WEBVTT - Trump To Launch Mobile Services, Robots Learn the Physical World 

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news. Bloomberg Tech is alive

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<v Speaker 1>from coast to coast with Caroline Hyde in New York

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<v Speaker 1>and Vla Loow in San Francisco.

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<v Speaker 2>This is Bloomberg Tech coming up. President Trump's families getting

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<v Speaker 2>into the mobile phone business with the Trump branded service

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<v Speaker 2>plus Meta.

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<v Speaker 3>We'll start showing ads in WhatsApp and offer paid subscriptions

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<v Speaker 3>for the first time.

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<v Speaker 2>And robotics firm one Ex Technology says it can evaluate

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<v Speaker 2>a robot's performance without deploying it into the real world.

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<v Speaker 2>But first, President Trump is attending a Group of Seventh

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<v Speaker 2>summit in Canada today. This amid tariff uncertainty, a Middle

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<v Speaker 2>East crisis between Israel and Iran. Let's go over to

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<v Speaker 2>the G seven summit where Bloomberg's and Marie Horden is

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<v Speaker 2>standing by AMH. What do we need to know?

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<v Speaker 4>Well, certainly this is going to be a packed summit

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<v Speaker 4>and what's going on in the Middle East is certainly

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<v Speaker 4>taking center stage now really topping the agenda. We are

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<v Speaker 4>waiting for President Trump to have a first bilateral meeting

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<v Speaker 4>before the summit really kicks off. In earnest with Mark Karney,

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<v Speaker 4>the Prime Minister of Canada, and really the Canadians here

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<v Speaker 4>are trying to avoid what happened in twenty eighteen. You

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<v Speaker 4>may remember that viral photo and the President was sitting

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<v Speaker 4>with his arms crossed looking up at Angela Merkel, the

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<v Speaker 4>then German Chancellor. She was surrounded by a number of leaders,

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<v Speaker 4>the only one that's lasted since a fence, and then,

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<v Speaker 4>of course President Trump pulled the US out of that

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<v Speaker 4>joint communicate. So Mark Kearney's taking a different approach this time,

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<v Speaker 4>looking at different statements that they can have a common

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<v Speaker 4>thread for specifics, not one communicate for wide range of topics,

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<v Speaker 4>maybe something regarding artificial intelligence, critical minerals. Potentially there will

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<v Speaker 4>not be an agreement from all of these countries when

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<v Speaker 4>it comes to things like the war in Ukraine, things

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<v Speaker 4>like climate change, or even when it comes to what

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<v Speaker 4>is going on with Iran and Israel. That is certainly

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<v Speaker 4>going to be top of the agenda today. The President

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<v Speaker 4>was speaking about as he left the White House yesterday

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<v Speaker 4>and his way to Canada, and he was saying that

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<v Speaker 4>these two may have to fight it out, but in

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<v Speaker 4>the end he wants a deal.

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<v Speaker 2>Bloomberg's Amory Horden will stick with what's happening in the

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<v Speaker 2>G seven throughout the day. Thank you. Let's go with

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<v Speaker 2>Donald Trump and over to DC to talk about some

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<v Speaker 2>news in technology. The President's family launching a Trump branded

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<v Speaker 2>mobile phone service that will rely on wireless networks and

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<v Speaker 2>hardware quotes made in America, Bloomberg, Kelsey Griffiths here with more.

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<v Speaker 2>The idea is that they're not building the network from

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<v Speaker 2>the ground upright, They basically licensed capacity from the three

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<v Speaker 2>major US carriers. But what else do we know about

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<v Speaker 2>Trump Mobile? That's right ed?

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<v Speaker 5>So the Trump family's mobile service is they say they're

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<v Speaker 5>going to rely on the three major US telecom networks that.

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<v Speaker 6>Have already been built.

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<v Speaker 5>And this is a pretty common strategy that we see.

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<v Speaker 5>Meant Mobile is one of the pretty well known so

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<v Speaker 5>called mv and os that was eventually acquired by T Mobile.

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<v Speaker 5>We also saw some celebrities last week looking to get

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<v Speaker 5>into the mobile game, launching their own mv and O.

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<v Speaker 5>So the Trump family is following a pretty popular tradition

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<v Speaker 5>here by getting into this.

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<v Speaker 6>Business, Kelsey Popular.

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<v Speaker 3>Last time I checked, there were one hundreds, more than

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<v Speaker 3>one hundred here in the United States of mobile virtual

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<v Speaker 3>network operators.

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<v Speaker 6>But what they're trying to tap into.

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<v Speaker 3>Here is the Trump narrative, the Trump brand. How will

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<v Speaker 3>it be priced versus other competitors in the space.

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<v Speaker 5>That's right, So the brand is it's going to cost

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<v Speaker 5>about just under fifty dollars. I think it's a forty

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<v Speaker 5>seven to forty five per month, and I would say

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<v Speaker 5>that is pretty competitive with the space. These mv and

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<v Speaker 5>os tend to target these niche markets that are looking

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<v Speaker 5>at customers that maybe don't want to or can't pay

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<v Speaker 5>one hundred dollars or or you know, somewhere in that range.

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<v Speaker 5>So I do think that there is a chance they

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<v Speaker 5>will be targeting this niche that you know, maybe other

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<v Speaker 5>operators aren't necessary.

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<v Speaker 2>Are you looking at Kelsey? It's a competitive field, right

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<v Speaker 2>when you're looking at any carrier. When I was reading

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<v Speaker 2>the news from Trump Mobile, they're including everything that you'd expect,

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<v Speaker 2>unlimited text, data, voice protection, overseas call. Just give us

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<v Speaker 2>the basics of the plan.

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<v Speaker 5>Yeah, exactly. So there are going to be some of

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<v Speaker 5>these value added services on top of your mobile services

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<v Speaker 5>that you would expect. There is going to be some

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<v Speaker 5>sort of roadside assistance, there will be international calling thrown in,

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<v Speaker 5>and there's also going to be the opportunity to purchase

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<v Speaker 5>a mobile device that will also be branded with the

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<v Speaker 5>Trump family logo. It will come in a gold variety,

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<v Speaker 5>which you know, I'm looking forward to seeing.

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<v Speaker 3>Kelsey Griffiths puts us perfectly onto our next discussion because

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<v Speaker 3>we want to talk about the hardware perspective. Bomberg's Dana

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<v Speaker 3>woman is, hey, with US four hundred and ninety nine dollars,

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<v Speaker 3>you're going to be able to get it as soon

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<v Speaker 3>as September. You can put one hundred dollars down for

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<v Speaker 3>initial well, name.

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<v Speaker 6>On a list. But can they make that in America?

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<v Speaker 7>Never say never, but certainly the smartphone industry is not

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<v Speaker 7>really making phones here in the US right now, and

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<v Speaker 7>it's unclear from the report so far and what we

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<v Speaker 7>know so far who exactly are with what partners Trump

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<v Speaker 7>and his family would be making these devices. All that

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<v Speaker 7>we know, as Kelsey has said, is that the advice

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<v Speaker 7>would be golden color, which is very on brand for Trump,

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<v Speaker 7>and that it will be caught, that it will be

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<v Speaker 7>priced at four hundred and ninety nine dollars, which even

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<v Speaker 7>before recent inflation, was a pretty budget price for a

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<v Speaker 7>phone and seems especially low these days. So not knowing

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<v Speaker 7>anything about the hardware, we can at least say safely

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<v Speaker 7>these are probably not phones offering the most advanced features.

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<v Speaker 7>And maybe that's not the point, as Kelsey said, for

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<v Speaker 7>this particular niche right.

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<v Speaker 2>The point, Jiner is that this is built as being

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<v Speaker 2>designed and built in America at a time where the

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<v Speaker 2>President is putting pressure on Apple to build the iPhone

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<v Speaker 2>in America or face tariffs of as much as twenty

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<v Speaker 2>five percent. I think it's really notable that it's going

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<v Speaker 2>to run Android OS as well.

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<v Speaker 6>Yes, absolutely, as we said.

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<v Speaker 7>As I said, it's unclear exactly how the Trump organization

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<v Speaker 7>would make this phone come to pass so quickly in

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<v Speaker 7>the US, just knowing from Apple and other manufacturers as

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<v Speaker 7>well all of the human resources, the human labor and

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<v Speaker 7>physical resources that just are lacking here in the US.

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<v Speaker 7>And by human resources, I mean specialized talent that know

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<v Speaker 7>how to use this particular manufacturing equipment. A lot of

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<v Speaker 7>the equipment itself is abroad. So it's unclear exactly how

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<v Speaker 7>the team plans to surmount those challenges that other smartphone

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<v Speaker 7>makers either haven't tackled or just seem to be avoiding.

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<v Speaker 3>It's interesting who ultimately it'll be competing against because we've heard.

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<v Speaker 6>Him take aim President Trump.

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<v Speaker 3>This is of course the phone being made by President

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<v Speaker 3>by Trump organization in his family. But President Trump himself,

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<v Speaker 3>the administration of taken aim at Apple front and center.

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<v Speaker 3>Bring your manufacturing back to the United States, but at

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<v Speaker 3>a four nine to nine price point. Yeah, I might

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<v Speaker 3>compete against an iPhone se but really it's going against

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<v Speaker 3>other Android phones. It's going against the pixel AA for example.

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<v Speaker 7>Yes, maybe perhaps not even the pixel A line, perhaps

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<v Speaker 7>even more budget, sort of bargain basement phones that I'm

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<v Speaker 7>not able to recite offhand, and most of us can't

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<v Speaker 7>recite offhand.

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<v Speaker 6>And I think one.

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<v Speaker 7>Key question is how many does the organization plan to produce.

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<v Speaker 7>I think one of the key lines in our story

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<v Speaker 7>is that smartphone makers aren't producing.

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<v Speaker 2>At scale in the US.

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<v Speaker 7>So it's that, to me, is a really key question.

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<v Speaker 7>Could you produce a small, really sort of limited run

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<v Speaker 7>number of phones here in the US, probably more easily

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<v Speaker 7>than Apple could produce its whole iPhone line. So I

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<v Speaker 7>think the volume that they're expecting is an unknown detail,

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<v Speaker 7>but seems like an important one to me.

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<v Speaker 2>Motorola tried to build the Moto X in Dallas Fort

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<v Speaker 2>Worth in twenty thirteen, and they shut the plant a

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<v Speaker 2>year later. It was an Android based phone because the

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<v Speaker 2>costs were too high. I mean, that's what we're talking

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<v Speaker 2>about here. Karen made a really interesting point in our

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<v Speaker 2>group chat earlier about like what is four nine nine

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<v Speaker 2>relative to the field. It's like iPhone se It's like

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<v Speaker 2>that kind of mid tier of Android smartphone. But making

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<v Speaker 2>it and the number of components go into it. That's

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<v Speaker 2>like the key question here if they can have a

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<v Speaker 2>business in it.

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<v Speaker 8>Yes, absolutely, data on all right, Bluebergs, go for it.

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<v Speaker 2>Cara, I'll wrap it up.

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<v Speaker 3>We've talked so much all things about the future of

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<v Speaker 3>actual hardware and software. But let's take a look at

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<v Speaker 3>what's happening in the world of crypto now ed because

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<v Speaker 3>there's some Trump action there too.

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<v Speaker 6>Let's hina light what's happening with DJT.

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<v Speaker 3>Now we know that we were reporting last week about

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<v Speaker 3>how they're going to be starting to by bitcoin in

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<v Speaker 3>the treasury. Well, now we understand that they're pivoting with

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<v Speaker 3>true social filing to the SEC with an s one

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<v Speaker 3>saying they want a bitcoin in ethereum etf Now they've already.

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<v Speaker 6>Looked at a Bitcoin ETF.

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<v Speaker 3>But this is scaling out to Ether as well. Bitcoin's

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<v Speaker 3>up two point seventy five percent. Ether is up more

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<v Speaker 3>than five percent. Remember perhaps bouncing back after last week's

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<v Speaker 3>sell off amid some of that risk aversion. But check

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<v Speaker 3>out what's happening with Circle, the latest crypto ipo is

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<v Speaker 3>just going from.

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<v Speaker 6>Strength to strength throughout more than twenty percent.

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<v Speaker 3>As we all anticipate that the latest Genius Act that

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<v Speaker 3>will put into legal clarity stable coins is likely to

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<v Speaker 3>occur this week.

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<v Speaker 6>I also want to.

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<v Speaker 3>Say that Tron is being reported in the ft that

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<v Speaker 3>Tron my ipo here in the United States via a

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<v Speaker 3>reverse merger, and that's sending other companies, particularly higher.

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<v Speaker 8>Ed coming up. Robots.

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<v Speaker 2>They're just like us now, possibly more so, as robotics

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<v Speaker 2>firm one X Technologies launches a world model that will

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<v Speaker 2>teach robots to anticipate and understand the physics that's all

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<v Speaker 2>around them. That's coming up next. This is Bloomberg technology

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<v Speaker 2>companies like Tesla betting their future on humanoid robots that

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<v Speaker 2>fill labor shortages, particularly in manufacturing. Today, robotics firm one

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<v Speaker 2>X Technologies is out with a new world model it

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<v Speaker 2>says can evaluate a robot's performance without deploying it into

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<v Speaker 2>the real world. The models are data driven simulator of

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<v Speaker 2>humanoids with the grounded understanding of physics of their surrounding world.

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<v Speaker 2>The CEO and CTO of one X Burn Burnick joins

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<v Speaker 2>us here in San Francisco. You would claim that this

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<v Speaker 2>world model is the first of its kind, and you

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<v Speaker 2>have the data from it that that proves its effectiveness.

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<v Speaker 2>But the main point is validation of capability without collecting

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<v Speaker 2>the real world data.

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<v Speaker 8>Kind of yes, you got to model the right.

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<v Speaker 9>So what had really does us is it gives us

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<v Speaker 9>the ability to basically see the future with respect to

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<v Speaker 9>what would happen if the role what actually takes these

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<v Speaker 9>specific actions. And this allows us to really test at

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<v Speaker 9>scale where these new AI models that we're actually creating

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<v Speaker 9>will be better than the previous ones, right, and that

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<v Speaker 9>really allows us to climb this and really to create

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<v Speaker 9>better and better our models for physical labor.

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<v Speaker 2>I wrote in the Tech and Depth newsletter this morning

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<v Speaker 2>that if you look at particularly manufacturing jobs data, there

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<v Speaker 2>is a need there. You know, it's hard to fill

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<v Speaker 2>those roles. Why does this world model open a path

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<v Speaker 2>to a world where humanoid robotics are genuinely useful, deployable

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<v Speaker 2>in manufacturing or other logistic settings where a human is

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<v Speaker 2>currently needed.

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<v Speaker 9>So I think like taking a step back to us,

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<v Speaker 9>like you know, we're a consumer company. Seen often ask

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<v Speaker 9>right now, but to us, it's really about how do

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<v Speaker 9>you create an actual abundance of artificial labor as quickly

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<v Speaker 9>as possible, which means going into factories, going into enterprise

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<v Speaker 9>services and everything right. But to get there and get

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<v Speaker 9>your robos to be intelligent enough to solve these tasks,

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<v Speaker 9>you just need this incredible diversity of data.

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<v Speaker 8>And that's why we're going to the home first. And

0:12:12.960 --> 0:12:14.079
<v Speaker 8>if you're deploying.

0:12:13.679 --> 0:12:17.040
<v Speaker 9>These robots at scaling to homes, living and learning among us,

0:12:17.840 --> 0:12:19.800
<v Speaker 9>then we also need to be able in a safe

0:12:19.840 --> 0:12:24.439
<v Speaker 9>manner to test how will our models perform? And this

0:12:24.480 --> 0:12:26.240
<v Speaker 9>is really what the world mode allows us to do.

0:12:26.520 --> 0:12:28.800
<v Speaker 9>It allows us to take all of this data that

0:12:28.800 --> 0:12:31.960
<v Speaker 9>we're gathering, create new models, and then see if we

0:12:32.000 --> 0:12:34.920
<v Speaker 9>deployed these to our fleet of robots, how would it

0:12:34.960 --> 0:12:37.040
<v Speaker 9>actually perform, Would all of the behaviors that it do

0:12:37.160 --> 0:12:40.600
<v Speaker 9>actually be safe? Would it be able to do things

0:12:40.640 --> 0:12:43.640
<v Speaker 9>that couldn't do before? And kind of really benchmark the

0:12:43.679 --> 0:12:45.600
<v Speaker 9>models so we can progress.

0:12:45.400 --> 0:12:48.000
<v Speaker 3>How soffiscated is the hardware right now, we're talking about

0:12:48.000 --> 0:12:49.680
<v Speaker 3>how the models and the software is going to really

0:12:49.720 --> 0:12:51.760
<v Speaker 3>bring it to bear. What are they already doing in

0:12:51.760 --> 0:12:54.040
<v Speaker 3>the home those that are out in beta.

0:12:55.280 --> 0:12:59.160
<v Speaker 9>So the hardware is actually really getting there. So I

0:12:59.200 --> 0:13:01.319
<v Speaker 9>have one in my home, for example, and it's doing

0:13:01.400 --> 0:13:07.439
<v Speaker 9>like tidying, cleaning, vacuuming, some laundry, different kind of tasks.

0:13:07.679 --> 0:13:09.160
<v Speaker 8>The whole are on the home.

0:13:09.559 --> 0:13:11.800
<v Speaker 9>And of course also the social aspect of this, right

0:13:12.040 --> 0:13:14.680
<v Speaker 9>being able to have this AI companion together with you,

0:13:14.760 --> 0:13:16.880
<v Speaker 9>which does not allow you doesn't actually require you to

0:13:16.880 --> 0:13:18.440
<v Speaker 9>look at your phone all the time to be able

0:13:18.480 --> 0:13:23.280
<v Speaker 9>to interface with AI. Now, currently this is still pretty

0:13:23.280 --> 0:13:26.480
<v Speaker 9>brittle and the magic is there, and then maybe it

0:13:26.559 --> 0:13:29.959
<v Speaker 9>lasts for a minute and then you need someone to

0:13:30.040 --> 0:13:32.280
<v Speaker 9>nudge it in the right direction. Right, but it's really

0:13:32.280 --> 0:13:34.200
<v Speaker 9>getting to where you see where this will go and

0:13:35.320 --> 0:13:37.640
<v Speaker 9>the hardware can do it. And now it's really about

0:13:37.800 --> 0:13:40.280
<v Speaker 9>how do we gather the data that allows us to

0:13:40.280 --> 0:13:43.600
<v Speaker 9>automate all this behavior. And that's also really what we're

0:13:43.600 --> 0:13:46.720
<v Speaker 9>doing this year, right, So when we're talking about the

0:13:46.760 --> 0:13:49.040
<v Speaker 9>goal being by end of year, we're actually going to

0:13:49.080 --> 0:13:51.880
<v Speaker 9>have this commercially out in the market. In homes, it's

0:13:51.920 --> 0:13:54.720
<v Speaker 9>really important to do expectation management because this is not

0:13:55.480 --> 0:13:58.800
<v Speaker 9>the consumer product at that point that everyone will have

0:13:58.840 --> 0:14:00.760
<v Speaker 9>at home. This is the big beginning of a journey

0:14:00.760 --> 0:14:03.400
<v Speaker 9>where we're inviting people in on our mission to really

0:14:03.559 --> 0:14:06.319
<v Speaker 9>almost like adopt an neo into your family, have it,

0:14:06.400 --> 0:14:09.040
<v Speaker 9>live and learn among us, and have a lot of

0:14:09.040 --> 0:14:10.680
<v Speaker 9>fun around fun along the way.

0:14:11.640 --> 0:14:12.440
<v Speaker 2>Okay, see your.

0:14:12.360 --> 0:14:14.480
<v Speaker 6>Pitch, it's still early adopted here.

0:14:14.559 --> 0:14:18.440
<v Speaker 3>Basically you're pitching an earlier adoptor in the home. Go

0:14:18.559 --> 0:14:20.680
<v Speaker 3>to outside the home for a moment. I really want

0:14:20.680 --> 0:14:24.480
<v Speaker 3>your expertise. When we're talking about having robots help manufacture

0:14:24.480 --> 0:14:27.480
<v Speaker 3>here in the US, President Trump wants to build Apple

0:14:27.840 --> 0:14:31.000
<v Speaker 3>phones here in the US. Is robotics at a level

0:14:31.000 --> 0:14:32.520
<v Speaker 3>in the next few years where we could ever make

0:14:32.560 --> 0:14:33.800
<v Speaker 3>that achievable.

0:14:35.320 --> 0:14:36.240
<v Speaker 8>In the next few years.

0:14:36.280 --> 0:14:38.200
<v Speaker 9>I think like this is going to happen a lot

0:14:38.320 --> 0:14:41.640
<v Speaker 9>sooner than people might think. But it's not happening this year.

0:14:42.240 --> 0:14:45.160
<v Speaker 9>But we are a few years, not a few decades

0:14:45.320 --> 0:14:48.760
<v Speaker 9>away from where actually, most importantly to me, robots can

0:14:48.840 --> 0:14:51.840
<v Speaker 9>build robots, meaning we can have robots build more robots,

0:14:51.880 --> 0:14:54.480
<v Speaker 9>We can have robots build out the energy infrastructure, the

0:14:54.560 --> 0:14:57.440
<v Speaker 9>data centers, the chip fabs and really enable us to

0:14:57.480 --> 0:14:57.840
<v Speaker 9>get this.

0:14:57.840 --> 0:15:00.200
<v Speaker 8>Multiplier on the workforce for artificial labor.

0:15:00.240 --> 0:15:02.800
<v Speaker 9>Which will allow us to automate all kinds of factory

0:15:02.880 --> 0:15:05.240
<v Speaker 9>work across the US. And I think this can have

0:15:05.960 --> 0:15:08.480
<v Speaker 9>a tremendous impact on our GDP right and how we.

0:15:08.400 --> 0:15:11.320
<v Speaker 8>Can grow our way out of the current deficit.

0:15:12.480 --> 0:15:14.720
<v Speaker 9>But I also wanted to just do expectation management and

0:15:14.760 --> 0:15:18.440
<v Speaker 9>say like this is years away, but years it's not

0:15:18.480 --> 0:15:20.400
<v Speaker 9>that long in the ground picture of things, it's not.

0:15:20.440 --> 0:15:21.400
<v Speaker 8>Okay, you first.

0:15:21.200 --> 0:15:23.960
<v Speaker 2>Came on our radar in Video GtC. You had this

0:15:24.040 --> 0:15:26.400
<v Speaker 2>sort of very prominent place, and I know that the

0:15:26.440 --> 0:15:30.920
<v Speaker 2>one X exchanged jackets with Jensen, etc. What is the

0:15:31.040 --> 0:15:33.520
<v Speaker 2>unlock bin from Nvidia? You know they always talk about

0:15:33.520 --> 0:15:35.840
<v Speaker 2>how they work in multiple ways, not just providing the

0:15:37.120 --> 0:15:41.080
<v Speaker 2>basis for training, but the localized silicon for the robot

0:15:41.120 --> 0:15:44.280
<v Speaker 2>itself and then simulated or virtual data. Just to explain

0:15:44.360 --> 0:15:45.120
<v Speaker 2>the relationship.

0:15:45.920 --> 0:15:48.680
<v Speaker 9>Yeah, sure, and Video is an amazing partner, right, and

0:15:48.720 --> 0:15:51.480
<v Speaker 9>we're working very deeply together both with our engineering team.

0:15:51.800 --> 0:15:56.720
<v Speaker 9>We're using their hardware, we're using their simulators, and I

0:15:56.720 --> 0:15:59.000
<v Speaker 9>think they've done an incredible job in just enabling the

0:15:59.000 --> 0:16:01.200
<v Speaker 9>ecosystem and all of the things you've touched upon.

0:16:01.240 --> 0:16:02.240
<v Speaker 8>We are using right.

0:16:02.120 --> 0:16:06.720
<v Speaker 9>So they're very fast simulators that allow us to learn

0:16:06.760 --> 0:16:08.680
<v Speaker 9>a lot in simulation before we have to go into

0:16:08.720 --> 0:16:11.360
<v Speaker 9>the real world. It's really valuable for us. We had

0:16:11.360 --> 0:16:16.320
<v Speaker 9>some great results we published last week from our reinforcement

0:16:16.400 --> 0:16:18.960
<v Speaker 9>learning and our work on how to use the entire

0:16:19.000 --> 0:16:20.800
<v Speaker 9>body like you can see here to robot actually using

0:16:20.800 --> 0:16:22.920
<v Speaker 9>its entire body to do tasks, and this is training

0:16:23.000 --> 0:16:27.400
<v Speaker 9>nvidas simulators. The compute on Border robot actually is nvida's harbor,

0:16:27.600 --> 0:16:30.000
<v Speaker 9>and they've done a great job in creating very good

0:16:30.080 --> 0:16:33.840
<v Speaker 9>embedded compute that can allow us to run the robot

0:16:34.280 --> 0:16:37.360
<v Speaker 9>fully kind of enclosed. Right doesn't actually need to be

0:16:37.360 --> 0:16:40.600
<v Speaker 9>connected to the internet to do its tasks. And of

0:16:40.640 --> 0:16:44.040
<v Speaker 9>course we're training on the infrastructure from NVIDA like everyone else.

0:16:44.240 --> 0:16:46.440
<v Speaker 2>We're talking a lot about your model world model today,

0:16:46.480 --> 0:16:49.240
<v Speaker 2>but we're showing also pictures on the screen of the

0:16:49.280 --> 0:16:52.440
<v Speaker 2>hardware side. What is different, what is your different mission

0:16:52.520 --> 0:16:57.080
<v Speaker 2>statement to a figure, AI, agility, TESLA and optimists all

0:16:57.120 --> 0:16:59.080
<v Speaker 2>the things we've been talking about for many weeks.

0:16:59.400 --> 0:17:01.280
<v Speaker 9>Sure, so of course I don't want to speak on

0:17:01.280 --> 0:17:03.240
<v Speaker 9>other's behalf. But I can see like my view on this,

0:17:03.400 --> 0:17:06.679
<v Speaker 9>so I'd actually say it's pretty different because most of

0:17:06.720 --> 0:17:08.719
<v Speaker 9>the companies in this field they're focusing on how can

0:17:08.760 --> 0:17:11.720
<v Speaker 9>we be useful as quickly as possible in manufacturing or

0:17:12.000 --> 0:17:14.840
<v Speaker 9>some kind of enterprise, while to me, it's actually all

0:17:14.880 --> 0:17:17.280
<v Speaker 9>about how can we make robots that are safe so

0:17:17.320 --> 0:17:19.440
<v Speaker 9>they can live and learn among people, because that's how

0:17:19.480 --> 0:17:22.719
<v Speaker 9>we get to truly intelligent machines. And if you want

0:17:22.760 --> 0:17:24.920
<v Speaker 9>to put them in consumer they need to be extremely affordable.

0:17:25.200 --> 0:17:26.960
<v Speaker 9>So you need to have this combination of something that's

0:17:27.119 --> 0:17:30.600
<v Speaker 9>very safe but still affordable and very capable, and then

0:17:30.640 --> 0:17:32.720
<v Speaker 9>you can have this living and learning among people.

0:17:32.840 --> 0:17:35.119
<v Speaker 8>And basically solve the full problem, right, how do we.

0:17:35.119 --> 0:17:37.359
<v Speaker 9>Get robots that are as intelligent as us so that

0:17:37.400 --> 0:17:39.280
<v Speaker 9>we can easily instruct them in how to do labor

0:17:39.280 --> 0:17:45.880
<v Speaker 9>across society at scale? So I'd say like we're betting

0:17:45.960 --> 0:17:48.040
<v Speaker 9>to go directly to the goal instead of going through

0:17:48.080 --> 0:17:48.600
<v Speaker 9>the factories.

0:17:49.240 --> 0:17:52.120
<v Speaker 3>Ben Berneck, it's been great having you CEO and CTO

0:17:52.320 --> 0:17:54.159
<v Speaker 3>of one X Technology is fascinating.

0:17:54.200 --> 0:17:54.480
<v Speaker 6>Thanks.

0:18:00.040 --> 0:18:02.160
<v Speaker 3>It is time now for talking tech and first up

0:18:02.359 --> 0:18:05.120
<v Speaker 3>shares a Roku surging today. Now the company has announced

0:18:05.119 --> 0:18:07.760
<v Speaker 3>a partnership with Amazon Ads that it says will allow

0:18:07.800 --> 0:18:11.200
<v Speaker 3>advertisers access to more than eighty percent of US households

0:18:11.280 --> 0:18:12.439
<v Speaker 3>with Amazon Connected TVs.

0:18:12.480 --> 0:18:12.640
<v Speaker 6>Now.

0:18:12.640 --> 0:18:15.160
<v Speaker 3>The full integration and roll out to all advertisers that's

0:18:15.160 --> 0:18:17.880
<v Speaker 3>expected by Q four of this year likely drive more

0:18:17.880 --> 0:18:19.680
<v Speaker 3>demand for Roku's US inventory.

0:18:19.680 --> 0:18:21.440
<v Speaker 6>Analysts A plus.

0:18:21.160 --> 0:18:24.800
<v Speaker 3>Imax, while it is set to expand it screens aggressively

0:18:24.800 --> 0:18:28.159
<v Speaker 3>across China, i'm act as Chinese arm alongside partner Wonder Films,

0:18:28.400 --> 0:18:31.320
<v Speaker 3>says they will replace twenty seven screens in IMAX's jumbo screen.

0:18:31.560 --> 0:18:34.879
<v Speaker 3>Imax will currently operate eight hundred screens in China, and

0:18:34.920 --> 0:18:38.040
<v Speaker 3>it drew a record twenty two million customers from January

0:18:38.040 --> 0:18:38.360
<v Speaker 3>to May.

0:18:38.840 --> 0:18:40.880
<v Speaker 6>And Taiwan's International.

0:18:40.280 --> 0:18:44.080
<v Speaker 3>Trade Administration has added Huawei and Smith it's list of

0:18:44.160 --> 0:18:47.600
<v Speaker 3>blacklisted companies. It's a move that undercuts China's efforts in

0:18:47.640 --> 0:18:50.840
<v Speaker 3>developing AI chip technology locally ed.

0:18:52.000 --> 0:18:55.000
<v Speaker 2>Turning to Tesla, the company's full self driving tech stack,

0:18:55.040 --> 0:18:58.040
<v Speaker 2>alongside their ability to scale, is proving to be a

0:18:58.040 --> 0:19:01.760
<v Speaker 2>tailwind against drivers like Weaimo is the robotaxi race ramps up.

0:19:01.800 --> 0:19:05.000
<v Speaker 2>That's the latest from Bloomberg Intelligence Steve Man, who led

0:19:05.040 --> 0:19:08.200
<v Speaker 2>the research, joins us. Now, the kind of key headline

0:19:08.240 --> 0:19:11.840
<v Speaker 2>from the REACT piece is that Tesla's vehicle costs is

0:19:11.880 --> 0:19:15.520
<v Speaker 2>about one seventh of Weaimo's. Why were you so focused

0:19:15.520 --> 0:19:17.360
<v Speaker 2>on that, Steve Well?

0:19:17.560 --> 0:19:20.719
<v Speaker 10>I think is the critical piece in getting it on

0:19:20.760 --> 0:19:25.879
<v Speaker 10>a commercial basis, on a mass scale basis. And also,

0:19:26.400 --> 0:19:27.360
<v Speaker 10>you know the.

0:19:27.320 --> 0:19:28.800
<v Speaker 8>Payback is also important.

0:19:28.840 --> 0:19:32.520
<v Speaker 10>If you can produce the cars at a fraction of

0:19:32.560 --> 0:19:35.840
<v Speaker 10>the price, Look, you can get more of these vehicles

0:19:35.880 --> 0:19:39.280
<v Speaker 10>out on the road. And also you know, whoever is

0:19:39.359 --> 0:19:42.280
<v Speaker 10>running can actually make their money back much sooner.

0:19:43.040 --> 0:19:47.520
<v Speaker 3>The issue you really highlight is the lack of production

0:19:47.600 --> 0:19:51.200
<v Speaker 3>of real vehicles by Weimo versus. Tesla just has hundreds

0:19:51.240 --> 0:19:52.840
<v Speaker 3>of thousands of millions on the road already.

0:19:53.040 --> 0:19:54.200
<v Speaker 6>Is that the key dividing factor?

0:19:54.240 --> 0:19:58.879
<v Speaker 10>Histey, that's one key dividing factor. I think technology is

0:19:58.960 --> 0:20:03.480
<v Speaker 10>also important. Look, I don't want to discount Weymo technology.

0:20:03.600 --> 0:20:06.280
<v Speaker 10>I think you know they've have had a number of

0:20:06.280 --> 0:20:07.080
<v Speaker 10>cars on the road.

0:20:07.680 --> 0:20:08.320
<v Speaker 8>It's working.

0:20:09.920 --> 0:20:12.120
<v Speaker 10>You know, there's always going to be some issues here

0:20:12.119 --> 0:20:15.320
<v Speaker 10>and there. But look, I think if you look at

0:20:15.359 --> 0:20:20.679
<v Speaker 10>Tesla's technology and their approach with using cameras, it's just

0:20:21.280 --> 0:20:25.120
<v Speaker 10>much easier to scale and especially now if you look

0:20:25.160 --> 0:20:28.639
<v Speaker 10>at the recent news, you know, the Chinese are actually

0:20:28.640 --> 0:20:31.320
<v Speaker 10>opening up the market, opening up the market for them

0:20:31.560 --> 0:20:35.679
<v Speaker 10>and allowing them to export some of that data, training

0:20:35.760 --> 0:20:39.480
<v Speaker 10>data out of China. That's a huge that's a huge

0:20:39.520 --> 0:20:43.960
<v Speaker 10>win for Tesla and scaling over the long term.

0:20:44.359 --> 0:20:47.560
<v Speaker 2>Steve I used full self driving supervised the latest version

0:20:47.600 --> 0:20:49.800
<v Speaker 2>this morning to go to thirty miles from my house

0:20:49.960 --> 0:20:52.960
<v Speaker 2>to the studio. I do it every day. You stay

0:20:53.080 --> 0:20:55.439
<v Speaker 2>very clearly it's still a level two system right on

0:20:55.480 --> 0:20:58.639
<v Speaker 2>a technical basis, do you see the jump to a

0:20:58.680 --> 0:21:01.520
<v Speaker 2>software platform that how is a vehicle with no one

0:21:01.560 --> 0:21:03.919
<v Speaker 2>in the driver's seat at all?

0:21:04.320 --> 0:21:07.119
<v Speaker 10>That's that's gonna be a while. I have to admittedly

0:21:07.160 --> 0:21:09.560
<v Speaker 10>say it's going to be a while. I think the

0:21:09.640 --> 0:21:13.040
<v Speaker 10>consumer needs to gain confidence. It's going to be a

0:21:13.040 --> 0:21:15.160
<v Speaker 10>gold standard. It's going to be you know, if if

0:21:15.160 --> 0:21:20.080
<v Speaker 10>a car is ninety nine point ninety nine percent accurate,

0:21:20.400 --> 0:21:24.000
<v Speaker 10>I think then the consumer will be more confidence. Before that,

0:21:24.520 --> 0:21:26.639
<v Speaker 10>I think there's going to be always some level of

0:21:26.760 --> 0:21:30.520
<v Speaker 10>monitoring from from the consumer. We're not at that stage

0:21:30.560 --> 0:21:33.159
<v Speaker 10>where we see you know, this is not like the

0:21:33.240 --> 0:21:36.520
<v Speaker 10>Eye Robot movie that that Will Smith was was on

0:21:36.600 --> 0:21:39.520
<v Speaker 10>a long time ago, where you know cars are actually

0:21:39.600 --> 0:21:43.240
<v Speaker 10>driving itself and making decisions on their own. We're not

0:21:43.280 --> 0:21:47.919
<v Speaker 10>at that at that moment yet. But what's really important

0:21:47.960 --> 0:21:51.800
<v Speaker 10>is the training data, and that's where Tesla also comes

0:21:51.840 --> 0:21:54.720
<v Speaker 10>in as well, where they have just tons of training

0:21:54.800 --> 0:21:56.440
<v Speaker 10>data from around the world.

0:21:57.320 --> 0:22:00.280
<v Speaker 6>Steve Man of BlueBag Intelligence is a great read. Thanks

0:22:00.280 --> 0:22:00.720
<v Speaker 6>for coming on.

0:22:00.960 --> 0:22:03.480
<v Speaker 3>Now coming up Meta, it has to start showing ads

0:22:03.480 --> 0:22:06.720
<v Speaker 3>in WhatsApp, it's private messaging services. We'll find out what

0:22:06.840 --> 0:22:09.879
<v Speaker 3>the change means for users and for the social media giant.

0:22:10.520 --> 0:22:23.159
<v Speaker 3>This is Bloomberg Tech. Welcome back to Bloomberg Tech. I'm

0:22:23.200 --> 0:22:24.480
<v Speaker 3>Caroline Hyde in New York.

0:22:24.680 --> 0:22:26.200
<v Speaker 2>And I met love Loow in San Francisco.

0:22:26.359 --> 0:22:28.400
<v Speaker 3>Quick check on these markets said, because look, we are

0:22:28.440 --> 0:22:31.639
<v Speaker 3>powering back after selling off on Friday and mid geopolitical anxiety,

0:22:32.040 --> 0:22:34.840
<v Speaker 3>we rally as we all eyes atturn our attention to

0:22:35.040 --> 0:22:37.520
<v Speaker 3>Iran Israel and of course what's happening at the g

0:22:37.600 --> 0:22:40.399
<v Speaker 3>seventh summit. But under the hood, chip makers having a

0:22:40.440 --> 0:22:43.080
<v Speaker 3>really nice day, AMD leading the charge up more than

0:22:43.119 --> 0:22:46.359
<v Speaker 3>eight percent after it's unveiled last week of GPUs and

0:22:46.400 --> 0:22:47.880
<v Speaker 3>some analyst notes on the back of that. But move

0:22:47.920 --> 0:22:50.520
<v Speaker 3>on to Meta because it is one of the key

0:22:50.640 --> 0:22:53.120
<v Speaker 3>points contributors, the second biggest points contributor.

0:22:53.160 --> 0:22:54.879
<v Speaker 6>On the day, we're up three percent.

0:22:55.320 --> 0:22:59.679
<v Speaker 3>Why because the announcements when it comes to advertising ED YEP.

0:22:59.880 --> 0:23:02.760
<v Speaker 2>Announce it's introducing ads as well as some new features

0:23:02.800 --> 0:23:06.040
<v Speaker 2>into WhatsApp. It marks a change for the privacy focus

0:23:06.080 --> 0:23:08.800
<v Speaker 2>messaging platform. Blue most Riley Griffin joins us, this is

0:23:08.800 --> 0:23:11.119
<v Speaker 2>all about the updates tab and what people maybe outside

0:23:11.119 --> 0:23:13.560
<v Speaker 2>of America actually don't appreciate. It's like one and a

0:23:13.560 --> 0:23:17.359
<v Speaker 2>half billion visits per day to this updates tab. What's

0:23:17.400 --> 0:23:19.720
<v Speaker 2>the ad strategy here for Meta? Because clearly the shares

0:23:19.720 --> 0:23:22.760
<v Speaker 2>are higher. This is something the markets es is positive.

0:23:23.040 --> 0:23:23.240
<v Speaker 6>Yeah.

0:23:23.280 --> 0:23:27.960
<v Speaker 11>Meta has begun introducing ads to various outlets other than

0:23:28.119 --> 0:23:30.760
<v Speaker 11>Instagram and Facebook, the platforms that we know really well,

0:23:30.800 --> 0:23:33.920
<v Speaker 11>and here with WhatsApp, they're introducing those ads starting today,

0:23:34.240 --> 0:23:38.560
<v Speaker 11>rolling that out over time into the updates tab, which

0:23:38.600 --> 0:23:41.320
<v Speaker 11>is much like stories. You're able to get other kinds

0:23:41.320 --> 0:23:43.919
<v Speaker 11>of information there, and they're not actually introducing it to

0:23:44.080 --> 0:23:46.720
<v Speaker 11>the conversations the messages that you and I might be

0:23:46.760 --> 0:23:47.280
<v Speaker 11>having ED.

0:23:48.080 --> 0:23:50.440
<v Speaker 6>But this is a new revenue line. They're introducing it.

0:23:50.480 --> 0:23:53.679
<v Speaker 11>While at Con this week, advertising is the name of

0:23:53.680 --> 0:23:56.840
<v Speaker 11>the game, and more to come in terms of how

0:23:56.880 --> 0:23:58.959
<v Speaker 11>big of a share of revenue this world pull in.

0:23:59.359 --> 0:23:59.639
<v Speaker 6>Rnie.

0:23:59.680 --> 0:24:02.760
<v Speaker 3>Yeah, got to walk that fine line that they don't

0:24:02.800 --> 0:24:06.159
<v Speaker 3>invade what we feel is very personalized and private conversations,

0:24:06.359 --> 0:24:09.800
<v Speaker 3>the going down the updates route, but also subscriptions. In

0:24:09.840 --> 0:24:12.720
<v Speaker 3>the longer term, the business communications is really going to

0:24:12.720 --> 0:24:14.320
<v Speaker 3>be where it's at.

0:24:14.440 --> 0:24:18.600
<v Speaker 11>No doubt they've been using the platform to bring businesses on.

0:24:19.200 --> 0:24:22.840
<v Speaker 11>You can communicate with airlines, with shops. But a really

0:24:22.920 --> 0:24:25.919
<v Speaker 11>important point that you made, Caroline is that this was

0:24:25.960 --> 0:24:29.200
<v Speaker 11>not the intention of the original WhatsApp owners when met

0:24:29.200 --> 0:24:30.760
<v Speaker 11>about the company in twenty fourteen.

0:24:31.160 --> 0:24:32.159
<v Speaker 6>Even before then.

0:24:32.520 --> 0:24:34.920
<v Speaker 11>The co founders had said that they would never introduce

0:24:34.960 --> 0:24:37.399
<v Speaker 11>ads to the platform. So this is a market change

0:24:37.800 --> 0:24:41.360
<v Speaker 11>and one very specific to Mark Zuckerberg.

0:24:41.600 --> 0:24:44.000
<v Speaker 2>The main thing about Meta right now is that ads

0:24:44.040 --> 0:24:46.480
<v Speaker 2>is still the core. It's still the bread and butter business.

0:24:47.080 --> 0:24:50.879
<v Speaker 2>But success and growth and top line growth all justifies

0:24:51.359 --> 0:24:53.719
<v Speaker 2>investment in AI. I think that's still the formula.

0:24:53.760 --> 0:24:54.400
<v Speaker 6>Absolutely.

0:24:54.440 --> 0:24:56.760
<v Speaker 11>We know that Meta might be spending more than seventy

0:24:56.800 --> 0:24:59.200
<v Speaker 11>billion on AI this week. This comes on the news

0:24:59.280 --> 0:25:02.280
<v Speaker 11>last week that Meta is finalizing a deal for Scale

0:25:02.280 --> 0:25:07.119
<v Speaker 11>AI that is more than fourteen billion investment to be specific.

0:25:07.520 --> 0:25:11.040
<v Speaker 11>But ads are going to be improved by AI, no doubt.

0:25:11.160 --> 0:25:13.280
<v Speaker 11>And that's the conversation in comm this week.

0:25:13.560 --> 0:25:14.639
<v Speaker 6>And it's a perfect set up.

0:25:14.720 --> 0:25:16.560
<v Speaker 3>Riley Griffin, we thank you because let's go out to

0:25:16.600 --> 0:25:20.000
<v Speaker 3>CAM right now and talk about social media advertising more

0:25:20.040 --> 0:25:22.760
<v Speaker 3>with Rachel Tippograph founeracy of Mick Matt. You're out there

0:25:23.320 --> 0:25:25.359
<v Speaker 3>taking a step out of the sam for a moment

0:25:25.600 --> 0:25:28.760
<v Speaker 3>to be with us. Rachel, just talk about the well

0:25:28.840 --> 0:25:31.840
<v Speaker 3>euphoria around how generative AI is going to be helping

0:25:31.880 --> 0:25:35.200
<v Speaker 3>the AI offering and advertising offering.

0:25:35.080 --> 0:25:36.800
<v Speaker 6>But is it going to impact companies and people?

0:25:38.359 --> 0:25:42.200
<v Speaker 12>So everyone's in agreement that AI is going to lower

0:25:42.240 --> 0:25:45.199
<v Speaker 12>the barrier to entry for advertising. Where has all the

0:25:45.240 --> 0:25:49.000
<v Speaker 12>friction been in the creative and ad buying process, generating

0:25:49.040 --> 0:25:52.560
<v Speaker 12>creative figuring out where you're going to invest your dollars,

0:25:53.080 --> 0:25:57.639
<v Speaker 12>launching those ads and auto optimizing experiences and ultimately getting

0:25:57.680 --> 0:26:01.399
<v Speaker 12>reporting back. Where the friction is in the conversation right

0:26:01.440 --> 0:26:05.080
<v Speaker 12>now at con with CMOS is that they absolutely agree

0:26:05.280 --> 0:26:08.040
<v Speaker 12>that there are efficiency disease to be had in the

0:26:08.080 --> 0:26:11.000
<v Speaker 12>process that I just describe, but what they feel cannot

0:26:11.040 --> 0:26:15.879
<v Speaker 12>be outsourced is creative ideas that break through culture. And

0:26:15.960 --> 0:26:19.240
<v Speaker 12>so it's interesting that Zuckerberg has been very bold in

0:26:19.280 --> 0:26:22.000
<v Speaker 12>his statement where he's essentially said, by the end of

0:26:22.040 --> 0:26:26.520
<v Speaker 12>twenty twenty six, all human intervention will be removed from advertising.

0:26:27.760 --> 0:26:31.120
<v Speaker 12>I believe that fifty percent will be removed, but not

0:26:31.240 --> 0:26:34.520
<v Speaker 12>one hundred percent. And the biggest cmos in the world

0:26:35.080 --> 0:26:36.360
<v Speaker 12>share the same sentiment.

0:26:36.880 --> 0:26:38.520
<v Speaker 6>What about the social media companies?

0:26:38.560 --> 0:26:40.960
<v Speaker 3>The biggest in the world is TikTok, is it on

0:26:41.080 --> 0:26:43.879
<v Speaker 3>veilzez It's general to AI offering also as bullish as

0:26:43.880 --> 0:26:44.520
<v Speaker 3>Mark Zukobog.

0:26:45.680 --> 0:26:49.040
<v Speaker 12>Absolutely, there's a place to lower the barrier to entry

0:26:49.040 --> 0:26:52.800
<v Speaker 12>in terms of creative What's interesting with TikTok's announcements this

0:26:52.840 --> 0:26:54.439
<v Speaker 12>week is that they even said that they're going to

0:26:54.440 --> 0:26:59.800
<v Speaker 12>help generate influencer content, which raises the question around authenticity.

0:27:00.359 --> 0:27:03.639
<v Speaker 12>So while AI is going to help lower the barrier

0:27:03.680 --> 0:27:07.200
<v Speaker 12>to entry increase productivity, it's also going to create new

0:27:07.280 --> 0:27:08.520
<v Speaker 12>questions in advertising.

0:27:09.000 --> 0:27:09.680
<v Speaker 2>Is this real?

0:27:10.240 --> 0:27:13.560
<v Speaker 12>How much is an advertiser willing to spend on a

0:27:13.560 --> 0:27:16.879
<v Speaker 12>agentic impression? Will they spend the same amount on a

0:27:16.960 --> 0:27:20.760
<v Speaker 12>human impression. It's going to create a whole new opening

0:27:20.840 --> 0:27:23.280
<v Speaker 12>and advertising for new companies to come to market to

0:27:23.320 --> 0:27:26.520
<v Speaker 12>define what the standardization is in terms of ad buying

0:27:26.760 --> 0:27:31.040
<v Speaker 12>measurement in forms of agentic AI and creative experiences.

0:27:31.920 --> 0:27:35.280
<v Speaker 2>Rachel, what are people talking about on tiktoking? Can there's

0:27:35.320 --> 0:27:39.440
<v Speaker 2>a June nineteenth deadline for sale shut down? We haven't

0:27:39.520 --> 0:27:41.680
<v Speaker 2>yet gotten an extension. What are you hearing?

0:27:42.520 --> 0:27:46.000
<v Speaker 12>Everyone has come to the point in this journey where

0:27:46.040 --> 0:27:49.240
<v Speaker 12>they believe TikTok is here to stay. When we look

0:27:49.280 --> 0:27:52.720
<v Speaker 12>at mickmac data, it's essentially held as our third most

0:27:52.720 --> 0:27:56.000
<v Speaker 12>traffic channel on any given day Meta number one, Google

0:27:56.000 --> 0:28:00.560
<v Speaker 12>Search number two, TikTok number three. When TikTok went dark

0:28:00.600 --> 0:28:04.600
<v Speaker 12>on January nineteenth, it did take about until March first

0:28:04.680 --> 0:28:08.360
<v Speaker 12>for advertisers to get back to Q four levels of traffic.

0:28:08.960 --> 0:28:12.240
<v Speaker 12>By May, we saw it surpass Rach on any given

0:28:12.320 --> 0:28:15.440
<v Speaker 12>day in May, just going to seventy percent of traffic.

0:28:15.200 --> 0:28:18.840
<v Speaker 3>Rachel typograph keeping it global. So good to have you found, Racio, MIKEMP.

0:28:24.880 --> 0:28:27.919
<v Speaker 2>VC firms are continuing to step up their investments in

0:28:28.000 --> 0:28:31.560
<v Speaker 2>AIAI Expentsures is one of those early stage VC firms

0:28:31.600 --> 0:28:34.639
<v Speaker 2>doing just that. Sean Johnson, co founder and general partner

0:28:34.680 --> 0:28:38.360
<v Speaker 2>AIX menures joins us now earlier in the show one X.

0:28:38.360 --> 0:28:40.640
<v Speaker 2>On the robotics side, we've been thinking a lot about

0:28:40.640 --> 0:28:45.400
<v Speaker 2>scale AI data on that side, agentic AI. What they

0:28:45.480 --> 0:28:47.200
<v Speaker 2>all have in common, to my mind is that the

0:28:47.280 --> 0:28:50.960
<v Speaker 2>cost of getting towards this level of intelligence is coming

0:28:51.000 --> 0:28:53.480
<v Speaker 2>down and down and down. How do you invest in

0:28:53.520 --> 0:28:55.280
<v Speaker 2>the early stage to kind of rite that wave?

0:28:55.960 --> 0:28:57.440
<v Speaker 13>Yeah, and thank you so much for having me.

0:28:57.920 --> 0:28:58.120
<v Speaker 6>Yeah.

0:28:58.120 --> 0:29:01.000
<v Speaker 13>Absolutely, we think a lot about this new era where

0:29:01.880 --> 0:29:04.120
<v Speaker 13>the cost of intelligence, just as you called out, is

0:29:04.200 --> 0:29:06.960
<v Speaker 13>going to zero, and so what does that mean for

0:29:06.960 --> 0:29:08.880
<v Speaker 13>the new world we're going to live in. That means

0:29:08.880 --> 0:29:11.000
<v Speaker 13>that you're on the consumer side, you're going to have

0:29:11.040 --> 0:29:14.720
<v Speaker 13>ready access to tutors doctors. On the enterprise side, you're

0:29:14.760 --> 0:29:19.800
<v Speaker 13>going to see more and more knowledge workers be augmented

0:29:20.200 --> 0:29:25.560
<v Speaker 13>and some replaced by AI. And so we invest at

0:29:25.560 --> 0:29:28.480
<v Speaker 13>the early stage, you know, first check. We are looking

0:29:28.520 --> 0:29:32.560
<v Speaker 13>at founders with big visions looking to change the world,

0:29:32.920 --> 0:29:35.320
<v Speaker 13>that want to move very fast to bring that disruption

0:29:35.400 --> 0:29:37.560
<v Speaker 13>to market. And that's how we've positioned the fur.

0:29:38.440 --> 0:29:42.120
<v Speaker 3>What's interesting is there's big visions coming from big companies. Sean,

0:29:42.360 --> 0:29:44.480
<v Speaker 3>we can't help but sort of draw the attention that

0:29:44.560 --> 0:29:48.000
<v Speaker 3>it's phenomenal amounts of money coming from just a few

0:29:48.120 --> 0:29:50.920
<v Speaker 3>key players, whether it be Amazon, whether it be Meta.

0:29:51.080 --> 0:29:54.080
<v Speaker 3>And of course, reports that open Ai might be snapping

0:29:54.160 --> 0:29:56.959
<v Speaker 3>up one of your portfolio companies, Weights and Biases has

0:29:57.000 --> 0:29:59.800
<v Speaker 3>already been eyed as well and bought by call Weave.

0:30:00.160 --> 0:30:01.800
<v Speaker 6>Is M and A going to happen for these smaller

0:30:01.800 --> 0:30:02.520
<v Speaker 6>companies a lot?

0:30:04.320 --> 0:30:07.680
<v Speaker 13>Absolutely? I mean so, I'd say two things there. The

0:30:07.720 --> 0:30:10.640
<v Speaker 13>first is it makes sense for the large companies to

0:30:10.640 --> 0:30:13.040
<v Speaker 13>get a lot of attention. They make a lot of revenue,

0:30:13.040 --> 0:30:16.160
<v Speaker 13>they have large market caps. Venture capital is a business

0:30:16.160 --> 0:30:18.720
<v Speaker 13>that's focused on small companies that start with no revenue

0:30:19.640 --> 0:30:23.920
<v Speaker 13>and then have much smaller prospects in the short term,

0:30:23.960 --> 0:30:26.880
<v Speaker 13>but can grow quickly and under the radar to an

0:30:26.920 --> 0:30:30.360
<v Speaker 13>extent of the large companies. Now, large companies are certainly

0:30:30.400 --> 0:30:35.200
<v Speaker 13>focused on building AI native teams, bringing AI throughout, refusing

0:30:35.280 --> 0:30:39.760
<v Speaker 13>that sort of mindset throughout their organizations, and M and

0:30:39.840 --> 0:30:41.880
<v Speaker 13>A is very important for that. And it's going to

0:30:41.920 --> 0:30:44.320
<v Speaker 13>happen at all stages. It's going to happen at startups

0:30:44.360 --> 0:30:46.160
<v Speaker 13>that are really just getting started. It's also going to

0:30:46.160 --> 0:30:48.880
<v Speaker 13>happen at startups that are fairly far along to.

0:30:50.640 --> 0:30:53.240
<v Speaker 2>Perplexity. We just showed some of the portfolio companies on

0:30:53.240 --> 0:30:56.760
<v Speaker 2>the screen that this thesis building that they're almost peerless.

0:30:57.040 --> 0:30:58.520
<v Speaker 2>They get talked a lot about in the context of

0:30:58.560 --> 0:31:01.200
<v Speaker 2>Google and Search, also get towards about in the context

0:31:01.280 --> 0:31:04.200
<v Speaker 2>of sort of those working on the on the frontier model.

0:31:05.120 --> 0:31:08.360
<v Speaker 2>Just your your thesis on them, please sure.

0:31:09.040 --> 0:31:12.440
<v Speaker 13>So you know, Arvind and the team have been setting

0:31:12.480 --> 0:31:16.240
<v Speaker 13>their sights on building an iconic business. And we all

0:31:16.280 --> 0:31:18.840
<v Speaker 13>know one thing's true in AI as it moves very fast.

0:31:19.000 --> 0:31:20.240
<v Speaker 13>You know, if you never know what's going to be

0:31:20.280 --> 0:31:22.160
<v Speaker 13>launched tomorrow, what's going to be launched the next day.

0:31:22.440 --> 0:31:24.880
<v Speaker 13>And the amazing thing about Perplexity in the team is

0:31:25.240 --> 0:31:27.840
<v Speaker 13>they have a group of some of the world's foremost

0:31:27.960 --> 0:31:31.680
<v Speaker 13>practitioners executing at you know, the speed of light, if

0:31:31.720 --> 0:31:34.520
<v Speaker 13>you will. And so they're all focused right now on,

0:31:34.880 --> 0:31:38.600
<v Speaker 13>you know, redefining what knowledge knowledge engine looks like. But

0:31:38.640 --> 0:31:40.680
<v Speaker 13>then also you're going to see Commet their new browser

0:31:40.720 --> 0:31:43.680
<v Speaker 13>come out very soon, and that's going to redefine again

0:31:43.960 --> 0:31:46.680
<v Speaker 13>what Argentic Solutions can bring you.

0:31:46.760 --> 0:31:51.000
<v Speaker 3>Of course, yourself were very much helming product design at

0:31:51.000 --> 0:31:54.360
<v Speaker 3>startups before you came onto co found aix bench as Sean,

0:31:54.600 --> 0:31:56.960
<v Speaker 3>what'sn't only one question people are coming to your founders

0:31:56.960 --> 0:31:57.760
<v Speaker 3>coming to you at the moment.

0:31:57.800 --> 0:31:59.760
<v Speaker 6>Is it about talent? Is it about taris what is

0:31:59.760 --> 0:32:00.280
<v Speaker 6>it a app?

0:32:03.320 --> 0:32:06.320
<v Speaker 13>Yeah, that's a really good question, Caroline. Founders often talk

0:32:06.400 --> 0:32:09.240
<v Speaker 13>to us about, you know, number one, how do you start,

0:32:09.560 --> 0:32:13.200
<v Speaker 13>you know, connecting with early customers, early prospects. It's all

0:32:13.240 --> 0:32:15.600
<v Speaker 13>about product market fit, and that can be elusive for

0:32:15.680 --> 0:32:19.000
<v Speaker 13>many years into the journey. You know that is an

0:32:19.200 --> 0:32:22.920
<v Speaker 13>entrepreneurs and so what we do is orient ourselves around

0:32:22.960 --> 0:32:24.720
<v Speaker 13>the founder and we think a lot about how do

0:32:24.800 --> 0:32:27.200
<v Speaker 13>we get to product market fit with the founder through

0:32:28.200 --> 0:32:31.760
<v Speaker 13>lots of customer conversations, hiring a team, thinking about business

0:32:31.760 --> 0:32:35.080
<v Speaker 13>strategy execution, but then also connecting with the next wave

0:32:35.120 --> 0:32:37.880
<v Speaker 13>of venture firms will that will continue to back the founders.

0:32:38.240 --> 0:32:41.800
<v Speaker 3>Jean Johnson of AI Expensions, we appreciate you coming on today.

0:32:41.800 --> 0:32:42.000
<v Speaker 7>Thanks.

0:32:42.600 --> 0:32:45.200
<v Speaker 3>Now let's just talk about one time login codes. You

0:32:45.280 --> 0:32:47.320
<v Speaker 3>probably have them a lot that meant to be security

0:32:47.400 --> 0:32:51.200
<v Speaker 3>and verify users identity that may not actually though, be

0:32:51.320 --> 0:32:54.719
<v Speaker 3>all that private. Millions of those codes sent via text

0:32:54.920 --> 0:32:57.720
<v Speaker 3>pastor into madiories, making it possible for entities to actually

0:32:57.720 --> 0:33:00.680
<v Speaker 3>see their content and most, Ryan Gallagher is been really

0:33:00.760 --> 0:33:03.880
<v Speaker 3>needing the charge. This is an investigation, a deep one, Ryan,

0:33:04.040 --> 0:33:07.200
<v Speaker 3>just showing how actually we shouldn't really be using TECHSSMS

0:33:07.200 --> 0:33:11.440
<v Speaker 3>as our form of two factual authentication. That's right.

0:33:11.560 --> 0:33:15.720
<v Speaker 14>Yeah, we looked in depth at this issue because I

0:33:15.800 --> 0:33:17.880
<v Speaker 14>think a lot of people don't realize that when you

0:33:17.960 --> 0:33:21.240
<v Speaker 14>log into whether it's a banking app or whether it's

0:33:21.280 --> 0:33:24.560
<v Speaker 14>Google or Meta, when you receive one of these logging

0:33:24.600 --> 0:33:28.880
<v Speaker 14>codes via SMS, it isn't actually coming directly from the

0:33:28.920 --> 0:33:31.440
<v Speaker 14>tech company or the platform that you're logging into is

0:33:31.520 --> 0:33:36.760
<v Speaker 14>routed through intermediaries all across the world, and there's very

0:33:36.800 --> 0:33:40.440
<v Speaker 14>little oversight of who actually handles those messages. So that's

0:33:40.480 --> 0:33:42.640
<v Speaker 14>what we set about to do is to show look

0:33:42.680 --> 0:33:46.480
<v Speaker 14>who is actually looking at these security codes and is

0:33:46.520 --> 0:33:49.719
<v Speaker 14>there a potential vulnerability in terms of the people who

0:33:49.760 --> 0:33:51.800
<v Speaker 14>are accessing the codes. And that's what we found that

0:33:51.800 --> 0:33:54.400
<v Speaker 14>there's some concerns around some of the entities that are

0:33:54.400 --> 0:33:55.560
<v Speaker 14>handling them.

0:33:55.960 --> 0:33:58.360
<v Speaker 2>Ryan, what's the alternative then to SMS? We just have

0:33:58.520 --> 0:33:59.440
<v Speaker 2>thirty seconds.

0:34:00.600 --> 0:34:03.640
<v Speaker 14>The alternative is to use, for example, an authenticator app

0:34:03.680 --> 0:34:06.120
<v Speaker 14>on your phone which actually gives you the code on

0:34:06.160 --> 0:34:08.920
<v Speaker 14>your phone. You don't have to rely on SMS. It

0:34:08.960 --> 0:34:11.880
<v Speaker 14>doesn't go across any network. It's just on your device

0:34:11.960 --> 0:34:14.520
<v Speaker 14>all the time and it stays there. So authenticator apps

0:34:14.719 --> 0:34:16.840
<v Speaker 14>Google those and you'll find plenty of options.

0:34:17.400 --> 0:34:20.600
<v Speaker 3>Ryan Allagher, it's a really thoughtful piece. We hurt you

0:34:20.680 --> 0:34:22.640
<v Speaker 3>to go and read it from a business perspective, from

0:34:22.640 --> 0:34:25.480
<v Speaker 3>a security perspective. Now that does it for this edition

0:34:25.520 --> 0:34:26.520
<v Speaker 3>of Bloomberg Tech ed.

0:34:27.400 --> 0:34:29.719
<v Speaker 2>Yeah, astonishing way to start the week. Don't forget to

0:34:29.760 --> 0:34:32.080
<v Speaker 2>recap through the podcast. You know where to find the pod.

0:34:32.120 --> 0:34:35.080
<v Speaker 2>It's on the Bloomberg terminal all the Bloomberg platforms, as

0:34:35.080 --> 0:34:39.200
<v Speaker 2>well as online on Apple, Spotify in iHeart all right,

0:34:39.640 --> 0:34:41.799
<v Speaker 2>strong way to start the week. From San Francisco, New

0:34:41.880 --> 0:34:43.839
<v Speaker 2>York City. This IS's Bloomberg Tech