WEBVTT - UK's CMA on the Microsoft Deal and Big Tech's AI Safeguards

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<v Speaker 1>From the heart where innovation, money and power Collie in

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<v Speaker 1>Silicon Valley, NBN. This is Bloomberg Technology with Caroline Hyde.

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<v Speaker 2>And Ed lud Love.

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<v Speaker 3>And Caroline Heind and Bloomberg's well head quarters in New

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<v Speaker 3>York and Ludlow He's off.

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<v Speaker 4>This's in Bloomberg Technology.

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<v Speaker 3>Coming up, we'll have the latest on Microsoft and Activision

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<v Speaker 3>as UK regulators reject those claims they're.

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<v Speaker 4>Bowing to pressure to clear the deal or ahead.

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<v Speaker 3>Thus we'll talk ai regulation of big tech commits to

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<v Speaker 3>safeguards for the technology that's at the White House's request.

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<v Speaker 3>We'll bring you the details and bankrupt Crypto Exchange FTX

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<v Speaker 3>sues San Bankman Freedom executives over one million dollars in

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<v Speaker 3>bad deals, including a plan.

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<v Speaker 4>To buy an island nation.

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<v Speaker 3>We'll have more on the new laysuit and so much

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<v Speaker 3>more throughout the hour. Meanwhile, let's go across the pond

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<v Speaker 3>in the UK. Britain's top ad trust enforcerers pushing back

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<v Speaker 3>against those claims that have been out there that it

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<v Speaker 3>was kind of forced by outside pressure to reconsider its

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<v Speaker 3>veto of the Microsoft Activision Blizzard deal. Here's the CMA CEO,

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<v Speaker 3>Sarah Kuddle at the moment our decision on prohibition stands.

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<v Speaker 3>We investigated very thoroughly the deal. We found that there

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<v Speaker 3>were serious concerns in relation to cloud gaming and.

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<v Speaker 4>The proposals that were put forward.

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<v Speaker 3>By Microsoft at the time did not resolve our competition concerns.

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<v Speaker 3>So Microsoft have indicated that they are considering how they

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<v Speaker 3>might restructure the deal in a way that resolves our concerns.

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<v Speaker 3>And the regulator had found itself increasingly isolated, pretty much

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<v Speaker 3>the loan watchdog standing in the way of the deal.

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<v Speaker 4>Now, after a week of drama.

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<v Speaker 3>The acquisition has some pretty fresh momentum in the US.

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<v Speaker 3>For example, the FDC has just paused its in house

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<v Speaker 3>trial against Microsoft, leaving room for potential settlement talks.

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<v Speaker 4>Let's break it all down.

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<v Speaker 3>Bloomberg's Catherine Gammel is with us and what else did

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<v Speaker 3>the Competition and Market Authority have to say? The CEO

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<v Speaker 3>about this deal and how it's progressing in the UK, thanks.

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<v Speaker 4>So much for having me.

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<v Speaker 5>Yes, so in this morning we had said a Cardell

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<v Speaker 5>in the London studio to talk us through where we're

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<v Speaker 5>at with the Microsoft activision probe. And you know, one

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<v Speaker 5>thing that she made really clear is that the UKCME

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<v Speaker 5>has still vetoed this deal, and that veto will still

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<v Speaker 5>stand until Microsoft offers up officially fresh restructuring ideas. So

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<v Speaker 5>that's a big one that we need to keep in

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<v Speaker 5>mind that those are still to be officially submitted. Another

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<v Speaker 5>thing that was an interesting point that she made is

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<v Speaker 5>that you know, after if they consider Microsoft's new proposals,

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<v Speaker 5>if they still don't think that those actually address the

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<v Speaker 5>competition issues at the heart, then this deal could be

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<v Speaker 5>vetoed again and we might go back to the phase

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<v Speaker 5>that we're at before, where we're at the competition appeal

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<v Speaker 5>tribune and we're getting a full of peel. I think.

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<v Speaker 5>Also the most important thing that you touched on a

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<v Speaker 5>moment ago was that Cardile really put to bed any

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<v Speaker 5>claims that they UKCME had bowed to UK political pressure

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<v Speaker 5>or that had in some way its decision to reconsider

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<v Speaker 5>this had in some way been a fit impacted by

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<v Speaker 5>the FDC's loss at court on the eleventh.

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<v Speaker 3>Yeah, trying to still stand by their independence. What then

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<v Speaker 3>does a deal, What recommendations, what remedies are likely to

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<v Speaker 3>actually cut the mustard when it comes to the CME.

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<v Speaker 5>Yes, So Cardile touched on this early in her interview,

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<v Speaker 5>and I think the only sort of remedies are going

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<v Speaker 5>to cut the mustard at this point as divestitures. Bloomberg

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<v Speaker 5>News reported, according to sources earlier that that this could

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<v Speaker 5>possibly be a divestiture of their UK cloud unit. It's

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<v Speaker 5>yet to be made public or clear what the actual

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<v Speaker 5>remedies as that Microsoft is going to offer up the CME,

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<v Speaker 5>so that still remains to be seen what exactly will

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<v Speaker 5>cut the mustard.

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<v Speaker 4>I started that phrase and we're going to keep on

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<v Speaker 4>running with it. A little bit of.

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<v Speaker 3>British sotuly in the morning and it's great to catch

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<v Speaker 3>up with you. Go have a great weekend, Kafum Gammel.

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<v Speaker 3>She has been one busy woman throughout this week. Meanwhile, well,

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<v Speaker 3>the whole market's been busy, hasn't it In terms of

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<v Speaker 3>fun flow data, for example, come from Bank of America

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<v Speaker 3>showing that despite the distancing themselves from broader equity markets,

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<v Speaker 3>investors have continued to pile into tech stocks. Tech funds,

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<v Speaker 3>for example, attracted one point eight billion dollars in the

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<v Speaker 3>past week, pulling in money for the fourth consecutive week

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<v Speaker 3>and while outperforming the rest of the sectors. How long

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<v Speaker 3>can this last Mahony Asset Management. See you, Ken Mahoney,

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<v Speaker 3>who is invested in Microsoft, Apple, and Vidia, Tesla to

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<v Speaker 3>name but a few, and peace to say, welcomes us

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<v Speaker 3>and Ken. It is interesting that tech has just continued

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<v Speaker 3>to fight off all that demongering, the fear of the economy.

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<v Speaker 4>And plow forward.

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<v Speaker 3>Will that come to an end perhaps with the rebalancing

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<v Speaker 3>and then as that one hundred for example, Look.

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<v Speaker 6>I don't think it's gonna happen because the rebalance of

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<v Speaker 6>the NAZAG one hundred. I think it's got legs and

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<v Speaker 6>the AI we keep talking about, and a lot of

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<v Speaker 6>people feel like they missed it. I think when the

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<v Speaker 6>second or third inning of this AI, I mean, this

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<v Speaker 6>is gonna be a multi year move here. And you

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<v Speaker 6>know the picks and shovels of the last decade or

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<v Speaker 6>nineteen ninety nine, where was you know, Oracle and Cisco

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<v Speaker 6>pixing shovels of this gold rush, Microsoft and the videos

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<v Speaker 6>and the names you mentioned before. So I think in

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<v Speaker 6>the early innings, yes, it's gonna be violatile. I don't

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<v Speaker 6>think the nats QUE one hundred be shuffling is going

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<v Speaker 6>to change anything because I think the fundamentals are very

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<v Speaker 6>strong for this group.

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<v Speaker 3>Well, the fundamentals be shown in these earnings. Will we

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<v Speaker 3>get a guide of how much AI is going to

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<v Speaker 3>power revenue?

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<v Speaker 6>I think so On Microsoft, by the way, which come

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<v Speaker 6>out next week. They're very good for beating estimates and

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<v Speaker 6>raising guidance, and then the analysts have to scramble to

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<v Speaker 6>catch up with them and raise targets and so forth.

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<v Speaker 6>So I suspect we're going to see that again for

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<v Speaker 6>some time until the levels off, and this AI is

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<v Speaker 6>helping companies longer their costs and helping their top line.

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<v Speaker 2>So it's a creative.

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<v Speaker 6>So it's not just a line item on an expense sheet.

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<v Speaker 6>It's actually something that can actually help these companies.

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<v Speaker 3>Ken a bit tactical, perhaps, but how do you play

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<v Speaker 3>the run up and the aftermath of an earnings?

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<v Speaker 4>Do you try and trade of it in any way?

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<v Speaker 3>Do you just wait until the print comes and well

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<v Speaker 3>move within that volatility?

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<v Speaker 4>Do you trade or do you just push through?

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<v Speaker 6>I think you kind of pushed through again. It's so

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<v Speaker 6>difficult sometimes, like it's like rushroa roulette. We never know

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<v Speaker 6>which ones are going to sell off, which one's going

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<v Speaker 6>to go last week a couple of days ago Tesla

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<v Speaker 6>Netflix we saw kind of sell the news again a

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<v Speaker 6>little soft guidance, So we don't know exactly how they're

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<v Speaker 6>going to go. But and I just see past this quarter,

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<v Speaker 6>and that's probably with the investors. They kind of get in,

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<v Speaker 6>they trade wrong, they get out, and again these are

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<v Speaker 6>multi year I hope to think multi year growth because

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<v Speaker 6>of what's happening AI and some other thinking about Microsoft

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<v Speaker 6>by the way, all the different verticals you get when

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<v Speaker 6>you own Microsoft, from gaming to network security, to Windows

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<v Speaker 6>to you know, cloud to now AI integrating all that,

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<v Speaker 6>So this to me is not just a good quarter

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<v Speaker 6>to jump in and jump out. I think there's there's

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<v Speaker 6>a lot more tailwind here.

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<v Speaker 3>But valuations ken thirty six times future earnings currently for Microsoft,

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<v Speaker 3>it was eighty or something for no One.

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<v Speaker 4>Do we see a bit of softness?

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<v Speaker 3>Do you think these valuations can be vindicated in the

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<v Speaker 3>short term, in the near.

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<v Speaker 6>Term, Well, that's what we were going through this digestion

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<v Speaker 6>process because these multiples are really kind of whacko. We

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<v Speaker 6>get it, but the old side is too. You see

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<v Speaker 6>some valuations with the PE six and PE seven, you

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<v Speaker 6>look aback a year and now later and you still

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<v Speaker 6>find some of those same companies still trading with multiples

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<v Speaker 6>that are stuck at six or seven. So what we've

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<v Speaker 6>seen with top line growth, with the analysts trying to

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<v Speaker 6>play catch up, we've seen some of these multiples expand

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<v Speaker 6>and justifiably sol because there's only a handful of companies

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<v Speaker 6>that can really roll the way they're growing. And that's

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<v Speaker 6>why again those multiples.

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<v Speaker 3>Oh I'm interested in that only a handful? Are there

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<v Speaker 3>only a handful? Are we not looking hard enough? There's

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<v Speaker 3>sort of Kathy Wood perspective that in videos just so obvious,

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<v Speaker 3>try and go for some slightly different AI plays.

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<v Speaker 6>You know, I kind of think about Picte and Shovel

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<v Speaker 6>are kind of the gatekeepers of this, and now would

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<v Speaker 6>be Microsoft in the video and some of those names.

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<v Speaker 6>There are gonna be some secondary names. It's gonna be

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<v Speaker 6>like the dot com and the nineteen nineties. We're gonna

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<v Speaker 6>have go from three to twenty. Well, there are one

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<v Speaker 6>stra ponies. What I like about is that these companies

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<v Speaker 6>have a lot of verticals. Again, you think about the

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<v Speaker 6>video with the timeless striving, the video with a gaming

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<v Speaker 6>and everything that they're doing and a creative to earnings

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<v Speaker 6>is now this AI place, So I'd rather play this

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<v Speaker 6>way with the kind of proven winners that already have

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<v Speaker 6>a lot of verticals, have a lot of businesses, have

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<v Speaker 6>a loud opportunities within those businesses. Oh and then let's

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<v Speaker 6>at AI on top of that, and then then you

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<v Speaker 6>get this kind of great growth rate.

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<v Speaker 4>Ca Mahoney.

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<v Speaker 3>Great to have some time with you, Thank you, Mahony,

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<v Speaker 3>Asset Management CEO. It's going to be busy week ahead,

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<v Speaker 3>so you have a fun weeknd ahead of it. Meanwhile,

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<v Speaker 3>coming up, we're gonna be talking more about investing in

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<v Speaker 3>ourltivision Intelligence. But at the earlier stage in private stage

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<v Speaker 3>one received bending six hundred million dollars with a new

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<v Speaker 3>fund backing startups focus solely on artificial intelligence at all,

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<v Speaker 3>with Vege capitalists behind the investment. Next, I mean, well,

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<v Speaker 3>look we're just talking about earnings. Let's talk about one

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<v Speaker 3>company that has been under strain from a share price

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<v Speaker 3>perspective today following its earnings, American Express ames actually lower

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<v Speaker 3>after investors concerned by some slower payment volume growth. But

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<v Speaker 3>I had some time with the CEO C Square a

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<v Speaker 3>little bit earlier on the phone.

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<v Speaker 4>He's less concerned.

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<v Speaker 3>He was trying to reiterate, look look at our record revenue,

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<v Speaker 3>look at our record at earnings for share, look at

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<v Speaker 3>our record billings. And he's also showing really about some

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<v Speaker 3>of the risks surrounding this economy. He feels, actually those

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<v Speaker 3>recession risks are fading, that hard landing fading as we

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<v Speaker 3>go forward. So really we see a company that he

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<v Speaker 3>says is standing by its growth plans firing on all cylinders.

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<v Speaker 3>And it was just some tough comparisons if you're looking

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<v Speaker 3>from the previous year in extraordinary numbers that we had

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<v Speaker 3>in twenty twenty two post COVID interesting take on AI, though,

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<v Speaker 3>he's trying to push back on some of the dangers

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<v Speaker 3>of generator AI, particularly when you're looking at credit scoring,

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<v Speaker 3>worries about bias in the system. He says, look, our models,

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<v Speaker 3>like everyone else in the industry, heavily regulated, heavily reviewed.

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<v Speaker 4>Our algorithms are reviewed.

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<v Speaker 3>This doesn't come cheap, and the FED and not the

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<v Speaker 3>oversight bodies have them in their sites, so he's.

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<v Speaker 4>Not too fearful of that bias.

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<v Speaker 3>From New York as a Bloomberg Technology.

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<v Speaker 4>Wing Bench Capital is betting big on artificial intelligence.

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<v Speaker 3>Now, the firm closing a six hundred million dollar fun

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<v Speaker 3>that's forth to back startups focused on just really AI.

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<v Speaker 4>Let's get right to it. The wing founding partner goa gard.

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<v Speaker 3>I mean, is there anything out there that isn't in

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<v Speaker 3>some way AI powered?

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<v Speaker 1>Now? Well, our view is that.

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<v Speaker 7>In today's day and age, as we move from digital

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<v Speaker 7>transformation to AI transformation, if you're investing in business technology,

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<v Speaker 7>it's not worth doing unless it's AI focused. And an

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<v Speaker 7>example might be do you think people are even going

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<v Speaker 7>to buy a tractor that is not A powered and

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<v Speaker 7>cannot drive itself? So we feel that way about the

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<v Speaker 7>entire landscape.

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<v Speaker 3>Okay, so do you put money to work on AI

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<v Speaker 3>powered tractor companies or is it really more about the

0:11:09.559 --> 0:11:12.920
<v Speaker 3>foundational models, about the underpinnings about these companies that are

0:11:12.920 --> 0:11:15.240
<v Speaker 3>going to be almost plugged into other corpus out there.

0:11:16.720 --> 0:11:20.400
<v Speaker 7>Well, first, thank you for having me on the show.

0:11:21.200 --> 0:11:25.720
<v Speaker 7>About half of our investments are in business applications and

0:11:25.760 --> 0:11:28.760
<v Speaker 7>the other half are in software infrastructure that powers AI,

0:11:29.320 --> 0:11:32.800
<v Speaker 7>data security, developer led tools, things like that. Let's mostly

0:11:32.840 --> 0:11:33.920
<v Speaker 7>software and why.

0:11:33.800 --> 0:11:37.120
<v Speaker 3>Are those entrepreneurs where are those companies being built? There's

0:11:37.160 --> 0:11:40.320
<v Speaker 3>been this narrative that Silicon Valley is back where it's at.

0:11:40.200 --> 0:11:41.000
<v Speaker 4>When it comes to AI.

0:11:41.160 --> 0:11:43.520
<v Speaker 3>Is that true or is this more democratized across the

0:11:43.600 --> 0:11:44.600
<v Speaker 3>US and internationally?

0:11:46.400 --> 0:11:53.080
<v Speaker 7>Yeah, it is fairly significantly in California where we have

0:11:53.160 --> 0:11:55.840
<v Speaker 7>companies all over the country, and we also have some

0:11:55.920 --> 0:11:56.839
<v Speaker 7>in Europe and Israel.

0:11:57.120 --> 0:11:59.000
<v Speaker 3>We've just been looking at some of your current portfolio

0:11:59.080 --> 0:12:03.280
<v Speaker 3>already Bedrocks System inserting Unicorn, and you've had successful exits

0:12:03.280 --> 0:12:05.480
<v Speaker 3>in the past. I think of fire Eye, I mean

0:12:05.600 --> 0:12:09.199
<v Speaker 3>long ago, Jasper required by Cisco Mobile Iron These a

0:12:09.240 --> 0:12:12.280
<v Speaker 3>lot of these not only were acquisitions or IPOs. How

0:12:12.320 --> 0:12:15.880
<v Speaker 3>does that market for exits even look now at the

0:12:15.880 --> 0:12:16.319
<v Speaker 3>moment for.

0:12:16.280 --> 0:12:22.760
<v Speaker 7>You, well, the IPO windows kind of locked up right now,

0:12:23.000 --> 0:12:25.480
<v Speaker 7>and in fact, i'd ask you when you think it's

0:12:25.480 --> 0:12:26.000
<v Speaker 7>going to open.

0:12:26.080 --> 0:12:27.199
<v Speaker 1>You've talked to everybody.

0:12:29.280 --> 0:12:33.120
<v Speaker 7>But in the long term, we feel that capital markets

0:12:33.120 --> 0:12:36.080
<v Speaker 7>go up and down, but the role of technology in

0:12:36.120 --> 0:12:40.280
<v Speaker 7>the economy is growing, and particularly this time around, we

0:12:40.400 --> 0:12:46.760
<v Speaker 7>feel that anything that can tolerate ninety five percent accuracy

0:12:47.559 --> 0:12:53.400
<v Speaker 7>will be impacted or significantly by AI. So we just

0:12:53.440 --> 0:12:56.480
<v Speaker 7>feel the opportunity is so enormous and will pervade.

0:12:56.480 --> 0:12:59.720
<v Speaker 3>All of GDP and the LPs saw that opportunity to

0:12:59.840 --> 0:13:03.000
<v Speaker 3>how quickly were you able to raise the six hundred million.

0:13:05.040 --> 0:13:06.280
<v Speaker 1>Yeah, it went pretty quickly.

0:13:06.320 --> 0:13:09.160
<v Speaker 8>It was a slightly more difficult environment than last time,

0:13:09.200 --> 0:13:12.000
<v Speaker 8>but in some ways our last one was raised right

0:13:12.040 --> 0:13:14.680
<v Speaker 8>at the start of COVID, so this one felt a

0:13:14.679 --> 0:13:16.920
<v Speaker 8>little easier and it took about the same amount of

0:13:16.960 --> 0:13:18.880
<v Speaker 8>time in a few months.

0:13:19.120 --> 0:13:22.160
<v Speaker 3>And you really are focused on the very early stage.

0:13:22.679 --> 0:13:26.920
<v Speaker 3>How broad are these companies already when you're starting to

0:13:26.920 --> 0:13:28.000
<v Speaker 3>look at them and you're looking at.

0:13:28.040 --> 0:13:29.640
<v Speaker 4>Entrepreneurs with an idea.

0:13:30.040 --> 0:13:33.000
<v Speaker 3>Are you having to see revenue already being generated? How

0:13:33.000 --> 0:13:36.280
<v Speaker 3>are you deciding which companies to back in what is

0:13:36.440 --> 0:13:37.600
<v Speaker 3>a very noisy field.

0:13:40.000 --> 0:13:42.960
<v Speaker 7>Half the companies are seed stage, the other half our

0:13:43.000 --> 0:13:46.600
<v Speaker 7>series age. We write checks in the seed up to

0:13:46.679 --> 0:13:49.200
<v Speaker 7>three or four million, and in the series age up

0:13:49.200 --> 0:13:51.480
<v Speaker 7>to twenty million as our first check, So it's a

0:13:51.480 --> 0:13:55.439
<v Speaker 7>pretty wide remit. I would say that we are quite

0:13:55.720 --> 0:13:59.360
<v Speaker 7>distinct in that ninety five percent of our companies have

0:13:59.440 --> 0:14:01.720
<v Speaker 7>less than a milllion dollars in revenue when we invest.

0:14:02.160 --> 0:14:07.199
<v Speaker 7>So we invested Inception pre product in very early revenue

0:14:07.240 --> 0:14:10.520
<v Speaker 7>as well, and we're willing to take on that uncertainty

0:14:10.559 --> 0:14:13.360
<v Speaker 7>because it results in the best long term returns.

0:14:14.240 --> 0:14:16.560
<v Speaker 3>Well, come back when you start to write those checks,

0:14:16.559 --> 0:14:18.960
<v Speaker 3>when we start to hear about or maybe even an

0:14:18.960 --> 0:14:24.320
<v Speaker 3>Ibo window opening for your larger, more well older mature companies.

0:14:24.320 --> 0:14:27.200
<v Speaker 3>Wing Value Partner, thank you so much for your time.

0:14:34.840 --> 0:14:37.640
<v Speaker 3>Time now for talking tech. First up TikTok Shop. It's

0:14:37.680 --> 0:14:40.400
<v Speaker 3>teaming up with a fintech platform at Home to expand

0:14:40.400 --> 0:14:44.040
<v Speaker 3>its online retail platform in Malaysia. And platform will integrate

0:14:44.040 --> 0:14:47.120
<v Speaker 3>a tomes by now pay later service check out rivaling

0:14:47.120 --> 0:14:50.400
<v Speaker 3>the likes of c and Ali. Babba's BMPL options. Parent

0:14:50.440 --> 0:14:53.640
<v Speaker 3>company fit Dance says it's looking to invest billions of

0:14:53.640 --> 0:14:57.280
<v Speaker 3>dollars in Southeast Asia markets in the coming years. Meanwhile,

0:14:57.320 --> 0:15:01.040
<v Speaker 3>Open Ai seems to support certain requirements here government regulation.

0:15:01.200 --> 0:15:03.880
<v Speaker 3>This is according to an internal policy memo drafted Forralling

0:15:03.920 --> 0:15:05.880
<v Speaker 3>a meeting with the White House officials and other tech

0:15:05.880 --> 0:15:06.960
<v Speaker 3>executives back in May.

0:15:07.280 --> 0:15:07.440
<v Speaker 4>Now.

0:15:07.440 --> 0:15:10.000
<v Speaker 3>The document laid out a series of policy commitments and

0:15:10.040 --> 0:15:15.360
<v Speaker 3>a government licensing system. Executives from leading AI firms like Well, OpenAI,

0:15:15.480 --> 0:15:19.440
<v Speaker 3>Meta Alphabet will join President Biden today to discuss transparency

0:15:19.440 --> 0:15:20.520
<v Speaker 3>and security of AI.

0:15:20.720 --> 0:15:22.680
<v Speaker 4>Will have that plus FTX.

0:15:22.880 --> 0:15:26.040
<v Speaker 3>It's banking on a new lawsuit against its centorious founder

0:15:26.080 --> 0:15:27.960
<v Speaker 3>and former Topic associates.

0:15:27.920 --> 0:15:30.080
<v Speaker 4>In order to recover cash for its creditors.

0:15:30.120 --> 0:15:33.440
<v Speaker 3>Now the suit Sam Mackwin Freed, co founder Gary Wang,

0:15:33.480 --> 0:15:36.760
<v Speaker 3>and others, it's all as from making fraudulant transfers that

0:15:36.800 --> 0:15:40.080
<v Speaker 3>benefited them personally but in nothing for FTX more broadly,

0:15:40.200 --> 0:15:42.760
<v Speaker 3>and the complaint is filed Thursday, and it seeks to

0:15:42.840 --> 0:15:46.040
<v Speaker 3>undo more than a billion dollars from those transactions. And

0:15:46.520 --> 0:15:49.960
<v Speaker 3>while those details just keep on coming. And what's so

0:15:50.080 --> 0:15:53.560
<v Speaker 3>interesting is some of the intricacies within this recent lawsuit

0:15:53.880 --> 0:15:56.840
<v Speaker 3>and the co founder Sam Mamuin Freed and former top executives.

0:15:56.880 --> 0:15:58.880
<v Speaker 3>Let's get straight to it with Hannah Miller to really

0:15:59.160 --> 0:16:02.880
<v Speaker 3>discuss well, some of the more questionable behavior. And the

0:16:02.920 --> 0:16:05.120
<v Speaker 3>thing that caught my eye and we'll catch everyone's eye

0:16:06.000 --> 0:16:06.880
<v Speaker 3>is a private island.

0:16:07.200 --> 0:16:08.240
<v Speaker 4>Really what was that for?

0:16:09.480 --> 0:16:12.080
<v Speaker 9>Yes, So, the complaint alleges that there was this memo

0:16:12.280 --> 0:16:16.640
<v Speaker 9>exchanged between an executive at the FTX Foundation, which was

0:16:16.680 --> 0:16:20.520
<v Speaker 9>the charity arm of FTX, and Gabriel Bankman Freed Sam Bankman,

0:16:20.560 --> 0:16:23.960
<v Speaker 9>Freed's brother, and it basically laid out this plan that

0:16:24.040 --> 0:16:26.360
<v Speaker 9>you know, hey, maybe we should buy the country of

0:16:26.520 --> 0:16:30.080
<v Speaker 9>Nauru uh and build a bunker there that could be

0:16:30.200 --> 0:16:34.560
<v Speaker 9>used to protect effective altruists in the event of an

0:16:34.560 --> 0:16:38.080
<v Speaker 9>apocalyptic you know, crisis that would take over the world.

0:16:38.160 --> 0:16:42.040
<v Speaker 9>And we know that Sam Bankman Freed publicly said that

0:16:42.080 --> 0:16:45.920
<v Speaker 9>he embraced effective altruism, so it makes sense that that's.

0:16:45.760 --> 0:16:46.800
<v Speaker 4>Who they'd want to protect.

0:16:47.280 --> 0:16:49.680
<v Speaker 3>A wonder who would have been in that crew, uh

0:16:49.840 --> 0:16:54.200
<v Speaker 3>if any la. Some of the other allegations are well

0:16:54.320 --> 0:16:56.920
<v Speaker 3>just about the sheer amount of money that was already

0:16:57.000 --> 0:17:01.240
<v Speaker 3>realized to have been lost prior to the ultimate demise,

0:17:01.320 --> 0:17:04.480
<v Speaker 3>particularly by well heads of alimedia, and like can you

0:17:04.560 --> 0:17:06.800
<v Speaker 3>just detail some of the other more shocking revelations and

0:17:06.960 --> 0:17:09.399
<v Speaker 3>just the knowledge of how badly this was doing.

0:17:10.440 --> 0:17:13.280
<v Speaker 9>So the complaint alleges that in March twenty twenty two,

0:17:13.480 --> 0:17:17.320
<v Speaker 9>Caroline Ellison, the former CEO of Hour Meter Research, estimated

0:17:17.320 --> 0:17:20.680
<v Speaker 9>that there was a ten billion dollar deficit around the

0:17:20.720 --> 0:17:22.640
<v Speaker 9>same time she gave herself.

0:17:22.280 --> 0:17:24.800
<v Speaker 4>A twenty two million dollar bonus.

0:17:24.840 --> 0:17:27.480
<v Speaker 9>That's what the complaint alleges. So it's very interesting to

0:17:27.520 --> 0:17:30.920
<v Speaker 9>see that contrast there, but it highlights how the executives

0:17:30.960 --> 0:17:33.840
<v Speaker 9>really you know, were very generous to themselves that they

0:17:34.240 --> 0:17:39.399
<v Speaker 9>took you know, huge bonuses equity even in your common shares.

0:17:39.600 --> 0:17:41.119
<v Speaker 4>I mean some of the details.

0:17:41.200 --> 0:17:44.840
<v Speaker 3>What was it potentially alleged fraudulent transfers of four hundred

0:17:44.840 --> 0:17:47.719
<v Speaker 3>and seventy seven million dollars worth of FTX common shares

0:17:47.760 --> 0:17:50.880
<v Speaker 3>to the former director of engineering, payments made by Sam

0:17:50.920 --> 0:17:54.560
<v Speaker 3>Macmunfried allegedly granted himself, right some more than six million

0:17:54.600 --> 0:17:57.040
<v Speaker 3>dollars in equity. I mean, all of this starts to

0:17:57.040 --> 0:17:59.080
<v Speaker 3>add up. Can you just remind us of the timeline

0:17:59.200 --> 0:18:01.840
<v Speaker 3>of all of this to when these sorts of accusations

0:18:02.240 --> 0:18:05.119
<v Speaker 3>are going to be laid, whether we can really understand

0:18:05.160 --> 0:18:07.280
<v Speaker 3>whether there's truth to them or not, and ultimately whether

0:18:07.320 --> 0:18:10.080
<v Speaker 3>the creditors are going to see much So.

0:18:10.119 --> 0:18:13.200
<v Speaker 9>The allegations spread out over a period of several years

0:18:13.320 --> 0:18:16.440
<v Speaker 9>leading up to the collapse of FTX. You know, there's

0:18:16.480 --> 0:18:19.720
<v Speaker 9>stuff happening in twenty twenty one, twenty twenty two, according

0:18:19.720 --> 0:18:23.640
<v Speaker 9>to the complaint, but that is prior to the collapse

0:18:23.680 --> 0:18:27.680
<v Speaker 9>of FTX, which was in November twenty twenty two. Prior

0:18:27.680 --> 0:18:30.520
<v Speaker 9>to that, the company had given this perception that it

0:18:30.560 --> 0:18:33.800
<v Speaker 9>was extremely strong and engaged in a series of bailouts

0:18:33.840 --> 0:18:36.960
<v Speaker 9>helping out struggling crypto companies. During the summer of twenty

0:18:37.000 --> 0:18:37.480
<v Speaker 9>twenty two.

0:18:39.160 --> 0:18:43.840
<v Speaker 3>I'm just kind of also interested, I suppose in robin Hood.

0:18:43.880 --> 0:18:45.879
<v Speaker 3>Within all of this, can you just remind us as

0:18:45.920 --> 0:18:48.800
<v Speaker 3>to how much money ended up being purchased of a

0:18:48.840 --> 0:18:51.320
<v Speaker 3>public company. We're all so aware of that purchase and

0:18:51.320 --> 0:18:54.240
<v Speaker 3>then felt the one point FTX wanted to actually buy

0:18:54.280 --> 0:18:55.160
<v Speaker 3>out robin Hood.

0:18:55.560 --> 0:18:57.400
<v Speaker 4>They used money from Alamedia.

0:18:56.960 --> 0:19:01.200
<v Speaker 9>Though, yes, the complaint alleges that and Bankment Freed and

0:19:01.240 --> 0:19:05.280
<v Speaker 9>Gary Wang, his co founder, actually took over five hundred

0:19:05.320 --> 0:19:08.680
<v Speaker 9>and million, five hundred million dollars from Alameda and used

0:19:08.760 --> 0:19:13.080
<v Speaker 9>that to buy robin Hood shares. So they just took

0:19:13.119 --> 0:19:16.639
<v Speaker 9>that money. They didn't really have to give anything in return,

0:19:16.680 --> 0:19:20.399
<v Speaker 9>according to the complaints allegations. So it's pretty crazy to

0:19:20.400 --> 0:19:23.200
<v Speaker 9>see that they were really, you know, taking huge steps

0:19:23.280 --> 0:19:26.159
<v Speaker 9>in terms of you know, looking at robin Hood.

0:19:26.560 --> 0:19:29.959
<v Speaker 3>I feel I've become numb to pretty crazy allegations and

0:19:30.000 --> 0:19:32.440
<v Speaker 3>you keep them coming. Thank you so much, Hannah Miller

0:19:32.720 --> 0:19:35.000
<v Speaker 3>on All Things FTX. Remember you've got to go and

0:19:35.040 --> 0:19:37.400
<v Speaker 3>listen to the podcast. So they have about Sammi Munfried

0:19:37.440 --> 0:19:48.200
<v Speaker 3>as well. Welcome back to Bloomberg Technology. Now let's talk

0:19:48.240 --> 0:19:51.040
<v Speaker 3>a little bit what's happening over in Washington, because leading

0:19:51.119 --> 0:19:55.359
<v Speaker 3>USAI companies publicly admitted to safeguards to the booming technology

0:19:55.400 --> 0:19:59.120
<v Speaker 3>at the White House's request. Today, President Biden joined by

0:19:59.119 --> 0:20:02.240
<v Speaker 3>executive from Amazon and Alphabet Meta, Microsoft, Open Ai, and

0:20:02.359 --> 0:20:06.159
<v Speaker 3>others for a key event. We understand now one advisor

0:20:06.600 --> 0:20:10.240
<v Speaker 3>to the administration has been Neverinasing Creato AI.

0:20:10.320 --> 0:20:10.679
<v Speaker 4>CEO.

0:20:10.760 --> 0:20:13.720
<v Speaker 3>Creato is a responsible AI governance platform and you empower

0:20:14.040 --> 0:20:18.240
<v Speaker 3>organizations basically to deliver to embed AI responsibly by trying

0:20:18.240 --> 0:20:20.520
<v Speaker 3>to measure, monitor and manage some of the AI risks.

0:20:20.520 --> 0:20:23.159
<v Speaker 3>And what do you make of these safeguards that are

0:20:23.200 --> 0:20:25.400
<v Speaker 3>really being driven by the administration right now?

0:20:27.440 --> 0:20:29.840
<v Speaker 10>Well, Carolyn, so good to see you again and thanks

0:20:29.920 --> 0:20:31.159
<v Speaker 10>for having me on the show.

0:20:32.119 --> 0:20:34.679
<v Speaker 2>You know, just a reminder Credo AI.

0:20:35.080 --> 0:20:38.040
<v Speaker 10>We are on this mission to ensure that AI is

0:20:38.160 --> 0:20:41.040
<v Speaker 10>always in the service of humanity, and we do so

0:20:41.240 --> 0:20:45.560
<v Speaker 10>by providing an AI governance software that provides that continues

0:20:45.640 --> 0:20:51.840
<v Speaker 10>oversight and accountability of artificial intelligence by managing, mitigating, and

0:20:51.920 --> 0:20:56.040
<v Speaker 10>monitoring AI introduced risks. So today's announcement, we are very

0:20:56.119 --> 0:21:00.800
<v Speaker 10>encouraged to see the Biden Harris administration, you know, continuing

0:21:00.880 --> 0:21:05.760
<v Speaker 10>to depict their commitment to responsible innovation as well as

0:21:05.800 --> 0:21:06.879
<v Speaker 10>to AI governance.

0:21:07.400 --> 0:21:10.600
<v Speaker 2>I think a lot will be seen in the.

0:21:10.560 --> 0:21:15.400
<v Speaker 10>Coming months because right now these are still voluntary commitments

0:21:15.960 --> 0:21:17.520
<v Speaker 10>and what is going to be.

0:21:17.560 --> 0:21:21.119
<v Speaker 2>Important is the executive.

0:21:20.440 --> 0:21:24.680
<v Speaker 10>Order that is going to be coupled with these commitments.

0:21:24.800 --> 0:21:26.560
<v Speaker 10>That's where the eyes are on right now.

0:21:26.880 --> 0:21:29.600
<v Speaker 3>They claig over a meta saying these voluntary commitments are

0:21:29.640 --> 0:21:32.720
<v Speaker 3>important first step, and let's just talk about some of

0:21:32.720 --> 0:21:36.000
<v Speaker 3>the commitments there because big names also private names like

0:21:36.000 --> 0:21:38.600
<v Speaker 3>Anthropic and Inflection AI are in on this and they're

0:21:38.640 --> 0:21:42.240
<v Speaker 3>saying they're going to share information most importantly trying to

0:21:42.320 --> 0:21:45.360
<v Speaker 3>mitigate some of the risks for governments and civil society.

0:21:45.359 --> 0:21:47.679
<v Speaker 3>But what do you make of the sort of water

0:21:47.760 --> 0:21:50.720
<v Speaker 3>marking virtual water marking and being understood basically when you're

0:21:50.720 --> 0:21:51.439
<v Speaker 3>looking at AI.

0:21:53.560 --> 0:21:57.000
<v Speaker 10>Yeah, Carolyn, I think watermarking is a really important aspect

0:21:57.080 --> 0:22:00.800
<v Speaker 10>of really figuring out, you know, the provenance these systems.

0:22:00.840 --> 0:22:03.560
<v Speaker 2>But before we go there, I want to step back and.

0:22:03.640 --> 0:22:07.399
<v Speaker 10>Just focus on what these voluntary commitments are. As you

0:22:07.520 --> 0:22:12.280
<v Speaker 10>indicated that these voluntary commitments are being committed to by

0:22:12.440 --> 0:22:16.880
<v Speaker 10>seven leading generative Aian Foundation model providers, and they are

0:22:16.880 --> 0:22:21.480
<v Speaker 10>focused on security, safety, and trust, and as you can

0:22:21.560 --> 0:22:25.919
<v Speaker 10>imagine these are not comprehensive, but a great forst step

0:22:26.320 --> 0:22:29.480
<v Speaker 10>to ensure that, you know, the US citizens and the

0:22:29.520 --> 0:22:34.439
<v Speaker 10>federal government deserve the transparency from these large language model providers.

0:22:34.880 --> 0:22:37.560
<v Speaker 10>So coming back to water marking, I think one of

0:22:37.560 --> 0:22:42.640
<v Speaker 10>the core things is really understanding the entire provenance of.

0:22:42.560 --> 0:22:44.840
<v Speaker 2>How these systems are built, where.

0:22:44.640 --> 0:22:47.479
<v Speaker 10>The data is coming from, and water marking is a

0:22:47.520 --> 0:22:52.000
<v Speaker 10>mechanism to really distinguish what is human generated versus what

0:22:52.160 --> 0:22:56.760
<v Speaker 10>is AI generated. So though an important commitment, there needs

0:22:56.760 --> 0:22:58.080
<v Speaker 10>to be more work done in that space.

0:22:58.640 --> 0:23:01.480
<v Speaker 3>We understand actually the system needs to be developed also,

0:23:02.160 --> 0:23:05.080
<v Speaker 3>I mean we understand that you required to report some

0:23:05.160 --> 0:23:08.159
<v Speaker 3>of the risks, but they're not actually required to eliminate

0:23:08.720 --> 0:23:09.360
<v Speaker 3>the risks.

0:23:09.560 --> 0:23:10.680
<v Speaker 4>How do you go about doing that?

0:23:12.200 --> 0:23:14.360
<v Speaker 2>Yeah, I think that's a really important question.

0:23:14.920 --> 0:23:16.960
<v Speaker 10>You know, as we look at some of the poor

0:23:17.000 --> 0:23:22.640
<v Speaker 10>things missing in today's White House announcement. One is, as

0:23:22.680 --> 0:23:26.160
<v Speaker 10>you mentioned, not only reporting, but how are you going

0:23:26.160 --> 0:23:29.919
<v Speaker 10>to hold these companies accountable to what they're reporting against.

0:23:30.440 --> 0:23:34.800
<v Speaker 10>There is no indication in today's announcement around those commitments,

0:23:34.880 --> 0:23:37.840
<v Speaker 10>those benchmarks, and I think those are really critical thing

0:23:37.920 --> 0:23:40.880
<v Speaker 10>that we should be you know, watching out for the

0:23:40.920 --> 0:23:44.560
<v Speaker 10>second thing is these are completely voluntary, So I think

0:23:44.560 --> 0:23:47.680
<v Speaker 10>going back to we've seen in the history that voluntary

0:23:47.720 --> 0:23:51.159
<v Speaker 10>commitments don't really have the impact that we are you know,

0:23:51.240 --> 0:23:54.280
<v Speaker 10>looking to see from these important but.

0:23:54.359 --> 0:23:56.719
<v Speaker 2>Limited set of model providers.

0:23:57.000 --> 0:23:59.720
<v Speaker 10>So the next steps, as I mentioned, is the executive

0:23:59.760 --> 0:24:04.200
<v Speaker 10>of order and more importantly, what would that executive order mandate?

0:24:04.720 --> 0:24:05.560
<v Speaker 2>Because I think.

0:24:05.400 --> 0:24:10.679
<v Speaker 10>What these large POWERFOLII systems need right now is set

0:24:10.920 --> 0:24:14.840
<v Speaker 10>informed regulations and mandates to make sure that there is

0:24:14.880 --> 0:24:17.280
<v Speaker 10>delivery against what is expected of them.

0:24:17.440 --> 0:24:20.880
<v Speaker 3>Okay, so in executive order coming from the administration again

0:24:20.960 --> 0:24:25.160
<v Speaker 3>because Congress is well, unsurprisingly perhaps a little bit slow

0:24:25.240 --> 0:24:28.680
<v Speaker 3>to truly try and get through any changes in law

0:24:29.080 --> 0:24:30.440
<v Speaker 3>and overseeing AI there.

0:24:30.440 --> 0:24:33.000
<v Speaker 4>But what about how it compares to what's Europe's upting.

0:24:35.960 --> 0:24:38.000
<v Speaker 10>I think right now one of the great things that

0:24:38.040 --> 0:24:41.280
<v Speaker 10>I've seen with today's announcement is that there has been

0:24:41.320 --> 0:24:46.440
<v Speaker 10>discussions with the allies, you know, notably we've seen engagement

0:24:46.520 --> 0:24:51.000
<v Speaker 10>with France, Germany, India, UK and others. But I think

0:24:51.040 --> 0:24:53.719
<v Speaker 10>what's going to be really important in the coming weeks

0:24:53.720 --> 0:24:57.360
<v Speaker 10>and months is how there is a global EI governance

0:24:57.440 --> 0:25:00.879
<v Speaker 10>framework aligned to you know, what we care about in

0:25:00.880 --> 0:25:04.040
<v Speaker 10>the United States, but also the great work that European

0:25:04.040 --> 0:25:07.960
<v Speaker 10>Commission has done with respect to the Risk Based EUAI Act,

0:25:08.160 --> 0:25:11.280
<v Speaker 10>which is you know, in works right now and most

0:25:11.320 --> 0:25:12.800
<v Speaker 10>likely going to be past it this year.

0:25:14.119 --> 0:25:19.359
<v Speaker 3>From your perspective, what is self regulation like VISA be

0:25:20.080 --> 0:25:23.280
<v Speaker 3>perhaps and is there some sort of way in which

0:25:23.960 --> 0:25:27.000
<v Speaker 3>we can fundamentally oversee these companies. Is there some sort

0:25:27.040 --> 0:25:30.320
<v Speaker 3>of new part of a regulator that needs to oversee it?

0:25:32.160 --> 0:25:34.720
<v Speaker 10>Yeah, Carolyn, So you know, I do want to note

0:25:34.720 --> 0:25:37.600
<v Speaker 10>that I Advice President Biden, and I sit on the

0:25:37.680 --> 0:25:39.840
<v Speaker 10>National AIA Advisory Council, but.

0:25:39.800 --> 0:25:42.840
<v Speaker 2>Today I'm speaking on personal capacity and as a CEO

0:25:43.040 --> 0:25:44.080
<v Speaker 2>of Predo AI.

0:25:44.680 --> 0:25:48.040
<v Speaker 10>So when we look at these self regulations though, an

0:25:48.080 --> 0:25:53.040
<v Speaker 10>important step to really showing commitment that you know, these

0:25:53.359 --> 0:25:57.800
<v Speaker 10>powerful AI technologies need to be transparent and in service

0:25:57.880 --> 0:26:01.360
<v Speaker 10>of US citizens and federal government. You know, we need

0:26:01.440 --> 0:26:04.679
<v Speaker 10>to make sure that as we progress, there is a

0:26:04.760 --> 0:26:07.760
<v Speaker 10>bigger focus on what does that continuous oversight look like?

0:26:08.400 --> 0:26:10.680
<v Speaker 2>And right now there's two pathways.

0:26:10.680 --> 0:26:13.480
<v Speaker 10>In the short term, we should be looking at our

0:26:13.520 --> 0:26:17.840
<v Speaker 10>current agencies and building capacity to ensure that they provide

0:26:17.840 --> 0:26:19.280
<v Speaker 10>that oversight of.

0:26:19.119 --> 0:26:20.600
<v Speaker 2>These powerful systems.

0:26:20.920 --> 0:26:24.440
<v Speaker 10>But we are also you know, looking ahead in long term,

0:26:24.760 --> 0:26:28.080
<v Speaker 10>and do believe that there's room for a global regulatory

0:26:28.160 --> 0:26:31.480
<v Speaker 10>body that is really tasked with keeping pace with this

0:26:31.760 --> 0:26:37.119
<v Speaker 10>very fast changing, very you know, massive scale technology and

0:26:37.200 --> 0:26:38.359
<v Speaker 10>providing oversight to it.

0:26:38.520 --> 0:26:41.120
<v Speaker 3>And can that break through the geopolitical tension between US

0:26:41.119 --> 0:26:43.280
<v Speaker 3>and China?

0:26:43.400 --> 0:26:44.639
<v Speaker 2>You know, we hope so.

0:26:44.800 --> 0:26:47.720
<v Speaker 10>But I think right now what is really important is

0:26:47.840 --> 0:26:51.119
<v Speaker 10>making sure that United States and its allies come together

0:26:51.560 --> 0:26:56.000
<v Speaker 10>on this global regulatory framework and start putting the foundation

0:26:56.080 --> 0:26:59.720
<v Speaker 10>for what this regulation regulatory body globally could look like.

0:27:00.320 --> 0:27:03.520
<v Speaker 3>Avaruna, great to get your expertise when you are indeed

0:27:03.920 --> 0:27:07.040
<v Speaker 3>helping advise the administration, but here is a capacity, as

0:27:07.080 --> 0:27:09.399
<v Speaker 3>credo A CEO, Averrena is saying me, thank you.

0:27:09.840 --> 0:27:12.280
<v Speaker 4>Meanwhile, sticking with Biden, the president seeing a.

0:27:12.200 --> 0:27:15.440
<v Speaker 3>Major setback to one of his key legislative achievements after

0:27:15.560 --> 0:27:19.040
<v Speaker 3>TSMC has been forced to delay production and its project

0:27:19.119 --> 0:27:22.720
<v Speaker 3>in Arizona, key battleground state next year's election. The company

0:27:22.760 --> 0:27:25.600
<v Speaker 3>won't start production of chips at the Arizona plant until

0:27:25.680 --> 0:27:29.400
<v Speaker 3>after the US presidential elections in twenty twenty five, citing

0:27:29.440 --> 0:27:31.000
<v Speaker 3>look a lack of skilled labor as.

0:27:30.920 --> 0:27:33.760
<v Speaker 4>Well as costs. In America, there's reasons for the postponement.

0:27:35.000 --> 0:27:38.119
<v Speaker 3>Let's talk about VC money a little bit more now next,

0:27:38.119 --> 0:27:40.520
<v Speaker 3>because coming up, safire Adventures is joining us. Of course,

0:27:40.560 --> 0:27:43.520
<v Speaker 3>it's going all in on AI with one billion dollar commitment.

0:27:43.080 --> 0:27:45.720
<v Speaker 4>But we'll discuss the firm's president and co founder I

0:27:45.800 --> 0:27:58.240
<v Speaker 4>do a little bit more. Next. This is Bloomberg Global

0:27:58.280 --> 0:28:00.879
<v Speaker 4>Software VC firms. Safire Venture has.

0:28:00.800 --> 0:28:05.080
<v Speaker 3>Just announced well a commitment of some undeployed capital specifically

0:28:05.119 --> 0:28:10.560
<v Speaker 3>towards AI investing, particularly technology setups that are specializing, perhaps

0:28:10.600 --> 0:28:13.480
<v Speaker 3>even in generative AI. The firm will focus on all

0:28:13.520 --> 0:28:16.720
<v Speaker 3>areas of emerging AI techtact though we understand foundational models

0:28:16.720 --> 0:28:20.480
<v Speaker 3>and neighbors, middleware, next gen AI applications, let's stick into

0:28:20.480 --> 0:28:23.440
<v Speaker 3>all of it. Safire Ventures president and co founder Jadas

0:28:23.560 --> 0:28:27.120
<v Speaker 3>joins us more for today's VC Spotlight and ju are

0:28:27.160 --> 0:28:30.439
<v Speaker 3>the second VC on today talking about a commitment in AI.

0:28:30.840 --> 0:28:32.760
<v Speaker 4>The previous was a new round of funding.

0:28:33.000 --> 0:28:36.360
<v Speaker 3>Yours is money you'd raise, but really want to signal

0:28:36.400 --> 0:28:39.440
<v Speaker 3>basically to entrepreneurs that this is your sweet spot that

0:28:39.520 --> 0:28:42.160
<v Speaker 3>you want to remain and show commitment to AI. You

0:28:42.200 --> 0:28:44.400
<v Speaker 3>already have loads though, right, how much have you already

0:28:44.400 --> 0:28:45.560
<v Speaker 3>got deployed across ais.

0:28:46.520 --> 0:28:48.719
<v Speaker 1>First of all, Caroline, thank you for having me on

0:28:48.760 --> 0:28:52.640
<v Speaker 1>the show. We have about ten billion under management. Ron

0:28:52.800 --> 0:28:55.200
<v Speaker 1>Off that about two and a half billion has been

0:28:55.240 --> 0:29:00.160
<v Speaker 1>invested already in sixty AI companies. This new commitment and

0:29:00.440 --> 0:29:04.560
<v Speaker 1>in AI companies is really a signal to entrepreneurs that

0:29:04.720 --> 0:29:07.360
<v Speaker 1>you know, not only are we open for business for

0:29:07.840 --> 0:29:12.680
<v Speaker 1>investing in AI oriented companies, but more importantly, we are

0:29:12.800 --> 0:29:16.720
<v Speaker 1>creating a full suite of services that will help these

0:29:17.680 --> 0:29:22.080
<v Speaker 1>entrepreneurs build and you know, the next generation of AI companies.

0:29:22.200 --> 0:29:24.800
<v Speaker 3>Oh that almost takes me back to the heady days

0:29:24.840 --> 0:29:28.120
<v Speaker 3>of what twenty one, where all vcs are out there

0:29:28.160 --> 0:29:31.040
<v Speaker 3>trying to say, why choose me? Isn't that fierce the

0:29:31.080 --> 0:29:34.400
<v Speaker 3>competition for the latest and great stay I entrepreneurs.

0:29:36.200 --> 0:29:38.880
<v Speaker 1>No, that's not the case. You know. I think it's

0:29:38.920 --> 0:29:41.640
<v Speaker 1>a little bit of a signal within our firm to

0:29:41.840 --> 0:29:45.600
<v Speaker 1>help kind of solify the goals of what all the

0:29:45.640 --> 0:29:49.320
<v Speaker 1>investors should be looking for. But it's also a set

0:29:49.360 --> 0:29:52.520
<v Speaker 1>of services that we are building up around AI where

0:29:52.560 --> 0:29:55.520
<v Speaker 1>we kind of go in and help our portfolio companies

0:29:55.600 --> 0:29:58.280
<v Speaker 1>and the company that we invest in in how they're

0:29:58.320 --> 0:30:01.240
<v Speaker 1>going to use AI and how they're actually going to

0:30:01.280 --> 0:30:03.720
<v Speaker 1>take it to market and figure out how they can

0:30:03.800 --> 0:30:06.680
<v Speaker 1>use AI to solve certain solutions and certain problems that's

0:30:06.680 --> 0:30:07.160
<v Speaker 1>out there.

0:30:07.360 --> 0:30:09.719
<v Speaker 3>You tend to invest in companies that already have some

0:30:09.760 --> 0:30:13.320
<v Speaker 3>sort of product market fit. What pain points are you

0:30:13.440 --> 0:30:15.920
<v Speaker 3>really focused on that you want the AI to solve.

0:30:17.160 --> 0:30:20.080
<v Speaker 1>Well, first and foremost, you know, I think this new

0:30:20.280 --> 0:30:23.880
<v Speaker 1>generation of AI, the generative AI, will really really help

0:30:24.160 --> 0:30:27.160
<v Speaker 1>increase the way that people are actually change the way

0:30:27.480 --> 0:30:32.280
<v Speaker 1>people interact. The user interface is going to change completely, Right.

0:30:32.480 --> 0:30:35.520
<v Speaker 1>We typically interact with each other through voice and text

0:30:35.880 --> 0:30:38.120
<v Speaker 1>and in the natural way, but when we interact with

0:30:38.160 --> 0:30:41.600
<v Speaker 1>an application, we're always using a keyboard and announce, right,

0:30:41.920 --> 0:30:45.040
<v Speaker 1>and that will completely change with generative AI that's coming out.

0:30:45.280 --> 0:30:48.920
<v Speaker 1>But I think fundamentally, you know, this technology that has

0:30:49.000 --> 0:30:52.000
<v Speaker 1>come up recently with large language models is going to

0:30:52.080 --> 0:30:55.720
<v Speaker 1>change the way we actually do and solve all our tasks. Right.

0:30:55.800 --> 0:30:59.440
<v Speaker 1>The way we develop software, the way we you know,

0:30:59.520 --> 0:31:02.400
<v Speaker 1>go in and create and do certain tasks will all

0:31:02.440 --> 0:31:04.720
<v Speaker 1>be changed because of this new technology.

0:31:05.320 --> 0:31:08.080
<v Speaker 3>What are valuations like to some of the companies that

0:31:08.120 --> 0:31:09.160
<v Speaker 3>you're currently looking at.

0:31:10.320 --> 0:31:13.640
<v Speaker 1>Yes, the valuations are back to the heady days, right

0:31:14.000 --> 0:31:17.880
<v Speaker 1>where if you have AI companies you know, you can

0:31:17.960 --> 0:31:22.000
<v Speaker 1>raise that practically any valuation you want, but we actually

0:31:22.080 --> 0:31:25.400
<v Speaker 1>believe in the fundamental still. So we have been pretty

0:31:26.120 --> 0:31:29.920
<v Speaker 1>looking at companies that have efficient business models but are

0:31:30.280 --> 0:31:33.000
<v Speaker 1>using AI to kind of change the way they are

0:31:33.000 --> 0:31:35.640
<v Speaker 1>going to market, the way they are changing the problem

0:31:35.680 --> 0:31:36.400
<v Speaker 1>that they're solving.

0:31:36.920 --> 0:31:39.880
<v Speaker 3>I feel like I'm asking this day in day out,

0:31:40.000 --> 0:31:43.280
<v Speaker 3>but I'm not yet sure. I didn't know if you

0:31:43.360 --> 0:31:48.000
<v Speaker 3>are as to how the overall open source versus closed

0:31:48.000 --> 0:31:50.920
<v Speaker 3>foundational models ends up being used.

0:31:51.040 --> 0:31:52.520
<v Speaker 4>How do you see that evolving?

0:31:52.840 --> 0:31:56.640
<v Speaker 3>What are the key areas that you feel startups should

0:31:56.680 --> 0:31:57.239
<v Speaker 3>be building in.

0:31:58.520 --> 0:32:01.480
<v Speaker 1>Yeah, Look, I think that the fundamental thing that has

0:32:01.560 --> 0:32:05.280
<v Speaker 1>changed with this new generation of technology is the data mode.

0:32:05.360 --> 0:32:08.959
<v Speaker 1>As we talk about, right, models that are out there,

0:32:09.080 --> 0:32:12.200
<v Speaker 1>you know, whether they're open source or closed source is

0:32:12.280 --> 0:32:15.320
<v Speaker 1>as good as they can be. Actually, the application that

0:32:15.360 --> 0:32:18.360
<v Speaker 1>are being built on the models are far behind and

0:32:18.400 --> 0:32:22.240
<v Speaker 1>the models themselves. So we fundamentally think it doesn't matter

0:32:22.280 --> 0:32:24.600
<v Speaker 1>if it's an open source or a closed source model.

0:32:25.000 --> 0:32:27.800
<v Speaker 1>It's how you use the data to train those models

0:32:27.920 --> 0:32:31.000
<v Speaker 1>and provide the intelligence and solve the problem that you

0:32:31.080 --> 0:32:35.080
<v Speaker 1>need to solve. Right, And I think the startups that

0:32:35.120 --> 0:32:37.880
<v Speaker 1>will be successful are the ones who are able to

0:32:38.080 --> 0:32:41.240
<v Speaker 1>use this data that they're able to collect and preserve

0:32:41.480 --> 0:32:43.640
<v Speaker 1>and solve the problem. It's not going to be about

0:32:43.640 --> 0:32:47.280
<v Speaker 1>the foundational models, right I think those things have been done,

0:32:47.440 --> 0:32:50.120
<v Speaker 1>and there might be some closed source models that might

0:32:50.160 --> 0:32:53.640
<v Speaker 1>become popular, but overall, I think open source models are

0:32:53.680 --> 0:32:55.840
<v Speaker 1>going to win out, and it's all about the data

0:32:56.200 --> 0:32:58.600
<v Speaker 1>and how you use the data train those models.

0:32:58.760 --> 0:33:02.480
<v Speaker 4>So data is value proposition here Jabe.

0:33:02.640 --> 0:33:03.120
<v Speaker 1>Exactly.

0:33:03.680 --> 0:33:05.160
<v Speaker 4>That's sort of changing as well.

0:33:05.280 --> 0:33:08.680
<v Speaker 3>I mean, individuals suddenly become aware of how much their

0:33:08.680 --> 0:33:12.080
<v Speaker 3>own data is valuable. We have certain institutions trying to

0:33:12.080 --> 0:33:13.840
<v Speaker 3>stop the amount of scraping that's going on.

0:33:14.320 --> 0:33:16.480
<v Speaker 4>How are you seeing startups.

0:33:16.000 --> 0:33:19.040
<v Speaker 3>Navigate this and ensure that they do build these modes

0:33:19.080 --> 0:33:21.760
<v Speaker 3>and they have access to the right data to create.

0:33:21.480 --> 0:33:26.240
<v Speaker 1>Real value exactly. Well, these are all opportunities for startups

0:33:26.320 --> 0:33:29.360
<v Speaker 1>right where large enterprises do not want their data to

0:33:29.760 --> 0:33:32.360
<v Speaker 1>go out to the open source community, and other people

0:33:32.400 --> 0:33:35.360
<v Speaker 1>can use them use their data to train their models.

0:33:35.640 --> 0:33:38.600
<v Speaker 1>So this is an opportunity. And also we are looking

0:33:38.640 --> 0:33:41.000
<v Speaker 1>for startups who are able to get to the data

0:33:41.040 --> 0:33:43.560
<v Speaker 1>and use that data you know in some way that

0:33:43.560 --> 0:33:46.240
<v Speaker 1>they solve the problem. So I think, you know, there's

0:33:46.280 --> 0:33:48.720
<v Speaker 1>going to be going to see number of use cases

0:33:48.760 --> 0:33:52.280
<v Speaker 1>where large enterprises will build applications because they have the

0:33:52.400 --> 0:33:55.440
<v Speaker 1>data within you know, in their in their in house

0:33:55.960 --> 0:33:58.960
<v Speaker 1>programs or software. And then there will be startups that

0:33:59.200 --> 0:34:03.120
<v Speaker 1>enable these prices to build applications using the data that

0:34:03.200 --> 0:34:06.080
<v Speaker 1>they have and provide you know, some kind of solution

0:34:06.200 --> 0:34:08.719
<v Speaker 1>for their customers. And then of course there's going to

0:34:08.760 --> 0:34:11.880
<v Speaker 1>be companies that enable you to protect your data right

0:34:11.960 --> 0:34:14.320
<v Speaker 1>so that it doesn't get corrupt or used by somebody

0:34:14.400 --> 0:34:16.520
<v Speaker 1>else to train their models and make a profit out

0:34:16.520 --> 0:34:16.759
<v Speaker 1>of it.

0:34:17.000 --> 0:34:19.160
<v Speaker 3>What do you think these B to B companies are

0:34:19.200 --> 0:34:22.280
<v Speaker 3>being grown right now? And how diverse are those founders?

0:34:24.200 --> 0:34:27.719
<v Speaker 1>You know, the founders that we are finding again are

0:34:27.800 --> 0:34:31.439
<v Speaker 1>coming from areas where they actually know the domain. Right

0:34:31.560 --> 0:34:34.839
<v Speaker 1>in B to B software, having the domain is very

0:34:34.920 --> 0:34:38.120
<v Speaker 1>very critical. So if you're coming from legal tech or

0:34:38.160 --> 0:34:41.799
<v Speaker 1>if you're coming from healthcare, you know the domain and

0:34:41.840 --> 0:34:44.399
<v Speaker 1>you know the problem, and then you're going out and

0:34:44.480 --> 0:34:47.960
<v Speaker 1>using this new technology to actually solve this problem better

0:34:48.160 --> 0:34:52.200
<v Speaker 1>and easier. Right, So, we are still looking for entrepreneurs

0:34:52.200 --> 0:34:55.960
<v Speaker 1>who have domain expertise because just because you are you know,

0:34:56.560 --> 0:34:59.719
<v Speaker 1>in depth in AI or generative AI doesn't mean that

0:34:59.760 --> 0:35:01.880
<v Speaker 1>you are understand how you can solve the problem for

0:35:02.000 --> 0:35:04.680
<v Speaker 1>a lawyer or for a healthcare specialist.

0:35:05.760 --> 0:35:07.360
<v Speaker 4>Jade As, thank you for joining us.

0:35:07.360 --> 0:35:11.680
<v Speaker 3>SAFA Ventures president co founder on the reallocation of funds

0:35:11.719 --> 0:35:13.880
<v Speaker 3>really specifically towards artificial intelligence.

0:35:21.719 --> 0:35:22.680
<v Speaker 4>It's been going viral.

0:35:22.880 --> 0:35:26.400
<v Speaker 3>New Jersey suing the federal government this in the hopes

0:35:26.440 --> 0:35:29.560
<v Speaker 3>to block New York's congestion pricing proposal, which would charge

0:35:29.640 --> 0:35:32.120
<v Speaker 3>drivers entering Midtown Manhattan as much as twenty three dollars.

0:35:32.480 --> 0:35:34.839
<v Speaker 4>Bloomberg's Michelle Caski joins us now for.

0:35:34.880 --> 0:35:38.400
<v Speaker 3>More and they call it a brazen money grab?

0:35:38.920 --> 0:35:39.640
<v Speaker 4>Is it, Michelle?

0:35:41.400 --> 0:35:45.520
<v Speaker 11>From New Jersey's perspective, it is. They're saying, Look, our

0:35:45.680 --> 0:35:51.200
<v Speaker 11>residents New Jersey commuters heading into Manhattan already paid tools

0:35:51.239 --> 0:35:54.960
<v Speaker 11>and crossings such as the Hudson Tunnel and Kinternnel, George

0:35:55.000 --> 0:35:57.960
<v Speaker 11>Washington Bridge. And what they're saying is if you put

0:35:58.000 --> 0:36:02.240
<v Speaker 11>this additional potential twenty three dollar charge on top of that,

0:36:02.239 --> 0:36:04.840
<v Speaker 11>that's going to be it's going to be tough for

0:36:04.920 --> 0:36:05.960
<v Speaker 11>New Jersey families.

0:36:06.520 --> 0:36:10.520
<v Speaker 3>They're also trying to fight this from an environmental impact perspective,

0:36:10.600 --> 0:36:13.680
<v Speaker 3>Can you explain that they're saying that, particularly to the

0:36:13.719 --> 0:36:16.000
<v Speaker 3>north of Manhattan and the George Washington Bridge, that you're

0:36:16.000 --> 0:36:16.879
<v Speaker 3>going to have a build up.

0:36:18.560 --> 0:36:19.960
<v Speaker 2>That's that's the risk here.

0:36:20.000 --> 0:36:24.680
<v Speaker 11>That's that is that is what could happen is you

0:36:24.719 --> 0:36:28.360
<v Speaker 11>could have more traffic in certain areas of New Jersey,

0:36:28.600 --> 0:36:33.520
<v Speaker 11>maybe even the South Bronx, increased pollution in those areas,

0:36:34.080 --> 0:36:36.759
<v Speaker 11>while at the same time congestion pricing. The goal of

0:36:36.800 --> 0:36:40.480
<v Speaker 11>congestion pricing is to ease traffic in midtown Manhattan and.

0:36:40.600 --> 0:36:43.840
<v Speaker 2>Produce and reduce pollution in midtown Manhattan.

0:36:44.800 --> 0:36:46.560
<v Speaker 3>How much of a risk is this? I mean, this

0:36:46.680 --> 0:36:49.320
<v Speaker 3>has been done in other cities. I think of London's

0:36:49.320 --> 0:36:53.320
<v Speaker 3>had a congestion charge for years now, but obviously doesn't

0:36:53.320 --> 0:36:57.480
<v Speaker 3>have different states. They perhaps just have different counties to

0:36:57.480 --> 0:37:00.760
<v Speaker 3>be marked to be navigating with. But ultimate there's always

0:37:01.160 --> 0:37:03.399
<v Speaker 3>some nimbiasm to all of these things. Do you think

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<v Speaker 3>that they can be navigated?

0:37:06.480 --> 0:37:08.920
<v Speaker 11>There is a chance, I mean, maybe that is part

0:37:09.080 --> 0:37:14.000
<v Speaker 11>of Governor Phil Murphy's New Jersey Governor Phil Murphy's plan

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<v Speaker 11>is to go forward with this suit against the United

0:37:17.719 --> 0:37:20.319
<v Speaker 11>States Department of Transportation in.

0:37:20.280 --> 0:37:24.480
<v Speaker 2>The hopes that New York will compromise.

0:37:24.000 --> 0:37:26.480
<v Speaker 11>In some way maybe give some sort of an exemption

0:37:26.640 --> 0:37:28.120
<v Speaker 11>to New Jersey commuters.

0:37:29.120 --> 0:37:33.200
<v Speaker 2>That's very possible. But the problem with trying to figure

0:37:33.239 --> 0:37:33.640
<v Speaker 2>out a.

0:37:35.200 --> 0:37:39.160
<v Speaker 11>Tolling structure is that the more exemptions you give that

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<v Speaker 11>means the higher the actual toll needs to be because

0:37:42.719 --> 0:37:45.839
<v Speaker 11>other motorists will be making up for those exemptions.

0:37:46.360 --> 0:37:49.920
<v Speaker 3>Yeah, the point is to either have more evs so

0:37:49.920 --> 0:37:51.919
<v Speaker 3>it's less dabveraging into the environment if you don't count

0:37:51.960 --> 0:37:54.200
<v Speaker 3>the battery and element, or indeed more people on public

0:37:54.239 --> 0:37:56.560
<v Speaker 3>transports so you cut down on those fumes. We'll see

0:37:56.560 --> 0:37:59.759
<v Speaker 3>how the battle commences. Michelle Caskey, thank you sin great

0:37:59.840 --> 0:38:01.960
<v Speaker 3>on is there? Meanwhile, look, that.

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<v Speaker 4>Does it for this day, this week of Bloomberg Technology.

0:38:05.160 --> 0:38:06.960
<v Speaker 4>Do not forget to check out our podcast though you

0:38:06.960 --> 0:38:08.839
<v Speaker 4>can find it on the terminal if you've got one.

0:38:09.080 --> 0:38:12.840
<v Speaker 3>Also go online on Apple or Spotify, on iHeart from

0:38:13.160 --> 0:38:15.720
<v Speaker 3>New York and well from New Jersey.

0:38:15.880 --> 0:38:18.520
<v Speaker 4>Just then as well, this is Bloomberg Technology. Have a

0:38:18.560 --> 0:38:19.240
<v Speaker 4>wonderful weekend.