WEBVTT - Shein's IPO and Nvidia's $70M Florida Supercomputer

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news.

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<v Speaker 2>From Mahard where innovation, money and power.

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<v Speaker 3>Collie in Silicon Vallet NBN.

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<v Speaker 4>This is Bloomberg Technology with Caroline Hyde and Ed Ludlow.

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<v Speaker 5>I met Lovelow in San Francisco. Caroline hides off today.

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<v Speaker 5>This is Bloomberg Technology coming up. Shean rethinks an IPO

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<v Speaker 5>in New York with its sites now set on London

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<v Speaker 5>as the fast fashion company faces hurdles in the US. Plus,

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<v Speaker 5>Nvidia's seventy million dollars supercomputer is hobbled in Florida by

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<v Speaker 5>laws preventing top talent from other setting foot in the state.

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<v Speaker 5>We'll bring you the reporting from the ground. And Instagram

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<v Speaker 5>competitor Lapse raises thirty million dollars from investors as it

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<v Speaker 5>looks to provide an alternative social platform to gen z users.

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<v Speaker 5>We'll discuss that and so much more throughout the hour.

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<v Speaker 5>Good morning, this is what your markets look like. We're

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<v Speaker 5>coming out of the tail end of earning season for

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<v Speaker 5>the technology sector and headfirst into a week where economic

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<v Speaker 5>data is front and center. There's been chopping trading on

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<v Speaker 5>a Nasdaq one hundred. We're currently up two tens percent

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<v Speaker 5>yields have been creeping higher. Why we've pared back our

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<v Speaker 5>expectations for what the FED will or won't do with

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<v Speaker 5>a rate cart. You look at US tenure yield four

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<v Speaker 5>point two eight percent, been around four point two nine percent.

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<v Speaker 5>One landmark moment Bitcoin just below fifty seven thousand US

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<v Speaker 5>dollars per token right now. Significant because that took the

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<v Speaker 5>global market for cryptocurrencies to two trillion dollars in market

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<v Speaker 5>cap total. I'm going to show you that chart later

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<v Speaker 5>on in the hour the crescendo of the week twenty

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<v Speaker 5>four hours time when we get PC data. Why because

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<v Speaker 5>I think will inform what the market at least thinks

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<v Speaker 5>is going to do. And of course higher rates we know.

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<v Speaker 5>The story is how that impacts the tech sector. Single

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<v Speaker 5>names we're watching I talked about earning season Zoom up

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<v Speaker 5>four point seven percent, have been much higher, a relatively

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<v Speaker 5>strong outlook for EPs. But they did a share buyback

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<v Speaker 5>one point five billion dollars, a sweetener that investors like

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<v Speaker 5>in Vidia has hit pause on its most recent rallies,

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<v Speaker 5>soft to two tens of one percent. We're about to

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<v Speaker 5>bring you a key story of what's going on with

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<v Speaker 5>Nvidia in Florida and then Google is rebounding. It's up

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<v Speaker 5>three tens and one percent. But there are concerns about

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<v Speaker 5>Gemini and the image generator side of Gemini, and we

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<v Speaker 5>are going to go to one analyst who has put

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<v Speaker 5>those concerns right at the center of their most recent note.

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<v Speaker 5>That is some names that are already trading. What about

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<v Speaker 5>one that we're all waiting on with hurdles affecting its

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<v Speaker 5>potential IPO in the United States, Fast fashion company she

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<v Speaker 5>In is considering switching its listing to overseas. The company,

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<v Speaker 5>which was founded in China and is now headquartered in Singapore,

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<v Speaker 5>is in the early stages of exploring a listing in London.

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<v Speaker 5>As the likelihood of the US SEC approving and IPO dim.

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<v Speaker 5>Sheen is still working on its application for the US,

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<v Speaker 5>which remains its preferred location. That's all according to Bloomberg

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<v Speaker 5>sources and reporting in here with more is Bloomberg's sweater

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<v Speaker 5>Gopinath Sweta A good morning from San Francisco. Good afternoon

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<v Speaker 5>to you in London. This could be big for London's market.

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<v Speaker 6>This could be huge for London's market. The London IPO

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<v Speaker 6>market has been particularly hard hit. The IPO market globally

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<v Speaker 6>has slowed, of course over the past eighteen months or so,

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<v Speaker 6>but the drop in London listings has been really stark.

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<v Speaker 6>Just about a billion, just under a billion in fact,

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<v Speaker 6>was raised all through twenty twenty three here in London.

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<v Speaker 6>So a deal of this size, a listing like Shean

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<v Speaker 6>could be the boost this market has desperately been waiting for.

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<v Speaker 5>Can London even support an IPO of this size? We

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<v Speaker 5>kind of know what the numbers are right that she

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<v Speaker 5>and would be looking at in terms of volume rays valuation.

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<v Speaker 5>I go back to what happened with our in September.

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<v Speaker 5>You know, you have to ask yourself, is the investor

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<v Speaker 5>base there to back a London IPO.

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<v Speaker 6>That is the billion or billions of dollars worth of

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<v Speaker 6>That's the billion dollar question actually, because that's that's the

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<v Speaker 6>obstacle that people say is holding London back. There just

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<v Speaker 6>isn't investor appetite here, particularly for sort of fast growing

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<v Speaker 6>young companies that have unprone business models. Sheen is doing

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<v Speaker 6>very well by most accounts, but there are problems around

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<v Speaker 6>it's so saying that questions about sort of the conternate

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<v Speaker 6>users where it comes from, sort of ethical est concerns

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<v Speaker 6>around that, and also just concerns about how it should

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<v Speaker 6>be valued. They're sort of varying estimates, estimates as for

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<v Speaker 6>all private companies, but more broadly, there's just questions about

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<v Speaker 6>how London fund managers value companies. This is the idea

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<v Speaker 6>that they don't value growth as highly as their US

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<v Speaker 6>counterparts do, which is why we've seen a lot of

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<v Speaker 6>British bond tech companies, including arm as you mentioned, choosing

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<v Speaker 6>New York over London.

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<v Speaker 5>All Right, it is the IPO to watch this year,

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<v Speaker 5>irrespective of where it ends up happening. Bloomberg, Sweat to

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<v Speaker 5>go Op and have great to catch up with you.

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<v Speaker 5>Thank you now. Staying with news out of the UK,

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<v Speaker 5>Sony's PlayStation London, best known for the SingStar series as

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<v Speaker 5>well as multiple virtual reality games, will shut down. Sony's

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<v Speaker 5>also laying off around nine hundred employees, accounting for about

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<v Speaker 5>eight percent of its video game division. The company said

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<v Speaker 5>that the layoffs will affect game makers across three of

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<v Speaker 5>its most successful subsidiaries, Insomniac, the studio behind Spider Man,

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<v Speaker 5>Naughty Dog behind the Last of Us, and Gorilla behind Horizon.

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<v Speaker 5>The news comes after the company reported earlier this month

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<v Speaker 5>that it would be cutting projects. Projection sorry for its

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<v Speaker 5>PlayStation five console. Head of PlayStation Studios Herman Holst said

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<v Speaker 5>in a note to staff Tuesday that the company has

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<v Speaker 5>also decided to cancel several games that were in development. Okay,

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<v Speaker 5>let's turn to none other than in Video. It is

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<v Speaker 5>the stock to watch most days of the week. Florida

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<v Speaker 5>Governor Rondasis initially predicted that a super computer bankrolled by

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<v Speaker 5>billionaire co founder of the chip Giant Chris Malakowski at

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<v Speaker 5>the University of Florida would be a magnet for AI talent.

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<v Speaker 5>But almost four years later, DeSantis's staunch anti China stance

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<v Speaker 5>is preventing some of the most highly skilled AI researchers

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<v Speaker 5>from ever setting foot in the state. Joining us with

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<v Speaker 5>the story is Bloomberg's Michael Smith, and what a story.

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<v Speaker 5>It is one of the most read on all Bloomberg

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<v Speaker 5>platforms this morning. Just explain what's happening here. There is

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<v Speaker 5>a supercomputer in Florida. It includes in Vidia backing and

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<v Speaker 5>Nvidia tech. But that computer is not getting the computer

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<v Speaker 5>scientists it needs to support it.

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<v Speaker 1>Yeah, that's basically it. Basically.

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<v Speaker 7>Last year, Governor DeSantis, as part of his sort of

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<v Speaker 7>campaign against Undo influence by China and the state of

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<v Speaker 7>Florida and in the country backed and heavily supported a

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<v Speaker 7>law that basically the legislature pass that basically prohibits state

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<v Speaker 7>universities in Florida from hiring graduate students PhD students from China,

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<v Speaker 7>Irran and five other countries of concern as they call them.

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<v Speaker 7>They just basically cannot bring them over to study and

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<v Speaker 7>perform research in any field, including AI. So that's really

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<v Speaker 7>put a hamper on what the University of Florida does.

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<v Speaker 7>And Nvidia comes in because a few years ago they

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<v Speaker 7>built what's called the Hypergator AI. It's the world's fastest

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<v Speaker 7>supercomputer on a college campus. And Chris Malakowski, who's an

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<v Speaker 7>alumni alumni he went to the University of Florida, basically

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<v Speaker 7>paid for it in conjunction with Navidia and the university

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<v Speaker 7>kicking some money. So they got this amazing seventy million

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<v Speaker 7>dollar computer, but they have a shortage of top talent

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<v Speaker 7>researchers to take advantage of it. So that's really putting

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<v Speaker 7>a hamper on what they want to do in Florida

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<v Speaker 7>with AI.

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<v Speaker 5>Mike I just point out for our audience that in

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<v Speaker 5>Nvidia declined to comment for your story, but I did

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<v Speaker 5>speak two weeks ago with Nvidia's CEO, Jensen Huang, and

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<v Speaker 5>on the issue of China, this is what he had

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<v Speaker 5>to say.

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<v Speaker 8>Have listen, we have to comply with American policies and

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<v Speaker 8>whatever the rules and regulations are, and the laws.

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<v Speaker 1>Are well number one, comply with that.

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<v Speaker 8>Our goal or in the United States would love to

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<v Speaker 8>see us be a successful country in one of the

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<v Speaker 8>pillars of national security of successful industries.

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<v Speaker 5>So the Nvidia side of the story is pretty clear, right,

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<v Speaker 5>we comply with the rules and regulations of the country

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<v Speaker 5>we're from, and they want America to be the most

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<v Speaker 5>competitive source of AI talent and operation go to run

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<v Speaker 5>the CENSUSUS side of this. In Florida's side of this,

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<v Speaker 5>what is the concern that they have in letting in

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<v Speaker 5>talent from overseas working in the field of artificial intelligence.

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<v Speaker 1>Well, Desantas has made this a big talking point.

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<v Speaker 7>If you will, uh he believes that or he says

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<v Speaker 7>that there's you know, you have to worry about Chinese

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<v Speaker 7>interests purchasing land.

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<v Speaker 1>For example, uh or or or you know, or getting.

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<v Speaker 7>Access to technology via universities because they might be basically

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<v Speaker 7>spying on behalf of the Chinese military, the government, or

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<v Speaker 7>even Chinese industry and stealing secrets.

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<v Speaker 1>Et cetera.

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<v Speaker 7>So in the case of and the law that he

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<v Speaker 7>passed covered all those areas, but a big focus is

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<v Speaker 7>the university side of it. So he they basically passed

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<v Speaker 7>this law saying, you know, major restrictions on bringing in

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<v Speaker 7>talent researchers from China, and he's really latching onto something

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<v Speaker 7>that's happened in the United States and other countries. For example,

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<v Speaker 7>the Trump administration issued a proclamation that allowed that ordered

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<v Speaker 7>the State Department to reject the visa of any aspiring

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<v Speaker 7>PhD student from China and several other countries who were

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<v Speaker 7>suspected of having any ties with the military or the

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<v Speaker 7>government in China. And they've been doing that, and the

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<v Speaker 7>Biden administration has continued that. I mean, they rejected one

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<v Speaker 7>year that we know almost two thousand students were not

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<v Speaker 7>allowed to get visas to come and be PhD researchers

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<v Speaker 7>in the technology fields. But the Florida law is probably

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<v Speaker 7>the most draconian the way because it absolutely puts an

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<v Speaker 7>end to it makes it impossible for professors to bring

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<v Speaker 7>in talent from China and Iran. That's another key market

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<v Speaker 7>for top AI talent in the world. Iranian PhD students.

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<v Speaker 7>Last year they just the University of Florida, that's the

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<v Speaker 7>flagship university where the hypergata is actually based, brought one

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<v Speaker 7>thousand students from the seven countries of concern, principally China

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<v Speaker 7>that are listening to this law that are now banned.

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<v Speaker 1>So this year. Last year they.

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<v Speaker 7>Brought in a thousand this year zero. If you talk

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<v Speaker 7>to professors, they say that this is really hampering their

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<v Speaker 7>ability to do cutting edge research.

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<v Speaker 5>Bloombers Michael Smith with a very important piece of reporting,

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<v Speaker 5>very well read on all bloombo platforms this morning. Thank you. Okay,

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<v Speaker 5>time for some news and talking tech. First off, Ali

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<v Speaker 5>Barber leading the largest single financing round for a Chinese

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<v Speaker 5>AI startup. The one billion dollar funding round is the

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<v Speaker 5>latest in a string of sizable investments that suggest the

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<v Speaker 5>e Commace firm is deploying capital in the hunt for growth.

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<v Speaker 5>Founded last March, moonshot Ai is among the better known

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<v Speaker 5>startups developing generative AI in China, hoping to eventually match

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<v Speaker 5>the likes of open Ai and Google Plus. Exodigo, a

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<v Speaker 5>startup that uses artificial intelligence and sensors to map the underground,

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<v Speaker 5>closed a one hundred and five million dollar funding round

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<v Speaker 5>led by Greenfield Partners and ZEV Ventures. Established in June

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<v Speaker 5>twenty twenty one. The company makes underground maps used by

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<v Speaker 5>some of the world's largest energy, utility, transportation, and construction companies,

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<v Speaker 5>and intense I has raised sixty four million dollars in

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<v Speaker 5>a funding round led by light Speed Venture Partners to

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<v Speaker 5>develop AI that can detect and help fix potential hazards

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<v Speaker 5>in the workplace. The company says it can help save

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<v Speaker 5>lives and reduce economic losses from millions of accidents every year.

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<v Speaker 5>The New York based startup's latest financing takes its total

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<v Speaker 5>funding to about ninety million dollars to date. Okay, let's

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<v Speaker 5>stick with AI the big story. Google plans to bring

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<v Speaker 5>back its AI feature that generates images of people in

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<v Speaker 5>quote the next couple of weeks. That, according to the

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<v Speaker 5>company's top AI executive, Google's Google Gemini's image generator has

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<v Speaker 5>been paused since last week due to criticism over inaccurate

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<v Speaker 5>historical depictions of race. A recent note from Mellis Research

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<v Speaker 5>says that quote the issue for the stock is not

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<v Speaker 5>the debate itself. It is the perception of truth behind

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<v Speaker 5>the brand. Here to explain that quote is the man

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<v Speaker 5>behind the research, Ben writes, his managing director and head

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<v Speaker 5>of technology research at Melius. I spotted this across the

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<v Speaker 5>Bloomberg terminal. It hit my inbox. And what you're referring to,

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<v Speaker 5>I think is the debate that's happening on social media,

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<v Speaker 5>all kinds of people weighing in about the risk of

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<v Speaker 5>Google getting it wrong with Gemini. Is that right?

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<v Speaker 3>Yeah?

0:13:34.400 --> 0:13:36.800
<v Speaker 9>I think that you want to make sure they don't

0:13:36.840 --> 0:13:40.559
<v Speaker 9>have a bud light moment, and we're not sure yet.

0:13:41.400 --> 0:13:44.199
<v Speaker 9>I don't want to weigh in on the merits of

0:13:44.640 --> 0:13:45.960
<v Speaker 9>what they did or the debate.

0:13:46.240 --> 0:13:47.360
<v Speaker 3>It's just real simple.

0:13:47.920 --> 0:13:49.000
<v Speaker 1>When you alienate a.

0:13:48.960 --> 0:13:51.439
<v Speaker 9>Part of the population and they believe that you may

0:13:51.480 --> 0:13:54.200
<v Speaker 9>not be a source of truth, that's not good for

0:13:54.320 --> 0:13:56.280
<v Speaker 9>business in their business.

0:13:56.600 --> 0:14:00.199
<v Speaker 3>And they did that, and they need to fix it, and.

0:14:00.160 --> 0:14:04.240
<v Speaker 9>They need to start getting these launches tighter too. You

0:14:04.280 --> 0:14:10.120
<v Speaker 9>can't put out a product that's not ready and shows ideology.

0:14:09.600 --> 0:14:11.000
<v Speaker 3>So it's tough.

0:14:11.440 --> 0:14:14.800
<v Speaker 9>We believe we're at a once in a lifetime crossroads

0:14:14.840 --> 0:14:19.360
<v Speaker 9>here where search is going to hand off to AI

0:14:19.680 --> 0:14:22.120
<v Speaker 9>features and if they're not a source of trust, that's

0:14:22.160 --> 0:14:27.080
<v Speaker 9>a big deal and we're surprised investors or even taking it.

0:14:27.360 --> 0:14:28.480
<v Speaker 3>You know this.

0:14:28.680 --> 0:14:32.160
<v Speaker 5>Calmly, and when you cover this stock, I'm assuming that

0:14:32.320 --> 0:14:36.360
<v Speaker 5>historically you focused on it as an advertising business. We're

0:14:36.360 --> 0:14:39.800
<v Speaker 5>going to show Google's response to what's happening on your

0:14:39.840 --> 0:14:42.720
<v Speaker 5>screen right now. But how have you had to adapt

0:14:43.200 --> 0:14:47.200
<v Speaker 5>your modeling an analysis of this company given the kind

0:14:47.240 --> 0:14:50.240
<v Speaker 5>of shift over in focus to artificial intelligence.

0:14:51.520 --> 0:14:55.200
<v Speaker 9>Well, we listen, We do the best we can. The

0:14:55.760 --> 0:14:59.040
<v Speaker 9>issue there's not any guidance, of course from the company,

0:14:59.040 --> 0:15:03.640
<v Speaker 9>which is their style, but the issue here, you know,

0:15:04.000 --> 0:15:06.560
<v Speaker 9>you've seen from Gartner that they believe twenty five percent

0:15:06.720 --> 0:15:09.080
<v Speaker 9>of traditional search is going away in a few years

0:15:09.400 --> 0:15:12.480
<v Speaker 9>to be cannibalized by AI search. Not really sure how

0:15:12.480 --> 0:15:16.080
<v Speaker 9>it got there. What we do know is search should

0:15:16.200 --> 0:15:20.000
<v Speaker 9>change due to AI. Google has already basically told you

0:15:20.040 --> 0:15:23.000
<v Speaker 9>that with their search generative experience where it's kind of

0:15:23.000 --> 0:15:27.240
<v Speaker 9>a hybrid. We think that there's upstarts such as Perplexity

0:15:27.280 --> 0:15:29.480
<v Speaker 9>AI and whatever open AI is going to do that

0:15:29.560 --> 0:15:31.440
<v Speaker 9>are going to get a good look from a lot

0:15:31.440 --> 0:15:34.400
<v Speaker 9>of younger consumers that may change their habits as we.

0:15:34.480 --> 0:15:35.440
<v Speaker 3>Enter in AI world.

0:15:36.240 --> 0:15:40.520
<v Speaker 5>One individual who is paying close attention to the Gemini

0:15:40.520 --> 0:15:44.200
<v Speaker 5>situation is Elon Musk. He's posted a lot on his

0:15:44.360 --> 0:15:46.840
<v Speaker 5>platform X in the last forty eight hours. This is

0:15:46.840 --> 0:15:48.880
<v Speaker 5>the first line of something that caught my eye. Given

0:15:48.880 --> 0:15:52.080
<v Speaker 5>that GEMINIAI will be at the heart of every Google

0:15:52.120 --> 0:15:55.840
<v Speaker 5>product and YouTube, this is extremely allarmy. It kind of

0:15:55.840 --> 0:15:59.040
<v Speaker 5>speaks to the point that you just made, Ben, how

0:15:59.080 --> 0:16:02.320
<v Speaker 5>big a risk fact is it to Alphabet, the parent

0:16:02.360 --> 0:16:06.120
<v Speaker 5>of Google, that Elon Musk clearly is focused on this

0:16:06.640 --> 0:16:09.640
<v Speaker 5>and is keeping it in the public consciousness for the

0:16:09.680 --> 0:16:10.200
<v Speaker 5>time being.

0:16:11.320 --> 0:16:12.080
<v Speaker 3>Well, it's not good.

0:16:12.080 --> 0:16:15.920
<v Speaker 9>And Elon as is well chronicled on why he could

0:16:15.920 --> 0:16:19.400
<v Speaker 9>be upset as well with what happened when the model

0:16:19.720 --> 0:16:24.560
<v Speaker 9>asked questions about him versus some unsavory You know, gentlemen,

0:16:25.120 --> 0:16:29.880
<v Speaker 9>the issue here is Elon does have a big microphone.

0:16:29.920 --> 0:16:32.400
<v Speaker 9>And like I said, I mean again, I don't want

0:16:32.400 --> 0:16:34.280
<v Speaker 9>to weigh in on the merits of the debate or

0:16:34.320 --> 0:16:38.240
<v Speaker 9>what was potentially done, but you you know, they're in

0:16:38.280 --> 0:16:42.520
<v Speaker 9>a business of trust of information and that has been

0:16:42.680 --> 0:16:47.640
<v Speaker 9>rattled and I think that Elon has a big microphone,

0:16:47.880 --> 0:16:51.960
<v Speaker 9>and obviously with his platform of X which he controls.

0:16:52.440 --> 0:16:54.400
<v Speaker 9>So you know, we've been keeping track of a lot

0:16:54.440 --> 0:16:57.080
<v Speaker 9>of the fodder on it and we'll see if that

0:16:57.120 --> 0:16:59.760
<v Speaker 9>has an impact. But the average consumer doesn't know the

0:16:59.760 --> 0:17:02.960
<v Speaker 9>differ between you know, a lot of the different products too,

0:17:03.080 --> 0:17:05.359
<v Speaker 9>so they see lack of truth in one thing, they

0:17:05.400 --> 0:17:07.200
<v Speaker 9>might think there's lack of truth in another thing.

0:17:08.520 --> 0:17:12.440
<v Speaker 5>All right, Melia's Research Managing Director and head of Technology Research,

0:17:12.520 --> 0:17:14.800
<v Speaker 5>Ben Wrights. This and Google. We was rebounding today. Now

0:17:14.800 --> 0:17:17.920
<v Speaker 5>coming up from the show, GitHub making co pilot enterprise

0:17:18.000 --> 0:17:22.000
<v Speaker 5>and AI offering that helps streamline code navigation and comprehension

0:17:22.040 --> 0:17:24.880
<v Speaker 5>and available for just thirty nine dollars per user per month.

0:17:24.920 --> 0:17:27.320
<v Speaker 5>We speak to GitHub ceo coming up next. We're going

0:17:27.359 --> 0:17:28.919
<v Speaker 5>to take a short break. We'll be right back. This

0:17:28.960 --> 0:17:50.119
<v Speaker 5>is Bloomberg Technology, all right. Today gethub and AI powered

0:17:50.119 --> 0:17:55.000
<v Speaker 5>Developer platform is making GitHub Copilot Enterprise available to every

0:17:55.080 --> 0:17:58.880
<v Speaker 5>organization for just thirty nine dollars per user per month.

0:17:58.960 --> 0:18:02.359
<v Speaker 5>The AI offering is per personalized for each organization, making

0:18:02.400 --> 0:18:06.159
<v Speaker 5>it possible to streamline code navigation and comprehension. Here with

0:18:06.240 --> 0:18:09.560
<v Speaker 5>more GitHub ceo Thomas Donkey and Thomas good morning to you.

0:18:09.920 --> 0:18:12.600
<v Speaker 5>I guess if you're a novice coder like me, or

0:18:12.600 --> 0:18:17.399
<v Speaker 5>you're a veteran. This is a useful application, and I

0:18:17.440 --> 0:18:20.840
<v Speaker 5>guess you're targeting those two very different end markets.

0:18:21.600 --> 0:18:22.480
<v Speaker 3>Yeah, absolutely No.

0:18:22.640 --> 0:18:24.280
<v Speaker 4>Ed what we have seen in the last years that

0:18:24.359 --> 0:18:27.639
<v Speaker 4>companies no longer just look at digital transformation, they're actually

0:18:27.640 --> 0:18:30.560
<v Speaker 4>looking into the AI transformation and get a Core.

0:18:30.600 --> 0:18:32.680
<v Speaker 3>Pilot started it all by giving.

0:18:32.480 --> 0:18:37.040
<v Speaker 4>Developers AI based order suggestions, not order completion in the editor,

0:18:37.640 --> 0:18:41.360
<v Speaker 4>and with Corpolate, enterprises can now be customized for all

0:18:41.400 --> 0:18:44.960
<v Speaker 4>the internal knowledge of an organization, the code based Imagine

0:18:45.000 --> 0:18:46.920
<v Speaker 4>you now you're a new developer at Bloomberg TV.

0:18:47.240 --> 0:18:50.439
<v Speaker 3>It's your first day, and you can just ask corpilot.

0:18:50.080 --> 0:18:52.760
<v Speaker 4>Holl things I don't have Bloomberg all the instant intutional

0:18:52.880 --> 0:18:54.399
<v Speaker 4>knowledge at your fingertips.

0:18:54.800 --> 0:18:57.320
<v Speaker 5>A part of this in some of the similar tools

0:18:57.320 --> 0:18:59.880
<v Speaker 5>I've seen, is kind of the predictive nature. Right, You're right,

0:19:00.080 --> 0:19:03.840
<v Speaker 5>a line of code and the rest is auto completed.

0:19:04.440 --> 0:19:07.840
<v Speaker 5>What is the performance and competence level of your technology

0:19:08.520 --> 0:19:12.040
<v Speaker 5>vis a v a veteran coder who could write it themselves.

0:19:12.720 --> 0:19:15.920
<v Speaker 3>You know, it actually depends on what you're doing yourself.

0:19:16.000 --> 0:19:18.400
<v Speaker 4>You see a lot of developers are learning to use

0:19:18.440 --> 0:19:21.440
<v Speaker 4>Core Pilot while typing code. You know, you figure out

0:19:22.040 --> 0:19:24.040
<v Speaker 4>when you write a couple of characters in.

0:19:24.000 --> 0:19:26.240
<v Speaker 3>Your editor that if you if you do it in.

0:19:26.240 --> 0:19:29.320
<v Speaker 4>A certain way, you get a better suggestion, you get

0:19:29.359 --> 0:19:33.080
<v Speaker 4>a better answer. And so developers increase their proficiency level

0:19:33.400 --> 0:19:35.840
<v Speaker 4>as they're using core Pilot. We see that they're getting

0:19:35.920 --> 0:19:39.119
<v Speaker 4>more productive, you know, up to fifty five percent in

0:19:39.200 --> 0:19:43.720
<v Speaker 4>case studies that we have blended NBSC developers actually be measurable,

0:19:44.119 --> 0:19:46.280
<v Speaker 4>more more fulfilled, more happy.

0:19:47.720 --> 0:19:51.240
<v Speaker 5>Thomas Microsoft, You your parent company, was pretty stoked about

0:19:51.640 --> 0:19:55.080
<v Speaker 5>the base version of co Pilot. Do you think thirty

0:19:55.160 --> 0:19:58.720
<v Speaker 5>nine dollars a month will will see the enterprise version

0:19:58.760 --> 0:19:59.359
<v Speaker 5>gain traction?

0:20:00.040 --> 0:20:00.639
<v Speaker 3>Absolutely?

0:20:00.680 --> 0:20:03.000
<v Speaker 4>You know, the attraction that we have seen over the

0:20:03.080 --> 0:20:05.760
<v Speaker 4>last year has been phenomenal. We have over fifty thousand

0:20:05.880 --> 0:20:09.359
<v Speaker 4>organizations already on board to copilot, more than one point

0:20:09.359 --> 0:20:12.720
<v Speaker 4>three million paid users, and we see a lot of

0:20:12.800 --> 0:20:16.320
<v Speaker 4>excitement from all kinds of industries. It's no longer just

0:20:16.400 --> 0:20:19.439
<v Speaker 4>the cool startups and the tech companies. It's it's you know,

0:20:19.480 --> 0:20:24.240
<v Speaker 4>pharmaceutical companies, automotive companies, lots of financial services institution, the

0:20:24.280 --> 0:20:27.520
<v Speaker 4>global system, and the greaters like Accentia, and so we

0:20:27.600 --> 0:20:30.639
<v Speaker 4>see tremendous excitement there. We have run the preview of

0:20:30.720 --> 0:20:34.520
<v Speaker 4>Coporate Enterprise for the last three months and receive feedback

0:20:34.560 --> 0:20:38.280
<v Speaker 4>from companies like Pigma Shopping fire Fellows telling us that

0:20:38.400 --> 0:20:41.240
<v Speaker 4>the collaboration is getting so much better if coplat knows

0:20:41.280 --> 0:20:43.000
<v Speaker 4>about what's happening within the company.

0:20:44.040 --> 0:20:46.680
<v Speaker 5>Bloomberg reported earlier this month that Apple is looking to

0:20:46.680 --> 0:20:50.040
<v Speaker 5>see something very similar with x code, you know, a

0:20:50.160 --> 0:20:52.560
<v Speaker 5>very similar tool. What do you make of that?

0:20:52.800 --> 0:20:53.000
<v Speaker 6>You know?

0:20:53.119 --> 0:20:56.880
<v Speaker 5>Clearly this is becoming a battleground the use of generative

0:20:56.880 --> 0:20:58.920
<v Speaker 5>AI within the writing of code.

0:20:59.200 --> 0:21:00.959
<v Speaker 4>You know, I think as a developer, this is the

0:21:01.000 --> 0:21:03.800
<v Speaker 4>most exciting era that I have seen over the last

0:21:03.840 --> 0:21:07.120
<v Speaker 4>thirty years, where all these companies, including Microsoft and get

0:21:07.200 --> 0:21:10.080
<v Speaker 4>up are working to make develop us more productive, to

0:21:10.760 --> 0:21:13.280
<v Speaker 4>have them focus on the things they love doing and

0:21:13.400 --> 0:21:15.680
<v Speaker 4>have AI help them with the things that they don't

0:21:15.720 --> 0:21:18.080
<v Speaker 4>love to do. Right, this is exciting for developers to

0:21:18.200 --> 0:21:21.200
<v Speaker 4>work load. The amount of code that develops have to

0:21:21.240 --> 0:21:24.119
<v Speaker 4>manage today is so big that we really need to

0:21:24.160 --> 0:21:25.240
<v Speaker 4>bring the effort.

0:21:24.920 --> 0:21:27.400
<v Speaker 3>Down of doing.

0:21:26.440 --> 0:21:29.600
<v Speaker 4>All this work, maintaining all this legacy code, code that

0:21:29.760 --> 0:21:32.440
<v Speaker 4>lasts back you know, until the nineteen sixties with Cobal

0:21:33.119 --> 0:21:34.920
<v Speaker 4>and for to one and other languages that are still

0:21:35.000 --> 0:21:36.240
<v Speaker 4>running in our production system.

0:21:36.280 --> 0:21:37.760
<v Speaker 3>So it's really exciting.

0:21:38.040 --> 0:21:40.600
<v Speaker 4>You don't see all the innovation, and we hope we

0:21:40.680 --> 0:21:41.439
<v Speaker 4>stay at the.

0:21:41.440 --> 0:21:42.080
<v Speaker 3>Forefront of this.

0:21:42.760 --> 0:21:45.920
<v Speaker 5>It's going to make hackathons interesting. Gehub CEO Thomas steine

0:21:45.960 --> 0:21:47.879
<v Speaker 5>Key get to catch up with you. Thank you for

0:21:47.920 --> 0:21:51.160
<v Speaker 5>your sign Now coming up, Canadate introduces an online safety law.

0:21:51.320 --> 0:21:54.800
<v Speaker 5>It's the whole social media. Companies responsible for harmful content

0:21:54.840 --> 0:22:09.280
<v Speaker 5>will bring you those deeds. Next, this is Bloomberg. Welcome

0:22:09.280 --> 0:22:12.240
<v Speaker 5>back to Bloomberg Technology, Ed Ludlow Here in San Francisco.

0:22:12.240 --> 0:22:14.720
<v Speaker 5>You can see behind me Microsoft down around half a

0:22:14.760 --> 0:22:17.199
<v Speaker 5>percentage point, but that does make it the biggest points

0:22:17.280 --> 0:22:20.879
<v Speaker 5>drag on the Nasdaq one hundred. A lot of reporting

0:22:20.920 --> 0:22:23.399
<v Speaker 5>in recent a lot of reporting for the last twelve

0:22:23.400 --> 0:22:26.600
<v Speaker 5>months about Microsoft's efforts in AI, but this one story

0:22:26.640 --> 0:22:30.920
<v Speaker 5>seems to be relevant. Microsoft's investment into AI startup Mistrel

0:22:31.280 --> 0:22:34.560
<v Speaker 5>is facing scrutiny in the EU, A day after the

0:22:34.600 --> 0:22:39.159
<v Speaker 5>company announced a strategic partnership that includes making the startup's

0:22:39.240 --> 0:22:43.800
<v Speaker 5>latest AI models available to customers of Microsoft's Azure Cloud.

0:22:43.800 --> 0:22:46.480
<v Speaker 5>I want to go out to London and Bloomberg's Mark Bergen.

0:22:47.119 --> 0:22:51.400
<v Speaker 5>We know very clearly the relationship between Microsoft and open Ai.

0:22:52.119 --> 0:22:55.800
<v Speaker 5>So now they're making a relationship with Mistral, and very

0:22:55.880 --> 0:22:59.040
<v Speaker 5>quickly the EU wants to look at it. What do we.

0:22:59.040 --> 0:23:02.600
<v Speaker 10>Know, Yeah, this is effectively what we know.

0:23:02.720 --> 0:23:04.639
<v Speaker 2>I mean, we know that the relations to the numbers

0:23:04.640 --> 0:23:05.359
<v Speaker 2>are very different.

0:23:05.440 --> 0:23:05.560
<v Speaker 9>Right.

0:23:05.600 --> 0:23:08.040
<v Speaker 10>So Microsoft has put it up to about thirteen billion

0:23:08.080 --> 0:23:12.199
<v Speaker 10>into open ai, largest financial backer, largest partner for a

0:23:12.240 --> 0:23:15.640
<v Speaker 10>number of years since is twenty nineteen. The Mistral partnership

0:23:15.680 --> 0:23:19.720
<v Speaker 10>includes from Microsoft's and they've told this a fifteen million

0:23:20.359 --> 0:23:23.639
<v Speaker 10>dollar investment, so I think actually fifteen million euro sorry,

0:23:23.640 --> 0:23:28.320
<v Speaker 10>so pretty small, certainly relative to their share and open Ai.

0:23:28.640 --> 0:23:31.119
<v Speaker 2>This is for both sides, you know. For Mistrel, this

0:23:31.680 --> 0:23:32.240
<v Speaker 2>makes them the.

0:23:32.320 --> 0:23:35.919
<v Speaker 10>Second company after open Ai to have their language models

0:23:35.960 --> 0:23:40.119
<v Speaker 10>available for customers on Microsoft's Azure cloud. And so this

0:23:40.280 --> 0:23:43.240
<v Speaker 10>is for them, you know, they've been there French so

0:23:43.320 --> 0:23:46.479
<v Speaker 10>far they've been well pretty relegated, I say, to Europe.

0:23:46.480 --> 0:23:48.879
<v Speaker 10>But this certainly gives them a much bigger potential to

0:23:48.880 --> 0:23:51.439
<v Speaker 10>have a global reach. And for Microsoft, they can go

0:23:51.480 --> 0:23:54.399
<v Speaker 10>out to regulators and say, look, we are not just

0:23:54.440 --> 0:23:57.200
<v Speaker 10>tied to open Ai. We have a partnership with this

0:23:57.680 --> 0:24:01.200
<v Speaker 10>French and European Championship that is using open source, which

0:24:01.240 --> 0:24:02.880
<v Speaker 10>is one of the things that the Microsoft has talked

0:24:02.920 --> 0:24:04.240
<v Speaker 10>a lot about champion recently.

0:24:05.440 --> 0:24:08.919
<v Speaker 5>We had EU Competition Commissioner Margareta invest there here in

0:24:09.080 --> 0:24:11.520
<v Speaker 5>SF a few weeks ago, and when I sat down

0:24:11.520 --> 0:24:13.840
<v Speaker 5>with her, she explained, we're basically going to look at

0:24:13.880 --> 0:24:18.439
<v Speaker 5>the entire industry for AI and understand what's happening. And

0:24:18.440 --> 0:24:20.359
<v Speaker 5>then I think back to how do things normally go

0:24:20.440 --> 0:24:22.960
<v Speaker 5>in Europe? They look at things all the time. I

0:24:22.960 --> 0:24:26.000
<v Speaker 5>think our understanding is that the commission got a copy

0:24:26.040 --> 0:24:30.360
<v Speaker 5>of the agreement between the two parties, miss Strau and Microsoft.

0:24:31.240 --> 0:24:33.960
<v Speaker 5>What happens next, you know, do they face a serious

0:24:34.000 --> 0:24:36.760
<v Speaker 5>probe or a problem?

0:24:37.320 --> 0:24:40.359
<v Speaker 10>A certainly it's probably more pressure on Microsoft's and right

0:24:40.400 --> 0:24:42.720
<v Speaker 10>they're facing a lot of they're facing a prober and

0:24:42.720 --> 0:24:45.679
<v Speaker 10>their own partnership with open Ai. They're sort of the

0:24:45.840 --> 0:24:48.560
<v Speaker 10>poster child for what has happened in the past two years.

0:24:48.600 --> 0:24:51.760
<v Speaker 10>Is this relationship between these big tech companies that have

0:24:51.880 --> 0:24:57.040
<v Speaker 10>in Microsoft, Google, Amazon, We've seeing Salesforce and Video Intel

0:24:57.600 --> 0:25:00.399
<v Speaker 10>and make these pretty large, substantial investments in the generative

0:25:00.400 --> 0:25:03.080
<v Speaker 10>AI companies. On the other side, the flip side that

0:25:03.160 --> 0:25:06.280
<v Speaker 10>comes with sort of a strings attached where they're going

0:25:06.320 --> 0:25:09.960
<v Speaker 10>to be using. In this case, Mistrel is using Microsoft's cloud.

0:25:10.240 --> 0:25:13.480
<v Speaker 10>Open AI is using Microsoft's cloud. Google's investments are going

0:25:13.480 --> 0:25:15.640
<v Speaker 10>back and using their cloud, and I think that's sort

0:25:15.640 --> 0:25:18.720
<v Speaker 10>of that's certainly what regulators have been talking about is

0:25:18.800 --> 0:25:20.200
<v Speaker 10>unpacking those relationships.

0:25:21.000 --> 0:25:23.720
<v Speaker 2>And I think, you know, going forward, Mustrell.

0:25:23.400 --> 0:25:26.000
<v Speaker 10>Is in a really interesting position because they are and

0:25:26.080 --> 0:25:30.280
<v Speaker 10>have been this champion in France making the argument that

0:25:30.320 --> 0:25:33.320
<v Speaker 10>Europe needs a strong open A player, and so I

0:25:33.359 --> 0:25:36.760
<v Speaker 10>think for a lot of in Europe, I think scrutinizing

0:25:36.800 --> 0:25:39.480
<v Speaker 10>a company like Maestrol won't be the same as going

0:25:39.520 --> 0:25:41.600
<v Speaker 10>after some of these big tech companies from the US.

0:25:42.480 --> 0:25:45.359
<v Speaker 5>Right Indice monk Bergen out of London, thank you very much. Meanwhile,

0:25:45.400 --> 0:25:49.520
<v Speaker 5>in Canada, Prime Minister Justin Trudeau's government introduced an online

0:25:49.560 --> 0:25:54.120
<v Speaker 5>safety law, joining European countries in trying to compel internet

0:25:54.160 --> 0:25:59.280
<v Speaker 5>companies to actively regulate and remove harmful content. With us

0:25:59.280 --> 0:26:03.280
<v Speaker 5>to discuss is actually Casavan managing director of the International

0:26:03.320 --> 0:26:08.160
<v Speaker 5>Association of Privacy Professionals AI Governance Center. We've been talking

0:26:08.160 --> 0:26:11.400
<v Speaker 5>about this in recent weeks. It is happening all over

0:26:11.440 --> 0:26:14.120
<v Speaker 5>the world. In the US, we're in an election cycle

0:26:14.760 --> 0:26:18.440
<v Speaker 5>where we're worried about the moderation of content online. First

0:26:18.440 --> 0:26:21.760
<v Speaker 5>of all, your reaction to what Canada has done and

0:26:21.840 --> 0:26:23.280
<v Speaker 5>how effective you think it will be.

0:26:25.280 --> 0:26:28.320
<v Speaker 11>Yeah, I think it's another in a series, as you said,

0:26:28.359 --> 0:26:31.359
<v Speaker 11>of countries that are really thinking about the implications of

0:26:31.480 --> 0:26:35.280
<v Speaker 11>online harms, especially for children. So we've seen this play

0:26:35.320 --> 0:26:38.720
<v Speaker 11>out in the US context recently with the conversations related

0:26:38.760 --> 0:26:43.359
<v Speaker 11>to Coosa and Copper, and as you mentioned, really matching

0:26:43.359 --> 0:26:47.040
<v Speaker 11>what's happening in the European context. I think it's a

0:26:47.080 --> 0:26:50.639
<v Speaker 11>positive step forward. These were commitments that were made a

0:26:50.680 --> 0:26:54.200
<v Speaker 11>long time ago by the Trudeau government and so really

0:26:54.240 --> 0:26:59.360
<v Speaker 11>happy to see that this joins other online bills both internationally,

0:26:59.600 --> 0:27:02.720
<v Speaker 11>but then also to match the Digital Charter Implementation Act

0:27:02.760 --> 0:27:03.280
<v Speaker 11>in Canada.

0:27:04.760 --> 0:27:10.040
<v Speaker 5>The Internet is the Internet, it is everywhere, it is global,

0:27:10.080 --> 0:27:13.240
<v Speaker 5>it's now in space, and every day we're talking about

0:27:13.240 --> 0:27:16.080
<v Speaker 5>a different country. At some point, do you think that

0:27:16.920 --> 0:27:19.320
<v Speaker 5>everyone should just get together and have a common set

0:27:19.359 --> 0:27:21.920
<v Speaker 5>of rules or is that a naive position to take.

0:27:23.200 --> 0:27:23.760
<v Speaker 3>I don't think so.

0:27:23.840 --> 0:27:26.280
<v Speaker 11>I think that's actually exactly the question that the play

0:27:26.359 --> 0:27:29.879
<v Speaker 11>right now by a lot of international organizations like the

0:27:29.920 --> 0:27:32.879
<v Speaker 11>g seven, like the OECD, like the World Economic Forum,

0:27:33.640 --> 0:27:36.760
<v Speaker 11>like the UN are really thinking about their position and

0:27:36.960 --> 0:27:41.800
<v Speaker 11>conveners of countries. How do we think about these digital

0:27:41.840 --> 0:27:47.119
<v Speaker 11>implications and rules for guardrails for those digital services in

0:27:47.160 --> 0:27:50.960
<v Speaker 11>a combined way. One of the challenges, I think is

0:27:51.320 --> 0:27:54.000
<v Speaker 11>the different trade offs and values that you have between

0:27:54.480 --> 0:27:57.640
<v Speaker 11>different nations, but you also have things like data transfer

0:27:57.720 --> 0:28:01.360
<v Speaker 11>issues when you're thinking about more of the national implications,

0:28:01.359 --> 0:28:03.320
<v Speaker 11>and so how all of this is actually going to

0:28:03.400 --> 0:28:06.960
<v Speaker 11>play out in an international space I think.

0:28:08.760 --> 0:28:09.840
<v Speaker 1>Remains to be seen.

0:28:11.840 --> 0:28:14.840
<v Speaker 5>Actually for the platforms of the tech companies, there is

0:28:14.880 --> 0:28:21.159
<v Speaker 5>a policy consideration and then there's a technology consideration. Is

0:28:21.200 --> 0:28:23.879
<v Speaker 5>there any one social media platform or company that you

0:28:23.960 --> 0:28:26.840
<v Speaker 5>think is doing a good job of their own volition

0:28:27.080 --> 0:28:28.120
<v Speaker 5>to moderate content.

0:28:30.240 --> 0:28:33.439
<v Speaker 11>We are a policy neutral organization, so I won't speak

0:28:33.480 --> 0:28:37.879
<v Speaker 11>to one organization over the other. But I think that

0:28:37.920 --> 0:28:40.080
<v Speaker 11>we can start to see some best practices that are

0:28:40.120 --> 0:28:43.720
<v Speaker 11>emerging in different types of use cases, where we're thinking

0:28:43.880 --> 0:28:49.200
<v Speaker 11>again about rules around children's safety, making sure that there

0:28:49.200 --> 0:28:51.640
<v Speaker 11>are certain types of parental controls that are in place,

0:28:52.320 --> 0:28:55.320
<v Speaker 11>making sure that we're even seeing where there's alerts that

0:28:55.360 --> 0:28:58.640
<v Speaker 11>are being provided with the amount of time that a

0:28:58.720 --> 0:29:03.760
<v Speaker 11>child's been online, or anybody has been online giving you

0:29:03.800 --> 0:29:07.560
<v Speaker 11>alerts to you as an individual directly. So I think

0:29:07.600 --> 0:29:09.920
<v Speaker 11>these are some of the emerging trends that we're seeing,

0:29:10.280 --> 0:29:13.120
<v Speaker 11>and they're coming out from a variety of different companies.

0:29:13.320 --> 0:29:18.280
<v Speaker 11>And it's not to say that that then makes one

0:29:18.400 --> 0:29:21.840
<v Speaker 11>company more proficient in that space over the other. I

0:29:21.880 --> 0:29:26.080
<v Speaker 11>think the whole community is really learning together, both policy

0:29:26.120 --> 0:29:30.760
<v Speaker 11>makers and industry players that have these research capacities within

0:29:30.760 --> 0:29:31.920
<v Speaker 11>their organizations.

0:29:32.720 --> 0:29:36.640
<v Speaker 5>Ashley Cassavan the iapp AI Governance Center. Great to have

0:29:36.720 --> 0:29:38.880
<v Speaker 5>your time, Thank you so much. Now coming up, we'll

0:29:38.880 --> 0:29:42.840
<v Speaker 5>speak with the new VC firm Pari Passuventure Partners, just

0:29:42.880 --> 0:29:48.480
<v Speaker 5>coming out of Stealth. Managing partner Julia Guddish Kriega joins us. Next,

0:29:48.560 --> 0:29:52.560
<v Speaker 5>we'll also let's stick with AI. Why not everyday AI

0:29:52.840 --> 0:29:55.000
<v Speaker 5>all the time? Here are two names that we touch

0:29:55.080 --> 0:29:59.200
<v Speaker 5>on every so often. SoundHound AI and Big Bear AI

0:29:59.640 --> 0:30:02.680
<v Speaker 5>both up big time twenty three percent. For Big Bear,

0:30:02.920 --> 0:30:04.680
<v Speaker 5>I'm looking on the Bloomberg terminal, I'm looking at the

0:30:04.680 --> 0:30:08.320
<v Speaker 5>news wires. Big Bear has its AGM today. I doubt

0:30:08.400 --> 0:30:11.120
<v Speaker 5>that is the causal link of what's driving the stock higher.

0:30:11.320 --> 0:30:14.960
<v Speaker 5>And SoundHound is among the most discussed on stock twits

0:30:15.000 --> 0:30:18.280
<v Speaker 5>and other Reddit forums. But these names have behave like

0:30:18.360 --> 0:30:20.560
<v Speaker 5>meme stocks as well as being caught up in the

0:30:20.680 --> 0:30:24.160
<v Speaker 5>kind of hype cycle we've seen the AI related names

0:30:24.160 --> 0:30:28.160
<v Speaker 5>and equity markets for two big movers this Tuesday. We'll

0:30:28.160 --> 0:30:45.920
<v Speaker 5>be right back. This is bloom of technology. Okay, quick update.

0:30:46.080 --> 0:30:49.440
<v Speaker 5>The global crypso total market cap is now at two

0:30:49.480 --> 0:30:53.240
<v Speaker 5>trillion dollars, driven basically by the rally in bitcoin Bitcoin

0:30:53.320 --> 0:30:56.040
<v Speaker 5>surge around twelve percent already in the last seven days

0:30:56.120 --> 0:30:59.440
<v Speaker 5>or so is trading near that high level of December

0:30:59.520 --> 0:31:01.760
<v Speaker 5>twenty twenty one. But the main point is if you

0:31:01.800 --> 0:31:04.320
<v Speaker 5>look right in the far right hand side of your screen,

0:31:04.800 --> 0:31:08.920
<v Speaker 5>two trillion dollars of total market cap for all digital tokens,

0:31:09.160 --> 0:31:15.280
<v Speaker 5>as tracked by www dot coin, marketcap dot com. What fun.

0:31:15.360 --> 0:31:17.800
<v Speaker 5>All right, Let's stick with these assets and zero in

0:31:18.040 --> 0:31:21.680
<v Speaker 5>on n ft SO. It's went from being touted as

0:31:21.720 --> 0:31:24.840
<v Speaker 5>the cutting edge of the digital frontier to frankly the

0:31:24.920 --> 0:31:29.800
<v Speaker 5>punchline for the most recent cryptobus. But suddenly the staging

0:31:29.840 --> 0:31:32.800
<v Speaker 5>and unlikely comeback joining me on set is bloombog. Hannah Miller,

0:31:33.240 --> 0:31:35.760
<v Speaker 5>you write with such fun about this, but it's true.

0:31:36.200 --> 0:31:38.240
<v Speaker 5>You know, we kind of went from all the craze

0:31:38.520 --> 0:31:43.320
<v Speaker 5>crazy dollar values to some memes and some jokes about

0:31:43.360 --> 0:31:46.280
<v Speaker 5>people that had bought in. What does the data tell

0:31:46.320 --> 0:31:46.760
<v Speaker 5>you now?

0:31:47.320 --> 0:31:50.280
<v Speaker 12>Yeah, so the big question here is can NFTs ride

0:31:50.280 --> 0:31:53.840
<v Speaker 12>the crypto comeback? You know, can they match bitcoins price rise?

0:31:54.200 --> 0:31:56.080
<v Speaker 12>And what we're seeing here is that, you know, there's

0:31:56.080 --> 0:31:59.080
<v Speaker 12>an overall upward trend in terms of total volume for

0:31:59.200 --> 0:32:03.040
<v Speaker 12>NFT sales, but it's been a little bumpy. So there

0:32:03.120 --> 0:32:06.760
<v Speaker 12>are these questions about what NFTs are good for, and

0:32:06.840 --> 0:32:10.000
<v Speaker 12>startup founders are doubling down on gaming, finance and art

0:32:10.400 --> 0:32:13.080
<v Speaker 12>as the main areas that we can use NFTs in.

0:32:13.680 --> 0:32:16.640
<v Speaker 5>We just showed that chart. Alice the director, bring back

0:32:16.680 --> 0:32:20.760
<v Speaker 5>the chart because it's astonishing what happened in December. You

0:32:20.880 --> 0:32:24.840
<v Speaker 5>kind of had like a weird twenty twenty three quiet summer,

0:32:25.480 --> 0:32:28.400
<v Speaker 5>and then December the market becomes alive again.

0:32:28.880 --> 0:32:29.080
<v Speaker 2>Yeah.

0:32:29.160 --> 0:32:32.360
<v Speaker 12>So we know that there was a lot of optimism

0:32:32.520 --> 0:32:36.160
<v Speaker 12>over the expected approval of the Bitcoin ETF which did

0:32:36.200 --> 0:32:40.360
<v Speaker 12>happen in January. And there are these NFT like objects

0:32:40.360 --> 0:32:43.680
<v Speaker 12>called ordinals that are based on the Bitcoin blockchain. We

0:32:43.760 --> 0:32:47.280
<v Speaker 12>saw huge, huge sales for ordinals during the fall as

0:32:47.280 --> 0:32:49.960
<v Speaker 12>people were getting really revved up about bitcoin. So we

0:32:50.080 --> 0:32:53.440
<v Speaker 12>have seen this optimism about bitcoin, this excitement about the

0:32:53.440 --> 0:32:56.800
<v Speaker 12>ETF bleed over into the NFT market just really quick.

0:32:56.880 --> 0:32:59.200
<v Speaker 5>Gaming is a big part of the story. Helped me

0:32:59.240 --> 0:33:00.320
<v Speaker 5>explain that one.

0:33:01.560 --> 0:33:04.480
<v Speaker 12>Yeah, so a lot of startups, including Yuga Labs, the

0:33:04.480 --> 0:33:07.560
<v Speaker 12>creator of the board Ape Yacht Club NFT collection, are

0:33:07.600 --> 0:33:09.960
<v Speaker 12>doubling down on gaming. They see this as a way

0:33:10.080 --> 0:33:13.960
<v Speaker 12>to bring mainstream audiences into crypto, into NFTs and create

0:33:14.000 --> 0:33:17.040
<v Speaker 12>games that are fun to play but also have blockchain.

0:33:16.640 --> 0:33:17.320
<v Speaker 2>In the background.

0:33:18.080 --> 0:33:21.840
<v Speaker 5>Blumbo's Hannah Miller top top Reporting. Thank you very much. Right,

0:33:21.960 --> 0:33:24.440
<v Speaker 5>let's get to today's VC spotlight and bring in a

0:33:24.480 --> 0:33:28.720
<v Speaker 5>firm that's just coming out as Stealth Parry Passu Venture Partners,

0:33:28.760 --> 0:33:32.920
<v Speaker 5>which brands itself as a founder led and backed early

0:33:32.960 --> 0:33:37.440
<v Speaker 5>stage venture firm investing at the intersection of tech and retail,

0:33:37.960 --> 0:33:41.840
<v Speaker 5>SaaS and consumer tech. It's invested in nineteen companies to date,

0:33:42.040 --> 0:33:45.360
<v Speaker 5>which check sizes ranging from one hundred thousand dollars to

0:33:45.480 --> 0:33:49.080
<v Speaker 5>over three million dollars per company. Managing partner Julia Gudish

0:33:49.120 --> 0:33:53.440
<v Speaker 5>Krieger joins me now from New York. Good morning to you, Julia,

0:33:53.600 --> 0:33:56.920
<v Speaker 5>this is an interesting concept. We all the time we

0:33:57.040 --> 0:34:00.440
<v Speaker 5>have startup founders on the show that have come out stealth.

0:34:00.520 --> 0:34:02.800
<v Speaker 5>They kind of work behind the scenes for a year,

0:34:03.280 --> 0:34:06.160
<v Speaker 5>raise money discreetly, and then say this is what we do.

0:34:06.520 --> 0:34:10.280
<v Speaker 5>You're a venture firm coming out of stealth, why so discreet.

0:34:10.680 --> 0:34:14.440
<v Speaker 13>So what we're launching today is an app called Perry Pursue,

0:34:14.800 --> 0:34:19.360
<v Speaker 13>which is a member's only investor network that allows founders

0:34:19.560 --> 0:34:24.200
<v Speaker 13>and operators and a credit tech enthusiasts to back leading

0:34:24.520 --> 0:34:28.959
<v Speaker 13>startups within SaaS you know, as you mentioned e commerce, tech,

0:34:29.080 --> 0:34:32.640
<v Speaker 13>consumer tech, but really alongside leading global venture capital farms.

0:34:32.880 --> 0:34:36.600
<v Speaker 13>And so for us as founders backing founders, we know

0:34:36.640 --> 0:34:38.760
<v Speaker 13>it takes a village, and we know that to get

0:34:38.840 --> 0:34:41.760
<v Speaker 13>a company to the scale that you need to succeed

0:34:41.840 --> 0:34:45.600
<v Speaker 13>and to exit, that village is super charged by having,

0:34:45.680 --> 0:34:48.200
<v Speaker 13>you know, operators that have been in the trenches themselves,

0:34:48.200 --> 0:34:50.160
<v Speaker 13>that have created themselves, that know how to roll up

0:34:50.160 --> 0:34:53.280
<v Speaker 13>their sleeves and support. That's the village that we want

0:34:53.400 --> 0:34:56.480
<v Speaker 13>our founders to have, and we're launching Perry Pursue to

0:34:56.560 --> 0:35:00.279
<v Speaker 13>create the world's most powerful network of founders, support and

0:35:00.360 --> 0:35:05.120
<v Speaker 13>unlock access to highly competitive venture capital deals, but for

0:35:05.200 --> 0:35:07.279
<v Speaker 13>operators that can put in as little as ten.

0:35:07.239 --> 0:35:09.799
<v Speaker 5>K, well, well, you say it takes a village, but

0:35:09.840 --> 0:35:13.280
<v Speaker 5>there's an element of exclusivity to it because it's members only.

0:35:13.880 --> 0:35:15.279
<v Speaker 5>Could you explain that part to me?

0:35:15.480 --> 0:35:18.320
<v Speaker 13>Yes, And so the members only piece is really because

0:35:18.320 --> 0:35:20.759
<v Speaker 13>we want to make sure we're supercharging the value out

0:35:20.800 --> 0:35:24.680
<v Speaker 13>on cap tables and so focusing first on letting on

0:35:25.560 --> 0:35:28.719
<v Speaker 13>founders operators that are VP level enough, people that can

0:35:28.760 --> 0:35:30.680
<v Speaker 13>really add a tremendous amount of value. Because if we're

0:35:30.680 --> 0:35:33.640
<v Speaker 13>writing a million dollar check into a company, and let's

0:35:33.640 --> 0:35:35.960
<v Speaker 13>say it's twenty people behind the scenes that are writing

0:35:36.480 --> 0:35:38.520
<v Speaker 13>checks from ten K checks of two million, you know,

0:35:38.600 --> 0:35:41.960
<v Speaker 13>sometimes historically we want those people to be able to

0:35:42.000 --> 0:35:45.440
<v Speaker 13>be highly value add we want those people to be

0:35:45.440 --> 0:35:47.200
<v Speaker 13>able to have a network for an introduction, if a

0:35:47.200 --> 0:35:49.120
<v Speaker 13>company wants to speak to a brand, right, if a

0:35:49.160 --> 0:35:52.320
<v Speaker 13>company wants to navigate the right equity package for a

0:35:52.360 --> 0:35:55.840
<v Speaker 13>certain higher right. And I think that village being operators

0:35:55.840 --> 0:35:59.920
<v Speaker 13>themselves ends up being tremendously impactful for the success of

0:36:00.040 --> 0:36:00.680
<v Speaker 13>these companies.

0:36:01.760 --> 0:36:04.960
<v Speaker 5>A kind of phenomenon I guess that we've covered on

0:36:05.000 --> 0:36:08.319
<v Speaker 5>the show of the last twelve months is the appetite

0:36:08.360 --> 0:36:12.160
<v Speaker 5>of the everyday investor, let's call them retail investor to

0:36:12.280 --> 0:36:16.640
<v Speaker 5>get particularly into growth stage companies like SpaceX and open Ai. Right,

0:36:16.719 --> 0:36:20.880
<v Speaker 5>there was suddenly a turnaround in what is normally in

0:36:20.920 --> 0:36:24.440
<v Speaker 5>a liquid market. And I wonder if through Parry Passu,

0:36:25.000 --> 0:36:27.359
<v Speaker 5>you think you'll see the same sort of engagement at

0:36:27.400 --> 0:36:31.080
<v Speaker 5>the early stage where people that traditionally just cannot or

0:36:31.120 --> 0:36:35.480
<v Speaker 5>won't invest in startups through venture funds now can.

0:36:36.760 --> 0:36:37.000
<v Speaker 3>Yeah.

0:36:37.080 --> 0:36:39.680
<v Speaker 13>I think part of the bottleneck is if you want

0:36:39.680 --> 0:36:42.600
<v Speaker 13>to invest in a venture fund, typically it's a two

0:36:42.680 --> 0:36:45.279
<v Speaker 13>fifty k minimum check, even if you do have access right,

0:36:45.320 --> 0:36:47.080
<v Speaker 13>and so a lot of the founders and operators that

0:36:47.120 --> 0:36:50.600
<v Speaker 13>are still building who'se you know, cash is more sitting

0:36:50.640 --> 0:36:52.719
<v Speaker 13>in the form of equity, you know, for that future win,

0:36:53.640 --> 0:36:56.160
<v Speaker 13>they're not able to participate in that mechanism. And so

0:36:56.520 --> 0:36:59.839
<v Speaker 13>Perry Pursue is really opening the doors to allow those

0:37:00.040 --> 0:37:04.000
<v Speaker 13>operators to be able to invest in a really accessible

0:37:04.480 --> 0:37:10.319
<v Speaker 13>access point, but building a highly curated ecosystem.

0:37:12.160 --> 0:37:14.160
<v Speaker 5>I introed you saying you're going to invest in the

0:37:14.160 --> 0:37:18.279
<v Speaker 5>intersection of basically everything. But I wonder, is there one

0:37:18.400 --> 0:37:20.560
<v Speaker 5>main area that you're really excited about. We just have

0:37:20.640 --> 0:37:21.440
<v Speaker 5>thirty seconds.

0:37:21.560 --> 0:37:24.640
<v Speaker 13>Sure, so I would say we have a pretty unfair

0:37:24.680 --> 0:37:28.480
<v Speaker 13>advantage in terms of e commerce SaaS across the partnership.

0:37:28.760 --> 0:37:32.359
<v Speaker 13>We have lived many lives in that ecosystem. My two

0:37:32.440 --> 0:37:34.960
<v Speaker 13>partners sold the largest Shopify agency in that space. So

0:37:35.000 --> 0:37:38.279
<v Speaker 13>you think about having access to hundreds of brand CEOs

0:37:38.440 --> 0:37:40.440
<v Speaker 13>and the e commerce sex selling into it, that's what

0:37:40.560 --> 0:37:43.360
<v Speaker 13>you want on your cap table. But I've spent the

0:37:43.400 --> 0:37:46.200
<v Speaker 13>better part of two decades in both the venture and

0:37:46.200 --> 0:37:50.160
<v Speaker 13>founder ecosystem alongside my partners as well, and so the

0:37:50.200 --> 0:37:52.720
<v Speaker 13>deep relationships that you can only forge over that amount

0:37:52.719 --> 0:37:54.600
<v Speaker 13>of time or what give us access to some of

0:37:54.640 --> 0:37:57.320
<v Speaker 13>the most highly competitive deals in venture.

0:37:57.640 --> 0:38:01.839
<v Speaker 5>All right, Perry passuventjupon is managing partner Julia GUDISKRUGA. Great

0:38:01.880 --> 0:38:03.520
<v Speaker 5>to have you on the program. Thank you for your

0:38:03.560 --> 0:38:16.320
<v Speaker 5>time lapse. The latest Instagram competitors raised thirty million dollars

0:38:16.360 --> 0:38:19.760
<v Speaker 5>in its series A funding round. The platform allows users

0:38:19.760 --> 0:38:23.640
<v Speaker 5>to take photos with a distinctly vintage feel that cannot

0:38:23.640 --> 0:38:27.040
<v Speaker 5>be seen for a few hours until they develop. These

0:38:27.040 --> 0:38:29.719
<v Speaker 5>new funds allow the friends focused photo sharing app to

0:38:29.760 --> 0:38:34.320
<v Speaker 5>expand engineering and technical teams and implement community led product updates.

0:38:34.360 --> 0:38:37.279
<v Speaker 5>Continuing to iterate on the user experience of lighted to

0:38:37.320 --> 0:38:40.600
<v Speaker 5>say that co founder Dan Silberton joins me. Now, so

0:38:40.680 --> 0:38:43.640
<v Speaker 5>this is like a very interesting concept. You don't just

0:38:43.719 --> 0:38:46.440
<v Speaker 5>take a photo and use basically a filter, right that

0:38:46.480 --> 0:38:49.480
<v Speaker 5>gives it a vintage feel. Your platform then makes the

0:38:49.600 --> 0:38:53.840
<v Speaker 5>user wait a number of hours to replicate the film

0:38:53.880 --> 0:38:55.440
<v Speaker 5>development process, explain it.

0:38:56.800 --> 0:38:57.719
<v Speaker 3>That's exactly right.

0:38:57.800 --> 0:39:00.360
<v Speaker 14>And one of the things that makes laps with different

0:39:00.400 --> 0:39:02.880
<v Speaker 14>from the way that you take photos on either your

0:39:02.960 --> 0:39:05.560
<v Speaker 14>native camera or any other app today is that we

0:39:05.680 --> 0:39:09.120
<v Speaker 14>really closely mimic not just an aesthetic, but also experience

0:39:09.600 --> 0:39:12.160
<v Speaker 14>the feeling of using either as spotal camera or film camera.

0:39:12.560 --> 0:39:15.200
<v Speaker 14>And we really find that not just in terms of

0:39:15.200 --> 0:39:18.000
<v Speaker 14>actually that the way the photos look, but actually the

0:39:18.080 --> 0:39:20.160
<v Speaker 14>ability to keep you in the moment because often when

0:39:20.200 --> 0:39:22.680
<v Speaker 14>you take a photo, you're doing something really exciting that

0:39:22.719 --> 0:39:25.839
<v Speaker 14>you want to live as fully as you can. Our

0:39:25.920 --> 0:39:29.800
<v Speaker 14>users really appreciate that feeling, other than other country social

0:39:29.800 --> 0:39:30.960
<v Speaker 14>media which really suck them in.

0:39:32.480 --> 0:39:34.320
<v Speaker 5>Let's think about your business. You have a good runway

0:39:34.320 --> 0:39:36.359
<v Speaker 5>now because you raise thirty million dollars, but is this

0:39:36.400 --> 0:39:39.239
<v Speaker 5>going to be an ad based platform or a subscription

0:39:39.360 --> 0:39:40.920
<v Speaker 5>based platform.

0:39:41.480 --> 0:39:44.040
<v Speaker 14>So it's quite early to say or too early to stay.

0:39:44.040 --> 0:39:47.440
<v Speaker 14>At the moment, we have early hypotheses that we will

0:39:47.600 --> 0:39:50.279
<v Speaker 14>not monetize through ads, but right now we're focused on

0:39:50.360 --> 0:39:53.200
<v Speaker 14>just building the best possible user experience and scaling that

0:39:53.239 --> 0:39:55.680
<v Speaker 14>to as many users as we can. What we've seen

0:39:55.680 --> 0:39:58.520
<v Speaker 14>with the traditional social platforms is that monetization tends to

0:39:58.560 --> 0:40:00.680
<v Speaker 14>come a lot later in their life side. And with

0:40:00.719 --> 0:40:03.360
<v Speaker 14>these new investors that we've brought on, they've all invested

0:40:03.400 --> 0:40:06.600
<v Speaker 14>in the incumbent social platforms that previously started and seen

0:40:06.640 --> 0:40:09.080
<v Speaker 14>that journey, and so they're fully behind us in terms

0:40:09.080 --> 0:40:12.640
<v Speaker 14>of understanding that monetization necessarily comes a lot later.

0:40:13.480 --> 0:40:16.359
<v Speaker 5>I'm really interested in in lapses growth. Dan, you know,

0:40:16.440 --> 0:40:21.200
<v Speaker 5>are you seeing engagement through iOS or Android? Geographically? Where

0:40:21.200 --> 0:40:22.520
<v Speaker 5>do you think you're going to be strong?

0:40:23.880 --> 0:40:24.440
<v Speaker 3>Good question.

0:40:24.520 --> 0:40:27.160
<v Speaker 14>So today the app is only on iOS. We're not

0:40:27.200 --> 0:40:29.160
<v Speaker 14>on Android yet. That will come in the future, but

0:40:29.440 --> 0:40:32.640
<v Speaker 14>today the focus is very much iOS. We're very strong

0:40:32.640 --> 0:40:35.040
<v Speaker 14>in the US, so most of our user in the US,

0:40:35.080 --> 0:40:37.239
<v Speaker 14>but we also still have some in the UK and

0:40:37.280 --> 0:40:39.840
<v Speaker 14>in Canada as well. But for us, very much to focus,

0:40:39.840 --> 0:40:41.480
<v Speaker 14>like I said, is in the US, and we see

0:40:41.480 --> 0:40:45.600
<v Speaker 14>a very strong bias towards gen z and female users,

0:40:45.920 --> 0:40:48.160
<v Speaker 14>which tend to be the early adoptor cohorts for these

0:40:48.200 --> 0:40:50.799
<v Speaker 14>new social platforms, which is really encouraging to see that

0:40:50.800 --> 0:40:53.719
<v Speaker 14>those are the users that are organically using the platform.

0:40:54.080 --> 0:40:57.120
<v Speaker 5>I want to go to who you think you're competing

0:40:57.160 --> 0:40:59.960
<v Speaker 5>with us talking with Bloomberg technology? Is Jackie Lopez about this?

0:41:00.200 --> 0:41:03.520
<v Speaker 5>You're making the user weight. I'm assuming the technology doesn't

0:41:03.800 --> 0:41:05.719
<v Speaker 5>require you to wait, You're just doing it as a

0:41:05.760 --> 0:41:08.600
<v Speaker 5>feature that puts you on a collision course with who

0:41:08.680 --> 0:41:10.160
<v Speaker 5>Instagram Snap.

0:41:12.239 --> 0:41:12.560
<v Speaker 3>Exactly.

0:41:12.640 --> 0:41:14.719
<v Speaker 14>And then also actually the users native camera as well,

0:41:14.719 --> 0:41:18.320
<v Speaker 14>we actually see because the cameras the app rather opens

0:41:18.360 --> 0:41:21.640
<v Speaker 14>to camera. We actually see ourselves very much first as

0:41:21.680 --> 0:41:25.120
<v Speaker 14>a camera app, because we believe that if we were

0:41:25.160 --> 0:41:27.920
<v Speaker 14>able to own the top of funnel content capture for users,

0:41:28.160 --> 0:41:29.759
<v Speaker 14>then all of the other things that can come off

0:41:29.800 --> 0:41:33.800
<v Speaker 14>the back of that, like the sharing, the journaling, the

0:41:34.200 --> 0:41:38.000
<v Speaker 14>kind of curating and the highlights, all of that is

0:41:38.040 --> 0:41:40.760
<v Speaker 14>downstream from the capture. So we're really focused on providing

0:41:40.800 --> 0:41:43.520
<v Speaker 14>the best possible capture experience for users and to actually

0:41:43.880 --> 0:41:46.040
<v Speaker 14>one of the best or one of the biggest competitors

0:41:46.080 --> 0:41:48.880
<v Speaker 14>to us is the users native camera on their phone.

0:41:49.960 --> 0:41:52.680
<v Speaker 5>All right, laps co founded Dan Silverton, hot off a

0:41:52.719 --> 0:41:55.839
<v Speaker 5>series a round thirty million dollars. Thank you for your time.

0:41:55.880 --> 0:41:58.600
<v Speaker 5>That does it for this edition of Bloomberg Technology. We

0:41:58.640 --> 0:42:01.200
<v Speaker 5>won't make you wait. Check out podcasts. It will be

0:42:01.200 --> 0:42:05.279
<v Speaker 5>online soon on the terminal Bloomberg platforms, Apple, iHeart and

0:42:05.400 --> 0:42:09.080
<v Speaker 5>of course on Spotify. Brace yourselves. There's a big week

0:42:09.120 --> 0:42:12.280
<v Speaker 5>of economic data and it's going to impact these markets.

0:42:12.320 --> 0:42:14.280
<v Speaker 5>Tune in. This is Bloomberg Technology.