WEBVTT - Tesla AI Day 2.0

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<v Speaker 1>From the heart of where innovation, money and power collive

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<v Speaker 1>in Silicon Valley and beyond. This is Bloomberg Technology with

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<v Speaker 1>Emily jay I met Lovelow in New York in for

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<v Speaker 1>Emily Chang. This is Bloomberg Technology. Coming up in the

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<v Speaker 1>next hour artificial intelligence, a humanoid robot, and a recruitment

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<v Speaker 1>drive to power Tesla's work on full self driving. The

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<v Speaker 1>ev maker hosts its second A I D will discuss

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<v Speaker 1>what to expect. Plus, Bloomberg learns that super agent Ari

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<v Speaker 1>Emmanuel is pushing a settlement between Twitter and Elon Musk.

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<v Speaker 1>The social media company shares jump as Musks texts. Two

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<v Speaker 1>key players are revealed, and Katie Hahn left Andres and

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<v Speaker 1>Horowitz to start her own firm, Han Ventures. I'll sit

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<v Speaker 1>down with her on how she plans to put the

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<v Speaker 1>one point five billion dollars of capital she raised to

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<v Speaker 1>work again to all that in a moment. The first

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<v Speaker 1>let's get to the markets and wow, what an end

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<v Speaker 1>to a week, What an end to a month? And

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<v Speaker 1>what an end to a quart of brutal for then

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<v Speaker 1>as that one hundred bloombergs, Baby lip Scholtz here with

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<v Speaker 1>the latest blimey, Yeah, pretty much everything under the sea

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<v Speaker 1>or everything trading sharply in the red today. It's really

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<v Speaker 1>just been a brutal September. When I have multiple emails

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<v Speaker 1>from analysts and strategists saying good riddance September, that really

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<v Speaker 1>is a signal of all you need to know for

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<v Speaker 1>the Nazza one, in particular, a third quarter trading in

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<v Speaker 1>the red. That's its longest quarterly losing streak since two

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<v Speaker 1>thousand and two. Obviously, this pain has really been across

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<v Speaker 1>the board. You're looking at stocks trading lower than the

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<v Speaker 1>likes of Apple, Microsoft providing the largest largest drag. Really

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<v Speaker 1>just bad when the market is so heavily skewed to

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<v Speaker 1>these tech giants. I think I took a bit of

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<v Speaker 1>a pause during Friday to think when things were slightly different.

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<v Speaker 1>We had the FED on September twenty one, and then

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<v Speaker 1>when I look at the NASTAC one hundred, I think

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<v Speaker 1>I'm right saying mid August we were up nineteen point

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<v Speaker 1>three percent for the quarter or something like that, and

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<v Speaker 1>things have changed so quickly. What is top of mind

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<v Speaker 1>right now for investors, particularly when we look across technology

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<v Speaker 1>and the equity markets. It's a lot of uncertainty obviously

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<v Speaker 1>around the Federal Reserve, the intent to continue raising interest rates,

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<v Speaker 1>keeping those interest rates higher for longer. But then when

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<v Speaker 1>you really look at the latest leg lower and you

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<v Speaker 1>look at Apple, Amazon, and Microsoft, there are a lot

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<v Speaker 1>of jitters around earning season. Earnings is right on the horizon.

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<v Speaker 1>You looked at that report from Nike that really blew

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<v Speaker 1>out the bottom for that stock, and wait on both

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<v Speaker 1>the Nasdaq one hundred and the down Industrial average. So

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<v Speaker 1>concerns are really getting to the point where price to

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<v Speaker 1>earnings are going to be something that falls under the

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<v Speaker 1>mic right, and earnings expectations have already come down. We

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<v Speaker 1>wait for the third quarter earnings and see how much

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<v Speaker 1>earnings expectations full further thank you to bilian Berg's Bailey

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<v Speaker 1>lip Sholts Right. On Friday night, Elon Musk will hold

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<v Speaker 1>testa second ever AI date. We expect updates on full

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<v Speaker 1>self driving, the company's in house supercomputer, and of course Optimus,

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<v Speaker 1>a humanoid Tesla box. You may remember the Mr Roboto

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<v Speaker 1>style dancer the joint Musk on stage last year. This

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<v Speaker 1>time he's expected to unveil a true prototypes. Sorry, it's

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<v Speaker 1>hard to keep a straight face with that. On the

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<v Speaker 1>screen to get what we expect. In the latest we're

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<v Speaker 1>joined by Bloomberg Shawn o'caine over in Austin. So, Sean,

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<v Speaker 1>what do we expect. It's about what it looks like

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<v Speaker 1>when I try to dance too. Um. Yeah, I think

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<v Speaker 1>the biggest thing that we're waiting for is what kinds

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<v Speaker 1>of demos. Musk has promised to show off a couple

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<v Speaker 1>of different actual working demos tonight, and so I think

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<v Speaker 1>that's going to be the thing that people take away

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<v Speaker 1>the most. More specifically, think a lot of people in

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<v Speaker 1>the community who are working on robotics and have studied

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<v Speaker 1>it for a long time, you know, I think we

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<v Speaker 1>all they all expect to see Tesla try to prove

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<v Speaker 1>that it can differentiate somehow from some of the other

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<v Speaker 1>companies like Boston Dynamics that are already working on this

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<v Speaker 1>kind of stuff. And one thing we are probably going

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<v Speaker 1>to get based on what Tesla has been tweeting and

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<v Speaker 1>Elon Musk has been tweeting, is some sort of demonstration

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<v Speaker 1>of manual dexterity and being able to show that the

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<v Speaker 1>robot can really do fine motor skills, uh, you know,

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<v Speaker 1>by doing some sort of demo whether that's you know,

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<v Speaker 1>cracking open a beer or something like that. I don't know,

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<v Speaker 1>I'm sure it will be something weird, maybe throwing up

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<v Speaker 1>a giant metal ball at a cybertruck. Bring us up

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<v Speaker 1>to speed on where Test is at with its work

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<v Speaker 1>around our official intelligence, Right, we're really focused on on Optimus,

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<v Speaker 1>but actually the focus to this point has really been

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<v Speaker 1>about full self driving. Yeah. I mean they have spent

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<v Speaker 1>a lot of time. They have a lot of engineers

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<v Speaker 1>who have been working on the sort of underlying the

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<v Speaker 1>fundamental research and development and engineering that goes into trying

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<v Speaker 1>to make their cars be able to drive themselves. And

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<v Speaker 1>they're not there yet, but they've done a ton of

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<v Speaker 1>work going down that path, more than any other automaker.

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<v Speaker 1>And you know, the thinking is and and the pitch

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<v Speaker 1>from Elon Musk is like, hey, we're doing all this work,

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<v Speaker 1>there's a way that we could leverage that into other

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<v Speaker 1>lines of business. And so whether or not that's taking

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<v Speaker 1>the supercomputer that they've developed and making space for other

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<v Speaker 1>companies to use it in some capacity because maybe in

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<v Speaker 1>some ways it exceeds what other sort of chip makers

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<v Speaker 1>are out there doing, or taking the virtual worlds that

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<v Speaker 1>they're building to train those AI models to power the

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<v Speaker 1>full self driving system and finding a way to use

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<v Speaker 1>what they're doing there, and so you know, I think

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<v Speaker 1>that's probably one thing we maybe get a little more

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<v Speaker 1>clarity on tonight. Musk is always very proud of the

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<v Speaker 1>supercomputing team, and some of these things are happening, you know,

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<v Speaker 1>far more in the background compared to sort of the

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<v Speaker 1>electric vehicle divories and sales. So I hope we hear

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<v Speaker 1>more about some of that tonight, but he's promised it's

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<v Speaker 1>going to be very technical. Tesla treats all these events

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<v Speaker 1>as recruiting events, so you know, if you're watching as

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<v Speaker 1>a lay person, it might be hard to follow, but

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<v Speaker 1>I'm sure there will be some some sort of dancing

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<v Speaker 1>robot to keep you entertained. Hey, show them real quick,

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<v Speaker 1>give us some color. What what? What do these events

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<v Speaker 1>tend to be like? How do they tend to play out?

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<v Speaker 1>I mean they're overwhelming when you're there. Even the vehicle

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<v Speaker 1>reveals are always a little bit um, you know, like

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<v Speaker 1>rock concerts, I mean they're always it's always a big stage,

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<v Speaker 1>there's always a lot of loud music. Uh. And I

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<v Speaker 1>was at the opening of the Austin factory earlier this year,

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<v Speaker 1>and it was you know, Tesla took that to its

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<v Speaker 1>most extreme and like actually hosting concerts during the event

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<v Speaker 1>before and after Elon Musk's folks. So I don't think

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<v Speaker 1>we're gonna get quite as much of that element tonight.

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<v Speaker 1>It's gonna be a lot nearlier, but you never know.

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<v Speaker 1>With Elon Musk, it can always go in a really

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<v Speaker 1>wild direction. And so I'm I think I think I'm

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<v Speaker 1>most interested to see is how far has the development

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<v Speaker 1>of this robot com Does it looked like someone dancing

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<v Speaker 1>at a suit or will that actually looks like a robot?

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<v Speaker 1>All right, Bloomberg, Seawan Okaine, thank you very much. I

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<v Speaker 1>want to get some more analysis and bring in p F.

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<v Speaker 1>Farrago of New Street Research. She currently has a by

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<v Speaker 1>rating on Tessa Stock. And I'm delighted to have you

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<v Speaker 1>here in New York with me because you cover Tesla,

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<v Speaker 1>but from the tech perspective, you also cover in video

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<v Speaker 1>a chip maker that's done a lot of work around

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<v Speaker 1>artificial intelligence, and we'll bring those themes in. What is

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<v Speaker 1>your interest in the work that Tester is doing around AI?

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<v Speaker 1>What do you see is the opportunity there so let's

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<v Speaker 1>talk about like the chip space. What's very interesting is

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<v Speaker 1>that test slat today they have these giants and your

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<v Speaker 1>network that is driving the car for you more or less, right,

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<v Speaker 1>and these thing still has to train to learn. And

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<v Speaker 1>the learning cycle today on giant clusters of Nvida GPUs

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<v Speaker 1>takes let's say five days, and the objective of dojos

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<v Speaker 1>has developed in nose is to be able to do

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<v Speaker 1>that over one night, right. And that's basically instead of

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<v Speaker 1>having people working and waiting a week, is people working,

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<v Speaker 1>going to bed, and the next morning working again. So

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<v Speaker 1>it's a game changer in terms of the pace at

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<v Speaker 1>which you can improve the system. That's that's all the

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<v Speaker 1>vision of e learn and that's what the investment has

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<v Speaker 1>been made there. It's interesting you went straight to the hardware, yes,

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<v Speaker 1>component of this. You know a lot of Tesla fans

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<v Speaker 1>and investors and owners that I've spelling to, they want

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<v Speaker 1>to know about the latest beta version of full self

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<v Speaker 1>driving updates. They want to know when there will be

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<v Speaker 1>a wide public release. Yes, what do you expect on

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<v Speaker 1>that front? Yeah, it's a very good questions. So Tesla

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<v Speaker 1>has already made a lot of fo guys on the system.

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<v Speaker 1>I personally drive the latest version of every Day I

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<v Speaker 1>like it Alert. My assessment is that on the perception front,

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<v Speaker 1>Tesla has made achievements nobody and you need its ability

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<v Speaker 1>to read the world around it. The GAK can figure

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<v Speaker 1>out what's around it, like the traffic lights or the cars, obstacles, pedestrians, bikers.

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<v Speaker 1>I can't remember a single time my car would not

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<v Speaker 1>perceive something around it um and I think it has

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<v Speaker 1>been the focus of Tesla in the last in the

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<v Speaker 1>last few years, and everybody that Sweatyland calls like real

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<v Speaker 1>world AI interacting with the real world, and they've achieved

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<v Speaker 1>a lot. And what's very interesting that now now that

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<v Speaker 1>the car can deceive the world around it's the next

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<v Speaker 1>challenge to me is what we call representation, which is

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<v Speaker 1>making sense of what what you perceive, what you see

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<v Speaker 1>and figuring out, okay, is that's the stuff I need

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<v Speaker 1>to wait and wait for this car and then sneak

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<v Speaker 1>between these two cards and things like that, And that's

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<v Speaker 1>where I feel fs D. But as a user, I

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<v Speaker 1>feel there's still a lot of work. It's already very impressive,

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<v Speaker 1>but there's still a lot of work to do for

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<v Speaker 1>really the car to step to level three where I

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<v Speaker 1>can stop supervising it. And what I would expect today

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<v Speaker 1>is actually Testalla to show these challenges and to show

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<v Speaker 1>how difficult it is and what they're doing to to

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<v Speaker 1>address the challenges, because that's the way you're getting to

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<v Speaker 1>hire the best people on that point, what they're doing

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<v Speaker 1>to address it, you know, Elon Musk builds. This is

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<v Speaker 1>a recruitment event. I did a Twitter pole, you know,

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<v Speaker 1>and I asked Tesla owners, fans, investors, what are they

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<v Speaker 1>interested in? And of course you see on your screen

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<v Speaker 1>they're interested in lot mess the humanoid robot. I mean,

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<v Speaker 1>how interested you in the robot itself? You know, what

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<v Speaker 1>do you see? Do you see that as a product

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<v Speaker 1>or it's just an in house tool or a gimmick.

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<v Speaker 1>What's your read I'm going to be interested in exactly

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<v Speaker 1>in the same thing. I want the test let's him

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<v Speaker 1>to tell me how far have they're gone. And I

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<v Speaker 1>don't explain them to to have been to have gone

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<v Speaker 1>that far. It's quite a challenging project. But I want

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<v Speaker 1>them to articulate what the challenges are because that's the

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<v Speaker 1>best way they're going to be able to hire the

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<v Speaker 1>best people like you can work with it on most

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<v Speaker 1>you can have exposure exposure to the Tesla stock options,

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<v Speaker 1>and you're going to work on the most interesting challenges.

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<v Speaker 1>That's really I think what they're going to try to have.

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<v Speaker 1>So it might be a bit disappointing for like an

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<v Speaker 1>atlyst and investors because you're not going to see the

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<v Speaker 1>product getting into the market anytime soon. You're going to

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<v Speaker 1>have like very technical discussions about how do you achieve

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<v Speaker 1>you know, like the dexterity, how do you achieve perception

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<v Speaker 1>for a robot or like UM as I say, um

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<v Speaker 1>representation and things like that. You've said in your previous

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<v Speaker 1>research that Tesla is a matter of years ahead of

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<v Speaker 1>others when it comes to ours official intelligence, and I

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<v Speaker 1>said earlier you also cover in video and the video

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<v Speaker 1>not just on the semi co inductor side, but broadly

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<v Speaker 1>has done a lot of work in AI. Can you

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<v Speaker 1>compare and contrast those two, you know, where does Tesla

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<v Speaker 1>stand in your estimation and what has it achieved today

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<v Speaker 1>in the field of artificial intelligence. So in the field

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<v Speaker 1>of like real world artificial intelligence, I don't think anybody

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<v Speaker 1>stands close to test is ahead of everybody in terms

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<v Speaker 1>of developing systems, but remember the videos a platform players,

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<v Speaker 1>they develop a chip and like a Nichol system for

0:11:43.240 --> 0:11:45.079
<v Speaker 1>people can develop their own systems, so they are not

0:11:45.160 --> 0:11:48.000
<v Speaker 1>training the same game. And what's happening today is that

0:11:48.120 --> 0:11:51.079
<v Speaker 1>Tesla being so ahead of the curves, the same with

0:11:51.160 --> 0:11:53.160
<v Speaker 1>Goodglele is ahead of the curves. These two players, whatever

0:11:53.200 --> 0:11:56.120
<v Speaker 1>they done, they've developed their own chips and like the

0:11:56.200 --> 0:12:00.480
<v Speaker 1>tipu at Google and Dodgo for for training at at Tesla,

0:12:00.760 --> 0:12:02.719
<v Speaker 1>and they've done that for this reason that they need

0:12:02.800 --> 0:12:05.559
<v Speaker 1>to accelerate the pace at which they develop their systems.

0:12:06.880 --> 0:12:09.600
<v Speaker 1>So of course, like mainstreat, like common wisdom is that's

0:12:09.640 --> 0:12:12.840
<v Speaker 1>not good for video because like the dream of Tesla

0:12:12.920 --> 0:12:15.640
<v Speaker 1>is actually to turn off the Nvidia cluster and replace

0:12:15.679 --> 0:12:18.839
<v Speaker 1>it by Dodgo. But I have a different take. I

0:12:18.920 --> 0:12:22.000
<v Speaker 1>think it's very encouraging. It's very positive because at the

0:12:22.080 --> 0:12:23.640
<v Speaker 1>end of the day, what Tesla wants is to be

0:12:23.720 --> 0:12:27.520
<v Speaker 1>able to do over night what takes them several days today.

0:12:27.840 --> 0:12:30.199
<v Speaker 1>So they need more and more and more processing power

0:12:30.800 --> 0:12:33.280
<v Speaker 1>and as you can imagine, very few people will be

0:12:33.320 --> 0:12:35.599
<v Speaker 1>able to develop their own systems. So with Tesla and

0:12:35.679 --> 0:12:38.679
<v Speaker 1>Google do it, and that's the market for nvideo. So

0:12:38.920 --> 0:12:43.120
<v Speaker 1>I actually see Google developing the TPU Tesla developing Dodgo

0:12:43.600 --> 0:12:47.280
<v Speaker 1>as very positive leading indicator of where the market of

0:12:47.440 --> 0:12:50.920
<v Speaker 1>Nvidia is going. Everybody needs more processing power to develop

0:12:50.960 --> 0:12:52.719
<v Speaker 1>these models. Here. I wish we had more time, but

0:12:52.920 --> 0:12:56.360
<v Speaker 1>very quickly we might get the court deliveries that this weekend.

0:12:56.400 --> 0:12:59.640
<v Speaker 1>What are you expecting on that front? So I sense

0:13:00.000 --> 0:13:04.600
<v Speaker 1>the SLA has produced a lot of car Wow, that's high,

0:13:04.760 --> 0:13:07.920
<v Speaker 1>that's very high. I also suspect they've been struggling a

0:13:08.000 --> 0:13:10.640
<v Speaker 1>bit to deliver all this car. So I think delivery

0:13:10.800 --> 0:13:13.439
<v Speaker 1>is are more like a three sixty. And I think

0:13:13.480 --> 0:13:15.480
<v Speaker 1>you have about twenty thousand cars that might be on

0:13:15.600 --> 0:13:18.240
<v Speaker 1>boots between China and the rest of the world. All right,

0:13:18.520 --> 0:13:29.840
<v Speaker 1>Pierre Ferrague, New Street Research, thank you very much. Hollywood

0:13:29.880 --> 0:13:32.400
<v Speaker 1>super agent Ari Emmanuel is trying to pave the way

0:13:32.480 --> 0:13:35.839
<v Speaker 1>for a potential settlement between Elon Musk and Twitter. That's

0:13:35.840 --> 0:13:39.000
<v Speaker 1>according to sources, The news coming one day after Musk's

0:13:39.080 --> 0:13:44.000
<v Speaker 1>text between Twitter executives, close friends and potential investors came

0:13:44.080 --> 0:13:47.600
<v Speaker 1>to light. Bloombergs Max Chafkin joins us discussed, just when

0:13:47.679 --> 0:13:52.599
<v Speaker 1>you think that this saga cannot get any weirder, we

0:13:52.760 --> 0:13:56.000
<v Speaker 1>have a Hollywood super agent. You know, I'm not sure

0:13:56.080 --> 0:13:58.000
<v Speaker 1>how seriously we should take this. I think one of

0:13:58.040 --> 0:14:00.520
<v Speaker 1>the things we learned in these texts that dropped um

0:14:00.880 --> 0:14:02.240
<v Speaker 1>is that there are a lot of people out there

0:14:02.440 --> 0:14:06.520
<v Speaker 1>trying out trying to use their friendship with Elon Musk

0:14:06.600 --> 0:14:08.960
<v Speaker 1>and sort of wheedle their way into this deal. Um.

0:14:09.040 --> 0:14:11.160
<v Speaker 1>You know Ari Emmanuel of course, very very well known,

0:14:11.280 --> 0:14:13.880
<v Speaker 1>very famous dealmaker. This is potentially a huge deal. I

0:14:13.880 --> 0:14:16.160
<v Speaker 1>don't think it's hugely surprising that he might try to

0:14:16.400 --> 0:14:18.400
<v Speaker 1>put himself in the middle of this. I don't think

0:14:18.440 --> 0:14:20.160
<v Speaker 1>that's a reason to think it's going to go anywhere.

0:14:20.480 --> 0:14:23.040
<v Speaker 1>So let's get onto those texts. These are texts that

0:14:23.240 --> 0:14:26.160
<v Speaker 1>emerge from court filings relating to the upcoming trial, which

0:14:26.160 --> 0:14:29.200
<v Speaker 1>starts October seventeenth. They go all the way back to April,

0:14:29.680 --> 0:14:32.880
<v Speaker 1>which predates Musk's offer. I think we have a series

0:14:32.960 --> 0:14:36.720
<v Speaker 1>of texts starting with the current Twitter CEO, Paragagrool and

0:14:36.920 --> 0:14:39.520
<v Speaker 1>and basically what they seem to demonstrate is how that

0:14:39.640 --> 0:14:46.240
<v Speaker 1>relationship deteriorated quite quickly, and then Elon Musk basically said,

0:14:46.240 --> 0:14:47.960
<v Speaker 1>all right, I'm going to put a deal in too,

0:14:48.040 --> 0:14:50.680
<v Speaker 1>make take Twitter private. Yeah, I mean one thing you

0:14:50.760 --> 0:14:52.960
<v Speaker 1>learn when you read these texts that wow, like Elon

0:14:53.040 --> 0:14:55.080
<v Speaker 1>Musk is talking to a lot of people. He's having

0:14:55.160 --> 0:14:58.480
<v Speaker 1>direct relationships with many many people in in sort of

0:14:58.520 --> 0:15:02.480
<v Speaker 1>all different domains, politics, all these billionaires. Um. And he's

0:15:02.560 --> 0:15:05.560
<v Speaker 1>you know, just texting away with with Twitter ceo and

0:15:05.640 --> 0:15:08.320
<v Speaker 1>it's board um and it's kind of working things out

0:15:08.360 --> 0:15:10.920
<v Speaker 1>as he goes. And as you said with the with

0:15:11.080 --> 0:15:14.320
<v Speaker 1>the text with Twitter ceo, you see, you know what

0:15:14.520 --> 0:15:17.400
<v Speaker 1>seems like pretty diligent efforts to work with him. Uh

0:15:17.480 --> 0:15:20.880
<v Speaker 1>and then uh, the deterioration the relationship happened, you know,

0:15:20.960 --> 0:15:23.560
<v Speaker 1>almost immediately. We saw this play out, by the way,

0:15:23.960 --> 0:15:26.360
<v Speaker 1>on Twitter as well, when Elon Musk's famously you know,

0:15:26.440 --> 0:15:29.400
<v Speaker 1>tweeted a poop emoji at at the ceo of Twitter.

0:15:29.560 --> 0:15:32.400
<v Speaker 1>But but it's it's pretty interesting to see this, um,

0:15:32.600 --> 0:15:34.640
<v Speaker 1>you know, kind of in black and white. The other

0:15:34.720 --> 0:15:37.360
<v Speaker 1>thing we learned is some of the background I suppose

0:15:37.440 --> 0:15:40.600
<v Speaker 1>of how Elon Musk went out to raise tapits or

0:15:40.640 --> 0:15:43.640
<v Speaker 1>outside equity financing for this deal. And in exchange with

0:15:43.760 --> 0:15:46.680
<v Speaker 1>Larry Edison, he basically says, you want to get involved.

0:15:47.160 --> 0:15:50.000
<v Speaker 1>He says, sure, how much? Elon Musk says, oh, two billion.

0:15:50.120 --> 0:15:52.040
<v Speaker 1>Yeah you think they were, you know, talking about buying

0:15:52.040 --> 0:15:55.200
<v Speaker 1>a cup of coffee or something. Larrie Elson says, oh billion,

0:15:55.320 --> 0:15:58.160
<v Speaker 1>you know ish uh the I think what this shows

0:15:58.360 --> 0:16:01.200
<v Speaker 1>first of all, number one, this is a hot deal.

0:16:01.400 --> 0:16:04.760
<v Speaker 1>I mean, and we can debate whether the whether they're

0:16:04.760 --> 0:16:07.280
<v Speaker 1>fundamentals to back that up, or whether it's just Elon Musk.

0:16:07.360 --> 0:16:10.200
<v Speaker 1>But you look down the list and you see Ellison,

0:16:10.520 --> 0:16:13.640
<v Speaker 1>Mark and Reason, a bunch of lesser investors, all of

0:16:13.720 --> 0:16:16.520
<v Speaker 1>them basically willing to get in and on this without

0:16:16.800 --> 0:16:19.680
<v Speaker 1>much of a many questions asked, um which I think

0:16:20.000 --> 0:16:22.800
<v Speaker 1>you know that tells you something about how things turned out.

0:16:23.320 --> 0:16:26.600
<v Speaker 1>It also tells you just the gravity around Elon Musk h.

0:16:26.880 --> 0:16:29.440
<v Speaker 1>He is clearly at the top of the Silicon valley.

0:16:29.480 --> 0:16:33.080
<v Speaker 1>Totem Pole. You have Mark and Resent, very influential venture

0:16:33.160 --> 0:16:36.080
<v Speaker 1>capitalists basically putting up a quarter of a billion dollars,

0:16:36.280 --> 0:16:38.640
<v Speaker 1>no questions asked, and and and in seeing this over

0:16:38.680 --> 0:16:40.800
<v Speaker 1>and over again, including Larry Elson, another you know, rich

0:16:40.840 --> 0:16:43.600
<v Speaker 1>and powerful guy. So when the news broke that Aria

0:16:43.600 --> 0:16:47.080
<v Speaker 1>Emmanuel was, according to sources, brokering some kind of settlement,

0:16:47.120 --> 0:16:49.640
<v Speaker 1>the shares rose at one point to their highest level

0:16:49.720 --> 0:16:51.280
<v Speaker 1>since man I think we have a chart which shows

0:16:51.360 --> 0:16:52.960
<v Speaker 1>the spread. You know, I look at it from time

0:16:53.000 --> 0:16:55.960
<v Speaker 1>to time. It's kind of a soft indication of where

0:16:56.000 --> 0:16:59.680
<v Speaker 1>wool Street sees this deal's likelihood. Where do all these

0:16:59.720 --> 0:17:02.520
<v Speaker 1>tech leave us ahead of the trial? Is my question? Well,

0:17:02.640 --> 0:17:04.480
<v Speaker 1>I think one of the things people have observed this

0:17:04.560 --> 0:17:06.359
<v Speaker 1>already about Elon Musk, But you know, he has some

0:17:06.480 --> 0:17:08.879
<v Speaker 1>things in common with the former president. And one of

0:17:08.960 --> 0:17:11.800
<v Speaker 1>those things is he tends to tweet what he's actually feeling.

0:17:11.880 --> 0:17:14.000
<v Speaker 1>I mean, and and so if you look at these texts,

0:17:14.280 --> 0:17:16.280
<v Speaker 1>they are very interesting. They give you a sense of

0:17:16.320 --> 0:17:18.879
<v Speaker 1>what is it like to live as Elon Musk. You

0:17:19.000 --> 0:17:22.280
<v Speaker 1>have a lot of people hangers on, rich guys bothering

0:17:22.320 --> 0:17:25.080
<v Speaker 1>you all the time. But it doesn't actually change the

0:17:25.160 --> 0:17:27.960
<v Speaker 1>narrative all that much. Elon Musk has said many of

0:17:28.000 --> 0:17:30.000
<v Speaker 1>the things that we learned in these texts he's already

0:17:30.040 --> 0:17:32.960
<v Speaker 1>said publicly, including this thing about bots, where he was

0:17:33.040 --> 0:17:35.800
<v Speaker 1>already you know, talking about bots publicly before you have

0:17:36.080 --> 0:17:38.919
<v Speaker 1>a business week call him out. Recently, Twitter's woes come

0:17:38.960 --> 0:17:41.960
<v Speaker 1>from Jack Dorsey being too busy with bitcoin. Very quickly,

0:17:42.080 --> 0:17:45.040
<v Speaker 1>give me the overview of that. So Dorsey and and

0:17:45.200 --> 0:17:47.280
<v Speaker 1>this is one interesting thing that that came out in

0:17:47.320 --> 0:17:49.679
<v Speaker 1>these texts. You see Dorsey, who had just resigned from

0:17:49.720 --> 0:17:53.440
<v Speaker 1>Bitcoin from Twitter, probably to spend more time with his

0:17:53.520 --> 0:17:55.840
<v Speaker 1>Bitcoin u talking to Musk and saying, you know, we

0:17:55.920 --> 0:17:57.919
<v Speaker 1>really need to change things. We need to we need

0:17:57.960 --> 0:17:59.800
<v Speaker 1>to shake this up. Maybe it should be a protocol.

0:18:00.200 --> 0:18:04.000
<v Speaker 1>He's very much whispering and Musks here encouraging him to

0:18:04.040 --> 0:18:07.240
<v Speaker 1>pursue this deal and encouraging the idea that there needs

0:18:07.320 --> 0:18:10.240
<v Speaker 1>to be significant change, which is kind of strange because

0:18:10.320 --> 0:18:13.159
<v Speaker 1>he was the CEO until very recently. It's and it

0:18:13.280 --> 0:18:15.520
<v Speaker 1>kind of tells you again the gravity around Elon Musk

0:18:15.720 --> 0:18:18.359
<v Speaker 1>that Jack Dorsey thinks that this outsider can come in

0:18:18.600 --> 0:18:20.600
<v Speaker 1>and do something that he, as a founder and CEO

0:18:20.720 --> 0:18:23.199
<v Speaker 1>cannot do. All right, So much more to learn, Bloomberg's

0:18:23.200 --> 0:18:26.600
<v Speaker 1>Max Chafkin, Thank you much more ahead, stay with us.

0:18:26.880 --> 0:18:53.879
<v Speaker 1>This is Bloomberg. Google continues to collect ad revenue from

0:18:54.000 --> 0:18:58.800
<v Speaker 1>crisis pregnancy centers on abortion related search terms, while failing

0:18:59.119 --> 0:19:03.399
<v Speaker 1>to properly lay them as organizations that do not provide abortions.

0:19:03.480 --> 0:19:07.680
<v Speaker 1>Bloom The Quick takes Medicine Mills paints the picture is

0:19:07.800 --> 0:19:11.960
<v Speaker 1>Google keeping its promises on abortion information After Roe v

0:19:12.200 --> 0:19:16.680
<v Speaker 1>Wade was overturned. The information that's displayed on Google products

0:19:16.720 --> 0:19:24.159
<v Speaker 1>across maps, search and ads became really crucial information. Google

0:19:24.160 --> 0:19:27.399
<v Speaker 1>announced that it would adjust its search engine so users

0:19:27.480 --> 0:19:31.760
<v Speaker 1>could find verified abortion providers. But are Google's changes actually

0:19:31.880 --> 0:19:35.400
<v Speaker 1>working in practice. Let's say we're in Lincoln, Nebraska, where

0:19:35.400 --> 0:19:37.560
<v Speaker 1>it can be hard to get an abortion. If I

0:19:37.600 --> 0:19:41.359
<v Speaker 1>search abortion help, the contextual labels provided by Google seem

0:19:41.480 --> 0:19:44.480
<v Speaker 1>to work. You can see that the first search result

0:19:44.600 --> 0:19:48.119
<v Speaker 1>clearly says does not provide abortions. In this case, the

0:19:48.200 --> 0:19:51.000
<v Speaker 1>labels are working. All of these search results are for

0:19:51.160 --> 0:19:54.679
<v Speaker 1>crisis pregnancy centers. That's the type of non medical organization

0:19:54.800 --> 0:19:58.160
<v Speaker 1>that aims to persuade women to not get abortions. These

0:19:58.200 --> 0:20:01.240
<v Speaker 1>centers pay to appear in searchers for women horse seeking

0:20:01.280 --> 0:20:05.080
<v Speaker 1>abortion information. The problem is that this approach from Google

0:20:05.240 --> 0:20:09.160
<v Speaker 1>doesn't seem to work in searches for adjacent terms. In September,

0:20:09.280 --> 0:20:12.480
<v Speaker 1>when I searched for planned parenthood, for example, I found

0:20:12.560 --> 0:20:15.919
<v Speaker 1>that Google provided no labels on any of the ads

0:20:16.000 --> 0:20:18.760
<v Speaker 1>that came up in search. The top shown result was

0:20:18.840 --> 0:20:22.800
<v Speaker 1>for Nebraska Parents Center, which is a known crisis pregnancy center,

0:20:22.880 --> 0:20:25.919
<v Speaker 1>and there was no label. According to an investigation by

0:20:26.000 --> 0:20:29.680
<v Speaker 1>Bloomberg and the Center for Countering Digital Hate. Google also

0:20:29.800 --> 0:20:32.960
<v Speaker 1>failed to add these labels on other abortion related search

0:20:33.160 --> 0:20:37.600
<v Speaker 1>terms like pregnancy help, abortion pills, and n a F hotline.

0:20:37.800 --> 0:20:41.440
<v Speaker 1>What we're finding is that Google's tiny policy changes do

0:20:41.720 --> 0:20:44.880
<v Speaker 1>actually have a big impact on whether people are able

0:20:44.960 --> 0:20:49.360
<v Speaker 1>to find accurate information about abortions or if they're misled.

0:20:49.680 --> 0:20:52.680
<v Speaker 1>In a statement, Google said it has clear and longstanding

0:20:52.760 --> 0:20:56.280
<v Speaker 1>policies that govern abortion related ads on its platform, and

0:20:56.359 --> 0:20:59.480
<v Speaker 1>it applies these rules to all advertisers. It added that

0:20:59.560 --> 0:21:03.520
<v Speaker 1>the company is constantly reviewing and updating its pauses as needed.

0:21:07.680 --> 0:21:11.040
<v Speaker 1>That was Bloomberg Quick Takes. Madison Mills another story we

0:21:11.119 --> 0:21:13.520
<v Speaker 1>continue to watch. Our Trier has ended a deal that

0:21:13.640 --> 0:21:16.560
<v Speaker 1>barred it from competing with Jewel that opens the door

0:21:16.640 --> 0:21:18.960
<v Speaker 1>for the maker of Marlboro to buy an e cigarette

0:21:19.000 --> 0:21:23.280
<v Speaker 1>company or develop its own vaping products. In Trier announced

0:21:23.280 --> 0:21:25.760
<v Speaker 1>a twelve point eight billion investment in Jewel. As of

0:21:25.840 --> 0:21:29.480
<v Speaker 1>June that Steak was worth four and fifty million. And

0:21:29.600 --> 0:21:32.080
<v Speaker 1>just this hour we got the headline that Intel's Mobile

0:21:32.119 --> 0:21:34.360
<v Speaker 1>I has filed for an I p O. We knew

0:21:34.400 --> 0:21:37.320
<v Speaker 1>that Intel had planned the spinoff, and according to sources,

0:21:37.359 --> 0:21:39.919
<v Speaker 1>that would be a lower valuation of thirty billion dollars.

0:21:40.359 --> 0:21:42.960
<v Speaker 1>Very interesting time in considering the markets and a lack

0:21:43.000 --> 0:21:45.680
<v Speaker 1>of companies going public. The company seeking to list on

0:21:45.720 --> 0:21:56.639
<v Speaker 1>the NASDAG under the ticker m b l Y. This

0:21:56.760 --> 0:21:59.879
<v Speaker 1>is Bloomberg Technology, im Ed Ludlow in New York. Rising

0:22:00.000 --> 0:22:04.560
<v Speaker 1>interest rates and repeated market volatility has created a funding void,

0:22:04.680 --> 0:22:08.159
<v Speaker 1>leaving many cash hungry startups scrambling for backup plans. So

0:22:08.320 --> 0:22:10.680
<v Speaker 1>how long are the hard time is gonna last? Joining

0:22:10.760 --> 0:22:14.480
<v Speaker 1>us for more insight is Kathy Gau, partner at Sapphire Dventures,

0:22:14.520 --> 0:22:17.639
<v Speaker 1>whose investments include the likes of Fitbit and twenty three

0:22:17.720 --> 0:22:19.840
<v Speaker 1>and me. Kathy is good to catch up. I've been

0:22:19.920 --> 0:22:23.760
<v Speaker 1>asking venture capitalists all week, where is your head at

0:22:23.880 --> 0:22:27.560
<v Speaker 1>right now? Well ed? As we know, the markets have

0:22:27.680 --> 0:22:31.520
<v Speaker 1>been absolutely crazy, But I will also say there's a

0:22:31.640 --> 0:22:35.080
<v Speaker 1>dynamic in the venture capital industry right now where VC

0:22:35.359 --> 0:22:40.040
<v Speaker 1>firms are sitting on an unprecedented amount of dry powder,

0:22:40.280 --> 0:22:44.760
<v Speaker 1>about three billion right now, sitting on the sidelines waiting

0:22:44.840 --> 0:22:48.000
<v Speaker 1>to be invested into private companies. But as we sit

0:22:48.080 --> 0:22:50.520
<v Speaker 1>here on the last day of Q three and look

0:22:50.600 --> 0:22:54.119
<v Speaker 1>back at the quarter, deal activity is still well below

0:22:54.200 --> 0:22:57.440
<v Speaker 1>that of last year, but in the past month or

0:22:57.480 --> 0:23:00.720
<v Speaker 1>so I am starting to see certain pause of signals

0:23:01.200 --> 0:23:04.840
<v Speaker 1>that indicate a pickup from the summer slowdown. So, first

0:23:04.880 --> 0:23:08.040
<v Speaker 1>of all, more and more companies are starting to raise

0:23:08.680 --> 0:23:11.439
<v Speaker 1>growth stage rounds and that's what I focused on Series

0:23:11.520 --> 0:23:13.680
<v Speaker 1>B all the way to pre I p O or

0:23:13.720 --> 0:23:16.920
<v Speaker 1>they're at least more open to talking to investors about

0:23:16.920 --> 0:23:20.879
<v Speaker 1>a potential funding round. Number two blockbuster M and A.

0:23:21.280 --> 0:23:25.480
<v Speaker 1>A few weeks ago, Adobe acquired the popular design platform

0:23:25.600 --> 0:23:29.439
<v Speaker 1>Figma for twenty billion dollars and fun fact, it's actually

0:23:29.520 --> 0:23:33.600
<v Speaker 1>the third largest acquisition of a subscription software company. The

0:23:33.640 --> 0:23:37.480
<v Speaker 1>first one was Salesforce acquiring Slack for about twenty seven billion,

0:23:37.960 --> 0:23:41.680
<v Speaker 1>and the second one was Microsoft acquiring LinkedIn for twenty

0:23:41.760 --> 0:23:44.800
<v Speaker 1>six billion, So the Adobe Figma deal is definitely up

0:23:44.800 --> 0:23:47.560
<v Speaker 1>there in terms of large M and A. And lastly,

0:23:48.160 --> 0:23:52.399
<v Speaker 1>the I p O market is slowly showing signs of revival.

0:23:52.680 --> 0:23:55.840
<v Speaker 1>Earlier this year, Instacar did file to go public, but

0:23:55.960 --> 0:24:01.000
<v Speaker 1>more recently, the corporate trip management company trip Actions also filed.

0:24:01.160 --> 0:24:04.320
<v Speaker 1>So all in all, the world is crazy, the markets

0:24:04.359 --> 0:24:07.240
<v Speaker 1>are crazy, but as a venture capitalists, I am encouraged

0:24:07.320 --> 0:24:09.720
<v Speaker 1>by some of these signals. Let's let's talk a little

0:24:09.720 --> 0:24:11.639
<v Speaker 1>bit in a moment about the kind of I P

0:24:11.800 --> 0:24:14.680
<v Speaker 1>O winter that we've been seeing. As you look across

0:24:14.840 --> 0:24:18.639
<v Speaker 1>the startup curve, what are the headwinds right now to

0:24:18.800 --> 0:24:21.920
<v Speaker 1>both deal making and also I guess the temptation to

0:24:22.440 --> 0:24:27.040
<v Speaker 1>proceed with an I P A Absolutely well, you know,

0:24:27.600 --> 0:24:33.960
<v Speaker 1>founders and CEOs continue to postpone fundraising number one due

0:24:34.000 --> 0:24:37.560
<v Speaker 1>to the very large amount of money that they raised

0:24:37.640 --> 0:24:41.240
<v Speaker 1>last year. Many companies raise mega rounds last year at

0:24:41.480 --> 0:24:45.160
<v Speaker 1>very very high valuations, so they have plenty of runway

0:24:45.560 --> 0:24:49.439
<v Speaker 1>to continue to grow their business commensurate with the valuations

0:24:49.480 --> 0:24:52.359
<v Speaker 1>they last raise. And at the same time, of course,

0:24:52.440 --> 0:24:56.520
<v Speaker 1>there's global headwinds to a lot of businesses. Uncertainty has

0:24:56.640 --> 0:24:59.400
<v Speaker 1>caused a lot of fear in the market, and companies

0:24:59.440 --> 0:25:03.960
<v Speaker 1>as a result are cutting back on spend, including software spend. Well, Cathy,

0:25:04.040 --> 0:25:07.119
<v Speaker 1>I know you to be this kind of long term optimist,

0:25:07.280 --> 0:25:09.720
<v Speaker 1>right you look at the global economy, you look long term,

0:25:09.800 --> 0:25:13.000
<v Speaker 1>and you see opportunity. So what is the opportunity down

0:25:13.080 --> 0:25:17.080
<v Speaker 1>the line? You know? And I'm still very long term

0:25:17.200 --> 0:25:22.160
<v Speaker 1>bullish on enterprise fas I fundamentally believe that current macro

0:25:22.359 --> 0:25:27.320
<v Speaker 1>challenges can actually be a catalyst for increased innovation and

0:25:27.440 --> 0:25:32.120
<v Speaker 1>optimization at many companies and enterprises. Of course, buyers will

0:25:32.200 --> 0:25:35.280
<v Speaker 1>continue to be very careful with spend because burn is

0:25:35.440 --> 0:25:38.440
<v Speaker 1>very important, but they'll also be looking for the next

0:25:38.640 --> 0:25:41.760
<v Speaker 1>and best, greatest solution, right They're looking for the best solutions,

0:25:42.200 --> 0:25:45.400
<v Speaker 1>and I think it might trigger a soft software upgrade

0:25:45.440 --> 0:25:48.600
<v Speaker 1>buying cycle across many of the sectors that we cover.

0:25:49.359 --> 0:25:51.440
<v Speaker 1>And I think it's also important really to take the

0:25:51.560 --> 0:25:55.480
<v Speaker 1>long run view. Some of the best companies have started

0:25:55.920 --> 0:25:59.919
<v Speaker 1>and we're built and emerged from economic downturns, companies like Microsoft,

0:26:00.080 --> 0:26:03.560
<v Speaker 1>Apple and Adobe. So caffy real quick, we were just

0:26:03.640 --> 0:26:05.680
<v Speaker 1>looking at some of your portfolio companies. What is the

0:26:05.760 --> 0:26:08.400
<v Speaker 1>advice to found is right now in terms of cash

0:26:08.480 --> 0:26:13.280
<v Speaker 1>preservational how they use cash's talent key in this environment. Absolutely,

0:26:13.359 --> 0:26:15.960
<v Speaker 1>And you know the four main things I chat with

0:26:16.119 --> 0:26:20.359
<v Speaker 1>my CEOs about, uh every week is Number one cash, right,

0:26:20.480 --> 0:26:23.600
<v Speaker 1>just you've got to make sure you have enough runway

0:26:24.000 --> 0:26:26.879
<v Speaker 1>to hit the milestones you need if you need to

0:26:26.960 --> 0:26:30.200
<v Speaker 1>raise the subsequent funding round, So CEOs are all keeping

0:26:30.240 --> 0:26:34.840
<v Speaker 1>cash firm in mind. Number two is really customer attention, right,

0:26:34.960 --> 0:26:38.520
<v Speaker 1>make sure your current customers are happy by delivering a

0:26:38.640 --> 0:26:41.760
<v Speaker 1>great product and a great service and really listening to

0:26:41.880 --> 0:26:44.280
<v Speaker 1>your needs. This is not a time to be neglecting

0:26:44.320 --> 0:26:47.320
<v Speaker 1>your current customers. Um. And lastly, and this might be

0:26:47.400 --> 0:26:50.840
<v Speaker 1>the most important of all in my opinion, your employees right.

0:26:50.960 --> 0:26:54.400
<v Speaker 1>Continue to hire the best and develop the most talented

0:26:54.480 --> 0:26:57.720
<v Speaker 1>people you can find, all right. Thanks to Caffie Gaal

0:26:57.920 --> 0:27:02.720
<v Speaker 1>partner of course at Sapphire Avenches, now General Motors is

0:27:02.800 --> 0:27:06.800
<v Speaker 1>taking its next dive into electric vehicles. GM president Mark

0:27:06.920 --> 0:27:10.440
<v Speaker 1>Royce took my mate Bloombergs Matt Miller on an exclusive

0:27:10.520 --> 0:27:14.359
<v Speaker 1>first ride into the company's e V truck, the Silverado RST.

0:27:14.520 --> 0:27:17.879
<v Speaker 1>Miller joined him from the GM headquarters in Detroit, Michigan.

0:27:19.600 --> 0:27:23.520
<v Speaker 1>M What people need to do is get into it

0:27:23.920 --> 0:27:26.600
<v Speaker 1>and see what an electric truck really can do. And

0:27:26.800 --> 0:27:29.480
<v Speaker 1>this is a dedicated platform with Ultium. You know, we're

0:27:29.520 --> 0:27:32.640
<v Speaker 1>just bringing our cell plant online right now in Ohio

0:27:33.119 --> 0:27:35.359
<v Speaker 1>and the second one will be in spring Hill. But

0:27:35.520 --> 0:27:37.680
<v Speaker 1>the center of gravity is different. You know, We've got

0:27:37.960 --> 0:27:40.080
<v Speaker 1>this will beyond sale here um in the spring with

0:27:40.160 --> 0:27:42.280
<v Speaker 1>our work truck, which is uh, you know what you're

0:27:42.280 --> 0:27:45.720
<v Speaker 1>probably in today, and so you know, for under forty

0:27:45.800 --> 0:27:48.440
<v Speaker 1>thousand bucks and that's a that's a heck of a deal.

0:27:49.080 --> 0:27:51.120
<v Speaker 1>And uh, you know, we're gonna start off with about

0:27:51.160 --> 0:27:53.399
<v Speaker 1>ten thousand pounds of towing with it. We'll follow it

0:27:53.520 --> 0:27:57.320
<v Speaker 1>up with twenty pounds and it's just a very capable truck.

0:27:57.680 --> 0:27:59.560
<v Speaker 1>What's demand like right now, I mean, not just for

0:27:59.680 --> 0:28:02.840
<v Speaker 1>the business in general, the American consumer. What's demanded? Well,

0:28:02.920 --> 0:28:06.360
<v Speaker 1>we haven't seen a lot of demand UM fall off

0:28:06.440 --> 0:28:08.600
<v Speaker 1>even with some of the you know, sort of the

0:28:08.720 --> 0:28:11.560
<v Speaker 1>ups and downs of the economic situation that or we're

0:28:11.600 --> 0:28:14.960
<v Speaker 1>seeing in in the United States. But the demand is there.

0:28:15.040 --> 0:28:17.480
<v Speaker 1>I mean we we are. We are selling every single

0:28:17.600 --> 0:28:19.920
<v Speaker 1>thing that we make, and we're selling it deep into

0:28:19.960 --> 0:28:22.600
<v Speaker 1>the pipeline. So our dealers have really done a good

0:28:22.720 --> 0:28:25.800
<v Speaker 1>job of being able to UM show people what the

0:28:25.880 --> 0:28:29.000
<v Speaker 1>truck or whatever the product is UM that they want,

0:28:29.160 --> 0:28:31.160
<v Speaker 1>and then when it's built, and then when it's coming

0:28:31.600 --> 0:28:34.160
<v Speaker 1>and that'll just get get better as the chip UM,

0:28:34.560 --> 0:28:37.960
<v Speaker 1>the chip piece of this becomes begins to level off

0:28:38.000 --> 0:28:40.120
<v Speaker 1>and be more consistent. Are you seeing any signs of

0:28:40.200 --> 0:28:41.479
<v Speaker 1>that light at the end of the tunnel in terms

0:28:41.520 --> 0:28:43.640
<v Speaker 1>of chips? I think so. I think we're seeing you know,

0:28:43.800 --> 0:28:46.360
<v Speaker 1>fourth quarter here UM A little bit of leveling off,

0:28:46.800 --> 0:28:48.880
<v Speaker 1>it's nowhere near what the demand is. The demand is

0:28:48.920 --> 0:28:51.920
<v Speaker 1>still going to outstrip what we can actually supply because

0:28:52.520 --> 0:28:55.160
<v Speaker 1>the inventory levels are still extremely low. So it takes

0:28:55.200 --> 0:28:57.160
<v Speaker 1>a while for us to get the inventory back. But

0:28:57.400 --> 0:29:01.959
<v Speaker 1>that means no incentives obviously. Um. In fact, people are

0:29:01.960 --> 0:29:03.959
<v Speaker 1>paying more than M S r P in a lot

0:29:04.000 --> 0:29:07.200
<v Speaker 1>of situations. How long can that last? I won't last forever.

0:29:07.520 --> 0:29:10.320
<v Speaker 1>There's no way that can last forever. But you know, again,

0:29:10.600 --> 0:29:14.880
<v Speaker 1>until we begin to fill the pipeline again with some inventory, UM,

0:29:15.040 --> 0:29:17.040
<v Speaker 1>that's going to be the case. I think, what about

0:29:17.040 --> 0:29:19.440
<v Speaker 1>the electric pickup I'm not the pickup truck, I mean

0:29:19.480 --> 0:29:22.320
<v Speaker 1>to pick up in terms of consumers buying electric cars.

0:29:22.360 --> 0:29:26.280
<v Speaker 1>I drove the Bolt out here and it was surprisingly

0:29:26.440 --> 0:29:29.680
<v Speaker 1>luxurious for a car that you basically get into for

0:29:29.840 --> 0:29:32.760
<v Speaker 1>thirty five thousand after rebates, right, and it's even lower

0:29:32.800 --> 0:29:35.120
<v Speaker 1>than that now. We dropped the price on it here

0:29:35.360 --> 0:29:37.760
<v Speaker 1>a few months ago, and uh, you know, we're seeing

0:29:37.840 --> 0:29:40.320
<v Speaker 1>I think you'll see in our quarter quarterly results that

0:29:40.760 --> 0:29:43.200
<v Speaker 1>people are really interested in the Bolt as one of

0:29:43.280 --> 0:29:46.239
<v Speaker 1>the probably the lowest cost ev that you can get

0:29:46.320 --> 0:29:49.160
<v Speaker 1>into in the market. And you know, strategically that's great

0:29:49.200 --> 0:29:51.680
<v Speaker 1>for us because our dealers begin to learn how to

0:29:51.760 --> 0:29:54.360
<v Speaker 1>sell e V sum into the into the dealer footprint

0:29:54.600 --> 0:29:57.080
<v Speaker 1>with our customers, and then our customers are looking for

0:29:57.160 --> 0:30:00.280
<v Speaker 1>the cars so um, you know, and their supply um,

0:30:00.680 --> 0:30:03.280
<v Speaker 1>and you know, we we're matching that the best we

0:30:03.360 --> 0:30:06.040
<v Speaker 1>can right now. So it's a very very compelling vehicle,

0:30:06.600 --> 0:30:09.000
<v Speaker 1>always has been, particularly with super cruise on the e

0:30:09.080 --> 0:30:11.000
<v Speaker 1>u V, and we're seeing a lot of demand for that.

0:30:11.240 --> 0:30:14.360
<v Speaker 1>What about how does the business look to you as

0:30:14.440 --> 0:30:18.480
<v Speaker 1>we see rising rates, as we hear concerns about a recession,

0:30:19.040 --> 0:30:21.680
<v Speaker 1>how do you plan into that? We plan into it

0:30:21.800 --> 0:30:25.120
<v Speaker 1>with our cost structure and so we um, you know,

0:30:25.320 --> 0:30:27.120
<v Speaker 1>four or five years ago, we really went at our

0:30:27.160 --> 0:30:30.680
<v Speaker 1>cost structure and you know, we're in good shape, but

0:30:30.920 --> 0:30:33.320
<v Speaker 1>we can always be better, and so we'll continually take

0:30:33.400 --> 0:30:36.680
<v Speaker 1>costs unnecessary, you know, uh, cost out of the business

0:30:36.720 --> 0:30:40.080
<v Speaker 1>from an efficiency standpoint, and next year will be better

0:30:40.160 --> 0:30:41.960
<v Speaker 1>than this year. And that's the way we're gonna work

0:30:41.960 --> 0:30:44.960
<v Speaker 1>at That was GM president Mark Royce with bloom Bags

0:30:45.120 --> 0:30:59.520
<v Speaker 1>Matt Miller earlier today in the latest episode of Studio

0:30:59.640 --> 0:31:04.240
<v Speaker 1>One Point, former federal prosecutor turned crypto venture capitalist Katie

0:31:04.280 --> 0:31:07.960
<v Speaker 1>Horn shares her outlook on cryptocurrency markets. Horn sits down

0:31:08.200 --> 0:31:11.480
<v Speaker 1>with Bloomberg Technologies Emily Chang to discuss why she left

0:31:11.760 --> 0:31:14.720
<v Speaker 1>story venture capital firm Andreas and Horro Wrists to launch

0:31:14.800 --> 0:31:17.480
<v Speaker 1>her own firm, Horn Ventures, and just how hard it

0:31:17.680 --> 0:31:21.120
<v Speaker 1>was to do so. Take a listen. What I set

0:31:21.160 --> 0:31:24.800
<v Speaker 1>out to do was to continue to invest in this

0:31:24.920 --> 0:31:27.760
<v Speaker 1>ecosystem that I think is so broad. That decision was

0:31:27.880 --> 0:31:30.880
<v Speaker 1>very purposeful and the timing was very purposeful. We have

0:31:30.960 --> 0:31:33.920
<v Speaker 1>an early stage fund that does seed stage, Series A,

0:31:34.200 --> 0:31:36.320
<v Speaker 1>even Series B, and then we have what we call

0:31:36.360 --> 0:31:38.960
<v Speaker 1>an acceleration fund, which is it's not a growth fund,

0:31:39.000 --> 0:31:40.720
<v Speaker 1>it's a crypto growth fund, and I think those are

0:31:40.800 --> 0:31:44.400
<v Speaker 1>different things. But later stage it might be crypto publics.

0:31:44.920 --> 0:31:48.560
<v Speaker 1>Um certain kinds of public tokens were set up to

0:31:49.040 --> 0:31:52.200
<v Speaker 1>hold tokens and participate in the token ecosystem or later

0:31:52.320 --> 0:31:54.960
<v Speaker 1>stage companies. I mean, you know there are now several

0:31:55.080 --> 0:31:59.480
<v Speaker 1>crypto many crypto unicorns. The space has become really competitive.

0:31:59.560 --> 0:32:02.360
<v Speaker 1>Even though you say, um, you know crypto has had

0:32:02.440 --> 0:32:05.240
<v Speaker 1>its kind of ups and downs. The thing is a

0:32:05.360 --> 0:32:07.400
<v Speaker 1>lot of people in some of those last cycles have

0:32:07.760 --> 0:32:10.440
<v Speaker 1>seen the kind of venture style returns that can be

0:32:10.560 --> 0:32:12.880
<v Speaker 1>had in crypto and so you've had a lot of

0:32:13.000 --> 0:32:16.400
<v Speaker 1>new funds enter the space and that's driven up competition.

0:32:16.680 --> 0:32:20.600
<v Speaker 1>So what differentiates on ventures that and from you know,

0:32:20.680 --> 0:32:22.760
<v Speaker 1>all of these other crypto funds or even the more

0:32:22.800 --> 0:32:25.600
<v Speaker 1>traditional venture capitalists like Entries and Herowitz or Sekoia they

0:32:25.640 --> 0:32:28.239
<v Speaker 1>also have crypto fun sure well, I think a lot

0:32:28.320 --> 0:32:31.760
<v Speaker 1>of traditional venture capital funds now have crypto funds. It

0:32:31.880 --> 0:32:34.160
<v Speaker 1>used to just be like a regulatory designation. I was like,

0:32:34.280 --> 0:32:37.680
<v Speaker 1>are you in r i A, which is Registered investment Advisor?

0:32:38.040 --> 0:32:41.120
<v Speaker 1>I would say for crypto founders today, um, it's not

0:32:41.280 --> 0:32:43.760
<v Speaker 1>enough to just be an r I A. Right they frankly,

0:32:43.800 --> 0:32:45.240
<v Speaker 1>I don't even know if a lot of them care

0:32:45.320 --> 0:32:49.000
<v Speaker 1>that's a regulatory designation. What crypto founders today want to

0:32:49.040 --> 0:32:51.360
<v Speaker 1>know is do you live in breath crypto? Do you

0:32:51.440 --> 0:32:54.040
<v Speaker 1>inhale the discords? Are you part of the community, do

0:32:54.120 --> 0:32:56.760
<v Speaker 1>you participate in governance? Are you going to be um

0:32:56.840 --> 0:33:00.720
<v Speaker 1>staking these kind of crypto verbs um out there? And

0:33:00.920 --> 0:33:03.760
<v Speaker 1>if you're not really in this space full time, I

0:33:03.800 --> 0:33:07.760
<v Speaker 1>think it's very hard to run a successful crypto fund.

0:33:08.040 --> 0:33:10.440
<v Speaker 1>We don't have a hedge fund component, so we're not

0:33:10.680 --> 0:33:13.480
<v Speaker 1>sitting here buying and trading and selling. UM. That's a

0:33:13.520 --> 0:33:16.719
<v Speaker 1>hedge fund structure, and there are crypto hedge funds. Um,

0:33:16.760 --> 0:33:19.240
<v Speaker 1>we're not one. We're making seven to ten ure bets.

0:33:19.720 --> 0:33:21.400
<v Speaker 1>Just how hard is it to launch a crypto fund

0:33:21.600 --> 0:33:23.920
<v Speaker 1>from scratch? You know it's hard, but it's not impossible.

0:33:23.960 --> 0:33:25.600
<v Speaker 1>And we don't have a crystal ball. I don't know.

0:33:26.000 --> 0:33:28.040
<v Speaker 1>I can't predict cycles, but I knew that we were

0:33:28.120 --> 0:33:30.560
<v Speaker 1>in a cycle where you saw so much forever an

0:33:30.600 --> 0:33:33.120
<v Speaker 1>excitement around the space. And I already talked about what

0:33:33.240 --> 0:33:35.600
<v Speaker 1>makes us different, But I think one thing also is

0:33:35.880 --> 0:33:38.120
<v Speaker 1>we are a nimble strike force. We don't fish in

0:33:38.160 --> 0:33:40.480
<v Speaker 1>the same pond we have the crypto natives. We have

0:33:40.640 --> 0:33:44.200
<v Speaker 1>a fish and execution. We have operators, seasoned operators who

0:33:44.280 --> 0:33:46.280
<v Speaker 1>really know how to stick the landing. And I think

0:33:46.320 --> 0:33:48.640
<v Speaker 1>that's reflected on our culture. I would say the only

0:33:48.720 --> 0:33:50.880
<v Speaker 1>thing that's changed in our strategy as a result of

0:33:50.960 --> 0:33:54.120
<v Speaker 1>the market correction is really more of a focus on

0:33:54.320 --> 0:33:57.800
<v Speaker 1>early stage. But we still have our late stage fund.

0:33:58.360 --> 0:34:01.280
<v Speaker 1>And when we see valuations, which I think will still

0:34:01.320 --> 0:34:05.120
<v Speaker 1>see correct um spoiler, I think we'll continue to see

0:34:05.160 --> 0:34:08.920
<v Speaker 1>some corrections and UM, so we might deploy our later

0:34:09.000 --> 0:34:11.040
<v Speaker 1>stage fund a little bit more slowly. It might not

0:34:11.200 --> 0:34:14.719
<v Speaker 1>be on an even cadence. And that's okay. Long term,

0:34:14.800 --> 0:34:17.640
<v Speaker 1>our strategy hasn't changed. Long term, we're committed to this space.

0:34:17.719 --> 0:34:19.520
<v Speaker 1>How much do you think valuations are going to correct?

0:34:19.880 --> 0:34:21.560
<v Speaker 1>You know, it's just I can't give you a one

0:34:21.600 --> 0:34:23.800
<v Speaker 1>size fits all answer because crypto is not a monolith.

0:34:24.040 --> 0:34:26.960
<v Speaker 1>You have some crypto companies that really follow more of

0:34:27.000 --> 0:34:30.239
<v Speaker 1>an enterprise sas business model. You have others that are

0:34:30.360 --> 0:34:33.719
<v Speaker 1>layer one protocols UM. You have still others that are

0:34:33.719 --> 0:34:36.080
<v Speaker 1>consumer facing applications. And I think one of the things

0:34:36.160 --> 0:34:39.040
<v Speaker 1>we're seeing right now is the infrastructure layer, and that's

0:34:39.040 --> 0:34:40.759
<v Speaker 1>where we're spending a lot of our time, by the way,

0:34:40.800 --> 0:34:43.160
<v Speaker 1>and we think more and more use cases will come

0:34:43.200 --> 0:34:46.279
<v Speaker 1>about when the infrastructure layers in place. UM So, my

0:34:46.480 --> 0:34:50.080
<v Speaker 1>own view is we are not rushing to deploy. We're

0:34:50.080 --> 0:34:53.759
<v Speaker 1>certainly not getting caught up. Do you get try not

0:34:53.880 --> 0:34:55.920
<v Speaker 1>to avoid that, you know, Look, I think it's very

0:34:56.040 --> 0:34:59.920
<v Speaker 1>easy to get into that mindset, right. It's because it's

0:35:00.120 --> 0:35:04.160
<v Speaker 1>competitive sport. It's a competitive space, and I think I'd

0:35:04.200 --> 0:35:06.520
<v Speaker 1>be lying if I said that that doesn't influence anyone.

0:35:06.640 --> 0:35:08.239
<v Speaker 1>I try to what I do and I think I

0:35:08.320 --> 0:35:10.680
<v Speaker 1>do differently, is I try to take stock of that. Oh,

0:35:11.200 --> 0:35:14.759
<v Speaker 1>that's the foe mo mentality kicking in. That's bad again.

0:35:14.800 --> 0:35:16.799
<v Speaker 1>You don't want to over correct though. What we look

0:35:16.880 --> 0:35:21.040
<v Speaker 1>for is we look for amazing founders. It doesn't matter

0:35:21.080 --> 0:35:23.480
<v Speaker 1>if I think valuations will correct. If there are amazing founders,

0:35:23.760 --> 0:35:26.600
<v Speaker 1>there's a huge tam We also look for what's your

0:35:26.719 --> 0:35:29.440
<v Speaker 1>regulatory plan if you're launching a token, what's your plan

0:35:29.520 --> 0:35:31.920
<v Speaker 1>to comply with the law, what's your plan for security.

0:35:32.239 --> 0:35:33.960
<v Speaker 1>By the way, we've seen a lot of hacks in

0:35:34.040 --> 0:35:36.360
<v Speaker 1>the space. We want to really dive in there and

0:35:36.480 --> 0:35:40.160
<v Speaker 1>make sure that the founders have been thoughtful. That was

0:35:40.200 --> 0:35:43.919
<v Speaker 1>Horn Benches founder and CEO Katie Horn with Bloomberg Technologies

0:35:44.080 --> 0:35:46.480
<v Speaker 1>Emily Chang. You can check out more of that conversation

0:35:46.600 --> 0:35:51.040
<v Speaker 1>tonight at seven thirty pm Eastern four pm Pacific here

0:35:51.239 --> 0:35:54.880
<v Speaker 1>on Bloomberg Television. Coming up, one company focusing on hiring

0:35:55.000 --> 0:35:58.480
<v Speaker 1>hourly workers get sixty million dollars for its series B.

0:35:58.640 --> 0:36:02.000
<v Speaker 1>I'll chat with the CEO of Workstream about the digitization

0:36:02.080 --> 0:36:05.360
<v Speaker 1>of recruitment and state of the labor market. This is

0:36:05.440 --> 0:36:42.839
<v Speaker 1>Bloomberg Workstream, a texting based hiring platform working with big

0:36:42.880 --> 0:36:46.680
<v Speaker 1>brands like McDonald's and Marriott. Just raised sixty million dollars

0:36:46.800 --> 0:36:49.480
<v Speaker 1>in fresh capital to help it expand to even more

0:36:49.600 --> 0:36:52.880
<v Speaker 1>industries that are employing hourly workers. Let's get right to

0:36:52.960 --> 0:36:57.600
<v Speaker 1>Workstream co founder and CEO Desmond Limn. Desmond, how does

0:36:57.680 --> 0:37:03.840
<v Speaker 1>Workstream work? Yeah, So we are this texting base hiring

0:37:03.960 --> 0:37:07.560
<v Speaker 1>software that helps you do actually saw screen actually onboard

0:37:07.560 --> 0:37:12.080
<v Speaker 1>hourly workers faster. In the world of of trying to

0:37:12.160 --> 0:37:15.640
<v Speaker 1>work with with with with this hourly folks, there are

0:37:15.760 --> 0:37:17.560
<v Speaker 1>much more on the phone, they are much less tech

0:37:17.640 --> 0:37:20.239
<v Speaker 1>like Salvy. So we actually built a software that's really

0:37:20.360 --> 0:37:22.279
<v Speaker 1>built for them to be able to help them be

0:37:22.400 --> 0:37:26.040
<v Speaker 1>able to hire onboard faster. So it's to me about

0:37:26.080 --> 0:37:30.480
<v Speaker 1>the kind of circumstances that the workers themselves, who who

0:37:31.080 --> 0:37:34.200
<v Speaker 1>you hope to hire through your platform operating? What kind

0:37:34.280 --> 0:37:38.399
<v Speaker 1>of workers are these and in which industries? Yeah? Yeah,

0:37:38.480 --> 0:37:41.359
<v Speaker 1>I mean we all work across a really broad, broad

0:37:41.520 --> 0:37:43.880
<v Speaker 1>broad broad spens of the sacnis as. So now we

0:37:43.920 --> 0:37:49.240
<v Speaker 1>all work with more than four thousand customers from Burger, King, Dairy, Queen,

0:37:49.800 --> 0:37:52.680
<v Speaker 1>Merit and more. And I always say that as as

0:37:52.719 --> 0:37:55.239
<v Speaker 1>of now, our main focus has been in this restaurants,

0:37:55.280 --> 0:37:59.759
<v Speaker 1>but we have grewed very quickly into retail, healthcare order

0:38:00.200 --> 0:38:02.920
<v Speaker 1>and like you know, much more alvious. Yeah, there's a

0:38:03.040 --> 0:38:05.440
<v Speaker 1>very big difference in terms of folks who work in

0:38:05.480 --> 0:38:08.759
<v Speaker 1>there's hourly death less world and those who work in

0:38:08.880 --> 0:38:12.439
<v Speaker 1>tech office worker. I was saying, there's actually hourly world.

0:38:12.520 --> 0:38:16.200
<v Speaker 1>People are not as tech savvy. There's very high like turnover,

0:38:16.800 --> 0:38:19.279
<v Speaker 1>very high churned. Um, so there is a need to

0:38:19.360 --> 0:38:23.360
<v Speaker 1>actually tell the alwhere there's really built for them. I

0:38:23.440 --> 0:38:26.560
<v Speaker 1>think back to the August jobs data. You know, there's

0:38:26.600 --> 0:38:29.480
<v Speaker 1>there's tens of millions of people in this economy who

0:38:29.520 --> 0:38:32.279
<v Speaker 1>are working part time but by choice, and of course

0:38:32.320 --> 0:38:37.160
<v Speaker 1>there are many people on the sidelines who are trying

0:38:37.280 --> 0:38:39.600
<v Speaker 1>to find some part time work. You must have a

0:38:39.719 --> 0:38:43.240
<v Speaker 1>very interesting lens into the state of the jobs market.

0:38:43.719 --> 0:38:45.880
<v Speaker 1>What can you tell me about what your customers and

0:38:46.000 --> 0:38:48.400
<v Speaker 1>clients are looking for. Are they able to get the

0:38:48.480 --> 0:38:51.880
<v Speaker 1>workers that they need? Yeah, I would say that it

0:38:52.040 --> 0:38:54.920
<v Speaker 1>is still very very tough to actually find talent and

0:38:55.000 --> 0:38:59.359
<v Speaker 1>difine people. Staffing is to the top challenge for many

0:38:59.440 --> 0:39:04.680
<v Speaker 1>of this businesses, from restaurants to retail, hotels and and more.

0:39:04.760 --> 0:39:06.600
<v Speaker 1>But I think that's the very first trend that we see.

0:39:07.160 --> 0:39:09.800
<v Speaker 1>Second trend that we see there many of this business

0:39:09.840 --> 0:39:12.800
<v Speaker 1>they are much more open to actually embrace and to

0:39:13.000 --> 0:39:15.960
<v Speaker 1>try it out software and tech. We have seen a

0:39:16.120 --> 0:39:19.200
<v Speaker 1>very strong growth, almost like a tanext growth in terms

0:39:19.239 --> 0:39:23.160
<v Speaker 1>of how the business owners and and really ops leaders

0:39:23.200 --> 0:39:26.000
<v Speaker 1>are much more open to actually use software. So I

0:39:26.080 --> 0:39:28.279
<v Speaker 1>think that that that that's been very good. I think

0:39:28.320 --> 0:39:30.320
<v Speaker 1>the very the trend that we see more it's like

0:39:30.560 --> 0:39:32.800
<v Speaker 1>more and more folks are trying to focus on this

0:39:32.920 --> 0:39:35.960
<v Speaker 1>actually hourly worker. I would say that in the past

0:39:36.040 --> 0:39:39.120
<v Speaker 1>few years that this hasn't been much focused on this

0:39:39.239 --> 0:39:42.319
<v Speaker 1>audi worker, which really powers the world. Right, there's more

0:39:42.360 --> 0:39:45.840
<v Speaker 1>than two point seven billion business workers in the world.

0:39:46.040 --> 0:39:48.839
<v Speaker 1>There's more than eighty million auti workers in the US.

0:39:48.920 --> 0:39:51.920
<v Speaker 1>It's a very big market, but it hasn't been enough

0:39:52.040 --> 0:39:55.160
<v Speaker 1>good software and tech built for them. So I'll say

0:39:55.160 --> 0:39:58.000
<v Speaker 1>that there's more and more needs to look towards them. Now.

0:39:58.920 --> 0:40:02.000
<v Speaker 1>So you've got sixty million dollars in the bank. What

0:40:02.120 --> 0:40:04.640
<v Speaker 1>do you need to do with that cash to expand

0:40:04.719 --> 0:40:06.720
<v Speaker 1>your offering? What are you going to do to develop

0:40:07.160 --> 0:40:12.080
<v Speaker 1>your tech? Yeah? Yeah, we are very thankful and very

0:40:12.160 --> 0:40:14.239
<v Speaker 1>humble that we raised this right. I think this is

0:40:14.280 --> 0:40:17.920
<v Speaker 1>really with this funding it grows out, is be the

0:40:18.000 --> 0:40:22.960
<v Speaker 1>actually overall million dollars. And we have triating goals for this.

0:40:23.400 --> 0:40:26.360
<v Speaker 1>First's really want to expand from our main focus of

0:40:26.480 --> 0:40:33.080
<v Speaker 1>this restaurant into new vote goals, into retail, healthcare, warehouse

0:40:33.200 --> 0:40:35.440
<v Speaker 1>and more, and so now beyond some of the brands

0:40:35.480 --> 0:40:38.719
<v Speaker 1>that share we all work with like merit ups and

0:40:38.880 --> 0:40:41.160
<v Speaker 1>many many more brands. So that's the very first goal

0:40:41.480 --> 0:40:44.360
<v Speaker 1>part of this funding. Second goal that we have is

0:40:44.400 --> 0:40:51.000
<v Speaker 1>really really go ahead. Yeah, I think the the goal

0:40:51.080 --> 0:40:53.680
<v Speaker 1>next we have is really to build new products. Our

0:40:53.760 --> 0:40:56.640
<v Speaker 1>first product is hiring. Our second product is this on

0:40:57.000 --> 0:41:01.120
<v Speaker 1>on boarding helping you to actually like really really help

0:41:01.200 --> 0:41:04.759
<v Speaker 1>we do smooth yarders people work faster. So I would

0:41:04.760 --> 0:41:07.360
<v Speaker 1>say the next goal is really you're built new products.

0:41:07.440 --> 0:41:10.520
<v Speaker 1>The final goal is really leading into our company mission,

0:41:10.880 --> 0:41:13.800
<v Speaker 1>which is really to serve this to really serve this

0:41:14.280 --> 0:41:17.359
<v Speaker 1>doth Las Ali worker, to build better software and tag

0:41:17.719 --> 0:41:21.200
<v Speaker 1>for them. Give me very quickly, desn't really have that

0:41:21.360 --> 0:41:23.919
<v Speaker 1>thirty seconds? A sense of how many workers are using

0:41:23.960 --> 0:41:28.280
<v Speaker 1>your platform? Yeah, we have now more than four thousand

0:41:28.760 --> 0:41:34.160
<v Speaker 1>um customers across more than stars. We have now actually

0:41:34.200 --> 0:41:37.720
<v Speaker 1>helped to all domit more than ten ten ten million

0:41:37.800 --> 0:41:41.760
<v Speaker 1>hourly folks with been through our our this software alright.

0:41:41.840 --> 0:41:45.200
<v Speaker 1>Workstream co founder and CEO Desmond Lynn, thank you very much.

0:41:45.239 --> 0:41:47.680
<v Speaker 1>A good lens on the labor market. That does it

0:41:48.000 --> 0:41:50.920
<v Speaker 1>for this edition of Bloomberg Technology. Have a great weekend,

0:41:51.040 --> 0:41:53.880
<v Speaker 1>and don't forget to check out our podcast. You can

0:41:53.960 --> 0:41:57.560
<v Speaker 1>find it on the terminal as well as online on Apple, Spotify,

0:41:57.960 --> 0:42:00.640
<v Speaker 1>and of course, as always on I Hot Radio. We

0:42:00.760 --> 0:42:02.880
<v Speaker 1>made it, guys. The end of a tough week, the

0:42:03.120 --> 0:42:05.319
<v Speaker 1>end of a tough month, the end of a tough

0:42:05.440 --> 0:42:10.040
<v Speaker 1>quarter with volatility and financial markets, venture capitalists sitting on

0:42:10.160 --> 0:42:12.080
<v Speaker 1>the sidelines for now. But we'll have a whole lot

0:42:12.120 --> 0:42:15.239
<v Speaker 1>more next week. From San Francisco and New York. This

0:42:16.160 --> 0:42:30.759
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