WEBVTT - Anthropic Unveils Updated Opus 4.7 Model 

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

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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 Low in San Francisco.

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<v Speaker 2>This is Bloomberg Tech Coming Up. Anthropic introduces an updated

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<v Speaker 2>version of its widely available AI model Opus four point seven,

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<v Speaker 2>just a week after its limited release of Mythos fus.

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<v Speaker 3>Eli Muscus, kicking his terrifab plan off into high gear

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<v Speaker 3>even if skepticism grows from the semiconductor industry.

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<v Speaker 2>And TSMC reports a big surge in profit and raises

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<v Speaker 2>its revenue outlook for twenty twenty six, driven by strong

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<v Speaker 2>demand for AI chips.

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<v Speaker 3>There is so much AI news out today, but there's

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<v Speaker 3>still the geopolitical global context that investors are currently trying

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<v Speaker 3>to navigate, and it's a tough one. Stocks as we

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<v Speaker 3>speak at new record highs there we are come closer.

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<v Speaker 3>We're up almost two tens percent and as that one

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<v Speaker 3>hundred and therefore up for a twelfth straight day, the

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<v Speaker 3>longest winning streak since twenty seventeen. But longer term peace

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<v Speaker 3>process is needed. In the Middle East. All remains elevated

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<v Speaker 3>concerns about the Hormons straight, of course, but at the moment,

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<v Speaker 3>tech has been leading the charge, and it continues to

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<v Speaker 3>as we see it on the day higher and then

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<v Speaker 3>it's looking at it on the twelve days higher, we're

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<v Speaker 3>now seeing that extraordinary run fourteen percent higher. Ed more broadly,

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<v Speaker 3>but we've got to really talking as well about Anthropic introducing

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<v Speaker 3>an updated version of its widely available AI model Opus,

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<v Speaker 3>of course, barely a week after its limited release of

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<v Speaker 3>a more advanced offering called Mythos. Now, Bluemberg's Rachel Metz

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<v Speaker 3>joins us for a little bit more, and we want

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<v Speaker 3>to get into a broader market context in a minute.

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<v Speaker 3>But Rachel, for now, there hasn't been much market reaction

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<v Speaker 3>to Opus. But what are you seeing at this current

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<v Speaker 3>moment of really how it's improved four point seven versus

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<v Speaker 3>four point six?

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<v Speaker 4>Sure, I mean it sounds like it's improved at a

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<v Speaker 4>broad range of keep abilities, at least that's what the

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<v Speaker 4>Anthropic has said so far, Particularly at coding and taking

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<v Speaker 4>complicated tasks that people might in the past cut up

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<v Speaker 4>into a few pieces. You might be able to give

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<v Speaker 4>it an entire more complicated task, especially as pertains to

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<v Speaker 4>software engineering. It also sounds like it is better at

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<v Speaker 4>computer vision, which is the task where a computer is

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<v Speaker 4>trying to figure out what is in a picture. It

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<v Speaker 4>can take on much higher resolution images, they say, and

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<v Speaker 4>it can also better extract information from these images, which

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<v Speaker 4>could lead to a whole range of different kinds of applications,

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<v Speaker 4>like analyzing different kinds of data or complicated data, that

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<v Speaker 4>sort of thing.

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<v Speaker 2>I think the point that in Forbig would make is

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<v Speaker 2>that out in the real world everything is not plain text,

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<v Speaker 2>so that vision component was really important. Generally speaking, they

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<v Speaker 2>are at pains to make distinctions between Opus four point

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<v Speaker 2>seven being an updated, improved, existing model from four point

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<v Speaker 2>six and how it's different from Mythos, right. I think

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<v Speaker 2>they even talk about in the blog about how they

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<v Speaker 2>experimented with ways to quote differentially reduced four point seven's

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<v Speaker 2>cyber capabilities. Could you just explain a little bit about

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<v Speaker 2>the relationship between four point seven and Mythos that we've

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<v Speaker 2>all been talking about for like a week now.

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<v Speaker 5>Sure.

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<v Speaker 4>So, Mythos is a model that the company has said

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<v Speaker 4>is so powerful that it doesn't want to generally release it,

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<v Speaker 4>and it is handing it over to a number of

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<v Speaker 4>companies who it wants to be like using it in

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<v Speaker 4>the earlier stages. This is a model that's meant especially

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<v Speaker 4>for spotting cybersecurity vulnerability so that people can then patch them.

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<v Speaker 4>But of course it could also be used for the opposite,

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<v Speaker 4>since if it is as good as they say it

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<v Speaker 4>is at finding those vulnerabilities, So this model is not

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<v Speaker 4>going to do all of those things. It is purposely

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<v Speaker 4>not doing all of those things. For that reason, some

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<v Speaker 4>people not be happy with it, but the company says

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<v Speaker 4>that it is also better at a wide range of

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<v Speaker 4>things than its previous Opus model. So we'll see how

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<v Speaker 4>it is used. For a lot of people. It will

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<v Speaker 4>probably be considered an improvement step up from the past one.

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<v Speaker 3>Maybe not the step change that everyone feels that mythos

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<v Speaker 3>is Rachel, but just give us the context. This is

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<v Speaker 3>a company that we understand. According to Bloomberg reporting, it's

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<v Speaker 3>pushing back on an extraordinary valuation yet more funding because

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<v Speaker 3>the venture community wants to get in on it so much,

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<v Speaker 3>and we are seeing this global roll out a little

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<v Speaker 3>bit more. Aphobic's just so hot right now. It's four

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<v Speaker 3>point seven going to be enough to maintain that momentum.

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<v Speaker 4>Oh, that's a good question. I guess We're going to

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<v Speaker 4>see how people are using it. I mean, I think

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<v Speaker 4>the company is really on a tier right now due

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<v Speaker 4>to a different bunch of different factors. And some of

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<v Speaker 4>that is its technology and the capabilities of that technology.

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<v Speaker 4>Some of it I think is vibes right, but we'll see.

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<v Speaker 4>I mean this is like as we no in AI,

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<v Speaker 4>as in any other market, there isn't usually like one winner,

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<v Speaker 4>So I think that it's still anybody's game, and there

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<v Speaker 4>will probably be a bunch of winners in the end.

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<v Speaker 2>We're showing this chart, which is on the Bloomberg terminal.

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<v Speaker 2>It's data that I think we keep our on. It's

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<v Speaker 2>actually coming from Ramp shows open Ai ahead in terms

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<v Speaker 2>of adoption.

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<v Speaker 5>It's a sort of data set.

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<v Speaker 2>But we remember that in the context of opu's four

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<v Speaker 2>point seven caro and with Methos, the story of Anthropic

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<v Speaker 2>from day one was enterprise. That is a more recent

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<v Speaker 2>pivot for open Ai. Bloomberg's Rachel Metz, you have done

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<v Speaker 2>terrific reporting on the inner workings of Anthropic, what's going

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<v Speaker 2>on with these models.

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<v Speaker 5>Really appreciate it.

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<v Speaker 2>Another big story from Bloomberg, Elon Musk is racing ahead

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<v Speaker 2>with his chip making terra fab project. Sources say that

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<v Speaker 2>billionaires the tenants have already reached out to industry supplies,

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<v Speaker 2>including Tokyo Electron, Applied Materials and LAMB, and they're seeking

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<v Speaker 2>price quotes delivery times for an array of chip making gear.

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<v Speaker 2>Let's get out to Bloomberg's Global Tech editor Peter Elstrom.

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<v Speaker 2>This was a big team effort around the world to

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<v Speaker 2>try and work out how real is this with terror

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<v Speaker 2>Fab and we got a lot of detail Peter on

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<v Speaker 2>where they're at and the pressure that Elon Inc. Is

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<v Speaker 2>putting on the supply chain to get moving, give it

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<v Speaker 2>what it wants. What do we need to know?

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<v Speaker 5>Yeah, just to set the stage here.

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<v Speaker 6>When Elon Must first laid out this vision of a

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<v Speaker 6>terrafab a few weeks ago, nobody really knew what to

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<v Speaker 6>make of it. He was talking about this getting into

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<v Speaker 6>chip manufacturing for the very first time, something he's never

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<v Speaker 6>done before. It's a very competitive market, a very difficult market.

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<v Speaker 6>He was talking about building the equivalent of hundreds of

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<v Speaker 6>new fabs that he was going to roll out, and

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<v Speaker 6>he was going to invest. One analyst estimated that it

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<v Speaker 6>would cost something like five trillion to thirteen trillion dollars

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<v Speaker 6>to be able to do what he was actually talking

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<v Speaker 6>about so nobody knew how seriously.

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<v Speaker 5>To take him.

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<v Speaker 6>There were a couple of analysts who who put it

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<v Speaker 6>from the beginning and said, he's not really going to

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<v Speaker 6>go ahead and manufacture chips or even try to manufacture chips.

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<v Speaker 6>He's just trying to get the existing companies to move

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<v Speaker 6>ahead more quickly. But I want to turn the tables

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<v Speaker 6>around a little bit here, Ed, because you were part

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<v Speaker 6>of the people on the byline in this story. It

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<v Speaker 6>sounds like now we need to take them a little

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<v Speaker 6>bit more seriously. What do you make of this? How

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<v Speaker 6>seriously do you think we should take this effort now?

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<v Speaker 2>Well, what I would say is the two data points

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<v Speaker 2>that we had in the story. Three thousand wafers per

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<v Speaker 2>month initially is nothing in the context of current capacity

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<v Speaker 2>for lead edge fab and then what we understand from

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<v Speaker 2>sources carrot, by the way, twenty twenty nine is when

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<v Speaker 2>they start. You know, I don't know how far ahead

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<v Speaker 2>you're looking at your calendar, but I don't even know

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<v Speaker 2>what's happening next week. Twenty twenty nine is quite far away.

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<v Speaker 3>It is. And look, we had Berenberg analyst on yesterday

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<v Speaker 3>who I love that you quoted and for the video

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<v Speaker 3>in the story of really saying like they're not factoring

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<v Speaker 3>in these numbers yet. It's get it two three years

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<v Speaker 3>really for them to understand when ASML gets involved in

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<v Speaker 3>giving the equipment that's going to be necessary to make

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<v Speaker 3>the chips. More broadly, Peter, but just talk about the

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<v Speaker 3>reticence that the rest of the industry has towards this.

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<v Speaker 3>I think one line that really caught my attention at

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<v Speaker 3>court Ed's I know was the SAMSI like, no, thanks,

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<v Speaker 3>we don't particularly want to help in this in the

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<v Speaker 3>way that perhaps you'd like us to.

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<v Speaker 6>Yeah, it's important to say that the leader in this

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<v Speaker 6>market right now, the foundry business is TSMC. They're far

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<v Speaker 6>ahead of everybody. We've just got their earnings today. We

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<v Speaker 6>can talk about those a bit too. But Intel and

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<v Speaker 6>Samsung are both trying to get into this foundry business

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<v Speaker 6>because it has been so good for TSMC. They know

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<v Speaker 6>that that business is growing. So if you have somebody

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<v Speaker 6>like Samsung that's already expert in building these kinds of chips,

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<v Speaker 6>they're going to be kind of reluctant to trade some

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<v Speaker 6>of that expertise to somebody like Elon Musk who has

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<v Speaker 6>totally no track record in this area whatsoever. The same

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<v Speaker 6>applies to the chip equipment maker, so Tokyo Electron Applied

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<v Speaker 6>Materials ASML. They need to decide who are we going

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<v Speaker 6>to sell our equipment to. We're in this market right

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<v Speaker 6>now where there's actually a limit to the amount that

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<v Speaker 6>they can provide, and they're limited more by supply than

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<v Speaker 6>actually demand at this point. So are they going to

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<v Speaker 6>sell it to Elon Musk who's never done this before

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<v Speaker 6>for the terror FIB project, or they're going to sell

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<v Speaker 6>it to TSMC and Samsung and Intel who are pretty experienced.

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<v Speaker 1>Yea.

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<v Speaker 2>And when we broke the story in Asia, those names

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<v Speaker 2>that you mentioned jumped pretty significantly in pre market. Some

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<v Speaker 2>of the US suppliers also did. Then fell away on

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<v Speaker 2>Samsung they basically counted his my understanding saying we're going

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<v Speaker 2>to ramp up in Texas. But the story in the market,

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<v Speaker 2>it's one of he is TSMC. Right on the call TSMCEO,

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<v Speaker 2>it was like, this is the reality of building a fab.

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<v Speaker 2>Three years to build it, two years to ramp it.

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<v Speaker 2>But things for TSMC in particular are going well, Peter.

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<v Speaker 2>The data tells us what you said. They are the

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<v Speaker 2>leader and demand is accelerating.

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<v Speaker 6>Yeah, it was interesting to see cc way that CEO

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<v Speaker 6>al was asked about terror fab and he said, there

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<v Speaker 6>are no shortcuts. You can't do this faster than what

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<v Speaker 6>the leaders in the industry have been able to.

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<v Speaker 5>Do so far.

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<v Speaker 6>But what TSMC's financial results show us is demand is

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<v Speaker 6>very very strong. Their profit was up fifty eight percent,

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<v Speaker 6>that was well above analyst estimates. They said they boosted

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<v Speaker 6>the revenue growth forecast for the full year to more

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<v Speaker 6>than thirty percent growth before they had had it below

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<v Speaker 6>thirty percent. They also said that they're going to ramp

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<v Speaker 6>up their capital spending. They're going to be at the

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<v Speaker 6>top end of this range where they approach fifty six

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<v Speaker 6>billion dollars, so they're moving very very quickly. They say

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<v Speaker 6>the demand for AI is very very strong at this point.

0:10:11.600 --> 0:10:13.520
<v Speaker 6>There were a couple of notes of caution in there.

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<v Speaker 6>Of course, the Iran war. Nobody knows exactly what that's

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<v Speaker 6>going to do to the global economy to trade. There's

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<v Speaker 6>another issue that's kind of critical for the tech industry

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<v Speaker 6>right now that we've talked about a couple of times,

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<v Speaker 6>the crunch and memory chips, memory ships of course going

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<v Speaker 6>to all sorts of things because the AI hyperscalers are

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<v Speaker 6>building out so quickly right now, they're taking up a

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<v Speaker 6>bunch of that capacity. That's limited the ability of smartphonemakers

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<v Speaker 6>to be able to get supplied. That could taper off

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<v Speaker 6>some of the demand in the future.

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<v Speaker 3>Most ptails from who's been a busy man, editing the

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<v Speaker 3>great story from Ed and the rest of the team,

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<v Speaker 3>and keeping an eye on all things Asia. Let's keep

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<v Speaker 3>an eye on all things broader markets, global investors that

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<v Speaker 3>continuing to navigate precarious environment. We keep talking about it,

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<v Speaker 3>but US stocks have recovered to new record highs has

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<v Speaker 3>been led by the technology sector in the studio with

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<v Speaker 3>us now. Scott Ladner is chief investment officer at Horizon.

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<v Speaker 3>So do you buy in to check Chips even more

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<v Speaker 3>in AMD than Intel A leading on the points perspective,

0:11:05.880 --> 0:11:08.120
<v Speaker 3>on the dage you continue on the hardware AI theme.

0:11:08.520 --> 0:11:10.240
<v Speaker 7>Absolutely, I mean, I think it's really the thing that's

0:11:10.320 --> 0:11:12.320
<v Speaker 7>that's it was driving the market as we came into

0:11:12.360 --> 0:11:13.720
<v Speaker 7>this conflict, and it's going to drive the market as

0:11:13.720 --> 0:11:15.319
<v Speaker 7>we come out of this conflict. And I think the

0:11:15.360 --> 0:11:17.600
<v Speaker 7>reason why we are seeing markets at all time highs

0:11:17.840 --> 0:11:19.320
<v Speaker 7>is because you know, the markets side of this thing

0:11:19.400 --> 0:11:21.600
<v Speaker 7>is going to be short. Were resuring in weeks not months, uh,

0:11:21.720 --> 0:11:23.760
<v Speaker 7>and the tailwinds we had coming into it are just

0:11:23.760 --> 0:11:25.800
<v Speaker 7>going to continue to kind of wash over the markets.

0:11:25.800 --> 0:11:27.240
<v Speaker 5>And that's that's why we said where we are right.

0:11:27.120 --> 0:11:30.160
<v Speaker 2>Now Scott's could be with you in person. I enjoyed

0:11:30.200 --> 0:11:32.760
<v Speaker 2>our conversations of late. So if you look at the

0:11:32.800 --> 0:11:34.880
<v Speaker 2>NATS like one hundred, just as there's the case study

0:11:34.880 --> 0:11:37.360
<v Speaker 2>it's up for a twelve straight day in spite of

0:11:37.400 --> 0:11:38.160
<v Speaker 2>the war in Iran.

0:11:38.600 --> 0:11:39.360
<v Speaker 5>So what is it.

0:11:39.400 --> 0:11:42.800
<v Speaker 2>What's the data point or the thesis that's driving the

0:11:42.840 --> 0:11:45.559
<v Speaker 2>technology sector hire if people are willing to look past

0:11:45.800 --> 0:11:49.120
<v Speaker 2>a major conflict and a huge impact in energy markets.

0:11:49.240 --> 0:11:50.319
<v Speaker 7>I mean, I think it's a couple of things that

0:11:50.480 --> 0:11:52.480
<v Speaker 7>it's It's one, you know, the fact that this is

0:11:52.720 --> 0:11:54.760
<v Speaker 7>sort of the next big thing, And when people talk

0:11:54.760 --> 0:11:56.679
<v Speaker 7>about this as being like the next Internet, I think

0:11:56.679 --> 0:11:58.600
<v Speaker 7>that's wrong. I mean, I think we're talking about this

0:11:58.600 --> 0:12:00.640
<v Speaker 7>in terms of like in terms of scale and importance.

0:12:00.800 --> 0:12:02.400
<v Speaker 5>We're talking about like the electrification of the.

0:12:02.400 --> 0:12:05.320
<v Speaker 7>Country, like you know, the widespread availability like electricity al

0:12:05.360 --> 0:12:07.160
<v Speaker 7>it's that scale of a productivity enhancement that I think

0:12:07.160 --> 0:12:09.360
<v Speaker 7>we're talking about with AI. So so I just think

0:12:09.360 --> 0:12:12.200
<v Speaker 7>people are actually still under sort of appreciating how important

0:12:12.200 --> 0:12:13.720
<v Speaker 7>this thing's going to be. And then as well as

0:12:13.720 --> 0:12:15.240
<v Speaker 7>the market kind of looks forward and kind of sort

0:12:15.320 --> 0:12:17.400
<v Speaker 7>sort of figure out a price AI, like like you know,

0:12:17.400 --> 0:12:18.600
<v Speaker 7>how do you how do you price the AI ins

0:12:18.640 --> 0:12:19.679
<v Speaker 7>of a company? I think that's the thing that we're

0:12:19.679 --> 0:12:21.280
<v Speaker 7>going to figure out next. It's gonna be through the

0:12:21.280 --> 0:12:23.640
<v Speaker 7>margin channel, you know, like you know, ultimately like productivity,

0:12:23.679 --> 0:12:25.280
<v Speaker 7>you know, it should should increase margins And that's and

0:12:25.280 --> 0:12:26.760
<v Speaker 7>that is that is going to be where the rubber is.

0:12:26.760 --> 0:12:30.280
<v Speaker 2>There's no point in exaggerating or hyperbole, but the NASAQ

0:12:30.360 --> 0:12:32.600
<v Speaker 2>one hundred is up for twelve days. It hasn't done

0:12:32.600 --> 0:12:35.960
<v Speaker 2>that since twenty seventeen. So just something clearly is happening underneath.

0:12:36.400 --> 0:12:40.920
<v Speaker 2>Now we have earning season. How much could that derail that?

0:12:41.280 --> 0:12:43.240
<v Speaker 7>Well, I mean, look, it could derail it, or it

0:12:43.240 --> 0:12:45.880
<v Speaker 7>could sort of verify like why we are up for

0:12:45.880 --> 0:12:48.079
<v Speaker 7>twelve day straight. You know, we're not up. We're not

0:12:48.200 --> 0:12:49.880
<v Speaker 7>up twelve day straight in a vacuum though. I mean

0:12:49.880 --> 0:12:51.800
<v Speaker 7>we're up twelve days straight coming off of some pretty

0:12:51.840 --> 0:12:54.000
<v Speaker 7>nasty declines, like as a result of the war point,

0:12:54.520 --> 0:12:56.040
<v Speaker 7>so you know that you know the context for that

0:12:56.080 --> 0:12:58.560
<v Speaker 7>for that stuff matters. But you know, we actually think

0:12:58.600 --> 0:13:01.160
<v Speaker 7>that the bar is is beautable for these tech companies.

0:13:01.360 --> 0:13:02.240
<v Speaker 5>As as we come into this.

0:13:02.280 --> 0:13:04.640
<v Speaker 7>Earning season, I mean, I think people are trying to

0:13:04.760 --> 0:13:07.319
<v Speaker 7>understand like what is the next leg, Like what what's

0:13:07.320 --> 0:13:09.760
<v Speaker 7>the next stage? And I do think like as folks

0:13:09.880 --> 0:13:11.920
<v Speaker 7>start to figure out like the margin channel is really

0:13:11.920 --> 0:13:14.079
<v Speaker 7>a thing that matters, that's going to make AI AAI

0:13:14.160 --> 0:13:15.480
<v Speaker 7>even more important.

0:13:15.360 --> 0:13:16.560
<v Speaker 5>To the business processes.

0:13:16.559 --> 0:13:18.000
<v Speaker 7>And I think it's going to just like drive and

0:13:18.440 --> 0:13:20.800
<v Speaker 7>just drive attention into the sector even higher.

0:13:20.840 --> 0:13:23.360
<v Speaker 3>And I hate to say it, but margin often equates

0:13:23.400 --> 0:13:27.680
<v Speaker 3>to fewer people. What's interesting is we're looking at Opus

0:13:27.679 --> 0:13:30.400
<v Speaker 3>four point seven just getting announced in it it says

0:13:30.440 --> 0:13:33.560
<v Speaker 3>as well, instead of the art score and finance agent evaluation,

0:13:33.840 --> 0:13:36.000
<v Speaker 3>our internal testing showed Opus four point seven to be

0:13:36.000 --> 0:13:39.960
<v Speaker 3>more effective finance analyst than Opus four point six. Now,

0:13:40.720 --> 0:13:42.840
<v Speaker 3>how does that mean you feel about your role, about

0:13:42.880 --> 0:13:44.719
<v Speaker 3>the people that you're hiring, and more broadly, where you

0:13:44.760 --> 0:13:46.600
<v Speaker 3>want to invest in how it's going to help finance.

0:13:47.160 --> 0:13:50.240
<v Speaker 7>I mean, frankly, it makes me kind of excited because

0:13:50.440 --> 0:13:52.760
<v Speaker 7>the thing that we've seen out of AI, and so

0:13:52.880 --> 0:13:54.720
<v Speaker 7>you know, we have some young people are at our company,

0:13:55.160 --> 0:13:57.720
<v Speaker 7>and the thing that has been the most impressive to

0:13:57.760 --> 0:14:00.240
<v Speaker 7>me is how quickly they are adopting sort of figuring

0:14:00.240 --> 0:14:01.679
<v Speaker 7>out and getting up the learning curve. Frankly, I mean

0:14:01.720 --> 0:14:03.120
<v Speaker 7>it's it's really tough for a twenty three year old

0:14:03.160 --> 0:14:04.920
<v Speaker 7>to be very useful in this industry because it just

0:14:05.280 --> 0:14:06.200
<v Speaker 7>you haven't seen very much.

0:14:06.440 --> 0:14:08.479
<v Speaker 5>And they're using these tools to become.

0:14:08.480 --> 0:14:10.400
<v Speaker 7>Much smarter, much faster, to be able to try more

0:14:10.440 --> 0:14:12.319
<v Speaker 7>things and do a lot more of experimentation. And that's

0:14:12.360 --> 0:14:14.000
<v Speaker 7>how you actually build knowledge and get to be a

0:14:14.040 --> 0:14:17.120
<v Speaker 7>real good finance pro. And so I'm actually I'm actually

0:14:17.160 --> 0:14:19.440
<v Speaker 7>kind of buffeted by by by by the use cases

0:14:19.440 --> 0:14:20.800
<v Speaker 7>of this stuff. And it's not going to change the

0:14:20.800 --> 0:14:22.080
<v Speaker 7>way we hired. It's going to change the type of

0:14:22.080 --> 0:14:24.400
<v Speaker 7>people that we hired and how we train them. But

0:14:24.560 --> 0:14:26.160
<v Speaker 7>in terms of you still need bodies to figure some

0:14:26.160 --> 0:14:26.800
<v Speaker 7>of this stuff out.

0:14:27.000 --> 0:14:29.400
<v Speaker 3>Scott briefly, should we buy software at this point?

0:14:31.440 --> 0:14:31.680
<v Speaker 5>Yeah?

0:14:31.800 --> 0:14:35.280
<v Speaker 7>Probably, but you have to be differentiated. I think I

0:14:35.320 --> 0:14:36.640
<v Speaker 7>don't think you want to buy the ETF. You probly

0:14:36.680 --> 0:14:37.720
<v Speaker 7>want to buy individual stocks.

0:14:38.480 --> 0:14:39.200
<v Speaker 5>I was scrambling.

0:14:39.200 --> 0:14:41.320
<v Speaker 2>I've got the I've got the benchmarks here on Opus

0:14:41.360 --> 0:14:42.840
<v Speaker 2>four point seven, and I was waiting to see if

0:14:42.840 --> 0:14:45.720
<v Speaker 2>Scott said he was worried about his job. Scott aland

0:14:45.760 --> 0:14:48.040
<v Speaker 2>a chief investment officer at Horizon always great value on

0:14:48.080 --> 0:14:51.080
<v Speaker 2>Bloomberg Tech, Thank you very much. A federal jury has

0:14:51.160 --> 0:14:55.600
<v Speaker 2>ruled that Live Nation illegally monopolized the live events industry

0:14:55.920 --> 0:14:59.240
<v Speaker 2>and overcharge fans for tickets to music performances. The landmark

0:14:59.320 --> 0:15:03.040
<v Speaker 2>antitrust trial follows years of regulatory scrutiny of Live nations

0:15:03.040 --> 0:15:05.840
<v Speaker 2>dominance in the live events business, and it now sets

0:15:05.840 --> 0:15:08.640
<v Speaker 2>the stage for a possible breakup of the largest US

0:15:08.720 --> 0:15:11.760
<v Speaker 2>concert promoter and ticket seller. Live Nation says it will

0:15:11.760 --> 0:15:12.960
<v Speaker 2>appeal the verdict.

0:15:13.160 --> 0:15:16.560
<v Speaker 3>Carroct now coming up ed. UK financial institutions will soon

0:15:16.600 --> 0:15:20.640
<v Speaker 3>be getting access to anthropic mythos as concerns about cyberrists

0:15:20.680 --> 0:15:23.360
<v Speaker 3>from the global regulators and enterprise continues to grow. That

0:15:23.440 --> 0:15:24.760
<v Speaker 3>next this of bluebg.

0:15:24.400 --> 0:15:39.720
<v Speaker 8>Tech, UK institutions will.

0:15:39.600 --> 0:15:42.840
<v Speaker 3>Soon get access to anthropics powerful new model mythos on

0:15:42.960 --> 0:15:46.080
<v Speaker 3>preview now. The company's head of EMEA North Pitt White,

0:15:46.120 --> 0:15:48.080
<v Speaker 3>spoke the bluemost Tom McKenzie earlier taking.

0:15:47.920 --> 0:15:53.000
<v Speaker 9>Listen mythos found vulnerabilities in every single operating system and

0:15:53.480 --> 0:15:56.200
<v Speaker 9>every single web browser, and so we wanted to build

0:15:56.200 --> 0:15:59.360
<v Speaker 9>this small cohort first to basically learn from what they

0:15:59.440 --> 0:16:02.240
<v Speaker 9>found in the contained in controlled manner. But you're right,

0:16:02.320 --> 0:16:05.360
<v Speaker 9>our intention is definitely to expand this out in a

0:16:05.480 --> 0:16:06.520
<v Speaker 9>very intentional way.

0:16:06.560 --> 0:16:09.680
<v Speaker 10>Typically it hasn't been expanded to UK financial institutions yet.

0:16:09.560 --> 0:16:11.800
<v Speaker 9>No, but I think that is in the very near term,

0:16:12.160 --> 0:16:14.200
<v Speaker 9>like in the next week's or way in the next week,

0:16:14.520 --> 0:16:16.160
<v Speaker 9>in the next next week, okay.

0:16:15.920 --> 0:16:17.600
<v Speaker 10>And the top UK financial institution.

0:16:17.680 --> 0:16:19.560
<v Speaker 9>Yeah, we've been I mean, as you would expect, the

0:16:19.920 --> 0:16:22.840
<v Speaker 9>engagement that I've had from CEOs in the last week

0:16:23.560 --> 0:16:26.680
<v Speaker 9>in the UK has been significant. Customers firstly want to

0:16:26.720 --> 0:16:31.160
<v Speaker 9>say that they appreciate our very thoughtful approach to the

0:16:31.200 --> 0:16:35.480
<v Speaker 9>way in which we have released mythos, but secondly, of

0:16:35.480 --> 0:16:38.680
<v Speaker 9>course they want to understand the opportunity to be considered

0:16:39.320 --> 0:16:41.760
<v Speaker 9>to gain access to that model in a controlled way,

0:16:42.120 --> 0:16:44.280
<v Speaker 9>and so we've been having a lot of conversations with

0:16:44.360 --> 0:16:47.200
<v Speaker 9>CEOs about the reason why firstly we did project Project

0:16:47.240 --> 0:16:50.160
<v Speaker 9>glass Wing and the way that we thought about that intentionally,

0:16:50.600 --> 0:16:54.440
<v Speaker 9>and then secondly being very clear and to understand exactly

0:16:54.880 --> 0:16:57.280
<v Speaker 9>why they want to get access to mythos and then

0:16:57.360 --> 0:17:00.280
<v Speaker 9>working in partnership with those customers to think of the

0:17:00.280 --> 0:17:02.760
<v Speaker 9>next kind of phase two and three and four.

0:17:03.400 --> 0:17:07.680
<v Speaker 10>Does a system of release from Frontier Labs need to change?

0:17:07.840 --> 0:17:10.800
<v Speaker 10>Some will be looking at this and thinking Anthropic has

0:17:10.800 --> 0:17:13.720
<v Speaker 10>made this decision to limit the release of a model

0:17:13.760 --> 0:17:17.240
<v Speaker 10>that can prove very dangerous. There's the upside, but there's

0:17:17.280 --> 0:17:19.760
<v Speaker 10>also clearly the dangers that you've articulated and that the

0:17:19.760 --> 0:17:22.320
<v Speaker 10>team have articulated. It's come down to decision making it

0:17:22.359 --> 0:17:24.360
<v Speaker 10>Anthropic as to whether or not how to release this

0:17:24.880 --> 0:17:26.199
<v Speaker 10>That has to change, doesn't it.

0:17:26.920 --> 0:17:30.680
<v Speaker 9>I think where I would position it is that this model,

0:17:30.680 --> 0:17:33.760
<v Speaker 9>in particular, we saw a significant leap in cyber and

0:17:33.960 --> 0:17:36.040
<v Speaker 9>as a result of that, we were very concerned about

0:17:36.040 --> 0:17:38.600
<v Speaker 9>a mass release and made the decision not to do that.

0:17:39.119 --> 0:17:42.040
<v Speaker 9>And obviously I've already articulated our kind of approach with

0:17:42.400 --> 0:17:45.199
<v Speaker 9>Project Last Wing. I think labs have to take a

0:17:45.240 --> 0:17:50.080
<v Speaker 9>responsibility for thinking about safeguards, for thinking about safe and

0:17:50.160 --> 0:17:53.080
<v Speaker 9>responsible ais. It gets into the hands of the.

0:17:53.160 --> 0:17:58.840
<v Speaker 2>Enterprise that was in Thropic's head of EMEA North, Pip White.

0:17:58.920 --> 0:18:02.880
<v Speaker 2>Let's dive a little deeper into concerns Andthropics Mythos has

0:18:03.000 --> 0:18:08.240
<v Speaker 2>raised even within the company. Bloomberg cybersecurity reporter Margie Murphy

0:18:08.560 --> 0:18:11.040
<v Speaker 2>has been looking at exactly that in today's Big Take.

0:18:11.160 --> 0:18:14.880
<v Speaker 2>This is an important body of work, timely and pack

0:18:14.960 --> 0:18:18.680
<v Speaker 2>with detail about first the origins of Mythos, why they

0:18:19.160 --> 0:18:22.400
<v Speaker 2>started with the cyber security capability, it's not the only capability.

0:18:22.720 --> 0:18:25.719
<v Speaker 2>Take us inside that report and what we need to know.

0:18:27.200 --> 0:18:32.000
<v Speaker 11>Yeah, so we were really keen to understand how Anthropic

0:18:32.119 --> 0:18:37.120
<v Speaker 11>came to this decision, this really unusual, unprecedented decision to

0:18:37.160 --> 0:18:40.879
<v Speaker 11>not only hold back, you know, what would be the

0:18:41.240 --> 0:18:44.400
<v Speaker 11>latest update to claud and be you know, a great

0:18:44.640 --> 0:18:47.960
<v Speaker 11>revenue spinner, but also open it up to its competitors

0:18:48.880 --> 0:18:49.400
<v Speaker 11>to use.

0:18:50.000 --> 0:18:52.240
<v Speaker 8>And so to do that, we spoke with.

0:18:53.560 --> 0:18:57.280
<v Speaker 11>Nicholas Carlini, who in the cybersecurity world is known as

0:18:57.320 --> 0:19:01.440
<v Speaker 11>being a kind of security researcher genius, and learned that

0:19:01.960 --> 0:19:06.760
<v Speaker 11>he'd actually realized back in during testing a previous model

0:19:06.920 --> 0:19:11.919
<v Speaker 11>that Anthropics Opus could actually figure out ways to potentially

0:19:11.960 --> 0:19:16.479
<v Speaker 11>ex exploit flaws in tons of software. So they were

0:19:16.560 --> 0:19:19.600
<v Speaker 11>kind of aware that there might be some issues with

0:19:19.640 --> 0:19:22.960
<v Speaker 11>cybersecurity with the newer Methos model, so they were keeping

0:19:22.960 --> 0:19:25.000
<v Speaker 11>their eye on that as they were training the model

0:19:25.680 --> 0:19:28.800
<v Speaker 11>and testing, and then around February when they released it

0:19:28.840 --> 0:19:32.360
<v Speaker 11>for internal review, which means that all the Anthropic employees

0:19:32.359 --> 0:19:36.480
<v Speaker 11>are allowed to sort of play around, find glitches feedback.

0:19:38.640 --> 0:19:43.600
<v Speaker 11>Nicholas realized that there was not only could he get

0:19:43.640 --> 0:19:47.520
<v Speaker 11>help from Methos to exploit these floors, Mythos could just

0:19:47.560 --> 0:19:49.480
<v Speaker 11>go and do it completely on its own. So that

0:19:49.560 --> 0:19:53.359
<v Speaker 11>was a step up, and that's when they raised the

0:19:53.480 --> 0:19:56.560
<v Speaker 11>flags to the executive team, and the executive team kind

0:19:56.600 --> 0:19:58.440
<v Speaker 11>of had to sit around and say, how do we

0:19:59.119 --> 0:20:01.200
<v Speaker 11>how do we deal with this? Do you know, can

0:20:01.240 --> 0:20:03.640
<v Speaker 11>we release this? Should we put guardrails in?

0:20:04.080 --> 0:20:07.200
<v Speaker 3>And isn't it interesting that they are implementing more safeguards

0:20:07.240 --> 0:20:09.119
<v Speaker 3>when it comes to Opus four point seven that's just

0:20:09.200 --> 0:20:11.720
<v Speaker 3>been released talking about being able to detect and block

0:20:11.760 --> 0:20:15.719
<v Speaker 3>prohibited or high risk cybersecurity uses. They've learned from IFS

0:20:15.720 --> 0:20:17.720
<v Speaker 3>already on what they are allowing us to have. But

0:20:17.800 --> 0:20:20.960
<v Speaker 3>Margie push us as to whether it is as powerful

0:20:21.040 --> 0:20:23.160
<v Speaker 3>quickly as many make it out to be, because there

0:20:23.200 --> 0:20:24.040
<v Speaker 3>is some quandary.

0:20:25.359 --> 0:20:29.680
<v Speaker 11>Right look, I think a good question is it was

0:20:29.720 --> 0:20:32.719
<v Speaker 11>actually Heather Adkins, who's head of security engineering at Google

0:20:33.119 --> 0:20:35.159
<v Speaker 11>and where they have you know, through Gemini, they have

0:20:35.200 --> 0:20:38.199
<v Speaker 11>a big sleep LM that they release that does the

0:20:38.200 --> 0:20:38.680
<v Speaker 11>same thing.

0:20:38.840 --> 0:20:39.920
<v Speaker 3>It finds bugs.

0:20:39.960 --> 0:20:43.600
<v Speaker 11>It helps companies know if they have vulnerabilities they need

0:20:43.640 --> 0:20:46.480
<v Speaker 11>to fix. But they've put guardrails in place so that

0:20:46.560 --> 0:20:49.520
<v Speaker 11>it can't kind of run world and exploit things. And

0:20:49.640 --> 0:20:53.840
<v Speaker 11>Thropic has come to this decision to release in a

0:20:53.880 --> 0:20:56.840
<v Speaker 11>limited way something that can go and do quite scary

0:20:56.880 --> 0:21:00.719
<v Speaker 11>things so people can find them. So I think, you know,

0:21:01.680 --> 0:21:05.000
<v Speaker 11>what it's found is quite incredible. Other models probably can

0:21:05.040 --> 0:21:08.119
<v Speaker 11>do the same. It's a decision about putting the guardrails

0:21:08.119 --> 0:21:08.560
<v Speaker 11>in place.

0:21:09.000 --> 0:21:11.479
<v Speaker 3>Great context always, and you've got Q and A on

0:21:11.600 --> 0:21:13.840
<v Speaker 3>all of this. Tomorrow you've got to tune into Margie Murphy.

0:21:14.000 --> 0:21:16.960
<v Speaker 3>We appreciate it, and Bloomberg's journalists are going to be

0:21:17.240 --> 0:21:20.000
<v Speaker 3>therefore answering those questions for you on anthropics and mythos.

0:21:20.080 --> 0:21:22.080
<v Speaker 3>I think it's one thirty pm in New York time.

0:21:22.480 --> 0:21:26.400
<v Speaker 3>Check it out on the terminal on the website. Time

0:21:26.440 --> 0:21:28.959
<v Speaker 3>now for talking tech. First up, Tesla's Cybertruck has been

0:21:28.960 --> 0:21:31.359
<v Speaker 3>struggling to drum up consumer interest, but it's getting a

0:21:31.400 --> 0:21:35.080
<v Speaker 3>boost from inside Elon Musk's Empire SpaceX made up about

0:21:35.080 --> 0:21:37.880
<v Speaker 3>eighteen percent of US registrations in the fourth quarter, which

0:21:37.920 --> 0:21:41.080
<v Speaker 3>is over seven thousand of the trucks sold. Plus, SpaceX

0:21:41.119 --> 0:21:43.840
<v Speaker 3>is reportedly lining up tours of its Texas and California

0:21:43.840 --> 0:21:47.720
<v Speaker 3>facilities for prospective anchor investors. According to sources, SpaceX is

0:21:47.720 --> 0:21:50.760
<v Speaker 3>aiming to showcase its operations to big ticket backers like

0:21:50.800 --> 0:21:53.600
<v Speaker 3>sovereign wealth funds, and has already filed confidentially for an

0:21:53.600 --> 0:21:56.800
<v Speaker 3>IPO and an early bet on SpaceX could deliver a

0:21:56.920 --> 0:21:59.640
<v Speaker 3>huge fay of alphabet and new filing shows Google held

0:21:59.680 --> 0:22:01.560
<v Speaker 3>a six point one percent steak in the rocket maker

0:22:01.560 --> 0:22:03.679
<v Speaker 3>at the end of twenty twenty five, but roughly one

0:22:03.680 --> 0:22:06.720
<v Speaker 3>point two two billion dollars if SpaceX hits a two

0:22:06.880 --> 0:22:15.880
<v Speaker 3>trillion valuation ins ipoat welcome back to Bloomberg Tech. Well,

0:22:15.880 --> 0:22:17.960
<v Speaker 3>we're both in New York and it's such a joy

0:22:18.000 --> 0:22:20.720
<v Speaker 3>to have ed here to discuss what has been tech

0:22:20.760 --> 0:22:23.120
<v Speaker 3>on a tear. Let's get back up again on the day.

0:22:23.320 --> 0:22:25.640
<v Speaker 3>We're at a record high. We've been up for twelve

0:22:25.880 --> 0:22:29.040
<v Speaker 3>straight days. That is the longest winning streak for the

0:22:29.080 --> 0:22:32.440
<v Speaker 3>tech Benchmark says twenty seventeen four ten percent. In fact,

0:22:32.440 --> 0:22:35.080
<v Speaker 3>we're sort of managing to be near or at session high.

0:22:35.080 --> 0:22:36.439
<v Speaker 3>It's just coming off of them a little bit right now.

0:22:36.440 --> 0:22:38.280
<v Speaker 2>I guess we'll make the point that's not a vacuum.

0:22:38.320 --> 0:22:40.160
<v Speaker 2>That's where the war in the Middle East. Energy price

0:22:40.240 --> 0:22:42.560
<v Speaker 2>is going crazy. Full conviction on tech.

0:22:42.440 --> 0:22:44.960
<v Speaker 3>I'm extraordinary and conviction because look at t SMC and

0:22:45.000 --> 0:22:47.280
<v Speaker 3>look at these other numbers. We're getting fundamentals from Netflix,

0:22:47.280 --> 0:22:48.480
<v Speaker 3>for example, after the well.

0:22:48.560 --> 0:22:52.080
<v Speaker 2>Yeah, so Netflix is a first read since walking away

0:22:52.119 --> 0:22:54.840
<v Speaker 2>from Warner Brothers story and its top line growth and

0:22:54.920 --> 0:22:57.840
<v Speaker 2>bottom line growth, and Netflix will probably want to keep

0:22:57.880 --> 0:22:59.760
<v Speaker 2>it to that, right because everyone's really focused on in

0:22:59.800 --> 0:23:03.639
<v Speaker 2>gayagement right now, which prior to them walking away, I

0:23:03.640 --> 0:23:05.680
<v Speaker 2>don't know that the engagement data was that good.

0:23:05.760 --> 0:23:08.320
<v Speaker 3>High Sister summer twenty twenty five to SMC. It's interesting,

0:23:08.400 --> 0:23:10.840
<v Speaker 3>isn't it down? Maybe weakening a bit, but it moved

0:23:10.840 --> 0:23:14.040
<v Speaker 3>ahead of its numbers. Its numbers are stellar. The desire

0:23:14.119 --> 0:23:16.600
<v Speaker 3>to buy chips just shows the bottlenecks in a and

0:23:16.640 --> 0:23:17.360
<v Speaker 3>compute right now.

0:23:17.440 --> 0:23:21.159
<v Speaker 2>Yeah, and going into earnings prints and TSMC seems to

0:23:21.160 --> 0:23:25.200
<v Speaker 2>report some kind of earnings every week. You know, there's

0:23:25.240 --> 0:23:27.600
<v Speaker 2>a high bar, and I think we have that maintained

0:23:27.600 --> 0:23:29.480
<v Speaker 2>for the rest of earnings. There's a lot going on

0:23:29.560 --> 0:23:32.280
<v Speaker 2>in the world of AI infrastructure. The massive buildout of

0:23:32.320 --> 0:23:36.359
<v Speaker 2>the infrastructure is hitting a political walk just months before

0:23:36.640 --> 0:23:39.800
<v Speaker 2>the midterm elections. Bloomberg's Martniquette joins us Now to share

0:23:39.800 --> 0:23:44.119
<v Speaker 2>more about the high stakes balancing act between industrial progress

0:23:44.720 --> 0:23:47.560
<v Speaker 2>and political survival. I mean, in the last week alone, Mark,

0:23:47.560 --> 0:23:50.920
<v Speaker 2>we've talked about this in the context of energy prices

0:23:50.920 --> 0:23:53.080
<v Speaker 2>in zip codes, where data centers are getting built out

0:23:53.119 --> 0:23:56.040
<v Speaker 2>right for the president, that is an issue amongst the

0:23:56.080 --> 0:23:59.639
<v Speaker 2>elector now going into the midterms. There is a nimbi

0:23:59.680 --> 0:24:02.720
<v Speaker 2>concient iteration. There are all sorts of things about how

0:24:02.760 --> 0:24:06.760
<v Speaker 2>real everyday Americans read the build out in AI instruction,

0:24:06.880 --> 0:24:08.840
<v Speaker 2>whether they care, what are you reporting?

0:24:10.320 --> 0:24:13.520
<v Speaker 12>Well, We've been tracking sort of the political impact of

0:24:13.640 --> 0:24:16.399
<v Speaker 12>the growing opposition to data centers we're seeing at the

0:24:16.440 --> 0:24:21.840
<v Speaker 12>local level, primarily because of rising electricity prices. We saw

0:24:21.880 --> 0:24:26.400
<v Speaker 12>a big impact in the gubernatorial races in Virginia and

0:24:26.760 --> 0:24:31.960
<v Speaker 12>New Jersey last year that'st November, and since that this

0:24:32.119 --> 0:24:36.640
<v Speaker 12>was becoming more of a political liability for politicians if

0:24:36.640 --> 0:24:41.280
<v Speaker 12>they didn't address the rising electricity prices, in particular because

0:24:41.320 --> 0:24:44.840
<v Speaker 12>of data centers and data center demand, and what we

0:24:44.880 --> 0:24:48.520
<v Speaker 12>sought out to explore was the reaction that we've seen

0:24:48.680 --> 0:24:53.160
<v Speaker 12>at the federal and state level to this backlash. By

0:24:53.200 --> 0:24:59.280
<v Speaker 12>having the politicians asked the developers to sort of bring

0:24:59.560 --> 0:25:03.000
<v Speaker 12>or buy their own power, the idea is data center

0:25:03.040 --> 0:25:09.439
<v Speaker 12>developers would build their own on site generation or have

0:25:09.480 --> 0:25:13.520
<v Speaker 12>purchase agreements that account for their energy uses. This could

0:25:13.520 --> 0:25:16.320
<v Speaker 12>be a way to address the concerns that voters have

0:25:16.400 --> 0:25:20.560
<v Speaker 12>about electricity demand from data centers.

0:25:20.800 --> 0:25:23.520
<v Speaker 3>I mean, the news just keeps on coming. Main just

0:25:23.920 --> 0:25:26.440
<v Speaker 3>this week has become the first state they're sort of

0:25:26.440 --> 0:25:29.399
<v Speaker 3>put a moratorium on the build out of AI data centers.

0:25:29.400 --> 0:25:30.800
<v Speaker 3>It's still going to be signed off by the governor,

0:25:30.840 --> 0:25:33.000
<v Speaker 3>but I'm speaking with a business owner in Maine just

0:25:33.040 --> 0:25:35.479
<v Speaker 3>saying that the relief that we just get a pause

0:25:35.840 --> 0:25:39.200
<v Speaker 3>so we can understand what regulation is needed. So does

0:25:39.200 --> 0:25:42.400
<v Speaker 3>it need more for the electorate than just Microsoft paying

0:25:42.400 --> 0:25:43.320
<v Speaker 3>its way for its power?

0:25:44.440 --> 0:25:48.000
<v Speaker 12>I think so our story today sort of explore this issue.

0:25:48.040 --> 0:25:52.359
<v Speaker 12>Does having a project sort of bring its own power

0:25:52.440 --> 0:25:55.359
<v Speaker 12>or buy its own power alleviate any of the concerns

0:25:55.400 --> 0:26:00.399
<v Speaker 12>that residents have about data centers? And the answer seems

0:26:00.400 --> 0:26:03.800
<v Speaker 12>to be no, in the sense that now there's still

0:26:04.560 --> 0:26:08.760
<v Speaker 12>a lot of opposition to data centers because folks don't

0:26:08.760 --> 0:26:11.399
<v Speaker 12>want to live next to them, or they're concerned about

0:26:12.640 --> 0:26:17.800
<v Speaker 12>pollution either noise or emissions from the power sources that

0:26:17.119 --> 0:26:22.159
<v Speaker 12>are being generated to power the data centers, and just

0:26:22.600 --> 0:26:28.480
<v Speaker 12>overall concerns about AI and folks opposed to the advancement

0:26:28.520 --> 0:26:33.040
<v Speaker 12>of artificial intelligence. So we have today sort of explore

0:26:33.040 --> 0:26:38.000
<v Speaker 12>the idea that if the politicians outreach to get data

0:26:38.040 --> 0:26:40.919
<v Speaker 12>centers to bring their own power was going to alleviate

0:26:41.119 --> 0:26:44.560
<v Speaker 12>opposition to data centers. It probably won't, or at least

0:26:44.640 --> 0:26:46.720
<v Speaker 12>it's not going to alleviate all of the opposition.

0:26:47.119 --> 0:26:49.680
<v Speaker 3>Mark M. Katt, great reporting. We urge people to go

0:26:49.760 --> 0:26:52.640
<v Speaker 3>and read that story and look, that's about domestic tensions

0:26:52.640 --> 0:26:54.600
<v Speaker 3>in the US, but it's not just happening here in

0:26:54.640 --> 0:26:56.960
<v Speaker 3>the US. Over in Europe, there are attentions flaring about

0:26:57.000 --> 0:27:00.320
<v Speaker 3>the environmental footprint of AI. In Spain in particular, is

0:27:00.320 --> 0:27:03.480
<v Speaker 3>actually still positioning itself as the AI capital of Europe.

0:27:03.560 --> 0:27:07.040
<v Speaker 3>A ninety billion dollar infrastructure push there newbos Clara and

0:27:07.160 --> 0:27:10.560
<v Speaker 3>and Lazaraga is here with us to detail where you

0:27:10.640 --> 0:27:13.960
<v Speaker 3>went in Spain. You discussed with families with farmers who

0:27:14.119 --> 0:27:16.520
<v Speaker 3>suddenly had this sense of urgency to sell their land

0:27:17.000 --> 0:27:20.240
<v Speaker 3>to aws for example. Go from there, what have you

0:27:20.320 --> 0:27:22.320
<v Speaker 3>learned from being on the ground as to how people

0:27:22.320 --> 0:27:23.880
<v Speaker 3>feel about these data centers?

0:27:25.640 --> 0:27:29.320
<v Speaker 13>Thank you? Hi. So I traveled to air On, I

0:27:29.320 --> 0:27:33.679
<v Speaker 13>spoke to locals, to farmers, and the sense I got is,

0:27:33.800 --> 0:27:37.600
<v Speaker 13>you know, some people are in favor of the data centers,

0:27:37.640 --> 0:27:42.600
<v Speaker 13>but some people are very directly affected because these infrastructure

0:27:42.680 --> 0:27:47.400
<v Speaker 13>needs land, and that means either expropriating people or pushing

0:27:47.400 --> 0:27:50.439
<v Speaker 13>them out of land they've been leasening for generations. So

0:27:51.440 --> 0:27:53.040
<v Speaker 13>for a lot of the locals there is a sense

0:27:53.080 --> 0:27:56.199
<v Speaker 13>that there's very little for them and that most of

0:27:56.240 --> 0:27:59.000
<v Speaker 13>the benefits of this push are going to go elsewhere.

0:27:59.200 --> 0:28:03.160
<v Speaker 2>We're talking about the sort of Zaragotha, the region near Barcelona,

0:28:03.240 --> 0:28:06.560
<v Speaker 2>northeast Spain. And the pitch from the Spanish government and

0:28:06.680 --> 0:28:10.639
<v Speaker 2>from municipalities and from industry is this is the model

0:28:10.640 --> 0:28:13.720
<v Speaker 2>of how it should be to build out data centers.

0:28:14.320 --> 0:28:17.280
<v Speaker 2>What is their pitch for how they think this will

0:28:17.320 --> 0:28:20.879
<v Speaker 2>benefit the region economically and what's the real terms build

0:28:20.920 --> 0:28:22.159
<v Speaker 2>out that's happening on the ground.

0:28:25.080 --> 0:28:30.119
<v Speaker 13>Yeah, so the local government argues that one will become

0:28:30.200 --> 0:28:35.439
<v Speaker 13>the Virginia of Europe. They expect to it will create

0:28:35.760 --> 0:28:42.160
<v Speaker 13>many tens of thousands of jobs, and it's been so

0:28:42.200 --> 0:28:46.160
<v Speaker 13>successful that actually the companies are investing there, such as

0:28:46.200 --> 0:28:47.360
<v Speaker 13>Amazon and Microsoft.

0:28:47.440 --> 0:28:48.440
<v Speaker 14>They are now.

0:28:50.320 --> 0:28:53.120
<v Speaker 13>Pushing this idea that the framework that's in place there

0:28:53.160 --> 0:28:55.400
<v Speaker 13>should be an example for the rest of the of

0:28:55.520 --> 0:29:03.000
<v Speaker 13>the EU national nationwide, the central government is more reluctant.

0:29:03.040 --> 0:29:08.040
<v Speaker 13>There's a different political party and the government in Madrid

0:29:08.200 --> 0:29:12.680
<v Speaker 13>is more keing to regulate and set some limits to

0:29:13.440 --> 0:29:16.320
<v Speaker 13>you know, who gets to plug into the grid and

0:29:16.360 --> 0:29:17.520
<v Speaker 13>who gets to build.

0:29:17.600 --> 0:29:21.080
<v Speaker 3>And there's the tension that pi GA framework basically an

0:29:21.160 --> 0:29:25.239
<v Speaker 3>ability to fast track the ability to start building these

0:29:25.320 --> 0:29:29.520
<v Speaker 3>data centers for Microsoft at AWS with less regulation because

0:29:29.560 --> 0:29:31.240
<v Speaker 3>it's needed for the economy. But you still point out

0:29:31.240 --> 0:29:32.920
<v Speaker 3>in the story that actually maybe it's not that necessary

0:29:32.920 --> 0:29:34.680
<v Speaker 3>for this part of the economy. There's people have got

0:29:34.920 --> 0:29:39.160
<v Speaker 3>pretty wide broad reach of jobs and I'm interested as

0:29:39.200 --> 0:29:42.040
<v Speaker 3>to whether regulation will come in and what more broadly

0:29:42.080 --> 0:29:44.720
<v Speaker 3>You'll see from companies responding to this because they say

0:29:44.800 --> 0:29:47.720
<v Speaker 3>PIGA should be used more broadly and it's necessary.

0:29:49.000 --> 0:29:52.320
<v Speaker 13>Yeah, so regulation is expected at EU level. I believe

0:29:52.440 --> 0:29:57.480
<v Speaker 13>the Commission is set to present a proposal in the

0:29:57.520 --> 0:29:59.880
<v Speaker 13>first quarter of this year, so it should be happening

0:30:00.960 --> 0:30:03.880
<v Speaker 13>in terms of Spain alone. There is a law that

0:30:04.000 --> 0:30:11.480
<v Speaker 13>came out in March that will so will set the

0:30:12.120 --> 0:30:14.760
<v Speaker 13>so the granting of the promits will be tied to

0:30:15.560 --> 0:30:20.720
<v Speaker 13>meeting certain sustainability and efficiency criteria. But those new measures

0:30:20.760 --> 0:30:23.400
<v Speaker 13>will only apply to the future projects, not to the

0:30:23.520 --> 0:30:24.680
<v Speaker 13>already existing ones.

0:30:25.000 --> 0:30:28.200
<v Speaker 2>Bloombo's Clara and Nancy the Aga, who joins us as

0:30:28.200 --> 0:30:30.320
<v Speaker 2>a correspondent from Spain, thank you so much.

0:30:36.880 --> 0:30:38.320
<v Speaker 3>We want to bring you some breaking news on the

0:30:38.400 --> 0:30:41.600
<v Speaker 3>war in Aram. President Trump posting on truth Social saying

0:30:41.640 --> 0:30:44.480
<v Speaker 3>a ten days spar has been agreed to with Lebanon

0:30:44.720 --> 0:30:48.560
<v Speaker 3>and Israel. The markets react optimism there we're still higher

0:30:48.640 --> 0:30:51.000
<v Speaker 3>or we're high throughout the day, ed. But many had

0:30:51.000 --> 0:30:53.960
<v Speaker 3>wanted how this will progress, given Hesbula had well not

0:30:54.000 --> 0:30:56.360
<v Speaker 3>wanted to down their own tools or arms.

0:30:56.520 --> 0:30:56.720
<v Speaker 5>Yep.

0:30:56.800 --> 0:31:00.200
<v Speaker 2>And you know that's the market reaction. Inequities is there's

0:31:00.200 --> 0:31:03.560
<v Speaker 2>some reaction elsewhere. But in the post Trump President Trump

0:31:03.560 --> 0:31:05.440
<v Speaker 2>saying that he spoke with both Nes Andahu and the

0:31:05.520 --> 0:31:08.800
<v Speaker 2>leaders of Lebanon directly. We will continue to monitor it

0:31:08.840 --> 0:31:11.800
<v Speaker 2>as well as the market impact. Let's go to private markets.

0:31:12.240 --> 0:31:15.160
<v Speaker 2>Open ai has rolled out it's a new GPT five

0:31:15.200 --> 0:31:19.840
<v Speaker 2>point four cyber model to select users, doubling down on security.

0:31:20.200 --> 0:31:22.200
<v Speaker 2>As competition with anthropic heats up.

0:31:22.200 --> 0:31:22.760
<v Speaker 5>The focus on.

0:31:22.800 --> 0:31:26.520
<v Speaker 2>Cyber comes as trust and governance continue to kind of

0:31:26.520 --> 0:31:29.600
<v Speaker 2>slow down AI adoption in different sectors at scale. So

0:31:29.600 --> 0:31:32.160
<v Speaker 2>what does this next phase of the AIS race mean

0:31:32.240 --> 0:31:35.120
<v Speaker 2>for startups? But it's investors too. Joining us now is

0:31:35.240 --> 0:31:38.200
<v Speaker 2>eric O Breshier, Managing director at Red Point Ventures, a

0:31:38.280 --> 0:31:41.960
<v Speaker 2>backer of open ai at the Series C stage. This

0:31:42.000 --> 0:31:45.240
<v Speaker 2>is really interesting right now. You know, defense technology generally

0:31:45.400 --> 0:31:49.160
<v Speaker 2>is still a main focus of investors like yourself everywhere,

0:31:49.680 --> 0:31:54.400
<v Speaker 2>but the relationship between the technology sector and the arms

0:31:54.400 --> 0:31:57.640
<v Speaker 2>of government, the Pentagon, we're rethinking it a bit. What's

0:31:57.640 --> 0:31:59.000
<v Speaker 2>your latest thinking on that.

0:32:00.480 --> 0:32:03.320
<v Speaker 15>Well, look, I think we've always known that these models

0:32:03.320 --> 0:32:06.680
<v Speaker 15>were going to get increasingly powerful, and we need to

0:32:06.760 --> 0:32:10.280
<v Speaker 15>work together across the private and the public sectors to

0:32:10.400 --> 0:32:13.640
<v Speaker 15>make sure that we keep people safe. Because whatever, you know,

0:32:13.840 --> 0:32:17.440
<v Speaker 15>power we build into models and try to use responsibly.

0:32:17.440 --> 0:32:21.800
<v Speaker 15>There are others in the world, unfortunately, that will use maliciously,

0:32:22.080 --> 0:32:25.360
<v Speaker 15>and so it's important that folks have open dialogue. We're

0:32:25.360 --> 0:32:29.240
<v Speaker 15>constantly sharing and collaborating and figuring out the best way

0:32:29.280 --> 0:32:33.560
<v Speaker 15>to shore up defenses for those who who needn't deserve it,

0:32:33.600 --> 0:32:35.560
<v Speaker 15>to make sure we can always stay one step ahead

0:32:35.600 --> 0:32:38.000
<v Speaker 15>of those who are meaning to do harm.

0:32:38.640 --> 0:32:41.120
<v Speaker 3>It's so fascinating to have you on, in particular because

0:32:41.160 --> 0:32:44.200
<v Speaker 3>of your experience with you know, when you're being purchased

0:32:44.320 --> 0:32:46.800
<v Speaker 3>your own company, but Nami was being purchased by VMware,

0:32:46.840 --> 0:32:48.760
<v Speaker 3>you think about what the experience you had to get help.

0:32:48.800 --> 0:32:50.040
<v Speaker 3>But for me, it's the fact that on the board

0:32:50.040 --> 0:32:53.360
<v Speaker 3>of Linux Foundation since all the way back to twenty sixteen. Look, oh,

0:32:53.440 --> 0:32:56.080
<v Speaker 3>Margie Murphy, our cyber reporter, is really talking about how

0:32:56.120 --> 0:32:59.600
<v Speaker 3>mythos has been a concern for the very underpinning of

0:33:00.120 --> 0:33:03.600
<v Speaker 3>the Internet. Erica, how much are these models giving you

0:33:03.640 --> 0:33:06.920
<v Speaker 3>polls over that foundation or more broadly an opportunity for

0:33:06.920 --> 0:33:08.560
<v Speaker 3>some of the cyber companies that you back.

0:33:10.360 --> 0:33:13.840
<v Speaker 15>Look, I'm a techno optimist, right, and I think that

0:33:14.400 --> 0:33:17.440
<v Speaker 15>AI can do wonders for open source, which, to your point,

0:33:17.520 --> 0:33:21.120
<v Speaker 15>is the underpinnings to the Internet. Using these models can

0:33:21.160 --> 0:33:23.959
<v Speaker 15>help us find vulnerabilities that we didn't know were there.

0:33:24.160 --> 0:33:28.120
<v Speaker 15>It can help them patch vulnerabilities more quickly. So I

0:33:28.120 --> 0:33:30.600
<v Speaker 15>think it's great for the world. And as you mentioned,

0:33:30.640 --> 0:33:33.200
<v Speaker 15>we do have a number of cyber investments, one of

0:33:33.200 --> 0:33:37.280
<v Speaker 15>which is called jet Stream that is focused on AI

0:33:37.400 --> 0:33:43.400
<v Speaker 15>governance and visibility. It'll allow enterprises to understand what's happening

0:33:43.440 --> 0:33:48.200
<v Speaker 15>in their organization, create a dynamic graph of AI activity

0:33:48.320 --> 0:33:54.320
<v Speaker 15>across the system, and put in place controls to secure it.

0:33:54.440 --> 0:33:57.280
<v Speaker 15>And so I think there's a lot of opportunity both

0:33:57.320 --> 0:34:00.000
<v Speaker 15>on the open source side of things to bring AI

0:34:00.200 --> 0:34:03.040
<v Speaker 15>to improve open source as well as a lot in

0:34:03.400 --> 0:34:07.360
<v Speaker 15>private companies to deliver tools to enterprises to get them

0:34:07.400 --> 0:34:11.440
<v Speaker 15>ready for what's to come in as AI continues to proliberate.

0:34:11.719 --> 0:34:15.120
<v Speaker 2>So you're the investor and you have a conversation with

0:34:15.200 --> 0:34:17.680
<v Speaker 2>the portfolio companies and they'll probably go to you, Erica,

0:34:17.680 --> 0:34:19.400
<v Speaker 2>what do you think we should do? And the tension

0:34:19.480 --> 0:34:23.520
<v Speaker 2>is this industry says these should be smaller open source models.

0:34:23.760 --> 0:34:26.239
<v Speaker 2>That is the best way for everyone to work collectively

0:34:26.520 --> 0:34:31.040
<v Speaker 2>in the cybersecurity context. Anthropic and open AI do limited

0:34:31.200 --> 0:34:34.640
<v Speaker 2>access to what are much more powerful models, and they

0:34:34.760 --> 0:34:38.280
<v Speaker 2>argue the limited access is a guardrail in and of itself,

0:34:38.440 --> 0:34:42.600
<v Speaker 2>but it means that for researchers, bug bounty players, etc.

0:34:43.000 --> 0:34:46.200
<v Speaker 2>It's close to them, what is the right pathway forward?

0:34:48.640 --> 0:34:51.440
<v Speaker 15>Look, I think we need to be responsible with the

0:34:51.480 --> 0:34:54.280
<v Speaker 15>power of these new models coming online. And it reminds

0:34:54.280 --> 0:34:57.520
<v Speaker 15>me of like responsible disclosure in cyber right when you

0:34:57.640 --> 0:35:00.680
<v Speaker 15>find as zero day, you have to report it responsibly

0:35:00.760 --> 0:35:03.239
<v Speaker 15>before you share your work with the world. I see

0:35:03.239 --> 0:35:06.239
<v Speaker 15>a very similar pattern here, and I'm actually very supportive

0:35:06.800 --> 0:35:09.200
<v Speaker 15>of what the model vendors are doing and trying to

0:35:09.200 --> 0:35:12.120
<v Speaker 15>bring together the right folks. The Linux Foundation included in

0:35:12.200 --> 0:35:15.120
<v Speaker 15>Project glass Wing to make sure that people get an

0:35:15.160 --> 0:35:17.839
<v Speaker 15>opportunity to see what these models can do, to put

0:35:17.840 --> 0:35:20.040
<v Speaker 15>them to work, and to make sure that they're building

0:35:20.080 --> 0:35:22.680
<v Speaker 15>up tools that can defend against them if they're used

0:35:22.680 --> 0:35:25.560
<v Speaker 15>for malicious purposes. Again, I think you need a lot

0:35:25.560 --> 0:35:30.240
<v Speaker 15>of different perspectives, organizations, and quite frankly, just brains around

0:35:30.239 --> 0:35:32.680
<v Speaker 15>this problem to make sure that we're building the right

0:35:32.760 --> 0:35:35.080
<v Speaker 15>controls to make sure that we can get all the

0:35:35.239 --> 0:35:39.400
<v Speaker 15>value out of AI without sacrificing our defenses.

0:35:40.440 --> 0:35:43.920
<v Speaker 3>Value out of AI at this moment, Erica, how are

0:35:44.000 --> 0:35:46.880
<v Speaker 3>the bets of ules, are the portfolio companies managing to

0:35:46.880 --> 0:35:49.400
<v Speaker 3>get the value? How are we seeing this being adopted

0:35:49.400 --> 0:35:53.359
<v Speaker 3>within teams? Embraced and push forward. Yeah.

0:35:53.600 --> 0:35:57.040
<v Speaker 15>Look, I think the best companies are adopting AI across

0:35:57.080 --> 0:36:00.640
<v Speaker 15>the stack. Ramp has had a number of fantastic stick posts.

0:36:00.640 --> 0:36:04.800
<v Speaker 15>They're completely changing their entire culture by enabling their company

0:36:04.880 --> 0:36:09.080
<v Speaker 15>to build with AI across the stack. We have companies

0:36:09.200 --> 0:36:11.920
<v Speaker 15>like Railway, for example, that run all of their go

0:36:12.000 --> 0:36:14.520
<v Speaker 15>to market with AI. So it's not just about coding,

0:36:14.560 --> 0:36:20.600
<v Speaker 15>where of course we're seeing incredible acceleration in products, shipping evolution,

0:36:20.960 --> 0:36:24.160
<v Speaker 15>you know, new feature development, et cetera, but also the

0:36:24.239 --> 0:36:28.040
<v Speaker 15>go to market teams are building their own tooling.

0:36:27.760 --> 0:36:28.439
<v Speaker 4>Now with AI.

0:36:28.520 --> 0:36:30.880
<v Speaker 15>I mean I'm building my own tooling for for my

0:36:31.000 --> 0:36:33.960
<v Speaker 15>work and venture right And so I think the companies

0:36:33.960 --> 0:36:35.960
<v Speaker 15>that get ahead are the ones who are going to

0:36:36.719 --> 0:36:42.520
<v Speaker 15>drive AI usage throughout their organization across finance, HR, you know,

0:36:42.719 --> 0:36:45.840
<v Speaker 15>support go to market and not only code, which is

0:36:45.840 --> 0:36:48.160
<v Speaker 15>obviously a huge opportunity in and of itself.

0:36:48.480 --> 0:36:50.960
<v Speaker 3>Maybe have some bandwidth for some fun marketing. As we've

0:36:50.960 --> 0:36:54.719
<v Speaker 3>all been liking the Logora new ad of late mister

0:36:54.800 --> 0:36:58.200
<v Speaker 3>Jude law Erica, Russia, we thank you very much, a Redpoint.

0:36:58.239 --> 0:37:00.440
<v Speaker 3>Thank you. Great to have you coming up the CEO

0:37:00.480 --> 0:37:04.120
<v Speaker 3>of Slash Joints to discuss his startups newly minted unicorn status,

0:37:04.480 --> 0:37:06.960
<v Speaker 3>so it aims to take on fintech rivals like Ram.

0:37:07.000 --> 0:37:09.680
<v Speaker 3>We're just talking about them, like gregs. It's pretty big

0:37:09.719 --> 0:37:19.759
<v Speaker 3>tech Slash Financial it's just raised one hundred million dollars

0:37:19.760 --> 0:37:23.000
<v Speaker 3>from backs including Ribert Capital coasal A Ventures. The startup

0:37:23.040 --> 0:37:26.880
<v Speaker 3>offers banking financial services along with features tailored to specific industries,

0:37:27.120 --> 0:37:30.960
<v Speaker 3>medical spots, construction firms. Sneakers is where it started. Slash's

0:37:31.000 --> 0:37:33.600
<v Speaker 3>co found or CEO of Victor Cadenas, joins us. Now,

0:37:33.600 --> 0:37:35.080
<v Speaker 3>I wish we could just talk about all birds with

0:37:35.120 --> 0:37:38.279
<v Speaker 3>you and it's resurrection into an AI company, Victor, But

0:37:38.320 --> 0:37:40.839
<v Speaker 3>I'm interested as to what the one hundred million helps

0:37:40.880 --> 0:37:43.439
<v Speaker 3>you do. You're going global, where are you leaning into?

0:37:44.440 --> 0:37:44.960
<v Speaker 5>Absolutely?

0:37:45.000 --> 0:37:47.160
<v Speaker 14>First of all, Caroline, thank you so much for having

0:37:47.160 --> 0:37:49.200
<v Speaker 14>me on as a long time watcher of the show.

0:37:49.239 --> 0:37:51.440
<v Speaker 14>It's such a privilege to get to participate for the

0:37:51.440 --> 0:37:54.400
<v Speaker 14>first time. Thanks well to Sincly. There's two things this

0:37:54.480 --> 0:37:57.400
<v Speaker 14>funding enables us to do. Serve more markets and serve

0:37:57.560 --> 0:38:01.680
<v Speaker 14>more geographies. Quite core to the Slash thesis and strategy,

0:38:01.719 --> 0:38:04.200
<v Speaker 14>as you mentioned, is this idea that business owners deserve

0:38:04.239 --> 0:38:07.680
<v Speaker 14>banking products hyper tailor to the needs of their specific industries.

0:38:07.880 --> 0:38:10.319
<v Speaker 14>Slash right now is valuable to businesses in over a

0:38:10.320 --> 0:38:12.799
<v Speaker 14>dozen industries, but we want Slash to be a household name.

0:38:12.800 --> 0:38:13.960
<v Speaker 5>We want to bring it to as many.

0:38:13.800 --> 0:38:16.879
<v Speaker 14>Possible entrepreneurs in America and beyond. Right now, we're living

0:38:16.880 --> 0:38:20.000
<v Speaker 14>in a super interesting time in fintech history where for

0:38:20.040 --> 0:38:22.719
<v Speaker 14>the first time ever, it's very easy and possible for

0:38:22.840 --> 0:38:26.120
<v Speaker 14>an American fintic company like Slash to serve businesses all

0:38:26.160 --> 0:38:28.919
<v Speaker 14>over the world. Stable coins are this really enabling force

0:38:29.160 --> 0:38:31.640
<v Speaker 14>that allow us to have a default global product, and

0:38:31.680 --> 0:38:34.319
<v Speaker 14>we want Slash to reach business owners worldwide, and that's

0:38:34.320 --> 0:38:35.680
<v Speaker 14>what this funding is going to go towards.

0:38:35.719 --> 0:38:37.200
<v Speaker 5>So you're raising one hundred million dollars.

0:38:37.239 --> 0:38:38.640
<v Speaker 2>But I think you guys would be at pains to

0:38:38.640 --> 0:38:40.840
<v Speaker 2>say we're a really small team or a lean team,

0:38:40.920 --> 0:38:43.080
<v Speaker 2>is how you'd put it. You're at three hundred million

0:38:43.080 --> 0:38:48.440
<v Speaker 2>dollar arr right, which is something to note. If that's

0:38:48.480 --> 0:38:51.360
<v Speaker 2>the case, where does that one hundred million go, Like,

0:38:51.440 --> 0:38:53.319
<v Speaker 2>why do you need to deploy?

0:38:54.080 --> 0:38:57.200
<v Speaker 14>Absolutely? I think you're absolutely right. We have a very

0:38:57.280 --> 0:38:59.799
<v Speaker 14>lean team. Our company has been profitable since May of

0:39:00.040 --> 0:39:01.680
<v Speaker 14>last year. But in the age of AI, because it's

0:39:01.719 --> 0:39:04.319
<v Speaker 14>so easy for anyone to build software. Brand is more

0:39:04.360 --> 0:39:07.480
<v Speaker 14>important than ever, and banking is very much a relationships game.

0:39:07.480 --> 0:39:09.760
<v Speaker 5>There's three reasons customers come to Slash.

0:39:09.800 --> 0:39:11.560
<v Speaker 14>The first of all is we have a phenomenal product,

0:39:11.680 --> 0:39:13.839
<v Speaker 14>The second of all is we offer phenomenal rewards, And

0:39:13.880 --> 0:39:17.200
<v Speaker 14>the third is we've brought the community bank model to fintech.

0:39:17.280 --> 0:39:19.720
<v Speaker 14>All else being equal, people like to bank and spend

0:39:19.880 --> 0:39:22.080
<v Speaker 14>with the institution they have the best relationship with. So

0:39:22.120 --> 0:39:24.239
<v Speaker 14>if we want to reach and deliver an amazing level

0:39:24.239 --> 0:39:26.480
<v Speaker 14>of support to business owners all over America and all

0:39:26.520 --> 0:39:28.000
<v Speaker 14>over the world, that's going to take a lot of

0:39:28.000 --> 0:39:30.240
<v Speaker 14>people and a lot of investing in our brand.

0:39:30.960 --> 0:39:33.880
<v Speaker 3>Victim, just go back to how lean the actual startup is.

0:39:33.960 --> 0:39:36.120
<v Speaker 3>I think you've only got sixty eight or thereabouts employees

0:39:36.120 --> 0:39:38.640
<v Speaker 3>before you start adding more to this go to market

0:39:38.640 --> 0:39:42.560
<v Speaker 3>and marketing strategy. How much you enabled by AI, how

0:39:42.640 --> 0:39:45.120
<v Speaker 3>much you thinking about keeping your cost base low.

0:39:46.800 --> 0:39:49.879
<v Speaker 14>Entirely, this business, the way that we've run it would

0:39:49.920 --> 0:39:52.239
<v Speaker 14>not be possible if it were not for AI. I

0:39:52.239 --> 0:39:55.120
<v Speaker 14>think that's the thing that ribid that costal, that goodwater.

0:39:55.160 --> 0:39:57.680
<v Speaker 14>All the investors that invest in this past round found

0:39:57.920 --> 0:40:00.239
<v Speaker 14>most attractive web aut Slash it's this idea that it's

0:40:01.040 --> 0:40:04.160
<v Speaker 14>over fifty percent of the engineering hours at our company

0:40:04.200 --> 0:40:07.080
<v Speaker 14>are spent actually building internal software to help us be

0:40:07.520 --> 0:40:10.239
<v Speaker 14>much more efficient. So a lot of these tasks that

0:40:10.280 --> 0:40:12.799
<v Speaker 14>the legacy banks or FinTechs that came before us have

0:40:12.920 --> 0:40:16.600
<v Speaker 14>thrown copious headcount acts are just agents automated away at SLASH.

0:40:16.640 --> 0:40:19.240
<v Speaker 14>Everything from parsing documents when somebody is applying for an application,

0:40:19.320 --> 0:40:23.240
<v Speaker 14>or processing disputes, or you know, responding to request information

0:40:23.320 --> 0:40:25.960
<v Speaker 14>from a bank partner. These all these back end tasks

0:40:26.000 --> 0:40:27.600
<v Speaker 14>or agents automated away at SLASH.

0:40:27.840 --> 0:40:30.399
<v Speaker 2>So Victory, you know, kind of as your elevator pitch

0:40:30.480 --> 0:40:32.920
<v Speaker 2>for Slash. Who are the incumbents that you're trying to

0:40:32.960 --> 0:40:35.520
<v Speaker 2>displace in helping us understand like if you were a

0:40:35.560 --> 0:40:38.040
<v Speaker 2>customer Slash how it would work what it is.

0:40:38.040 --> 0:40:41.319
<v Speaker 5>You offer absolutely well.

0:40:41.320 --> 0:40:44.640
<v Speaker 14>And I think a very underappreciated fact is that fintech,

0:40:44.719 --> 0:40:46.960
<v Speaker 14>particularly B to B fintech in the US is extremely

0:40:47.400 --> 0:40:50.880
<v Speaker 14>under penetrated. Less than five percent of businesses in America

0:40:51.200 --> 0:40:53.520
<v Speaker 14>banker spend with a fintech. The vast majority of them

0:40:53.719 --> 0:40:55.840
<v Speaker 14>still use a legacy bank. And the reason our offer

0:40:56.080 --> 0:40:57.960
<v Speaker 14>is resonating so much is quite simple. We live in

0:40:58.000 --> 0:41:01.440
<v Speaker 14>an age where machines can think, where cars can drive themselves.

0:41:01.440 --> 0:41:03.359
<v Speaker 14>But as I mentioned, the vast majority of entrepreneurs are

0:41:03.400 --> 0:41:05.920
<v Speaker 14>still banking with an institution that has an interface, but

0:41:05.960 --> 0:41:08.080
<v Speaker 14>it was last updated in the year two thousand and three.

0:41:08.160 --> 0:41:09.880
<v Speaker 14>Quarter to the Slash thesis is this idea that your

0:41:09.880 --> 0:41:11.640
<v Speaker 14>bank account can do much more for you. It can

0:41:11.680 --> 0:41:13.799
<v Speaker 14>be the place where you invoice your customers, where you

0:41:13.960 --> 0:41:16.440
<v Speaker 14>reimburse your employees for out of pocket expenses, where you

0:41:16.480 --> 0:41:19.360
<v Speaker 14>get insights around how to cut waste, le spend, and

0:41:19.080 --> 0:41:22.759
<v Speaker 14>much much more. We have ambitions to become the most

0:41:22.800 --> 0:41:24.759
<v Speaker 14>popular business banking platform in America, and we're going to

0:41:24.760 --> 0:41:27.600
<v Speaker 14>do it by building a very powerful platform that puts

0:41:27.640 --> 0:41:29.160
<v Speaker 14>a lot of money back on the pockets of our

0:41:29.200 --> 0:41:31.320
<v Speaker 14>customers and gives them back a ton of time.

0:41:32.200 --> 0:41:32.800
<v Speaker 5>Big to cut in.

0:41:32.880 --> 0:41:35.799
<v Speaker 2>Yes, Ceo Slash, it's great to have you on Bloomberg Tech.

0:41:36.280 --> 0:41:38.840
<v Speaker 2>Thank you very much. We're on IPO Watch this week.

0:41:38.960 --> 0:41:40.799
<v Speaker 2>It's not the reason I'm in New York, but we're

0:41:40.840 --> 0:41:45.320
<v Speaker 2>here for it. Shares of Madison Air indicated to open

0:41:45.719 --> 0:41:48.200
<v Speaker 2>thirty thirty one dollars a share, the IPO pricing at

0:41:48.200 --> 0:41:50.799
<v Speaker 2>twenty seven dollars share. We're waiting for trading to begin.

0:41:50.880 --> 0:41:54.239
<v Speaker 2>It's a ventilation and filtration systems company, but it's seeing

0:41:54.280 --> 0:41:57.720
<v Speaker 2>increasing demand for its services amid the boom in data

0:41:57.760 --> 0:42:00.560
<v Speaker 2>center build out set to have. Believe it or not,

0:42:00.680 --> 0:42:04.399
<v Speaker 2>CARO the biggest US IPO of the year so far,

0:42:04.760 --> 0:42:06.520
<v Speaker 2>being fast, risky, brilliant.

0:42:06.600 --> 0:42:09.760
<v Speaker 3>But one on CEO Jill Wyant. I mean she's coming

0:42:09.800 --> 0:42:13.719
<v Speaker 3>on the network later really to talk about from lead

0:42:13.840 --> 0:42:17.160
<v Speaker 3>up the US industrial focus and look, all of these

0:42:17.200 --> 0:42:20.200
<v Speaker 3>companies suddenly de fact are becoming AI companies because there's

0:42:20.200 --> 0:42:22.399
<v Speaker 3>sheer scale of need for infrastructure right now.

0:42:22.440 --> 0:42:24.960
<v Speaker 2>So here's a data point view that kind of explains

0:42:25.000 --> 0:42:27.000
<v Speaker 2>where we are at in the world of AI. This

0:42:27.040 --> 0:42:31.560
<v Speaker 2>will be the biggest US industrial IPO for almost three decades.

0:42:32.320 --> 0:42:34.840
<v Speaker 2>It shows you like the transformation that these kind of

0:42:34.920 --> 0:42:38.640
<v Speaker 2>legacy industries have had. HVAC being one example, but yeah,

0:42:38.680 --> 0:42:40.800
<v Speaker 2>we'll keep an eye on it. Indicated to open thirty

0:42:40.840 --> 0:42:43.239
<v Speaker 2>thirty one dollars a share IPO at twenty seven. There's

0:42:43.239 --> 0:42:43.879
<v Speaker 2>a few others too.

0:42:43.920 --> 0:42:47.680
<v Speaker 3>This week, Ed making HVAC sexy again. That's why he

0:42:47.719 --> 0:42:49.799
<v Speaker 3>does that, does it for this edition of Blomberg Tech,

0:42:49.840 --> 0:42:51.399
<v Speaker 3>And I'm so pleased to go be here for another day.

0:42:51.480 --> 0:42:51.680
<v Speaker 5>Yeah.

0:42:51.719 --> 0:42:53.040
<v Speaker 2>Yeah, We've got a lot going on. It is a

0:42:53.120 --> 0:42:55.880
<v Speaker 2>very busy week. Lots of news in the show, recap

0:42:55.920 --> 0:42:57.920
<v Speaker 2>it on the podcast. You know where to find it.

0:42:57.920 --> 0:43:00.600
<v Speaker 2>It's on iHeart, Spotify and Apple, and it's on the

0:43:00.640 --> 0:43:03.520
<v Speaker 2>Bloomberg terminal and on the Bloomberg platforms. From New York

0:43:03.600 --> 0:43:05.359
<v Speaker 2>City this week, This is Bloomberg Tech