WEBVTT - Sequoia Splits Into Three Firms and the SEC Targets Coinbase

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<v Speaker 1>From Mahard where Innovation of Money and Power Collie in

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<v Speaker 1>Silicon Valley, NBN.

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<v Speaker 2>This is Bloomberg Technology with Caroline Hyde and Ed.

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<v Speaker 3>Ludlove and Caroline Hyde a Bloomerg's World head quarters in

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<v Speaker 3>New York, elamed Lovelow in San Francisco.

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<v Speaker 4>This is Bloomberg Technology coming up.

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<v Speaker 5>Sequoia splits into three firms.

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<v Speaker 6>The venture capital powerhouse divides into several entities. As as

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<v Speaker 6>geopolitical tensions, they're on the rise, will break down the announcement.

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<v Speaker 7>And Coinbase is the latest target by the SEC, with regulator.

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<v Speaker 4>Suing the exchange. We'll discuss the US crackdown on crypto ahead.

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<v Speaker 6>Plus we've got to dive into the state of virtual

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<v Speaker 6>and augmented reality following Apple's Vision Pro release. We've got

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<v Speaker 6>the CEO of ar company, Magic Leap.

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<v Speaker 5>On the show.

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<v Speaker 6>All that and so much more up first, let's check

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<v Speaker 6>in on relatively muted markets today. Regional Bank's getting kick higher,

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<v Speaker 6>but in general, we're looking at what the World Bank

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<v Speaker 6>is warning about the global environment in which we stand.

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<v Speaker 6>What of interest rates, what of the disruption to global economies?

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<v Speaker 6>We're not five tens percent on the Nasdaq? Is big

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<v Speaker 6>tech manages to push up even though his apple is

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<v Speaker 6>a little like luster. We see the two year yield

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<v Speaker 6>though on the higher side five basis points.

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<v Speaker 5>On the front end.

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<v Speaker 6>That means maybe we're less confident that the Federal Reserve

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<v Speaker 6>will put on ice some of those rate cut rate hikes,

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<v Speaker 6>even rate cut Remember Rich Clarender, he's the vice chair

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<v Speaker 6>of the Fed today saying, look, we're not cunning anytime

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<v Speaker 6>soon and likely to see on pause for the time being.

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<v Speaker 5>Euro curring up by two tens percent.

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<v Speaker 6>Interesting that inflationary pressures just dive back that little bit

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<v Speaker 6>in the Eurozone. Meanwhile, Australian central Bank fighting inflation hard.

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<v Speaker 6>This really is the global narrative inflation and how that

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<v Speaker 6>affects global growth. But moving on, because well, one risk asset,

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<v Speaker 6>one growth asset, might say Ashley having an interestingly volatile day,

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<v Speaker 6>We're back to it with bitcoin and actually training higher

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<v Speaker 6>twenty six thousand. It will still well below that thirty

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<v Speaker 6>thousand nine that we managed to crack a little while ago.

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<v Speaker 6>We were worried about some of the effects of the

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<v Speaker 6>SEC focused on crypto, but actually managed to push higher

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<v Speaker 6>about ten am there or thereabouts.

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<v Speaker 5>So maybe people buying the diff at the moment ed.

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<v Speaker 7>Yeah, very clearly moving to the downside. Is Apple off

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<v Speaker 7>by three tents of percent. The street basically saying this

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<v Speaker 7>is either sell the news or details of the Vision

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<v Speaker 7>Pro mixed reality headset already priced into the stock. We

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<v Speaker 7>will have a lot of day two reaction and analysis

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<v Speaker 7>from that big WWDC event.

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<v Speaker 4>I'm looking a lot of the chip sector as well.

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<v Speaker 7>Taiwan Semiconductor This is the US ADRs up by two percent.

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<v Speaker 7>They restated their four year capex guidance, coming at the

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<v Speaker 7>low end of the previously guided range around thirty two

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<v Speaker 7>billion dollars, having an impact in markets Applied materials the

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<v Speaker 7>chip equipment maker higher by a percentage point have been lower.

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<v Speaker 7>The idea being less capex spend by the world's biggest

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<v Speaker 7>contract chip manufacturer would not be good news, but actually

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<v Speaker 7>a rebound there. And sticking with chips Intel higher by

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<v Speaker 7>four and a half percent. The company is selling one

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<v Speaker 7>point five billion dollars worth of its stake immobilize the

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<v Speaker 7>automotive tech name and with options to sell further shares

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<v Speaker 7>as well. The other top top story is Coinbase shares

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<v Speaker 7>down significantly after the US Securities and Exchange Commission the

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<v Speaker 7>SEC said it's suing Coinbase for breaching securities law. Bloomberg

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<v Speaker 7>also has fresh thoughts on this from SEC chair Gary Gensler,

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<v Speaker 7>weighing in on the state of the crypto industry and

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<v Speaker 7>the steps it needs to take to protect customer assets

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<v Speaker 7>and its integrity.

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<v Speaker 4>Have a listen.

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<v Speaker 8>I think the crypto industry, more broadly, if it's going

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<v Speaker 8>to have any success going forward, has to come into

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<v Speaker 8>compliance with basic public policy about disclosure, about avoiding conflicts,

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<v Speaker 8>about segregating properly segregating customer funds, and guarding against fraud manipulation.

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<v Speaker 8>Without that, this whole area stands, the chances are collapsing

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<v Speaker 8>like a house of cards.

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<v Speaker 7>The SEC sues Coinbase. Let some packet further with Shnalie Bassett, Bloomberg,

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<v Speaker 7>Wall Street REPORTERNALI What is it the core of the

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<v Speaker 7>SEC's argument here?

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<v Speaker 5>A few things here.

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<v Speaker 9>We have to think about this claim that the SEC

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<v Speaker 9>is making that they are acting as an unregistered broker

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<v Speaker 9>dealer and listing on registered securities, which has been up

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<v Speaker 9>for debate in the cryptocommunity when it comes to regulators

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<v Speaker 9>at least for a long time now. Coinbase, we know

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<v Speaker 9>says that a lot of the things that they've listed

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<v Speaker 9>are not securities, while the Securities in Exchange Commission believes

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<v Speaker 9>they are, and they have a very specific list here

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<v Speaker 9>of tokens that they have referred to as believing as securities.

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<v Speaker 9>When we've spoke to Brian Armstrong about this on the record,

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<v Speaker 9>they have talked about the listing process they've had at Coinbase,

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<v Speaker 9>so we know that they vigorously disagree with what the SEC.

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<v Speaker 10>Is saying listened.

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<v Speaker 9>I think there's another couple of twists and turns in

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<v Speaker 9>this story too, because if you remember, Coinbase actually had

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<v Speaker 9>looked to acquire, had acquired a broker dealer license that

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<v Speaker 9>has been dormant with the SEC. So I expect that

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<v Speaker 9>to come back up again because they have been talking

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<v Speaker 9>about that in recent months.

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<v Speaker 5>So it's not for lack of trying to become.

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<v Speaker 9>A broker dealer as they are being sued by the SEC.

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<v Speaker 10>Here.

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<v Speaker 6>Let's just rud in the conversation to Binance, which of

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<v Speaker 6>course was the news of yesterday. So the SEC is

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<v Speaker 6>tackling all manners of exchanges at the moment.

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<v Speaker 9>Yeah, and you have two different things happening on two

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<v Speaker 9>different days. You have Binance, the largest exchange in the world,

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<v Speaker 9>but some of the allegations being made against Binance are

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<v Speaker 9>very different than the ones being made against Coinbase. Here

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<v Speaker 9>at Binance, they are looking at all your customer rules,

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<v Speaker 9>corrupted trading volumes, reliance on related party transactions. Another thing

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<v Speaker 9>to look at with Binance is the difference in where

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<v Speaker 9>the suit was filed. That is a very subtle difference, however,

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<v Speaker 9>in the legal community here too, if you look the

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<v Speaker 9>SEC had filed that suit in Washington versus New York State. Remember,

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<v Speaker 9>there are ongoing investigations elsewhere when you look at the

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<v Speaker 9>US government and how it's trying to look at Binance's operations,

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<v Speaker 9>particularly because Binance as a whole is not on US ground.

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<v Speaker 9>When it comes to coinbase, again, this is a matter

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<v Speaker 9>more largely of not just unlisted securities or the allegations

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<v Speaker 9>of having unlisted securities. It is also the staking as

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<v Speaker 9>a service, which as we know, is a pretty critical

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<v Speaker 9>on ramp and the way we think about how people

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<v Speaker 9>will engage in crypto moving forward. The other interesting thing

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<v Speaker 9>is coinbas is based in the United States, publicly listed.

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<v Speaker 9>The SEC allowed that to happen, and so there are

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<v Speaker 9>different tensions going on here and the way that they

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<v Speaker 9>are in fact litigated, will also be different. My sources

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<v Speaker 9>are saying over Coinbase, not surprisingly, that they intend to

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<v Speaker 9>defend themselves very vigorously, as what you would expect from

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<v Speaker 9>a suit here that is not settled as it stands today,

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<v Speaker 9>all right, thanks.

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<v Speaker 7>To the bloomboation Aali Basset Wall Street report out there

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<v Speaker 7>in New York. Meanwhile, venture capital giants Sequoia Capital is

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<v Speaker 7>splitting global operations into three separate firms, is GPLIS Tensions

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<v Speaker 7>between the US and China continue to SIMI let's get

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<v Speaker 7>more details with Lazette Chapman covering all things venture capital

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<v Speaker 7>for Bloomberg Technology. Let's start with Sekoia specifically. I kind

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<v Speaker 7>of feel like the writing's been on the wall for

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<v Speaker 7>this firm or three separate entities for some time.

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<v Speaker 2>Yeah. I think that's that's right.

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<v Speaker 11>This has been a rough it just kind of going

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<v Speaker 11>back here, Sequoia has had a very tough year. They've

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<v Speaker 11>had a lot of challenges from you know, challenges related

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<v Speaker 11>to the change structure right before the public markets tanked,

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<v Speaker 11>to their backing of Twitter, to their their backing of

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<v Speaker 11>FDx FTX, the largest crypto implosion that you guys have

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<v Speaker 11>been talking about on the show on and off and

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<v Speaker 11>on and off, and so they've had a lot of

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<v Speaker 11>issues this past year, increased tensions from Washington d C

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<v Speaker 11>to really clamp down on what they're doing in China,

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<v Speaker 11>what they have been doing there in terms of supporting

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<v Speaker 11>investments there, both directly from their US partners and through

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<v Speaker 11>their limited partners through who they convinced to invest in

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<v Speaker 11>its Sequoia China operations two decades ago have all come

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<v Speaker 11>together to this moment.

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<v Speaker 2>So it's been building for a while.

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<v Speaker 5>But then the ripple.

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<v Speaker 6>Effects is that Kose light speeds China partners as well

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<v Speaker 6>as DST Global. Do we expect that others will have

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<v Speaker 6>to make similar moves? Is this a very individual, idiosynclassic event.

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<v Speaker 11>There has been mounting pressure, i'd say for the past

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<v Speaker 11>year or so.

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<v Speaker 2>It's really intensified in the past.

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<v Speaker 11>Few months on the part of Washington lawmakers to crack

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<v Speaker 11>down on investors here in the US that are backing

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<v Speaker 11>Chinese startups that are focused on sensitive technologies AI, quantum

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<v Speaker 11>autonomous drones and other areas that could have a military application,

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<v Speaker 11>and in fact do in many cases. You look at

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<v Speaker 11>DGI drone. Now to your question, is this just the

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<v Speaker 11>ripple effect. Is this the big ginning of more to come?

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<v Speaker 5>Again?

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<v Speaker 2>We don't have that's a great question.

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<v Speaker 11>We don't haven't heard anything from light Speed and Kochwu

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<v Speaker 11>and some of the other US based investors who have

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<v Speaker 11>also made big bets there.

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<v Speaker 2>But there is activity on the hill.

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<v Speaker 11>There is an EO and executive order which is expected,

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<v Speaker 11>and it has been expected.

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<v Speaker 2>For some time and has not yet come through.

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<v Speaker 11>So what that EO is going to look like and

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<v Speaker 11>whether it's the first step of many or the final

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<v Speaker 11>will will help answer that question.

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<v Speaker 2>Caroline.

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<v Speaker 4>Yeah.

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<v Speaker 7>The policy landscape perspective is that Bloomberg has reported the

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<v Speaker 7>President is considering limiting outbound investment to China. When you

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<v Speaker 7>and I Laze are out in the valley at events whatever,

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<v Speaker 7>speaking to venture capitalists, there's also this ethical and philosophical

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<v Speaker 7>consideration either about taking money from Chinese LPs or deploying

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<v Speaker 7>capital into Chinese startups. Just tell us what you're hearing

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<v Speaker 7>on that front.

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<v Speaker 2>Well, one of the biggest that's a great point.

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<v Speaker 11>One of the biggest things that you and I have

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<v Speaker 11>both been hearing has been this bickering kind of between

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<v Speaker 11>you know, vcs that are really investing and focusing on

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<v Speaker 11>defense technology and national security applications. That seem to be

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<v Speaker 11>the loudest voices in the room. These are ones including

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<v Speaker 11>Founder's Fund and Andrews and Horowitz through their American Dynamism Fund,

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<v Speaker 11>that are looking at US competition in these emerging technologies

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<v Speaker 11>and the applications that it could have for for military. Now,

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<v Speaker 11>you know, in terms of what this, what this means

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<v Speaker 11>and kind of that tension between those firms, we haven't

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<v Speaker 11>heard anything yet from from any partners as to, you know,

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<v Speaker 11>whether this this split up is enough or.

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<v Speaker 2>Not, but there is concern.

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<v Speaker 11>About about the support that US money is giving a

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<v Speaker 11>lot of firms. I think it's worth noting that it's

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<v Speaker 11>that that one thing that that Koya did not mention

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<v Speaker 11>in this is what's going to happen to their US

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<v Speaker 11>partners that still have an interest in the fund. So

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<v Speaker 11>that's have already made They've made these investments years and

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<v Speaker 11>years ago. I'm thinking about TikTok, I'm thinking about Dji

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<v Speaker 11>and other ones where they have billions and billions of

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<v Speaker 11>dollars but it's illiquid, and they made these investments at

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<v Speaker 11>a time that it was legal. So now we're looking

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<v Speaker 11>at a situation where they have this money but they

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<v Speaker 11>can't necessarily get it out right now, and that's not

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<v Speaker 11>even the focus of their announcement today, but that's kind

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<v Speaker 11>of the elephant in the room to some extent, and

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<v Speaker 11>they said, you know, hey, it's not geopolitical tensions that

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<v Speaker 11>are pushing us. That they kind of downplayed that in

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<v Speaker 11>some statements, but you know, it's kind of tough to

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<v Speaker 11>avoid that when when any you.

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<v Speaker 2>Know, I don't really know that that is going to

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<v Speaker 2>be their final statement on it.

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<v Speaker 5>Has that Chapman, We'll see.

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<v Speaker 6>I'm sure they'll be plenty more reporting coming from you

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<v Speaker 6>on all of this. We thank you so much for

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<v Speaker 6>breaking it down.

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<v Speaker 12>So in the same way that Mac introduced us to

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<v Speaker 12>personal computing and iPhone introduced us to mobile computing, Apple

0:12:11.400 --> 0:12:16.000
<v Speaker 12>Vision Pro will introduce us to spatial computing. This marks

0:12:16.040 --> 0:12:18.600
<v Speaker 12>the beginning of a journey that will bring a new

0:12:18.640 --> 0:12:21.400
<v Speaker 12>dimension to powerful personal technology.

0:12:22.520 --> 0:12:25.600
<v Speaker 6>Tim cookber one day on after the Worldwide Developers Conference,

0:12:25.640 --> 0:12:28.600
<v Speaker 6>I'm veiling the Apple Vision Pro and the era.

0:12:28.520 --> 0:12:32.760
<v Speaker 5>Of spatial computing from more. Let's bring in judiask, principle.

0:12:32.440 --> 0:12:35.160
<v Speaker 6>Analyst Forrester, who is jetted in on the Red Eye,

0:12:35.200 --> 0:12:37.960
<v Speaker 6>having been at that event, So ten out of ten

0:12:38.200 --> 0:12:40.959
<v Speaker 6>for all the effort to be made to describe to

0:12:41.080 --> 0:12:42.800
<v Speaker 6>us what on our special computing.

0:12:42.440 --> 0:12:43.560
<v Speaker 5>Is, thank you.

0:12:43.640 --> 0:12:43.840
<v Speaker 4>Yeah.

0:12:43.960 --> 0:12:46.319
<v Speaker 1>No, I had the opportunity to put on the it's

0:12:46.360 --> 0:12:49.240
<v Speaker 1>not a headset, it's a spatial computing device and get

0:12:49.240 --> 0:12:51.679
<v Speaker 1>a private demo, and I would tell you it impresses.

0:12:51.840 --> 0:12:54.480
<v Speaker 1>It is It's like nothing I've ever tried before, and

0:12:54.520 --> 0:12:56.160
<v Speaker 1>I've tried on a lot of headsets.

0:12:56.400 --> 0:12:56.640
<v Speaker 5>Yeah.

0:12:56.679 --> 0:13:00.360
<v Speaker 1>From the uh, the setup is easy, the inn face

0:13:00.440 --> 0:13:02.960
<v Speaker 1>is very intuitive than for most devices. And then when

0:13:03.000 --> 0:13:05.120
<v Speaker 1>you think about almost one hundred and eighty degrees field

0:13:05.120 --> 0:13:07.319
<v Speaker 1>of view, it's you can't imagine it.

0:13:07.400 --> 0:13:08.880
<v Speaker 6>So at three and a half thousand dollars, do you

0:13:08.880 --> 0:13:10.920
<v Speaker 6>feel that that's the right price tag they're going for,

0:13:11.480 --> 0:13:15.160
<v Speaker 6>you know, a luxury item before they go for complete

0:13:15.200 --> 0:13:16.760
<v Speaker 6>compute power in everyone's hands.

0:13:16.920 --> 0:13:17.120
<v Speaker 10>Yeah.

0:13:17.160 --> 0:13:19.400
<v Speaker 1>So I think often that is the Apple strategy. And

0:13:19.440 --> 0:13:21.480
<v Speaker 1>I think one of the other advantages of not calling

0:13:21.480 --> 0:13:25.040
<v Speaker 1>it a headset is Apple computer costs anywhere from about

0:13:25.040 --> 0:13:26.880
<v Speaker 1>eight or nine hundred dollars up to seven thousand.

0:13:27.000 --> 0:13:27.480
<v Speaker 9>So this is.

0:13:27.440 --> 0:13:32.360
<v Speaker 1>A mid range computing device, spatial computing device for Apple.

0:13:32.400 --> 0:13:34.079
<v Speaker 1>It's not an expensive headset.

0:13:34.960 --> 0:13:36.719
<v Speaker 7>Julie, I'm sorry, I've got to go back to this,

0:13:37.120 --> 0:13:40.640
<v Speaker 7>the one question that everyone has. I was at APPLEWWDC

0:13:41.240 --> 0:13:45.319
<v Speaker 7>as well. What is spatial computing?

0:13:46.360 --> 0:13:49.040
<v Speaker 1>Yeah, it's three D, so I'll get Let me give

0:13:49.040 --> 0:13:50.920
<v Speaker 1>you a few examples of what that means. So, in

0:13:50.920 --> 0:13:54.160
<v Speaker 1>one example, I was what appeared to be on the

0:13:54.160 --> 0:13:56.920
<v Speaker 1>top of a cliff above a fjord in Norway, and

0:13:56.960 --> 0:13:59.800
<v Speaker 1>I was able to peer over. I was also able

0:13:59.840 --> 0:14:02.120
<v Speaker 1>to sit at the edge of a lake and listen

0:14:02.200 --> 0:14:04.920
<v Speaker 1>to the lapping water on the shore while reading a book.

0:14:05.320 --> 0:14:07.959
<v Speaker 1>I was a butterfly came at one point and landed

0:14:08.000 --> 0:14:11.280
<v Speaker 1>on my finger, and a dinosaur gobbled my hand. So

0:14:11.320 --> 0:14:13.920
<v Speaker 1>those are a few examples. But the other exciting thing

0:14:13.920 --> 0:14:16.480
<v Speaker 1>about this new device is that it can take photos

0:14:16.480 --> 0:14:19.400
<v Speaker 1>and it can take videos. So I watched children having

0:14:19.400 --> 0:14:21.880
<v Speaker 1>a birthday party. And to allow consumers to create this

0:14:21.960 --> 0:14:24.320
<v Speaker 1>kind of videos on their own, we haven't seen something

0:14:24.360 --> 0:14:25.560
<v Speaker 1>like this in a very long time.

0:14:26.360 --> 0:14:28.400
<v Speaker 7>What jumped out on me when I got up close

0:14:28.440 --> 0:14:31.640
<v Speaker 7>and personal with the Vision Pro was the appendage, the

0:14:31.640 --> 0:14:34.600
<v Speaker 7>battery pack and the gray cable running from it.

0:14:34.640 --> 0:14:35.440
<v Speaker 4>What did you make of that?

0:14:36.400 --> 0:14:38.000
<v Speaker 10>Well, it's so a couple things.

0:14:38.000 --> 0:14:40.440
<v Speaker 1>So one you know, the concern with a device like

0:14:40.480 --> 0:14:42.240
<v Speaker 1>this that we're not calling a headset is always the

0:14:42.240 --> 0:14:44.520
<v Speaker 1>weight of the device. So everyone's looking for ways to

0:14:44.560 --> 0:14:46.680
<v Speaker 1>take any kind of weight or size out of it.

0:14:46.760 --> 0:14:49.200
<v Speaker 1>So as it is now, the device is about one

0:14:49.280 --> 0:14:51.800
<v Speaker 1>pound and so that's on the head, and then the

0:14:51.800 --> 0:14:54.160
<v Speaker 1>battery pack is about the size maybe of an iPhone

0:14:54.240 --> 0:14:56.200
<v Speaker 1>or an iPhone pro and it sits to the side.

0:14:56.720 --> 0:14:59.680
<v Speaker 1>The battery life is two hours, I believe, and I've

0:14:59.720 --> 0:15:01.760
<v Speaker 1>heard folks not that. But on the other hand, you're

0:15:01.960 --> 0:15:04.280
<v Speaker 1>also unlikely to have this device on your head for

0:15:04.360 --> 0:15:07.160
<v Speaker 1>more than one to two hours, and so I think

0:15:07.160 --> 0:15:10.720
<v Speaker 1>they've engineered that just about right, that it's the battery

0:15:10.760 --> 0:15:13.120
<v Speaker 1>pack's going to last longer than I'm likely to have

0:15:13.200 --> 0:15:14.640
<v Speaker 1>this on my head for one session.

0:15:15.440 --> 0:15:18.600
<v Speaker 7>You know, a Cara being at Apple Park paying close

0:15:18.640 --> 0:15:22.120
<v Speaker 7>attention to the keynote the presentation. There was a lot

0:15:22.120 --> 0:15:24.960
<v Speaker 7>of emphasis on the idea that the Vision Pro can

0:15:25.000 --> 0:15:28.120
<v Speaker 7>do lots of things that are accessible on the iPad

0:15:28.320 --> 0:15:31.680
<v Speaker 7>and iOS, that all that great stuff. It's ready to go,

0:15:32.920 --> 0:15:34.760
<v Speaker 7>and given the price point, I thought that was interesting.

0:15:35.120 --> 0:15:37.280
<v Speaker 1>Yeah, I think it's a very smart strategy because if

0:15:37.280 --> 0:15:40.560
<v Speaker 1>you look at the VR headset market today, it's primarily gaming,

0:15:40.920 --> 0:15:44.440
<v Speaker 1>it's education, it is a little bit of fitness, and

0:15:44.480 --> 0:15:47.400
<v Speaker 1>then meta is hopeful for some social media. If you

0:15:47.400 --> 0:15:49.920
<v Speaker 1>look at the strategy that Apple is taking with their device,

0:15:50.280 --> 0:15:54.280
<v Speaker 1>it's tapping into media consumption, which is far far easier

0:15:54.320 --> 0:15:56.120
<v Speaker 1>for consumers to get up and get running and get

0:15:56.120 --> 0:15:58.920
<v Speaker 1>going and have enjoyment from the device. And it also

0:15:58.960 --> 0:16:02.320
<v Speaker 1>taps into the Apple one services that so many of

0:16:02.360 --> 0:16:04.680
<v Speaker 1>their customers are already buying. If you think about it,

0:16:04.800 --> 0:16:07.800
<v Speaker 1>typical Apple smartphone owner, more than ninety percent of them

0:16:07.800 --> 0:16:09.920
<v Speaker 1>also own an Apple computer, more than half of them

0:16:09.960 --> 0:16:11.960
<v Speaker 1>own a tablet, a third of them own an Apple

0:16:12.000 --> 0:16:15.240
<v Speaker 1>Watch or a one of the smart speakers, and so Apple,

0:16:15.600 --> 0:16:17.040
<v Speaker 1>I don't know if you want to call them enthusiasts.

0:16:17.040 --> 0:16:19.600
<v Speaker 1>People who own Apple products tend to own the many

0:16:19.640 --> 0:16:22.240
<v Speaker 1>products within the ecosystem, and so when they use something

0:16:22.280 --> 0:16:24.280
<v Speaker 1>like the Apple one services, they get the benefit of

0:16:24.360 --> 0:16:26.800
<v Speaker 1>using those devices. You know, that service across all of

0:16:26.840 --> 0:16:30.400
<v Speaker 1>the devices they own. So very easy, quick startup and

0:16:30.640 --> 0:16:33.920
<v Speaker 1>very easy, fast utility and value to the consumers what

0:16:33.960 --> 0:16:34.880
<v Speaker 1>this device will deliver.

0:16:35.120 --> 0:16:38.080
<v Speaker 6>Judy ask jet Setting from Forster Research. We thank us

0:16:38.080 --> 0:16:40.080
<v Speaker 6>so much. I have more on this later. Of course,

0:16:40.160 --> 0:16:44.760
<v Speaker 6>we've got AI Officionada CEO, Magic Leap, peggiejansonet.

0:16:44.800 --> 0:16:45.720
<v Speaker 4>And also coming up.

0:16:45.760 --> 0:16:49.240
<v Speaker 7>Startup Instabace makes use of open AI, large language models

0:16:49.600 --> 0:16:52.640
<v Speaker 7>and nabs a two billion dollar evaluation the process. More

0:16:52.640 --> 0:16:54.840
<v Speaker 7>on that next with the CEO and at Budwatch.

0:16:55.000 --> 0:17:13.360
<v Speaker 4>This is Bloomberg Business Services.

0:17:13.400 --> 0:17:16.800
<v Speaker 7>Startup Instabase has raised a new round of funding, doubling

0:17:17.000 --> 0:17:20.160
<v Speaker 7>its valuation to two billion dollars, a deal boid by

0:17:20.160 --> 0:17:24.000
<v Speaker 7>the companies you solve new generative AI tools in its

0:17:24.000 --> 0:17:27.359
<v Speaker 7>suite of corporate products. Let's bring in the CEO and and.

0:17:27.920 --> 0:17:30.200
<v Speaker 4>Bardwade for more. Welcome to the program.

0:17:30.240 --> 0:17:30.920
<v Speaker 13>Coatter, we're here.

0:17:32.440 --> 0:17:34.320
<v Speaker 4>Basically you're building on GPT four.

0:17:35.080 --> 0:17:37.600
<v Speaker 13>We use GPT three point five and GP point five

0:17:37.720 --> 0:17:40.719
<v Speaker 13>and for both as part of five product moving fraideword.

0:17:40.800 --> 0:17:44.480
<v Speaker 7>Yes, what was the attractiveness of using that foundation model

0:17:44.920 --> 0:17:47.119
<v Speaker 7>when you were thinking about your future use case and

0:17:47.160 --> 0:17:48.640
<v Speaker 7>functionality so.

0:17:48.600 --> 0:17:50.960
<v Speaker 13>Earlier we use smaller language models. And one of the

0:17:51.000 --> 0:17:53.080
<v Speaker 13>requirements in that case is if you want to make

0:17:53.080 --> 0:17:55.359
<v Speaker 13>it word for like diverse set of problems, you have

0:17:55.440 --> 0:17:58.000
<v Speaker 13>to find tune thoise models where basically retrain it on

0:17:58.040 --> 0:18:00.120
<v Speaker 13>customer data like you have to take a few more sample.

0:18:00.520 --> 0:18:01.840
<v Speaker 4>This one can work out of the box.

0:18:01.920 --> 0:18:04.200
<v Speaker 13>So for example, I can just take the same model

0:18:04.240 --> 0:18:06.919
<v Speaker 13>and apply it for legal discovery use case, or for

0:18:07.000 --> 0:18:11.480
<v Speaker 13>loan processing, or for writing poetry, So you don't need

0:18:11.520 --> 0:18:14.480
<v Speaker 13>to kind of like retrain or find you unit for

0:18:14.520 --> 0:18:16.520
<v Speaker 13>every single use case. Which is a very very very

0:18:16.560 --> 0:18:19.800
<v Speaker 13>valuable stuff for our customers speacause now they can use

0:18:19.840 --> 0:18:20.320
<v Speaker 13>it from data.

0:18:23.720 --> 0:18:29.000
<v Speaker 6>Overall, the focus that you've made on productivity and the

0:18:29.200 --> 0:18:32.240
<v Speaker 6>idea that this is going to sort of revolutionize, this

0:18:32.320 --> 0:18:34.280
<v Speaker 6>is what the market seems to be gripping onto the

0:18:34.320 --> 0:18:37.520
<v Speaker 6>fact that AI is going to add inject trillions of

0:18:37.560 --> 0:18:39.760
<v Speaker 6>dollars of productivity into the overall economy.

0:18:39.760 --> 0:18:41.560
<v Speaker 5>Do you buy into that and do you think that the.

0:18:41.480 --> 0:18:44.000
<v Speaker 6>Efficiency is right here right now and you're able to

0:18:44.119 --> 0:18:47.200
<v Speaker 6>sell this sort of product easily into your product into

0:18:47.240 --> 0:18:48.240
<v Speaker 6>your overall client base.

0:18:49.480 --> 0:18:51.479
<v Speaker 13>Yes, I do believe so, and I think I'll give

0:18:51.480 --> 0:18:55.200
<v Speaker 13>you an example along the spectrum of like from individuals

0:18:55.240 --> 0:18:59.080
<v Speaker 13>to small businesses to LARTI enterprises like currently, AI has

0:18:59.119 --> 0:19:01.720
<v Speaker 13>reached to the point where where like for people like

0:19:01.880 --> 0:19:04.200
<v Speaker 13>us as an individual, if you want to file taxes,

0:19:04.240 --> 0:19:06.080
<v Speaker 13>we can give all the documentsage can generate the tax

0:19:06.119 --> 0:19:07.960
<v Speaker 13>filing for US, saving like a lot of time. And

0:19:08.000 --> 0:19:10.360
<v Speaker 13>you can find like hundreds of huge cases of similar kind.

0:19:10.800 --> 0:19:13.080
<v Speaker 13>Now let's take an example of like small business. Let's

0:19:13.080 --> 0:19:15.359
<v Speaker 13>say you are a legal firm and you have to

0:19:15.560 --> 0:19:19.320
<v Speaker 13>do like you provide immigration you know, sort of like

0:19:19.400 --> 0:19:22.000
<v Speaker 13>farm filling or immigration services. Now you can collect all

0:19:22.000 --> 0:19:24.280
<v Speaker 13>the data from your customers and AI can read all

0:19:24.320 --> 0:19:27.400
<v Speaker 13>of those stuff and generate automatically the farm filling, saving

0:19:27.440 --> 0:19:29.879
<v Speaker 13>a ton of time. And we already work with like

0:19:30.119 --> 0:19:32.680
<v Speaker 13>Larly enterprises. In fact, you know four of the top

0:19:32.720 --> 0:19:35.080
<v Speaker 13>banks are our customers in the US. Globally, we have

0:19:35.080 --> 0:19:38.600
<v Speaker 13>several customers like a standard chartered NatWest, ACSA and so on,

0:19:39.240 --> 0:19:43.400
<v Speaker 13>and mortgage processing or know your customer or client onboarding.

0:19:43.680 --> 0:19:45.840
<v Speaker 13>We have been able to automate althose we are seeing

0:19:45.920 --> 0:19:50.160
<v Speaker 13>that AI can significantly increage productivity both at individual level

0:19:50.240 --> 0:19:51.800
<v Speaker 13>as well as at operational level.

0:19:52.160 --> 0:19:54.280
<v Speaker 6>I can tell that being able to reel out all

0:19:54.320 --> 0:19:56.760
<v Speaker 6>these current customers the adoption rate, that's going to be

0:19:57.119 --> 0:19:59.959
<v Speaker 6>easier to raise funds and that sort of an environment.

0:20:00.040 --> 0:20:02.520
<v Speaker 6>But this is a difficult environment to raise funds. How

0:20:02.640 --> 0:20:04.639
<v Speaker 6>quickly could you raise them? Was that the amount that

0:20:04.680 --> 0:20:08.000
<v Speaker 6>you wanted and ultimately what you put the money to work.

0:20:07.840 --> 0:20:08.240
<v Speaker 5>For a nut.

0:20:09.600 --> 0:20:12.439
<v Speaker 13>So yeah, this environment is definitely slightly more difficult than

0:20:12.480 --> 0:20:14.959
<v Speaker 13>in our prior environments that we have been In. All

0:20:14.960 --> 0:20:17.480
<v Speaker 13>the prior environments, you know, we never had to go

0:20:17.520 --> 0:20:19.280
<v Speaker 13>out to the market to rage. In fact, somebody came

0:20:19.320 --> 0:20:22.680
<v Speaker 13>and offered us the money. In this case, I mean

0:20:22.680 --> 0:20:24.440
<v Speaker 13>we talked to a few investor. It took us about

0:20:24.520 --> 0:20:28.239
<v Speaker 13>three to five months of time to rage around, but

0:20:28.320 --> 0:20:30.960
<v Speaker 13>it wasn't super complicated, mainly because most of the investors

0:20:31.000 --> 0:20:34.080
<v Speaker 13>who participated but already had a gifting investors which helped

0:20:34.160 --> 0:20:34.880
<v Speaker 13>us significantly.

0:20:34.960 --> 0:20:37.680
<v Speaker 7>The argent Sety of Tribe Capital been on this program,

0:20:37.920 --> 0:20:39.400
<v Speaker 7>takes a board observer's.

0:20:38.960 --> 0:20:39.439
<v Speaker 4>Seat with you.

0:20:39.760 --> 0:20:42.560
<v Speaker 7>What is it like doing business with open AI. I

0:20:42.600 --> 0:20:46.159
<v Speaker 7>know Brad light Cap helped you technologically, but what is

0:20:46.160 --> 0:20:50.480
<v Speaker 7>the financial relationship between you? Is it good value using

0:20:50.760 --> 0:20:51.840
<v Speaker 7>their underlying model.

0:20:52.160 --> 0:20:54.040
<v Speaker 13>So it's definitely a good value for us in the

0:20:54.080 --> 0:20:56.919
<v Speaker 13>sense that we can help our customers get value very

0:20:56.960 --> 0:21:00.320
<v Speaker 13>very quickly. From the perspective of opening aird relationship. Given

0:21:00.359 --> 0:21:02.960
<v Speaker 13>that we worked with very regulated environments like banks, we

0:21:03.040 --> 0:21:05.919
<v Speaker 13>had to get into a scuccle partnership like how what

0:21:05.960 --> 0:21:08.080
<v Speaker 13>happens with their attendant policy, What is privacy?

0:21:08.080 --> 0:21:08.840
<v Speaker 4>What is security?

0:21:08.880 --> 0:21:11.040
<v Speaker 13>How we can run the models in a way where

0:21:11.320 --> 0:21:13.840
<v Speaker 13>it is compliant with the requirements that we have. So

0:21:13.880 --> 0:21:16.159
<v Speaker 13>that's why we had to develop a deep relationship with

0:21:16.280 --> 0:21:18.400
<v Speaker 13>Toponai to make sure that we can run it that way.

0:21:18.680 --> 0:21:23.000
<v Speaker 7>Fifteen seconds. Dreams of going public? Yes, oh okay, one

0:21:23.000 --> 0:21:25.080
<v Speaker 7>word answer, Caroline, dreams are going public.

0:21:25.520 --> 0:21:27.920
<v Speaker 6>He got the memo insta a CEO and had great

0:21:27.920 --> 0:21:38.399
<v Speaker 6>speaking with you. Thank you and Aunt Valdoaje there, welcome

0:21:38.400 --> 0:21:39.440
<v Speaker 6>back to Rumol Technology.

0:21:39.440 --> 0:21:40.360
<v Speaker 5>I'm Caroline had in New.

0:21:40.320 --> 0:21:43.320
<v Speaker 4>York Andamed Ludlow out here in San Francisco.

0:21:43.359 --> 0:21:43.560
<v Speaker 10>Caroy.

0:21:43.600 --> 0:21:45.600
<v Speaker 7>Let's get a quick check in on the markets and

0:21:45.640 --> 0:21:49.080
<v Speaker 7>in true for real muted session, not much going on.

0:21:49.200 --> 0:21:52.680
<v Speaker 7>SMP five hundred tenth percent, basically flat on the Nasdaq

0:21:52.720 --> 0:21:56.879
<v Speaker 7>one hundred some rotation. It's financial, some bottom feeding potentially

0:21:56.920 --> 0:21:59.240
<v Speaker 7>going on. Not much of a clear catalyst as we've

0:21:59.240 --> 0:22:01.719
<v Speaker 7>had in recent sessions. The yield on US ten year

0:22:01.800 --> 0:22:04.840
<v Speaker 7>three point seven percent up by a couple of basis points.

0:22:04.880 --> 0:22:08.560
<v Speaker 7>Bitcoin kind of stabilizing. When those headlines came out about

0:22:08.760 --> 0:22:11.920
<v Speaker 7>the sec sewing coinbase, there was a knee jerk reaction

0:22:12.480 --> 0:22:14.520
<v Speaker 7>adding to the events of the last twenty four hours,

0:22:14.720 --> 0:22:17.200
<v Speaker 7>and the SEC also looking at Binance, but we've kind

0:22:17.200 --> 0:22:19.840
<v Speaker 7>of recovered a little bit twenty six thousand US dollars

0:22:20.040 --> 0:22:23.240
<v Speaker 7>per token or so in terms of the individual mover

0:22:23.800 --> 0:22:27.320
<v Speaker 7>one to the downside, but given its size its market cap,

0:22:27.359 --> 0:22:29.439
<v Speaker 7>it's waiting in major indices. We take a look at

0:22:29.480 --> 0:22:32.639
<v Speaker 7>Apple kind of trading neither here nor there. A lot

0:22:32.640 --> 0:22:37.200
<v Speaker 7>of the streets saying that the announcements from WWDC, the

0:22:37.240 --> 0:22:40.639
<v Speaker 7>specifics on the Vision Pro mixed reality headset that's priced

0:22:40.640 --> 0:22:43.240
<v Speaker 7>into the stock or it's to sell the news event

0:22:43.280 --> 0:22:45.040
<v Speaker 7>for a lot of a lot of the market softer

0:22:45.119 --> 0:22:47.520
<v Speaker 7>by about half percentage point, but of course coming off

0:22:47.800 --> 0:22:50.919
<v Speaker 7>fresh intra day record, which it had come off anyway

0:22:50.920 --> 0:22:52.040
<v Speaker 7>after the events of the keynote.

0:22:52.119 --> 0:22:52.479
<v Speaker 4>Character.

0:22:52.680 --> 0:22:55.040
<v Speaker 6>Yeah, and it was notable that that keynote, how perhaps

0:22:55.200 --> 0:22:58.040
<v Speaker 6>of official intelligence was just leased in there into the

0:22:58.080 --> 0:23:00.639
<v Speaker 6>future of this product, in the future of the chips

0:23:00.720 --> 0:23:03.440
<v Speaker 6>of course, that they were announcing the strength of capability

0:23:03.600 --> 0:23:06.440
<v Speaker 6>generative AI being one of them, were going to dig

0:23:06.440 --> 0:23:08.560
<v Speaker 6>into artificial intelligence a little bit more in our VC

0:23:08.640 --> 0:23:10.960
<v Speaker 6>spotlight segment, and we want to bring in an investor

0:23:10.960 --> 0:23:14.360
<v Speaker 6>who's also a founder deeply rooted in AI. Jacqueline Rice

0:23:14.400 --> 0:23:16.920
<v Speaker 6>Nelson is here general partner and early stage bench fund

0:23:16.960 --> 0:23:19.400
<v Speaker 6>coalition operators and CEO and co founder.

0:23:19.160 --> 0:23:20.400
<v Speaker 5>Of Tribe Ai.

0:23:20.440 --> 0:23:23.280
<v Speaker 6>It's a network of all the world's top technologists that

0:23:23.359 --> 0:23:27.120
<v Speaker 6>builds advanced AI solutions for companies of all sizes, and

0:23:27.160 --> 0:23:28.680
<v Speaker 6>that coalition must be.

0:23:28.680 --> 0:23:31.080
<v Speaker 5>Rather busy right now. I mean, how much inbound are

0:23:31.119 --> 0:23:32.680
<v Speaker 5>you getting a lot?

0:23:33.800 --> 0:23:36.520
<v Speaker 14>Which is on both sides of the business. Actually, so

0:23:37.920 --> 0:23:40.960
<v Speaker 14>right now you are hearing about lots of innovation happening

0:23:41.040 --> 0:23:46.439
<v Speaker 14>across the tech sector and with AI companies specifically tons

0:23:46.440 --> 0:23:50.159
<v Speaker 14>of early stage development. It's never been more attractive to

0:23:50.280 --> 0:23:53.840
<v Speaker 14>start a company, and certainly an AI company. And then

0:23:54.080 --> 0:23:56.920
<v Speaker 14>on the Tribe side of the house, companies have never

0:23:56.960 --> 0:24:00.840
<v Speaker 14>needed more help to become AI companies. And so we

0:24:00.920 --> 0:24:03.479
<v Speaker 14>are really helping with that sort of last mile of

0:24:03.560 --> 0:24:08.719
<v Speaker 14>delivery from experimentation into really helping companies build solutions that

0:24:08.720 --> 0:24:10.320
<v Speaker 14>they can put in front of the market and the product.

0:24:11.160 --> 0:24:13.439
<v Speaker 5>Look, what the market, what investors.

0:24:13.480 --> 0:24:16.800
<v Speaker 6>What everyone is trying to discern is whether the hype

0:24:16.880 --> 0:24:20.040
<v Speaker 6>is reality, Whether all these talk of trillions of dollars

0:24:20.119 --> 0:24:23.520
<v Speaker 6>being added to markets of overall GDP and productivity is

0:24:23.560 --> 0:24:28.320
<v Speaker 6>actually happening. When you're building with tribai inside corporate America

0:24:28.400 --> 0:24:31.280
<v Speaker 6>right now, are you seeing real productivity gains.

0:24:32.280 --> 0:24:36.920
<v Speaker 14>It's still early in I think the AI market period,

0:24:37.480 --> 0:24:41.840
<v Speaker 14>but if you even look pregenerative AI, there have been

0:24:41.920 --> 0:24:44.960
<v Speaker 14>tremendous gains from machine learning. You really only need to

0:24:44.960 --> 0:24:48.239
<v Speaker 14>look at Google, Amazon, Facebook, etc. There probably isn't a

0:24:48.480 --> 0:24:51.280
<v Speaker 14>part of these businesses that isn't running with AI and

0:24:51.320 --> 0:24:54.679
<v Speaker 14>machine learning. You just mentioned it yourself. Even though Apple

0:24:54.760 --> 0:24:59.680
<v Speaker 14>didn't talk about AI explicitly, it was embedded into everything

0:24:59.720 --> 0:25:03.480
<v Speaker 14>man ounced yesterday. And this is really the nature of

0:25:03.520 --> 0:25:07.080
<v Speaker 14>how all businesses will be built going forward, and it

0:25:07.119 --> 0:25:10.520
<v Speaker 14>is just the beginning of truly experimenting for many of

0:25:10.560 --> 0:25:15.720
<v Speaker 14>these much larger organizations, true incumbent enterprise players who are

0:25:15.720 --> 0:25:20.720
<v Speaker 14>building with AI truly is experiments. The pace at which

0:25:20.760 --> 0:25:23.600
<v Speaker 14>they are moving to adopt these technologies is frankly on

0:25:23.720 --> 0:25:27.119
<v Speaker 14>like anything I've ever seen before. But I think the

0:25:27.160 --> 0:25:31.280
<v Speaker 14>gains from them are still sort of in that experimental phase.

0:25:31.600 --> 0:25:33.800
<v Speaker 14>And this is very much where my thesis is on

0:25:33.880 --> 0:25:37.880
<v Speaker 14>the market, is that we are still so early and

0:25:38.040 --> 0:25:42.600
<v Speaker 14>the opportunity for enterprises to become AI companies is going

0:25:42.640 --> 0:25:45.520
<v Speaker 14>to create massive value creation across the economy.

0:25:46.200 --> 0:25:48.960
<v Speaker 7>Well, Jacqueline, with your venture capital hat on, how do

0:25:49.080 --> 0:25:51.879
<v Speaker 7>you play the market in real terms? Twelve and a

0:25:51.920 --> 0:25:54.959
<v Speaker 7>half million dollars doesn't seem like a lot of dry powder,

0:25:55.040 --> 0:25:57.520
<v Speaker 7>even at the seed or early stage. You know, we

0:25:57.640 --> 0:26:00.879
<v Speaker 7>just had insta base on two billion evaluation for a

0:26:00.960 --> 0:26:04.320
<v Speaker 7>company built on GPT three point five. But it's basically

0:26:04.320 --> 0:26:07.679
<v Speaker 7>an enterprise company. So how do you actually have a

0:26:07.720 --> 0:26:11.400
<v Speaker 7>meaningful impact and establish a portfolio of companies that will

0:26:11.440 --> 0:26:14.760
<v Speaker 7>give you a realistic chance of exit down the road.

0:26:15.280 --> 0:26:15.520
<v Speaker 3>Yeah?

0:26:15.560 --> 0:26:19.000
<v Speaker 14>Absolutely, And this is what's on everyone's mind right now.

0:26:19.240 --> 0:26:21.400
<v Speaker 14>So when I look at the early stage market, I'm

0:26:21.400 --> 0:26:25.320
<v Speaker 14>really looking at pre seed through Series A, and these

0:26:25.359 --> 0:26:29.200
<v Speaker 14>opportunities are still quite nacent. Some of them are priced

0:26:29.240 --> 0:26:33.480
<v Speaker 14>at crazy levels, and others are still quite attractive from

0:26:33.480 --> 0:26:36.760
<v Speaker 14>a pricing perspective. So there's really a range, and I

0:26:36.800 --> 0:26:38.760
<v Speaker 14>think we are getting in on the ground floor.

0:26:39.160 --> 0:26:40.960
<v Speaker 10>What I get really excited.

0:26:40.520 --> 0:26:43.680
<v Speaker 14>About is companies that are actually using AI to solve

0:26:43.800 --> 0:26:46.679
<v Speaker 14>real problems. And so I really do think of this

0:26:46.760 --> 0:26:51.240
<v Speaker 14>as sort of the new vertical SaaS. So AI will

0:26:51.280 --> 0:26:57.119
<v Speaker 14>be used to solve problems for particular types of verticals, businesses, buyers,

0:26:57.760 --> 0:26:59.280
<v Speaker 14>and that is where I think we're going to see

0:26:59.280 --> 0:27:03.240
<v Speaker 14>the most game from a valuation and tech perspective long term,

0:27:03.760 --> 0:27:06.439
<v Speaker 14>is when AI is not just used as a buzzword

0:27:07.200 --> 0:27:09.800
<v Speaker 14>or as something to get the highest pricing or valuation

0:27:09.880 --> 0:27:13.240
<v Speaker 14>they possibly can, but actually to solve a real need

0:27:13.320 --> 0:27:18.880
<v Speaker 14>for customers and for target buyers that otherwise is being

0:27:18.880 --> 0:27:20.000
<v Speaker 14>completely unserved.

0:27:20.880 --> 0:27:25.520
<v Speaker 7>Jacqueline, is there a specific use case or area that

0:27:26.200 --> 0:27:30.000
<v Speaker 7>you think generative aior foundation models will unlock? Tell me

0:27:31.119 --> 0:27:34.440
<v Speaker 7>what is it that gets you excited? There's maybe underappreciated

0:27:34.480 --> 0:27:35.040
<v Speaker 7>in the market.

0:27:35.240 --> 0:27:38.159
<v Speaker 14>Yeah, there's really so much that gets me excited. I

0:27:38.160 --> 0:27:42.000
<v Speaker 14>think where all the focus today is on just how

0:27:42.160 --> 0:27:47.320
<v Speaker 14>fast things like chatchpt have been adopted, But this has

0:27:47.359 --> 0:27:53.600
<v Speaker 14>happened before. So if you look at consumer adoption of Netflix, Instagram, TikTok,

0:27:54.520 --> 0:27:59.000
<v Speaker 14>consumers have actually moved through these platform shifts at really

0:27:59.000 --> 0:28:03.359
<v Speaker 14>fast paces. Now AI is moving faster for consumers, But

0:28:03.440 --> 0:28:06.240
<v Speaker 14>what's most interesting to me is actually the pace at

0:28:06.240 --> 0:28:09.879
<v Speaker 14>which businesses are moving, and that, frankly, is what is

0:28:10.119 --> 0:28:14.440
<v Speaker 14>so different about this and feels like a true platform shift.

0:28:14.880 --> 0:28:17.800
<v Speaker 14>And when I look at past platform shifts, so thank

0:28:17.920 --> 0:28:21.800
<v Speaker 14>data migration and cloud even the SaaS wave.

0:28:22.280 --> 0:28:24.360
<v Speaker 10>These if these were waves.

0:28:23.960 --> 0:28:27.960
<v Speaker 14>AI is the tsunami, and the tsunami the large wave

0:28:28.160 --> 0:28:31.320
<v Speaker 14>is coming. And I think this is where I see

0:28:31.359 --> 0:28:35.840
<v Speaker 14>the tremendous opportunity both for Tribe but from an investment perspective,

0:28:36.040 --> 0:28:40.360
<v Speaker 14>is to help some of these larger companies, enterprises and

0:28:40.440 --> 0:28:44.320
<v Speaker 14>B to B companies actually adopt this technology into their

0:28:44.360 --> 0:28:47.440
<v Speaker 14>business and leverage it for the full capabilities of their data.

0:28:47.960 --> 0:28:49.080
<v Speaker 5>And that takes talent.

0:28:49.560 --> 0:28:55.320
<v Speaker 6>What's so interesting about Tribe AI member owning network, the people,

0:28:55.400 --> 0:28:57.440
<v Speaker 6>the experts that you have on there. How are they

0:28:57.560 --> 0:29:01.400
<v Speaker 6>sort of setting themselves? Are you seeing that? Are they consulting?

0:29:01.600 --> 0:29:04.440
<v Speaker 6>Are they being remunerated for this? Are they wanting to

0:29:04.440 --> 0:29:07.040
<v Speaker 6>take full time roles? Is the market exploding for one

0:29:07.080 --> 0:29:10.400
<v Speaker 6>type of talent in Techwina.

0:29:09.680 --> 0:29:11.040
<v Speaker 10>Yes, it is.

0:29:11.560 --> 0:29:14.400
<v Speaker 14>I think when people think about AI, they really think

0:29:14.440 --> 0:29:17.520
<v Speaker 14>about just one particular skill set in this market. They

0:29:17.520 --> 0:29:21.280
<v Speaker 14>think about the traditional classic AI engineers, the types of

0:29:21.280 --> 0:29:25.000
<v Speaker 14>people who can build these foundation models. What's most interesting

0:29:25.040 --> 0:29:27.920
<v Speaker 14>to me is one, I don't think that talent set

0:29:28.040 --> 0:29:32.320
<v Speaker 14>is actually as scarce as other people do. So we

0:29:32.440 --> 0:29:36.400
<v Speaker 14>have managed actually a mass hundreds of truly the top

0:29:36.520 --> 0:29:41.960
<v Speaker 14>tier talent in this industry, and they want they're like

0:29:42.080 --> 0:29:47.200
<v Speaker 14>any top employees. Many companies listening in CEOs are going

0:29:47.240 --> 0:29:51.200
<v Speaker 14>to feel they have similar conversations with their employees, but

0:29:51.280 --> 0:29:54.080
<v Speaker 14>the things that impact them aren't any longer sort of

0:29:54.160 --> 0:29:58.440
<v Speaker 14>kombucha or ping pong. It's actually really making an impact,

0:29:59.160 --> 0:30:02.360
<v Speaker 14>and so looking for opportunities where they can really learn,

0:30:02.400 --> 0:30:06.080
<v Speaker 14>where they can earn and be remunerated for their skills,

0:30:06.320 --> 0:30:09.400
<v Speaker 14>but actually make a real impact and use their skills

0:30:09.400 --> 0:30:12.920
<v Speaker 14>to advance the field of AI and really make a

0:30:12.920 --> 0:30:15.200
<v Speaker 14>difference in companies is what we're really seeing.

0:30:15.200 --> 0:30:16.360
<v Speaker 10>Talent cares about.

0:30:16.320 --> 0:30:19.160
<v Speaker 6>How diverse is that talent, because there's a lot of

0:30:19.200 --> 0:30:22.600
<v Speaker 6>focus that this bias in AI, the AI is probably

0:30:22.600 --> 0:30:26.080
<v Speaker 6>going to disrupt jobs mainly held by women. How diverse

0:30:26.440 --> 0:30:28.560
<v Speaker 6>people of color women are there in your talent pool.

0:30:29.200 --> 0:30:32.280
<v Speaker 14>So in our talent pool, we take diversity very seriously.

0:30:32.600 --> 0:30:35.800
<v Speaker 14>And this is of course I'm a woman founder who

0:30:35.800 --> 0:30:40.280
<v Speaker 14>has built her career in part focused on diversity. It's

0:30:40.320 --> 0:30:43.640
<v Speaker 14>something I deeply care about. And when you look at

0:30:43.680 --> 0:30:45.800
<v Speaker 14>tech more broadly, diversity has.

0:30:45.640 --> 0:30:46.360
<v Speaker 10>Been a challenge.

0:30:46.360 --> 0:30:49.600
<v Speaker 14>When you look at AI and specialty engineering areas, it's

0:30:49.640 --> 0:30:54.880
<v Speaker 14>even more challenging, And so what we make a very

0:30:54.960 --> 0:30:57.480
<v Speaker 14>conservative effort to make sure we're recruiting a diverse talent

0:30:57.520 --> 0:31:01.000
<v Speaker 14>pool and staffing a diverse talent pool across Jackson companies.

0:31:01.840 --> 0:31:03.800
<v Speaker 14>And then beyond that, I think what I spent a

0:31:03.800 --> 0:31:07.520
<v Speaker 14>lot of time thinking about is incentives. So ethical AI

0:31:07.800 --> 0:31:10.400
<v Speaker 14>and building AI that reduces bias is going to be

0:31:10.400 --> 0:31:13.280
<v Speaker 14>critical no matter how diverse the network is, because we

0:31:13.400 --> 0:31:16.680
<v Speaker 14>all are humans infallible, and so how can we actually

0:31:16.720 --> 0:31:22.800
<v Speaker 14>build incentives into really al aspects of development in this

0:31:22.920 --> 0:31:26.840
<v Speaker 14>field such that people are actually building responsibly and building

0:31:26.880 --> 0:31:32.160
<v Speaker 14>systems and programs that will make humanity better, not just

0:31:32.200 --> 0:31:33.440
<v Speaker 14>make companies more efficient.

0:31:35.160 --> 0:31:39.720
<v Speaker 7>Coalition operates his partner and Tribe AI CEO and co founder,

0:31:39.800 --> 0:31:40.880
<v Speaker 7>Jack Laine Brice Nelson.

0:31:40.920 --> 0:31:42.480
<v Speaker 10>Thank you, thank you for having me.

0:31:43.200 --> 0:31:44.000
<v Speaker 4>Now so ahead.

0:31:44.080 --> 0:31:47.600
<v Speaker 7>First day in the books, it's Linda Yakarino's first day

0:31:47.640 --> 0:31:48.480
<v Speaker 7>is Twitter ceo.

0:31:48.680 --> 0:31:51.400
<v Speaker 4>More on what's in store for her after the break.

0:31:51.600 --> 0:32:20.720
<v Speaker 4>This is Bloomberg time now for talking tech.

0:32:20.800 --> 0:32:25.000
<v Speaker 7>The Japanese government is planning to triple domestically produced chips

0:32:25.400 --> 0:32:29.000
<v Speaker 7>by twenty thirty, with a focus on economic security measures

0:32:29.200 --> 0:32:34.560
<v Speaker 7>and advanced technology like Generator AI and TSMC just tempered

0:32:34.600 --> 0:32:37.600
<v Speaker 7>its outlook for twenty twenty three. Capital spending is the

0:32:37.640 --> 0:32:41.320
<v Speaker 7>main chip maker to Apple, grapples with soft demand for

0:32:41.400 --> 0:32:45.920
<v Speaker 7>smartphones in particular, but also computing chips. TSMC rear firm

0:32:46.000 --> 0:32:48.720
<v Speaker 7>projections for revenue in the first half of twenty twenty three,

0:32:48.880 --> 0:32:52.680
<v Speaker 7>which will decline by about ten percent in US dollar terms.

0:32:53.000 --> 0:32:56.640
<v Speaker 7>And buy You an ed tech company that's provides services

0:32:56.640 --> 0:32:59.000
<v Speaker 7>to more than one hundred and fifty million students around

0:32:59.040 --> 0:33:01.960
<v Speaker 7>the world has skipped payments on a one point two

0:33:02.000 --> 0:33:06.080
<v Speaker 7>billion dollar alone, escalating a conflict with lenders. The firm

0:33:06.080 --> 0:33:08.600
<v Speaker 7>says it won't make any further payment to the lenders

0:33:08.960 --> 0:33:11.960
<v Speaker 7>until their dispute is decided in court.

0:33:12.320 --> 0:33:15.960
<v Speaker 6>Carot fascinating global array of stories. Let's go even more

0:33:15.960 --> 0:33:18.200
<v Speaker 6>global right now ed and turn to one of the

0:33:18.240 --> 0:33:20.640
<v Speaker 6>most red stories on Bloomberg right now most tweeted about

0:33:20.680 --> 0:33:24.280
<v Speaker 6>it's going viral shock merger between the PGA Tour and

0:33:24.320 --> 0:33:27.680
<v Speaker 6>it's Saudi backed rival Live Golf's talk about that and

0:33:27.720 --> 0:33:30.640
<v Speaker 6>the Middle East Kingdom's money increasingly influencing not just our

0:33:30.640 --> 0:33:33.080
<v Speaker 6>world of tech of VC, but also the world of sports.

0:33:33.560 --> 0:33:35.800
<v Speaker 6>And please to say Bloomberg Scarlet food rush is to

0:33:35.840 --> 0:33:39.640
<v Speaker 6>set all about this, and okay, this seems like quite

0:33:39.680 --> 0:33:41.360
<v Speaker 6>a sudden change of tune.

0:33:41.080 --> 0:33:44.840
<v Speaker 15>Coming from the player completely because they were just locked

0:33:44.840 --> 0:33:47.920
<v Speaker 15>into this vitriol and a lot of charges flying back

0:33:47.920 --> 0:33:50.760
<v Speaker 15>and forth losses between the two. They're a pretty entrenched

0:33:50.760 --> 0:33:53.760
<v Speaker 15>in their two sides, the PGA Tour arguing that live

0:33:53.840 --> 0:33:57.120
<v Speaker 15>Golf was coming in and stealing away players with lots

0:33:57.120 --> 0:33:59.600
<v Speaker 15>of money, which of course it was doing, and Live

0:33:59.640 --> 0:34:03.120
<v Speaker 15>Golf's saying that the PAGA Tour was acting acting monopolistically

0:34:03.240 --> 0:34:06.479
<v Speaker 15>by banning anyone who participated in live golf tournaments from

0:34:06.520 --> 0:34:07.920
<v Speaker 15>playing in the PGA Tour.

0:34:08.280 --> 0:34:09.480
<v Speaker 5>So they were suing each other.

0:34:09.600 --> 0:34:12.600
<v Speaker 15>It looked like this break this sport, a civil war

0:34:12.719 --> 0:34:14.160
<v Speaker 15>in the sport, and then all of a sudden you

0:34:14.200 --> 0:34:17.400
<v Speaker 15>get a surprise merger with the two sides saying, you

0:34:17.400 --> 0:34:19.520
<v Speaker 15>know what, all the lawsuits will now end, and the

0:34:19.560 --> 0:34:22.480
<v Speaker 15>Governor of Saudi Arabia Sovereign Wealth Fund, which of course

0:34:22.760 --> 0:34:25.040
<v Speaker 15>backs the Live Golf Tour, will be the new chairman

0:34:25.080 --> 0:34:27.520
<v Speaker 15>of this as yet unnamed company, and the PGA Tour

0:34:27.560 --> 0:34:28.799
<v Speaker 15>will point the majority of the ward.

0:34:29.880 --> 0:34:33.440
<v Speaker 6>So, if we're going in with sporting analogies, has someone

0:34:33.560 --> 0:34:34.120
<v Speaker 6>won here?

0:34:34.320 --> 0:34:35.000
<v Speaker 5>And as it Live.

0:34:35.560 --> 0:34:38.360
<v Speaker 15>I'm not sure, it's not clear, but it would seem

0:34:38.400 --> 0:34:41.200
<v Speaker 15>that the PGA has kind of conceded here because it

0:34:41.239 --> 0:34:45.279
<v Speaker 15>was really staking this claim saying that this what Live

0:34:45.400 --> 0:34:47.200
<v Speaker 15>was doing was trying to buy players. They were the

0:34:47.200 --> 0:34:50.279
<v Speaker 15>home of the traditional golf PGA Tour was and Live

0:34:50.400 --> 0:34:53.160
<v Speaker 15>was coming in as an upstart. So certainly, by the

0:34:53.200 --> 0:34:56.720
<v Speaker 15>looks of it, with Saudi money now infusing the PGA

0:34:56.800 --> 0:34:59.240
<v Speaker 15>Tour or this new company, you could make that argument.

0:34:59.600 --> 0:35:02.879
<v Speaker 15>On the other their hand, LIV didn't really have any

0:35:03.040 --> 0:35:06.719
<v Speaker 15>broadcastability for its tournament. Yes, they signed a deal with

0:35:06.760 --> 0:35:08.920
<v Speaker 15>CW Networks, but that was in the US.

0:35:09.239 --> 0:35:10.160
<v Speaker 5>Beyond that, they.

0:35:10.040 --> 0:35:13.480
<v Speaker 15>Were streaming on YouTube and also on their own website,

0:35:13.560 --> 0:35:15.600
<v Speaker 15>so it's not like they were getting a lot of viewers,

0:35:15.680 --> 0:35:17.719
<v Speaker 15>and they certainly weren't attracting sponsors either.

0:35:18.360 --> 0:35:19.640
<v Speaker 6>I mean, there are quite a lot of viewers on

0:35:19.680 --> 0:35:23.000
<v Speaker 6>YouTube maybe, and we're talking tech of course, but ed,

0:35:23.080 --> 0:35:25.560
<v Speaker 6>I mean, this does feel like something that we talk

0:35:25.600 --> 0:35:27.640
<v Speaker 6>about day and day out of just the power and

0:35:27.680 --> 0:35:32.200
<v Speaker 6>the deep pockets, particularly sal Arabia of Middle East in general,

0:35:32.440 --> 0:35:35.480
<v Speaker 6>and ultimately that brings power, that brings board membership, that

0:35:35.520 --> 0:35:37.640
<v Speaker 6>brings a voice, It.

0:35:37.600 --> 0:35:40.120
<v Speaker 7>Brings a voice. It's a debate that's been raising. I

0:35:40.239 --> 0:35:43.160
<v Speaker 7>bet you, Scarlet Food watched Full Swing on Netflix. I

0:35:43.200 --> 0:35:47.759
<v Speaker 7>watched this and they, you know, they documented this whole saga.

0:35:47.880 --> 0:35:51.160
<v Speaker 7>But do you know what's crazy, how many golf fans

0:35:51.200 --> 0:35:54.440
<v Speaker 7>there are right now? You go on Google trends, yes, Scarlett, Yeah,

0:35:54.560 --> 0:35:59.600
<v Speaker 7>immediate spike in searches on this topic, real time data

0:35:59.760 --> 0:36:02.120
<v Speaker 7>because it's like, how many people really played golf and

0:36:02.160 --> 0:36:04.719
<v Speaker 7>a searching for it on Google trends. But also it's

0:36:04.719 --> 0:36:07.160
<v Speaker 7>the most trending thing on Twitter in the US.

0:36:07.480 --> 0:36:10.279
<v Speaker 15>It is surprising because before the pandemic, it felt like

0:36:10.320 --> 0:36:12.680
<v Speaker 15>golf was going into this decline where everyone was saying,

0:36:12.680 --> 0:36:13.080
<v Speaker 15>this is a.

0:36:13.000 --> 0:36:13.960
<v Speaker 5>Stodgy old sport.

0:36:14.040 --> 0:36:16.960
<v Speaker 15>They really need to find ways to reach a younger audience,

0:36:17.040 --> 0:36:20.360
<v Speaker 15>younger viewers, younger players. And then the pandemic came along,

0:36:20.400 --> 0:36:23.160
<v Speaker 15>and then you have this naturally socially distanced sport. Everyone

0:36:23.200 --> 0:36:26.239
<v Speaker 15>wanted to get outside and it was a revival in

0:36:26.280 --> 0:36:29.720
<v Speaker 15>the sport of golf. And as you mentioned at Full Swing,

0:36:29.760 --> 0:36:32.520
<v Speaker 15>the Netflix documentary on golf, it just worked out running

0:36:32.560 --> 0:36:36.480
<v Speaker 15>wise that it happened right along the live golf of dispute,

0:36:36.520 --> 0:36:39.879
<v Speaker 15>and so you had players talking about it, deliberating over

0:36:39.920 --> 0:36:41.960
<v Speaker 15>it their press conferences, where people didn't want to answer

0:36:42.080 --> 0:36:44.879
<v Speaker 15>questions on it. So timing wise, it all worked out

0:36:45.160 --> 0:36:47.279
<v Speaker 15>for the sport of golf. Yes, for the PGA Tour,

0:36:47.400 --> 0:36:50.359
<v Speaker 15>certainly it felt like it was being encroached upon by

0:36:50.440 --> 0:36:53.880
<v Speaker 15>Live Golf, and I guess now in retrospect, it seems

0:36:53.880 --> 0:36:56.880
<v Speaker 15>inevitable that something had to happen between these two sides.

0:36:56.920 --> 0:36:59.239
<v Speaker 15>But at the time they were really dug in, it

0:36:59.239 --> 0:37:02.080
<v Speaker 15>didn't seem like any daylight there was any way that

0:37:02.120 --> 0:37:03.600
<v Speaker 15>the two could come together.

0:37:04.640 --> 0:37:08.479
<v Speaker 7>I actually asked Netflix for some viewership figures around Full Swing.

0:37:08.520 --> 0:37:11.560
<v Speaker 7>I was curious how many people actually watched it, and

0:37:11.600 --> 0:37:14.840
<v Speaker 7>they haven't replied yet. We will bring you that data, Scarlett.

0:37:14.880 --> 0:37:16.920
<v Speaker 7>I guess it all comes down to money. Yes, you know,

0:37:16.960 --> 0:37:19.760
<v Speaker 7>there's been some interviews this morning, They've put out statements.

0:37:19.800 --> 0:37:22.319
<v Speaker 7>What do we know about the investment and what's at

0:37:22.360 --> 0:37:22.879
<v Speaker 7>stake here?

0:37:23.200 --> 0:37:25.440
<v Speaker 15>Well, we don't know how much Saudi Arabia is going

0:37:25.480 --> 0:37:28.520
<v Speaker 15>to put into this new, as yet unnamed company, but

0:37:28.680 --> 0:37:31.400
<v Speaker 15>they will have a stake. It will be a minority stake,

0:37:31.440 --> 0:37:34.680
<v Speaker 15>but we do know that reportedly, the Sovereign Wealth Fund

0:37:35.080 --> 0:37:38.000
<v Speaker 15>Public Investment Fund reportedly made a two billion dollar investment

0:37:38.080 --> 0:37:41.480
<v Speaker 15>in Live Golf. They back, of course, the Golf League

0:37:41.480 --> 0:37:43.600
<v Speaker 15>as well, so if more money was needed, they would

0:37:43.640 --> 0:37:46.839
<v Speaker 15>certainly plow that into it. My understanding is that Live

0:37:46.880 --> 0:37:48.640
<v Speaker 15>goolf did not make a whole lot of money in

0:37:48.680 --> 0:37:52.120
<v Speaker 15>its first year, about seventy five million at most in

0:37:52.239 --> 0:37:55.279
<v Speaker 15>revenue last year, and again that goes back to the

0:37:55.440 --> 0:37:58.080
<v Speaker 15>lack of big sponsors, because most of the sponsors were

0:37:58.200 --> 0:38:01.760
<v Speaker 15>committed to the PGA Tour were Now that does of course,

0:38:02.320 --> 0:38:04.879
<v Speaker 15>with the two sides deciding to come together, there's still

0:38:04.920 --> 0:38:07.040
<v Speaker 15>a lot of question marks about all these legal battles

0:38:07.040 --> 0:38:09.680
<v Speaker 15>because even though the two sides have decided to end

0:38:09.719 --> 0:38:13.479
<v Speaker 15>their losses against each other, the Department of Justice got

0:38:13.520 --> 0:38:17.600
<v Speaker 15>boiled into this as well. They're investigating the PGA Tour

0:38:17.719 --> 0:38:21.600
<v Speaker 15>for monopolistic anti trust behavior and maybe they'll come in

0:38:21.600 --> 0:38:24.000
<v Speaker 15>and say, you know what, the two sides you can't merge.

0:38:24.400 --> 0:38:24.839
<v Speaker 5>We don't know.

0:38:24.880 --> 0:38:28.080
<v Speaker 7>And in that instance was because the PGA Tours said

0:38:28.120 --> 0:38:30.920
<v Speaker 7>to the players, you can't go. You know, it's just

0:38:30.960 --> 0:38:35.160
<v Speaker 7>an amazing dynamic and come back to us, right, And

0:38:35.200 --> 0:38:38.520
<v Speaker 7>who would have thought on across eighteen holes that would

0:38:38.520 --> 0:38:41.759
<v Speaker 7>be an issue Bloomboth Scarlet Food, thank you very much.

0:38:49.680 --> 0:38:51.279
<v Speaker 5>Well, the first day is already in the books. Toill

0:38:51.280 --> 0:38:51.960
<v Speaker 5>Linda y Acharino.

0:38:52.000 --> 0:38:54.480
<v Speaker 6>It's day two now for Twitch's new CEO, taking the

0:38:54.520 --> 0:38:57.359
<v Speaker 6>helm after pretty rocky tenure from Melon Musk. Of course,

0:38:57.800 --> 0:38:59.759
<v Speaker 6>let's just dive a little bit deeper into what lies

0:38:59.760 --> 0:39:03.600
<v Speaker 6>a filandia Eacharino and Twitter at Large Blue MiG Sarah Fhire.

0:39:03.600 --> 0:39:05.120
<v Speaker 5>I'm very peace to say, joins us.

0:39:05.160 --> 0:39:08.600
<v Speaker 6>And you know, optimism abound when you look at her tweets,

0:39:08.800 --> 0:39:13.880
<v Speaker 6>but ultimately she's got a big sort of area to stabilize,

0:39:13.920 --> 0:39:17.040
<v Speaker 6>particularly when we've seen some important executives lead, particularly in

0:39:17.040 --> 0:39:18.040
<v Speaker 6>the trust and Safety park.

0:39:18.760 --> 0:39:21.719
<v Speaker 16>I mean that's an understatement. She has a huge task

0:39:21.760 --> 0:39:24.319
<v Speaker 16>ahead of her. She has all the advertisers to win

0:39:24.440 --> 0:39:27.920
<v Speaker 16>back over. The New York Times reported on Monday that

0:39:28.000 --> 0:39:31.320
<v Speaker 16>Twitter's ad revenues down fifty nine percent from the year earlier,

0:39:31.440 --> 0:39:35.640
<v Speaker 16>based on internal documents. That is, her job is to

0:39:35.840 --> 0:39:39.319
<v Speaker 16>restore that and grow it half you know what it

0:39:39.360 --> 0:39:44.000
<v Speaker 16>was for and other business lines like like maybe Twitter

0:39:44.080 --> 0:39:47.520
<v Speaker 16>subscription business and Twitter Blue. And she has to do

0:39:47.600 --> 0:39:51.880
<v Speaker 16>all that without these key executives who were in charge

0:39:51.920 --> 0:39:59.440
<v Speaker 16>of keeping the site hospitable to advertisers by removing violent content, pornography,

0:40:00.160 --> 0:40:03.120
<v Speaker 16>hate speech, things that people wouldn't want. Brands wouldn't want

0:40:03.120 --> 0:40:05.200
<v Speaker 16>to have their content next to you, and frankly, users

0:40:05.200 --> 0:40:08.279
<v Speaker 16>don't want to post their tweets next to either. So

0:40:08.880 --> 0:40:11.920
<v Speaker 16>it's really going to be an uphill climb for yach Arena.

0:40:12.000 --> 0:40:16.279
<v Speaker 16>She seems quite enthusiastic in her public tweets.

0:40:15.920 --> 0:40:18.080
<v Speaker 2>But of course she has to be. She's just getting started.

0:40:19.200 --> 0:40:21.440
<v Speaker 7>You know what's interesting to me Sarah is her use

0:40:21.480 --> 0:40:25.200
<v Speaker 7>of Twitter. So she's welcomed some new hires from NBC

0:40:25.360 --> 0:40:29.080
<v Speaker 7>Universal via Twitter. She did that I think Sunday before

0:40:29.239 --> 0:40:32.160
<v Speaker 7>even day one. You know, you know this landscape, you

0:40:32.320 --> 0:40:36.680
<v Speaker 7>know the executives that operate within social media. What do

0:40:36.719 --> 0:40:39.719
<v Speaker 7>you make of her use? It's kind of almost Muskian

0:40:40.000 --> 0:40:40.439
<v Speaker 7>in a way.

0:40:41.360 --> 0:40:43.080
<v Speaker 16>Well, she has to, I mean, she has to use

0:40:43.080 --> 0:40:46.120
<v Speaker 16>the product to show how a can. She has to

0:40:46.120 --> 0:40:49.799
<v Speaker 16>set an example, for instance, with the others who were

0:40:49.880 --> 0:40:50.440
<v Speaker 16>her peers.

0:40:50.480 --> 0:40:51.399
<v Speaker 2>I mean, she's going to.

0:40:51.360 --> 0:40:54.279
<v Speaker 16>Be selling Twitter ad space to the people that she

0:40:54.440 --> 0:40:58.040
<v Speaker 16>sold NBC ad space too. And one of the things

0:40:58.520 --> 0:41:01.759
<v Speaker 16>that she would say when she was at NBC Universals

0:41:02.120 --> 0:41:05.719
<v Speaker 16>this is cleaner than social media. This is what you

0:41:05.760 --> 0:41:08.279
<v Speaker 16>see is what you get, Like these shows are are

0:41:08.360 --> 0:41:11.480
<v Speaker 16>appropriate for your brand. And now she's going to have

0:41:11.520 --> 0:41:14.239
<v Speaker 16>to take a very different tact and say, you know,

0:41:14.320 --> 0:41:18.520
<v Speaker 16>social media is a place where anyone can talk, and yeah,

0:41:18.560 --> 0:41:23.359
<v Speaker 16>it's going to be a little bit different, especially under

0:41:23.360 --> 0:41:26.440
<v Speaker 16>Elon Muscus. He's rolled back those content rules as he

0:41:26.520 --> 0:41:30.720
<v Speaker 16>has fewer staff that can actually implement some brand safety

0:41:30.760 --> 0:41:32.000
<v Speaker 16>measures on the site.

0:41:32.280 --> 0:41:33.400
<v Speaker 4>She's going to have to sell that.

0:41:33.520 --> 0:41:36.680
<v Speaker 16>And camp Con is coming up and and all sorts

0:41:36.719 --> 0:41:41.480
<v Speaker 16>of opportunities for advertised to spend on Twitter, and we'll

0:41:41.520 --> 0:41:43.640
<v Speaker 16>have to see if they if they restore their budgets.

0:41:44.760 --> 0:41:47.759
<v Speaker 7>She has tweeted Bay Area Views coming soon, so maybe

0:41:47.760 --> 0:41:50.560
<v Speaker 7>she's moving out here towards FS. So thanks to Bloomberg

0:41:50.600 --> 0:41:54.719
<v Speaker 7>Tech editor Sarah Fryer, Wow, two days in what weeks

0:41:54.760 --> 0:41:57.680
<v Speaker 7>so far? That does it for this edition of Bloomberg Technology.

0:41:57.760 --> 0:41:58.080
<v Speaker 4>Character.

0:41:58.200 --> 0:42:00.600
<v Speaker 6>Yeah, you do not want to forget aster cause you

0:42:00.600 --> 0:42:02.800
<v Speaker 6>can find it on the terminole as well as online

0:42:02.800 --> 0:42:07.120
<v Speaker 6>on Apple, Spotify, at iHeart, wherever you choose to digest.

0:42:07.640 --> 0:42:09.919
<v Speaker 6>And yeah, if you go to some of those well

0:42:10.160 --> 0:42:12.560
<v Speaker 6>history in the making recorder on those tweets more on

0:42:12.640 --> 0:42:13.560
<v Speaker 6>that soon to come.

0:42:13.760 --> 0:42:14.480
<v Speaker 5>The supream, though