WEBVTT - Nvidia's Rise to $3T and SpaceX's Fourth Major Test Flight

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news from Marhart where Innovation,

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<v Speaker 1>money and power Collie in Silicon Valley, NBN.

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<v Speaker 2>This is Bloomberg Technology with Caroline Hyde and Ed Love Love.

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<v Speaker 3>I'm Karine Hyde a Bloomberg's World headquarters in New York

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<v Speaker 3>and I met Ludlow in San Francisco.

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<v Speaker 4>This is Bloomberg Technology.

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<v Speaker 3>Coming up in video continues its meteoric rise. It touches

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<v Speaker 3>three trillion dollars in market cap for coverage ahead.

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<v Speaker 2>Plus SpaceX's Starship reaches new milestones in its fourth major

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<v Speaker 2>test flight.

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<v Speaker 4>We bring you the details.

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<v Speaker 3>And we'll discuss the latest in the world of crypto.

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<v Speaker 3>Is bitcoin still hovers near record High's first, let's check

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<v Speaker 3>in on the broader markets. Maybe just a little of

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<v Speaker 3>profit taking today. Maybe we see the ECB over in

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<v Speaker 3>Europe actually cut rates but signal that maybe inflation pressures

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<v Speaker 3>are here to stay. We've got jobless claims actually showing

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<v Speaker 3>that they're higher than anticipated, but all eyes on non

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<v Speaker 3>farm payrolls tomorrow. So at the moment we're just cautious.

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<v Speaker 3>Ahead of those numbers. We're trading flat on the Nasdaq. Interestingly,

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<v Speaker 3>in Vidia just offer that three trillion dollar market count

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<v Speaker 3>just at this very moment, but it did eclipse it yesterday.

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<v Speaker 3>Ed we'll go into that in a moment. Tenure yield

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<v Speaker 3>currently just pushing up two basis points. Bonds selling off

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<v Speaker 3>globally after the ECB does cut but still warns us

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<v Speaker 3>that they've got to have a restrictive policy for longer

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<v Speaker 3>to try and catail inflation. That means euro is actually

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<v Speaker 3>just that little bit higher versus the US dollar. At

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<v Speaker 3>the moment, we're up a tenth of a percent, as

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<v Speaker 3>maybe we don't anticipate rate cuts coming for the ECB

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<v Speaker 3>until at least pushing out now to maybe September. Move on,

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<v Speaker 3>have a look at what's happening in the world of crypto.

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<v Speaker 3>We're going to focus in on bitcoin a little bit

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<v Speaker 3>later in the show. We've had a little bit of volatility,

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<v Speaker 3>but we're up three tens percent, seventy one thousand, still

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<v Speaker 3>at that very high level, near record highs. Well, we'll

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<v Speaker 3>get to one hundred thousand by the end of the year.

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<v Speaker 3>That's what one key investor has been saying. And what

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<v Speaker 3>are you watching.

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<v Speaker 2>Let's talk about in video gen sanity, the phrase coined

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<v Speaker 2>for the enthusiasm. Let's say of markets about Nvidia's CEO. Look,

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<v Speaker 2>this is a clear pullback, the stocks down a percentage point.

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<v Speaker 2>As you said, we touched three trillion dollars in market cap.

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<v Speaker 4>We are going to get into it.

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<v Speaker 2>We've be most just menting about valuations, comparisons against other

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<v Speaker 2>peers on the S and P five hundred waitings are

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<v Speaker 2>really important.

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<v Speaker 4>But Apple's flat.

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<v Speaker 2>I put that up as a precursor to my next

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<v Speaker 2>chart with Meta the best.

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<v Speaker 4>Performer on then as that one hundred from a points.

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<v Speaker 2>Perspective, because this is all we care about right now.

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<v Speaker 2>Let's bring up the terminal chart and look at Nvidia's

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<v Speaker 2>market cap relative to Apple. It is so close right now,

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<v Speaker 2>Apple just to touch above three trillion, in Vidio just

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<v Speaker 2>to touch below three trillion.

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<v Speaker 4>It was briefed, it was short lived.

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<v Speaker 2>But the point is is that in Vidia's only need

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<v Speaker 2>a third company to reach three trillion dollars of market

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<v Speaker 2>cap and it's it's the first ever semiconductor name or

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<v Speaker 2>chip maker to do. So let's get into it, Carol,

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<v Speaker 2>Let's talk about on which metric we decide if this

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<v Speaker 2>is fair, if it's a good idea, or if it's not.

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<v Speaker 3>And longer term, whether you keep on buying into this

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<v Speaker 3>stock just mentens with us. Of course, a blue Megan.

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<v Speaker 3>We just have that perfect setup for men telling us

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<v Speaker 3>once again Apple is back just pipping the post as

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<v Speaker 3>number two, but Emidia has just hit that landmark.

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<v Speaker 5>It's all psychological, isn't it.

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<v Speaker 3>It really is, and in many ways, so too is

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<v Speaker 3>a stock split to psychological.

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<v Speaker 5>What's driving us here.

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<v Speaker 6>Well, not surprisingly because it is the stock split driving

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<v Speaker 6>this moving higher ahead of that because Monday is when

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<v Speaker 6>the official stock split goes into effect. But something that's important,

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<v Speaker 6>to be an official shareholder before the ten for one

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<v Speaker 6>stock split, you actually have to be a shareholder today

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<v Speaker 6>by the close of trading in order for that to work.

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<v Speaker 6>So it's interesting dynamic that we saw this huge run

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<v Speaker 6>up and now the stock's selling off a little bit.

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<v Speaker 6>Not surprisingly we just did. To your point, Caroline, see

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<v Speaker 6>that three trillion mark yesterday as well. If you look

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<v Speaker 6>at the Philadelphia Semiconductor Index, obviously it houses other stocks

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<v Speaker 6>like AMD, Intel Micround Technology also down about one percent today.

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<v Speaker 6>But again to Ed's point, when you're thinking about valuations

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<v Speaker 6>versus the stock move that we've seen here, and also

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<v Speaker 6>talking about Apple, Caroline, if you think about that April

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<v Speaker 6>nineteenth low that we saw in Apple stock that stucks

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<v Speaker 6>close to about twenty percent higher in that span. It's

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<v Speaker 6>only about two percent off of that December high record.

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<v Speaker 5>But when you do look at Nvidia.

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<v Speaker 6>In that span, that stocks up from that April nineteenth

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<v Speaker 6>low for Apple though in comparison, and Videos up more

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<v Speaker 6>than sixty percent. So which one was the better stock

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<v Speaker 6>to buy? But again, Apple does have that fundamentals behind

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<v Speaker 6>it when you think about the buybacks for a company

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<v Speaker 6>like this.

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<v Speaker 4>Ed it's like one of those things.

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<v Speaker 2>So it's what it's three minutes past eight in San Francisco,

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<v Speaker 2>three minutes past eleven in New York.

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<v Speaker 4>Is in Nvidia bigger than Apple?

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<v Speaker 2>Okay, And that's what we're going to do every day

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<v Speaker 2>from this point because we're so excited about it. But

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<v Speaker 2>the actual reason that I showed this sort of in

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<v Speaker 2>the moment session trading is an important one, which is

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<v Speaker 2>that start of the year in Vidia had I think

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<v Speaker 2>about a three percent waiting on the S and P

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<v Speaker 2>five hundred. It's doubled to about six or more than

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<v Speaker 2>six percent waiting. And we talked earnings about how in

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<v Speaker 2>video's earning it's like a macro level event. My point,

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<v Speaker 2>Jess is like it impacts a lot of people right now,

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<v Speaker 2>what happens within Vidia.

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<v Speaker 6>It does, especially when you were talking about this stock

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<v Speaker 6>now being the second largest waiting in the S and

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<v Speaker 6>P five hundred, and something that's interesting about this even

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<v Speaker 6>though we did see it eclipse Apple's market cap yesterday,

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<v Speaker 6>earlier in this week, if you use the MEMB function

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<v Speaker 6>for the S and P five hundred in the terminal,

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<v Speaker 6>you would have seen and Videos waiting higher than Apples,

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<v Speaker 6>but still its market cap wasn't crossing the threshold over Apple.

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<v Speaker 6>And the reason is because actually it has to do

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<v Speaker 6>with float adjusted type shares. So Apples float adjusted, it's

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<v Speaker 6>actually ninety four percent, whereas the other six percent, for instance,

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<v Speaker 6>is held by institutional big investors like say Warren Buffett,

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<v Speaker 6>whereas in VideA or even Microsoft, those are one hundred

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<v Speaker 6>percent not adjusted. So there's a little bit of a

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<v Speaker 6>divergence there sometimes when you're looking in the terminal, and

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<v Speaker 6>if you saw a divergence at the beginning of this

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<v Speaker 6>week versus what the waiting was, and we're kind of

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<v Speaker 6>scratching your head wondering why in Video's market cap wasn't

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<v Speaker 6>bigger than that. But that's something else that imic when

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<v Speaker 6>you're thinking about sort of the size and scope for

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<v Speaker 6>a lot of these companies and why you're seeing discrepancies.

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<v Speaker 6>There's sometimes in the data.

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<v Speaker 2>And we await that ten for one stock split, which

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<v Speaker 2>will be an interesting moment. Blue most test meant and

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<v Speaker 2>thank you very much. Let's go up into space SpaceX's

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<v Speaker 2>massive starship rocket blasted off on its fourth major test

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<v Speaker 2>flight as the company makes or works to make the

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<v Speaker 2>vehicle operational, reusable, and ready for regular space trips. I

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<v Speaker 2>want to bring in Bloomberg intelligence analyst and fellow space

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<v Speaker 2>nerd Matt Bloxham for this. I mean, loads of our

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<v Speaker 2>audience are asking me all morning because we carried the

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<v Speaker 2>launch live hold on the booster got dumped in the

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<v Speaker 2>Gulf of Mexico. Starship spacecraft got dumped a controlled splash

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<v Speaker 2>in the Indian Ocean. But really, I think the story here, Matt,

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<v Speaker 2>is the data that's gathered from the process, and that's

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<v Speaker 2>what was important for SpaceX.

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<v Speaker 7>Yeah, that's right. And actually one of those words you said,

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<v Speaker 7>they're controlled, is really important too, that you know these

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<v Speaker 7>were controlled re entries and kind of splash landings for

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<v Speaker 7>both parts of the asset, and I think that's really important.

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<v Speaker 7>I think what we've seen in the previous launches is

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<v Speaker 7>very big fire explosions, you know, which is meant they've

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<v Speaker 7>not quite delivered what they hope to in those tests.

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<v Speaker 7>And also it's added delays to getting approval from the

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<v Speaker 7>FAA to do the next test launch. And you know

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<v Speaker 7>that they've got this ambition to launch people on a

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<v Speaker 7>man mission to the Moon sometime ho or after September

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<v Speaker 7>twenty twenty six, so they want to kind of get

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<v Speaker 7>anywhere close to that. They need to be doing these

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<v Speaker 7>tests very frequently and getting success. So I think the

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<v Speaker 7>fact that it was not perfect but close to perfect

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<v Speaker 7>in terms of the objectives, I think will help them

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<v Speaker 7>to kind of speed up those tests and move towards

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<v Speaker 7>that objective.

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<v Speaker 3>I mean, clear focus of congratulations coming from or the

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<v Speaker 3>guy who of course ultimately leads this business long term,

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<v Speaker 3>whether it's on a day to day basis ed or

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<v Speaker 3>must saying so many tiles and damaged flat starship made

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<v Speaker 3>it to the way to a soft landing in the ocean.

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<v Speaker 3>This incremental need for improvement. How costly is that map?

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<v Speaker 4>Very costly? You know?

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<v Speaker 7>This is that this program is kind of running into

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<v Speaker 7>kind of billions of billions of dollars, but they've got

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<v Speaker 7>multi billion dollar contracts with NASA, and also NASA is

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<v Speaker 7>a really important client for THEIRS in terms of taking

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<v Speaker 7>US astronauts back to the Moon. But also this program

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<v Speaker 7>is really important for the Starlink business, which is their

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<v Speaker 7>low Earth orbit satellite business, which has a huge number

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<v Speaker 7>of customers now maybe approaching three million, and they want

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<v Speaker 7>to use the Starship Rocket to send more and more

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<v Speaker 7>of those satellites up into low Earth orbit over the midterms.

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<v Speaker 7>So you know, it's important both the NASA and it's

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<v Speaker 7>also important for the SpaceX business as a whole, particularly Starlink.

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<v Speaker 3>I love bringing the contextualization there. Matt Bloxam, We thank you,

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<v Speaker 3>Bloomberg intelligence analyst and fellow space geek. Meanwhile, our attention

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<v Speaker 3>to China for a moment. Ali Baba, the president Corosine,

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<v Speaker 3>speaking exclusively with bluebog Tiv's animal drulers, about China's economy,

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<v Speaker 3>about tariff impacts on smooths and medium sized enterprises on

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<v Speaker 3>its platforms, but also about how the company is incorporating

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<v Speaker 3>as well.

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<v Speaker 5>AI take a listen.

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<v Speaker 8>This year we're tagting on two parts. The first part

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<v Speaker 8>is about the AI, so you know AI GC the

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<v Speaker 8>generous AI actually is one of the biggest kind of

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<v Speaker 8>breakthrough for the technology. And using AI in global trade

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<v Speaker 8>actually is one of the perfect user scenarios. So so

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<v Speaker 8>many use cases that we can help improve efficiency for

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<v Speaker 8>the sellers. We can help their efficiency how to post

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<v Speaker 8>product to the marketing, to communications buyers and as well

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<v Speaker 8>as to manage their business to see datas and we

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<v Speaker 8>are using the technology to help the seller as the

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<v Speaker 8>buyers as well. So previously the buyers using Alba dot

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<v Speaker 8>com as a sourcing engine, all the help of AI,

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<v Speaker 8>this is kind of a creativity engine for the buyers.

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<v Speaker 8>We can help them to generate a product which can

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<v Speaker 8>fit their imagination and we can use the agent to

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<v Speaker 8>help them to source, to connect and treat it as

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<v Speaker 8>the red partners. All this kind of technology can load

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<v Speaker 8>a buyer for the seer and the buyers.

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<v Speaker 2>That was Ali Baba president quote Jim watching shares also

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<v Speaker 2>at Mayswe and another Chinese name is we had to

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<v Speaker 2>break ear needs to be expectations topline grow twenty five percent,

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<v Speaker 2>but the company also expanding to new markets the Middle East.

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<v Speaker 2>Looking at Europe and other parts of Asia. Its first

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<v Speaker 2>fora outside of its domestic market in China. Interesting, be

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<v Speaker 2>right back, this is Bloomberg technology.

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<v Speaker 9>If we take out the seventy three thousand in the

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<v Speaker 9>next week or so, we're gonna have the year one

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<v Speaker 9>hundred thousands. Somewhere around there were even higher markets work.

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<v Speaker 9>They create ranges. When the ranges, the top of the

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<v Speaker 9>range breaks, you know, you have a nice extension. And

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<v Speaker 9>so you know at the bottom of that range was

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<v Speaker 9>started around forty, so forty to seventy.

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<v Speaker 3>This seventy goes to one hundred old calls coming from

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<v Speaker 3>Galaxy Digital CEO Mike novograts his outlook for bitcoin as

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<v Speaker 3>it just hovers still near that record, joining us for now.

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<v Speaker 5>Of what fundamentally or not fundamentally is.

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<v Speaker 3>Pushing at higher Edify editor in chief Lara Kriga, and

0:11:28.679 --> 0:11:30.240
<v Speaker 3>it's great to have some time with you, Lara. And

0:11:30.679 --> 0:11:33.679
<v Speaker 3>there has been this focus that at the moment, the

0:11:33.720 --> 0:11:38.640
<v Speaker 3>political sudden tailwinds in the US aren't being baked in

0:11:38.679 --> 0:11:40.320
<v Speaker 3>to crypto's price points right now.

0:11:40.400 --> 0:11:42.679
<v Speaker 5>Do you agree that's.

0:11:42.480 --> 0:11:43.040
<v Speaker 10>A good question.

0:11:43.240 --> 0:11:45.920
<v Speaker 11>I do think that politics has played at least some

0:11:46.120 --> 0:11:48.360
<v Speaker 11>role here, right So this is one of the few

0:11:49.280 --> 0:11:53.640
<v Speaker 11>issues crypto investing and cryptocurrency on which we finally have

0:11:54.120 --> 0:11:57.960
<v Speaker 11>bipartisan congressional support, which as you know, is very much

0:11:58.000 --> 0:12:00.760
<v Speaker 11>not easy to find these days. So you know, I

0:12:01.120 --> 0:12:04.559
<v Speaker 11>do think politics plays a role here, but not the

0:12:04.760 --> 0:12:09.280
<v Speaker 11>entire role, right, Like there's there's also enthusiasm around the

0:12:09.559 --> 0:12:14.040
<v Speaker 11>finally getting the access to spot bitcoin ETFs and advisors

0:12:14.040 --> 0:12:18.000
<v Speaker 11>and institutions graving to that, gravitating to that in that vehicle,

0:12:18.280 --> 0:12:21.880
<v Speaker 11>and also there's interest and excitement around the spot ethereum

0:12:22.200 --> 0:12:25.240
<v Speaker 11>etf potential of that coming to market and when is

0:12:25.280 --> 0:12:28.880
<v Speaker 11>that going to come? And that's the next new hot topic, right.

0:12:30.200 --> 0:12:33.880
<v Speaker 2>You know, Laura, it's a presidential election year, right, And

0:12:34.640 --> 0:12:37.560
<v Speaker 2>all of your industry participant colleagues that come on this

0:12:37.640 --> 0:12:40.439
<v Speaker 2>program say, you know, we love engaging with Congress, in

0:12:40.480 --> 0:12:44.200
<v Speaker 2>particular in Europe with regulators. But it's interesting that crypto

0:12:44.240 --> 0:12:46.240
<v Speaker 2>has become a point of policy. You know, there's the

0:12:46.320 --> 0:12:51.040
<v Speaker 2>reporting that former President Trump's very focused on crypto as

0:12:51.080 --> 0:12:51.920
<v Speaker 2>a platform.

0:12:52.360 --> 0:12:53.640
<v Speaker 4>What impact do you think that will have?

0:12:55.120 --> 0:12:58.679
<v Speaker 11>I think it's helping to drive the conversation forward, for sure.

0:12:59.480 --> 0:13:03.680
<v Speaker 11>You know, we're whereas eighteen months ago, twenty four months ago,

0:13:04.080 --> 0:13:07.640
<v Speaker 11>politicians could sort of afford to let it lie, and

0:13:07.679 --> 0:13:10.880
<v Speaker 11>maybe it felt like it was a little too toxic.

0:13:11.080 --> 0:13:13.640
<v Speaker 11>The Overton window has shifted a little bit. Now there's

0:13:13.720 --> 0:13:18.440
<v Speaker 11>no ignoring the reality that we need consistency, we need

0:13:18.520 --> 0:13:23.040
<v Speaker 11>clarity on these markets, and you know it's time to

0:13:23.080 --> 0:13:27.200
<v Speaker 11>start having those conversations. So I think that Trump coming

0:13:27.200 --> 0:13:31.640
<v Speaker 11>out very much in favor of bitcoin has sort of

0:13:31.679 --> 0:13:35.560
<v Speaker 11>helped force the conversation to the forefront. Regardless of where

0:13:35.600 --> 0:13:37.920
<v Speaker 11>you stand on the political issue.

0:13:37.600 --> 0:13:39.520
<v Speaker 3>Of it, you might be getting some clarity, you're not

0:13:39.520 --> 0:13:42.560
<v Speaker 3>getting consistency. It seems to be slow, slow, slow, all

0:13:42.600 --> 0:13:45.600
<v Speaker 3>at once when it comes to SEC approvals. And I'm

0:13:45.600 --> 0:13:48.760
<v Speaker 3>interested therefore whether we get upended with other types of

0:13:48.760 --> 0:13:52.360
<v Speaker 3>spot ets, So whether really we do the ether one

0:13:52.440 --> 0:13:53.079
<v Speaker 3>and stop.

0:13:54.240 --> 0:13:56.319
<v Speaker 11>That's a great question, is the one very much top

0:13:56.360 --> 0:13:59.520
<v Speaker 11>of my mind. So you know, the SEC a few

0:13:59.559 --> 0:14:03.720
<v Speaker 11>weeks go approved this special filing from stock exchanges that

0:14:03.840 --> 0:14:07.240
<v Speaker 11>allows them to kind of change their rules and list

0:14:07.400 --> 0:14:10.679
<v Speaker 11>spot etherrough ETFs. But that's not the same thing as

0:14:10.720 --> 0:14:14.440
<v Speaker 11>approving individual funds, although it is a necessary first step.

0:14:14.880 --> 0:14:17.560
<v Speaker 11>So now the SEC has the task ahead of it

0:14:17.640 --> 0:14:23.240
<v Speaker 11>of actually assessing and approving the individual ETF filings, so

0:14:23.480 --> 0:14:26.560
<v Speaker 11>you know that's going to take some time. The that's

0:14:26.600 --> 0:14:29.600
<v Speaker 11>actually SEC head Gary Gensler's where it's not mine. So

0:14:30.200 --> 0:14:33.360
<v Speaker 11>you're going to see the issuers begin to update their filings,

0:14:33.440 --> 0:14:36.960
<v Speaker 11>and that process does take some time and is already

0:14:37.000 --> 0:14:40.840
<v Speaker 11>beginning to happen. So you know, the the timeline might

0:14:40.880 --> 0:14:44.360
<v Speaker 11>be compressed from weeks instead of you know, usually months.

0:14:45.440 --> 0:14:47.680
<v Speaker 4>Edify editsor in chief Lawer Kriger, thank you.

0:14:55.160 --> 0:14:57.680
<v Speaker 12>This is still a bit of a novelty. Most people

0:14:57.800 --> 0:14:59.560
<v Speaker 12>driving next to us have never seen one of these.

0:15:01.800 --> 0:15:04.960
<v Speaker 2>This is a robotaxi from Zoos, an autonomous ride hailing

0:15:04.960 --> 0:15:08.640
<v Speaker 2>company owned by Amazon. It has no steering wheel, no pedals,

0:15:08.760 --> 0:15:11.720
<v Speaker 2>and four inward facing seats. It's now running on a

0:15:11.800 --> 0:15:14.600
<v Speaker 2>five mile loop in Las Vegas, across three lane roads,

0:15:14.720 --> 0:15:17.880
<v Speaker 2>unprotected turns, and in mixed traffic at speeds of up

0:15:17.880 --> 0:15:19.360
<v Speaker 2>to forty five miles per hour.

0:15:19.520 --> 0:15:21.880
<v Speaker 12>We really wanted to feel like you're being driven by

0:15:21.960 --> 0:15:24.400
<v Speaker 12>a very safe, expert human driver.

0:15:24.840 --> 0:15:27.840
<v Speaker 2>Zooks rover taxi runs on software trained on millions of

0:15:27.880 --> 0:15:31.720
<v Speaker 2>miles gathered by test vehicles. It's also packed with sensors, cameras,

0:15:31.800 --> 0:15:34.800
<v Speaker 2>led our radar, and temperature probes which generate a full

0:15:34.840 --> 0:15:37.320
<v Speaker 2>picture of the world around it in real time. It's

0:15:37.360 --> 0:15:40.560
<v Speaker 2>bidirectional with a battery electric drive unit at each end.

0:15:40.840 --> 0:15:43.680
<v Speaker 2>On our left hand side, there was cones and warnings

0:15:43.920 --> 0:15:47.120
<v Speaker 2>and we cut across two lanes of traffic.

0:15:46.840 --> 0:15:49.000
<v Speaker 12>And the map probably didn't have those cones in it.

0:15:49.400 --> 0:15:51.240
<v Speaker 12>But we have to be able to detect anything that's

0:15:51.360 --> 0:15:54.040
<v Speaker 12>changed in real time and then adjust our plans accordingly.

0:15:54.240 --> 0:15:56.800
<v Speaker 2>Zoos wants to prove its tech works on the outskirts

0:15:56.800 --> 0:15:59.440
<v Speaker 2>of Vegas before launching in the city as its first

0:15:59.480 --> 0:16:03.040
<v Speaker 2>commercial market. There were US agencies now looking at Zookes's

0:16:03.120 --> 0:16:06.640
<v Speaker 2>self driving tech after two incidents with test vehicles. One

0:16:06.640 --> 0:16:10.560
<v Speaker 2>of Zookes's main competitors is Alphabet's Weimo, which uses retrofitted

0:16:10.640 --> 0:16:14.280
<v Speaker 2>cars for its autonomous ride hailing. While GM's Cruise has

0:16:14.320 --> 0:16:18.000
<v Speaker 2>recently scaled backplans and testing of its own purpose built

0:16:18.080 --> 0:16:22.120
<v Speaker 2>origin robotaxi, zooks has been deliberately cautious about when a

0:16:22.120 --> 0:16:25.680
<v Speaker 2>commercial service will launch. Expansion to San Francisco for the

0:16:25.720 --> 0:16:29.040
<v Speaker 2>true robotaxi is in the works, but right now Zookes

0:16:29.120 --> 0:16:31.800
<v Speaker 2>can claim to be the only operator of a purpose

0:16:31.800 --> 0:16:35.840
<v Speaker 2>built robotaxi allowed to give rights on public roads in America.

0:16:38.400 --> 0:16:40.960
<v Speaker 2>So it really is a first carr at least in America,

0:16:41.000 --> 0:16:45.040
<v Speaker 2>a fully autonomous but purpose built robotaxi, right, no steering wheel,

0:16:45.080 --> 0:16:49.760
<v Speaker 2>no pedals on real public roads. That wasn't a controlled test.

0:16:50.080 --> 0:16:51.680
<v Speaker 2>It was a real one in the real world with

0:16:51.760 --> 0:16:54.880
<v Speaker 2>real traffic. And the news is that that will be

0:16:54.920 --> 0:16:57.120
<v Speaker 2>available to the public maybe by the end of this

0:16:57.200 --> 0:16:59.800
<v Speaker 2>year December, or at least the start of next year,

0:17:00.120 --> 0:17:02.440
<v Speaker 2>even if it's in a limited number of miles of road.

0:17:02.960 --> 0:17:06.680
<v Speaker 5>Feels like a lot of firsts. But people other companies

0:17:07.040 --> 0:17:07.760
<v Speaker 5>hot in their hills.

0:17:09.119 --> 0:17:11.560
<v Speaker 2>Yeah, I mean, what's interesting about it is the Tesla

0:17:11.600 --> 0:17:16.600
<v Speaker 2>components this right, we know that robotaxi is coming in

0:17:17.080 --> 0:17:20.600
<v Speaker 2>August in some shape or form, and maybe that's Elon acknowledging.

0:17:20.200 --> 0:17:21.160
<v Speaker 4>That Zooke's got it right.

0:17:21.600 --> 0:17:24.119
<v Speaker 2>Cruisers pulled back its plan for basically the same thing,

0:17:24.160 --> 0:17:27.359
<v Speaker 2>and Weymo's not really doing it. What's extraordinary is like

0:17:27.680 --> 0:17:30.840
<v Speaker 2>the real world. So in that example, it was traffic, cones,

0:17:31.280 --> 0:17:34.159
<v Speaker 2>closed lanes, but there are some other things that it

0:17:34.200 --> 0:17:34.880
<v Speaker 2>can handle as well.

0:17:34.880 --> 0:17:35.320
<v Speaker 4>Listen to this.

0:17:36.600 --> 0:17:39.680
<v Speaker 1>I've really stayed away from the race. And you know Carlin,

0:17:39.760 --> 0:17:43.120
<v Speaker 1>who has bold position and who doesn't. There's so much

0:17:43.240 --> 0:17:47.720
<v Speaker 1>nuance in this industry. What I will tell you is

0:17:47.760 --> 0:17:51.199
<v Speaker 1>that Zeus has even more conviction in the path that

0:17:51.240 --> 0:17:52.359
<v Speaker 1>it's chosen.

0:17:52.560 --> 0:17:55.120
<v Speaker 5>And it is believed that.

0:17:55.160 --> 0:17:57.520
<v Speaker 1>It chose it and had the courage to do it

0:17:57.920 --> 0:17:59.040
<v Speaker 1>and to stay on course.

0:18:01.320 --> 0:18:02.160
<v Speaker 4>So just real quick.

0:18:02.160 --> 0:18:05.359
<v Speaker 2>What's interesting is like Icerevin's really impressive CEO, spend a

0:18:05.400 --> 0:18:07.040
<v Speaker 2>lot of time at Intel before zokes.

0:18:07.560 --> 0:18:09.480
<v Speaker 4>She just won't exaggerate.

0:18:09.600 --> 0:18:11.879
<v Speaker 2>She doesn't do the musk thing of like this is

0:18:11.920 --> 0:18:13.760
<v Speaker 2>happening at this timeline, We're going to make loads of

0:18:13.760 --> 0:18:15.960
<v Speaker 2>money and that could be frustrating. But it's kind of

0:18:15.960 --> 0:18:19.960
<v Speaker 2>like hair in the tortoise scenario where Zookes was the

0:18:19.960 --> 0:18:21.080
<v Speaker 2>tortoise and it's come from.

0:18:20.920 --> 0:18:22.479
<v Speaker 5>Behind shock horror.

0:18:22.560 --> 0:18:25.560
<v Speaker 3>Soone actually telling it as it is rather than a

0:18:25.560 --> 0:18:29.000
<v Speaker 3>little bit of an ambitious sprinkle. But what is ambitious

0:18:29.040 --> 0:18:30.960
<v Speaker 3>is the fact that it's gone on to the real world,

0:18:31.280 --> 0:18:33.119
<v Speaker 3>real life. What sort of things did you come up

0:18:33.119 --> 0:18:34.360
<v Speaker 3>against when in real traffic?

0:18:35.280 --> 0:18:37.159
<v Speaker 2>Yeah, I think it's that human drivers are kind of

0:18:37.240 --> 0:18:40.840
<v Speaker 2>erratic and sometimes you don't know what's going to happen. Yeah,

0:18:40.920 --> 0:18:44.800
<v Speaker 2>and me as well, And sometimes something might drop out

0:18:44.800 --> 0:18:47.320
<v Speaker 2>of the sky or a food truck gets in your way.

0:18:47.359 --> 0:18:47.840
<v Speaker 4>Listen to this.

0:18:48.600 --> 0:18:51.639
<v Speaker 1>There's a truck in front of us and it's happened

0:18:51.680 --> 0:18:54.560
<v Speaker 1>to be a food truck and tackle plates started flying

0:18:54.600 --> 0:18:56.840
<v Speaker 1>out of it. It basically looked at it. I saw

0:18:56.880 --> 0:18:59.359
<v Speaker 1>them slowed down and say, hey, I'm seeing stuff coming.

0:18:59.640 --> 0:19:01.680
<v Speaker 1>And then it had to make a decision as to

0:19:01.880 --> 0:19:05.240
<v Speaker 1>this is debris. Is it strikaable debris or not strikable

0:19:05.280 --> 0:19:07.880
<v Speaker 1>debris and so but it looked on the next lane

0:19:07.920 --> 0:19:09.800
<v Speaker 1>and said that, oh, I have space there and just

0:19:09.840 --> 0:19:11.560
<v Speaker 1>went on around it then moved on.

0:19:13.000 --> 0:19:15.679
<v Speaker 2>So literally, the zooks was driving food truck in front.

0:19:15.760 --> 0:19:17.399
<v Speaker 2>The doors come out the back of the food truck

0:19:17.440 --> 0:19:21.280
<v Speaker 2>and tacos and plates fly out, and the Zookes didn't panic.

0:19:21.320 --> 0:19:23.760
<v Speaker 5>It just plowed from some tacos.

0:19:24.600 --> 0:19:27.560
<v Speaker 2>Yeah, exactly exactly. Anyway, that was the experience. Check it

0:19:27.600 --> 0:19:31.000
<v Speaker 2>out dot com. Another big story today, the Foundering podcast

0:19:31.440 --> 0:19:34.159
<v Speaker 2>is back. In this astallment Our Bloomberg reporters take a

0:19:34.160 --> 0:19:37.320
<v Speaker 2>look at open Ayes. Sam Outman from founding a startup

0:19:37.359 --> 0:19:40.320
<v Speaker 2>at nineteen to running y combinat at age twenty nine.

0:19:40.560 --> 0:19:44.320
<v Speaker 2>The CEO behind chat GPT is the most Silicon Valley

0:19:44.359 --> 0:19:47.600
<v Speaker 2>man alive. I want to bring in Bloomberg's Ellen Hewitt

0:19:48.320 --> 0:19:52.399
<v Speaker 2>give us just the broad introduction to this version of

0:19:52.440 --> 0:19:54.560
<v Speaker 2>Foundering and what we learn about.

0:19:54.359 --> 0:19:58.080
<v Speaker 10>Sam totally So Foundering is this is in our fifth season.

0:19:58.160 --> 0:20:01.080
<v Speaker 10>It's a narrative podcast in which we tell one story

0:20:01.119 --> 0:20:04.040
<v Speaker 10>every season. It's a story of a high stakes drama

0:20:04.080 --> 0:20:06.600
<v Speaker 10>in Silicon Valley, and this season we decided to go

0:20:07.240 --> 0:20:10.399
<v Speaker 10>deep on Open AI and it's in particular Sam Altman,

0:20:10.440 --> 0:20:14.160
<v Speaker 10>their leader, and I think you know what listeners can

0:20:14.200 --> 0:20:18.400
<v Speaker 10>expect over the five episodes is really like an analytical

0:20:18.680 --> 0:20:21.280
<v Speaker 10>arc of where did Sam come from? How did he

0:20:21.400 --> 0:20:23.879
<v Speaker 10>rise to power? What are some of the strategies that

0:20:23.920 --> 0:20:26.760
<v Speaker 10>he's used over the course of his career to accumulate

0:20:26.760 --> 0:20:29.359
<v Speaker 10>the kind of power that he has now, and what

0:20:29.480 --> 0:20:32.119
<v Speaker 10>I consider the key question of the series, should we

0:20:32.160 --> 0:20:36.439
<v Speaker 10>trust him? Should we trust this person, especially after the

0:20:36.480 --> 0:20:38.760
<v Speaker 10>events of last November, which, as we all remember, he

0:20:38.920 --> 0:20:42.200
<v Speaker 10>was fired from his seat as the CEO and then

0:20:43.119 --> 0:20:44.320
<v Speaker 10>within five days was back.

0:20:45.160 --> 0:20:47.760
<v Speaker 3>Yeah, And well it's notable is I think Sam actually

0:20:47.800 --> 0:20:50.360
<v Speaker 3>told EMONI Chang back at the Tech summit.

0:20:50.160 --> 0:20:53.800
<v Speaker 5>A year and over a year ago, don't trust me? Right?

0:20:54.000 --> 0:20:56.200
<v Speaker 3>There is the ability to ouse me and we saw

0:20:56.200 --> 0:20:59.159
<v Speaker 3>that happen in real time, and then who are some

0:20:59.200 --> 0:21:01.640
<v Speaker 3>of the people that he's worked to alongside. It's interesting

0:21:01.680 --> 0:21:04.960
<v Speaker 3>that in particular, Pool Graham took to x recently posting

0:21:05.240 --> 0:21:07.440
<v Speaker 3>this is the truth about how he left Y culminated

0:21:07.480 --> 0:21:09.480
<v Speaker 3>for example, getting any clarity.

0:21:10.359 --> 0:21:14.520
<v Speaker 10>Well why Sam's relationship with Paul Graham is a perfect

0:21:14.640 --> 0:21:17.880
<v Speaker 10>example of how Sam has accumulated power over the course

0:21:17.920 --> 0:21:20.639
<v Speaker 10>of his career. He even as at a very young age,

0:21:20.880 --> 0:21:23.919
<v Speaker 10>you know, really won over Paul Graham, and when he

0:21:24.000 --> 0:21:27.159
<v Speaker 10>joined Y Combinator at nineteen, and Paul went on to

0:21:27.240 --> 0:21:31.080
<v Speaker 10>elevate Sam, you know, writing all these very effusive blog

0:21:31.160 --> 0:21:33.000
<v Speaker 10>posts about how great a leader he is, and then

0:21:33.119 --> 0:21:35.520
<v Speaker 10>you know, in twenty fourteen, hands selecting him to be

0:21:35.840 --> 0:21:39.120
<v Speaker 10>his successor at Y Combinator, and you know, Sam goes

0:21:39.119 --> 0:21:42.320
<v Speaker 10>on to make these partnerships with you know, very powerful

0:21:42.320 --> 0:21:45.720
<v Speaker 10>people such as Elon Musk when Elon you know, agreed

0:21:45.720 --> 0:21:48.400
<v Speaker 10>to fund open Ai and then later when Elon left

0:21:48.440 --> 0:21:51.199
<v Speaker 10>and Sam needed more money with Satya Nadella so that

0:21:51.560 --> 0:21:53.320
<v Speaker 10>you know, open Ai could continue to get money.

0:21:53.359 --> 0:21:55.280
<v Speaker 5>And so we do try to track.

0:21:55.119 --> 0:21:57.399
<v Speaker 10>Like where he has really.

0:21:57.160 --> 0:22:01.240
<v Speaker 13>Made these decisions and what to do with the power

0:22:01.280 --> 0:22:04.400
<v Speaker 13>that he has. Now it is a heavy burden, I'm sure.

0:22:04.400 --> 0:22:06.080
<v Speaker 13>And you go into family life as well. It's going

0:22:06.119 --> 0:22:08.520
<v Speaker 13>to be extraordinary. Listen, I can't wait to get into

0:22:08.520 --> 0:22:10.879
<v Speaker 13>the first episode. Blue Meg's Ellen hewittt we thank you.

0:22:11.000 --> 0:22:13.440
<v Speaker 13>Check out the Foundering podcast now.

0:22:13.320 --> 0:22:23.760
<v Speaker 3>On the terminal and wherever you get your podcasts. Welcome

0:22:23.760 --> 0:22:26.240
<v Speaker 3>back to Blue Meg Technology. I'm Caroline Hide in New York.

0:22:26.520 --> 0:22:28.480
<v Speaker 4>And I med love Low in San Francisco. Carriage. Just

0:22:28.480 --> 0:22:29.840
<v Speaker 4>a really quick check in on the markets.

0:22:29.880 --> 0:22:32.280
<v Speaker 2>This is kind of the broad picture in the United States,

0:22:32.359 --> 0:22:34.879
<v Speaker 2>and that's that one hundred is as flat as a pancake.

0:22:35.680 --> 0:22:38.400
<v Speaker 2>US tenure yelds creeping just a little higher four point

0:22:38.480 --> 0:22:41.240
<v Speaker 2>two eight percent, and as you we've noted and actually

0:22:41.240 --> 0:22:44.320
<v Speaker 2>we're now hiring the session half percentage point on bitcoin,

0:22:44.359 --> 0:22:48.080
<v Speaker 2>but we're hovering at that record level around seventy one

0:22:48.200 --> 0:22:52.480
<v Speaker 2>seventy two thousand US dollars per token. The equity story

0:22:52.520 --> 0:22:55.160
<v Speaker 2>is basically in Vidia. You know, we were very excited,

0:22:55.200 --> 0:22:57.240
<v Speaker 2>we talked about how it hit three trillion dollars of

0:22:57.320 --> 0:23:00.679
<v Speaker 2>market cap. Actually during the course of this pro the

0:23:00.760 --> 0:23:04.080
<v Speaker 2>pullback has accelerated down one point eight percent. But the

0:23:04.080 --> 0:23:06.359
<v Speaker 2>big picture is now that in Video is such a

0:23:06.400 --> 0:23:09.160
<v Speaker 2>big waiting on the S and P five hundred more

0:23:09.200 --> 0:23:13.200
<v Speaker 2>than six percent, and there is so much gensanity or

0:23:13.240 --> 0:23:16.000
<v Speaker 2>whatever you want to call it, fanfare around Jensen Huang.

0:23:16.440 --> 0:23:17.760
<v Speaker 4>There wasn't actually any real.

0:23:17.640 --> 0:23:20.760
<v Speaker 2>News catalyst about its products or its use case in

0:23:20.800 --> 0:23:23.000
<v Speaker 2>the real world, driving the stock into pullback from that

0:23:23.119 --> 0:23:25.600
<v Speaker 2>three trillion dollar market cap mark, of which it was

0:23:25.640 --> 0:23:27.280
<v Speaker 2>the first chip name to achieve.

0:23:27.320 --> 0:23:28.200
<v Speaker 4>It the third of.

0:23:28.160 --> 0:23:30.600
<v Speaker 2>All time to hit three trillion dollars in market cap,

0:23:30.760 --> 0:23:33.359
<v Speaker 2>and I suspect we shall continue to talk about it

0:23:33.400 --> 0:23:34.600
<v Speaker 2>for many months to come.

0:23:35.000 --> 0:23:36.919
<v Speaker 3>We will, and we're going to talk about who holds it,

0:23:37.000 --> 0:23:39.840
<v Speaker 3>because it's time for talking tech and first up arc investments.

0:23:39.920 --> 0:23:42.880
<v Speaker 3>Kathy would As actually saying they're well positioned in artificial

0:23:42.880 --> 0:23:46.359
<v Speaker 3>intelligence despite having trimmed their own video position. In a

0:23:46.440 --> 0:23:49.400
<v Speaker 3>video interview over in Hong Kong, Wood say that her

0:23:49.400 --> 0:23:52.119
<v Speaker 3>firm still owns in Video in specialized portfolios and in

0:23:52.160 --> 0:23:55.040
<v Speaker 3>its flagship fund, even though she sold out most of

0:23:55.080 --> 0:23:59.440
<v Speaker 3>her position before that enormous rally last year. Plus US

0:23:59.520 --> 0:24:02.960
<v Speaker 3>regulators whi they're investigating Microsoft over a possible Aqua Hied

0:24:03.000 --> 0:24:05.320
<v Speaker 3>deal for an AI startup now that's according to The

0:24:05.359 --> 0:24:06.760
<v Speaker 3>Wall Street Journal In March.

0:24:06.880 --> 0:24:08.000
<v Speaker 5>Remember, Microsoft degree to.

0:24:08.000 --> 0:24:10.920
<v Speaker 3>Pay six round fifty million dollars to license the artificial

0:24:10.920 --> 0:24:14.720
<v Speaker 3>intelligence software from the startup Inflection, with Microsoft moving to

0:24:14.720 --> 0:24:17.159
<v Speaker 3>actually hire most of their staff. The deal now faces

0:24:17.240 --> 0:24:20.639
<v Speaker 3>regulatory scrutiny for resembling basically what looks like a larger

0:24:20.720 --> 0:24:24.440
<v Speaker 3>company sometimes do of taking over startups without an acquisition.

0:24:25.240 --> 0:24:27.960
<v Speaker 3>And US federal regulators have reached a deal that will

0:24:27.960 --> 0:24:31.120
<v Speaker 3>allow them to proceed with anti trust investigations of Microsoft,

0:24:31.200 --> 0:24:34.040
<v Speaker 3>Open Ai, and Nvidia. Under the agreement, the US Justice

0:24:34.040 --> 0:24:36.880
<v Speaker 3>Department will take the lead in investigating whether in Video

0:24:37.000 --> 0:24:40.240
<v Speaker 3>violated anti trust laws. Meanwhile, the FDC will lead in

0:24:40.320 --> 0:24:42.639
<v Speaker 3>examining the conducts of open Ai.

0:24:44.320 --> 0:24:47.080
<v Speaker 2>Okay, this is a name that made a big impact

0:24:47.119 --> 0:24:50.120
<v Speaker 2>earlier in the year. Cognition AI is trying to make

0:24:50.240 --> 0:24:54.639
<v Speaker 2>software engine easier, in engineering easier, but with AI, the

0:24:54.680 --> 0:24:58.760
<v Speaker 2>startup is building collaborative AI teammates for engineers so they

0:24:58.800 --> 0:25:02.119
<v Speaker 2>can focus on more interesting tasks, and they dubbed their

0:25:02.119 --> 0:25:06.600
<v Speaker 2>own AI agent, Devin As the first AI software engineer.

0:25:06.720 --> 0:25:09.199
<v Speaker 2>Delighted to say that Commission AI CEO and co founder

0:25:09.400 --> 0:25:12.280
<v Speaker 2>Scott Woods with us in San Francisco. You're somebody that

0:25:12.320 --> 0:25:14.480
<v Speaker 2>spits your time San Francisco and New York. We're going

0:25:14.520 --> 0:25:16.840
<v Speaker 2>to talk a lot about New York. But when you

0:25:16.840 --> 0:25:19.480
<v Speaker 2>guys kind of I guess came out of stealth. The

0:25:19.800 --> 0:25:24.680
<v Speaker 2>response was absolutely ginormous. The demo video in the millions

0:25:24.720 --> 0:25:27.879
<v Speaker 2>and millions of views, and your name was everywhere. I

0:25:27.920 --> 0:25:29.760
<v Speaker 2>just want to know in the first instance, what that's

0:25:29.760 --> 0:25:32.119
<v Speaker 2>been like in the last few weeks and months.

0:25:32.200 --> 0:25:34.159
<v Speaker 14>Absolutely, version, thank you so much for having me. I mean,

0:25:34.200 --> 0:25:37.080
<v Speaker 14>it's it's been crazy. No, it's it's been wild and

0:25:37.080 --> 0:25:39.680
<v Speaker 14>ever since the lage and I think you know, we've

0:25:39.720 --> 0:25:42.960
<v Speaker 14>seen a real, real need in the market for this

0:25:43.040 --> 0:25:43.760
<v Speaker 14>kind of technology.

0:25:44.560 --> 0:25:47.000
<v Speaker 2>There's the gaming use case, which I'm going to get

0:25:47.040 --> 0:25:48.959
<v Speaker 2>right to. I'm a massive gamer. I don't know what

0:25:49.000 --> 0:25:51.800
<v Speaker 2>you're playing right now, but I just started playing Resident

0:25:51.880 --> 0:25:54.960
<v Speaker 2>Evil for remake on PlayStation, and I bring that up

0:25:55.000 --> 0:25:58.399
<v Speaker 2>as an a literative example that making video games the

0:25:58.560 --> 0:26:02.520
<v Speaker 2>creation timeline is very frustrating for fans. That seems to

0:26:02.520 --> 0:26:04.920
<v Speaker 2>be something that you think you can help with from

0:26:04.960 --> 0:26:06.399
<v Speaker 2>the engineering perspective.

0:26:06.600 --> 0:26:09.040
<v Speaker 14>Yeah, yeah, So we've seen our customers use Devon for

0:26:09.080 --> 0:26:12.280
<v Speaker 14>all sorts of different use cases. You know full stack engineering,

0:26:12.600 --> 0:26:16.920
<v Speaker 14>data analysis, code migration, and I think in particular, we've

0:26:16.920 --> 0:26:19.480
<v Speaker 14>seen a lot of real use in some of these

0:26:19.520 --> 0:26:23.159
<v Speaker 14>real tedious, repetitive tasks that are often taking human engineers

0:26:23.200 --> 0:26:24.919
<v Speaker 14>a lot of time. And so you know, we we

0:26:24.960 --> 0:26:27.399
<v Speaker 14>have companies who are doing thousand hour projects that are

0:26:27.440 --> 0:26:29.800
<v Speaker 14>now moving five times faster with the help of Devon.

0:26:30.280 --> 0:26:30.600
<v Speaker 5>Scott.

0:26:30.600 --> 0:26:34.920
<v Speaker 3>It feels therefore that you're in the we're augmenting humans.

0:26:34.560 --> 0:26:36.560
<v Speaker 5>Camp rather than replacing them.

0:26:36.800 --> 0:26:39.520
<v Speaker 3>But how much anxiety have you seen Have you talked

0:26:39.560 --> 0:26:41.879
<v Speaker 3>about that this is going to replace people?

0:26:42.920 --> 0:26:43.160
<v Speaker 8>Yeah?

0:26:43.240 --> 0:26:46.240
<v Speaker 14>No, absolutely, I think you know, we're all engineers ourselves

0:26:46.320 --> 0:26:49.919
<v Speaker 14>by training at Cognition, and you know, even ourselves we

0:26:50.000 --> 0:26:52.199
<v Speaker 14>use Devan all the time when we're building Devon, and

0:26:52.240 --> 0:26:55.320
<v Speaker 14>there's really so much more what we see all the times.

0:26:55.480 --> 0:26:58.000
<v Speaker 14>There's just so much more to build, you know, And

0:26:58.400 --> 0:27:00.600
<v Speaker 14>we think the heart of software engineering is is deep

0:27:00.680 --> 0:27:03.679
<v Speaker 14>logical problem solving, and you know, we want to be

0:27:03.720 --> 0:27:05.200
<v Speaker 14>able to help people do more and more of that

0:27:05.320 --> 0:27:07.240
<v Speaker 14>and have to focus a little bit less on some

0:27:07.240 --> 0:27:10.200
<v Speaker 14>of the implementation and the debugging and all of these

0:27:10.280 --> 0:27:11.200
<v Speaker 14>other details.

0:27:11.560 --> 0:27:15.000
<v Speaker 3>I loved how Aired articulated basically the fast worm you

0:27:15.119 --> 0:27:18.280
<v Speaker 3>created when you came out of Stealth and much What

0:27:18.400 --> 0:27:20.640
<v Speaker 3>caught the attention was the money going in twenty one

0:27:20.640 --> 0:27:22.800
<v Speaker 3>million dollars from the likes of Peter Teal's bench Fund,

0:27:22.800 --> 0:27:24.480
<v Speaker 3>but also the fact that there were so few of you,

0:27:25.160 --> 0:27:26.119
<v Speaker 3>just ten in your team.

0:27:26.240 --> 0:27:28.119
<v Speaker 5>How is that scaled? What are you looking to do

0:27:28.160 --> 0:27:29.680
<v Speaker 5>in terms of continue to grow?

0:27:30.920 --> 0:27:33.760
<v Speaker 14>Yeah, yeah, absolutely, no, I mean I think we're still

0:27:33.880 --> 0:27:35.600
<v Speaker 14>very very early and there's a lot more to do.

0:27:36.040 --> 0:27:38.080
<v Speaker 14>We've been looking to go our team, you know, with

0:27:38.400 --> 0:27:41.040
<v Speaker 14>really great technical talent from both New York and the

0:27:41.080 --> 0:27:43.880
<v Speaker 14>Bay Area, and yeah, continuing to scale up and get

0:27:43.880 --> 0:27:45.280
<v Speaker 14>it out to as many customers as we can.

0:27:45.400 --> 0:27:48.040
<v Speaker 3>Okay, let's go there, New York and the Bay Area.

0:27:48.600 --> 0:27:51.560
<v Speaker 3>What is it that New York offers you in terms

0:27:51.600 --> 0:27:52.000
<v Speaker 3>of talent?

0:27:52.080 --> 0:27:53.119
<v Speaker 5>What does the Bay Area?

0:27:53.240 --> 0:27:56.320
<v Speaker 3>How are you thinking about being decentralized or having headquarters

0:27:56.320 --> 0:27:57.360
<v Speaker 3>in certain places?

0:27:58.119 --> 0:27:59.840
<v Speaker 4>Yeah, I think both are Honestly.

0:28:00.680 --> 0:28:02.119
<v Speaker 14>A lot of our team, you know, we have a

0:28:02.119 --> 0:28:03.600
<v Speaker 14>lot of our team from New York and we have

0:28:03.640 --> 0:28:05.240
<v Speaker 14>a lot of our team from the area as well,

0:28:05.640 --> 0:28:09.359
<v Speaker 14>And I think we've seen that having access to talent

0:28:09.640 --> 0:28:11.520
<v Speaker 14>from both locations has been amazing for us.

0:28:12.680 --> 0:28:16.280
<v Speaker 2>Part of the exploration of Actually Vance's story about you

0:28:16.320 --> 0:28:19.199
<v Speaker 2>guys that kind of lifted the lid on cognition. Was

0:28:20.119 --> 0:28:22.320
<v Speaker 2>some mystery about how you did it, how you made.

0:28:22.240 --> 0:28:23.320
<v Speaker 4>So much progress.

0:28:24.440 --> 0:28:28.040
<v Speaker 2>I'm not a computer scientist or a software engineer, but

0:28:28.520 --> 0:28:30.400
<v Speaker 2>was this a case of you guys building your own

0:28:30.440 --> 0:28:33.879
<v Speaker 2>large language model or building on top of other people's

0:28:33.920 --> 0:28:34.800
<v Speaker 2>large language models.

0:28:34.840 --> 0:28:38.720
<v Speaker 4>Just give me the basics of why your thing works. Yeah.

0:28:38.760 --> 0:28:41.640
<v Speaker 14>So Devon is an autonomous agent, and what that means

0:28:41.800 --> 0:28:43.560
<v Speaker 14>is that Devon is able to use all the same

0:28:43.600 --> 0:28:45.640
<v Speaker 14>tools that a human would use. And so, you know,

0:28:45.720 --> 0:28:48.880
<v Speaker 14>if you think about going through a debugging process or

0:28:48.960 --> 0:28:51.120
<v Speaker 14>building a website or things like that, you know you're

0:28:51.160 --> 0:28:52.479
<v Speaker 14>going to be writing code. But at the same time

0:28:52.520 --> 0:28:54.040
<v Speaker 14>you're also going to be running code. You're going to

0:28:54.040 --> 0:28:57.960
<v Speaker 14>be running tests, maybe browsing the web, reading documentation, and

0:28:58.040 --> 0:28:59.800
<v Speaker 14>all the same tools.

0:28:59.520 --> 0:29:00.640
<v Speaker 4>That when would use.

0:29:00.960 --> 0:29:04.000
<v Speaker 14>And we specifically built Devon to be able to work

0:29:04.000 --> 0:29:05.800
<v Speaker 14>with those tools and iterate on top of that.

0:29:06.120 --> 0:29:08.720
<v Speaker 2>Could we talk about money, You know, in the piece

0:29:08.760 --> 0:29:11.400
<v Speaker 2>it says you raised twenty one million dollars through Peter

0:29:11.520 --> 0:29:14.560
<v Speaker 2>Teel and founder is fund. That doesn't seem like very

0:29:14.680 --> 0:29:18.120
<v Speaker 2>much when you consider compute costs. Are you revenue generating

0:29:18.200 --> 0:29:19.920
<v Speaker 2>so you can support yourselves or you're going to have

0:29:19.960 --> 0:29:21.720
<v Speaker 2>to find some more cash?

0:29:21.960 --> 0:29:24.160
<v Speaker 14>Yeah, yeah, absolutely, and so you know, we we actually

0:29:24.440 --> 0:29:27.200
<v Speaker 14>we closed another round just last month, just last month,

0:29:27.200 --> 0:29:28.920
<v Speaker 14>which yeah, yeah, and to bring in a little bit

0:29:28.960 --> 0:29:31.120
<v Speaker 14>less about it all, we raised one hundred and seventy

0:29:31.120 --> 0:29:35.240
<v Speaker 14>five million from a few different funds, primarily from founders

0:29:35.280 --> 0:29:37.880
<v Speaker 14>Fund Kosler and a lard girl.

0:29:38.440 --> 0:29:40.640
<v Speaker 2>You be comfortable disclosing the evaluation.

0:29:40.400 --> 0:29:43.280
<v Speaker 14>Ish, Yeah, the valuation is around two billion.

0:29:43.280 --> 0:29:46.400
<v Speaker 4>Two billion, sorry I interrupted, ke.

0:29:46.520 --> 0:29:48.520
<v Speaker 14>No, Yeah, yeah, so you know, obviously a lot of

0:29:48.560 --> 0:29:51.440
<v Speaker 14>really really great names and it's we're we're super excited

0:29:51.440 --> 0:29:54.320
<v Speaker 14>to have have such such great investors at the table.

0:29:54.360 --> 0:29:56.040
<v Speaker 14>But yeah, as you said, you know, I think this

0:29:56.120 --> 0:29:58.880
<v Speaker 14>money gives us the runway we need to really scale

0:29:58.960 --> 0:30:01.040
<v Speaker 14>up and to size up and to do more.

0:30:01.240 --> 0:30:04.480
<v Speaker 5>So do more, tell us as and when you do.

0:30:04.680 --> 0:30:07.280
<v Speaker 3>Wow, great to have you being so candid about the

0:30:07.280 --> 0:30:10.160
<v Speaker 3>money you're raising and evaluation currently at Congratulations on that

0:30:10.280 --> 0:30:13.400
<v Speaker 3>cognition AI CEO and co founder Scott wou Just great

0:30:13.400 --> 0:30:15.440
<v Speaker 3>to have him in the building. Meanwhile, coming up, we

0:30:15.520 --> 0:30:17.600
<v Speaker 3>turned to New York Tech Week for our VC Spotlight

0:30:17.680 --> 0:30:21.520
<v Speaker 3>Rebecca Caiden, Union Square Ventures with us talk about the

0:30:21.520 --> 0:30:23.000
<v Speaker 3>intersection of Web three in AI.

0:30:23.360 --> 0:30:30.600
<v Speaker 5>This is Bluebog Technology.

0:30:35.120 --> 0:30:37.520
<v Speaker 3>New York Tech Week is still underway right here in

0:30:37.520 --> 0:30:40.920
<v Speaker 3>the big Apple industry. Titans, startups gathering throughout the week

0:30:41.200 --> 0:30:44.240
<v Speaker 3>for events, for panels, conversations, a few rooftop drinks.

0:30:44.520 --> 0:30:45.120
<v Speaker 5>All week long.

0:30:45.120 --> 0:30:47.720
<v Speaker 3>Bluebog Technology has been speaking with these founders and investors.

0:30:47.800 --> 0:30:49.200
<v Speaker 5>Also, the executives.

0:30:48.680 --> 0:30:51.480
<v Speaker 3>Are really discussing how the tech ecosystem in New York

0:30:51.520 --> 0:30:53.680
<v Speaker 3>City is helping them, why they choose to call at home.

0:30:54.480 --> 0:30:57.040
<v Speaker 3>Let's turn our attention to Rebecca Caden, now managing partner

0:30:57.040 --> 0:30:58.080
<v Speaker 3>at Union Square Adventures.

0:30:58.200 --> 0:30:59.920
<v Speaker 5>Probably a little tired from some of.

0:30:59.920 --> 0:31:02.680
<v Speaker 3>The parties and various social events from back up, but

0:31:02.920 --> 0:31:05.760
<v Speaker 3>you've been front running this week but putting out some

0:31:05.760 --> 0:31:08.640
<v Speaker 3>thought leadership just where you're excited to be putting your

0:31:08.640 --> 0:31:10.120
<v Speaker 3>money to work over at us fee.

0:31:10.400 --> 0:31:12.920
<v Speaker 5>It seems to be the intersection of Web three and AI.

0:31:13.000 --> 0:31:15.120
<v Speaker 5>Can you talk us through it? Yeah?

0:31:15.120 --> 0:31:17.640
<v Speaker 15>I mean it's a super exciting time because we're seeing

0:31:17.840 --> 0:31:21.000
<v Speaker 15>two kind of tectonic plates of technology shift at the

0:31:21.000 --> 0:31:24.640
<v Speaker 15>same time, which almost never happens in AI and in

0:31:24.680 --> 0:31:27.920
<v Speaker 15>Web three and AI has massive promise on what it

0:31:27.960 --> 0:31:31.320
<v Speaker 15>can do, but it relies on a reorganization of data

0:31:31.840 --> 0:31:34.440
<v Speaker 15>and for its full promise to be met. We think

0:31:34.680 --> 0:31:37.400
<v Speaker 15>that will most happen if it has access to data

0:31:37.440 --> 0:31:40.440
<v Speaker 15>in new ways, and one of the most likely ways

0:31:40.480 --> 0:31:43.040
<v Speaker 15>that could happen is through a Web three architecture. If

0:31:43.080 --> 0:31:45.520
<v Speaker 15>you think about it, if we all own our own

0:31:45.640 --> 0:31:48.760
<v Speaker 15>data versus it being locked up in large platforms. As

0:31:48.840 --> 0:31:52.160
<v Speaker 15>new agents and exciting experiences were built on top of AI,

0:31:52.720 --> 0:31:55.000
<v Speaker 15>it could dip into our data wells, if you think

0:31:55.000 --> 0:31:58.160
<v Speaker 15>about it like that, reuse it and create these magical

0:31:58.240 --> 0:32:02.040
<v Speaker 15>personalized experiences. And we think both AI and Web three

0:32:02.080 --> 0:32:05.080
<v Speaker 15>on its own have massive potential to do very exciting things.

0:32:05.120 --> 0:32:07.880
<v Speaker 15>But the place where they intersect might create kind of

0:32:07.880 --> 0:32:09.800
<v Speaker 15>the most exciting new energy.

0:32:09.960 --> 0:32:13.400
<v Speaker 3>That feels I'm going to take some time, Rebecca, And

0:32:13.440 --> 0:32:15.880
<v Speaker 3>that's sort of the issue here. We will get the hype,

0:32:15.920 --> 0:32:19.080
<v Speaker 3>the evaluation, exuberance, the idea that we're at this cusp

0:32:19.120 --> 0:32:22.640
<v Speaker 3>of a new beginning to basically move to more of

0:32:22.640 --> 0:32:25.120
<v Speaker 3>a Web three architecture and to own our own data.

0:32:25.200 --> 0:32:26.640
<v Speaker 5>That's going to take some years.

0:32:26.480 --> 0:32:30.480
<v Speaker 15>Right, absolutely, I think, and both AI and Web three

0:32:30.520 --> 0:32:33.600
<v Speaker 15>we think will fundamentally change much of what we do,

0:32:33.720 --> 0:32:36.440
<v Speaker 15>particularly online or on chain, but both are on their

0:32:36.480 --> 0:32:39.960
<v Speaker 15>own timelines and will take time. That being said, they've

0:32:39.960 --> 0:32:42.520
<v Speaker 15>been being worked on for quite a long time. Neither

0:32:42.600 --> 0:32:45.560
<v Speaker 15>of them are brand new, and we think some pieces

0:32:45.640 --> 0:32:49.480
<v Speaker 15>are more likely or happening faster than they've ever had before.

0:32:49.520 --> 0:32:54.240
<v Speaker 15>If you think about the ability to send capital cross border,

0:32:54.720 --> 0:32:57.080
<v Speaker 15>Web three is enabling that in a way it really

0:32:57.080 --> 0:32:59.600
<v Speaker 15>hasn't been able to before. The ability to build on

0:32:59.640 --> 0:33:02.840
<v Speaker 15>top of that is really escalating, and certainly we're seeing

0:33:02.880 --> 0:33:05.600
<v Speaker 15>it in AI too. So yes, it's not going to

0:33:05.600 --> 0:33:08.160
<v Speaker 15>happen tomorrow, but the pace of change an opportunity here

0:33:08.240 --> 0:33:09.680
<v Speaker 15>is very high.

0:33:09.800 --> 0:33:12.680
<v Speaker 2>Hey, Rebecca Zad in San Francisco, can we just take

0:33:12.720 --> 0:33:15.280
<v Speaker 2>what what you've just explained and apply it to New

0:33:15.360 --> 0:33:18.320
<v Speaker 2>York for New York Tech Week, you know what's changed

0:33:18.320 --> 0:33:20.360
<v Speaker 2>for the city in that respect in the last twelve

0:33:20.400 --> 0:33:20.920
<v Speaker 2>months or so.

0:33:22.320 --> 0:33:22.520
<v Speaker 4>Yeah.

0:33:22.520 --> 0:33:25.080
<v Speaker 15>Look, I think New York is an extremely exciting place

0:33:25.120 --> 0:33:27.360
<v Speaker 15>to be building right now. New York has always been

0:33:27.400 --> 0:33:29.840
<v Speaker 15>an epicenter for Web three. Crypto has always found a

0:33:29.840 --> 0:33:32.880
<v Speaker 15>home here, but it's also a great place to build

0:33:32.920 --> 0:33:36.600
<v Speaker 15>when you're intersecting technology and industry when you're really talking

0:33:36.640 --> 0:33:39.160
<v Speaker 15>about the application layer, and that's really what we are

0:33:39.200 --> 0:33:42.080
<v Speaker 15>talking about here. We're talking about what can be built

0:33:42.120 --> 0:33:45.240
<v Speaker 15>on top of these new technologies versus the kind of

0:33:45.320 --> 0:33:48.280
<v Speaker 15>underlying technology itself. And New York is a center of

0:33:48.320 --> 0:33:50.560
<v Speaker 15>industry and so a lot of that is going to

0:33:50.600 --> 0:33:52.160
<v Speaker 15>happen here and we're really seeing it.

0:33:53.480 --> 0:33:55.960
<v Speaker 2>We were just speaking with Cognition Scott Wu and he

0:33:56.040 --> 0:33:58.120
<v Speaker 2>was explaining the most recent round they did, right one

0:33:58.200 --> 0:34:01.040
<v Speaker 2>hundred and seventy five million, I think he said at

0:34:01.080 --> 0:34:03.920
<v Speaker 2>a two billion dollar valuation, but that was basically like

0:34:04.480 --> 0:34:07.840
<v Speaker 2>their Series A or B. You know, what does that

0:34:07.880 --> 0:34:10.440
<v Speaker 2>tell you as an investor that's trying to occupy similar

0:34:10.440 --> 0:34:12.800
<v Speaker 2>spaces and write checks in that domain?

0:34:14.360 --> 0:34:16.760
<v Speaker 15>You know, I think what they are doing is amazing

0:34:16.760 --> 0:34:19.120
<v Speaker 15>and there are some really magical things being created. What

0:34:19.160 --> 0:34:23.880
<v Speaker 15>we're looking for is less the magic of technology itself,

0:34:24.320 --> 0:34:26.880
<v Speaker 15>but what it can do. I think increasingly we're in

0:34:26.920 --> 0:34:29.480
<v Speaker 15>a moment where we're really being wowed by tech, but

0:34:29.600 --> 0:34:32.960
<v Speaker 15>increasingly AI is going to be an ingredient versus the

0:34:33.000 --> 0:34:37.160
<v Speaker 15>whole dish. Right when you think about serving customers the

0:34:37.200 --> 0:34:41.399
<v Speaker 15>best healthcare or the optimal financial services, AI is going

0:34:41.440 --> 0:34:44.280
<v Speaker 15>to be a piece of how that is done versus

0:34:44.640 --> 0:34:47.040
<v Speaker 15>the thing itself, and that's where we get excited. And

0:34:47.080 --> 0:34:50.680
<v Speaker 15>I think as that evolves, it's going to create businesses

0:34:51.120 --> 0:34:54.279
<v Speaker 15>versus technology, and that will also kind of shift out

0:34:54.320 --> 0:34:56.000
<v Speaker 15>some of the valuations.

0:34:56.080 --> 0:34:59.719
<v Speaker 3>Just how competitive is it to be writing checks to

0:35:00.280 --> 0:35:03.239
<v Speaker 3>based companies right now? Or indeed do you do you

0:35:03.360 --> 0:35:06.959
<v Speaker 3>sort of agnostic as the way the startup is based.

0:35:06.600 --> 0:35:09.200
<v Speaker 5>And one of valuations more broadly looking like to.

0:35:09.120 --> 0:35:11.680
<v Speaker 15>You at the moment, we are agnostic to where the

0:35:11.719 --> 0:35:13.920
<v Speaker 15>companies are based. We love a New York company. We're

0:35:13.920 --> 0:35:17.080
<v Speaker 15>a New York based firm, and we are super proud

0:35:17.120 --> 0:35:19.279
<v Speaker 15>of what's going on in the ecosystem here. But our

0:35:19.320 --> 0:35:22.640
<v Speaker 15>portfolio is rather global and we're really looking for the

0:35:22.680 --> 0:35:27.640
<v Speaker 15>best opportunities that meet our thesis really all over, you know,

0:35:27.800 --> 0:35:29.200
<v Speaker 15>but a lot of them are happening in New York,

0:35:29.200 --> 0:35:32.440
<v Speaker 15>which is exciting. Evaluations are interesting. They're a little bit

0:35:32.440 --> 0:35:35.080
<v Speaker 15>of a tale of two cities. Right on one hand,

0:35:35.480 --> 0:35:39.200
<v Speaker 15>when you say AI, it's high priced and very buzzy,

0:35:39.960 --> 0:35:43.360
<v Speaker 15>but there's opportunities without that in the headline too that

0:35:43.440 --> 0:35:46.200
<v Speaker 15>are really exciting that we are seeing that we're capital

0:35:47.160 --> 0:35:51.520
<v Speaker 15>is less abundant and so I think it's just it's

0:35:51.560 --> 0:35:53.800
<v Speaker 15>not a steady market and there's a lot of variety

0:35:53.840 --> 0:35:55.880
<v Speaker 15>in it. I think AI is a piece of the

0:35:55.880 --> 0:35:58.319
<v Speaker 15>puzzle of innovation right now, but it isn't the whole thing.

0:35:59.480 --> 0:36:02.440
<v Speaker 2>Rebecca of Union Square Adventures have a great week for

0:36:02.480 --> 0:36:04.279
<v Speaker 2>New York Tech Week. Thank you very much for coming

0:36:04.280 --> 0:36:11.960
<v Speaker 2>on the program.

0:36:12.239 --> 0:36:16.320
<v Speaker 3>Revolt, so leading black owned operated multimedia platform, has just

0:36:16.360 --> 0:36:19.600
<v Speaker 3>announced a new ownership structure, which is now entirely owned

0:36:19.600 --> 0:36:20.680
<v Speaker 3>by its own employees.

0:36:21.120 --> 0:36:23.239
<v Speaker 5>Move comes after its founder and former.

0:36:23.000 --> 0:36:26.560
<v Speaker 3>Chair Sean Combs Diddy, as is known, sold his remaining

0:36:26.600 --> 0:36:30.160
<v Speaker 3>stake in the company amid mounting legal scrutiny. Joining us

0:36:30.200 --> 0:36:34.360
<v Speaker 3>now is Revolt CEO Detavio Samuels. This must have been emotional,

0:36:34.760 --> 0:36:38.040
<v Speaker 3>I can only imagine. And I'm interested in now being

0:36:38.040 --> 0:36:42.040
<v Speaker 3>completely separated, now being disassociated from Diddy.

0:36:42.920 --> 0:36:44.839
<v Speaker 5>What made you decide it was going to be employees

0:36:45.000 --> 0:36:46.080
<v Speaker 5>that should take his shares?

0:36:46.520 --> 0:36:50.320
<v Speaker 16>Yeah, if I'm being fully transparent, this idea of employee

0:36:50.320 --> 0:36:53.160
<v Speaker 16>ownership was a big idea I had coming into the

0:36:53.200 --> 0:36:56.440
<v Speaker 16>business back in twenty twenty. I'm a big believer in

0:36:56.480 --> 0:36:59.959
<v Speaker 16>this idea called linked prosperity, and I've told the team

0:37:00.120 --> 0:37:03.480
<v Speaker 16>since the very beginning that when Revolt wins, we all win,

0:37:04.080 --> 0:37:06.920
<v Speaker 16>and we have executed through that over the course of

0:37:06.960 --> 0:37:08.960
<v Speaker 16>the last four years and everything that we've done, So

0:37:09.000 --> 0:37:11.040
<v Speaker 16>if you want to talk about we've got some of

0:37:11.080 --> 0:37:13.480
<v Speaker 16>the biggest shows with the biggest creators in the world,

0:37:13.800 --> 0:37:17.880
<v Speaker 16>they all have upside participation. We've probably funded somewhere between

0:37:18.000 --> 0:37:21.279
<v Speaker 16>fifty to one hundred entrepreneurs, gave them capital with no

0:37:21.360 --> 0:37:24.640
<v Speaker 16>exchange of equity. And the years when Revolt has been thriving,

0:37:24.680 --> 0:37:26.880
<v Speaker 16>which we've had in amazing last three years, our employees

0:37:26.920 --> 0:37:29.520
<v Speaker 16>have seen the biggest bonuses that they've seen since the

0:37:29.520 --> 0:37:32.440
<v Speaker 16>company was created. And so for us, this was just

0:37:32.520 --> 0:37:34.719
<v Speaker 16>another way to not.

0:37:34.760 --> 0:37:37.120
<v Speaker 4>Just talk the talk, but walk the talk.

0:37:37.239 --> 0:37:39.480
<v Speaker 16>And make the people who give their blood, sweat and

0:37:39.520 --> 0:37:41.919
<v Speaker 16>tears and pour it into this company every single day.

0:37:42.239 --> 0:37:44.200
<v Speaker 16>The opportunity to build wealth.

0:37:45.280 --> 0:37:47.920
<v Speaker 3>Wealth is hard to come by, and media right now,

0:37:48.239 --> 0:37:49.160
<v Speaker 3>how are you doing that?

0:37:49.280 --> 0:37:49.360
<v Speaker 1>Like?

0:37:49.440 --> 0:37:51.080
<v Speaker 5>What is it? Where are the deals being struck?

0:37:51.080 --> 0:37:52.919
<v Speaker 3>Where is the money coming in for people to see

0:37:52.920 --> 0:37:54.000
<v Speaker 3>the upside of the secuity?

0:37:54.200 --> 0:37:56.640
<v Speaker 16>Sure, sure, sure the deals are going to come because

0:37:56.680 --> 0:38:01.279
<v Speaker 16>what we have created space where we believe that we

0:38:01.360 --> 0:38:05.040
<v Speaker 16>own this kind of youth culture opportunity. And so back

0:38:05.040 --> 0:38:06.759
<v Speaker 16>in the days, you've had people who are sat in

0:38:06.760 --> 0:38:10.680
<v Speaker 16>that seat. You've had great companies like a Complex, a

0:38:10.719 --> 0:38:14.080
<v Speaker 16>BuzzFeed of vice that was MTV, that was kind of

0:38:14.080 --> 0:38:14.920
<v Speaker 16>the old guard.

0:38:15.320 --> 0:38:16.200
<v Speaker 4>Today revolts.

0:38:16.320 --> 0:38:20.440
<v Speaker 16>It's squarely in that place. We own youth culture, dominate

0:38:20.480 --> 0:38:22.240
<v Speaker 16>with youth culture, and we do it through a black

0:38:22.239 --> 0:38:25.880
<v Speaker 16>owned lens. And as you know that for advertisers, youth culture,

0:38:26.239 --> 0:38:29.759
<v Speaker 16>that kind of hard to reach minority audience is a

0:38:29.920 --> 0:38:33.520
<v Speaker 16>massive base that they go after. And so in our work,

0:38:33.560 --> 0:38:35.279
<v Speaker 16>we've kind of built the killer app. We are the

0:38:35.320 --> 0:38:38.720
<v Speaker 16>connection to the culture. We connect brands directly to that audience.

0:38:38.880 --> 0:38:41.719
<v Speaker 16>We connect our affiliate partners directly to that audience. We

0:38:41.800 --> 0:38:43.759
<v Speaker 16>partner with the biggest brands in the world, from the

0:38:43.760 --> 0:38:46.319
<v Speaker 16>Walmarts to the Amazons, to the Targets, you name it.

0:38:46.600 --> 0:38:48.879
<v Speaker 16>And through that we believe we'll be able to take

0:38:48.920 --> 0:38:51.000
<v Speaker 16>this brand to what I'm hoping to be the next

0:38:51.000 --> 0:38:54.600
<v Speaker 16>Black Unicorn. It's time for another billion dollar black owned business.

0:38:55.760 --> 0:38:57.560
<v Speaker 4>Did Tavia good morning. Look.

0:38:57.760 --> 0:39:01.319
<v Speaker 2>In my career, I've covered this scenarios times where the

0:39:01.400 --> 0:39:05.040
<v Speaker 2>founder or figurehead of a company goes into crisis and

0:39:05.120 --> 0:39:08.480
<v Speaker 2>he leaves and the startup or company tries to move

0:39:08.560 --> 0:39:13.040
<v Speaker 2>past that move on, but in most cases thinking for example,

0:39:13.040 --> 0:39:15.600
<v Speaker 2>like the ev company Niklar I covered, the product remains

0:39:15.600 --> 0:39:17.799
<v Speaker 2>the same. Right, you guys want to do the same thing.

0:39:18.320 --> 0:39:19.920
<v Speaker 2>Do you feel like you're going to have to change

0:39:19.920 --> 0:39:22.640
<v Speaker 2>the offering or rethink any of the strategy or you

0:39:22.680 --> 0:39:24.319
<v Speaker 2>can just continue the way you are going.

0:39:25.200 --> 0:39:28.200
<v Speaker 16>No, I absolutely believe that we can continue the strategy

0:39:28.239 --> 0:39:30.440
<v Speaker 16>and the way that it is. We have said from

0:39:30.440 --> 0:39:32.239
<v Speaker 16>the beginning that the vision and the mission is not

0:39:32.280 --> 0:39:34.400
<v Speaker 16>going to change. We exist to shift in narrative for

0:39:34.440 --> 0:39:37.120
<v Speaker 16>black people globally. The need for that is not changed.

0:39:37.400 --> 0:39:37.880
<v Speaker 4>The mission.

0:39:37.920 --> 0:39:40.320
<v Speaker 16>How We're going to do that by building the world's largest,

0:39:40.560 --> 0:39:43.960
<v Speaker 16>most powerful black storytelling engine on the planet. That's not

0:39:44.000 --> 0:39:46.960
<v Speaker 16>going to change. And we do that by partnering with

0:39:47.000 --> 0:39:49.920
<v Speaker 16>some of the dopest creators who shape culture in the world.

0:39:50.160 --> 0:39:53.719
<v Speaker 16>That strategy is the perfect strategy for this moment. While

0:39:53.719 --> 0:39:58.759
<v Speaker 16>a lot of people might see the disassociates disassociation from

0:39:58.840 --> 0:40:02.920
<v Speaker 16>Sean Colmes as a big thing, our truth is Shawn

0:40:02.960 --> 0:40:05.040
<v Speaker 16>Holmes has never been involved in the day to day

0:40:05.120 --> 0:40:07.520
<v Speaker 16>since I've been there. So the team that you see,

0:40:07.600 --> 0:40:09.880
<v Speaker 16>the vision, you see the strategy that you see, all

0:40:09.880 --> 0:40:12.279
<v Speaker 16>the work that you see has been done by the

0:40:12.320 --> 0:40:16.640
<v Speaker 16>incredible management management team that's there and the incredible employee

0:40:16.680 --> 0:40:19.000
<v Speaker 16>base that's there. And so for us, there's no need

0:40:19.040 --> 0:40:20.880
<v Speaker 16>to change. It's just time for us to dream bigger

0:40:20.880 --> 0:40:21.680
<v Speaker 16>and dream blacker.

0:40:22.160 --> 0:40:24.759
<v Speaker 2>Okay, detail very I'd love to talk about the day

0:40:24.760 --> 0:40:27.520
<v Speaker 2>to day. So you're the CEO, but it's an employee

0:40:27.560 --> 0:40:28.600
<v Speaker 2>ownership structure.

0:40:29.000 --> 0:40:31.160
<v Speaker 4>Whose boss is who? Who reports to who?

0:40:32.239 --> 0:40:35.880
<v Speaker 16>Well, right now the company is being board managed. We

0:40:35.920 --> 0:40:39.560
<v Speaker 16>are minority controlled, and so I sit on the board.

0:40:39.560 --> 0:40:42.840
<v Speaker 16>There's the voice and as a representative for the company

0:40:42.840 --> 0:40:45.720
<v Speaker 16>and for the employees, making sure that whatever our needs are,

0:40:46.480 --> 0:40:49.200
<v Speaker 16>whatever our demands are, whatever our hopes and dreams are,

0:40:49.200 --> 0:40:51.680
<v Speaker 16>that those things are represented at the board level so

0:40:51.719 --> 0:40:53.600
<v Speaker 16>that we can get them done for our employees.

0:40:54.280 --> 0:40:57.480
<v Speaker 5>Tough question, how much did he get paid for the shows?

0:40:57.920 --> 0:41:00.839
<v Speaker 16>So you know we're a private company and so I'm

0:41:00.840 --> 0:41:02.600
<v Speaker 16>not allowed to disclose any of that.

0:41:03.760 --> 0:41:06.440
<v Speaker 3>There's going to be some reallocation obviously, you've got to

0:41:06.440 --> 0:41:08.920
<v Speaker 3>decide who gets what money as where they sit in

0:41:08.960 --> 0:41:13.239
<v Speaker 3>the corps structure. Getting real, this must have been an

0:41:13.239 --> 0:41:16.480
<v Speaker 3>incredibly difficult time for those working at revolt, and I'm

0:41:16.520 --> 0:41:20.240
<v Speaker 3>wondering how you've helped support those that work there, because

0:41:20.360 --> 0:41:22.160
<v Speaker 3>this has been tough for anyone who loved the music,

0:41:22.200 --> 0:41:25.279
<v Speaker 3>who love the culture, and indeed now feels associated in

0:41:25.280 --> 0:41:25.640
<v Speaker 3>some way.

0:41:25.800 --> 0:41:28.359
<v Speaker 16>Yeah, you one hundred percent right that the last six

0:41:28.440 --> 0:41:31.720
<v Speaker 16>months have not been easy for this team at all.

0:41:32.200 --> 0:41:34.440
<v Speaker 16>But what I would say is, I'm so proud of

0:41:34.480 --> 0:41:37.640
<v Speaker 16>this team. This is a team that is resilient, that

0:41:37.800 --> 0:41:41.319
<v Speaker 16>is committed, that is loyal, and what we have just

0:41:41.360 --> 0:41:43.920
<v Speaker 16>done is shown the entire world publicly that we are

0:41:43.960 --> 0:41:47.200
<v Speaker 16>battle tested. And so now I'm excited for this team

0:41:48.239 --> 0:41:51.000
<v Speaker 16>to show where the battle tested team can really really do.

0:41:51.440 --> 0:41:51.600
<v Speaker 4>Now.

0:41:51.640 --> 0:41:53.400
<v Speaker 16>Of course, along the way, we did the things that

0:41:53.400 --> 0:41:55.600
<v Speaker 16>we think you have to do as empathetic leaders to

0:41:55.600 --> 0:41:57.880
<v Speaker 16>take care of your teams, and this was you know,

0:41:57.960 --> 0:42:01.320
<v Speaker 16>regardless of whether this is a Sean Combs headlines allegations

0:42:01.400 --> 0:42:03.880
<v Speaker 16>crisis or whether it was something else, We're always going

0:42:03.960 --> 0:42:06.319
<v Speaker 16>to do what's best by our teams, and so whether

0:42:06.360 --> 0:42:08.960
<v Speaker 16>that means our ergs have gone into action to support

0:42:08.960 --> 0:42:11.160
<v Speaker 16>one another. There have been moments in times where we

0:42:11.200 --> 0:42:14.600
<v Speaker 16>have brought therapists in to do group therapy individual therapy.

0:42:15.280 --> 0:42:18.800
<v Speaker 16>The groups have gotten together to do wellness community events.

0:42:19.440 --> 0:42:22.080
<v Speaker 16>But this team is just stuck by each other, supporting

0:42:22.120 --> 0:42:22.960
<v Speaker 16>each other through it all.

0:42:23.000 --> 0:42:23.799
<v Speaker 5>And I just couldn't be.

0:42:23.840 --> 0:42:28.960
<v Speaker 16>More proud, more humbled, and more honored to lead this incredible,

0:42:29.000 --> 0:42:29.919
<v Speaker 16>amazing team at.

0:42:29.800 --> 0:42:33.719
<v Speaker 3>Revolve Daytavia, come back, tell us how the journey continues.

0:42:33.960 --> 0:42:38.400
<v Speaker 5>We appreciate it. Thank you, see Dytavio. Samuel's there meanwhile,

0:42:38.600 --> 0:42:39.399
<v Speaker 5>that does it for this.

0:42:39.520 --> 0:42:43.879
<v Speaker 3>Edition of Bloomberg Technology ed another wellwind of space meets valuations

0:42:43.960 --> 0:42:45.240
<v Speaker 3>meants corporate culture.

0:42:46.040 --> 0:42:50.799
<v Speaker 2>Yeah, it was cool like talking robotaxis, rockets, media, entertainment

0:42:50.880 --> 0:42:53.040
<v Speaker 2>and video always in video at the moment. You know,

0:42:53.080 --> 0:42:55.560
<v Speaker 2>it just shows how much momentum our world has got.

0:42:55.600 --> 0:42:58.240
<v Speaker 2>To recap everything on the podcast. You know exactly where

0:42:58.480 --> 0:43:02.400
<v Speaker 2>to find the pod Apples a fire, iHeart and all around.

0:43:02.200 --> 0:43:05.080
<v Speaker 4>The Bloomer verse, promesself in New York. This is Bloomberg

0:43:07.560 --> 0:43:07.880
<v Speaker 5>Mm hm