WEBVTT - Microsoft, Labor Unions and OpenAI

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<v Speaker 1>From Marhart where Innovation, Money and power Collie in Silicon

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<v Speaker 1>Vallet NBN.

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<v Speaker 2>This is Bloomberg Technology with Caroline Hide and Ed Lodlove.

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<v Speaker 3>I'm Caroline Heyde of Bloomberg's World headquarters in New York,

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<v Speaker 3>and I'm Ed Ludlow in San Francisco.

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<v Speaker 4>This is Bloomberg Technology.

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<v Speaker 3>Coming up. Microsoft and labor Unions. They form a historic

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<v Speaker 3>alliance on artificial intelligence. While the software giant's president says

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<v Speaker 3>there's no guarantee that AI won't displace jobs, will break

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<v Speaker 3>down the announcement, and.

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<v Speaker 2>As global regulators examine Microsoft's thirteen billion dollar investment in

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<v Speaker 2>Open AI, the company has a simple response, it doesn't

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<v Speaker 2>own a stake. Will discuss the antitrust concern SLUS.

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<v Speaker 3>The EU reaches a preliminary deal in what's seen as

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<v Speaker 3>a key part of the word well's first comprehensive I

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<v Speaker 3>guessed it artificial intelligence regulation. We'll discuss that and so

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<v Speaker 3>much more throughout the hour.

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<v Speaker 2>The big piece of news is Microsoft. Actually there were

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<v Speaker 2>two pieces of news. Is news news On the one hand,

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<v Speaker 2>this kind of relationship with afl CIO, a broad agreement

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<v Speaker 2>with unions to cooperate on artificial intelligence. The other more

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<v Speaker 2>specific piece of news is a case study involving a

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<v Speaker 2>few hundred staff and a very specific video games unit

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<v Speaker 2>where AI has been brought into the collective bargaining agreement.

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<v Speaker 2>I want to bring in Bloomberg's Jackie Davlos. She is

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<v Speaker 2>the host of AIRL on Bloomberg. Let's start with the

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<v Speaker 2>video game unit. Tell us the details of what happened overnight.

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<v Speaker 5>Well, the Communication Workers of America basically agreed with Microsoft

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<v Speaker 5>that they will be allowed to incorporate some AI language

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<v Speaker 5>into their collective bargaining agreement.

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<v Speaker 3>And that move was really one.

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<v Speaker 5>Of the first where you saw Microsoft agreeing to have

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<v Speaker 5>some language in those contracts. And that goes hand in

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<v Speaker 5>hand with that broader announcement that we saw today in

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<v Speaker 5>collaboration with afl CIO. Now, many people may not realize

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<v Speaker 5>that this labor organization encompasses over twelve point five million workers.

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<v Speaker 5>That includes other affiliated unions like SAGAFTERRA, like the Writers Guilled,

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<v Speaker 5>the Teachers' Union. So a real broad based organization coming

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<v Speaker 5>together with Microsoft in one of the first partnerships of

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<v Speaker 5>its kind that is tackling how to handle artificial intelligence

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<v Speaker 5>impact on workers, what they can do to both come

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<v Speaker 5>to the table and say where are workers being impact

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<v Speaker 5>and how can we best prepare them?

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<v Speaker 3>And to that end, we had, of course, President of Microsoft,

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<v Speaker 3>Brad Smith saying, like, look, honestly, I cannot say that

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<v Speaker 3>Joels won't be impacted and indeed become obsolete due to AI.

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<v Speaker 3>How straight toolking. We'll see at the announcement Jackie.

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<v Speaker 5>He was very candid because you had a room full

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<v Speaker 5>of people who have serious questions. You had teachers who

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<v Speaker 5>were wondering, how is this going to impact my students?

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<v Speaker 5>Randy Weingarten, the president of the American Federation of Teachers, sorry,

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<v Speaker 5>the Teachers' Union basically also they're in collaboration with Microsoft,

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<v Speaker 5>saying we want to understand how the company is going

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<v Speaker 5>to help us understand what artificial intelligence is doing to

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<v Speaker 5>our teachers, to our students, what can we do to

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<v Speaker 5>prepare them? And two things came out of this partnership.

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<v Speaker 5>The first being you have Microsoft agreeing to basically host

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<v Speaker 5>some training sessions for workers across the board. How is

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<v Speaker 5>artificial intelligence being developed?

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<v Speaker 3>How can it affect you?

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<v Speaker 5>Basically kind of giving them the AI one oh one

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<v Speaker 5>on what the technology is. The next being how can

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<v Speaker 5>we incorporate your feedback into the room where developers are

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<v Speaker 5>creating this technology. And the third is where can we

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<v Speaker 5>team up on policy proposals. They said they want to

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<v Speaker 5>quote join forces on putting forth legislation. When you have

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<v Speaker 5>members of the Senate in Congress basically coming together and saying, well,

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<v Speaker 5>we're accepting suggestions and the two want to create an

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<v Speaker 5>alliance of sorts to put together some proposals that are

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<v Speaker 5>the best interest of workers. Now, the other thing is

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<v Speaker 5>that came out of this is basically saying, look, we

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<v Speaker 5>Microsoft understand that the collective bargaining process is important and

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<v Speaker 5>we don't want to stand in the way of that.

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<v Speaker 5>And so the agreement also includes kind of this neutrality template,

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<v Speaker 5>basically terms that can say we're not going to stand

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<v Speaker 5>in the way of or people organizing. And that's a

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<v Speaker 5>big step coming from a technology company. It really puts

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<v Speaker 5>the spotlight on other companies like Amazon, which have not

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<v Speaker 5>taken such a friendly approach when it comes to their

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<v Speaker 5>workers organizing.

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<v Speaker 3>Great context, Jackie Davilos, thank you so much on the

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<v Speaker 3>world when it comes to Microsoft and the Laby unions.

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<v Speaker 3>But meanwhile, Smith and Microsoft in general, they've been busy

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<v Speaker 3>because of course having to defend that relationship with open

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<v Speaker 3>Ai as well. It's been drawing a lot of scrutiny

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<v Speaker 3>from global regulators, and the software giant has a simple

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<v Speaker 3>argument when it comes to its investment in open Ai,

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<v Speaker 3>and it hopes it will resonate with anti trust officials

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<v Speaker 3>the messages it doesn't own a traditional stake in the

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<v Speaker 3>startup with US. Now to discuss is Rebecca Allensworth, professor

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<v Speaker 3>at Vanderbilt University Law School, And all of this comes

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<v Speaker 3>about from Friday. We understand first the UK the CMA,

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<v Speaker 3>they're wanting to start sort of requesting people's input as

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<v Speaker 3>to whether or not de facto Microsoft controls open Ai

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<v Speaker 3>more than would be well seen on the surface of things.

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<v Speaker 3>Then we have the UK, as the US as well

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<v Speaker 3>regulators here looking into the relationship more broadly. From your perspective,

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<v Speaker 3>from a legal perspective, how strong is the argument that

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<v Speaker 3>Microsoft is some way acquired open Ai.

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<v Speaker 6>I think we don't know the answer to that question

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<v Speaker 6>because we don't know the terms of that deal. I mean,

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<v Speaker 6>you'll notice that he said traditional steak. So what I

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<v Speaker 6>want to know and I think what the FTC would

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<v Speaker 6>want to know, and the CMA is well in what

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<v Speaker 6>sense do they have a non traditional steak. There's some

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<v Speaker 6>reporting that they have a non voting seat at the table,

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<v Speaker 6>a position on the board. Is that going to be

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<v Speaker 6>a situation where that member says, hey, I'm not voting

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<v Speaker 6>on this, but if you vote for this, then I

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<v Speaker 6>think Microsoft will pull out. That could be seen as

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<v Speaker 6>de facto having some kind of control, and that could

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<v Speaker 6>potentially raise antitrust problems.

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<v Speaker 4>So here's what we know about the structure.

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<v Speaker 2>Based on Boobog's reporting, the thirteen billion dollars to date

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<v Speaker 2>did not equate to taking an equity investment. According to

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<v Speaker 2>Boonbo's reporting, Rebecca, it was that Microsoft would derive half

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<v Speaker 2>of the profits open Ai generates up into a capped

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<v Speaker 2>limit due to its closed profit model. And that is

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<v Speaker 2>the argument that Microsoft's saying it is not a state

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<v Speaker 2>because it was not an investment in return for equity.

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<v Speaker 2>The question is do regulators or will regulators by that.

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<v Speaker 6>I think it's an open question that we don't really

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<v Speaker 6>know the answer to. So anti trust law is not

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<v Speaker 6>well positioned to challenge investments. It actually is specifically said

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<v Speaker 6>in the Clayton Act that acquisitions that are merely an

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<v Speaker 6>investment essentially that don't involve any decision making authority are

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<v Speaker 6>not covered by that statute. And likewise, if we're going

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<v Speaker 6>to talk about Section one of the Sherman Act or

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<v Speaker 6>Section two of the Sherman Acts, other ways of challenging

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<v Speaker 6>it under anti trust laws, I think the regulators would

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<v Speaker 6>have to see this as some sort of merging of

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<v Speaker 6>decision making authority, and I just don't think that we know.

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<v Speaker 6>At the same time, the antrust laws are pretty flexible

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<v Speaker 6>about determining whether or not there is some de facto

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<v Speaker 6>decision making authority, so this won't be decided merely by

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<v Speaker 6>the corporate form. This will be a fact intensive inquiry

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<v Speaker 6>and the facts I think we don't have yet.

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<v Speaker 3>When we have to. Therefore, try not to speculate on facts,

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<v Speaker 3>but instead look at really what legal groundings. The FTC

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<v Speaker 3>has pursued a number of well cases of late where

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<v Speaker 3>ultimately they haven't won out, but they've been trying to

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<v Speaker 3>sort of swing the perception of where regulators should start

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<v Speaker 3>to get involved, what really consumer protection looks like. Over

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<v Speaker 3>in the UK, we know the CMA sort of backed

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<v Speaker 3>off from its original view of Microsoft and activision in

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<v Speaker 3>but did force change on that particular deal. What do

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<v Speaker 3>you think ultimately is trying to be got across here?

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<v Speaker 3>Are they worrying about some sort of ultimate monopolization that

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<v Speaker 3>could go into the world of artificial intelligence, and how

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<v Speaker 3>do they get ahead of that curve?

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<v Speaker 6>I think that's right, and I think the concern here is,

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<v Speaker 6>like so many of the FTC's actions happening right now,

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<v Speaker 6>which is a major deep pockets competitor, one might say

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<v Speaker 6>a monopolist, although I think in this case that's a

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<v Speaker 6>little bit of problematic. Holding an input that everybody needs

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<v Speaker 6>to effectively compete, and that input here is the GPT model,

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<v Speaker 6>and the idea would be this is going to become

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<v Speaker 6>essential to compete in so many markets actually, and if

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<v Speaker 6>it's controlled by one single entity that has the power

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<v Speaker 6>to bring it to market and can exclude other people

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<v Speaker 6>who might compete, that could be really bad for competition.

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<v Speaker 6>As you point out, though, that theory of competition, which

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<v Speaker 6>is not about head to head, it's not about Microsoft

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<v Speaker 6>competes with the chat GPT.

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<v Speaker 4>Product right now head to head.

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<v Speaker 6>That makes it a little bit of a different type

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<v Speaker 6>of challenge than the antitrust laws have been used to

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<v Speaker 6>over the last forty years. It's not precluded by the statute,

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<v Speaker 6>but it is a little bit unorthodox.

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<v Speaker 2>How much weight do you think a regulator would give

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<v Speaker 2>to the idea that there are now many companies offering

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<v Speaker 2>similar foundation or large language models. They're not the same

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<v Speaker 2>as GPT, but there are other models out there.

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<v Speaker 7>So this is a great.

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<v Speaker 6>Question because this has always been a problem in anti

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<v Speaker 6>trust and what you're talking aout about it's basically market definition.

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<v Speaker 6>Is the market the chat GPT model because it is

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<v Speaker 6>so different, it is so important, it does not have

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<v Speaker 6>a substitute that we're prepared to call that a market,

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<v Speaker 6>or is the market as I'm sure Microsoft and open

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<v Speaker 6>AI will be arguing artificial intelligence, which of course is

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<v Speaker 6>broad and people have been using artificial intelligence, you know,

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<v Speaker 6>for many, many years, and there's a lot of competitors

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<v Speaker 6>within it. The question should be about substitution. Is there

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<v Speaker 6>a substitutable product for open AIS technology? And I think

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<v Speaker 6>that is a pretty good argument that the answer to that.

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<v Speaker 8>Question is no.

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<v Speaker 2>Oh thanks to Rebecca Allen's work, professor at Vanderbilt Law

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<v Speaker 2>School there on potential interrust action against open Microsoft.

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<v Speaker 4>Right coming up on the show, European.

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<v Speaker 2>Regulators striking a landmark deal to regulate artificial intelligence. We'll

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<v Speaker 2>discuss with Ashley Casavan, Managing director at the iapp's AI

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<v Speaker 2>Governance Center. That's our conversation to next. This is Bloomberg technology.

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<v Speaker 9>That we lose control of the machines I think to

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<v Speaker 9>some extent, and the howser still very much being debated obviously,

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<v Speaker 9>of having the fail safe mechanisms in place that humans

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<v Speaker 9>can override the systems. That's probably the single largest thing

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<v Speaker 9>I think and worry about, is that if the machines

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<v Speaker 9>can be or the algorithms or there was being generated,

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<v Speaker 9>can be developed in such a way that there is

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<v Speaker 9>no fail safe mechanism that it can be overridden by

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<v Speaker 9>a human.

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<v Speaker 8>That's what worries me.

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<v Speaker 2>Those Armed CEO Renee has speaking exclusively to Bloomberg back

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<v Speaker 2>at the end of November about his concerns regarding generative AI.

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<v Speaker 2>He shares concerns with European regulators, who over the weekend

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<v Speaker 2>reached a deal to formally regulate the technology. Joining us

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<v Speaker 2>now with more is as Casavan, Managing director of the

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<v Speaker 2>International Association of Privacy Professionals AI Governance Center, one of

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<v Speaker 2>the largest and most comprehensive resources for global privacy and information.

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<v Speaker 2>There is a lot in this EUAI Act. The top

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<v Speaker 2>lines as I see it, is the acceptable use policy,

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<v Speaker 2>some disclosures about the data.

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<v Speaker 4>Used to train models.

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<v Speaker 2>What is your kind of takeaway on the depth of

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<v Speaker 2>how this has been regulated in Europe?

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<v Speaker 8>It's quite significant.

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<v Speaker 10>This is definitely a landmark deal that has broad implications,

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<v Speaker 10>not just for European companies, but companies all over the world.

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<v Speaker 10>I think that the fact that they're really looking to

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<v Speaker 10>align with international definitions or following and changing through these

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<v Speaker 10>discussions to OECD definitions, indicates just how big of an

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<v Speaker 10>impact this will have globally.

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<v Speaker 3>The whole difficulty was on one side fostering innovation, on

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<v Speaker 3>the other side, well, protecting the rights of people the user,

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<v Speaker 3>and of course this is why what it was a

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<v Speaker 3>thirty seven hours of negotiations that took place. Actually, from

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<v Speaker 3>your perspective, does this in any way protect and ultimately

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<v Speaker 3>innovation in Europe because many will worried about some of

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<v Speaker 3>the startup's mistyle for example in France.

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<v Speaker 10>Sure, I think that it's really to be determined how

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<v Speaker 10>this is going to be enforced and the implications. But

0:13:29.400 --> 0:13:34.240
<v Speaker 10>I do think that what's been drafted is really what

0:13:34.280 --> 0:13:37.480
<v Speaker 10>we've seen from the dialogues, because we haven't actually seen

0:13:37.520 --> 0:13:42.480
<v Speaker 10>the text of the final Act will be left to

0:13:42.600 --> 0:13:46.560
<v Speaker 10>how it's enforced. That said, I do think that really

0:13:46.640 --> 0:13:53.360
<v Speaker 10>relying on product safety assurance mechanisms like third party audience

0:13:53.920 --> 0:13:59.080
<v Speaker 10>will hopefully provide that balance between innovation for companies and

0:13:59.360 --> 0:14:01.199
<v Speaker 10>then protection of the public.

0:14:02.000 --> 0:14:04.920
<v Speaker 3>What's notable, of course, is yes, we've had an EO

0:14:05.040 --> 0:14:07.320
<v Speaker 3>here in the US. Yes we've had much talk of regulation,

0:14:07.480 --> 0:14:09.720
<v Speaker 3>but ultimately this is the first time you get real

0:14:09.800 --> 0:14:11.960
<v Speaker 3>fines being outlined. I mean, look, they only add out

0:14:12.000 --> 0:14:13.679
<v Speaker 3>to about thirty five million euros, but that's a lot

0:14:13.679 --> 0:14:15.679
<v Speaker 3>if you're a small company, and indeed it could be

0:14:15.760 --> 0:14:18.640
<v Speaker 3>seven percent of global turnover for big companies. Jerry Breton,

0:14:18.800 --> 0:14:21.760
<v Speaker 3>of course, key negotiator in all of this, trying to

0:14:21.840 --> 0:14:24.560
<v Speaker 3>drive it across the line when it comes to the EU.

0:14:24.960 --> 0:14:27.560
<v Speaker 3>He was talking about basically how much the EU is

0:14:27.640 --> 0:14:31.040
<v Speaker 3>leading here, is it? And how much do you think

0:14:31.120 --> 0:14:33.360
<v Speaker 3>this is going to set the scene for the global

0:14:33.400 --> 0:14:35.600
<v Speaker 3>AI players here, because ultimately it's only open AI that

0:14:35.600 --> 0:14:36.720
<v Speaker 3>seems to be affected thus far.

0:14:38.560 --> 0:14:39.520
<v Speaker 8>It's a great question.

0:14:40.400 --> 0:14:43.960
<v Speaker 10>It's funny that you're sharing that that post. I guess

0:14:44.120 --> 0:14:48.880
<v Speaker 10>is what we're calling tweets now, and the reason why

0:14:49.000 --> 0:14:52.760
<v Speaker 10>is because there's been a lot of conversations in nations

0:14:52.800 --> 0:14:53.440
<v Speaker 10>all over the world.

0:14:53.480 --> 0:14:55.000
<v Speaker 8>You mentioned the US's.

0:14:54.800 --> 0:14:59.040
<v Speaker 10>Recent AI Executive Order that's really looking to understand the

0:14:59.040 --> 0:15:04.320
<v Speaker 10>implications of these systems and drive some good guardrails around

0:15:04.480 --> 0:15:07.960
<v Speaker 10>how to again kind of balance innovation, protect the public,

0:15:08.280 --> 0:15:11.880
<v Speaker 10>but even really think through what different implications of these

0:15:11.920 --> 0:15:14.920
<v Speaker 10>systems are, given that AI is not one specific thing,

0:15:15.440 --> 0:15:18.280
<v Speaker 10>and I think that getting there was a lot of

0:15:19.120 --> 0:15:23.480
<v Speaker 10>countries that wanted to get to the gate first did

0:15:24.080 --> 0:15:27.200
<v Speaker 10>get some regulation out there, and so it's great that

0:15:27.240 --> 0:15:30.880
<v Speaker 10>Europe did that. But I do think that there's actually

0:15:30.920 --> 0:15:33.760
<v Speaker 10>a converging of a lot of these different guard rails

0:15:34.120 --> 0:15:36.560
<v Speaker 10>in different formats all over the world.

0:15:37.760 --> 0:15:40.560
<v Speaker 2>Actually, whether it's at the parliament or commission level in

0:15:40.600 --> 0:15:45.440
<v Speaker 2>Europe or Congress here in America, do the people writing

0:15:45.480 --> 0:15:48.880
<v Speaker 2>the rules and the regulation have a deep enough understanding

0:15:48.960 --> 0:15:50.800
<v Speaker 2>of what it is that they're regulating.

0:15:53.320 --> 0:15:57.560
<v Speaker 10>It's definitely going to be a resource implication in any

0:15:57.600 --> 0:16:01.280
<v Speaker 10>country that's looking to over see some of these rules.

0:16:01.480 --> 0:16:03.320
<v Speaker 10>That said, I don't think that they're doing it alone.

0:16:03.720 --> 0:16:07.360
<v Speaker 10>We've seen how there's been a large amount of public

0:16:07.400 --> 0:16:13.080
<v Speaker 10>participation in these processes, civil society organizations providing feedback on

0:16:13.120 --> 0:16:16.400
<v Speaker 10>an ongoing basis, companies that are brought to the table

0:16:17.280 --> 0:16:22.480
<v Speaker 10>through not just some of this drafting dialogue, but as

0:16:22.520 --> 0:16:24.440
<v Speaker 10>we've seen with some of the voluntary codes that have

0:16:24.520 --> 0:16:27.400
<v Speaker 10>come out and that we're even referenced in this through

0:16:27.720 --> 0:16:33.000
<v Speaker 10>in the work from the Commission, the G seven Hiroshima process,

0:16:33.200 --> 0:16:36.840
<v Speaker 10>that those companies are at the table providing inputs, and

0:16:36.920 --> 0:16:39.760
<v Speaker 10>I think we'll start to see that through enforcements. And

0:16:39.840 --> 0:16:44.280
<v Speaker 10>again there's a reliance on standards which are typically developed

0:16:44.320 --> 0:16:45.120
<v Speaker 10>by industry.

0:16:45.440 --> 0:16:47.840
<v Speaker 8>So I think it's a bit of a misnomer.

0:16:47.400 --> 0:16:51.000
<v Speaker 10>To think that it's just going to be relying on

0:16:51.720 --> 0:16:53.360
<v Speaker 10>resources provided by the government.

0:16:54.160 --> 0:16:57.880
<v Speaker 3>Public and private relationship one that you know well actually

0:16:57.880 --> 0:17:01.920
<v Speaker 3>of course previously data and digital for the Government of Canada.

0:17:02.080 --> 0:17:04.640
<v Speaker 3>So having to look around the AI and responsible AI

0:17:04.720 --> 0:17:08.359
<v Speaker 3>a long time before all of this. Actually, Kasavan, sorry,

0:17:08.440 --> 0:17:11.320
<v Speaker 3>we thank you so much, Managing director of the iapp's

0:17:11.359 --> 0:17:12.399
<v Speaker 3>AI Governance Center.

0:17:21.840 --> 0:17:23.760
<v Speaker 2>Time for talking tech and first stuff in the news.

0:17:23.800 --> 0:17:26.440
<v Speaker 2>Apple said over the weekend that it shut down third

0:17:26.480 --> 0:17:31.000
<v Speaker 2>party applications enabling Android devices to use I Message to

0:17:31.080 --> 0:17:35.280
<v Speaker 2>communicate with iPhone users, citing significant risks to user security

0:17:35.640 --> 0:17:39.560
<v Speaker 2>and privacy, and shares with the South Korean firm wider Planet,

0:17:39.600 --> 0:17:43.760
<v Speaker 2>which uses AI to produce advertising, jumped sixty nine percent

0:17:43.840 --> 0:17:47.000
<v Speaker 2>in two sessions after it said that Squid Games lead

0:17:47.119 --> 0:17:51.480
<v Speaker 2>Star would become its biggest shareholder with three million shares plus.

0:17:51.520 --> 0:17:54.560
<v Speaker 2>TikTok agreed to invest one point five billion dollars to

0:17:54.640 --> 0:17:58.560
<v Speaker 2>combine its shopping businesses with Indonesia's go to group. TikTok

0:17:58.600 --> 0:18:01.320
<v Speaker 2>gets a seventy five percent stay in that combination, which

0:18:01.359 --> 0:18:04.560
<v Speaker 2>will run it shopping features in Indonesia, the company's biggest

0:18:04.720 --> 0:18:06.640
<v Speaker 2>online retail market, Carrot.

0:18:06.720 --> 0:18:08.560
<v Speaker 3>And let's talk about e commerce more broadly in the

0:18:08.560 --> 0:18:11.080
<v Speaker 3>globalization of it because a little known PDD or pinto

0:18:11.160 --> 0:18:15.040
<v Speaker 3>duo has been surging in China. Now it's Timu discounts app.

0:18:15.240 --> 0:18:17.880
<v Speaker 3>It's rivaling Amazon and Walmart here in the United States.

0:18:18.280 --> 0:18:21.239
<v Speaker 3>On Bloomberg's latest big take, we take a look at

0:18:21.240 --> 0:18:24.240
<v Speaker 3>how the company's behind the addictive app is actually outpass

0:18:24.400 --> 0:18:28.160
<v Speaker 3>outpacing Jack mars Ali Baba also in terms of market capitalization.

0:18:28.359 --> 0:18:32.320
<v Speaker 3>Now it's even earning the celebrity CEO's praise. Bloomberg expensive

0:18:32.359 --> 0:18:35.280
<v Speaker 3>Sofa joins us now for what has become a bit

0:18:35.280 --> 0:18:38.159
<v Speaker 3>of an American addiction too. They might not know that

0:18:38.240 --> 0:18:40.600
<v Speaker 3>PDD is a company behind it, but it feels like

0:18:40.640 --> 0:18:41.720
<v Speaker 3>everyone's using Temu.

0:18:44.200 --> 0:18:47.320
<v Speaker 11>Yeah, it's come on into the US by storm in

0:18:47.440 --> 0:18:50.679
<v Speaker 11>a little over a year. Is really starting to gobble

0:18:50.760 --> 0:18:54.040
<v Speaker 11>up spending in market share. It had its big Super

0:18:54.040 --> 0:18:58.440
<v Speaker 11>Bowl advertising blitz back in February, you know, saying shop

0:18:58.560 --> 0:19:02.760
<v Speaker 11>like a billionaire. You can can splurge as if you

0:19:02.800 --> 0:19:04.200
<v Speaker 11>have a ton of money, even if you don't.

0:19:04.960 --> 0:19:05.920
<v Speaker 4>It's really like.

0:19:05.880 --> 0:19:10.560
<v Speaker 11>An online dollar General in your phone, you know, just

0:19:10.600 --> 0:19:13.560
<v Speaker 11>a broad assortment of stuff, very very low prices, and

0:19:13.600 --> 0:19:16.240
<v Speaker 11>then the sacrifice US shoppers have to make is waiting

0:19:16.280 --> 0:19:17.080
<v Speaker 11>for delivery time.

0:19:17.119 --> 0:19:18.720
<v Speaker 4>So that would be the downside.

0:19:18.760 --> 0:19:21.080
<v Speaker 11>You're gonna you're gonna get prices you can't beat anywhere else,

0:19:21.119 --> 0:19:22.919
<v Speaker 11>but you're gonna have to you have to wait for

0:19:22.920 --> 0:19:24.120
<v Speaker 11>the stuff to come to your doorstep.

0:19:25.480 --> 0:19:28.000
<v Speaker 2>Hey Spencer, what's the threat to your main beat company,

0:19:28.080 --> 0:19:29.680
<v Speaker 2>Amazon dot Com?

0:19:30.520 --> 0:19:32.520
<v Speaker 11>Well, I think right now that the threat is exactly

0:19:32.600 --> 0:19:36.439
<v Speaker 11>that price sensitivity. Is it going to win some of

0:19:36.480 --> 0:19:40.600
<v Speaker 11>the market share from Amazon, especially maybe like a stocking

0:19:40.600 --> 0:19:44.159
<v Speaker 11>stuff from market share Amazon CEO A. D. Jasse has

0:19:44.160 --> 0:19:46.919
<v Speaker 11>given interviews where he says, you know, their customers are

0:19:46.960 --> 0:19:49.200
<v Speaker 11>still being pretty cautious. They're not buying big ticket items.

0:19:49.240 --> 0:19:51.920
<v Speaker 11>They're buying the low cost things. They're buying the consumables.

0:19:52.359 --> 0:19:54.720
<v Speaker 11>That's right where Timu is. You know, most of the

0:19:54.760 --> 0:19:58.560
<v Speaker 11>products are are low cost ten twenty bucks. And then

0:19:58.600 --> 0:20:00.840
<v Speaker 11>they also seem to kind to grab you a little

0:20:00.840 --> 0:20:02.639
<v Speaker 11>more with a social element. They have a lot of

0:20:02.720 --> 0:20:04.920
<v Speaker 11>games in the app. If you open it, it could almost

0:20:04.960 --> 0:20:07.159
<v Speaker 11>be like overwhelming and jarring. It's like a like a

0:20:07.160 --> 0:20:10.120
<v Speaker 11>casino in your phone with lots of spinning wheels and

0:20:10.240 --> 0:20:13.200
<v Speaker 11>games about raising fish and farming. So they try to

0:20:13.280 --> 0:20:15.600
<v Speaker 11>kind of suck you in and grab your attention and

0:20:15.640 --> 0:20:16.399
<v Speaker 11>not just your money.

0:20:17.400 --> 0:20:19.440
<v Speaker 2>Bloomberg expense is so for a part of the team

0:20:19.480 --> 0:20:21.600
<v Speaker 2>with the big take and all the things findor Duo

0:20:21.640 --> 0:20:22.960
<v Speaker 2>and Timu, thank you very much.

0:20:31.520 --> 0:20:33.679
<v Speaker 3>Welcome back to Bluemore Technology. I'm Karen Hide in New

0:20:33.760 --> 0:20:34.600
<v Speaker 3>York and.

0:20:34.520 --> 0:20:35.960
<v Speaker 4>I met Love Low in San Francisco.

0:20:36.080 --> 0:20:38.359
<v Speaker 2>Quick checking in the markets and two stories that have

0:20:38.440 --> 0:20:41.159
<v Speaker 2>been driving moves to start in Europe with Worldline. This

0:20:41.240 --> 0:20:43.920
<v Speaker 2>is a fintech company that closed up one point five

0:20:43.960 --> 0:20:48.760
<v Speaker 2>percent after Bluebelt, which is basically an activist investor, said

0:20:49.040 --> 0:20:51.200
<v Speaker 2>get rid of the chair and change the board. You'll

0:20:51.200 --> 0:20:53.439
<v Speaker 2>remember Worldline, it was a stock that at the end

0:20:53.480 --> 0:20:57.280
<v Speaker 2>of October fell sixty percent in a single day after

0:20:57.320 --> 0:21:01.280
<v Speaker 2>it basically dramatically revised its growth for car and everyone said,

0:21:01.280 --> 0:21:03.280
<v Speaker 2>what on earth is going on? Blue Bell saying let's

0:21:03.280 --> 0:21:05.720
<v Speaker 2>bring some confidence and trust back to that name in

0:21:05.760 --> 0:21:09.360
<v Speaker 2>the fintech space and calling for those changes, which investors

0:21:09.480 --> 0:21:12.359
<v Speaker 2>responded to positively. The other one is an earning story.

0:21:12.400 --> 0:21:15.879
<v Speaker 2>Oracle is put reporting earnings after the Bell, just a

0:21:15.920 --> 0:21:18.520
<v Speaker 2>big focus on their data center business. It's about a

0:21:18.560 --> 0:21:21.480
<v Speaker 2>third of revenue. But the story is can they get

0:21:21.520 --> 0:21:24.359
<v Speaker 2>access to the high performance GPUs that they need to

0:21:24.400 --> 0:21:27.680
<v Speaker 2>build out data center infrastructure relevant to the AI story

0:21:27.920 --> 0:21:30.320
<v Speaker 2>both on the training and inference side. We have so

0:21:30.320 --> 0:21:32.399
<v Speaker 2>many people on this show, Carr that come on and say,

0:21:32.600 --> 0:21:34.960
<v Speaker 2>why are we not talking more about Oracle in the

0:21:34.960 --> 0:21:36.959
<v Speaker 2>same context as the other hyperscalers.

0:21:37.160 --> 0:21:38.520
<v Speaker 4>They can offer the same thing.

0:21:38.760 --> 0:21:41.160
<v Speaker 2>There's a big addressable market out there for people who

0:21:41.160 --> 0:21:45.520
<v Speaker 2>want to train foundation or large language models. Oracle just

0:21:45.520 --> 0:21:47.680
<v Speaker 2>needs to build out its infrastructure.

0:21:47.119 --> 0:21:47.639
<v Speaker 4>To support that.

0:21:47.880 --> 0:21:50.520
<v Speaker 3>And boy hasn't just AI sucked all the oxygen out

0:21:50.520 --> 0:21:53.280
<v Speaker 3>of this show and likely the entirety of twenty twenty

0:21:53.359 --> 0:21:55.320
<v Speaker 3>three when it comes to investment, and let's just go

0:21:55.359 --> 0:21:58.520
<v Speaker 3>from those public market types of investments to the private

0:21:58.560 --> 0:22:02.160
<v Speaker 3>the bench Capital side Green is on today's at VC Spotlight.

0:22:02.240 --> 0:22:04.440
<v Speaker 3>He is a founding managing partner of lead Edge Capital

0:22:04.680 --> 0:22:07.240
<v Speaker 3>growth equity firm five billion dollars in assets under management,

0:22:07.240 --> 0:22:10.199
<v Speaker 3>investing across public private tech companies and also looking for

0:22:10.240 --> 0:22:12.800
<v Speaker 3>areas of liquidity when it comes to the secondary market. Mitchell,

0:22:12.880 --> 0:22:15.359
<v Speaker 3>I'm interested as to how much you think AI is

0:22:15.400 --> 0:22:17.680
<v Speaker 3>just going to be the play for twenty twenty four,

0:22:17.680 --> 0:22:20.040
<v Speaker 3>whether it's buying on the secondary market or indeed investing

0:22:20.080 --> 0:22:21.200
<v Speaker 3>in early rounds.

0:22:22.200 --> 0:22:24.440
<v Speaker 8>Thanks so much for having me. And I think that

0:22:26.359 --> 0:22:27.719
<v Speaker 8>there's gonna be a lot of things going on. It's

0:22:27.760 --> 0:22:28.480
<v Speaker 8>not just AI.

0:22:28.760 --> 0:22:31.280
<v Speaker 12>You know, there's a lot of interesting software companies being

0:22:31.320 --> 0:22:34.320
<v Speaker 12>built right now, and I think it's a function of

0:22:34.680 --> 0:22:36.399
<v Speaker 12>lots of different industries are going to be you know,

0:22:36.720 --> 0:22:39.520
<v Speaker 12>the top of the town is just AI in Silicon Valley,

0:22:39.720 --> 0:22:41.560
<v Speaker 12>but there's a lot of people build an interesting software

0:22:41.560 --> 0:22:42.760
<v Speaker 12>companies outside of AI.

0:22:44.400 --> 0:22:44.800
<v Speaker 4>Mitchell.

0:22:45.160 --> 0:22:48.280
<v Speaker 2>The Friday lunch time that Sam Outman was fired by

0:22:48.320 --> 0:22:50.880
<v Speaker 2>the then board of open AI. I don't think many

0:22:50.960 --> 0:22:53.639
<v Speaker 2>of us will forget, but the story I was looking

0:22:53.640 --> 0:22:57.920
<v Speaker 2>into that week was the shocking liquidity on the secondaries

0:22:58.000 --> 0:23:02.320
<v Speaker 2>market for open ai shares, largely through SPV transactions, some

0:23:02.400 --> 0:23:06.920
<v Speaker 2>of which blocks of shares or units of SPVs. We're

0:23:07.040 --> 0:23:10.880
<v Speaker 2>valuing open AI at one hundred billion dollars. I don't

0:23:10.880 --> 0:23:14.120
<v Speaker 2>think our audience knows just how liquid markets for shares

0:23:14.160 --> 0:23:18.320
<v Speaker 2>of open AIS SpaceX are. Which names do you expect

0:23:18.359 --> 0:23:20.439
<v Speaker 2>to be in this big twenty twenty four market that

0:23:20.480 --> 0:23:21.200
<v Speaker 2>you've outlined.

0:23:22.720 --> 0:23:26.720
<v Speaker 12>I think you're going to see in an area in

0:23:26.800 --> 0:23:31.679
<v Speaker 12>a world where investors, so people who invest in funds

0:23:31.800 --> 0:23:38.399
<v Speaker 12>are limited partners, they are you know, demanding investors private

0:23:38.400 --> 0:23:42.480
<v Speaker 12>equity funds give capital back to their investors, in which

0:23:42.600 --> 0:23:46.119
<v Speaker 12>case people are going to look to secondary markets to sell.

0:23:46.520 --> 0:23:49.280
<v Speaker 12>I think you're going to see, you know, continue to

0:23:49.320 --> 0:23:53.399
<v Speaker 12>see increase in companies, you know, turning into selling stuff

0:23:53.440 --> 0:23:58.199
<v Speaker 12>through SPVs or secondary markets. You're going to see a

0:23:58.200 --> 0:24:02.879
<v Speaker 12>lot of continuation funds. Anything that drives DPI, which is

0:24:02.960 --> 0:24:06.280
<v Speaker 12>money back to LPs on that basis, is going to

0:24:06.280 --> 0:24:06.840
<v Speaker 12>be a focus.

0:24:06.840 --> 0:24:08.520
<v Speaker 8>It because it's it's funds trying to.

0:24:08.440 --> 0:24:11.080
<v Speaker 12>Return money to their LPs, and you know, with a

0:24:11.119 --> 0:24:13.760
<v Speaker 12>slow IPO and M and a market that's just going

0:24:13.800 --> 0:24:14.680
<v Speaker 12>to be exaggerated.

0:24:15.560 --> 0:24:16.879
<v Speaker 4>Well that's my question.

0:24:17.119 --> 0:24:20.919
<v Speaker 2>Is all this activity in the secondary's market a precursor

0:24:21.080 --> 0:24:24.400
<v Speaker 2>or leading indicator that we will start to see more

0:24:24.440 --> 0:24:28.320
<v Speaker 2>primary rounds and more listings or exits in twenty twenty four.

0:24:29.480 --> 0:24:32.159
<v Speaker 12>I don't think it's a h think. I don't think

0:24:32.200 --> 0:24:35.080
<v Speaker 12>it's a precursor to it. I think it is a

0:24:35.160 --> 0:24:38.280
<v Speaker 12>it's a result of not having an IPO market right now.

0:24:38.359 --> 0:24:39.120
<v Speaker 8>Why I've seen it.

0:24:39.280 --> 0:24:41.640
<v Speaker 12>That being said, they'll go going all the way back

0:24:41.680 --> 0:24:45.720
<v Speaker 12>to you know, Facebook and Ali Baba and Twitter and Uber.

0:24:45.960 --> 0:24:49.000
<v Speaker 12>There's been secondary markets for a lot of these big companies,

0:24:49.080 --> 0:24:50.840
<v Speaker 12>even in robust IPO markets.

0:24:51.920 --> 0:24:52.800
<v Speaker 8>I think you need to FED.

0:24:52.880 --> 0:24:55.880
<v Speaker 12>I think investors need to get confident that the FED

0:24:55.960 --> 0:24:58.240
<v Speaker 12>is done raising rates. I don't think they need to

0:24:58.320 --> 0:25:00.639
<v Speaker 12>lower them a bunch for the IPO market to happen,

0:25:00.720 --> 0:25:03.080
<v Speaker 12>but I think are to pick up.

0:25:03.359 --> 0:25:04.920
<v Speaker 8>But I do think they need to get a sense

0:25:04.960 --> 0:25:08.240
<v Speaker 8>that rate rising is done, which you know, who knows.

0:25:09.080 --> 0:25:11.480
<v Speaker 12>I expect we'll see more tech IPOs in twenty twenty

0:25:11.480 --> 0:25:12.920
<v Speaker 12>four than we saw on twenty twenty three.

0:25:13.040 --> 0:25:16.000
<v Speaker 8>But that's not very hard to do. You don't need many.

0:25:16.680 --> 0:25:19.720
<v Speaker 3>Well said Mitchell. I'm interested because you, of course that

0:25:19.920 --> 0:25:23.840
<v Speaker 3>lead edged capital do take part in the liquidity movement

0:25:23.960 --> 0:25:26.280
<v Speaker 3>and buying up on the secondary market. And one of

0:25:26.280 --> 0:25:28.360
<v Speaker 3>the valuations that we're looking at, I mean, we were

0:25:28.359 --> 0:25:30.600
<v Speaker 3>hearing of the top evaluations. It's still getting for an

0:25:30.640 --> 0:25:33.919
<v Speaker 3>open AI. But while a lot of these gps are

0:25:33.920 --> 0:25:36.120
<v Speaker 3>going to be under stress from their LPs to be

0:25:36.560 --> 0:25:39.440
<v Speaker 3>well selling out, perhaps at evaluation that isn't as high

0:25:39.440 --> 0:25:40.320
<v Speaker 3>as it was previously.

0:25:41.520 --> 0:25:45.920
<v Speaker 8>Yeah, so I think twenty twenty four will be.

0:25:46.080 --> 0:25:48.480
<v Speaker 12>Or maybe not twenty twenty four, twenty twenty four, twenty five,

0:25:48.560 --> 0:25:50.520
<v Speaker 12>twenty six will be. You're going to see a lot

0:25:50.560 --> 0:25:53.520
<v Speaker 12>of down round IPOs and that doesn't mean anything. That

0:25:53.640 --> 0:25:56.399
<v Speaker 12>just means a handful of fools who paid a higher

0:25:56.440 --> 0:25:58.560
<v Speaker 12>price in the last round are now paying you know,

0:25:58.600 --> 0:25:59.840
<v Speaker 12>are now having a down round.

0:26:00.119 --> 0:26:02.600
<v Speaker 8>Doesn't really affect the company they raised. The company is

0:26:02.600 --> 0:26:03.399
<v Speaker 8>actually really smart.

0:26:03.440 --> 0:26:05.760
<v Speaker 12>They raised money at X and when they decided to

0:26:05.760 --> 0:26:08.720
<v Speaker 12>list the shares they became lower than XT.

0:26:08.840 --> 0:26:10.280
<v Speaker 8>That's fine, there's nothing wrong with that.

0:26:12.000 --> 0:26:14.800
<v Speaker 12>But you know, and very few of these investors have

0:26:14.880 --> 0:26:17.480
<v Speaker 12>blocks on these IPOs. So I actually think you're going

0:26:17.560 --> 0:26:20.040
<v Speaker 12>to see a lot of down round IPOs start to happen.

0:26:20.080 --> 0:26:21.879
<v Speaker 8>It's going to take time. Now again we've seen them before.

0:26:21.960 --> 0:26:24.359
<v Speaker 12>Stripe was like a down round IPO, and by the way,

0:26:24.400 --> 0:26:25.280
<v Speaker 12>down ound ipo.

0:26:25.080 --> 0:26:25.960
<v Speaker 8>Doesn't mean anything.

0:26:26.640 --> 0:26:28.560
<v Speaker 12>It can still be a great opportunity to buy the

0:26:28.560 --> 0:26:31.000
<v Speaker 12>stock over the long term. That just means at that

0:26:31.040 --> 0:26:33.280
<v Speaker 12>point in time, somebody at one point was going to

0:26:33.280 --> 0:26:36.440
<v Speaker 12>by a higher price. I think you're going to continue

0:26:36.480 --> 0:26:39.320
<v Speaker 12>now in the secondary markets, it just depends. I think

0:26:39.320 --> 0:26:42.560
<v Speaker 12>the price of open Ai probably is a bit nutty,

0:26:42.600 --> 0:26:48.000
<v Speaker 12>but what do I know. Look, there are interesting opportunities,

0:26:48.000 --> 0:26:51.760
<v Speaker 12>and are in a world where gps need to you know,

0:26:51.800 --> 0:26:55.399
<v Speaker 12>people that run funds need to get liquidity.

0:26:55.600 --> 0:26:57.520
<v Speaker 8>There's probably interesting.

0:26:57.320 --> 0:26:59.600
<v Speaker 12>And I've been sitting on positions for a long time,

0:27:00.000 --> 0:27:03.560
<v Speaker 12>probably you know, interesting opportunities out there. We just bought

0:27:03.600 --> 0:27:07.159
<v Speaker 12>something at less than fifteen times EBITDA and it's a

0:27:07.240 --> 0:27:09.399
<v Speaker 12>rule of sixty business, which means it grows you know,

0:27:09.480 --> 0:27:11.919
<v Speaker 12>twenty five and had thirty five percent ebitdet margians. That

0:27:11.920 --> 0:27:13.360
<v Speaker 12>doesn't seem crazy to us at all.

0:27:13.680 --> 0:27:16.119
<v Speaker 3>So maybe if people are looking to be getting into

0:27:16.359 --> 0:27:20.200
<v Speaker 3>stripe at evaluation that they find slightly more digestible. They're

0:27:20.200 --> 0:27:21.360
<v Speaker 3>going to be able to do that in the secondary

0:27:21.359 --> 0:27:23.680
<v Speaker 3>market right now or indeed better in twenty twenty four.

0:27:24.000 --> 0:27:27.160
<v Speaker 3>Who are those buyers at the moment, and indeed, who

0:27:27.200 --> 0:27:29.680
<v Speaker 3>do you tend to be the sellers in this particular

0:27:29.720 --> 0:27:30.440
<v Speaker 3>type of market.

0:27:31.240 --> 0:27:32.240
<v Speaker 8>Yeah, that's a great question.

0:27:32.320 --> 0:27:35.359
<v Speaker 12>So on the on the cell side, it typically could

0:27:35.400 --> 0:27:38.200
<v Speaker 12>be an early a fund that was an early investor

0:27:38.280 --> 0:27:40.800
<v Speaker 12>in it. It could be a late investor that just

0:27:40.880 --> 0:27:44.800
<v Speaker 12>needs to get liquidity to their LPs, your crossover hedge

0:27:44.800 --> 0:27:47.919
<v Speaker 12>fund or something. It could be an early employee or

0:27:47.960 --> 0:27:52.480
<v Speaker 12>a former employee, an early angel investor, and it just

0:27:52.480 --> 0:27:56.600
<v Speaker 12>think abouting that own stock at my own liquidity. On

0:27:56.680 --> 0:28:00.320
<v Speaker 12>the buy side, you know, depending on the type of company,

0:28:00.800 --> 0:28:03.199
<v Speaker 12>there are a lot of secondary funds set up to

0:28:03.240 --> 0:28:08.000
<v Speaker 12>do this, whether it's Globe and Sachs's secondary fund, you know,

0:28:08.400 --> 0:28:13.000
<v Speaker 12>Blackstone secondary fund, Lexington Collie, or there's a bunch of them. Also,

0:28:13.000 --> 0:28:18.280
<v Speaker 12>people like Industry A Ventures, We obviously participated in secondaries. Additionally,

0:28:19.000 --> 0:28:22.000
<v Speaker 12>existing investors in the company often have you know, writer

0:28:22.160 --> 0:28:25.320
<v Speaker 12>first refusals to buy stock in these businesses, and if

0:28:25.359 --> 0:28:29.000
<v Speaker 12>the prices are attractive. They often do you know, and

0:28:29.040 --> 0:28:32.440
<v Speaker 12>then other other venture firms and if they want exposure

0:28:32.480 --> 0:28:34.119
<v Speaker 12>to a company, that's another you know.

0:28:34.160 --> 0:28:35.680
<v Speaker 8>We we've become big.

0:28:35.760 --> 0:28:39.000
<v Speaker 12>Through a business called transfer Wise, and it was primarily

0:28:39.040 --> 0:28:42.800
<v Speaker 12>through company facilitated secondary because there are two types of

0:28:42.800 --> 0:28:43.800
<v Speaker 12>secondary transactions.

0:28:43.800 --> 0:28:46.080
<v Speaker 8>I mean there's multiple year involved, so it.

0:28:46.080 --> 0:28:49.120
<v Speaker 12>Could be company facilitated or just like you know, one

0:28:49.160 --> 0:28:51.400
<v Speaker 12>off rogue and rogue isn't bad.

0:28:51.240 --> 0:28:52.160
<v Speaker 8>It's just different ways.

0:28:52.280 --> 0:28:55.080
<v Speaker 12>This depends on sometimes their company organized secondaries.

0:28:55.840 --> 0:28:58.720
<v Speaker 2>Mitchell, quickly, what was it the name that you bought

0:28:58.760 --> 0:28:59.640
<v Speaker 2>at fifteen times E?

0:28:59.840 --> 0:29:01.160
<v Speaker 4>Does I make?

0:29:01.520 --> 0:29:03.600
<v Speaker 8>I can't think that it's just a software company.

0:29:03.840 --> 0:29:06.760
<v Speaker 12>I would assure you that not one of your viewers

0:29:06.800 --> 0:29:08.600
<v Speaker 12>has ever heard of the company.

0:29:08.640 --> 0:29:11.080
<v Speaker 8>It makes time tracking software.

0:29:12.520 --> 0:29:13.680
<v Speaker 4>Interesting. We'll dig into it.

0:29:13.720 --> 0:29:16.600
<v Speaker 2>Michaell Green founding, a managing partner of lead Edge Capital.

0:29:16.880 --> 0:29:19.120
<v Speaker 2>Deep dive on the secondaries market. We're doing that more

0:29:19.120 --> 0:29:21.200
<v Speaker 2>and more on the show. Thank you very much. Now,

0:29:21.200 --> 0:29:25.440
<v Speaker 2>coming up, Elon Musk reinstates Alex Jones's account on X

0:29:25.680 --> 0:29:29.320
<v Speaker 2>after a five year fan We have the details. Next,

0:29:29.520 --> 0:29:45.520
<v Speaker 2>this is Bloomberg Technology appsent websites that use AI to

0:29:45.680 --> 0:29:47.280
<v Speaker 2>undress women in photos.

0:29:47.360 --> 0:29:49.240
<v Speaker 4>Are soaring in popularity.

0:29:49.280 --> 0:29:53.720
<v Speaker 2>In September alone, twenty four million people visited undressing websites.

0:29:53.760 --> 0:29:57.280
<v Speaker 2>That's according to the social network analysis company Graphica. It's

0:29:57.320 --> 0:30:01.240
<v Speaker 2>all part of a worrying trend known as deep fake pornography.

0:30:01.360 --> 0:30:04.360
<v Speaker 2>Bloomberg's Margie Murphy joins me on set with her reporting.

0:30:04.400 --> 0:30:07.760
<v Speaker 2>At the center of that reporting is also data around

0:30:08.640 --> 0:30:12.600
<v Speaker 2>the volume of advertising behind those apps and sites and

0:30:12.640 --> 0:30:14.000
<v Speaker 2>where they're being advertised.

0:30:14.400 --> 0:30:17.120
<v Speaker 13>Right, So one of the big problems here is that

0:30:17.200 --> 0:30:19.920
<v Speaker 13>these app developers are getting a load of free marketing

0:30:20.280 --> 0:30:24.200
<v Speaker 13>using social media platforms. So we saw a two four

0:30:24.280 --> 0:30:27.760
<v Speaker 13>hundred percent increase from last year according to Graphica of

0:30:28.120 --> 0:30:31.640
<v Speaker 13>referral links on x and Reddit, and you can see

0:30:31.640 --> 0:30:34.479
<v Speaker 13>if you just search keywords that are associated with these

0:30:34.560 --> 0:30:38.320
<v Speaker 13>kind of apps that the adverts pop up their accounts.

0:30:38.440 --> 0:30:41.760
<v Speaker 13>Underneath them there are pictures of women all kind of

0:30:41.840 --> 0:30:44.959
<v Speaker 13>teasing and winking at you, saying come come.

0:30:45.120 --> 0:30:47.640
<v Speaker 3>If you follow this link, you'll get to this app.

0:30:48.360 --> 0:30:51.520
<v Speaker 13>And it's just a free way for them to provide

0:30:51.560 --> 0:30:55.520
<v Speaker 13>their services. But the social networks since her reporting came out,

0:30:55.600 --> 0:30:57.680
<v Speaker 13>have said that they're cracking down on it, but it's

0:30:58.200 --> 0:31:01.200
<v Speaker 13>they've kind of had free marketing for a good year now.

0:31:01.920 --> 0:31:04.120
<v Speaker 3>I mean some of them have also paid for sponsored

0:31:04.200 --> 0:31:07.480
<v Speaker 3>content on Google's YouTube, for example, and a Google spokesperson

0:31:07.520 --> 0:31:11.640
<v Speaker 3>so the company doesn't allow ads that contain sexually explicit content.

0:31:11.760 --> 0:31:14.360
<v Speaker 3>But Margie, the also really worrying thing is a lot

0:31:14.360 --> 0:31:18.080
<v Speaker 3>of the people who are being sort of undressed don't

0:31:18.120 --> 0:31:21.920
<v Speaker 3>realize ultimately. And also, I mean, of course it's a

0:31:21.960 --> 0:31:23.920
<v Speaker 3>deep fake, so it's not actually real, but there's no

0:31:23.960 --> 0:31:26.320
<v Speaker 3>sort of legal recourse to this from a federal level

0:31:26.360 --> 0:31:26.880
<v Speaker 3>at the moment.

0:31:27.920 --> 0:31:31.080
<v Speaker 13>Absolutely, there's no federal law at the moment that prohibits

0:31:31.640 --> 0:31:36.080
<v Speaker 13>non consensual deep fake pornography. And it's something that people

0:31:36.080 --> 0:31:40.239
<v Speaker 13>I've interviewed about this research is experts in AI are

0:31:40.280 --> 0:31:43.800
<v Speaker 13>really concerned about because we've heard for years about celebrity

0:31:43.840 --> 0:31:47.720
<v Speaker 13>deep fake pornography, which is awful, but now we're really

0:31:47.720 --> 0:31:52.040
<v Speaker 13>seeing normal people becoming part of this story. BusinessWeek we

0:31:52.080 --> 0:31:56.600
<v Speaker 13>had a cover story recently about these awful story about

0:31:57.240 --> 0:32:01.760
<v Speaker 13>some high schoolers in Levittown and they were deep faked.

0:32:01.840 --> 0:32:04.280
<v Speaker 13>They actually found the person who deep faked them. But

0:32:04.760 --> 0:32:07.760
<v Speaker 13>it's just one story that I think will just keep happening,

0:32:07.800 --> 0:32:09.400
<v Speaker 13>and we're just going to see more of it because

0:32:09.400 --> 0:32:14.440
<v Speaker 13>there's no legal recourse for victims and the technology is

0:32:14.520 --> 0:32:16.080
<v Speaker 13>just kind of spiraling out of control.

0:32:16.120 --> 0:32:19.400
<v Speaker 3>Really extraordinary reporting that both you and Olivia and the

0:32:19.480 --> 0:32:21.640
<v Speaker 3>team of Bloomberg continue to do on it, Margaret Murphy,

0:32:21.680 --> 0:32:24.560
<v Speaker 3>and we thank you for breaking that particular really unnerving

0:32:24.640 --> 0:32:27.200
<v Speaker 3>story down for us. Meanwhile, sticking with the world of

0:32:27.240 --> 0:32:30.560
<v Speaker 3>social media, Elon Musk has restored the account of right

0:32:30.600 --> 0:32:35.040
<v Speaker 3>wing conspiracy theorist Alex Jones on X after users themselves

0:32:35.120 --> 0:32:38.160
<v Speaker 3>voted for his reinstatement, and of course it was what

0:32:38.360 --> 0:32:41.720
<v Speaker 3>some five years after his initial ban, Luma's Kurt Wagner

0:32:41.880 --> 0:32:44.680
<v Speaker 3>joins us for more and not only was he reinstated,

0:32:44.920 --> 0:32:48.280
<v Speaker 3>he then was well put onto the X platform. In

0:32:48.320 --> 0:32:52.000
<v Speaker 3>an audio recording with Elon Musk plus Alex Jones plus

0:32:52.200 --> 0:32:57.320
<v Speaker 3>others some lawmakers to well discuss his return. What did

0:32:57.320 --> 0:32:58.000
<v Speaker 3>you make of it all.

0:32:57.960 --> 0:33:01.840
<v Speaker 14>Cut, Yeah, this is a kind of what Elon has

0:33:01.880 --> 0:33:04.000
<v Speaker 14>been doing since he took over the company, right, is

0:33:04.040 --> 0:33:07.120
<v Speaker 14>that he's been kind of rescinding a lot of these

0:33:07.200 --> 0:33:09.880
<v Speaker 14>rules and punishments that Twitter one point zero had put out,

0:33:10.080 --> 0:33:12.600
<v Speaker 14>and not only that, but welcoming these people back with

0:33:12.640 --> 0:33:15.760
<v Speaker 14>open arms, giving them a platform. You know, by Elon

0:33:15.880 --> 0:33:18.680
<v Speaker 14>showing up on that spaces chat with Alex Jones really

0:33:18.960 --> 0:33:23.920
<v Speaker 14>you know, kind of bringing his audience along to Jones's

0:33:24.000 --> 0:33:27.040
<v Speaker 14>you know, rhetoric and message, right. And so I think

0:33:27.040 --> 0:33:29.520
<v Speaker 14>this is all part of Elon's plan to sort of

0:33:29.880 --> 0:33:34.600
<v Speaker 14>drastically change what he views as X versus Twitter and

0:33:34.640 --> 0:33:36.800
<v Speaker 14>to you know, reimagine what this company is.

0:33:36.760 --> 0:33:37.520
<v Speaker 4>Supposed to look like.

0:33:38.680 --> 0:33:42.960
<v Speaker 2>As Caro outlined, Musk did a poll, right, asked the

0:33:43.120 --> 0:33:46.520
<v Speaker 2>user base vote on this. I think it's worth reminding

0:33:46.520 --> 0:33:49.960
<v Speaker 2>our audience the origin story why Alex Jones was removed

0:33:49.960 --> 0:33:50.800
<v Speaker 2>in the first place.

0:33:51.960 --> 0:33:54.560
<v Speaker 4>Yeah, so he was banned back in twenty eighteen.

0:33:54.680 --> 0:33:59.520
<v Speaker 14>He had been a repeat rules violator under Twitter's prior management.

0:34:00.200 --> 0:34:02.200
<v Speaker 14>You know, I believe the last straw is ultimately that

0:34:02.240 --> 0:34:04.840
<v Speaker 14>he had come out and sort of attacked or been

0:34:04.920 --> 0:34:07.400
<v Speaker 14>attacking members of the media. If I recall, I think

0:34:07.400 --> 0:34:09.880
<v Speaker 14>he even said something in a video of his around

0:34:09.920 --> 0:34:12.600
<v Speaker 14>you know, get your battle rifles ready for the media, right.

0:34:12.640 --> 0:34:15.560
<v Speaker 14>And so he was banned ultimately for violating the rules

0:34:15.560 --> 0:34:20.560
<v Speaker 14>around you know, harassment and glorifying violence, and so, you know,

0:34:20.840 --> 0:34:23.480
<v Speaker 14>those are the types of things of course that Musk

0:34:23.600 --> 0:34:26.040
<v Speaker 14>has sort of said he doesn't care much about right.

0:34:26.040 --> 0:34:28.880
<v Speaker 14>As long as something is not illegal, he thinks it

0:34:28.880 --> 0:34:31.000
<v Speaker 14>should be fine. And so that's why we're seeing a

0:34:31.000 --> 0:34:32.879
<v Speaker 14>lot of these people that Twitter one point zero had

0:34:32.880 --> 0:34:35.200
<v Speaker 14>banned or punished start to return to X.

0:34:35.320 --> 0:34:38.240
<v Speaker 3>I mean, of course Elon did say I vemently disagree

0:34:38.280 --> 0:34:41.040
<v Speaker 3>with what he said about Sanny Hook, but as a

0:34:41.080 --> 0:34:43.279
<v Speaker 3>platform that believes in freedom of speech, or are we not?

0:34:43.320 --> 0:34:45.880
<v Speaker 3>But what's notable is November twenty twenty two he posted

0:34:45.920 --> 0:34:48.640
<v Speaker 3>saying and this of course is an emotive subject. For

0:34:49.000 --> 0:34:52.520
<v Speaker 3>crucially elonam anymore, his firstborn child died in his arms.

0:34:52.960 --> 0:34:55.520
<v Speaker 3>I felt this last heartbeat. I'm no mercy for anyone

0:34:55.560 --> 0:34:58.399
<v Speaker 3>who would use deaths of children for gain politics of fame.

0:34:58.480 --> 0:35:00.799
<v Speaker 3>So we sort of did in about turn. Now what's

0:35:00.800 --> 0:35:02.879
<v Speaker 3>interesting in all of this, and we make a sort

0:35:02.880 --> 0:35:05.920
<v Speaker 3>of a movement here to a different story that's occurring

0:35:05.920 --> 0:35:09.960
<v Speaker 3>on X, is that another voice has taken actually sort

0:35:10.000 --> 0:35:13.440
<v Speaker 3>of off the platform to start a different version of

0:35:13.719 --> 0:35:16.239
<v Speaker 3>subscriber growth for himself. And I just want to ask

0:35:16.280 --> 0:35:18.719
<v Speaker 3>you about Tucker Carlson. Of course, we understand he's not

0:35:19.520 --> 0:35:21.959
<v Speaker 3>launching a new news service on X, when in fact

0:35:21.960 --> 0:35:24.439
<v Speaker 3>he's doing a streaming service of his own, called Tucker

0:35:24.480 --> 0:35:27.200
<v Speaker 3>Carlson Network, and it seems as though it's he explored

0:35:27.280 --> 0:35:28.880
<v Speaker 3>launching on X but it didn't work outcut.

0:35:29.960 --> 0:35:32.400
<v Speaker 14>Yeah, well, I mean, the thing is that there's a

0:35:32.440 --> 0:35:36.000
<v Speaker 14>reason that X is not TV, right, And we saw

0:35:36.040 --> 0:35:38.359
<v Speaker 14>them try to do this. You may recall many many

0:35:38.440 --> 0:35:41.080
<v Speaker 14>years ago in twenty sixteen, they kind of tried to

0:35:41.160 --> 0:35:44.760
<v Speaker 14>make Twitter a streaming service, right, They got the NFL

0:35:44.800 --> 0:35:47.480
<v Speaker 14>on there, they got a bunch of deals with other

0:35:47.560 --> 0:35:50.440
<v Speaker 14>media publishers, and it just didn't work. And so I

0:35:50.480 --> 0:35:53.560
<v Speaker 14>think that Twitter or now X obviously usually serves best

0:35:53.560 --> 0:35:55.560
<v Speaker 14>as a compliment to TV. And my guess is that

0:35:55.640 --> 0:35:58.920
<v Speaker 14>Tucker Carlson probably figured that out himself as he was

0:35:59.360 --> 0:36:02.160
<v Speaker 14>trying to build up this new platform. And so I

0:36:02.320 --> 0:36:04.920
<v Speaker 14>have no doubt, given his relationship with Elon and the

0:36:04.960 --> 0:36:06.600
<v Speaker 14>fact that they seem to be buddy buddy, I have

0:36:06.680 --> 0:36:08.560
<v Speaker 14>no doubt that X will continue to be sort of

0:36:08.600 --> 0:36:12.839
<v Speaker 14>an important distribution channel for him. But you know, x's

0:36:12.920 --> 0:36:17.480
<v Speaker 14>nonve video or TV service, and despite Elon's ambitions, you know,

0:36:17.520 --> 0:36:19.279
<v Speaker 14>they haven't been able to turn it into one yet.

0:36:20.320 --> 0:36:22.799
<v Speaker 2>The mess Kurtwagner, good to have you back after a

0:36:22.840 --> 0:36:25.920
<v Speaker 2>few weeks and months away from the show, Kurt Wagner,

0:36:25.960 --> 0:36:37.040
<v Speaker 2>they're out in Denver, Okay. So today's going viral. We're

0:36:37.080 --> 0:36:40.920
<v Speaker 2>looking at Apple, the iPhone maker, offering incentives to artists

0:36:40.920 --> 0:36:44.960
<v Speaker 2>and record labels to produce music using a spatial audio

0:36:45.000 --> 0:36:49.000
<v Speaker 2>technology that surrounds listeners in sound. Starting next year, the

0:36:49.040 --> 0:36:52.000
<v Speaker 2>company plans to give added waiting to streams of songs

0:36:52.200 --> 0:36:56.760
<v Speaker 2>that are mixed in Dolby Atmos technology. According to Bloomberg sources,

0:36:56.800 --> 0:36:59.840
<v Speaker 2>that could mean higher royalty payments for artists who are

0:36:59.880 --> 0:37:04.120
<v Speaker 2>the first to embrace the technology made by Dolby Laboratories.

0:37:04.400 --> 0:37:08.400
<v Speaker 3>Caroline, let's stick with Apple and well turn our attention

0:37:08.480 --> 0:37:12.080
<v Speaker 3>to health to wellness. In twenty twenty four, Bloomberg reportedly

0:37:12.120 --> 0:37:15.200
<v Speaker 3>showed that Apple is planning on an updated watch that

0:37:15.200 --> 0:37:18.480
<v Speaker 3>will tech to tect potentially blood pressure, sleep, ATNA, and

0:37:18.560 --> 0:37:20.880
<v Speaker 3>much more. For us to just discuss that where we

0:37:20.920 --> 0:37:23.080
<v Speaker 3>are with wearables, where we are with digital fitness, how

0:37:23.120 --> 0:37:25.080
<v Speaker 3>we're consuming it. It's a CEO of future. It's a

0:37:25.120 --> 0:37:28.160
<v Speaker 3>company that pairs users with coaches and is backed by

0:37:28.200 --> 0:37:30.920
<v Speaker 3>investors such as Clena Perkins, Coase ad Ventures, found Us, Fun,

0:37:31.000 --> 0:37:34.200
<v Speaker 3>and many more. But please to welcome, Rishie Mandel. Great

0:37:34.239 --> 0:37:37.919
<v Speaker 3>to have you here. And ultimately we are seeing this

0:37:38.120 --> 0:37:40.640
<v Speaker 3>new type of relationship with us and our fitness and

0:37:40.680 --> 0:37:43.839
<v Speaker 3>actually knowledge of our own wellness at this moment. How

0:37:43.880 --> 0:37:46.279
<v Speaker 3>much that being driven by wearables, VR and the like.

0:37:46.560 --> 0:37:49.359
<v Speaker 1>Yeah, there's one hundred million plus wearables out there now

0:37:49.440 --> 0:37:51.760
<v Speaker 1>and better than ever.

0:37:51.719 --> 0:37:53.160
<v Speaker 7>We can understand each individual.

0:37:53.560 --> 0:37:57.040
<v Speaker 1>What's interesting is the history of health understanding in the

0:37:57.040 --> 0:38:01.840
<v Speaker 1>Western world is actually based on men recruited study small populations,

0:38:01.920 --> 0:38:04.840
<v Speaker 1>and so imagine a world where now we're getting inputs

0:38:04.880 --> 0:38:08.480
<v Speaker 1>about every individual, how women's health might change and evolve.

0:38:08.520 --> 0:38:11.240
<v Speaker 1>That's really exciting to see. As you said, the consumers

0:38:11.239 --> 0:38:14.200
<v Speaker 1>thinking a lot about health and fitness, and in an

0:38:14.200 --> 0:38:17.560
<v Speaker 1>AI world, oftentimes the biggest winners are those who have

0:38:17.640 --> 0:38:20.080
<v Speaker 1>the largest proprietary data sets. And so you think about

0:38:20.080 --> 0:38:23.920
<v Speaker 1>a company like Apple, now not just has how you're

0:38:23.960 --> 0:38:26.520
<v Speaker 1>moving through the world, and maybe blood glucose and certain

0:38:26.560 --> 0:38:30.359
<v Speaker 1>types of markers bridging across all that information can help

0:38:30.400 --> 0:38:34.120
<v Speaker 1>tailor to an individual better what they should be doing, when, why,

0:38:34.880 --> 0:38:37.920
<v Speaker 1>and then you can build really innovative delivery mechanisms on

0:38:37.960 --> 0:38:38.440
<v Speaker 1>top of that.

0:38:39.040 --> 0:38:41.839
<v Speaker 3>Yeah, I mean, I've been sort of a guinea pig

0:38:41.880 --> 0:38:44.840
<v Speaker 3>to certain extent got a wearable ring because it was

0:38:44.880 --> 0:38:47.239
<v Speaker 3>meant to be a better for women tracking cycles and

0:38:47.280 --> 0:38:49.440
<v Speaker 3>the like, But ultimately I haven't found it that good

0:38:49.440 --> 0:38:52.000
<v Speaker 3>at it. It didn't realize I had COVID. I have no

0:38:52.080 --> 0:38:54.120
<v Speaker 3>idea if the calorie content is actually true from what

0:38:54.200 --> 0:38:57.320
<v Speaker 3>I'm currently monitoring point, but I am interested in your perspective.

0:38:57.360 --> 0:39:00.719
<v Speaker 3>How many therefore are using you from women versus men?

0:39:00.760 --> 0:39:03.560
<v Speaker 3>What are the demographics who are coming to your platform

0:39:03.640 --> 0:39:06.680
<v Speaker 3>when wanting this one on one sort of service at

0:39:06.719 --> 0:39:07.360
<v Speaker 3>the moment.

0:39:07.200 --> 0:39:09.400
<v Speaker 1>Yeah, no, And I love what you're talking about about

0:39:09.440 --> 0:39:12.279
<v Speaker 1>the lack of accuracy or frankly, a lot of that

0:39:12.360 --> 0:39:14.320
<v Speaker 1>data is just hard to parse through on your own.

0:39:14.400 --> 0:39:18.240
<v Speaker 1>So with future, we match every single person with a coach.

0:39:18.760 --> 0:39:21.919
<v Speaker 1>Now that coach is AI assisted able to sift through

0:39:21.920 --> 0:39:24.560
<v Speaker 1>so much data, not because they're manually doing it, but

0:39:24.680 --> 0:39:28.280
<v Speaker 1>rather we've built some technology to allow them to spot trends,

0:39:28.680 --> 0:39:33.120
<v Speaker 1>interpret different markers about you. And so right now what

0:39:33.160 --> 0:39:36.480
<v Speaker 1>we see is a lot of AI is rudimentary in health,

0:39:36.920 --> 0:39:38.600
<v Speaker 1>and what we're going to see over the next five

0:39:38.680 --> 0:39:42.000
<v Speaker 1>years I think is an explosion of this idea of

0:39:42.040 --> 0:39:45.840
<v Speaker 1>augmented intelligence taking your physician and making sure they're backed

0:39:45.880 --> 0:39:49.120
<v Speaker 1>by the latest and greatest armed with that information, taking

0:39:49.120 --> 0:39:52.000
<v Speaker 1>a radiologist, maybe double checking a scan to make sure

0:39:52.000 --> 0:39:52.880
<v Speaker 1>they don't miss something.

0:39:53.120 --> 0:39:54.399
<v Speaker 7>But there's still that human there.

0:39:54.760 --> 0:39:57.440
<v Speaker 1>And with Future, that's what we see is with fitness,

0:39:57.440 --> 0:39:58.280
<v Speaker 1>we give you a coach.

0:39:58.680 --> 0:40:00.400
<v Speaker 7>That coach is highly assisted.

0:40:00.040 --> 0:40:03.680
<v Speaker 1>And building your program, your training program, whether you're running outside,

0:40:03.760 --> 0:40:05.919
<v Speaker 1>working out in a gym, at home, or all three,

0:40:06.000 --> 0:40:08.600
<v Speaker 1>which is very common. And then we actually use a

0:40:08.640 --> 0:40:10.759
<v Speaker 1>lot of AI to help augment for that coach. What's

0:40:10.760 --> 0:40:13.520
<v Speaker 1>hav a day to reach out to Caroline and what's

0:40:13.520 --> 0:40:15.120
<v Speaker 1>the right thing to say and what are the trends

0:40:15.160 --> 0:40:17.720
<v Speaker 1>that we're observing. That augmentation I think is really powerful.

0:40:17.960 --> 0:40:19.880
<v Speaker 1>And to answer your question, it's about fifty to fifty

0:40:19.880 --> 0:40:21.960
<v Speaker 1>men and women who reach out to get a coach

0:40:22.000 --> 0:40:22.480
<v Speaker 1>on future.

0:40:23.200 --> 0:40:24.360
<v Speaker 4>Hey, Ritchie, real quick.

0:40:25.200 --> 0:40:27.279
<v Speaker 2>Is it fitness that's going to be the driver of

0:40:27.280 --> 0:40:30.960
<v Speaker 2>wearables adoption or is it health data that's going to

0:40:30.960 --> 0:40:31.880
<v Speaker 2>be the principal driver?

0:40:32.160 --> 0:40:35.520
<v Speaker 1>You know, the reason we started with fitness is because

0:40:35.719 --> 0:40:42.640
<v Speaker 1>there is a daily and very common interaction with fitness.

0:40:42.640 --> 0:40:45.400
<v Speaker 1>People typically who are engaging with it are doing it

0:40:45.560 --> 0:40:48.920
<v Speaker 1>daily weekly. That kind of cadence. And what I was

0:40:48.960 --> 0:40:51.399
<v Speaker 1>saying earlier is the biggest winners in an AI world

0:40:51.400 --> 0:40:54.400
<v Speaker 1>are those We have the largest proprietary data sets, and

0:40:54.480 --> 0:40:57.040
<v Speaker 1>so when we interact with a member every single day,

0:40:57.320 --> 0:40:59.879
<v Speaker 1>we can come to understand their life in a fulsome way.

0:41:00.280 --> 0:41:03.279
<v Speaker 1>Our average member will trade three text messages every single

0:41:03.320 --> 0:41:05.799
<v Speaker 1>day with their coach one thousand a year. Lay that

0:41:05.920 --> 0:41:08.440
<v Speaker 1>on top of the biometrics we get from wearables. Lay

0:41:08.440 --> 0:41:10.719
<v Speaker 1>that on top of the understanding of your behaviors, and

0:41:10.800 --> 0:41:12.440
<v Speaker 1>now you have a really big picture.

0:41:12.800 --> 0:41:15.480
<v Speaker 3>Rishi Mandaw wish we had longer future CEO there. That

0:41:15.760 --> 0:41:20.319
<v Speaker 3>is it from this edition of Bloomberg Technology