WEBVTT - US-China Tensions and NYC's New AI Law

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<v Speaker 1>That's really what's so exciting about this launch for a

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<v Speaker 1>lot of people who have been disillusioned with the updates

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<v Speaker 1>at Twitter as of late. I mean, they have tried

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<v Speaker 1>platforms like Masdon, like Blue Sky, like Post, you name it.

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<v Speaker 1>There's so many Twitter competitors out there that haven't quite

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<v Speaker 1>gotten the network that they need to truly be a

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<v Speaker 1>threat to Twitter. And here is Meta, which has upwards

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<v Speaker 1>of three billion users on its products around the world,

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<v Speaker 1>and Instagram, which has a following structure similar to Twitter,

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<v Speaker 1>where where unlike Facebook, where you're friends with the people

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<v Speaker 1>who are friends with you, on Instagram you can follow

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<v Speaker 1>people who are interesting. That is the same as a

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<v Speaker 1>Twitter model. So it makes sense for them to say

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<v Speaker 1>we're having a Twitter copycat app over here, and you

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<v Speaker 1>can choose to follow the same people you follow on Instagram,

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<v Speaker 1>connect with those same people, and keep your handle, keep

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<v Speaker 1>your verification. That it's a very powerful head start for

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<v Speaker 1>this app Threads if people choose to use it, and

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<v Speaker 1>I do think it could be a major threat to Twitter.

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<v Speaker 2>And that's ask you Asha Water.

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<v Speaker 3>I mean, we know Twitter is had to sometimes elicit

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<v Speaker 3>Eve's point, but since Linda Yakarinos come in and take

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<v Speaker 3>over the CEOO role. They have been much more communicative.

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<v Speaker 3>Are you finding that they're worried? People you speak to

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<v Speaker 3>do they see it as a big threat?

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<v Speaker 4>I mean, like Sarah said, I think it is a

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<v Speaker 4>huge threat.

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<v Speaker 5>Right.

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<v Speaker 4>You have the alternatives, as she mentioned posts massed on

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<v Speaker 4>Blue Sky that just did not take off in the

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<v Speaker 4>way that people thought they would. People went to those platforms,

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<v Speaker 4>but then we're not exactly enthused by maybe the user

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<v Speaker 4>experience or not having enough people not being able to

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<v Speaker 4>take over the same handle, and so Integram can come

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<v Speaker 4>in with threads and do all of those things and

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<v Speaker 4>sort of solve a lot of those problems.

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<v Speaker 2>I could see people moving over.

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<v Speaker 4>Twitter has had a lot of changes with the verification

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<v Speaker 4>system and how you get blue check marks, having to

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<v Speaker 4>pay for additional features over the past couple of days.

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<v Speaker 3>Yeah, Asia, just dig into the limited usage because there's

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<v Speaker 3>been more clarification over the holiday day yesterday and over

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<v Speaker 3>the weekends. But what are you hearing about some of

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<v Speaker 3>the pushback against the latest moves that Twitter itself says

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<v Speaker 3>is to ensure authenticity.

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<v Speaker 4>Yeah, I mean, people are not happy about the fact

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<v Speaker 4>that you're gonna be limited in the amount of tweets

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<v Speaker 4>that you can see. And it is supposed to be

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<v Speaker 4>a temporary measure, but the reason people go to Twitter

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<v Speaker 4>is to be able to see tweets and to be

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<v Speaker 4>able to see activity going on, and so when you

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<v Speaker 4>start limiting that, that's concerning. Some people have also said

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<v Speaker 4>maybe advertisers could be concerned about that, right if if

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<v Speaker 4>you there's less tweets, that means there's less ads that

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<v Speaker 4>people are seeing.

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<v Speaker 2>So it it's it's challenging. Now.

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<v Speaker 4>It is temporary. We don't know how long it's gonna last.

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<v Speaker 4>But there has been some pushback just on Twitter and

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<v Speaker 4>just amongst users.

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<v Speaker 3>Sarah talking of pushback, there's who is pushing back in

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<v Speaker 3>the EU. We understand that threads isn't gonna be available

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<v Speaker 3>there as soon as tomorrow. If you're in the EU,

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<v Speaker 3>is this regulators saying no, you can't do this? Is

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<v Speaker 3>a this meta saying we are not bringing our innovation

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<v Speaker 3>to you because of.

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<v Speaker 2>Your stricter regulations.

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<v Speaker 1>I think that that there's a little bit of both

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<v Speaker 1>going on. I think that you know, regulators are are

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<v Speaker 1>certainly concerned and saying, you know, if you're going to

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<v Speaker 1>add this new product in the EU. There are other

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<v Speaker 1>considerations around competition, around the fact that Meta already has

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<v Speaker 1>you know, all of the major social platforms. Do they

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<v Speaker 1>really need another one? There are the concerns about the

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<v Speaker 1>usual privacy details. I think there's just a little bit

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<v Speaker 1>more to work out before they can launch their I

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<v Speaker 1>think I think that, you know, given Meta's global focus,

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<v Speaker 1>they're going to want to launch there eventually, but for now,

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<v Speaker 1>they're going to want to establish this as a product

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<v Speaker 1>that people want to use. And I think it's a

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<v Speaker 1>really interesting time because on the across their other products,

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<v Speaker 1>they're really moving away from tech spased communication in towards

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<v Speaker 1>short form video, and they're trying to take on TikTok

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<v Speaker 1>on Instagram and and Facebook right now, and so threads

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<v Speaker 1>may be an option not just for people who use Twitter,

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<v Speaker 1>but for people who want to just post about their

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<v Speaker 1>lives in a tech based way and find that those

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<v Speaker 1>kinds of content don't do as well on Instagram and

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<v Speaker 1>Facebook the way that they used to. So it could

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<v Speaker 1>be an interesting, more mainstream version of Twitter.

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<v Speaker 3>What about the advertisers, Aisha, How much are companies looking

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<v Speaker 3>to go towards a Meta visa via Twitter?

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<v Speaker 4>Well, I think advertising is a huge opportunity for Meta

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<v Speaker 4>with this right, we advertisers moved off of Twitter. Advertising

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<v Speaker 4>revenue went down significantly since Must took over, he said.

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<v Speaker 4>Some advertisers have come back. A lot of people left

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<v Speaker 4>for all the reasons that we just outlined right, some

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<v Speaker 4>of Must behavior, some of the changes to the platform. Already,

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<v Speaker 4>advertisers are going to some Twitter alternatives. So it's a

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<v Speaker 4>huge risk I think for Twitter if Meta can build

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<v Speaker 4>a competitor and take away some of the issues that

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<v Speaker 4>Twitter had with content moderation and so on.

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<v Speaker 6>And so forth.

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<v Speaker 4>However, Twitter does have Linda Yakarino, and she has a

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<v Speaker 4>lot of industry experience, she has relationships. Twitter has made

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<v Speaker 4>some changes recently. They've been talking more about brand safety,

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<v Speaker 4>so they might be able to keep advertisers.

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<v Speaker 2>I don't know.

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<v Speaker 4>We'll see how it plays out.

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<v Speaker 3>We'll have to wait with that cage match occurs as well,

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<v Speaker 3>But for now, the figurative cage match is about to

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<v Speaker 3>ensue as soon as tomorrow. Sarah fryar ash accounts, thank

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<v Speaker 3>you both so much for breaking that down.

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<v Speaker 2>Meanwhile, coming up, Rivian.

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<v Speaker 3>Started delivering the electric bands it makes for Amazon to

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<v Speaker 3>Europe and there's first commercial shipments outside of the US.

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<v Speaker 2>More on that next. This is a Bloomberg time now

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<v Speaker 2>for talking tech.

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<v Speaker 3>First up, Meta CEO Mark Zuckerberg is facing strudiny in China.

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<v Speaker 2>Social state backed.

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<v Speaker 3>Social media account published is scathing editorial on the Facebook

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<v Speaker 3>co founder. Now first reported by Hong Kong newspaper that

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<v Speaker 3>the editorial emerged after The Wall Street Journal reported that

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<v Speaker 3>Meta was in talks with ten Cent Holdings about selling

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<v Speaker 3>its quest for the Yar headset in China. Ssuckerberg has

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<v Speaker 3>openly criticized Chinese censorship. Meta and ten Cent didn't respond

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<v Speaker 3>to requests for comment. Meanwhile, Spotify's CEO has raised over

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<v Speaker 3>sixty five million dollars in venture capital to expand his

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<v Speaker 3>medical startup. It's called Nico Health, and Tomaco Lakestar General

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<v Speaker 3>Catalyst joining the investment and some of the company's biggest backers.

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<v Speaker 3>The startup provides full body scans for skin and heart conditions.

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<v Speaker 3>Over there in Sweden plus Rivian and it started delivering

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<v Speaker 3>the electric vans it makes the Amazon to Europe's first

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<v Speaker 3>commercial shipments outside of the United States. Amazon will roll

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<v Speaker 3>out more than three hundred delivery vans in the coming

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<v Speaker 3>weeks to German cities including Munich, Berlin and Dusseldulff joining

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<v Speaker 3>us to just talk through that a little bit more

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<v Speaker 3>as Spoomberg News is Craig Trudell.

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<v Speaker 2>So how big a deal is this for Revian because

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<v Speaker 2>the shareholder is.

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<v Speaker 7>Like it, Yeah, it's absolutely a big deal for Rivian.

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<v Speaker 7>I think anytime can be a sort of reminder of

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<v Speaker 7>the ties to Amazon and the role that Amazon plays

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<v Speaker 7>as a big customer is a good thing for Rivian.

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<v Speaker 7>Not that folks who know this company well and have

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<v Speaker 7>been following it closely will forget that, but I do

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<v Speaker 7>think this is a company that, you know, if we

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<v Speaker 7>take a sort of step back and think about, you know,

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<v Speaker 7>what's happened since they're Blockbuster IPO in late twenty twenty one,

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<v Speaker 7>they've had a heck of a time getting production up

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<v Speaker 7>and rolling, and so this is an indication that, you know,

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<v Speaker 7>yet another indication that you know, production is is kind

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<v Speaker 7>of being smoothed out. We saw that a little bit

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<v Speaker 7>earlier this week with the production numbers that they reported

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<v Speaker 7>for the second quarter and the fact that they're able

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<v Speaker 7>to now you know, not only you know, boost deliveries locally,

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<v Speaker 7>but start some exporting is a positive sign for production

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<v Speaker 7>going forward.

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<v Speaker 3>I'm positive coming from the analyst as well, need amnalyst

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<v Speaker 3>Chris Piers lifting the price target after those production numbers

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<v Speaker 3>DA Davidson the analyst, they're really upgoading the Stockton neutral

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<v Speaker 3>from an underperform and there in line is the fact

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<v Speaker 3>that it has been underperforming, right, has been a lot

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<v Speaker 3>of worries and concerns just remind us of what sort

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<v Speaker 3>of being the choke hold on the production side of things.

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<v Speaker 7>I mean, they were suffering from, you know, the issues

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<v Speaker 7>that the broader industry had has for a couple of

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<v Speaker 7>years now, right of just supply chain duress and the

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<v Speaker 7>chip shortage, and just when we think that we're through that,

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<v Speaker 7>now we have you know, these concerns about these metals

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<v Speaker 7>in China and whether or not you know, that will

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<v Speaker 7>be the latest, you know, thing to slow down supply

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<v Speaker 7>of semiconductors. I think one of the things that this

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<v Speaker 7>story speaks to, though, this idea of starting to ship

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<v Speaker 7>vans to Europe, is just the need for electrification in

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<v Speaker 7>this commercial vehicle space and this role that Rivian could

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<v Speaker 7>play in that. When you think about sort of the

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<v Speaker 7>biggest bang for your buck in electrifying things that are

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<v Speaker 7>on the road, if you can electrify these vans that

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<v Speaker 7>do a ton of miles a day that are doing

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<v Speaker 7>increasingly these last mile deliveries because of the rise of

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<v Speaker 7>online shopping and deliveries and city centers. We know for

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<v Speaker 7>a fact that you know, cities want more of these

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<v Speaker 7>on the roads. Incumbent manufacturers are having a hard time

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<v Speaker 7>meeting demand. Startups are having a hard time meeting demand.

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<v Speaker 7>So if Rivian can get cranking on these vans, we

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<v Speaker 7>do know that there's a lot of interest in these

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<v Speaker 7>if they can, you know, sort of follow through on

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<v Speaker 7>this big order from Amazon for over the next half

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<v Speaker 7>decade or.

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<v Speaker 3>So, one hundred thousand big order for the vans, a

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<v Speaker 3>lot of evans. There's a lot of vans most Craig Trudell,

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<v Speaker 3>thank you so much for joining us. Welcome back to

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<v Speaker 3>Bloomberg Technology. I'm Caroline Hide in New York, Ed Ludlow.

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<v Speaker 3>He's currently on assignment. Let's check in on these markets

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<v Speaker 3>today there, because we're pretty muted after the day of

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<v Speaker 3>celebrations from July fourth, We're just off about a ten

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<v Speaker 3>percent on the NASDAC and Ashley Tech is outperforming.

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<v Speaker 2>The rest of the market.

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<v Speaker 3>The rest of the market nervous about Chinese economy, the

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<v Speaker 3>growth story lackluster there when you look at the services

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<v Speaker 3>number also. Then then as that one hundred does managed to

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<v Speaker 3>perform in terms of the big names, we'll get into

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<v Speaker 3>the individual movers is to support there. But look at

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<v Speaker 3>the tenure yield once again moving higher by six basis points.

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<v Speaker 3>Remember we get those FOMC minutes from the previous rate

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<v Speaker 3>decision where they stood pat They did nothing for the

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<v Speaker 3>first time in ten rate hikes. So we're interesting to

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<v Speaker 3>see if there's any steer, any color as to just

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<v Speaker 3>how divided the FOMC is in terms of tackling inflation

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<v Speaker 3>here in the United States. Let's move on and have

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<v Speaker 3>a look at some of the individual movers, because we

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<v Speaker 3>do have companies on the move metal platforms. As I say,

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<v Speaker 3>really the Star performer today up more than three percent

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<v Speaker 3>as we anticipate that unveiling of threads as soon as tomorrow.

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<v Speaker 3>Of course, their Twitter take on Intel off by two percent,

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<v Speaker 3>and in fact most of the chip stocks are down

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<v Speaker 3>today as we worry about the geopolitical risk coming from China,

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<v Speaker 3>the fact that they are limiting the materials the rarer

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<v Speaker 3>in particular that go into semiconductors' evs, you name it.

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<v Speaker 3>Those two key materials that are going to be even

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<v Speaker 3>harder to get a hold of. Intel on the downside,

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<v Speaker 3>and Pegger Systems just want to show off this particular

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<v Speaker 3>software company and interestingly up fourteen percent. Of course, a

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<v Speaker 3>small company that really getting a rating upgrade is some

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<v Speaker 3>analysts out there and really feel that some of the

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<v Speaker 3>legal headwinds are not something to be as agitated about

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<v Speaker 3>as was previous at fourteen percent.

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<v Speaker 2>Meanwhile, let's talk a little bit about.

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<v Speaker 3>Software and hiring in particular here in New York City

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<v Speaker 3>taking steps in fact, the city is to regulate artificial

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<v Speaker 3>intelligence when it comes to hiring. Today, a new law

0:11:18.000 --> 0:11:21.520
<v Speaker 3>comes into effect that requires companies using AI software in

0:11:21.600 --> 0:11:25.000
<v Speaker 3>recruiting to notify candidates that an automated system is being used.

0:11:25.160 --> 0:11:26.600
<v Speaker 2>It's also requiring.

0:11:26.200 --> 0:11:30.319
<v Speaker 3>Companies to have independent auditors check their technology annually for bias.

0:11:30.760 --> 0:11:33.160
<v Speaker 3>Let's talk about all of that with George Wycount of

0:11:33.200 --> 0:11:37.600
<v Speaker 3>Bloomberg Law and George, why is there potentially the threat

0:11:37.640 --> 0:11:39.480
<v Speaker 3>of bias within these AI systems?

0:11:40.160 --> 0:11:42.199
<v Speaker 8>So yeah, AI is used in all kinds of hiring

0:11:42.200 --> 0:11:45.960
<v Speaker 8>mechanisms around the country, ranging from resume reviews, for evaluating

0:11:46.280 --> 0:11:47.000
<v Speaker 8>video interviews.

0:11:47.000 --> 0:11:47.880
<v Speaker 6>It's all over the place.

0:11:48.240 --> 0:11:51.040
<v Speaker 8>A twenty twenty two survey from the Society of Human

0:11:51.040 --> 0:11:54.640
<v Speaker 8>Resource Management show that nearly one in four organizations use

0:11:54.960 --> 0:11:56.679
<v Speaker 8>AI in some HR capacity.

0:11:56.760 --> 0:11:59.560
<v Speaker 6>So it's really all over there's a lot.

0:11:59.440 --> 0:12:01.520
<v Speaker 8>Of concern and with that, there's a lot of concerns

0:12:01.559 --> 0:12:04.600
<v Speaker 8>about lawmakers and advocates. A like, these technologies, which are

0:12:04.640 --> 0:12:06.880
<v Speaker 8>relatively novel, they haven't been in effect for that long,

0:12:07.280 --> 0:12:10.000
<v Speaker 8>rely on data that bakes and prejudice. Because a lot

0:12:10.040 --> 0:12:11.880
<v Speaker 8>of these systems, like a lot of other things, are

0:12:12.080 --> 0:12:15.319
<v Speaker 8>being trained on historical data. This data is imperfect and

0:12:15.559 --> 0:12:16.880
<v Speaker 8>could have a discriminatory event.

0:12:17.160 --> 0:12:19.920
<v Speaker 3>Okay, so talk us through the new requirements. First of

0:12:19.960 --> 0:12:23.200
<v Speaker 3>their coming from New York, what would a company have

0:12:23.320 --> 0:12:23.560
<v Speaker 3>to do?

0:12:23.600 --> 0:12:25.000
<v Speaker 2>How would they go about disclosing?

0:12:25.760 --> 0:12:28.040
<v Speaker 8>Yeah, so the law on its face requires all New

0:12:28.120 --> 0:12:30.760
<v Speaker 8>York City employees to independently audit their systems. That means

0:12:30.800 --> 0:12:33.480
<v Speaker 8>they have to get an independent firm to audit, it

0:12:33.520 --> 0:12:34.840
<v Speaker 8>has to be done once a year, and they need

0:12:34.880 --> 0:12:37.800
<v Speaker 8>to publicly disclose the results on their employment website. And

0:12:37.880 --> 0:12:41.720
<v Speaker 8>the law also requires that these employers inform job candidates

0:12:41.720 --> 0:12:44.200
<v Speaker 8>that they are using AI prior to their use in

0:12:44.280 --> 0:12:47.199
<v Speaker 8>any kind of hiring mechanism. The law does not currently

0:12:47.280 --> 0:12:50.240
<v Speaker 8>have any private right of action, meaning an individual you

0:12:50.240 --> 0:12:52.000
<v Speaker 8>cannot file an individual suit.

0:12:51.760 --> 0:12:53.760
<v Speaker 9>Against organization if they don't comply.

0:12:54.160 --> 0:12:56.960
<v Speaker 8>But if an employer is to be found in violation

0:12:57.000 --> 0:12:59.199
<v Speaker 8>of the law, they will encoura a five hundred dollars

0:12:59.200 --> 0:13:01.480
<v Speaker 8>fine on the first and a fifteen hundred dollars fine

0:13:01.480 --> 0:13:02.600
<v Speaker 8>on each subsequent offense.

0:13:03.120 --> 0:13:06.120
<v Speaker 3>And some companies had actually fought back against it, or

0:13:06.120 --> 0:13:08.640
<v Speaker 3>at least lobbied against this new law, and it had

0:13:08.679 --> 0:13:12.440
<v Speaker 3>been tweaked around the edges, George, But I'm interested about now.

0:13:12.320 --> 0:13:13.760
<v Speaker 2>It's officially enforceable.

0:13:14.760 --> 0:13:17.960
<v Speaker 3>Does this become the regerring across the rest of the states?

0:13:18.000 --> 0:13:19.880
<v Speaker 2>What do we see in other cities? What do you

0:13:19.880 --> 0:13:20.640
<v Speaker 2>think comes next?

0:13:21.320 --> 0:13:22.800
<v Speaker 8>Yeah, so this is the first of the nation law

0:13:22.840 --> 0:13:24.880
<v Speaker 8>and it's likely to be followed. There's been growing pressure

0:13:24.880 --> 0:13:27.520
<v Speaker 8>in recent years for jurisdictions to regulate AI. It's been

0:13:27.520 --> 0:13:30.679
<v Speaker 8>a high priority for the Equal for the Equal Employment

0:13:30.679 --> 0:13:33.480
<v Speaker 8>Opportunity Commission, which is the agency that's in charge of

0:13:33.760 --> 0:13:36.760
<v Speaker 8>enforcing Title seven of the Civil It's Act of nineteen

0:13:36.760 --> 0:13:37.199
<v Speaker 8>sixty four.

0:13:37.240 --> 0:13:37.720
<v Speaker 6>Excuse me.

0:13:38.160 --> 0:13:40.679
<v Speaker 8>Some other states have laws on the books Illinois and

0:13:40.720 --> 0:13:42.960
<v Speaker 8>Maryland in particular, they have laws and the books that

0:13:43.000 --> 0:13:46.440
<v Speaker 8>regulate AI in some extent for video interviews, but this

0:13:46.559 --> 0:13:48.840
<v Speaker 8>is likely to be followed in while right now this

0:13:49.240 --> 0:13:52.240
<v Speaker 8>just applies to employers within New York City. Is the

0:13:52.240 --> 0:13:54.000
<v Speaker 8>thing all employers need to be thinking about right now

0:13:54.040 --> 0:13:56.960
<v Speaker 8>as they use artificial intelligence in the hiring capacity.

0:13:57.559 --> 0:13:59.839
<v Speaker 3>Great round up, George Wykamp, Thank you so much of

0:14:00.160 --> 0:14:02.160
<v Speaker 3>Berg Law of a feeling we might be coming back

0:14:02.160 --> 0:14:04.640
<v Speaker 3>to you at some stage soon. Meanwhile, let's take a

0:14:04.679 --> 0:14:08.680
<v Speaker 3>deep dive into a so called artificial intelligence whisperers. Look,

0:14:08.840 --> 0:14:11.320
<v Speaker 3>you can earn six figure salaries and you don't even

0:14:11.360 --> 0:14:15.760
<v Speaker 3>need any programming experience. Bloomberg's Conrad Quelty Harper one of

0:14:15.800 --> 0:14:18.040
<v Speaker 3>these prompt engineers, as are known to find just how

0:14:18.040 --> 0:14:20.240
<v Speaker 3>to coax the best out of those large language models.

0:14:22.480 --> 0:14:25.360
<v Speaker 10>Albert Phelps is a full time prompt engineer, or, as

0:14:25.400 --> 0:14:28.720
<v Speaker 10>he describes it, an AI whisperer. I sat down with

0:14:28.800 --> 0:14:32.120
<v Speaker 10>him to understand what's behind this increasingly coveted role that

0:14:32.160 --> 0:14:33.520
<v Speaker 10>can pay up to six figures.

0:14:34.320 --> 0:14:36.200
<v Speaker 11>So we're saying, you know, you're a highly creative and

0:14:36.240 --> 0:14:38.320
<v Speaker 11>talented journalist working for Bloomberg News.

0:14:38.320 --> 0:14:41.120
<v Speaker 10>Thank you and you create.

0:14:40.960 --> 0:14:43.680
<v Speaker 11>An introduction to an article on prompt engineering in the

0:14:43.720 --> 0:14:44.800
<v Speaker 11>House of Bloomberg style.

0:14:47.720 --> 0:14:51.000
<v Speaker 10>It's not got the kind of clean pros of Bloomberg,

0:14:51.080 --> 0:14:59.840
<v Speaker 10>but it's a bit fowery, I'd say. With the rise

0:14:59.880 --> 0:15:03.440
<v Speaker 10>of large language models like GPT three and GPT four,

0:15:03.720 --> 0:15:06.800
<v Speaker 10>demand for a new kind of AI job is also growing.

0:15:07.560 --> 0:15:10.880
<v Speaker 10>Prompt engineers spend their day coaxing the AI to produce

0:15:10.960 --> 0:15:14.640
<v Speaker 10>better results and help companies train their workforce to harness

0:15:14.680 --> 0:15:17.440
<v Speaker 10>the tools. The role can pay as much as three

0:15:17.520 --> 0:15:20.320
<v Speaker 10>hundred and thirty five thousand dollars a year, and for

0:15:20.360 --> 0:15:23.320
<v Speaker 10>many it doesn't even require a degree in computer engineering

0:15:23.440 --> 0:15:26.040
<v Speaker 10>or advanced coding skills. I'd love to see how you

0:15:26.080 --> 0:15:28.880
<v Speaker 10>spend your day. Could you maybe build me a demo

0:15:28.960 --> 0:15:32.520
<v Speaker 10>of a Bloomberg editor. Let's say absolutely, Let's go and

0:15:32.560 --> 0:15:32.840
<v Speaker 10>do that.

0:15:32.920 --> 0:15:33.160
<v Speaker 6>Okay.

0:15:35.960 --> 0:15:40.040
<v Speaker 10>Open AI's consumer facing tool chat GPT is pre prompted.

0:15:40.320 --> 0:15:43.000
<v Speaker 10>It's set up to be a helpful assistant. To be

0:15:43.040 --> 0:15:45.440
<v Speaker 10>a professional prompt engineer, you have to get into the

0:15:45.440 --> 0:15:48.840
<v Speaker 10>guts of the large language model. That means changing the

0:15:48.920 --> 0:15:53.120
<v Speaker 10>default prompt. This is the chat the open a AI playground.

0:15:53.600 --> 0:15:56.840
<v Speaker 10>So this is a more advanced, more neutral more powerful,

0:15:57.000 --> 0:16:00.800
<v Speaker 10>customizable version of what you see when you load uptrat GBT.

0:16:01.400 --> 0:16:03.880
<v Speaker 11>Yeah, exactly what we're going to look to do is

0:16:04.480 --> 0:16:10.040
<v Speaker 11>help you write some interesting content around different prompt engineering techniques.

0:16:10.320 --> 0:16:14.000
<v Speaker 10>So this is you're making a sort of helpful assistant

0:16:14.080 --> 0:16:16.440
<v Speaker 10>for me to write a story about prompt engineering as

0:16:16.440 --> 0:16:17.480
<v Speaker 10>a Boomberg journalist.

0:16:17.680 --> 0:16:18.600
<v Speaker 6>Yes, exactly.

0:16:18.680 --> 0:16:25.040
<v Speaker 10>Yeah, a seemingly semi mystifying technique. Prompt engineering is an

0:16:25.040 --> 0:16:30.240
<v Speaker 10>action packed interface between human creativity and AI's data crunching power. Yeah,

0:16:30.720 --> 0:16:31.760
<v Speaker 10>it's making me a bit sick.

0:16:31.880 --> 0:16:34.640
<v Speaker 6>Yeah, I think so, I think so. I think there's

0:16:34.680 --> 0:16:35.920
<v Speaker 6>more work that we need to do.

0:16:36.200 --> 0:16:38.400
<v Speaker 10>There are a few tips and tricks that Albert uses

0:16:38.440 --> 0:16:41.880
<v Speaker 10>to improve as results change the temperature or the randomness

0:16:41.960 --> 0:16:44.960
<v Speaker 10>of the output. Tell it to take things step by

0:16:45.040 --> 0:16:48.960
<v Speaker 10>step and feed it a previously written article as an example.

0:16:51.240 --> 0:16:54.120
<v Speaker 10>After thirty minutes of work, we didn't quite manage to

0:16:54.120 --> 0:16:57.600
<v Speaker 10>replace my editor with AI, but the responses did get

0:16:57.600 --> 0:17:00.600
<v Speaker 10>more useful as Albert added more context and instructions.

0:17:00.760 --> 0:17:02.520
<v Speaker 11>The one thing that probably haven't done a lot of

0:17:02.560 --> 0:17:05.720
<v Speaker 11>here is actually treating this as a dialogue is actually

0:17:05.760 --> 0:17:08.639
<v Speaker 11>a really useful way often of getting better rest.

0:17:08.920 --> 0:17:11.760
<v Speaker 10>Okay, we're getting somewhere. Now there's a germ of an

0:17:11.760 --> 0:17:15.280
<v Speaker 10>idea that's interesting. Albert says PROMPT engineering has turned the

0:17:15.280 --> 0:17:19.200
<v Speaker 10>English language into a programming language. He's had no technical

0:17:19.320 --> 0:17:23.200
<v Speaker 10>education or programming experience. In fact, he studied history a

0:17:23.359 --> 0:17:27.440
<v Speaker 10>university before starting his career as a consultant. He says

0:17:27.480 --> 0:17:30.920
<v Speaker 10>his non scientific background mix him more not less qualified

0:17:30.960 --> 0:17:33.840
<v Speaker 10>to wrangle AI tools. When it comes to fearing this

0:17:33.960 --> 0:17:37.600
<v Speaker 10>technology replacing our jobs, he's not as concerned. And when

0:17:37.600 --> 0:17:41.439
<v Speaker 10>will my editor just be a Tracy BT type model

0:17:41.440 --> 0:17:42.919
<v Speaker 10>that we've developed together.

0:17:43.600 --> 0:17:45.439
<v Speaker 11>I would probably think of it the other way around.

0:17:45.640 --> 0:17:49.439
<v Speaker 11>I think we as humans actually might become more like

0:17:49.560 --> 0:17:52.760
<v Speaker 11>than editor. Will outline what we want the model to do,

0:17:53.400 --> 0:17:56.000
<v Speaker 11>we'll give it some test cases, we'll give it some examples,

0:17:56.560 --> 0:17:59.320
<v Speaker 11>and then we'll be the ones essentially doing that that.

0:17:59.560 --> 0:18:01.119
<v Speaker 2>Editing liberal arts.

0:18:01.200 --> 0:18:04.320
<v Speaker 3>Back on the RST, Prompt Engineer Albert Feltz. They're speaking

0:18:04.359 --> 0:18:08.399
<v Speaker 3>with Bloomberg's Conrad Cuilty Harper coming up runway securing an

0:18:08.400 --> 0:18:10.520
<v Speaker 3>addition one hundred and forty million dollars in funding from

0:18:10.520 --> 0:18:12.639
<v Speaker 3>some big names in the world of tech. You're going

0:18:12.680 --> 0:18:15.159
<v Speaker 3>to sit down for an exclusive conversation with the CEO next,

0:18:15.480 --> 0:18:16.640
<v Speaker 3>there's a Bloomberg.

0:18:32.200 --> 0:18:34.080
<v Speaker 2>AI startup, Runway, whose.

0:18:33.840 --> 0:18:36.040
<v Speaker 3>Software can create a short video from just a few

0:18:36.080 --> 0:18:38.520
<v Speaker 3>type words, has raised one hundred and forty one million

0:18:38.600 --> 0:18:40.680
<v Speaker 3>dollars in funding from the likes of Google and Video

0:18:40.760 --> 0:18:43.480
<v Speaker 3>Salesforce and other investors joining us. Now, I'm pleased to

0:18:43.480 --> 0:18:45.919
<v Speaker 3>say it's the CEO of Runway, Chris Valenzuela.

0:18:46.240 --> 0:18:48.200
<v Speaker 2>Chris, congratulations. One hundred and forty.

0:18:47.960 --> 0:18:51.240
<v Speaker 3>One million is actually an extension of your series C

0:18:51.640 --> 0:18:54.840
<v Speaker 3>was this inbound interest coming from these big players?

0:18:55.800 --> 0:18:56.920
<v Speaker 6>Yeah, thank you for having me.

0:18:57.440 --> 0:18:59.680
<v Speaker 12>We've been working on Runway for now five years or

0:18:59.760 --> 0:19:02.680
<v Speaker 12>so and so very thrill and excited to be partnering

0:19:02.680 --> 0:19:05.520
<v Speaker 12>with with the likes of Google and Nvidia Saltfares on

0:19:05.560 --> 0:19:08.200
<v Speaker 12>this new round that extends our kind of like bandwidth

0:19:08.280 --> 0:19:11.440
<v Speaker 12>and capacity to go continue innovating on core research that

0:19:11.520 --> 0:19:14.000
<v Speaker 12>we're working on since the release of Gen one and

0:19:14.080 --> 0:19:17.320
<v Speaker 12>Gen two, which are video generation models. There's still a

0:19:17.359 --> 0:19:19.240
<v Speaker 12>long break to go, but we're excited about taking this

0:19:19.359 --> 0:19:22.680
<v Speaker 12>new funding to improve and scale our research efforts.

0:19:23.000 --> 0:19:25.639
<v Speaker 3>And it's interesting, isn't it that previously been raising money

0:19:25.640 --> 0:19:28.480
<v Speaker 3>from the big VC names, but now it seems like

0:19:28.480 --> 0:19:31.800
<v Speaker 3>it's strategic investors coming in, How do you think their

0:19:31.840 --> 0:19:34.159
<v Speaker 3>interest was peaked and wanting to come in and do

0:19:34.200 --> 0:19:34.879
<v Speaker 3>this extension?

0:19:35.680 --> 0:19:37.879
<v Speaker 12>Sure, I mean there are different parts of if I

0:19:37.880 --> 0:19:40.000
<v Speaker 12>would say, the development of these models, and you can

0:19:40.000 --> 0:19:42.119
<v Speaker 12>think about it as two phases. The first phase is

0:19:42.119 --> 0:19:44.879
<v Speaker 12>building the baseline foundational models, and that takes a lot

0:19:44.920 --> 0:19:48.600
<v Speaker 12>of time and kind of like work and engineering counter efforts.

0:19:48.720 --> 0:19:51.080
<v Speaker 12>The second part is kind of I would say, the

0:19:51.119 --> 0:19:53.639
<v Speaker 12>phase that we're in right now, which is getting these

0:19:53.720 --> 0:19:57.040
<v Speaker 12>models out to more people, to more customers, to most enterprises,

0:19:57.560 --> 0:20:00.280
<v Speaker 12>and that being able to work with companies like Google

0:20:00.280 --> 0:20:02.679
<v Speaker 12>and Biding selfware so really like speeds up that and

0:20:02.720 --> 0:20:04.679
<v Speaker 12>allows us to innovate at the speed that we need

0:20:04.720 --> 0:20:09.399
<v Speaker 12>to innovate. We're entering that phase of development that requires

0:20:09.400 --> 0:20:11.359
<v Speaker 12>a different set of like attitudes and I would stay

0:20:12.000 --> 0:20:14.919
<v Speaker 12>research kind of like mentalities and so STUDI early, but

0:20:15.200 --> 0:20:17.439
<v Speaker 12>excited to be working with some of the best companies

0:20:17.480 --> 0:20:17.840
<v Speaker 12>in the world.

0:20:18.119 --> 0:20:21.040
<v Speaker 3>And of course, Chris, I mean, you haven't disclosed your valuation,

0:20:21.200 --> 0:20:23.120
<v Speaker 3>but we understand that's there about one and a half

0:20:23.160 --> 0:20:25.680
<v Speaker 3>billion dollars. Just talk to us about the costs from

0:20:25.680 --> 0:20:27.639
<v Speaker 3>your side, you're going to be using this to of

0:20:27.640 --> 0:20:31.560
<v Speaker 3>course beef up team to keep on creating innovating, but

0:20:31.640 --> 0:20:33.720
<v Speaker 3>the compute power must be massive. Is that something where

0:20:33.840 --> 0:20:34.560
<v Speaker 3>Google comes in.

0:20:35.640 --> 0:20:38.399
<v Speaker 12>I think there are two parts again of the stage

0:20:38.400 --> 0:20:41.280
<v Speaker 12>to where we are with these generaling models and video

0:20:41.280 --> 0:20:43.480
<v Speaker 12>models and image models tend to work very different with

0:20:44.280 --> 0:20:46.640
<v Speaker 12>the language models that perhaps are the ones that are

0:20:46.640 --> 0:20:50.639
<v Speaker 12>more discussed and discuss nowadays. For video models and for

0:20:50.680 --> 0:20:53.760
<v Speaker 12>image models, there's a scale component on the infrastructure side

0:20:53.760 --> 0:20:55.800
<v Speaker 12>of things, and making sure that models are fast and

0:20:55.840 --> 0:20:58.560
<v Speaker 12>reliable and you can train large video models is a

0:20:59.480 --> 0:21:01.879
<v Speaker 12>complex ask. So we're putting a lot of resources on

0:21:01.920 --> 0:21:04.720
<v Speaker 12>making that happen with state of the art technology and

0:21:04.960 --> 0:21:08.119
<v Speaker 12>research and compute. But on the other side, there's so

0:21:08.280 --> 0:21:11.040
<v Speaker 12>much on the infrastructure that needs to get built that

0:21:11.119 --> 0:21:13.879
<v Speaker 12>hasn't yet been built. That also requires a lot of

0:21:13.920 --> 0:21:17.320
<v Speaker 12>effort and time and great people to build. We are

0:21:17.560 --> 0:21:20.720
<v Speaker 12>an incredible small team that's been really pushing the boundaries of.

0:21:20.680 --> 0:21:22.440
<v Speaker 6>The field for the last four or five.

0:21:22.320 --> 0:21:24.840
<v Speaker 12>Years since we since we started on building these models

0:21:24.840 --> 0:21:27.679
<v Speaker 12>and these technologies, and so really making sure that you

0:21:27.680 --> 0:21:29.719
<v Speaker 12>can work with the best on both the research aspects

0:21:29.760 --> 0:21:32.800
<v Speaker 12>and the engineering aspects. It's really important and the resources

0:21:32.800 --> 0:21:35.080
<v Speaker 12>will go pretty much to both ends on the research

0:21:35.119 --> 0:21:36.560
<v Speaker 12>and engineering side as well.

0:21:36.880 --> 0:21:38.840
<v Speaker 3>And you have been working on the infrastructure side a

0:21:38.920 --> 0:21:42.760
<v Speaker 3>lot already Chris Layman's terms, can you tell us like

0:21:42.800 --> 0:21:45.159
<v Speaker 3>some of the issues there, what actually what architecture you

0:21:45.200 --> 0:21:47.320
<v Speaker 3>need to build to scale at the rate.

0:21:47.200 --> 0:21:47.600
<v Speaker 2>You want to?

0:21:48.400 --> 0:21:49.760
<v Speaker 6>For sure, that's a great question.

0:21:49.840 --> 0:21:52.040
<v Speaker 12>So if you think about it really on Jenney one

0:21:52.080 --> 0:21:54.399
<v Speaker 12>and Gene two, which are two of the video generation

0:21:54.480 --> 0:21:56.960
<v Speaker 12>models we just release, and they say just because it's

0:21:57.000 --> 0:21:59.000
<v Speaker 12>only been like four or five weeks since we did it,

0:22:00.280 --> 0:22:02.640
<v Speaker 12>there's so much work that goes into making these models

0:22:03.320 --> 0:22:05.359
<v Speaker 12>do what they're able to do, which is generate video.

0:22:05.480 --> 0:22:08.000
<v Speaker 12>Right you're generating video. You stop for a minute and

0:22:08.040 --> 0:22:11.080
<v Speaker 12>think about it. You're generating video with words, which five

0:22:11.160 --> 0:22:13.119
<v Speaker 12>years ago, ten years ago we have thought to be

0:22:13.240 --> 0:22:16.719
<v Speaker 12>like impossible or very hard, Allen most feels like magic

0:22:16.720 --> 0:22:19.480
<v Speaker 12>these days, and so making sure that you can do that,

0:22:19.560 --> 0:22:23.040
<v Speaker 12>it's in itself a very technical, difficult fit. And so

0:22:23.280 --> 0:22:25.360
<v Speaker 12>research have gotten into a phone we're able to kind

0:22:25.359 --> 0:22:27.600
<v Speaker 12>of like generate the videos you're seeing right now, and

0:22:27.680 --> 0:22:30.040
<v Speaker 12>those are just being generated with words. But then on

0:22:30.080 --> 0:22:32.879
<v Speaker 12>the other side of things, this is a very complex

0:22:32.920 --> 0:22:36.679
<v Speaker 12>infrastructure that allows anyone really with a mobile phone or

0:22:36.720 --> 0:22:39.400
<v Speaker 12>a desktop application or an Internet connection to be able

0:22:39.400 --> 0:22:41.639
<v Speaker 12>to do this. And in order to do that, you

0:22:41.680 --> 0:22:44.560
<v Speaker 12>need to have an inference and a streaming service that's

0:22:44.680 --> 0:22:47.120
<v Speaker 12>able to generate those frames almost on a real time basis.

0:22:47.440 --> 0:22:50.960
<v Speaker 12>Our videos take like forty seconds to generate, which is fast,

0:22:51.000 --> 0:22:53.920
<v Speaker 12>and we're making sure we can reduce that to hopefully

0:22:53.920 --> 0:22:56.159
<v Speaker 12>at some point or at some time do it in

0:22:56.200 --> 0:22:58.879
<v Speaker 12>a real time basis. So everything that we need to

0:22:58.920 --> 0:23:02.200
<v Speaker 12>build make that happen hasn't been built because these models

0:23:02.200 --> 0:23:05.200
<v Speaker 12>and these technology didn't exist literally a couple of months ago.

0:23:05.600 --> 0:23:09.040
<v Speaker 12>And so really from the growna with think ourselves as

0:23:09.040 --> 0:23:11.720
<v Speaker 12>a full start company, which which we ask or we

0:23:12.000 --> 0:23:14.919
<v Speaker 12>ask ourselves to be able to build everything that allows

0:23:14.960 --> 0:23:18.040
<v Speaker 12>you to deploy these models to our filmmakers and studios

0:23:18.080 --> 0:23:20.520
<v Speaker 12>and creative companies around the world that are already using

0:23:20.560 --> 0:23:21.760
<v Speaker 12>and leveraging the technology.

0:23:22.480 --> 0:23:25.679
<v Speaker 3>I've been using and not really leveraging, but interested in

0:23:25.720 --> 0:23:29.480
<v Speaker 3>it and playing around with Gen two today. And it's

0:23:30.040 --> 0:23:32.840
<v Speaker 3>beautiful some creations that you make. But it's interesting that

0:23:32.880 --> 0:23:35.720
<v Speaker 3>sort of faces are the area that perhaps aren't that

0:23:35.840 --> 0:23:38.480
<v Speaker 3>easy to provide, and also the way in which you

0:23:38.520 --> 0:23:40.280
<v Speaker 3>have to have an abundance of caution. How are you

0:23:40.320 --> 0:23:43.959
<v Speaker 3>thinking about some of the well still evolving regulation and

0:23:44.119 --> 0:23:47.600
<v Speaker 3>the way in which that you can ensure content remains

0:23:47.840 --> 0:23:49.360
<v Speaker 3>well moderated in some way.

0:23:49.200 --> 0:23:54.239
<v Speaker 12>Really first, and we take safety extremely seriously in Run.

0:23:54.400 --> 0:23:56.560
<v Speaker 12>We have a team dedicated just to make sure we

0:23:56.600 --> 0:23:59.000
<v Speaker 12>have the right filters and safety policies in place, and

0:23:59.040 --> 0:24:00.440
<v Speaker 12>so we're taking an our really.

0:24:00.359 --> 0:24:01.480
<v Speaker 6>Costious approach here.

0:24:02.400 --> 0:24:05.120
<v Speaker 12>The analogy I've been trying to I guess, really think

0:24:05.160 --> 0:24:08.320
<v Speaker 12>about and best communicate the stages of development that we're

0:24:08.359 --> 0:24:10.520
<v Speaker 12>in with these models is to think about this as

0:24:10.520 --> 0:24:12.439
<v Speaker 12>a new kind of camera, Right, so we're putting a

0:24:12.480 --> 0:24:14.920
<v Speaker 12>new kind of camera in the hands of filmmakers and artists,

0:24:15.000 --> 0:24:18.280
<v Speaker 12>and there's new norms and new policies and new kind

0:24:18.320 --> 0:24:20.600
<v Speaker 12>of like ways of using descinality that will have to

0:24:20.600 --> 0:24:24.119
<v Speaker 12>be evolved and created as we start improving their quality

0:24:24.160 --> 0:24:26.240
<v Speaker 12>of these models. Again, these are very new models, and

0:24:26.280 --> 0:24:28.800
<v Speaker 12>so there's there's a long way to go by taking

0:24:28.800 --> 0:24:31.399
<v Speaker 12>a very i would say opinionated matter or making the

0:24:31.440 --> 0:24:35.840
<v Speaker 12>similarity safe and really important aspecture is controllable, like these

0:24:35.880 --> 0:24:38.320
<v Speaker 12>tools are tools for artists that are meant to augment

0:24:38.760 --> 0:24:41.159
<v Speaker 12>a creative process, and so by making sure that you

0:24:41.200 --> 0:24:44.119
<v Speaker 12>can use them in a safely environment in our creative environment.

0:24:44.119 --> 0:24:46.680
<v Speaker 6>For us, it's always been and would always be our priority.

0:24:47.160 --> 0:24:50.520
<v Speaker 3>Our actors right to be worried in the way that

0:24:50.560 --> 0:24:51.480
<v Speaker 3>we're currently saying.

0:24:52.359 --> 0:24:52.439
<v Speaker 5>No.

0:24:52.560 --> 0:24:57.280
<v Speaker 12>I think you know, most of the of the usage

0:24:57.320 --> 0:25:00.879
<v Speaker 12>of the overall thoughts around video and AI video generation

0:25:01.119 --> 0:25:02.680
<v Speaker 12>comes from the sea that you're going to be able

0:25:02.680 --> 0:25:04.399
<v Speaker 12>to like just type in a few words and generate

0:25:04.400 --> 0:25:05.480
<v Speaker 12>a Hollywood movie.

0:25:05.760 --> 0:25:08.720
<v Speaker 6>The truth is that steps far from being actually the case.

0:25:09.240 --> 0:25:12.040
<v Speaker 12>These are tools that would allow you to itterate faster

0:25:12.160 --> 0:25:16.080
<v Speaker 12>on your processes and your ideas and your projects, but

0:25:16.160 --> 0:25:18.560
<v Speaker 12>in no mean they're trying to replace anything, They're just

0:25:18.600 --> 0:25:21.280
<v Speaker 12>augmenting those things. And so perhaps a question is like

0:25:21.359 --> 0:25:23.359
<v Speaker 12>how fast and how easier are we're going to be

0:25:23.400 --> 0:25:25.840
<v Speaker 12>able to shoot and do what was seen with an actor

0:25:25.920 --> 0:25:28.200
<v Speaker 12>in the way that perhaps you couldn't today because it's

0:25:28.200 --> 0:25:30.720
<v Speaker 12>either too expensive or too time consuming these day to

0:25:30.720 --> 0:25:31.000
<v Speaker 12>do it.

0:25:31.440 --> 0:25:34.400
<v Speaker 3>Chris, great talking to you. Thank you on the planning round.

0:25:35.200 --> 0:25:46.119
<v Speaker 3>Chris Valezuela, he's a Runway CEO. Let's talk streaming wars

0:25:46.119 --> 0:25:49.480
<v Speaker 3>and the costs involved. Amazon CEO Any Jesse is taking

0:25:49.520 --> 0:25:53.000
<v Speaker 3>a hard look at how the company's Hollywood studio spends

0:25:53.000 --> 0:25:55.639
<v Speaker 3>on original TV programming. I'm kind of wondering why it

0:25:55.680 --> 0:25:58.960
<v Speaker 3>shows seem to cost more than netflixesus.

0:25:59.040 --> 0:26:01.479
<v Speaker 2>Chris Palmry is here to break it all down. And

0:26:01.760 --> 0:26:03.840
<v Speaker 2>we know they're on a cost cutting focus. We know

0:26:03.960 --> 0:26:06.520
<v Speaker 2>the jobs that are being shedded. It's an obvious place

0:26:06.520 --> 0:26:08.240
<v Speaker 2>to look at the content. Why is it ending up

0:26:08.280 --> 0:26:08.920
<v Speaker 2>more expensive?

0:26:10.280 --> 0:26:12.680
<v Speaker 5>Well, they did this massive pivot. If you remember when

0:26:12.720 --> 0:26:15.040
<v Speaker 5>Amazon started in video, they were going to use their

0:26:15.160 --> 0:26:18.320
<v Speaker 5>sort of experience in books and find out these sort

0:26:18.320 --> 0:26:21.760
<v Speaker 5>of arty shows that people they thought their book customers

0:26:21.840 --> 0:26:22.600
<v Speaker 5>might want to watch.

0:26:22.640 --> 0:26:24.120
<v Speaker 9>If remember programming.

0:26:23.680 --> 0:26:28.440
<v Speaker 5>Like Transparent, and then they Jeff Bezos said I want

0:26:28.440 --> 0:26:32.639
<v Speaker 5>a Game of Thrones and they started this massive spending push.

0:26:32.680 --> 0:26:34.159
<v Speaker 5>We saw the Ring of Power of the Lord of

0:26:34.160 --> 0:26:37.400
<v Speaker 5>the Rings spin off and massive shows like Citadel, which

0:26:37.400 --> 0:26:39.119
<v Speaker 5>has kind of been a disappointment from the.

0:26:39.160 --> 0:26:40.520
<v Speaker 9>Russo brothers this year.

0:26:41.000 --> 0:26:43.960
<v Speaker 5>And so now, as you mentioned, Andy Jase, the CEO,

0:26:44.040 --> 0:26:48.200
<v Speaker 5>is taking a hard look, calling the entertainment executives to headquarters.

0:26:48.359 --> 0:26:52.040
<v Speaker 5>We're asking for detailed accounts of their spending and cleaning

0:26:52.080 --> 0:26:52.800
<v Speaker 5>the big shows.

0:26:53.040 --> 0:26:54.640
<v Speaker 9>It's part of an overall.

0:26:54.200 --> 0:26:56.600
<v Speaker 5>Sweep of what Hollywood's doing, looking at spending in the

0:26:56.600 --> 0:27:01.480
<v Speaker 5>streaming wars, but you know, exacerbated by Amazon situation, and.

0:27:01.640 --> 0:27:04.240
<v Speaker 3>Is there any way that they can reduce the costs

0:27:04.240 --> 0:27:07.040
<v Speaker 3>without crumping on some of the wins here or indeed

0:27:07.080 --> 0:27:09.800
<v Speaker 3>the fact that they're investing because they want to keep

0:27:09.960 --> 0:27:13.199
<v Speaker 3>us addicted to the broader Amazon offering, not just of

0:27:13.200 --> 0:27:14.520
<v Speaker 3>course Amazon Prime.

0:27:15.240 --> 0:27:17.280
<v Speaker 5>Well that's always been the argument and why sort of

0:27:17.359 --> 0:27:20.439
<v Speaker 5>Amazon's video business has been so much under the radar

0:27:20.640 --> 0:27:24.080
<v Speaker 5>because they have this ulterior motive. We just get people

0:27:24.119 --> 0:27:28.040
<v Speaker 5>subscribing to the Prime service and lock them in for

0:27:28.119 --> 0:27:32.360
<v Speaker 5>shipping and all kinds of purchases. But you know, they

0:27:32.400 --> 0:27:36.280
<v Speaker 5>can't do that forever and not you know, face the reality,

0:27:36.320 --> 0:27:39.240
<v Speaker 5>which is everybody's just been spending too much money on

0:27:39.320 --> 0:27:44.080
<v Speaker 5>TV shows. It look like the era PEAKTV has finally arrived.

0:27:44.480 --> 0:27:46.880
<v Speaker 3>That's for sure, just as the economy takes a turn.

0:27:46.920 --> 0:27:49.640
<v Speaker 3>Of course, Chris palmery, thank you so much for joining us.

0:27:50.320 --> 0:27:52.000
<v Speaker 3>You feel a little better. Meanwhile, let's have a look

0:27:52.000 --> 0:27:55.040
<v Speaker 3>at what's happening in terms of Rivian's first commercial shipment

0:27:55.160 --> 0:27:58.639
<v Speaker 3>outside the US. Of course, Rivian based upon Amazon in

0:27:58.680 --> 0:28:01.479
<v Speaker 3>many ways, providing they're vans electric vans?

0:28:01.800 --> 0:28:02.360
<v Speaker 2>Who are them?

0:28:02.400 --> 0:28:02.520
<v Speaker 6>Then?

0:28:02.560 --> 0:28:03.960
<v Speaker 2>And Lulo is the expert for.

0:28:03.920 --> 0:28:06.080
<v Speaker 3>This, and he's getting ready for a pretty key interview

0:28:06.160 --> 0:28:08.119
<v Speaker 3>on the back of it, ed where exactly are you?

0:28:08.960 --> 0:28:12.200
<v Speaker 13>Surprise just touched down in southern California and we are

0:28:12.240 --> 0:28:16.080
<v Speaker 13>heading over to Ribban's HQ in Irvine through a conversation

0:28:16.119 --> 0:28:18.800
<v Speaker 13>with R. J. Scanner and he's the CEO. You're absolutely right.

0:28:19.040 --> 0:28:21.199
<v Speaker 13>It's been a strange week. I think Ribban's up for

0:28:21.200 --> 0:28:24.840
<v Speaker 13>a six consecutive session trading at February high. It's been

0:28:24.880 --> 0:28:28.120
<v Speaker 13>a real turning point for the company and they posted

0:28:28.160 --> 0:28:32.399
<v Speaker 13>production cousy, production and delivery figures above Wall Street expectations

0:28:32.400 --> 0:28:33.080
<v Speaker 13>this Monday.

0:28:33.400 --> 0:28:35.080
<v Speaker 9>The stop has a lot of momentum.

0:28:35.680 --> 0:28:37.760
<v Speaker 13>But remember that this is a company that went from

0:28:37.760 --> 0:28:41.080
<v Speaker 13>the euphoria of the biggest IPO since Facebook's now known

0:28:41.120 --> 0:28:43.880
<v Speaker 13>as Meta to a horrible twenty twenty two where it

0:28:43.920 --> 0:28:46.280
<v Speaker 13>was the second worst performer on the NATS that one

0:28:46.360 --> 0:28:48.920
<v Speaker 13>hundred and then got taken off then as that one hundred.

0:28:49.000 --> 0:28:51.160
<v Speaker 9>So there's two key pieces of news on what we're

0:28:51.200 --> 0:28:51.880
<v Speaker 9>really talking about.

0:28:51.960 --> 0:28:54.760
<v Speaker 3>Characters and we've started to see analysts change their tune,

0:28:54.800 --> 0:28:55.280
<v Speaker 3>haven't we had.

0:28:55.320 --> 0:28:57.200
<v Speaker 2>We've started to see Da Davison.

0:28:56.840 --> 0:28:59.360
<v Speaker 3>Some of the other analysts really deciding that now might

0:28:59.400 --> 0:29:01.880
<v Speaker 3>be an opportunity time to buy. The headlines are looking

0:29:01.920 --> 0:29:04.160
<v Speaker 3>more positive. What's the headline you want to create today?

0:29:04.160 --> 0:29:06.480
<v Speaker 3>What do you really want to understand from RJ?

0:29:07.080 --> 0:29:09.560
<v Speaker 13>Yeah, I want to understand why they're not doing more.

0:29:09.760 --> 0:29:12.400
<v Speaker 13>You know that the factory in Normal, Illinois is capable

0:29:12.600 --> 0:29:15.360
<v Speaker 13>of building many more than the fifty thousand evs that

0:29:15.400 --> 0:29:17.520
<v Speaker 13>they've guided investors on for this year.

0:29:17.960 --> 0:29:21.360
<v Speaker 9>Also just really interested in RJ Scarring. She's forty years old.

0:29:21.720 --> 0:29:24.560
<v Speaker 13>He founded this company in twenty eleven, had the big

0:29:24.600 --> 0:29:25.880
<v Speaker 13>IPO in twenty twenty one.

0:29:26.000 --> 0:29:28.120
<v Speaker 9>I just want to ask him is he having fun?

0:29:28.600 --> 0:29:31.000
<v Speaker 13>You know, being a founder CEO is a rare thing

0:29:31.400 --> 0:29:33.880
<v Speaker 13>in this day and age. But he is really at

0:29:33.880 --> 0:29:36.320
<v Speaker 13>the cutting edge of their engineering. Running the business has

0:29:36.360 --> 0:29:39.480
<v Speaker 13>brought people in. The question is why is Rivian not

0:29:39.520 --> 0:29:41.440
<v Speaker 13>ahead at this point They're still kind of lunked in

0:29:41.960 --> 0:29:44.600
<v Speaker 13>with that large pack of ELI startups to the suffering,

0:29:44.640 --> 0:29:46.480
<v Speaker 13>but Rivian's actually producing the skin.

0:29:46.960 --> 0:29:50.600
<v Speaker 3>Well so and Ludlow battling some of the tannoys over

0:29:50.600 --> 0:29:53.080
<v Speaker 3>there in the airport. Thank you so much for bringing

0:29:53.160 --> 0:29:55.800
<v Speaker 3>us what we're really excited about. A live interview a

0:29:55.800 --> 0:29:57.800
<v Speaker 3>little bit later with Ed Ludlow and of course a

0:29:57.840 --> 0:30:00.720
<v Speaker 3>Rivian CEO RJ. Scaring, and a little bit of what

0:30:00.800 --> 0:30:02.720
<v Speaker 3>he wants to get out of that particular conversation.

0:30:03.160 --> 0:30:05.400
<v Speaker 2>We can't wait for it. Meanwhile. That does it for

0:30:05.480 --> 0:30:06.880
<v Speaker 2>this edition of Bloomberg Technology.

0:30:06.920 --> 0:30:09.200
<v Speaker 3>Do not forget to check out the podcast find out

0:30:09.200 --> 0:30:11.480
<v Speaker 3>on the terminal as well as online on Apples, Spotify,

0:30:11.840 --> 0:30:14.720
<v Speaker 3>and iHeart from New York from Southern California, This is

0:30:14.800 --> 0:30:15.240
<v Speaker 3>Bloomberg