WEBVTT - Tesla, Google Earnings and Exclusive Interview with Meta CEO

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news.

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<v Speaker 2>From the heart of where innovation, money and power co

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<v Speaker 2>line in Silicon Valley n Beyond.

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<v Speaker 3>This is Bloomberg Technology with Caroline Hyde and Ed.

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<v Speaker 4>Ludlow, live from London and San Francisco. This is Bloomberg Technology,

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<v Speaker 4>coming up the first of the Magnificent seven.

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<v Speaker 3>Gear up to report results.

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<v Speaker 5>We've got you covered, plus whiz walks away from Google's

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<v Speaker 5>twenty three billion dollar offer.

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<v Speaker 4>Details ahead, and we bring you our exclusive interview with

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<v Speaker 4>Meta CEO Mark Zuckerberg.

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<v Speaker 5>Spotify up twelve percent in the session, subscribers paid, subscribers

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<v Speaker 5>up twelve percent year on year. There's a lot of

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<v Speaker 5>focus from the street on all of the cost saving

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<v Speaker 5>measures that they took and the bottom line, but let's

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<v Speaker 5>stick with the Spotify story. The company releasing those two

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<v Speaker 5>Q earnings this morning, bringing Bloombergs, Lucas Shaw, Lucas Leeds

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<v Speaker 5>screen Time, which is our coverage of the entertainment industry

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<v Speaker 5>and all things streaming, and Lucas we are so back

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<v Speaker 5>streaming is back taught me through Spotify.

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<v Speaker 6>Yeah, both Netflix and Spotify having very good earnings. Look,

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<v Speaker 6>Spotify is finally starting to look like a profitable business.

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<v Speaker 6>I think that's what investors are excited about. They had

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<v Speaker 6>both profit and margin. That was a head of expectations,

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<v Speaker 6>I believe, and perhaps most notably for them, they raised

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<v Speaker 6>prices and still beat on their premium subscriber edition. So

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<v Speaker 6>it feels like their ability to raise prices now and

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<v Speaker 6>going forward will be very strong, which is good news.

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<v Speaker 7>For everyone looking at it.

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<v Speaker 6>You know, they've done what Wall Street wanted, which is

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<v Speaker 6>cut costs and start living profits, and.

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<v Speaker 4>They have really focused in on the profitability over and above,

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<v Speaker 4>perhaps more broadly just subscriber growth in totality lucas there

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<v Speaker 4>was a little bit of weakness on the bigger, larger

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<v Speaker 4>number of those that aren't just paying premium.

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<v Speaker 8>Yeah.

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<v Speaker 6>I mean they've I've been surprised over the last couple

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<v Speaker 6>of years at their ability to continue to grow their

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<v Speaker 6>customer base, not just premium but the free. They've had

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<v Speaker 6>a lot of success in India and Southeast Asia, which

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<v Speaker 6>is I think part of how they've done it. But

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<v Speaker 6>they've looked, they've they've rained in the spending on podcasting.

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<v Speaker 6>They are investing a fair amount in audiobooks, and I

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<v Speaker 6>think there's some skepticism still as to how exactly that

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<v Speaker 6>will sort itself out.

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<v Speaker 7>But it's a company and it's a product that people

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<v Speaker 7>really like.

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<v Speaker 6>They're not canceling. Spotify has pricing power, and I think

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<v Speaker 6>that though there have been concerns about how that business

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<v Speaker 6>would look, it's starting to feel like a company that

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<v Speaker 6>investors can rely on.

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<v Speaker 5>Lucas, This might be a little out of left field,

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<v Speaker 5>but I'm still really focused on podcasts. I just find

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<v Speaker 5>the industry to be so vibrant. If you track the newsflow,

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<v Speaker 5>a lot of like individual names doing licensing deals for

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<v Speaker 5>themselves their own properties Spotify. Do they have anything to

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<v Speaker 5>say about that?

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<v Speaker 6>Well, Look, Spotify is now content to be a neutral

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<v Speaker 6>distributor of podcasts, right. They spent a bunch of money

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<v Speaker 6>buying podcast networks, funding originals, kind of securing exclusive rights

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<v Speaker 6>to shows because they use those to those podcasts and

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<v Speaker 6>those deals to bring people in and to get people

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<v Speaker 6>listening to.

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<v Speaker 7>Podcasts on Spotify. That is now happening.

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<v Speaker 6>Spotify feels less of a need to pay for people

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<v Speaker 6>and feels like it can, you know, just benefit from

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<v Speaker 6>from ad sales from shows that it doesn't control or

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<v Speaker 6>pay for it.

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<v Speaker 4>So sweetish Juggernaut, Lucas Shaw we so appreciate you bring us.

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<v Speaker 3>All things Spotify.

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<v Speaker 4>Meanwhile, sticking with results out of Europe and it's SAP.

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<v Speaker 4>See Christian Kind join Bloomberg to weigh in on his

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<v Speaker 4>company's results.

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<v Speaker 3>Just take a listen.

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<v Speaker 9>We are not only focusing on moving customers to the cloud.

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<v Speaker 9>We look into their business model transformation. So when you

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<v Speaker 9>talk about SEP, it's all about how can you correctually

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<v Speaker 9>quote your business. I mean, take take x on Mobile,

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<v Speaker 9>one of our largest the customers now in the cloud.

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<v Speaker 9>They are moving towards the new blanagies and our software

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<v Speaker 9>is key for that. Or when you talk about the

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<v Speaker 9>resiliency of supply chains, we infuse AI. We are connecting

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<v Speaker 9>your supply chain with this operations of thousands of your

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<v Speaker 9>suppliers and that's why SEP is so well in these days.

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<v Speaker 4>Let's bring in Blimberg Sonia in for more on this

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<v Speaker 4>and Sonia shares the record high.

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<v Speaker 3>Is it all about AI? Yes?

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<v Speaker 10>AI definitely plays a key role in SAP financial performance

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<v Speaker 10>and business development. We've seen some good growth on the

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<v Speaker 10>cloud revenue and also the backlock seems very healthy, so

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<v Speaker 10>we can expect a lot more of the growth to

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<v Speaker 10>come later this year.

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<v Speaker 3>And in the.

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<v Speaker 10>Coming months as the AI had a significant role in

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<v Speaker 10>attracting new customers as well as incentivizing the shift from

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<v Speaker 10>the on premise solution to the more lucrative cloud business.

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<v Speaker 5>On your end out of Europe. Thank you very much.

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<v Speaker 5>Another tech company that's reporting today, Tesla. Let's discuss what

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<v Speaker 5>to expect with Drin Hanley Warren, Capital CEO and head

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<v Speaker 5>of research and getting myself organized, putting my posts in

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<v Speaker 5>for the blog that will run later today. And I

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<v Speaker 5>think a big focus is going to be FSD and Hang,

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<v Speaker 5>You've got a particularly interesting.

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<v Speaker 11>View on that.

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<v Speaker 8>Why you watch the FSD so closely.

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<v Speaker 1>Because the car Selle data are very transparent, and it's

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<v Speaker 1>obvious that the car sales has hit a war, whether

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<v Speaker 1>whether in California, in China, in Europe. So in California

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<v Speaker 1>the data are very transparent. Cells down twenty four percent

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<v Speaker 1>year over year in Q two and California being twenty

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<v Speaker 1>five percent of.

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<v Speaker 3>The US ED sales.

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<v Speaker 1>In China it's down seven percent. That's on top of

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<v Speaker 1>very aggressive promotions.

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<v Speaker 7>In Europe, it's a different story.

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<v Speaker 8>There's a terriff.

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<v Speaker 1>Coming up now, the Chinese may car going to Europe

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<v Speaker 1>starting dismals will face twenty percent increase in terror. So

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<v Speaker 1>at this cross current, Tesla all of a sudden pivoted

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<v Speaker 1>its story from EB sales to FSD. Essentially, FSD is

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<v Speaker 1>a story of Okay, you buy a car, I give

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<v Speaker 1>you a driver. So that's supposed to be a differentiation

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<v Speaker 1>for Tesla car to you know, get more share in

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<v Speaker 1>the market. But it is argue, after speaking extensively to

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<v Speaker 1>the researchers in the field as well as the competition's

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<v Speaker 1>AI effort, that you know, it's a very immature product.

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<v Speaker 8>It takes time to get.

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<v Speaker 1>A higher quality data, probably a rework of the underlying

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<v Speaker 1>narrow AI system and waiting for more GPU cluster for

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<v Speaker 1>this to work.

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<v Speaker 4>Full self driving has actually been something both said and

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<v Speaker 4>I'm in with a lot lucky enough to be able

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<v Speaker 4>to do so. But why do you think the underlying technology,

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<v Speaker 4>the overall scale of investment the Tesla needs to make

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<v Speaker 4>it's so much larger than the market is factoring in

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<v Speaker 4>because this is always the long term bad that Tesla

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<v Speaker 4>is an AI play.

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<v Speaker 1>Yep, because a Tesla's AI vision is a little bit

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<v Speaker 1>different from everyone else. Everyone else in the industry relies

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<v Speaker 1>on sensors in addition to the underlying AI software. But

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<v Speaker 1>Tesla wants to differential yourself as a unique play in

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<v Speaker 1>autonomus AI therefore markets as the anti end vision only

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<v Speaker 1>AI play. But if you talk to people in the

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<v Speaker 1>in the area, they'll tell you that it's a very

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<v Speaker 1>difficult route because it needs a lot more expensive data

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<v Speaker 1>input and it requires a much more expensive AI system

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<v Speaker 1>to truly get you to L five. So now you

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<v Speaker 1>how there's a very big operation domain design and you

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<v Speaker 1>have limited hardware tour, but you want to achieve L five.

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<v Speaker 1>So that's a very very tall order.

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<v Speaker 5>Speaking of hardware, we were just showing some of the

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<v Speaker 5>things at the top of mind for retail investors. Right

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<v Speaker 5>they have a platform, say dot com, they can vote

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<v Speaker 5>or up vote their questions. What's missing from that is Robotaxi.

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<v Speaker 5>How critical is it that ehlon mask gives us a

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<v Speaker 5>date a new date for the Robotaxi unveil.

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<v Speaker 1>Well, Robotaxi, it's just the one manifestation of its vision

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<v Speaker 1>only e t e Ontonama's AI. But Robotaxi in fact

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<v Speaker 1>is easier to achieve than a be SE because there's

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<v Speaker 1>no one behind the wheel. So in terms of the

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<v Speaker 1>legal liability, it's much crystal clear. So if Robotaxi gets

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<v Speaker 1>into trouble, it's Tesla that's going to fully compensate and

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<v Speaker 1>financial legally responsible for the accident as opposed to FSD.

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<v Speaker 1>As long as it's not for the autonomous and the

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<v Speaker 1>Tesla doesn't claim one hundred percent legal responsibilities, you know

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<v Speaker 1>it's it's the insurance company needs to underwrite that risk.

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<v Speaker 1>That's why you see lots of waymows on the street

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<v Speaker 1>in selective cities. But there's no Tesla Robotaxi because it

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<v Speaker 1>requires a different sort of like hardware integrate, hardware software

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<v Speaker 1>and AI program integration.

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<v Speaker 3>Tesla doesn't have that.

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<v Speaker 4>We used to perhaps being patient on Elon's promises.

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<v Speaker 3>He's pushed back Robotaxi. He pushed back Optimus just in

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<v Speaker 3>the last day or so.

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<v Speaker 4>Does that matter in the longer term if we are

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<v Speaker 4>seeing a vision of AI. Look, this is also an

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<v Speaker 4>energy company that does relatively well.

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<v Speaker 1>Well. It's sure energy does extremely well, but energy is

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<v Speaker 1>not something you give it one hundred times surprise to

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<v Speaker 1>earning racial right, So I mean the stock is at

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<v Speaker 1>two hundred and fifty. The company is supposed to make

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<v Speaker 1>two dollars and fifty cents this year, so effectively you

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<v Speaker 1>are giving it one hundred and ten price to earning

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<v Speaker 1>racial Okay, so FSD story will get this to you

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<v Speaker 1>know where the company where Elon Musco want the stock

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<v Speaker 1>to go. So the mass is this, So FSD will

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<v Speaker 1>allow the penetration to go up to thirty percent of

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<v Speaker 1>all cars. So in the US, so USL is about

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<v Speaker 1>eighteen million cars, So that gives you six million cars

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<v Speaker 1>for Tesla because it's given you a car, give you

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<v Speaker 1>a driver, so people will buy it for forty five

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<v Speaker 1>thousand dollars. And then the company makes ten percent profit

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<v Speaker 1>margin and you give thirty times a price to earning

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<v Speaker 1>to that kind of a run rate to normalize the earning,

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<v Speaker 1>just like you give to Apple that gives you two

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<v Speaker 1>trillion valuations. That's the story they want to tell to

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<v Speaker 1>the investigation and pacify them.

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<v Speaker 7>Be true.

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<v Speaker 8>It might not be true.

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<v Speaker 1>It might be somewhere else get there first, and Tesla's not.

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<v Speaker 1>But if you give it twenty percent probability, that gives

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<v Speaker 1>you significantly less market evaluation than too Trilia.

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<v Speaker 4>Well said Johan Hanley Warren, Capital CEO and head of Research.

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<v Speaker 8>As we try to.

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<v Speaker 4>Vindicate that ninety three times future earnings.

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<v Speaker 3>That is the valuation of Tesla.

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<v Speaker 4>Look at what's happening with Alphabet, because it's not just

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<v Speaker 4>Tesla out after the bell, Google's parent company is as well.

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<v Speaker 3>We're up five tens percent.

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<v Speaker 4>Not only are you focusing on search, cloud and AI,

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<v Speaker 4>we're also thinking about the wiz rejection of Google's twenty

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<v Speaker 4>three billion dollar offer.

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<v Speaker 3>We we'll be talking about that later in the show

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<v Speaker 3>as well.

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<v Speaker 2>Ed.

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<v Speaker 5>All right, coming up, we bring in Bloomberg's Emily Chang

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<v Speaker 5>for more on that exclusive interview with Meta CEO and

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<v Speaker 5>founder Mark Zuckerberg.

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<v Speaker 8>As next, this is Bloomberg Technology.

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<v Speaker 4>Different Today, Meta unveiled the largest open source AI model ever,

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<v Speaker 4>Lama three point one. The company is also updating is

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<v Speaker 4>Meta AI service because.

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<v Speaker 3>Being built as a rival to chat Gipt. In an

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<v Speaker 3>exclusive interview with Blum.

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<v Speaker 4>Magsemi Chang, Meta CEO and founder Mark Zuckerberg opened up

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<v Speaker 4>about his strategy why believes it's superior to competitors like

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<v Speaker 4>open AI and Google.

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<v Speaker 3>Just take a listen.

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<v Speaker 12>So you're releasing Lama three point one in this family

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<v Speaker 12>of models big and small, including the biggest open source

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<v Speaker 12>model ever four hundred and five billion parier ors.

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<v Speaker 3>What is that jump unlock?

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<v Speaker 13>I actually think the main thing that people are going

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<v Speaker 13>to do, especially because it's open source, is to use

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<v Speaker 13>it as a teacher to train smaller models that they

0:12:48.920 --> 0:12:51.319
<v Speaker 13>use in different applications. If you just think about like

0:12:51.360 --> 0:12:54.599
<v Speaker 13>all the startups out there, or all the enterprises or

0:12:54.640 --> 0:12:57.120
<v Speaker 13>even governments that are trying to do different things, they

0:12:57.160 --> 0:12:59.960
<v Speaker 13>probably all need to at some level build custom model

0:13:00.240 --> 0:13:02.200
<v Speaker 13>for what they're doing. And it's really hard to do

0:13:02.240 --> 0:13:05.040
<v Speaker 13>that with closed systems out there, whether that's open AI

0:13:05.320 --> 0:13:08.800
<v Speaker 13>or Gemini, Google's thing or whatever. And this is like

0:13:09.640 --> 0:13:12.800
<v Speaker 13>gets to a pretty core part of our philosophy is

0:13:12.840 --> 0:13:13.679
<v Speaker 13>we don't believe there's.

0:13:13.520 --> 0:13:15.840
<v Speaker 8>Going to be like one AI to rule them all.

0:13:16.320 --> 0:13:19.360
<v Speaker 13>Our vision is that there's going to be millions or

0:13:19.400 --> 0:13:21.600
<v Speaker 13>just billions of different models out there, So.

0:13:21.640 --> 0:13:23.679
<v Speaker 3>Not one god, but many. Is that the way to

0:13:23.720 --> 0:13:24.240
<v Speaker 3>think about it?

0:13:24.480 --> 0:13:26.760
<v Speaker 13>Well, I don't think they're gonna be gods, but I

0:13:26.800 --> 0:13:29.000
<v Speaker 13>do think that to some degree, if you if you're

0:13:29.040 --> 0:13:30.960
<v Speaker 13>like an organization, you think you're going to create like

0:13:31.000 --> 0:13:33.440
<v Speaker 13>this one super intelligence that does have this feel to

0:13:33.480 --> 0:13:37.079
<v Speaker 13>me of like people trying to create a god. And

0:13:37.520 --> 0:13:41.240
<v Speaker 13>that's just I find that both the wrong way to

0:13:41.240 --> 0:13:43.560
<v Speaker 13>look at it, but just also very unappealing. You know,

0:13:43.559 --> 0:13:47.679
<v Speaker 13>there's almost two hundred million creators on our platforms. They

0:13:47.720 --> 0:13:49.400
<v Speaker 13>all are trying to build their community. People want to

0:13:49.400 --> 0:13:51.520
<v Speaker 13>interact with them. There aren't enough hours in the day. Like,

0:13:51.520 --> 0:13:53.280
<v Speaker 13>I want to make it that every single one of

0:13:53.280 --> 0:13:57.320
<v Speaker 13>them can easily train like an AI version of themselves

0:13:57.800 --> 0:14:00.240
<v Speaker 13>that they can like they can make it what they want.

0:14:00.280 --> 0:14:03.720
<v Speaker 13>So it's almost like a kind of artistic artifact that

0:14:03.760 --> 0:14:06.080
<v Speaker 13>they're putting out there for their community that allows their

0:14:06.120 --> 0:14:08.480
<v Speaker 13>community and interact with them, but also gives them control

0:14:08.520 --> 0:14:10.400
<v Speaker 13>over how that interaction happens.

0:14:10.760 --> 0:14:13.240
<v Speaker 12>Facebook, and you have been blamed for a lot of things.

0:14:13.480 --> 0:14:16.160
<v Speaker 12>Whether you agree or not, why should we trust you

0:14:16.200 --> 0:14:16.680
<v Speaker 12>with AI?

0:14:17.040 --> 0:14:18.960
<v Speaker 7>Well, it's a loaded question.

0:14:20.640 --> 0:14:22.600
<v Speaker 13>We have gotten blamed for a lot of things, and

0:14:22.840 --> 0:14:24.600
<v Speaker 13>I mean, look, I take our role in all this

0:14:24.600 --> 0:14:27.000
<v Speaker 13>stuff seriously, and I think we've tried to handle all

0:14:27.000 --> 0:14:28.080
<v Speaker 13>this as well as possible.

0:14:28.120 --> 0:14:29.160
<v Speaker 8>I'm not sure that it's all.

0:14:29.080 --> 0:14:31.520
<v Speaker 13>Been fair, but like I'd like to think that we're

0:14:31.520 --> 0:14:33.840
<v Speaker 13>an important and relevant company, so I think the scrutiny

0:14:33.880 --> 0:14:36.960
<v Speaker 13>is generally healthy. One of the defining things around open

0:14:37.000 --> 0:14:40.800
<v Speaker 13>source is that anyone can scrutinize the work, and because

0:14:40.840 --> 0:14:42.280
<v Speaker 13>of that, I think it just puts a lot of

0:14:42.320 --> 0:14:44.760
<v Speaker 13>pressure to make sure that the quality of the work

0:14:44.760 --> 0:14:46.440
<v Speaker 13>that you're doing gets better really quickly.

0:14:48.400 --> 0:14:51.520
<v Speaker 5>That was Bluebag's Emily Kang in her exclusive interview with

0:14:51.720 --> 0:14:54.960
<v Speaker 5>metas CEO and founder Mark Zuckerberg, and I'm delighted to

0:14:54.960 --> 0:14:57.040
<v Speaker 5>say that Emily joins me here on set in San Francisco.

0:14:57.560 --> 0:15:01.000
<v Speaker 5>It was so well timed the interview. It's critically important.

0:15:01.080 --> 0:15:03.360
<v Speaker 5>I think back to the last earnings call where zuckerbog

0:15:03.400 --> 0:15:06.480
<v Speaker 5>basically said we think MESI could be the world's leading

0:15:06.480 --> 0:15:10.320
<v Speaker 5>AI company, leading AI company, but he's coming from behind

0:15:10.320 --> 0:15:13.040
<v Speaker 5>a little bit. You did some catching up with him

0:15:13.040 --> 0:15:13.760
<v Speaker 5>in that conversation.

0:15:14.160 --> 0:15:18.080
<v Speaker 12>Absolutely, and you know, you know, the scale of Facebook, Instagram,

0:15:18.200 --> 0:15:21.640
<v Speaker 12>WhatsApp is incredible. So Meta Ai their chatbot is already

0:15:21.640 --> 0:15:23.960
<v Speaker 12>embedded across all of those products and Oculus as well,

0:15:24.000 --> 0:15:24.920
<v Speaker 12>and you can use it as.

0:15:24.760 --> 0:15:25.920
<v Speaker 3>A standalone chatbot.

0:15:26.080 --> 0:15:28.200
<v Speaker 12>But he says hundreds of millions of people are going

0:15:28.240 --> 0:15:29.480
<v Speaker 12>to be using this by the end of the year,

0:15:29.480 --> 0:15:31.800
<v Speaker 12>in fact before the end of the year, which he

0:15:31.920 --> 0:15:35.240
<v Speaker 12>believes what makes it the most used chatbot in the world.

0:15:35.480 --> 0:15:38.200
<v Speaker 12>So in just a few months. It's, you know, potentially

0:15:38.280 --> 0:15:41.880
<v Speaker 12>going to be eclipsing chat Ept. Now we talked a

0:15:41.880 --> 0:15:44.440
<v Speaker 12>little bit about the level of intelligence of these latest models,

0:15:44.440 --> 0:15:47.280
<v Speaker 12>and he admits he still believes there's a gap between

0:15:47.360 --> 0:15:50.160
<v Speaker 12>LAMA three point one and the most advanced models out there,

0:15:50.160 --> 0:15:52.320
<v Speaker 12>but they're already working on LAMA for and he says

0:15:52.320 --> 0:15:55.160
<v Speaker 12>they're closing that gap when that update comes out.

0:15:56.400 --> 0:16:00.400
<v Speaker 4>Emily, as you were mentioning in what he termed eluded question,

0:16:00.520 --> 0:16:03.120
<v Speaker 4>but look, he's used to criticism, but there's been a

0:16:03.120 --> 0:16:05.280
<v Speaker 4>little criticism about the fact that this is open source

0:16:05.320 --> 0:16:07.560
<v Speaker 4>and the quote unquote danger that that brings. How is

0:16:07.600 --> 0:16:09.240
<v Speaker 4>he responding to that element of things?

0:16:10.000 --> 0:16:12.520
<v Speaker 12>Look, I think broadly, and this is what he's been

0:16:12.520 --> 0:16:15.280
<v Speaker 12>saying now for many months. Open source is more safe,

0:16:15.440 --> 0:16:17.720
<v Speaker 12>is more secure. You've got all of these people around

0:16:17.760 --> 0:16:20.320
<v Speaker 12>the world building on it, using it. If they see

0:16:20.360 --> 0:16:22.680
<v Speaker 12>something wrong, Meta is going to get called out on it.

0:16:22.720 --> 0:16:24.880
<v Speaker 3>He said, and we'll fix it.

0:16:25.160 --> 0:16:27.760
<v Speaker 12>And the question is, though, what's in it for Meta?

0:16:27.800 --> 0:16:29.920
<v Speaker 12>It's not that there's nothing in this for them. If

0:16:29.920 --> 0:16:32.840
<v Speaker 12>the industry builds on this and it becomes an industry standard,

0:16:32.840 --> 0:16:36.200
<v Speaker 12>then Meta has more sway in how the industry evolves,

0:16:36.200 --> 0:16:37.480
<v Speaker 12>so he's saying, look, this is.

0:16:37.440 --> 0:16:38.960
<v Speaker 3>More safe, this is more secure.

0:16:38.640 --> 0:16:40.800
<v Speaker 12>But yes, this is also better for us. In fact,

0:16:40.840 --> 0:16:43.560
<v Speaker 12>he believes it's safer than the closed sources approaches of

0:16:43.600 --> 0:16:46.520
<v Speaker 12>open AI or Google because what's happening under the hood

0:16:46.560 --> 0:16:50.680
<v Speaker 12>there you can't necessarily see when something goes wrong. And

0:16:50.960 --> 0:16:53.280
<v Speaker 12>what's really interesting is, you know, without open source, he says,

0:16:53.360 --> 0:16:56.520
<v Speaker 12>I couldn't have built Facebook. This is a deep seated

0:16:56.520 --> 0:16:59.600
<v Speaker 12>part of his philosophy that he's had for twenty years.

0:17:00.120 --> 0:17:03.160
<v Speaker 12>It's definitely interesting. He understands why there's been pushback, why

0:17:03.200 --> 0:17:06.160
<v Speaker 12>some people see him as this sort of unlikely champion

0:17:06.680 --> 0:17:09.800
<v Speaker 12>of open source, given how Meta and Facebook and its

0:17:09.800 --> 0:17:13.439
<v Speaker 12>platforms have evolved. But he really doubled down that this

0:17:13.520 --> 0:17:14.439
<v Speaker 12>is the best way forward.

0:17:14.520 --> 0:17:17.720
<v Speaker 5>There is Mark Zuckerberg, the gold chain wearing new haircut,

0:17:17.880 --> 0:17:21.960
<v Speaker 5>MMA fighting man, and then there is Mark Zuckerberg at

0:17:21.960 --> 0:17:24.920
<v Speaker 5>the helm of a critically important company. You spent time

0:17:24.960 --> 0:17:27.359
<v Speaker 5>with him at his home in Tahoe. I did what

0:17:27.440 --> 0:17:29.360
<v Speaker 5>did you learn about either of those characters?

0:17:30.080 --> 0:17:32.960
<v Speaker 12>I learned how they relate to each other. Okay, and

0:17:33.320 --> 0:17:36.239
<v Speaker 12>you know, he just seems you know, I've met him

0:17:36.280 --> 0:17:38.679
<v Speaker 12>many times of the years I've interviewed him before, he

0:17:38.760 --> 0:17:42.080
<v Speaker 12>just seems more comfortable in his own skin than I've

0:17:42.840 --> 0:17:45.240
<v Speaker 12>than I've ever seen it. He also taught me how

0:17:45.280 --> 0:17:47.600
<v Speaker 12>to wakesurf. You know, Zuck has all these side quests.

0:17:47.640 --> 0:17:50.440
<v Speaker 12>Wakesurfing is one of them, and you know, we talked

0:17:50.440 --> 0:17:53.240
<v Speaker 12>about how he just has so much energy.

0:17:53.359 --> 0:17:54.600
<v Speaker 3>These things keep him focused.

0:17:54.640 --> 0:17:56.560
<v Speaker 12>Priscilla, his wife, was there as well.

0:17:56.600 --> 0:17:58.240
<v Speaker 3>She's like, I prefer when he's doing all these.

0:17:58.160 --> 0:18:01.679
<v Speaker 12>Other things because he just has so much energy to

0:18:01.760 --> 0:18:04.960
<v Speaker 12>burn off. But my main takeaway was that he's not

0:18:05.040 --> 0:18:07.960
<v Speaker 12>going anywhere. If you think about Jeff Bezos, you know

0:18:08.160 --> 0:18:11.199
<v Speaker 12>who left Amazon, Larry and Sergei who left Google. There

0:18:11.200 --> 0:18:13.200
<v Speaker 12>are all these major tech founders who have since stepped

0:18:13.200 --> 0:18:16.960
<v Speaker 12>back from their companies. Mark Zuckerberg isn't going anywhere. He said, Look,

0:18:17.000 --> 0:18:19.320
<v Speaker 12>I want to see this AI wave play out. You know,

0:18:19.480 --> 0:18:22.520
<v Speaker 12>it's ten or fifteen more years before the next platform

0:18:22.560 --> 0:18:24.280
<v Speaker 12>is going to emerge, and I'm going to be around

0:18:24.280 --> 0:18:24.560
<v Speaker 12>for that.

0:18:26.200 --> 0:18:28.960
<v Speaker 4>Emily Chang can't wait to see more of the interview.

0:18:29.000 --> 0:18:30.000
<v Speaker 3>We thank you so much.

0:18:30.200 --> 0:18:34.000
<v Speaker 4>Tune in to this exclusive interview with Mark Zuckerberg online

0:18:34.080 --> 0:18:37.720
<v Speaker 4>or on Bloomberg TV tonight it's six thirty pm Eastern time.

0:18:38.200 --> 0:18:39.800
<v Speaker 3>We've got some breaking news for you. Apple.

0:18:40.240 --> 0:18:43.640
<v Speaker 4>A foldable iPhone may be released in twenty twenty six.

0:18:43.720 --> 0:18:46.480
<v Speaker 4>This is according to the information. We're currently at session

0:18:46.560 --> 0:18:48.800
<v Speaker 4>highs on Apple stock on the back of that. Potentially

0:18:48.880 --> 0:18:51.720
<v Speaker 4>it could fold width wise like a calmshell, according to

0:18:51.760 --> 0:18:54.199
<v Speaker 4>people familiar, and it would make it similar look to

0:18:54.200 --> 0:18:57.560
<v Speaker 4>that Samsung Galaxy X flip z flip in fact, was

0:18:57.600 --> 0:19:01.600
<v Speaker 4>released all the way back in twenty twenty on Apple shares.

0:19:02.320 --> 0:19:19.480
<v Speaker 4>This is blue mere technology. Big news in cybersecurity. The

0:19:19.520 --> 0:19:23.800
<v Speaker 4>startup Whiz has rejected Google. The company has turned down

0:19:23.840 --> 0:19:28.200
<v Speaker 4>that Alphabet twenty three billion dollar takeover offer, sticking instead

0:19:28.280 --> 0:19:30.960
<v Speaker 4>to its plans for an IPO. According to a memo

0:19:31.040 --> 0:19:34.439
<v Speaker 4>that Bloomberg has seen, the move marks a blow for Google,

0:19:34.440 --> 0:19:36.280
<v Speaker 4>of course, which has tried to catch up to Microsoft

0:19:36.320 --> 0:19:39.720
<v Speaker 4>and Amazon on shoring up its security offerings for its

0:19:39.800 --> 0:19:43.000
<v Speaker 4>cloud services. Or please to bring in Dona woman for

0:19:43.119 --> 0:19:46.560
<v Speaker 4>more and Dana talk to us about why this was

0:19:46.600 --> 0:19:49.919
<v Speaker 4>so integral to compete with Microsoft, asure to take on

0:19:50.400 --> 0:19:53.119
<v Speaker 4>the other competitors in aws in the space of cloud.

0:19:55.080 --> 0:20:00.359
<v Speaker 14>So Wiz would have rounded out Alphabet's cybersecurity offerings. Company

0:20:00.359 --> 0:20:02.680
<v Speaker 14>had already acquired Mandy in a couple of years ago

0:20:02.800 --> 0:20:06.959
<v Speaker 14>for a little over five billion, and Wiz would have

0:20:07.200 --> 0:20:09.479
<v Speaker 14>just rounded out the portfolio with a real focus on

0:20:09.600 --> 0:20:14.639
<v Speaker 14>detecting cyber threats in various cloud platforms. It plugs into

0:20:14.760 --> 0:20:18.520
<v Speaker 14>a number of major existing platforms, including Microsoft, Azure, Amazon

0:20:18.560 --> 0:20:24.080
<v Speaker 14>Web Services. And these are Google's alphabets major competitors in

0:20:24.119 --> 0:20:26.159
<v Speaker 14>the cloud space, and it is an area where as

0:20:26.200 --> 0:20:29.320
<v Speaker 14>much as Google is one of the major known names,

0:20:29.400 --> 0:20:32.600
<v Speaker 14>it does still trail Microsoft and Amazon in that major

0:20:33.000 --> 0:20:33.879
<v Speaker 14>critical space.

0:20:34.760 --> 0:20:37.040
<v Speaker 5>You know, part of the even trusting part of our reporting,

0:20:37.080 --> 0:20:40.080
<v Speaker 5>according to sources, is that the leaders at Whiz are

0:20:40.119 --> 0:20:42.920
<v Speaker 5>also conscious about the regulatory environment antitrusts.

0:20:43.119 --> 0:20:44.760
<v Speaker 8>What do we understand there, Donna.

0:20:45.600 --> 0:20:49.320
<v Speaker 14>Smith indeed would have been a really risky deal for

0:20:49.600 --> 0:20:50.520
<v Speaker 14>Google had it.

0:20:52.040 --> 0:20:54.639
<v Speaker 3>Had had the agreement gone through.

0:20:56.160 --> 0:21:00.920
<v Speaker 14>Rather, had Wiz agreed to an acquisition Google, It's already

0:21:00.920 --> 0:21:05.760
<v Speaker 14>facing various regulatory challenges on everything from its search business

0:21:05.800 --> 0:21:09.840
<v Speaker 14>to its advertising tools, and probably even a much smaller

0:21:10.000 --> 0:21:14.399
<v Speaker 14>acquisition would have drawn some regulatory scrutiny. And we're talking

0:21:14.400 --> 0:21:19.440
<v Speaker 14>a twenty three billion dollar acquisition. This would have dwarfed

0:21:19.960 --> 0:21:23.720
<v Speaker 14>previous alphabet acquisitions, certainly even the Mandiant one that I

0:21:23.840 --> 0:21:25.959
<v Speaker 14>just mentioned, which was about five and a half billion,

0:21:26.600 --> 0:21:30.120
<v Speaker 14>and it would have been a huge risk indeed, which

0:21:30.119 --> 0:21:34.760
<v Speaker 14>according to our reporting, was one factor that the Whiz

0:21:34.760 --> 0:21:40.760
<v Speaker 14>team considered in choosing to IPO instead of being acquired,

0:21:41.200 --> 0:21:44.840
<v Speaker 14>that not only did it feel that it could build

0:21:44.880 --> 0:21:48.240
<v Speaker 14>more value as an independent company, but had some concerns

0:21:48.400 --> 0:21:53.040
<v Speaker 14>about whether it could even get past those regulatory hurdles

0:21:53.080 --> 0:21:55.720
<v Speaker 14>in the US and possibly elsewhere.

0:21:57.040 --> 0:22:07.960
<v Speaker 5>I think bugs Dona Wellman, thank you. Welcome back to

0:22:07.960 --> 0:22:11.640
<v Speaker 5>Bloomberg Technology. Ed Ludlow in San Francisco, and.

0:22:11.560 --> 0:22:13.720
<v Speaker 4>I'm Carine Hyde in London for the week.

0:22:13.840 --> 0:22:17.520
<v Speaker 5>The World of crypto and ETFs regulators approved the first

0:22:17.720 --> 0:22:22.000
<v Speaker 5>US ETFs investing directly in ether. That's according to filings

0:22:22.000 --> 0:22:23.960
<v Speaker 5>and statements from various asset managers.

0:22:24.000 --> 0:22:26.200
<v Speaker 8>Now trading is imminent.

0:22:26.240 --> 0:22:30.000
<v Speaker 5>So let's bring in Bloomberg's Katie Greifeld, friend of the show,

0:22:30.080 --> 0:22:33.240
<v Speaker 5>friend of mine, expert in all things cat meme related,

0:22:33.280 --> 0:22:37.600
<v Speaker 5>but also ETF's critically likes crypto. I think that why

0:22:37.640 --> 0:22:39.840
<v Speaker 5>this story is so interesting we've been talking about so much,

0:22:39.880 --> 0:22:43.560
<v Speaker 5>is that it's a good test for wider interest in

0:22:43.600 --> 0:22:44.560
<v Speaker 5>crypto markets.

0:22:44.640 --> 0:22:47.640
<v Speaker 3>Right you're exactly right. Demand beyond bitcoin.

0:22:47.720 --> 0:22:50.520
<v Speaker 15>Obviously, the Spot bitcoin ETFs HA started trading in January.

0:22:50.760 --> 0:22:54.359
<v Speaker 15>We're a wild success, really blue pass expectations. We have

0:22:54.480 --> 0:22:58.000
<v Speaker 15>seen eight spot ether ets speaking trading in the US

0:22:58.280 --> 0:23:01.680
<v Speaker 15>today and these are expected not to not draw as

0:23:01.760 --> 0:23:05.800
<v Speaker 15>much interest. But trading volume so far has been pretty impressive.

0:23:05.880 --> 0:23:09.119
<v Speaker 15>Over three hundred million in trading volume so far today.

0:23:09.280 --> 0:23:10.840
<v Speaker 3>But if you take a lot a look.

0:23:10.600 --> 0:23:14.879
<v Speaker 15>At Blackrocks Ether ETF in particular, the ticker there is ETHA.

0:23:15.440 --> 0:23:19.560
<v Speaker 15>Volume after the first hour was about fifty million dollars

0:23:20.080 --> 0:23:22.080
<v Speaker 15>maybe a we'll get to two hundred million by the

0:23:22.160 --> 0:23:25.280
<v Speaker 15>end of the day. Just for contexts, Blackrocks Spot Bitcoin

0:23:25.359 --> 0:23:28.119
<v Speaker 15>ETF did about a billion dollars on its first day

0:23:28.160 --> 0:23:31.320
<v Speaker 15>of trading, so impressive, but not quite Bitcoin levels.

0:23:32.680 --> 0:23:35.920
<v Speaker 4>It was never going to be Bitcoin levels, was it, Katie.

0:23:35.960 --> 0:23:37.960
<v Speaker 4>Can you just mark us up to what we all

0:23:38.000 --> 0:23:40.720
<v Speaker 4>anticipated and whether or not the flows are good enough

0:23:41.119 --> 0:23:42.640
<v Speaker 4>for what the market needed to see.

0:23:42.760 --> 0:23:43.440
<v Speaker 3>So if you take a.

0:23:43.359 --> 0:23:45.600
<v Speaker 15>Look at what the consensus is right now. There was

0:23:45.640 --> 0:23:49.160
<v Speaker 15>an interesting note from winter Mute trading. For example, typical

0:23:49.200 --> 0:23:53.680
<v Speaker 15>analyst projections translate into annualized inflows about four point eight

0:23:53.720 --> 0:23:57.040
<v Speaker 15>to six point four billion dollars for these Ether products.

0:23:57.040 --> 0:23:59.680
<v Speaker 15>That's in the first year, which again is not nothing

0:23:59.720 --> 0:24:02.840
<v Speaker 15>for a new ETF debut, especially in a new category.

0:24:02.880 --> 0:24:06.159
<v Speaker 15>That's pretty impressive. But it's just that the Bitcoin ETFs

0:24:06.200 --> 0:24:10.439
<v Speaker 15>received so much enthusiasm. Net inflows of seventeen billion dollars

0:24:10.520 --> 0:24:13.680
<v Speaker 15>even with the outflows that you've seen from GBTC. There's

0:24:13.720 --> 0:24:16.960
<v Speaker 15>some pretty difficult comps there. But again, it'll be interesting

0:24:17.040 --> 0:24:20.960
<v Speaker 15>to see how these develops, whether financial advisors in particular

0:24:21.000 --> 0:24:24.040
<v Speaker 15>will embrace these. There's a lot of question about how

0:24:24.080 --> 0:24:25.480
<v Speaker 15>do you market ether?

0:24:25.680 --> 0:24:28.680
<v Speaker 3>Bitcoin is digital gold? What's the sales pitch for.

0:24:28.720 --> 0:24:31.480
<v Speaker 15>Ether to a non crypto audience. Those are some of

0:24:31.480 --> 0:24:32.920
<v Speaker 15>the questions that need to be answered.

0:24:34.000 --> 0:24:38.200
<v Speaker 4>Oil Silver, We've heard it all, Katie Greifeld atf Queen.

0:24:38.240 --> 0:24:39.400
<v Speaker 3>We appreciate it.

0:24:39.400 --> 0:24:43.120
<v Speaker 5>It's time now for talking tech and first up, CrowdStrike

0:24:43.240 --> 0:24:47.920
<v Speaker 5>CEO George Kurtz is set to testify before Congress. A

0:24:48.040 --> 0:24:51.320
<v Speaker 5>US House committee is called on the Executive for questioning

0:24:51.600 --> 0:24:54.719
<v Speaker 5>after last week's Box software update that caused global computer

0:24:54.800 --> 0:24:59.200
<v Speaker 5>outstages worldwide. Additionally, the US Department of Transportation is open

0:24:59.280 --> 0:25:02.879
<v Speaker 5>in investigation and into Delta as it continues to see

0:25:02.920 --> 0:25:07.080
<v Speaker 5>major flight cancelations and delays from the CrowdStrike outage. Despite

0:25:07.240 --> 0:25:12.240
<v Speaker 5>rivals return to normality plus shares a CACAU falling in

0:25:12.320 --> 0:25:16.040
<v Speaker 5>South Korean as authorities have arrested its founder, Brian Kim

0:25:16.440 --> 0:25:20.320
<v Speaker 5>over alleged market manipulation. The billionaire internet entrepreneur was taken

0:25:20.320 --> 0:25:24.639
<v Speaker 5>into custody after hours of deliberation on fears of quote evidence,

0:25:24.720 --> 0:25:30.240
<v Speaker 5>destruction and flight Kim and CACAU spokespeople deny the allegations.

0:25:30.680 --> 0:25:33.080
<v Speaker 8>Okay, coming up here on Bloomberg Technology, We're gonna have

0:25:33.080 --> 0:25:33.520
<v Speaker 8>to take a.

0:25:33.520 --> 0:25:37.040
<v Speaker 5>Look at the world of AI and robotics, and that's

0:25:37.080 --> 0:25:40.639
<v Speaker 5>through the company. Mitra CEO Chris Walty joins us next

0:25:40.880 --> 0:25:43.520
<v Speaker 5>on the company's launched This is Bloomberg Technology.

0:25:59.040 --> 0:25:59.840
<v Speaker 3>Talking mention now.

0:26:00.160 --> 0:26:02.720
<v Speaker 4>Iconic Capital, an investment firm known for well managing the

0:26:02.760 --> 0:26:05.480
<v Speaker 4>fortunes of Silicon Valley's elite I, said it has raised

0:26:05.480 --> 0:26:08.119
<v Speaker 4>five point seventy five billion dollars for a new venture

0:26:08.160 --> 0:26:11.680
<v Speaker 4>focused fund, and yet another example of the continued concentration

0:26:11.760 --> 0:26:13.879
<v Speaker 4>of dollars in a handful of big VC firms.

0:26:14.000 --> 0:26:16.080
<v Speaker 3>This year of a seven billion dollars went.

0:26:15.960 --> 0:26:18.439
<v Speaker 4>To a group of funds at Andrews and Horowitz another

0:26:18.480 --> 0:26:21.800
<v Speaker 4>three billion dollars to Norwest Venture Partners ed.

0:26:21.840 --> 0:26:23.960
<v Speaker 8>What have you got now?

0:26:24.200 --> 0:26:29.040
<v Speaker 5>Mitra is a company focusing on industrial productivity with AI

0:26:29.359 --> 0:26:33.040
<v Speaker 5>but also three dimensional robotics and just today launched with

0:26:33.160 --> 0:26:36.639
<v Speaker 5>seventy eight million dollars in total financing through a Series B.

0:26:37.200 --> 0:26:40.199
<v Speaker 5>We're delighted to be joined by the CEO and co founder,

0:26:40.280 --> 0:26:43.600
<v Speaker 5>Chris Walty, who's also a former Tesla materials engineer who

0:26:43.640 --> 0:26:47.480
<v Speaker 5>helped build what was Tesla bott Now optimists, we'll get

0:26:47.520 --> 0:26:51.840
<v Speaker 5>to that this is interesting. It's not necessarily a crowded field,

0:26:52.080 --> 0:26:55.920
<v Speaker 5>but I'd say we've had several startups on the show

0:26:55.960 --> 0:26:59.240
<v Speaker 5>focusing in the field of robotics. What is specific about

0:26:59.280 --> 0:27:01.840
<v Speaker 5>your technology and your ambitions on how it's used in

0:27:01.840 --> 0:27:02.440
<v Speaker 5>the real world.

0:27:03.359 --> 0:27:05.600
<v Speaker 7>Sure, morning, thanks for having me on the show. Appreciate it.

0:27:06.680 --> 0:27:09.480
<v Speaker 11>Yeah, I mean the challenge is is that, you know,

0:27:09.640 --> 0:27:13.320
<v Speaker 11>ninety percent of warehouses today have no meaningful automation, so there's.

0:27:13.160 --> 0:27:14.440
<v Speaker 7>A product market fit gap.

0:27:14.680 --> 0:27:17.639
<v Speaker 11>At Tesla, we experienced some of the challenges with the

0:27:17.680 --> 0:27:21.479
<v Speaker 11>current state of automation. We endeavor to make something extremely simple,

0:27:21.840 --> 0:27:25.000
<v Speaker 11>user friendly, and the more simplistic we could make the

0:27:25.040 --> 0:27:29.320
<v Speaker 11>system the more cost effective and universal and flexible the

0:27:29.359 --> 0:27:30.680
<v Speaker 11>solution could be, and.

0:27:30.640 --> 0:27:32.679
<v Speaker 4>The more people want to use it. You've got fortune

0:27:32.720 --> 0:27:36.159
<v Speaker 4>one hundred customers already. Albertson's, for example, what is it

0:27:36.160 --> 0:27:38.080
<v Speaker 4>that the robotics are solving for them already?

0:27:38.880 --> 0:27:41.639
<v Speaker 7>What is it that robucks is not solving for them? Well,

0:27:42.119 --> 0:27:43.680
<v Speaker 7>if you look at the traditional state.

0:27:44.080 --> 0:27:46.439
<v Speaker 4>Is solving for them? What is the positive? What are

0:27:46.480 --> 0:27:48.159
<v Speaker 4>you finding that is already the application?

0:27:48.280 --> 0:27:48.600
<v Speaker 3>Chris?

0:27:49.040 --> 0:27:51.800
<v Speaker 7>Oh, sure, what is it we are solving?

0:27:52.080 --> 0:27:56.560
<v Speaker 11>Yeah, So we're focused on moving material at the palette level.

0:27:56.640 --> 0:27:58.280
<v Speaker 7>It's the bread and butter supply chain.

0:27:58.400 --> 0:28:00.600
<v Speaker 11>Almost everything you see around you has been in a

0:28:00.640 --> 0:28:03.880
<v Speaker 11>palette at one point, and we're doing that a much

0:28:03.920 --> 0:28:08.840
<v Speaker 11>more simple and an efficient way through the use of

0:28:09.040 --> 0:28:13.040
<v Speaker 11>just two products. It's really a steel ladder structure and

0:28:13.080 --> 0:28:15.879
<v Speaker 11>a bot that moves in full three dimensions, which allows

0:28:15.960 --> 0:28:19.720
<v Speaker 11>you to basically use software to define how your warehouse

0:28:19.760 --> 0:28:24.359
<v Speaker 11>operates versus traditionally using mechanisms like conveyors and elevators in

0:28:24.400 --> 0:28:24.800
<v Speaker 11>that sort.

0:28:25.520 --> 0:28:28.200
<v Speaker 5>Sony eight million dollars, I can't tell if that's quite

0:28:28.240 --> 0:28:31.919
<v Speaker 5>a lot of money or not enough money to launch

0:28:31.960 --> 0:28:34.520
<v Speaker 5>a product like this, scale it and put it into

0:28:34.560 --> 0:28:35.280
<v Speaker 5>the real world.

0:28:35.760 --> 0:28:39.640
<v Speaker 11>You tell me it sounds like a lot, of course,

0:28:40.200 --> 0:28:41.800
<v Speaker 11>but you know, you have to keep in mind that

0:28:41.960 --> 0:28:47.120
<v Speaker 11>there's seven different engineering disciplines, and you know it's incredibly

0:28:47.160 --> 0:28:51.960
<v Speaker 11>important to make the product reliable, scalable, et cetera. I mean,

0:28:52.120 --> 0:28:55.440
<v Speaker 11>you know, automotive companies spend quite a bit of money

0:28:55.440 --> 0:28:58.080
<v Speaker 11>on the manufacturing and the development to bring an electric

0:28:58.160 --> 0:29:02.600
<v Speaker 11>vehicle to market. Where essentially bringing a small electric vehicle

0:29:02.640 --> 0:29:05.920
<v Speaker 11>that not only moves three thousand pounds in the horizontal

0:29:05.920 --> 0:29:07.640
<v Speaker 11>plane but also moves it up and down.

0:29:08.320 --> 0:29:13.600
<v Speaker 4>Reliable, scalable, and with in a near term ideal of

0:29:13.640 --> 0:29:16.640
<v Speaker 4>being useful. Now, what's so interesting is your background having

0:29:16.640 --> 0:29:18.040
<v Speaker 4>been at Rivian but also at Tesla.

0:29:18.040 --> 0:29:20.160
<v Speaker 3>Look, we're about to get Tesla numbers, we're about to.

0:29:20.080 --> 0:29:24.000
<v Speaker 4>Fixate upon Optimus and once again a slight delay to

0:29:24.120 --> 0:29:27.640
<v Speaker 4>its practical use cases. What was it like at Optimists

0:29:27.680 --> 0:29:29.680
<v Speaker 4>and how did you decide that you had to do

0:29:29.760 --> 0:29:32.480
<v Speaker 4>something different because perhaps of the delays there.

0:29:33.680 --> 0:29:36.840
<v Speaker 11>Yeah, my background at Tesla was a very interesting one.

0:29:37.000 --> 0:29:40.480
<v Speaker 11>I had experienced both on the traditional warehouse side and

0:29:40.520 --> 0:29:42.360
<v Speaker 11>trying to get material flow up and running for it

0:29:42.560 --> 0:29:45.680
<v Speaker 11>to support Model three manufacturing. And then it was also

0:29:45.880 --> 0:29:49.040
<v Speaker 11>asked and tasked to lead the Optimist program. You know,

0:29:49.120 --> 0:29:54.360
<v Speaker 11>humanoid robotics absolutely fascinating. Had a blast working on those

0:29:54.400 --> 0:29:57.600
<v Speaker 11>problems and leading that team, But ultimately it's a bit

0:29:57.640 --> 0:30:01.400
<v Speaker 11>of a ninth inning problem and there's innings four, five, six,

0:30:01.440 --> 0:30:04.920
<v Speaker 11>and seven, et cetera that still need to be solved

0:30:05.120 --> 0:30:08.760
<v Speaker 11>and for the next ten to fifteen years of my career,

0:30:09.320 --> 0:30:11.120
<v Speaker 11>as well as the rest of the team that's joined

0:30:11.200 --> 0:30:14.360
<v Speaker 11>us on this mission. We're really solving a very critical

0:30:14.400 --> 0:30:18.560
<v Speaker 11>problem in supply chain with a very simple and direct

0:30:18.560 --> 0:30:19.160
<v Speaker 11>form factor.

0:30:20.120 --> 0:30:24.400
<v Speaker 5>I guess philosophically, but also from an engineering perspective, why

0:30:24.480 --> 0:30:28.320
<v Speaker 5>is the direction you're going better than the use case

0:30:28.360 --> 0:30:32.400
<v Speaker 5>of a humanoid robots such as Optimus in the warehouse

0:30:32.480 --> 0:30:33.920
<v Speaker 5>or manufacturing environment.

0:30:35.240 --> 0:30:37.400
<v Speaker 11>It's a great question. I don't know if one is

0:30:37.440 --> 0:30:39.480
<v Speaker 11>better or worse than the other. I would say they're

0:30:39.480 --> 0:30:42.800
<v Speaker 11>solving two very different problems, right. What's very unique about

0:30:42.880 --> 0:30:46.760
<v Speaker 11>humans is their ability to manipulate and reason at the edge.

0:30:47.240 --> 0:30:49.720
<v Speaker 7>And that's where a humanoid robot is very powerful.

0:30:50.640 --> 0:30:52.320
<v Speaker 11>But when you look at what's moved around in a

0:30:52.320 --> 0:30:55.040
<v Speaker 11>warehouse in a manufacturing facility, a lot of those that

0:30:55.120 --> 0:30:58.960
<v Speaker 11>material weighs hundreds, if not thousands of pounds, and that's

0:30:59.000 --> 0:31:01.480
<v Speaker 11>not something that a human really is designed to do.

0:31:02.080 --> 0:31:04.480
<v Speaker 11>So you can think of what we're building at MITRA

0:31:04.800 --> 0:31:09.320
<v Speaker 11>as something that's very complementary orthogonal to humanoid robotics or

0:31:09.400 --> 0:31:10.200
<v Speaker 11>humans in general.

0:31:11.760 --> 0:31:14.320
<v Speaker 4>Okay, so you're going to work in line, sort of

0:31:14.360 --> 0:31:17.720
<v Speaker 4>in a sophisticated manner to work alongside the future of

0:31:17.720 --> 0:31:18.480
<v Speaker 4>an optimus.

0:31:18.680 --> 0:31:20.160
<v Speaker 3>You've got strategic investment.

0:31:20.240 --> 0:31:23.040
<v Speaker 4>I'm assuming you've already raised what's seventy eight million dollars

0:31:23.080 --> 0:31:23.560
<v Speaker 4>in funding?

0:31:23.600 --> 0:31:25.920
<v Speaker 3>How expensive does this get? How many more rounds of

0:31:25.920 --> 0:31:26.680
<v Speaker 3>funding do you need?

0:31:26.760 --> 0:31:31.680
<v Speaker 11>Chris, Yeah, I mean our it's unclear at this point.

0:31:32.200 --> 0:31:35.920
<v Speaker 11>Our goal is to execute as quickly and as efficiently

0:31:35.960 --> 0:31:38.800
<v Speaker 11>as possible. You know, the next two years will develop

0:31:38.880 --> 0:31:42.040
<v Speaker 11>the system, invest in the team, and launch to a

0:31:42.040 --> 0:31:45.280
<v Speaker 11>few more customers, and in that time you know that

0:31:45.520 --> 0:31:50.040
<v Speaker 11>we'll be generating revenue and you know the funding environment

0:31:50.040 --> 0:31:51.920
<v Speaker 11>in two years. Who knows what that will be like.

0:31:52.000 --> 0:31:55.720
<v Speaker 11>But it's safe to say that funding can help accelerate

0:31:55.760 --> 0:32:00.280
<v Speaker 11>the mission. It's not necessarily always required for a company to.

0:32:00.320 --> 0:32:05.040
<v Speaker 4>Exist, particularly if you're aiming to be revenue generating, maybe

0:32:05.040 --> 0:32:09.040
<v Speaker 4>even profitability coming into your Lexicon micro CEO and co

0:32:09.080 --> 0:32:13.000
<v Speaker 4>founder Chris Welty. Great experience that you have, great pushing

0:32:13.040 --> 0:32:14.280
<v Speaker 4>us forward on what to expect.

0:32:14.280 --> 0:32:16.800
<v Speaker 3>How a robotic said, what have we got? Well?

0:32:16.840 --> 0:32:19.880
<v Speaker 5>From one Tesla alumni enterprise to another. A couple of

0:32:19.880 --> 0:32:22.680
<v Speaker 5>weeks ago, I took a trip on a boat, an

0:32:22.680 --> 0:32:26.280
<v Speaker 5>electric boat, and it's from startup ARC looking to launch

0:32:26.560 --> 0:32:27.640
<v Speaker 5>later this year.

0:32:27.680 --> 0:32:28.480
<v Speaker 8>Here's what it's like.

0:32:29.520 --> 0:32:32.200
<v Speaker 5>This is the Arc Sport, a fully electric boat from

0:32:32.200 --> 0:32:34.960
<v Speaker 5>Los Angeles based Ark, and it's built for water sports

0:32:35.080 --> 0:32:38.240
<v Speaker 5>on lakes and wide rivers, but it can go in saltwater.

0:32:38.400 --> 0:32:39.920
<v Speaker 5>So we got to test it out in the San

0:32:40.000 --> 0:32:43.320
<v Speaker 5>Francisco Bay. We set off from Sorcelito Harbor and with

0:32:43.400 --> 0:32:45.680
<v Speaker 5>Alcatraz and the Golden Gate Bridge coming into site, we

0:32:45.680 --> 0:32:47.720
<v Speaker 5>took it up to full speed and we led a rip.

0:32:49.360 --> 0:32:51.240
<v Speaker 8>Ark Sport can get up to forty.

0:32:50.960 --> 0:32:53.880
<v Speaker 5>Miles per hour, but it has a surprisingly intuitive drive

0:32:53.880 --> 0:32:57.080
<v Speaker 5>by wire system. The operating system also looks very similar

0:32:57.240 --> 0:33:01.840
<v Speaker 5>to Tesla's in esthetic and functionality. Using front and rear cameras,

0:33:01.920 --> 0:33:04.120
<v Speaker 5>you can see the front and check on the wakeboarder

0:33:04.120 --> 0:33:06.440
<v Speaker 5>who's in the back, or make sure no passengers have

0:33:06.520 --> 0:33:07.120
<v Speaker 5>fallen off.

0:33:07.360 --> 0:33:09.800
<v Speaker 8>Luckily, none of US did. The boat has five.

0:33:09.680 --> 0:33:11.840
<v Speaker 5>Hundred horse power from a two hundred and twenty six

0:33:11.960 --> 0:33:14.720
<v Speaker 5>killer what hour battery pack. That's almost double the battery

0:33:14.760 --> 0:33:17.680
<v Speaker 5>capacity powering Tesla's cyber truck. It's meant to give you

0:33:17.720 --> 0:33:20.120
<v Speaker 5>a full day on the water about forty six hours

0:33:20.120 --> 0:33:23.040
<v Speaker 5>of driving time. At two hundred and fifty eight thousand dollars,

0:33:23.240 --> 0:33:26.280
<v Speaker 5>arc Sports price is comparable to gas power boats from

0:33:26.360 --> 0:33:29.640
<v Speaker 5>names like Mastercraft, but the direct consumer sales model means

0:33:29.640 --> 0:33:31.920
<v Speaker 5>there's no dealer in the middle taking a cup. That

0:33:32.040 --> 0:33:34.280
<v Speaker 5>means art can spend a little bit more on the design,

0:33:34.360 --> 0:33:38.080
<v Speaker 5>the experience in the boat, upscale sound systems, and plush seating.

0:33:38.200 --> 0:33:40.360
<v Speaker 5>It's also got a really cool frust jet system for

0:33:40.440 --> 0:33:43.280
<v Speaker 5>docking up, and it can charge to eighty percent in

0:33:43.400 --> 0:33:45.760
<v Speaker 5>like forty five minutes. The boat's designed by a team

0:33:45.800 --> 0:33:49.040
<v Speaker 5>of former SpaceX and Tesla engineers, and it's shipping later

0:33:49.120 --> 0:33:51.800
<v Speaker 5>this year to go after a two billion dollar market

0:33:51.960 --> 0:33:54.040
<v Speaker 5>in twenty twenty four for wakeboats.

0:33:55.720 --> 0:33:56.320
<v Speaker 8>Two hundred and.

0:33:56.320 --> 0:33:58.920
<v Speaker 5>Fifty eight thousand dollars shipping later this year. Maybe Emily

0:33:59.000 --> 0:34:01.040
<v Speaker 5>Chang and Mark Zuckerberger got their eyes among.

0:34:00.880 --> 0:34:04.040
<v Speaker 3>Car Oh water sports.

0:34:04.120 --> 0:34:07.600
<v Speaker 4>Meanwhile, coming up Tech giants Apple and Micron. They're paying

0:34:07.640 --> 0:34:10.360
<v Speaker 4>it a visit to China as the US ramps up

0:34:10.440 --> 0:34:29.959
<v Speaker 4>chip cubs this blue bag technology.

0:34:27.280 --> 0:34:33.239
<v Speaker 12>I know, you've always been fascinated by China and you

0:34:33.320 --> 0:34:36.040
<v Speaker 12>learn to speak Mandarin, and what do you know about

0:34:36.080 --> 0:34:37.160
<v Speaker 12>where China is on.

0:34:37.200 --> 0:34:38.799
<v Speaker 3>AI and AGI?

0:34:41.880 --> 0:34:44.960
<v Speaker 13>I don't personally know a ton. There's this question, which

0:34:45.000 --> 0:34:48.320
<v Speaker 13>is how should the US approach kind of AI competition

0:34:48.400 --> 0:34:51.080
<v Speaker 13>with China. And there's one strain of thought which is like, okay, well,

0:34:51.080 --> 0:34:54.520
<v Speaker 13>we need to like lock it all down. And I

0:34:54.880 --> 0:34:57.360
<v Speaker 13>just happen to think that that's really wrong because the

0:34:57.480 --> 0:35:02.800
<v Speaker 13>US thrives on just kind of open and decentralized innovation.

0:35:02.840 --> 0:35:04.719
<v Speaker 13>I mean, that's the way our economy works. That's like

0:35:04.760 --> 0:35:08.439
<v Speaker 13>how we build awesome stuff. But I think the leading

0:35:08.480 --> 0:35:12.280
<v Speaker 13>companies should work with the US government and make sure

0:35:12.320 --> 0:35:15.319
<v Speaker 13>that our kind of national defense and things like that

0:35:15.400 --> 0:35:19.360
<v Speaker 13>have sort of a perpetual first mover advantage on the

0:35:19.400 --> 0:35:21.040
<v Speaker 13>leading technology in the world, so.

0:35:20.960 --> 0:35:23.120
<v Speaker 3>We win the AI wars this way.

0:35:23.239 --> 0:35:25.239
<v Speaker 13>I think there there's the question of what can you

0:35:25.280 --> 0:35:27.720
<v Speaker 13>hope to achieve If you're trying to say, okay, should

0:35:27.719 --> 0:35:29.919
<v Speaker 13>the US try to be five or ten years ahead

0:35:29.920 --> 0:35:32.319
<v Speaker 13>of China. I just don't know if that's if that's

0:35:32.320 --> 0:35:35.680
<v Speaker 13>a reasonable goal. So I'm not sure if you can

0:35:35.719 --> 0:35:38.520
<v Speaker 13>maintain that. But what I do think is a reasonable

0:35:38.560 --> 0:35:44.160
<v Speaker 13>goal is maintaining a perpetual six months to eight month

0:35:44.280 --> 0:35:47.400
<v Speaker 13>lead by making sure that the American company is in,

0:35:47.440 --> 0:35:51.240
<v Speaker 13>the American folks working on this continue producing the best

0:35:51.520 --> 0:35:54.760
<v Speaker 13>AI system.

0:35:54.880 --> 0:35:57.880
<v Speaker 5>That was Bloomberg's Milie Chang in more of very exclusive

0:35:57.920 --> 0:36:00.799
<v Speaker 5>interview with Mark Zuckerberg, or that you can tune into

0:36:00.800 --> 0:36:04.400
<v Speaker 5>the exclusive interview with Mark Zuckerberg online or on Bloomberg

0:36:04.440 --> 0:36:08.400
<v Speaker 5>TV tonight at six thirty pm Eastern Time. Let's keep

0:36:08.400 --> 0:36:12.280
<v Speaker 5>the conversation going on China's US Chip Cubs Titan. Leaders

0:36:12.320 --> 0:36:15.560
<v Speaker 5>from tech giants Apple and Micron paid a visit to Beijing.

0:36:15.800 --> 0:36:18.080
<v Speaker 5>I want to bring in Bloombergs Mike Shepherd, who leads

0:36:18.080 --> 0:36:22.480
<v Speaker 5>our coverage at the intersection of politics and technology, Apple's

0:36:22.560 --> 0:36:26.680
<v Speaker 5>COO Jeff Williams, and Micron CEO and president Sanjai Morotra

0:36:27.160 --> 0:36:31.120
<v Speaker 5>go to Beijing. It tells us how important, despite the

0:36:31.120 --> 0:36:34.600
<v Speaker 5>political backdrop, the market is and the supply chain is.

0:36:36.040 --> 0:36:39.399
<v Speaker 2>It really does and it was a great segue into

0:36:39.480 --> 0:36:43.319
<v Speaker 2>our discussion. Now to hear from Mark Zuckerberg too, about

0:36:43.360 --> 0:36:47.880
<v Speaker 2>the importance of China and this tension between the government

0:36:47.880 --> 0:36:51.480
<v Speaker 2>here in Washington and with the industry around the world.

0:36:52.040 --> 0:36:54.920
<v Speaker 2>Sees in the world's second largest economy, which is our

0:36:54.960 --> 0:36:58.080
<v Speaker 2>opportunity both in terms of a large consumer market and

0:36:58.120 --> 0:37:01.440
<v Speaker 2>also the importance of the productions apply chain lines that

0:37:01.480 --> 0:37:05.680
<v Speaker 2>are embedded in China as well. So, as you hear

0:37:05.719 --> 0:37:08.279
<v Speaker 2>from Zuckerberg, and as you see in the visit of

0:37:08.320 --> 0:37:12.560
<v Speaker 2>these two key executives, China is super important for their

0:37:12.600 --> 0:37:14.320
<v Speaker 2>continued growth and development.

0:37:15.880 --> 0:37:19.439
<v Speaker 4>Basically, Mahotra and Williams, they're both part of this US

0:37:19.560 --> 0:37:24.719
<v Speaker 4>China Business Council, right, And I'm kind of trying to

0:37:24.760 --> 0:37:26.640
<v Speaker 4>understand how much you think that that sort of a

0:37:26.719 --> 0:37:29.919
<v Speaker 4>council really achieves, how much they are able to get

0:37:29.960 --> 0:37:35.560
<v Speaker 4>business done amid the tip for TAP from a geopolitical perspective, Well, it.

0:37:35.520 --> 0:37:38.560
<v Speaker 2>Does counter the tit for TAM. That's a great question, Carolyn,

0:37:38.600 --> 0:37:42.799
<v Speaker 2>because you do see all these concrete actions emanating from

0:37:42.880 --> 0:37:46.759
<v Speaker 2>the Biden administration in the form of export restrictions. These

0:37:46.800 --> 0:37:51.560
<v Speaker 2>are measures aimed at curbing China's access to advanced technology,

0:37:51.880 --> 0:37:57.040
<v Speaker 2>especially semiconductors needed the power of technology like artificial intelligence

0:37:57.080 --> 0:38:01.000
<v Speaker 2>that Mark Zuckerberg was just talking about. Now having this

0:38:01.239 --> 0:38:05.120
<v Speaker 2>US China Business Council go and meet with very senior officials,

0:38:05.120 --> 0:38:11.640
<v Speaker 2>including the Vice Premier Hi Lafeng and the Foreign Minister Wangi.

0:38:11.760 --> 0:38:14.839
<v Speaker 2>These are important officials to meet and it carries some symbolism,

0:38:15.120 --> 0:38:17.719
<v Speaker 2>and it allowed the Chinese to convey to the American

0:38:17.760 --> 0:38:20.120
<v Speaker 2>business community at a very high level.

0:38:19.920 --> 0:38:21.880
<v Speaker 3>That look, we still need you.

0:38:21.960 --> 0:38:25.520
<v Speaker 2>We realize that politically there are some tensions, but we

0:38:25.640 --> 0:38:29.200
<v Speaker 2>do not want to see this decoupling that some in

0:38:29.480 --> 0:38:31.279
<v Speaker 2>Washington have been pushing for.

0:38:32.320 --> 0:38:34.400
<v Speaker 5>Just really quick, Mike, We can't get away from the

0:38:34.480 --> 0:38:37.680
<v Speaker 5>US presidential election. But one strategy of the US is

0:38:37.680 --> 0:38:40.000
<v Speaker 5>also to lean on its allies in respect to tech

0:38:40.040 --> 0:38:43.040
<v Speaker 5>cubs in China. You know what's the chatter in that

0:38:43.080 --> 0:38:43.920
<v Speaker 5>respect in DC.

0:38:45.239 --> 0:38:48.719
<v Speaker 2>Well, that's a great question, because right now what we're

0:38:48.760 --> 0:38:52.680
<v Speaker 2>seeing is a little bit more reluctance in escalating those

0:38:52.760 --> 0:38:57.880
<v Speaker 2>restrictions on technology. Even further, we've seen pushback from the

0:38:57.960 --> 0:39:00.880
<v Speaker 2>Dutch and the Japanese against efforts by the US to

0:39:00.960 --> 0:39:06.359
<v Speaker 2>get the makers of chip making machinery to dial back

0:39:06.400 --> 0:39:11.760
<v Speaker 2>on servicing and the sending of spare parts to China

0:39:11.920 --> 0:39:16.040
<v Speaker 2>for some of those machines used in the production of

0:39:16.080 --> 0:39:17.920
<v Speaker 2>the fabrication of semiconductors.

0:39:19.760 --> 0:39:23.319
<v Speaker 4>All eyes on the Dutch, the Japanese, China, US Mike

0:39:23.400 --> 0:39:24.879
<v Speaker 4>Sheppard is always across it all.

0:39:25.120 --> 0:39:27.799
<v Speaker 3>We so appreciate it. Thank you. And that does it

0:39:27.840 --> 0:39:30.800
<v Speaker 3>for this very busy edition of Bloombog Technology.

0:39:30.520 --> 0:39:34.360
<v Speaker 5>Ed very global London, New York. We're even in Austria

0:39:34.400 --> 0:39:36.920
<v Speaker 5>at one point. Check out the pod. Big shout out

0:39:36.960 --> 0:39:40.000
<v Speaker 5>to the pod. Wherever you get your podcasts, Apple, Spotify

0:39:40.320 --> 0:39:42.640
<v Speaker 5>and on iHeart. A lot still to come this week

0:39:42.680 --> 0:39:44.840
<v Speaker 5>in earnings. This is Bloomberg Technology