WEBVTT - Tesla's Cybertruck and OpenAI's Tender Offer

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<v Speaker 1>From Mahard where Innovation, Money and power Collie in Silicon Valley, NBN.

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<v Speaker 1>This is Bloomberg Technology with Caroline Hyde and Ed lud Love.

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<v Speaker 2>I'm Caroline Heine and Bloomberg's weeldead quarters in New.

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<v Speaker 3>York, and I'm Ed Ludlow in San Francisco. This is

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<v Speaker 3>Bloomberg Technology coming.

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<v Speaker 2>Up full coverage on Tesla's release of the cyber truck,

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<v Speaker 2>of the years of development delayser manufacturing snags. Will bring

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<v Speaker 2>you the details on the long awaited and rather expensive

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<v Speaker 2>electric vehicles.

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<v Speaker 3>An open AI is sticking with a plan to let

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<v Speaker 3>employees sell shares in the company through a tender offer.

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<v Speaker 3>We'll have more on the company's plans. Amid the tumult

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<v Speaker 3>over Altman.

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<v Speaker 2>Plus ex CEO Linda Jacarino is backing her boss after

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<v Speaker 2>his insults to brands backing.

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<v Speaker 4>Away from the platform.

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<v Speaker 2>We'll bring you the memo to start so much more

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<v Speaker 2>throughout this hour, Let's look at what's happening in the markets.

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<v Speaker 2>Because first day of the new month, and where I'm

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<v Speaker 2>mentioning two up to tens of a percent nothing to

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<v Speaker 2>be sniff. That's certainly nowhere near the ten percent rally

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<v Speaker 2>that we saw throughout the month of November one of

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<v Speaker 2>the best months that we've had in at least years.

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<v Speaker 2>It's the summer of twenty twenty two two year yield.

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<v Speaker 5>Though.

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<v Speaker 2>The fact that we've got bonds and stocks rallying at

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<v Speaker 2>the same time fed J. Powell of course speaking out

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<v Speaker 2>talking about AI in particular how everyone's trying to fathom it,

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<v Speaker 2>but also, of course the leader of the Federal Reserve

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<v Speaker 2>is also largely talking about how they're on pace potentially

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<v Speaker 2>just to be equal balanced in terms of where the

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<v Speaker 2>infratiory pressures are going. So everyone anticipating that we're on

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<v Speaker 2>hold for the rest of this year and maybe we

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<v Speaker 2>see great cuts as soon as the second half of

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<v Speaker 2>next year. Bloomberg Dollar Index therefore falls on the back

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<v Speaker 2>of this two we're off by three tens percent. Let's

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<v Speaker 2>have a look at what is rallying though, and I'm

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<v Speaker 2>looking at what's happening in the world or crypto up

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<v Speaker 2>three percent on the day thirty eighty eight hundred and

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<v Speaker 2>thirty about is where we're training, but one point eclipsing

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<v Speaker 2>what has been a nineteen month high. So if you

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<v Speaker 2>have to go all the way back to summer of

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<v Speaker 2>twenty twenty two. When you last all these sorts of lefeves,

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<v Speaker 2>A thirty eight thousand some now ed calling for that

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<v Speaker 2>forty thousand dollars level to be eclipsed by the end

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<v Speaker 2>of the year.

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<v Speaker 4>But if you've got on the micro.

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<v Speaker 3>Well, our top story and that is Tesla finally launching

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<v Speaker 3>the cyber truck. Shares down one percent and off session lows.

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<v Speaker 3>The news is the pricing. Really we get three variants

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<v Speaker 3>of the cyber truck, and these are the details of

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<v Speaker 3>what it looks like. A rear wheel drive, all wheel drive,

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<v Speaker 3>and then I can't believe it's called this cyberbeast version.

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<v Speaker 3>And I guess that the main takeaway if we start

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<v Speaker 3>with the rear wheel drive is just the case study.

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<v Speaker 3>At the low end, the price is about fifty percent

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<v Speaker 3>above what Tesla marketed it at in twenty nineteen when

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<v Speaker 3>they first unveiled it. I was there in Hawthorne. You'll

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<v Speaker 3>remember on stage the glass smash window six nine hundred

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<v Speaker 3>and ninety dollars before incentives, before gas savings, two hundred

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<v Speaker 3>and fifty miles range. But here's the kicker. This low

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<v Speaker 3>end variant is not available until twenty twenty five. The

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<v Speaker 3>two higher end available next year twenty twenty four. We've

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<v Speaker 3>got a really fantastic guest joining us right now. Sandy

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<v Speaker 3>row is the CEO of monro In Associates, also known

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<v Speaker 3>as the Teardown Titan, and Sandy, you have been on

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<v Speaker 3>the ground in Austin for the last three days. You've

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<v Speaker 3>been driving cyber truck, you've been in the factory, you've

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<v Speaker 3>been speaking to executives. Let's start with the price points.

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<v Speaker 3>What's the conclusion that you draw on the pricing that

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<v Speaker 3>Tesla released.

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<v Speaker 5>Well, I got a chance to drive the Beast and

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<v Speaker 5>that that was the vehicle that they gave me to

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<v Speaker 5>fool around with. It Definitely, it's wicket fast, It's unbelievably comfortable.

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<v Speaker 5>I would put it in with other one hundred thousand

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<v Speaker 5>dollars vehicles. Now I don't know the other two products

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<v Speaker 5>at all because I didn't really get a chance to

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<v Speaker 5>test those, but the one that I had, the cyber truck, Beast,

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<v Speaker 5>definitely as quick. I Don'll scare the daylights out of

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<v Speaker 5>most people. And if you've got it there, there's a

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<v Speaker 5>video of the cyber truck and a portion nine to

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<v Speaker 5>eleven taken off from the line doing a quarter mile

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<v Speaker 5>and the Tesla wins, but it's towing another nine to

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<v Speaker 5>eleven beat the nine to eleven towing a nine to eleven.

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<v Speaker 5>It's fast. It's extremely it's extremely fast.

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<v Speaker 3>It's very very Sandy. Sandy. I called you at the

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<v Speaker 3>top of the show the tear down Tight, and I

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<v Speaker 3>just want to explain to audience your principally be an

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<v Speaker 3>automotive engineer, right, and you kind of rose to prominence

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<v Speaker 3>because you take new vehicles, tear them apart, right down

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<v Speaker 3>to the individual nuts and bolts, and assess what they're

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<v Speaker 3>made of, assess their efficiency. You have been in the factory,

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<v Speaker 3>and I wanted to ask you, based on the design

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<v Speaker 3>of this vehicle and what you saw down in Austin Giga,

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<v Speaker 3>how many do you think they're going to be able

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<v Speaker 3>to build initially this year or the remainder of this

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<v Speaker 3>year next year.

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<v Speaker 5>That's kind of a tough question because there's a lot

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<v Speaker 5>that determines whether or not you're going to be able

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<v Speaker 5>to push out those products. A lot of it has

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<v Speaker 5>to do with the supply chain, and there's a lot

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<v Speaker 5>of things that of push you in different directions as

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<v Speaker 5>far as launch is concerned. What I saw was running

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<v Speaker 5>at sixty jumps per hour, and that's kind of normal.

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<v Speaker 5>The rest of the factories that I've seen, the breast

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<v Speaker 5>of the tessel factories are running at forty three forty two,

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<v Speaker 5>forty three seconds per cit or per station. That's FAST's

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<v Speaker 5>that's really fast. So if they could keep that momentum

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<v Speaker 5>up in twelve months, they should be able to do

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<v Speaker 5>easily two hundred and fifty. It depends on how many

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<v Speaker 5>you know, how many shifts you've got and whatnot, but

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<v Speaker 5>they should easily be able to do two hundred and

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<v Speaker 5>fifty thousand a year at that rate, two hundred and

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<v Speaker 5>fifty to five hundred thousand, depending on how many shifts.

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<v Speaker 2>Yeah, and certainly muff saying that two hundred and fifty

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<v Speaker 2>thousand units possible by twenty twenty five.

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<v Speaker 4>I'm interested, Sandy.

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<v Speaker 2>And ultimately, how does this disrupt the pickup truck market

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<v Speaker 2>at large? You keep on showing the sort of f

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<v Speaker 2>one fifty in particular the ev competitor there, and how

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<v Speaker 2>the price point is a lot cheaper that even though

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<v Speaker 2>E La Musk himself said, look, it looked expensive at

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<v Speaker 2>the time, how do you think it compares to the

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<v Speaker 2>rest of the market.

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<v Speaker 5>Well, everybody's been trying to say that they're all pickup trucks,

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<v Speaker 5>but really and truly, there's a distinct user difference between

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<v Speaker 5>the Rivian, the lightning, the cyber truck, and say something

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<v Speaker 5>like the like the hummer. They they're they're not really

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<v Speaker 5>tuned to attack the same market. They all can do

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<v Speaker 5>pickup truck kind of work. But I think that the

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<v Speaker 5>average person who's got a construction company is probably going

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<v Speaker 5>to be going for a lightning. The guy who wants

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<v Speaker 5>to go to the grocery store and every once in

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<v Speaker 5>a while pick up a two by four, that's probably

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<v Speaker 5>the Rivian kind of story. The hummer, I don't know

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<v Speaker 5>who that is, but I can tell you for me,

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<v Speaker 5>I I'm going to be brutally frank here. I'm trying

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<v Speaker 5>to get a hold of two of them, and and

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<v Speaker 5>one is going to be my drive because for me,

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<v Speaker 5>if you're an outdoorsman, you've got quads, you got hunting

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<v Speaker 5>on your mind, hunting or fishing or whatever, this is

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<v Speaker 5>the This is the truck for you. This this, this

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<v Speaker 5>is what I'm truly looking for. I have a lightning

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<v Speaker 5>at the at the office. My wife owns a ribbean,

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<v Speaker 5>uh like I say, I don't know an awful lot

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<v Speaker 5>about Jim has never never offered me one of their

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<v Speaker 5>hummers for driving. But but for me, what I want

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<v Speaker 5>is the I want a sober truck.

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<v Speaker 4>Okay, you want it Sunday Brand.

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<v Speaker 2>What is any criticism then? What is it that might

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<v Speaker 2>be a slight worry when you go and take that

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<v Speaker 2>pick up?

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<v Speaker 5>Yeah? The I drove it for a few hours and

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<v Speaker 5>the only time, the only time that I had a

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<v Speaker 5>problem with the thing was it was when I had

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<v Speaker 5>to try and still here. Yeah. So anyways, the only

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<v Speaker 5>the only thing that I had that was an issue

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<v Speaker 5>was was when I was going up and I took

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<v Speaker 5>it into a parking garage. And that's scared the living

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<v Speaker 5>lights out of me because it's a very big vehicle

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<v Speaker 5>and it was very difficult for me to determine where

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<v Speaker 5>the corners of the car. And I really didn't want

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<v Speaker 5>to smash I didn't want to smash Tesla's car. So

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<v Speaker 5>I I made the suggestion to the guys and I said, hey,

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<v Speaker 5>you know what, really and truly I need I I

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<v Speaker 5>can't see out of the I can't see where the

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<v Speaker 5>corners are. How about you put up you know, utilize

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<v Speaker 5>the cameras at the front of the vehicle and uh,

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<v Speaker 5>and make it so I can see where the corners

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<v Speaker 5>are with relationship to the walls of the of the

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<v Speaker 5>what do you call it parking garage? That it was

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<v Speaker 5>going on right, and the said, oh, no problem, just

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<v Speaker 5>a software thing. Well, we can probably make that as

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<v Speaker 5>a running change.

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<v Speaker 3>That was the only Sandy. Yes, I'm sorry to interrupt

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<v Speaker 3>your Sandy. I just want to make sure we get

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<v Speaker 3>to this. I guess you haven't had a chance yet

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<v Speaker 3>to do a teardown of the cyber truck for obvious reasons. Now,

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<v Speaker 3>I guess will you do a teardown? But also I

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<v Speaker 3>think the materials here are so important. This is your expertise, right,

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<v Speaker 3>the reinforced steel, the forty eight vault architecture, the wire

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<v Speaker 3>driving all of these things. What's your assessment of that

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<v Speaker 3>design and material.

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<v Speaker 5>Drive by wire is long. I'm going to do that

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<v Speaker 5>one first because that is the thing that is the

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<v Speaker 5>biggest differentiator. Drive by wire. I wouldn't really want to

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<v Speaker 5>do that unless it was forty eight volts system. Going

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<v Speaker 5>from twelve to forty eight volts is huge, I mean

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<v Speaker 5>a gigantic advantage. The system that they've got is a

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<v Speaker 5>double and triple redundancy. So all those naysayers in Washington

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<v Speaker 5>Initiative folks even they had to kind of like nod

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<v Speaker 5>their head and say, Okay, the fact that you've got

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<v Speaker 5>both front steering and rear steering, you've got ten degrees

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<v Speaker 5>of rear steering, means that you can spin this thing

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<v Speaker 5>around like a top. It's really really, really easy to drive,

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<v Speaker 5>especially in parking lot or tight corner type of applications.

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<v Speaker 5>It's spectacular in that respect. The yes, the uh, the

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<v Speaker 5>maneuverability is wonderful. The fact that I've got the ability

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<v Speaker 5>now to have lock to lock at three hundred and

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<v Speaker 5>twenty degrees means that I never have to take my

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<v Speaker 5>hands off the string wheel. It's basically three hundred and

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<v Speaker 5>twenty degrees, you're never you're never going in a complete circle.

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<v Speaker 5>So that makes the uh, that makes the string wheel

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<v Speaker 5>a thing of the past, and everybody's going to be

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<v Speaker 5>going to a yoke.

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<v Speaker 3>Now, Sandy, there's a specific I'm sorry to interrupt you

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<v Speaker 3>saying there's a specific material we have to get to.

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<v Speaker 3>So Elon Musk is talking about how bullet well the

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<v Speaker 3>windows because Elon Musk is talking about how bulletproof it is,

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<v Speaker 3>and he demoed firing a machine gun at it and

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<v Speaker 3>Joe Rogan with a steelhead arrow at it. It makes

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<v Speaker 3>dentse is bulletproof. But what about the glass right that

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<v Speaker 3>I saw Franz do a demo of the window. It

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<v Speaker 3>didn't smash this.

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<v Speaker 5>Time, no, but it would tell you about a shot.

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<v Speaker 3>Well exactly, I made that observation on X because last

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<v Speaker 3>time it was a metal ball bearing, this time it

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<v Speaker 3>was a baseball. But here's my point in my question

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<v Speaker 3>to conclude, what did they tell you there on site

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<v Speaker 3>that they failed to mention during the presentation because they

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<v Speaker 3>didn't talk about the range extender during the presentation and

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<v Speaker 3>they didn't confirm if the glass is bulletproof too.

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<v Speaker 5>Okay, so the glass being bulletproof, the glass that's in

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<v Speaker 5>a normal vehicle, I'm pretty sure it's going to be

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<v Speaker 5>a good temperate glass. And yeah, you could throw rocks

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<v Speaker 5>or snowballs or something like that earlier, but an iron

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<v Speaker 5>ball or a bullet not so much. The thing is,

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<v Speaker 5>though you can buy glass that is bulletproof and you

0:12:09.160 --> 0:12:10.720
<v Speaker 5>can put it in it adds an awful lot of

0:12:10.760 --> 0:12:13.840
<v Speaker 5>extra weight and a huge amount of costs. Let's get

0:12:13.840 --> 0:12:17.079
<v Speaker 5>back to the steel. The stainless steel that they're using

0:12:17.600 --> 0:12:21.680
<v Speaker 5>is a three hundred series stainless steel. For those folks

0:12:21.679 --> 0:12:25.760
<v Speaker 5>that are into technology, it's austenitic, and which means that

0:12:26.040 --> 0:12:29.920
<v Speaker 5>it's non magnetic, and it's quite a bit tougher and

0:12:29.960 --> 0:12:33.920
<v Speaker 5>it won't everything does break down eventually, but it would

0:12:33.920 --> 0:12:36.440
<v Speaker 5>be classified as a true stainless steel. The thing that

0:12:36.480 --> 0:12:39.440
<v Speaker 5>makes it even more impressive or important is that when

0:12:39.440 --> 0:12:42.040
<v Speaker 5>they cold form it, they move it from oustinite to

0:12:42.120 --> 0:12:45.840
<v Speaker 5>Martin site. It probably doesn't mean anything to most people,

0:12:46.160 --> 0:12:50.160
<v Speaker 5>but if you know anything about material science, a Martin

0:12:50.240 --> 0:12:54.600
<v Speaker 5>Cidic structure means that you're moving into something that's really hard.

0:12:55.280 --> 0:12:59.720
<v Speaker 5>So normal steel is not even measured on a rock

0:12:59.720 --> 0:13:06.560
<v Speaker 5>well S scale. But the body structure, the body panels,

0:13:07.320 --> 0:13:12.040
<v Speaker 5>the reason that they can contain bullets of multiple calibers

0:13:12.040 --> 0:13:17.280
<v Speaker 5>and quite frankly, multiple velocities. The reason that it can

0:13:17.320 --> 0:13:20.840
<v Speaker 5>do that is because it's Martin cidic and Martin's site

0:13:20.960 --> 0:13:27.160
<v Speaker 5>is pretty dramatic. You can't you can't believe how tough

0:13:27.200 --> 0:13:29.760
<v Speaker 5>that is, and so that's kind of like what's happening.

0:13:29.800 --> 0:13:34.440
<v Speaker 5>So the steel comes in relatively strong, then it goes

0:13:34.440 --> 0:13:38.959
<v Speaker 5>through cold forming, which basically strengthens it even more. Then

0:13:39.000 --> 0:13:42.560
<v Speaker 5>it goes into one more a little like the air

0:13:42.600 --> 0:13:44.840
<v Speaker 5>bending and whatnot that they do for some of those

0:13:45.559 --> 0:13:49.440
<v Speaker 5>linear lines, like you're showing it right now, you've got

0:13:49.480 --> 0:13:53.160
<v Speaker 5>that line that goes straight across the vehicle. That is

0:13:53.480 --> 0:13:56.880
<v Speaker 5>absolutely something that makes it a whole lot stronger. So

0:13:57.040 --> 0:13:58.880
<v Speaker 5>anytime you can put a bend or a rainkle in

0:13:59.360 --> 0:14:02.000
<v Speaker 5>a piece of sheet metal, that's great. I had no

0:14:02.120 --> 0:14:04.880
<v Speaker 5>idea how they were doing that, but I did get

0:14:04.880 --> 0:14:07.200
<v Speaker 5>a chance to. I did have a chance to look

0:14:07.240 --> 0:14:10.400
<v Speaker 5>at the assembly line. I saw the machines that are

0:14:11.160 --> 0:14:15.440
<v Speaker 5>that are manufacturing it's the Trump machine. It's actually, I

0:14:15.480 --> 0:14:19.440
<v Speaker 5>mean it's it's quite simple, a lot simpler than I

0:14:19.680 --> 0:14:24.560
<v Speaker 5>than I thought. So, yeah, it's it's it's really well engineered.

0:14:24.880 --> 0:14:28.000
<v Speaker 5>And then of course, yeah, the illuminance for the castings

0:14:28.040 --> 0:14:32.000
<v Speaker 5>and whatnot. Also, again, they created their own their own

0:14:32.040 --> 0:14:38.360
<v Speaker 5>material science. It flows incredibly well, like, yeah, we're.

0:14:38.240 --> 0:14:40.040
<v Speaker 2>Gonna have to we're gonna have to leave it there, Sally,

0:14:40.080 --> 0:14:42.360
<v Speaker 2>But I cannot tell you how much you are preaching

0:14:42.400 --> 0:14:44.920
<v Speaker 2>to the right choir here in terms of the intricacies

0:14:45.440 --> 0:14:48.320
<v Speaker 2>of the material science the technology that really goes into

0:14:48.320 --> 0:14:51.400
<v Speaker 2>these tiles and these pick up Sanny Monroe, We thank you, CEO. A.

0:14:51.560 --> 0:15:02.600
<v Speaker 2>Monroe and Associates. Open Ai is tender offer, it's on

0:15:03.080 --> 0:15:05.040
<v Speaker 2>and it can value the AI company at eighty six

0:15:05.080 --> 0:15:07.520
<v Speaker 2>billion dollars. Open Ai is sticking with its plan to

0:15:07.600 --> 0:15:10.080
<v Speaker 2>let employees sell shares and giving them atually little bit

0:15:10.080 --> 0:15:12.120
<v Speaker 2>of extra time a month in fact, to decide whether

0:15:12.160 --> 0:15:14.200
<v Speaker 2>to take part in it. That's been in Bloemberg's Max

0:15:14.240 --> 0:15:17.080
<v Speaker 2>Chraffkin for more because this was the ongoing question, wasn't

0:15:17.120 --> 0:15:21.080
<v Speaker 2>it after all of the termill would ultimately be the

0:15:21.160 --> 0:15:23.360
<v Speaker 2>demand And clearly there is enough demand right well.

0:15:23.360 --> 0:15:25.640
<v Speaker 6>And during the upheaval there was this big question of

0:15:25.800 --> 0:15:28.680
<v Speaker 6>is this company valuable anymore? Is this company even really

0:15:28.720 --> 0:15:31.680
<v Speaker 6>a company? Now we've seen you know, reinstitution of Sam

0:15:31.680 --> 0:15:36.320
<v Speaker 6>Altman and Greg Brockman the president, this newly reconstituted board.

0:15:36.360 --> 0:15:39.080
<v Speaker 6>Clearly Microsoft is on board with this whole business. They're

0:15:39.080 --> 0:15:41.400
<v Speaker 6>going to have an observer seat on the new board.

0:15:41.680 --> 0:15:43.720
<v Speaker 6>And yes, and the tender offer is moving forward, which

0:15:43.760 --> 0:15:46.720
<v Speaker 6>will be really great obviously for employees. I mean it's

0:15:46.760 --> 0:15:48.800
<v Speaker 6>going to be primarily a way for people who own

0:15:48.880 --> 0:15:51.640
<v Speaker 6>shares to cash out, which is going to mean employees,

0:15:52.040 --> 0:15:53.800
<v Speaker 6>but is also of course a sign of healthiness for

0:15:53.840 --> 0:15:54.280
<v Speaker 6>the company.

0:15:54.280 --> 0:15:58.680
<v Speaker 3>Overall. We're just showing the makeup of the new transitional board.

0:15:58.720 --> 0:16:00.840
<v Speaker 3>And just to note to our audience, Marry Summers is

0:16:00.840 --> 0:16:04.000
<v Speaker 3>a paid contributor to Bloomberg's Wall Street Week. For me,

0:16:04.120 --> 0:16:06.880
<v Speaker 3>this story does put the spotlight on Microsoft right partly

0:16:06.920 --> 0:16:10.520
<v Speaker 3>because all the staff were going to defect Microsoft had

0:16:10.520 --> 0:16:14.120
<v Speaker 3>Sam Outman not come back, but the non voting observice.

0:16:14.320 --> 0:16:17.040
<v Speaker 3>When I posted that we'd broken that story, Max, everyone

0:16:17.040 --> 0:16:20.160
<v Speaker 3>asked me, what does that even mean? And remember Satir

0:16:20.240 --> 0:16:22.680
<v Speaker 3>de Nadella said surprises are bad.

0:16:23.600 --> 0:16:26.360
<v Speaker 6>Well, okay, I mean a non voting board, see doesn't

0:16:26.400 --> 0:16:29.520
<v Speaker 6>mean much. I guess in theory what it means is

0:16:29.680 --> 0:16:32.080
<v Speaker 6>what happened the last time is would not happen again

0:16:32.120 --> 0:16:33.920
<v Speaker 6>in the sense that they wouldn't be as surprised as

0:16:33.960 --> 0:16:37.120
<v Speaker 6>they were. So Microsoft had only a couple of minutes

0:16:37.160 --> 0:16:40.120
<v Speaker 6>of notice when Sam Altman was fired the last time,

0:16:40.160 --> 0:16:42.400
<v Speaker 6>so this time one assumes they would have a little

0:16:42.400 --> 0:16:43.080
<v Speaker 6>bit more notice.

0:16:43.240 --> 0:16:44.760
<v Speaker 3>Beyond that, I think it's more of.

0:16:44.720 --> 0:16:48.000
<v Speaker 6>A signal of Microsoft's position with respect to open AI.

0:16:48.360 --> 0:16:49.880
<v Speaker 3>They have a little bit more leverage now.

0:16:49.960 --> 0:16:52.640
<v Speaker 6>So the old board included a couple of board members

0:16:52.720 --> 0:16:56.280
<v Speaker 6>who I would say were not as aligned with Microsoft's interests.

0:16:56.320 --> 0:16:58.880
<v Speaker 6>This new board, i'd say is more pro Microsoft, more

0:16:58.880 --> 0:17:02.440
<v Speaker 6>in the Sachin and camp, and the board seat reflects that,

0:17:02.600 --> 0:17:04.880
<v Speaker 6>or the board absorb observer seat.

0:17:05.400 --> 0:17:08.000
<v Speaker 2>Yeah, many people were trying to sort of say capitalism one. Well,

0:17:08.040 --> 0:17:10.760
<v Speaker 2>ultimately maybe capitalism was always winning, but we've got more

0:17:10.800 --> 0:17:14.040
<v Speaker 2>of a focus, perhaps on profit over safety. Dare I

0:17:14.119 --> 0:17:15.480
<v Speaker 2>say no on that that's going to be in any

0:17:15.480 --> 0:17:18.240
<v Speaker 2>way perhaps completely backseat. We still got to see what

0:17:18.440 --> 0:17:19.919
<v Speaker 2>the rest of the board looks like because at the

0:17:19.920 --> 0:17:22.760
<v Speaker 2>moment they've noted this is undiverse. Brett Taylor's been trying

0:17:22.760 --> 0:17:25.160
<v Speaker 2>to talk about that that needs expanding, and so too

0:17:25.200 --> 0:17:27.840
<v Speaker 2>does Ultimately the recovery process need to be borne out

0:17:27.920 --> 0:17:29.000
<v Speaker 2>these the competition.

0:17:29.080 --> 0:17:31.400
<v Speaker 6>Well, and here's the thing, we still don't know if

0:17:31.440 --> 0:17:33.399
<v Speaker 6>there are going to be huge differences. We still have

0:17:33.600 --> 0:17:36.880
<v Speaker 6>many of the same things that led to the last craziness. Right,

0:17:37.119 --> 0:17:41.119
<v Speaker 6>nonprofit Ostensibly a board that's supposed to still be focused

0:17:41.119 --> 0:17:43.359
<v Speaker 6>on safety is supposed to still be willing to, you know,

0:17:43.440 --> 0:17:45.360
<v Speaker 6>shut this thing down if it ever gets two out

0:17:45.359 --> 0:17:49.399
<v Speaker 6>of hand, and still you have Microsoft, which has this

0:17:49.560 --> 0:17:51.920
<v Speaker 6>huge interest in the company, you know, more than ten

0:17:51.960 --> 0:17:56.200
<v Speaker 6>billion dollars worth of money. Its entire corporate strategy depending

0:17:56.440 --> 0:17:57.680
<v Speaker 6>on this third party that.

0:17:57.680 --> 0:17:58.600
<v Speaker 1>It doesn't control.

0:17:58.760 --> 0:18:01.040
<v Speaker 6>So in a lot of ways, we're where we were before,

0:18:01.200 --> 0:18:03.040
<v Speaker 6>which for Microsoft is going to be fine. They were

0:18:03.080 --> 0:18:05.720
<v Speaker 6>doing well with this relationship, but there is still a

0:18:05.760 --> 0:18:09.120
<v Speaker 6>lot of uncertainty and an investigation.

0:18:08.760 --> 0:18:13.119
<v Speaker 3>Ed, Yeah, an investigation into what originally happened, led by

0:18:13.160 --> 0:18:16.399
<v Speaker 3>an independent party. Check out Max Chafkins Bloomberg BusinessWeek's story

0:18:16.440 --> 0:18:19.720
<v Speaker 3>Microsoft's lack of control of open Ai remains a wild card.

0:18:19.760 --> 0:18:22.960
<v Speaker 3>Now coming up on the show, ouch Tiger Global's biggest

0:18:23.000 --> 0:18:26.080
<v Speaker 3>venture fund, racking up an eighteen percent paper loss the

0:18:26.200 --> 0:18:28.120
<v Speaker 3>end of September. We're going to bring you those details.

0:18:28.280 --> 0:18:45.240
<v Speaker 3>Coming up next. This is Bloomberg Technology All right. Time

0:18:45.320 --> 0:18:47.760
<v Speaker 3>for Talking Tech, And first off, Apple and paramount to

0:18:47.840 --> 0:18:51.560
<v Speaker 3>reportedly in talks to bundle their streaming services at a

0:18:51.600 --> 0:18:54.600
<v Speaker 3>discounted rate. The Wall Street Journal says discussions are in

0:18:54.600 --> 0:18:58.040
<v Speaker 3>the early stages and some operational details are still unclear.

0:18:58.320 --> 0:19:01.680
<v Speaker 3>More companies had been resorting to bundling packages to make

0:19:01.680 --> 0:19:05.640
<v Speaker 3>their offerings more affordable and attractive and Meta says there's

0:19:05.640 --> 0:19:10.320
<v Speaker 3>no harm done by making its artificial intelligence technology widely available.

0:19:10.400 --> 0:19:14.480
<v Speaker 3>Metas chief AI scientists Sane lucun It touted the importance

0:19:14.520 --> 0:19:17.959
<v Speaker 3>of sharing tech while other companies might be more protective.

0:19:18.240 --> 0:19:21.159
<v Speaker 3>He spoke about advancing AI at a faster rate, saying quote,

0:19:21.200 --> 0:19:24.480
<v Speaker 3>if you do this in secret, you will fall behind.

0:19:24.560 --> 0:19:28.440
<v Speaker 3>Plus ex CEO Lindy Acarino sent a memo to employees

0:19:28.480 --> 0:19:31.720
<v Speaker 3>showing her support of owner Elon Musk after his comments

0:19:31.720 --> 0:19:34.600
<v Speaker 3>this week which insulted brands that are backed way from

0:19:34.600 --> 0:19:37.919
<v Speaker 3>advertising on the platform. She called Musk candid and profound

0:19:37.960 --> 0:19:40.760
<v Speaker 3>and added quote, no matter how hard they try, we

0:19:40.800 --> 0:19:44.720
<v Speaker 3>will not be distracted by Sideline critics who don't understand

0:19:44.960 --> 0:19:46.240
<v Speaker 3>our core mission. Karrot.

0:19:46.240 --> 0:19:48.120
<v Speaker 2>I'm going to be discussing that much more a little

0:19:48.119 --> 0:19:50.280
<v Speaker 2>bit later in the show, but for now, ed we

0:19:50.359 --> 0:19:53.199
<v Speaker 2>want to dwell on the fact that while stocks are rallied,

0:19:53.480 --> 0:19:55.760
<v Speaker 2>bonds are rallied in the month of November, not all

0:19:55.800 --> 0:19:58.400
<v Speaker 2>has been that pretty for some big venture bets of late.

0:19:58.600 --> 0:20:02.000
<v Speaker 2>Just take Tiger Global Management, biggest venture fund. Get this,

0:20:02.080 --> 0:20:05.400
<v Speaker 2>It racked up eighteen percent loss at the end of September.

0:20:05.560 --> 0:20:09.320
<v Speaker 2>That's after slashing valuations for some of the key companies.

0:20:08.840 --> 0:20:09.800
<v Speaker 4>In its portfolio.

0:20:09.920 --> 0:20:12.960
<v Speaker 2>Bloomberg actually learning that the fund marked down firms ranging

0:20:12.960 --> 0:20:16.120
<v Speaker 2>from an AI powered email company to a privacy search

0:20:16.240 --> 0:20:18.679
<v Speaker 2>engine of course tug dot Co, but most notably some

0:20:18.720 --> 0:20:22.480
<v Speaker 2>of their crypto beets absolutely decimated in terms of original valuation.

0:20:23.040 --> 0:20:26.840
<v Speaker 2>Of course, Tiger Global did not comment for this story,

0:20:26.840 --> 0:20:29.360
<v Speaker 2>but we do get some more context from Bloomberg News

0:20:29.359 --> 0:20:32.359
<v Speaker 2>Wall Street reporter Shnali Bassak. And I mean, for me

0:20:32.440 --> 0:20:36.120
<v Speaker 2>what took my breath away was the Bord eight Yacht

0:20:36.119 --> 0:20:40.399
<v Speaker 2>Club and open see I mean ninety percent marked down

0:20:40.440 --> 0:20:41.560
<v Speaker 2>from an original valuation.

0:20:41.800 --> 0:20:44.040
<v Speaker 4>I mean that kind of feats of hubris.

0:20:44.080 --> 0:20:47.120
<v Speaker 7>And you remember also remember Board eight Yacht Club bought

0:20:47.119 --> 0:20:50.239
<v Speaker 7>in other big investors like Arie Brogard's Lion Try and

0:20:50.280 --> 0:20:52.879
<v Speaker 7>you have Philip Laflan's Co two coming into open CE

0:20:53.080 --> 0:20:55.080
<v Speaker 7>as well. There was a time that open C was

0:20:55.119 --> 0:20:57.480
<v Speaker 7>an IPO darling. If you remember, they had hired the

0:20:57.480 --> 0:21:01.200
<v Speaker 7>former cfl Lift who then had left open C subsequently

0:21:01.240 --> 0:21:04.159
<v Speaker 7>and now is working at Splunk, I believe, but remember

0:21:04.240 --> 0:21:07.000
<v Speaker 7>open C I had been caught in the caught here

0:21:07.080 --> 0:21:09.840
<v Speaker 7>is here of the regulatory uncertainties that would surround the

0:21:09.880 --> 0:21:13.080
<v Speaker 7>rest of the investment industry in crypto, but even more

0:21:13.119 --> 0:21:17.480
<v Speaker 7>so because NFTs versus token listings and other types of

0:21:17.520 --> 0:21:20.400
<v Speaker 7>assets were under the ire of the SEC. So yes,

0:21:20.520 --> 0:21:23.080
<v Speaker 7>a severe write down. When you look at how Tiger

0:21:23.119 --> 0:21:26.720
<v Speaker 7>Global has taken this position, We've seen similar at rivals.

0:21:27.040 --> 0:21:29.840
<v Speaker 7>But as you say, this has not been limited to

0:21:29.880 --> 0:21:33.000
<v Speaker 7>the crypto industry for these big investment firms.

0:21:33.640 --> 0:21:37.000
<v Speaker 3>Snali thirty seconds but a big scoop on Binance vip

0:21:37.160 --> 0:21:39.359
<v Speaker 3>trade is getting a heads up on recent proceedings.

0:21:39.840 --> 0:21:41.919
<v Speaker 7>They did know ahead of time, and of course because

0:21:41.960 --> 0:21:44.399
<v Speaker 7>we know that cz was in the UAE and they

0:21:44.440 --> 0:21:46.840
<v Speaker 7>don't have an extradition treaty with the United States, that

0:21:46.920 --> 0:21:48.720
<v Speaker 7>it was not just about the founder here. This showed

0:21:48.720 --> 0:21:51.000
<v Speaker 7>you the extent to which the rest of the traders

0:21:51.000 --> 0:21:54.040
<v Speaker 7>were concerned about how finance would dissolve the settlement and

0:21:54.040 --> 0:21:54.800
<v Speaker 7>be able to get through it.

0:21:54.840 --> 0:21:56.159
<v Speaker 4>At the end of the day, which of course have.

0:21:56.240 --> 0:22:06.919
<v Speaker 2>Been cryptos has sweet spot. Welcome back to Bluemo Technology.

0:22:06.960 --> 0:22:07.720
<v Speaker 2>I'm Caline Heid in.

0:22:07.640 --> 0:22:10.560
<v Speaker 3>New York and I'm Ed Ludlow in San Francisco. Look, Caro,

0:22:10.560 --> 0:22:12.240
<v Speaker 3>I don't want to put a downer on things, but

0:22:12.720 --> 0:22:14.679
<v Speaker 3>final day of the week, and this is what markets

0:22:14.720 --> 0:22:17.720
<v Speaker 3>look like on a weekly basis, and as that one hundred, Okay,

0:22:17.760 --> 0:22:21.560
<v Speaker 3>it's basically flat, actually zero point zero two percent on

0:22:21.600 --> 0:22:24.479
<v Speaker 3>the week. But I guess we are headed potentially halfway

0:22:24.480 --> 0:22:26.560
<v Speaker 3>through the trading day through a down week. There's been

0:22:26.560 --> 0:22:28.600
<v Speaker 3>a bunch of FED speak out their earnings are having

0:22:28.640 --> 0:22:31.160
<v Speaker 3>a real impact on the trajectory of the NASDAK one

0:22:31.200 --> 0:22:33.520
<v Speaker 3>hundred in the last twenty four to forty eight hours,

0:22:33.520 --> 0:22:35.560
<v Speaker 3>which of course is made up of some of those

0:22:35.640 --> 0:22:39.320
<v Speaker 3>higher multiple software names that have reported earnings. Dell also

0:22:39.600 --> 0:22:42.320
<v Speaker 3>a big impact on markets this Friday. An important piece

0:22:42.359 --> 0:22:44.560
<v Speaker 3>of news that I want to bring our audience look

0:22:44.560 --> 0:22:47.840
<v Speaker 3>at some of the EV makers, including the legacy automakers

0:22:47.880 --> 0:22:52.680
<v Speaker 3>transitioning to EV. The Biden administration has set the limits

0:22:52.760 --> 0:22:56.000
<v Speaker 3>for a foreign entity of concern. Basically, the rule is

0:22:56.400 --> 0:22:59.320
<v Speaker 3>that if a company involved in the battery supply chain

0:22:59.680 --> 0:23:03.159
<v Speaker 3>has more than twenty five percent foreign ownership in the

0:23:03.160 --> 0:23:07.040
<v Speaker 3>context of China, than any car that includes a component

0:23:07.280 --> 0:23:11.520
<v Speaker 3>or a material tied to that company, an FEOC will

0:23:11.560 --> 0:23:14.520
<v Speaker 3>not be eligible for the seventy five hundred dollars federal

0:23:14.520 --> 0:23:18.000
<v Speaker 3>tax credit. Really important when you consider the supply chains

0:23:18.160 --> 0:23:21.239
<v Speaker 3>of all of these US automakers who are sourcing not

0:23:21.359 --> 0:23:24.679
<v Speaker 3>just the battery packing component but the raw materials with

0:23:24.800 --> 0:23:26.640
<v Speaker 3>some association with Chinese companies.

0:23:27.200 --> 0:23:27.560
<v Speaker 4>Ashley.

0:23:27.680 --> 0:23:30.600
<v Speaker 2>This really dovetails into ultimately the conversations that are going

0:23:30.600 --> 0:23:33.120
<v Speaker 2>on in the release at the moment, because all world

0:23:33.200 --> 0:23:35.760
<v Speaker 2>leaders have kicked off the COP twenty eight Climate Summit,

0:23:36.000 --> 0:23:38.600
<v Speaker 2>and it's over in the UAE to buy in particular

0:23:38.640 --> 0:23:41.960
<v Speaker 2>with pledges to boost investment in green solutions and calls

0:23:41.960 --> 0:23:44.800
<v Speaker 2>for more decisive action to cut queenhouse gases.

0:23:45.160 --> 0:23:46.520
<v Speaker 4>Let's just get the latest on the ground.

0:23:48.400 --> 0:23:51.000
<v Speaker 8>Day two of COP twenty eight started with an early

0:23:51.080 --> 0:23:54.520
<v Speaker 8>win for developing nations. An agreement was reached for a

0:23:54.640 --> 0:23:58.040
<v Speaker 8>Last and Damage Fund designed to help vulnerable countries deal

0:23:58.080 --> 0:24:01.720
<v Speaker 8>with more extreme weather stoked by global warming. A number

0:24:01.720 --> 0:24:05.280
<v Speaker 8>of leaders, from King Charles to President Norrendramodi and President

0:24:05.359 --> 0:24:09.480
<v Speaker 8>Da Silva, and also you and Secretary General Antonio Guterrez

0:24:09.560 --> 0:24:14.160
<v Speaker 8>address the plenary, delivering an urgent message on fighting climate change.

0:24:14.400 --> 0:24:18.879
<v Speaker 9>The climate challenge is not just another issue in your inbox.

0:24:19.840 --> 0:24:24.600
<v Speaker 9>Protecting about climates is the world's greatest test of leadership.

0:24:25.160 --> 0:24:27.560
<v Speaker 8>Other key areas we're still watching out for on the

0:24:27.600 --> 0:24:32.119
<v Speaker 8>agenda are potentially in agreement to expand renewable investment and

0:24:32.280 --> 0:24:36.959
<v Speaker 8>potentially a plan to phase out fossil fuels. Jennifer's Abasaja

0:24:37.040 --> 0:24:39.760
<v Speaker 8>from COP twenty eight Bloomberg News Dubai.

0:24:40.680 --> 0:24:44.000
<v Speaker 2>Thanks Jennifer, Saveasaga. They're reporting on the ground ed. What

0:24:44.080 --> 0:24:45.840
<v Speaker 2>if you've got well.

0:24:45.680 --> 0:24:47.800
<v Speaker 3>Let's stick with the COP twenty eight climates Summit the

0:24:47.920 --> 0:24:52.040
<v Speaker 3>discussion and bring in Avenge Capitalists is investing in that space.

0:24:52.119 --> 0:24:54.960
<v Speaker 3>Joining us now is Andrew b Managing director at Obvious

0:24:55.040 --> 0:24:58.840
<v Speaker 3>Ventures and Obvious Ventures, a VC firm that invests exclusively

0:24:58.880 --> 0:25:02.760
<v Speaker 3>in startups addressing climate, health and finances. I always ask

0:25:02.840 --> 0:25:05.640
<v Speaker 3>this question. In the Middle East there is a really

0:25:05.640 --> 0:25:09.040
<v Speaker 3>important meeting of world leaders going on and business leaders,

0:25:09.520 --> 0:25:12.280
<v Speaker 3>and at the other end of the chain, you're investing.

0:25:12.600 --> 0:25:15.040
<v Speaker 3>How much attention do you pay to what's going on

0:25:15.119 --> 0:25:16.040
<v Speaker 3>in Dubai right now?

0:25:16.359 --> 0:25:18.600
<v Speaker 1>Yeah? I think all eyes are on Dubai right now.

0:25:18.680 --> 0:25:20.919
<v Speaker 1>For sure. They're trying to solve the biggest challenge of

0:25:20.960 --> 0:25:24.240
<v Speaker 1>our generation, climate change, and when we try to tie

0:25:24.240 --> 0:25:26.960
<v Speaker 1>it together, what I'm focused on is watching how many

0:25:27.000 --> 0:25:30.000
<v Speaker 1>founders are headed over this year. That's very different than

0:25:30.000 --> 0:25:33.159
<v Speaker 1>in the past. We're seeing entrepreneurs from around the world

0:25:33.320 --> 0:25:35.280
<v Speaker 1>deciding this is the place to be right now, and

0:25:35.280 --> 0:25:35.880
<v Speaker 1>that's exciting.

0:25:36.240 --> 0:25:38.600
<v Speaker 3>I moderated a panel at T Economy Climate right at

0:25:38.640 --> 0:25:40.439
<v Speaker 3>the start of the year, and we were considering a

0:25:40.440 --> 0:25:42.960
<v Speaker 3>lot of these big picture items, and the panel was

0:25:43.040 --> 0:25:46.199
<v Speaker 3>split on whether you go for a startup whose future

0:25:46.240 --> 0:25:50.240
<v Speaker 3>is dependent on public subsidy policy but also government money

0:25:50.520 --> 0:25:52.959
<v Speaker 3>paving the way for their future. How do you approach that.

0:25:53.240 --> 0:25:55.720
<v Speaker 1>We look at those as tailwinds. We try to find

0:25:55.760 --> 0:25:57.640
<v Speaker 1>companies that are going to build the future we all

0:25:57.680 --> 0:26:00.159
<v Speaker 1>existed in the world. We do that in fintech, we

0:26:00.160 --> 0:26:02.080
<v Speaker 1>do that in healthcare, we do it a lot in climate.

0:26:02.280 --> 0:26:04.600
<v Speaker 1>But when we think about subsidies, whether it's in healthcare,

0:26:04.680 --> 0:26:07.200
<v Speaker 1>whether it's in climate, those are add ons. We don't

0:26:07.200 --> 0:26:09.600
<v Speaker 1>rely on them as the sole business model.

0:26:10.480 --> 0:26:13.240
<v Speaker 2>Of course, there's much handwringing at the moment Andrew about

0:26:13.280 --> 0:26:17.439
<v Speaker 2>ultimately what events such as COP twenty eight can ultimately

0:26:17.840 --> 0:26:20.880
<v Speaker 2>achieve in terms of agreement and indeed policy. But then

0:26:20.920 --> 0:26:25.280
<v Speaker 2>in terms of incentivizing corporate and corporate America at that

0:26:25.720 --> 0:26:29.960
<v Speaker 2>how are you seeing companies still marching towards a focus

0:26:30.000 --> 0:26:32.600
<v Speaker 2>on climate change, even though perhaps the political environments changed

0:26:32.600 --> 0:26:33.159
<v Speaker 2>somewhat on it.

0:26:34.320 --> 0:26:36.119
<v Speaker 1>Look, we've been doing this a long time. I was

0:26:36.160 --> 0:26:38.680
<v Speaker 1>an entrepreneur in the solar space in two thousand and two.

0:26:38.880 --> 0:26:41.800
<v Speaker 1>Climate change was like a thermostat setting at that point. Right,

0:26:42.000 --> 0:26:44.600
<v Speaker 1>we've come a long long way. We've seen two orders

0:26:44.600 --> 0:26:47.680
<v Speaker 1>of magnitude cost reductions in solar and wind, and these

0:26:47.680 --> 0:26:51.120
<v Speaker 1>are now the cheapest solutions out there. So not only

0:26:51.119 --> 0:26:54.679
<v Speaker 1>are we seeing corporations show up looking for solutions and

0:26:54.720 --> 0:26:57.439
<v Speaker 1>I think showing up in mass in Dubai looking for

0:26:57.480 --> 0:27:00.520
<v Speaker 1>solutions and asking each other almost Davos like trying to

0:27:00.520 --> 0:27:03.080
<v Speaker 1>find the answer, trying to solve the puzzle. But we

0:27:03.119 --> 0:27:06.520
<v Speaker 1>see founders in Silicon Valley and around the world showing

0:27:06.600 --> 0:27:10.160
<v Speaker 1>up with incredible ideas to help transform our global economy.

0:27:10.320 --> 0:27:12.960
<v Speaker 2>Let's dig into those ideas. Because you're someone who's led

0:27:13.320 --> 0:27:16.359
<v Speaker 2>change a big business. I think how you're leading distributed

0:27:16.440 --> 0:27:18.400
<v Speaker 2>generation over at what is I mean the largest clean

0:27:18.480 --> 0:27:20.439
<v Speaker 2>energy develop here in America. But when you're looking at

0:27:20.440 --> 0:27:24.600
<v Speaker 2>the startups Andrew, where is the innovation coming? What problems

0:27:24.720 --> 0:27:26.760
<v Speaker 2>are we not seeing that are avaiable to be fixed?

0:27:26.960 --> 0:27:30.280
<v Speaker 1>Silicon Valley spent the last twenty years digitizing the global

0:27:30.320 --> 0:27:33.280
<v Speaker 1>economy now we're going to decarbonize it, and I think

0:27:33.320 --> 0:27:35.399
<v Speaker 1>we're sort of in early innings, even though it's been

0:27:35.400 --> 0:27:38.720
<v Speaker 1>about a decade of huge growth. I think McKenzie and

0:27:38.760 --> 0:27:41.000
<v Speaker 1>Goldman are talking about a trillion to a trillion and

0:27:41.000 --> 0:27:44.359
<v Speaker 1>a half dollars of new investment every year just to

0:27:44.400 --> 0:27:47.720
<v Speaker 1>decarbonize the energy sector. And we feel that well underway.

0:27:47.800 --> 0:27:50.880
<v Speaker 1>Solar and wind are now much more cost effective than

0:27:51.240 --> 0:27:53.359
<v Speaker 1>coal and natural gas in most of the world. For

0:27:53.440 --> 0:27:55.760
<v Speaker 1>new generation. You guys have had a lot of discussion

0:27:55.800 --> 0:27:59.000
<v Speaker 1>already this morning on electric vehicles and we're seeing that

0:27:59.040 --> 0:28:02.639
<v Speaker 1>transformation really start to take hold. Those are areas that

0:28:02.680 --> 0:28:05.919
<v Speaker 1>we're very excited about. I would just mention three things. Mobility.

0:28:06.000 --> 0:28:09.160
<v Speaker 1>We love the electrification of everything. There's a lot more

0:28:09.160 --> 0:28:12.760
<v Speaker 1>to do to electrify every form of transportation around the world.

0:28:13.040 --> 0:28:16.080
<v Speaker 1>We're very interested in scale finding ways that we can

0:28:16.119 --> 0:28:19.560
<v Speaker 1>get past all of the bottlenecks, particularly on the electricity grid.

0:28:19.720 --> 0:28:22.640
<v Speaker 1>There's a lot of startup work going on in software

0:28:22.680 --> 0:28:25.040
<v Speaker 1>and hardware to blow past a lot of the bottlenecks

0:28:25.080 --> 0:28:28.000
<v Speaker 1>that we're facing. And then of course, AI, AI and

0:28:28.040 --> 0:28:30.480
<v Speaker 1>climate there's a really exciting well intersect.

0:28:30.560 --> 0:28:33.639
<v Speaker 3>Let me jump in here we discussed a generative AI tool,

0:28:33.800 --> 0:28:35.879
<v Speaker 3>or at least the underpinnings of a large language model,

0:28:36.119 --> 0:28:39.480
<v Speaker 3>is an accelerant in the healthcare or biotech space. The

0:28:39.680 --> 0:28:44.280
<v Speaker 3>use cases are obvious. Less obvious is how AI actually

0:28:44.600 --> 0:28:49.760
<v Speaker 3>accelerates climate tech, makes it come to market quicker or otherwise.

0:28:49.840 --> 0:28:52.720
<v Speaker 1>That's right. I mean we've been early on in using

0:28:52.760 --> 0:28:55.640
<v Speaker 1>AI in different fields. We were early in recursion pharmaceuticals

0:28:55.880 --> 0:28:57.560
<v Speaker 1>and they did that in the healthcare space. I think

0:28:57.560 --> 0:28:59.640
<v Speaker 1>you're going to see a lot of companies show up

0:28:59.640 --> 0:29:02.600
<v Speaker 1>in client with some similar ideas. There'll be deep tech

0:29:02.640 --> 0:29:05.160
<v Speaker 1>concepts how we use AI to help and generative AI

0:29:05.240 --> 0:29:08.400
<v Speaker 1>to help us think through things like battery chemistry. But

0:29:08.480 --> 0:29:10.760
<v Speaker 1>I also think there's a lot in the information sector

0:29:10.840 --> 0:29:13.640
<v Speaker 1>that will be very exciting, crossing AI and all of

0:29:13.680 --> 0:29:16.360
<v Speaker 1>the things like Bloomberg New Energy Finance and Bloomberg and Green.

0:29:17.080 --> 0:29:19.840
<v Speaker 1>There'll be AI attached to that because big companies are

0:29:19.840 --> 0:29:22.360
<v Speaker 1>looking to AI for solutions and we're not ready yet,

0:29:22.400 --> 0:29:24.720
<v Speaker 1>but we will have some announcements soon about an investment

0:29:24.760 --> 0:29:25.360
<v Speaker 1>in that space.

0:29:25.400 --> 0:29:27.440
<v Speaker 3>And when you have those announcements, you know where to

0:29:27.440 --> 0:29:30.000
<v Speaker 3>find us here at Bloombay Technology. Come Back Andrew Beebe

0:29:30.200 --> 0:29:32.160
<v Speaker 3>of Obvious ventsis thank you so much for your time.

0:29:32.200 --> 0:29:35.760
<v Speaker 3>Now sticking with technology that addresses climate and climate change.

0:29:35.760 --> 0:29:39.240
<v Speaker 3>A cutting edge AI named Athena has been enlisted in

0:29:39.280 --> 0:29:43.000
<v Speaker 3>the battle against bushfires in Australia as it braces for

0:29:43.040 --> 0:29:46.040
<v Speaker 3>an escalating fire hazard this summer. I have listened to this.

0:29:48.320 --> 0:29:51.480
<v Speaker 10>It went down in history as Australia's Black Summer, a

0:29:51.600 --> 0:29:54.560
<v Speaker 10>nineteen week period in late twenty nineteen and early twenty

0:29:54.640 --> 0:29:58.160
<v Speaker 10>twenty when twenty four million hectares of the country burned.

0:29:58.680 --> 0:30:01.400
<v Speaker 10>That's an area half the sign of California or the

0:30:01.600 --> 0:30:05.920
<v Speaker 10>entire United Kingdom. The smoke circled the globe. Now the

0:30:05.960 --> 0:30:08.800
<v Speaker 10>stage is set for a possible repeat. This map from

0:30:08.840 --> 0:30:12.240
<v Speaker 10>the National Council for Fire and Emergency Services showing large

0:30:12.320 --> 0:30:16.640
<v Speaker 10>areas of Australia facing increased fire risk. Bloomberg Economics is

0:30:16.720 --> 0:30:20.160
<v Speaker 10>forecasting property and casualty insurance costs in Australia to the

0:30:20.200 --> 0:30:23.080
<v Speaker 10>year ending June twenty twenty four could be well above

0:30:23.160 --> 0:30:25.560
<v Speaker 10>the ten year average of three billion dollars.

0:30:26.040 --> 0:30:29.560
<v Speaker 11>So this FIA season, we've seen a significant drying out

0:30:29.600 --> 0:30:33.440
<v Speaker 11>of the landscape following three years of above average rainfall.

0:30:33.600 --> 0:30:35.280
<v Speaker 3>That's particularly that bive.

0:30:35.000 --> 0:30:39.680
<v Speaker 11>Average rainfall has promoted grass growth and an obviously increase

0:30:39.720 --> 0:30:42.600
<v Speaker 11>in fuel, and then we've started to see really dry

0:30:43.800 --> 0:30:47.000
<v Speaker 11>spring went through there into spring, so we're seeing an

0:30:47.040 --> 0:30:47.960
<v Speaker 11>elevated risk.

0:30:48.240 --> 0:30:51.640
<v Speaker 10>To help combat that risk, the Fire Service has commissioned Athena,

0:30:51.880 --> 0:30:56.960
<v Speaker 10>a world first firefighting AI. Athena analyzes data from weather forecasts,

0:30:57.040 --> 0:31:01.400
<v Speaker 10>wind direction, terrain structures, populated areas and even social media

0:31:01.440 --> 0:31:04.640
<v Speaker 10>feeds to predict the fire's next move and what's at risk.

0:31:05.160 --> 0:31:07.440
<v Speaker 12>It takes a map of those fires and it then

0:31:07.520 --> 0:31:11.760
<v Speaker 12>predicts what they'll do over two hours, four hours, twelve hours,

0:31:12.040 --> 0:31:15.960
<v Speaker 12>and it will also tell us what structures or assets

0:31:16.000 --> 0:31:18.840
<v Speaker 12>will come into threat. That we can have more than

0:31:18.840 --> 0:31:21.280
<v Speaker 12>one hundred fires burning at any one time and this

0:31:21.400 --> 0:31:24.800
<v Speaker 12>stops us potentially making any mistakes or missing something.

0:31:25.040 --> 0:31:28.760
<v Speaker 10>Pathena's modeling is also supported by data provided by the Pyrotron,

0:31:29.080 --> 0:31:32.280
<v Speaker 10>a bush fire simulator built after Black Summer by government

0:31:32.360 --> 0:31:36.080
<v Speaker 10>research body the CSIRO. The Fire Service is also outed

0:31:36.120 --> 0:31:40.520
<v Speaker 10>Australia's largest firefighting helicopter for the coming summer, hoping history

0:31:40.560 --> 0:31:43.160
<v Speaker 10>doesn't repeat, but ready in case it does.

0:31:43.600 --> 0:31:48.040
<v Speaker 2>Paul Out on Bloomberg, Sydney Now coming up more on AI,

0:31:48.320 --> 0:31:51.600
<v Speaker 2>but chutch Ept's version it was made of course accessible

0:31:51.840 --> 0:31:54.080
<v Speaker 2>to the general public a year and a day ago,

0:31:54.120 --> 0:31:56.360
<v Speaker 2>and the AI praise it hasn't phased out since we're

0:31:56.360 --> 0:31:57.600
<v Speaker 2>going to discuss all of that next.

0:31:57.840 --> 0:32:26.240
<v Speaker 13>This is Bloombo Technology.

0:32:14.200 --> 0:32:16.760
<v Speaker 2>Time now for our VC roundup and Louis Bacon's more

0:32:16.760 --> 0:32:20.280
<v Speaker 2>Capital Management and the publisher of the British tabloid Daily Mail,

0:32:20.440 --> 0:32:23.360
<v Speaker 2>when they're launching a new venture fund called Renowned Capital Partners.

0:32:23.360 --> 0:32:24.040
<v Speaker 4>That's according to.

0:32:24.000 --> 0:32:26.960
<v Speaker 2>Sources, the fund will invest in early and growth stage

0:32:27.000 --> 0:32:31.120
<v Speaker 2>private companies focused on the world's transition to clean energy. Plus,

0:32:31.160 --> 0:32:34.440
<v Speaker 2>Pakistan is launching a VC fund for local early stage

0:32:34.480 --> 0:32:36.960
<v Speaker 2>startups in an effort to lure global investors back, and

0:32:37.000 --> 0:32:39.240
<v Speaker 2>the government said the firm fund is aiming to allocate

0:32:39.240 --> 0:32:40.000
<v Speaker 2>as much as ten.

0:32:39.880 --> 0:32:41.080
<v Speaker 4>Million dollars annually.

0:32:41.720 --> 0:32:45.080
<v Speaker 2>And the Biden administration has forced Prosperity seven. Now that's

0:32:45.080 --> 0:32:48.080
<v Speaker 2>Saudi a Ramco's VC firm to sell it shares in

0:32:48.120 --> 0:32:50.719
<v Speaker 2>an AI startup rain Ai. That's of course back by

0:32:50.760 --> 0:32:53.440
<v Speaker 2>Open Ai and co founder Sam Altman. This exit the

0:32:53.600 --> 0:32:57.520
<v Speaker 2>kind of broader implications really for Saudi Arabia's growing investments

0:32:57.520 --> 0:33:00.160
<v Speaker 2>in US technology and its close to ties which.

0:33:00.720 --> 0:33:02.800
<v Speaker 3>Ed we have you got an AI well a lot

0:33:02.800 --> 0:33:06.640
<v Speaker 3>more to talk about and look, Sam Altman, one year

0:33:06.680 --> 0:33:10.120
<v Speaker 3>of chat GBT being released Open Ai, as you said,

0:33:10.160 --> 0:33:12.680
<v Speaker 3>Carra released chat GBT to the public a year and

0:33:12.720 --> 0:33:15.680
<v Speaker 3>a day ago. The AI crise has not stopped. Millions

0:33:15.720 --> 0:33:19.600
<v Speaker 3>of people, intellectual capital, real capital money has poured into

0:33:19.640 --> 0:33:21.800
<v Speaker 3>this industry from all over the world in a twelve

0:33:21.840 --> 0:33:25.480
<v Speaker 3>month span. Let's keep the conversation going and bringing Dan O'Connell,

0:33:25.560 --> 0:33:29.040
<v Speaker 3>whose chief artificial intelligence and strategy officer for dial Pad

0:33:29.080 --> 0:33:32.040
<v Speaker 3>AI Unicorn valued at two point two billion, backed by

0:33:32.040 --> 0:33:35.920
<v Speaker 3>Indres and Horowitz, Google Ventures and Iconic. I know that

0:33:35.960 --> 0:33:37.920
<v Speaker 3>you guys would say we were in AI earlier than that.

0:33:38.400 --> 0:33:40.440
<v Speaker 3>We're an AI company our own right, But I just

0:33:40.560 --> 0:33:43.160
<v Speaker 3>ask you to reflect on the last twelve months, even

0:33:43.200 --> 0:33:45.840
<v Speaker 3>if it's through the lens of your own AI company,

0:33:45.920 --> 0:33:47.479
<v Speaker 3>based on what open ai has done.

0:33:47.720 --> 0:33:50.120
<v Speaker 14>Yeah, I think what has happened over the past twelve

0:33:50.200 --> 0:33:54.000
<v Speaker 14>months is democratization of AI, where I think everybody on

0:33:54.040 --> 0:33:57.840
<v Speaker 14>the planet suddenly sees the opportunity of it AI can

0:33:57.880 --> 0:34:01.080
<v Speaker 14>bring and a craft pretty much every piece of software

0:34:01.080 --> 0:34:02.920
<v Speaker 14>in every industry that's there. So I think the hype

0:34:03.000 --> 0:34:05.680
<v Speaker 14>is real and we're going to see lifts proliferate over

0:34:05.720 --> 0:34:07.560
<v Speaker 14>the next you know, in the next couple of years.

0:34:07.800 --> 0:34:09.640
<v Speaker 3>Caroline and I always want to approach this from a

0:34:09.640 --> 0:34:13.279
<v Speaker 3>technology perspective. You have built your own foundation model at

0:34:13.280 --> 0:34:16.960
<v Speaker 3>ann you call it Dialpad GPT. You did that yourselves.

0:34:17.000 --> 0:34:19.839
<v Speaker 3>But there's always a choice, you know, go to open

0:34:19.880 --> 0:34:22.880
<v Speaker 3>AI or another open source platform. Why do it yourself.

0:34:23.120 --> 0:34:26.239
<v Speaker 14>Yeah, Fortunately we have been in AI for a number

0:34:26.280 --> 0:34:29.560
<v Speaker 14>of years. Dell Pad acquired my business, which was one

0:34:29.560 --> 0:34:31.520
<v Speaker 14>of the first real tends to be trek emission engines

0:34:31.520 --> 0:34:34.640
<v Speaker 14>called Talkaq in twenty eighteen. So fortunately at that time

0:34:34.680 --> 0:34:37.840
<v Speaker 14>we sat on this proprietary data set. We had a

0:34:37.880 --> 0:34:40.680
<v Speaker 14>team that knew about these technologies and how to leverage them,

0:34:40.760 --> 0:34:43.719
<v Speaker 14>and it became really evident for us that, look, we

0:34:43.760 --> 0:34:45.719
<v Speaker 14>don't want to have when we talked about AI, we

0:34:45.719 --> 0:34:48.080
<v Speaker 14>don't want to be a wrapper around a third party API.

0:34:48.200 --> 0:34:51.520
<v Speaker 14>We want to control our innovation. We want to control

0:34:51.680 --> 0:34:54.360
<v Speaker 14>the price and the scalability and the accessibility of that.

0:34:54.400 --> 0:34:58.160
<v Speaker 14>And so I think AI is a fundamental differentiation in

0:34:58.200 --> 0:35:00.920
<v Speaker 14>the market and we want to own that piece ourselves

0:35:00.960 --> 0:35:03.719
<v Speaker 14>because we believe that we can provide a better and

0:35:03.840 --> 0:35:05.880
<v Speaker 14>enhanced experience to every one of our customers.

0:35:06.120 --> 0:35:08.719
<v Speaker 2>And I think a lot of the wrapper companies have

0:35:08.840 --> 0:35:11.680
<v Speaker 2>perhaps realized the reasoning behind that of laid down.

0:35:11.719 --> 0:35:13.280
<v Speaker 4>But what about the competition?

0:35:13.440 --> 0:35:15.960
<v Speaker 2>How much more fast and furious has it become for

0:35:16.000 --> 0:35:17.400
<v Speaker 2>you in the last twelve months.

0:35:18.120 --> 0:35:20.879
<v Speaker 14>Absolutely, I think it's a talent war right now out

0:35:20.880 --> 0:35:23.319
<v Speaker 14>there in terms of finding people that know how to

0:35:23.400 --> 0:35:26.000
<v Speaker 14>leverage these technologies. You know, when you talk about AI

0:35:26.080 --> 0:35:29.560
<v Speaker 14>experts and understand natural language processing and speech recognition and

0:35:29.640 --> 0:35:33.399
<v Speaker 14>large language models, there's probably thousands of them, and that's

0:35:33.400 --> 0:35:36.120
<v Speaker 14>going to obviously proliferate and step over the course of

0:35:36.160 --> 0:35:37.040
<v Speaker 14>the next couple of years.

0:35:37.040 --> 0:35:38.279
<v Speaker 1>But very much so.

0:35:38.640 --> 0:35:41.600
<v Speaker 14>The worry that is out there is, look, do these

0:35:41.800 --> 0:35:45.480
<v Speaker 14>large language models available as an API suddenly make AI

0:35:45.560 --> 0:35:46.520
<v Speaker 14>easy for everybody?

0:35:46.600 --> 0:35:47.880
<v Speaker 1>And I don't think that's the case.

0:35:47.920 --> 0:35:50.319
<v Speaker 14>I think these large language models are good at some

0:35:50.480 --> 0:35:53.479
<v Speaker 14>very horizontal use cases. But I think what you'll see

0:35:53.480 --> 0:35:55.480
<v Speaker 14>play out over the course of this next year is

0:35:55.560 --> 0:35:58.920
<v Speaker 14>proprietary large language models that are going to be industry

0:35:58.960 --> 0:36:01.680
<v Speaker 14>specific and use case specific. Much of what we've done

0:36:01.920 --> 0:36:03.839
<v Speaker 14>much similar to our approach and dial pad.

0:36:04.280 --> 0:36:08.800
<v Speaker 2>What about big corporates desire to actually build themselves too,

0:36:09.320 --> 0:36:11.279
<v Speaker 2>and the fact that we now have open source and

0:36:11.280 --> 0:36:12.400
<v Speaker 2>closed source offerings.

0:36:12.880 --> 0:36:14.239
<v Speaker 4>Have you been impressed by the.

0:36:14.200 --> 0:36:16.840
<v Speaker 2>Fact that certain CTOs wanted to do themselves? How have

0:36:16.920 --> 0:36:20.200
<v Speaker 2>you found that sales discussion with some of the companies

0:36:20.200 --> 0:36:20.839
<v Speaker 2>that you work with.

0:36:21.800 --> 0:36:24.399
<v Speaker 14>Yeah, And I don't think there's a right or wrong

0:36:24.440 --> 0:36:26.600
<v Speaker 14>approach at this moment in time. You know, Fortunately for

0:36:27.160 --> 0:36:29.239
<v Speaker 14>dial Pad, we had a team of experts and a

0:36:29.320 --> 0:36:31.600
<v Speaker 14>proprietary data sent then know how to do this. And

0:36:31.640 --> 0:36:34.480
<v Speaker 14>I think, you know, some startups are going to approach

0:36:34.520 --> 0:36:38.600
<v Speaker 14>a foundational model today through open AI or anthropic or

0:36:38.640 --> 0:36:42.480
<v Speaker 14>Inflection or Google Vertex, And I think that the question

0:36:42.600 --> 0:36:45.439
<v Speaker 14>is going to be whether those foundational models are going

0:36:45.480 --> 0:36:48.680
<v Speaker 14>to provide use case specific or industry.

0:36:48.320 --> 0:36:50.120
<v Speaker 3>Well and the business as well. Right, you know, you

0:36:50.160 --> 0:36:52.520
<v Speaker 3>start your career at Google two thousand and three. Everyone

0:36:52.560 --> 0:36:55.040
<v Speaker 3>that I speak to you in ad sales, yep. Everyone

0:36:55.080 --> 0:36:56.400
<v Speaker 3>I speak to at that time is like, well, we

0:36:56.440 --> 0:36:59.360
<v Speaker 3>were kicking around the hacky sack and chatting about AI

0:36:59.440 --> 0:37:01.800
<v Speaker 3>and a bigger pig away, and we're now going to

0:37:01.840 --> 0:37:03.000
<v Speaker 3>make money from this venture.

0:37:03.200 --> 0:37:03.399
<v Speaker 1>Yep.

0:37:03.719 --> 0:37:05.800
<v Speaker 14>And I think the case is like when you're talking

0:37:05.800 --> 0:37:09.720
<v Speaker 14>about the biggest opportunity is I think in contact center

0:37:09.760 --> 0:37:14.000
<v Speaker 14>in sales organizations to say, look, we can provide instant

0:37:14.239 --> 0:37:17.759
<v Speaker 14>the ability to instantly infer customer satisfaction from any conversation,

0:37:17.960 --> 0:37:21.160
<v Speaker 14>never send out a survey. We can guide people through conversations,

0:37:21.200 --> 0:37:24.080
<v Speaker 14>we can automate the note taking into a system of record,

0:37:24.120 --> 0:37:27.360
<v Speaker 14>and those are things that every business on a planet

0:37:27.400 --> 0:37:28.800
<v Speaker 14>in sales and support struggles.

0:37:28.800 --> 0:37:29.920
<v Speaker 4>With Dan O.

0:37:29.960 --> 0:37:32.960
<v Speaker 2>Connell, we thank you for some of those insights and

0:37:32.960 --> 0:37:34.759
<v Speaker 2>looking back on the past twelve months, looking forward to

0:37:34.800 --> 0:37:37.160
<v Speaker 2>a chief ourtificial Intelligence and strategy officer over.

0:37:37.000 --> 0:37:38.200
<v Speaker 4>At dllpad.

0:37:46.160 --> 0:37:48.319
<v Speaker 3>Okay, so news that cross the Bloomberg in the last hour,

0:37:48.360 --> 0:37:52.080
<v Speaker 3>Walmart says that it isn't advertising on x. That's according

0:37:52.120 --> 0:37:54.640
<v Speaker 3>to a router's report in which they cite a spokesperson

0:37:54.960 --> 0:37:59.400
<v Speaker 3>who says Walmart has found better use of other platforms

0:37:59.400 --> 0:38:02.839
<v Speaker 3>to reach their customers. It comes the day after Linda

0:38:02.880 --> 0:38:06.480
<v Speaker 3>Yakarimo sent a memo to staff backing Elon Musk on

0:38:06.600 --> 0:38:11.800
<v Speaker 3>his expletive laden message to advertise. Lets bring in Bloomberg's

0:38:11.800 --> 0:38:15.360
<v Speaker 3>tech editor Sarah Fryar together we report on this memo.

0:38:15.480 --> 0:38:16.760
<v Speaker 3>What are the big takeaways?

0:38:17.719 --> 0:38:22.960
<v Speaker 15>Well, basically, Linda Yakarino is trying to spin the Yvon

0:38:23.160 --> 0:38:28.880
<v Speaker 15>Must appearance a deal book in which he told advertisers.

0:38:28.160 --> 0:38:31.120
<v Speaker 4>To go f themselves if.

0:38:31.080 --> 0:38:34.719
<v Speaker 15>They don't want to spend money on X, and that

0:38:35.520 --> 0:38:38.800
<v Speaker 15>if the company fails, it will be their fault. And

0:38:40.280 --> 0:38:44.360
<v Speaker 15>Yakarino speaks to staff calling this this appearance at the

0:38:44.360 --> 0:38:49.000
<v Speaker 15>conference candid and profound. She said, our principles do not

0:38:49.160 --> 0:38:53.800
<v Speaker 15>have a price tag. So essentially she is backing Musk

0:38:53.840 --> 0:38:56.239
<v Speaker 15>and saying, Okay, yeah, advertisers, if you don't like the

0:38:56.280 --> 0:38:58.799
<v Speaker 15>way we work, go spend your money somewhere else. And

0:38:59.000 --> 0:39:01.520
<v Speaker 15>Walmart here is so sure we'll do that.

0:39:01.680 --> 0:39:01.960
<v Speaker 12>I mean.

0:39:02.560 --> 0:39:04.560
<v Speaker 15>The reason the thing you have to remember here is

0:39:04.560 --> 0:39:09.319
<v Speaker 15>that Twitter ads are not really as effective in many

0:39:09.480 --> 0:39:13.760
<v Speaker 15>for many businesses as ads on Meta as on Google,

0:39:13.800 --> 0:39:17.439
<v Speaker 15>because the targeting is just not as specific. They work

0:39:17.520 --> 0:39:21.000
<v Speaker 15>really well for events, they work really well for say,

0:39:21.000 --> 0:39:23.320
<v Speaker 15>if there's the super Bowl. You have all the tension

0:39:23.360 --> 0:39:26.920
<v Speaker 15>here for big brands, So for a company like Walmart

0:39:27.000 --> 0:39:29.719
<v Speaker 15>you could see some effectiveness potentially, but when you get

0:39:29.719 --> 0:39:32.560
<v Speaker 15>down to that specific micro targeting that other companies are

0:39:32.560 --> 0:39:37.440
<v Speaker 15>able to do, it's kind of easy to knock Twitter

0:39:37.480 --> 0:39:41.879
<v Speaker 15>out of your budget and decide to go elsewhere, which

0:39:41.920 --> 0:39:47.360
<v Speaker 15>is why it's more I guess risky for somebody like

0:39:47.560 --> 0:39:50.520
<v Speaker 15>Lindia Karino to come out and say to dare them

0:39:50.600 --> 0:39:52.480
<v Speaker 15>essentially to take their money away.

0:39:52.560 --> 0:39:55.720
<v Speaker 2>Certainly not afraid of making her own role that much harder,

0:39:55.719 --> 0:39:58.279
<v Speaker 2>it seems, say we thank you so much for the

0:39:58.320 --> 0:40:00.440
<v Speaker 2>breaking that down on the memo that, in fact, when

0:40:00.440 --> 0:40:03.440
<v Speaker 2>had Ludloe had written that. Meanwhile, I mean from concerns

0:40:03.480 --> 0:40:07.920
<v Speaker 2>about X perhaps a lord that surrounding misinformation on the platform,

0:40:08.000 --> 0:40:10.360
<v Speaker 2>We're going to talk now about some bloodlines for billions

0:40:10.360 --> 0:40:12.200
<v Speaker 2>of people when they're seeking facts. When it comes to

0:40:12.239 --> 0:40:14.799
<v Speaker 2>AI images, they're flooding the web right now, and it's

0:40:14.800 --> 0:40:17.360
<v Speaker 2>proving pretty key for Google, isn't it. The Bloomberg opinion

0:40:17.360 --> 0:40:20.320
<v Speaker 2>writers Pame Olson and laying Hey, they've created this quiz

0:40:20.400 --> 0:40:24.239
<v Speaker 2>on the Bloomberg using real and AI photos to just

0:40:24.280 --> 0:40:27.600
<v Speaker 2>show like how hard it is to distinguish that the

0:40:27.760 --> 0:40:29.840
<v Speaker 2>currently I mean, look at them at the moment, which.

0:40:29.680 --> 0:40:33.120
<v Speaker 3>Will hold on, let's try it out. Yeah, float like

0:40:33.200 --> 0:40:35.960
<v Speaker 3>a butterfly, sting like a b A is definitely the

0:40:36.040 --> 0:40:37.320
<v Speaker 3>legit one. A.

0:40:37.440 --> 0:40:38.440
<v Speaker 4>I would say that one.

0:40:38.520 --> 0:40:43.479
<v Speaker 2>Yeah, I'd say a boom next, Oh, I mean Maya

0:40:43.520 --> 0:40:46.719
<v Speaker 2>Angela had I read at a wedding. I'm going to

0:40:46.760 --> 0:40:48.240
<v Speaker 2>say B is the real one there.

0:40:49.040 --> 0:40:52.160
<v Speaker 3>And one of them is AI generated Oh nice, Okay.

0:40:51.960 --> 0:40:57.480
<v Speaker 2>Manage this one's harder Joan of Arc. Now, to be honest, I'm.

0:40:58.120 --> 0:41:01.200
<v Speaker 3>Around as you are. Yeah, I wasn't around at the

0:41:01.239 --> 0:41:04.640
<v Speaker 3>time of Joan of Arc and they're both painting. I

0:41:04.680 --> 0:41:06.200
<v Speaker 3>would go with A. Let's go with A.

0:41:06.560 --> 0:41:08.960
<v Speaker 4>Okay, are you right? Oh, look, we're cleaning up on

0:41:09.040 --> 0:41:09.600
<v Speaker 4>this one.

0:41:10.080 --> 0:41:12.279
<v Speaker 2>And now, okay, Napoleon Bonaparte.

0:41:12.680 --> 0:41:13.279
<v Speaker 4>I'm going to go B.

0:41:14.800 --> 0:41:17.280
<v Speaker 3>Sure we got it wrong.

0:41:17.400 --> 0:41:20.560
<v Speaker 2>Okay, there's our first dud. This one, I think is.

0:41:20.560 --> 0:41:21.200
<v Speaker 3>This is hard.

0:41:21.520 --> 0:41:22.360
<v Speaker 4>I think it's obvious.

0:41:22.800 --> 0:41:26.160
<v Speaker 3>Okay, go ahead, go ahead. I think it's B.

0:41:27.120 --> 0:41:29.279
<v Speaker 2>I would be right. But actually that's quite a good one.

0:41:29.320 --> 0:41:31.880
<v Speaker 2>That is to ultimately, wa guess that one's AI or not.

0:41:32.600 --> 0:41:34.960
<v Speaker 3>B is clearly high definition. Let's make this the final one.

0:41:35.719 --> 0:41:35.919
<v Speaker 12>One.

0:41:36.000 --> 0:41:36.960
<v Speaker 4>Come on, we can do this.

0:41:38.239 --> 0:41:42.160
<v Speaker 3>It's hard. B oh, I think that.

0:41:42.200 --> 0:41:42.920
<v Speaker 4>Might be right ed.

0:41:43.120 --> 0:41:45.560
<v Speaker 2>At least we've got Winston Churchill right, But that actually

0:41:45.600 --> 0:41:49.520
<v Speaker 2>is showing just ultimately how easy it is to fool

0:41:49.640 --> 0:41:51.520
<v Speaker 2>to make it difficult. The fact that we already got

0:41:51.520 --> 0:41:53.000
<v Speaker 2>one wrong in general. I think I went through it

0:41:53.000 --> 0:41:55.640
<v Speaker 2>and got like eight out of ten. But what's notable

0:41:55.719 --> 0:42:00.279
<v Speaker 2>is some AI creative photos are becoming the most popular

0:42:00.400 --> 0:42:04.000
<v Speaker 2>answer on Google now because people are being so confused

0:42:04.000 --> 0:42:06.640
<v Speaker 2>by them. The peace really leads in particular with the

0:42:07.320 --> 0:42:10.239
<v Speaker 2>selfie of a main image now that comes up for

0:42:10.440 --> 0:42:12.680
<v Speaker 2>tank Man. Now, of course this is meant to be

0:42:13.000 --> 0:42:15.760
<v Speaker 2>originally a very famous photo that now is an AI

0:42:15.880 --> 0:42:18.920
<v Speaker 2>selfie that's on there must be proving totally misineeding.

0:42:19.960 --> 0:42:21.960
<v Speaker 3>So the point is it's a fantastic tool if you

0:42:22.040 --> 0:42:24.760
<v Speaker 3>go perfectly to create something, but if you see something

0:42:24.760 --> 0:42:29.200
<v Speaker 3>in circulation on social media, it's about authenticating it, knowing

0:42:29.239 --> 0:42:31.399
<v Speaker 3>that it's real, the story that you and I tell

0:42:31.440 --> 0:42:32.640
<v Speaker 3>on this show every single week.

0:42:32.960 --> 0:42:35.400
<v Speaker 2>And ultimately it's down to a companies such as Google

0:42:35.480 --> 0:42:38.120
<v Speaker 2>that thinks of itself as the AI prowess to be

0:42:38.160 --> 0:42:41.239
<v Speaker 2>able to tackle the AI issues that are currently being

0:42:41.600 --> 0:42:43.799
<v Speaker 2>born out for its own platform with a technology. But

0:42:44.239 --> 0:42:45.880
<v Speaker 2>I mean, that was a fun way to end. What

0:42:46.000 --> 0:42:47.560
<v Speaker 2>is this edition of BlueBag Technology?

0:42:48.200 --> 0:42:50.480
<v Speaker 3>Don't forget and thank you for listening to the podcast

0:42:50.520 --> 0:42:53.040
<v Speaker 3>wherever you're getting your podcasts from New York City and

0:42:53.080 --> 0:42:55.520
<v Speaker 3>San Francisco this is Bloomberg Technology,