WEBVTT - Binance Accused of Lying to Congress, TikTok's E-Commerce Ambitions

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<v Speaker 1>From Marhart where Innovation, Money and Power Collie in Silicon Valley, NBN.

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<v Speaker 1>This is Bloomberg Technology with Caroline Hyde and Ed loved Love.

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<v Speaker 2>I'm Caroline hide A Bloomberg's World Headquarters in New York

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<v Speaker 2>and Aurmed Ludlow in San Francisco.

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<v Speaker 3>This is Bloomberg Technology.

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<v Speaker 2>Coming up, we talk all things crypto from where venture

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<v Speaker 2>capital flows aheaded to a letter from lawmakers accusing finance

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<v Speaker 2>am lying to Congress. We'll have more ahead.

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<v Speaker 4>Plus we'll discuss TikTok's e commerce ambitions as the company

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<v Speaker 4>eyes a twenty billion dollar opportunity in the face of

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<v Speaker 4>regulatory scrutiny.

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<v Speaker 2>And of course we've got to talk Generator of AI

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<v Speaker 2>with the CEO of a platform that helps revenue teams

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<v Speaker 2>boost the productivity. It's all about increasing sales growth. More

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<v Speaker 2>to come when it comes to the private market. Let's

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<v Speaker 2>focus in on the public markets, because today bad news

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<v Speaker 2>is good news. Today the job was claims are raging

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<v Speaker 2>up higher the fastest in October twenty twenty one. That

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<v Speaker 2>cooling of what is a very strong labor market in

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<v Speaker 2>the US maybe boding well in terms of inflation, new pressures.

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<v Speaker 2>What the federal reserve has to do to just calm

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<v Speaker 2>down a very well, shall we say, too fiercely hot

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<v Speaker 2>economy in the US. We're seeing up one point two

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<v Speaker 2>percent on then as that one hundred as people hope

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<v Speaker 2>maybe we don't have to high crates as fast as

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<v Speaker 2>we had to. Two year yield therefore comes down in

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<v Speaker 2>terms of six basis points on the front end of

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<v Speaker 2>the curve. And actually we're seeing growth in other economies

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<v Speaker 2>dollar week of versus the Japanese yen because Japan's economy

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<v Speaker 2>grow faster than was previously expected. So this is the

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<v Speaker 2>macro picture. Let's go into one key risk sentiment though

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<v Speaker 2>for US, and then is the world of crypto. We're

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<v Speaker 2>actually pushing on higher. Maybe the bad news is conducing

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<v Speaker 2>the world of bitcoin. Int the moment, we're up one

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<v Speaker 2>point three percent, but still just in that training range.

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<v Speaker 2>We're locked at twenty six seven hundred at the moment

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<v Speaker 2>this as we really do have that regulatory overhang ed.

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<v Speaker 2>But I know you're digging into maybe some more of

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<v Speaker 2>the smaller cap names that are already moving today.

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<v Speaker 4>Yeah, it's interesting that then as that one hundred and

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<v Speaker 4>marches on tech, A big driver of that there is

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<v Speaker 4>newsflow driving different names. Amazon moving up to the upside

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<v Speaker 4>three percent, one of the best performers, a top pick

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<v Speaker 4>at Wells Fargo and margin View. Amazon's price target also

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<v Speaker 4>raised at UBS on its AI benefits going through to

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<v Speaker 4>the cloud division. Game stop moving to the downside. The

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<v Speaker 4>CEO's gone and they missed on sales. We're going to

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<v Speaker 4>bring you more details later in the program on that.

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<v Speaker 4>Lucid now actually just modestly higher up two tents of percent.

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<v Speaker 4>Had been markedly higher earlier in the session. Reuter's reporting

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<v Speaker 4>that Lucid is going to move into the Chinese EV market,

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<v Speaker 4>and then Adobe AIAIAI Generative AI subscription, boosting the sock

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<v Speaker 4>by about five percent. I think it's at an August high.

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<v Speaker 4>We will bring you the details of that later in

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<v Speaker 4>the program as well. I'm also continuing to look at coinbase,

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<v Speaker 4>look at shares of coinbas We're up for a second

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<v Speaker 4>straight session since the sec sued Coinbase, accusing them of

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<v Speaker 4>securities laws breaches. We're up one percent at the moment.

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<v Speaker 3>Of course.

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<v Speaker 4>Brian Armstrong, CEO, was on the show twenty four hours

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<v Speaker 4>ago giving Coinbases defense, talking about why he's happy to

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<v Speaker 4>go to courts and establish a baseline through the courts

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<v Speaker 4>on how crypto exchanges should be governed in this country

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<v Speaker 4>and also internationally. And we're going to dig deep into

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<v Speaker 4>what's going on in this sector throughout the show.

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<v Speaker 2>Character Yeah, let's talk about a different, different crypto exchange,

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<v Speaker 2>a global one. Because parasenate Democrats, they're wanting the Justice

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<v Speaker 2>Department to investigate whether Binance lied to lawmakers about its

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<v Speaker 2>business practices. We in fact both with Senator Elizabeth Warren earlier,

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<v Speaker 2>Let's just have a listen.

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<v Speaker 5>It is a crime to lie to Congress, and we

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<v Speaker 5>have gotten information from Binance. They've given answers to me

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<v Speaker 5>and to others in Congress that seem to be entirely

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<v Speaker 5>inconsistent with now what the now what the SEC is

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<v Speaker 5>charging that Binance has done, and I want the Justice

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<v Speaker 5>Department to take a look. If they lied to Congress,

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<v Speaker 5>they need to be held accountable.

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<v Speaker 2>We of course are out for comment from Binance, but

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<v Speaker 2>this news is all in the back of the SEC

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<v Speaker 2>suing the company and it's co found of cz joining

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<v Speaker 2>us now is a host co host of lumost Cryptos.

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<v Speaker 2>Kaylie Lynes in the building here and new coming been

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<v Speaker 2>helping with the Bloomberg invest event and so important to

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<v Speaker 2>have you here because what a week for crypto And

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<v Speaker 2>why do we think we're hearing from these particular senators,

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<v Speaker 2>what do they want done?

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<v Speaker 6>Well, what Senator Warren as well as Senator Chris van Holland,

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<v Speaker 6>another Democrat from Maryland want is for the Justice Department

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<v Speaker 6>to look into this matter. Basically, this all comes down

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<v Speaker 6>to the question of whether binance Us actually operated independently

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<v Speaker 6>for biness dot com.

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<v Speaker 2>The global entity.

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<v Speaker 6>That is what Elizabeth Warren and Senator Van Holland want

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<v Speaker 6>to find out. But that also is included in the

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<v Speaker 6>allegations made by both the SEC and the CFTC in

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<v Speaker 6>their lawsuit from several months ago, allegations that these were

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<v Speaker 6>not in fact operating as separate entities. Of course, in

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<v Speaker 6>the SEC lawsuit against the company and cz there's also

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<v Speaker 6>a bevy of other charges wash trading, misleading customers, co

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<v Speaker 6>mingling funds improperly, all of that. But what is important

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<v Speaker 6>to is when the regulators put these cases forward, these

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<v Speaker 6>are civil charges. When senators are asking the Justice Department

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<v Speaker 6>to look into something like perjury, that could actually be

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<v Speaker 6>a criminal charge.

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<v Speaker 2>The point being though, that who's responsible for this CZ

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<v Speaker 2>at the moment. I mean, he's out in the Middle East.

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<v Speaker 2>He of course has various bank accounts. We seem to

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<v Speaker 2>go unto stand as well that money is flowing, and

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<v Speaker 2>I know Ed wants to get to that in a moment,

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<v Speaker 2>But I mean, what about the leadership of you finance

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<v Speaker 2>US ultimately.

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<v Speaker 6>Well, that's a really good question because again it was

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<v Speaker 6>supposed to be operating independently. A lot of pushback against

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<v Speaker 6>that notion has been placed on the part of regulators

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<v Speaker 6>and lawmakers as well. But the role of z is

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<v Speaker 6>interesting because as you said, he is in the Middle

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<v Speaker 6>East at the moment. There is also another DOJ investigation

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<v Speaker 6>on going into potential sanctions violations. It would become a

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<v Speaker 6>question of whether there actually was something brought to the DOJ,

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<v Speaker 6>what potentially extradition might look like. So there's a lot

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<v Speaker 6>of questions around the individual. In addition to the broader exchange,

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<v Speaker 6>which of course is the biggest in the way world,

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<v Speaker 6>and when the Justice Department is asking for a freeze

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<v Speaker 6>of Binance US assets, we also have to keep in

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<v Speaker 6>mind how this ultimately could impact the broader system.

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<v Speaker 4>Overnight, Kathywood joined our colleagues over in Asia on that programming,

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<v Speaker 4>and as we know, she's been adding to the holdings

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<v Speaker 4>of Coinbase. This is what she had to say about

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<v Speaker 4>the breadth of this situation, Kayley.

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<v Speaker 7>And it is unfortunate that the SEC took action against

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<v Speaker 7>Coinbase the day after Binance and then seemed to mud

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<v Speaker 7>Chairman Genzler as he was on one of the major

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<v Speaker 7>news channels, was trying to implicate Coinbase in the same

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<v Speaker 7>way that he was implicating Binance. No, they're very different.

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<v Speaker 4>You know, So we remind ourselves that in the same

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<v Speaker 4>week the SEC sued both Coinbase and Binance. Interesting Brian

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<v Speaker 4>Armstrong's comments twenty four hours ago that he felt the

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<v Speaker 4>timing was relating to conflating two different seats.

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<v Speaker 6>Yeah, and we have to keep in mind, as you

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<v Speaker 6>rightly allude to, that the Binance allegations from the SEC

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<v Speaker 6>are far wider ranging. Both were accused of violating securities laws.

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<v Speaker 6>But that really is that in the staking product is

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<v Speaker 6>what Coinbase was facing, so that it becomes just a

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<v Speaker 6>definition question about what is and isn't a security and

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<v Speaker 6>ultimately the jurisdiction of the SEC. And as we talk

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<v Speaker 6>about interesting timing, I was on Capitol Hill on Tuesday

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<v Speaker 6>at the House Agriculture Committee, which was holding a hearing

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<v Speaker 6>on the market structure legislation that has been put forward

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<v Speaker 6>by that committee and House Financial Services to try and

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<v Speaker 6>delineate jurisdiction between the CFTC and having control of digital

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<v Speaker 6>commodities and the SEC when it comes to digital securities.

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<v Speaker 6>And many of the lawmakers I spoke with at that

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<v Speaker 6>hearing suggested that the timing was interesting, and one of them,

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<v Speaker 6>Congressman Zach Nunn, a Republican, was saying that it seems

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<v Speaker 6>like Gary Gensler is trying to empire build and suggesting

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<v Speaker 6>that he's trying to front run Congress actually setting the

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<v Speaker 6>rules of the road by taking all of.

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<v Speaker 4>This action at this time, Kaylee, this is Bloomberg. We

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<v Speaker 4>follow the money. It's interesting to join the dots of

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<v Speaker 4>twenty twenty three. I think back to silver Gate and

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<v Speaker 4>Signature Bank and Bloomberg reporting that there is a seventy

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<v Speaker 4>billion dollar trail as it relates to Binance and those

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<v Speaker 4>two banks.

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<v Speaker 6>Yeah, as we know these banks that are no longer

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<v Speaker 6>in existence, both of them failed earlier this spring. Silvergate

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<v Speaker 6>was really the first one. This was a bank that

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<v Speaker 6>catered largely too crypto clients, and we now understand via

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<v Speaker 6>an SEC filing that was actually filed in support of

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<v Speaker 6>the motion to freeze the assets of Binance US, that

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<v Speaker 6>seventy billion dollars, as you say d was funneled through

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<v Speaker 6>both Silvergate and Signature Bank by Binance and related equities.

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<v Speaker 6>I believe it was fifty billion dollars of deposits at

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<v Speaker 6>Silvergate and then in another nineteen that Signature handled including

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<v Speaker 6>large amount of large amounts of money moving in a

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<v Speaker 6>couple of days periods. So it's unclear whether or not

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<v Speaker 6>those banks actually flagged some of those transactions or not.

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<v Speaker 6>But this is, as you say, just kind of following

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<v Speaker 6>the money trail of this as the SEC puts forward

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<v Speaker 6>these allegations and.

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<v Speaker 4>Asks for that in junction Bloomberg's kdie lines visit kiting

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<v Speaker 4>us from DC in New York.

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<v Speaker 3>Thank you very much.

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<v Speaker 8>There's plenty of innovation that we could point to and

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<v Speaker 8>say there's an enormous opportunity to have like another industrial revolution,

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<v Speaker 8>it just might be more of a digital revolution and

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<v Speaker 8>a science revolution that could unleash a lot of productivity.

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<v Speaker 8>But we need something to get more growth in the

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<v Speaker 8>economy that will allow us to deal with some of

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<v Speaker 8>the challenges we're going to finish.

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<v Speaker 2>John Walden common Sach speaking earlier on look the artificial

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<v Speaker 2>intelligence revolution that we keep discussing. He was talking about

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<v Speaker 2>at a Bloomberg invest and it follows interesting comments yesterday

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<v Speaker 2>from Stanley Druckenmiller, also at our Bloomberg Investor bent, who said,

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<v Speaker 2>unlike crypto, AI is real. So what does that mean

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<v Speaker 2>about crypto? We actually asked our audience you took to

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<v Speaker 2>our poll yesterday, does AI have more staying power than crypto?

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<v Speaker 2>I was amazed at kind of how neck and neck

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<v Speaker 2>everything was staying power thirty nine thirty seven sent many

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<v Speaker 2>will fail too early to tell, so it doesn't feel

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<v Speaker 2>like artificial telli just as neeps and bounds ahead of

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<v Speaker 2>crypto staying pier. Let's ask one Hannah Miller, who on

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<v Speaker 2>visa say is also visiting New York because you've got

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<v Speaker 2>a great new podcast on the downfall of FTX. Meanwhile,

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<v Speaker 2>though the downfall of crypto, I mean, is crypto showing resilience?

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<v Speaker 2>I mean, it's interesting that Bitcoin actually hasn't been marred

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<v Speaker 2>too much in some of the pushback from an SEC

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<v Speaker 2>level Yeah.

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<v Speaker 9>We've seen some resilience here, and there are obviously founders

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<v Speaker 9>in vcs who are still very confident in crypto. We

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<v Speaker 9>have seen this shift though, where some crypto founders and

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<v Speaker 9>even some crypto vcs are diving more into the intersection

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<v Speaker 9>between crypto and AI.

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<v Speaker 10>So that's been really exciting to track.

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<v Speaker 2>Okay, course they are, and I remember that sort of

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<v Speaker 2>meme that everyone's suddenly an AI expert now and leaving crypto.

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<v Speaker 2>But what is the intersection? Where are we seeing value

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<v Speaker 2>being created? People getting excited?

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<v Speaker 9>Yeah, So people see a lot of promise in using

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<v Speaker 9>blockchain for identity. So there's a startup called Tools for Humanity,

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<v Speaker 9>which was co founded by Sam Altman. They developed world Coin,

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<v Speaker 9>which they say will provide proof of personhood that you

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<v Speaker 9>can use this black team based identity to show that

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<v Speaker 9>you are indeed human. So that's been very interesting. They

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<v Speaker 9>also scan your eyeballs in order to create this identity.

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<v Speaker 2>So a lot of mixed concerns about that. Actually was

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<v Speaker 2>an n A sixteen zite event in New York and

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<v Speaker 2>sool someone with the helmet on from world coin.

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<v Speaker 9>Yeah, there are our concerns about the sensitivity of this

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<v Speaker 9>biometric data.

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<v Speaker 2>Is it safe? Is it being protected?

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<v Speaker 9>So you know, I think we do see some of

0:11:24.840 --> 0:11:29.240
<v Speaker 9>the ethical concerns within AI bleeding over into the intersection

0:11:29.280 --> 0:11:30.800
<v Speaker 9>between AI and crypto.

0:11:30.960 --> 0:11:33.840
<v Speaker 2>But for now both still being eyed up by vcs.

0:11:33.880 --> 0:11:36.560
<v Speaker 2>Hannah Miller is across it all and that intersection. But

0:11:36.640 --> 0:11:38.240
<v Speaker 2>let's just pivot back a little bit more to the

0:11:38.240 --> 0:11:40.440
<v Speaker 2>world of crypto because it has been done the pressure,

0:11:40.480 --> 0:11:42.040
<v Speaker 2>certainly from a regulatory perspective.

0:11:42.440 --> 0:11:44.959
<v Speaker 4>Yeah, I actually am envious of Hannah Miller because that's

0:11:45.000 --> 0:11:47.439
<v Speaker 4>a great beat to have because everyone that was pummeling

0:11:47.480 --> 0:11:51.160
<v Speaker 4>money into that space is just pivoted. So we are

0:11:51.200 --> 0:11:54.920
<v Speaker 4>reporting good guests to talk about that with Chris Lahane Hahn,

0:11:55.040 --> 0:11:59.320
<v Speaker 4>Venture's chief strategy officer, but also a member of coinbases

0:11:59.320 --> 0:12:00.640
<v Speaker 4>Global Advice Recouncil.

0:12:00.720 --> 0:12:01.520
<v Speaker 3>So let's start there.

0:12:01.559 --> 0:12:04.400
<v Speaker 4>Actually, it is the story of the week, the sec

0:12:04.520 --> 0:12:10.520
<v Speaker 4>suing coinbase, alleging securities breaches. What does your role entail

0:12:10.640 --> 0:12:12.760
<v Speaker 4>as an advisory member to the global boards?

0:12:12.800 --> 0:12:15.679
<v Speaker 11>So thanks for having me as always, so coinbase has

0:12:15.720 --> 0:12:16.880
<v Speaker 11>stood up and announced and.

0:12:17.240 --> 0:12:18.480
<v Speaker 10>Global advisory board.

0:12:18.480 --> 0:12:23.000
<v Speaker 11>It's bipartisan, has Democrats and Republicans, it's global. You know,

0:12:23.120 --> 0:12:25.480
<v Speaker 11>my specific roles, I have a bit of a background

0:12:26.440 --> 0:12:30.680
<v Speaker 11>of having worked with disruptive, innovative companies trying to work

0:12:30.760 --> 0:12:34.679
<v Speaker 11>within the system in a responsible way to bring regulatory

0:12:34.720 --> 0:12:36.000
<v Speaker 11>certainty and clarity.

0:12:36.040 --> 0:12:37.840
<v Speaker 3>People also call you a political operator.

0:12:38.000 --> 0:12:40.679
<v Speaker 11>Well, that's another way of maybe putting it, But politics

0:12:40.760 --> 0:12:44.120
<v Speaker 11>is always part of that, you know, ultimately, you know,

0:12:44.160 --> 0:12:47.440
<v Speaker 11>we live in a democracy, small d democracy. Politics does

0:12:47.640 --> 0:12:51.480
<v Speaker 11>ultimately impact as it should and inform policy, which ultimately

0:12:51.520 --> 0:12:55.120
<v Speaker 11>brings regulatory certainty. And so a lot of what I've

0:12:55.160 --> 0:12:57.240
<v Speaker 11>done over my career, I've been in government, I've run

0:12:57.400 --> 0:13:01.760
<v Speaker 11>major campaigns, and I've certainly advised really innovative companies that

0:13:01.800 --> 0:13:04.440
<v Speaker 11>are disrupting their status quo, but how can they do

0:13:04.440 --> 0:13:07.319
<v Speaker 11>that in a really responsible way? And I think Coinbase

0:13:07.800 --> 0:13:11.040
<v Speaker 11>in the crypto space has been really that leading platform

0:13:11.440 --> 0:13:13.920
<v Speaker 11>seeking to do it in a responsible way, US based

0:13:14.440 --> 0:13:18.400
<v Speaker 11>going through the processes, working with regulators. It's disruptive, it's

0:13:18.400 --> 0:13:20.959
<v Speaker 11>trying to update the financial system. That's a big deal,

0:13:21.200 --> 0:13:23.240
<v Speaker 11>but it's trying to really do it in a responsible way.

0:13:23.800 --> 0:13:26.600
<v Speaker 4>Brian Armstrong twenty four hours ago, was asked about the

0:13:26.640 --> 0:13:30.640
<v Speaker 4>timing of the SEC filing suits against both Coinbase and

0:13:30.760 --> 0:13:34.280
<v Speaker 4>Finance in the matter of forty eight hours The word

0:13:34.320 --> 0:13:38.320
<v Speaker 4>he used was conflate or confuse. What's your reaction to

0:13:38.360 --> 0:13:40.079
<v Speaker 4>the timing of those two actions.

0:13:40.080 --> 0:13:41.679
<v Speaker 11>So I grew up in Maine, and we used to

0:13:41.760 --> 0:13:43.280
<v Speaker 11>have a saying when you go to bed at night

0:13:43.320 --> 0:13:45.640
<v Speaker 11>and there's no snow on the ground, and you wake

0:13:45.679 --> 0:13:47.680
<v Speaker 11>up in the morning there's snow, you can pretty safely

0:13:47.679 --> 0:13:50.000
<v Speaker 11>conclude it has snowed over the course of the evening.

0:13:50.559 --> 0:13:53.319
<v Speaker 10>This is a sort of policy version of that.

0:13:53.400 --> 0:13:56.440
<v Speaker 11>I think members of Congress, both Democrats and Republicans, have

0:13:56.559 --> 0:13:59.600
<v Speaker 11>expressed concern about the timing of this. And I'll say

0:13:59.600 --> 0:14:02.880
<v Speaker 11>this as someone who has been in government historically in

0:14:02.880 --> 0:14:08.160
<v Speaker 11>this country, our regulators that oversee financial sectors have been

0:14:08.240 --> 0:14:11.920
<v Speaker 11>understood and really by design to be fair arbiterras, to

0:14:11.960 --> 0:14:15.400
<v Speaker 11>be umpires, to call balls and strikes. And I do

0:14:15.440 --> 0:14:17.640
<v Speaker 11>think if you look at how this played out this week,

0:14:17.640 --> 0:14:21.080
<v Speaker 11>taking something as apples and something that's oranges, conflating them

0:14:21.120 --> 0:14:23.960
<v Speaker 11>and putting them together, and doing it right before there's

0:14:23.960 --> 0:14:27.240
<v Speaker 11>a major congressional hearing to actually begin the process of

0:14:27.280 --> 0:14:30.280
<v Speaker 11>bringing clarity to this space, I do think that raises

0:14:30.320 --> 0:14:34.400
<v Speaker 11>some serious, profound questions, like our system works because there

0:14:34.480 --> 0:14:36.080
<v Speaker 11>is a rule of law part of that rule of

0:14:36.160 --> 0:14:39.000
<v Speaker 11>law is those umpires calling those walls and strikes fairly,

0:14:39.600 --> 0:14:41.840
<v Speaker 11>I think in this process and real serious questions have

0:14:41.840 --> 0:14:42.280
<v Speaker 11>been raised.

0:14:42.400 --> 0:14:44.640
<v Speaker 3>Okay, so rules yep.

0:14:44.840 --> 0:14:47.720
<v Speaker 4>I remember two years ago when coin based file to

0:14:47.760 --> 0:14:50.360
<v Speaker 4>go public, it wrote in no uncertain terms there is

0:14:50.400 --> 0:14:53.920
<v Speaker 4>a high degree of uncertainty regarding the legality of operations.

0:14:53.960 --> 0:14:57.720
<v Speaker 4>It wrote, regulators may disagree with the company's view, it

0:14:57.760 --> 0:14:58.680
<v Speaker 4>isn't covered.

0:14:58.360 --> 0:14:59.240
<v Speaker 3>By their rules.

0:15:00.080 --> 0:15:02.720
<v Speaker 4>Armstrong's welcoming the opportunity to go to cool and use

0:15:02.760 --> 0:15:06.560
<v Speaker 4>that tossess precedent. Is that a good idea, a good

0:15:06.600 --> 0:15:07.760
<v Speaker 4>way of resolving this.

0:15:08.160 --> 0:15:09.680
<v Speaker 11>You know, ultimately you're going to have to break the

0:15:09.720 --> 0:15:11.440
<v Speaker 11>eggs a little bit to make the omelet on this.

0:15:11.520 --> 0:15:13.400
<v Speaker 11>I think as part of this process and part of

0:15:13.440 --> 0:15:16.240
<v Speaker 11>the journey, and so I do think one way or

0:15:16.280 --> 0:15:19.280
<v Speaker 11>the other, either through the legal process or through legislation,

0:15:19.840 --> 0:15:20.680
<v Speaker 11>you are going to get.

0:15:20.520 --> 0:15:22.360
<v Speaker 3>Clarity into which is better to look.

0:15:22.640 --> 0:15:24.760
<v Speaker 11>In my view as someone who comes out of politics

0:15:24.800 --> 0:15:27.520
<v Speaker 11>and policy, Like the countries, you have a first principles approach,

0:15:27.880 --> 0:15:29.960
<v Speaker 11>right there should be a strategic approach to how you

0:15:30.000 --> 0:15:32.160
<v Speaker 11>want to deal with this industry. The rest of the

0:15:32.200 --> 0:15:34.840
<v Speaker 11>world is actually moving forward really fast.

0:15:34.880 --> 0:15:36.040
<v Speaker 10>To put frameworks in place.

0:15:36.080 --> 0:15:39.600
<v Speaker 11>They specifically want to be crypto hubs because they understand

0:15:39.600 --> 0:15:40.760
<v Speaker 11>that this is going to be a big part of

0:15:40.800 --> 0:15:42.120
<v Speaker 11>the financial rails.

0:15:42.120 --> 0:15:42.800
<v Speaker 10>Of the future.

0:15:42.960 --> 0:15:45.720
<v Speaker 11>If you default to a legal process, companies like coinbase

0:15:45.720 --> 0:15:48.360
<v Speaker 11>will certainly get their clarity. Remember this involves twelve tokens

0:15:48.360 --> 0:15:50.800
<v Speaker 11>out of more than two hundred that the platform has

0:15:50.840 --> 0:15:51.760
<v Speaker 11>on its exchange.

0:15:51.760 --> 0:15:53.120
<v Speaker 10>But you'll get the clarity through that.

0:15:53.400 --> 0:15:55.960
<v Speaker 11>I think it's far better from a US perspective, from

0:15:55.960 --> 0:15:59.960
<v Speaker 11>an economic competitive perspective, from a national security.

0:16:00.240 --> 0:16:02.880
<v Speaker 10>Of if you're actually doing this with a real strategy.

0:16:02.920 --> 0:16:05.040
<v Speaker 11>Look, I was involved in the nineteen ninety six TAELC

0:16:05.200 --> 0:16:07.840
<v Speaker 11>Act that began with a really whole.

0:16:07.640 --> 0:16:08.960
<v Speaker 10>Set of complex ideas.

0:16:09.200 --> 0:16:11.280
<v Speaker 11>President Bill Clinton took a big step back and said, hey,

0:16:11.320 --> 0:16:14.640
<v Speaker 11>look at let's have a first principle's approach. I want

0:16:14.760 --> 0:16:17.160
<v Speaker 11>tech to be based in the United States. That's what

0:16:17.280 --> 0:16:19.960
<v Speaker 11>I want, and he put forth legislation and they've done

0:16:20.000 --> 0:16:21.080
<v Speaker 11>in a bipartisan way.

0:16:21.440 --> 0:16:24.000
<v Speaker 10>You flash forward to where we are today. The US has.

0:16:23.920 --> 0:16:27.400
<v Speaker 11>Emerged as the center of the global economy because we

0:16:27.440 --> 0:16:28.480
<v Speaker 11>are the center of tech.

0:16:28.560 --> 0:16:33.200
<v Speaker 4>Well, paradoxically, emphasis on the word global in your advisory type.

0:16:33.520 --> 0:16:37.400
<v Speaker 4>So how does coinbase grow itself outside of the jurisdiction

0:16:37.440 --> 0:16:39.200
<v Speaker 4>of the United States, to your mind, I mean, what

0:16:39.200 --> 0:16:40.720
<v Speaker 4>are you advising them to do well.

0:16:40.720 --> 0:16:42.880
<v Speaker 11>I think they've been doing a great job of diversifying

0:16:42.880 --> 0:16:46.280
<v Speaker 11>where they are geographically as well as their products and services. No,

0:16:46.440 --> 0:16:48.160
<v Speaker 11>Brian has done a little bit of a world toward

0:16:48.160 --> 0:16:51.200
<v Speaker 11>Brian Armstrong, the CEO, over the last couple of months,

0:16:51.480 --> 0:16:55.320
<v Speaker 11>was in London, has been in Dubai, Companiess been in Brazil.

0:16:55.520 --> 0:16:58.640
<v Speaker 11>These are all places that are actually putting frameworks in place.

0:16:58.680 --> 0:17:01.480
<v Speaker 11>I mean, the UK has an announcement today about the

0:17:01.560 --> 0:17:04.880
<v Speaker 11>next steps in its process. The PM has made clear

0:17:04.960 --> 0:17:07.280
<v Speaker 11>Prime Minister sou Neck has made clear he wants London

0:17:07.640 --> 0:17:10.080
<v Speaker 11>to be a hub. You think of the historic rails

0:17:10.080 --> 0:17:13.760
<v Speaker 11>that have existed in London historically, going back several hundred years.

0:17:13.960 --> 0:17:16.960
<v Speaker 11>One of the first central banks was developed in London,

0:17:17.200 --> 0:17:20.000
<v Speaker 11>the Bank of England, and you think of the Commonwealth

0:17:20.040 --> 0:17:22.840
<v Speaker 11>and the role that that crypto could play in actually

0:17:23.240 --> 0:17:27.040
<v Speaker 11>advancing that system. Like I think Sunek actually sees enormous

0:17:27.080 --> 0:17:28.040
<v Speaker 11>opportunity here and.

0:17:28.000 --> 0:17:30.080
<v Speaker 10>Has talked about it. But that's not the only place.

0:17:30.160 --> 0:17:33.679
<v Speaker 11>Japan this week actually moved forward with specific regulations and

0:17:33.760 --> 0:17:36.560
<v Speaker 11>activity and again, so you see what is happening. There

0:17:36.600 --> 0:17:39.720
<v Speaker 11>was a recent report from Electric Capital, another venture firm

0:17:39.760 --> 0:17:42.400
<v Speaker 11>here in the valley, and they indicated that the US

0:17:42.480 --> 0:17:46.600
<v Speaker 11>is losing market share of crypto developers. A million jobs,

0:17:46.640 --> 0:17:48.840
<v Speaker 11>high quality engineering jobs on the table in the next

0:17:48.880 --> 0:17:50.840
<v Speaker 11>five or six years. Are they going to take place

0:17:50.880 --> 0:17:52.760
<v Speaker 11>here or we're gonna send that offshore?

0:17:53.000 --> 0:17:54.600
<v Speaker 10>And look, just this week it was.

0:17:54.560 --> 0:17:58.359
<v Speaker 11>An interesting week for US at Han we announced a

0:17:58.359 --> 0:18:00.920
<v Speaker 11>project or a project that we're invested. It was announced

0:18:01.520 --> 0:18:03.920
<v Speaker 11>it's called Argus Labs, just the first sort of computer

0:18:04.040 --> 0:18:08.600
<v Speaker 11>gaming club platform bailt on top of blockchain. The founder

0:18:08.600 --> 0:18:11.000
<v Speaker 11>of this is a young twenty year old came from

0:18:11.040 --> 0:18:14.000
<v Speaker 11>Indonesia to age of sixteen to the University of California

0:18:14.040 --> 0:18:17.800
<v Speaker 11>computer science program, graduated really early. Like he is literally

0:18:17.840 --> 0:18:20.040
<v Speaker 11>the first round pick that you want if you're a kind.

0:18:19.880 --> 0:18:21.160
<v Speaker 3>Of where is he in one word?

0:18:21.160 --> 0:18:24.000
<v Speaker 11>And he's here in the United States building this project,

0:18:24.119 --> 0:18:25.960
<v Speaker 11>right and he should be. This is we want to

0:18:25.960 --> 0:18:28.760
<v Speaker 11>attract these jobs and these entrepreneurs.

0:18:28.200 --> 0:18:30.440
<v Speaker 4>All right, Chris Lahane of Hahn Bench, is never enough

0:18:30.480 --> 0:18:32.000
<v Speaker 4>time with you, Thank you.

0:18:32.480 --> 0:18:33.800
<v Speaker 3>This is Bloomberg.

0:18:41.720 --> 0:18:44.280
<v Speaker 2>Time now for talking tech. First up, want to make

0:18:44.440 --> 0:18:46.800
<v Speaker 2>use of your car when you're not using it yourself. Well, look,

0:18:46.880 --> 0:18:49.280
<v Speaker 2>Uber has plans for that. The right haling giant will

0:18:49.359 --> 0:18:51.800
<v Speaker 2>launch Uber car Share. It's a peer to peer service

0:18:52.040 --> 0:18:54.600
<v Speaker 2>that it says we'll make its business more sustainable, competing

0:18:54.600 --> 0:18:57.560
<v Speaker 2>with startups like get Around in Turo. Meanwhile, the company

0:18:57.560 --> 0:19:00.920
<v Speaker 2>wants to cut of missions to zero by converting its

0:19:01.080 --> 0:19:04.040
<v Speaker 2>entire fleet of cars to electric by twenty forty.

0:19:05.400 --> 0:19:09.120
<v Speaker 1>Tesla's are the highest selling cars in terms of electric

0:19:09.600 --> 0:19:13.160
<v Speaker 1>vehicles by mile. At the same time, we're not you know,

0:19:13.320 --> 0:19:17.240
<v Speaker 1>we want electrification to happen, and that's not just going

0:19:17.240 --> 0:19:20.120
<v Speaker 1>to happen on Tesla. You know, we need forwards out there,

0:19:20.240 --> 0:19:22.920
<v Speaker 1>gms out there, Toyoto's out there, et cetera. We need

0:19:22.960 --> 0:19:24.359
<v Speaker 1>all these other players to go electric.

0:19:25.440 --> 0:19:28.800
<v Speaker 2>Darren Cosla, Shahee with Emini Chang there. Meanwhile, Adobe says

0:19:28.800 --> 0:19:30.760
<v Speaker 2>it's willing to take up certain legal fees for its

0:19:30.880 --> 0:19:33.880
<v Speaker 2>users with its new Artificial Intelligence subscription. For a flat rate,

0:19:34.200 --> 0:19:37.199
<v Speaker 2>users can use its AI tools across Adobe products with

0:19:37.280 --> 0:19:41.720
<v Speaker 2>legal assurance against copyright infringement claims. Class TikTok wants to

0:19:41.760 --> 0:19:44.159
<v Speaker 2>expand its global e commerce business to as much as

0:19:44.200 --> 0:19:47.440
<v Speaker 2>twenty billion dollars in merchandise sales this year. So also

0:19:47.440 --> 0:19:49.840
<v Speaker 2>say the video content apps is banking on rapid growth

0:19:49.840 --> 0:19:53.600
<v Speaker 2>in Southeast Asia in particular likes of Indonesia. Expansion in

0:19:53.680 --> 0:19:56.119
<v Speaker 2>Europe or here in the US. That's also expected, and

0:19:56.160 --> 0:19:58.760
<v Speaker 2>it's interesting considering some of the legal pushbacks that we're

0:19:58.760 --> 0:20:01.639
<v Speaker 2>getting from law makers both particular region.

0:20:01.440 --> 0:20:03.919
<v Speaker 4>Said Yeah, I want to stick with this company in

0:20:03.920 --> 0:20:06.119
<v Speaker 4>this story because it's one we track closely. Here with

0:20:06.440 --> 0:20:09.760
<v Speaker 4>more details Bloombergs Technology edit to Sarah Fryer. They're just

0:20:09.800 --> 0:20:13.399
<v Speaker 4>plowing on business despite the regulatory headwind it is.

0:20:13.440 --> 0:20:17.120
<v Speaker 12>It's really fascinating too that this is an area that

0:20:17.160 --> 0:20:20.600
<v Speaker 12>a lot of their competitors have stumbled on. We've seen

0:20:20.680 --> 0:20:24.600
<v Speaker 12>Instagram try social shopping, We've seen YouTube, We've seen a

0:20:24.600 --> 0:20:28.840
<v Speaker 12>lot of other attempts at getting US users and European

0:20:28.920 --> 0:20:32.880
<v Speaker 12>users to mix their scroll with getting their credit card out,

0:20:33.160 --> 0:20:35.359
<v Speaker 12>and it just hasn't worked as well in the US

0:20:35.400 --> 0:20:37.159
<v Speaker 12>as it has in China. That's not to say that

0:20:37.200 --> 0:20:39.960
<v Speaker 12>TikTok couldn't make it work, because of course they have

0:20:40.119 --> 0:20:43.600
<v Speaker 12>had great success in all of these endeavors that we

0:20:43.680 --> 0:20:46.840
<v Speaker 12>found they might not do well at. But one reason

0:20:46.880 --> 0:20:49.359
<v Speaker 12>they need to is because the advertising business, just like

0:20:49.400 --> 0:20:51.160
<v Speaker 12>it is for everyone else, is slowing.

0:20:52.119 --> 0:20:55.600
<v Speaker 2>Good diversification point there also, it probably won't be bad

0:20:55.680 --> 0:21:00.000
<v Speaker 2>to get some big US European retailers liking the business model.

0:21:02.119 --> 0:21:03.160
<v Speaker 2>I don't think it would be bad.

0:21:03.160 --> 0:21:06.800
<v Speaker 12>And I think also when you look at this twenty

0:21:06.840 --> 0:21:10.119
<v Speaker 12>billion number, they're not really relying on the US and

0:21:10.160 --> 0:21:12.760
<v Speaker 12>Europe to get there. They're going to be relying on

0:21:12.840 --> 0:21:17.800
<v Speaker 12>Southeast Asia, in particular Indonesia, where this behavior is very strong,

0:21:18.080 --> 0:21:20.800
<v Speaker 12>and so I think that for this year it's really

0:21:20.840 --> 0:21:23.439
<v Speaker 12>going to be a test case in the US and Europe.

0:21:23.800 --> 0:21:26.880
<v Speaker 12>But they're hoping to get to that twenty billion mostly

0:21:26.960 --> 0:21:28.120
<v Speaker 12>just by expansion in.

0:21:28.080 --> 0:21:31.960
<v Speaker 2>Those markets, getting some other key voices perhaps to fight

0:21:32.000 --> 0:21:35.760
<v Speaker 2>for your well remaining within certain countries and operating I'm

0:21:35.760 --> 0:21:38.920
<v Speaker 2>sure wouldn't be a negative from outcome for these particular

0:21:38.960 --> 0:21:41.040
<v Speaker 2>TikTok at the moment Saraha was great to have her on.

0:21:48.720 --> 0:21:50.960
<v Speaker 2>Welcome back to Blue bed Technology. I'm Caroline Hyde in

0:21:51.000 --> 0:21:51.560
<v Speaker 2>New York.

0:21:51.920 --> 0:21:54.680
<v Speaker 4>And I'm Ed Ludlow out here in San Francisco. Paying

0:21:54.720 --> 0:21:57.760
<v Speaker 4>a quick tension carried to the market is interesting day.

0:21:57.800 --> 0:21:59.560
<v Speaker 4>A lot of green on the screen. Look at them

0:21:59.600 --> 0:22:02.240
<v Speaker 4>as that one hundred. The charge continues up one point

0:22:02.280 --> 0:22:04.600
<v Speaker 4>four percent. You talked about it earlier. It's a case

0:22:04.600 --> 0:22:06.840
<v Speaker 4>of kind of good news is bad news or bad

0:22:06.840 --> 0:22:09.160
<v Speaker 4>news is good news as it relates to economic data

0:22:09.480 --> 0:22:12.400
<v Speaker 4>and the FED jobless claims coming in higher than expected

0:22:12.760 --> 0:22:15.760
<v Speaker 4>last week. Elsewhere, we see chips push high, the Philadelphia

0:22:15.800 --> 0:22:19.199
<v Speaker 4>Seductor Index up one point three percent, yields pulling back

0:22:19.240 --> 0:22:21.639
<v Speaker 4>a little bit three point seven percent on the US tenure,

0:22:21.840 --> 0:22:25.480
<v Speaker 4>and Bitcoin staying at around twenty six thousand, five hundred.

0:22:25.880 --> 0:22:26.840
<v Speaker 3>Dollars per token.

0:22:27.080 --> 0:22:30.400
<v Speaker 4>There's been volatility in our favorite risk asset with what's

0:22:30.440 --> 0:22:34.240
<v Speaker 4>been going on with the SEC, finance and coinbase. In

0:22:34.320 --> 0:22:36.720
<v Speaker 4>terms of specific movers, actually want to take another look

0:22:36.720 --> 0:22:38.600
<v Speaker 4>at Adobe. I know that we've got the details of

0:22:38.640 --> 0:22:41.960
<v Speaker 4>what's going on in terms of the subscription for their

0:22:42.000 --> 0:22:43.160
<v Speaker 4>Generative AI offering.

0:22:43.359 --> 0:22:44.359
<v Speaker 3>We're up five percent.

0:22:44.440 --> 0:22:46.600
<v Speaker 4>Now, this is a stock trading at a August high,

0:22:46.800 --> 0:22:48.679
<v Speaker 4>but the second best performer on the S and P

0:22:48.840 --> 0:22:52.560
<v Speaker 4>five hundred. AI continues to be a driver in this

0:22:52.680 --> 0:22:56.400
<v Speaker 4>market in newsflow but also inequities. And I think that's

0:22:56.440 --> 0:23:00.200
<v Speaker 4>so interesting because another day, another headline in investors to

0:23:00.200 --> 0:23:00.560
<v Speaker 4>buy a.

0:23:00.520 --> 0:23:03.359
<v Speaker 2>Car, and another announcement as well. They come thick and fast.

0:23:03.400 --> 0:23:06.080
<v Speaker 2>We want to talk about the latest generative AI announcement

0:23:06.119 --> 0:23:08.639
<v Speaker 2>coming from Gong. It's an AI platform that helps revenue

0:23:08.640 --> 0:23:12.119
<v Speaker 2>teams really boost their productivity to increase sales growth. Today

0:23:12.200 --> 0:23:15.120
<v Speaker 2>they're announcing Gong Engaged is an AI driven sales engagement

0:23:15.119 --> 0:23:18.800
<v Speaker 2>solution using customer interactions. Can discuss the product and its

0:23:18.880 --> 0:23:23.680
<v Speaker 2>own proprietary generative AI models. CEO Army and of thank

0:23:23.720 --> 0:23:27.159
<v Speaker 2>you for joining us Army And how long was this

0:23:27.200 --> 0:23:30.000
<v Speaker 2>in the making. Are you suddenly florrying out new announcements

0:23:30.000 --> 0:23:31.840
<v Speaker 2>because everyone else has got one? Or has this been

0:23:31.880 --> 0:23:33.000
<v Speaker 2>something that you're building for a while.

0:23:33.720 --> 0:23:37.640
<v Speaker 13>I've founded the company in twenty fifteen when I realized

0:23:37.680 --> 0:23:41.480
<v Speaker 13>that I was a CEO of a company here in

0:23:41.480 --> 0:23:43.719
<v Speaker 13>New York City, and I realized that our people are

0:23:43.760 --> 0:23:46.840
<v Speaker 13>spending like way too much time entering customer information like

0:23:47.359 --> 0:23:50.000
<v Speaker 13>into our CRM system, and ninety nine percent of the

0:23:50.040 --> 0:23:53.359
<v Speaker 13>work doesn't get done and they hate it. So my

0:23:53.520 --> 0:23:57.600
<v Speaker 13>thinking was, if AI can beat the world champion in chess,

0:23:57.840 --> 0:24:02.120
<v Speaker 13>and if AI can diagnose cancer better than doctor, why

0:24:02.280 --> 0:24:05.399
<v Speaker 13>can't do all these like drudgery better than people? That

0:24:05.560 --> 0:24:07.800
<v Speaker 13>was the idea for Gong and that's what we uh,

0:24:08.040 --> 0:24:09.879
<v Speaker 13>that's what we started, and that's what we've been building

0:24:09.960 --> 0:24:10.480
<v Speaker 13>ever since.

0:24:10.720 --> 0:24:14.040
<v Speaker 2>Okay, so if you've been building on these announcements, for example,

0:24:14.080 --> 0:24:17.119
<v Speaker 2>since twenty fifteen, does it frustrate you that yesterday we

0:24:17.160 --> 0:24:19.879
<v Speaker 2>had Twilio on Discovered discussing their generator of AI. The

0:24:19.960 --> 0:24:22.320
<v Speaker 2>day before, everyone's got some latest announcement.

0:24:22.840 --> 0:24:24.720
<v Speaker 3>It excites me. Why would it frustrated?

0:24:25.040 --> 0:24:27.560
<v Speaker 13>When we started, it was a challenge to raise money

0:24:27.560 --> 0:24:31.560
<v Speaker 13>because people didn't believe that AI can replace people's work.

0:24:32.000 --> 0:24:34.040
<v Speaker 13>Now we don't have to prove that companies are coming.

0:24:34.280 --> 0:24:37.120
<v Speaker 13>We need to reduce costs with AI. How can you help?

0:24:37.119 --> 0:24:40.199
<v Speaker 13>So it actually provides like huge validation. We're excited. We

0:24:40.280 --> 0:24:43.520
<v Speaker 13>think like every company is going to have something with AI.

0:24:43.680 --> 0:24:45.280
<v Speaker 13>The question like what are you doing with us? So

0:24:45.320 --> 0:24:47.000
<v Speaker 13>it's actually super helpful and exciting.

0:24:47.960 --> 0:24:51.760
<v Speaker 2>To that point, what really got everyone realizing the potential

0:24:51.760 --> 0:24:54.560
<v Speaker 2>of AI was it course chatch ebt it's unveiling in

0:24:54.560 --> 0:24:59.680
<v Speaker 2>November and the iterations thereafter. What why are you basing

0:24:59.720 --> 0:25:03.359
<v Speaker 2>it on your own generative varier models, your own proprietary data?

0:25:05.080 --> 0:25:09.760
<v Speaker 13>Great question. We have about sixty models. We also use

0:25:09.880 --> 0:25:13.119
<v Speaker 13>open Aiyes, model, which is great, but we have like

0:25:13.240 --> 0:25:19.480
<v Speaker 13>special purpose models for almost everything from understanding speech, from

0:25:19.880 --> 0:25:26.200
<v Speaker 13>punctuating text, from summaryings, identifying action items, recommending people within

0:25:26.240 --> 0:25:30.120
<v Speaker 13>the organization. So when you train specific model, you can

0:25:30.160 --> 0:25:34.520
<v Speaker 13>get much higher accuracy and reliability rather than relying on

0:25:34.600 --> 0:25:36.760
<v Speaker 13>public domain knowledge.

0:25:37.359 --> 0:25:41.399
<v Speaker 4>I mean, have you already started thinking about efficiencies and

0:25:42.200 --> 0:25:45.160
<v Speaker 4>you know hard to ask, but eliminating roles at your

0:25:45.200 --> 0:25:48.920
<v Speaker 4>company because of the impact that these tools will have.

0:25:51.760 --> 0:25:56.960
<v Speaker 13>Seventy percent of customer facing time is wasted on non

0:25:57.000 --> 0:26:00.960
<v Speaker 13>productive work. It things like updating record in ternal meetings,

0:26:01.920 --> 0:26:05.920
<v Speaker 13>sifting through records. And these are people that are making

0:26:05.960 --> 0:26:08.199
<v Speaker 13>six figures, so it doesn't make sense to do all

0:26:08.280 --> 0:26:10.879
<v Speaker 13>the work all along. We said AI can replace that

0:26:11.680 --> 0:26:15.399
<v Speaker 13>and our users a lot that they don't have to

0:26:15.400 --> 0:26:18.880
<v Speaker 13>do this drudgery. They can spend more time with customers.

0:26:18.920 --> 0:26:21.600
<v Speaker 13>So it doesn't necessarily mean like limiting new jobs mean

0:26:21.840 --> 0:26:24.280
<v Speaker 13>limiting the drudgery from our day to day.

0:26:25.480 --> 0:26:29.000
<v Speaker 4>You talks about being sort of technology agnostics sixty llms.

0:26:29.040 --> 0:26:32.400
<v Speaker 4>I think you said that you are utilizing, but what's

0:26:32.440 --> 0:26:35.520
<v Speaker 4>it like doing business with open AI? Is it good

0:26:35.600 --> 0:26:38.320
<v Speaker 4>value for money for you? Building something on top of

0:26:38.320 --> 0:26:39.880
<v Speaker 4>GPT three point five or four.

0:26:39.920 --> 0:26:40.880
<v Speaker 3>I'm not sure what you use.

0:26:42.640 --> 0:26:45.320
<v Speaker 13>Yes, they've been a great partner. We've been working with

0:26:45.320 --> 0:26:47.800
<v Speaker 13>them for over a year and allow us early access

0:26:47.840 --> 0:26:50.480
<v Speaker 13>to the latest stuff and allows us to use them

0:26:50.520 --> 0:26:54.080
<v Speaker 13>for some of the applications. So been wonderful to work

0:26:54.119 --> 0:26:58.960
<v Speaker 13>with and we're excited that they're successful and helping prove

0:26:59.040 --> 0:27:01.840
<v Speaker 13>to the world that A is real and can make

0:27:01.880 --> 0:27:02.800
<v Speaker 13>like a huge difference.

0:27:04.000 --> 0:27:08.400
<v Speaker 4>Since you've shown your hand in your competence of generative

0:27:08.440 --> 0:27:11.440
<v Speaker 4>AI tools, how many of your investors have phoned you

0:27:12.000 --> 0:27:14.960
<v Speaker 4>asked if you should raise more money, asked about valuation?

0:27:15.200 --> 0:27:18.159
<v Speaker 4>Do you have a higher evaluation now the AI is

0:27:18.200 --> 0:27:19.520
<v Speaker 4>attached to your business?

0:27:20.119 --> 0:27:24.480
<v Speaker 13>There are We've raised plenty of money. We've raised six

0:27:24.560 --> 0:27:29.200
<v Speaker 13>hundred million dollars to day. Like even before AI was cool,

0:27:29.359 --> 0:27:32.040
<v Speaker 13>people saw the user excitement and the value that Gong

0:27:32.200 --> 0:27:34.439
<v Speaker 13>is creating. So we don't need to raise We're not

0:27:35.440 --> 0:27:38.080
<v Speaker 13>raising right now. We're actually not burning a ton of money.

0:27:38.440 --> 0:27:41.720
<v Speaker 13>But definitely there is a ton of inbound interest. There's

0:27:41.720 --> 0:27:43.720
<v Speaker 13>no shorts of people that want to invest that they

0:27:43.800 --> 0:27:48.560
<v Speaker 13>recognize the massive technotic shifts that we're experiencing right now.

0:27:49.160 --> 0:27:52.520
<v Speaker 2>I mean, we came to off a look at Adobe

0:27:52.560 --> 0:27:55.400
<v Speaker 2>and the fact that they're willing to take some well

0:27:55.480 --> 0:27:58.919
<v Speaker 2>legal risk on board. And we are beset with what

0:27:59.000 --> 0:28:01.840
<v Speaker 2>are the ramifications the generative AI? What are the copyright

0:28:01.880 --> 0:28:04.399
<v Speaker 2>what is the bias? What is the negative repercussions? How

0:28:04.440 --> 0:28:06.240
<v Speaker 2>do we regulate it? How are you thinking about that

0:28:06.280 --> 0:28:07.000
<v Speaker 2>within your business?

0:28:08.000 --> 0:28:11.640
<v Speaker 13>AI is powerful and needs to be regulated. We put

0:28:11.680 --> 0:28:18.879
<v Speaker 13>a lot of effort both on privacy, security, disclosure of information.

0:28:19.440 --> 0:28:24.160
<v Speaker 13>So the system needs to be helpful and not threatening

0:28:24.160 --> 0:28:26.400
<v Speaker 13>to people, right, so everything is transparent and I think

0:28:26.440 --> 0:28:30.560
<v Speaker 13>like every company should put regulatory control and I think

0:28:30.760 --> 0:28:32.760
<v Speaker 13>both at the company level but also the country and

0:28:32.800 --> 0:28:33.520
<v Speaker 13>a global level.

0:28:33.960 --> 0:28:35.520
<v Speaker 2>I mean, great to have some time with you. We

0:28:35.600 --> 0:28:39.160
<v Speaker 2>thank you. Army Bendov of course have gone the CEO there. Meanwhile,

0:28:39.200 --> 0:28:41.800
<v Speaker 2>talking of AI Leok, the UK Prime Minister Rishisunak is

0:28:41.840 --> 0:28:43.880
<v Speaker 2>on a diplomatic visit right here to the US. He's

0:28:43.920 --> 0:28:47.000
<v Speaker 2>in Washington and he's seeking stronger economic ties with the

0:28:47.080 --> 0:28:50.280
<v Speaker 2>United States. Basunak is also pursuing a leadership role for

0:28:50.320 --> 0:28:53.200
<v Speaker 2>the UK in the international regulation of you guessed at AI.

0:28:53.760 --> 0:28:57.040
<v Speaker 2>This follows the UK government's announcements last night that's going

0:28:57.080 --> 0:28:59.600
<v Speaker 2>to be hosting the first major global summit on Artificial

0:28:59.640 --> 0:29:02.960
<v Speaker 2>intelligen safety in the fall. On that note, President Biden

0:29:03.000 --> 0:29:05.600
<v Speaker 2>will hold a joint press conference with Prime Minister Withhusunak

0:29:05.760 --> 0:29:07.520
<v Speaker 2>in just about an hour's time. And you can tune

0:29:07.560 --> 0:29:09.640
<v Speaker 2>in on a terminal at Life Go if you're like

0:29:09.760 --> 0:29:10.400
<v Speaker 2>enough to have one.

0:29:10.320 --> 0:29:12.240
<v Speaker 3>End coming up.

0:29:12.560 --> 0:29:15.400
<v Speaker 4>More on AI and on the investing side, this time

0:29:15.480 --> 0:29:19.200
<v Speaker 4>with Kliine Perkins, Bucky Moore. That's next. Got to take

0:29:19.240 --> 0:29:22.080
<v Speaker 4>a look at carl Vana. This is a monster move

0:29:22.160 --> 0:29:25.280
<v Speaker 4>currently up forty two percent. Carrow had been up fifty

0:29:25.360 --> 0:29:27.960
<v Speaker 4>one percent, biggest move on record on an intra day

0:29:28.000 --> 0:29:32.400
<v Speaker 4>basis better than expected forecast for financial results. This is

0:29:32.520 --> 0:29:37.400
<v Speaker 4>like the vending machine of cars right picture. It stacked high,

0:29:37.720 --> 0:29:39.120
<v Speaker 4>You press the button of the car you want and

0:29:39.120 --> 0:29:41.720
<v Speaker 4>it spits out. But also a heavy emphasis online sales

0:29:42.000 --> 0:29:45.520
<v Speaker 4>during the pandemic, that shortage of second hand Just what

0:29:45.600 --> 0:29:46.239
<v Speaker 4>will track this one?

0:29:46.280 --> 0:29:48.880
<v Speaker 3>It's absolutely insane. This is Bloomberg.

0:29:58.040 --> 0:30:01.480
<v Speaker 4>Artificial intelligence company. Coher raised two hundred and seventy million

0:30:01.560 --> 0:30:04.680
<v Speaker 4>dollars from a mix of venture capital and strategic investors,

0:30:04.880 --> 0:30:08.440
<v Speaker 4>according to coh's president and COO. In Ovia Capital led

0:30:08.440 --> 0:30:13.200
<v Speaker 4>the round with participation from Oracle, Nvidia and Salesforce Ventures,

0:30:13.280 --> 0:30:17.280
<v Speaker 4>Existing Inventor Investor, Index Ventures, and some others. The startup

0:30:17.320 --> 0:30:19.560
<v Speaker 4>is valued in the round at two point one billion

0:30:19.640 --> 0:30:23.040
<v Speaker 4>to two point two billion dollars, according to.

0:30:23.000 --> 0:30:23.920
<v Speaker 3>A Bloomberg source.

0:30:24.720 --> 0:30:26.760
<v Speaker 4>Let's stick with the world of VC and AI and

0:30:26.800 --> 0:30:29.360
<v Speaker 4>bring in Bucky Moore, partner at Kleine Perkins, who's been

0:30:29.360 --> 0:30:33.280
<v Speaker 4>focused on investments across infrastructure, compute, and AI for the firm.

0:30:33.600 --> 0:30:34.680
<v Speaker 3>For I would say quite some.

0:30:34.720 --> 0:30:38.400
<v Speaker 4>Time, welcome to the program. I've always just wanted to

0:30:38.400 --> 0:30:41.480
<v Speaker 4>sit down with you and say what is going on

0:30:41.520 --> 0:30:42.160
<v Speaker 4>in your world?

0:30:43.120 --> 0:30:44.680
<v Speaker 14>Well, first of all, thank you so much for having me.

0:30:44.680 --> 0:30:46.200
<v Speaker 14>It's great to be here. And in terms of what's

0:30:46.200 --> 0:30:48.000
<v Speaker 14>going on in our world, we are in the midst

0:30:48.080 --> 0:30:51.080
<v Speaker 14>of a ce change that AI is driving in terms

0:30:51.080 --> 0:30:54.280
<v Speaker 14>of how technology is really impacting or working in personal lives.

0:30:54.720 --> 0:30:55.800
<v Speaker 3>And I think when we see.

0:30:55.600 --> 0:30:58.520
<v Speaker 14>A generational shift come along like this as venture capitalists,

0:30:58.520 --> 0:31:01.000
<v Speaker 14>we get really excited. And what we're focused on at

0:31:01.000 --> 0:31:04.680
<v Speaker 14>this moment is really partnering with these innovative, visionary founders

0:31:04.680 --> 0:31:06.400
<v Speaker 14>that have a unique point of view and how to

0:31:06.440 --> 0:31:09.280
<v Speaker 14>bring this technology to big markets and in doing so,

0:31:09.400 --> 0:31:11.560
<v Speaker 14>hopefully make all of our working in personal lives a

0:31:11.600 --> 0:31:14.120
<v Speaker 14>lot more interesting, more efficient, and exciting.

0:31:14.400 --> 0:31:17.320
<v Speaker 4>When I look at your Friday companies and also the

0:31:17.360 --> 0:31:21.480
<v Speaker 4>types of exits, what do I conclude You're focused on

0:31:22.440 --> 0:31:26.800
<v Speaker 4>AI native or AI adjacent companies because every enterprise SaaS

0:31:26.800 --> 0:31:28.360
<v Speaker 4>software company is now saying.

0:31:28.160 --> 0:31:29.280
<v Speaker 3>Oh, I'm an AI company.

0:31:29.680 --> 0:31:31.880
<v Speaker 14>So I consider myself to be an infrastructure investor. And

0:31:31.920 --> 0:31:35.040
<v Speaker 14>what I mean by infrastructure is the underpinnings that power

0:31:35.120 --> 0:31:37.960
<v Speaker 14>these digital experiences that we're increasingly relying on to live

0:31:38.000 --> 0:31:40.200
<v Speaker 14>our lives. And when I think about AI, I think

0:31:40.200 --> 0:31:42.080
<v Speaker 14>of it as yet another one of these underpinnings that

0:31:42.200 --> 0:31:44.880
<v Speaker 14>is going to change how software gets developed, change the

0:31:44.960 --> 0:31:46.680
<v Speaker 14>kind of software that we find in our working in

0:31:46.680 --> 0:31:49.880
<v Speaker 14>personal lives, and ultimately bring all of these new capabilities

0:31:49.920 --> 0:31:51.760
<v Speaker 14>to the world that we just haven't seen before. And

0:31:51.800 --> 0:31:53.480
<v Speaker 14>so I'm thinking about it from that lens as yet

0:31:53.520 --> 0:31:54.760
<v Speaker 14>another piece of infrastructure.

0:31:55.080 --> 0:31:58.320
<v Speaker 2>Okay, Bucky, go deep for us for a moment, because

0:31:58.520 --> 0:32:00.560
<v Speaker 2>reading your note that you put out each it was

0:32:00.920 --> 0:32:02.480
<v Speaker 2>back an end of February you put it out, but

0:32:02.560 --> 0:32:04.600
<v Speaker 2>the future of infrastructure, and even then you were calling

0:32:04.600 --> 0:32:07.160
<v Speaker 2>about the impact of AI. You're talking about integrating it

0:32:07.160 --> 0:32:10.280
<v Speaker 2>into software vector databases is something you were looking at

0:32:10.520 --> 0:32:14.440
<v Speaker 2>built for storage, where for you starts to attract you

0:32:14.520 --> 0:32:17.040
<v Speaker 2>of allocating money right now because you must be besieged

0:32:17.040 --> 0:32:17.920
<v Speaker 2>with opportunities.

0:32:18.960 --> 0:32:20.920
<v Speaker 14>Yeah, So, taking a step back, we think about this

0:32:20.960 --> 0:32:23.320
<v Speaker 14>space really in three layers. At the very bottom layer,

0:32:23.400 --> 0:32:25.680
<v Speaker 14>what you have is the hardware and software that allows

0:32:25.760 --> 0:32:28.200
<v Speaker 14>us to deliver these computing platforms that help us train

0:32:28.320 --> 0:32:31.200
<v Speaker 14>and develop these models. At the layer above that you

0:32:31.200 --> 0:32:33.840
<v Speaker 14>have tooling and infrastructure that helps us integrate these models

0:32:33.880 --> 0:32:37.000
<v Speaker 14>into the software that makes the technology usable and accessible.

0:32:37.240 --> 0:32:38.800
<v Speaker 14>And then of course at the very top layer, what

0:32:38.880 --> 0:32:41.680
<v Speaker 14>you have our applications. And so examples of these applications

0:32:41.680 --> 0:32:44.920
<v Speaker 14>in the Cliner Perkins portfolio include companies like Glean, who's

0:32:44.920 --> 0:32:47.960
<v Speaker 14>bringing language models to business search, or at Synthesia, who's

0:32:47.960 --> 0:32:51.880
<v Speaker 14>bringing diffusion models to generative video. And what we see

0:32:52.040 --> 0:32:54.719
<v Speaker 14>time and time again is that value can accrue at

0:32:54.720 --> 0:32:56.560
<v Speaker 14>all three layers of that stack. And so as an

0:32:56.600 --> 0:33:00.120
<v Speaker 14>infrastructure investor, specifically at Clinderperkins, what I'm very focused on

0:33:00.160 --> 0:33:03.000
<v Speaker 14>are those bottom two layers, so the infrastructure that allows

0:33:03.080 --> 0:33:05.320
<v Speaker 14>us to deliver these computing platforms that ultimately make it

0:33:05.320 --> 0:33:08.000
<v Speaker 14>possible to develop and train these models and the tools

0:33:08.000 --> 0:33:11.240
<v Speaker 14>in infrastructure, such as vector databases that make it possible

0:33:11.240 --> 0:33:13.720
<v Speaker 14>for developers to integrate these models into their applications.

0:33:14.240 --> 0:33:18.600
<v Speaker 2>Those models and particularly the foundational models, Bucky, does it

0:33:18.720 --> 0:33:22.000
<v Speaker 2>matter whether we end up going more towards proprietary models

0:33:22.040 --> 0:33:25.600
<v Speaker 2>and open AI? Does it end up being more open source?

0:33:25.640 --> 0:33:28.240
<v Speaker 2>Do we have more of a hugging face situation? Does

0:33:28.280 --> 0:33:31.160
<v Speaker 2>it matter ultimately, because it's interesting that, of course Klein

0:33:31.240 --> 0:33:33.920
<v Speaker 2>and Perkins well made its name on backing one are

0:33:33.960 --> 0:33:38.560
<v Speaker 2>now incredibly huge companies that are deep within AI. Think

0:33:38.560 --> 0:33:41.040
<v Speaker 2>of Google is are they going to eat all the lunch?

0:33:41.160 --> 0:33:42.880
<v Speaker 2>Or is there room for startups in the space.

0:33:43.960 --> 0:33:47.080
<v Speaker 14>So, Caroline, I think it absolutely matters. It matters a lot.

0:33:47.280 --> 0:33:49.440
<v Speaker 14>And the way I think it matters is time and

0:33:49.440 --> 0:33:51.640
<v Speaker 14>time again, what we've seen is the technology that comes

0:33:51.680 --> 0:33:53.800
<v Speaker 14>along that is as useful as this, it tends to

0:33:53.840 --> 0:33:56.960
<v Speaker 14>trend towards commoditization. And an embodiment of that trend towards

0:33:57.000 --> 0:34:00.000
<v Speaker 14>commoditization is the proliferation of open source alternatives to these

0:34:00.040 --> 0:34:03.440
<v Speaker 14>proprietary models that we're really starting to see more and

0:34:03.520 --> 0:34:06.560
<v Speaker 14>more often actually stand up to the capabilities that developers

0:34:06.600 --> 0:34:09.520
<v Speaker 14>are looking for when pursuing use cases with AI. So

0:34:09.560 --> 0:34:12.160
<v Speaker 14>I think it matters a lot, and I personally hope

0:34:12.239 --> 0:34:14.120
<v Speaker 14>and believe that we're going to enter a world where

0:34:14.120 --> 0:34:16.120
<v Speaker 14>we're going to have best in class models that are

0:34:16.160 --> 0:34:18.439
<v Speaker 14>proprietary in nature from the likes of companies like open

0:34:18.440 --> 0:34:20.880
<v Speaker 14>AI and Anthropic and so on, and then we're going

0:34:20.920 --> 0:34:23.440
<v Speaker 14>to have a vast landscape of open source models that

0:34:23.520 --> 0:34:26.880
<v Speaker 14>asymptotically approach the performance of those best in class proprietary

0:34:26.880 --> 0:34:30.080
<v Speaker 14>models over time, but also make this technology accessible to anyone.

0:34:30.560 --> 0:34:32.960
<v Speaker 4>There is a temptation for us to spend the entire

0:34:33.040 --> 0:34:34.400
<v Speaker 4>show talking about AI.

0:34:34.920 --> 0:34:36.399
<v Speaker 3>Other things are going on in your world.

0:34:36.880 --> 0:34:40.239
<v Speaker 4>The story of the week is Sequoia splitting into three businesses.

0:34:40.640 --> 0:34:44.080
<v Speaker 4>I know that Kina Perkins is China business basically operates

0:34:44.080 --> 0:34:45.680
<v Speaker 4>independently as well, but.

0:34:45.680 --> 0:34:46.759
<v Speaker 3>What do you make of that?

0:34:46.840 --> 0:34:48.279
<v Speaker 4>And I guess if we are going to tie it

0:34:48.280 --> 0:34:52.080
<v Speaker 4>to AI, we recognize their entrepreneurs in China doing things

0:34:52.120 --> 0:34:53.360
<v Speaker 4>in the field of AI as well.

0:34:54.320 --> 0:34:58.000
<v Speaker 14>So the venture capital industry continues to evolve and has

0:34:58.040 --> 0:35:00.359
<v Speaker 14>evolved a substantial amount over the past few days kids

0:35:00.400 --> 0:35:01.880
<v Speaker 14>And one of the ways it's evolved is it has

0:35:01.920 --> 0:35:04.239
<v Speaker 14>grown a lot in size, but at Cleiner Perkins, our

0:35:04.360 --> 0:35:06.880
<v Speaker 14>view is ultimately focus is the winning formula, and what

0:35:06.920 --> 0:35:10.080
<v Speaker 14>we mean by focus is focus on stage, focus on sector,

0:35:10.360 --> 0:35:12.799
<v Speaker 14>and focus on geography. So the Clinder Perkins that you

0:35:12.840 --> 0:35:15.160
<v Speaker 14>see today is one that is really thinking through that

0:35:15.239 --> 0:35:17.160
<v Speaker 14>lens of focus and shaping our strategy. And I think

0:35:17.160 --> 0:35:19.399
<v Speaker 14>that's where we'll be for many years to come. And

0:35:19.680 --> 0:35:21.400
<v Speaker 14>that's ultimately what we think the winning formula is in

0:35:21.400 --> 0:35:21.920
<v Speaker 14>this business.

0:35:22.080 --> 0:35:24.640
<v Speaker 4>What's the read through from that to crypto? And I

0:35:24.719 --> 0:35:27.320
<v Speaker 4>know that's not automatically your area, but what we hear

0:35:27.719 --> 0:35:30.120
<v Speaker 4>from the vcs that come on this program is all

0:35:30.120 --> 0:35:33.160
<v Speaker 4>the inbound has disappeared and anyway, all of our outbound

0:35:33.200 --> 0:35:34.120
<v Speaker 4>is going to AI.

0:35:34.680 --> 0:35:36.160
<v Speaker 3>I just wondered what your view was on that.

0:35:36.760 --> 0:35:40.600
<v Speaker 14>So I think all of the regulatory conversations that are

0:35:40.640 --> 0:35:42.839
<v Speaker 14>going on with respect to crypto make it a very

0:35:43.040 --> 0:35:46.000
<v Speaker 14>uncertain place for new businesses to be built. And so

0:35:46.040 --> 0:35:47.440
<v Speaker 14>I think what you are starting to see is that

0:35:47.480 --> 0:35:49.759
<v Speaker 14>there's a shift in attention towards AI, which is very

0:35:49.840 --> 0:35:52.520
<v Speaker 14>ferral ground by comparison at the moment. My hope is

0:35:52.520 --> 0:35:54.920
<v Speaker 14>that the regulatory conversation comes to a head and in

0:35:54.920 --> 0:35:56.880
<v Speaker 14>a way that continues to allow people to innovate in

0:35:56.920 --> 0:35:58.920
<v Speaker 14>that space as well. But what we're seeing now is

0:35:59.000 --> 0:36:00.359
<v Speaker 14>undoubtedly askew toward AI.

0:36:01.280 --> 0:36:04.680
<v Speaker 2>I hate to bring it up, but AI doomas or optimists.

0:36:04.840 --> 0:36:07.759
<v Speaker 2>I mean, you sound relatively optimistic about all the productivity

0:36:07.800 --> 0:36:09.719
<v Speaker 2>that can be drawn from this, But what do you

0:36:09.800 --> 0:36:13.759
<v Speaker 2>make of either the worry about well the destruction of

0:36:13.840 --> 0:36:16.520
<v Speaker 2>humanity or indeed the more near term risks of bias

0:36:16.640 --> 0:36:19.560
<v Speaker 2>and other risks that are currently being involved in this

0:36:19.680 --> 0:36:21.160
<v Speaker 2>situation when we apply AI.

0:36:22.840 --> 0:36:25.479
<v Speaker 14>So I think it's absolutely critical that as we start

0:36:25.520 --> 0:36:27.640
<v Speaker 14>to shape the future of this technology, both from the

0:36:27.640 --> 0:36:30.160
<v Speaker 14>innovation and the regulatory side, that both of those sides

0:36:30.200 --> 0:36:33.000
<v Speaker 14>come together so that one another's perspectives are heard and

0:36:33.040 --> 0:36:35.719
<v Speaker 14>that we are able to balance safety and innovation as

0:36:35.719 --> 0:36:38.320
<v Speaker 14>we move the regulatory landscape.

0:36:37.880 --> 0:36:39.200
<v Speaker 3>Forward around this technology.

0:36:39.480 --> 0:36:41.040
<v Speaker 14>And I think if we skew one way or the

0:36:41.040 --> 0:36:44.120
<v Speaker 14>other too far, the outcome will be suboptimal. And so

0:36:44.160 --> 0:36:45.800
<v Speaker 14>I think that balance is really what I'm looking for

0:36:45.920 --> 0:36:47.960
<v Speaker 14>and what I'm optimistic that we'll find as an industry.

0:36:48.360 --> 0:36:50.840
<v Speaker 2>Buckimore, it's been great having time with you. Thank you, partner,

0:36:50.920 --> 0:37:01.600
<v Speaker 2>Klina Perkins. It's been more than seventy two hours now

0:37:01.640 --> 0:37:04.600
<v Speaker 2>since Eniol Musk passed over that torch to Twitter's new CEO,

0:37:04.920 --> 0:37:08.160
<v Speaker 2>da Yakarino after a pretty tumultuous reign as the head

0:37:08.160 --> 0:37:10.719
<v Speaker 2>of the social company he took over. In the premiere

0:37:10.760 --> 0:37:13.319
<v Speaker 2>of a new Bloomberg original series, Emi Chang sits down

0:37:13.520 --> 0:37:16.520
<v Speaker 2>for an exclusive interview with the former CEO, Evan Williams

0:37:16.560 --> 0:37:18.560
<v Speaker 2>and Jason Gorman, one of the most critical members of

0:37:18.600 --> 0:37:21.919
<v Speaker 2>the Twitter's founding, to discuss the move. His a peak

0:37:21.960 --> 0:37:24.000
<v Speaker 2>at tonight's episode of the Circuit with Emni Chang.

0:37:26.200 --> 0:37:27.279
<v Speaker 3>Yeah, it was surprising.

0:37:27.680 --> 0:37:30.440
<v Speaker 15>I mean, I'm trying to remember the first bursting on

0:37:30.880 --> 0:37:32.200
<v Speaker 15>or if I was even aware of it.

0:37:32.280 --> 0:37:33.880
<v Speaker 16>Were you the idea that he was going to buy

0:37:33.920 --> 0:37:35.759
<v Speaker 16>the company to me initially seeing like, oh, he's not

0:37:35.760 --> 0:37:37.400
<v Speaker 16>going to be really serious about this. It's going to

0:37:37.440 --> 0:37:40.080
<v Speaker 16>be like the way you sort of, you know, put

0:37:40.120 --> 0:37:42.359
<v Speaker 16>in a reservation on like a fancy sports car.

0:37:42.680 --> 0:37:44.719
<v Speaker 15>There have been a couple moments where I'm like, oh,

0:37:45.040 --> 0:37:48.000
<v Speaker 15>I started this thing with some other people a long

0:37:48.080 --> 0:37:52.760
<v Speaker 15>time ago in this little office and then the world's

0:37:52.840 --> 0:37:56.400
<v Speaker 15>richest man bought it, and it's this big news story.

0:37:56.320 --> 0:37:58.280
<v Speaker 3>Like how did how did that happen?

0:37:58.440 --> 0:37:58.919
<v Speaker 1>That's weird.

0:37:59.000 --> 0:38:00.799
<v Speaker 17>Was there any part of you that was like, well,

0:38:00.800 --> 0:38:02.400
<v Speaker 17>this is interesting. Maybe it's a little interesting.

0:38:02.719 --> 0:38:05.520
<v Speaker 15>Yes, I like interesting things to happen, right, I'm not

0:38:05.600 --> 0:38:07.680
<v Speaker 15>a fan of things staying the way they are. I mean,

0:38:08.000 --> 0:38:11.120
<v Speaker 15>that's why we do tech, that's why we start new things.

0:38:11.520 --> 0:38:15.239
<v Speaker 15>Twitter had been getting better and better, actually, the trajectory

0:38:15.239 --> 0:38:19.560
<v Speaker 15>of improvements in the year or two prior to Elon.

0:38:19.960 --> 0:38:23.520
<v Speaker 15>But then it was like Elon, Holy, Holy Holy, he

0:38:23.680 --> 0:38:26.520
<v Speaker 15>does crazy things. This will be interesting and fun. We'll

0:38:26.520 --> 0:38:31.640
<v Speaker 15>see what happens. Yeah, we made differ on this foot.

0:38:33.080 --> 0:38:35.520
<v Speaker 16>Yeah, I mean I was just concerned because, like everything

0:38:35.560 --> 0:38:37.080
<v Speaker 16>he was talking about that he wanted to do with

0:38:37.120 --> 0:38:40.640
<v Speaker 16>the product seem pretty lightly considered. We got to defeat

0:38:40.680 --> 0:38:43.800
<v Speaker 16>all the bots, and you know, there's all this stuff

0:38:43.800 --> 0:38:46.880
<v Speaker 16>about like the culture wars. But it became clear over time. No,

0:38:46.920 --> 0:38:49.560
<v Speaker 16>that is his primary interest in owning the platform. It's

0:38:49.560 --> 0:38:52.880
<v Speaker 16>the kind of push on these particular cultural issues and

0:38:52.920 --> 0:38:55.440
<v Speaker 16>his own personal use of the product he wants to

0:38:55.440 --> 0:38:55.920
<v Speaker 16>make better.

0:38:56.160 --> 0:38:57.799
<v Speaker 3>So how do you feel about what he's done so far?

0:38:59.080 --> 0:39:02.560
<v Speaker 3>I don't think he's done it in quite right yet. Well,

0:39:02.600 --> 0:39:03.800
<v Speaker 3>it's gone pretty poorly.

0:39:04.160 --> 0:39:08.279
<v Speaker 16>I mean, just objectively speaking, the move's fast sort of

0:39:08.320 --> 0:39:11.960
<v Speaker 16>mythos is blied by the most of the things that

0:39:11.960 --> 0:39:13.560
<v Speaker 16>have been pushing out the door, like Twitter, Blue or

0:39:13.640 --> 0:39:16.160
<v Speaker 16>view counts. Make sure you amplify my tweets so that

0:39:16.200 --> 0:39:19.360
<v Speaker 16>everyone sees them, which is again, if you own the product,

0:39:19.360 --> 0:39:21.040
<v Speaker 16>you can do that. It's just a curious way to

0:39:21.120 --> 0:39:23.080
<v Speaker 16>product manage of Guess who'd want.

0:39:22.920 --> 0:39:26.400
<v Speaker 2>To talk more? Emiy Chang, host of the circuit, Congratulations,

0:39:26.560 --> 0:39:30.440
<v Speaker 2>thank you Emii. They could laugh and be lighthearted, but

0:39:30.520 --> 0:39:33.920
<v Speaker 2>it must be emotional. And moreover, they were observers. There

0:39:33.920 --> 0:39:36.800
<v Speaker 2>were people there in the trunches who was deeply emotional

0:39:36.840 --> 0:39:39.440
<v Speaker 2>for and you got to speak to them too, absolutely so.

0:39:40.400 --> 0:39:42.920
<v Speaker 17>Ev It was interesting because you know, he started off.

0:39:42.920 --> 0:39:45.040
<v Speaker 17>You know, I was, I was interested. I thought, you know,

0:39:45.080 --> 0:39:47.200
<v Speaker 17>maybe this could be cool. But when it actually happened,

0:39:47.440 --> 0:39:48.040
<v Speaker 17>I was sad.

0:39:48.080 --> 0:39:48.319
<v Speaker 10>You don't.

0:39:48.360 --> 0:39:50.239
<v Speaker 17>I didn't think it was actually going to happen. And

0:39:50.280 --> 0:39:54.399
<v Speaker 17>I was surprised at my own emotion. And he added that, yes,

0:39:54.440 --> 0:39:57.920
<v Speaker 17>Elon Musk is brilliant, but nobody's brilliant about everything. And

0:39:58.080 --> 0:40:01.120
<v Speaker 17>I did talk to four former employer a couple who

0:40:01.160 --> 0:40:04.200
<v Speaker 17>were fired, one who was laid off, one who resigned,

0:40:04.320 --> 0:40:06.000
<v Speaker 17>and they were also sad. So I think there's this

0:40:06.120 --> 0:40:10.279
<v Speaker 17>level of grief at what could have been and the

0:40:10.360 --> 0:40:12.600
<v Speaker 17>idea that Twitter's never going to be what it once was,

0:40:12.640 --> 0:40:14.879
<v Speaker 17>even if it wasn't perfect right, even if it had

0:40:14.880 --> 0:40:16.880
<v Speaker 17>a lot of work to do, even if things needed

0:40:16.880 --> 0:40:19.640
<v Speaker 17>to be changed. You know, we're not going back to that.

0:40:19.719 --> 0:40:20.680
<v Speaker 17>I think it's going to be hard.

0:40:21.719 --> 0:40:23.920
<v Speaker 4>Emily, one of the few perks of this job is

0:40:23.960 --> 0:40:29.040
<v Speaker 4>that I've seen the full episode. No spoises here, but

0:40:29.200 --> 0:40:32.359
<v Speaker 4>you know, it's really authentic. You know, those are two

0:40:32.840 --> 0:40:37.160
<v Speaker 4>well known names. They balance kind of acknowledging that Twitter

0:40:37.200 --> 0:40:39.160
<v Speaker 4>needed to change with it was. It's not a success

0:40:39.239 --> 0:40:42.160
<v Speaker 4>so far. What else can we expect in this series

0:40:42.200 --> 0:40:45.520
<v Speaker 4>to come? What personalities, what kind of observations.

0:40:46.000 --> 0:40:48.080
<v Speaker 2>So you know, as you both.

0:40:48.000 --> 0:40:50.000
<v Speaker 17>Know, I've been I hosted this show for a really

0:40:50.040 --> 0:40:51.880
<v Speaker 17>long time, and it was so amazing to talk to

0:40:51.920 --> 0:40:52.960
<v Speaker 17>all of these people.

0:40:52.719 --> 0:40:54.520
<v Speaker 2>Over the course of twelve years.

0:40:54.560 --> 0:40:56.520
<v Speaker 17>What I really wanted to do with the circuit was

0:40:56.760 --> 0:40:58.600
<v Speaker 17>go out into the field and spend more time with

0:40:58.640 --> 0:41:01.880
<v Speaker 17>these people who are making huge decisions that are affecting

0:41:01.880 --> 0:41:04.160
<v Speaker 17>the lives of billions and billions of people. So, you know,

0:41:04.160 --> 0:41:07.120
<v Speaker 17>we're going into Brian Chesky, the CEO of Airbnb's Home.

0:41:07.520 --> 0:41:10.280
<v Speaker 17>We are talking to Bill Gurley over barbecue in Texas.

0:41:10.360 --> 0:41:13.280
<v Speaker 17>You're seeing Natalie Portman there, who just founded a women's

0:41:13.280 --> 0:41:15.960
<v Speaker 17>soccer team, talking about how to apply tech models to

0:41:16.040 --> 0:41:20.359
<v Speaker 17>women's sports. Sacha Nadella, We're going inside Open Ai, and

0:41:20.719 --> 0:41:22.839
<v Speaker 17>you know, it was just a huge opportunity to talk

0:41:22.880 --> 0:41:25.920
<v Speaker 17>about how tech is changing at this moment in time.

0:41:26.520 --> 0:41:28.480
<v Speaker 4>No spoilers, but Emily and I will be doing a

0:41:28.520 --> 0:41:31.239
<v Speaker 4>Twitter spaces at four pm easton one pm Pacific later

0:41:31.239 --> 0:41:33.840
<v Speaker 4>and we'll give you some more details. Emily Chang so

0:41:33.920 --> 0:41:36.600
<v Speaker 4>good to see new episodes of the circuit, airing every

0:41:36.640 --> 0:41:39.520
<v Speaker 4>Thursday ten pm Eastern on Bloomberg TV. You can also

0:41:39.600 --> 0:41:42.520
<v Speaker 4>catch you on the Bloomberg app eight pm Eastern, Bloomberg

0:41:42.560 --> 0:41:46.880
<v Speaker 4>dot Com, and the Companion Podcast. That's it for Bloomberg Technology.

0:41:47.680 --> 0:41:48.520
<v Speaker 3>This is Bloomberg