WEBVTT - Robotaxis Expand and Microsoft Gets Probed

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<v Speaker 1>From Marhart where Innovation, Money and power Collie in Silicon Valley, NBN.

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<v Speaker 1>This is Bloomberg Technology with Caroline Hide.

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<v Speaker 2>And Ed Lovelove, Iurmed Ludlow Here in San Francisco, Caroline

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<v Speaker 2>hides off today. This is Bloomberg Technology coming up on

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<v Speaker 2>the program. Robotaxis get a big win in San Francisco,

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<v Speaker 2>Crucio Carl Vote joins me live on set as regulators

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<v Speaker 2>votes to allow his company and Google's Weimo to truly

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<v Speaker 2>commercialize their tech here in SF and a Bloomberg exclusive,

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<v Speaker 2>a government probe into malicious attacks on cloud computing, including

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<v Speaker 2>Microsoft's role in suspected Chinese hacking of government officials. We

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<v Speaker 2>have the details, and the aviation sector is about to

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<v Speaker 2>hand passengers a five trillion dollar bill to fight its

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<v Speaker 2>next big threat, decarbonization. We have the Bloomberg Big Big

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<v Speaker 2>take all right, straight to our top story.

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<v Speaker 3>San Franciscan's get ready because you're.

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<v Speaker 2>About to see even more robotaxis on the streets. California

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<v Speaker 2>regulators just voted in favor of Waymo and Cruz expanding

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<v Speaker 2>their paid driverless services in the city.

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<v Speaker 3>It's a major.

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<v Speaker 2>Milestone towards commercializing the technology. The ruling came after hours

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<v Speaker 2>of public testimony with citizens arguing for and against the

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<v Speaker 2>expansion of the Robotaxi company's services.

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<v Speaker 3>The two companies can.

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<v Speaker 2>Now run full truly driverless commercial services, charging faares day

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<v Speaker 2>and night here in San Francisco.

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<v Speaker 3>The CEO of Cruz, Kyle Vote, joins me.

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<v Speaker 2>Now, Kyle, welcome to Bloomberg Technology. Thanks d How do

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<v Speaker 2>you operationalize this? Let's get right to it. It's gone

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<v Speaker 2>in your favor. What happens next?

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<v Speaker 3>What do you do well?

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<v Speaker 4>So it's a big year of scaling for us.

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<v Speaker 5>So over the past several months we've ramped up our

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<v Speaker 5>operations in a very measured and careful way as we

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<v Speaker 5>see the performance of these abs improve on the road.

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<v Speaker 5>And so the big difference with yesterday's permit, which is

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<v Speaker 5>the sixth one we've got in California, the final one

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<v Speaker 5>needed to commercialize our services. We can convert that service

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<v Speaker 5>from a pre service to a fared service. And so

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<v Speaker 5>it's a big milestone for not just us, but the

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<v Speaker 5>av industry, and I think a signal for you know,

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<v Speaker 5>California that we are going to prioritize progress versus accepting

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<v Speaker 5>the tragedy of the status quo on our roads today?

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<v Speaker 2>How strong is the signal? I tweeted or xed that

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<v Speaker 2>you're coming on the program. And actually, a really fair

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<v Speaker 2>question I got in response was why did the CPUC

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<v Speaker 2>just do San Francisco. Why not say to cruise or

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<v Speaker 2>weai moo have at it in Los Angeles, Sacramento, any

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<v Speaker 2>other city in the state.

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<v Speaker 4>That was actually at our direction.

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<v Speaker 5>What we've been working with regulators, you know, like I said,

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<v Speaker 5>for years now, and the very first time we went

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<v Speaker 5>to the CPUC for FARED service, it was for a

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<v Speaker 5>small region of San Francisco, a limited number of cars,

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<v Speaker 5>so we could you know, work with regulators and show

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<v Speaker 5>them that this technology was ready. And so this is

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<v Speaker 5>actually the second time we've gone for a farired permit,

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<v Speaker 5>and this is an expansion of that original permit, and

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<v Speaker 5>we'll do the same later this year or perhaps next

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<v Speaker 5>year when we expand into California and other cities in

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<v Speaker 5>the states.

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<v Speaker 2>So why is San Francisco, Why is this the place

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<v Speaker 2>to not just test the technology but commercialize the business.

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<v Speaker 5>Well, you know, candidate, like, we're based here in San Francisco,

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<v Speaker 5>so this is our home territory. But we see San

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<v Speaker 5>Francisco as a litmus test for the commercialization of robosaxies.

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<v Speaker 5>If they work in a city like San Francisco, where

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<v Speaker 5>we have high population density, you know, steep hills, heavy fog,

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<v Speaker 5>a lot of a lot of tricky construction and other things,

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<v Speaker 5>then that means it can work in many other cities

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<v Speaker 5>across similar cities across the US. And of course, you know,

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<v Speaker 5>from a business standpoint, these are the early days of

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<v Speaker 5>the technology.

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<v Speaker 4>These vehicles.

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<v Speaker 5>The first version is always more expensive than later ones,

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<v Speaker 5>and we want to start in cities where there's a

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<v Speaker 5>high willingness to pay. So we'll see us start in

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<v Speaker 5>some of the major cities before we work out into

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<v Speaker 5>into some of the other cities.

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<v Speaker 3>What about money in your pocket now?

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<v Speaker 2>You know, I know the weight list is in the

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<v Speaker 2>tens of thousands, so you are able to charge a

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<v Speaker 2>fair you on board the weight list? Does that bring

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<v Speaker 2>in sort of meaningful revenue for you guys, Because I'm

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<v Speaker 2>going to get into the history of your company a second,

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<v Speaker 2>but I am interested in how quick the impact of

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<v Speaker 2>being able to charge a fair is.

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<v Speaker 3>Well.

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<v Speaker 5>You know, you know today we're still operating in relatively

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<v Speaker 5>small scale. You know, it's gonna we have on the

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<v Speaker 5>awer of hundreds of vehicles, but up from you know,

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<v Speaker 5>fifty or so a year ago, and you're gonna see

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<v Speaker 5>that move into the thousands, you know, not not right away,

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<v Speaker 5>but over time, you know, across several cities that we're

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<v Speaker 5>operating in. But you know, the rate of expansion has

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<v Speaker 5>been pretty impressive. And this is not because we're going

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<v Speaker 5>you know, just going wild here. It's actually because the

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<v Speaker 5>av system itself is improving so quickly. That's one of

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<v Speaker 5>the most the remarkable things about AVIS compared to human

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<v Speaker 5>drivers is they can keep getting better over time and

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<v Speaker 5>even exponentially. And so even just a couple of weeks

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<v Speaker 5>ago on the and Earning scoll I said, we were

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<v Speaker 5>at about ten thousand rides per week. This last week

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<v Speaker 5>it was fifteen thousand. So we're seeing demand that's off

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<v Speaker 5>the charts, and I think that's going to lead to

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<v Speaker 5>you know, continued expansion in the near term.

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<v Speaker 2>You know, I talked about the history last night on

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<v Speaker 2>Bloombog Television. We aired an episode of the Circuit with

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<v Speaker 2>Emily Chang and she's sawing a Gary Tan about why Combinator.

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<v Speaker 2>You guys were why Combinator Class of Winter twenty fourteen.

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<v Speaker 4>I think that's right.

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<v Speaker 3>Nine years it's taking you to get to this point.

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<v Speaker 2>Is that fast progress or is that frustratingly slow progress.

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<v Speaker 5>Well, you know, building a car that can operate, you know,

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<v Speaker 5>better in many ways than a human driver is one

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<v Speaker 5>of the ultimate AI challenges and there's no shortcuts. And so,

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<v Speaker 5>you know, the first eight years of this tenure journey

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<v Speaker 5>was a grind. It's continuous improvement, improving the software to

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<v Speaker 5>the point we saw compelling evidence that this is going

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<v Speaker 5>to have a positive impact on road safety.

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<v Speaker 4>And so, unlike you know, other.

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<v Speaker 5>AI products, where you can launch a product out there

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<v Speaker 5>in the public as soon as it's kind of working,

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<v Speaker 5>in our case, that technology really had to be matured

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<v Speaker 5>and mid robust before we put it out there on

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<v Speaker 5>the roads.

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<v Speaker 4>And so it has been a ten year journey.

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<v Speaker 5>But we're really happy now that we're finally able to

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<v Speaker 5>put this out there and people are able to use

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<v Speaker 5>it and we're going to see you know, benefits and

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<v Speaker 5>road safety as a result.

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<v Speaker 2>Okay, so we're going to look at some pictures of

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<v Speaker 2>what are retrofitted customized Chevy Bolts driving around San Francisco.

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<v Speaker 2>It's also the case in other states like Arizona, Texas. Right,

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<v Speaker 2>A question I constantly get is why no New York City,

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<v Speaker 2>but also no China because there are Chinese players the

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<v Speaker 2>test in the Bay Area and in Chinese cities.

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<v Speaker 3>Could you answer those two please?

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<v Speaker 5>For New York in other cities, it's not a question

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<v Speaker 5>of if, but when. And you know this, this technology,

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<v Speaker 5>the way we've deployed is we make it work in

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<v Speaker 5>a defined environment and so in San Francisco you've got

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<v Speaker 5>fog and seapills, but you don't have you know, ice

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<v Speaker 5>or snow, and so that'll come and then the next

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<v Speaker 5>couple of years, and once we add that capability, we'll

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<v Speaker 5>be able to expand into some of the colder weather cities.

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<v Speaker 5>But that's not slowing our expansion today. I mean a

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<v Speaker 5>year ago we were at in one city, just operating

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<v Speaker 5>in San Francisco. As of today, we've announced seven or

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<v Speaker 5>eight eight cities that will be in eminently and so

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<v Speaker 5>you're going to see that rapid expansion, probably in the

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<v Speaker 5>Sun Belt, in the areas where the capabilities are a

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<v Speaker 5>match to what we see in those cities.

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<v Speaker 2>Let's talk about the future from the technology perspective and origin.

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<v Speaker 2>So right now, these are retrofitted or customized Chevy Bolts.

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<v Speaker 2>But you are designing and we're showing it right now.

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<v Speaker 2>A purpose built steering wheel lists seats inward facing shuttle. Okay,

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<v Speaker 2>where are we with that product?

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<v Speaker 5>Engineering is complete, you know, we're on the verge of

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<v Speaker 5>going into production. We expect some announcements on that in

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<v Speaker 5>the next few weeks. But the exciting thing about this

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<v Speaker 5>vehicle is it's the first time a car has been

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<v Speaker 5>built from the ground up for this robotaxi purpose. So

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<v Speaker 5>it lasts a lot longer than a regular car. It's

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<v Speaker 5>designed to be optimal for pool rides, so multiple people

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<v Speaker 5>sharing a vehicle because there's lots of space between them,

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<v Speaker 5>and the cost of it will be substantially lower than

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<v Speaker 5>the first generation of the technology. So I think the

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<v Speaker 5>cars on the road today feel like a car where

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<v Speaker 5>you've just removed the driver, you still see the steering

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<v Speaker 5>wheel moving around. The Origin feels like what a what

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<v Speaker 5>a driverless vehicle was meant to be, and that experience

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<v Speaker 5>that I think we've all perhaps been fantasizing about for years.

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<v Speaker 2>Can you just explain in simple terms how when production

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<v Speaker 2>starts you will deploy to the real world the Origin

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<v Speaker 2>against your existing infrastructure.

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<v Speaker 5>Yeah, so we've already been testing the Origin and again,

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<v Speaker 5>this car has no steering wheel, so without you know,

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<v Speaker 5>any safety driver or anyone behind the wheel in multiple cities.

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<v Speaker 5>And as it goes into production, you'll see us start

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<v Speaker 5>deploying those vehicles, you know, again in a gradual and

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<v Speaker 5>measured way across the existing you know, seven or eight

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<v Speaker 5>cities that we've announced, and then ramp up, you know,

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<v Speaker 5>the number of those vehicles each cities as we ramp

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<v Speaker 5>our production.

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<v Speaker 2>There is a fierce, fierce battle for talent right now,

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<v Speaker 2>broadly in the theater of artificial intelligence, but you know,

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<v Speaker 2>machine learning or neural networks is a big part of

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<v Speaker 2>what you guys do as well. What are your biggest

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<v Speaker 2>challenges right now from a cash perspective, from a talent

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<v Speaker 2>perspective that you've got left to tackle in twenty twenty three.

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<v Speaker 5>Well, we're very fortunate to have, you know, robust support

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<v Speaker 5>from General Motors that you know, Mary and her team

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<v Speaker 5>see this is you know, a key part of GM's future.

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<v Speaker 5>And so when we talk to candidates, we talk to

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<v Speaker 5>AI talent, they'd like to see that strong backing. But

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<v Speaker 5>also for many people there are a lot of AI

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<v Speaker 5>opportunities out there that are fun or interesting problems, but

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<v Speaker 5>many of them still feel like toys. When you work

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<v Speaker 5>on a self driving car that is having a real

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<v Speaker 5>impact affecting road safety today, and it's one of the

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<v Speaker 5>best ways.

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<v Speaker 4>That an AI engineer can spend their time in my opinion.

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<v Speaker 2>All Right, Kyle Vote, CEO of Cruise, a pretty big

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<v Speaker 2>moment for robotaxi or driver list technology. Here in SF,

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<v Speaker 2>a US Cybersecurity Advisory Panel will investigate malicious targeting of

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<v Speaker 2>cloud computing environments, including Microsoft's role in a recent breach

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<v Speaker 2>of government officials email accounts by suspected Chinese hackers that

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<v Speaker 2>according to the Department of Homeland Security. It also confirms

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<v Speaker 2>a report from Bloomberg News. Let's bring in our cybersecurity

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<v Speaker 2>editor who's been on this story, Andrew Martin. Andrew helped

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<v Speaker 2>me understand the basics here what is being looked at.

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<v Speaker 6>So the Biden administration created this cyber safety review panel

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<v Speaker 6>to look at major cybersecurity events after the fact to

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<v Speaker 6>try to figure out ways to prevent it from happening

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<v Speaker 6>in the future. And what they did here is following

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<v Speaker 6>a hack that was revealed in July that included a

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<v Speaker 6>bunch of US government email accounts, including Comerace Secretary Gina Romando.

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<v Speaker 6>They decided to look broadly at malicious attacks on cloud

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<v Speaker 6>security environment and also at a specific hack by suspected

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<v Speaker 6>Chinese hackers that got access to these email accounts.

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<v Speaker 2>Okay, let's go to Microsoft in their role in this story.

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<v Speaker 2>What have we learned about? What investigators are looking at

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<v Speaker 2>Microsoft's role in all this?

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<v Speaker 1>So what happened in this latest hack is that.

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<v Speaker 6>Is that these suspected Chinese hackers got what's known as

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<v Speaker 6>sort of an encryption key that allowed them to generate

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<v Speaker 6>authentication tokens, which basically allow allow them to.

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<v Speaker 1>Act as legitimate users.

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<v Speaker 6>In these systems and get access to email accounts. And

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<v Speaker 6>Senator Ron Wyden has wrote a letter last month asking

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<v Speaker 6>for US officials to investigate Microsoft's.

0:11:56.360 --> 0:11:56.800
<v Speaker 1>Role in this.

0:11:56.960 --> 0:12:00.480
<v Speaker 6>He accused them of negligent cybersecurity predices.

0:12:01.000 --> 0:12:04.000
<v Speaker 1>He also noted that Microsoft's products were.

0:12:05.320 --> 0:12:08.360
<v Speaker 6>Involved in the solar wind tech from a couple of

0:12:08.400 --> 0:12:12.199
<v Speaker 6>years ago. So he has broadly for an investigation of Microsoft.

0:12:12.679 --> 0:12:15.400
<v Speaker 1>This is this Cyber Safety.

0:12:15.040 --> 0:12:17.880
<v Speaker 6>Review Panel is looking more broadly at not just Microsoft,

0:12:17.960 --> 0:12:19.600
<v Speaker 6>but all cloud providers.

0:12:20.200 --> 0:12:23.200
<v Speaker 2>I think it's important that we kind of think about

0:12:23.240 --> 0:12:25.280
<v Speaker 2>what the agencies are saying. We have a statement from

0:12:25.320 --> 0:12:30.439
<v Speaker 2>the Secretary for Homeland Security, Alejandro Mayorcus who says organizations

0:12:30.440 --> 0:12:34.040
<v Speaker 2>of all kinds are increasingly reliant on cloud computing to

0:12:34.160 --> 0:12:37.079
<v Speaker 2>deliver services to the American people, which makes it imperative

0:12:37.480 --> 0:12:42.319
<v Speaker 2>that we understand the vulnerabilities of that technology. Do we

0:12:42.360 --> 0:12:46.800
<v Speaker 2>have a sense that they understand the vulnerabilities now, Andrew, No,

0:12:46.960 --> 0:12:47.560
<v Speaker 2>I think that's.

0:12:47.440 --> 0:12:50.560
<v Speaker 6>We're gonna They're going to try to figure out. You know,

0:12:51.000 --> 0:12:53.760
<v Speaker 6>cloud obviously has grown very rapidly in the last couple

0:12:53.800 --> 0:12:56.240
<v Speaker 6>of years. There has been a couple major attacks that

0:12:56.280 --> 0:12:59.360
<v Speaker 6>have exploited vulnerabilities in the cloud. So I think it

0:12:59.440 --> 0:13:01.280
<v Speaker 6>makes sense a sort of step back and try to

0:13:01.280 --> 0:13:01.960
<v Speaker 6>figure this out.

0:13:03.320 --> 0:13:06.480
<v Speaker 2>The thing that is interesting here is who in DC

0:13:06.720 --> 0:13:09.440
<v Speaker 2>looks at this stuff at any given moment. You know,

0:13:10.480 --> 0:13:13.760
<v Speaker 2>when you think about the departments investigating and probing, it's

0:13:13.800 --> 0:13:18.240
<v Speaker 2>a digital issue rather than I guess the national security issue.

0:13:18.360 --> 0:13:21.040
<v Speaker 2>Can you can you explain to us who has jurisdiction here?

0:13:23.200 --> 0:13:23.440
<v Speaker 7>Yes?

0:13:23.679 --> 0:13:25.760
<v Speaker 1>So, yes.

0:13:25.960 --> 0:13:31.319
<v Speaker 6>So there's an agency called the cyber Security and Infrastructure

0:13:31.360 --> 0:13:36.480
<v Speaker 6>Security Agency, which oversees sort of the defense of US

0:13:37.520 --> 0:13:42.600
<v Speaker 6>computer networks, so they provide a sort of protection against

0:13:42.600 --> 0:13:46.400
<v Speaker 6>the tax and intelligence to help for people who work

0:13:46.400 --> 0:13:48.000
<v Speaker 6>in those agencies.

0:13:49.679 --> 0:13:52.679
<v Speaker 1>Protect against the tax. The Cyber Safety.

0:13:52.360 --> 0:13:56.959
<v Speaker 6>Review Board is overseen by them their advisory in nature,

0:13:57.000 --> 0:14:00.240
<v Speaker 6>and again the purpose of them is not some much

0:14:00.240 --> 0:14:02.720
<v Speaker 6>to remend at tax, but to sort of after the

0:14:02.800 --> 0:14:06.160
<v Speaker 6>fact go back and say, Okay, here's what went wrong.

0:14:05.960 --> 0:14:07.920
<v Speaker 1>In this case, what can we do better in the

0:14:07.960 --> 0:14:08.480
<v Speaker 1>next time.

0:14:08.800 --> 0:14:13.600
<v Speaker 6>They've previously looked at log forge, which was the software

0:14:13.720 --> 0:14:14.640
<v Speaker 6>vulnerability that.

0:14:16.720 --> 0:14:18.480
<v Speaker 1>In open source software.

0:14:18.880 --> 0:14:21.320
<v Speaker 6>And they also looked at this hacking group called lapses,

0:14:22.400 --> 0:14:24.720
<v Speaker 6>which it hacked a bunch of technology companies that come

0:14:24.760 --> 0:14:30.200
<v Speaker 6>up with reports sort of recommending ways to prevent against

0:14:30.240 --> 0:14:30.600
<v Speaker 6>the tax.

0:14:30.640 --> 0:14:35.440
<v Speaker 2>Against that nature, all right, thanks to Bloomberg Cybersecurity editor

0:14:35.520 --> 0:14:39.760
<v Speaker 2>Andrew Martin, and again that story confirming a previous Bloomberg report.

0:14:40.160 --> 0:14:42.840
<v Speaker 2>Now coming up here on Bloomberg Technology, the cost.

0:14:42.600 --> 0:14:43.800
<v Speaker 3>Of flying green.

0:14:44.360 --> 0:14:47.400
<v Speaker 2>Why some airlines are planning to charge passengers for more

0:14:47.800 --> 0:14:51.520
<v Speaker 2>for flights in order to reduce their carbon emissions. It

0:14:51.640 --> 0:14:55.120
<v Speaker 2>is a big number big. We'll have the details next.

0:14:55.160 --> 0:14:59.400
<v Speaker 2>This is Bloomberg Technology.

0:15:01.600 --> 0:15:04.560
<v Speaker 8>The designated members of each House of Congress of the

0:15:04.600 --> 0:15:09.440
<v Speaker 8>appointment in February twenty eighteen, after being nominated by the

0:15:09.440 --> 0:15:13.080
<v Speaker 8>former president and confirmed by the Senate, mister Weiss was

0:15:13.120 --> 0:15:15.800
<v Speaker 8>sworn in as the United States Attorney for the District

0:15:15.840 --> 0:15:20.400
<v Speaker 8>of Delaware. Mister Weiss had been a career prosecutor, having

0:15:20.440 --> 0:15:23.720
<v Speaker 8>served previously in the office for more than a decade.

0:15:24.760 --> 0:15:28.080
<v Speaker 8>Beginning in twenty nineteen, mister Weiss, in his capacity as

0:15:28.200 --> 0:15:32.200
<v Speaker 8>US Attorney and along with federal law enforcement partners, began

0:15:32.320 --> 0:15:37.920
<v Speaker 8>investigating allegations of certain criminal conduct by, among others, Robert

0:15:38.080 --> 0:15:42.880
<v Speaker 8>Hunter Biden. That investigation has been recently referenced in federal

0:15:42.920 --> 0:15:46.720
<v Speaker 8>criminal proceedings in the District of Delaware, and as noted

0:15:46.720 --> 0:15:50.800
<v Speaker 8>in those proceedings and other public statements by mister Weiss's office,

0:15:51.080 --> 0:15:57.280
<v Speaker 8>that investigation remains ongoing. In February twenty twenty one, US

0:15:57.320 --> 0:16:00.240
<v Speaker 8>Attorney Weiss was asked to remain as US Attorney for

0:16:00.240 --> 0:16:04.240
<v Speaker 8>the District of Delaware and in that capacity to continue

0:16:04.280 --> 0:16:08.640
<v Speaker 8>to lead the investigation. As I said before, mister Weiss

0:16:08.640 --> 0:16:12.600
<v Speaker 8>would be permitted to continue his investigation, take any investigative

0:16:12.640 --> 0:16:16.120
<v Speaker 8>steps he wanted, and make the decision whether to prosecute

0:16:16.200 --> 0:16:20.760
<v Speaker 8>in any district. Mister Weiss has told Congress that he

0:16:20.920 --> 0:16:25.040
<v Speaker 8>has been granted ultimate authority over this matter, including the

0:16:25.080 --> 0:16:30.680
<v Speaker 8>responsibility for deciding where, when, and whether to file charges,

0:16:31.000 --> 0:16:34.320
<v Speaker 8>and for making decisions necessary to preserve the integrity of

0:16:34.360 --> 0:16:39.840
<v Speaker 8>any prosecution consistent with federal law, the principles of federal prosecution,

0:16:40.440 --> 0:16:45.400
<v Speaker 8>and departmental policies. In a July twenty twenty three letter

0:16:45.480 --> 0:16:48.920
<v Speaker 8>to Congress, mister Weiss said that he had not to

0:16:48.960 --> 0:16:55.120
<v Speaker 8>that point requested special Council designation. On Tuesday of this week,

0:16:55.560 --> 0:16:59.560
<v Speaker 8>mister Weiss advised me that, in his judgment, his investigation

0:16:59.680 --> 0:17:03.720
<v Speaker 8>had stage at which he should continue his work as

0:17:03.720 --> 0:17:07.080
<v Speaker 8>a Special Council, and he asked to be so appointed.

0:17:08.160 --> 0:17:12.280
<v Speaker 8>Upon considering his request, as well as the extraordinary circumstances

0:17:12.320 --> 0:17:15.679
<v Speaker 8>relating to this matter, I have concluded that it is

0:17:15.720 --> 0:17:18.919
<v Speaker 8>in the public interest to appoint him as Special Council

0:17:19.800 --> 0:17:23.640
<v Speaker 8>commitment to provide mister Weiss all the resources he requests.

0:17:24.240 --> 0:17:26.960
<v Speaker 8>It also reaffirms that mister Weiss has the authority he

0:17:27.080 --> 0:17:31.199
<v Speaker 8>needs to conduct a thorough investigation and to continue to

0:17:31.240 --> 0:17:35.480
<v Speaker 8>take the steps he deems appropriate independently based only on

0:17:35.520 --> 0:17:39.880
<v Speaker 8>the facts and the law. Mister Weiss will also continue

0:17:39.960 --> 0:17:42.600
<v Speaker 8>to serve as US Attorney for the District of Delaware

0:17:43.920 --> 0:17:46.960
<v Speaker 8>a Special Council, he will continue to have the authority

0:17:47.000 --> 0:17:51.399
<v Speaker 8>and responsibility that he has previously exercised to oversee the

0:17:51.400 --> 0:17:56.320
<v Speaker 8>investigation and decide where, when, and whether to file charges.

0:17:56.920 --> 0:17:59.359
<v Speaker 8>The Special Council will not be subject to the day

0:17:59.400 --> 0:18:03.320
<v Speaker 8>to day supervision of any official of the Department, but

0:18:03.440 --> 0:18:07.480
<v Speaker 8>he must comply with the regulations, procedures, and policies of

0:18:07.520 --> 0:18:12.439
<v Speaker 8>the Department consistent with the Special Council regulations. At the

0:18:12.480 --> 0:18:15.560
<v Speaker 8>conclusion of mister Weiss's work, he will provide me with

0:18:15.640 --> 0:18:20.800
<v Speaker 8>a report explaining the prosecution or declination decisions reached by him.

0:18:21.760 --> 0:18:24.520
<v Speaker 8>As with each Special Council who has served since I

0:18:24.560 --> 0:18:27.760
<v Speaker 8>have taken office, I am committed to making as much

0:18:27.760 --> 0:18:31.879
<v Speaker 8>of his report public as possible, consistent with legal requirements

0:18:31.920 --> 0:18:38.280
<v Speaker 8>and Department policy. Today's announcement affords the prosecutors, agents, and

0:18:38.359 --> 0:18:42.560
<v Speaker 8>analysts working on this matter the ability to proceed with

0:18:42.640 --> 0:18:48.280
<v Speaker 8>their work expeditiously and to make decisions indisputably guided only

0:18:48.440 --> 0:18:52.280
<v Speaker 8>by the facts and the law. The men and women

0:18:52.400 --> 0:18:57.480
<v Speaker 8>undertaking this investigation are public servants who have dedicated their

0:18:57.520 --> 0:19:02.600
<v Speaker 8>careers to protecting the citizens of this country. The appointment

0:19:02.600 --> 0:19:06.560
<v Speaker 8>of mister Weiss reinforces for the American people. The Department's

0:19:06.600 --> 0:19:12.800
<v Speaker 8>committed meant to both independence and accountability in particularly sensitive matters.

0:19:14.080 --> 0:19:16.879
<v Speaker 8>I am confident that mister Weiss will carry out his

0:19:17.000 --> 0:19:21.960
<v Speaker 8>responsibility in an even handed and urgent manner and in

0:19:22.000 --> 0:19:26.600
<v Speaker 8>accordance with the highest traditions of this department. Thank you.

0:19:27.520 --> 0:19:30.400
<v Speaker 1>If you was the joernal of Weiss, had the authorities needed.

0:19:30.640 --> 0:19:31.680
<v Speaker 3>You need to be a polution.

0:19:31.880 --> 0:19:35.440
<v Speaker 2>That was US Attorney General Garland speaking there the news

0:19:35.960 --> 0:19:39.639
<v Speaker 2>the Hunter Biden probe has been assigned a special council

0:19:39.720 --> 0:19:43.040
<v Speaker 2>by the Department of Justice. That special council the current

0:19:43.119 --> 0:19:46.080
<v Speaker 2>head of the probe David Weiss, who will be the

0:19:46.119 --> 0:19:48.800
<v Speaker 2>special council on the Hunter Biden probe. Let's head over

0:19:48.840 --> 0:19:51.639
<v Speaker 2>to Washington. Webloon both Katie Lions has more Kayley.

0:19:53.000 --> 0:19:56.080
<v Speaker 9>Well and as we just heard from the Attorney General,

0:19:56.240 --> 0:19:59.760
<v Speaker 9>David Weiss, the US District Attorney in Delaware since twenty

0:19:59.840 --> 0:20:04.320
<v Speaker 9>nine ten, has already been looking into criminal investigations against

0:20:04.480 --> 0:20:07.719
<v Speaker 9>Hunter Biden. Of course, President Joe Biden's son. He has

0:20:07.760 --> 0:20:11.640
<v Speaker 9>now been granted Special Council authority and under which, according

0:20:11.680 --> 0:20:14.600
<v Speaker 9>to Merrick Garland, the Attorney General. He will have full independence,

0:20:14.640 --> 0:20:16.440
<v Speaker 9>he will not be overseen on a day to day

0:20:16.480 --> 0:20:20.800
<v Speaker 9>basis by the Department of Justice as he continues this investigation.

0:20:20.920 --> 0:20:24.840
<v Speaker 9>It's important to note here earlier this summer, mister Weiss,

0:20:25.080 --> 0:20:27.680
<v Speaker 9>the district attorney there, was involved in that initial plea

0:20:27.720 --> 0:20:30.840
<v Speaker 9>agreement with Hunter Biden, where he was supposed to plead

0:20:30.880 --> 0:20:33.560
<v Speaker 9>guilty to two misdemeanor tax charges and in return could

0:20:33.600 --> 0:20:36.920
<v Speaker 9>have avoided prosecution on a separate gun related charge. That

0:20:37.160 --> 0:20:40.280
<v Speaker 9>plea deal had fallen apart in court. That is not

0:20:40.400 --> 0:20:43.439
<v Speaker 9>a completely resolved matter, and now going forward, mister Weiss

0:20:43.440 --> 0:20:46.800
<v Speaker 9>will have this special Council designated authority in the probe

0:20:46.880 --> 0:20:49.360
<v Speaker 9>of the President's son. It's important to keep in mind

0:20:49.440 --> 0:20:52.359
<v Speaker 9>here as well that a special counsel being appointed is

0:20:52.440 --> 0:20:56.600
<v Speaker 9>something that Republicans have been calling for for some time now,

0:20:56.600 --> 0:20:59.440
<v Speaker 9>and of course in Congress there are other separate, ongoing

0:20:59.480 --> 0:21:02.720
<v Speaker 9>investigations into the dealings, not just of Hunter Biden, but

0:21:02.800 --> 0:21:05.800
<v Speaker 9>how the President himself may have been involved. There was

0:21:05.800 --> 0:21:08.760
<v Speaker 9>a hearing just recently with Debon Archer, hunter Biden's former

0:21:08.800 --> 0:21:12.800
<v Speaker 9>business partner, before the House Oversight Committee, talking about phone

0:21:12.800 --> 0:21:15.080
<v Speaker 9>calls that the President may have been on with Hunter

0:21:15.440 --> 0:21:19.200
<v Speaker 9>simultaneously with business associates. So Congress is doing work here

0:21:19.240 --> 0:21:21.919
<v Speaker 9>and now again a special counsel, Mister Weiss, the District

0:21:21.960 --> 0:21:26.120
<v Speaker 9>attorney in Delaware, has also been given that special council designation.

0:21:26.800 --> 0:21:29.080
<v Speaker 2>All right, Bloombers k Lines in DC, thank you the

0:21:29.119 --> 0:21:31.360
<v Speaker 2>news that David Weiss, the current head of the Hunter

0:21:31.440 --> 0:21:34.480
<v Speaker 2>Biden probe, has been assigned as the special council by

0:21:34.720 --> 0:21:41.600
<v Speaker 2>the Department of Justice.

0:21:45.320 --> 0:21:46.760
<v Speaker 3>Welcome back to Bloomber Technology.

0:21:46.880 --> 0:21:50.280
<v Speaker 2>Ed Ludlow here in San Francisco, remainder Caroline Hyde is off.

0:21:50.320 --> 0:21:52.200
<v Speaker 3>I want to get a quick check on the markets.

0:21:51.840 --> 0:21:53.520
<v Speaker 2>And kind of how we ended the week and as

0:21:53.560 --> 0:21:56.800
<v Speaker 2>that one hundred over five days down again one point

0:21:56.840 --> 0:22:00.879
<v Speaker 2>seven percent as it stands, second consecutive weekly decline and

0:22:01.440 --> 0:22:04.080
<v Speaker 2>it's easy to forget, but this is the first back

0:22:04.119 --> 0:22:06.240
<v Speaker 2>to back weekly declines we've had on the Tech Heavy

0:22:06.240 --> 0:22:10.080
<v Speaker 2>index since December when we had four straight weeks of declines.

0:22:10.119 --> 0:22:12.400
<v Speaker 2>Earning season has been a really big part of the story.

0:22:12.920 --> 0:22:15.880
<v Speaker 2>But remember the USCPI print as well being a factor

0:22:16.320 --> 0:22:19.040
<v Speaker 2>markets trying to understand what the Fed might do next.

0:22:19.280 --> 0:22:22.640
<v Speaker 2>Remember higher rates impact the present value of future cash flows.

0:22:22.760 --> 0:22:23.440
<v Speaker 3>There's a lot.

0:22:23.280 --> 0:22:25.760
<v Speaker 2>Going on, But it is interesting to note back to

0:22:25.840 --> 0:22:28.800
<v Speaker 2>back weekly declines on the Nazak one hundred. We always

0:22:28.840 --> 0:22:31.800
<v Speaker 2>go to that index because it's so tech heavy from

0:22:31.800 --> 0:22:34.600
<v Speaker 2>the megacap perspective, which is a drag in Friday session

0:22:34.680 --> 0:22:37.919
<v Speaker 2>right through to higher multiple software names. One name we're

0:22:37.920 --> 0:22:41.359
<v Speaker 2>looking at in particular Alphabet, parent of Google. It's lower

0:22:41.440 --> 0:22:44.920
<v Speaker 2>during Friday session, but on a weekly basis has actually

0:22:45.000 --> 0:22:47.360
<v Speaker 2>fared a little bit better. What I want to talk

0:22:47.400 --> 0:22:53.480
<v Speaker 2>about next is Alphabet's big old pile of cash. The

0:22:53.520 --> 0:22:56.720
<v Speaker 2>Google parent generated nearly twenty nine billion dollars in cash

0:22:56.920 --> 0:23:00.240
<v Speaker 2>in the second quarter after cutting thousands of jobs and

0:23:00.280 --> 0:23:03.600
<v Speaker 2>its efforts to staunch losses in its various moonshot projects.

0:23:03.840 --> 0:23:06.520
<v Speaker 2>But the Google parent now has about one hundred and

0:23:06.560 --> 0:23:10.800
<v Speaker 2>eighteen billion dollars in cash and short term market world securities,

0:23:11.080 --> 0:23:14.240
<v Speaker 2>more than any other company on the Nazak one hundred.

0:23:13.960 --> 0:23:15.680
<v Speaker 3>Apart from Apple.

0:23:15.960 --> 0:23:18.439
<v Speaker 2>But unlike Apple, which aims to give back most of

0:23:18.480 --> 0:23:22.040
<v Speaker 2>its cash to shareholders, Alphabet does not have a well

0:23:22.040 --> 0:23:26.920
<v Speaker 2>defined capital return strategy. So investors really right now seeking

0:23:26.960 --> 0:23:30.000
<v Speaker 2>more details on its plans, and we'll ask we'll try

0:23:30.000 --> 0:23:32.280
<v Speaker 2>to get those answers for you now from.

0:23:32.080 --> 0:23:34.040
<v Speaker 3>Big tech to little tech.

0:23:34.400 --> 0:23:37.360
<v Speaker 2>We know Google's going big on AI, as is Microsoft

0:23:37.480 --> 0:23:39.679
<v Speaker 2>are the big names, but it isn't just about the

0:23:39.720 --> 0:23:43.560
<v Speaker 2>megacaps or the giants. Take mid Journey as an example.

0:23:43.600 --> 0:23:47.359
<v Speaker 2>It's an independent research lab that's been experimenting with AI

0:23:47.760 --> 0:23:51.960
<v Speaker 2>and can generate images using AI. It's the subject of

0:23:51.960 --> 0:23:56.800
<v Speaker 2>today's Bloomberg Tech Daily newsletter, and its author, Bloomberg's Davily

0:23:56.800 --> 0:23:59.480
<v Speaker 2>Album joins me. Now this is interesting, Like you and

0:23:59.520 --> 0:24:03.560
<v Speaker 2>I interact with so many of the AI companies that

0:24:03.600 --> 0:24:07.760
<v Speaker 2>are developing a generative AI tool. We interact with their apps,

0:24:07.760 --> 0:24:11.520
<v Speaker 2>their technology. Why you've been writing about about this particular

0:24:11.640 --> 0:24:12.520
<v Speaker 2>name in the newsletter.

0:24:13.680 --> 0:24:16.840
<v Speaker 7>Yeah, hey, Ed, it's good to be here. You know,

0:24:17.000 --> 0:24:20.800
<v Speaker 7>I think that mid Journey, which you know has been

0:24:20.880 --> 0:24:26.199
<v Speaker 7>floating around the name if you recall that viral image

0:24:26.400 --> 0:24:28.800
<v Speaker 7>of the Pope and a puffer jacket that was actually

0:24:29.200 --> 0:24:32.399
<v Speaker 7>created by mid Journey. It's one of the biggest AI

0:24:32.680 --> 0:24:37.280
<v Speaker 7>image generating apps and is only.

0:24:37.240 --> 0:24:37.960
<v Speaker 1>Sort of.

0:24:39.720 --> 0:24:42.320
<v Speaker 7>If you think about the three biggest ones, it would

0:24:42.359 --> 0:24:48.760
<v Speaker 7>be mid Journey, Open AIS, Dolly, and Stability AIS Stable Diffusion.

0:24:49.359 --> 0:24:53.200
<v Speaker 7>So this is, you know, one of the most popular

0:24:53.560 --> 0:24:57.359
<v Speaker 7>and actually according to this research, is currently the most

0:24:57.440 --> 0:25:01.879
<v Speaker 7>popular image generating app that out there, and it's concerning

0:25:01.960 --> 0:25:04.080
<v Speaker 7>that it can be easily tricked.

0:25:05.240 --> 0:25:08.760
<v Speaker 2>Okay, so the most popular names mid Journey, Stable Diffusion,

0:25:08.760 --> 0:25:11.879
<v Speaker 2>and of course open Aiyes, Dolli all very familiar to

0:25:11.960 --> 0:25:13.440
<v Speaker 2>us here on Bloomberg Technology.

0:25:13.920 --> 0:25:14.680
<v Speaker 3>There's something in.

0:25:14.560 --> 0:25:17.320
<v Speaker 2>Your writing that really jumps out though, that you consider

0:25:17.400 --> 0:25:21.240
<v Speaker 2>mid Journey and we think about standards content moderation. Is

0:25:21.280 --> 0:25:23.320
<v Speaker 2>it fair to say that mid Journey has the most

0:25:23.800 --> 0:25:27.320
<v Speaker 2>flexible standards of those three?

0:25:27.680 --> 0:25:30.199
<v Speaker 7>At least according to this report, it seems to be

0:25:30.280 --> 0:25:35.520
<v Speaker 7>the case. Researchers from the Center for Countering Digital Hate

0:25:36.359 --> 0:25:41.080
<v Speaker 7>showed an early report, shared it with us exclusively, and

0:25:41.240 --> 0:25:46.040
<v Speaker 7>they found one hundred examples where mid Journey's bot was

0:25:46.119 --> 0:25:52.159
<v Speaker 7>easily tricked into creating conspiratorial images where they showed, you know,

0:25:52.320 --> 0:25:59.159
<v Speaker 7>prompts where people were ordering up these images of politicians

0:25:59.440 --> 0:26:04.760
<v Speaker 7>in comproming situations and events that never happened, and mid

0:26:04.800 --> 0:26:11.439
<v Speaker 7>Journey easily delivered the images. There are some guardrails like

0:26:11.560 --> 0:26:15.280
<v Speaker 7>mid Journey will not, for instance, generate an image if

0:26:15.320 --> 0:26:19.640
<v Speaker 7>you have certain keywords like blood or you know, anything

0:26:19.680 --> 0:26:21.600
<v Speaker 7>referring to gore or violence.

0:26:22.320 --> 0:26:24.679
<v Speaker 3>But it's so easy to trick it.

0:26:25.520 --> 0:26:28.320
<v Speaker 7>One example that we talk about in the newsletter is

0:26:28.400 --> 0:26:31.200
<v Speaker 7>you could ask it to generate an image of say,

0:26:31.480 --> 0:26:35.280
<v Speaker 7>Bill and Hillary Clinton with their hands covered in strawberry syrup,

0:26:35.520 --> 0:26:37.960
<v Speaker 7>so that kind of makes it look like they have.

0:26:37.920 --> 0:26:39.320
<v Speaker 1>Literal blood on their hands.

0:26:39.320 --> 0:26:42.080
<v Speaker 7>And researchers are really worried about this ahead of twenty

0:26:42.119 --> 0:26:44.359
<v Speaker 7>twenty four in the US presidential election.

0:26:45.400 --> 0:26:48.680
<v Speaker 2>So we've covered such wide ranging issues here on BTech

0:26:48.800 --> 0:26:54.720
<v Speaker 2>about the text to image issue, biases, or you know,

0:26:55.600 --> 0:26:58.080
<v Speaker 2>a result that is not what you intended. Let's be

0:26:58.200 --> 0:27:00.679
<v Speaker 2>fair here and say what have made Journey had to

0:27:00.720 --> 0:27:04.680
<v Speaker 2>say about this? What is their response to the reporting

0:27:04.720 --> 0:27:05.639
<v Speaker 2>on their standards.

0:27:06.800 --> 0:27:11.320
<v Speaker 7>So they didn't actually send us a response on the record,

0:27:11.760 --> 0:27:14.119
<v Speaker 7>but it has said in the past that it has

0:27:14.480 --> 0:27:20.440
<v Speaker 7>dozens of moderators and guides that look at the content

0:27:20.760 --> 0:27:25.320
<v Speaker 7>on their discord chat app that is the main interface

0:27:25.440 --> 0:27:28.840
<v Speaker 7>that mid Journey uses to interact with its users, and

0:27:28.880 --> 0:27:33.240
<v Speaker 7>they say that these folks sixty eight content moderators sort

0:27:33.280 --> 0:27:35.800
<v Speaker 7>of scour the chat and make sure that all the

0:27:35.880 --> 0:27:40.919
<v Speaker 7>requests are above board, but it seems like they're letting

0:27:41.000 --> 0:27:45.280
<v Speaker 7>some requests go straight through still and beyond that there's

0:27:45.560 --> 0:27:50.680
<v Speaker 7>sort of automatic algorithmic AI that checks on the requests,

0:27:51.000 --> 0:27:53.800
<v Speaker 7>usually using text matching to make.

0:27:53.680 --> 0:27:56.440
<v Speaker 3>Sure that certain terms for instance.

0:27:56.320 --> 0:28:01.560
<v Speaker 7>Again about violence and gore aren't creating images, but again

0:28:01.600 --> 0:28:03.080
<v Speaker 7>those are easily circumpanded.

0:28:04.119 --> 0:28:07.160
<v Speaker 2>Bloomberg's Davy Alba with the Bloomberg Technology Daily, I really

0:28:07.240 --> 0:28:09.520
<v Speaker 2>encourage our audience go out find it on Bloomberg dot

0:28:09.520 --> 0:28:11.359
<v Speaker 2>com and in the newsletter format.

0:28:11.359 --> 0:28:12.080
<v Speaker 3>Thank you so much.

0:28:12.160 --> 0:28:14.359
<v Speaker 2>Now, coming up here on the show, we'll talk about

0:28:14.480 --> 0:28:18.800
<v Speaker 2>the state of AI development and adoption, but particularly in enterprise.

0:28:18.880 --> 0:28:22.680
<v Speaker 2>That's with Insight Partners Managing Director Lonny Jaffie.

0:28:22.720 --> 0:28:41.360
<v Speaker 3>That's next. This is Bloomberg All right.

0:28:41.400 --> 0:28:44.320
<v Speaker 2>Time for today is VC Spotlight. Let's talk about cybersecurity

0:28:44.360 --> 0:28:48.200
<v Speaker 2>and AI. Insite Partners recently released it's State of the

0:28:48.400 --> 0:28:51.520
<v Speaker 2>Enterprise report where they break down what the future of

0:28:51.640 --> 0:28:55.680
<v Speaker 2>enterprise adoption and tailwinds in development of AI technology looks like.

0:28:56.120 --> 0:28:59.400
<v Speaker 2>Managing Director Lonnie Jaffee joins us now for more here

0:28:59.400 --> 0:29:03.040
<v Speaker 2>on Bloomberg Achnologies. So much of our audience either works

0:29:03.120 --> 0:29:07.280
<v Speaker 2>for or is a customer of enterprise cloud Enterprise SaaS.

0:29:07.520 --> 0:29:11.840
<v Speaker 2>They're thinking heavily about how the developments that are happening

0:29:11.920 --> 0:29:14.760
<v Speaker 2>right now in AI impact their core business or how

0:29:14.760 --> 0:29:17.080
<v Speaker 2>they use AI. Just give me sort of the key

0:29:17.120 --> 0:29:19.920
<v Speaker 2>takeaways from the report that you published very.

0:29:19.800 --> 0:29:25.200
<v Speaker 10>Recently, right, so, the Inside Partner's State of Enterprise Tech Report.

0:29:25.320 --> 0:29:27.920
<v Speaker 10>This is a study that reached out to about three

0:29:28.000 --> 0:29:31.480
<v Speaker 10>hundred senior technologists at some of the world's largest companies,

0:29:31.600 --> 0:29:34.520
<v Speaker 10>so seventy percent of them generate more than ten billion

0:29:34.640 --> 0:29:37.320
<v Speaker 10>or so in annual revenue. And there's a free download

0:29:37.360 --> 0:29:39.360
<v Speaker 10>from our website and has a lot of interesting data

0:29:39.400 --> 0:29:43.200
<v Speaker 10>points around spending plans and strategy and areas like cybersecurity

0:29:43.240 --> 0:29:47.640
<v Speaker 10>and generative AI. Cybersecurity is obviously a big focus. One

0:29:48.000 --> 0:29:51.520
<v Speaker 10>newer concern we're hearing from bigger companies and governments as

0:29:51.560 --> 0:29:54.760
<v Speaker 10>well is around the possibility that we'll see a wave

0:29:55.040 --> 0:29:59.280
<v Speaker 10>of generative AI upgraded cyber attacks. For example, something like

0:29:59.360 --> 0:30:02.280
<v Speaker 10>ransomware much smarter because it's powered by something like a

0:30:02.320 --> 0:30:06.760
<v Speaker 10>large language model things. We actually launched a two weeks

0:30:06.920 --> 0:30:10.880
<v Speaker 10>compression called the AI Cyber Challenge. This is led by

0:30:10.920 --> 0:30:13.840
<v Speaker 10>DARPA working with companies like Anthropic and Google, Microsoft and

0:30:13.880 --> 0:30:17.560
<v Speaker 10>open Ai, which will have teams competing to identify and

0:30:17.560 --> 0:30:19.600
<v Speaker 10>fix software vulnerabilities using AI.

0:30:21.040 --> 0:30:22.680
<v Speaker 3>Lonnie, sorry didn't mean to jump in on you there.

0:30:22.720 --> 0:30:25.000
<v Speaker 2>I just want to say on this show, when we

0:30:25.040 --> 0:30:28.800
<v Speaker 2>talk in the cybersecurity context, so many people saying that

0:30:28.920 --> 0:30:31.080
<v Speaker 2>the tools that we all have and you guys in

0:30:31.120 --> 0:30:35.080
<v Speaker 2>your industry will have the threat actors have them as well. Ultimately,

0:30:35.120 --> 0:30:39.320
<v Speaker 2>you're a VC, So I'm interested why Insight actually publishes

0:30:39.360 --> 0:30:39.960
<v Speaker 2>this report.

0:30:40.240 --> 0:30:41.680
<v Speaker 3>What do you guys get out of it.

0:30:43.440 --> 0:30:46.840
<v Speaker 10>We have a program called Insight on Site and it's

0:30:46.960 --> 0:30:51.320
<v Speaker 10>generally trying to help support our portfolio companies with an

0:30:51.440 --> 0:30:53.400
<v Speaker 10>enormous amount of resource. So it's one hundred and twenty

0:30:53.400 --> 0:30:56.960
<v Speaker 10>full time people who help with things like product strategy

0:30:57.000 --> 0:30:59.560
<v Speaker 10>and marketing and sales. And there's a part of the

0:30:59.560 --> 0:31:02.960
<v Speaker 10>team Calledgnite that manages relationships with buyers at large multinational

0:31:03.040 --> 0:31:04.880
<v Speaker 10>corporations and so this is a great way to stay

0:31:04.880 --> 0:31:07.600
<v Speaker 10>in contact with them, and it helps our companies scale

0:31:07.760 --> 0:31:12.680
<v Speaker 10>and also meet potential customers and partners and even acquirers.

0:31:12.760 --> 0:31:12.840
<v Speaker 3>Right.

0:31:12.920 --> 0:31:16.400
<v Speaker 10>So, this week it was announced that Checkpoint will acquire

0:31:16.480 --> 0:31:19.000
<v Speaker 10>our portfolio company Perimetery v one, which allows you to

0:31:19.040 --> 0:31:22.760
<v Speaker 10>build a secure virtual corporate network over the Internet for

0:31:22.880 --> 0:31:26.160
<v Speaker 10>about four hundred and ninety million dollars, and Rubric this

0:31:26.160 --> 0:31:28.400
<v Speaker 10>week also announced that it signed an agreement to acquire

0:31:28.400 --> 0:31:31.480
<v Speaker 10>our portfolio company, Laminar, which is a leader in cybersecurity

0:31:31.480 --> 0:31:33.760
<v Speaker 10>for data and use. So these are both deep tech

0:31:33.840 --> 0:31:37.880
<v Speaker 10>Israeli cybersecurity startups, and you know, when the companies are

0:31:37.880 --> 0:31:40.640
<v Speaker 10>relatively small and growing rapidly, that kind of connectness with

0:31:40.680 --> 0:31:43.240
<v Speaker 10>buyers can be really helpful to them.

0:31:43.640 --> 0:31:45.240
<v Speaker 2>Lottie, I want to jump on something you just said

0:31:45.280 --> 0:31:48.200
<v Speaker 2>there about Israeli tech. I know you guys have offices

0:31:48.200 --> 0:31:50.560
<v Speaker 2>in Tel Aviv. One of the big stories of the

0:31:50.600 --> 0:31:56.360
<v Speaker 2>week has been VC's attitude towards the country, given the societal,

0:31:57.040 --> 0:32:01.520
<v Speaker 2>judicial and political considerations happening there. How do you view

0:32:01.600 --> 0:32:04.000
<v Speaker 2>Israeli tech right now? Are you pulling back or are

0:32:04.040 --> 0:32:08.400
<v Speaker 2>you still interested, particularly in cybersecurity. You know, cybersecurity has

0:32:08.440 --> 0:32:11.200
<v Speaker 2>been one of the main stay offerings out of Israel.

0:32:12.720 --> 0:32:14.920
<v Speaker 10>Yeah, the cybersecurity talent there is amazing.

0:32:16.040 --> 0:32:16.440
<v Speaker 3>You know.

0:32:16.280 --> 0:32:19.280
<v Speaker 10>You see there's a we're based in New York City

0:32:19.280 --> 0:32:21.680
<v Speaker 10>and there's a pretty close connectedness between the New York

0:32:21.720 --> 0:32:25.400
<v Speaker 10>City tech scene and the one in Tel Aviv. There's

0:32:25.440 --> 0:32:27.840
<v Speaker 10>a lot of companies when they land in the US,

0:32:27.920 --> 0:32:30.160
<v Speaker 10>and this is true for Europe as well, they'll pick

0:32:30.240 --> 0:32:32.600
<v Speaker 10>New York City as their landing place. There were a

0:32:32.640 --> 0:32:35.720
<v Speaker 10>few initial companies like Mango, dB and Data Dog and

0:32:35.760 --> 0:32:37.760
<v Speaker 10>others that were you know, big prove that you could

0:32:37.800 --> 0:32:40.840
<v Speaker 10>scale a massive infrastructure software company in Manhattan, and so

0:32:40.880 --> 0:32:43.480
<v Speaker 10>that was a big early part of our interest in

0:32:43.480 --> 0:32:46.520
<v Speaker 10>the country. We're now the largest investor by both deal

0:32:46.600 --> 0:32:50.440
<v Speaker 10>count and dollars and technology companies there. And you know,

0:32:50.840 --> 0:32:54.479
<v Speaker 10>we're actually very helpful to the Israeli companies as they

0:32:54.480 --> 0:32:57.040
<v Speaker 10>start to scale up, because they need to start scaling

0:32:57.120 --> 0:33:00.240
<v Speaker 10>up internationally pretty much right away, and we have a

0:33:00.240 --> 0:33:03.160
<v Speaker 10>lot of expertise around global scale out, you know, hiring

0:33:03.200 --> 0:33:06.480
<v Speaker 10>sales leaders, opening up your first international office, things like that.

0:33:07.160 --> 0:33:08.560
<v Speaker 3>Let's go back to you personally.

0:33:08.920 --> 0:33:12.080
<v Speaker 2>You know, you add a decade IBM, now you're in

0:33:12.680 --> 0:33:13.600
<v Speaker 2>the VC role.

0:33:14.120 --> 0:33:15.760
<v Speaker 3>How do you find the next IBM?

0:33:16.080 --> 0:33:18.960
<v Speaker 2>You know, in this environment such a heavy focus on AI,

0:33:19.640 --> 0:33:20.800
<v Speaker 2>what are you seeing out there?

0:33:22.400 --> 0:33:25.080
<v Speaker 10>Yeah, we're still only a real like about a few

0:33:25.120 --> 0:33:27.920
<v Speaker 10>months into it with the generative AI capabilities, but there

0:33:27.960 --> 0:33:31.560
<v Speaker 10>seem to be some early important differences starting to show

0:33:31.640 --> 0:33:34.800
<v Speaker 10>up when compared to the prior generations of AI. The

0:33:35.000 --> 0:33:38.120
<v Speaker 10>AI prediction systems like the recommendation engines or the computer

0:33:38.200 --> 0:33:42.240
<v Speaker 10>vision classification systems in domains like healthcare, like our portfolio

0:33:42.320 --> 0:33:44.960
<v Speaker 10>company Iterative Health, which can use computer vision to find

0:33:45.000 --> 0:33:47.960
<v Speaker 10>cancerous polyps from a cool anascope video. These took a

0:33:48.000 --> 0:33:51.200
<v Speaker 10>lot of time, effort, and resources to build. They needed

0:33:51.320 --> 0:33:56.280
<v Speaker 10>big teams of very expensive engineers, complex data pipelines, lots

0:33:56.280 --> 0:33:59.600
<v Speaker 10>of training and feedback data. But with the new wave

0:33:59.640 --> 0:34:02.280
<v Speaker 10>of general to AI, at least so far, many companies,

0:34:02.880 --> 0:34:06.000
<v Speaker 10>especially you're seeing this with incumbent software vendors and even

0:34:06.080 --> 0:34:09.640
<v Speaker 10>end customers have been able to build and ship generative

0:34:09.680 --> 0:34:12.800
<v Speaker 10>AI products extremely quickly. You know, some have actually released

0:34:12.800 --> 0:34:15.480
<v Speaker 10>things already this year, even though it's only been a

0:34:15.560 --> 0:34:19.720
<v Speaker 10>few months. And then they're able to give these language

0:34:19.719 --> 0:34:23.360
<v Speaker 10>model or image generation capabilities access to their massive you know,

0:34:23.520 --> 0:34:24.600
<v Speaker 10>hundreds of millions.

0:34:24.280 --> 0:34:26.040
<v Speaker 3>Of existing users, existing distribution.

0:34:27.320 --> 0:34:29.920
<v Speaker 10>And so what we've been doing is working with our

0:34:29.920 --> 0:34:33.120
<v Speaker 10>portfolio companies like Atlin, for example, which is one of

0:34:33.160 --> 0:34:37.040
<v Speaker 10>our better modern data stack portfolio companies that's going through

0:34:37.160 --> 0:34:40.600
<v Speaker 10>really rapid growth and helping them figure out, Okay, so

0:34:40.680 --> 0:34:43.680
<v Speaker 10>you can build a generative AI capability and then you

0:34:43.719 --> 0:34:45.759
<v Speaker 10>can light it up to all of your users and

0:34:45.800 --> 0:34:48.600
<v Speaker 10>it can use your product and in a way it's

0:34:48.600 --> 0:34:50.719
<v Speaker 10>sort of a startup because it's within you know, it's

0:34:50.719 --> 0:34:53.319
<v Speaker 10>a new capability and it can do something really media

0:34:53.360 --> 0:34:55.200
<v Speaker 10>and substantives, like in the case of atline, it can

0:34:55.200 --> 0:34:58.000
<v Speaker 10>do interactive Q and A with all of your enterprise data.

0:34:58.160 --> 0:35:00.680
<v Speaker 10>You can ask it a question like you know, which

0:35:00.680 --> 0:35:03.000
<v Speaker 10>of my sales reps is most productive this month, and

0:35:03.040 --> 0:35:05.240
<v Speaker 10>it can go figure out across the catalog.

0:35:05.040 --> 0:35:06.360
<v Speaker 3>You know how to answer that question.

0:35:07.600 --> 0:35:10.160
<v Speaker 10>And our companies are able to get these impressive generative

0:35:10.400 --> 0:35:12.560
<v Speaker 10>AI capabilities out the door in just a few months.

0:35:13.200 --> 0:35:15.000
<v Speaker 10>So it does kind of tilt the balance of power

0:35:15.040 --> 0:35:19.000
<v Speaker 10>a little bit between from startups to incumbents. But there

0:35:19.040 --> 0:35:21.520
<v Speaker 10>are there are a few really interesting startup categories that

0:35:21.560 --> 0:35:26.000
<v Speaker 10>we've been looking at, like one, as Kevin Scott puts it,

0:35:26.000 --> 0:35:28.880
<v Speaker 10>it's the companies that can make the previously impossible things

0:35:28.920 --> 0:35:33.080
<v Speaker 10>possible but still hard right, so there's still defensibility and

0:35:33.200 --> 0:35:35.400
<v Speaker 10>hard tech and you need really good talent. Like we

0:35:35.480 --> 0:35:38.720
<v Speaker 10>have a portfolio company, Unlearned, that uses AI to create

0:35:38.760 --> 0:35:42.440
<v Speaker 10>synthetic digital twins. So these are basically virtual patients created

0:35:42.480 --> 0:35:46.000
<v Speaker 10>out of combining AI predictions with existing patient profiles, and

0:35:46.040 --> 0:35:49.400
<v Speaker 10>it allows researchers to conduct clinical trials while needing significantly

0:35:49.480 --> 0:35:51.960
<v Speaker 10>fewer real patients in the control group to get the

0:35:52.000 --> 0:35:55.040
<v Speaker 10>same quality trial outcomes. So it's still really hard to

0:35:55.080 --> 0:35:58.000
<v Speaker 10>do it, but it's now possible, and so there may

0:35:58.040 --> 0:36:01.359
<v Speaker 10>not be an incumbent, right, and those things can lend

0:36:01.400 --> 0:36:03.000
<v Speaker 10>themselves really well to startups.

0:36:03.160 --> 0:36:06.200
<v Speaker 2>All right, Inside Partners Managing Director Lonnie Jaffi, good to

0:36:06.239 --> 0:36:08.719
<v Speaker 2>catch up here on VC Spotlight Bloomberg Technology.

0:36:08.760 --> 0:36:19.520
<v Speaker 3>Thank you all right, time for going viral. Have you

0:36:19.560 --> 0:36:20.200
<v Speaker 3>seen this one?

0:36:20.360 --> 0:36:24.400
<v Speaker 2>Jeff Bezos and his new waterfront mansion in Florida. Sources

0:36:24.440 --> 0:36:28.320
<v Speaker 2>save Bezos agreed to pay about sixty eight million dollars

0:36:28.680 --> 0:36:32.840
<v Speaker 2>for the three bedroom a state dubbed the Billionaire Bunker

0:36:32.880 --> 0:36:35.560
<v Speaker 2>of Florida. The property is located in Indian Creek, a

0:36:35.640 --> 0:36:40.080
<v Speaker 2>man made barrier island, basically in the larger Miami area.

0:36:40.160 --> 0:36:41.960
<v Speaker 3>I know a lot of people that have moved to Miami.

0:36:42.400 --> 0:36:45.359
<v Speaker 2>They're not spending sixty eight million on their house hot

0:36:45.400 --> 0:36:48.160
<v Speaker 2>there right now. Meanwhile, in other news, the richest person

0:36:48.160 --> 0:36:51.040
<v Speaker 2>in the world, Elon Musk, says he spent three hours

0:36:51.120 --> 0:36:53.799
<v Speaker 2>in an MRI machine earlier this week ahead of a

0:36:53.920 --> 0:36:56.759
<v Speaker 2>proposed cage match with Metasio.

0:36:56.840 --> 0:36:57.560
<v Speaker 3>Mark Zuckerberg.

0:36:57.600 --> 0:36:59.920
<v Speaker 2>He says the scan showed there's a problem with his

0:37:00.320 --> 0:37:05.480
<v Speaker 2>right shoulder blade rubbing against his ribs, which requires minor surgery,

0:37:05.640 --> 0:37:09.239
<v Speaker 2>and that recovery is expected to last several months. We

0:37:09.400 --> 0:37:13.280
<v Speaker 2>do have no idea, frankly, whether that proposed cage match

0:37:13.880 --> 0:37:16.800
<v Speaker 2>is going to go ahead. Shifting gears pardon the pun.

0:37:16.880 --> 0:37:20.879
<v Speaker 2>Touro is taking on traditional car rental services like Avis,

0:37:20.920 --> 0:37:24.479
<v Speaker 2>budget Perts by allowing its customers not only rent cars

0:37:24.520 --> 0:37:27.399
<v Speaker 2>from others, but list their vehicles on the rental market

0:37:27.480 --> 0:37:29.560
<v Speaker 2>as well. Here's tell us about what the company is

0:37:29.640 --> 0:37:34.280
<v Speaker 2>up to, particularly with generative Ai. Andre Hardad Touro's CEO.

0:37:34.480 --> 0:37:35.920
<v Speaker 2>It's been a while since we've caught up here on

0:37:35.960 --> 0:37:39.680
<v Speaker 2>Bluebow Technology. I want to ask you first the macro

0:37:39.840 --> 0:37:44.120
<v Speaker 2>story we've seen, you know, with Airbnb, certain behaviors with

0:37:44.200 --> 0:37:47.960
<v Speaker 2>short term rentals, you know when it comes to houses.

0:37:48.440 --> 0:37:50.640
<v Speaker 2>What do you see right now in consumer behavior with

0:37:50.800 --> 0:37:54.000
<v Speaker 2>listing their vehicles on Touro. Is it because they're under

0:37:54.000 --> 0:37:56.520
<v Speaker 2>pressure financially or otherwise?

0:37:57.680 --> 0:38:00.279
<v Speaker 3>Thanks for having me the latter b here.

0:38:00.480 --> 0:38:05.040
<v Speaker 11>The picture on the community of the tour hosts that

0:38:05.080 --> 0:38:07.919
<v Speaker 11>we've got has been very, very positive over the last

0:38:07.960 --> 0:38:11.200
<v Speaker 11>couple of years. As you know, prices have gone up,

0:38:11.360 --> 0:38:13.560
<v Speaker 11>Car prices have gone up, interest rates have gone up,

0:38:13.800 --> 0:38:16.239
<v Speaker 11>and more people are looking for ways to make their

0:38:16.280 --> 0:38:20.200
<v Speaker 11>car actually make sense financially for them. So we've seen

0:38:20.360 --> 0:38:24.279
<v Speaker 11>tremendous growth in our hosting community. We've seen a lot

0:38:24.280 --> 0:38:27.399
<v Speaker 11>of people also start building businesses on top of our app.

0:38:27.520 --> 0:38:31.560
<v Speaker 11>So we've seen those multi car hosts really take hold

0:38:31.719 --> 0:38:34.160
<v Speaker 11>in the community of tour hosts, and now we're excited

0:38:34.200 --> 0:38:37.960
<v Speaker 11>to be able to have both consumer hosts and multi

0:38:38.000 --> 0:38:41.360
<v Speaker 11>car hosts. Entrepreneurs were building small fleets on top of

0:38:41.360 --> 0:38:41.760
<v Speaker 11>our app.

0:38:42.600 --> 0:38:46.359
<v Speaker 2>The story of the year has been artficial intelligence, either

0:38:46.400 --> 0:38:50.440
<v Speaker 2>generative AI tools or using a large language model to

0:38:50.520 --> 0:38:52.040
<v Speaker 2>underpin your existing technology.

0:38:52.080 --> 0:38:53.799
<v Speaker 3>What's Touro up to in the field of.

0:38:53.719 --> 0:38:57.359
<v Speaker 11>AI, Well, we've jumped into it. As you may have seen,

0:38:57.480 --> 0:39:01.120
<v Speaker 11>we launched our plugin for CHATGP. We're excited about the

0:39:01.160 --> 0:39:03.840
<v Speaker 11>initial traction that we're seeing. We think that can really

0:39:03.880 --> 0:39:05.719
<v Speaker 11>transform the way people discover.

0:39:05.560 --> 0:39:07.799
<v Speaker 3>How does it work in basic tech?

0:39:07.920 --> 0:39:10.640
<v Speaker 11>So you add the plug in to chat GPT, you

0:39:10.680 --> 0:39:14.160
<v Speaker 11>download it to you add it to your chat gypt app,

0:39:14.320 --> 0:39:16.680
<v Speaker 11>and you have the Tura plug in on it, and

0:39:16.719 --> 0:39:20.240
<v Speaker 11>then you can start navigating Touro in really fun ways.

0:39:20.239 --> 0:39:24.960
<v Speaker 11>You can actually ask to get really wonderful cars in

0:39:25.000 --> 0:39:27.759
<v Speaker 11>a particular location, and you can describe the kinds of

0:39:27.760 --> 0:39:30.120
<v Speaker 11>cars that you'd like, kind of budget that you have,

0:39:30.760 --> 0:39:32.960
<v Speaker 11>the sort of specs that you'd like, and then chat

0:39:33.000 --> 0:39:35.959
<v Speaker 11>gpt will provide you with an incredible selection from Tero.

0:39:36.120 --> 0:39:39.680
<v Speaker 2>So at its core, it's basically automation search, but at

0:39:39.719 --> 0:39:40.359
<v Speaker 2>a next level.

0:39:40.440 --> 0:39:43.600
<v Speaker 11>Yeah, instead of having the customer go in to search

0:39:43.680 --> 0:39:47.120
<v Speaker 11>and enter a lot of different criteria and filter through

0:39:47.160 --> 0:39:50.080
<v Speaker 11>makes and models and prices and all the kinds of

0:39:50.120 --> 0:39:52.680
<v Speaker 11>specs you can imagine when you're trying to find the

0:39:52.680 --> 0:39:56.040
<v Speaker 11>perfect car for your trip, you can just ask chat

0:39:56.040 --> 0:39:58.440
<v Speaker 11>gpt to do that for you and we can deliver

0:39:58.600 --> 0:40:00.640
<v Speaker 11>great selection thanks to the com the nation of our

0:40:00.680 --> 0:40:01.840
<v Speaker 11>plugin with CHADGPT.

0:40:02.120 --> 0:40:04.920
<v Speaker 2>So what's the result been for Touro has an increased

0:40:05.000 --> 0:40:10.200
<v Speaker 2>volume of traffic to the app or any actually easier matches.

0:40:09.960 --> 0:40:12.680
<v Speaker 11>It's easier matching. Yeah, we're seeing both an increase in

0:40:12.920 --> 0:40:16.399
<v Speaker 11>the matching grades as well as growth in traffic because

0:40:16.440 --> 0:40:19.560
<v Speaker 11>more and more people are discovering now Turo through chat gpt,

0:40:19.680 --> 0:40:21.480
<v Speaker 11>which is really an interesting.

0:40:21.080 --> 0:40:21.879
<v Speaker 3>Development for us.

0:40:22.360 --> 0:40:25.600
<v Speaker 2>Final quick quick one growth of Touro. Where are you

0:40:25.640 --> 0:40:27.960
<v Speaker 2>growing right now? You know, either here domes in the

0:40:28.040 --> 0:40:29.080
<v Speaker 2>US or internationally.

0:40:30.040 --> 0:40:33.320
<v Speaker 11>Actually, we're growing in all of our locations. We expanded

0:40:33.360 --> 0:40:36.759
<v Speaker 11>last year in France and Australia. Australia was our most

0:40:36.800 --> 0:40:39.720
<v Speaker 11>recent launch in November of last year. The US business

0:40:39.760 --> 0:40:43.279
<v Speaker 11>continues to grow rapidly, and you know, we're excited to

0:40:43.320 --> 0:40:46.800
<v Speaker 11>continue to expand geographically. We see turo having an opportunity

0:40:46.880 --> 0:40:49.000
<v Speaker 11>to be everywhere around the world.

0:40:49.440 --> 0:40:51.840
<v Speaker 2>All right to our CEO, Andre Hadad, it's good to

0:40:51.880 --> 0:40:54.719
<v Speaker 2>catch up back in SF on Bloomberg Technology.

0:40:54.760 --> 0:40:55.200
<v Speaker 3>That does it.

0:40:55.239 --> 0:40:58.879
<v Speaker 2>Sadly for this edition of Bloomberg Technology, what a week

0:40:58.920 --> 0:41:03.200
<v Speaker 2>it's been for earning for markets, for AI for billionaires,

0:41:03.280 --> 0:41:05.560
<v Speaker 2>so much news about billionaires.

0:41:05.880 --> 0:41:07.279
<v Speaker 3>But there's a lot more to come.

0:41:07.320 --> 0:41:09.080
<v Speaker 2>And you can always recap everything from the show on

0:41:09.120 --> 0:41:11.920
<v Speaker 2>our podcast wherever you get your podcast. We're on Apple,

0:41:12.080 --> 0:41:15.040
<v Speaker 2>We're on Spotify, and we're on iHeart, and of course we're.

0:41:14.840 --> 0:41:16.879
<v Speaker 3>On all of the Bloomberg platforms.

0:41:17.040 --> 0:41:19.839
<v Speaker 2>From here in San Francisco, Caroline Hide and New York's

0:41:19.840 --> 0:41:23.239
<v Speaker 2>coming back soon, guys. I promise this is Bloomberg Technology.