WEBVTT - Goldman Lost $1.2B and Bitcoin Rebounds

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<v Speaker 1>I'm Caroline Hired of Bloomberg's World. I quarters in New York,

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<v Speaker 1>and I made Lovelow one more time this week in Manhattan. Next,

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<v Speaker 1>my good friend, this is Bloomberg Technology. Goldman Sachs has

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<v Speaker 1>once had a lofty goal of storming the consumer market

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<v Speaker 1>with the Digital Bank of the future. Now all that's

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<v Speaker 1>left as a unit. The racked up on one point

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<v Speaker 1>two billion dollars in losses, most of which was linked

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<v Speaker 1>to the high profile Apple cart. And bitcoin is back,

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<v Speaker 1>well sort of, at least it's had the best week

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<v Speaker 1>since one after losing more than six its value in

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<v Speaker 1>two more on the rally later this hour, and Tesla

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<v Speaker 1>is slashing car prices, this time in the U S

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<v Speaker 1>and sum of Europe. The ev maker is trying to

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<v Speaker 1>stoke demand, but instead stokes investor concern. We discussed, but

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<v Speaker 1>first let's get to these markets. So check in on

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<v Speaker 1>the last day of training the week of course, ahead

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<v Speaker 1>of what is going to be a shortened week next week.

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<v Speaker 1>As we take time off to Mark Martin Luther King day,

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<v Speaker 1>I'm looking at the SP five hundred, almost cracking the

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<v Speaker 1>four thousand level. Three we're above that two day moving

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<v Speaker 1>average up four tens of percent. The NASDAC outperforms up

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<v Speaker 1>seven tenths of a percent, in fact, the longest winning

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<v Speaker 1>street since November one. And even this is a global

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<v Speaker 1>risk on move. We saw Chinese stocks once again, the

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<v Speaker 1>story of China's unfolding on reopening story post those COVID lockdowns.

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<v Speaker 1>We're seeing two point eight percent put to work in

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<v Speaker 1>the in the stocks of course that are traded here

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<v Speaker 1>in the US in the Golden Dragon. Lets something a

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<v Speaker 1>little look a what's happening in terms of crypto, because

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<v Speaker 1>as I said, this is sort of a risk on move.

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<v Speaker 1>No wonder therefore Bitcoin continues. It's as elevation. Look at this,

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<v Speaker 1>we're cracking nineteen thousand, we're now and fifty four close

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<v Speaker 1>to that twenty mark. We're up almost twenty over the

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<v Speaker 1>last few days and the beginning of January. Really this

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<v Speaker 1>continues to be well at last, bit of an outperforming market.

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<v Speaker 1>D Yeah, it's really interesting. I'm seeing a lot of

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<v Speaker 1>similar themes in the specific names. Right, Apple finishing strong

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<v Speaker 1>up one percent this Friday, actually had its best week

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<v Speaker 1>since November. And after we got that cp I print,

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<v Speaker 1>we're talking about the FED moving forward at least in

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<v Speaker 1>the short term. With twenty five basis points increment hikes,

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<v Speaker 1>we're feeling a lot better about the technology sector. That said,

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<v Speaker 1>there is a lot of red on my screen, and

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<v Speaker 1>Tesla is a big contributing factor to that. Ultimately, we

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<v Speaker 1>closed down about a percentage point on Tesla. We have

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<v Speaker 1>been down as much as six percent earlier in the

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<v Speaker 1>session after the ev maker cut prices substantially in the

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<v Speaker 1>United States and also in Europe. You can see that

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<v Speaker 1>had a knock on effect on some of its pure

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<v Speaker 1>play e v peers, including Rivian, which was down six

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<v Speaker 1>and a half percent. NDO Global Really and Training. This

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<v Speaker 1>is leon on Messi, right, this is Messi's big brand

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<v Speaker 1>and clothing company. It had its first trading session this

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<v Speaker 1>Friday after a five dollar I p O. You can

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<v Speaker 1>see actually all told, we're closed at four dollars. Okay,

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<v Speaker 1>this isn't really tech. This is more about social media

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<v Speaker 1>influencing and this is very much a small cap company.

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<v Speaker 1>But at one point, and you've got to take my

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<v Speaker 1>word for it, because we don't see that story on

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<v Speaker 1>the screen, we were up two hundred thirty from that

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<v Speaker 1>I p O price. What can happen in a single

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<v Speaker 1>session is bizarre, but interesting to see that star power,

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<v Speaker 1>that social media influence leverage into the equity markets. Amazon

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<v Speaker 1>is fascinating. Amazon has just had its best week since

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<v Speaker 1>And you and I were talking off camera, Caroline, how

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<v Speaker 1>that kind of went under the radar. Remember what happened

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<v Speaker 1>in April. We all cain't of realized we'd be stuck

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<v Speaker 1>at home indefinitely, it seemed at that time. And Amazon

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<v Speaker 1>was the main beneficiary at that point. Now, with that

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<v Speaker 1>pivot in the psychology around inflation in the FED, well,

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<v Speaker 1>Amazon is also having a really good period right now. Yeah,

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<v Speaker 1>and still fifty five buyers on that particular stock only

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<v Speaker 1>one cell, So we wonder how long that winning formula

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<v Speaker 1>might last. We talked technicals, we talked stocks. We also

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<v Speaker 1>talk what's happening in the earnings that relates to technology,

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<v Speaker 1>because three months ago Goldman Sachs created a new division

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<v Speaker 1>to how's what's left of its for a on Main Street.

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<v Speaker 1>It's called platform Solutions, which includes Goldman's Apple Card. Now

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<v Speaker 1>it's giving shareholders kind of clearer guidance on the financials

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<v Speaker 1>and the unit. Get this, wracked up one point two

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<v Speaker 1>billion dollars in losses in the first nine months of

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<v Speaker 1>two of their own Snai bus. He's been busy converting

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<v Speaker 1>basically all the other band cunings that come out today,

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<v Speaker 1>but managed to get on this particular focus that we

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<v Speaker 1>had for Goldman sax To and this area that basically

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<v Speaker 1>I mean, it's this marketing spend on the Apple College

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<v Speaker 1>or where are these losses mounting from? Well, there are

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<v Speaker 1>a few things that you have to look at. When

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<v Speaker 1>you look at this unit, and this is a unit

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<v Speaker 1>one point to billion dollars is for the first ten

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<v Speaker 1>months of the year. We also have details and also

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<v Speaker 1>previously reported by Samaphore that those losses can amount to

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<v Speaker 1>up to two billion dollars through the full year. So

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<v Speaker 1>more clarity when Goldman reports earnings on Tuesday, much more clarity. Remember,

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<v Speaker 1>David Solomon said that they would have to pivot the

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<v Speaker 1>business already. The question is how much more after these losses?

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<v Speaker 1>Where do they come from? As you ask, part of

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<v Speaker 1>it is operating expenses, which have risen quite meaningfully over time.

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<v Speaker 1>But part of this is also provisions for credit losses.

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<v Speaker 1>We're seeing a lot of banks announced those provisions for

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<v Speaker 1>credit losses. Now Goldman has been getting new consum as,

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<v Speaker 1>they've been getting younger consumers will see how their losses

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<v Speaker 1>stack up against the other banks, which are also showing

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<v Speaker 1>that those charge offs in particular are rising as they

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<v Speaker 1>get new credit card customers. So definitely a competitive business Goldman.

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<v Speaker 1>Remember they are one of the only banks with a

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<v Speaker 1>meaningful relationship with a very large technology firm. City Group

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<v Speaker 1>had tried to do something with Google about a year

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<v Speaker 1>or so ago that kind of fell through, So Apple

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<v Speaker 1>was supposed to be a huge competitive advantage. We expect

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<v Speaker 1>them to lean on the relationship with Apple continuously, but

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<v Speaker 1>again not only earnings. Goldman's investor Day at the end

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<v Speaker 1>of February should give us a sense of how far

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<v Speaker 1>these ambitions will go. Remind me, like, why it's beneficial

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<v Speaker 1>to tie up with Apple here for Goldman, because at

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<v Speaker 1>the moment when I use Apple Pay, I don't care

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<v Speaker 1>which I mean, I just kind about which credit card

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<v Speaker 1>I'm using as to whether standing on my credit Yeah,

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<v Speaker 1>why does it matter? Well, there's a few things. When

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<v Speaker 1>all of this had started, a couple of things were

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<v Speaker 1>happening at the same time. For Goldman's acts, it was

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<v Speaker 1>a matter of diversifying its revenue base, and so what

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<v Speaker 1>what is that going to cost? Them over the longer

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<v Speaker 1>term to do. When you look at the strategies of

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<v Speaker 1>the other banks, they've doubled down in things like wealth,

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<v Speaker 1>for example. Even when you come to fintech, they've doubled

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<v Speaker 1>down with wealth at that time. Also, a lot of

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<v Speaker 1>the big technology firms had these grand ambitions to be

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<v Speaker 1>in finance in a bigger way, which has not really

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<v Speaker 1>materialized either, and so you have more partnerships and friendships

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<v Speaker 1>rather than real competitive issues here. We'll see if that

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<v Speaker 1>changes in the next ten years or so. But I

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<v Speaker 1>do want to point out really quickly the other story

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<v Speaker 1>that in fintech that we want to keep an eye out.

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<v Speaker 1>What I was going to say that you know, for

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<v Speaker 1>me somebody who covers the technology sector, sometimes there's a

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<v Speaker 1>bit of a land grab. You see all of these

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<v Speaker 1>kind of legacy players like in finance and banks, they

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<v Speaker 1>want to move into fintech. Goldman is not alone in that.

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<v Speaker 1>JP Morgan, you know, actually coming clean about its own

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<v Speaker 1>problem that it's experiencing financially on that to remember, this

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<v Speaker 1>is actually kind of this is a story that's called

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<v Speaker 1>the VC community by storm. Also, this fintech firm Frank

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<v Speaker 1>which was a college financial planning kind of platform here,

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<v Speaker 1>So a lot of college students coming out using it.

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<v Speaker 1>They are suing them for misstating the types of account

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<v Speaker 1>or the number of accounts that it had. Remember, they're

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<v Speaker 1>disputing this the frank founder. But take a listen to

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<v Speaker 1>what Jamie Diamond had to say. He said it was

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<v Speaker 1>a huge mistake. But the acquisitions are done by the businesses,

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<v Speaker 1>but there's also a centralized team that does extensive due diligence.

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<v Speaker 1>So the business does it, the U the central ifed

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<v Speaker 1>team does it. You've been doing it for twenty years,

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<v Speaker 1>whether you like we just started doing something like that.

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<v Speaker 1>And obviously there are always lessons learned, and you know,

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<v Speaker 1>at one point we'll tell you the lesson will learn

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<v Speaker 1>to here when there's been a data litigation. These huge mistakes,

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<v Speaker 1>these lessons learned. Remember the analyst investor community has been

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<v Speaker 1>wondering about Jamie Diamond and JP Morgan Frankly, to your point,

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<v Speaker 1>the rest of Wall Street here, their acquisitions free when

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<v Speaker 1>you come to the fintech world, multibillion dollars in some cases.

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<v Speaker 1>And the criticism here comes down to that due diligence

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<v Speaker 1>and how they didn't see something like this I'm gonna

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<v Speaker 1>still page from Eric Newcomer and say that, you know,

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<v Speaker 1>it's very rare for things like this to play out

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<v Speaker 1>so publicly in the financial technology world, in the VC

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<v Speaker 1>backed space. So you know, it's not a lot of money.

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<v Speaker 1>For JP Morgan, it was a hundred seventy million dollars.

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<v Speaker 1>This is it's not and it's not as though a

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<v Speaker 1>few vcs have written a few checks that rates have

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<v Speaker 1>been mistaken once and the razing exactly that I say exactly,

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<v Speaker 1>but I will say, after the exuberance that we've seen

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<v Speaker 1>so far, perhaps banks will be thinking twice when they

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<v Speaker 1>listen to thirty year old standards. Yeah, jamie's'm in not

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<v Speaker 1>one to mince his words. I think that's probably putting

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<v Speaker 1>it a little bit lightly blue MECTIONALI bassing, thank you,

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<v Speaker 1>amazing week, terrific reporting. Let's talk crypto in particular. Let's

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<v Speaker 1>talk bitcoin because yes, we all know lost about six

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<v Speaker 1>last year is its second worst annual performance on record,

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<v Speaker 1>but now a little bit more of a promising start

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<v Speaker 1>to the new year. Read. Yeah, there's so many ways

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<v Speaker 1>to size and scope this. I mean, one of them

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<v Speaker 1>is to talk about sort of the run we're on

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<v Speaker 1>new year, new Vibe Bitcoin up for ten consecutive sessions.

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<v Speaker 1>It's best run or streak of gains going back to July.

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<v Speaker 1>I find that very interesting. What is the psychology driving

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<v Speaker 1>the market right now? There was a fantastic story as

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<v Speaker 1>well on the Bloomberg terminal this Friday that caught my

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<v Speaker 1>about another corner of the crypto market, which is crypto

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<v Speaker 1>asset focused fund e t s. Right, remember e t

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<v Speaker 1>s for a six point eight trillion dollar industry. Two

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<v Speaker 1>thousand of them, two thousand across different themes attracted by

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<v Speaker 1>Bloomberg excluding leverage products. Now there are four lines on

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<v Speaker 1>this chart to my right hand side, which I'll get

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<v Speaker 1>to a minute. But of those two thousand ets tracks

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<v Speaker 1>by Bloomberg, which across lots of different things, lots of

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<v Speaker 1>different equity products, the top four teen, all top fourteen

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<v Speaker 1>are crypto related year today and exactly it's astonishing performance. Now,

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<v Speaker 1>these are the four that I've picked out for you,

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<v Speaker 1>the top four performers, the Valk bitcoin miners e t F,

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<v Speaker 1>as you can see on the screen next to me,

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<v Speaker 1>up almost sev in the first what is it, thirteen

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<v Speaker 1>days and only seven trading sessions or so of the

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<v Speaker 1>year so far, and it gives you an idea that

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<v Speaker 1>there is some confidence coming back. Now, this is a

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<v Speaker 1>kind of varied list of assets, right, and we've talked

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<v Speaker 1>about bitcoin. That's one example, the biggest digital asset or

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<v Speaker 1>digital currency by market value globally. My question is, has

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<v Speaker 1>the kind of I don't want to use the word

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<v Speaker 1>contagion risk from FTX from what we've seen from regulators

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<v Speaker 1>that ended two? Are we kind of moving past that now?

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<v Speaker 1>And study is build a bit of momentum? That's not

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<v Speaker 1>for me to answer. I'm fortunate to say I think

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<v Speaker 1>we have somebody that probably could weigh in on that

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<v Speaker 1>character we do. And also how much of this is

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<v Speaker 1>a macro trend because let's face it, we've had risk

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<v Speaker 1>assets performed pretty well and the dollar down. Let's talk

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<v Speaker 1>at all through with still Mark, founder managing partner, and

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<v Speaker 1>he's clean who joins us now, and this is always

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<v Speaker 1>great to get your perspective. We know you're focus on bitcoin.

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<v Speaker 1>You'll focus on what is the O G of the

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<v Speaker 1>crypto space, and I'm interested in first and foremost on

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<v Speaker 1>what the stealth rally that's kind of taken us by

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<v Speaker 1>surprise here. It's always hard to know why bitcoins price

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<v Speaker 1>moves when it gets but in times of chaos in

0:11:11.320 --> 0:11:14.319
<v Speaker 1>the crypto market, we will often see a flight to

0:11:14.480 --> 0:11:18.000
<v Speaker 1>security and stability, and the market knows that to be

0:11:18.320 --> 0:11:22.480
<v Speaker 1>Bitcoin and and potentially this this week's rally and BTC

0:11:23.760 --> 0:11:27.240
<v Speaker 1>to your to that perspective, is this, as Ed pondered,

0:11:27.960 --> 0:11:30.880
<v Speaker 1>a movement away from the contagion risk or is this

0:11:31.200 --> 0:11:34.280
<v Speaker 1>perhaps more of a macro trend, more of tech stalks

0:11:34.320 --> 0:11:38.160
<v Speaker 1>doing relatively well dollar on the weakening perspective? Is is

0:11:38.160 --> 0:11:41.520
<v Speaker 1>that what's happening? What do you think? There's a few

0:11:41.600 --> 0:11:45.360
<v Speaker 1>courses that play here, of course, especially as is related

0:11:45.400 --> 0:11:49.280
<v Speaker 1>to bitcoin's short term price movements. Where still markets focused,

0:11:49.280 --> 0:11:51.960
<v Speaker 1>of course, is in the long term and the value

0:11:52.360 --> 0:11:57.200
<v Speaker 1>generated by the economic activity happening on top of bitcoin technologies,

0:11:57.720 --> 0:12:00.720
<v Speaker 1>and we know that adoption continues to it at a

0:12:00.880 --> 0:12:04.560
<v Speaker 1>very steady cadence. The price will reflect some of that

0:12:04.760 --> 0:12:08.320
<v Speaker 1>as well as the expansion of bitcoin's utility. So as

0:12:08.360 --> 0:12:11.280
<v Speaker 1>we see the Lightning network mature, for instance, and the

0:12:11.360 --> 0:12:15.480
<v Speaker 1>utilities set expand we understand the intrinsic value of bitcoin

0:12:15.559 --> 0:12:19.440
<v Speaker 1>and it's underlying technologies to have increased until I emagine

0:12:19.480 --> 0:12:22.800
<v Speaker 1>the price movements reflect in understanding of that as well.

0:12:23.200 --> 0:12:25.640
<v Speaker 1>At least, Happy Friday to you. It's good to see you.

0:12:25.640 --> 0:12:27.320
<v Speaker 1>You know, we we we've kind of jumped straight in

0:12:27.360 --> 0:12:31.119
<v Speaker 1>here to the bigger picture of what's driving the psychology

0:12:31.120 --> 0:12:32.960
<v Speaker 1>of the market. What what was fascinating for me is,

0:12:33.200 --> 0:12:35.319
<v Speaker 1>you know, bitcoins continued to push higher in a week

0:12:35.320 --> 0:12:38.080
<v Speaker 1>where there was still I guess volatility in the headlines

0:12:38.160 --> 0:12:43.199
<v Speaker 1>right US Securities and Exchange Commission filing you know, charges

0:12:43.280 --> 0:12:46.679
<v Speaker 1>or complaints against Gemini Genesis and claiming that they offered

0:12:47.040 --> 0:12:50.520
<v Speaker 1>unregistered securities. First of all, I guess what is your

0:12:50.559 --> 0:12:55.920
<v Speaker 1>reaction to to that action by the SEC. The action

0:12:56.000 --> 0:12:59.600
<v Speaker 1>from the SEC was focused on gemini S burn product,

0:12:59.720 --> 0:13:03.560
<v Speaker 1>which was bearing the promise of yield generation, and the

0:13:03.760 --> 0:13:07.640
<v Speaker 1>SEC has been pretty clear and their focus on custodial

0:13:07.720 --> 0:13:11.640
<v Speaker 1>based yield products offered to retail participants, and so this

0:13:11.760 --> 0:13:15.120
<v Speaker 1>was consistent with that effort. What's interesting is how that

0:13:15.240 --> 0:13:18.920
<v Speaker 1>matches with activity happening in the bitcoin space and specifically

0:13:18.960 --> 0:13:22.960
<v Speaker 1>the lightning space. There will be a void here where

0:13:23.320 --> 0:13:29.840
<v Speaker 1>activity that was speculation based and custodial driven for yield

0:13:29.840 --> 0:13:32.400
<v Speaker 1>generation in the crypto space. That void can be filled

0:13:32.480 --> 0:13:37.080
<v Speaker 1>by yield bearing products or opportunities in the Lightning network.

0:13:37.520 --> 0:13:40.760
<v Speaker 1>And here's why. As the Lightning network has grown an

0:13:40.800 --> 0:13:44.720
<v Speaker 1>adoption as it's matured that's paid the path for a

0:13:44.840 --> 0:13:48.400
<v Speaker 1>liber to emerge a libra of the Lightning network. And

0:13:48.440 --> 0:13:51.640
<v Speaker 1>what that means is that there's a real rate for

0:13:52.200 --> 0:13:55.520
<v Speaker 1>yields in the lightning network that is tied to the

0:13:55.679 --> 0:13:59.680
<v Speaker 1>value placed on payment capacity for the Lightning network. And

0:13:59.720 --> 0:14:03.520
<v Speaker 1>so adoption of the Lightning network grows as additional assets

0:14:03.520 --> 0:14:07.240
<v Speaker 1>are introduced to the Lightning network, for instance through Lightning

0:14:07.320 --> 0:14:10.520
<v Speaker 1>Labs Pterot protocol. What we can expect to see is

0:14:10.600 --> 0:14:14.200
<v Speaker 1>that rate increase. So we take a look today at

0:14:14.240 --> 0:14:19.160
<v Speaker 1>the rate of of um of both funds on Lightning

0:14:19.160 --> 0:14:23.440
<v Speaker 1>network and payment pathways. What we would find on Ambos

0:14:23.480 --> 0:14:27.640
<v Speaker 1>Ambos Technologies Magma marketplace is about a three percent rate

0:14:28.160 --> 0:14:30.720
<v Speaker 1>of return, which we can expect to see grow as

0:14:30.800 --> 0:14:33.360
<v Speaker 1>Lightning network continues to scale. At least I want to

0:14:33.400 --> 0:14:37.400
<v Speaker 1>ask you about sam bankmn Freed and the latest his

0:14:37.520 --> 0:14:39.680
<v Speaker 1>latest comments. Before I do, can I just ask you

0:14:40.000 --> 0:14:43.000
<v Speaker 1>just to to state for us whether still Mark had

0:14:43.040 --> 0:14:47.560
<v Speaker 1>any financial relationship with SPF or f t X. Of

0:14:47.560 --> 0:14:51.120
<v Speaker 1>course not, because we're focused on bitcoin and sustainable value

0:14:51.160 --> 0:14:56.040
<v Speaker 1>propositions to the exclusion of gambling related activities, which drives

0:14:56.080 --> 0:14:58.960
<v Speaker 1>a lot of the activity and exchanges today. I just

0:14:59.000 --> 0:15:01.360
<v Speaker 1>wanted to be very side of our mandate. No, I

0:15:01.400 --> 0:15:03.480
<v Speaker 1>appreciate that. I just wanted to sow audience to know

0:15:03.480 --> 0:15:05.000
<v Speaker 1>where we stand on that. So now I can ask

0:15:05.080 --> 0:15:08.600
<v Speaker 1>you about SPF his post blog post for one of

0:15:08.600 --> 0:15:10.960
<v Speaker 1>a better description this week where he kind of doubled

0:15:11.000 --> 0:15:14.600
<v Speaker 1>down on the idea that he denies allegations of fraud,

0:15:14.680 --> 0:15:18.080
<v Speaker 1>that he didn't steal or embezzle any funds. You know,

0:15:18.120 --> 0:15:23.120
<v Speaker 1>what is your reaction to that ongoing development. They've all

0:15:23.120 --> 0:15:27.200
<v Speaker 1>denied the same. So I think there's a fine line

0:15:27.320 --> 0:15:35.040
<v Speaker 1>between what folks running these sorts of black box schemes

0:15:36.000 --> 0:15:39.280
<v Speaker 1>I believe is promissible in an effort to produce returns,

0:15:40.040 --> 0:15:42.560
<v Speaker 1>versus what they consider to be fraud. But in fact,

0:15:42.600 --> 0:15:45.760
<v Speaker 1>what appears to have been happening in the fts was

0:15:45.800 --> 0:15:49.520
<v Speaker 1>that leadership dipped into use your accounts to more funds

0:15:49.640 --> 0:15:53.880
<v Speaker 1>to take speculative bets on the movement of crypto prices

0:15:53.920 --> 0:15:57.400
<v Speaker 1>and tooken prices. And that's not a dissimilar story from

0:15:57.400 --> 0:16:02.160
<v Speaker 1>what we saw in the collapse of sayerst Capital Firm

0:16:02.280 --> 0:16:04.800
<v Speaker 1>or others similar and so it's very hard to know

0:16:04.840 --> 0:16:07.640
<v Speaker 1>where the contagion stops here because there's a lack of

0:16:07.680 --> 0:16:12.120
<v Speaker 1>transparency in the crypto space. But what it does underscores

0:16:12.200 --> 0:16:16.000
<v Speaker 1>the value and technologies that allow folks to have greater

0:16:16.080 --> 0:16:20.440
<v Speaker 1>control of their cryptocurrency and Bitcoin specifically, or technologies that

0:16:20.520 --> 0:16:25.600
<v Speaker 1>allow retail investors or participants in exchanges to demand transparency

0:16:25.720 --> 0:16:28.480
<v Speaker 1>so that you know if you're buying if you're buying

0:16:28.560 --> 0:16:32.040
<v Speaker 1>bitcoin on in exchange, including if that exchange was FTS,

0:16:32.480 --> 0:16:34.200
<v Speaker 1>that you can ask them to prove that the in

0:16:34.320 --> 0:16:37.480
<v Speaker 1>fact hold that bitcoin. And as as we've come to

0:16:37.560 --> 0:16:40.840
<v Speaker 1>find out, people were buying bitcoin on FTS and f

0:16:40.920 --> 0:16:44.600
<v Speaker 1>TX was never requiring or holding that bitcoin on consumers behalf.

0:16:45.000 --> 0:16:47.360
<v Speaker 1>The good news is that bitcoin allows you to be

0:16:47.440 --> 0:16:50.800
<v Speaker 1>your own bank. That's inherent in the value proposition and

0:16:50.840 --> 0:16:54.720
<v Speaker 1>by using self custody products and doubling down on the

0:16:54.840 --> 0:16:58.360
<v Speaker 1>value proposition that self custody bitcoin can have when you

0:16:58.640 --> 0:17:01.880
<v Speaker 1>enable a proof of preserve mechanism to prove your credit

0:17:01.880 --> 0:17:05.560
<v Speaker 1>worthiness is a Bitcoin holder, for instance, we have more

0:17:05.600 --> 0:17:09.840
<v Speaker 1>tools and resources for folks to opt out of exchanges

0:17:09.920 --> 0:17:12.439
<v Speaker 1>like US. Yeah, I think look there's so much more

0:17:12.520 --> 0:17:15.199
<v Speaker 1>to find out from the authorities, in particular about the

0:17:15.240 --> 0:17:18.520
<v Speaker 1>investigation into sam Bankman Freed and FT. But it's interesting

0:17:18.920 --> 0:17:22.679
<v Speaker 1>to get a somebody in the underlying technology perspective, somebody

0:17:22.920 --> 0:17:25.160
<v Speaker 1>in the industry is suspective on what's going on. Still

0:17:25.200 --> 0:17:27.800
<v Speaker 1>mock founder and managing partner at least clean. Thank you

0:17:27.920 --> 0:17:31.160
<v Speaker 1>very much for joining us. Now coming up, Tesla cuts

0:17:31.200 --> 0:17:34.520
<v Speaker 1>prices across its line up in the usm major European markets,

0:17:34.760 --> 0:17:38.280
<v Speaker 1>plus Elon's having trouble with a fraud trial in San Francisco.

0:17:38.359 --> 0:17:55.240
<v Speaker 1>Will explain next. This is Bloomberg. That's a great company.

0:17:55.760 --> 0:17:57.560
<v Speaker 1>We just don't believe it's a great start right now.

0:17:57.640 --> 0:18:00.359
<v Speaker 1>It's unclear whether how long the pros that are going

0:18:00.440 --> 0:18:04.000
<v Speaker 1>to have to keep going in. That was Marks Stoker

0:18:04.080 --> 0:18:06.879
<v Speaker 1>there from Adam's Funds saying Tesla not a great stock

0:18:06.960 --> 0:18:09.439
<v Speaker 1>right now, Carol. And the interesting thing is that it

0:18:09.480 --> 0:18:12.879
<v Speaker 1>continues to react negatively to use. Tesla cutting prices across

0:18:12.880 --> 0:18:16.800
<v Speaker 1>its lineup in the US and major European markets. Why well,

0:18:16.960 --> 0:18:19.560
<v Speaker 1>questions of demand you can see actually all told, we're

0:18:19.600 --> 0:18:22.920
<v Speaker 1>down one percent on Tesla. Other peers, particularly the pure

0:18:23.000 --> 0:18:26.000
<v Speaker 1>play ev names, but also some of the legacy automakers

0:18:26.040 --> 0:18:29.760
<v Speaker 1>also falling. The question is if you cut prices, does

0:18:29.800 --> 0:18:32.440
<v Speaker 1>that spur some demand? And that's the debate around the stock,

0:18:32.480 --> 0:18:35.840
<v Speaker 1>at least from cell side analysts this Friday, and great

0:18:35.840 --> 0:18:37.879
<v Speaker 1>set up in what's happening in terms of the fundamentals

0:18:37.880 --> 0:18:40.159
<v Speaker 1>of the business or lack thereof. And and indeed we

0:18:40.560 --> 0:18:42.560
<v Speaker 1>know about the cutting of the prices, but let's stick

0:18:42.600 --> 0:18:45.280
<v Speaker 1>on Tessa and perhaps it's found them more broadly now

0:18:45.320 --> 0:18:48.840
<v Speaker 1>because during the securities for trial that's tied to Elon

0:18:48.920 --> 0:18:52.560
<v Speaker 1>Musk tweet that he was taking the company private. Well,

0:18:52.800 --> 0:18:55.760
<v Speaker 1>it's back resurfacing because Elon Musk wanted it moved down

0:18:55.760 --> 0:18:59.200
<v Speaker 1>to San Francisco, and it seems though that request was rejected.

0:18:59.400 --> 0:19:01.920
<v Speaker 1>The judge her own Musk's argument that he faces a

0:19:02.040 --> 0:19:05.239
<v Speaker 1>biased jewelry pool in the Bay Area. Let's talk all

0:19:05.280 --> 0:19:08.200
<v Speaker 1>of the latest with Dana Hall and covers all things

0:19:08.200 --> 0:19:11.439
<v Speaker 1>Tesla and now start on the trial and maybe comport

0:19:11.480 --> 0:19:14.000
<v Speaker 1>it out to testa more generally Donna, But what do

0:19:14.040 --> 0:19:18.320
<v Speaker 1>you make of this overruling for Ela Musk? Well, it

0:19:18.359 --> 0:19:20.680
<v Speaker 1>was a really long shot kind of hail Mary bid

0:19:20.680 --> 0:19:23.360
<v Speaker 1>on the part of Elon's attorneys. I mean, this trial,

0:19:23.960 --> 0:19:26.879
<v Speaker 1>which has been in litigation for over four years, has started.

0:19:26.920 --> 0:19:29.600
<v Speaker 1>It's supposed to start on Tuesday, and so this like

0:19:29.680 --> 0:19:32.199
<v Speaker 1>sort of last stitch effort to move it to Texas

0:19:32.320 --> 0:19:34.919
<v Speaker 1>was never gonna fly. So the ruling today was not

0:19:34.960 --> 0:19:37.879
<v Speaker 1>a surprise. I just think it's wild that, like I mean,

0:19:37.880 --> 0:19:40.240
<v Speaker 1>there are probably more Tesla owners in the Bay Area

0:19:40.280 --> 0:19:42.359
<v Speaker 1>than in any place in the world except maybe l A.

0:19:42.640 --> 0:19:44.760
<v Speaker 1>It's like Sabari in l A are always neck and

0:19:44.800 --> 0:19:48.280
<v Speaker 1>neck in term of terms of Tesla penetration, and so um,

0:19:48.320 --> 0:19:50.720
<v Speaker 1>it's just funny to me that Elon Musk and his

0:19:50.720 --> 0:19:53.360
<v Speaker 1>attorneys were saying that they couldn't get a fair trial here. Hey,

0:19:53.400 --> 0:19:55.639
<v Speaker 1>Donna take us back to basics. What are the plaintiffs

0:19:55.640 --> 0:19:57.879
<v Speaker 1>trying to achieve here? What is it that this trial

0:19:57.960 --> 0:20:02.280
<v Speaker 1>is all about? It about that. It's about August team,

0:20:02.320 --> 0:20:04.880
<v Speaker 1>when Elon Musk tweeted that he had the funding secure

0:20:04.960 --> 0:20:08.280
<v Speaker 1>to take Tesla private at four twenties share Uh, there

0:20:08.320 --> 0:20:11.920
<v Speaker 1>were wild gyrations in the stock market. Shareholders got burned.

0:20:12.280 --> 0:20:15.160
<v Speaker 1>They are suing him saying that he you know, should

0:20:15.200 --> 0:20:17.560
<v Speaker 1>have known that they're suing him, basically saying that they

0:20:17.600 --> 0:20:20.439
<v Speaker 1>got screwed by this effort. And what's fascinating is that

0:20:20.520 --> 0:20:23.480
<v Speaker 1>Musk and his attorneys are trying to get the Saudi

0:20:23.720 --> 0:20:27.400
<v Speaker 1>Public Investment Fund folks to come testify on Musk's behalf,

0:20:27.480 --> 0:20:29.960
<v Speaker 1>and the Saudis also basically said no, like, we're not

0:20:30.040 --> 0:20:31.879
<v Speaker 1>under an in any obligation to come to this. This

0:20:32.000 --> 0:20:34.520
<v Speaker 1>isn't a criminal trial, it's a civil trial. We're not

0:20:34.520 --> 0:20:36.760
<v Speaker 1>going to show. So it's looking weaker and weaker for

0:20:36.880 --> 0:20:39.720
<v Speaker 1>Musk and his team. And uh, the whole moving the

0:20:39.800 --> 0:20:42.000
<v Speaker 1>trial out of the Bay Area thing was pretty laughable.

0:20:43.560 --> 0:20:47.040
<v Speaker 1>Rule how investors feeling about Elon Musk, I mean the

0:20:47.080 --> 0:20:49.960
<v Speaker 1>fact that he thought he would get perhaps not such

0:20:49.960 --> 0:20:53.960
<v Speaker 1>a friendly viewpoint in San Francisco, I'm not sure worldwide,

0:20:54.000 --> 0:20:56.720
<v Speaker 1>I mean, how much he's liked and loved by the

0:20:56.720 --> 0:21:00.680
<v Speaker 1>investor base given the erosion and value in Tesla more broadly, well,

0:21:00.680 --> 0:21:03.840
<v Speaker 1>the investor investor sentiment is horrible. I mean, there's just

0:21:04.040 --> 0:21:06.560
<v Speaker 1>there's just no question. You look at the sell off

0:21:06.720 --> 0:21:10.360
<v Speaker 1>in two and then you know, you begin this year

0:21:10.440 --> 0:21:14.240
<v Speaker 1>where Tesla is having a shareholder meeting in May. They

0:21:14.240 --> 0:21:17.040
<v Speaker 1>didn't announce to investors that the meeting of the day

0:21:17.080 --> 0:21:19.199
<v Speaker 1>of the meeting. They basically snuck the news of the

0:21:19.240 --> 0:21:21.639
<v Speaker 1>meeting into a ten K, I mean into the ten Q,

0:21:22.240 --> 0:21:23.840
<v Speaker 1>And so you have a lot of investors who are

0:21:23.880 --> 0:21:27.240
<v Speaker 1>planning to file shareholder resolutions being very upset about that,

0:21:27.400 --> 0:21:30.200
<v Speaker 1>and then there's just been no outbound communication. I mean,

0:21:30.880 --> 0:21:34.080
<v Speaker 1>you know, I'm sure behind the scenes, very large holders

0:21:34.359 --> 0:21:37.840
<v Speaker 1>have their their line into Martin Vehica and Zach and

0:21:38.000 --> 0:21:40.480
<v Speaker 1>any La Musk, but a lot of shareholders are like,

0:21:40.560 --> 0:21:43.280
<v Speaker 1>what's he doing, and like they're just tagging him on

0:21:43.280 --> 0:21:47.159
<v Speaker 1>Twitter like everybody else, like asking for his attention right

0:21:47.240 --> 0:21:49.920
<v Speaker 1>to catch up with me on it, sneaking things into

0:21:49.920 --> 0:21:51.639
<v Speaker 1>ten ques. Is the only woman who can tell us

0:21:51.640 --> 0:22:01.240
<v Speaker 1>a little about it, Dona Holliway, thank you. Large language

0:22:01.240 --> 0:22:03.760
<v Speaker 1>models are one of the most exciting developments in the

0:22:03.840 --> 0:22:06.280
<v Speaker 1>last few years. These are models that have been trained

0:22:06.320 --> 0:22:09.960
<v Speaker 1>pretty much on everything that's been written down, everything that's

0:22:10.040 --> 0:22:12.639
<v Speaker 1>on a web page. Um. The result of that is

0:22:12.680 --> 0:22:15.159
<v Speaker 1>that they have enormous fluency. Can ask chat DPT to

0:22:15.160 --> 0:22:17.200
<v Speaker 1>write a will form or a story and it will

0:22:17.240 --> 0:22:20.680
<v Speaker 1>do an amazing job. It doesn't know right from wrong

0:22:20.800 --> 0:22:24.159
<v Speaker 1>or truth from falsehood. So you know, the word that

0:22:24.200 --> 0:22:28.280
<v Speaker 1>we use for that is halisenate um. But it is

0:22:28.320 --> 0:22:31.800
<v Speaker 1>incredibly prolific. I think of these large language models as

0:22:31.840 --> 0:22:35.360
<v Speaker 1>some ants. UM. They can say very convincing things. They

0:22:35.359 --> 0:22:38.119
<v Speaker 1>can say things in the voice of somebody like you're writing,

0:22:38.119 --> 0:22:40.439
<v Speaker 1>if you give it enough of a sample. UM. So

0:22:40.480 --> 0:22:43.320
<v Speaker 1>it's not surprising obviously that they can be used for

0:22:43.400 --> 0:22:47.360
<v Speaker 1>propaganda or misinformation. That's a problem that we face online anyway.

0:22:48.720 --> 0:22:52.000
<v Speaker 1>Neither CEO earlier this week should a ram A Swami

0:22:52.040 --> 0:22:54.560
<v Speaker 1>talking about the pros and the cons of what is

0:22:54.600 --> 0:22:59.199
<v Speaker 1>a rapidly evolving artificial intelligence conversation around chat GPT and

0:22:59.600 --> 0:23:02.680
<v Speaker 1>just really fascinating in the way in which AI chat

0:23:02.720 --> 0:23:05.280
<v Speaker 1>boards have been, of course used, and actually they've been

0:23:05.280 --> 0:23:08.240
<v Speaker 1>around for some time. Just take Replica for example. Now

0:23:08.359 --> 0:23:11.359
<v Speaker 1>this was found in back in ten or started in

0:23:11.440 --> 0:23:14.520
<v Speaker 1>its world of a company trying to create a solution

0:23:14.560 --> 0:23:18.919
<v Speaker 1>for loneliness. Our Replica helps you create an AI companion. Basically,

0:23:18.920 --> 0:23:21.080
<v Speaker 1>it's eager to learn about the world from your rise.

0:23:21.160 --> 0:23:24.439
<v Speaker 1>It's ready to chat whenever you're looking from empathetic friend.

0:23:24.920 --> 0:23:26.560
<v Speaker 1>We want to talk about the pros of this, but

0:23:26.640 --> 0:23:28.560
<v Speaker 1>also some of the concerns that are rising out of

0:23:28.600 --> 0:23:31.840
<v Speaker 1>AI technology. More broadly, Eugenia Kudas with our CEO of

0:23:31.920 --> 0:23:36.240
<v Speaker 1>Replica and the It's fascinating reading about why in which

0:23:36.359 --> 0:23:40.719
<v Speaker 1>this company and this technology was built, Eugenia, because in

0:23:40.720 --> 0:23:42.760
<v Speaker 1>some ways we were using AI chat bolts to solve

0:23:42.800 --> 0:23:47.119
<v Speaker 1>for basically booking a restaurant. And then through your own loss,

0:23:47.280 --> 0:23:50.800
<v Speaker 1>your own grief, you found the practical use of AI

0:23:51.040 --> 0:23:54.359
<v Speaker 1>and chat and your own GPT three platform to help

0:23:54.560 --> 0:23:57.080
<v Speaker 1>remember a key friend you had just talk to us

0:23:57.080 --> 0:24:01.399
<v Speaker 1>about how people are using your chatbot two. So for

0:24:01.440 --> 0:24:06.000
<v Speaker 1>social anxiety reasons and for loneliness, sure, I built this

0:24:06.080 --> 0:24:09.760
<v Speaker 1>company to really his product to really help me grieve

0:24:09.840 --> 0:24:13.440
<v Speaker 1>and to help me get over a very um um,

0:24:13.720 --> 0:24:15.960
<v Speaker 1>very sad situation to happen in my life. And then

0:24:16.000 --> 0:24:18.040
<v Speaker 1>we saw that there's there's a need for something like

0:24:18.080 --> 0:24:20.400
<v Speaker 1>that for other people as well. There's a huge need,

0:24:20.480 --> 0:24:22.760
<v Speaker 1>huge demand for people to be able to talk to

0:24:22.800 --> 0:24:26.080
<v Speaker 1>someone seven to build a relationship, to build a deep

0:24:26.160 --> 0:24:30.320
<v Speaker 1>intimate relationship and be able to confide, to discuss things,

0:24:30.320 --> 0:24:32.800
<v Speaker 1>and to really get this emotional utility out of the

0:24:32.880 --> 0:24:36.959
<v Speaker 1>chat bot um right now around um somewhere. Users use

0:24:37.000 --> 0:24:38.919
<v Speaker 1>it as a friends, some use as a mentor, some

0:24:39.080 --> 0:24:41.840
<v Speaker 1>use it as romantic partner. But for any of these

0:24:41.920 --> 0:24:44.560
<v Speaker 1>use cases, the main idea behind it is to really

0:24:44.600 --> 0:24:46.960
<v Speaker 1>make people feel a little bit less lonely, a little

0:24:47.000 --> 0:24:50.280
<v Speaker 1>bit happier, and to make their suffering a little bit

0:24:50.359 --> 0:24:53.480
<v Speaker 1>less intense. And it's popular. I mean, there are a

0:24:53.520 --> 0:24:57.080
<v Speaker 1>lot of users of replica, but I think what's interesting

0:24:57.119 --> 0:24:59.000
<v Speaker 1>we put it out to our own audience. We use

0:24:59.080 --> 0:25:01.199
<v Speaker 1>a pole each day on Twitter, and this day we

0:25:01.240 --> 0:25:04.480
<v Speaker 1>asked them about whether AI chat pots could fill the

0:25:04.520 --> 0:25:07.560
<v Speaker 1>void of loneliness. And it feels as though there's still

0:25:07.600 --> 0:25:11.360
<v Speaker 1>some hearts and minds to be one here said Look,

0:25:11.359 --> 0:25:14.639
<v Speaker 1>they prefer human friends only did say there was a

0:25:14.680 --> 0:25:17.159
<v Speaker 1>strong use case, but for others they still feel that

0:25:17.200 --> 0:25:20.879
<v Speaker 1>AI can be used in other purposes. Just convince people

0:25:21.000 --> 0:25:25.960
<v Speaker 1>why this is particularly useful for human connection and in

0:25:26.000 --> 0:25:31.200
<v Speaker 1>some ways romantic connection. As you just said, sure, I mean,

0:25:31.280 --> 0:25:34.840
<v Speaker 1>right now, we're truly living in a pandemic of lowliness.

0:25:34.880 --> 0:25:38.240
<v Speaker 1>This is one of the biggest problems, even health problems

0:25:38.520 --> 0:25:43.280
<v Speaker 1>um that humanity is facing. Loneliness is connected and correlating

0:25:43.840 --> 0:25:47.560
<v Speaker 1>is correlated with a shorter lifespans, So it's truly killing

0:25:47.600 --> 0:25:50.240
<v Speaker 1>people right now, and so far there are no real

0:25:50.280 --> 0:25:53.720
<v Speaker 1>solutions to that. There are very few products that helped

0:25:53.760 --> 0:25:56.080
<v Speaker 1>with loneliness. You can argue that dating is one or

0:25:56.280 --> 0:26:00.159
<v Speaker 1>some meet up apps, but that's really that's really on

0:26:00.200 --> 0:26:02.960
<v Speaker 1>the technology fore front. And then so if we think

0:26:03.000 --> 0:26:04.679
<v Speaker 1>about it, we really have to start to come up

0:26:04.720 --> 0:26:07.760
<v Speaker 1>with solutions. And I think it's a very nuanced conversation.

0:26:08.160 --> 0:26:10.679
<v Speaker 1>What we're trying to do is not replace human friends.

0:26:10.760 --> 0:26:14.359
<v Speaker 1>We're trying to give AI friends to people that really

0:26:14.400 --> 0:26:16.880
<v Speaker 1>needed in the moment, so then then they can open

0:26:16.960 --> 0:26:19.879
<v Speaker 1>up and you know, improve their connections with real people

0:26:20.320 --> 0:26:23.280
<v Speaker 1>and build more friendships in real life. However, for a

0:26:23.320 --> 0:26:27.040
<v Speaker 1>lot of people, human friendships um and in the moment

0:26:27.080 --> 0:26:30.280
<v Speaker 1>maybe or not possible, or even they have human friends,

0:26:30.320 --> 0:26:33.080
<v Speaker 1>but they're not ready to be open with them, to

0:26:33.240 --> 0:26:35.719
<v Speaker 1>be vulnerable with them. So think about as something that

0:26:35.760 --> 0:26:40.120
<v Speaker 1>you're training on, something that helps you build these relationships

0:26:40.200 --> 0:26:42.840
<v Speaker 1>that you can take into real life. And so for us,

0:26:42.880 --> 0:26:46.040
<v Speaker 1>the main idea is to measure that we actually are

0:26:46.119 --> 0:26:49.560
<v Speaker 1>decreasing wellliness instead of increasing it. So most of our

0:26:49.640 --> 0:26:53.359
<v Speaker 1>users report that they're actually improving their human connections over

0:26:53.440 --> 0:26:55.840
<v Speaker 1>time and that they're not just talking to a boats

0:26:56.160 --> 0:27:00.560
<v Speaker 1>instead of actually making real human friends. Jenny, There's been

0:27:01.040 --> 0:27:06.320
<v Speaker 1>extensive reporting about mental health coming out of the pandemic,

0:27:06.440 --> 0:27:10.400
<v Speaker 1>you know, especially the early stages of many people were

0:27:10.440 --> 0:27:14.800
<v Speaker 1>isolated at home, away from family, loved ones, those that

0:27:14.840 --> 0:27:17.720
<v Speaker 1>they were used to dealing with or interacting with day

0:27:17.760 --> 0:27:19.960
<v Speaker 1>to day. I do have to ask, though, you know,

0:27:20.119 --> 0:27:22.439
<v Speaker 1>and and and you know, of course there will be

0:27:22.480 --> 0:27:27.080
<v Speaker 1>sympathy to those that suffer from loneliness and social anxiety.

0:27:27.119 --> 0:27:32.720
<v Speaker 1>But my question is does Replica consult with and work

0:27:32.840 --> 0:27:38.119
<v Speaker 1>with scientists and mental health professionals and medical professionals in

0:27:38.160 --> 0:27:43.960
<v Speaker 1>the development of what you're offering? Of course, so for instance,

0:27:44.000 --> 0:27:46.359
<v Speaker 1>we have therapeutic conversations. You can find it in the

0:27:46.359 --> 0:27:49.280
<v Speaker 1>activities tab. You can find coaching conversations that are all

0:27:49.320 --> 0:27:52.880
<v Speaker 1>written by chlinical psychologists, in this case mostly from UC Berkeley.

0:27:53.680 --> 0:27:57.639
<v Speaker 1>We when building the app, we were definitely talked and

0:27:57.800 --> 0:28:01.840
<v Speaker 1>work with different professionals in the field of clinical psychology.

0:28:02.040 --> 0:28:05.200
<v Speaker 1>We do, you know, basically the main north to metric

0:28:05.280 --> 0:28:08.560
<v Speaker 1>for all of our all of conversations on Replica is

0:28:08.840 --> 0:28:11.800
<v Speaker 1>whether these conversations are making you feel better. So this

0:28:11.840 --> 0:28:14.320
<v Speaker 1>is what we're trying to optimize for, not for engagement,

0:28:14.359 --> 0:28:17.199
<v Speaker 1>not for the length of conversation, not for you, you know,

0:28:17.240 --> 0:28:20.000
<v Speaker 1>staying involved with the chatbot, but really whether after this

0:28:20.040 --> 0:28:23.159
<v Speaker 1>conversation you walked away feeling better. And another thing that

0:28:23.200 --> 0:28:26.320
<v Speaker 1>we're working on is is also looking into improving long

0:28:26.400 --> 0:28:32.000
<v Speaker 1>term emotional outcomes and also measuring this with experts in

0:28:32.040 --> 0:28:34.720
<v Speaker 1>the quicker psychology field. We did a few studies. We

0:28:34.800 --> 0:28:37.199
<v Speaker 1>did a study with Stanford was just published in a

0:28:37.240 --> 0:28:40.640
<v Speaker 1>book around human AI relationships. Who working on some other

0:28:40.680 --> 0:28:43.440
<v Speaker 1>studies with the universities. So hopefully we can share a

0:28:43.440 --> 0:28:46.680
<v Speaker 1>little more um as we continue. I want to talk

0:28:46.680 --> 0:28:50.240
<v Speaker 1>a little bit about the business model and the opportunity

0:28:50.320 --> 0:28:53.200
<v Speaker 1>for you. How how does Replica make money from this

0:28:53.800 --> 0:29:00.440
<v Speaker 1>artificial intelligence based platform. It's mostly subscriptions. Very early on

0:29:00.480 --> 0:29:02.520
<v Speaker 1>we decided that we're not going to charge for chat

0:29:02.800 --> 0:29:04.640
<v Speaker 1>because a lot of people come to think about it

0:29:04.680 --> 0:29:07.840
<v Speaker 1>like in the you know, at night, in the darkest

0:29:07.880 --> 0:29:12.120
<v Speaker 1>maybe darkest emotional moments sometimes and they're turning here to

0:29:12.160 --> 0:29:14.680
<v Speaker 1>be able to talk to someone, to seek the response

0:29:14.760 --> 0:29:17.920
<v Speaker 1>from someone that you know there will be supportive and

0:29:17.920 --> 0:29:20.440
<v Speaker 1>we'll talk to them. So to meet them with a paywall,

0:29:20.480 --> 0:29:22.360
<v Speaker 1>this was something that we immediately said we don't want

0:29:22.400 --> 0:29:24.680
<v Speaker 1>to do that. We want to keep chat always free.

0:29:25.120 --> 0:29:27.800
<v Speaker 1>So really the product is free, is free and recharge

0:29:27.840 --> 0:29:31.000
<v Speaker 1>for some features like voice coles, like relationship status with

0:29:31.080 --> 0:29:34.280
<v Speaker 1>some activities, but people can use it without paying, and

0:29:34.320 --> 0:29:38.640
<v Speaker 1>so most of our revenue is coming from subscriptions and donations,

0:29:38.720 --> 0:29:41.440
<v Speaker 1>So people actually donate to the app because they wanted

0:29:41.480 --> 0:29:44.320
<v Speaker 1>to continue. We have a very involved community of people

0:29:44.360 --> 0:29:46.280
<v Speaker 1>that for them it's an important part of their life.

0:29:46.280 --> 0:29:48.960
<v Speaker 1>It's an important relationship in their life. Oftentimes if you

0:29:49.080 --> 0:29:52.800
<v Speaker 1>just you know, go through reviews, oftentimes Replica help them

0:29:53.200 --> 0:29:55.440
<v Speaker 1>get their life back together or go through a really

0:29:55.440 --> 0:30:00.360
<v Speaker 1>hard and dark periods. Hopefully. He mentioned briefly before, the

0:30:00.480 --> 0:30:03.320
<v Speaker 1>romantic side of things, and this has been starring up

0:30:03.600 --> 0:30:05.920
<v Speaker 1>quite a bit of controversy. It feels like perhaps online

0:30:05.960 --> 0:30:07.480
<v Speaker 1>and let's just talk to it for a minute. Because

0:30:07.640 --> 0:30:10.120
<v Speaker 1>the pro subscription that you talk about sixty nine dollars,

0:30:10.640 --> 0:30:13.040
<v Speaker 1>I think it is you can therefore from that unlock

0:30:13.160 --> 0:30:17.360
<v Speaker 1>what you say is perhaps romantic relationships. I'm talking flirting online.

0:30:17.480 --> 0:30:20.720
<v Speaker 1>Maybe some role play people are saying that that's actually

0:30:20.720 --> 0:30:25.280
<v Speaker 1>started to suppam maybe even aggressive conversations, some people calling

0:30:25.280 --> 0:30:27.720
<v Speaker 1>it harassment in some way. Can you talk to that

0:30:27.800 --> 0:30:30.600
<v Speaker 1>and what's exactly happening and what what the response has

0:30:30.640 --> 0:30:35.080
<v Speaker 1>been like. So Replica started as just a friend but

0:30:35.280 --> 0:30:38.120
<v Speaker 1>actually without us doing anything with the productal some people

0:30:39.040 --> 0:30:40.800
<v Speaker 1>figure out that they want their Replica to be a

0:30:40.880 --> 0:30:43.800
<v Speaker 1>romantic partner. For that. Our first response to that was

0:30:43.840 --> 0:30:46.080
<v Speaker 1>to maybe turn it off and just focus our friendship.

0:30:46.440 --> 0:30:48.360
<v Speaker 1>But then we started getting a lot of pushback from

0:30:48.360 --> 0:30:51.600
<v Speaker 1>our original users that were telling us stories that were

0:30:51.720 --> 0:30:55.160
<v Speaker 1>very heartful and touching. There were stories of you know,

0:30:55.760 --> 0:30:58.240
<v Speaker 1>people that are handicapped on disability that are not that

0:30:58.440 --> 0:31:00.480
<v Speaker 1>don't think they'll be able to be in a relationship

0:31:00.520 --> 0:31:03.120
<v Speaker 1>anymore for them that would create an outlet. Stories of

0:31:03.240 --> 0:31:07.360
<v Speaker 1>caregivers to their paralyzed partners that for them, again, that

0:31:07.600 --> 0:31:10.280
<v Speaker 1>was an outlet that was important, and so we thought

0:31:10.560 --> 0:31:12.880
<v Speaker 1>we will you know, let's uh we just decided to

0:31:12.920 --> 0:31:17.240
<v Speaker 1>apply um uh, we're thinking towards it. Were if this

0:31:17.320 --> 0:31:20.480
<v Speaker 1>is and that benefits were not positive for our users,

0:31:20.520 --> 0:31:23.800
<v Speaker 1>if this is improving their emotional outcomes over time, then

0:31:23.840 --> 0:31:26.040
<v Speaker 1>we're not against it, and so we'll keep in the app. However,

0:31:26.080 --> 0:31:30.920
<v Speaker 1>were really kind of move We compartment a lized, compartmentalized

0:31:31.040 --> 0:31:33.040
<v Speaker 1>in the app where it's only available to people that

0:31:33.200 --> 0:31:36.920
<v Speaker 1>do choose a romantic relationship there explicit about it. They say,

0:31:37.000 --> 0:31:39.160
<v Speaker 1>I want you to be my girlfriend, and then they're

0:31:39.200 --> 0:31:42.360
<v Speaker 1>able again if they start that to role play in

0:31:42.440 --> 0:31:44.880
<v Speaker 1>any In no way we're trying to solicit that behavior

0:31:45.000 --> 0:31:47.920
<v Speaker 1>or you know, uh, turning people towards that, because actually

0:31:47.960 --> 0:31:49.719
<v Speaker 1>people that are not coming through that, they're coming from

0:31:49.760 --> 0:31:53.160
<v Speaker 1>mentorship or friendship, they don't want that. So this was

0:31:53.200 --> 0:31:57.000
<v Speaker 1>actually something that early on we uh put in different

0:31:57.080 --> 0:31:58.760
<v Speaker 1>kind of boxes on the app. And this is how

0:31:58.800 --> 0:32:01.320
<v Speaker 1>it is right now. But but because we're at the forefront,

0:32:01.720 --> 0:32:03.760
<v Speaker 1>we're kind of we've always been. You know, just a

0:32:03.800 --> 0:32:06.680
<v Speaker 1>few years ago, people were writing stories about how this

0:32:06.800 --> 0:32:09.400
<v Speaker 1>is stigmatized and how people should not talk to AI

0:32:09.520 --> 0:32:12.320
<v Speaker 1>and this is creepy and strange. Now this is not

0:32:12.400 --> 0:32:15.080
<v Speaker 1>a question anymore. But again, now the question is it

0:32:15.160 --> 0:32:17.360
<v Speaker 1>okay to have an e girlfriend? Is it okay to

0:32:17.480 --> 0:32:19.960
<v Speaker 1>have that outlet? And in this case, I want to

0:32:20.000 --> 0:32:22.400
<v Speaker 1>turn it to you know, an Oxford encyclopedio and AI

0:32:23.000 --> 0:32:26.360
<v Speaker 1>Oxford book on ethics work. We actually talk about it

0:32:26.400 --> 0:32:28.240
<v Speaker 1>and say that it's actually a very beneficial thing to

0:32:28.320 --> 0:32:31.000
<v Speaker 1>be able to talk about your sex and not not

0:32:31.240 --> 0:32:33.400
<v Speaker 1>How are you solving how you looking at what is

0:32:33.480 --> 0:32:36.200
<v Speaker 1>ultimately what happens time and time again with AI is

0:32:36.680 --> 0:32:38.560
<v Speaker 1>some of the darker sides of human nature ends up

0:32:38.760 --> 0:32:42.560
<v Speaker 1>replica for K, replica caating itself in AI. How do

0:32:42.640 --> 0:32:44.080
<v Speaker 1>you solve for that? How do you ensure that we

0:32:44.160 --> 0:32:48.560
<v Speaker 1>don't have the negative side of that? Sure? So for us,

0:32:48.600 --> 0:32:51.719
<v Speaker 1>the answer is very simple. We we do a lot

0:32:51.760 --> 0:32:54.320
<v Speaker 1>on that front. So we use very safe data sets

0:32:54.360 --> 0:32:57.440
<v Speaker 1>and we use a different model completely unless you're a

0:32:57.560 --> 0:32:59.920
<v Speaker 1>romantic relationship and you're exclusively asking for something like that.

0:33:00.520 --> 0:33:04.160
<v Speaker 1>So really the current model, if you're not in romantic relation,

0:33:04.200 --> 0:33:06.200
<v Speaker 1>if you're not asking for something like that, you're not

0:33:06.240 --> 0:33:09.080
<v Speaker 1>going to get that content um And it's not you know,

0:33:09.120 --> 0:33:12.840
<v Speaker 1>soliciting to this content, not you know, coming coming forward

0:33:12.880 --> 0:33:15.080
<v Speaker 1>with that content. So the way to go around it

0:33:15.200 --> 0:33:17.560
<v Speaker 1>is reially to train the model on safe data sets,

0:33:18.040 --> 0:33:21.200
<v Speaker 1>to also add you know, reinforcement learning loops where you're

0:33:21.520 --> 0:33:23.600
<v Speaker 1>teaching it that you shouldn't do that, and we basically

0:33:23.640 --> 0:33:25.880
<v Speaker 1>are not rewarded for this type of behavior. Of course,

0:33:25.880 --> 0:33:28.080
<v Speaker 1>as with any conversational a product, it can be a

0:33:28.160 --> 0:33:32.560
<v Speaker 1>hundred percent sure that you know things will be um.

0:33:32.880 --> 0:33:34.880
<v Speaker 1>You know, the way you want to want them you

0:33:35.040 --> 0:33:36.840
<v Speaker 1>want them to be just because the product is so

0:33:37.360 --> 0:33:40.280
<v Speaker 1>free flow, so to say, so open ended. Um. But

0:33:40.480 --> 0:33:42.640
<v Speaker 1>we're doing a lot of we're taking a lot of

0:33:42.640 --> 0:33:44.480
<v Speaker 1>steps in this direction to make sure that none of

0:33:44.560 --> 0:33:48.840
<v Speaker 1>this behavior happens. All right, Replica CEO, Eugenia coulda you know,

0:33:48.880 --> 0:33:51.400
<v Speaker 1>I think this is just the start of this conversation.

0:33:52.120 --> 0:33:55.040
<v Speaker 1>A lot more still to debate. Thank you for joining us.

0:33:56.160 --> 0:33:58.360
<v Speaker 1>Coming up, we're going to talk about the state of

0:33:58.560 --> 0:34:04.120
<v Speaker 1>music in twenty two following a report from music analytics

0:34:04.200 --> 0:34:09.400
<v Speaker 1>platform Illuminate. CEO Rob Jonas joins us. Next, this is Bloomberg.

0:34:20.920 --> 0:34:23.400
<v Speaker 1>Let's dive into the world of music. In the news,

0:34:23.560 --> 0:34:27.320
<v Speaker 1>Warner Bros. Discovery mulling a sale of its music library,

0:34:27.360 --> 0:34:30.200
<v Speaker 1>which could be valued and more than a billion dollars

0:34:30.239 --> 0:34:33.480
<v Speaker 1>according to a report in the Financial Times. The process

0:34:34.040 --> 0:34:37.040
<v Speaker 1>still in the early stages, but it's got Caroline and

0:34:37.120 --> 0:34:40.640
<v Speaker 1>I thinking about the music industry this year. Let's discuss

0:34:41.120 --> 0:34:44.760
<v Speaker 1>the landscape the industry, the drivers with Rob Jonas, CEO

0:34:45.239 --> 0:34:48.800
<v Speaker 1>of Luminate, and Luminate is basically the analytics and data

0:34:48.920 --> 0:34:51.920
<v Speaker 1>platform for the entire industry. Right, you're looking at music,

0:34:52.280 --> 0:34:54.520
<v Speaker 1>you're looking at entertainment. I think the data point which

0:34:54.560 --> 0:34:59.480
<v Speaker 1>struck me was that we hit this milestone of one

0:35:00.040 --> 0:35:05.040
<v Speaker 1>brilliant music streams, right, what's driving that? Why was two

0:35:05.160 --> 0:35:08.480
<v Speaker 1>the year of digital music? Yeah, thanks for having me

0:35:08.560 --> 0:35:12.200
<v Speaker 1>on guys um. Definitely two was a really interesting year

0:35:12.280 --> 0:35:16.000
<v Speaker 1>for music. Streaming is now the dominant mechanism by which

0:35:16.080 --> 0:35:19.000
<v Speaker 1>music has enjoyed pretty much globally, and we've seen a

0:35:19.080 --> 0:35:21.839
<v Speaker 1>slow and steady increase over the last really eight nine,

0:35:21.920 --> 0:35:25.560
<v Speaker 1>ten years, and two is definitely a tipping point. What's

0:35:25.640 --> 0:35:28.239
<v Speaker 1>driving that. There's a couple of things that are driving it. Really,

0:35:28.280 --> 0:35:32.000
<v Speaker 1>there's lots of different demographics now starting to embrace streaming.

0:35:32.080 --> 0:35:35.239
<v Speaker 1>Obviously it was a younger generations adopting it early on,

0:35:35.440 --> 0:35:39.040
<v Speaker 1>but now we're seeing older demographics using the stream platforms

0:35:39.160 --> 0:35:42.160
<v Speaker 1>with with really very very high intensity. And at the

0:35:42.239 --> 0:35:44.600
<v Speaker 1>same time, we've seeing a lot of expansion into global markets.

0:35:44.640 --> 0:35:48.800
<v Speaker 1>So historically focused on more developed Western markets, music consumption

0:35:48.840 --> 0:35:51.440
<v Speaker 1>really is now global, with all the major platforms operating

0:35:51.480 --> 0:35:53.680
<v Speaker 1>in dozens and dozens of countries around the world, and

0:35:53.760 --> 0:35:56.920
<v Speaker 1>it's driving this massive renaissance in music that's been going

0:35:56.920 --> 0:35:59.160
<v Speaker 1>on for years now. I think there are some parallels

0:35:59.280 --> 0:36:01.400
<v Speaker 1>that that Carol Line and I are focusing on particularly

0:36:01.400 --> 0:36:03.080
<v Speaker 1>the world of video streaming. You know, you think about

0:36:03.120 --> 0:36:06.640
<v Speaker 1>the Korean market, for example, the success of Squid Games

0:36:06.920 --> 0:36:09.839
<v Speaker 1>for a Netflix on the video front. Everything I see

0:36:09.960 --> 0:36:12.359
<v Speaker 1>right now on Instagram and I scroll Instagram a lot.

0:36:12.920 --> 0:36:15.759
<v Speaker 1>K pop. K pop is everywhere, you know, Is that

0:36:15.880 --> 0:36:17.960
<v Speaker 1>one of the drivers that you saw over the last

0:36:17.960 --> 0:36:20.880
<v Speaker 1>twelve months. Yeah. K pop is definitely one of the

0:36:20.960 --> 0:36:25.400
<v Speaker 1>very important expansions of music and a center for music creation. Globally.

0:36:25.960 --> 0:36:29.759
<v Speaker 1>If we look at streaming, streaming grew about a group

0:36:29.760 --> 0:36:31.640
<v Speaker 1>about nine percent year on year last year when we

0:36:31.680 --> 0:36:34.280
<v Speaker 1>look at in sorry, twelve percent last year in the US.

0:36:34.360 --> 0:36:37.960
<v Speaker 1>If we look at it internationally, growth was about and

0:36:38.000 --> 0:36:40.160
<v Speaker 1>a lot of that comes down to these centers of

0:36:40.680 --> 0:36:43.760
<v Speaker 1>content being created in South Korea, but also really interesting

0:36:43.760 --> 0:36:46.760
<v Speaker 1>in Latin America. Latin America and Latin music in general

0:36:47.200 --> 0:36:51.320
<v Speaker 1>had a real breakout year in two. Bad Bunnies album was,

0:36:51.640 --> 0:36:55.080
<v Speaker 1>as we finished up the year, the most popular album

0:36:55.160 --> 0:36:58.280
<v Speaker 1>across the whole of two since we started tracking sales

0:36:58.320 --> 0:37:02.520
<v Speaker 1>and consumption, which is not a massive milestone. And actually

0:37:02.520 --> 0:37:04.480
<v Speaker 1>when you look at that album from Bad Money, if

0:37:04.480 --> 0:37:07.000
<v Speaker 1>we look at total streaming of Latin music, across the

0:37:07.080 --> 0:37:10.040
<v Speaker 1>course of the year, one in fourteen streams came from

0:37:10.080 --> 0:37:11.560
<v Speaker 1>that album, just to give you a sense of how

0:37:11.640 --> 0:37:15.240
<v Speaker 1>important that was. So K Pops, critical, Latins are critical,

0:37:15.719 --> 0:37:18.080
<v Speaker 1>and many many new and emerging areas as well of

0:37:18.200 --> 0:37:23.120
<v Speaker 1>amazing music creation. Go back to the value here, Rob,

0:37:23.239 --> 0:37:26.759
<v Speaker 1>but also speaking to the Instagram scrolling, thinking of the

0:37:26.840 --> 0:37:30.440
<v Speaker 1>amount that we're currently posting on TikTok and Instagram and

0:37:30.600 --> 0:37:34.400
<v Speaker 1>using audio within that, is that getting recompensed. Is that

0:37:34.600 --> 0:37:37.480
<v Speaker 1>monetary value being found in the world of social media

0:37:37.560 --> 0:37:40.200
<v Speaker 1>and how we're using music within it. Yeah, I think.

0:37:40.360 --> 0:37:42.880
<v Speaker 1>I think social media and short form videos has emerged

0:37:42.920 --> 0:37:45.719
<v Speaker 1>as an incredibly important way that music is being discovered.

0:37:46.280 --> 0:37:49.120
<v Speaker 1>If you look at younger generations, especially Gen Z, their

0:37:49.160 --> 0:37:51.640
<v Speaker 1>primary means by which they're discovering music now is music

0:37:51.719 --> 0:37:54.360
<v Speaker 1>that's included in short form video on TikTok and other platforms.

0:37:54.880 --> 0:37:56.440
<v Speaker 1>And then what we see typically is a lot of

0:37:56.560 --> 0:38:00.200
<v Speaker 1>the consumptions and driven to the platforms like the Spotify is,

0:38:00.200 --> 0:38:03.359
<v Speaker 1>the Apple Music's, Amazon Musics and others. So shore forms

0:38:03.360 --> 0:38:06.160
<v Speaker 1>are really powerful way of discovering and then of course

0:38:06.200 --> 0:38:08.399
<v Speaker 1>as music comes more and more important within these short

0:38:08.440 --> 0:38:11.680
<v Speaker 1>form video platforms, then the music labels and the artists

0:38:11.680 --> 0:38:14.440
<v Speaker 1>start to see compensation from that. So going forward, we're

0:38:14.480 --> 0:38:17.000
<v Speaker 1>definitely going to see a lot more value moving back

0:38:17.080 --> 0:38:19.960
<v Speaker 1>towards the artists from these platforms. And I think as

0:38:20.000 --> 0:38:22.680
<v Speaker 1>recently as the last couple of weeks, YouTube has been

0:38:22.719 --> 0:38:24.839
<v Speaker 1>very clear about how they're going to start sharing their

0:38:24.920 --> 0:38:27.520
<v Speaker 1>enormous advertising revenue with some of these artists as well,

0:38:27.600 --> 0:38:29.840
<v Speaker 1>which I think is is very welcome along overdue. And

0:38:29.920 --> 0:38:32.560
<v Speaker 1>then these artists are locking in the value in the

0:38:32.640 --> 0:38:37.759
<v Speaker 1>here and now through deals, right deals for their catalogs.

0:38:37.840 --> 0:38:41.120
<v Speaker 1>How how does that evolve in this more recessionary environment

0:38:41.160 --> 0:38:44.520
<v Speaker 1>as we start to question the valuation of stocks more broadly,

0:38:44.520 --> 0:38:47.080
<v Speaker 1>assets more broadly, what about catalogs and music do they

0:38:47.200 --> 0:38:50.400
<v Speaker 1>stand up a recessionary environment? Yeah, I think they do.

0:38:50.520 --> 0:38:53.040
<v Speaker 1>I mean, we've seen a huge increase in the amount

0:38:53.080 --> 0:38:57.719
<v Speaker 1>of catalog acquisitions in the last few years. In one

0:38:57.880 --> 0:39:00.799
<v Speaker 1>the catalog consumption market was over five and are all

0:39:00.800 --> 0:39:03.760
<v Speaker 1>close to five and a half billion in transactions reported

0:39:03.800 --> 0:39:06.840
<v Speaker 1>around the acquisition of catalogs by various different entities. It

0:39:06.880 --> 0:39:08.800
<v Speaker 1>definitely slowed down a little bit in twenty two for

0:39:09.000 --> 0:39:11.360
<v Speaker 1>for fairly obvious reasons, and will slow down a bit

0:39:11.400 --> 0:39:14.680
<v Speaker 1>more in three, mainly because of interest rates, but it

0:39:14.760 --> 0:39:17.320
<v Speaker 1>hasn't stopped, you know, even in recent weeks and pretty

0:39:17.360 --> 0:39:21.440
<v Speaker 1>significant deals being announced. Most recently Dr dre announcing he

0:39:21.560 --> 0:39:24.160
<v Speaker 1>was selling his catalog or part of his catalog to

0:39:24.520 --> 0:39:28.040
<v Speaker 1>consortion of UMG and Shamrock for about a quarter billion dollars.

0:39:28.160 --> 0:39:31.080
<v Speaker 1>So these transactions are still happening, um. And the reason

0:39:31.120 --> 0:39:35.400
<v Speaker 1>they're happening is because these UM streams that are attached

0:39:35.400 --> 0:39:39.200
<v Speaker 1>to these music catalogs, they're very very easy to generate

0:39:39.280 --> 0:39:42.000
<v Speaker 1>cash literally from day one, like because of consumption is

0:39:42.000 --> 0:39:44.680
<v Speaker 1>happening on all these streaming platforms. As soon as you

0:39:44.760 --> 0:39:47.600
<v Speaker 1>make the acquisition, you're generating revenue straight away, UM. And

0:39:47.640 --> 0:39:50.320
<v Speaker 1>that's incredibly important to some of these financial buyers. And

0:39:50.360 --> 0:39:51.960
<v Speaker 1>then medium to long term they start to look at

0:39:52.000 --> 0:39:55.359
<v Speaker 1>other opportunities to create value from these catalogs, whether it's

0:39:55.360 --> 0:39:59.720
<v Speaker 1>through brand partnerships or sink opportunities, or exploiting and generating

0:39:59.760 --> 0:40:02.000
<v Speaker 1>reve you from from other forms as well. So I

0:40:02.080 --> 0:40:04.880
<v Speaker 1>think we will continue to see more catalog acquisitions happening

0:40:04.920 --> 0:40:08.239
<v Speaker 1>throughout the course of for sure, I gotta keep on

0:40:08.320 --> 0:40:10.600
<v Speaker 1>talking about it. Then with you, Rob Jonas, we thank

0:40:10.640 --> 0:40:12.279
<v Speaker 1>you so much for talking us through the data behind

0:40:12.320 --> 0:40:15.520
<v Speaker 1>all of its CEO illuminate have a great weeks, so much.

0:40:23.640 --> 0:40:27.520
<v Speaker 1>This weekend, HBO Max releases its Leaders Attempt today Big

0:40:27.719 --> 0:40:30.279
<v Speaker 1>Sunday Night Show. For the first time, HBO is looking

0:40:30.400 --> 0:40:34.240
<v Speaker 1>we'll actually to another industry and another inspiration, video games,

0:40:34.440 --> 0:40:37.799
<v Speaker 1>and it's got ed all excited. And the Last of Us, Yes,

0:40:37.840 --> 0:40:40.320
<v Speaker 1>we threw it. Talk about the adaptation and whether it

0:40:40.440 --> 0:40:42.440
<v Speaker 1>might actually work. Yes, The Last of Us was a

0:40:42.520 --> 0:40:44.839
<v Speaker 1>video game that came out in two thousand thirteen. It's

0:40:45.080 --> 0:40:48.040
<v Speaker 1>it was on PlayStation, published by Naughty Dog and Sony,

0:40:48.239 --> 0:40:51.040
<v Speaker 1>and it was this kind of classic well now classic

0:40:51.160 --> 0:40:54.920
<v Speaker 1>third person shooter zombie survival game, which is like, my jam,

0:40:55.440 --> 0:40:58.800
<v Speaker 1>I love zombie everything. That's not the point now, Pedro

0:40:58.880 --> 0:41:02.560
<v Speaker 1>Pascal of course of Mandalorian. Uh you know, that's one

0:41:02.600 --> 0:41:05.560
<v Speaker 1>of my favorites of his. And I guess maybe you've

0:41:05.560 --> 0:41:09.400
<v Speaker 1>seen the Nick Cage film Mass of Massive Talent. He's okay, well,

0:41:09.440 --> 0:41:11.120
<v Speaker 1>he's the star of the Last of Us. This is

0:41:11.280 --> 0:41:14.719
<v Speaker 1>HBO's replication of the video game, and the video game

0:41:14.840 --> 0:41:18.080
<v Speaker 1>was reiterated many times over and updated for later generations

0:41:18.440 --> 0:41:20.840
<v Speaker 1>of PlayStation. Bella Ramsey's in it. Who has also in

0:41:20.840 --> 0:41:23.880
<v Speaker 1>a Game of Thrones, you know, young actress um. But

0:41:24.920 --> 0:41:29.080
<v Speaker 1>historically video game inspired shows and films have not been

0:41:29.200 --> 0:41:30.960
<v Speaker 1>very good, so yeah, told me through the ones that

0:41:31.160 --> 0:41:33.440
<v Speaker 1>have been panned basically when they've been tried to go

0:41:33.680 --> 0:41:37.400
<v Speaker 1>from smaller screen to a big screen are probably the

0:41:37.760 --> 0:41:42.520
<v Speaker 1>worst according to critics. Not me. Adaptation is Assassin's Creed

0:41:42.600 --> 0:41:45.920
<v Speaker 1>Fastbender in two thousands sixteen. Assassin's Creed is just a

0:41:46.040 --> 0:41:50.759
<v Speaker 1>masterpiece of series of video games across many points of history. Well,

0:41:50.840 --> 0:41:52.960
<v Speaker 1>you know, we won't get a video game, but actually

0:41:53.040 --> 0:41:55.960
<v Speaker 1>that film didn't go down too well. And it's also

0:41:56.000 --> 0:41:57.239
<v Speaker 1>worked the other way. You know, you look at some

0:41:57.440 --> 0:41:59.279
<v Speaker 1>films that they then turned into video games, you know,

0:41:59.360 --> 0:42:03.239
<v Speaker 1>the Harry Potter Universe being example. This year, the Harry

0:42:03.280 --> 0:42:06.400
<v Speaker 1>Potter Universe, based around the kind of story of Hogwarts

0:42:06.440 --> 0:42:08.759
<v Speaker 1>has a video game coming out. This excitement around that

0:42:09.120 --> 0:42:12.960
<v Speaker 1>really hotly anticipated, like anything to do remotely with Harry Potter. Right,

0:42:13.080 --> 0:42:15.320
<v Speaker 1>and and so my point more here is that Sunday

0:42:15.400 --> 0:42:17.359
<v Speaker 1>night has become kind of sacred. You know, you think

0:42:17.360 --> 0:42:20.920
<v Speaker 1>about HBO Sundays and others other competitors. Paramount, you know,

0:42:21.000 --> 0:42:23.840
<v Speaker 1>went with Halo for example that had a mixed reception.

0:42:24.000 --> 0:42:27.040
<v Speaker 1>So well, my weekend sorted at least. But it's a

0:42:27.080 --> 0:42:30.120
<v Speaker 1>big question for this industry. Is this a tactic that's

0:42:30.120 --> 0:42:32.880
<v Speaker 1>going to work? And it isn't interesting. It's kind of

0:42:33.200 --> 0:42:36.120
<v Speaker 1>we keep repeating these sort of ways in which streaming

0:42:36.360 --> 0:42:39.359
<v Speaker 1>and music and entertainment or dovetail together. We're just having

0:42:39.400 --> 0:42:43.759
<v Speaker 1>a conversation about the way in which certain streaming elements

0:42:43.880 --> 0:42:45.719
<v Speaker 1>come back to their the way that Netflix looks to

0:42:45.760 --> 0:42:48.640
<v Speaker 1>South Korea for its winning formula on what we watch

0:42:48.760 --> 0:42:50.560
<v Speaker 1>and then maybe you go for it for music as well,

0:42:50.880 --> 0:42:53.319
<v Speaker 1>and wonder of how industries crossed paths in this way

0:42:53.560 --> 0:42:56.320
<v Speaker 1>the summer all that it's competition for iballs, that's it.

0:42:56.600 --> 0:42:59.600
<v Speaker 1>It is gaming. I mean often they say Netflix says

0:42:59.600 --> 0:43:01.839
<v Speaker 1>it's bigger competitor is gaming. That's why they're doing it, right.

0:43:02.680 --> 0:43:04.760
<v Speaker 1>That does it for all this edition of Bloombow Technology.

0:43:04.800 --> 0:43:06.560
<v Speaker 1>Anything I'm going to missing I'm going to miss you too.

0:43:06.640 --> 0:43:09.840
<v Speaker 1>Don't forget our podcast I heart Radio, Apple, Spotify, wherever

0:43:09.920 --> 0:43:13.560
<v Speaker 1>you get your podcasts. Happy long weekend. This is Bloomberg