WEBVTT - X's Advertiser Problem and ChatGPT's One-Year Anniversary

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<v Speaker 1>From Mahart where Innovation, money and power Collie in Silicon Valley, NBN.

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<v Speaker 2>This is Bloomberg Technology with Caroline Hyde and Ed Ludlove.

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<v Speaker 3>I'm Caroline Heine Bluemug's World headquarters in New York, and

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<v Speaker 3>I'm Ed Ludlow in San Francisco.

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<v Speaker 2>This is Bloombay Technology.

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<v Speaker 3>Coming up full earnings coverage ahead salesforce and jumps after

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<v Speaker 3>forecasting profit the top estimates and showing signs of momentum

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<v Speaker 3>in cost cutting.

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<v Speaker 4>And Elon Musk says the advertiser boycotton X may kill

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<v Speaker 4>the platform. Will break down his comments and look at

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<v Speaker 4>the rollout of Tesla's cyber truck plus.

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<v Speaker 3>Today marks one year since the public rollout of chat GPT,

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<v Speaker 3>bringing AI into the spotlight and sparking a wave of

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<v Speaker 3>investment and hiring. Will dig in to what that one

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<v Speaker 3>year anniversary red means. But first that's checking on these

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<v Speaker 3>markets because while we're coming to the end of the

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<v Speaker 3>month here and what a month it has been, but

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<v Speaker 3>in the short term we just perhaps give off some

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<v Speaker 3>of those profits. We see off about nine ten percent

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<v Speaker 3>on the Nasdaq. Look the PCE, the number, the inflationary

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<v Speaker 3>indicator coming in basically where.

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<v Speaker 5>The market had anticipated.

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<v Speaker 3>So they're already priced in the good news and maybe

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<v Speaker 3>we sell the fact we'll look at the ten yure

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<v Speaker 3>YELD actually just bouncing up a little bit after what

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<v Speaker 3>has been a roaring November for the bomb market as well.

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<v Speaker 3>I mean, just phenomenal by everything rally for the November month,

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<v Speaker 3>and we're seeing Crypto just giving off a little bit,

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<v Speaker 3>but look hardly any movement there down a by a

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<v Speaker 3>tenth of a percent, moving on, and I just want

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<v Speaker 3>to give you the context of where we've been this

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<v Speaker 3>month because an extraordinary move high that we have seen

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<v Speaker 3>in the Nasdaq overall, and we've given well, well you

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<v Speaker 3>see over the last actually there is Bitcoin over the

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<v Speaker 3>last month that's up some nine percent, Nasdaq itself up

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<v Speaker 3>well ten percent on the months, which has clearly been

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<v Speaker 3>the best month for the Nasdaq since January, and Bitcoin

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<v Speaker 3>as well, up more than nine percent. Really, it's been

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<v Speaker 3>in everything rally, risk on and what about the individual movers.

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<v Speaker 4>To It's been a really busy twenty four hours in

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<v Speaker 4>the earnings context with Technology Snowflakes strong outlook boosting that

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<v Speaker 4>stock up almost five percent. HPEU graded at Morgan Stanley

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<v Speaker 4>which is adding to a two day rally. It posted

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<v Speaker 4>results Wednesday night, you'll remember, but it is showing real strength.

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<v Speaker 4>Then a thriller for you in the story's face, pure

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<v Speaker 4>story is giving a weak sales outlook that really hammering

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<v Speaker 4>the stock. And then elsewhere, big rival Newtoni's actually upgrading

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<v Speaker 4>its billings forecast that's supporting that stock. The main earning

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<v Speaker 4>story is Salesforce, and you're right, the story with Salesforce

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<v Speaker 4>is that it's cost discipline, its cost cutting is showing

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<v Speaker 4>a real path to boosting profitability. The stock up six

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<v Speaker 4>and a half percent, putting it on track for its

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<v Speaker 4>biggest jump since March.

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<v Speaker 2>Is this the Mark Benioff effect?

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<v Speaker 4>Is this him listening to the investors and acting while

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<v Speaker 4>the stock seems to be reacting such that it is.

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<v Speaker 3>Yeah, I mean, look at that up more than six percent.

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<v Speaker 3>Let's get to it with our own Salesforce reporter bringing

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<v Speaker 3>Brody Ford, and.

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<v Speaker 5>It does seem to be this new era of cost

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<v Speaker 5>discipline that really benefits Salesforce. Is there underlying revenue generation

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<v Speaker 5>going on?

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<v Speaker 2>Hit to you, that's everybody's fear, right.

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<v Speaker 6>I mean, it was a year ago, about a year

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<v Speaker 6>ago today that Salesforce said that their co CEO is

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<v Speaker 6>stepping down. It kicked off as kind of unprecedented wave

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<v Speaker 6>of chaos.

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<v Speaker 5>Right over the period of a quarter or two.

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<v Speaker 6>We saw executive resignations, activists, investors.

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<v Speaker 7>Taylor is right, right, but yeah, and ultimately though they

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<v Speaker 7>raised their profits incredibly, it made people very happy, but

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<v Speaker 7>then it made them very scared because then revenue growth

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<v Speaker 7>started slowing down.

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<v Speaker 6>What we saw last night is that as long as

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<v Speaker 6>revenue growth stays stable and profit keeps going up, well

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<v Speaker 6>that's good enough for now.

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<v Speaker 4>Hey Brady, how does AI play into that story? I

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<v Speaker 4>know it's something that any off flights to talk about.

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<v Speaker 2>Yep.

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<v Speaker 6>Yeah, so they're really big hope here with AI is

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<v Speaker 6>that it can help bring revenue growth back up. That's

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<v Speaker 6>immaterial for the current year, but they're hoping that when

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<v Speaker 6>it comes to next year, it'll help, you know, upsell

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<v Speaker 6>people on most new so descriptions. Right, You got to

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<v Speaker 6>pay a little extra to get the chat bar in

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<v Speaker 6>your apps where you can use that to automate your processes,

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<v Speaker 6>ask good questions, bring in your favorite large language models,

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<v Speaker 6>and so there you have been pretty much putting AI

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<v Speaker 6>into every single press release you can find and it.

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<v Speaker 6>You know, the cat is out on whether it will

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<v Speaker 6>truly boost revenue growth the way they hope.

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<v Speaker 4>Doomber's brady for busy earning season. For you covering Snowflake

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<v Speaker 4>as well, Thank you very much, all right. The other

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<v Speaker 4>top story. Ever since Musk agreed with an anti semitic

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<v Speaker 4>post on his social platform X earlier this month, that

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<v Speaker 4>was November fifteenth, the billionaire has been under fire Caro

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<v Speaker 4>from the White House, several test investors. But for the

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<v Speaker 4>first time since that post prompted the global backlash, let's

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<v Speaker 4>be honest, Musk has apologized to his choice of words,

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<v Speaker 4>saying that the post was quote the worst and dumbest

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<v Speaker 4>he's ever done. That was during the New York Times

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<v Speaker 4>Deal Book conference in New York. He also said his

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<v Speaker 4>trip to Israel was planned before the advertiser backlash and

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<v Speaker 4>wasn't an apology tour. So, I mean, look, you and

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<v Speaker 4>I were talking about this this morning at our desks.

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<v Speaker 4>This is an apology first and foremost, and then an

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<v Speaker 4>exploit expletive laid in message to the advertisers, which was basically,

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<v Speaker 4>don't advertise.

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<v Speaker 5>Yeah, he's not apologizing to them.

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<v Speaker 3>He might be apologizing to the media, to the user base,

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<v Speaker 3>to those that he feels have perhaps misunderstood his messaging

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<v Speaker 3>along and certainly once again time and time again saying

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<v Speaker 3>he's not antisemitic, but many will point to the way

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<v Speaker 3>in which he interacts on his own social media platform

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<v Speaker 3>as not being clear and consistent with that thought.

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<v Speaker 5>But putting to that to one side, the fact that.

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<v Speaker 3>He can basically bring Bob Iger's name into the conversation

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<v Speaker 3>on stage explutive least as you say, and basically saying, look,

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<v Speaker 3>you're the ones that are killing X. Meanwhile, I mean

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<v Speaker 3>many would say is he the one killing X in

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<v Speaker 3>the respect that it's his own actions that perhaps push

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<v Speaker 3>away some of these advertisers, but also he's the guy

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<v Speaker 3>who could perhaps sustain it.

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<v Speaker 5>He's got the money.

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<v Speaker 2>Yeah, I think you know.

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<v Speaker 4>There are the debt equation of Twitter and X and

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<v Speaker 4>how he bought it. There are the equity holders in X,

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<v Speaker 4>the platform formerly known as Twitter. That basically what he said,

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<v Speaker 4>and it's fair to point out. On November fifteenth, he

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<v Speaker 4>regretted that post, but he said he immediately followed up

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<v Speaker 4>with the clarification that the media ignored in his words,

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<v Speaker 4>and as for Bob Byger, he basically said, hey, Bob,

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<v Speaker 4>I'm sure you're in the audience. We think that's a

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<v Speaker 4>reference to Disney CEO Bobbieger, though he wasn't explicit.

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<v Speaker 3>Yeah, and probably they'd been together in the green room

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<v Speaker 3>perhaps before of that, because Bobbigo had been speaking at

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<v Speaker 3>the same conference as well.

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<v Speaker 5>But all of this basically is noise around what.

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<v Speaker 3>Is going to be a big main event for one

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<v Speaker 3>of his key companies, Tesla. We just referenced how some

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<v Speaker 3>investors have been concerned about the way he's been behaving

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<v Speaker 3>on his social media platform, and we want to be

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<v Speaker 3>bringing in Craig Trudell now on the fact that actually

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<v Speaker 3>what he wants to dominate the headlines today is a

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<v Speaker 3>cyber truck unveiling RNE.

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<v Speaker 8>I don't think I'll have any trouble doing that. Of course,

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<v Speaker 8>it's a pickup that made an awful lot of headlines

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<v Speaker 8>going back four years now. Right, So, this was a

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<v Speaker 8>truck that they showed very famously or infamously, I guess,

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<v Speaker 8>depending on your view through the metal ball at the

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<v Speaker 8>windows they cracked.

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<v Speaker 9>You know.

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<v Speaker 2>I think a lot of people.

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<v Speaker 8>Who were in the room sort of gasp when this

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<v Speaker 8>truck was first shown and you know, some weren't really

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<v Speaker 8>sure how serious it was.

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<v Speaker 2>It's dead serious.

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<v Speaker 8>It's finally ready for deliveries a couple of years late.

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<v Speaker 8>But it's no question that this one's sort of a

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<v Speaker 8>head turner and you know, sort of as polemic a

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<v Speaker 8>vehicle as they come, you.

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<v Speaker 4>Know, Craig, the pickup category, be it electric, hall combustion engine,

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<v Speaker 4>is just sacred in North America. And you know, donah

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<v Speaker 4>Hole has written really smartly about how Musk has been

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<v Speaker 4>signposting for like years that this is really ambitious, is

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<v Speaker 4>not going to be easy to build.

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<v Speaker 8>Yeah, and I think she did a great story this week,

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<v Speaker 8>you know, really drawing parallels between you know, this is

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<v Speaker 8>their first pick up. They had a first suv years ago,

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<v Speaker 8>the Model X. That there's a lot of similarities in

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<v Speaker 8>the way Musk has talked about these two, you know,

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<v Speaker 8>with the Model X, you know, he talked about, you know,

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<v Speaker 8>regretting the fact that they sort of overloaded it with technology,

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<v Speaker 8>and then he's gone on to say that he's overloaded

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<v Speaker 8>the cyber truck with an awful lot of technology. So

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<v Speaker 8>there's a lot of ways that this, you know, manufacturing

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<v Speaker 8>this pickup could go sideways. I think he's really sort

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<v Speaker 8>of you know, gone out of his way to bring

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<v Speaker 8>expectations down in terms of how quickly they'll be able

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<v Speaker 8>to scale this up, when they'll be able to do

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<v Speaker 8>so in a way that's not you know, burning through

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<v Speaker 8>lots of cash, and so, you know, I think, you know,

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<v Speaker 8>we may be surprised. There are some people who, you know,

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<v Speaker 8>think that this thing is kind of hideous and and

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<v Speaker 8>a bit of a monstrosity. There are some who think

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<v Speaker 8>it's really really cool. I think, you know, there's probably

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<v Speaker 8>going to be no trouble here with demand. For me,

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<v Speaker 8>the question is how the heck are they going to

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<v Speaker 8>scale this thing up and overcome the various manufacturing challenges

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<v Speaker 8>that he's flagged going into this.

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<v Speaker 5>Craig, we thank you. Bliombo's craigtured all On.

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<v Speaker 4>Sam Altman is officially reinstated as CEO of open Ai,

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<v Speaker 4>and it has a new initial board of directors, with

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<v Speaker 4>Microsoft now joining as a non voting observer. All of

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<v Speaker 4>this happening one year to the day after chat GPT

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<v Speaker 4>was released and made it accessible to the public. Let's

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<v Speaker 4>bring in Bloombo's Rachel Metz. Lots of news out overnight,

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<v Speaker 4>and you had an interview with Sam Altman.

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<v Speaker 10>He did, Yeah, there's a lot going on at OPENINGI

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<v Speaker 10>A lot of it is rubber stamping in a sense

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<v Speaker 10>of things that we had already learned that Sam Altman

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<v Speaker 10>is now officially back at the company as a CEO,

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<v Speaker 10>and and Greg Brackman, who had been president, is also

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<v Speaker 10>back at the company. Miramrati, who was very very briefly

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<v Speaker 10>interim CEO, is now back as a chief Technology officer,

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<v Speaker 10>and a bunch of other things that you just recount.

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<v Speaker 5>I'm a whole bunch of other things.

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<v Speaker 3>I mean, notably, Microsoft comes on as a non voting observer.

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<v Speaker 3>Still a lack of diversity at the interim board level

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<v Speaker 3>as we can currently see, but I'm interested that they

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<v Speaker 3>are saying is certainly Brett Taylor was writing alongside some

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<v Speaker 3>Mountman in a post that look, prepare yourself. We are

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<v Speaker 3>going to be diverse, and we're also going to look

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<v Speaker 3>into why any of this upheaval happen to begin with.

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<v Speaker 10>Yes, absolutely so on the first point, diversity and just

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<v Speaker 10>enlarging the board. When I spoke to Sam yesterday, and

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<v Speaker 10>also I got to speak briefly to Larry Summers, who's

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<v Speaker 10>one of the new board members. They both said that

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<v Speaker 10>they're planning to enlarge the board significantly. Wouldn't give a

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<v Speaker 10>number on how many people will be in it eventually,

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<v Speaker 10>but they're definitely planning to add people. Or as to

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<v Speaker 10>the other point that you were making, now I'm blinking

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<v Speaker 10>on what that was.

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<v Speaker 5>Go back now.

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<v Speaker 3>I mean, it's so what you have covered and the

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<v Speaker 3>amount that you have covered over the last few days,

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<v Speaker 3>no wonder you're going to be blanking. But really, Larry

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<v Speaker 3>Summer's coming on board, many feeling is sort of like

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<v Speaker 3>the experienced board director and himself thinking about the way

0:11:23.240 --> 0:11:26.560
<v Speaker 3>in which this board can be expanded and thought upon.

0:11:26.600 --> 0:11:28.079
<v Speaker 3>And he says, like, give us a minute. We've only

0:11:28.080 --> 0:11:29.960
<v Speaker 3>been in the board of interim board for about half

0:11:30.000 --> 0:11:31.600
<v Speaker 3>an hour. I think, what's the coak that he gave you.

0:11:31.679 --> 0:11:33.600
<v Speaker 3>Rachel Metz, we thank you so much for your time

0:11:33.640 --> 0:11:37.240
<v Speaker 3>and of course continued conversation that she manages to have

0:11:37.280 --> 0:11:40.360
<v Speaker 3>with these key executives. Let's get another key angle from Sarahkrat's,

0:11:40.440 --> 0:11:43.080
<v Speaker 3>Professor of Government and director of Tech Policy Institute over

0:11:43.120 --> 0:11:46.079
<v Speaker 3>at Cornell University. And Sarah, you yourself were you were

0:11:46.200 --> 0:11:49.640
<v Speaker 3>back in the day before open AI became a for

0:11:49.840 --> 0:11:55.000
<v Speaker 3>profit business. You were helping alongside early open ai employees

0:11:55.240 --> 0:11:59.400
<v Speaker 3>co author research documents, thinking about ultimately how generative AI

0:11:59.480 --> 0:12:03.320
<v Speaker 3>can work in hand and be good for humanity. How

0:12:03.360 --> 0:12:08.040
<v Speaker 3>has the era of chatchpt fast forward in what you

0:12:08.080 --> 0:12:10.079
<v Speaker 3>thought was achievable in artificial intelligence?

0:12:11.440 --> 0:12:14.440
<v Speaker 11>Right? No, So, I started working with OpenAI back in

0:12:14.480 --> 0:12:17.800
<v Speaker 11>twenty eighteen when it was still the nonprofit, and then

0:12:17.840 --> 0:12:21.520
<v Speaker 11>in twenty nineteen it became the for profit. I've but

0:12:21.920 --> 0:12:25.160
<v Speaker 11>I think as the company it's really almost only a

0:12:25.280 --> 0:12:29.160
<v Speaker 11>year old because it was so formative in that time.

0:12:29.200 --> 0:12:32.760
<v Speaker 11>Between twenty fifteen and twenty twenty two, most people hadn't

0:12:32.800 --> 0:12:35.920
<v Speaker 11>heard of it. We were writing and researching, and then

0:12:36.000 --> 0:12:40.640
<v Speaker 11>in twenty twenty two, chat gpt became this consumer facing

0:12:40.960 --> 0:12:44.840
<v Speaker 11>platform that was so easy to use, so user friendly,

0:12:44.960 --> 0:12:47.679
<v Speaker 11>and it just took off the fast setting records for

0:12:47.760 --> 0:12:50.400
<v Speaker 11>its uptake one hundred million users within the first two

0:12:50.400 --> 0:12:53.760
<v Speaker 11>months and now one hundred million users per week, which

0:12:53.800 --> 0:12:54.800
<v Speaker 11>is really astonishing.

0:12:55.920 --> 0:12:57.880
<v Speaker 4>It's incredible to track how far we've come in the

0:12:57.920 --> 0:12:59.920
<v Speaker 4>space of the year. But much of the last two

0:13:00.320 --> 0:13:03.480
<v Speaker 4>events put the spotlight on what's to come next, the

0:13:03.520 --> 0:13:07.000
<v Speaker 4>next generation of large language model on the board issue

0:13:07.000 --> 0:13:09.920
<v Speaker 4>this is what Brett Taylor, whose interim chair of Open

0:13:09.920 --> 0:13:13.640
<v Speaker 4>Aiyes Board, said, we will build a qualified, diverse board

0:13:13.720 --> 0:13:18.760
<v Speaker 4>of exceptional individuals reflecting open ais message from technology to policy.

0:13:18.800 --> 0:13:22.040
<v Speaker 4>That last bit, technology to policy. Why is the makeup

0:13:22.080 --> 0:13:26.640
<v Speaker 4>of Open Aiyes Board important to their success in developing

0:13:26.679 --> 0:13:27.439
<v Speaker 4>the technology?

0:13:28.840 --> 0:13:31.679
<v Speaker 11>Yeah. I think what we saw in those two weeks,

0:13:31.679 --> 0:13:33.559
<v Speaker 11>in these last two weeks was just that kind of

0:13:33.679 --> 0:13:36.400
<v Speaker 11>tug of war on was between the two visions of

0:13:36.640 --> 0:13:39.480
<v Speaker 11>what AI should look like. And there have been a

0:13:39.480 --> 0:13:41.600
<v Speaker 11>lot of discussions about how much of that was just

0:13:41.679 --> 0:13:44.319
<v Speaker 11>kind of a myth and outsiders reading things that weren't there.

0:13:44.360 --> 0:13:46.480
<v Speaker 11>But it does seem like there are these two real

0:13:46.520 --> 0:13:50.080
<v Speaker 11>philosophies about how quickly to move, and that the philosophy

0:13:50.120 --> 0:13:53.720
<v Speaker 11>about moving quickly seems to have one out. And I

0:13:53.760 --> 0:13:57.200
<v Speaker 11>think what the board should do, or its intended role,

0:13:57.440 --> 0:13:59.920
<v Speaker 11>is to be kind of a rudder in shoppy water

0:14:00.240 --> 0:14:03.160
<v Speaker 11>or what could be choppy waters. But I think where

0:14:03.200 --> 0:14:06.200
<v Speaker 11>the nonprofit board, the former board got in the way

0:14:06.520 --> 0:14:09.640
<v Speaker 11>was that its vision was so at odds or seemed

0:14:09.640 --> 0:14:12.040
<v Speaker 11>to be at odds with not just the direction Open

0:14:12.080 --> 0:14:14.640
<v Speaker 11>AI is going, but AI in general. And so I

0:14:14.640 --> 0:14:16.679
<v Speaker 11>think right now We're in a real arms race, and

0:14:16.720 --> 0:14:20.080
<v Speaker 11>the I think legitimate perspective of the Open AI people

0:14:20.080 --> 0:14:23.880
<v Speaker 11>who have stayed is that this technology is developing quickly,

0:14:24.080 --> 0:14:26.680
<v Speaker 11>whether we're on board or not, and so we might

0:14:26.720 --> 0:14:30.360
<v Speaker 11>as well be. We Open AI be leading and trying

0:14:30.400 --> 0:14:35.120
<v Speaker 11>to do it responsibly. So you know, the nonprofit or

0:14:35.120 --> 0:14:37.080
<v Speaker 11>what was the not what is the nonprofit board, but

0:14:37.120 --> 0:14:39.480
<v Speaker 11>the former board I think it wasn't that they didn't

0:14:39.520 --> 0:14:41.320
<v Speaker 11>want to develop AI, but I think they just had

0:14:41.360 --> 0:14:43.160
<v Speaker 11>different ways of doing it. So the new board will

0:14:43.160 --> 0:14:46.200
<v Speaker 11>come in and try to i think, be more compatively

0:14:46.240 --> 0:14:49.720
<v Speaker 11>aligned with that, with the direction that the company and

0:14:49.800 --> 0:14:51.680
<v Speaker 11>with the direction the AI is going.

0:14:52.280 --> 0:14:54.560
<v Speaker 3>And of course much of the hand wringing around AI

0:14:54.760 --> 0:14:57.480
<v Speaker 3>and safety has been a worry about bias. That is

0:14:57.520 --> 0:14:59.840
<v Speaker 3>why many people are saying, you need to have minor

0:15:00.320 --> 0:15:02.680
<v Speaker 3>at the table. You need to ensure that all voices

0:15:02.680 --> 0:15:06.400
<v Speaker 3>are heard. Here we re established at the interim board

0:15:06.440 --> 0:15:09.080
<v Speaker 3>as it stands, looks pretty undiverse, one of them being

0:15:09.120 --> 0:15:11.960
<v Speaker 3>Larry Summers the course, a paid contributor of Bloomberg. I'm

0:15:12.000 --> 0:15:14.920
<v Speaker 3>interested as to what you think, Sarah will be the

0:15:14.960 --> 0:15:17.000
<v Speaker 3>next situation. Will open AI be able to be as

0:15:17.040 --> 0:15:20.080
<v Speaker 3>agile going forward. Do you think after this, No, I

0:15:20.080 --> 0:15:20.520
<v Speaker 3>think there.

0:15:20.480 --> 0:15:22.760
<v Speaker 11>Has to be a real goal and I think for

0:15:22.840 --> 0:15:25.520
<v Speaker 11>them and in general, the diversity is not an end

0:15:25.520 --> 0:15:29.320
<v Speaker 11>in itself, but it does give you different perspectives. Some

0:15:29.360 --> 0:15:32.440
<v Speaker 11>of the early versions of AI really did, I think,

0:15:32.520 --> 0:15:35.520
<v Speaker 11>warrant some criticism about bias and discrimination. So I think

0:15:35.560 --> 0:15:38.040
<v Speaker 11>there is a lot of attentiveness to that. So it's

0:15:38.040 --> 0:15:41.360
<v Speaker 11>important for that board to be able to read team

0:15:41.520 --> 0:15:46.640
<v Speaker 11>different ideas and present different perspectives without being misaligned. I

0:15:46.680 --> 0:15:49.080
<v Speaker 11>know alignment is a big term in the AI world,

0:15:49.120 --> 0:15:52.240
<v Speaker 11>but just kind of contributing to a different set of

0:15:52.280 --> 0:15:55.800
<v Speaker 11>perspectives that can kind of be a force for good

0:15:56.080 --> 0:15:58.560
<v Speaker 11>while not holding back the technology.

0:15:59.560 --> 0:16:02.560
<v Speaker 4>Sarah As, Professor of Government and Director of the Technolicy

0:16:02.600 --> 0:16:04.120
<v Speaker 4>Institute at Cornell University.

0:16:04.200 --> 0:16:05.480
<v Speaker 2>Thank you so much.

0:16:05.640 --> 0:16:08.440
<v Speaker 4>This is Bloomberg Technology.

0:16:21.360 --> 0:16:24.680
<v Speaker 3>It's time to turn to the intersection of artificial intelligence

0:16:24.720 --> 0:16:28.440
<v Speaker 3>and healthcare. Phillips is exploring the technologies potential in when

0:16:28.480 --> 0:16:31.480
<v Speaker 3>of course, when it comes to wearables, imaging, hospital task automation.

0:16:31.840 --> 0:16:32.960
<v Speaker 5>We're pleased to welcome to the show.

0:16:33.040 --> 0:16:35.840
<v Speaker 3>Roy Yakovs is Phillips CEO, marking one year at the

0:16:35.840 --> 0:16:38.120
<v Speaker 3>helm of the company, a company that is now fully

0:16:38.160 --> 0:16:42.440
<v Speaker 3>focused on the medical use and healthcare applications, and AI

0:16:42.560 --> 0:16:44.480
<v Speaker 3>is a key driver in that. Just tell us how

0:16:44.520 --> 0:16:48.360
<v Speaker 3>already you're working with well the departments in some ways

0:16:48.400 --> 0:16:50.520
<v Speaker 3>of those that are looking at tracking using an or

0:16:50.680 --> 0:16:52.640
<v Speaker 3>ring or whether it be a garment watch, how are

0:16:52.680 --> 0:16:55.480
<v Speaker 3>you already working with governments and indeed consumers.

0:16:56.040 --> 0:16:59.040
<v Speaker 2>So we are in un monitoring business.

0:16:59.120 --> 0:17:02.400
<v Speaker 9>We have a wrong collaboration where we can actually include

0:17:02.440 --> 0:17:08.720
<v Speaker 9>all the data from any Apple devices or rings devices

0:17:08.720 --> 0:17:10.680
<v Speaker 9>that you're using in the house or in the home

0:17:11.600 --> 0:17:15.920
<v Speaker 9>to insert that into a patient context to understand how

0:17:15.960 --> 0:17:18.919
<v Speaker 9>that actually makes a better diagnosis or full patient picture.

0:17:19.800 --> 0:17:23.000
<v Speaker 9>Were also remotely monitoring in the home, for example, for

0:17:23.119 --> 0:17:28.880
<v Speaker 9>cardiac rhythm problems to early pick up signals that can

0:17:28.920 --> 0:17:33.320
<v Speaker 9>actually then prevent deterioration later. So bringing here to the

0:17:33.320 --> 0:17:35.840
<v Speaker 9>home is a big part of what we're doing, making

0:17:35.840 --> 0:17:39.120
<v Speaker 9>sure that actually we start the journey as early as

0:17:39.160 --> 0:17:42.000
<v Speaker 9>possible so that actually you can prevent deerioration. But then

0:17:42.000 --> 0:17:44.240
<v Speaker 9>also in the hospital we see that actually AI is

0:17:44.320 --> 0:17:47.640
<v Speaker 9>picking up very quickly. Just coming out of Chicago where

0:17:47.680 --> 0:17:50.560
<v Speaker 9>we had a very big show around how we can

0:17:50.600 --> 0:17:55.400
<v Speaker 9>improve imaging because there's a huge demand for more images.

0:17:55.440 --> 0:17:59.240
<v Speaker 9>But actually the hospital sector is really challenged to have

0:17:59.359 --> 0:18:02.560
<v Speaker 9>enough radiologist or technicians to do all the cats.

0:18:03.119 --> 0:18:04.600
<v Speaker 2>So that's where AI can come.

0:18:04.480 --> 0:18:07.000
<v Speaker 9>To the rescue to really make a productivity difference.

0:18:07.600 --> 0:18:10.399
<v Speaker 3>I think of how I use my connected wearables, and

0:18:10.440 --> 0:18:12.280
<v Speaker 3>some of that's to track my sleep. Now I want

0:18:12.320 --> 0:18:13.800
<v Speaker 3>to shift gears a little bit because there has been

0:18:13.840 --> 0:18:16.639
<v Speaker 3>a safety issue involving your dream Station two. This is

0:18:16.680 --> 0:18:20.160
<v Speaker 3>about sleep apnea and the machine there. The FDA having

0:18:20.200 --> 0:18:23.639
<v Speaker 3>a certain reports of overheating, worrying about fire smoke burns.

0:18:24.000 --> 0:18:26.800
<v Speaker 3>There's also been other concerns around just sleep at near products.

0:18:26.800 --> 0:18:29.400
<v Speaker 3>How are you tackling that as the CEO right now?

0:18:30.200 --> 0:18:32.960
<v Speaker 9>Yeah, when I came into the office, I said, first

0:18:32.960 --> 0:18:35.400
<v Speaker 9>priority is patient safety quality, so I put a world

0:18:35.440 --> 0:18:37.919
<v Speaker 9>class team on it to work through the challenges. We

0:18:37.920 --> 0:18:40.280
<v Speaker 9>also said we need to get very proactive and identifying

0:18:40.320 --> 0:18:41.800
<v Speaker 9>what is out here so that actually we can.

0:18:41.760 --> 0:18:43.520
<v Speaker 2>Address it and put the quality on up.

0:18:43.960 --> 0:18:46.600
<v Speaker 9>So it's about how we identify and then make sure

0:18:46.640 --> 0:18:50.840
<v Speaker 9>that we across the company provide the best quality care

0:18:50.960 --> 0:18:53.399
<v Speaker 9>and make sure that in the daily practices when we

0:18:53.480 --> 0:18:55.679
<v Speaker 9>work with customers and in the context that they have,

0:18:55.960 --> 0:18:58.240
<v Speaker 9>we can make sure that actually they can rely on

0:18:58.240 --> 0:19:01.440
<v Speaker 9>our products, so that's something we have doing in our strategy.

0:19:01.440 --> 0:19:03.720
<v Speaker 9>You also have seen that from the recent quarters we

0:19:03.760 --> 0:19:06.080
<v Speaker 9>have been seeing quite an uptake in the performance of

0:19:06.119 --> 0:19:07.480
<v Speaker 9>the company because we have.

0:19:07.440 --> 0:19:10.280
<v Speaker 2>Been able to start growing again. Now we have four

0:19:10.359 --> 0:19:13.639
<v Speaker 2>quarters of growth. We have up the guidance twice.

0:19:13.800 --> 0:19:16.840
<v Speaker 9>But also that what's under the premise that basic safety

0:19:16.840 --> 0:19:21.280
<v Speaker 9>and quality, supply chain improvements and simplification of the organization

0:19:21.320 --> 0:19:23.680
<v Speaker 9>are really important to drive better impact for care.

0:19:25.160 --> 0:19:28.560
<v Speaker 4>Mister Jacob's good morning from San Francisco. That issue, the

0:19:28.560 --> 0:19:31.880
<v Speaker 4>most recent was on the thermal issue of your current generation,

0:19:32.040 --> 0:19:34.639
<v Speaker 4>but it's kind of brought back the discussion about the

0:19:34.680 --> 0:19:38.760
<v Speaker 4>recall of two years ago over the polyphone deterioration.

0:19:39.440 --> 0:19:40.800
<v Speaker 2>There's a large body.

0:19:40.480 --> 0:19:44.280
<v Speaker 4>Of academic work that shows a latency in the cancers

0:19:44.800 --> 0:19:49.480
<v Speaker 4>that arise from exposure to deteriorating polyphone periods of twenty

0:19:49.600 --> 0:19:53.879
<v Speaker 4>to forty years down the road. Is Phillip's conscious of

0:19:53.880 --> 0:19:55.239
<v Speaker 4>that latency.

0:19:55.880 --> 0:20:01.600
<v Speaker 9>So we have done extensive testing towards the health risk

0:20:01.840 --> 0:20:05.440
<v Speaker 9>of degradation of the p perform. We've also come forward

0:20:05.440 --> 0:20:08.480
<v Speaker 9>with our testing which actually shown that there's no peaceable

0:20:08.560 --> 0:20:11.760
<v Speaker 9>harm from the usage of our devices. So that's something

0:20:11.760 --> 0:20:14.040
<v Speaker 9>that we have done over three period with very strong

0:20:15.200 --> 0:20:18.879
<v Speaker 9>evidence created together with the best scientific bodies, external bodies

0:20:18.920 --> 0:20:22.240
<v Speaker 9>and toxicologists to make sure that actually we have no

0:20:22.400 --> 0:20:27.440
<v Speaker 9>patients patient safety home for our users. Also from there,

0:20:27.480 --> 0:20:31.200
<v Speaker 9>we have been working with the whole group of healthcare

0:20:31.200 --> 0:20:34.840
<v Speaker 9>providers that we currently are addressing to make sure that

0:20:35.080 --> 0:20:38.800
<v Speaker 9>patient safety and quality is the first priority. That actually

0:20:38.880 --> 0:20:42.200
<v Speaker 9>also transmits into how you can use AI to improve

0:20:42.320 --> 0:20:44.840
<v Speaker 9>the daily practice of AI, because if you look at

0:20:44.840 --> 0:20:47.679
<v Speaker 9>what AI can do, actually can help you read and

0:20:47.800 --> 0:20:51.400
<v Speaker 9>interpret images in a more accurate fashion. Can also make

0:20:51.400 --> 0:20:54.639
<v Speaker 9>sure that the radiologists that are reading from home nowadays

0:20:54.640 --> 0:20:57.320
<v Speaker 9>seventy percent is reading from home, can get access to

0:20:57.359 --> 0:20:59.800
<v Speaker 9>the images and then make sure that they have the

0:21:00.040 --> 0:21:06.400
<v Speaker 9>propriate interpretation support with AI before and after their week miss.

0:21:06.400 --> 0:21:10.080
<v Speaker 4>The actives set aside one point one billion for remediation

0:21:10.200 --> 0:21:13.000
<v Speaker 4>and half a billion for law suits. Is that sufficient

0:21:13.119 --> 0:21:14.000
<v Speaker 4>or we have to add to that.

0:21:15.280 --> 0:21:17.760
<v Speaker 9>So we have been dealing with it. We call we

0:21:17.800 --> 0:21:20.760
<v Speaker 9>made great progress. We actually have now we mediated the

0:21:20.800 --> 0:21:23.880
<v Speaker 9>sleep patients and actually we are getting back into providing

0:21:23.920 --> 0:21:27.400
<v Speaker 9>sleep products outside of the US to our patients. So

0:21:27.400 --> 0:21:30.400
<v Speaker 9>we have provided for that that actually is also been

0:21:30.440 --> 0:21:34.320
<v Speaker 9>sufficient to date. We took economic loss provision early this

0:21:34.440 --> 0:21:37.560
<v Speaker 9>year that actually also will be evactuated next year. And

0:21:37.600 --> 0:21:39.760
<v Speaker 9>then if you look to how we are getting the

0:21:39.800 --> 0:21:42.119
<v Speaker 9>rest of Phillips to where it needs to be. We

0:21:42.200 --> 0:21:47.120
<v Speaker 9>have been making significant progress with the profitability that went up.

0:21:47.560 --> 0:21:50.560
<v Speaker 9>We have guided or increased our guidance now twice for

0:21:50.640 --> 0:21:53.480
<v Speaker 9>this year. We're heading towards six or seven percent growth

0:21:53.520 --> 0:21:56.520
<v Speaker 9>rate this year, both from health as well as from

0:21:56.640 --> 0:21:59.480
<v Speaker 9>the consumer health side. So we actually getting the company

0:21:59.560 --> 0:22:02.639
<v Speaker 9>back in to a growth and contributing level. And we

0:22:02.680 --> 0:22:04.840
<v Speaker 9>do that on the back of our innovations that have

0:22:04.920 --> 0:22:08.440
<v Speaker 9>real meaningful impact in the healthcare challenges of today where

0:22:08.480 --> 0:22:11.160
<v Speaker 9>they have a massive productivity gap that they need to address,

0:22:11.359 --> 0:22:14.280
<v Speaker 9>where our technology ANAI comes to the rescue.

0:22:14.520 --> 0:22:17.919
<v Speaker 3>Roy Jakobs, Solips CEO. Should we have more time? This

0:22:18.040 --> 0:22:19.119
<v Speaker 3>is Bloomberg Technology.

0:22:29.400 --> 0:22:32.840
<v Speaker 4>Welcome back to Bloomberg Technology. Ed Ludlow here in San Francisco,

0:22:33.000 --> 0:22:33.879
<v Speaker 4>cal and hired in New York.

0:22:33.960 --> 0:22:35.880
<v Speaker 3>Let's get a check on these markets, because halfway through

0:22:35.880 --> 0:22:36.880
<v Speaker 3>this training day, look.

0:22:37.040 --> 0:22:38.080
<v Speaker 5>A little bit of profit taking.

0:22:38.119 --> 0:22:40.040
<v Speaker 3>Maybe after we come off a stellar month and as

0:22:40.080 --> 0:22:42.440
<v Speaker 3>back had its best month since January, we're up about

0:22:42.480 --> 0:22:44.080
<v Speaker 3>ten percent. We pull back a little bit, but not

0:22:44.160 --> 0:22:45.800
<v Speaker 3>quite a percentage point, and then as that one hundred

0:22:45.840 --> 0:22:48.000
<v Speaker 3>off by nine ten seven percent, we're seeing the bond

0:22:48.000 --> 0:22:50.440
<v Speaker 3>market seeing significant action on the day at seven basis points.

0:22:50.440 --> 0:22:52.200
<v Speaker 5>But remember how far how fast.

0:22:51.920 --> 0:22:54.560
<v Speaker 3>We've come, basically the best month for the bond market

0:22:54.600 --> 0:22:56.679
<v Speaker 3>since the nineteen eighties. And therefore you're seeing this sort

0:22:56.720 --> 0:22:59.480
<v Speaker 3>of everything rally, risk assets pushing higher as everyone anticipates

0:22:59.520 --> 0:23:02.400
<v Speaker 3>a federal's that just cools down on its rate hiking path,

0:23:02.440 --> 0:23:04.639
<v Speaker 3>indeed starts cutting as soon as May. We're looking at

0:23:04.680 --> 0:23:06.480
<v Speaker 3>what's happening in the risk asset of choice in the

0:23:06.480 --> 0:23:08.800
<v Speaker 3>technology market, which is bitcoin. It's currently off by just

0:23:08.840 --> 0:23:10.520
<v Speaker 3>about a tenth of a percent as the dollar just

0:23:10.760 --> 0:23:12.480
<v Speaker 3>kicks up a little bit. Remember it's been a story

0:23:12.520 --> 0:23:14.959
<v Speaker 3>of dollar weakness on the month of November two. Move on,

0:23:15.040 --> 0:23:16.880
<v Speaker 3>look at some of the individual names that we're looking

0:23:16.920 --> 0:23:18.560
<v Speaker 3>at on the day, and look at shine a light

0:23:18.600 --> 0:23:20.840
<v Speaker 3>on some of the key movers like PDD what now

0:23:21.280 --> 0:23:24.520
<v Speaker 3>eight year old startup from China now worth more from

0:23:24.520 --> 0:23:28.119
<v Speaker 3>a market cap position versus Ali Baba more than one

0:23:28.160 --> 0:23:30.280
<v Speaker 3>hundred and eighty eight billion dollars. IT eclipses IT were

0:23:30.320 --> 0:23:32.359
<v Speaker 3>up three percent on the trading day. I'm looking at

0:23:32.359 --> 0:23:34.520
<v Speaker 3>what's happening also in terms of some numbers. Synopsis have

0:23:34.600 --> 0:23:37.320
<v Speaker 3>actually been doing well before the market opened. They then

0:23:37.400 --> 0:23:40.399
<v Speaker 3>pull back, even though they're managing to postgit gains. Remember,

0:23:40.440 --> 0:23:44.840
<v Speaker 3>this is all about electronic automatic this is about design, automation, design,

0:23:44.880 --> 0:23:47.119
<v Speaker 3>and particularly around the world of chips, they might be

0:23:47.160 --> 0:23:49.560
<v Speaker 3>selling off some parts of the business. So we're looking

0:23:49.560 --> 0:23:51.960
<v Speaker 3>at a currently a pullback of about three percent for

0:23:52.000 --> 0:23:54.280
<v Speaker 3>that particular business. And lastly, I'm looking what's happening with

0:23:54.359 --> 0:23:57.000
<v Speaker 3>in video, because we're all thinking about artificial intelligence and

0:23:57.040 --> 0:24:00.000
<v Speaker 3>chips and more generally, and it seems as though actually

0:24:00.000 --> 0:24:01.560
<v Speaker 3>a lot of these chip related names in the world

0:24:01.560 --> 0:24:03.800
<v Speaker 3>of artificial intelligence said I'm just offer a little bit

0:24:03.800 --> 0:24:06.360
<v Speaker 3>in video pulling back by some three percent as well.

0:24:06.560 --> 0:24:09.119
<v Speaker 4>Over g those are the public market moves. There are

0:24:09.119 --> 0:24:12.199
<v Speaker 4>big moves in private markets. Big Series A together AI

0:24:12.400 --> 0:24:16.080
<v Speaker 4>research driven AI company working for more open source models

0:24:16.080 --> 0:24:18.680
<v Speaker 4>and data sets, just raised one hundred and two point

0:24:18.680 --> 0:24:21.600
<v Speaker 4>five million dollars in a Series A round led by

0:24:21.640 --> 0:24:25.359
<v Speaker 4>Klina Perkins. Other investors who've participated in the round, including Nvidia,

0:24:25.600 --> 0:24:28.160
<v Speaker 4>Luxe Capital, Greycroft, and a few others you can see

0:24:28.160 --> 0:24:31.080
<v Speaker 4>there on your screen. Clina Perkins partner Bucky Moore and

0:24:31.160 --> 0:24:34.560
<v Speaker 4>Vple Bedpra Cash, CEO and co founder together Ai, both

0:24:34.560 --> 0:24:37.960
<v Speaker 4>here with us in San Francisco. You want to offer

0:24:38.000 --> 0:24:40.920
<v Speaker 4>a place where you can take a custom model, an

0:24:40.960 --> 0:24:44.480
<v Speaker 4>open source model and build it affordably. I think Bedrock

0:24:44.560 --> 0:24:47.560
<v Speaker 4>aws because of this week and what's been in the newsflow.

0:24:48.240 --> 0:24:49.400
<v Speaker 2>What are you trying to build?

0:24:50.240 --> 0:24:53.359
<v Speaker 1>First? Thank you so much for having us here together.

0:24:53.520 --> 0:24:55.760
<v Speaker 1>We believe open source is a big part of the

0:24:56.040 --> 0:24:59.560
<v Speaker 1>ICs future. So what we've built is a very optimized

0:25:00.040 --> 0:25:04.240
<v Speaker 1>out platform for buildings some data AI applications on open

0:25:04.320 --> 0:25:07.959
<v Speaker 1>and custom models. You know, we provide APIs where if

0:25:08.000 --> 0:25:10.200
<v Speaker 1>we have hundreds of models to feed packaged the user's

0:25:10.200 --> 0:25:12.600
<v Speaker 1>going to use, and we provide for best in class

0:25:12.680 --> 0:25:16.679
<v Speaker 1>tools to allow companies to build their models from scratch

0:25:16.840 --> 0:25:18.840
<v Speaker 1>or take an open model and bap them with find

0:25:18.880 --> 0:25:20.000
<v Speaker 1>doing for their purposes.

0:25:20.480 --> 0:25:23.560
<v Speaker 4>Bucky, it's a big check, a few checks for a

0:25:23.600 --> 0:25:26.480
<v Speaker 4>series A. You know this space better than many you're

0:25:26.480 --> 0:25:29.359
<v Speaker 4>taking on the hyper scalas and you're trying to offer

0:25:29.400 --> 0:25:33.040
<v Speaker 4>something at a better price than they are. But you're

0:25:33.080 --> 0:25:35.520
<v Speaker 4>confident that this gather AI can do that.

0:25:36.680 --> 0:25:38.639
<v Speaker 12>So you've been covering this space for a reason. This

0:25:38.760 --> 0:25:41.119
<v Speaker 12>is a fundamentally new form of computing that is going

0:25:41.160 --> 0:25:43.600
<v Speaker 12>to be as disruptive as internet and mobile and with

0:25:43.680 --> 0:25:47.639
<v Speaker 12>respect it together like an OS basically absolutely and with

0:25:47.720 --> 0:25:50.080
<v Speaker 12>respect it together. What we're seeing as enterprises are now

0:25:50.119 --> 0:25:52.080
<v Speaker 12>leaning in and wanting to build on these open source

0:25:52.119 --> 0:25:54.359
<v Speaker 12>and custom models, and to do that, they're going to

0:25:54.359 --> 0:25:56.600
<v Speaker 12>need a platform upon which these models can run, and

0:25:56.640 --> 0:25:58.000
<v Speaker 12>we think Together's that platform.

0:25:58.760 --> 0:26:04.480
<v Speaker 3>I'm interested from your perspective, what we like to categorize

0:26:04.480 --> 0:26:07.760
<v Speaker 3>perhaps in the media is this tension between open source

0:26:08.240 --> 0:26:11.440
<v Speaker 3>and closed models. And I mean, the open source movement

0:26:11.480 --> 0:26:14.000
<v Speaker 3>is as old as software itself Forbell, but I am

0:26:14.080 --> 0:26:16.840
<v Speaker 3>interested in the perhaps car crash of a story that

0:26:16.880 --> 0:26:19.040
<v Speaker 3>we had a couple of weeks ago around open AI.

0:26:19.160 --> 0:26:23.159
<v Speaker 3>Suddenly corporates are thinking about business continuity, about ensuring that

0:26:23.200 --> 0:26:25.760
<v Speaker 3>perhaps they're not dependent on one particular LL and provider.

0:26:26.119 --> 0:26:28.919
<v Speaker 3>Has that changed in the conversations you're having.

0:26:28.640 --> 0:26:34.080
<v Speaker 1>With corporates, I would say it certainly illustrates the need

0:26:34.160 --> 0:26:38.440
<v Speaker 1>for a choice. You know, companies that are building the

0:26:38.600 --> 0:26:42.000
<v Speaker 1>strategies around and radio AI want control of their models.

0:26:42.000 --> 0:26:45.399
<v Speaker 1>They want to own the output of their efforts, and

0:26:45.760 --> 0:26:46.840
<v Speaker 1>open source is.

0:26:48.400 --> 0:26:49.560
<v Speaker 2>It's a great way of doing that.

0:26:51.160 --> 0:26:56.480
<v Speaker 3>Okay, from your perspective, can be more resource intentive though,

0:26:56.880 --> 0:26:59.600
<v Speaker 3>to sort of manage your open source code in some way.

0:26:59.640 --> 0:27:03.320
<v Speaker 3>And I'm interested in how companies are really going to

0:27:03.400 --> 0:27:05.840
<v Speaker 3>end up aligning when it comes to their own proprietary

0:27:05.960 --> 0:27:08.520
<v Speaker 3>data and building on these open source models.

0:27:09.920 --> 0:27:12.600
<v Speaker 12>So, first of all, open source AI is really history

0:27:12.640 --> 0:27:15.840
<v Speaker 12>repeating itself. Business has been leveraging open source in the

0:27:15.840 --> 0:27:18.479
<v Speaker 12>form of databases and other core underpaintings of how they

0:27:18.480 --> 0:27:21.440
<v Speaker 12>develop their software for decades. So again, this is history

0:27:21.440 --> 0:27:23.960
<v Speaker 12>repeating itself. And in that sense, yes, there is some

0:27:24.080 --> 0:27:26.199
<v Speaker 12>operational burden that a company has to take on to

0:27:26.320 --> 0:27:29.119
<v Speaker 12>leverage open source relative to a managed service, but this

0:27:29.160 --> 0:27:31.600
<v Speaker 12>is precisely where Together's technology comes in. They want to

0:27:31.640 --> 0:27:33.520
<v Speaker 12>make that piece easy and take it off the hands

0:27:33.520 --> 0:27:35.880
<v Speaker 12>of enterprises so they can realize all those benefits without

0:27:35.880 --> 0:27:36.840
<v Speaker 12>the operational burden.

0:27:37.200 --> 0:27:41.439
<v Speaker 4>Vivo, You've got Nvideo as an investor, fantastic, but have

0:27:41.480 --> 0:27:43.280
<v Speaker 4>you got them as a technology partners? You have a

0:27:43.320 --> 0:27:45.560
<v Speaker 4>big old bag of h one hundreds that you can

0:27:45.600 --> 0:27:47.000
<v Speaker 4>sling over the shoulder.

0:27:46.680 --> 0:27:48.080
<v Speaker 2>And call it a day.

0:27:48.280 --> 0:27:51.439
<v Speaker 1>Everyone wants that, right, you know, the other technology partner

0:27:51.520 --> 0:27:54.919
<v Speaker 1>and Ridia is really a leading company the space. I

0:27:54.920 --> 0:27:59.359
<v Speaker 1>would say they have the platform today for AI everywhere.

0:27:59.400 --> 0:28:00.720
<v Speaker 2>Well, what are there er options to you?

0:28:00.800 --> 0:28:03.439
<v Speaker 4>I mean, I guess considering what you're trying to build

0:28:03.600 --> 0:28:08.520
<v Speaker 4>right the whole business offering from you, were there any

0:28:08.560 --> 0:28:11.560
<v Speaker 4>alternatives other than Nvidia to get the compute needed to

0:28:11.560 --> 0:28:12.560
<v Speaker 4>build a platform like that?

0:28:13.080 --> 0:28:13.320
<v Speaker 2>To day?

0:28:15.119 --> 0:28:17.960
<v Speaker 1>We get a lot about price performance. So the services

0:28:17.960 --> 0:28:21.480
<v Speaker 1>we provide for our infant service are six times cheaper

0:28:21.520 --> 0:28:24.560
<v Speaker 1>than Opening Eyes, our training services are four times cheaper

0:28:24.560 --> 0:28:26.600
<v Speaker 1>than AWS, and we're able to do.

0:28:26.640 --> 0:28:30.560
<v Speaker 4>More times cheaper than AWS. Can you absolutely guarantee.

0:28:30.000 --> 0:28:33.879
<v Speaker 1>That, absolutely guarantee that yes. And this is both a

0:28:33.960 --> 0:28:38.480
<v Speaker 1>combination of our hardware stack as well as the software

0:28:38.520 --> 0:28:42.280
<v Speaker 1>that we have both on it make training and infence more.

0:28:42.120 --> 0:28:43.920
<v Speaker 5>Efficient, Buckie.

0:28:44.640 --> 0:28:48.800
<v Speaker 3>There has been much said about the hype dare we

0:28:48.880 --> 0:28:49.239
<v Speaker 3>call it?

0:28:49.360 --> 0:28:53.640
<v Speaker 5>Around artificial intelligence? What draws you to a team like People's.

0:28:53.800 --> 0:28:54.560
<v Speaker 5>Is it talent?

0:28:54.720 --> 0:28:56.720
<v Speaker 3>Is it what they've already been putting out there in

0:28:56.800 --> 0:29:00.040
<v Speaker 3>terms of innovation? Isn't how they look there to be

0:29:00.200 --> 0:29:02.440
<v Speaker 3>using a very large check that you've all managed to

0:29:02.440 --> 0:29:02.920
<v Speaker 3>put together.

0:29:04.480 --> 0:29:06.440
<v Speaker 12>So Caroline, when we've thought through what it takes to

0:29:06.560 --> 0:29:10.120
<v Speaker 12>emerge as the leading provider of platform infrastructure for all

0:29:10.120 --> 0:29:12.320
<v Speaker 12>of these businesses who we believe will be leaning in

0:29:12.400 --> 0:29:15.160
<v Speaker 12>on open source and custom models, we really think it

0:29:15.200 --> 0:29:18.800
<v Speaker 12>requires this unique combination of systems engineering and research talent,

0:29:18.840 --> 0:29:20.360
<v Speaker 12>and both of those have to come together in a

0:29:20.400 --> 0:29:23.160
<v Speaker 12>world class way to really build that market leading product.

0:29:23.400 --> 0:29:25.280
<v Speaker 12>And together is the first company we've seen that really

0:29:25.280 --> 0:29:27.520
<v Speaker 12>brings that to the marketplace in that manner, and that's

0:29:27.520 --> 0:29:28.880
<v Speaker 12>why we're so proud to be their partner.

0:29:29.720 --> 0:29:34.440
<v Speaker 3>Fiple the money, what will be allocated towards talent? How

0:29:34.480 --> 0:29:36.640
<v Speaker 3>expensive is talent at the moment and is it all

0:29:36.680 --> 0:29:40.360
<v Speaker 3>being brought together to bear where you sit now over

0:29:40.400 --> 0:29:42.640
<v Speaker 3>on the West coast or are you're looking more geographically?

0:29:44.840 --> 0:29:45.040
<v Speaker 11>You know?

0:29:45.160 --> 0:29:49.000
<v Speaker 1>The capital one we are going to do deep investments

0:29:49.040 --> 0:29:49.720
<v Speaker 1>and product.

0:29:51.680 --> 0:29:52.880
<v Speaker 2>You know what as.

0:29:52.920 --> 0:29:56.480
<v Speaker 1>Keeper is saying, we have a very deep research effort.

0:29:56.560 --> 0:30:01.160
<v Speaker 1>We have a research company. We invest a lot, you know,

0:30:01.360 --> 0:30:06.040
<v Speaker 1>corea research to build better models, build better model architectures,

0:30:06.120 --> 0:30:10.280
<v Speaker 1>build better data sets, and a little better platform. So

0:30:10.360 --> 0:30:13.000
<v Speaker 1>that will be a known investment. And yes, I think

0:30:13.120 --> 0:30:15.000
<v Speaker 1>the talent.

0:30:14.760 --> 0:30:21.000
<v Speaker 2>Market is you know, very tight today. But we have

0:30:22.320 --> 0:30:22.760
<v Speaker 2>some of.

0:30:22.640 --> 0:30:25.959
<v Speaker 1>The sort of leading researchers in the space are our

0:30:26.040 --> 0:30:28.720
<v Speaker 1>co founders and part of the company and that really

0:30:29.040 --> 0:30:32.560
<v Speaker 1>helps bring together the research community and have them attached

0:30:32.560 --> 0:30:33.120
<v Speaker 1>to the company.

0:30:33.360 --> 0:30:36.640
<v Speaker 4>But you always find interesting is the rationale of making

0:30:36.680 --> 0:30:38.600
<v Speaker 4>investment based on what's put in front of you right

0:30:38.680 --> 0:30:41.880
<v Speaker 4>with the greatest respects together. AI is not a massive company.

0:30:42.520 --> 0:30:44.800
<v Speaker 4>How much weight do you put on the individuals they have?

0:30:44.840 --> 0:30:48.800
<v Speaker 4>From a talent perspective, everyone's got GPUs. There are very

0:30:48.840 --> 0:30:51.720
<v Speaker 4>few data scientists or engineers that can actually make them

0:30:51.760 --> 0:30:53.280
<v Speaker 4>work from what I understand.

0:30:54.400 --> 0:30:56.520
<v Speaker 12>So look at this stage, startups are all about the

0:30:56.560 --> 0:30:58.680
<v Speaker 12>people behind them, and this is a world class team.

0:30:58.680 --> 0:31:01.040
<v Speaker 12>As I said, that brings together this unique combination of

0:31:01.080 --> 0:31:03.800
<v Speaker 12>systems engineering and research talent that we think is the

0:31:03.800 --> 0:31:05.920
<v Speaker 12>most potent combination to go and build a market leading

0:31:05.920 --> 0:31:07.920
<v Speaker 12>company in this space. And that's what we're excited about here.

0:31:08.000 --> 0:31:09.440
<v Speaker 2>I just asked you both very quickly.

0:31:09.800 --> 0:31:12.680
<v Speaker 4>It is one year to the date day since chatjept

0:31:13.160 --> 0:31:16.240
<v Speaker 4>was released. For Paul, how has the last twelve months

0:31:16.360 --> 0:31:19.240
<v Speaker 4>changed or accelerated what you've tried to do in AI?

0:31:19.560 --> 0:31:22.240
<v Speaker 1>I think it has act beautiful a moment that made

0:31:22.240 --> 0:31:25.360
<v Speaker 1>it very clear with a power of foundation models and

0:31:25.400 --> 0:31:29.440
<v Speaker 1>their applicability, and that's really sort of you know, created

0:31:29.560 --> 0:31:34.600
<v Speaker 1>a huge market around and interest in large and rated models.

0:31:36.000 --> 0:31:37.520
<v Speaker 5>Fascinating from both of you.

0:31:37.920 --> 0:31:40.160
<v Speaker 3>Always bucking more with your seeing around corners when it

0:31:40.160 --> 0:31:42.440
<v Speaker 3>comes to infrastructure in the future thereof particularly when it

0:31:42.440 --> 0:31:44.360
<v Speaker 3>comes to the world of AI. We thank you Kleine

0:31:44.440 --> 0:31:48.040
<v Speaker 3>Perkins partner there and vivill Read Pracash of course CEO

0:31:48.080 --> 0:31:51.320
<v Speaker 3>and co found together AI with that one hundred point

0:31:51.360 --> 0:31:54.560
<v Speaker 3>to five million Series A. Meanwhile, coming up, let's talk

0:31:54.600 --> 0:31:57.200
<v Speaker 3>about the social media and well got to think about

0:31:57.240 --> 0:32:00.560
<v Speaker 3>how it implicates child safety online. We're going to be

0:32:00.640 --> 0:32:03.160
<v Speaker 3>talking about how tech CEOs have been called to Capitol

0:32:03.240 --> 0:32:05.880
<v Speaker 3>Hill to testify on exploitation.

0:32:05.440 --> 0:32:08.760
<v Speaker 4>At I'm taking a quick check on shares of Meta

0:32:08.960 --> 0:32:11.600
<v Speaker 4>down more than two percent. The whole market kind of

0:32:11.600 --> 0:32:14.280
<v Speaker 4>took a weird turn at some point in the session.

0:32:14.360 --> 0:32:17.400
<v Speaker 4>But the company plans to appeal a district court decision

0:32:17.440 --> 0:32:21.560
<v Speaker 4>rejecting its attempt to block the FTC from modifying a

0:32:21.600 --> 0:32:24.960
<v Speaker 4>twenty twenty settlement with the agency that required the company

0:32:25.200 --> 0:32:28.320
<v Speaker 4>to update its privacy practices. Something that's playing out in

0:32:28.360 --> 0:32:30.720
<v Speaker 4>court and drawing no cause or link, but it is

0:32:30.760 --> 0:32:36.360
<v Speaker 4>interesting to see meta under pressure. This has been Bow Technology.

0:32:50.120 --> 0:32:50.520
<v Speaker 2>All right.

0:32:50.600 --> 0:32:53.920
<v Speaker 4>Time for talking at tech. First up, move over Ali Barber.

0:32:54.160 --> 0:32:57.240
<v Speaker 4>It's lost its spot as China's most valuable e commerce

0:32:57.280 --> 0:33:00.240
<v Speaker 4>company to Pinned wod Woe, best known for its opping

0:33:00.240 --> 0:33:02.560
<v Speaker 4>apps Timu and pinned Woad wide. The eight year old

0:33:02.600 --> 0:33:05.800
<v Speaker 4>PDD has gained more traction with investors, while growth for

0:33:05.880 --> 0:33:08.760
<v Speaker 4>Jack Mars Ali Baba has softened. A big story of

0:33:08.800 --> 0:33:11.240
<v Speaker 4>the week and if you're a fan of NASCAR, you'll

0:33:11.240 --> 0:33:13.800
<v Speaker 4>now be able to stream the racing sport online. NASCAR

0:33:14.080 --> 0:33:17.080
<v Speaker 4>sign deals with Amazon and Warner Brothers Discovery to show

0:33:17.080 --> 0:33:21.000
<v Speaker 4>its races on their respective Prime Video and Max streaming platforms.

0:33:21.000 --> 0:33:25.440
<v Speaker 4>The deal reportedly valued at seven point eight billion dollars plus.

0:33:25.720 --> 0:33:28.360
<v Speaker 4>Morgan Stanley CEO James Gorman will now have a seat

0:33:28.400 --> 0:33:31.560
<v Speaker 4>on Walt Disney's board of directors. Gorman's appointment will take

0:33:31.600 --> 0:33:34.440
<v Speaker 4>effect on February fifth, twenty twenty four. The move comes

0:33:34.480 --> 0:33:38.440
<v Speaker 4>ahead of an expected proxy fight and amid reports of

0:33:38.440 --> 0:33:42.240
<v Speaker 4>interests in a board seat from billionaire Nelson Pelts. Veteran

0:33:42.280 --> 0:33:45.600
<v Speaker 4>media executive Jeremy Dearrek will also be appointed to Disney's

0:33:45.600 --> 0:33:47.560
<v Speaker 4>board effective January nine.

0:33:47.560 --> 0:33:50.080
<v Speaker 2>A former Sky CEO, carro.

0:33:50.840 --> 0:33:53.600
<v Speaker 3>Let's take a turn and talk about some of the

0:33:53.640 --> 0:33:57.120
<v Speaker 3>other executives across the technology at large right now, but

0:33:57.120 --> 0:33:59.200
<v Speaker 3>in particularly the CEO is a matter of ex a TikTok,

0:33:59.240 --> 0:34:01.800
<v Speaker 3>a snap of disc They've all just been summoned dead

0:34:01.840 --> 0:34:04.240
<v Speaker 3>by the Senate Judiciary Committee to testify at a hearing

0:34:04.280 --> 0:34:06.880
<v Speaker 3>on child sexual exploitation that's now been given the date

0:34:07.280 --> 0:34:10.880
<v Speaker 3>of January. This comes just a few weeks after Meta,

0:34:10.960 --> 0:34:13.440
<v Speaker 3>of course, was sued by California group of more than

0:34:13.520 --> 0:34:15.760
<v Speaker 3>thirty states have a claims that its social media platforms

0:34:15.800 --> 0:34:19.680
<v Speaker 3>exploit youths for profit and feed them harmful content. It's

0:34:19.680 --> 0:34:21.440
<v Speaker 3>a sensitive discussion and we're going to have it with

0:34:21.480 --> 0:34:25.560
<v Speaker 3>Camille Carton, Center of Humane Technology Senior policy manager, And

0:34:25.600 --> 0:34:27.520
<v Speaker 3>all of this comes at a time no matter where

0:34:27.520 --> 0:34:30.200
<v Speaker 3>you're seeing the lawsuits coming from, whether they're families, whether

0:34:30.200 --> 0:34:33.959
<v Speaker 3>they're coming from of course ultimately ages, whether they're coming

0:34:34.040 --> 0:34:38.400
<v Speaker 3>from a federal level, all of them are they likely

0:34:38.560 --> 0:34:42.799
<v Speaker 3>to disrupt the business models of these companies enough that

0:34:42.880 --> 0:34:46.080
<v Speaker 3>we do see greater protection in whatever guys you might

0:34:46.120 --> 0:34:48.160
<v Speaker 3>want to see it happen whether it's internally if you're

0:34:48.160 --> 0:34:51.240
<v Speaker 3>working at the company, or externally using their products.

0:34:51.280 --> 0:34:53.040
<v Speaker 13>I think what we're seeing right now is that we

0:34:53.080 --> 0:34:55.960
<v Speaker 13>are absolutely at an inflection point, which is what you

0:34:56.160 --> 0:35:01.240
<v Speaker 13>just described. Whether it's research that has been done by whistleblowers,

0:35:02.040 --> 0:35:06.760
<v Speaker 13>researchers themselves, whether it's the lawsuits from ags, from parents,

0:35:06.880 --> 0:35:11.800
<v Speaker 13>school districts, we are just seeing overwhelming kind of support

0:35:12.080 --> 0:35:15.440
<v Speaker 13>for these platforms to take on much more responsibility, for

0:35:15.520 --> 0:35:18.560
<v Speaker 13>them to be accountable to their actions, and for them

0:35:18.600 --> 0:35:21.600
<v Speaker 13>to change the way that they design their products. Right now,

0:35:21.719 --> 0:35:26.000
<v Speaker 13>these products are designed to capitalize on children's vulnerabilities, the

0:35:26.040 --> 0:35:29.680
<v Speaker 13>things that make their development different than older users, and

0:35:29.719 --> 0:35:33.160
<v Speaker 13>we know this from these disclosures, and so that's exactly

0:35:33.200 --> 0:35:35.880
<v Speaker 13>what people are looking for when they're going through with

0:35:35.960 --> 0:35:37.959
<v Speaker 13>these lawsuits and with these testimonies.

0:35:38.400 --> 0:35:40.520
<v Speaker 3>When we think of the testimonies, we think, if Judge

0:35:40.680 --> 0:35:43.080
<v Speaker 3>von Rogers has allowed them to proceed in some way,

0:35:43.360 --> 0:35:46.600
<v Speaker 3>many would say, actually, the decisions that they've made means that.

0:35:46.560 --> 0:35:48.760
<v Speaker 5>Much business model disruption won't happen.

0:35:48.800 --> 0:35:51.200
<v Speaker 3>The fact that the endless scrolling isn't going to be

0:35:51.280 --> 0:35:53.320
<v Speaker 3>something that's focused on but it will be more about

0:35:53.360 --> 0:35:56.920
<v Speaker 3>protection and ultimately oversight from parents.

0:35:57.480 --> 0:35:58.880
<v Speaker 5>Is that going to be enough? And how do you

0:35:58.920 --> 0:36:00.480
<v Speaker 5>think if you think about.

0:36:00.239 --> 0:36:02.480
<v Speaker 3>The other side, what Meta and other companies would say

0:36:02.520 --> 0:36:04.759
<v Speaker 3>is what we're building isn't wrong.

0:36:04.800 --> 0:36:06.360
<v Speaker 5>It's the way in which you mounted to use is

0:36:06.400 --> 0:36:07.640
<v Speaker 5>it that is wrong?

0:36:07.920 --> 0:36:10.920
<v Speaker 3>How can we get a better balance between the two.

0:36:11.239 --> 0:36:13.040
<v Speaker 13>So I think the most important thing is to look

0:36:13.080 --> 0:36:16.840
<v Speaker 13>at the incentives. Right These companies right now are incentivized

0:36:16.840 --> 0:36:20.200
<v Speaker 13>to design their products with profits first. But we have

0:36:20.440 --> 0:36:23.440
<v Speaker 13>tons of legislative solutions out there. We have COSA at

0:36:23.440 --> 0:36:27.080
<v Speaker 13>the federal level that has over fifty bipartisan co sponsors.

0:36:27.400 --> 0:36:29.840
<v Speaker 13>We have the Age Appropriate Design Code that's been in

0:36:29.880 --> 0:36:33.320
<v Speaker 13>place in the UK was introducing California you mentioned Judge

0:36:33.960 --> 0:36:37.520
<v Speaker 13>von Rogers. These solutions look at actually changing the way

0:36:37.640 --> 0:36:41.000
<v Speaker 13>these platforms are designed. They look at how can we

0:36:41.080 --> 0:36:44.600
<v Speaker 13>change these platforms so that kids' best interests are put

0:36:44.719 --> 0:36:49.200
<v Speaker 13>forth first. They focus on privacy, they focus on changing

0:36:49.239 --> 0:36:52.560
<v Speaker 13>features that are addictive, and they also provide a duty

0:36:52.600 --> 0:36:56.800
<v Speaker 13>of care, basically requiring platforms to prioritize the best interests

0:36:56.800 --> 0:36:59.439
<v Speaker 13>of kids over profits. And I think that's the best

0:36:59.440 --> 0:37:00.279
<v Speaker 13>way forward here.

0:37:01.800 --> 0:37:02.280
<v Speaker 2>Camille.

0:37:02.520 --> 0:37:05.880
<v Speaker 4>Your position, and it's shared by others, is that social

0:37:05.920 --> 0:37:10.400
<v Speaker 4>media platforms are deliberately designed as pieces of technology to

0:37:10.440 --> 0:37:13.200
<v Speaker 4>be addictive to children and teenagers.

0:37:13.480 --> 0:37:14.359
<v Speaker 2>Have I got that right?

0:37:14.760 --> 0:37:15.040
<v Speaker 5>Yes.

0:37:16.440 --> 0:37:19.640
<v Speaker 4>TikTok is an example, set out a policy in March.

0:37:19.719 --> 0:37:22.920
<v Speaker 4>That policy was that you have to be age thirteen

0:37:23.719 --> 0:37:26.560
<v Speaker 4>or a different age at least depending on local law

0:37:26.640 --> 0:37:31.399
<v Speaker 4>restrictions to use the platform. Aside from legislation and the

0:37:31.440 --> 0:37:36.920
<v Speaker 4>policies of companies like TikTok, what fixes would you recommend

0:37:37.480 --> 0:37:41.960
<v Speaker 4>to safeguard teens and children? What technological solutions are there?

0:37:42.480 --> 0:37:46.239
<v Speaker 13>Yeah, this is a great question, and TikTok has this

0:37:46.400 --> 0:37:50.279
<v Speaker 13>policy as well as Facebook and many other platforms. But

0:37:50.840 --> 0:37:53.719
<v Speaker 13>what we're learning from many of these disclosures related to

0:37:54.120 --> 0:37:58.520
<v Speaker 13>the Attorney's general investigation is, for instance, Meta actually knows

0:37:58.640 --> 0:38:02.600
<v Speaker 13>that they have millions of underage users. They have millions

0:38:02.640 --> 0:38:04.799
<v Speaker 13>of users under the age of thirteen, which is in

0:38:04.880 --> 0:38:06.680
<v Speaker 13>violation of that are a law that they are collecting

0:38:06.760 --> 0:38:10.280
<v Speaker 13>data on. Not only do they know this, they are

0:38:10.320 --> 0:38:13.200
<v Speaker 13>taking great lengths to make sure that the public doesn't

0:38:13.239 --> 0:38:15.840
<v Speaker 13>know that they know this, and they're studying these users,

0:38:16.160 --> 0:38:20.400
<v Speaker 13>they're capitalizing on these users. So these platforms already have

0:38:20.480 --> 0:38:23.759
<v Speaker 13>a way of knowing who is and isn't on their platform,

0:38:24.080 --> 0:38:26.160
<v Speaker 13>but they're choosing not to do anything about it, and

0:38:26.200 --> 0:38:29.480
<v Speaker 13>they're choosing not to make sure that underage users are

0:38:29.480 --> 0:38:32.000
<v Speaker 13>not accessing products that are not built for them.

0:38:33.520 --> 0:38:35.560
<v Speaker 2>In January, on January.

0:38:35.200 --> 0:38:38.799
<v Speaker 4>The thirty first, I believe a number of CEOs will

0:38:38.800 --> 0:38:43.000
<v Speaker 4>go to Capitol Hill for a Senate hearing. When executives

0:38:43.000 --> 0:38:46.000
<v Speaker 4>go before lawmakers. What is it that you hope comes

0:38:46.040 --> 0:38:48.520
<v Speaker 4>out of public hearings like that? How does it move

0:38:48.760 --> 0:38:51.200
<v Speaker 4>the agenda forward?

0:38:51.480 --> 0:38:53.759
<v Speaker 13>I think that this is a really big opportunity for

0:38:53.840 --> 0:38:58.200
<v Speaker 13>policymakers to push these executives on the fact that they

0:38:58.320 --> 0:39:00.920
<v Speaker 13>know they have users that are on their platform that

0:39:00.960 --> 0:39:02.960
<v Speaker 13>are not supposed to be the fact that we now

0:39:03.000 --> 0:39:06.680
<v Speaker 13>have evidence that they are intentionally designing products in ways

0:39:06.719 --> 0:39:10.959
<v Speaker 13>that are harmful to users. For instance, Artur Bihar, who

0:39:11.200 --> 0:39:15.759
<v Speaker 13>was the most recent metawhistleblower, shared that one in eight

0:39:16.160 --> 0:39:20.960
<v Speaker 13>young users under the age of sixteen experienced unwanted sexual advances,

0:39:21.440 --> 0:39:24.560
<v Speaker 13>and despite Meta knowing this, instead of designing a reporting

0:39:24.600 --> 0:39:28.440
<v Speaker 13>mechanism for users to be able to report this to Facebook,

0:39:30.040 --> 0:39:33.000
<v Speaker 13>sorry to Instagram, for Instagram to be able to fix

0:39:33.080 --> 0:39:36.240
<v Speaker 13>what was going on, they intentionally designed a reporting flow

0:39:36.400 --> 0:39:39.080
<v Speaker 13>that was really hard for users. It took a lot

0:39:39.080 --> 0:39:41.520
<v Speaker 13>of effort, it was really long, and they took out

0:39:41.520 --> 0:39:45.200
<v Speaker 13>all human oversight. So young users are essentially not incentivized

0:39:45.200 --> 0:39:47.680
<v Speaker 13>to report this anymore because the company doesn't do anything

0:39:47.880 --> 0:39:50.160
<v Speaker 13>and the company is no longer being flagged about these

0:39:50.160 --> 0:39:52.960
<v Speaker 13>issues that are happening. So I hope that these sessions

0:39:53.000 --> 0:39:55.319
<v Speaker 13>we can actually get to the bottom of the fact

0:39:55.320 --> 0:39:58.320
<v Speaker 13>that these companies know that some of the product designs

0:39:58.360 --> 0:40:02.200
<v Speaker 13>are harmful and that we need to end this practice.

0:40:02.920 --> 0:40:06.640
<v Speaker 3>Camilla, I'm sure we will go forth to these companies'

0:40:06.680 --> 0:40:09.480
<v Speaker 3>leadership and say as to how they have been responding,

0:40:09.520 --> 0:40:12.640
<v Speaker 3>because I'm sure they'd like to say a response to

0:40:12.719 --> 0:40:15.000
<v Speaker 3>us to all whether or not indeed they have been

0:40:15.040 --> 0:40:17.279
<v Speaker 3>trying to make it more or less difficult for these

0:40:17.320 --> 0:40:19.880
<v Speaker 3>sorts of things to be reported. But Camille Carston, we

0:40:19.920 --> 0:40:22.040
<v Speaker 3>thank you so much for your insights the Center of

0:40:22.080 --> 0:40:24.760
<v Speaker 3>Humane Technology, of course, and we'd.

0:40:24.560 --> 0:40:26.520
<v Speaker 5>Potentially like to be getting back ahead of that. January

0:40:26.520 --> 0:40:29.200
<v Speaker 5>the thirty first up on Capitol.

0:40:28.880 --> 0:40:41.439
<v Speaker 4>Hill, Robin Hood's making its international debut, launching commission free

0:40:41.560 --> 0:40:44.480
<v Speaker 4>stock trading in the UK. The firm has started rolling

0:40:44.520 --> 0:40:47.520
<v Speaker 4>out trading of more than six thousand US listed stocks

0:40:47.640 --> 0:40:51.000
<v Speaker 4>and other securities to British retail investors. CEO of vlad

0:40:51.000 --> 0:40:53.560
<v Speaker 4>Tenev spoke to Bloomberg's Tom McKenzie.

0:40:54.760 --> 0:41:00.640
<v Speaker 14>So we have products for customers that who have low

0:41:00.960 --> 0:41:03.799
<v Speaker 14>risk appetite for financial risk as well, and I think

0:41:03.800 --> 0:41:07.640
<v Speaker 14>we can serve their needs. But I think there's two

0:41:07.680 --> 0:41:10.880
<v Speaker 14>things we do exceptionally well in the US that carry

0:41:10.880 --> 0:41:15.520
<v Speaker 14>over in the UK despite any cultural differences. People in

0:41:15.560 --> 0:41:20.279
<v Speaker 14>the UK love easy to use, compelling mobile interfaces and

0:41:20.320 --> 0:41:24.680
<v Speaker 14>they love getting the best possible economics on investing in

0:41:24.760 --> 0:41:29.040
<v Speaker 14>other financial services. And I think these two things have

0:41:29.120 --> 0:41:33.120
<v Speaker 14>been the cornerstones of Robinhood product design and development. We

0:41:33.200 --> 0:41:38.680
<v Speaker 14>have really a beautiful our customers love the beautiful, almost

0:41:38.760 --> 0:41:42.719
<v Speaker 14>magical quality of the Robinhood experience, and they appreciate the

0:41:43.600 --> 0:41:46.680
<v Speaker 14>fact that they're getting industry leading economics. And when we

0:41:46.719 --> 0:41:49.400
<v Speaker 14>talk to customers in the UK, there's a lot of

0:41:49.560 --> 0:41:52.920
<v Speaker 14>enthusiasm over bringing these things to this market.

0:41:53.200 --> 0:41:55.680
<v Speaker 15>As crypto bottom do you think and is it what's

0:41:55.680 --> 0:41:58.880
<v Speaker 15>still being in the crypto space given what's happened with

0:41:58.880 --> 0:42:01.359
<v Speaker 15>the likes of Finance and an FTX, or is that

0:42:01.400 --> 0:42:04.120
<v Speaker 15>an opportunity for robin Hood to take market share.

0:42:04.640 --> 0:42:09.319
<v Speaker 14>I think in the long run, it's certainly an opportunity

0:42:09.640 --> 0:42:13.600
<v Speaker 14>and it's good for the industry to have unscrupulous actors

0:42:13.640 --> 0:42:18.000
<v Speaker 14>weeded out and kind of falling off, because I think

0:42:18.040 --> 0:42:21.320
<v Speaker 14>in order for the industry and the technology to become

0:42:22.200 --> 0:42:26.880
<v Speaker 14>truly globally accepted, there has to be a foundation of

0:42:26.920 --> 0:42:30.040
<v Speaker 14>regulatory compliance and it has to be integrated more and

0:42:30.080 --> 0:42:34.560
<v Speaker 14>more into the traditional financial system and help solve real

0:42:34.600 --> 0:42:40.080
<v Speaker 14>problems for people. So Robinhood continues to build crypto technology

0:42:40.120 --> 0:42:42.680
<v Speaker 14>and be a leader there. We've been pleased with the

0:42:42.719 --> 0:42:46.239
<v Speaker 14>growing market share we've been seeing in the US even

0:42:46.239 --> 0:42:51.279
<v Speaker 14>through the winter, and as you probably know, in the UK,

0:42:51.800 --> 0:42:56.200
<v Speaker 14>we're not launching with crypto. We're very focused on US

0:42:56.360 --> 0:42:59.920
<v Speaker 14>shares and the high interest product with no FX fees,

0:43:01.320 --> 0:43:04.560
<v Speaker 14>but we are also expanding in the EU and we

0:43:04.640 --> 0:43:07.360
<v Speaker 14>will have a crypto available in the EU in the

0:43:07.360 --> 0:43:08.160
<v Speaker 14>coming weeks.

0:43:08.520 --> 0:43:11.480
<v Speaker 5>How does it for this edition of Bloomberg Technology.

0:43:11.040 --> 0:43:15.239
<v Speaker 4>Yet Bloomberg Technology Podcast. Check it out wherever you get

0:43:15.280 --> 0:43:18.239
<v Speaker 4>your podcasts. From New York City and SF. This is

0:43:18.280 --> 0:43:19.360
<v Speaker 4>Bloomberg Technology