WEBVTT - Tech Earnings and Bitcoin Rally

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<v Speaker 1>From Mahart.

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<v Speaker 2>We're Innovation, Money and Power Collie in Silicon Valley, NBN.

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<v Speaker 3>This is Bloomberg Technology with Caroline Hyde.

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<v Speaker 1>And Ed Ludlove.

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<v Speaker 4>I'm Parlinehider Bloomberg's World headquarters in New York.

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<v Speaker 5>And I'm Ed Ludlow in San Francisco. This is Bloomberg

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<v Speaker 5>Technology coming up.

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<v Speaker 4>Full earnings coverage ahead, we break down results from sales Force,

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<v Speaker 4>Snowflake Paramount to name.

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<v Speaker 5>But a few, plus Bitcoin pushes toward a record high

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<v Speaker 5>amid massive inflows into exchange traded funds. We'll get to

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<v Speaker 5>read on the state of digital currencies amid that rally, and.

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<v Speaker 4>Apple facing weak demand for the iPhone in China as

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<v Speaker 4>resellers slashed the price of the latest model. We'll discuss

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<v Speaker 4>that and so much more throughout the salbot. First, let's

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<v Speaker 4>check in on these markets, and it's a macro feel

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<v Speaker 4>to the day. We get that pceedflator, what is the

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<v Speaker 4>inflationary pressure that the Federal Reserve is looking at? Came

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<v Speaker 4>in bang in line with expectations, two point eight percent

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<v Speaker 4>year on year in terms of inflatory pressure. Right for

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<v Speaker 4>the Federal Reserve therefore to be pausing on any rate

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<v Speaker 4>cuts but we hold up about five ten percent on

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<v Speaker 4>the nasdacs and relief to the market. We're seeing tenure

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<v Speaker 4>yields come down some three four basis points in fact,

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<v Speaker 4>down across the curve, and I'm looking at a volatility

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<v Speaker 4>index of fear gauge that shrinks by less than a point.

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<v Speaker 4>We're at thirteen handle. Moving on and have a look

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<v Speaker 4>at what you were just outlining their ed Really where

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<v Speaker 4>the action has been is on the risk Asseler choice

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<v Speaker 4>of the technology show, which is Bitcoin.

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<v Speaker 6>We're up almost four.

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<v Speaker 4>Percent, sixty two sixty three thousand, let's call it. Remember

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<v Speaker 4>sixty nine thousand dollars is the previous record back in

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<v Speaker 4>November twenty twenty one.

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<v Speaker 6>Where are you looking on the micro so a.

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<v Speaker 5>Lot in the earnings context, but when it comes to

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<v Speaker 5>tech Snowflake is the big mover. It's down eighteen percent

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<v Speaker 5>or so in the session, but on track for its

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<v Speaker 5>biggest drop on record. Two pieces of news, really, Kevin Supman,

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<v Speaker 5>the CEO, is stepping down. He will be replaced by

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<v Speaker 5>ex Googler Shrida Ramaswami. But also the sales outlook that

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<v Speaker 5>they gave for the current period, even at the high

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<v Speaker 5>end of the range, it's like twenty million dollars below

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<v Speaker 5>what the street was expecting in terms of consensus, And

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<v Speaker 5>the story for Snowflake was sharp deceleration and growth in

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<v Speaker 5>twenty twenty three. They didn't do enough to say we're

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<v Speaker 5>on the upward trajectory moving forward into twenty twenty four.

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<v Speaker 5>There's a lot more happening as well. In the Arnie's

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<v Speaker 5>context's a kind of mixed bag of different companies that

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<v Speaker 5>will get to throughout the show. The first is Paramount

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<v Speaker 5>is actually up four point eight percent. Sales declined mid

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<v Speaker 5>single digits in the quarter gone ad weakness, but they

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<v Speaker 5>called it the AD slump is over, we bottomed out,

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<v Speaker 5>we're rebounding. We'll talk about it later in the program.

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<v Speaker 5>Hb's now down one percent. It's kind of traded a

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<v Speaker 5>bit choppy this morning. Look specifically at sales of PCs

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<v Speaker 5>to consumers. The street expected them to return to growth,

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<v Speaker 5>but sales fell one percent in that category. It's a

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<v Speaker 5>concern even though they're saying twenty twenty four will be

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<v Speaker 5>better on the customer or corporate side. Then salesforce is

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<v Speaker 5>actually up one point five percent. It's outlook for the

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<v Speaker 5>year suggests annual growth of full year fiscal twenty five

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<v Speaker 5>ten point eight percent. I want to go very specific

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<v Speaker 5>with the numbers, ten point eight percent. The reason that's

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<v Speaker 5>important is that they grew just above eleven percent last year.

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<v Speaker 5>So in other words, we expect decelerating growth. That's not

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<v Speaker 5>what the street wanted to hear. But we got a

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<v Speaker 5>first ever dividend and a buyback. How many times are

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<v Speaker 5>we going to keep saying that divvy buy back stocks

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<v Speaker 5>up one and a half.

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<v Speaker 4>Percent, And let's dig in therefore, with an expert who

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<v Speaker 4>is across all of those numbers ed and you bring

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<v Speaker 4>us the takeaways. Brody Ford was there with a closer

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<v Speaker 4>look at some of these results, and Brody, there does

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<v Speaker 4>seem to be this worry about the forecast front and center.

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<v Speaker 7>Yeah, everybody wants some more growth, there's no question. With

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<v Speaker 7>Snowflake in particular, they're always an interesting one because, unlike

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<v Speaker 7>a lot of these software companies that charge you five

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<v Speaker 7>ten year contracts so you can predict it pretty well,

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<v Speaker 7>they charge you based on how much you use the product,

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<v Speaker 7>kind of like AWS or an Azure, which means every earnings,

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<v Speaker 7>it's a little volatile. We're not sure what we're gonna

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<v Speaker 7>get and so this forecast, it made people feel anxious

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<v Speaker 7>because it showed that growth continue to decelerate. You mix

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<v Speaker 7>that with losing one of the most famous CEOs in

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<v Speaker 7>the industry, that's going to be a shakeup.

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<v Speaker 5>Okay, let's talk about salesforce. This is I just go

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<v Speaker 5>so nerdy on the details. I use MDL on the

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<v Speaker 5>Bloomberg terminal, and we're talking about a few basis points.

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<v Speaker 5>But my understanding, Brody, and you and I were talking

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<v Speaker 5>about this on the phone, is where do we find

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<v Speaker 5>the AI read through? We didn't you know they outperformed

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<v Speaker 5>in the quarter gone to end twenty twenty four fiscal

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<v Speaker 5>twenty four with like eleven point two percent growth, and

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<v Speaker 5>they're guiding us to ten point eight percent growth this year.

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<v Speaker 5>What is or what is not happening for salesforce right now?

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<v Speaker 7>Yeah, And it's funny because they are guiding to that

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<v Speaker 7>above ten percent number when it comes to the non

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<v Speaker 7>consulting revenue. When it comes to top line, their forecast

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<v Speaker 7>has slipped below that psychologue called ten percent mark, which

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<v Speaker 7>you know, all of a sudden, then you become a

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<v Speaker 7>value stock rather than a growth stock.

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<v Speaker 5>Salesforce.

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<v Speaker 7>The story they're telling is that AI is going to

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<v Speaker 7>buffet the need for a lot of their solutions. The

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<v Speaker 7>early stage one will be in their data products, data cloud, warehousing,

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<v Speaker 7>Tableau for analytics, and that did outperform, right, I mean,

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<v Speaker 7>they are seeing uptick there.

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<v Speaker 5>They say it's the.

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<v Speaker 7>Highest organic growth of any product they've had. But still

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<v Speaker 7>I think the AI impact on these numbers is relatively low,

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<v Speaker 7>and I think that's the case for a lot of

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<v Speaker 7>these application software makers. They want to tell an AI story,

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<v Speaker 7>but in reality, it's still very early days. It is

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<v Speaker 7>hard to quantify the exact impact at this point, even

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<v Speaker 7>if in the earnings call you're going to hear those

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<v Speaker 7>two letters over and over again.

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<v Speaker 4>We certainly are.

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<v Speaker 6>Brady Ford.

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<v Speaker 4>We thank you so much for bringing us the inside

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<v Speaker 4>track on both Snowfake Salesforce. Let's dig in with both

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<v Speaker 4>those companies and the broader ecosystem right now, of Lisa,

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<v Speaker 4>welcome Rebecca webtman CEO and principle of Valua, Technology analyst

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<v Speaker 4>firm providing research advisory services to leaders with a focus

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<v Speaker 4>on the value of technology. So talk to us about

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<v Speaker 4>the value proposition at Salesforce right now. From your perspective, Rebecca,

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<v Speaker 4>are the offering the right kind of offerings at the

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<v Speaker 4>right price point with the right focus on margin.

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<v Speaker 8>Sure, Caroline, thanks thanks for having me today.

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<v Speaker 2>So Salesforce I got the timing right with data Cloud right,

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<v Speaker 2>just as everyone recognizes that data and metadata is actually

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<v Speaker 2>what makes AI work. They've got data Cloud out production

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<v Speaker 2>and they're doing a lot today from a penetration perspective,

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<v Speaker 2>offering credits to customers to get out there and start

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<v Speaker 2>to adopt data cloud so they can start to experience

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<v Speaker 2>the benefits of AI. Salesforce has some runway in other

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<v Speaker 2>areas as well, and I think what we've seen too

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<v Speaker 2>in the past years they've.

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<v Speaker 8>Pushed to improve efficiency and improve.

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<v Speaker 2>Margins is offerings like the AWS marketplace and other more

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<v Speaker 2>self service things that should help them keep their cost

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<v Speaker 2>of sales under control as well.

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<v Speaker 4>It's interesting whenever I hear, for example, marketing coming my

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<v Speaker 4>way from a Salesforces or is about the safety the

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<v Speaker 4>using of your own proprietary data here, and that seems

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<v Speaker 4>to be the sale from Snowflake too. But sticking with Salesforce, ultimately,

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<v Speaker 4>what's your view on whether the incumbents win in this space.

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<v Speaker 4>The fact that they've already got the deals with so

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<v Speaker 4>many of these corporates that they're going to be the

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<v Speaker 4>ones that win out these AI offerings, or whether these

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<v Speaker 4>challenges that are coming up and being VC backed can

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<v Speaker 4>make some begin roads.

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<v Speaker 2>You know, it's interesting that you asked that, Caroline, because

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<v Speaker 2>we just stood a study asking people about whom they

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<v Speaker 2>would trust with their AI and what we found is

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<v Speaker 2>that it wasn't necessarily those established vendors. Buyers were more

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<v Speaker 2>likely to trust AI solutions that came back from organizations

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<v Speaker 2>that had traceable data and clear ethics and privacy policies,

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<v Speaker 2>not necessarily an established vendor.

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<v Speaker 8>So there's still a lot of room for innovators out there.

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<v Speaker 5>This is how I think about AI and salesforce. Right,

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<v Speaker 5>AI means they can charge more, they're more expensive premium products,

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<v Speaker 5>adds value to what they already do that did not

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<v Speaker 5>show up in their numbers. Do you agree with that?

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<v Speaker 2>I would agree with that, But I think too what

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<v Speaker 2>we're seeing is a penetration strategy for data cloud today

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<v Speaker 2>as customers need to make that leap into it. So

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<v Speaker 2>you see with the new marketing cloud offering where they

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<v Speaker 2>get data cloud credits, they're going to work on building

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<v Speaker 2>that up in true salesforce fashion, get them to try

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<v Speaker 2>and get excited about it and then really be able

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<v Speaker 2>to turn on the switch.

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<v Speaker 5>Oh, we know all about true Salesforce fashion, but here's

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<v Speaker 5>the reality. There's a company that grew mid twenty percent

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<v Speaker 5>range every year for a decade and it's going the

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<v Speaker 5>wrong way. Snowflake had a sharp deceleration in its growth

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<v Speaker 5>last year. It's not giving us evidence that it's turning around.

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<v Speaker 5>What's your conclusion on the corporate enterprise spending environment based

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<v Speaker 5>on the results that those companies gave.

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<v Speaker 2>Well, I think Snowflake made it pretty clear when they

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<v Speaker 2>said this is recovery, not rebound. We're looking at a

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<v Speaker 2>new era in correcting. On the software space. I do

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<v Speaker 2>think Salesforce has some runway with its other products like Slack.

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<v Speaker 2>There's still a big revenue opportunity there that they haven't

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<v Speaker 2>quite at.

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<v Speaker 5>Okay, so we have a change of leadership at Snowflake.

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<v Speaker 5>Does that excite you?

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<v Speaker 8>The market never likes the surprise change in CEOs.

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<v Speaker 2>Right, But I think too. Frank was brought in to

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<v Speaker 2>grow at a certain point, just like you did with Service. Now,

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<v Speaker 2>a streeter is a different person, and as we look

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<v Speaker 2>at Snowflake moving from just cloud storage to more of

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<v Speaker 2>an AI company. Certainly Shreeter has the chops and the

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<v Speaker 2>experience that make him a good.

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<v Speaker 8>Person in that spot.

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<v Speaker 5>All right, CEO and principle of Valoir, Rebecca Edam and

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<v Speaker 5>greats have you on the program. Really good wide range

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<v Speaker 5>of analysis on many different companies coming up on the program.

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<v Speaker 5>We're going to switch from the equity markets to bitcoin

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<v Speaker 5>risk asset of choice and crypto markets more broadly, we're

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<v Speaker 5>going to discuss all of that and more with Framework

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<v Speaker 5>Bench's Vance Spencer. That's neck, but there are other stocks

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<v Speaker 5>on the move, Carra.

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<v Speaker 6>There are and there are more earnings to come.

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<v Speaker 4>If you thought it was all over after the bell,

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<v Speaker 4>we're going to be looking at for what Dell has

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<v Speaker 4>to report.

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<v Speaker 6>We're up seven tenths of a percent ahead of those

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<v Speaker 6>numbers you.

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<v Speaker 4>Look back, and of course we've got the focus on HPE.

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<v Speaker 4>We've already had HPS you were running us through at

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<v Speaker 4>the start of the show. Currently at one point eight percent,

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<v Speaker 4>and I understand the CEO will be joining the network

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<v Speaker 4>tomorrow now. Soundhown Ai another darling in the AI spies,

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<v Speaker 4>up two hundred and twenty percent so far this year

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<v Speaker 4>for up another seven percent. Can this company deliver the

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<v Speaker 4>exuberance that we see factored into the share price from

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<v Speaker 4>New York, from San Francisco.

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<v Speaker 6>This is Bloomberg Technology.

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<v Speaker 4>Look, let's check on other risk assets today because they

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<v Speaker 4>are higher decidedly, so we are on a tear when

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<v Speaker 4>it comes to crypto.

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<v Speaker 6>Could we be eyeing the.

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<v Speaker 4>Sixty nine thousand dollars handle that we had previously at

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<v Speaker 4>record numbers for bitcoin currently training up at sixty three thousand,

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<v Speaker 4>as you'll see. But it's not just Bitcoin getting the love.

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<v Speaker 4>It's being spread through some of the other areas. I

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<v Speaker 4>think theoryum up significantly, up two point three on the day,

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<v Speaker 4>but we're hitting A three thousand, four hundred and sixty

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<v Speaker 4>five and other Layer one protocols. I think a Solana

0:11:07.120 --> 0:11:09.079
<v Speaker 4>also doing particularly well. Look at that more than eleven

0:11:09.120 --> 0:11:11.720
<v Speaker 4>percent on the day. There is much love more broadly

0:11:11.960 --> 0:11:14.600
<v Speaker 4>in the cryptosphere. Look at what's happening in the equity

0:11:14.679 --> 0:11:17.000
<v Speaker 4>side of the equation though as well, because as some

0:11:17.200 --> 0:11:19.920
<v Speaker 4>of these underlying assets do well well, if you're holding

0:11:20.000 --> 0:11:21.319
<v Speaker 4>or if you're mining, they're.

0:11:21.160 --> 0:11:22.400
<v Speaker 6>Doing particularly well for you as well.

0:11:22.480 --> 0:11:24.800
<v Speaker 4>I mean, we know key Hoddler in chief in the

0:11:24.880 --> 0:11:27.280
<v Speaker 4>equity market is of course MicroStrategy and they're up three

0:11:27.280 --> 0:11:30.959
<v Speaker 4>point three percent. Now, interestingly, on the downside have been Marathon.

0:11:31.040 --> 0:11:32.600
<v Speaker 4>Now this is on the back of their numbers. Many

0:11:32.679 --> 0:11:35.520
<v Speaker 4>worrying about the accounting practices and ultimately whether or not

0:11:35.600 --> 0:11:38.199
<v Speaker 4>they're just showing an uplift to their overall earnings because

0:11:38.200 --> 0:11:41.079
<v Speaker 4>they're able to show the current increase in value of

0:11:41.120 --> 0:11:43.760
<v Speaker 4>the underlying holdings a bitcoin. It's that some fifteen percent,

0:11:43.920 --> 0:11:46.240
<v Speaker 4>some an has felt that the numbers didn't hit their mark.

0:11:46.320 --> 0:11:48.800
<v Speaker 6>And remember these stocks have run up in recent weeks

0:11:48.800 --> 0:11:49.160
<v Speaker 6>and months.

0:11:49.320 --> 0:11:51.720
<v Speaker 4>We're looking also at r platforms on the downside by

0:11:51.760 --> 0:11:54.200
<v Speaker 4>more than nine percent, probably in sympathy with the other

0:11:54.280 --> 0:11:56.559
<v Speaker 4>miner that is Marathon. But it's notable that at the

0:11:56.600 --> 0:11:59.280
<v Speaker 4>moment ed there is this supply demand dynamic that just

0:11:59.320 --> 0:12:01.560
<v Speaker 4>seems to be working in bitcoin in particular's favor.

0:12:02.400 --> 0:12:04.920
<v Speaker 5>All right, let's keep digging into everything crypto and bringing

0:12:04.960 --> 0:12:07.920
<v Speaker 5>Van Spencer, co founder of the Web three focus venture

0:12:08.000 --> 0:12:12.040
<v Speaker 5>firm Framework Ventures one point four billion in assets under management.

0:12:12.320 --> 0:12:15.400
<v Speaker 5>You carry summed it up really nicely. First of all,

0:12:15.840 --> 0:12:18.559
<v Speaker 5>we've moved slightly beyond just bitcoin to a kind of

0:12:18.640 --> 0:12:25.120
<v Speaker 5>broader positivity in digital assets. And then the supply demand equation.

0:12:25.760 --> 0:12:27.720
<v Speaker 5>Just give me a health check right now of how

0:12:27.800 --> 0:12:34.520
<v Speaker 5>you feel. General sentiment is towards cryptocurrencies extremely positive, to

0:12:34.600 --> 0:12:35.200
<v Speaker 5>say the least.

0:12:35.360 --> 0:12:37.920
<v Speaker 9>I mean, if you think about the nine bitcoin ETFs

0:12:37.960 --> 0:12:41.079
<v Speaker 9>that are active right now, they're on pace to buy about.

0:12:40.800 --> 0:12:42.080
<v Speaker 5>A million bitcoin per year.

0:12:42.640 --> 0:12:44.880
<v Speaker 9>I have it up on my other screen, but there's

0:12:44.920 --> 0:12:47.679
<v Speaker 9>about one point nine million bitcoin total on all of

0:12:47.760 --> 0:12:51.599
<v Speaker 9>the exchanges worldwide, and so something's got to give. And

0:12:51.679 --> 0:12:54.800
<v Speaker 9>this is what's different in this cycle versus the previous cycles,

0:12:55.400 --> 0:12:58.480
<v Speaker 9>where you know, we didn't have Larry Fink buying eighty

0:12:58.520 --> 0:13:01.920
<v Speaker 9>five thousand bitcoin in the last twenty trading days, and

0:13:02.120 --> 0:13:04.920
<v Speaker 9>so these ETFs are a watershed moment. There are eleven

0:13:05.000 --> 0:13:07.080
<v Speaker 9>years in the making. That was when the first application

0:13:07.280 --> 0:13:10.439
<v Speaker 9>was filed, and we've got ether up next. It's a

0:13:10.480 --> 0:13:13.199
<v Speaker 9>May twenty ninth approval or deny update. We think it

0:13:13.240 --> 0:13:16.719
<v Speaker 9>will be approved. It's basically the same case, and it's

0:13:16.760 --> 0:13:19.839
<v Speaker 9>a much smaller and much more reflexive asset. And the

0:13:19.960 --> 0:13:21.679
<v Speaker 9>last thing I'll say is that there's a ton of

0:13:21.720 --> 0:13:24.800
<v Speaker 9>work that's happened since you know, the big crash that

0:13:24.840 --> 0:13:27.800
<v Speaker 9>happened in twenty twenty two. We've got DeFi really firing

0:13:27.840 --> 0:13:30.079
<v Speaker 9>starting to produce earnings. We've got gaming starting to bring

0:13:30.120 --> 0:13:33.280
<v Speaker 9>in a lot of people. The ecosystem is extremely coherent.

0:13:33.559 --> 0:13:35.719
<v Speaker 9>It's kind of hard to fade just all of the

0:13:35.800 --> 0:13:36.600
<v Speaker 9>work that's happened.

0:13:36.920 --> 0:13:40.880
<v Speaker 5>So I feel good you take on the face of it,

0:13:41.080 --> 0:13:43.040
<v Speaker 5>just the movement in bitcoin. But one of the things

0:13:43.080 --> 0:13:46.280
<v Speaker 5>we've been talking about this week is the offshoots right

0:13:46.440 --> 0:13:50.280
<v Speaker 5>to other let's call them asset classes, but take NFTs.

0:13:50.600 --> 0:13:53.079
<v Speaker 5>You look at the date of NFT volume in December,

0:13:53.640 --> 0:13:56.800
<v Speaker 5>really close correlation with Bitcoin. The reason I'm glad to

0:13:56.840 --> 0:13:58.319
<v Speaker 5>have you on the show, Vans is to me, it

0:13:58.360 --> 0:13:59.959
<v Speaker 5>seems like a lot of that is related to what's

0:14:00.040 --> 0:14:02.800
<v Speaker 5>happening in gaming, an area that your firm is really

0:14:02.840 --> 0:14:03.319
<v Speaker 5>focused on.

0:14:05.600 --> 0:14:08.880
<v Speaker 9>I mean, gaming is probably the most positive story in

0:14:09.440 --> 0:14:12.120
<v Speaker 9>crypto right now, and it's a story that's again been

0:14:12.280 --> 0:14:14.280
<v Speaker 9>years in the making. But all the games that were

0:14:14.320 --> 0:14:16.719
<v Speaker 9>funded in that twenty twenty one twenty twenty two run

0:14:17.120 --> 0:14:19.880
<v Speaker 9>have just started to launch, and one in particular, Pixels,

0:14:20.120 --> 0:14:22.560
<v Speaker 9>has about four hundred thousand daily active wallets. That's the

0:14:22.600 --> 0:14:25.120
<v Speaker 9>biggest blotching application by far right now in terms of

0:14:25.240 --> 0:14:27.800
<v Speaker 9>user count. And so we're moving kind of beyond this

0:14:28.080 --> 0:14:31.680
<v Speaker 9>prosumer you know, whale driven crypto economy into something that's

0:14:31.720 --> 0:14:34.080
<v Speaker 9>more mass market. And you know, people have been waiting

0:14:34.080 --> 0:14:36.360
<v Speaker 9>for that adoption moment, and I think it's coming. I

0:14:36.600 --> 0:14:38.680
<v Speaker 9>think it might already be here. And so you've got

0:14:38.680 --> 0:14:42.880
<v Speaker 9>all these different narratives really firing. The ETFs gaming DeFi

0:14:43.200 --> 0:14:47.680
<v Speaker 9>eth what's the bare case. I mean, maybe the ETF

0:14:47.760 --> 0:14:51.440
<v Speaker 9>inflows stop, but the vast majority of O RaaS have

0:14:51.600 --> 0:14:54.320
<v Speaker 9>not been able to allocate to these yet. And the

0:14:54.440 --> 0:14:56.600
<v Speaker 9>numbers that we hear are one to three percent. That's

0:14:56.600 --> 0:14:59.000
<v Speaker 9>what Fidelity says, you know, of the portfolio that you

0:14:59.040 --> 0:15:01.240
<v Speaker 9>should have in crypto, well, that equates to about one

0:15:01.320 --> 0:15:03.600
<v Speaker 9>hundred and fifty billion dollars coming into this space over

0:15:03.640 --> 0:15:06.000
<v Speaker 9>the next couple of years. And you know, we're one

0:15:06.000 --> 0:15:08.360
<v Speaker 9>of the larger asset managers in crypto framework is and

0:15:08.840 --> 0:15:10.880
<v Speaker 9>we've had the pleasure of buying you know, mid nine

0:15:10.920 --> 0:15:13.160
<v Speaker 9>figures of crypto over the past two years. And liquid

0:15:13.200 --> 0:15:16.360
<v Speaker 9>markets and this might sound strange, but it's actually hard

0:15:16.440 --> 0:15:19.440
<v Speaker 9>to get the coins. These markets are not as liquid

0:15:19.480 --> 0:15:22.200
<v Speaker 9>as people think. And so I think the open question

0:15:22.320 --> 0:15:24.040
<v Speaker 9>is kind of what happens when that money comes in

0:15:24.960 --> 0:15:27.560
<v Speaker 9>it could get, you know, wilder than people think.

0:15:27.760 --> 0:15:28.000
<v Speaker 10>It is.

0:15:28.120 --> 0:15:32.280
<v Speaker 5>My guess. I remember reading about you guys twenty twenty two.

0:15:32.400 --> 0:15:35.800
<v Speaker 5>Hannah Millo was writing about how you were raising money

0:15:36.040 --> 0:15:38.360
<v Speaker 5>at a time where everyone was raising money. You know,

0:15:38.760 --> 0:15:41.840
<v Speaker 5>that was happening. It did not happen in twenty twenty three.

0:15:42.760 --> 0:15:46.160
<v Speaker 5>Where are you focus now in the deploying of capital

0:15:46.280 --> 0:15:48.680
<v Speaker 5>and your your kind of appetite to raise more funds.

0:15:51.480 --> 0:15:53.080
<v Speaker 9>I don't know how much I can or cannot say

0:15:53.080 --> 0:15:54.360
<v Speaker 9>about you know, our raising plans.

0:15:54.440 --> 0:15:57.040
<v Speaker 5>It's just you and I on the show. Just give

0:15:57.080 --> 0:15:58.120
<v Speaker 5>us to meet those events.

0:15:58.360 --> 0:16:03.400
<v Speaker 9>Yeah, we raised four hundred million two weeks before Luna collapsed,

0:16:03.840 --> 0:16:06.360
<v Speaker 9>and so you can imagine what that was like. And

0:16:06.480 --> 0:16:09.080
<v Speaker 9>we spent that year buying you know, we called a

0:16:09.160 --> 0:16:11.240
<v Speaker 9>lot of the capital in that fund, and you know,

0:16:11.600 --> 0:16:13.440
<v Speaker 9>really nobody wanted to talk to us when we were

0:16:13.480 --> 0:16:15.800
<v Speaker 9>buying eight at one thousand, But at thirty five hundred.

0:16:15.840 --> 0:16:18.240
<v Speaker 9>People have now turned around and you know, all the

0:16:18.440 --> 0:16:20.760
<v Speaker 9>LPs are excited and there's a lot more interest in

0:16:20.840 --> 0:16:23.120
<v Speaker 9>this space. But let me put it in perspective for you.

0:16:23.600 --> 0:16:25.520
<v Speaker 9>I was at a pension fund conference this week. It

0:16:25.600 --> 0:16:28.560
<v Speaker 9>was a two day multi strategy multi asset class Pension

0:16:28.560 --> 0:16:31.640
<v Speaker 9>fund conference. The crypto people got one panel at eight

0:16:31.720 --> 0:16:33.800
<v Speaker 9>thirty in the morning, and you know, there's a ton

0:16:33.840 --> 0:16:36.640
<v Speaker 9>of interest, but the pension funds and the largest endowments

0:16:36.680 --> 0:16:38.800
<v Speaker 9>in the world are still behind on this stuff. And

0:16:39.040 --> 0:16:40.800
<v Speaker 9>I do think in the fullness of time, when you

0:16:40.880 --> 0:16:43.240
<v Speaker 9>look back and you think about what it might mean

0:16:43.320 --> 0:16:45.920
<v Speaker 9>to miss the birth of an acid class, especially into

0:16:45.960 --> 0:16:48.840
<v Speaker 9>an ETF style paradigm, a lot of those people are

0:16:48.920 --> 0:16:51.880
<v Speaker 9>going to be pretty upset and wondering what happened. So

0:16:52.160 --> 0:16:53.160
<v Speaker 9>I think we're early.

0:16:54.440 --> 0:16:54.760
<v Speaker 11>All right.

0:16:54.840 --> 0:16:57.400
<v Speaker 5>Framework VENs has co found event Spen, so really appreciate

0:16:57.480 --> 0:16:59.240
<v Speaker 5>having you on the show. I'm glad there were some

0:16:59.320 --> 0:17:11.760
<v Speaker 5>things you could time for talking tech. First off, Electronic

0:17:12.000 --> 0:17:15.080
<v Speaker 5>Art said yesterday that it would be cutting five percent

0:17:15.119 --> 0:17:18.040
<v Speaker 5>of its workforce that's about six hundred and seventy people,

0:17:18.480 --> 0:17:22.280
<v Speaker 5>due to shifting customer needs and a refocusing of the company.

0:17:22.320 --> 0:17:25.600
<v Speaker 5>Will also be halting development on a number of undisclosed

0:17:25.640 --> 0:17:28.800
<v Speaker 5>titles and pulling back on its real estate holding. CEO

0:17:28.960 --> 0:17:32.080
<v Speaker 5>Andrew Wilson told staff in a memo that the company

0:17:32.119 --> 0:17:36.200
<v Speaker 5>would be quote moving away from development of future licensed

0:17:36.280 --> 0:17:39.680
<v Speaker 5>ip that we do not believe will be successful in

0:17:39.800 --> 0:17:44.560
<v Speaker 5>our changing industry. EA joined Sony, Microsoft, ten Cents, Riot Games,

0:17:44.720 --> 0:17:48.160
<v Speaker 5>and other top studios and laying off employees as game

0:17:48.240 --> 0:17:52.880
<v Speaker 5>development costs increase and finance. The world's largest crypto exchange

0:17:52.920 --> 0:17:55.840
<v Speaker 5>said it recovered four point four billion dollars worth of

0:17:55.960 --> 0:18:00.320
<v Speaker 5>digital assets for its users who mishandled their deposits within

0:18:00.400 --> 0:18:02.920
<v Speaker 5>the past two years. Users can mishandle their funds in

0:18:03.000 --> 0:18:08.040
<v Speaker 5>a variety of ways, including entering incorrect wallet addresses, depositing

0:18:08.200 --> 0:18:12.440
<v Speaker 5>incompatible tokens, and problems from blockchain upgrades. That's according to

0:18:12.560 --> 0:18:16.080
<v Speaker 5>Thursday's report. The cryptocurrency exchange said it resolved more than

0:18:16.160 --> 0:18:20.119
<v Speaker 5>three hundred eighty one thousand cases of cryptocurrency that was

0:18:20.200 --> 0:18:24.199
<v Speaker 5>deposited by users but not credited in twenty twenty two

0:18:24.520 --> 0:18:27.480
<v Speaker 5>and twenty twenty three. Plus. Ali Barber is rolling out

0:18:27.520 --> 0:18:31.440
<v Speaker 5>its second major price cut for cloud services in years,

0:18:31.680 --> 0:18:34.080
<v Speaker 5>hoping to win back users from rivals like ten Cent

0:18:34.480 --> 0:18:38.320
<v Speaker 5>competing to provide tools critical to training AI. The Chinese

0:18:38.359 --> 0:18:42.480
<v Speaker 5>Internet Pioneer will slash prices starting Thursday on scores of

0:18:42.520 --> 0:18:45.600
<v Speaker 5>internet based services by as much as fifty five percent

0:18:45.960 --> 0:18:48.480
<v Speaker 5>or twenty percent on average. The cuts represent one of

0:18:48.520 --> 0:18:51.359
<v Speaker 5>the more aggressive moves by the company to stay ahead

0:18:51.400 --> 0:18:53.840
<v Speaker 5>of ten Cent and by do in the cloud business

0:18:53.880 --> 0:18:56.840
<v Speaker 5>and risk triggering a price war in what's already a

0:18:56.920 --> 0:19:00.399
<v Speaker 5>hotly contested set throughout in China. Caro, what are you Yeah, we.

0:19:00.560 --> 0:19:03.240
<v Speaker 4>Talking in contestant sectors and ones that well might be

0:19:03.280 --> 0:19:03.880
<v Speaker 4>feeling the heat.

0:19:03.960 --> 0:19:05.480
<v Speaker 6>Let's talk about streaming.

0:19:05.400 --> 0:19:08.280
<v Speaker 4>And focusing on Paramount says to see, actually a bit

0:19:08.320 --> 0:19:10.560
<v Speaker 4>of a reprieve today, up three point three percent off

0:19:10.640 --> 0:19:13.720
<v Speaker 4>the revenue for its direct to consumer streaming business Parwaermount

0:19:13.720 --> 0:19:18.080
<v Speaker 4>plus beat expectations room meg Intelligence analyst Keitha. Ranganathan joins

0:19:18.160 --> 0:19:20.080
<v Speaker 4>us now for more on the results, and well, there

0:19:20.240 --> 0:19:23.560
<v Speaker 4>was some optimism really showing there, but ultimately the revenues

0:19:23.640 --> 0:19:25.840
<v Speaker 4>the AD side still a cloud here.

0:19:27.160 --> 0:19:30.520
<v Speaker 3>Yeah, absolutely, Caroline. So you know you're right in terms

0:19:30.560 --> 0:19:33.159
<v Speaker 3>of the DTC business, which is the streaming business, there

0:19:33.200 --> 0:19:35.960
<v Speaker 3>were some green shoots there. I think overall what we

0:19:36.080 --> 0:19:38.480
<v Speaker 3>came off with was there are some tones of you know,

0:19:38.600 --> 0:19:42.080
<v Speaker 3>stabilization in Paramount's results. I'm just not sure that it's

0:19:42.119 --> 0:19:44.320
<v Speaker 3>going to be enough. You know, you do have the

0:19:44.400 --> 0:19:47.919
<v Speaker 3>linear TV business, which brings in about fifty five percent

0:19:48.080 --> 0:19:51.040
<v Speaker 3>of the revenue for the whole company almost ninety percent

0:19:51.080 --> 0:19:53.560
<v Speaker 3>of its profits though, so there's obviously a lot of

0:19:53.600 --> 0:19:56.600
<v Speaker 3>focus there, and that sector has just been so challenged

0:19:56.760 --> 0:19:59.560
<v Speaker 3>just with cord cutting and kind of this whole movement

0:19:59.760 --> 0:20:01.960
<v Speaker 3>to to streaming and you know, the movement of eyeballs

0:20:02.000 --> 0:20:05.320
<v Speaker 3>from linear TV networks to all of the digital platforms,

0:20:05.359 --> 0:20:08.520
<v Speaker 3>and so obviously the advertising dollars also moving away, so

0:20:08.640 --> 0:20:10.800
<v Speaker 3>that market has been under a lot of stress. TV

0:20:10.880 --> 0:20:14.000
<v Speaker 3>ads were down fifteen percent. You know, Paramount will get

0:20:14.040 --> 0:20:16.640
<v Speaker 3>the benefit in the first quarter with the Super Bowl.

0:20:16.800 --> 0:20:19.159
<v Speaker 3>There will be you know, some lingering benefits throughout the

0:20:19.240 --> 0:20:22.040
<v Speaker 3>year with the political ad cycle, but that's not going

0:20:22.080 --> 0:20:26.000
<v Speaker 3>to be enough because you know, the core advertising trends

0:20:26.200 --> 0:20:29.480
<v Speaker 3>remain very, very challenged, and so yeah, that was definitely

0:20:29.640 --> 0:20:31.960
<v Speaker 3>kind of that remains a pain point. But I think

0:20:32.040 --> 0:20:34.520
<v Speaker 3>the bright spot is that, you know, the streaming metrics

0:20:34.560 --> 0:20:35.240
<v Speaker 3>definitely look good.

0:20:36.960 --> 0:20:40.320
<v Speaker 5>There's a lot going on in the background with Paramount Gita,

0:20:40.600 --> 0:20:42.880
<v Speaker 5>and for me, it always comes back to the loss

0:20:42.920 --> 0:20:46.240
<v Speaker 5>in the streaming business was more narrow than expected, but

0:20:46.359 --> 0:20:49.960
<v Speaker 5>we don't have any better sense on how Paramount does

0:20:50.040 --> 0:20:53.879
<v Speaker 5>anything organically or inorganically to make that business profitable.

0:20:55.680 --> 0:20:59.280
<v Speaker 3>So they did articulate a strategy, and this was you know,

0:20:59.400 --> 0:21:01.200
<v Speaker 3>this was I think one of the things that investors

0:21:01.240 --> 0:21:03.840
<v Speaker 3>are kind of cheering a little bit this morning, because

0:21:04.119 --> 0:21:06.520
<v Speaker 3>they said that they are hoping to get to paramount

0:21:07.000 --> 0:21:10.119
<v Speaker 3>plus profitability domestic profitability by twenty twenty five. Now that's

0:21:10.119 --> 0:21:13.480
<v Speaker 3>the first time that they've actually given us a time frame. Yes,

0:21:13.720 --> 0:21:16.600
<v Speaker 3>losses have narrowed. They do seem to have some plans

0:21:16.640 --> 0:21:19.760
<v Speaker 3>in place for cutting down costs, for kind of optimizing

0:21:19.840 --> 0:21:22.399
<v Speaker 3>content costs across the board, both their linear TV networks

0:21:22.400 --> 0:21:25.400
<v Speaker 3>as well as streaming. Again, I'm not sure that's enough

0:21:25.520 --> 0:21:27.640
<v Speaker 3>to move the needle. We did see last week Warner

0:21:27.680 --> 0:21:31.959
<v Speaker 3>Brothers Discovery actually posting a modest profit in its streaming business,

0:21:32.240 --> 0:21:35.639
<v Speaker 3>but investors are still very, very skeptical that the profits

0:21:35.800 --> 0:21:39.880
<v Speaker 3>on the streaming side can actually completely offset the losses

0:21:40.280 --> 0:21:41.880
<v Speaker 3>on the linear TV side.

0:21:43.200 --> 0:21:46.280
<v Speaker 5>Cutting your way to profit. Bloomeg Intelligence analystsiter rang an

0:21:46.280 --> 0:21:55.679
<v Speaker 5>eighth and great to have you on the program. Welcome

0:21:55.720 --> 0:21:59.520
<v Speaker 5>back to bloomboag Technology. Ed love low here in San Francisco, Caroline.

0:21:59.160 --> 0:22:01.200
<v Speaker 4>Heid and Neo Les quick check on these markets said,

0:22:01.200 --> 0:22:04.960
<v Speaker 4>because today the PCE number that favored view of inflationary

0:22:04.960 --> 0:22:07.240
<v Speaker 4>pressures from the Federal Reserve was posted at eight thirty am,

0:22:07.520 --> 0:22:09.560
<v Speaker 4>and it was a relief it came in where expectations

0:22:09.600 --> 0:22:11.680
<v Speaker 4>were two point eight percent urinear growth in terms of

0:22:11.760 --> 0:22:14.639
<v Speaker 4>inflationary pressure, the Fed seeming right to be pausing on

0:22:14.760 --> 0:22:17.159
<v Speaker 4>any cuts. But that sort of relief that it came

0:22:17.240 --> 0:22:20.080
<v Speaker 4>in as expected means that tech stocks push higher, up

0:22:20.080 --> 0:22:22.600
<v Speaker 4>four tens a percent. Tenure yield comes down some three

0:22:22.640 --> 0:22:25.560
<v Speaker 4>basis points, but actually sort of moving aside from any

0:22:25.600 --> 0:22:28.199
<v Speaker 4>of the macro data points of late, Bitcoin has been

0:22:28.240 --> 0:22:30.520
<v Speaker 4>on its own role over the last few trading days

0:22:30.520 --> 0:22:32.479
<v Speaker 4>and weeks. As you know, we're currently at sixty two

0:22:33.080 --> 0:22:35.840
<v Speaker 4>and fifteen, so clearly really trying to eye that new

0:22:35.880 --> 0:22:38.720
<v Speaker 4>record high at supply demand dynamics continue. We'll dig into

0:22:38.760 --> 0:22:40.400
<v Speaker 4>that in a moment. Was one of our VC guests.

0:22:40.400 --> 0:22:42.399
<v Speaker 4>We're up two point eight percent. Move on and have

0:22:42.440 --> 0:22:44.560
<v Speaker 4>a look at some of the individual movers because earnings

0:22:44.600 --> 0:22:46.159
<v Speaker 4>have come thinking fast a lot for some of these

0:22:46.160 --> 0:22:48.200
<v Speaker 4>software AI players that I want to shine a light on.

0:22:48.560 --> 0:22:50.400
<v Speaker 6>OCTA massive move up some twenty percent.

0:22:50.440 --> 0:22:52.520
<v Speaker 4>Now, this company's been under duress, remember a breach that

0:22:52.560 --> 0:22:55.119
<v Speaker 4>happened recently. Now the numbers that came in from Octa

0:22:55.440 --> 0:22:57.920
<v Speaker 4>seemed to give analysts some reprieve. They seem to be

0:22:58.040 --> 0:23:00.560
<v Speaker 4>liking the fact that they're managing to upsale where they

0:23:00.600 --> 0:23:02.600
<v Speaker 4>think the price point for this particular company is going.

0:23:02.840 --> 0:23:05.080
<v Speaker 4>And subscriptions were sort of a relief over there, ju

0:23:05.160 --> 0:23:09.359
<v Speaker 4>A Lingo up twenty two percent. Absolutely rampant growth that

0:23:09.440 --> 0:23:11.680
<v Speaker 4>we're seeing at the moment in terms of revenues driving higher.

0:23:11.680 --> 0:23:13.960
<v Speaker 4>People wanting to be learning the languages on this particular

0:23:14.040 --> 0:23:17.639
<v Speaker 4>AI enabled platform. Maybe the Super Bowl advert did a

0:23:17.680 --> 0:23:19.640
<v Speaker 4>little bit as well. We're looking at C three AI

0:23:19.880 --> 0:23:23.480
<v Speaker 4>twenty four percent higher. This also a relief because many

0:23:23.560 --> 0:23:25.160
<v Speaker 4>had thought that maybe this had just been an AI

0:23:25.320 --> 0:23:27.920
<v Speaker 4>hype cycle. C THREEAI needed to prove that it's a

0:23:27.960 --> 0:23:30.800
<v Speaker 4>subscription growth was really there, and it is and many

0:23:30.840 --> 0:23:33.080
<v Speaker 4>an analyst therefore upgrading on the back of these numbers

0:23:33.119 --> 0:23:34.879
<v Speaker 4>as well. So some big moves in some of these

0:23:34.960 --> 0:23:36.399
<v Speaker 4>software and AI plays today ed.

0:23:37.320 --> 0:23:39.640
<v Speaker 5>All right, we have some breaking news crossing the Bloomberg

0:23:39.760 --> 0:23:42.320
<v Speaker 5>terminal and a red headline in the video games industry.

0:23:42.440 --> 0:23:46.840
<v Speaker 5>Swedish video games outfit Embracer is going to sell its

0:23:46.920 --> 0:23:51.399
<v Speaker 5>Saber subsidiary in a deal valued around five hundred million

0:23:51.520 --> 0:23:56.080
<v Speaker 5>US dollars that according to a Bloomberg source. Let's bring

0:23:56.119 --> 0:23:59.280
<v Speaker 5>in the reporter that just broke that story for Bloomberg,

0:23:59.359 --> 0:24:03.040
<v Speaker 5>Jason strud This is an interesting one. I'm familiar with

0:24:03.119 --> 0:24:06.040
<v Speaker 5>the names because I'm a longtime fan and player of

0:24:06.119 --> 0:24:08.359
<v Speaker 5>Knights of the Old Republic, the Star Wars Going We

0:24:08.440 --> 0:24:11.280
<v Speaker 5>used to play on PC, the OG and the second version.

0:24:11.600 --> 0:24:14.720
<v Speaker 5>Tell us about the deal you're reporting on. Yeah, So

0:24:15.200 --> 0:24:16.320
<v Speaker 5>it's happening as we speak.

0:24:16.440 --> 0:24:19.800
<v Speaker 1>So this is going to be announced in a in

0:24:19.920 --> 0:24:23.520
<v Speaker 1>the next week or two that Embracer Group is selling. Essentially, Saber,

0:24:23.560 --> 0:24:25.399
<v Speaker 1>which is a big subsidiary of Embracer Group, is going

0:24:25.440 --> 0:24:26.040
<v Speaker 1>to go private.

0:24:26.119 --> 0:24:27.400
<v Speaker 5>So a little bit of context here.

0:24:27.760 --> 0:24:30.760
<v Speaker 1>Embracer Group is the Swedish gaming conglomerate that made a

0:24:30.840 --> 0:24:32.560
<v Speaker 1>lot of headlines a couple of years ago because it

0:24:32.640 --> 0:24:35.919
<v Speaker 1>was buying up companies all across the video game industry,

0:24:36.000 --> 0:24:39.560
<v Speaker 1>a huge spending spree back in the halcyon days of

0:24:39.640 --> 0:24:40.760
<v Speaker 1>twenty twenty one, when the.

0:24:40.800 --> 0:24:42.960
<v Speaker 5>Interest rates were low and buying was easy.

0:24:43.200 --> 0:24:45.520
<v Speaker 1>But of course things have changed and Embraser Group has

0:24:45.560 --> 0:24:48.120
<v Speaker 1>since embarked on a cost cutting initiative that has led

0:24:48.160 --> 0:24:50.800
<v Speaker 1>to carnage across the video game industry and has shut

0:24:50.840 --> 0:24:53.920
<v Speaker 1>down studios, laid people off, and now it's just looking

0:24:54.000 --> 0:24:55.520
<v Speaker 1>to shed costs whenever possible.

0:24:55.600 --> 0:24:58.200
<v Speaker 5>This is the latest move on that front.

0:24:59.119 --> 0:25:02.280
<v Speaker 4>And overall, well, when you see these cancelation of projects,

0:25:02.320 --> 0:25:05.520
<v Speaker 4>when you see ultimately companies doing deals like this, does

0:25:05.560 --> 0:25:07.680
<v Speaker 4>it speak to some of the pressure points that we

0:25:07.720 --> 0:25:09.160
<v Speaker 4>sing across the entire industry?

0:25:10.600 --> 0:25:11.280
<v Speaker 5>It definitely does.

0:25:11.400 --> 0:25:13.639
<v Speaker 1>And yes, just this year, this week alone, I mean

0:25:13.720 --> 0:25:16.160
<v Speaker 1>we've just seen it's been a bloodbath. Sony has laid

0:25:16.280 --> 0:25:18.960
<v Speaker 1>off nine hundred people. EA just said last night it

0:25:19.040 --> 0:25:21.520
<v Speaker 1>was laying off more than six hundred people. Yeah, we're

0:25:21.520 --> 0:25:23.359
<v Speaker 1>seeing our climate a lot of it. There are a

0:25:23.359 --> 0:25:25.880
<v Speaker 1>few factors behind all of these layoffs, but I think

0:25:25.920 --> 0:25:28.560
<v Speaker 1>the biggest one is that during the pandemic, when there

0:25:28.640 --> 0:25:30.760
<v Speaker 1>was a lot of growth in the video game industry,

0:25:30.800 --> 0:25:33.679
<v Speaker 1>a lot of these companies just swelled, they bloated, they

0:25:33.880 --> 0:25:36.600
<v Speaker 1>hired too many people. And now they are kind of

0:25:37.000 --> 0:25:39.679
<v Speaker 1>they're facing the math. They are looking at the numbers.

0:25:39.720 --> 0:25:41.680
<v Speaker 1>The numbers have gone down a little bit. The growth

0:25:41.720 --> 0:25:44.360
<v Speaker 1>hasn't been quite what it was when everybody was stuck

0:25:44.400 --> 0:25:47.640
<v Speaker 1>at home playing video games. But the overhiring is still

0:25:47.760 --> 0:25:50.960
<v Speaker 1>there and as always happens to people who actually made

0:25:51.000 --> 0:25:53.439
<v Speaker 1>those decisions that are sticking around. It's the people who

0:25:53.480 --> 0:25:55.720
<v Speaker 1>got hired who are suffering as a result of this.

0:25:56.760 --> 0:25:59.919
<v Speaker 5>Adjacent the other top story that our alreadience is following

0:26:00.400 --> 0:26:04.399
<v Speaker 5>is rock Star Games, the studio behind graand Theft Auto,

0:26:05.680 --> 0:26:09.400
<v Speaker 5>telling its employees, according to your reporting, to come back

0:26:09.440 --> 0:26:12.480
<v Speaker 5>to the office five days a week starting in April.

0:26:12.840 --> 0:26:17.280
<v Speaker 5>What do you know about the decisions behind that move. Yeah,

0:26:17.400 --> 0:26:19.760
<v Speaker 5>it's interesting. I think that in a lot of industries.

0:26:19.800 --> 0:26:22.000
<v Speaker 1>A lot of industries obviously are grappling with this question

0:26:22.119 --> 0:26:25.440
<v Speaker 1>of returning to the office after employees have gotten used

0:26:25.440 --> 0:26:29.440
<v Speaker 1>to either working hybrid or working remotely. With the gaming industry,

0:26:29.600 --> 0:26:31.600
<v Speaker 1>it's kind of it plays off on the topic we

0:26:31.680 --> 0:26:34.040
<v Speaker 1>were just talking about, because the volatility of the video

0:26:34.080 --> 0:26:37.600
<v Speaker 1>game industry is such that people have to uproot their

0:26:37.680 --> 0:26:40.720
<v Speaker 1>lives constantly for new jobs, and so remote work is

0:26:41.240 --> 0:26:43.399
<v Speaker 1>very much a shield against that volatility. And so for

0:26:43.480 --> 0:26:45.400
<v Speaker 1>a company like Rockstar, which is one of the leading

0:26:45.480 --> 0:26:48.200
<v Speaker 1>video game developers, to come out and say, hey, we

0:26:48.320 --> 0:26:50.240
<v Speaker 1>need you all to come in five days a week

0:26:51.119 --> 0:26:53.800
<v Speaker 1>really strikes kind of It's a big contrast between what

0:26:53.880 --> 0:26:59.679
<v Speaker 1>we're seeing elsewhere. Yeah, Rockstar, they're Rationale here. It's largely

0:26:59.720 --> 0:27:03.159
<v Speaker 1>because of security, and so they've suffered from some huge

0:27:03.320 --> 0:27:05.879
<v Speaker 1>leaks of the next Grand Theft Auto game. There was

0:27:05.920 --> 0:27:08.120
<v Speaker 1>one in twenty twenty two where a bunch of footage,

0:27:08.160 --> 0:27:10.280
<v Speaker 1>early footage from the game got leaked and dropped on

0:27:10.320 --> 0:27:13.200
<v Speaker 1>the internet. And then last year, last December, just a

0:27:13.240 --> 0:27:15.120
<v Speaker 1>couple of months ago, and they were planning on releasing

0:27:15.200 --> 0:27:19.200
<v Speaker 1>their latest their new trailer, their first trailer for GTA six.

0:27:19.960 --> 0:27:22.560
<v Speaker 1>It was actually leaked on Twitter a few hours before

0:27:22.560 --> 0:27:25.920
<v Speaker 1>it was due to go up. It was pretty ridiculous. Actually,

0:27:25.960 --> 0:27:27.879
<v Speaker 1>it was leaked with like a giant chiron in the

0:27:27.920 --> 0:27:31.520
<v Speaker 1>middle saying by Bitcoin. It was very very bizarre sequence

0:27:31.560 --> 0:27:33.920
<v Speaker 1>of events. The game was the game is set in Florida.

0:27:34.080 --> 0:27:36.320
<v Speaker 1>I joked at the time that it's the most Florida

0:27:36.440 --> 0:27:38.920
<v Speaker 1>thing ever for the game to leak in that fashion.

0:27:39.000 --> 0:27:41.360
<v Speaker 1>But this is one of the main reasons that they're

0:27:41.440 --> 0:27:43.880
<v Speaker 1>doing this return to office because they believe that their

0:27:44.240 --> 0:27:47.480
<v Speaker 1>security was compromised as a result of people working remotely.

0:27:47.880 --> 0:27:50.080
<v Speaker 6>What's interesting, though, is we've seen it at other tech companies.

0:27:50.119 --> 0:27:52.560
<v Speaker 4>I think of Grinder, who said look, come back to

0:27:52.640 --> 0:27:55.879
<v Speaker 4>the office, and it actually helps them reduce their workforce

0:27:56.000 --> 0:27:58.640
<v Speaker 4>with a more of a natural attrition version, because they're like, look,

0:27:58.640 --> 0:27:59.879
<v Speaker 4>if you're not going to buy by some of a

0:28:00.800 --> 0:28:02.480
<v Speaker 4>you need not come back. Is that kind of what's

0:28:02.520 --> 0:28:04.280
<v Speaker 4>playing into this as well, Jason, even though they are

0:28:04.320 --> 0:28:05.560
<v Speaker 4>playing up the security side.

0:28:06.400 --> 0:28:09.520
<v Speaker 1>That is extremely an extremely common theory, I will say,

0:28:09.600 --> 0:28:11.840
<v Speaker 1>and I've heard that not just attached to Rockstar, but

0:28:11.960 --> 0:28:14.639
<v Speaker 1>also to a bunch of other companies. Lizard last year

0:28:14.840 --> 0:28:17.399
<v Speaker 1>was big on return to office and one of the

0:28:17.480 --> 0:28:19.120
<v Speaker 1>theories was, hey, is this just kind.

0:28:19.040 --> 0:28:19.959
<v Speaker 5>Of a soft layoff?

0:28:20.080 --> 0:28:21.600
<v Speaker 1>Is this a way that we can lay people off

0:28:21.680 --> 0:28:24.280
<v Speaker 1>without actually laying people off because we know that X

0:28:24.320 --> 0:28:27.840
<v Speaker 1>percent of people will leave when they're forced with the

0:28:27.920 --> 0:28:29.680
<v Speaker 1>prospect of having to go back to the office five

0:28:29.720 --> 0:28:30.160
<v Speaker 1>days a week.

0:28:30.200 --> 0:28:31.520
<v Speaker 5>So very common theory.

0:28:31.840 --> 0:28:34.960
<v Speaker 1>I don't have anything that can prove that, but it's

0:28:35.000 --> 0:28:37.919
<v Speaker 1>certainly logical, Jason Shyer.

0:28:38.600 --> 0:28:41.480
<v Speaker 4>Brilliant to have you across what is a very talkt

0:28:41.520 --> 0:28:44.640
<v Speaker 4>of industry group today, across all of the different companies

0:28:44.960 --> 0:28:45.680
<v Speaker 4>moving and shaking me.

0:28:45.760 --> 0:28:46.400
<v Speaker 6>Thank you so much.

0:28:46.480 --> 0:28:48.960
<v Speaker 4>Meanwhile, let's turn to Apple for a moment, because well,

0:28:48.960 --> 0:28:51.720
<v Speaker 4>there's not some great price point action happening over in China.

0:28:51.880 --> 0:28:55.400
<v Speaker 4>Resellers slashing the price of the iPhone fifteen models get

0:28:55.440 --> 0:28:56.920
<v Speaker 4>this by as much as one hundred and eighty dollars,

0:28:57.040 --> 0:28:58.920
<v Speaker 4>and it all seems to signal that we've got an

0:28:59.000 --> 0:29:02.520
<v Speaker 4>unusually prolonged slump in demand and ed, this is more

0:29:02.600 --> 0:29:03.160
<v Speaker 4>than we're used to.

0:29:03.360 --> 0:29:04.040
<v Speaker 6>What took my.

0:29:04.160 --> 0:29:06.560
<v Speaker 4>Attention was it actually some of this as dressed up

0:29:06.600 --> 0:29:09.560
<v Speaker 4>as well deals to be made before International Women's Day.

0:29:09.640 --> 0:29:12.160
<v Speaker 4>I haven't seen many deals being made my way for

0:29:12.320 --> 0:29:15.600
<v Speaker 4>International Women's Day next week for objects to be cheaper

0:29:15.680 --> 0:29:17.840
<v Speaker 4>than usual, but the fact that one hundred and eighty

0:29:17.880 --> 0:29:19.760
<v Speaker 4>dollars does seem to be more than we usually see

0:29:19.800 --> 0:29:21.400
<v Speaker 4>at this time of year in the lunar holidays.

0:29:22.040 --> 0:29:24.520
<v Speaker 5>Yeah, there are different data sets that you can point

0:29:24.560 --> 0:29:26.600
<v Speaker 5>to and try and draw a conclusion. The main one

0:29:26.680 --> 0:29:29.040
<v Speaker 5>that the Bloomberg focuses on in the story Carro is

0:29:29.120 --> 0:29:32.760
<v Speaker 5>that iPhone fifteen sales are just not doing as well

0:29:32.800 --> 0:29:35.959
<v Speaker 5>as prior generations the iPhone fourteen in China, so an

0:29:35.960 --> 0:29:37.800
<v Speaker 5>Ali barber's team or you can get one hundred and

0:29:37.800 --> 0:29:40.680
<v Speaker 5>eighty dollars discount, but the difference this time around this

0:29:40.880 --> 0:29:44.880
<v Speaker 5>year more domestic pressure right a handset from Huawei, you know,

0:29:45.000 --> 0:29:46.400
<v Speaker 5>in the marketplace, and.

0:29:46.480 --> 0:29:47.880
<v Speaker 6>Those headwinds just continue.

0:29:48.120 --> 0:29:50.560
<v Speaker 4>We talk about some of the geopolitical tensions that have

0:29:50.640 --> 0:29:53.400
<v Speaker 4>effect of course a supply side chain of Apple and

0:29:53.520 --> 0:29:56.160
<v Speaker 4>more broadly demand too. We've got to think that there's

0:29:56.200 --> 0:29:59.920
<v Speaker 4>been this government not perhaps the pr around it is

0:30:00.120 --> 0:30:03.520
<v Speaker 4>been difficult to find the nuance, but ultimately governments or

0:30:03.880 --> 0:30:06.080
<v Speaker 4>government affiliated companies not wanting you to bring in your

0:30:06.080 --> 0:30:08.800
<v Speaker 4>Apple phone, wanting you to buy local, and Huilewey of

0:30:08.840 --> 0:30:11.040
<v Speaker 4>course bringing out this incredibly powerful rival.

0:30:12.280 --> 0:30:16.200
<v Speaker 5>The conclusion that Bloomberg Intelligence anlysts reach, it implies weakness

0:30:16.280 --> 0:30:19.479
<v Speaker 5>in China. Okay, coming up on Bloomberg technology, how New

0:30:19.560 --> 0:30:22.400
<v Speaker 5>York City might be poised to be the next major

0:30:22.520 --> 0:30:25.080
<v Speaker 5>AI hub. That's according to Lux Capital. We're going to

0:30:25.080 --> 0:30:28.760
<v Speaker 5>discuss with partner Grace Isford. That's next, Carol, what's happening

0:30:28.800 --> 0:30:29.360
<v Speaker 5>in the markets.

0:30:29.520 --> 0:30:32.080
<v Speaker 4>We're just going back to Apple for a moment, because

0:30:32.120 --> 0:30:35.320
<v Speaker 4>this is a European related company, a Swiss chip maker

0:30:35.360 --> 0:30:38.320
<v Speaker 4>in fact, absolutely plunging as you can see in European

0:30:38.400 --> 0:30:39.560
<v Speaker 4>trading after.

0:30:39.400 --> 0:30:40.280
<v Speaker 6>A major customer.

0:30:40.360 --> 0:30:43.600
<v Speaker 4>Now analysts believe this customer to be Apple ed canceled

0:30:43.720 --> 0:30:47.640
<v Speaker 4>the chip maker's key project around micro LEDs. So as

0:30:47.720 --> 0:30:49.920
<v Speaker 4>this is a result impactment charges of up to nine

0:30:50.040 --> 0:30:52.920
<v Speaker 4>hundred million euros. You can see the impact on that

0:30:53.000 --> 0:30:55.480
<v Speaker 4>two day chart from New York, from San Francisco, this

0:30:55.560 --> 0:31:09.560
<v Speaker 4>is Bloomberg Technology. Well you just saw that magnovograts is

0:31:09.600 --> 0:31:11.440
<v Speaker 4>going to be on Bloomberg in a little while. And

0:31:11.840 --> 0:31:14.000
<v Speaker 4>well that's because we're talking about crypto a lot at

0:31:14.000 --> 0:31:16.360
<v Speaker 4>the moment. Bitcoin of course having quite the tear forty

0:31:16.400 --> 0:31:18.520
<v Speaker 4>two percent on the nose over the last trading days

0:31:18.800 --> 0:31:20.600
<v Speaker 4>of thirty days. And this is of course as we

0:31:20.680 --> 0:31:23.880
<v Speaker 4>see demand supply ultimate imbalance, as we start to see

0:31:24.120 --> 0:31:27.000
<v Speaker 4>the ETFs come to bear, and notably some of the

0:31:27.120 --> 0:31:30.320
<v Speaker 4>talk of halving hamp maoning in April, someone who basically

0:31:30.400 --> 0:31:32.680
<v Speaker 4>is at the intersection everything we're talking about at the moment,

0:31:32.720 --> 0:31:35.120
<v Speaker 4>whether it's the nexus of web three, also of data

0:31:35.200 --> 0:31:38.840
<v Speaker 4>infrastructure of AIML is Lux Capital partner Grace Isford, who

0:31:38.920 --> 0:31:42.080
<v Speaker 4>joins us now for VC Spotlight. And what's so interesting

0:31:42.240 --> 0:31:45.320
<v Speaker 4>is you were sort of very highly focused on what

0:31:45.480 --> 0:31:47.680
<v Speaker 4>now seems to be all of our talking points at

0:31:47.720 --> 0:31:49.640
<v Speaker 4>the moment when you first came to Lux in twenty

0:31:49.680 --> 0:31:52.280
<v Speaker 4>twenty two, having been at canvas before that what are

0:31:52.280 --> 0:31:54.440
<v Speaker 4>you making of the ecosystem in crypto when you're looking

0:31:54.440 --> 0:31:56.800
<v Speaker 4>at putting VC dollars to work? Because yes, we can

0:31:56.880 --> 0:31:58.480
<v Speaker 4>all think of it as some sort of asset that

0:31:58.560 --> 0:32:01.520
<v Speaker 4>we can track and better and speculate, But what is

0:32:01.600 --> 0:32:04.120
<v Speaker 4>the underlying building of infrastructure looking like right now?

0:32:04.400 --> 0:32:06.600
<v Speaker 10>Ironically, it's the same building blocks for both. You know,

0:32:06.680 --> 0:32:10.000
<v Speaker 10>who are the innovative technologists who are taking you know,

0:32:10.040 --> 0:32:13.280
<v Speaker 10>cutting edge fundational principles, whether it's in cryptography or whether

0:32:13.320 --> 0:32:16.000
<v Speaker 10>it's in applied machine learning, and taking that to solve

0:32:16.000 --> 0:32:18.640
<v Speaker 10>a real problem for the end users. So, both the

0:32:18.680 --> 0:32:20.560
<v Speaker 10>B to B infrastructure on the crypto side and the

0:32:20.600 --> 0:32:23.040
<v Speaker 10>B to B infrastructure on the AI side, we continue

0:32:23.040 --> 0:32:24.720
<v Speaker 10>to see a lot of exciting innovation.

0:32:25.160 --> 0:32:27.440
<v Speaker 4>Okay, well, let's talk about the practical innovations that are

0:32:27.480 --> 0:32:30.200
<v Speaker 4>being built. Maybe here you've just been to San Francisco.

0:32:30.880 --> 0:32:33.719
<v Speaker 4>There's a lot of talk actually of how cryptography can

0:32:33.760 --> 0:32:36.840
<v Speaker 4>be an answer to compute and access to compute when

0:32:36.880 --> 0:32:40.160
<v Speaker 4>we are thinking of large language models and machine learning.

0:32:40.280 --> 0:32:41.800
<v Speaker 6>Is that something you're seeing being solved for at the

0:32:41.840 --> 0:32:42.720
<v Speaker 6>moment in both places?

0:32:42.880 --> 0:32:45.920
<v Speaker 10>Well, certainly, actually, take our lex Portfolio company together AI.

0:32:46.040 --> 0:32:47.920
<v Speaker 10>We actually led the seed in that company. They're based

0:32:47.960 --> 0:32:50.840
<v Speaker 10>in San Francisco, but they're chief scientists Tredoo. He's actually

0:32:50.920 --> 0:32:52.840
<v Speaker 10>moving to New York to be an assistant professor at

0:32:52.880 --> 0:32:54.760
<v Speaker 10>Princeton and love to talk a little bit more about

0:32:54.760 --> 0:32:56.720
<v Speaker 10>the New York theme there. But they are actually having

0:32:56.840 --> 0:33:00.320
<v Speaker 10>decentralized compute in many ways versus using a centralized cloud

0:33:00.360 --> 0:33:03.320
<v Speaker 10>provider in order to power that AI infrastructure stack.

0:33:04.440 --> 0:33:07.560
<v Speaker 5>Great, let's have a little bit of healthy competition between cities,

0:33:07.600 --> 0:33:12.640
<v Speaker 5>shall we. This week we published a documentary called Welcome

0:33:12.720 --> 0:33:15.360
<v Speaker 5>to Cerebral Valley. And as you know, like right now,

0:33:15.480 --> 0:33:19.240
<v Speaker 5>the line share of dollar or intellectual capital is here,

0:33:19.800 --> 0:33:23.440
<v Speaker 5>but New York is growing both on the personnel side

0:33:23.480 --> 0:33:27.440
<v Speaker 5>and attracting more dollars. What is lux Capital's attitude.

0:33:27.000 --> 0:33:30.280
<v Speaker 10>Towards that the AI demand is unprecedented, both in San

0:33:30.320 --> 0:33:31.960
<v Speaker 10>Francisco and New York, and I think you're going to

0:33:32.000 --> 0:33:35.120
<v Speaker 10>see continued growth in both cities. Right sfal Continua Hub.

0:33:35.400 --> 0:33:37.880
<v Speaker 10>New York is a really exciting and growing hub, both

0:33:37.920 --> 0:33:40.480
<v Speaker 10>because of the demand we have here. Forty four of

0:33:40.560 --> 0:33:43.640
<v Speaker 10>Fortune five hundred companies are headquartered right here in New York.

0:33:43.880 --> 0:33:45.880
<v Speaker 10>There was a recent Unicorn Report where the number of

0:33:46.000 --> 0:33:48.640
<v Speaker 10>unicorns in New York grows from three to one hundred

0:33:48.720 --> 0:33:51.640
<v Speaker 10>over the last ten years. And you're seeing huge industries here,

0:33:51.880 --> 0:33:54.760
<v Speaker 10>whether it's financial services or media. As it retains to

0:33:54.800 --> 0:33:57.960
<v Speaker 10>New York specifically, there's a great talent be here. I

0:33:58.080 --> 0:34:00.880
<v Speaker 10>just mentioned tread out from Together actually as moving here

0:34:00.920 --> 0:34:04.160
<v Speaker 10>to New York. We've also seen several other great AI

0:34:04.280 --> 0:34:07.600
<v Speaker 10>labs world class right here in New York. Nyu Jan Lacun,

0:34:07.800 --> 0:34:11.239
<v Speaker 10>He's the chief medice scientist at Meta. He's also here

0:34:11.280 --> 0:34:14.040
<v Speaker 10>in New York, and the Princeton and Columbia and Cornell

0:34:14.120 --> 0:34:15.080
<v Speaker 10>labs are are bustling.

0:34:16.080 --> 0:34:18.680
<v Speaker 5>One of the surprising headlines that caught my eye in

0:34:18.719 --> 0:34:21.239
<v Speaker 5>the last couple of days was Jamie Diamond of all

0:34:21.320 --> 0:34:24.920
<v Speaker 5>people saying that mayor's in Texas will phone them up

0:34:24.960 --> 0:34:27.160
<v Speaker 5>and say what can we do to get more business?

0:34:27.680 --> 0:34:30.600
<v Speaker 5>But you know, officials in New York City, according to

0:34:30.680 --> 0:34:33.480
<v Speaker 5>Jamie Diamond, and not as business friendly. What is your

0:34:33.560 --> 0:34:35.879
<v Speaker 5>kind of boots on the ground experience of that. From

0:34:35.960 --> 0:34:38.600
<v Speaker 5>kind of a host city perspective.

0:34:38.520 --> 0:34:40.759
<v Speaker 10>I've been seeing bustling innovation and I've been seeing a

0:34:40.760 --> 0:34:42.680
<v Speaker 10>lot of people choosing to live in New York because

0:34:42.680 --> 0:34:45.200
<v Speaker 10>they want to live here and going through whatever hoops

0:34:45.200 --> 0:34:47.440
<v Speaker 10>they need to do to build an awesome company here. So,

0:34:47.520 --> 0:34:50.280
<v Speaker 10>whether that's getting great talent out of major tech companies,

0:34:50.440 --> 0:34:52.359
<v Speaker 10>whether that's getting a lot of new grads. We saw

0:34:52.440 --> 0:34:54.919
<v Speaker 10>a six x increase in applicants according to a recent

0:34:55.000 --> 0:34:57.680
<v Speaker 10>Handshag report over the last five years, wanting to move here.

0:34:57.880 --> 0:34:59.919
<v Speaker 10>And we see a lot of international talent, right folks

0:35:00.000 --> 0:35:02.560
<v Speaker 10>iming from Europe, both coming from Israel, all moving right

0:35:02.600 --> 0:35:03.560
<v Speaker 10>here to New York City.

0:35:04.239 --> 0:35:07.400
<v Speaker 4>What often will be said to some of the vcs

0:35:07.480 --> 0:35:09.600
<v Speaker 4>that I speak to us chatting with able partners, for

0:35:09.640 --> 0:35:13.120
<v Speaker 4>example yesterday, is that what New York has going through it,

0:35:13.280 --> 0:35:15.520
<v Speaker 4>even if it's not comparable in terms of the share

0:35:15.560 --> 0:35:17.880
<v Speaker 4>scale of money being raised quite yet or deployed here

0:35:18.440 --> 0:35:22.200
<v Speaker 4>is diversity. And we have different industry groups here. It's

0:35:22.239 --> 0:35:23.839
<v Speaker 4>interesting that a lot of the companies that you're backing

0:35:23.920 --> 0:35:25.759
<v Speaker 4>seem to be in image generation, seem to be in

0:35:26.040 --> 0:35:29.080
<v Speaker 4>sort of the advertising creative space.

0:35:29.160 --> 0:35:31.240
<v Speaker 6>I think a Runway, for example, well.

0:35:31.160 --> 0:35:33.360
<v Speaker 10>Runway right based here in New York, looks partnered and

0:35:33.520 --> 0:35:36.000
<v Speaker 10>led the theory feed in that company. They are working

0:35:36.080 --> 0:35:38.719
<v Speaker 10>hand in hand with filmmakers and with producers right in

0:35:38.760 --> 0:35:40.839
<v Speaker 10>their offices in New York City, and so they're working

0:35:41.040 --> 0:35:43.719
<v Speaker 10>not just to add AI as a side thing to

0:35:43.800 --> 0:35:46.840
<v Speaker 10>their workflows, but integrate it directly into their workflow. And

0:35:46.880 --> 0:35:48.719
<v Speaker 10>you've seen a lot of success with that, working with

0:35:48.800 --> 0:35:51.800
<v Speaker 10>both for five hundred companies and those filmmakers in production.

0:35:52.400 --> 0:35:55.400
<v Speaker 4>And I'm pretty sure a little bit of healthy nervousness

0:35:55.600 --> 0:35:58.399
<v Speaker 4>coming from those industry groups that are seeing themselves being

0:35:58.560 --> 0:36:01.439
<v Speaker 4>well and many would say disrupt by the pace of AI.

0:36:01.960 --> 0:36:03.800
<v Speaker 4>Gratis Fords, So great to have her on just on

0:36:03.880 --> 0:36:05.920
<v Speaker 4>the nexus of everything that's happening in a world at

0:36:05.960 --> 0:36:08.600
<v Speaker 4>the moment, Lu's capital partner, and we're talking at to

0:36:08.640 --> 0:36:11.239
<v Speaker 4>you about well another portfolio company of their right now.

0:36:12.280 --> 0:36:15.399
<v Speaker 5>Yeah, Hugging Face. And actually, as a reminder, the big

0:36:15.440 --> 0:36:18.479
<v Speaker 5>story we've been tracking this week is the fallout from

0:36:18.640 --> 0:36:23.719
<v Speaker 5>Gemini alphabet or Google's generatorve AI text and image generating

0:36:23.880 --> 0:36:27.480
<v Speaker 5>tool that has come in for criticism and elicited a

0:36:27.600 --> 0:36:32.080
<v Speaker 5>response from Sunder Pitchi, the CEO of Google, who called

0:36:32.239 --> 0:36:36.000
<v Speaker 5>some of the deficiencies unacceptable. Let's bring in Hugging Face

0:36:36.120 --> 0:36:40.000
<v Speaker 5>Research and chief ethics scientists Margaret Mitchell Murrett. You have

0:36:40.080 --> 0:36:43.840
<v Speaker 5>your own history with the academic body of Google that

0:36:43.920 --> 0:36:47.040
<v Speaker 5>we can get into. But yeah, that's right. We're showing

0:36:47.160 --> 0:36:52.080
<v Speaker 5>Sunder pitch Eye's statement right now about what happened with Gemini.

0:36:52.560 --> 0:36:54.040
<v Speaker 5>The reason we really want to get you on the

0:36:54.080 --> 0:36:58.960
<v Speaker 5>show is can this be fixed technologically speaking in the

0:36:59.040 --> 0:36:59.560
<v Speaker 5>short term?

0:37:00.760 --> 0:37:01.839
<v Speaker 6>Yeah, it actually can.

0:37:02.000 --> 0:37:04.760
<v Speaker 11>So there's a few different approaches to handling the different

0:37:04.760 --> 0:37:06.760
<v Speaker 11>ways that people are going to be using these systems,

0:37:07.080 --> 0:37:09.160
<v Speaker 11>and one is to have a bunch of different models

0:37:09.239 --> 0:37:12.800
<v Speaker 11>under the hood that end up figuring out what different

0:37:12.880 --> 0:37:18.000
<v Speaker 11>users intent is and providing different kinds of responses based

0:37:18.040 --> 0:37:19.239
<v Speaker 11>on what the user intent is.

0:37:19.560 --> 0:37:20.759
<v Speaker 6>So it should be fixable.

0:37:21.239 --> 0:37:23.120
<v Speaker 11>I'm a little surprised it's taking so long, but I

0:37:23.160 --> 0:37:23.759
<v Speaker 11>guess we'll see.

0:37:26.080 --> 0:37:28.800
<v Speaker 5>What I'm trying to reconcile in my mind is that

0:37:29.120 --> 0:37:33.320
<v Speaker 5>Google is at the origin story of artificial intelligence, the

0:37:33.360 --> 0:37:36.800
<v Speaker 5>body of R and D or academic work that happened

0:37:37.080 --> 0:37:39.320
<v Speaker 5>more than a decade ago. How do we get to

0:37:39.440 --> 0:37:43.680
<v Speaker 5>this point where they publish a tool where there is

0:37:43.760 --> 0:37:48.040
<v Speaker 5>clear evidence that the model has some deficiencies and evidence

0:37:48.080 --> 0:37:48.719
<v Speaker 5>of biases.

0:37:50.040 --> 0:37:53.080
<v Speaker 11>Yeah, I mean, we've seen Google laying off a lot

0:37:53.120 --> 0:37:58.680
<v Speaker 11>of people, laying off people who are experts in AI ethics,

0:37:58.680 --> 0:38:01.279
<v Speaker 11>which really helps with the kind of issues that they're

0:38:01.360 --> 0:38:04.320
<v Speaker 11>seeing now. I think that Google might be playing a

0:38:04.360 --> 0:38:08.160
<v Speaker 11>bit of catch up, sort of trying to release things

0:38:08.280 --> 0:38:12.279
<v Speaker 11>perhaps before they're fully ready, and also not necessarily having

0:38:12.320 --> 0:38:14.880
<v Speaker 11>the right people at the table to make the decisions.

0:38:15.640 --> 0:38:17.600
<v Speaker 11>So Google's in a very different position than it was,

0:38:17.680 --> 0:38:18.759
<v Speaker 11>you know, twenty years ago.

0:38:19.719 --> 0:38:22.279
<v Speaker 4>It's worth saying what side of the table you're coming

0:38:22.320 --> 0:38:24.640
<v Speaker 4>from and your history with Google, because of course you

0:38:25.000 --> 0:38:28.080
<v Speaker 4>co led Google's ethical AI team.

0:38:28.440 --> 0:38:30.439
<v Speaker 6>You step down from that group.

0:38:30.520 --> 0:38:32.759
<v Speaker 4>You're priate previously of course over at Microsoft, I mean

0:38:32.760 --> 0:38:34.960
<v Speaker 4>you've been everywhere. You've moved over to hugging face to

0:38:35.000 --> 0:38:37.880
<v Speaker 4>really drive the ethical perspective at that particular part of

0:38:37.920 --> 0:38:40.759
<v Speaker 4>the business. But I'm interested is to the lackings, the

0:38:40.800 --> 0:38:42.840
<v Speaker 4>failings that you saw a couple of years ago that

0:38:43.800 --> 0:38:45.800
<v Speaker 4>drew your criticism and ultimately.

0:38:45.400 --> 0:38:46.280
<v Speaker 6>As you left Google.

0:38:47.239 --> 0:38:49.600
<v Speaker 4>Is that what's the edge hit When I think about

0:38:49.640 --> 0:38:51.400
<v Speaker 4>the some of the issues that you say as to

0:38:51.520 --> 0:38:54.160
<v Speaker 4>why this isn't getting fixed as quickly it seems to

0:38:54.200 --> 0:38:57.000
<v Speaker 4>be from you your perspective, A question of personnel here

0:38:57.080 --> 0:39:01.240
<v Speaker 4>and who's got the power to make decisions right right, Yeah.

0:39:01.120 --> 0:39:04.640
<v Speaker 11>It's completely an issue of who's at the table. I mean,

0:39:04.719 --> 0:39:07.400
<v Speaker 11>one of the things that so many UH women and

0:39:07.480 --> 0:39:10.080
<v Speaker 11>people of color speak to in the AI ethics world

0:39:10.160 --> 0:39:12.560
<v Speaker 11>is the need to think about how technology is going

0:39:12.680 --> 0:39:15.600
<v Speaker 11>to be used, how it impacts different people. And we're

0:39:15.640 --> 0:39:19.080
<v Speaker 11>really not seeing that kind of consideration in the way

0:39:19.160 --> 0:39:23.200
<v Speaker 11>that these technologies are being unrolled. So it really seems

0:39:23.239 --> 0:39:26.560
<v Speaker 11>to be that there isn't enough clear thinking about foresight,

0:39:26.960 --> 0:39:31.000
<v Speaker 11>about context of use, about the social impact. And these

0:39:31.040 --> 0:39:33.400
<v Speaker 11>are things that a lot of people who specialize in

0:39:33.680 --> 0:39:37.640
<v Speaker 11>in things like AI ethics responsible AI m many of

0:39:37.719 --> 0:39:42.800
<v Speaker 11>whom are underrepresented in technology. You know, we're we're not

0:39:42.880 --> 0:39:45.400
<v Speaker 11>seeing this kind of insight, which means that there might

0:39:45.480 --> 0:39:47.480
<v Speaker 11>not be the right people, and the people there might

0:39:47.520 --> 0:39:49.480
<v Speaker 11>be more disempowered than they should be.

0:39:49.840 --> 0:39:52.799
<v Speaker 4>And the model that this is then l unleashed upon

0:39:53.360 --> 0:39:55.719
<v Speaker 4>is in an environment of a cultur wars, some might

0:39:55.800 --> 0:39:58.799
<v Speaker 4>call it. Margaret, I'm interested though, what for me as

0:39:58.800 --> 0:40:03.360
<v Speaker 4>a consumer could be made clearer? How can transformation, How

0:40:03.440 --> 0:40:06.680
<v Speaker 4>can me understanding what's going on under the hood be

0:40:06.840 --> 0:40:07.680
<v Speaker 4>better served to me?

0:40:07.800 --> 0:40:09.000
<v Speaker 6>So I understand where.

0:40:08.880 --> 0:40:13.120
<v Speaker 4>I perhaps can show my preferences, my needs my choices

0:40:13.160 --> 0:40:16.000
<v Speaker 4>when it comes to the images being generated, right right.

0:40:16.400 --> 0:40:19.560
<v Speaker 11>So one thing that actually people are familiar with with

0:40:19.760 --> 0:40:23.439
<v Speaker 11>Google image search is when you type in some sort

0:40:23.440 --> 0:40:25.960
<v Speaker 11>of query, some prompt to get a set of images,

0:40:26.840 --> 0:40:29.799
<v Speaker 11>there's a bunch of different boxes you can select from

0:40:29.960 --> 0:40:33.000
<v Speaker 11>that get at different things you might use. In the past,

0:40:33.080 --> 0:40:35.360
<v Speaker 11>Google has actually been very good at this, trying to

0:40:35.440 --> 0:40:39.040
<v Speaker 11>give users an option to specify the kinds of intents

0:40:39.239 --> 0:40:41.480
<v Speaker 11>that they have in what they're trying to search for,

0:40:41.960 --> 0:40:45.800
<v Speaker 11>and then further refining based on that. So that technology

0:40:45.880 --> 0:40:48.240
<v Speaker 11>is there. It's something that Google actually has a history

0:40:48.440 --> 0:40:52.680
<v Speaker 11>of developing and developing well. This same kind of approach

0:40:52.800 --> 0:40:55.800
<v Speaker 11>could be put into any sort of chatbot system, be

0:40:55.880 --> 0:40:59.759
<v Speaker 11>it more generative or not, where users are shown as

0:41:00.040 --> 0:41:03.200
<v Speaker 11>a selection that they can choose among to get at

0:41:03.239 --> 0:41:05.560
<v Speaker 11>the kinds of things that they would like. There's also

0:41:05.640 --> 0:41:08.080
<v Speaker 11>the possibility to have a back and forth in order

0:41:08.560 --> 0:41:11.200
<v Speaker 11>for the system to ask the user for a little

0:41:11.239 --> 0:41:15.160
<v Speaker 11>bit more specificity. Users could potentially set preferences and the

0:41:15.239 --> 0:41:19.719
<v Speaker 11>system could also show a variety of different things regardless

0:41:19.840 --> 0:41:23.799
<v Speaker 11>of different boxes users might check. They could say, here's

0:41:23.800 --> 0:41:27.160
<v Speaker 11>a historical image, here's the world, as it could be

0:41:27.640 --> 0:41:29.440
<v Speaker 11>you know, let me know more about what you'd like

0:41:29.560 --> 0:41:31.759
<v Speaker 11>to see practical takeaways.

0:41:31.960 --> 0:41:35.239
<v Speaker 4>We really appreciate you for it. Margaret Mitchell of Hugging Face.

0:41:35.280 --> 0:41:38.360
<v Speaker 4>Of course, she was previously founder and co led Google's

0:41:38.920 --> 0:41:44.040
<v Speaker 4>ethical AI group. The SEC while it's investigating where the

0:41:44.080 --> 0:41:47.120
<v Speaker 4>open Ai investors were misled as the startup went through

0:41:47.200 --> 0:41:49.920
<v Speaker 4>a ferocious debate of a leadership last year. This is

0:41:49.920 --> 0:41:52.160
<v Speaker 4>all being reported by the Wall Street Journal, citing people

0:41:52.200 --> 0:41:54.920
<v Speaker 4>familiar with the probe. Now the Securities in Exchange Commission

0:41:55.040 --> 0:41:59.200
<v Speaker 4>is studying internal communications by CEO Simulman in relation to

0:41:59.280 --> 0:42:01.719
<v Speaker 4>his ouster reports said, now the SEC has sent a

0:42:01.760 --> 0:42:04.840
<v Speaker 4>subpoena to the company in December, and our senior OpenAI

0:42:04.960 --> 0:42:08.120
<v Speaker 4>officials to preserve internal documents now to regain his job,

0:42:08.200 --> 0:42:12.560
<v Speaker 4>remember ed Altman agreed to an internal investigation among other conditions,

0:42:12.600 --> 0:42:13.680
<v Speaker 4>and we get to see the outcome.

0:42:14.600 --> 0:42:17.320
<v Speaker 5>Yeah, we wait the outcome. There are the private investors

0:42:17.400 --> 0:42:19.759
<v Speaker 5>in a complex cap table, and then there are the

0:42:19.840 --> 0:42:23.600
<v Speaker 5>Microsoft investors, because remember in the public markets, Microsoft shares

0:42:23.640 --> 0:42:26.359
<v Speaker 5>reacted to the chaos which you and I both live through.

0:42:27.239 --> 0:42:31.120
<v Speaker 4>Feels an age away, but of course there's still debate

0:42:31.239 --> 0:42:33.080
<v Speaker 4>rages on. Meanwhile, That does it for this edition of

0:42:33.080 --> 0:42:33.960
<v Speaker 4>Bloombog Technology.

0:42:34.840 --> 0:42:37.200
<v Speaker 5>Big thanks to everyone who listens to the podcast. We

0:42:37.320 --> 0:42:38.560
<v Speaker 5>know there are a lot of you out there. We're

0:42:38.600 --> 0:42:42.279
<v Speaker 5>on Spotify, iHeart Apple, and the Bloomberg platforms. Gosh, what

0:42:42.360 --> 0:42:44.879
<v Speaker 5>a week it's been. From San Francisco and New York City.

0:42:45.080 --> 0:42:46.320
<v Speaker 5>This is Bloomberg Technology.