WEBVTT - Apple's Glucose Tracking and Tesla Comes Back to California

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<v Speaker 1>I'm Caroline hired at Bloomberg's world headquarters in New York.

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<v Speaker 1>This is Bloomberg Technology coming up. Apple making headway bringing

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<v Speaker 1>its latest Moonshot style project to reality with a focus

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<v Speaker 1>on glucose tracking. We'll bring you our Bloomberg exclusive. Meanwhile,

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<v Speaker 1>a California company again, Tesla announces it's chosen Palo Alto

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<v Speaker 1>for the company's global engineering headquarters. Will have more on

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<v Speaker 1>Elon's improving relations with a Golden State class. We stick

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<v Speaker 1>with autos for an exclusive conversation with the CEO of

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<v Speaker 1>Mercedes from evs to automos driving will cover it. All

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<v Speaker 1>that and so much more coming up, including earnings that

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<v Speaker 1>finally come from Nvidia. Let's get into Apple because as

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<v Speaker 1>when we saw some gyrations throughout the stock on the day,

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<v Speaker 1>look at this peak high at about two o'clock that

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<v Speaker 1>was New York time. Why because we've got a scoop.

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<v Speaker 1>We got indeed some exclusive reporting coming from Markman, who

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<v Speaker 1>broke a story all regarding the next Moonshot coming from Apple,

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<v Speaker 1>the focus on glucose tracking. Mark German, you're with us,

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<v Speaker 1>just talk us through what indeed this is going to be.

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<v Speaker 1>It's all about the watch, right all about the watch,

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<v Speaker 1>all about healthcare, all about glucose tracking. Really the holy

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<v Speaker 1>grail for a smart watch to be able to tell

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<v Speaker 1>you all of your health metrics. And one of the

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<v Speaker 1>most important health metrics, as we all know, is blood

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<v Speaker 1>sugar or blood glucose monitoring. You want to know how

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<v Speaker 1>much glucose is in your body because that's an indicator

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<v Speaker 1>of pre diabetes or type two diabetes or other health conditions.

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<v Speaker 1>And today getting that data requires the prick of a skin,

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<v Speaker 1>right or a blood draw from your veins. What Apple

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<v Speaker 1>wants to do is it wants to create a system

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<v Speaker 1>using chips, sensors, software, algorithms built into the Apple Watch

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<v Speaker 1>to get a read on how much glucose you have

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<v Speaker 1>in your blood without needing a blood sample. Okay, everyone

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<v Speaker 1>that views this show wants to understand the innovation, the

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<v Speaker 1>actual technology behind this. What is new? How is this

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<v Speaker 1>different from what's already on the market. Well, two terms,

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<v Speaker 1>I'll give you one, optical spectroscopy right in the other

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<v Speaker 1>silicon photonics. Those are some pretty hardcore types of technologies

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<v Speaker 1>that Apple's working on to make this happen. Right. This

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<v Speaker 1>means that the technology will use a chip that can

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<v Speaker 1>output light or lasers right into your skin and read

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<v Speaker 1>how much glucose is in your what's known as interstitial fluid.

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<v Speaker 1>That's the fluid that comes out of your blood capillaries,

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<v Speaker 1>and everyone has that fluid across their body. And it

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<v Speaker 1>could use lasers shoote to your skin, and then it

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<v Speaker 1>has sensors that could read right the concentration of light

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<v Speaker 1>in your skin to know how much glucose is there

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<v Speaker 1>in order to get that reading innovation hit right there

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<v Speaker 1>for US mark interesting JP Morgan saying, for now, this

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<v Speaker 1>isn't a threat to device makers, but what about the

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<v Speaker 1>people behind this mark he's building it. Yeah, it's definitely

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<v Speaker 1>not a threat device makers right now because this is

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<v Speaker 1>not going to hit the market probably for another three

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<v Speaker 1>to five years. So I would agree with JP Morgan

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<v Speaker 1>that if something is not hitting for three years, it's

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<v Speaker 1>not going to have an impact. And also after it arrives,

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<v Speaker 1>right there is such a big market share already from Abbott,

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<v Speaker 1>index Com and other providers, and it's going to take

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<v Speaker 1>time for Apple to penetrate that market and get the

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<v Speaker 1>regulation they're looking for. So you know, I would agree,

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<v Speaker 1>at least in the short term in terms of who's

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<v Speaker 1>behind this. Apple has a secret moonshots team called the

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<v Speaker 1>Exploratory Design Group, and this is the team developing this moonshot,

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<v Speaker 1>along with other projects, as well as Apple's health team

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<v Speaker 1>and hardware engineering and software engineering teams. Fascinating. One of

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<v Speaker 1>the most read on the Terminal dot com. Mark German,

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<v Speaker 1>as always, we thank you. Let's get to the breaking

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<v Speaker 1>news that just came. Finally, we've been tracking in videos, earnings,

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<v Speaker 1>postmarket reaction as well to deep dive on the analysis

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<v Speaker 1>of why it's rising after as bloomugg intelligence, as man

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<v Speaker 1>Leap saying, is here with us more than seven percent rally.

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<v Speaker 1>We like the forecast well, so clearly the data center

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<v Speaker 1>was the focus and they did quite well. Although it

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<v Speaker 1>was below consensus, the guidance suggests the data centers spend

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<v Speaker 1>will hold up. And remember data centers directly tied to

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<v Speaker 1>the enterprise tex spending and their CAPEX spend. If all

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<v Speaker 1>the cloud providers are investing, you know, in building more

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<v Speaker 1>cloud capacity, a lot of that spending is going towards

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<v Speaker 1>in videos data centers spend, and I think that's where

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<v Speaker 1>market is excited that, you know, you're not seeing the

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<v Speaker 1>sort of inventory correction we see on the PC side

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<v Speaker 1>with Intel, you know, cutting their forecasts. That's not the

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<v Speaker 1>case with enterprise chips, and so far, enterprise tex spending

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<v Speaker 1>has held up across the board, even when it comes

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<v Speaker 1>to you know, software side, and that's what you see

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<v Speaker 1>on the chip side as well. So so when I

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<v Speaker 1>think data centers, I think artificial intelligence. I look at

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<v Speaker 1>the statement and it says AI is at an inflection

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<v Speaker 1>point setting up a broad adoption reaching into every industry.

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<v Speaker 1>How much is the video set to benefit? Well, so

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<v Speaker 1>they are the leaders when it comes to developing these

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<v Speaker 1>chips for whether it's for chatchee PT or for automotive

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<v Speaker 1>or anything that has to do with you know, parallel processing.

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<v Speaker 1>A GPU type of chip, you can find a lot

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<v Speaker 1>of use cases and that's what they've done well in

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<v Speaker 1>terms of diversifying that top line. I think Intel's biggest

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<v Speaker 1>problem is the fact that they were never able to

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<v Speaker 1>go beyond PCs. Guess what, Nvidia has done that very well,

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<v Speaker 1>and they're able to find these new use cases for

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<v Speaker 1>their GPU chips. Even the gaming segment actually did better

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<v Speaker 1>than expected. Yes, it declined, but you can see once

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<v Speaker 1>the market has a cyclical rebound. Their position very well

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<v Speaker 1>on the gaming side, So that's why you see that

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<v Speaker 1>stock reaction. Although I don't know if Nvidia should be

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<v Speaker 1>trading at five times market cap of Intel, even though

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<v Speaker 1>Intel's revenue is two times bigger. So time will tell

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<v Speaker 1>if evaluation could be a question. Valuations mandy, but notable

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<v Speaker 1>the Intel today. The news was the slashing of the

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<v Speaker 1>dividend at a time that we are worried about boom

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<v Speaker 1>bust cycles. Anything in Nvidia that caused you cause for concern, Well,

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<v Speaker 1>so one is gross margins is very important. This quarter

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<v Speaker 1>they went back to mid sixty percent. Anytime you see

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<v Speaker 1>a chip company trading at mid sixty percent ross margin,

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<v Speaker 1>I'm worried because guess what. As a sector, chip sector

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<v Speaker 1>doesn't command those high gross margins, those high ESPs. Over time,

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<v Speaker 1>it gets commodit highs other players catch up, and it's

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<v Speaker 1>very hard for a chip company to sustain those kind

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<v Speaker 1>of gross margins without layering on software, which is what

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<v Speaker 1>NVIDIAs plays. They want more software on their chips. Interesting,

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<v Speaker 1>we've got breaking news coming from the coal The CFO

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<v Speaker 1>currently sagment Invidios saw orders pause as a timing issue.

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<v Speaker 1>This is to do with the cloud service providers pausing

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<v Speaker 1>orders in the fourth quarter. What does that signal to you?

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<v Speaker 1>That is direct CAPEX spend from the cloud providers. And

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<v Speaker 1>that's the other risk with Nvidia is the customer concentration.

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<v Speaker 1>A lot of that data center revenue, which is a

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<v Speaker 1>fifteen billion dollars run rate, is driven by these hyperscalers,

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<v Speaker 1>which are four or five customers. They are the ones

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<v Speaker 1>who are building cloud capacity. And we all expect a

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<v Speaker 1>digestion phase and it comes to cloud spending. It's not

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<v Speaker 1>as if it's not going to come back, but because

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<v Speaker 1>these companies have been spending, you know, CAPEX, growing it

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<v Speaker 1>at elevated levels, there will be a pause and it

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<v Speaker 1>could be a two quarter pause, it could be four quarters.

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<v Speaker 1>I think that's where they're talking about. Probably order growth sline.

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<v Speaker 1>We'll let you get back to the cool and everyone

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<v Speaker 1>will digest it. Always great to get your remedia analysis

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<v Speaker 1>for the man intelligence is man deep sing well. The

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<v Speaker 1>challenge for the industry in the next three to four

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<v Speaker 1>years is to absorb the additional cost of electrification, to

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<v Speaker 1>protect affordability and make sure that middle classes can buy

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<v Speaker 1>pure evs at an affordable price. Does that mean job cuts?

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<v Speaker 1>It means that we are not excluding anything from the

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<v Speaker 1>task of absorbing the cost of electrification. The Lantis see

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<v Speaker 1>Carlos Tebreras saying that the company that makes jeeps makes

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<v Speaker 1>them as a raalties may have to further adapt its

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<v Speaker 1>industrial footprint in the United States and indeed in Europe

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<v Speaker 1>as a consequence of the expensive shift to evs. That's

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<v Speaker 1>nothing off the table, of course, even additional job cuts

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<v Speaker 1>to further cut down on costs. So now let's talk

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<v Speaker 1>to another key player in the industry. Probe plea to say, ed,

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<v Speaker 1>you're standing by with the leader of Mercedes. Yeah, we

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<v Speaker 1>joined by all the Collonne as chairman of the management

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<v Speaker 1>board is of Mercedes. We're here in the heart of

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<v Speaker 1>Silicon Valley in Sunnyvale. Why why have you come all

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<v Speaker 1>this way to talk to me about software? Where we're

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<v Speaker 1>here at the tech center in Suny Vale from Mercedes

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<v Speaker 1>pans that we have had now for more than twenty

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<v Speaker 1>five years. So we have always been here in the

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<v Speaker 1>valley working with innovative tech partners, and we thought it

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<v Speaker 1>was a fitting place to actually describe what the future

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<v Speaker 1>of software and the corres corresponding hardware looked like. In Mercedes,

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<v Speaker 1>we have a lot of grounds to cover. But I

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<v Speaker 1>want to start by asking you how high does software

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<v Speaker 1>rank as a priority for messees and all of the

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<v Speaker 1>things that you're trying to achieve broadly and electrification, but

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<v Speaker 1>also in autonomous driving. Software is absolutely a core competence

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<v Speaker 1>for the car of the future. So we have been

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<v Speaker 1>building up our software competence gradually over the last years.

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<v Speaker 1>But this is a space that is so broad that

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<v Speaker 1>even if you make yourself the architect of your own

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<v Speaker 1>operating system, you don't have to do everything yourself. You

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<v Speaker 1>need partnering as well. Well, let's jump into that. So

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<v Speaker 1>you have announced a deeper relationship with Google, and it's

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<v Speaker 1>a license agreement. You pay Google for help in building

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<v Speaker 1>out your operating system. Why did you do that instead

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<v Speaker 1>of taking advantage of open source software or just doing

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<v Speaker 1>it yourself. The core of the relationship with Google, the

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<v Speaker 1>strategic partnership that we have formed, is our joint vision

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<v Speaker 1>of taking technology to the next level. Everybody knows Google Maps,

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<v Speaker 1>Google Navigation, and of course YouTube on the entertainment side,

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<v Speaker 1>where we said, what do our customers want? It's all

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<v Speaker 1>about delivering a superior customer experience. So we sat down

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<v Speaker 1>with a Google team and sent what can we do together,

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<v Speaker 1>how can we make navigation in the car go to

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<v Speaker 1>the next level? And that sparked a deeper conversation, and

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<v Speaker 1>here we are announcing a partnership today. Marcus Schaefer, your

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<v Speaker 1>CTO set out the ultimate goal, which is to have

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<v Speaker 1>no screen mirroring, no need to plug in the phone.

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<v Speaker 1>The operating system is all you ever need. But you

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<v Speaker 1>can't get away from the fact that Google through Android

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<v Speaker 1>Auto or Apple through car Play, they are making their

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<v Speaker 1>own moves into this market. How do you reconcile that

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<v Speaker 1>Google's own ambitions with your partnership and your kind of

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<v Speaker 1>want to take control of the software architecture. If you

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<v Speaker 1>take the look at the Mercedes now what it's going

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<v Speaker 1>to be in the future. First of all, you have

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<v Speaker 1>this mind boggling wide screen in the car, and you

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<v Speaker 1>can present anything and everything on that screen. And this

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<v Speaker 1>is where we shouldn't make the mistake of just looking

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<v Speaker 1>at entertainment alone, but think about across domains entertainment interacting

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<v Speaker 1>with the assistance system and automated driving. So you can

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<v Speaker 1>marry navigation with driving assistance and automated driving and create

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<v Speaker 1>whole new use cases and only a vehicle manufacturer is

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<v Speaker 1>in the position to integrate all the different pieces of

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<v Speaker 1>the vehicle down to immersive experiences is music and entertainment

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<v Speaker 1>where you even use the climate control, the scent in

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<v Speaker 1>the car, the subwoofers in the seat to create four

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<v Speaker 1>D sound. All of those things make it a compelling

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<v Speaker 1>argument to go for an integrated approach. But we don't

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<v Speaker 1>have an antagonistic relationship with any one of these tech players.

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<v Speaker 1>We work with them to take their valuable assets digital

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<v Speaker 1>assets and put it into our system. So this is

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<v Speaker 1>really a win win as part of that software strategy.

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<v Speaker 1>Are you actively hiring you know, Google is one example

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<v Speaker 1>of many names in Silicon Valley that have done layoffs recently.

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<v Speaker 1>There is a lot of software engineering talent on the

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<v Speaker 1>market at the moment we are actively hiring. And whereas

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<v Speaker 1>we work with software for many many years, these last

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<v Speaker 1>three or four or five years have really been a

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<v Speaker 1>paradigm shift for us where we're going for partial vertical

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<v Speaker 1>integration and we set out the target a few years

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<v Speaker 1>ago to add another three thousand software engineers to the

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<v Speaker 1>Mercedes team, and we have almost accomplished that already. But

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<v Speaker 1>if we find the right talent in the market, that

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<v Speaker 1>supplements our team. Yes, we are hiring. How much of

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<v Speaker 1>a competitive mode do you feel Mercedes has in the

0:12:43.679 --> 0:12:46.400
<v Speaker 1>theater of software. Do you think that you are actually

0:12:46.840 --> 0:12:48.559
<v Speaker 1>going to be able to do this on your own

0:12:48.600 --> 0:12:53.840
<v Speaker 1>two feet? Absolutely? As an architect of the operating system, yes,

0:12:54.520 --> 0:12:59.800
<v Speaker 1>we have laid out what the whole system is supposed

0:12:59.840 --> 0:13:02.000
<v Speaker 1>to do and it's going to be capable of doing.

0:13:02.480 --> 0:13:05.160
<v Speaker 1>But when you build a software house, you don't have

0:13:05.240 --> 0:13:07.720
<v Speaker 1>to lay every single brick yourself or put up every

0:13:07.800 --> 0:13:11.320
<v Speaker 1>single pile in the bathroom. And that's why you leverage

0:13:11.600 --> 0:13:15.120
<v Speaker 1>tech partnerships. You've got to be in control, asked the architect.

0:13:15.200 --> 0:13:18.760
<v Speaker 1>But leverage tech partnerships and make sure that you work

0:13:18.960 --> 0:13:21.840
<v Speaker 1>with the best to deliver the ultimate customer experience. Self

0:13:21.920 --> 0:13:25.360
<v Speaker 1>driving was another part of today. Thank you for the ride.

0:13:25.440 --> 0:13:28.280
<v Speaker 1>This morning, I went out and took a Level three

0:13:28.920 --> 0:13:32.160
<v Speaker 1>ride using drive pilot on the freeway. It was limited

0:13:32.200 --> 0:13:35.839
<v Speaker 1>to a certain extent. What caught my ear during the

0:13:35.920 --> 0:13:39.600
<v Speaker 1>presentations was fifty percent of net sales for autonomous software

0:13:39.800 --> 0:13:42.839
<v Speaker 1>will go to your partner. And Vidia taught me through

0:13:42.920 --> 0:13:45.400
<v Speaker 1>that relationship and why you went that route to develop

0:13:45.520 --> 0:13:50.439
<v Speaker 1>the compute. We are the first manufacturer that certified a

0:13:50.520 --> 0:13:54.000
<v Speaker 1>Level three system that you drove today, So actually true

0:13:54.000 --> 0:13:57.200
<v Speaker 1>autonomy in this case on the highway in heavy traffic.

0:13:57.280 --> 0:14:00.559
<v Speaker 1>So now we're taking the first few steps here for

0:14:01.520 --> 0:14:04.679
<v Speaker 1>individual mobility where really the car is going to give

0:14:04.760 --> 0:14:08.480
<v Speaker 1>you back the most valuable gift of all time. In

0:14:08.600 --> 0:14:11.800
<v Speaker 1>the relationship within video that we formed about three years ago,

0:14:12.480 --> 0:14:15.280
<v Speaker 1>both parties said, here, okay, listen, let's take this to

0:14:15.400 --> 0:14:18.440
<v Speaker 1>the next level. But let's find another business model where

0:14:18.720 --> 0:14:22.360
<v Speaker 1>both parties invest into the partnership. Yes, but also in

0:14:22.480 --> 0:14:27.120
<v Speaker 1>an intelligent and equitable way, can reap benefits from the partnership.

0:14:27.200 --> 0:14:31.240
<v Speaker 1>So this is a combined risk and reward partnership that

0:14:31.440 --> 0:14:34.600
<v Speaker 1>we think not only technologically but economically is going to

0:14:34.680 --> 0:14:36.720
<v Speaker 1>work really well for both parties. And you know it's

0:14:36.720 --> 0:14:38.800
<v Speaker 1>available in Nevada at the moment, you have a permit,

0:14:38.880 --> 0:14:42.160
<v Speaker 1>you're awaiting California. You talk about this goal of a

0:14:42.240 --> 0:14:46.239
<v Speaker 1>billion euros of EBIT by I think mid decade, generated

0:14:46.320 --> 0:14:49.440
<v Speaker 1>in part from autonomous software. How big is the market

0:14:49.480 --> 0:14:51.640
<v Speaker 1>here in the United States for that or is this

0:14:51.840 --> 0:14:54.200
<v Speaker 1>large You're going to be driven out of Europe. Now,

0:14:54.360 --> 0:14:56.200
<v Speaker 1>United States going to be an important market for US,

0:14:56.240 --> 0:14:59.000
<v Speaker 1>and it's a growing market, so it's about increasing the

0:14:59.120 --> 0:15:01.960
<v Speaker 1>envelope and writing more and more use cases in the

0:15:02.080 --> 0:15:07.000
<v Speaker 1>automated drive space all the way up then to autonomous

0:15:07.080 --> 0:15:10.640
<v Speaker 1>drive level three, drive on highway, on the interstate, and

0:15:10.800 --> 0:15:13.360
<v Speaker 1>in fact the system that we're working on for the

0:15:13.480 --> 0:15:15.520
<v Speaker 1>next generation, we want to take that well above a

0:15:15.640 --> 0:15:18.400
<v Speaker 1>hundred kilometers an hour and then it starts becoming really

0:15:18.480 --> 0:15:20.920
<v Speaker 1>really relevant if you're going on a longer trip, and

0:15:21.160 --> 0:15:24.520
<v Speaker 1>do we believe that we can monetize that absolutely. Tesla

0:15:25.080 --> 0:15:27.520
<v Speaker 1>has a very clear approach of how they package full

0:15:27.600 --> 0:15:31.320
<v Speaker 1>self driving an autopilot. They've had their own use today.

0:15:31.360 --> 0:15:35.720
<v Speaker 1>Of course, how do you decide, Mercedes what you charge

0:15:35.800 --> 0:15:37.600
<v Speaker 1>for and what you don't charge for. You put a

0:15:37.640 --> 0:15:40.920
<v Speaker 1>lot of emphasis throughout the whole day on the customer experience,

0:15:41.000 --> 0:15:44.160
<v Speaker 1>this having to be what the customer wants. But ultimately,

0:15:44.200 --> 0:15:46.040
<v Speaker 1>if you draw up the list, it's a long list

0:15:46.120 --> 0:15:48.760
<v Speaker 1>of things that you pay for on top of your car.

0:15:50.320 --> 0:15:53.720
<v Speaker 1>The good thing with MBOs is that the whole car,

0:15:54.120 --> 0:15:56.880
<v Speaker 1>every single aspect of the car in terms of electric

0:15:56.960 --> 0:16:02.320
<v Speaker 1>electronic architecture, it's digital backbone, will be over the air reachable,

0:16:03.160 --> 0:16:07.920
<v Speaker 1>so we can make your car actually become better with time,

0:16:08.040 --> 0:16:11.840
<v Speaker 1>it doesn't age, it actually gets more functionality over time.

0:16:12.560 --> 0:16:15.200
<v Speaker 1>Some of the functions they're going to be base functions,

0:16:15.320 --> 0:16:18.320
<v Speaker 1>which is just embedded in the basic price of the vehicle,

0:16:18.840 --> 0:16:21.800
<v Speaker 1>but much of the additional stuff, and especially in the

0:16:21.920 --> 0:16:26.520
<v Speaker 1>ultimated driving space, we feel are so attractive that they

0:16:26.600 --> 0:16:30.520
<v Speaker 1>can be monetized or local Ennius, Chairman of the management Board, Mercedes,

0:16:30.520 --> 0:16:33.320
<v Speaker 1>thank you for having us here in Sunny Vale releasing

0:16:33.360 --> 0:16:37.120
<v Speaker 1>your news out here in California, Caroline. Big emphasis on software,

0:16:37.160 --> 0:16:39.760
<v Speaker 1>which they say could reach up to ten billion dollars

0:16:39.800 --> 0:16:41.920
<v Speaker 1>of sales from a software aspected by the end of

0:16:41.960 --> 0:16:43.800
<v Speaker 1>the decade, is something you just got to keep an

0:16:43.800 --> 0:16:46.360
<v Speaker 1>eye on. I know you will. I know we will,

0:16:46.560 --> 0:16:48.480
<v Speaker 1>thanks to Ed And of course we've got to keep

0:16:48.480 --> 0:16:50.840
<v Speaker 1>an eye on what's happening over with Tesra as well.

0:16:50.960 --> 0:16:53.720
<v Speaker 1>Today we're focusing on California. We'll bring in the details

0:16:53.720 --> 0:16:57.120
<v Speaker 1>of the company's new engineering headquarters in the Golden State,

0:16:57.640 --> 0:16:59.080
<v Speaker 1>and then let's have a quick check on some of

0:16:59.080 --> 0:17:03.400
<v Speaker 1>the earnings that come aftermarket and the aftermarket movement therefore

0:17:03.440 --> 0:17:06.280
<v Speaker 1>in stocks eBay. The one we shine a light on now,

0:17:06.760 --> 0:17:08.520
<v Speaker 1>that's Tesla after hours. I want to flick it on

0:17:08.560 --> 0:17:10.719
<v Speaker 1>to what's happening with eBay after Hours, because we did

0:17:10.800 --> 0:17:15.359
<v Speaker 1>see fourth cornernet revenue beating expectations, therefore looking guidance also

0:17:15.480 --> 0:17:19.280
<v Speaker 1>beating expectations, but not enough seven straight quarters of active

0:17:19.359 --> 0:17:22.480
<v Speaker 1>buyers on the downside. And even though this looks sign

0:17:22.560 --> 0:17:24.959
<v Speaker 1>might be a pivot point in terms of its sales,

0:17:25.400 --> 0:17:28.439
<v Speaker 1>it's not enough for investors. We're currently falling for eBay

0:17:28.600 --> 0:17:31.119
<v Speaker 1>after Hours. We're bringing those shares In a moment from

0:17:31.160 --> 0:17:44.840
<v Speaker 1>New York, from San Francisco, the sib Blomberg Tech meets Politics,

0:17:45.080 --> 0:17:47.520
<v Speaker 1>Elon Musk and Gammon Newsome and out saying a new

0:17:47.640 --> 0:17:52.040
<v Speaker 1>Tesla Global Engineering headquarters in Palo Alto, California earlier today

0:17:52.119 --> 0:17:54.639
<v Speaker 1>a sign of well, at least some corporation between the

0:17:54.720 --> 0:17:57.640
<v Speaker 1>electric vehicle maker and the state it once called home.

0:17:58.080 --> 0:18:01.280
<v Speaker 1>Joining us for more s Bloomberg's Dana Hall and is

0:18:01.320 --> 0:18:03.480
<v Speaker 1>this a sort of thoring of relations because I thought

0:18:03.560 --> 0:18:06.080
<v Speaker 1>Tesla hot footed it out of California in twenty twenty one.

0:18:06.920 --> 0:18:09.240
<v Speaker 1>Well that's what everyone thinks. I mean, the company moved

0:18:09.280 --> 0:18:12.159
<v Speaker 1>its corporate headquarters to Austin, Texas, but it still has

0:18:12.240 --> 0:18:16.320
<v Speaker 1>over forty seven thousand employees in California, including many engineers

0:18:16.400 --> 0:18:19.280
<v Speaker 1>it's auto pilot team. And then the announcement today is

0:18:19.280 --> 0:18:22.520
<v Speaker 1>just kind of a proofpoint that, like, you know, Tesla's

0:18:22.600 --> 0:18:25.200
<v Speaker 1>still very much a California company, even if their corporate

0:18:25.240 --> 0:18:28.159
<v Speaker 1>headquarters and their new factory is in Texas. Exactly what

0:18:28.280 --> 0:18:32.080
<v Speaker 1>Gavin Newsom said, it's a California company, forty seven thousand

0:18:32.200 --> 0:18:35.160
<v Speaker 1>employees still here. But he has been known to criticize

0:18:35.200 --> 0:18:39.560
<v Speaker 1>in a musk the tax system, the liberal politics. Will

0:18:39.600 --> 0:18:43.560
<v Speaker 1>he continue to do that. I'm sorry Newsom has not

0:18:43.760 --> 0:18:46.879
<v Speaker 1>criticized Musk directly, but the two have definitely had a

0:18:46.920 --> 0:18:48.720
<v Speaker 1>bit of you know, there was definitely it was definitely

0:18:48.760 --> 0:18:51.760
<v Speaker 1>a big blow to California when Tesla moved its headquarters

0:18:51.840 --> 0:18:54.720
<v Speaker 1>to Texas, and Newsom has been very careful not to

0:18:54.800 --> 0:18:57.800
<v Speaker 1>criticize Musk directly. But you know, we're sort of at

0:18:57.840 --> 0:19:00.960
<v Speaker 1>this point in the culture wars where California and Texas

0:19:01.000 --> 0:19:03.320
<v Speaker 1>are often pitted against each other, and I think what

0:19:03.400 --> 0:19:07.040
<v Speaker 1>we're seeing today is that Tesla and Musk himself somewhat

0:19:07.119 --> 0:19:09.159
<v Speaker 1>rarely are making a point that they are still very

0:19:09.280 --> 0:19:12.400
<v Speaker 1>much here in California. They are hiring in California, they're

0:19:12.400 --> 0:19:15.200
<v Speaker 1>engineering headquarters as in Palo Alto, And it was kind

0:19:15.200 --> 0:19:18.840
<v Speaker 1>of a weird announcement. It was relatively short, very few details,

0:19:19.040 --> 0:19:22.000
<v Speaker 1>but significant. Nonetheless, the first time that I can recall

0:19:22.080 --> 0:19:26.040
<v Speaker 1>seeing Newsome and Musk together in the same place in

0:19:26.440 --> 0:19:29.480
<v Speaker 1>like over a decade. Yeah, sorry to make play a

0:19:29.560 --> 0:19:33.560
<v Speaker 1>sort of Musk has been the critique, the criticizer, and

0:19:33.960 --> 0:19:36.440
<v Speaker 1>not Gammon Newsom. In fact, he was sort of praising

0:19:36.960 --> 0:19:40.600
<v Speaker 1>the CEO right, calling him a visionary spirit and for

0:19:40.720 --> 0:19:42.960
<v Speaker 1>his record of innovation. What more are we expecting out

0:19:43.000 --> 0:19:47.200
<v Speaker 1>of California from Tesla at the moment? Well, Tesla is

0:19:47.280 --> 0:19:50.080
<v Speaker 1>expanding here. I mean, they have this huge megapac facility

0:19:50.200 --> 0:19:52.879
<v Speaker 1>in lay Thrip where they're building their massive batteries that

0:19:52.920 --> 0:19:56.400
<v Speaker 1>they're selling to utilities. This engineering headquarters, you know, it's

0:19:56.440 --> 0:19:59.600
<v Speaker 1>basically Tesla is kind of moving its engineering team to

0:19:59.640 --> 0:20:03.560
<v Speaker 1>be old Hewlett Packard offices in Palo Also. I mean,

0:20:03.560 --> 0:20:05.000
<v Speaker 1>I think you're just going to continue to see the

0:20:05.000 --> 0:20:07.520
<v Speaker 1>company grow and expand both here and in Texas. And

0:20:07.720 --> 0:20:10.040
<v Speaker 1>you know, Musk is very sort of adroitly playing both

0:20:10.119 --> 0:20:13.200
<v Speaker 1>sides of the aisle in terms of the politics and

0:20:13.560 --> 0:20:16.600
<v Speaker 1>an optics of all this. It's always about politics and

0:20:16.680 --> 0:20:19.080
<v Speaker 1>optics sometimes and Dana Hall breaks it over town for us.

0:20:19.119 --> 0:20:29.639
<v Speaker 1>We thank you so much. I'm X and from this

0:20:29.840 --> 0:20:32.000
<v Speaker 1>moment on, I'm going to be your own personal AI

0:20:32.119 --> 0:20:36.480
<v Speaker 1>DJ on Spotify. Let's go move over chat Gypt. Here's

0:20:36.480 --> 0:20:40.480
<v Speaker 1>the generative AI. You've been waiting for, your own personalized DJ.

0:20:40.880 --> 0:20:45.000
<v Speaker 1>Spotify is leaning into generative AI. Just as the trend

0:20:45.160 --> 0:20:48.760
<v Speaker 1>is hot. Think how good you're Weekly Discover mixtape is

0:20:48.960 --> 0:20:52.600
<v Speaker 1>or your year wrapped bos new. Is this generative AI

0:20:52.800 --> 0:20:55.200
<v Speaker 1>part because the DJ's gonna be able to give you

0:20:55.320 --> 0:20:57.480
<v Speaker 1>context and commentary as to why you like a song

0:20:57.600 --> 0:21:00.240
<v Speaker 1>and harp in on your own likes and move away

0:21:00.280 --> 0:21:03.119
<v Speaker 1>from it dislikes. All right, Max, let's get you out

0:21:03.160 --> 0:21:05.520
<v Speaker 1>of your fields and switch up to five. The voice

0:21:05.760 --> 0:21:09.200
<v Speaker 1>that the DJ uses authentic. The actual voice is based

0:21:09.240 --> 0:21:12.320
<v Speaker 1>upon the head of Cultural Partnership. Spotify was my dream

0:21:12.359 --> 0:21:14.480
<v Speaker 1>company to work for and now to be the voice

0:21:14.880 --> 0:21:18.280
<v Speaker 1>for so many people and give context to how they listen,

0:21:18.480 --> 0:21:21.320
<v Speaker 1>give them fun facts about the artists and about how

0:21:21.440 --> 0:21:23.320
<v Speaker 1>they listen, and and just serve it up for him.

0:21:23.680 --> 0:21:26.080
<v Speaker 1>For me is a dream come true. What it did

0:21:26.240 --> 0:21:29.520
<v Speaker 1>was create an additional opportunity. So I see this as

0:21:29.680 --> 0:21:33.560
<v Speaker 1>creating a lot more opportunities for creators such as myself

0:21:34.000 --> 0:21:36.920
<v Speaker 1>to be heard and for your talent to be used

0:21:37.160 --> 0:21:40.920
<v Speaker 1>in with AI. You need the human inputs into AI

0:21:41.080 --> 0:21:43.399
<v Speaker 1>to really do it right, where you can connect and

0:21:44.000 --> 0:21:47.280
<v Speaker 1>be authentic and have that sincerity. So for me, I

0:21:47.359 --> 0:21:50.600
<v Speaker 1>think it presents more opportunities as opposed to taking them away.

0:21:50.720 --> 0:21:54.400
<v Speaker 1>This really could be the future. So discoverability in terms

0:21:54.440 --> 0:21:58.879
<v Speaker 1>of music, welcome back to being back technology. I'm Carline,

0:21:58.960 --> 0:22:01.960
<v Speaker 1>Hide in New York and well Spotify there. Crout sounded

0:22:02.000 --> 0:22:06.280
<v Speaker 1>pretty optimistic about its AI DJ, but generative AI has

0:22:06.400 --> 0:22:09.400
<v Speaker 1>had its share of blunders. Perhaps For instance, some journalists

0:22:09.520 --> 0:22:14.399
<v Speaker 1>recently encountered some strange behavior men interacting Microsoft's preview release

0:22:14.480 --> 0:22:16.479
<v Speaker 1>of its own chatbot this month, and it turns out

0:22:16.560 --> 0:22:19.280
<v Speaker 1>look that Microsoft has already spent months trying to fix

0:22:19.359 --> 0:22:23.000
<v Speaker 1>the disturbing responses, which apparently many data as far back

0:22:23.040 --> 0:22:25.440
<v Speaker 1>as November, and it seems to center on a version

0:22:25.800 --> 0:22:29.080
<v Speaker 1>of Microsoft that dubbed Sydney, an older model of the

0:22:29.160 --> 0:22:31.960
<v Speaker 1>Being chatbot that the company tested prior to its release

0:22:32.040 --> 0:22:34.800
<v Speaker 1>this month. Some of those strange interactions were posted on

0:22:34.880 --> 0:22:38.359
<v Speaker 1>the company's online forum. In some instances, Sidney responded with

0:22:38.440 --> 0:22:42.840
<v Speaker 1>comments like you're either desperate or disdilusional. Or in response

0:22:42.880 --> 0:22:45.680
<v Speaker 1>to your query asking how to give feedback about its performance,

0:22:45.960 --> 0:22:48.359
<v Speaker 1>the bond is said to have answered, I do not

0:22:48.560 --> 0:22:52.480
<v Speaker 1>learn or change from your feedback. I am perfect and superior.

0:22:53.480 --> 0:22:56.440
<v Speaker 1>How worrying is that? Let's dig into all of it.

0:22:56.560 --> 0:22:59.879
<v Speaker 1>Emily Bender is with US professor Linguistics at the University

0:23:00.000 --> 0:23:03.720
<v Speaker 1>of Washington fotcusing in many ways on artificial intelligence on

0:23:03.920 --> 0:23:07.000
<v Speaker 1>big data. You of course have a real focus point,

0:23:07.040 --> 0:23:12.399
<v Speaker 1>in particular on computational linguistics. And therefore, professor, what do

0:23:12.480 --> 0:23:15.360
<v Speaker 1>you make of this? Some call it hype, some call

0:23:15.440 --> 0:23:18.360
<v Speaker 1>it panic and worry, some call it just investigative journalism?

0:23:18.440 --> 0:23:19.960
<v Speaker 1>What do you make as some of the encounters that

0:23:20.119 --> 0:23:22.720
<v Speaker 1>people seem to be having with being so? I think

0:23:22.760 --> 0:23:24.520
<v Speaker 1>there's two things to keep in mind. When you have

0:23:24.640 --> 0:23:27.360
<v Speaker 1>a disturbing encounter as one of these chatbuts, you can

0:23:27.680 --> 0:23:31.280
<v Speaker 1>worry that the chatbut itself is malevolent or sinister, or

0:23:31.400 --> 0:23:33.760
<v Speaker 1>you can take a step back and see that the

0:23:33.880 --> 0:23:36.080
<v Speaker 1>real issue is that people might be taking it as

0:23:36.160 --> 0:23:39.560
<v Speaker 1>something that has communicat of intent and can be trying

0:23:39.600 --> 0:23:42.159
<v Speaker 1>to convey meaning, when in fact, when the output of

0:23:42.200 --> 0:23:44.639
<v Speaker 1>a chatbot seems to make sense, it's because we're the

0:23:44.720 --> 0:23:46.520
<v Speaker 1>ones making sense of it. It has no meaning, it

0:23:46.600 --> 0:23:49.680
<v Speaker 1>has no mind. It's just spitting back language based on

0:23:49.760 --> 0:23:52.480
<v Speaker 1>the patterns in its training data. So it's a reflection

0:23:52.880 --> 0:23:57.320
<v Speaker 1>of us in some ways. What then, could Microsoft be

0:23:57.400 --> 0:24:00.919
<v Speaker 1>doing to better educate us on that? So I think

0:24:00.960 --> 0:24:03.000
<v Speaker 1>there's some design choices that could be made. The fact

0:24:03.040 --> 0:24:06.000
<v Speaker 1>that they have this machine speaking with a first person

0:24:06.359 --> 0:24:09.000
<v Speaker 1>is problematic because that really encourages people to see it

0:24:09.160 --> 0:24:12.920
<v Speaker 1>as an entity, as a mind when it's not. And

0:24:13.040 --> 0:24:15.000
<v Speaker 1>the second thing I think is to really think about

0:24:15.440 --> 0:24:20.320
<v Speaker 1>when is it appropriate to allow synthetic text out into

0:24:20.359 --> 0:24:24.240
<v Speaker 1>the world. Do you want as a company to take

0:24:24.320 --> 0:24:29.920
<v Speaker 1>responsibility for the confabulations of these chatbots? In many ways,

0:24:30.119 --> 0:24:33.159
<v Speaker 1>they've tried to highlight their limitations. The fact also this

0:24:33.359 --> 0:24:37.480
<v Speaker 1>is kind of embeter it's being worked through the original

0:24:37.680 --> 0:24:39.639
<v Speaker 1>few people have been selected to work with it in

0:24:39.720 --> 0:24:44.480
<v Speaker 1>a preview format. Do you think ultimately it's embedding in

0:24:44.640 --> 0:24:47.920
<v Speaker 1>search is a good thing. I really don't. I think

0:24:48.000 --> 0:24:50.760
<v Speaker 1>that chatbots are not what we need for search. There

0:24:50.840 --> 0:24:52.879
<v Speaker 1>might be what we think we want. We've been trained

0:24:53.000 --> 0:24:55.119
<v Speaker 1>by decades of science fiction to imagine that there's a

0:24:55.160 --> 0:24:57.080
<v Speaker 1>future where there's an all knowing computer that we can

0:24:57.160 --> 0:25:00.240
<v Speaker 1>just ask questions out and get the answers. But fact,

0:25:00.280 --> 0:25:02.480
<v Speaker 1>what I learned from my colleagues and the information school

0:25:02.840 --> 0:25:04.280
<v Speaker 1>is that what we really need, or we have an

0:25:04.280 --> 0:25:07.200
<v Speaker 1>information need, is a system that will help us find

0:25:07.280 --> 0:25:10.480
<v Speaker 1>information sources, but give us those sources directly so that

0:25:10.600 --> 0:25:13.760
<v Speaker 1>we can evaluate them and also progressively increase our own

0:25:13.800 --> 0:25:17.200
<v Speaker 1>information literacy. There is a startup. Actually, we've interviewed Niva

0:25:17.320 --> 0:25:20.240
<v Speaker 1>who always sort of tells you where the information is

0:25:20.240 --> 0:25:23.639
<v Speaker 1>originally from. Can that be an easy fix? Do you

0:25:23.720 --> 0:25:26.280
<v Speaker 1>think ultimately a way in which that brings transparency and

0:25:26.400 --> 0:25:29.840
<v Speaker 1>where the information is arising. It depends a lot on

0:25:29.880 --> 0:25:32.040
<v Speaker 1>the design of the system. So if the system is

0:25:32.080 --> 0:25:34.399
<v Speaker 1>we're going to go get some documents and then produce

0:25:34.440 --> 0:25:37.160
<v Speaker 1>a summary with pointers to those documents, that's better, although

0:25:37.200 --> 0:25:39.560
<v Speaker 1>those summaries can still have very strange artifacts in them

0:25:39.840 --> 0:25:41.600
<v Speaker 1>and people aren't always going to go double check in

0:25:41.640 --> 0:25:44.119
<v Speaker 1>the source documents. If on the other hand, it's we're

0:25:44.160 --> 0:25:46.720
<v Speaker 1>going to prevent this, present this answer and then oh,

0:25:46.800 --> 0:25:49.520
<v Speaker 1>by the way, generates some citations, those ones can be

0:25:49.640 --> 0:25:51.240
<v Speaker 1>fake and made up and not where the information is

0:25:51.280 --> 0:25:53.480
<v Speaker 1>really coming from, and so that absolutely doesn't solve the problem.

0:25:54.000 --> 0:25:56.240
<v Speaker 1>You're putting out a lot of research, you're also putting

0:25:56.280 --> 0:26:02.000
<v Speaker 1>out a fair few takedowns on various form social media ones. Professor,

0:26:02.119 --> 0:26:04.080
<v Speaker 1>is anyone coming to you for advice from these companies?

0:26:05.480 --> 0:26:09.480
<v Speaker 1>You know? Surprisingly few. I do sometimes get people asking

0:26:09.560 --> 0:26:12.560
<v Speaker 1>me if I can help them design their system. Usually

0:26:12.600 --> 0:26:14.520
<v Speaker 1>that request comes as if I would do it for

0:26:14.600 --> 0:26:17.119
<v Speaker 1>free instead of as a consultant. So my answer is no.

0:26:17.680 --> 0:26:20.239
<v Speaker 1>But I really do hope that by putting information out there,

0:26:20.280 --> 0:26:23.200
<v Speaker 1>both in published research and in my social media activity,

0:26:23.520 --> 0:26:26.040
<v Speaker 1>I'm helping people ask these questions for themselves and take

0:26:26.080 --> 0:26:29.760
<v Speaker 1>a critical view so called AI technology. What about a

0:26:29.880 --> 0:26:34.119
<v Speaker 1>critical view coming from the government? Is that where we

0:26:34.160 --> 0:26:36.879
<v Speaker 1>should be having some of them monitoring. I think we

0:26:37.000 --> 0:26:40.320
<v Speaker 1>really do need to develop some good regulations as a society.

0:26:40.880 --> 0:26:43.240
<v Speaker 1>What guardrails do we want on this technology? What do

0:26:43.359 --> 0:26:46.800
<v Speaker 1>we want to allow in terms of massive collections of data,

0:26:47.200 --> 0:26:51.600
<v Speaker 1>in terms of systems that can just output texts that

0:26:51.680 --> 0:26:54.160
<v Speaker 1>we might encounter and not know that it was synthetic.

0:26:54.359 --> 0:26:57.200
<v Speaker 1>There's a real risk to pollution of our information ecosystem,

0:26:57.440 --> 0:26:59.760
<v Speaker 1>and I think that that's a societal concern that demands

0:27:00.040 --> 0:27:03.280
<v Speaker 1>viable action coming from the UK, I've seen sort of

0:27:03.840 --> 0:27:08.240
<v Speaker 1>discussions being brought from private and public partnership basis. They've

0:27:08.359 --> 0:27:12.119
<v Speaker 1>tried to have government involved from an early day. Do

0:27:12.280 --> 0:27:17.560
<v Speaker 1>you think ultimately some of the viewpoints from innovation can

0:27:17.600 --> 0:27:20.400
<v Speaker 1>be heard at the same time as having the guardrails

0:27:20.440 --> 0:27:24.440
<v Speaker 1>and a necessary particularly from an ethics perspective. I think

0:27:24.520 --> 0:27:27.160
<v Speaker 1>we do want to have a broad conversation as we're

0:27:27.200 --> 0:27:29.760
<v Speaker 1>designing regulations, and we don't want to put ourselves in

0:27:29.800 --> 0:27:32.840
<v Speaker 1>a situation where you can't build anything new. On the

0:27:32.920 --> 0:27:34.920
<v Speaker 1>other hand, I think that we also need to be

0:27:34.960 --> 0:27:37.320
<v Speaker 1>able to say before something is put out into the world,

0:27:37.680 --> 0:27:42.800
<v Speaker 1>even as BEATA, what requirements do we have about transparency

0:27:42.800 --> 0:27:45.280
<v Speaker 1>about how it's been evaluated so far, transparency about where

0:27:45.280 --> 0:27:47.840
<v Speaker 1>its data comes from, and so on. And I think

0:27:47.920 --> 0:27:50.520
<v Speaker 1>that there is a happy medium to be found there,

0:27:51.080 --> 0:27:53.320
<v Speaker 1>and it is one that is probably best served by

0:27:53.400 --> 0:27:55.879
<v Speaker 1>having a broadly educated public so that we can all

0:27:55.920 --> 0:27:59.119
<v Speaker 1>contribute to this discussion. Thanks for educating us now how

0:27:59.160 --> 0:28:02.480
<v Speaker 1>many vendor Whistick profressor at the University of Washington. We

0:28:02.720 --> 0:28:06.119
<v Speaker 1>thank you. And of course there's some more news that

0:28:06.200 --> 0:28:09.679
<v Speaker 1>we've been seeing out there from JP Morgan, Chase restricted

0:28:10.080 --> 0:28:13.320
<v Speaker 1>its staff's use of chat chypt. According to a person

0:28:13.400 --> 0:28:16.600
<v Speaker 1>familiar with the matter, now, the move impacts employees across

0:28:16.640 --> 0:28:20.680
<v Speaker 1>the firm and reflects normal controls around third party software,

0:28:20.880 --> 0:28:25.160
<v Speaker 1>rather than being triggered by any specific incident. And interestingly,

0:28:25.320 --> 0:28:27.720
<v Speaker 1>we took it to you, our own audience. We asked

0:28:27.760 --> 0:28:31.560
<v Speaker 1>you whether you believe this will become more standard across industries.

0:28:31.760 --> 0:28:37.639
<v Speaker 1>You said no, companies should embrace the new technology. So no,

0:28:38.520 --> 0:28:42.880
<v Speaker 1>fifty three percent think ultimately companies should be using CHATCHYBT.

0:28:42.960 --> 0:28:45.600
<v Speaker 1>I'm afraid JP Morgan. Meanwhile, coming up, we continue our

0:28:45.640 --> 0:28:49.200
<v Speaker 1>conversation on AI and speak with Isabel Friedheim, confounder of

0:28:49.440 --> 0:28:53.800
<v Speaker 1>Magnify and artificial intelligence and machine learning company. And as

0:28:53.880 --> 0:28:56.880
<v Speaker 1>we look towards the break, let's take a look Abetsy,

0:28:57.120 --> 0:29:01.480
<v Speaker 1>another company that's just reported after hours fourth quarter revenue

0:29:01.600 --> 0:29:04.760
<v Speaker 1>showing growth up more than five percent after hours the

0:29:04.880 --> 0:29:31.680
<v Speaker 1>Siblingberg Welcome back to blin Beg Technology. I'm Caroline Hide

0:29:31.720 --> 0:29:34.120
<v Speaker 1>in New York. Let's have a little look what's happening

0:29:34.160 --> 0:29:36.080
<v Speaker 1>with the world of Nvidia right now, Because of course,

0:29:36.360 --> 0:29:39.920
<v Speaker 1>numbers did well show some relief. In particular, this is

0:29:39.960 --> 0:29:42.680
<v Speaker 1>a company that's talking up its game in artificial intelligence.

0:29:42.920 --> 0:29:47.120
<v Speaker 1>They're seeing overall that the results using concerns over inventory levels,

0:29:47.160 --> 0:29:51.080
<v Speaker 1>but also the data center still perhaps showing ultimate weakness

0:29:51.200 --> 0:29:53.240
<v Speaker 1>from here over year, but showing that this is a

0:29:53.280 --> 0:29:56.880
<v Speaker 1>company that continues to thrive from an enterprise sales perspective.

0:29:56.920 --> 0:29:58.960
<v Speaker 1>We were hearing that from our very own mandat sing

0:29:59.080 --> 0:30:01.360
<v Speaker 1>So this is a company that really does continue to

0:30:01.880 --> 0:30:05.400
<v Speaker 1>fire on cylinders when it comes to the ultimate enterprise

0:30:05.480 --> 0:30:09.040
<v Speaker 1>part of the business. Artificial intelligence at a turning point

0:30:09.120 --> 0:30:12.280
<v Speaker 1>according to the CEO, and definitely wanting to be leaning

0:30:12.320 --> 0:30:14.480
<v Speaker 1>into that part of the equation. We're up eight percent

0:30:14.560 --> 0:30:17.840
<v Speaker 1>after hours has stop this already up forty percent since January.

0:30:18.600 --> 0:30:21.320
<v Speaker 1>Now let's continue our conversation. Actually, we've got a bit

0:30:21.360 --> 0:30:24.040
<v Speaker 1>of an AI expert with us. She co founded an

0:30:24.120 --> 0:30:28.960
<v Speaker 1>artificial intelligence machine learning fintech company called Magnify, Isabelle Friedheim.

0:30:29.200 --> 0:30:32.160
<v Speaker 1>But also what's really interesting as well, she's well the

0:30:32.160 --> 0:30:34.959
<v Speaker 1>founder of one of the only all women led spack

0:30:35.120 --> 0:30:38.560
<v Speaker 1>that special purpose acquisition company Networks. Please to say she

0:30:38.720 --> 0:30:40.200
<v Speaker 1>joins us now and it's well, I'm not going to

0:30:40.240 --> 0:30:43.840
<v Speaker 1>spend long on it, but considering artificial intelligence it's just

0:30:44.000 --> 0:30:47.479
<v Speaker 1>everything the market is discussing to hype the reality. How

0:30:47.600 --> 0:30:51.680
<v Speaker 1>much have actually you've been building an AI already? Yeah,

0:30:51.720 --> 0:30:54.560
<v Speaker 1>I think so many companies are using AI now. And

0:30:54.760 --> 0:30:58.400
<v Speaker 1>there's one thing that's really irrefutable. It is a corporate

0:30:58.440 --> 0:31:03.240
<v Speaker 1>America really sets upon antiquated technology. And by that I

0:31:03.320 --> 0:31:06.920
<v Speaker 1>mean that if you look at across almost any industry,

0:31:07.480 --> 0:31:11.400
<v Speaker 1>legacy companies that are the market leaders are incredibly ascid

0:31:11.480 --> 0:31:16.040
<v Speaker 1>heavy and have yet to adopt technological innovation. So you

0:31:16.120 --> 0:31:19.440
<v Speaker 1>see that by looking at successful new market entrance like

0:31:19.600 --> 0:31:23.400
<v Speaker 1>magnifying others and how I said lights they are and

0:31:23.920 --> 0:31:27.760
<v Speaker 1>you see that new companies leverage and capitalize their efficiencies

0:31:28.280 --> 0:31:31.440
<v Speaker 1>on technologies that are available, and they do that in

0:31:31.480 --> 0:31:33.240
<v Speaker 1>their business models, they do that in their go to

0:31:33.360 --> 0:31:36.880
<v Speaker 1>market strategy. And there's tremendous value to be created by

0:31:37.320 --> 0:31:42.520
<v Speaker 1>investing wisely on that convergence. You've been investing. I'm sure wisely,

0:31:42.680 --> 0:31:45.400
<v Speaker 1>but certainly you think wisely when you're a VC. Of course,

0:31:45.480 --> 0:31:49.480
<v Speaker 1>castle VC. I'm interested in why special purpose acquisition companies

0:31:49.640 --> 0:31:51.640
<v Speaker 1>are a way to invest in this moment, considering the

0:31:51.680 --> 0:31:56.600
<v Speaker 1>amount of well hits they've taken From a PR perspector,

0:31:56.680 --> 0:32:00.160
<v Speaker 1>shall I call it. Yeah, I mean, look, we as

0:32:00.160 --> 0:32:02.320
<v Speaker 1>a spack, we look for for great companies that have

0:32:02.560 --> 0:32:06.080
<v Speaker 1>what I described earlier scalable and innovative technologies. They have

0:32:06.080 --> 0:32:10.000
<v Speaker 1>attractive business models and attractive go to market strategies that

0:32:10.080 --> 0:32:13.959
<v Speaker 1>they're going to prove to be really wonderful investments by

0:32:14.080 --> 0:32:18.040
<v Speaker 1>virtue of the differentiated value that they're going to provide,

0:32:18.160 --> 0:32:22.400
<v Speaker 1>and by the way, a lot of those companies contributes

0:32:22.480 --> 0:32:24.520
<v Speaker 1>to the standard of living. And this is what we

0:32:24.640 --> 0:32:30.520
<v Speaker 1>invest in in our spacks. Okay, so Anthena, you're supported

0:32:30.600 --> 0:32:34.160
<v Speaker 1>by an advisory board women lad founders operated as bench

0:32:34.200 --> 0:32:37.080
<v Speaker 1>capitalist investment bankers. Who is in your network and why

0:32:37.120 --> 0:32:40.280
<v Speaker 1>do they want to help? Yeah, we are all women.

0:32:40.320 --> 0:32:43.080
<v Speaker 1>But frankly, my approach has been that the fact that

0:32:43.160 --> 0:32:45.720
<v Speaker 1>we are all women is neither here nor there. But

0:32:45.880 --> 0:32:47.680
<v Speaker 1>what we have done is we have put together what

0:32:47.800 --> 0:32:51.160
<v Speaker 1>we believe is the most formidable spack platform with thirty

0:32:51.240 --> 0:32:54.680
<v Speaker 1>or so executives across vehicles that have been on boards

0:32:54.720 --> 0:33:00.680
<v Speaker 1>of companies such as Citygroup, Oracle, Comcast, and Johnson and

0:33:00.800 --> 0:33:04.920
<v Speaker 1>Johnson American Airlines. We work black Rock and many more

0:33:04.960 --> 0:33:08.280
<v Speaker 1>public and private companies. We've had founders of companies we

0:33:08.400 --> 0:33:10.800
<v Speaker 1>had the co founder of Guilds, the co founder of Shift,

0:33:10.880 --> 0:33:13.600
<v Speaker 1>the company that also went public through SPAC, A dozen

0:33:13.680 --> 0:33:16.760
<v Speaker 1>of founders of companies whose names you would recognize. And

0:33:16.840 --> 0:33:20.280
<v Speaker 1>we've had multiple vehicles. For example, we had a vertical

0:33:20.480 --> 0:33:23.800
<v Speaker 1>consumer vehicle where we had the former US CEO of

0:33:23.920 --> 0:33:26.840
<v Speaker 1>the Beers, former president of gi Venshi, former CEO of

0:33:26.920 --> 0:33:30.120
<v Speaker 1>Stein Martz, former president of Old Navy, former CEO of

0:33:30.240 --> 0:33:33.120
<v Speaker 1>Pepod grocery delivery company. They had a billion revenues, We

0:33:33.200 --> 0:33:37.680
<v Speaker 1>had regulators. So these are all accomplished leaders that help

0:33:38.240 --> 0:33:41.920
<v Speaker 1>our combination partners and who are on our boards and

0:33:45.000 --> 0:33:49.800
<v Speaker 1>really create long term value and provide a full platform

0:33:50.240 --> 0:33:53.080
<v Speaker 1>that the combination partners can leverage on. How hard has

0:33:53.160 --> 0:33:58.680
<v Speaker 1>that been to persuade public market investors in SPACs, I mean,

0:33:58.760 --> 0:34:01.040
<v Speaker 1>looked the spack market has been. First, you have to

0:34:01.160 --> 0:34:04.000
<v Speaker 1>understand the specific market environment that created where we are,

0:34:04.480 --> 0:34:09.040
<v Speaker 1>the environment where we are now, the proliferation of spects,

0:34:09.080 --> 0:34:12.200
<v Speaker 1>and particularly three years ago, interest rates were low and

0:34:12.280 --> 0:34:14.360
<v Speaker 1>investors were seeking yields, and we saw a number of

0:34:14.400 --> 0:34:18.120
<v Speaker 1>spects that came to market. Yet many have liquidated in

0:34:18.160 --> 0:34:20.240
<v Speaker 1>the last twelve months. One hundred and fifty eight spacts

0:34:20.280 --> 0:34:24.480
<v Speaker 1>have liquidated, that's a lot. Now today we're facing again

0:34:24.600 --> 0:34:28.520
<v Speaker 1>fear of inflation, rising interest rates, FED that had its

0:34:28.600 --> 0:34:32.360
<v Speaker 1>credibility somewhat tarnished, and equity markets that really took a

0:34:32.520 --> 0:34:37.040
<v Speaker 1>hit and particularly corrected were the risks on investments that

0:34:37.200 --> 0:34:40.479
<v Speaker 1>investors are willing to take. So half of the SPAC

0:34:40.560 --> 0:34:43.200
<v Speaker 1>deals that closed in twenty twenty twenty one had very

0:34:43.280 --> 0:34:46.440
<v Speaker 1>little revenues or if no revenues for some, and they

0:34:46.440 --> 0:34:49.200
<v Speaker 1>got crushed. And that's not unique to spects. If you

0:34:49.239 --> 0:34:52.279
<v Speaker 1>look at IPOs same you know, IPOs and Spects that

0:34:52.320 --> 0:34:54.719
<v Speaker 1>went public in twenty twenty and twenty twenty one are

0:34:54.760 --> 0:34:57.800
<v Speaker 1>all down forty five percent. So that doesn't mean that

0:34:57.840 --> 0:35:01.000
<v Speaker 1>we're bad companies, but the investment community he moved from

0:35:01.600 --> 0:35:04.440
<v Speaker 1>risk on to risk off. So do you have to

0:35:04.520 --> 0:35:07.520
<v Speaker 1>wait for the pendulum to swing back or how can

0:35:07.560 --> 0:35:10.719
<v Speaker 1>you now look for new targets, new companies that you think,

0:35:10.880 --> 0:35:16.719
<v Speaker 1>even in a more difficult macroeconomic environment, can thrive. Yeah,

0:35:16.760 --> 0:35:19.279
<v Speaker 1>I mean, I think I think this is this is

0:35:19.320 --> 0:35:22.080
<v Speaker 1>what we're going to continue to see in twenty twenty three,

0:35:22.120 --> 0:35:25.279
<v Speaker 1>and we're going to continue to see a lot of liquidations.

0:35:25.520 --> 0:35:27.400
<v Speaker 1>And because we still have this volume of SPACs, I

0:35:27.440 --> 0:35:29.960
<v Speaker 1>think we're going to seem to continue to see a

0:35:30.040 --> 0:35:33.040
<v Speaker 1>pickup in the pace of announce steals, and we're starting

0:35:33.080 --> 0:35:35.800
<v Speaker 1>to see that right now in our own SPACs and

0:35:36.160 --> 0:35:39.040
<v Speaker 1>for others because there's a backlog of companies that wants

0:35:39.080 --> 0:35:42.040
<v Speaker 1>to access capital, and relative to private equity and venture capital,

0:35:42.440 --> 0:35:45.480
<v Speaker 1>SPACs are providing really an opening of a window into

0:35:45.680 --> 0:35:48.000
<v Speaker 1>what is the largest poll of investors in the world.

0:35:48.120 --> 0:35:50.720
<v Speaker 1>So if you look at twenty twenty two, for example,

0:35:50.760 --> 0:35:53.160
<v Speaker 1>there were under twenty IPOs, but two hundred SPACK deals,

0:35:53.160 --> 0:35:54.880
<v Speaker 1>about one hundred that closed and about one hundred that

0:35:54.920 --> 0:35:57.760
<v Speaker 1>we're announced, So it remains a way to go public.

0:35:57.880 --> 0:36:02.640
<v Speaker 1>So I anticipate that this will continue fascinating around the

0:36:02.680 --> 0:36:06.160
<v Speaker 1>world of special purpose acquisition companies as well. Freedheim, thank

0:36:06.239 --> 0:36:08.720
<v Speaker 1>you for coming on discussing all the work of Athena

0:36:08.960 --> 0:36:20.680
<v Speaker 1>and of course your background. Some news about predicting no

0:36:20.800 --> 0:36:23.880
<v Speaker 1>more layoffs over at the parent of Facebook, but Meta

0:36:24.080 --> 0:36:28.000
<v Speaker 1>is apparently planning another round of job cuts and we're

0:36:28.000 --> 0:36:31.279
<v Speaker 1>shuffling thousands of employees. That's all according to reporting from

0:36:31.280 --> 0:36:34.120
<v Speaker 1>the Washington Post. We might add Meta plans to push

0:36:34.239 --> 0:36:37.920
<v Speaker 1>some leaders into lower level roles without direct reports, flattening

0:36:37.960 --> 0:36:41.120
<v Speaker 1>the layers of management between Meta CEO Mark Zuckerberg and

0:36:41.239 --> 0:36:45.080
<v Speaker 1>their companies. In terms, that's a Washington Post report. Meanwhile,

0:36:45.120 --> 0:36:48.200
<v Speaker 1>staying with social media and turning to the stream courts

0:36:48.239 --> 0:36:50.799
<v Speaker 1>hearings over Section two thirty, please to say we can

0:36:50.840 --> 0:36:52.359
<v Speaker 1>dig in a little bit more to what's being heard

0:36:52.480 --> 0:36:54.960
<v Speaker 1>in terms of Twitter today. Yesterday, of course, it was

0:36:55.000 --> 0:36:57.600
<v Speaker 1>Google versus Gonzalez. We're joined now by a former tech

0:36:57.640 --> 0:37:00.320
<v Speaker 1>executive who currently teaches privacy, data and CyberSecure over the

0:37:00.400 --> 0:37:04.160
<v Speaker 1>UCLA School of Law. Welcome, Professor Alex Alban. Thank you

0:37:04.320 --> 0:37:07.160
<v Speaker 1>very much indeed for joining us, Alex, and just remind

0:37:07.280 --> 0:37:09.960
<v Speaker 1>us it's been day two that we've been hearing questions

0:37:10.040 --> 0:37:14.080
<v Speaker 1>around really to Section two thirty, the protection it gives

0:37:14.120 --> 0:37:18.000
<v Speaker 1>technology companies and in many ways against anti terrorism laws.

0:37:18.040 --> 0:37:21.120
<v Speaker 1>In particular, the argument today was what that Twitter should

0:37:21.120 --> 0:37:24.200
<v Speaker 1>have been taking down certain content to prevent what happened

0:37:24.400 --> 0:37:28.560
<v Speaker 1>in Istanbul. That's correct. The argument in the court today

0:37:29.160 --> 0:37:33.200
<v Speaker 1>was that Twitter was not vigorous enough in taking down content.

0:37:33.680 --> 0:37:36.480
<v Speaker 1>And I kind of find that somewhat amusing because a

0:37:36.520 --> 0:37:39.520
<v Speaker 1>lot of the criticism of Twitter and the other social

0:37:39.600 --> 0:37:42.319
<v Speaker 1>media companies over the past year or so has been

0:37:42.400 --> 0:37:48.040
<v Speaker 1>the base censor content that is available on those media platforms.

0:37:48.120 --> 0:37:51.400
<v Speaker 1>So the fact that they are now being criticized for

0:37:51.520 --> 0:37:55.040
<v Speaker 1>not being vigorous enough to me really points out how

0:37:55.120 --> 0:37:59.720
<v Speaker 1>difficult this whole area of content moderation is on social media,

0:38:00.320 --> 0:38:06.120
<v Speaker 1>and to that end, it's become politicized. Two broad brushstrokes

0:38:06.160 --> 0:38:09.160
<v Speaker 1>here on the right. On the Republican side, there's an

0:38:09.239 --> 0:38:11.960
<v Speaker 1>argument that they don't want conservative viewpoints taken down. On

0:38:12.040 --> 0:38:15.120
<v Speaker 1>the Democrat side, it's more about that they shouldn't be

0:38:15.200 --> 0:38:18.000
<v Speaker 1>putting leaving certain content up and should be putting it

0:38:18.080 --> 0:38:21.520
<v Speaker 1>down quickly, harassment, hate speech, And they're like, how much

0:38:21.560 --> 0:38:24.520
<v Speaker 1>has the Supreme Court been weighing in and should they be?

0:38:25.840 --> 0:38:28.480
<v Speaker 1>They've been asking pretty good questions, And I would say,

0:38:28.520 --> 0:38:31.080
<v Speaker 1>if you had to read Tea Leaves right now, I

0:38:31.160 --> 0:38:33.759
<v Speaker 1>think the Court as a whole is skeptical that you

0:38:33.840 --> 0:38:38.800
<v Speaker 1>can just rip out this layer of Internet recommendations and

0:38:38.960 --> 0:38:42.080
<v Speaker 1>the world would function normally. When you think about it,

0:38:42.400 --> 0:38:45.239
<v Speaker 1>if you took out the recommendations that are really based

0:38:45.320 --> 0:38:49.280
<v Speaker 1>on the user's own preferences and the users own viewing habits,

0:38:49.719 --> 0:38:52.440
<v Speaker 1>then what will we be left with? Just every time

0:38:52.480 --> 0:38:54.600
<v Speaker 1>a user comes to a page they have to do

0:38:54.680 --> 0:38:56.600
<v Speaker 1>in new search, and they don't know what kind of

0:38:57.040 --> 0:39:00.959
<v Speaker 1>content will come up. Talk to us about Silicon Valley

0:39:01.080 --> 0:39:05.400
<v Speaker 1>or social media company's largest response to this, many have argued,

0:39:05.840 --> 0:39:08.520
<v Speaker 1>we need this protection obviously because there'd be a flood

0:39:08.600 --> 0:39:12.000
<v Speaker 1>of legal issues that they'd face, but not just big companies,

0:39:12.080 --> 0:39:15.360
<v Speaker 1>more ones too. You know. Section two thirty came about

0:39:15.440 --> 0:39:18.520
<v Speaker 1>in nineteen ninety five ninety six, and it was in

0:39:18.680 --> 0:39:22.200
<v Speaker 1>response to a case where a Prodigy you remember that

0:39:22.360 --> 0:39:26.080
<v Speaker 1>far back was an online network and they were held

0:39:26.200 --> 0:39:30.080
<v Speaker 1>liable for a defamatory post that was made on the

0:39:30.160 --> 0:39:33.319
<v Speaker 1>Prodigy service. And it occurred to Congress at the time,

0:39:33.360 --> 0:39:36.680
<v Speaker 1>and I think this was a correct decision that an

0:39:36.800 --> 0:39:41.120
<v Speaker 1>Internet ISSP or a big web platform is really more

0:39:41.200 --> 0:39:45.600
<v Speaker 1>like a newsstand or a bookstore. They're not publishing the content,

0:39:45.719 --> 0:39:49.800
<v Speaker 1>they're making it available. Now, the really interesting aspect of

0:39:49.880 --> 0:39:54.600
<v Speaker 1>this case is that YouTube has a recommendation algorithm, as

0:39:54.680 --> 0:39:58.680
<v Speaker 1>many other services do, and so when you search for something,

0:39:58.760 --> 0:40:01.840
<v Speaker 1>it's going to recommend videos and the string of videos.

0:40:02.280 --> 0:40:06.080
<v Speaker 1>But those recommendations are not actually technically made by an

0:40:06.239 --> 0:40:10.040
<v Speaker 1>editor at YouTube. They are based on what the user

0:40:10.440 --> 0:40:13.560
<v Speaker 1>has looked at before, and then they're based on what

0:40:13.680 --> 0:40:17.160
<v Speaker 1>the most popular videos have been on that subject. So

0:40:17.520 --> 0:40:20.879
<v Speaker 1>I think it's really not an editorial function per se.

0:40:21.680 --> 0:40:25.440
<v Speaker 1>But can't anything be done? We look to Europe, we

0:40:25.560 --> 0:40:26.920
<v Speaker 1>see some of the rules that are going to come

0:40:26.960 --> 0:40:29.839
<v Speaker 1>into place in twenty twenty four. Ultimately, is there something

0:40:29.960 --> 0:40:32.520
<v Speaker 1>that the Supreme Court or d Congress could do to

0:40:32.680 --> 0:40:36.800
<v Speaker 1>make searching less involved in hate speech? Well, what I

0:40:36.880 --> 0:40:39.359
<v Speaker 1>think we could do is have more transparencies to how

0:40:39.440 --> 0:40:42.520
<v Speaker 1>the algorithm actually works. That would be good, and then

0:40:42.560 --> 0:40:45.960
<v Speaker 1>we could actually give users more control. Let's say you

0:40:46.040 --> 0:40:48.920
<v Speaker 1>could have settings that said I want to hear more

0:40:49.000 --> 0:40:50.960
<v Speaker 1>of the things that I like, or I want to

0:40:51.000 --> 0:40:53.160
<v Speaker 1>hear more of the things that I don't like, or

0:40:53.360 --> 0:40:57.799
<v Speaker 1>just give me a random news feed. Facebook actually does

0:40:57.880 --> 0:41:00.400
<v Speaker 1>a version of this in the news feed, where you

0:41:00.440 --> 0:41:04.680
<v Speaker 1>can highlight certain friends and de emphasize other friends. And

0:41:04.800 --> 0:41:07.799
<v Speaker 1>I think the giving users control over the content that's

0:41:07.800 --> 0:41:11.000
<v Speaker 1>recommended is the way to go. Great to speak with you,

0:41:11.239 --> 0:41:14.960
<v Speaker 1>Professor Alex Elvin, of course of UCLA law that does

0:41:15.040 --> 0:41:18.480
<v Speaker 1>it for this tradition. Thank you of Bloomberg Technology. Do

0:41:18.640 --> 0:41:21.600
<v Speaker 1>not forget to check us out a podcast. You can

0:41:21.640 --> 0:41:23.960
<v Speaker 1>go cross platform. Of course, we're on various of the

0:41:24.000 --> 0:41:26.480
<v Speaker 1>social media platforms, but check us out on our podcast.

0:41:26.520 --> 0:41:29.800
<v Speaker 1>We've got on Apple, on Spotify, on iHeart. There'll be

0:41:29.880 --> 0:41:32.080
<v Speaker 1>plenty more. In terms of the digestion of the stock mark.

0:41:32.239 --> 0:41:35.719
<v Speaker 1>It moves after hours too, from New York to Subloomberg