WEBVTT - Tech Earnings and AI's Rise

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<v Speaker 1>From Marhard where Innovation, money and power Collie in Silicon Valley, NBN.

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<v Speaker 2>This is Bloomberg Technology with Caroline Hyde and Ed Ludlove.

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<v Speaker 3>I'm Carolin Hyde and Bloomberg's word lad Quarters in New York,

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<v Speaker 3>and I'm Ed Lovelow in San Francisco.

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<v Speaker 4>This is Bloomberg Technology.

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<v Speaker 3>Ed caution consumes investors as were a torrent of tech earnings.

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<v Speaker 5>This week, we discuss what to watch.

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<v Speaker 4>But artificial intelligence momentum. We speak to the CEO of

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<v Speaker 4>Runway on generative AI powered video and we're joined by

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<v Speaker 4>the executive leading fidelities charge into AI and machine learning.

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<v Speaker 3>Meanwhile, legal headaches to blue check chaos. What on earth

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<v Speaker 3>is going on at Twitter? The latest is all coming up.

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<v Speaker 4>It is a big week where earnings are in focus.

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<v Speaker 4>You look at this sort of long list of megacat

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<v Speaker 4>names that are coming. We start with Microsoft, then Alphabet,

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<v Speaker 4>the parent company of Google Meta, and then we work

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<v Speaker 4>through to May fourth in a couple of weeks time

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<v Speaker 4>or next week. For Apple. Things are getting very serious

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<v Speaker 4>because across the S and P five hundred information technology subsector,

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<v Speaker 4>we expect a pretty big drop when it comes to

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<v Speaker 4>earning's character.

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<v Speaker 3>Yeah, we're expecting the biggest drop in tech profits since

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<v Speaker 3>two thousand and nine. Let's dig in to the key

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<v Speaker 3>company's got to keep an eye on none of them

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<v Speaker 3>and Mart Mahiney you know him, of course, senior managing

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<v Speaker 3>director of Internet Research over at Evercore ISI and we

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<v Speaker 3>wait with bated breath to the likes of Alphabet, some

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<v Speaker 3>of the big heavyweights that really shine and light on

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<v Speaker 3>how much companies are willing to spend on advertising and

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<v Speaker 3>drive these sorts of companies forward.

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<v Speaker 6>Mark, That's right, Caroline, So yeah, we're going to get

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<v Speaker 6>a lot of I think there are three things we

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<v Speaker 6>want to alter that it and all the noise we're

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<v Speaker 6>going to get the signal we're going to get this week.

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<v Speaker 6>Let's try to focus on three things. What are these

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<v Speaker 6>companies telling us about the state of the economy. Is

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<v Speaker 6>our advertising retail trends, cloud enterprise spend trends. Are they

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<v Speaker 6>still deteriorating or improving from where we were in the

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<v Speaker 6>December quarter? Our best guess is that trends are stabilizing

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<v Speaker 6>to softening, not recovering yet. The second thing is costs.

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<v Speaker 6>That's the new sheriff in town, if you will. All

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<v Speaker 6>of these companies across tech have announced some sort of

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<v Speaker 6>riffs reduction in forces over the last three six nine months.

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<v Speaker 6>I mean, it's a dramatic change in the mentality of

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<v Speaker 6>Silicon Valley and of tech broadly. So is there more

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<v Speaker 6>to come? And what does it actually mean in terms

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<v Speaker 6>of the bottom line? How successful are these companies defending

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<v Speaker 6>their free cash flow and earnings? And then the third

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<v Speaker 6>thing is on the positive side, is AI generative AI.

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<v Speaker 6>You already teased it out a little bit, and I

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<v Speaker 6>imagine that every tech company is going to mention AI

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<v Speaker 6>and somebody should start a counter right now. How many

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<v Speaker 6>times AI is mentioned in the in the earnings transcripts

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<v Speaker 6>over the next of course, of the next couple of weeks.

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<v Speaker 4>But it's going to be high.

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<v Speaker 6>But for a reason too, we're at a bit of

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<v Speaker 6>a tipping point because for a lot of reasons, but

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<v Speaker 6>you know, chat GPT really brought AI home to most

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<v Speaker 6>people about what the power is of these models even

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<v Speaker 6>though they've been deployed for a while. But the increase

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<v Speaker 6>in compute capacity really allows kind of a step level

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<v Speaker 6>increase in the applications to the deployments of AI. So

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<v Speaker 6>talk about it. We want these companies to talk about

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<v Speaker 6>how well positioned they are and what their deployment ideas are.

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<v Speaker 4>Mark, let's go back to that sheriff in town being

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<v Speaker 4>cost control. You know, probably the one point of commonality

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<v Speaker 4>between those names is that they have done layoffs and

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<v Speaker 4>other cost reduction action and how it shows up. I

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<v Speaker 4>find Meta to be really interesting in that respect because

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<v Speaker 4>the top line growth might not be there, but I

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<v Speaker 4>think we're expecting a sequential improvement in margins, right because

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<v Speaker 4>of the actions that they've taken.

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<v Speaker 2>I think that's right.

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<v Speaker 6>I just think of these companies, probably the one that's

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<v Speaker 6>been most aggressive in taking out costs so far, maybe

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<v Speaker 6>surprisingly it is Meta, and I think these other companies,

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<v Speaker 6>I think the market. I think investors want Google to

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<v Speaker 6>do more with their cost structure, that's probably, and then

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<v Speaker 6>I think market once and investors want Amazon to do

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<v Speaker 6>more too. I don't know about Microsoft. Investors may be

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<v Speaker 6>comfortable with where they are now, but yeah, I think

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<v Speaker 6>at the whole, investors kind.

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<v Speaker 4>Of want a little bit more.

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<v Speaker 6>Look, we overbuilt, we over hired because we overextrapolated from

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<v Speaker 6>COVID demand trends, but also because we're going into a

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<v Speaker 6>softening demand environment. You know, households are going to have

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<v Speaker 6>to tighten our belts and solo companies. So I think

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<v Speaker 6>there's gonna be an expectation or at least a hope.

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<v Speaker 6>This question is whether it's going to be realized that

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<v Speaker 6>we're going to hear more on the cost front from companies.

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<v Speaker 6>I think we will from Meta, I'm not sure we

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<v Speaker 6>will from Google, and I think we will from Amazon,

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<v Speaker 6>but you know, it's hard to know.

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<v Speaker 3>The three big beasts that you analyze Mark Amazon also

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<v Speaker 3>will shine a light, as you said so rightly, on

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<v Speaker 3>how willing companies are to invest in things like cloud.

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<v Speaker 3>At the moment, AWS a big profit juggernaut for them,

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<v Speaker 3>but also for alphabet who are hoping to break even

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<v Speaker 3>in some way on that. What do you expect for

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<v Speaker 3>how much companies are showing resilience and needing compute power

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<v Speaker 3>right now?

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<v Speaker 6>Well, we're decelerating. I think cloud demand is going down.

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<v Speaker 6>It shot up during part of the COVID crisis. It's

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<v Speaker 6>been a super hot, high priority level area for enterprise

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<v Speaker 6>spend for the better part of five, six, seven years,

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<v Speaker 6>but it's slowed down and we're through what we're going

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<v Speaker 6>through what's called an optimization cycle, where companies are going

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<v Speaker 6>to you know, when the renewals are coming up, they're

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<v Speaker 6>demanding better, a bigger discounts, or more capacity for the

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<v Speaker 6>same price. That's clearly happening in the market. That means

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<v Speaker 6>that these revenue growth rates that Microsoft is going to

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<v Speaker 6>report with a zer, a, Google Cloud, and AWS are

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<v Speaker 6>going to report, they're all going to show a slow down.

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<v Speaker 6>And the question we have is just how low will it go?

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<v Speaker 6>And I think we hope that the trough is kind

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<v Speaker 6>of the June quarter, and we think with Amazon with

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<v Speaker 6>AWS you're going to have like a single digit percent

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<v Speaker 6>growth and AWS revenue. I mean, that's kind of shocking

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<v Speaker 6>if you go back two years, nobody would have expected

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<v Speaker 6>that to happen, But that's probably what's going to happen.

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<v Speaker 6>And then the question is how quickly does it base

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<v Speaker 6>from there and start reaccelerating. We think it will base,

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<v Speaker 6>We think it will reaccelerate. We just don't really know

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<v Speaker 6>just how quickly it will. So that's that's going to

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<v Speaker 6>be an overhang on the stock mark.

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<v Speaker 4>If we do get some upside surprise across this kind

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<v Speaker 4>of pretty broad range of names, where do you think

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<v Speaker 4>it will be.

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<v Speaker 6>I think it's probably going to come on the margin side.

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<v Speaker 6>Ed I think it's probably going to come on the

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<v Speaker 6>cost side, because that's what these companies can control. It

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<v Speaker 6>can't do much about demand trends in a softening macro environment.

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<v Speaker 6>So I'd be really surprised if we had positive, you know,

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<v Speaker 6>material upwards revisions on cloud enterprise spend, or on retail

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<v Speaker 6>spend or on advertising spend. I mean, I hope we

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<v Speaker 6>get them, but as a bull on these stocks, but

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<v Speaker 6>I don't.

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<v Speaker 4>I think that's.

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<v Speaker 6>Highly highly unlikely and what we should so I think

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<v Speaker 6>there'll be positive news on the margins. We should all

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<v Speaker 6>be just watching out for the chance that if we

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<v Speaker 6>go into a hard landing in the second half of

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<v Speaker 6>this year. I don't think that's modeled in. It may

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<v Speaker 6>be priced in, but I don't think it's modeled into

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<v Speaker 6>these companies. So that's what we're you know, Like I

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<v Speaker 6>do worry like fund valuation wise, I think there's upside

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<v Speaker 6>to be stock because they were so de risk last year.

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<v Speaker 6>But estimates wise, I think the first half the year

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<v Speaker 6>estimates are fine, a little bit of an upwards bias

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<v Speaker 6>because of cost cutting, But I just worry about the

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<v Speaker 6>demand tens if we have a hard landing estimates may

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<v Speaker 6>need to come down in the back half of the year,

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<v Speaker 6>So I don't know if that's more cautious than you

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<v Speaker 6>wanted to hear it. That's kind of how we come out.

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<v Speaker 3>And what's interesting about timing this year for this quarter.

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<v Speaker 3>It used to be that Snap was the bell weather

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<v Speaker 3>for where we would expect Alphabet and Meta to go,

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<v Speaker 3>but they're actually behind those two ones in terms of

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<v Speaker 3>timing this year.

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<v Speaker 4>Yeah, you're right, we showed the calendar earlier. Mark. It's

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<v Speaker 4>just the cadence of the week gets bigger and bigger

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<v Speaker 4>and bigger. But we don't have an early sense apart

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<v Speaker 4>from Tesla that's reported on broadly where we sit in

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<v Speaker 4>this market.

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<v Speaker 6>You're right, Carolina, Then you're right, and it's odd the

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<v Speaker 6>way you set it up. Caroline, you're right that the

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<v Speaker 6>market took Snap as a bell weather, but come on,

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<v Speaker 6>it's tiny compared to these other companies, and they haven't

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<v Speaker 6>executed nearly as well, so they've really been a false

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<v Speaker 6>false indicator most quarters, I would argue, So I think

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<v Speaker 6>it's better for the market that they report later because

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<v Speaker 6>it's just noise that comes out of them. You and

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<v Speaker 6>I don't mean I don't mean that disrespectfully. I just

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<v Speaker 6>think that they're less of a read through into the

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<v Speaker 6>larger and larger players. That's what I really meant to

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<v Speaker 6>say in a respectful way. Whereas Google is going to

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<v Speaker 6>give you a really good view on what's happening to

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<v Speaker 6>overall advertising trends. Google is GDP advertising, so and I

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<v Speaker 6>think they're going to talk about trends that are softening,

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<v Speaker 6>not deterior and dramatically, but are modestly deteriorating. And I

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<v Speaker 6>think we should be prepared for that. I think it's

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<v Speaker 6>going to be a really reasonable read through, certainly sizable.

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<v Speaker 6>It's the single largest advertising data point you can get worldwide.

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<v Speaker 6>Pay attention to Google.

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<v Speaker 3>Mamahini well said, and pay attention to all of those

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<v Speaker 3>AI headlines that come out of them as well. Av

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<v Speaker 3>Aquo II, we thank you as always for joining.

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<v Speaker 5>Us a ed.

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<v Speaker 2>Yeah.

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<v Speaker 4>Look, layoffs were a common theme of that conversation. Let's

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<v Speaker 4>take a look at Disney, which began its second round

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<v Speaker 4>of job cuts today, part of its broader push to

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<v Speaker 4>eliminate about seven thousand jobs this year. The company says

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<v Speaker 4>that by Thursday, around four four thousand jobs will have

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<v Speaker 4>been cut. The cut stretch from Disney's headquarters in Burbank,

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<v Speaker 4>California to the ESPN Sports network over in Connecticut. Now

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<v Speaker 4>coming up, Bitcoin hit new records after each of its

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<v Speaker 4>previous harvings. Now cryptoanalysts are projecting for a new high

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<v Speaker 4>when the process takes place next year. We have more

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<v Speaker 4>and how this will push the price of the digital

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<v Speaker 4>token quick check and the shares of First Republic higher

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<v Speaker 4>seven percent due out of earnings after the bell later today,

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<v Speaker 4>have really keen eye on deposit flows still going the

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<v Speaker 4>health of that bank long term, bringing the details.

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<v Speaker 7>This is bloombow.

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<v Speaker 3>So crypto taking a bit of a breathe over the

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<v Speaker 3>last few trading days, but analysts through actually saying Bitcoin

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<v Speaker 3>in particular, it's rebound, just the start of the rally

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<v Speaker 3>that will take the coin past fifty thousand dollars next year,

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<v Speaker 3>all because of what is the process known as halving,

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<v Speaker 3>that's basically curbing the amount of tokens that miners receive

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<v Speaker 3>as a reward for their work. Mike mccloin seeing in

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<v Speaker 3>macro strutches and bringing back intelligence joins us. Now with

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<v Speaker 3>more and this so called harving, we're anticipating what happens

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<v Speaker 3>in about April of next year.

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<v Speaker 8>Well, Hi, Caroline, it makes me put on my trader's

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<v Speaker 8>hat versus my investor's hat. The having, i think is

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<v Speaker 8>the key part of bitcoin's definable diminishing supply, which is

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<v Speaker 8>unique to all common is the theater is kind of

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<v Speaker 8>like that, just less more difficult to measure. But with

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<v Speaker 8>increasing the demand and adoption of price must up over

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<v Speaker 8>time that it's a known known. The thing I'm worried

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<v Speaker 8>about right now is this bigger unknown of the world

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<v Speaker 8>tilting towards the recession, risk assets kind of tilting downward,

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<v Speaker 8>and the FED still tightening. In bitcoin and in cryptos

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<v Speaker 8>among the riskiest of acts. So I'm worried that we're

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<v Speaker 8>more likely to have peaked around thirty have some pressure

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<v Speaker 8>for a while, particularly if we see more in the

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<v Speaker 8>screen we're seeing today with the stock market going lower

0:11:05.720 --> 0:11:09.320
<v Speaker 8>and NASDA kind trickling down below that thirteen thousand level.

0:11:10.640 --> 0:11:12.480
<v Speaker 4>Mike, let's go back to basics a little bit. A

0:11:12.520 --> 0:11:16.640
<v Speaker 4>harving or harthening as it's otherwise known, reducing the amount

0:11:17.760 --> 0:11:20.400
<v Speaker 4>of tokens that bitcoin minors get as a reward for

0:11:20.480 --> 0:11:24.560
<v Speaker 4>their work. What is the link between that activity and

0:11:24.679 --> 0:11:28.800
<v Speaker 4>the anticipation of the price of bitcoin going higher. What

0:11:28.840 --> 0:11:30.040
<v Speaker 4>are the mechanics behind that.

0:11:31.240 --> 0:11:36.240
<v Speaker 1>So right now the most you can we can produce

0:11:36.400 --> 0:11:39.000
<v Speaker 1>on a daily basis of bitcoin mine is nine hundred

0:11:39.040 --> 0:11:41.319
<v Speaker 1>coins a day. Before that was eighteen hundred before the

0:11:41.400 --> 0:11:43.320
<v Speaker 1>last having, So you get the next having that's going

0:11:43.360 --> 0:11:45.120
<v Speaker 1>to cut it back to four hundred and fifty coins

0:11:45.160 --> 0:11:47.760
<v Speaker 1>a day. It's by code, and then four years from

0:11:47.800 --> 0:11:49.560
<v Speaker 1>now it's going to do it again. That's just the

0:11:49.600 --> 0:11:52.120
<v Speaker 1>beauty of the code. It has to go down the

0:11:52.120 --> 0:11:53.120
<v Speaker 1>supply decline.

0:11:53.200 --> 0:11:56.439
<v Speaker 9>So right now the total supply is running around two percent,

0:11:57.080 --> 0:11:59.640
<v Speaker 9>so right around the historical measure of goal. A year

0:11:59.640 --> 0:12:02.200
<v Speaker 9>from now it's going to drop below one percent because

0:12:02.400 --> 0:12:05.040
<v Speaker 9>it's just definable diminishing. And that's the beauty of it.

0:12:05.240 --> 0:12:07.720
<v Speaker 9>All those miners are fighting for more and more. But

0:12:07.760 --> 0:12:10.199
<v Speaker 9>it's a unique thing about what bitcoin does. No other

0:12:10.280 --> 0:12:13.040
<v Speaker 9>commodity does that. You can say prices go up, supply

0:12:13.160 --> 0:12:15.640
<v Speaker 9>comes on tip. Particularly with gold it does too, but

0:12:15.800 --> 0:12:18.360
<v Speaker 9>most notably learned that when crude all last year. But

0:12:18.480 --> 0:12:21.160
<v Speaker 9>what's happening now is people are anticipating now it's going

0:12:21.200 --> 0:12:22.400
<v Speaker 9>to just do what it did in the past. And

0:12:22.480 --> 0:12:24.520
<v Speaker 9>I think the thing that's different this time, ed is

0:12:24.760 --> 0:12:27.920
<v Speaker 9>bitcoin was born out of the last great financial crisis

0:12:27.960 --> 0:12:30.280
<v Speaker 9>in that recession. I think this one's going to define it,

0:12:30.840 --> 0:12:33.120
<v Speaker 9>but it's going to be its first recession, and I

0:12:33.160 --> 0:12:35.040
<v Speaker 9>think it's the first time we might see that the

0:12:35.160 --> 0:12:37.440
<v Speaker 9>S and B five hundred drop more than twenty percent

0:12:37.640 --> 0:12:40.720
<v Speaker 9>into a recession, which should pull all risk acids lower.

0:12:40.760 --> 0:12:42.360
<v Speaker 9>So I think i'll end with this one thing you

0:12:42.400 --> 0:12:44.600
<v Speaker 9>saw today was a little bit off topic, but similar

0:12:44.640 --> 0:12:49.319
<v Speaker 9>as record shorts and ten year thirty year in bond futures,

0:12:49.400 --> 0:12:53.000
<v Speaker 9>might be indicative of gold continued toll performing, Bitcoin being

0:12:53.040 --> 0:12:54.360
<v Speaker 9>pushed a little to the waistside.

0:12:55.880 --> 0:12:58.679
<v Speaker 4>All right, Mike mcglom Bloomberg Intelligence on a roll out

0:12:58.720 --> 0:13:01.520
<v Speaker 4>of Miami. Thank you. Meanwhile, Caroline, don't know if you

0:13:01.520 --> 0:13:04.839
<v Speaker 4>saw this one. Franklin Templeton says it's money market fund

0:13:04.880 --> 0:13:08.160
<v Speaker 4>used to record share ownership on a blockchain, is seeing

0:13:08.280 --> 0:13:13.040
<v Speaker 4>inflows specifically from crypto related firms. The fund's total assets

0:13:13.160 --> 0:13:16.000
<v Speaker 4>increased to around two hundred and seventy million dollars. This

0:13:16.120 --> 0:13:19.680
<v Speaker 4>is a fund that invests in US government securities, does

0:13:19.720 --> 0:13:22.720
<v Speaker 4>not hold crypto assets, but it's who's putting the money in.

0:13:23.040 --> 0:13:26.120
<v Speaker 3>Yeah, because remember a lot of at the moment, these

0:13:26.520 --> 0:13:30.080
<v Speaker 3>overall crypto investors or crypto related companies, they've just lost

0:13:30.080 --> 0:13:32.040
<v Speaker 3>a load of their financial infrastructure with some of the

0:13:32.080 --> 0:13:34.600
<v Speaker 3>bank's silver gate. We think, of course Signature Bank coming

0:13:34.600 --> 0:13:36.560
<v Speaker 3>out of the market. They want safer places to put

0:13:36.559 --> 0:13:38.120
<v Speaker 3>their money. Of course, you kind of have to be

0:13:38.200 --> 0:13:40.320
<v Speaker 3>banked to get into a money market fund, even if

0:13:40.360 --> 0:13:44.280
<v Speaker 3>it's Franklin Templeton. But I suppose it is no surprise

0:13:44.480 --> 0:13:46.040
<v Speaker 3>that if you're going to look for a money market

0:13:46.040 --> 0:13:49.720
<v Speaker 3>fund to gain you exposure, safe exposure overall, you're likely

0:13:49.800 --> 0:13:51.960
<v Speaker 3>to go to one that's at least in some way

0:13:52.040 --> 0:13:54.400
<v Speaker 3>in your line of sight and liking. And of course

0:13:54.400 --> 0:13:57.160
<v Speaker 3>the Franklin on shae US government money funds they're going

0:13:57.200 --> 0:13:59.000
<v Speaker 3>to like that. There's sort of play there, isn't there,

0:13:59.000 --> 0:14:00.760
<v Speaker 3>And at the moment it's off likely to be on

0:14:00.880 --> 0:14:01.920
<v Speaker 3>chain without Benji coin.

0:14:02.920 --> 0:14:04.920
<v Speaker 4>We saw the vcs do it, and now we're seeing

0:14:04.920 --> 0:14:07.160
<v Speaker 4>the industry itself do it with their own money. Let's

0:14:07.160 --> 0:14:10.240
<v Speaker 4>continue talking with the crypto market. Sunny Singers here with

0:14:10.360 --> 0:14:13.520
<v Speaker 4>more insights. The CEO of CS Labs twenty one in

0:14:13.640 --> 0:14:17.720
<v Speaker 4>stealth mode, but also of course a well known person

0:14:17.760 --> 0:14:20.680
<v Speaker 4>in this industry. Let's go straight actually to the harving

0:14:20.800 --> 0:14:23.520
<v Speaker 4>or the harvining. What do you make of that?

0:14:23.880 --> 0:14:25.400
<v Speaker 2>Yeah, it happens everything years.

0:14:25.640 --> 0:14:27.640
<v Speaker 4>You're a believer in the logic behind it.

0:14:27.880 --> 0:14:30.880
<v Speaker 10>Yes, it makes sure like central governments can keep producing

0:14:31.360 --> 0:14:34.120
<v Speaker 10>new currency, which creates inflation. Bitcoin was created the other

0:14:34.160 --> 0:14:37.360
<v Speaker 10>way to reduce the supply, which makes it more deflation area.

0:14:37.440 --> 0:14:39.920
<v Speaker 10>So it's a great mechanism they built into the system,

0:14:40.200 --> 0:14:43.480
<v Speaker 10>and it happens every four years, and it's scheduled to

0:14:43.520 --> 0:14:46.480
<v Speaker 10>happen next April twenty seventh, round rough with that date,

0:14:47.080 --> 0:14:49.160
<v Speaker 10>and so right around a year from now, and you're

0:14:49.160 --> 0:14:51.680
<v Speaker 10>gonna start seeing a lot of media frenzy start happening.

0:14:51.840 --> 0:14:54.240
<v Speaker 10>Six months to you know, rout and that should start happening,

0:14:54.240 --> 0:14:55.560
<v Speaker 10>and then you start seeing the price run up a

0:14:55.560 --> 0:14:55.920
<v Speaker 10>little bit.

0:14:56.960 --> 0:15:00.920
<v Speaker 3>Look, it's funny to overall think about how much we've

0:15:00.960 --> 0:15:04.520
<v Speaker 3>seen this torrid time within crypto, whether it's actually the

0:15:04.680 --> 0:15:07.200
<v Speaker 3>likes of Bitcoin eighth sort of taking up a lot

0:15:07.200 --> 0:15:08.680
<v Speaker 3>of the oxygen in the room when it comes to

0:15:08.720 --> 0:15:10.240
<v Speaker 3>allocation at the moment, or at least.

0:15:10.080 --> 0:15:11.080
<v Speaker 5>Where the rallies have been.

0:15:11.440 --> 0:15:13.640
<v Speaker 3>Then there's also the question we were just talking about

0:15:13.640 --> 0:15:15.640
<v Speaker 3>the fact that a lot of crypto players find themselves

0:15:15.640 --> 0:15:18.240
<v Speaker 3>without the banking infrastructure that were used to the signatures,

0:15:18.240 --> 0:15:21.120
<v Speaker 3>the silver banks or the overall silver gates as well.

0:15:21.480 --> 0:15:24.080
<v Speaker 5>How difficult is it in the crypto space for you?

0:15:25.200 --> 0:15:25.920
<v Speaker 2>It's very bad.

0:15:25.960 --> 0:15:27.640
<v Speaker 10>So my company we just raised a four million dollar

0:15:27.680 --> 0:15:29.560
<v Speaker 10>seed around. We did it in forty five days, which

0:15:29.600 --> 0:15:31.720
<v Speaker 10>is great from an all starting of crypto investors as

0:15:31.760 --> 0:15:35.200
<v Speaker 10>all autritional investors, But the mood has definitely changed. The

0:15:35.400 --> 0:15:39.400
<v Speaker 10>banking regulations have become increasingly hard. Getting banks is increasingly hard.

0:15:39.440 --> 0:15:42.120
<v Speaker 10>Everything that could go wrong has gone wrong for the

0:15:42.120 --> 0:15:45.040
<v Speaker 10>crypto industry. And yet the price of bitcoin has rallied

0:15:45.040 --> 0:15:47.480
<v Speaker 10>from sixteen thousand to almost thirty thousand in the last

0:15:47.480 --> 0:15:49.960
<v Speaker 10>six months, which is pretty remarkable, and I wouldn't be

0:15:50.000 --> 0:15:51.960
<v Speaker 10>surprised if bitcoin hits forty thousand this year.

0:15:52.400 --> 0:15:54.480
<v Speaker 4>Can I just jump in on that seed stage? Just

0:15:54.600 --> 0:15:58.160
<v Speaker 4>broadly speaking, how difficult was that following the collapse of

0:15:58.880 --> 0:16:01.880
<v Speaker 4>Silicon Valley Bank? For how long you would negotiate around

0:16:01.880 --> 0:16:05.400
<v Speaker 4>But you're basically taking a crypto proposition to investors who

0:16:05.480 --> 0:16:09.160
<v Speaker 4>are a bit more cautious than perhaps they previously were

0:16:09.280 --> 0:16:10.080
<v Speaker 4>in that industry.

0:16:10.200 --> 0:16:12.320
<v Speaker 10>Yes, it was much harder and we wanted to get

0:16:12.360 --> 0:16:15.080
<v Speaker 10>a mix of crypto investors as well as silicon value investors.

0:16:15.280 --> 0:16:17.040
<v Speaker 2>And the silicon value investors.

0:16:16.680 --> 0:16:18.760
<v Speaker 10>Might have loved the idea, but they're no longer doing

0:16:18.800 --> 0:16:21.280
<v Speaker 10>crypto investing anymore. A while of teams said they're now

0:16:21.280 --> 0:16:23.680
<v Speaker 10>doing AI and pivot, so it's much more difficult that way,

0:16:23.880 --> 0:16:25.520
<v Speaker 10>and they would rarely to wire our money the day

0:16:25.520 --> 0:16:27.800
<v Speaker 10>before SVB had the issues, and we're going to SVB

0:16:27.880 --> 0:16:30.120
<v Speaker 10>two as we did away that three weeks too. So again,

0:16:30.160 --> 0:16:32.320
<v Speaker 10>everything that could go wrong has gone wrong in the

0:16:32.320 --> 0:16:34.080
<v Speaker 10>crypto space for the last year, I would.

0:16:33.840 --> 0:16:36.480
<v Speaker 3>Say, and that's not even talking about some of the

0:16:36.480 --> 0:16:39.600
<v Speaker 3>overall regulatory headwinds that still everyone is very worried about

0:16:39.640 --> 0:16:41.600
<v Speaker 3>when it comes to how people are going to analyze

0:16:41.640 --> 0:16:42.720
<v Speaker 3>the SEC is going to look.

0:16:42.640 --> 0:16:43.720
<v Speaker 5>At some of these crypto assets.

0:16:44.040 --> 0:16:47.160
<v Speaker 3>All these headlines you see Gemini thinking of a non

0:16:47.280 --> 0:16:50.560
<v Speaker 3>US based derivative platform. We know that other key players

0:16:50.600 --> 0:16:55.040
<v Speaker 3>are looking at licenses, crypto licensings in Bermuda. How tempting

0:16:55.120 --> 0:16:57.240
<v Speaker 3>is it to take whatever you're building out of the

0:16:57.320 --> 0:16:58.200
<v Speaker 3>United States.

0:16:58.640 --> 0:17:01.800
<v Speaker 10>Yeah, and again companies that coin based Gemini, my previous company,

0:17:01.800 --> 0:17:03.840
<v Speaker 10>bit pay. We try to play by the rules. Work

0:17:03.880 --> 0:17:05.800
<v Speaker 10>with the SEC. We all got in New York bit licenses.

0:17:05.840 --> 0:17:07.720
<v Speaker 10>We're trying to do it the right way. Fighting the

0:17:07.760 --> 0:17:10.000
<v Speaker 10>SEC is now really getting a little harder to work with,

0:17:10.119 --> 0:17:12.240
<v Speaker 10>and they keep changing their mind on things and becoming

0:17:12.280 --> 0:17:14.399
<v Speaker 10>like coin based of Gema. It's trying to keep growing

0:17:14.800 --> 0:17:17.240
<v Speaker 10>during Crypto Winner, it's hard for them to get full

0:17:17.640 --> 0:17:18.399
<v Speaker 10>clarity on what to do.

0:17:18.520 --> 0:17:19.760
<v Speaker 2>That's why they're looking offshore.

0:17:20.080 --> 0:17:23.600
<v Speaker 10>And again ftxus FTX, which went out of business, was

0:17:23.680 --> 0:17:26.520
<v Speaker 10>created because it compan called bit mechs random issues. And

0:17:26.600 --> 0:17:28.800
<v Speaker 10>now with FTX gone, there's really a void in the

0:17:28.880 --> 0:17:32.080
<v Speaker 10>international trading markets that's going to buyans instead, and companies

0:17:32.160 --> 0:17:34.280
<v Speaker 10>like Gemini and coinbas see a big opportunity if they

0:17:34.280 --> 0:17:36.800
<v Speaker 10>can get this derivers market and things like that that

0:17:36.880 --> 0:17:38.040
<v Speaker 10>Bias has been focusing on.

0:17:38.320 --> 0:17:41.240
<v Speaker 4>All right, Thanks to Sonny Saying CEO of cs Labs

0:17:41.240 --> 0:17:51.879
<v Speaker 4>twenty one, which I hope to hit more about. Twitter's

0:17:51.960 --> 0:17:55.360
<v Speaker 4>legal battles over its mass layoffs. Last Full continue to grow,

0:17:55.440 --> 0:17:59.080
<v Speaker 4>with two more formal workers filing class action complaints at

0:17:59.119 --> 0:18:03.199
<v Speaker 4>about two thousand Index employees pursuing claims in individual arbitration.

0:18:03.320 --> 0:18:06.720
<v Speaker 4>Let's bring in Bloomberg. Sarah Fryar for more two thousand,

0:18:08.000 --> 0:18:10.040
<v Speaker 4>making claims. It's quite a big chunk of the workforce

0:18:10.119 --> 0:18:10.840
<v Speaker 4>that was laid off.

0:18:11.520 --> 0:18:15.160
<v Speaker 11>And it's all in individual arbitration and mass arbitration, which

0:18:15.880 --> 0:18:19.760
<v Speaker 11>often when companies put the arbitration clauses into contracts to

0:18:19.880 --> 0:18:22.919
<v Speaker 11>expect that they'll be able to get things done quietly

0:18:23.000 --> 0:18:25.600
<v Speaker 11>behind the scenes. In this case, I don't think that's

0:18:25.640 --> 0:18:27.720
<v Speaker 11>going to work. I think it's going to become a

0:18:27.920 --> 0:18:30.800
<v Speaker 11>very arduous and expensive process for Twitter.

0:18:31.600 --> 0:18:35.760
<v Speaker 3>Meanwhile, there's been several people completely well many people completely

0:18:35.800 --> 0:18:39.119
<v Speaker 3>baffled by what's happening at Twitter in general, particularly around

0:18:39.520 --> 0:18:41.200
<v Speaker 3>who's got those blue check.

0:18:41.080 --> 0:18:43.560
<v Speaker 5>Marks who doesn't. It feels as though there's a lot

0:18:43.560 --> 0:18:44.560
<v Speaker 5>of chaos there at the moment.

0:18:44.560 --> 0:18:46.320
<v Speaker 3>I just want to listen into what Ron Reynolds had

0:18:46.359 --> 0:18:49.040
<v Speaker 3>to say last week about the service to take a listen.

0:18:48.880 --> 0:18:51.800
<v Speaker 12>Sarah, I don't know. I mean, I see they all

0:18:51.960 --> 0:18:56.320
<v Speaker 12>have sort of different footprints. I mean, Twitter has is

0:18:56.480 --> 0:19:00.920
<v Speaker 12>now and has always been a piping high dumpster fire

0:19:01.040 --> 0:19:04.639
<v Speaker 12>of trash, and it is it can be a very

0:19:04.760 --> 0:19:06.960
<v Speaker 12>difficult place, but it's also a place that there can

0:19:07.000 --> 0:19:08.080
<v Speaker 12>also be incredible good.

0:19:09.840 --> 0:19:11.600
<v Speaker 3>When you have words to say like that, are we

0:19:11.840 --> 0:19:14.880
<v Speaker 3>unsurprised that with twenty one million followers, his Blue Legacy

0:19:14.960 --> 0:19:16.920
<v Speaker 3>check mark isn't being paid by Ela Musk.

0:19:18.880 --> 0:19:21.959
<v Speaker 11>I think that we're actually seeing the check mark return

0:19:22.040 --> 0:19:24.960
<v Speaker 11>to a lot of accounts in particular that have been

0:19:25.080 --> 0:19:29.600
<v Speaker 11>critical of Musk is almost applying that brand to them

0:19:29.760 --> 0:19:33.440
<v Speaker 11>as a punishment, which seems like a strange a strange

0:19:34.160 --> 0:19:37.200
<v Speaker 11>reward slash punishment. If you want people to buy a

0:19:37.240 --> 0:19:41.560
<v Speaker 11>blue check, using it against your enemies is not the

0:19:41.640 --> 0:19:44.760
<v Speaker 11>strategy I would pick, but hey, Musk has he works

0:19:44.800 --> 0:19:48.480
<v Speaker 11>in mysterious ways. I think we're also seeing the check

0:19:48.600 --> 0:19:53.360
<v Speaker 11>reappear among the accounts of you know, rather popular accounts

0:19:53.400 --> 0:19:56.560
<v Speaker 11>with more than a million followers, including some accounts of

0:19:56.600 --> 0:20:01.280
<v Speaker 11>people who don't exist or who have since died from

0:20:01.359 --> 0:20:04.760
<v Speaker 11>before the checks were rolled out. So it is all

0:20:04.880 --> 0:20:08.600
<v Speaker 11>getting a whole lot more confusing, And I think that

0:20:10.160 --> 0:20:15.080
<v Speaker 11>it just means the Twitter Blue experiment nobody knows what

0:20:15.119 --> 0:20:16.840
<v Speaker 11>it's for. Nobody knows all.

0:20:16.800 --> 0:20:18.880
<v Speaker 4>Right, Bloomberg Surah for I thank you. Cara would point

0:20:18.920 --> 0:20:21.600
<v Speaker 4>out in Ryan Reynolds's case, in particular, he is using

0:20:21.680 --> 0:20:24.560
<v Speaker 4>Twitter right. Think about the reaction video he shared film

0:20:24.640 --> 0:20:27.520
<v Speaker 4>by Paul Rudd after his football team Rexham got promoted.

0:20:28.119 --> 0:20:31.280
<v Speaker 3>Millions of people saw that particular clips, several clips.

0:20:31.320 --> 0:20:33.640
<v Speaker 5>What a story They've got to make another documentary out

0:20:33.680 --> 0:20:33.760
<v Speaker 5>of it.

0:20:33.960 --> 0:20:34.000
<v Speaker 13>Ed.

0:20:34.760 --> 0:20:36.879
<v Speaker 4>Yeah, and by the way, my mum was born in Wrexham,

0:20:36.920 --> 0:20:38.040
<v Speaker 4>so I was cheering from AFAR.

0:20:46.200 --> 0:20:48.760
<v Speaker 3>Welcome back to bloombag Technology. I'm Carolin Hide in New York.

0:20:49.200 --> 0:20:51.680
<v Speaker 4>And Imed Ludlow in San Francisco. Carrige. We get a

0:20:51.760 --> 0:20:53.600
<v Speaker 4>quick check on the markets and where we're training in

0:20:53.640 --> 0:20:56.639
<v Speaker 4>the technology sector, and that's that one hundred softer by

0:20:56.640 --> 0:20:59.240
<v Speaker 4>about seven tens percent. Tesla kind of a big drag

0:20:59.359 --> 0:21:02.639
<v Speaker 4>on that index from a points perspective. Underperformance as well

0:21:03.000 --> 0:21:06.359
<v Speaker 4>in the chip space semiconductors and the socks off by

0:21:06.440 --> 0:21:09.159
<v Speaker 4>nine tens percent short end of the curve. That is interesting.

0:21:09.200 --> 0:21:11.520
<v Speaker 4>You see the two year off by about three basis

0:21:11.600 --> 0:21:13.800
<v Speaker 4>points four point one four percent, and as we said,

0:21:14.040 --> 0:21:17.200
<v Speaker 4>we kind of cooled it on Bitcoin twenty seven three

0:21:17.280 --> 0:21:20.960
<v Speaker 4>hundred dollars or so per token. There's a few specific

0:21:21.080 --> 0:21:22.800
<v Speaker 4>movers that we're looking at in the markets as well

0:21:22.840 --> 0:21:25.280
<v Speaker 4>when it comes to big tech names, actually tech names

0:21:25.359 --> 0:21:27.359
<v Speaker 4>large and small. Mister director, if you change up the

0:21:27.400 --> 0:21:30.120
<v Speaker 4>board Tesla, as I said to the downside, a pretty

0:21:30.160 --> 0:21:33.800
<v Speaker 4>big drag. Microsoft also markedly lower off by two percent

0:21:34.240 --> 0:21:37.800
<v Speaker 4>ahead of earnings coming this week. Amazon also softer C

0:21:38.000 --> 0:21:42.359
<v Speaker 4>three AI, an AI name that has been downgraded, not

0:21:42.720 --> 0:21:45.800
<v Speaker 4>for anything reasons to do with artificial intelligence, Caro, simply

0:21:45.880 --> 0:21:48.719
<v Speaker 4>to do with macro and fundamentals. And you wonder now

0:21:48.800 --> 0:21:51.119
<v Speaker 4>how much this market is getting a bit more realistic,

0:21:51.440 --> 0:21:53.960
<v Speaker 4>some of the momentum on the publicly traded AI names

0:21:53.960 --> 0:21:56.720
<v Speaker 4>at least kind of being taken out. Should we move on.

0:21:57.000 --> 0:21:58.720
<v Speaker 4>Here's what some of our guests on the show have

0:21:58.800 --> 0:22:01.639
<v Speaker 4>had to say about the rise of generative AI in

0:22:01.720 --> 0:22:04.360
<v Speaker 4>that space, both but for the sort of investing standpoint,

0:22:04.560 --> 0:22:06.520
<v Speaker 4>but also let's have a little thing about research too.

0:22:06.680 --> 0:22:07.160
<v Speaker 4>Have a listen.

0:22:08.160 --> 0:22:10.920
<v Speaker 14>Some of the best opportunities are are sitting right in

0:22:10.960 --> 0:22:11.439
<v Speaker 14>front of us.

0:22:11.560 --> 0:22:15.360
<v Speaker 15>AI I believe will be the third largest compute revolution

0:22:15.520 --> 0:22:16.920
<v Speaker 15>that we've seen in our generation.

0:22:17.080 --> 0:22:19.920
<v Speaker 4>So we think the biggest opportunity and the safest place

0:22:19.960 --> 0:22:23.040
<v Speaker 4>to deploy these type of technology is inside the enterprise itself.

0:22:23.119 --> 0:22:25.960
<v Speaker 6>We'll see more of that AI to go into traditional

0:22:26.040 --> 0:22:28.280
<v Speaker 6>industries and helping them move faster and be more efficient.

0:22:28.400 --> 0:22:31.880
<v Speaker 5>AI is global, it's not something local. It's not a fan.

0:22:32.320 --> 0:22:35.199
<v Speaker 5>It's going to be here and it is affecting all

0:22:35.240 --> 0:22:35.480
<v Speaker 5>of us.

0:22:35.720 --> 0:22:37.600
<v Speaker 4>This space is emerging so fast.

0:22:37.680 --> 0:22:38.960
<v Speaker 16>Frankly, it's very hard at track.

0:22:39.280 --> 0:22:40.600
<v Speaker 4>Even from an investment perspective.

0:22:40.720 --> 0:22:45.240
<v Speaker 15>There's never like one very obvious clear answer when you're

0:22:45.240 --> 0:22:48.280
<v Speaker 15>getting into the weeds of how this technology can affect people.

0:22:48.440 --> 0:22:51.399
<v Speaker 15>I'm a huge fan of making sure that the government

0:22:51.480 --> 0:22:54.640
<v Speaker 15>authorities work closely with the industry.

0:22:56.119 --> 0:22:59.000
<v Speaker 3>Well, we've got yet more insight, this time from a

0:22:59.280 --> 0:23:03.280
<v Speaker 3>heavy backe see backed player in the space already making things,

0:23:03.359 --> 0:23:04.520
<v Speaker 3>creating things in the real world.

0:23:04.760 --> 0:23:06.359
<v Speaker 5>Chris valence Uler is with our.

0:23:06.280 --> 0:23:09.679
<v Speaker 3>CEO of the applied AI research company Runway. Basically, you're

0:23:09.680 --> 0:23:13.680
<v Speaker 3>all about human creativity, you're about films. We've already seen

0:23:13.800 --> 0:23:17.520
<v Speaker 3>what your own AI generalor AI being used within everything everywhere,

0:23:17.560 --> 0:23:18.080
<v Speaker 3>all at once.

0:23:18.800 --> 0:23:21.920
<v Speaker 5>How is it being used in a way that that surprises.

0:23:21.480 --> 0:23:22.920
<v Speaker 16>You many ways.

0:23:23.359 --> 0:23:26.160
<v Speaker 14>We started to see things that we're just literally impossible

0:23:26.200 --> 0:23:29.280
<v Speaker 14>to do for now being possible with these technologies. I

0:23:29.320 --> 0:23:32.000
<v Speaker 14>think we're still very early to understand the full creative

0:23:32.040 --> 0:23:34.720
<v Speaker 14>potential of everything that will come. But yeah, you have

0:23:35.000 --> 0:23:37.920
<v Speaker 14>thoughts like everything about all once using Runway to added

0:23:37.960 --> 0:23:41.040
<v Speaker 14>some scenes in there, you have musicians and artists taking

0:23:41.200 --> 0:23:43.200
<v Speaker 14>like really the technology to the next level, which we

0:23:43.280 --> 0:23:45.119
<v Speaker 14>think it's really the right thing to do, which is

0:23:45.440 --> 0:23:48.200
<v Speaker 14>start experimenting and exploring more with these capacities.

0:23:48.560 --> 0:23:48.800
<v Speaker 12>You have.

0:23:48.960 --> 0:23:51.920
<v Speaker 3>Of course all of this excitement euphoria, there's also a

0:23:51.960 --> 0:23:54.560
<v Speaker 3>lot of nerves, particularly around people who worry that their

0:23:54.600 --> 0:23:57.800
<v Speaker 3>own are their own imaging is being used to train

0:23:57.880 --> 0:24:01.440
<v Speaker 3>Aiyes on, how are you squaring that circle?

0:24:01.440 --> 0:24:02.879
<v Speaker 5>Because it's a difficult one to navigate.

0:24:03.119 --> 0:24:05.920
<v Speaker 14>Yeah, I know, and we've always thought about that in

0:24:06.000 --> 0:24:08.879
<v Speaker 14>a very particular, interesting different way. I come from on

0:24:09.040 --> 0:24:11.720
<v Speaker 14>our distant background, and so I have deep empathy for

0:24:11.920 --> 0:24:14.800
<v Speaker 14>those arties and those creatives who are asking themselves what's

0:24:14.800 --> 0:24:16.359
<v Speaker 14>going to happen next with this technology?

0:24:16.760 --> 0:24:18.960
<v Speaker 16>I think, I think to remind ourselves is that we're.

0:24:18.800 --> 0:24:20.879
<v Speaker 14>Still very early, and what we need to do is

0:24:21.000 --> 0:24:23.280
<v Speaker 14>open the conversation to have more people come in and

0:24:23.440 --> 0:24:26.119
<v Speaker 14>understand how you're going to start leveraging this technology in

0:24:26.160 --> 0:24:29.080
<v Speaker 14>your art practice. I think that for me is really important,

0:24:29.119 --> 0:24:31.280
<v Speaker 14>and I'm something we practicing runway kind of like from

0:24:31.320 --> 0:24:32.320
<v Speaker 14>the very beginning.

0:24:33.359 --> 0:24:37.560
<v Speaker 4>Chris, your Gentoo system is still on a witless basis, right,

0:24:37.560 --> 0:24:39.119
<v Speaker 4>I know a lot of folks that I've spoken to

0:24:39.119 --> 0:24:41.720
<v Speaker 4>about this way are keen to get access. But the

0:24:41.840 --> 0:24:45.160
<v Speaker 4>reality is, you know, text to video it generates about

0:24:45.200 --> 0:24:48.440
<v Speaker 4>three seconds, and I wondered how much you're emphasizing the

0:24:48.560 --> 0:24:51.240
<v Speaker 4>kind of early stage that this is In three seconds.

0:24:51.320 --> 0:24:53.640
<v Speaker 4>Not a lot of contents generate using the tool.

0:24:53.880 --> 0:24:55.840
<v Speaker 16>I agree three seconds is not enough.

0:24:56.320 --> 0:25:00.160
<v Speaker 14>We already have fifteen second like long support Engen, you're

0:25:00.200 --> 0:25:02.760
<v Speaker 14>working towards including and adding more to that. I think

0:25:02.760 --> 0:25:04.760
<v Speaker 14>the reason we released with three seconds is we have

0:25:04.880 --> 0:25:07.280
<v Speaker 14>to make sure that more people can get their hands

0:25:07.440 --> 0:25:10.920
<v Speaker 14>on the research, on the product, on this new way

0:25:11.000 --> 0:25:11.720
<v Speaker 14>of creating.

0:25:11.440 --> 0:25:14.159
<v Speaker 16>Content and really have thousands of people using it, and

0:25:14.280 --> 0:25:15.439
<v Speaker 16>so the amount of.

0:25:15.440 --> 0:25:17.879
<v Speaker 14>Feedback we've gotten to improve the quality of the model

0:25:17.920 --> 0:25:20.440
<v Speaker 14>the experience as well. I think text to videos one

0:25:20.480 --> 0:25:23.600
<v Speaker 14>of many modes of using Gen two actually has eight

0:25:23.640 --> 0:25:28.080
<v Speaker 14>different modes. Today release the mobile app for the first

0:25:28.080 --> 0:25:31.680
<v Speaker 14>time ever, you can try Gen one actually on your iPhone,

0:25:32.080 --> 0:25:34.280
<v Speaker 14>and so there's so many things yet to be explored

0:25:34.680 --> 0:25:37.160
<v Speaker 14>and discovered here that for us really just making sure

0:25:37.160 --> 0:25:38.560
<v Speaker 14>that we could put it in the hands of more

0:25:38.880 --> 0:25:39.600
<v Speaker 14>creatives out there.

0:25:40.520 --> 0:25:43.240
<v Speaker 4>I was listening to Noam Shazir, the CEO of character

0:25:43.280 --> 0:25:45.879
<v Speaker 4>Ai on the No Prize podcast the other day, and

0:25:46.000 --> 0:25:49.520
<v Speaker 4>he faces a similar debate, Right, how do you onboard

0:25:49.720 --> 0:25:52.440
<v Speaker 4>users and grow the user base and then in the

0:25:52.560 --> 0:25:56.240
<v Speaker 4>future monetize And I wonder how that equation looks for

0:25:56.320 --> 0:25:58.800
<v Speaker 4>you as well, the focus on kind of making money

0:25:59.000 --> 0:26:02.080
<v Speaker 4>or just grow the number of users and investing in

0:26:02.160 --> 0:26:03.760
<v Speaker 4>the infrastructure needed to support it.

0:26:04.119 --> 0:26:07.320
<v Speaker 14>I think it's important that remember that we're very early

0:26:07.440 --> 0:26:10.200
<v Speaker 14>on the journey of both value capture and one of

0:26:10.200 --> 0:26:13.320
<v Speaker 14>the station industry wide, and so making sure that you

0:26:13.440 --> 0:26:15.640
<v Speaker 14>work with as many people and as many companies as

0:26:15.720 --> 0:26:19.040
<v Speaker 14>you can will help you on tab possible value captures.

0:26:19.320 --> 0:26:22.119
<v Speaker 14>I think overall, where we're starting to digest the initial

0:26:22.160 --> 0:26:24.240
<v Speaker 14>stages of that and for us is really making sure

0:26:24.240 --> 0:26:26.000
<v Speaker 14>that we're going to keep building the research and the

0:26:26.080 --> 0:26:29.840
<v Speaker 14>foundational effort to build better models and more safe models

0:26:29.880 --> 0:26:30.240
<v Speaker 14>every time.

0:26:31.280 --> 0:26:33.480
<v Speaker 4>Hey Caro, I think back to when Sonia Juang of

0:26:33.560 --> 0:26:36.920
<v Speaker 4>Sequoia is on the show a Venture Capitalist explaining why

0:26:37.560 --> 0:26:40.800
<v Speaker 4>she sees potential here, you know, think about one's ability

0:26:40.920 --> 0:26:44.000
<v Speaker 4>to dream up anything and use the generative tool to

0:26:44.080 --> 0:26:46.720
<v Speaker 4>just create your own video. That's where the vcs seemed

0:26:46.720 --> 0:26:48.480
<v Speaker 4>to be wanting to put their money.

0:26:48.440 --> 0:26:51.800
<v Speaker 3>To augment humanity, not to come against it at the moment.

0:26:51.920 --> 0:26:54.159
<v Speaker 3>But Chris, I turned to you and think about how

0:26:54.359 --> 0:26:56.840
<v Speaker 3>enthusiastics certain vcs have been around you. I think a

0:26:56.920 --> 0:27:00.560
<v Speaker 3>CO two Lux Capital for Lie's. You've got a lot

0:27:00.600 --> 0:27:03.680
<v Speaker 3>of money come in your direction. Are you turning it away?

0:27:03.840 --> 0:27:06.080
<v Speaker 3>Are you thinking about raising funds opportunistically?

0:27:06.560 --> 0:27:08.840
<v Speaker 14>So we started Runway like four or five years ago,

0:27:08.880 --> 0:27:11.200
<v Speaker 14>I mean working on jogging models and creative tools for

0:27:11.240 --> 0:27:13.680
<v Speaker 14>the last eight years or so. When we started, it

0:27:13.760 --> 0:27:16.359
<v Speaker 14>was hard. Jenneyvi I wasn't really a thing, and people

0:27:16.480 --> 0:27:18.800
<v Speaker 14>told us we were crazy, Like Jenndyvi, I was never

0:27:18.880 --> 0:27:19.440
<v Speaker 14>going to be a thing.

0:27:19.880 --> 0:27:21.680
<v Speaker 5>Really, I did as little as four years.

0:27:21.760 --> 0:27:23.480
<v Speaker 16>Yeah, four years. I will be broiled at Chris. This

0:27:23.600 --> 0:27:24.280
<v Speaker 16>is not a thing.

0:27:24.359 --> 0:27:26.480
<v Speaker 14>JENNEYV is not a market And so the one thing

0:27:26.560 --> 0:27:28.000
<v Speaker 14>that I think has changed now is I don't have

0:27:28.080 --> 0:27:30.480
<v Speaker 14>to convince more people that this is worth paying attention to.

0:27:30.760 --> 0:27:33.680
<v Speaker 14>That's that's for sure. But we're very fortunate to be

0:27:34.080 --> 0:27:36.760
<v Speaker 14>able to work with investors that believed in that very

0:27:36.800 --> 0:27:39.800
<v Speaker 14>early on, where perhaps they're wandering as much proof points

0:27:40.400 --> 0:27:42.240
<v Speaker 14>and it's a long term bad. But I go back

0:27:42.280 --> 0:27:43.680
<v Speaker 14>to the mentioned before, it's still.

0:27:43.600 --> 0:27:45.200
<v Speaker 4>Very early, and a lot of one need to be

0:27:45.280 --> 0:27:46.200
<v Speaker 4>built around.

0:27:45.960 --> 0:27:48.200
<v Speaker 14>The industry at large is still yet to be built,

0:27:48.760 --> 0:27:50.760
<v Speaker 14>and so there's a lot of opportunities for more investors

0:27:50.800 --> 0:27:54.359
<v Speaker 14>to invest in more kind of likes in you can't

0:27:54.359 --> 0:27:57.359
<v Speaker 14>really speak about like fundraising, but I think the industry

0:27:57.400 --> 0:27:59.520
<v Speaker 14>at large will will continue to grow very very.

0:27:59.480 --> 0:28:03.040
<v Speaker 4>Fast, all right, Chris Balezuela, see a runway. Good to

0:28:03.080 --> 0:28:06.360
<v Speaker 4>see David Cumming on the show. Keep us updated. Now

0:28:06.520 --> 0:28:08.600
<v Speaker 4>when this one physics teacher isn't in the middle of

0:28:08.680 --> 0:28:11.359
<v Speaker 4>a physics lesson, he's in the middle of building one

0:28:11.400 --> 0:28:14.800
<v Speaker 4>of the world's biggest free AI training data sets. His

0:28:14.960 --> 0:28:16.240
<v Speaker 4>Bloomberg Zaggie Cantrell with.

0:28:16.280 --> 0:28:21.680
<v Speaker 17>More Luranza's time DAI one came out and I was

0:28:21.800 --> 0:28:26.400
<v Speaker 17>instantly wow, Wow, this is so extremely powerful, Like now

0:28:26.800 --> 0:28:31.400
<v Speaker 17>we can draw images from text and this will change everything.

0:28:31.600 --> 0:28:35.199
<v Speaker 17>And I instantly understood that if this is like centralized

0:28:35.240 --> 0:28:38.360
<v Speaker 17>to one, two or three companies, this will have really

0:28:38.600 --> 0:28:40.400
<v Speaker 17>bad effects for society.

0:28:40.560 --> 0:28:43.040
<v Speaker 18>We've taught for months about the benefits and pitfalls of

0:28:43.200 --> 0:28:46.200
<v Speaker 18>artificial intelligence, but what we talked a lot less about

0:28:46.400 --> 0:28:49.160
<v Speaker 18>is that these AI products are built on decades of

0:28:49.320 --> 0:28:52.840
<v Speaker 18>data from across the Internet. One data set, which has

0:28:52.880 --> 0:28:56.640
<v Speaker 18>been used to train image generators Stable Diffusion and Google's

0:28:56.680 --> 0:28:58.280
<v Speaker 18>Imagen is called.

0:28:58.160 --> 0:28:59.080
<v Speaker 4>Lion five B.

0:29:00.080 --> 0:29:02.480
<v Speaker 18>Lion five B was created by a team of hobbyists,

0:29:02.560 --> 0:29:05.240
<v Speaker 18>including a high school student in London and a high

0:29:05.280 --> 0:29:09.320
<v Speaker 18>school teacher in Hamburg. Lyon is built on open source data.

0:29:09.680 --> 0:29:12.560
<v Speaker 18>It scrapes public images from across the web and anyone

0:29:12.640 --> 0:29:16.280
<v Speaker 18>can see what's in it. Stability AI, the company behind

0:29:16.360 --> 0:29:19.920
<v Speaker 18>Stable Diffusion, is now seeking a four billion dollar valuation

0:29:20.400 --> 0:29:23.040
<v Speaker 18>thanks in a large part to the free data from Lyon.

0:29:23.360 --> 0:29:29.880
<v Speaker 17>I think it's really important for this technology, the models

0:29:29.960 --> 0:29:34.960
<v Speaker 17>we train, the data sets we produce to stay openly accessible.

0:29:35.080 --> 0:29:37.720
<v Speaker 18>But after discovering that their work was used to train

0:29:37.880 --> 0:29:42.240
<v Speaker 18>Stable Diffusion, artists are now suing Stability. Lyon is cited

0:29:42.280 --> 0:29:45.160
<v Speaker 18>in these suits, but not as a defendant. It's still

0:29:45.160 --> 0:29:48.680
<v Speaker 18>an open question if these artists work, or any images

0:29:48.760 --> 0:29:51.560
<v Speaker 18>that are publicly available online a fair game for these

0:29:51.640 --> 0:29:55.000
<v Speaker 18>data sets. An answer may come soon with the European

0:29:55.120 --> 0:29:59.160
<v Speaker 18>Union's AI Act, a government's first ever serious effort to

0:29:59.280 --> 0:30:01.080
<v Speaker 18>regulate our ti official intelligence.

0:30:01.560 --> 0:30:07.320
<v Speaker 4>If you want society to embrace technology and to trust technology,

0:30:07.480 --> 0:30:10.760
<v Speaker 4>you need to have that social contract with society.

0:30:10.920 --> 0:30:15.160
<v Speaker 18>The generative AI boom has also generated calls to ensure

0:30:15.240 --> 0:30:20.880
<v Speaker 18>that companies disclose what images train their machines. Models like Openaies,

0:30:21.000 --> 0:30:24.440
<v Speaker 18>Daly Too, and chat GBT, for example, have not really

0:30:24.520 --> 0:30:29.600
<v Speaker 18>shared any details about their databases. While such regulation could

0:30:29.720 --> 0:30:33.320
<v Speaker 18>be a win for artists and creators, advocates for open

0:30:33.400 --> 0:30:37.360
<v Speaker 18>source data sets believe over regulation will only benefit big

0:30:37.440 --> 0:30:38.320
<v Speaker 18>tech in the long run.

0:30:38.520 --> 0:30:42.360
<v Speaker 17>If we try to slow things down and over regulate,

0:30:42.520 --> 0:30:46.760
<v Speaker 17>there's a big danger that in the end a few

0:30:47.080 --> 0:30:54.440
<v Speaker 17>big corporate players can afford to fulfill all formal requirements,

0:30:54.720 --> 0:30:59.440
<v Speaker 17>and in the end this technology and all data that

0:30:59.640 --> 0:31:04.240
<v Speaker 17>flows through it, will it be monopolized or at least

0:31:04.520 --> 0:31:05.800
<v Speaker 17>highly centralized.

0:31:07.480 --> 0:31:10.400
<v Speaker 16>And I see this as the real danger.

0:31:10.720 --> 0:31:13.320
<v Speaker 18>As AI data sets and the rules around them are

0:31:13.480 --> 0:31:17.600
<v Speaker 18>being developed in tandem, the question remains how closely should

0:31:17.640 --> 0:31:19.400
<v Speaker 18>we regulate what goes into them?

0:31:21.880 --> 0:31:25.360
<v Speaker 4>That was the latest from Bloomberg Zaggie count out of Germany. Now,

0:31:25.440 --> 0:31:29.120
<v Speaker 4>the CEO of NBC Universal is leaving after admitting to

0:31:29.200 --> 0:31:33.440
<v Speaker 4>an inappropriate relationship with an employee. In a statement after

0:31:33.480 --> 0:31:37.440
<v Speaker 4>an investigation, Jeff Shell said he deeply regrets the incident.

0:31:37.520 --> 0:31:40.840
<v Speaker 4>He served as CEO since January twenty twenty and worked

0:31:40.880 --> 0:31:44.440
<v Speaker 4>at NBC Universal parent Comcast for almost two decades. A

0:31:44.520 --> 0:31:47.040
<v Speaker 4>replacement has not yet been announced.

0:31:47.080 --> 0:31:50.160
<v Speaker 3>Caroline and just sticking with media, just check out the

0:31:50.240 --> 0:31:54.120
<v Speaker 3>market capitalization hit to Fox today. Seven hundred million dollars

0:31:54.160 --> 0:31:56.080
<v Speaker 3>has been lost as it's down four percent.

0:31:56.200 --> 0:31:58.800
<v Speaker 5>Why but as parting ways with Taker, Carlson.

0:31:58.480 --> 0:32:00.400
<v Speaker 3>Seems to be the real catalyst of the news, it's

0:32:00.480 --> 0:32:02.920
<v Speaker 3>most popular primetime host we know, also the source of

0:32:03.360 --> 0:32:07.240
<v Speaker 3>repeated controversy over his statements and everything from election fairness

0:32:07.360 --> 0:32:11.400
<v Speaker 3>to LGBTQ rights. We currently see also plenty more news

0:32:11.440 --> 0:32:12.400
<v Speaker 3>coming from the medial world.

0:32:12.400 --> 0:32:14.040
<v Speaker 5>We're going to dig into that in a little bit.

0:32:14.200 --> 0:32:16.040
<v Speaker 5>But meanwhile, coming up, we're going to dig in more to.

0:32:16.160 --> 0:32:19.480
<v Speaker 3>Artificial intelligence, of course, and its impact on wealth management.

0:32:19.680 --> 0:32:21.760
<v Speaker 3>We're going to be joined by Sarah Hoffman, vice president

0:32:21.840 --> 0:32:24.480
<v Speaker 3>of AI Machine Learning Research at Fidelity Investments.

0:32:24.560 --> 0:32:26.160
<v Speaker 5>That's next, listen Bloomberg.

0:32:42.080 --> 0:32:45.080
<v Speaker 4>Time now for the VC roundup. Aerodyne Group, a Malaysian

0:32:45.240 --> 0:32:48.520
<v Speaker 4>drone services company, has picked City Group for a funding

0:32:48.640 --> 0:32:51.600
<v Speaker 4>round ahead of its planned IPO. According to sources, the

0:32:51.680 --> 0:32:54.400
<v Speaker 4>startup seeking to raise up to two hundred million dollars

0:32:54.560 --> 0:32:57.640
<v Speaker 4>and aims to make its first close in midyear, ahead

0:32:57.680 --> 0:33:01.640
<v Speaker 4>of an IPO in twenty twenty four or five. And

0:33:01.760 --> 0:33:05.760
<v Speaker 4>Schroeder's a shareholder in the UK financial technology company Revolute,

0:33:06.080 --> 0:33:09.520
<v Speaker 4>has cut the value of its stake by forty six percent.

0:33:09.640 --> 0:33:12.080
<v Speaker 4>This is the second right down to hit the company

0:33:12.160 --> 0:33:16.600
<v Speaker 4>after the fintech's firms auditors raised questions on its twenty

0:33:16.720 --> 0:33:17.880
<v Speaker 4>twenty one revenue.

0:33:18.120 --> 0:33:19.560
<v Speaker 3>Caroline and we're going to stick a bit on the

0:33:19.600 --> 0:33:21.360
<v Speaker 3>world of fintech, but we're going to focus in on

0:33:21.440 --> 0:33:24.880
<v Speaker 3>the impact of artificial intelligence on it because we've talked

0:33:24.880 --> 0:33:27.680
<v Speaker 3>about perhaps how AI is affecting yours and my life

0:33:27.720 --> 0:33:30.960
<v Speaker 3>in general generative AI, but what about wealth management in particular.

0:33:31.280 --> 0:33:32.640
<v Speaker 3>We've got a bit of an optimist in the house,

0:33:32.640 --> 0:33:35.160
<v Speaker 3>Sarah Hoffman, and vice president of AI and Machine learning

0:33:35.240 --> 0:33:38.640
<v Speaker 3>research over at Fidelity Investments, And really what takes us

0:33:38.720 --> 0:33:41.240
<v Speaker 3>about some of your thoughts in AI and wealth management.

0:33:41.320 --> 0:33:43.560
<v Speaker 3>There is the way in which you think chat, GBT

0:33:43.880 --> 0:33:46.480
<v Speaker 3>or those sorts of large language models could assist with

0:33:46.640 --> 0:33:48.720
<v Speaker 3>upgrading our approach to financial literacy.

0:33:49.120 --> 0:33:50.160
<v Speaker 5>How do you see that happening?

0:33:51.560 --> 0:33:56.200
<v Speaker 13>Yeah, so obviously the financial world has become so complicated

0:33:56.600 --> 0:33:58.960
<v Speaker 13>and would really want more people to be able to

0:33:59.160 --> 0:34:02.640
<v Speaker 13>access and under stand finances and one thing that I

0:34:02.720 --> 0:34:05.160
<v Speaker 13>could see happening with generative AI. I mean, we've been

0:34:05.200 --> 0:34:09.520
<v Speaker 13>talking about per personalization for so long, but this technology

0:34:09.640 --> 0:34:13.359
<v Speaker 13>really takes personalization to the next level when it comes

0:34:13.440 --> 0:34:17.399
<v Speaker 13>to any type of education, but specifically financial literacy, which

0:34:17.480 --> 0:34:20.960
<v Speaker 13>is so complicated. You can ask this technology, you know,

0:34:21.120 --> 0:34:23.920
<v Speaker 13>explain this to me as though I'm a fourth grader,

0:34:24.480 --> 0:34:27.120
<v Speaker 13>Or if you're somebody who's very into sports, you could say,

0:34:27.160 --> 0:34:29.839
<v Speaker 13>explain this to me with a sports metaphor we can

0:34:30.000 --> 0:34:32.759
<v Speaker 13>all really learn in our own way now, which is

0:34:32.880 --> 0:34:33.800
<v Speaker 13>super powerful.

0:34:34.239 --> 0:34:36.120
<v Speaker 3>Yeah, I've already been doing it to explain it to

0:34:36.200 --> 0:34:38.480
<v Speaker 3>my five year old I'm interested in those serah As

0:34:38.520 --> 0:34:42.440
<v Speaker 3>to how much information you talk about personalization, how much

0:34:42.480 --> 0:34:45.640
<v Speaker 3>are people willing to share their own financial information and

0:34:46.480 --> 0:34:48.360
<v Speaker 3>asking for examples and advice?

0:34:48.400 --> 0:34:50.960
<v Speaker 5>Shall we say it by chat ChiPT? How right is

0:34:51.040 --> 0:34:52.359
<v Speaker 5>that to do it at the moment as well?

0:34:54.120 --> 0:34:57.600
<v Speaker 13>Right now, I would not recommend using it for advice,

0:34:57.840 --> 0:35:01.800
<v Speaker 13>but I do believe this could be great before you

0:35:01.960 --> 0:35:06.719
<v Speaker 13>meet with a financial representative. So if a customer could

0:35:07.160 --> 0:35:10.200
<v Speaker 13>really learn on their own before that meeting, and even

0:35:10.239 --> 0:35:13.520
<v Speaker 13>the financial representative could use these tools before the meeting,

0:35:13.880 --> 0:35:16.440
<v Speaker 13>I think we can have a much better, more informed

0:35:16.480 --> 0:35:21.040
<v Speaker 13>discussion with better questions where even though I think the

0:35:21.160 --> 0:35:24.880
<v Speaker 13>human is still essential, everybody's gaining and coming in a

0:35:25.440 --> 0:35:25.919
<v Speaker 13>better place.

0:35:27.280 --> 0:35:30.239
<v Speaker 4>Sarah, I'm interested in you and what you're up to

0:35:30.360 --> 0:35:33.560
<v Speaker 4>at Fidelity. Give me a typical day in the life

0:35:33.640 --> 0:35:36.719
<v Speaker 4>of Sarah Hoffman working in the field of machine learning

0:35:36.760 --> 0:35:37.120
<v Speaker 4>and AI.

0:35:37.239 --> 0:35:43.279
<v Speaker 13>But at Fidelity, I focus specifically on what's coming with

0:35:43.480 --> 0:35:48.040
<v Speaker 13>technology over the next five years. Fidelity is a company

0:35:48.120 --> 0:35:51.160
<v Speaker 13>that really wants to make sure we are ready for

0:35:51.280 --> 0:35:54.920
<v Speaker 13>what's coming across our business units, and so at Fidelity

0:35:55.080 --> 0:35:59.680
<v Speaker 13>we focus specifically on building the next generation digital platform.

0:36:00.080 --> 0:36:04.760
<v Speaker 13>I'll also focusing on the human element of the industry,

0:36:04.800 --> 0:36:07.839
<v Speaker 13>which we believe is very important, and so my role

0:36:07.880 --> 0:36:11.000
<v Speaker 13>specifically is really making sure we are aware of the

0:36:11.080 --> 0:36:12.000
<v Speaker 13>trends that are coming.

0:36:13.200 --> 0:36:15.759
<v Speaker 4>Would you say that you work closely more internally with

0:36:15.880 --> 0:36:18.840
<v Speaker 4>your technology teams or how close are you also working

0:36:19.360 --> 0:36:21.640
<v Speaker 4>with the investment teams to basically say, look, this is

0:36:21.719 --> 0:36:23.880
<v Speaker 4>a tool that we could use and here's how we

0:36:24.000 --> 0:36:25.080
<v Speaker 4>might potentially use it.

0:36:26.400 --> 0:36:26.560
<v Speaker 2>Yeah.

0:36:26.600 --> 0:36:30.680
<v Speaker 13>So I write research papers and give presentations and talks

0:36:30.719 --> 0:36:34.719
<v Speaker 13>and have dialogue across the company across roles and for

0:36:35.840 --> 0:36:37.440
<v Speaker 13>both of these types of roles.

0:36:37.200 --> 0:36:40.600
<v Speaker 3>And how much so is everybody chat GIPT to help

0:36:40.640 --> 0:36:41.920
<v Speaker 3>write those research papers now.

0:36:41.920 --> 0:36:45.680
<v Speaker 13>Sarah, I've tried, I would right now. One of the

0:36:46.800 --> 0:36:50.080
<v Speaker 13>main issues with tools like chat GPT is that they

0:36:50.239 --> 0:36:54.520
<v Speaker 13>really don't have current information, so you can't really rely

0:36:54.719 --> 0:36:57.200
<v Speaker 13>on it for if you're looking for trends or anything

0:36:57.719 --> 0:37:01.080
<v Speaker 13>that's it doesn't understand or know about what's happening right now.

0:37:01.480 --> 0:37:05.400
<v Speaker 13>But it's still useful for if you're trying to figure

0:37:05.440 --> 0:37:09.359
<v Speaker 13>out a nice structure or even brainstorming. You know, how

0:37:09.480 --> 0:37:12.880
<v Speaker 13>can generative AI be useful in wealth management? It's a

0:37:13.000 --> 0:37:17.400
<v Speaker 13>useful brainstorming tool, but because it doesn't know today, I

0:37:17.440 --> 0:37:21.080
<v Speaker 13>wouldn't recommend it to trust it blindly. One nice thing

0:37:21.120 --> 0:37:23.520
<v Speaker 13>I would add about using it for brainstorming is that

0:37:24.280 --> 0:37:28.000
<v Speaker 13>today it could produce things that you cannot trust. And

0:37:28.200 --> 0:37:30.759
<v Speaker 13>when it comes to brainstorming and trying to find a

0:37:30.880 --> 0:37:36.120
<v Speaker 13>novel insight, it doesn't actually matter if you can't verify

0:37:36.200 --> 0:37:38.560
<v Speaker 13>the results, as long as it helps you think more

0:37:38.640 --> 0:37:42.080
<v Speaker 13>creatively and think differently. So to me, brainstorming is actually

0:37:42.160 --> 0:37:43.880
<v Speaker 13>a perfect use case for these tools.

0:37:44.120 --> 0:37:44.400
<v Speaker 4>Sarah.

0:37:44.440 --> 0:37:47.439
<v Speaker 3>It was interesting we just had Chris Valenzuela on who's

0:37:47.480 --> 0:37:50.800
<v Speaker 3>the CEO of Runway, thinking about generative AI and the

0:37:50.880 --> 0:37:54.479
<v Speaker 3>world of creation and particularly in images. But he said

0:37:54.520 --> 0:37:56.360
<v Speaker 3>when four or five years ago he was speaking to

0:37:56.480 --> 0:37:57.400
<v Speaker 3>vcs and they were like.

0:37:57.840 --> 0:37:59.800
<v Speaker 5>Generative AI is not a thing. It's not going to

0:37:59.840 --> 0:38:00.359
<v Speaker 5>be thing.

0:38:01.000 --> 0:38:02.960
<v Speaker 3>Did you, as someone who has to look at what's

0:38:03.040 --> 0:38:05.640
<v Speaker 3>the trend in four or five years, see this coming?

0:38:07.600 --> 0:38:08.920
<v Speaker 5>So I saw this coming.

0:38:09.000 --> 0:38:12.200
<v Speaker 13>I would save me personally with GPT three, the previous

0:38:12.360 --> 0:38:15.800
<v Speaker 13>version of chat GPT which was released in twenty twenty,

0:38:17.160 --> 0:38:19.919
<v Speaker 13>it was so much better than and your generative AI

0:38:20.040 --> 0:38:23.120
<v Speaker 13>existed before, but this was so much better than anything

0:38:23.200 --> 0:38:27.320
<v Speaker 13>we had seen before that you know that I and

0:38:27.440 --> 0:38:30.319
<v Speaker 13>many others were, you know, looking at you know, how can,

0:38:30.560 --> 0:38:30.879
<v Speaker 13>what can?

0:38:31.040 --> 0:38:31.759
<v Speaker 5>What does this mean?

0:38:32.040 --> 0:38:35.439
<v Speaker 13>Basically, the conversations that started in November with everybody else

0:38:35.800 --> 0:38:38.800
<v Speaker 13>really started back in twenty twenty, twenty twenty one with

0:38:38.920 --> 0:38:42.279
<v Speaker 13>GPT three. For those of us in the AI world.

0:38:42.320 --> 0:38:45.440
<v Speaker 3>Sarah Hoffmann me thank you for audio advice and was

0:38:45.480 --> 0:38:47.600
<v Speaker 3>back to them. Vice president of AI and Machine Learning

0:38:47.640 --> 0:38:59.040
<v Speaker 3>Research every Fidelity Investments, there is quite the whirlwind. Immediate

0:38:59.080 --> 0:39:02.920
<v Speaker 3>departures today from Tucker Carlson departing Fox News immediately sending

0:39:02.960 --> 0:39:05.560
<v Speaker 3>Fox shares plunging, as we've already seen in the showdown

0:39:05.560 --> 0:39:07.560
<v Speaker 3>six hundred million dollars in terms of market cap.

0:39:07.760 --> 0:39:10.440
<v Speaker 5>We've also seen CNN star anchor Don Lemon.

0:39:10.320 --> 0:39:13.640
<v Speaker 3>Leaving after being under intense scrutiny following remarks all went

0:39:13.680 --> 0:39:17.239
<v Speaker 3>back in February about women and aging. Let's break all

0:39:17.280 --> 0:39:21.040
<v Speaker 3>of this down. I Meg's Felix Chillette extraordinary. Let's start

0:39:21.160 --> 0:39:24.799
<v Speaker 3>with Tucker Carlson. How much is this linked to settlements

0:39:24.880 --> 0:39:26.200
<v Speaker 3>with voting systems in the life.

0:39:26.480 --> 0:39:31.160
<v Speaker 19>I think it's definitely fallout from the dominion settlement. Rupert

0:39:31.239 --> 0:39:34.080
<v Speaker 19>Murdoch in the past has shown that during times of

0:39:34.160 --> 0:39:38.880
<v Speaker 19>controversy he's totally willing to get rid of talent. And

0:39:39.160 --> 0:39:42.040
<v Speaker 19>if you think back to the phone hacking scandal, closing

0:39:42.120 --> 0:39:44.799
<v Speaker 19>News of the World, getting rid of writers reporters left

0:39:44.840 --> 0:39:48.080
<v Speaker 19>and right, I think you know Murdoch has always felt

0:39:48.200 --> 0:39:50.759
<v Speaker 19>confident that he can replace the talent, even if it's

0:39:50.800 --> 0:39:54.160
<v Speaker 19>someone like Tucker Carlson, who's currently the top rated primetime

0:39:54.239 --> 0:39:56.919
<v Speaker 19>host for Fox News. You think back of when Fox

0:39:57.040 --> 0:40:01.440
<v Speaker 19>News got rid of Glenn Beck reread events, Meg and Kelly,

0:40:01.520 --> 0:40:03.680
<v Speaker 19>they're always this question, Oh, how are they going to recover?

0:40:04.200 --> 0:40:07.040
<v Speaker 19>And yet whoever they plug into those time slots always

0:40:07.080 --> 0:40:08.439
<v Speaker 19>seem to do quite well.

0:40:09.400 --> 0:40:12.120
<v Speaker 4>Felix, our colleagues at Bloomberg Intelligence have a react out

0:40:12.160 --> 0:40:14.760
<v Speaker 4>at pointing out Fox News two point two billion dollars

0:40:14.800 --> 0:40:17.400
<v Speaker 4>of EBIT DARR or seventy percent of profits. You can

0:40:17.440 --> 0:40:20.440
<v Speaker 4>see why there's that market reaction. CNN Don Lemon, what

0:40:20.520 --> 0:40:20.800
<v Speaker 4>do we know?

0:40:21.800 --> 0:40:25.080
<v Speaker 19>Don Lemon has been, you know, going from one controversy

0:40:25.120 --> 0:40:26.799
<v Speaker 19>to the next for the last couple of months. They

0:40:26.880 --> 0:40:29.520
<v Speaker 19>brought him back after he made these comments about Nicki

0:40:29.560 --> 0:40:33.120
<v Speaker 19>Haley that upset people. You know, the problem with Don

0:40:33.239 --> 0:40:36.400
<v Speaker 19>Lemon is not only is the generating negative headlines for CNN,

0:40:36.560 --> 0:40:40.239
<v Speaker 19>but also the ratings have been lousy. So combine those

0:40:40.280 --> 0:40:43.640
<v Speaker 19>two things. Chris Lick, who's overseeing CNN now for Warner

0:40:43.680 --> 0:40:47.080
<v Speaker 19>Brothers Discovery, has been under a lot of pressure. You know,

0:40:47.400 --> 0:40:51.000
<v Speaker 19>ratings have been way down ever since Donald Trump left

0:40:51.080 --> 0:40:54.520
<v Speaker 19>office for CNN, and so the fact that they would

0:40:54.560 --> 0:40:56.920
<v Speaker 19>make this switch, it almost seems surprising to me that

0:40:57.000 --> 0:40:58.440
<v Speaker 19>they haven't done this previously.

0:40:59.280 --> 0:41:01.960
<v Speaker 3>Felix Jalet with the inside track and what is a

0:41:02.000 --> 0:41:04.560
<v Speaker 3>whirlwinder headlines we'll let him get back to his analysis

0:41:04.640 --> 0:41:05.240
<v Speaker 3>of reporting.

0:41:05.760 --> 0:41:06.960
<v Speaker 5>We thank you so much.

0:41:07.280 --> 0:41:11.040
<v Speaker 3>Meanwhile, Oh, quite an extraordinary start to a Monday, and Ed,

0:41:11.160 --> 0:41:13.280
<v Speaker 3>I thank you for rolling with my rather horse voice.

0:41:13.360 --> 0:41:15.279
<v Speaker 3>I wasn't at partying, I'm afraid to say.

0:41:15.640 --> 0:41:18.240
<v Speaker 5>But that does it for this edition of Bloomberg Technology.

0:41:18.280 --> 0:41:21.200
<v Speaker 3>Tune in tomorrow for our gear up the coverage, your

0:41:21.239 --> 0:41:24.400
<v Speaker 3>coverage of RSA cybersecurity conference over in San Francisco.

0:41:24.440 --> 0:41:27.160
<v Speaker 5>We got the eighteen t COO among many more.

0:41:28.280 --> 0:41:32.160
<v Speaker 4>Yeah. Look, huge weeks of earnings, just megacap names coming left,

0:41:32.239 --> 0:41:33.959
<v Speaker 4>right and center. If you want to recap, don't forget.

0:41:34.040 --> 0:41:37.319
<v Speaker 4>We have the podcast on Bloomberg or other platforms where

0:41:37.320 --> 0:41:39.920
<v Speaker 4>you get your podcasts. So much to think on. This

0:41:40.080 --> 0:41:40.680
<v Speaker 4>is Bloomberg