if you think that, then

0:28:52.400 --> 0:28:53.600
<v Speaker 13>that's just a bold bet.

0:28:54.040 --> 0:28:56.480
<v Speaker 4>What Sam Oltman, the CEO of open ai, said was

0:28:56.520 --> 0:29:00.040
<v Speaker 4>that that particular figure which he had accused Meta of

0:29:00.040 --> 0:29:02.960
<v Speaker 4>offering to some open ai staff, what he claimed was

0:29:03.000 --> 0:29:05.840
<v Speaker 4>it was crazy. That it sounds like it's not crazy.

0:29:05.880 --> 0:29:08.600
<v Speaker 13>Really, well, I don't think it's crazy when we know

0:29:08.680 --> 0:29:11.719
<v Speaker 13>that AI is going to transform all businesses in all industry,

0:29:11.720 --> 0:29:14.920
<v Speaker 13>in the entire tech industry, and these are trillion dollar

0:29:15.000 --> 0:29:17.440
<v Speaker 13>companies et cetera at the high end and the whole

0:29:17.480 --> 0:29:19.680
<v Speaker 13>stack all the way through undown in.

0:29:19.640 --> 0:29:20.360
<v Speaker 6>A billion today.

0:29:20.400 --> 0:29:21.880
<v Speaker 4>For a brief moment, one of them was a four

0:29:21.920 --> 0:29:24.200
<v Speaker 4>trillion dolesmpany exactly, please continue.

0:29:23.960 --> 0:29:29.440
<v Speaker 13>Yes, Nvidia, and so the you know so saying hey,

0:29:29.600 --> 0:29:33.000
<v Speaker 13>this piece of talent is a risk adjusted bet. That

0:29:33.000 --> 0:29:37.320
<v Speaker 13>that makes a difference in that that's just a risk bet.

0:29:37.680 --> 0:29:40.440
<v Speaker 13>You might say it's a dumb risk bet, but it's

0:29:40.480 --> 0:29:43.479
<v Speaker 13>not done to do if those are the stakes you're

0:29:43.480 --> 0:29:43.840
<v Speaker 13>playing for.

0:29:44.640 --> 0:29:47.520
<v Speaker 3>Gray Lock partner and LinkedIn co founder Reid Hoffman with

0:29:47.680 --> 0:29:50.040
<v Speaker 3>ed Ludlow. Coming up, we speak with the CEO and

0:29:50.080 --> 0:29:53.920
<v Speaker 3>co founders Varda Space the latest series funding.

0:29:54.240 --> 0:29:56.560
<v Speaker 2>Again, we're live from some valley. Stick with us. This

0:29:56.640 --> 0:29:57.320
<v Speaker 2>is really bad time.

0:30:09.040 --> 0:30:17.440
<v Speaker 3>Welcome back to Bloomberg Tech. Now, Varda Space Industries has

0:30:17.440 --> 0:30:20.280
<v Speaker 3>announced it's raised one hundred and eighty seven million dollars

0:30:20.280 --> 0:30:23.360
<v Speaker 3>in the Series C funding, bringing its total capital raise

0:30:23.360 --> 0:30:25.160
<v Speaker 3>to three undred and twenty five million dollars. Then the

0:30:25.200 --> 0:30:29.120
<v Speaker 3>company aims to produce medicines in low Earth orbit. And

0:30:29.280 --> 0:30:33.000
<v Speaker 3>Ludlow is standing by in Sun Valley with Delian Asparov is,

0:30:33.080 --> 0:30:36.440
<v Speaker 3>co founder of Varda, and we're also joined by will Brewy,

0:30:36.760 --> 0:30:41.000
<v Speaker 3>Varda CEO. And will I start with you the money,

0:30:41.280 --> 0:30:42.280
<v Speaker 3>what will you use it for?

0:30:43.400 --> 0:30:46.560
<v Speaker 14>Oh, we have big plans. The Series C raise is

0:30:46.560 --> 0:30:49.000
<v Speaker 14>great because it allows us to open up our biologics

0:30:49.040 --> 0:30:51.680
<v Speaker 14>lab down the street, and the entire purpose of that

0:30:51.840 --> 0:30:56.240
<v Speaker 14>is to prepare biologics formulations, so medicines for flight in

0:30:56.320 --> 0:30:59.440
<v Speaker 14>outer space. And the entire purpose of this is micro

0:30:59.520 --> 0:31:03.480
<v Speaker 14>gravity allows us to create new drug formulations that otherwise

0:31:03.480 --> 0:31:05.640
<v Speaker 14>would be impossible to create on Earth. That's the whole

0:31:05.640 --> 0:31:08.680
<v Speaker 14>purpose of Varda. And so with this Series C funding

0:31:08.880 --> 0:31:11.520
<v Speaker 14>we're able to build out a large lab space to

0:31:12.040 --> 0:31:15.719
<v Speaker 14>vet those drug formulations before flying them and create an

0:31:15.800 --> 0:31:18.160
<v Speaker 14>entire pipeline on the way to space.

0:31:19.040 --> 0:31:21.000
<v Speaker 4>Delian, I just want to point something out, which is

0:31:21.040 --> 0:31:23.160
<v Speaker 4>that you were also a partner at Founder's Fund and

0:31:23.240 --> 0:31:25.440
<v Speaker 4>this has worked exactly the same way it always works.

0:31:25.560 --> 0:31:28.640
<v Speaker 4>You recuse yourself from the round and you represent VARDA,

0:31:29.080 --> 0:31:33.320
<v Speaker 4>but they participated as depeated t as an individual. Just

0:31:33.400 --> 0:31:35.120
<v Speaker 4>expand a little bit in what we were saying. You know,

0:31:35.160 --> 0:31:37.360
<v Speaker 4>one of the big changes that you guys have made

0:31:38.080 --> 0:31:41.280
<v Speaker 4>over the last yearies to start manufacturing yourself away from

0:31:41.360 --> 0:31:43.000
<v Speaker 4>Rocket Lab who used to do that as kind of

0:31:43.000 --> 0:31:45.760
<v Speaker 4>the third party for you. Why is that significant and

0:31:45.800 --> 0:31:46.880
<v Speaker 4>how does that ramp look?

0:31:47.280 --> 0:31:48.800
<v Speaker 10>Yeah, I mean they were you know, sort of phenomenal

0:31:48.840 --> 0:31:50.640
<v Speaker 10>partner and were deeply grateful you know too them and

0:31:50.680 --> 0:31:52.680
<v Speaker 10>there they got us off the ground, you know, very quickly.

0:31:52.760 --> 0:31:54.480
<v Speaker 10>But as we were looking to you know, sort of

0:31:54.480 --> 0:31:57.200
<v Speaker 10>scale up our cadence of flights and ability to truly

0:31:57.200 --> 0:31:58.880
<v Speaker 10>control our supply chain, we had.

0:31:58.720 --> 0:31:59.680
<v Speaker 6>To go more full stacking.

0:32:00.000 --> 0:32:01.920
<v Speaker 10>We see this in a variety of different aerospace companies,

0:32:01.920 --> 0:32:04.000
<v Speaker 10>where as they scale up, they tend to go more

0:32:04.000 --> 0:32:06.520
<v Speaker 10>full stack over time. So that's going only to allow

0:32:06.600 --> 0:32:08.640
<v Speaker 10>us to you know, fly four times next year, and

0:32:08.640 --> 0:32:11.680
<v Speaker 10>then after that ideally start doubling basically every single year

0:32:11.920 --> 0:32:14.480
<v Speaker 10>and be able to control that doubling entirely in house.

0:32:14.760 --> 0:32:15.800
<v Speaker 6>And then it just expands the.

0:32:15.800 --> 0:32:17.800
<v Speaker 10>Capabilities that we have on the spacecraft in terms of

0:32:17.880 --> 0:32:20.720
<v Speaker 10>you know, biopharmaceutical production. By owning more of it, we're

0:32:20.760 --> 0:32:22.600
<v Speaker 10>able to expand the capabilities of what we can have

0:32:22.680 --> 0:32:23.160
<v Speaker 10>on board.

0:32:23.480 --> 0:32:27.240
<v Speaker 4>Well, Dell's talking about all of the rampant launch getting

0:32:27.280 --> 0:32:31.200
<v Speaker 4>to orbit. The big beautiful benefit is zero gravity right

0:32:31.240 --> 0:32:35.000
<v Speaker 4>in the pharmaceuticals context. But then you've got to get

0:32:35.040 --> 0:32:37.160
<v Speaker 4>back down to Earth and that's been one of the

0:32:37.200 --> 0:32:40.240
<v Speaker 4>really exciting parts to track with Vada. The video in

0:32:40.320 --> 0:32:44.200
<v Speaker 4>particular explain how that process works and also how it's

0:32:44.240 --> 0:32:45.360
<v Speaker 4>going to go going forward.

0:32:46.440 --> 0:32:48.280
<v Speaker 14>Yeah, so you hit the nail on the head. The

0:32:48.400 --> 0:32:51.240
<v Speaker 14>entire reason for going to space is for micro gravity.

0:32:51.280 --> 0:32:53.720
<v Speaker 14>It's just a fundamental force of physics that you can't

0:32:53.840 --> 0:32:56.280
<v Speaker 14>change on Earth. You know, we don't want to go

0:32:56.320 --> 0:32:58.160
<v Speaker 14>to space to have to make these new drugs. You

0:32:58.200 --> 0:33:00.400
<v Speaker 14>just have to because of the laws of physics, and

0:33:00.480 --> 0:33:03.479
<v Speaker 14>so our spacecraft allows us to do that quickly and cheaply,

0:33:03.520 --> 0:33:05.760
<v Speaker 14>and a lot and a part of that is once

0:33:05.800 --> 0:33:09.200
<v Speaker 14>we make those drugs in orbit in microgravity so that

0:33:09.240 --> 0:33:10.880
<v Speaker 14>they're different than they would be made if they were

0:33:10.880 --> 0:33:12.720
<v Speaker 14>on Earth, we have to bring them back and that's

0:33:12.760 --> 0:33:15.760
<v Speaker 14>certainly the most exciting part for the aerospace engineers here.

0:33:16.000 --> 0:33:18.800
<v Speaker 14>You know, my background is also airspace engineering. Like you said,

0:33:18.840 --> 0:33:22.720
<v Speaker 14>the video is phenomenal. We hit the atmosphere going mock

0:33:22.800 --> 0:33:25.280
<v Speaker 14>twenty five, So that's twenty five times the speed of sound,

0:33:25.760 --> 0:33:28.560
<v Speaker 14>twenty seven times the speed that you go on a

0:33:28.560 --> 0:33:31.320
<v Speaker 14>commercial airliner, and so you rip apart the atmosphere and

0:33:31.360 --> 0:33:33.600
<v Speaker 14>you create this beautiful plasma of a shooting star for

0:33:33.680 --> 0:33:37.320
<v Speaker 14>over a minute across the sky. It's beautiful on the

0:33:37.320 --> 0:33:37.760
<v Speaker 14>way back.

0:33:38.560 --> 0:33:42.600
<v Speaker 3>The passion is real, Delian, the demand is real as well.

0:33:42.640 --> 0:33:45.760
<v Speaker 3>I'm interested in the DoD and the government perspective here

0:33:45.800 --> 0:33:48.600
<v Speaker 3>because we have seen so much more focus coming on

0:33:48.640 --> 0:33:49.959
<v Speaker 3>space and defense more broadly.

0:33:50.960 --> 0:33:54.200
<v Speaker 10>Yeah, you know, sort of new Secretary of Defense in

0:33:54.240 --> 0:33:56.480
<v Speaker 10>the early days of the Trump administration came out with

0:33:56.600 --> 0:34:00.600
<v Speaker 10>what his national security priorities were going to be a

0:34:00.680 --> 0:34:03.800
<v Speaker 10>top three where nuclear weapons modernization, the development of next

0:34:03.800 --> 0:34:07.400
<v Speaker 10>generation hypersonic capabilities, and shipbuilding and you know, while VARDA

0:34:07.400 --> 0:34:09.200
<v Speaker 10>doesn't really you know, sort of build chips, you know,

0:34:09.239 --> 0:34:11.200
<v Speaker 10>we do you help the DoD you know, sort of

0:34:11.200 --> 0:34:13.120
<v Speaker 10>with the other two and have a variety of different

0:34:13.160 --> 0:34:16.800
<v Speaker 10>you know, sort of collaborations across groups from the Air Force, Navy,

0:34:16.840 --> 0:34:20.279
<v Speaker 10>and NASA. What they're primarily interested in is as well

0:34:20.360 --> 0:34:22.960
<v Speaker 10>mentioned as we come into the atmosphere we're going mock

0:34:23.000 --> 0:34:26.000
<v Speaker 10>twenty five. It's regime that typically is very difficult to

0:34:26.040 --> 0:34:28.520
<v Speaker 10>study on the ground and really understand what the flight

0:34:28.600 --> 0:34:30.719
<v Speaker 10>dynamics will be like. And so you can think about

0:34:30.719 --> 0:34:33.560
<v Speaker 10>the value proposition for VARDA to the Defense Department as

0:34:33.560 --> 0:34:36.719
<v Speaker 10>effectively like a hypersonic wind tunnel. They can attach net

0:34:36.760 --> 0:34:40.759
<v Speaker 10>new materials, wing shapes, sensors onto the vehicle as we're

0:34:40.800 --> 0:34:44.800
<v Speaker 10>coming in as a way to validate the subsystems performance

0:34:45.080 --> 0:34:47.399
<v Speaker 10>before they go and take that and integrate that into

0:34:47.440 --> 0:34:49.360
<v Speaker 10>the ultimate you know, sort of production system. And so

0:34:49.680 --> 0:34:53.799
<v Speaker 10>by enabling faster testing, more frequent testing, cheaper testing, it

0:34:53.840 --> 0:34:57.239
<v Speaker 10>allows us to expand on our capabilities and ideally both

0:34:57.280 --> 0:34:58.799
<v Speaker 10>catch up to you and surpass some of our new

0:34:58.800 --> 0:35:01.680
<v Speaker 10>europeer adversaries like China in Russia that have demonstrated some

0:35:01.680 --> 0:35:04.200
<v Speaker 10>pretty phenomenal hypersonic boost glide capabilities.

0:35:04.800 --> 0:35:07.759
<v Speaker 3>I also think that the competition is somewhat closer to home,

0:35:07.920 --> 0:35:11.399
<v Speaker 3>or maybe it's a frenemy situation. Will you have got

0:35:11.440 --> 0:35:16.680
<v Speaker 3>such a broad experience, You've been flying the Dragon yourself

0:35:16.719 --> 0:35:19.880
<v Speaker 3>when you were working at SpaceX. You've also worked in banking,

0:35:19.920 --> 0:35:23.160
<v Speaker 3>you've founded your own venture fund in many ways, But

0:35:23.239 --> 0:35:25.799
<v Speaker 3>will I ask you now, what is your biggest headache?

0:35:26.120 --> 0:35:28.920
<v Speaker 3>Is it talent? Is it the race for talent? How

0:35:28.960 --> 0:35:29.719
<v Speaker 3>do you expand?

0:35:31.239 --> 0:35:31.399
<v Speaker 9>Well?

0:35:31.400 --> 0:35:33.960
<v Speaker 14>Believe it or not, there's not that much competition in

0:35:34.000 --> 0:35:36.880
<v Speaker 14>re entry because we're so much different than other commercial

0:35:36.880 --> 0:35:40.960
<v Speaker 14>re entry vehicles like SpaceX's Dragon or Boeing Starliner. We

0:35:41.040 --> 0:35:43.439
<v Speaker 14>are much smaller, we're off access in almost every way.

0:35:43.480 --> 0:35:46.440
<v Speaker 14>We're much smaller, we're higher cadence, we're not human rated,

0:35:47.280 --> 0:35:50.640
<v Speaker 14>and we're lower cost. So it's more of a complementary situation.

0:35:51.000 --> 0:35:53.600
<v Speaker 14>As far as headaches go, you know, a lot of

0:35:53.640 --> 0:35:56.680
<v Speaker 14>them are gone now thanks to a working spacecraft and

0:35:56.719 --> 0:36:00.520
<v Speaker 14>funding to grow. It's more about enthusiasm and exciting here.

0:36:01.840 --> 0:36:03.600
<v Speaker 14>I would say the challenge over the next couple of

0:36:03.719 --> 0:36:06.640
<v Speaker 14>years is really to scale up that cadence because as

0:36:06.680 --> 0:36:09.439
<v Speaker 14>we scale cadence. We begin to look more and more

0:36:09.600 --> 0:36:13.320
<v Speaker 14>just like a zero gravity oven. To the pharmaceutical industry,

0:36:13.440 --> 0:36:16.440
<v Speaker 14>they they quite frankly, don't care that we're going to

0:36:16.480 --> 0:36:19.600
<v Speaker 14>outer space. They only care that we can deliver new

0:36:19.760 --> 0:36:22.399
<v Speaker 14>drug formulations, and we just happen to have to do

0:36:22.440 --> 0:36:25.239
<v Speaker 14>that by going the space and back. So the more

0:36:25.320 --> 0:36:27.480
<v Speaker 14>often and the more frequent we can do that, the

0:36:27.480 --> 0:36:29.600
<v Speaker 14>more easily it is for us to integrate into the

0:36:29.600 --> 0:36:33.239
<v Speaker 14>pharmaceutical supply chain. And so that's the big challenge over

0:36:33.239 --> 0:36:36.000
<v Speaker 14>the next couple of years is increase cadence, fly more

0:36:36.040 --> 0:36:38.440
<v Speaker 14>spacecraft and fly more, develop more drugs on board.

0:36:39.360 --> 0:36:43.000
<v Speaker 4>Dellian, The misconception maybe or misunderstanding about what Will's talking

0:36:43.000 --> 0:36:48.280
<v Speaker 4>about ramping the cadence is the cost consideration flying SpaceX

0:36:48.320 --> 0:36:52.040
<v Speaker 4>on transport emissions. Actually, my understanding is it's not that

0:36:52.160 --> 0:36:54.640
<v Speaker 4>great a cost. But would you talk a bit about

0:36:54.640 --> 0:36:57.719
<v Speaker 4>the relationship and how it works hitching a ride on

0:36:58.040 --> 0:36:58.800
<v Speaker 4>Falcon nine.

0:36:59.000 --> 0:37:00.239
<v Speaker 10>Yeah, I mean to give you a send. It's like,

0:37:00.239 --> 0:37:03.080
<v Speaker 10>of our total all in mission costs that like space X,

0:37:03.120 --> 0:37:05.440
<v Speaker 10>like launch costs represent about twenty twenty five percent of

0:37:05.440 --> 0:37:05.880
<v Speaker 10>our costs.

0:37:05.920 --> 0:37:07.160
<v Speaker 6>So it's not like the.

0:37:07.120 --> 0:37:09.360
<v Speaker 10>You know, majority or anything. It's also you know, definitely

0:37:09.360 --> 0:37:10.839
<v Speaker 10>one of the larger line on it was, but there's

0:37:10.880 --> 0:37:12.880
<v Speaker 10>a lot of other things that go into operating either

0:37:13.040 --> 0:37:16.560
<v Speaker 10>of our business. Our business could not exist without the

0:37:16.640 --> 0:37:18.480
<v Speaker 10>you know sort of Falcon nine being reusable and that

0:37:18.560 --> 0:37:20.480
<v Speaker 10>you know sort of transporter program. If you think about

0:37:20.520 --> 0:37:22.440
<v Speaker 10>even you know, sort of five six years ago, your

0:37:22.520 --> 0:37:24.279
<v Speaker 10>only real option to get up to orbit was having

0:37:24.280 --> 0:37:26.600
<v Speaker 10>to buy a full dedicated rocket or find some way

0:37:26.640 --> 0:37:29.680
<v Speaker 10>to squeeze yourself onto a large geosats you know, sort

0:37:29.719 --> 0:37:31.759
<v Speaker 10>of launch and you know be on board, but you know,

0:37:31.800 --> 0:37:34.560
<v Speaker 10>find your own way to orbit. Now, these transporter missions,

0:37:34.560 --> 0:37:36.080
<v Speaker 10>they're doing them, I think on the order of three

0:37:36.080 --> 0:37:37.960
<v Speaker 10>times a year. They start to add on you know,

0:37:38.040 --> 0:37:41.320
<v Speaker 10>different inclinations in orbit. They have these bandwagon bandwagon missions

0:37:41.320 --> 0:37:43.480
<v Speaker 10>that go to you know, sort of polar orbit, and

0:37:43.520 --> 0:37:45.080
<v Speaker 10>so it's been a really you know, sort of critical

0:37:45.120 --> 0:37:47.359
<v Speaker 10>you know, sort of part of our ability to actually succeed.

0:37:47.080 --> 0:37:47.680
<v Speaker 6>As a business.

0:37:47.880 --> 0:37:49.800
<v Speaker 10>I think there's just this interesting you know of pattern

0:37:49.840 --> 0:37:53.239
<v Speaker 10>and technological history where when certain infrastructure layers get built up,

0:37:53.239 --> 0:37:55.000
<v Speaker 10>it enables these net new you know sort of business

0:37:55.040 --> 0:37:57.480
<v Speaker 10>opportunities right in some ways for a business like Uber

0:37:57.640 --> 0:37:59.759
<v Speaker 10>Airbnb to get built, you kind of needed mobile to

0:37:59.760 --> 0:38:02.399
<v Speaker 10>be very distributed and have the app store, and that's

0:38:02.400 --> 0:38:04.799
<v Speaker 10>what really enabled those business models. We think of, you know,

0:38:04.840 --> 0:38:07.080
<v Speaker 10>sort of the access to space and what SpaceX provides

0:38:07.120 --> 0:38:09.919
<v Speaker 10>us in the same way. It's a fundamental infrastructure layer

0:38:10.239 --> 0:38:12.440
<v Speaker 10>that enables our business and it wouldn't have been possible,

0:38:12.480 --> 0:38:14.680
<v Speaker 10>you know, sort of without them, and so we're thrilled

0:38:14.719 --> 0:38:16.600
<v Speaker 10>to have them, you know, you know sort of partners

0:38:16.640 --> 0:38:18.719
<v Speaker 10>and you know, have lots and lots of you know,

0:38:18.800 --> 0:38:20.680
<v Speaker 10>rockets out you know, sort of bud with the SpaceX.

0:38:20.719 --> 0:38:22.520
<v Speaker 10>I think, you know, we've booked out all the way through.

0:38:22.560 --> 0:38:24.560
<v Speaker 10>I think like Q three twenty seven or something like that.

0:38:24.840 --> 0:38:28.120
<v Speaker 4>You know, will we recognize here on Bloomberg Tech there

0:38:28.120 --> 0:38:31.160
<v Speaker 4>are many in the space industry who have looked to

0:38:31.600 --> 0:38:34.799
<v Speaker 4>the defense apparatus of this country and the defense use

0:38:34.840 --> 0:38:36.760
<v Speaker 4>case to kind of start to get off the ground

0:38:36.800 --> 0:38:40.000
<v Speaker 4>because of grants and because of the availability of freedom

0:38:40.040 --> 0:38:43.080
<v Speaker 4>to move. But long term, what is the business model?

0:38:43.400 --> 0:38:46.160
<v Speaker 4>Who will your customers be when you're able to bring

0:38:46.200 --> 0:38:50.320
<v Speaker 4>payload back down to Earth. Pharmaceuticals developed in that zero

0:38:50.320 --> 0:38:51.760
<v Speaker 4>gravity environment.

0:38:52.560 --> 0:38:55.040
<v Speaker 14>Yeah, it's it is a new technology and what's cool

0:38:55.280 --> 0:38:57.600
<v Speaker 14>going to the defense aspect and Deli and hinted towards us,

0:38:57.640 --> 0:39:02.360
<v Speaker 14>is that because reusable andmercial launch is a unique American asset,

0:39:03.000 --> 0:39:06.480
<v Speaker 14>VARDA is also a unique American asset on top of that,

0:39:06.560 --> 0:39:09.279
<v Speaker 14>so it's almost a leap frog above everyone else. And

0:39:09.360 --> 0:39:13.320
<v Speaker 14>so we have this cool armada of small, low cost,

0:39:13.560 --> 0:39:16.880
<v Speaker 14>high cadence re entry vehicles that can provide a service

0:39:17.000 --> 0:39:20.919
<v Speaker 14>continuously for the Department of Defense as a hypersonic wind

0:39:20.920 --> 0:39:23.160
<v Speaker 14>tunnel like Dally mentioned. So to answer your question, what

0:39:23.200 --> 0:39:26.280
<v Speaker 14>that means is now the Department of Defense can test

0:39:26.360 --> 0:39:31.000
<v Speaker 14>things like sensors, new materials for heat shields, they can

0:39:31.040 --> 0:39:36.080
<v Speaker 14>test flight computers and RF or radio frequency systems navigation systems.

0:39:36.560 --> 0:39:39.120
<v Speaker 14>So very similar to like a wind tunnel where it's

0:39:39.200 --> 0:39:43.359
<v Speaker 14>acting as infrastructure so that the Department of Defense can

0:39:43.360 --> 0:39:45.840
<v Speaker 14>advance new technologies faster and cheaper.

0:39:46.719 --> 0:39:47.880
<v Speaker 2>Fascinating conversation.

0:39:48.280 --> 0:39:51.160
<v Speaker 3>Thank you for all joining us, Will Brewy, Delian, Asmare

0:39:51.520 --> 0:39:54.160
<v Speaker 3>Evada and of course Ed stick.

0:39:53.960 --> 0:39:55.759
<v Speaker 2>With us out there in some valley. We thank you.

0:39:55.800 --> 0:39:57.839
<v Speaker 3>Now, coming up, we're going to hear from s Pat

0:39:57.880 --> 0:40:01.480
<v Speaker 3>Yukaro Bain Capital and his outlook the AI sector. This

0:40:01.680 --> 0:40:18.160
<v Speaker 3>is Bloomberg Tech let's head back to some value, where

0:40:18.200 --> 0:40:20.680
<v Speaker 3>the future of AI is one of the hot topics

0:40:20.760 --> 0:40:23.759
<v Speaker 3>among tech leaders. Steve Baruca of main Capital sat down

0:40:23.800 --> 0:40:26.640
<v Speaker 3>with Ed Ludlow to discuss well why the AI revolution

0:40:26.760 --> 0:40:28.759
<v Speaker 3>reminds him of the early days of the Internet and

0:40:28.840 --> 0:40:32.440
<v Speaker 3>actually talk about the potential for AI to transform productivity.

0:40:33.640 --> 0:40:35.279
<v Speaker 15>It reminds me a lot of the end of the

0:40:35.280 --> 0:40:38.280
<v Speaker 15>period of kind of ninety eight, ninety nine, two thousand

0:40:38.280 --> 0:40:39.120
<v Speaker 15>and two thousand.

0:40:38.800 --> 0:40:42.600
<v Speaker 6>And one in the Internet. That's worrying. Well, no, no, no, no.

0:40:43.360 --> 0:40:44.800
<v Speaker 15>There were some fits and starts, and there'll be some

0:40:44.840 --> 0:40:48.160
<v Speaker 15>fits and starts in AI, but I think we're past

0:40:48.200 --> 0:40:51.120
<v Speaker 15>the almost past the fits and start stage. You've got

0:40:51.440 --> 0:40:55.960
<v Speaker 15>kind of nine global foundation model companies the Internet out there,

0:40:56.320 --> 0:41:00.600
<v Speaker 15>perplexity of open AI. We actually funded a startup from

0:41:00.719 --> 0:41:04.480
<v Speaker 15>MIT that has modeled the new AI system on a

0:41:04.560 --> 0:41:05.080
<v Speaker 15>worm's brain.

0:41:05.200 --> 0:41:05.719
<v Speaker 6>Believe it or not?

0:41:06.120 --> 0:41:07.480
<v Speaker 15>Do you know do you know how many neurons and

0:41:07.719 --> 0:41:08.560
<v Speaker 15>worms brain hasn't it?

0:41:08.760 --> 0:41:09.200
<v Speaker 6>Educate me?

0:41:09.440 --> 0:41:10.239
<v Speaker 15>Three hundred and five?

0:41:10.480 --> 0:41:10.719
<v Speaker 4>Okay?

0:41:10.880 --> 0:41:12.439
<v Speaker 15>How many? How many neurons do you think a human

0:41:12.480 --> 0:41:13.480
<v Speaker 15>brain hasn't many?

0:41:13.520 --> 0:41:13.960
<v Speaker 6>Many more?

0:41:14.360 --> 0:41:15.120
<v Speaker 15>Eighty six billion?

0:41:15.200 --> 0:41:16.879
<v Speaker 6>Right? And you're smarter than most. Maybe you have eighty

0:41:16.880 --> 0:41:17.680
<v Speaker 6>seven billions kind of you.

0:41:18.320 --> 0:41:22.120
<v Speaker 15>But they they these wonderful scientists that a MIT came

0:41:22.200 --> 0:41:25.600
<v Speaker 15>up with this model called the neural network model. Of

0:41:25.680 --> 0:41:27.600
<v Speaker 15>those nine companies, they're one of those nine companies out

0:41:27.600 --> 0:41:30.200
<v Speaker 15>there that are state of the art. They actually because

0:41:30.200 --> 0:41:33.919
<v Speaker 15>they they've used the neural network model. They use eighty

0:41:33.960 --> 0:41:38.520
<v Speaker 15>percent less GPUs to build the model, and therefore they'll

0:41:38.520 --> 0:41:40.799
<v Speaker 15>be perfect for edge devices like phones, because you don't

0:41:40.840 --> 0:41:43.959
<v Speaker 15>need the power and so a chet GPT model costs

0:41:44.000 --> 0:41:46.800
<v Speaker 15>about five hundred million dollars of GPU to load it.

0:41:47.239 --> 0:41:49.200
<v Speaker 15>You can do that for eighty five or ninety percent less,

0:41:49.440 --> 0:41:51.160
<v Speaker 15>and this model can sell on phones. And they're they're

0:41:51.239 --> 0:41:53.960
<v Speaker 15>just they're they're signing deals with edge device companies, you

0:41:54.000 --> 0:41:56.080
<v Speaker 15>know as we speak. So it's very exciting, and all

0:41:56.160 --> 0:41:58.759
<v Speaker 15>the costs are going down for the chips, for the

0:41:59.160 --> 0:42:01.680
<v Speaker 15>for the for the model loading. And as opposed to

0:42:01.760 --> 0:42:04.440
<v Speaker 15>the Internet, which there were some very few big winners,

0:42:05.040 --> 0:42:06.440
<v Speaker 15>I think there will be a lot of winners here

0:42:06.480 --> 0:42:09.840
<v Speaker 15>because there's going to be vertical models and foundational models,

0:42:10.040 --> 0:42:12.760
<v Speaker 15>and the vertical models will have the chuck full of expertise.

0:42:13.080 --> 0:42:16.520
<v Speaker 15>First example, a medical diagnosis model that focuses on disease

0:42:16.560 --> 0:42:19.319
<v Speaker 15>states and giving you a diagnosis. And some of these

0:42:19.360 --> 0:42:21.719
<v Speaker 15>models are proving much better than humans because it's a

0:42:21.800 --> 0:42:24.160
<v Speaker 15>game of elimination. Once you put the right data in,

0:42:24.520 --> 0:42:27.799
<v Speaker 15>it gives you the diagnosis. The same thing reading x rays. Right,

0:42:28.160 --> 0:42:30.760
<v Speaker 15>the models AI models reading x rays are now beating

0:42:30.840 --> 0:42:34.080
<v Speaker 15>the top humans in the field. So really it's really

0:42:34.239 --> 0:42:37.480
<v Speaker 15>we're only still in the early stages. It's going to

0:42:38.360 --> 0:42:40.600
<v Speaker 15>revolutionize productivity. It's going to have the same impact that

0:42:40.600 --> 0:42:44.120
<v Speaker 15>the Internet had twenty years ago, and it's going to

0:42:44.160 --> 0:42:45.879
<v Speaker 15>be a twenty year run. And that's why Navidia's values

0:42:45.960 --> 0:42:48.520
<v Speaker 15>so high, because they're in the cat bird seed of

0:42:48.600 --> 0:42:50.240
<v Speaker 15>the chips needed to power that revolution.

0:42:50.920 --> 0:42:54.680
<v Speaker 3>Steve Padiuca a baying capital and the Boston Celtics. Now

0:42:54.800 --> 0:42:57.640
<v Speaker 3>that does it for this edition of Bloomberg Tech. Next week,

0:42:57.960 --> 0:43:01.920
<v Speaker 3>bloombag Tech will be live from Panasics new EV battery

0:43:01.960 --> 0:43:04.880
<v Speaker 3>plant in Kansas. Tune in for an exclusive interview with

0:43:04.920 --> 0:43:07.400
<v Speaker 3>the Panasonic North America CEO on Monday.

0:43:08.000 --> 0:43:10.120
<v Speaker 2>And meanwhile, len't forget to check out our podcast.

0:43:10.440 --> 0:43:12.240
<v Speaker 3>We'll find an on the terminal as well as online

0:43:12.239 --> 0:43:15.840
<v Speaker 3>on Apple, Spotify, and iHeart from the Sun Valley, Idaho,

0:43:16.120 --> 0:43:16.759
<v Speaker 3>or from New York.

0:43:17.280 --> 0:43:18.239
<v Speaker 2>This is Bloomberg Tech