WEBVTT - Sam Bankman-Fried's Trial and Micron's Probe in China

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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.

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<v Speaker 2>Ed Love Love.

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<v Speaker 3>I'm Caroline Heide of Bloomberg's World headquarters in New York

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<v Speaker 3>and Lovelow. He's on assignment. This is Bloomberg Technology. Coming

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<v Speaker 3>up the trial of Sam Magman Freed. He kicks off

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<v Speaker 3>in Manhattan as he faces charges of swindling millions of

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<v Speaker 3>dollars from his crypto platform FTX. We of course will

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<v Speaker 3>have full coverage ahead. And as micro Versus is a

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<v Speaker 3>cybersecurity probe by the Chinese government, a bipartisan group of

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<v Speaker 3>US senators where they're looking to visit China to address

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<v Speaker 3>this very issue, we'll have more on the US China relations,

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<v Speaker 3>plus and artificial intelligence. Can it help hedge funds outperform?

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<v Speaker 3>The answer, well, that's not so so straightforward. For breakdown

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<v Speaker 3>the results in our Bloomberg Big Take later this hour,

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<v Speaker 3>But first let us check on these markets. We're looking

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<v Speaker 3>at strength in the US dollar as we anticipate maybe

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<v Speaker 3>a FED having to remain hawkish.

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<v Speaker 4>We're up some three tens a percent.

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<v Speaker 3>Look, this is the strongest the Dollar index has been

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<v Speaker 3>in about ten months.

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<v Speaker 4>Moving on, what does that mean? Well, for another key asset.

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<v Speaker 3>That we look at versus the US dollar, Bitcoin currently

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<v Speaker 3>on the lower side world by one point eight percent

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<v Speaker 3>on the day, and this is after we'd seen a

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<v Speaker 3>little bit of buying yesterday. So once again, is it

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<v Speaker 3>profit taking or is it also a look towards the

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<v Speaker 3>trial of Sam bagmuin freed what does the industry make

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<v Speaker 3>of it?

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<v Speaker 4>As it starts today? We know that he's.

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<v Speaker 3>Facing charges that he's sort of billions of dollars from

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<v Speaker 3>his crypto platform FTX. Let's go out to Kaylee Lines

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<v Speaker 3>for more, who is on the ground in front of

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<v Speaker 3>the U. S. District Courthouse and just tell us exactly

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<v Speaker 3>the state of play what we're anticipating today.

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<v Speaker 5>Kaylee, Well, today, Carolina, it really is all about jury selection.

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<v Speaker 5>This is just one step in what could be a

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<v Speaker 5>trial that plays out over the course of the next

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<v Speaker 5>six weeks at a maximum. Today they are looking at

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<v Speaker 5>potential jurors, vetting them as we see they have dismissed

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<v Speaker 5>a number already, and we understand the judge is hoping

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<v Speaker 5>to finish today, if not be finished by tomorrow morning,

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<v Speaker 5>and then once the jury has said it really will

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<v Speaker 5>get into the argument phase of this case. As you mentioned,

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<v Speaker 5>he is facing a number of charges related to fraud

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<v Speaker 5>and money laundering.

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<v Speaker 4>Seven in total.

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<v Speaker 5>If convicted of the maximum sentence, he could spend the

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<v Speaker 5>rest of his life in prison. We could be looking

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<v Speaker 5>at a sentence here of over one hundred years if convicted.

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<v Speaker 5>He of course has pleaded not guilty. But really, over

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<v Speaker 5>the course of this trial is when we're going to

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<v Speaker 5>see a lot of the facts of the case born out,

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<v Speaker 5>both from the prosecution and then of course the defense.

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<v Speaker 5>Sam bankman Fried has frequently said it was never his

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<v Speaker 5>intent to commit fraud on anyone, and.

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<v Speaker 3>Of course this has ramifications for those who are watching

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<v Speaker 3>exposure with FTX, but more broadly crypto as a whole.

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<v Speaker 4>Of course, on the shining like.

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<v Speaker 3>Within our crypto show that's playing out later, Kaylee, What

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<v Speaker 3>does the industry make of all of this?

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<v Speaker 4>Are they waiting with beta breath? Yeah?

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<v Speaker 5>In many ways, Caroline, the industry already has been grappling

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<v Speaker 5>with the after effects of FTX and alimeter researches, enclosure

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<v Speaker 5>and the allegations that were made against Sam bankman Free.

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<v Speaker 5>Because we have to keep in mind this individual, we

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<v Speaker 5>are referring to this thirty one year old was not

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<v Speaker 5>just the CEO of FTX, he was also a leading

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<v Speaker 5>voice for the crypto industry as a whole. He frequently

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<v Speaker 5>appeared on Capitol Hill lobby before lawmakers for the industry.

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<v Speaker 5>He was seen as one of the most credible voices

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<v Speaker 5>in the business, and so when all of that imploded,

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<v Speaker 5>the credibility of the wider industry really did take a hit. Now,

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<v Speaker 5>this could be somewhat of a cathartic moment for the

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<v Speaker 5>industry once this trial is wrapped up and they can

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<v Speaker 5>kind of put the issue to bed.

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<v Speaker 4>But I think in a lot of.

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<v Speaker 5>Ways, the industry is still dealing with the after effects,

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<v Speaker 5>still trying to recover, re establish some of the credibility

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<v Speaker 5>as there's a lot of regulatory and legislative effort underway

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<v Speaker 5>in Washington, and the Sam Bankman free aftertaste may still

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<v Speaker 5>be lingering in some ways, and this trial could really

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<v Speaker 5>revive a lot of that dirty laundry a well.

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<v Speaker 3>Put kayleie lyones, thank you. We appreciate the coverage throughout

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<v Speaker 3>the day, and we want to now bring you some

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<v Speaker 3>expertise him in terms of what this does mean for

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<v Speaker 3>the industry regulation written Lard also central bank adoption. Ishua

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<v Speaker 3>prasadam pleased to say, Cornell University professor of Trade Policy

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<v Speaker 3>is with us.

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<v Speaker 4>And of course, most.

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<v Speaker 3>Notably you have worked for the IMM the International Monetary Fund.

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<v Speaker 4>But also you're the author of the.

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<v Speaker 3>Future of money, how the digital revolution is trans forming

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<v Speaker 3>currencies and finance. What does this particular lawsuit, this particular

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<v Speaker 3>moment in history mean for the adoption more broadly of

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<v Speaker 3>crypto do you think.

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<v Speaker 1>So, Caroline.

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<v Speaker 6>As Katie correctly pointed out, the industry is hoping that

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<v Speaker 6>this will be a cathartic moment in the sense of

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<v Speaker 6>cleaning out some of the Charlattans and perhaps also providing

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<v Speaker 6>some regulatory clarity if regulators do move forward.

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<v Speaker 1>But the reality is.

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<v Speaker 6>That Sambangmenfield again was seen as a messiah in some

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<v Speaker 6>of these circles, and he was seen as delivering on

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<v Speaker 6>some of the promises of decentralized finance.

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<v Speaker 1>Now, what the FTX collapse.

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<v Speaker 6>Really shows is how far the no of bitcoin and

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<v Speaker 6>decentralized finance, which was supposed to turn away from traditional

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<v Speaker 6>financial institutions, how far it has strayed from that promise.

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<v Speaker 1>In effect, what we are seeing is that many of the.

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<v Speaker 6>Problems of traditional finance are being imported into the cryptocurrency world,

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<v Speaker 6>in particular centralization in the form of exchanges like ftx,

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<v Speaker 6>which becomes single points of failure, and the notion that

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<v Speaker 6>we can actually have decentralized trust, which is the whole

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<v Speaker 6>underpinning of bitcoin, doesn't quite seem to be bearing out,

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<v Speaker 6>because we are seeing that people seem to want to

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<v Speaker 6>hold their crypto assets in centralized exchanges like ftx, where

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<v Speaker 6>they also undertake trading activities. So right now we seem

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<v Speaker 6>to be seeing a lot more centralization rather than decentralization.

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<v Speaker 4>That's interesting.

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<v Speaker 3>Where could we see an optimization of decentralized exchanges they

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<v Speaker 3>do exist, there's unis what for example, how are we

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<v Speaker 3>seeing a movement towards that future of crypto at all.

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<v Speaker 6>I think we are beginning to see a bit of

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<v Speaker 6>a bifurcation. There are many people who view bitcoin and

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<v Speaker 6>other cryptocurrencies as financial assets really, and those are the people,

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<v Speaker 6>including many somewhat nie retail investors, who seem to be

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<v Speaker 6>taking the speculative approach to cryptocurrencies and they're holding onto

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<v Speaker 6>these assets. But at the same time there is actually

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<v Speaker 6>a rather vibrant market of decentralized finance, which so far

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<v Speaker 6>has not really delivered and its promise of democratizing finance.

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<v Speaker 6>It's created a lot of financial engineering, speculation and so forth.

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<v Speaker 6>But I think there is real promise there that with

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<v Speaker 6>blockchain technology we might be able to move to a

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<v Speaker 6>world where we no longer rely on traditional institutions, where

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<v Speaker 6>blockchain based finance through smart contracts and so on, can

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<v Speaker 6>make financial systems a lot more efficient.

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<v Speaker 4>What is necessary to get there?

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<v Speaker 3>Is it clear regulation, not just in the US, but

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<v Speaker 3>more globally.

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<v Speaker 6>Regulation is certainly going to be needed, Carol, And I

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<v Speaker 6>think regulation that creates guard rails, so that first of all,

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<v Speaker 6>you have some of the basic elements of financial stability,

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<v Speaker 6>institution specific stability as well as systemic stability taken care of,

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<v Speaker 6>investor protection considerations taken care of, and most importantly, guardrails

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<v Speaker 6>to make sure that we don't have excessive concentration in

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<v Speaker 6>the space or decentralized finance being used purely for speculation

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<v Speaker 6>or for illicit transactions of various sorts.

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<v Speaker 1>And I think the.

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<v Speaker 6>Notion of the industry policing itself through technology, I think

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<v Speaker 6>it's not going to work. We are going to need

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<v Speaker 6>some guardrails, and the question is how best do we

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<v Speaker 6>set up those guardrails without stifling the innovation together. I

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<v Speaker 6>think there are steps being taken in many jurisdictions, including

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<v Speaker 6>the US, but we are still a long way away

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<v Speaker 6>from the right sort of regulatory environment so that we

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<v Speaker 6>can get this ecosystem to foster and thrive without necessarily

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<v Speaker 6>creating illegal and illicit activities.

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<v Speaker 3>Sure give us your therefore birds eye perspective, your global

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<v Speaker 3>expertise here, because are there areas where you think leading

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<v Speaker 3>the charge in terms of a best fit regulatory environment.

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<v Speaker 6>Now, Europe, the United Kingdom, and Japan have move forward

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<v Speaker 6>in terms of at least trying to define various categories

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<v Speaker 6>of cryptocurrencies and crypto assets more broadly, and that's certainly

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<v Speaker 6>helpful as a start, but I think a Caroline, there

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<v Speaker 6>is really still a sort of conceptual struggle going on

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<v Speaker 6>in terms of trying to decide whether one can take

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<v Speaker 6>existing regulatory frameworks and fit these new products into them,

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<v Speaker 6>or if these are new technologies that require completely different

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<v Speaker 6>regulatory frameworks. One thing that is becoming clear is that

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<v Speaker 6>these are not the traditional sorts of products. They do

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<v Speaker 6>have spilloversts into traditional financial systems, and they're going to

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<v Speaker 6>need a coordinator approach at the global level rather than

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<v Speaker 6>fragmented approaches at the national level. So we're making progress,

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<v Speaker 6>but very slowly.

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<v Speaker 3>What does the role of the central banks have here, Ishue,

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<v Speaker 3>I know this is something you've looked in more broadly

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<v Speaker 3>because of the digital revolution, as you call it in

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<v Speaker 3>your book, how it's impacting currencies more broadly.

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<v Speaker 6>I think the biggest legacy of cryptocurrencies really is going

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<v Speaker 6>to be that they have shown a pretty harsh light

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<v Speaker 6>into the inefficiencies of traditional financial systems, especially international payments.

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<v Speaker 1>Now central banks are responding.

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<v Speaker 6>To this, partly through regulat reactions, but partly also by

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<v Speaker 6>fostering better forms of digital payments that are much more inclusive.

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<v Speaker 6>In many parts of the world, payments are largely digital already,

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<v Speaker 6>with physical currency or cash not playing a big role.

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<v Speaker 6>So many central banks are moving towards central bank digital

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<v Speaker 6>currencies that can be.

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<v Speaker 1>Used for retailed payments.

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<v Speaker 6>In the US, it is catalyzed action by the effect

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<v Speaker 6>to move towards a suite of better wholesale and retail.

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<v Speaker 1>Payments in the form of FED now.

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<v Speaker 6>So I think a lot of nice changes are brewing

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<v Speaker 6>in financial systems, including in domestic international payments thanks to

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<v Speaker 6>crypto currencies. But whether crypto currencies themselves will play a

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<v Speaker 6>very important role in this I think remains.

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<v Speaker 1>To be seen.

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<v Speaker 3>There is therefore this sort of tension between generally a

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<v Speaker 3>centralized version of what the utopia is of purity centralization

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<v Speaker 3>and then and of course there's the need for regulation.

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<v Speaker 3>Well broadly, when you've written a book about this, when

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<v Speaker 3>we've seen the highs and the lows of exuberance around

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<v Speaker 3>crypto die off, how many people are still asking you

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<v Speaker 3>for your guidance?

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<v Speaker 4>How many years do you think this wi ultimately take.

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<v Speaker 6>I think there is a fundamental shift in terms of

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<v Speaker 6>digitization of payments as I mentioned, but also you know,

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<v Speaker 6>the ability for financial institutions to conduct existing forms of

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<v Speaker 6>business in more efficient ways, but also to foster more

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<v Speaker 6>competition among financial systems. And certainly, as we see cross

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<v Speaker 6>boarder finance become much more friction free thanks to these

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<v Speaker 6>new technologies which are being adopted even by traditional financial institutions,

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<v Speaker 6>I think we will see significant efficiency gains.

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<v Speaker 1>The real concern is whether.

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<v Speaker 6>Like in the cryptocurrency EQUL system, we end up seeing

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<v Speaker 6>even more concentration in traditional finance because existing incumbents could

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<v Speaker 6>end up using these technologies to their advantage. And I

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<v Speaker 6>think this is where regulators will play a very important

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<v Speaker 6>role to make sure that regulations don't just become a

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<v Speaker 6>barrier to entry for new financial firms, but just create

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<v Speaker 6>new guard rails for this innovation to thrive.

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<v Speaker 3>Asuan really great to get your expertise as an author

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<v Speaker 3>and of course as a professor a trade policy over

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<v Speaker 3>at Cornell University issue process there, we thank you. Meanwhile,

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<v Speaker 3>coming up, look, we're going to talk about the future

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<v Speaker 3>of regulations slightly differently. Here US senators hoping to meet

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<v Speaker 3>the Treasure and present changing paying in China next week,

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<v Speaker 3>and that's just talks about Micron are clearly on the agenda.

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<v Speaker 3>We're going to unpack what the congressional leaders hope to

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<v Speaker 3>accomplish on their visit. Meanwhile, let's head over to Asia.

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<v Speaker 3>When we're looking at one particular stock, we have seen

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<v Speaker 3>the trading of it here in the United States, of course,

0:12:12.440 --> 0:12:16.640
<v Speaker 3>American depository receipts of TSMC now notable that this stock

0:12:16.720 --> 0:12:20.360
<v Speaker 3>has eraised seventy seven million dollars of its market cap

0:12:20.559 --> 0:12:23.760
<v Speaker 3>since the June high. It's basically well lost more value

0:12:23.800 --> 0:12:27.040
<v Speaker 3>than any other Asia traded stock. We're bracing for their

0:12:27.080 --> 0:12:29.880
<v Speaker 3>earnings October the nineteenth, but also for the prolonged weakness

0:12:29.880 --> 0:12:30.520
<v Speaker 3>in the chip sector.

0:12:30.520 --> 0:12:33.000
<v Speaker 4>We're currently under pressure once again. Today. This is Bluebog

0:12:33.040 --> 0:12:49.920
<v Speaker 4>technology time. Now for talking tech.

0:12:49.960 --> 0:12:53.240
<v Speaker 3>First up, several Taiwan based tech firms. We're actually helping

0:12:53.320 --> 0:12:57.080
<v Speaker 3>Huawei build a secret network of chip plants across southern China.

0:12:57.400 --> 0:13:00.720
<v Speaker 3>Now it's unclear whether the company's potential involvement violates American

0:13:00.800 --> 0:13:03.760
<v Speaker 3>sanctions because of just how complex the curbs against Huawei are,

0:13:03.800 --> 0:13:06.560
<v Speaker 3>but Huawei did not respond to a request for comment

0:13:06.679 --> 0:13:09.880
<v Speaker 3>on Bloomberg story. Meanwhile, Japan is approving as much as

0:13:09.960 --> 0:13:14.120
<v Speaker 3>one point three billion dollars in subsidies for Micron's Hiroshim factory.

0:13:14.360 --> 0:13:17.880
<v Speaker 3>This will help Micron install ASML that's the European maker

0:13:17.920 --> 0:13:21.360
<v Speaker 3>of equipment. It's extreme ultra violet lithography equipment used to

0:13:21.360 --> 0:13:22.160
<v Speaker 3>make advanced chips.

0:13:22.240 --> 0:13:23.479
<v Speaker 4>That the approval marks.

0:13:23.240 --> 0:13:26.360
<v Speaker 3>A win for Micron as it grapples with uncertainty in China,

0:13:26.559 --> 0:13:29.080
<v Speaker 3>one of its largest markets. And also on Micron, and

0:13:29.160 --> 0:13:31.600
<v Speaker 3>let's talk about that Chinese relationship. A bipartisan group of

0:13:31.679 --> 0:13:34.520
<v Speaker 3>US senators hope to meet President Hujinping in China next

0:13:34.559 --> 0:13:38.400
<v Speaker 3>week with discussions about Micron being top of Maligne. The delegation,

0:13:38.720 --> 0:13:42.559
<v Speaker 3>led by Senate Majority Leader Chuck Schumer and Republican Micropo,

0:13:43.000 --> 0:13:45.680
<v Speaker 3>will raise the issue of Micron's ability to do business

0:13:45.720 --> 0:13:48.280
<v Speaker 3>in China. It's all according to Bloomberg sources, Micron faces

0:13:48.360 --> 0:13:52.079
<v Speaker 3>an ongoing probe by the Chinese government cybersecurity administration. And

0:13:52.120 --> 0:13:54.080
<v Speaker 3>we want to get more on this entire story with

0:13:54.120 --> 0:13:57.439
<v Speaker 3>amriy Horden co host a balance of power and I mean, ultimately,

0:13:57.480 --> 0:13:59.640
<v Speaker 3>how likely is it that these senators will actually meet

0:13:59.679 --> 0:14:00.480
<v Speaker 3>with Jingping.

0:14:02.240 --> 0:14:05.840
<v Speaker 7>Well, we do know from an interview our colleagues had

0:14:05.880 --> 0:14:10.040
<v Speaker 7>with Senator Mike Crapo that that is one ask, But

0:14:10.240 --> 0:14:13.400
<v Speaker 7>so far at this moment, Chijingping has not guaranteed that meeting.

0:14:13.559 --> 0:14:15.199
<v Speaker 7>There's going to be a flurry of meeting when these

0:14:15.520 --> 0:14:18.120
<v Speaker 7>group of by Parson senators go over to Beijing.

0:14:18.480 --> 0:14:19.680
<v Speaker 4>We do know that in twenty.

0:14:19.560 --> 0:14:23.280
<v Speaker 7>Fifteen, Shijingping did sit down with a number of congressional

0:14:23.320 --> 0:14:26.840
<v Speaker 7>leaders on a state visit. But normally these trips, what

0:14:26.880 --> 0:14:29.800
<v Speaker 7>you would see is that senators or any sort of lawmakers,

0:14:29.800 --> 0:14:33.360
<v Speaker 7>a cabinet minister. They would meet with other ministers within

0:14:33.800 --> 0:14:37.920
<v Speaker 7>the Chinese Communist Party government apparatus, but not Sijingping himself.

0:14:37.960 --> 0:14:42.320
<v Speaker 7>But potentially a she meeting could be on the agenda,

0:14:42.360 --> 0:14:45.520
<v Speaker 7>and this could also open up the door for that

0:14:45.600 --> 0:14:49.080
<v Speaker 7>Biden Shijingping also potential meeting that could happen in November

0:14:49.120 --> 0:14:49.680
<v Speaker 7>at APAK.

0:14:49.960 --> 0:14:51.000
<v Speaker 2>So that's the first thing.

0:14:51.040 --> 0:14:53.840
<v Speaker 7>Potentially there's a she meeting with these by Parson group.

0:14:53.680 --> 0:14:55.120
<v Speaker 4>Of senators, the others.

0:14:55.120 --> 0:14:57.440
<v Speaker 7>Of course, what's brought up, So Senator Schumer said, other

0:14:57.480 --> 0:14:59.720
<v Speaker 7>things will be brought up, like human rights, like fetanyl.

0:15:00.040 --> 0:15:02.760
<v Speaker 7>But we do know that Micron is really important for

0:15:02.800 --> 0:15:06.240
<v Speaker 7>both these this vice partisan group, not just where Micron

0:15:06.280 --> 0:15:09.800
<v Speaker 7>is headquartered, but where they're potentially going to build new factories.

0:15:09.840 --> 0:15:12.000
<v Speaker 7>One is going to be put in New York. And

0:15:12.160 --> 0:15:15.000
<v Speaker 7>Micron came out over the summer saying about half of

0:15:15.040 --> 0:15:18.040
<v Speaker 7>their sales are linked to companies headquartered in China.

0:15:18.480 --> 0:15:20.920
<v Speaker 4>This cybersecurity review has been a huge.

0:15:20.640 --> 0:15:22.680
<v Speaker 7>Deal on this company, whether or not how much they

0:15:22.680 --> 0:15:25.400
<v Speaker 7>could do business in China, but also on their revenue.

0:15:25.680 --> 0:15:27.920
<v Speaker 3>I mean, what is it about half of its China

0:15:27.960 --> 0:15:29.040
<v Speaker 3>sales seem to be at risk?

0:15:29.040 --> 0:15:30.480
<v Speaker 4>At the moment. So you're reminding us.

0:15:30.360 --> 0:15:34.560
<v Speaker 3>At Crapo's course of showing the support of Boise Idaho.

0:15:34.640 --> 0:15:36.640
<v Speaker 4>You've got Chuck Schumer of New York.

0:15:37.240 --> 0:15:41.080
<v Speaker 3>But why coalesces around this particular company this particular moment,

0:15:41.080 --> 0:15:44.680
<v Speaker 3>What does it say more broadly about US China tech relations.

0:15:44.240 --> 0:15:47.560
<v Speaker 4>Because it's disintegrating sort of across the board. Well, it

0:15:47.600 --> 0:15:48.520
<v Speaker 4>has disintegrated.

0:15:48.880 --> 0:15:51.960
<v Speaker 7>Part of the Chinese government will say that is because

0:15:52.000 --> 0:15:55.520
<v Speaker 7>of the export controls and the other penalties and sanctions

0:15:55.800 --> 0:15:59.240
<v Speaker 7>that you're seeing from this administration. This administration, the Biden

0:15:59.240 --> 0:16:01.320
<v Speaker 7>administration has been very clear they want to take a

0:16:01.400 --> 0:16:03.800
<v Speaker 7>narrow approach, but they do want to make sure that

0:16:03.880 --> 0:16:06.960
<v Speaker 7>China is unable to get their hands on critical tech

0:16:07.160 --> 0:16:11.000
<v Speaker 7>that potentially China could use to bolster their military. So

0:16:11.080 --> 0:16:13.440
<v Speaker 7>many see that what China has been doing in terms

0:16:13.440 --> 0:16:17.320
<v Speaker 7>of the Cybersecurity administration looking at what's going on in micron,

0:16:17.600 --> 0:16:20.280
<v Speaker 7>they view that as a tit for tat coming back

0:16:20.320 --> 0:16:23.160
<v Speaker 7>to the United States about what they did, what they're

0:16:23.200 --> 0:16:28.160
<v Speaker 7>doing when it comes to US technology that companies want

0:16:28.200 --> 0:16:30.760
<v Speaker 7>to get their hands on in China. So it does

0:16:30.840 --> 0:16:32.640
<v Speaker 7>feel like is an all time low, which is why

0:16:32.680 --> 0:16:35.360
<v Speaker 7>if these Senators were to meet with Shijing Ping, it

0:16:35.440 --> 0:16:37.720
<v Speaker 7>potentially could help thaw some of that, especially when it.

0:16:37.720 --> 0:16:38.400
<v Speaker 4>Comes to Micron.

0:16:38.840 --> 0:16:41.640
<v Speaker 3>Why to Micron is still coming full sackle. We thank

0:16:41.640 --> 0:16:43.760
<v Speaker 3>you so much, Blue Mix Amory Holden with a breakdown.

0:16:43.760 --> 0:16:52.840
<v Speaker 2>Then this, in my.

0:16:52.840 --> 0:16:59.280
<v Speaker 8>Opinion, is going to be a super huge impact general

0:16:59.520 --> 0:17:02.800
<v Speaker 8>AI and so on. It can have an enormously beneficial

0:17:03.280 --> 0:17:04.960
<v Speaker 8>productivity impact.

0:17:06.960 --> 0:17:09.280
<v Speaker 3>Ray Dally there with our own David Weston talking about

0:17:09.320 --> 0:17:13.200
<v Speaker 3>the impact of AI, but sticking with more broadly artificial intelligence,

0:17:13.320 --> 0:17:15.320
<v Speaker 3>how it's up ending many industries, and we keep talking

0:17:15.359 --> 0:17:16.000
<v Speaker 3>about on the show.

0:17:16.000 --> 0:17:17.760
<v Speaker 4>But when it comes to actually hedge.

0:17:17.520 --> 0:17:21.600
<v Speaker 3>Funds like Bridgewater Associates, many money managers just answering the

0:17:21.640 --> 0:17:25.119
<v Speaker 3>technology actually lead to outperformance. It's a subject of today's

0:17:25.119 --> 0:17:26.959
<v Speaker 3>Bloomberg Big Take, and one place to say that one

0:17:26.960 --> 0:17:29.199
<v Speaker 3>of the authors is with us Bloomberg's Justina Lee and

0:17:30.200 --> 0:17:32.560
<v Speaker 3>fascinating deep dive that you do to show that at

0:17:32.600 --> 0:17:36.080
<v Speaker 3>the moment, while all these stocks are worring higher on

0:17:36.119 --> 0:17:39.879
<v Speaker 3>the back of AI bets, actually deploying AI within the

0:17:39.960 --> 0:17:42.800
<v Speaker 3>stock picking industry is pretty hard to do, right.

0:17:44.119 --> 0:17:44.840
<v Speaker 4>Yeah, exactly.

0:17:45.000 --> 0:17:47.560
<v Speaker 9>I mean, it really is the irony of this year's

0:17:47.600 --> 0:17:50.320
<v Speaker 9>stock market. And I think what a lot of investors

0:17:50.320 --> 0:17:53.680
<v Speaker 9>are discovering is that financial data is very different from

0:17:53.760 --> 0:17:56.639
<v Speaker 9>a lot of other kinds of data because it's a

0:17:56.640 --> 0:17:59.800
<v Speaker 9>bit like if you were training Chad GPT and like gibberish,

0:18:00.000 --> 0:18:02.080
<v Speaker 9>because if you look at you know, what is moving

0:18:02.440 --> 0:18:04.879
<v Speaker 9>the SMP five hundred every day. I mean, there's so

0:18:05.000 --> 0:18:07.920
<v Speaker 9>much noise in there that you're just kind of pushing

0:18:07.960 --> 0:18:10.280
<v Speaker 9>all that data through the machine. I mean, the machine

0:18:10.320 --> 0:18:12.960
<v Speaker 9>is picking up a lot of noise which might not

0:18:13.080 --> 0:18:16.119
<v Speaker 9>be that helpful in helping you predict what happens, you know,

0:18:16.160 --> 0:18:18.840
<v Speaker 9>to the SMP tomorrow. And I think that is the

0:18:19.000 --> 0:18:21.320
<v Speaker 9>problem that a lot of hedge funds are running into.

0:18:21.400 --> 0:18:24.600
<v Speaker 9>But that's definitely not stopping a lot of quantitative investors

0:18:24.600 --> 0:18:26.440
<v Speaker 9>from trying to like crack that puzzle.

0:18:26.720 --> 0:18:28.800
<v Speaker 3>And they've actually been trying to crack the puzzle for

0:18:28.880 --> 0:18:32.359
<v Speaker 3>long before Chatch GPT became part of our Lexican RT.

0:18:32.520 --> 0:18:34.480
<v Speaker 3>Justina and talk to us about some of the individuals

0:18:34.480 --> 0:18:36.480
<v Speaker 3>who spoke to in particularly the co founder of Research

0:18:36.520 --> 0:18:39.280
<v Speaker 3>Affiliates went off and founded in twenty sixteen, I think

0:18:39.400 --> 0:18:42.280
<v Speaker 3>was it reliant Global Advisors and AI driven sort of

0:18:42.480 --> 0:18:46.080
<v Speaker 3>quin fund, and well he was really upended during the

0:18:46.119 --> 0:18:48.520
<v Speaker 3>COVID crisis, right, because there's just no data for that.

0:18:50.320 --> 0:18:52.880
<v Speaker 9>Yeah, I think the COVID crisis is a great illustration

0:18:53.040 --> 0:18:56.240
<v Speaker 9>of why AI is really hard on finance, because you know,

0:18:56.320 --> 0:18:58.240
<v Speaker 9>the English language is not that different.

0:18:58.280 --> 0:18:59.440
<v Speaker 4>You know, one hundred years.

0:18:59.280 --> 0:19:01.520
<v Speaker 9>Ago from now, cats and dogs have looked the same,

0:19:01.560 --> 0:19:04.720
<v Speaker 9>and that's why our iPhone can kind of recognize animals.

0:19:05.119 --> 0:19:06.919
<v Speaker 9>But you know, when it comes to financial data, there

0:19:06.920 --> 0:19:09.639
<v Speaker 9>are a lot of regime changes. But I think the

0:19:09.720 --> 0:19:11.800
<v Speaker 9>hope for a lot of people like Jason you know,

0:19:12.600 --> 0:19:15.359
<v Speaker 9>who's the co founder of Research Affiliates, who is a

0:19:15.400 --> 0:19:18.800
<v Speaker 9>convert to using machine learning in finance, is that he's

0:19:18.880 --> 0:19:21.360
<v Speaker 9>hoping if you feed a lot of the data into

0:19:21.400 --> 0:19:24.639
<v Speaker 9>the machines, they're kind of picking up how the environment

0:19:24.720 --> 0:19:27.359
<v Speaker 9>is changing as well, and that will make his systems

0:19:27.480 --> 0:19:30.840
<v Speaker 9>more adaptive. And that is sort of I think the

0:19:30.960 --> 0:19:33.000
<v Speaker 9>dream of a lot of people that are trying to

0:19:33.040 --> 0:19:35.000
<v Speaker 9>apply machine learning in finance.

0:19:35.760 --> 0:19:36.359
<v Speaker 4>At the moment.

0:19:36.359 --> 0:19:40.720
<v Speaker 3>Though with AI, with all the issues with the data

0:19:40.840 --> 0:19:44.320
<v Speaker 3>garbaging garbage out, are we able to still see that

0:19:44.560 --> 0:19:48.480
<v Speaker 3>quant funds and indeed, just AI driven ways of stop

0:19:48.520 --> 0:19:51.600
<v Speaker 3>picking is kind of okay compared to people. Are we

0:19:51.640 --> 0:19:53.080
<v Speaker 3>already seeing jobs being lost?

0:19:55.560 --> 0:19:57.600
<v Speaker 4>Yeah, I think for now, not just yet.

0:19:57.640 --> 0:20:00.160
<v Speaker 9>I mean, if we look at the track record of

0:20:00.240 --> 0:20:03.560
<v Speaker 9>AI hetch funds, you know, there is a hedge fund index.

0:20:03.600 --> 0:20:05.679
<v Speaker 9>I mean, they're not really doing much better than the

0:20:05.720 --> 0:20:09.119
<v Speaker 9>hedge fund industry overall, and so it's not obvious that

0:20:09.160 --> 0:20:12.680
<v Speaker 9>they're necessarily better than humans. But one perspective I've heard

0:20:12.720 --> 0:20:15.080
<v Speaker 9>from reporting this story is that in a way they

0:20:15.080 --> 0:20:17.040
<v Speaker 9>don't need to be better than humans. I mean, if

0:20:17.080 --> 0:20:19.959
<v Speaker 9>you can kind of run a portfolio that does just

0:20:19.960 --> 0:20:23.159
<v Speaker 9>as better but with far fewer humans, that might already

0:20:23.200 --> 0:20:25.960
<v Speaker 9>be more efficient. And I think we kind of, you know,

0:20:26.080 --> 0:20:28.240
<v Speaker 9>zoom out a little bit and look at kind of

0:20:28.280 --> 0:20:31.400
<v Speaker 9>the use of AI in terms of productivity hacks. I mean,

0:20:31.440 --> 0:20:34.200
<v Speaker 9>everywhere on Wall Street we're seeing a lot of uses

0:20:34.240 --> 0:20:37.920
<v Speaker 9>for you know, using something like chat GPT to summarize research,

0:20:38.040 --> 0:20:40.560
<v Speaker 9>to like write the code, or there are now a

0:20:40.560 --> 0:20:43.080
<v Speaker 9>lot of efforts in using kind of these machines to

0:20:43.200 --> 0:20:45.359
<v Speaker 9>like read the news that we write, or kind of

0:20:45.359 --> 0:20:47.800
<v Speaker 9>read tweets that we post and to try to kind

0:20:47.840 --> 0:20:50.600
<v Speaker 9>of turn those into trading signals. And so I think

0:20:50.600 --> 0:20:52.879
<v Speaker 9>there are a lot of uses, even if not everyone's

0:20:52.960 --> 0:20:56.800
<v Speaker 9>kind of using AI to try to beat markets in finance.

0:20:56.840 --> 0:20:58.959
<v Speaker 3>You'd be very successful by just being a little bit

0:20:58.960 --> 0:20:59.879
<v Speaker 3>better than fifty percent.

0:21:00.119 --> 0:21:01.320
<v Speaker 4>That's a great quote in your story.

0:21:01.400 --> 0:21:08.480
<v Speaker 3>Well, thank you so much, DestinE Eli.

0:21:10.760 --> 0:21:13.080
<v Speaker 4>Welcome back to New bag Technology. Let's get back to.

0:21:13.040 --> 0:21:15.520
<v Speaker 3>Some of that indiosyncratic news when it comes to SPF

0:21:15.600 --> 0:21:18.600
<v Speaker 3>Sam by Manfred. He has charged with seven counts of

0:21:18.720 --> 0:21:20.639
<v Speaker 3>ford and money laundering. We know a case that has

0:21:20.680 --> 0:21:23.159
<v Speaker 3>been going on for nearly a year now, So how

0:21:23.200 --> 0:21:25.920
<v Speaker 3>do we get here? Some quick reminder, Katie Lyon's got

0:21:25.920 --> 0:21:28.760
<v Speaker 3>the breakdown on the series of unfolding events.

0:21:30.680 --> 0:21:31.040
<v Speaker 9>Granted.

0:21:31.040 --> 0:21:31.760
<v Speaker 2>I thank you guys.

0:21:31.800 --> 0:21:34.520
<v Speaker 5>In the span of three years, Sam Bankman Freed became

0:21:34.560 --> 0:21:37.919
<v Speaker 5>one of crypto's biggest stars. In May twenty nineteen, Bankman,

0:21:38.000 --> 0:21:42.480
<v Speaker 5>Freed and business partner Gary Wong founded FTX. It's goal

0:21:42.760 --> 0:21:46.200
<v Speaker 5>to create a safe and responsible platform for traders. By

0:21:46.240 --> 0:21:50.520
<v Speaker 5>October twenty twenty one, venture capitalists had poured millions into FTX,

0:21:50.760 --> 0:21:53.959
<v Speaker 5>and a list celebrities like former NBA player Shaquille O'Neill,

0:21:54.119 --> 0:21:57.520
<v Speaker 5>model Gisel Buncheon, and comedian Larry David had endorsed it.

0:21:57.640 --> 0:22:00.000
<v Speaker 5>That same year, the firm was valued at twenty five

0:22:00.040 --> 0:22:03.000
<v Speaker 5>five billion dollars, and users soared to more than five

0:22:03.080 --> 0:22:05.920
<v Speaker 5>million globally, at least one point two million of them

0:22:06.000 --> 0:22:09.399
<v Speaker 5>in the US. The ftx's name became well known, appearing

0:22:09.480 --> 0:22:13.000
<v Speaker 5>on T shirts, in commercials, and even on an NBA arena.

0:22:13.160 --> 0:22:16.400
<v Speaker 5>By early twenty twenty two, the Bahamas based company's valuation

0:22:16.560 --> 0:22:20.400
<v Speaker 5>skyrocketed to thirty two billion dollars. FTX had become one

0:22:20.400 --> 0:22:23.800
<v Speaker 5>of the world's biggest crypto exchanges. Big Benfried's net worth

0:22:23.840 --> 0:22:26.520
<v Speaker 5>climbed to twenty six billion dollars, and he said he

0:22:26.600 --> 0:22:30.160
<v Speaker 5>wanted to do good with his money, following effective altruism.

0:22:30.600 --> 0:22:32.080
<v Speaker 4>I both think it's not what I should do with

0:22:32.119 --> 0:22:32.440
<v Speaker 4>my money.

0:22:32.440 --> 0:22:33.679
<v Speaker 2>I think I should be thinking about how I can

0:22:33.720 --> 0:22:34.480
<v Speaker 2>help the world with it.

0:22:34.600 --> 0:22:37.560
<v Speaker 5>The then thirty year old also became a major political donor.

0:22:37.800 --> 0:22:41.560
<v Speaker 5>He contributed tens of millions to bipartisan political action committees

0:22:41.800 --> 0:22:44.239
<v Speaker 5>and frequented Capitol Hill to be a voice for his

0:22:44.320 --> 0:22:47.679
<v Speaker 5>company and be industry. At the time, he had no

0:22:47.800 --> 0:22:49.000
<v Speaker 5>plans to slow down.

0:22:49.520 --> 0:22:50.800
<v Speaker 10>I'm going to be here for the long term.

0:22:50.800 --> 0:22:53.359
<v Speaker 2>I have no plans to leave. You know, that is

0:22:53.400 --> 0:22:55.040
<v Speaker 2>not something that is on MI drive.

0:22:55.359 --> 0:22:58.760
<v Speaker 5>But in November of twenty twenty two, things began to unravel.

0:22:58.960 --> 0:23:01.639
<v Speaker 5>Coindesk reported that the crypto hedge fund Bankment Freed had

0:23:01.680 --> 0:23:05.120
<v Speaker 5>also founded, Alometer Research, had a significant portion of its

0:23:05.160 --> 0:23:09.080
<v Speaker 5>assets made up of FTT, a token that FTX created.

0:23:09.440 --> 0:23:13.000
<v Speaker 5>In response. On November sixth, CZ, the CEO of rival

0:23:13.000 --> 0:23:17.040
<v Speaker 5>crypto exchange Finance, posted to social media saying quote, we

0:23:17.119 --> 0:23:20.680
<v Speaker 5>have decided to liquidate any remaining FTT on our books.

0:23:20.800 --> 0:23:23.879
<v Speaker 5>The move triggered a massive wave of withdrawals, sort of

0:23:23.960 --> 0:23:26.520
<v Speaker 5>like a run on the bank, and FTX didn't have

0:23:26.600 --> 0:23:30.000
<v Speaker 5>the funds to meet them. In a rescue attempt, FTX

0:23:30.040 --> 0:23:33.080
<v Speaker 5>reached a deal with Finance to sell itself, but Finance

0:23:33.160 --> 0:23:33.640
<v Speaker 5>backed out.

0:23:33.920 --> 0:23:35.040
<v Speaker 2>We became very quickly.

0:23:35.119 --> 0:23:37.280
<v Speaker 6>There was a lot of funds missing, like on to

0:23:37.359 --> 0:23:39.680
<v Speaker 6>the tunes of double digit billies.

0:23:39.720 --> 0:23:42.120
<v Speaker 1>I couldn't trust any of the information in the data room,

0:23:42.320 --> 0:23:42.760
<v Speaker 1>so by.

0:23:42.640 --> 0:23:47.399
<v Speaker 5>November eleventh it was over. FTX filed for bankruptcy and

0:23:47.480 --> 0:23:51.960
<v Speaker 5>Bankment Freed resigned as CEO That same month. He apologized

0:23:52.040 --> 0:23:53.000
<v Speaker 5>at a public event.

0:23:53.400 --> 0:23:54.560
<v Speaker 4>I made a lot of mistakes.

0:23:54.800 --> 0:23:57.600
<v Speaker 10>Are things I would give anything to be able to

0:23:57.680 --> 0:23:58.399
<v Speaker 10>do over again.

0:23:59.440 --> 0:24:02.840
<v Speaker 11>I didn't ever I try to commit fraud on anyone.

0:24:03.000 --> 0:24:05.960
<v Speaker 5>But just a few weeks later, Sam Bankminfried was indicted,

0:24:06.320 --> 0:24:10.359
<v Speaker 5>accused of misappropriating billions of dollars at the cryptocurrency exchange.

0:24:10.400 --> 0:24:13.119
<v Speaker 10>It's fair to say that by any anyone's licens is

0:24:13.119 --> 0:24:15.760
<v Speaker 10>one of the biggest financial frauds in American history.

0:24:18.240 --> 0:24:21.399
<v Speaker 3>Great breakdown from Katie lines. What does it meant for

0:24:21.600 --> 0:24:25.800
<v Speaker 3>institutional adoption for the hope of crypto? More broadly, let's

0:24:25.800 --> 0:24:28.320
<v Speaker 3>talk about it with Bitwise asset Management CIO Matt Hogan,

0:24:28.359 --> 0:24:30.280
<v Speaker 3>who joins us now for has taken all of this,

0:24:30.320 --> 0:24:32.040
<v Speaker 3>and you've got your own news to bring to the

0:24:32.080 --> 0:24:36.119
<v Speaker 3>table about offerings to institutions. But just focus on the

0:24:36.160 --> 0:24:38.399
<v Speaker 3>trial and the start today for you. Will this be

0:24:38.440 --> 0:24:40.680
<v Speaker 3>a cathartic moment for the industry? Is it gonna be

0:24:40.720 --> 0:24:43.120
<v Speaker 3>more pain before the sun comes again?

0:24:43.240 --> 0:24:43.679
<v Speaker 2>Yeah, it's a.

0:24:43.640 --> 0:24:46.520
<v Speaker 10>Great question, Caroline. I think of it as mostly old news.

0:24:46.600 --> 0:24:49.959
<v Speaker 10>You know, we work with primarily institutions and financial advisors,

0:24:50.160 --> 0:24:53.080
<v Speaker 10>and from about November to April they wanted to talk

0:24:53.119 --> 0:24:56.080
<v Speaker 10>a lot about FTX and what it meant. But earlier

0:24:56.119 --> 0:24:58.920
<v Speaker 10>this summer Blackrock announced it was launching or trying to

0:24:59.000 --> 0:25:01.760
<v Speaker 10>launch a spot bitcoin etf you know, the world's largest

0:25:01.760 --> 0:25:04.240
<v Speaker 10>asset manager, saying the coast is clear. We're ready to

0:25:04.280 --> 0:25:06.440
<v Speaker 10>move on. We're ready to move to a new era

0:25:06.520 --> 0:25:09.840
<v Speaker 10>of crypto. Kind of put a cap on the FTX conversation.

0:25:10.000 --> 0:25:12.639
<v Speaker 10>So it honestly hasn't come up in the past few months.

0:25:12.760 --> 0:25:15.879
<v Speaker 10>I think there'll be some lurid coverage of the FTX trial,

0:25:15.920 --> 0:25:18.000
<v Speaker 10>but that is crypto of the past. I think a

0:25:18.000 --> 0:25:20.640
<v Speaker 10>lot of people are thinking, what happens next in crypto,

0:25:20.760 --> 0:25:22.440
<v Speaker 10>what's exciting, Let's move.

0:25:22.280 --> 0:25:24.280
<v Speaker 4>On, okay, And so you're a lot of that excitement.

0:25:24.320 --> 0:25:26.600
<v Speaker 3>Some of the catalysts for actually bitcoin itself and the

0:25:26.680 --> 0:25:28.600
<v Speaker 3>rally that we've seen in some of the digital tokens

0:25:28.600 --> 0:25:31.320
<v Speaker 3>has been the hope of a spot ETF. You're still

0:25:31.320 --> 0:25:35.160
<v Speaker 3>offering ETF and ETP products, this time related to eth

0:25:35.400 --> 0:25:37.119
<v Speaker 3>for the first time. Can you talk us through that

0:25:37.680 --> 0:25:39.760
<v Speaker 3>and why you're not needing to have a spot one

0:25:39.800 --> 0:25:40.320
<v Speaker 3>for the time being.

0:25:40.320 --> 0:25:41.320
<v Speaker 4>It's more about the futures.

0:25:41.440 --> 0:25:41.600
<v Speaker 1>Yeah.

0:25:41.640 --> 0:25:45.280
<v Speaker 10>Absolutely, we're very excited to eventually launch spot ETF both

0:25:45.280 --> 0:25:48.679
<v Speaker 10>on Bitcoin and ethereum once the SEC allows that. But

0:25:48.720 --> 0:25:51.280
<v Speaker 10>we shouldn't let the perfect be the enemy of the good,

0:25:51.600 --> 0:25:54.440
<v Speaker 10>and so this week we launched two ethereum.

0:25:53.920 --> 0:25:57.119
<v Speaker 2>Tied ETFs a ether and b TOP a eth.

0:25:57.040 --> 0:26:00.000
<v Speaker 10>Is one hundred percent ethereum futures, b TOP fifty percent

0:26:00.200 --> 0:26:03.560
<v Speaker 10>bitcoin fifty percent ethereum futures. Those ETFs are going to

0:26:03.560 --> 0:26:07.320
<v Speaker 10>be very highly correlated to the underlying price of ethereum

0:26:07.320 --> 0:26:09.919
<v Speaker 10>in bitcoin, and people have the chance to invest today.

0:26:10.080 --> 0:26:11.680
<v Speaker 10>You know, if you think about when the first spot

0:26:11.720 --> 0:26:14.720
<v Speaker 10>bitcoin ETF was filed way back in twenty thirteen, the

0:26:14.760 --> 0:26:17.120
<v Speaker 10>price a bitcoin was below one hundred dollars a coin.

0:26:17.440 --> 0:26:20.400
<v Speaker 10>If you've been waiting for that spot bitcoin ETF to come,

0:26:20.680 --> 0:26:21.440
<v Speaker 10>you've missed.

0:26:21.160 --> 0:26:22.080
<v Speaker 2>A lot of appreciation.

0:26:22.200 --> 0:26:23.840
<v Speaker 10>I think there are a lot of investors out there

0:26:24.000 --> 0:26:27.000
<v Speaker 10>that Noah, spot bitcoin ETF is coming, think an ethereum

0:26:27.080 --> 0:26:29.800
<v Speaker 10>spot ETF is coming, and want to get now ahead

0:26:29.840 --> 0:26:32.840
<v Speaker 10>of them. And for those investors, Ahan, b TOP are

0:26:32.840 --> 0:26:33.600
<v Speaker 10>great solutions.

0:26:33.640 --> 0:26:35.920
<v Speaker 3>So tar to us, who these investors are, How big

0:26:35.960 --> 0:26:38.240
<v Speaker 3>are we playing? What sort of institution is it coming

0:26:38.280 --> 0:26:39.720
<v Speaker 3>to want to get into your product?

0:26:39.800 --> 0:26:40.920
<v Speaker 2>Yeah, it's an amazing question.

0:26:41.000 --> 0:26:44.200
<v Speaker 10>Because retail grew into this trillion dollar asset class really

0:26:44.240 --> 0:26:47.440
<v Speaker 10>on the back of retail investors. We haven't seen financial

0:26:47.440 --> 0:26:50.520
<v Speaker 10>advisors come in a major way. We haven't seen institutions

0:26:50.560 --> 0:26:52.600
<v Speaker 10>come in a major way. But as you and I know,

0:26:52.840 --> 0:26:55.639
<v Speaker 10>that's the majority of the market, maybe eighty percent of

0:26:55.760 --> 0:26:57.800
<v Speaker 10>all the wealth in America.

0:26:57.480 --> 0:26:59.440
<v Speaker 2>Hasn't really tapped into.

0:26:59.160 --> 0:27:01.760
<v Speaker 10>Crypto yet because they can't invest through an app on

0:27:01.840 --> 0:27:05.119
<v Speaker 10>their phone. They need regulated ETFs. And so I think

0:27:05.200 --> 0:27:07.639
<v Speaker 10>this is the start of a game changer for the

0:27:07.680 --> 0:27:10.600
<v Speaker 10>crypto industry. I think we're going to see significant inflows

0:27:10.640 --> 0:27:13.240
<v Speaker 10>that eighty percent of the market that's outside is going

0:27:13.280 --> 0:27:15.440
<v Speaker 10>to come in and a year from now, two years

0:27:15.440 --> 0:27:17.840
<v Speaker 10>from now, crypto is going to be a mainstream asset

0:27:18.000 --> 0:27:22.000
<v Speaker 10>that fits in portfolios alongside stocks, bonds, real estate, and

0:27:22.080 --> 0:27:25.440
<v Speaker 10>other commodities. It's going to be mainstream in a major way.

0:27:25.840 --> 0:27:28.439
<v Speaker 3>What gives you that confidence, though, because we had that

0:27:28.520 --> 0:27:31.480
<v Speaker 3>a couple of years ago and then volumes slowed to

0:27:31.520 --> 0:27:34.639
<v Speaker 3>a trickle. Institutional adoption just fell off a cliff.

0:27:34.680 --> 0:27:35.960
<v Speaker 2>Yeah, I'd point to three things.

0:27:36.000 --> 0:27:38.520
<v Speaker 10>One, we now have ETFs right for a long time,

0:27:38.520 --> 0:27:42.040
<v Speaker 10>people criticize this SEC for being too slow to approve ets,

0:27:42.040 --> 0:27:44.720
<v Speaker 10>but we had none until twenty twenty one. Now we

0:27:44.800 --> 0:27:47.199
<v Speaker 10>have close to a dozen and more are coming. So

0:27:47.240 --> 0:27:50.159
<v Speaker 10>we have ETFs that brings it mainstream. Two, we have

0:27:50.320 --> 0:27:55.560
<v Speaker 10>large asset managers coming into the space, Blackrock, Fidelity, Franklin, Templeton,

0:27:55.680 --> 0:27:58.639
<v Speaker 10>the big teams are coming and that means a million

0:27:58.680 --> 0:28:02.720
<v Speaker 10>more conversations with professional investors. And then the third most

0:28:02.760 --> 0:28:05.520
<v Speaker 10>important thing, we're starting to see the real world use

0:28:05.600 --> 0:28:09.120
<v Speaker 10>cases that people have been asking for. Just today UBS

0:28:09.240 --> 0:28:13.080
<v Speaker 10>is out with UBS tokenization, talking about tokenizing bonds on

0:28:13.119 --> 0:28:16.760
<v Speaker 10>the public Ethereum blockchain, the same blockchain you can invest

0:28:16.800 --> 0:28:19.760
<v Speaker 10>in through AE. And I think we're going to see

0:28:19.800 --> 0:28:23.240
<v Speaker 10>a blossoming of real world applications and that's what's going

0:28:23.280 --> 0:28:24.240
<v Speaker 10>to bring the institutions.

0:28:24.280 --> 0:28:26.639
<v Speaker 3>I suppose it has everyone been waiting for the killer

0:28:26.840 --> 0:28:29.520
<v Speaker 3>DApp when it comes to the retail community. But also,

0:28:30.080 --> 0:28:32.520
<v Speaker 3>you know this ongoing narrative that like, oh, we like

0:28:32.520 --> 0:28:35.080
<v Speaker 3>the underlying technology, but we don't really like the assets

0:28:35.080 --> 0:28:39.240
<v Speaker 3>in and of themselves. Why would the adoption of blockchain

0:28:39.240 --> 0:28:43.920
<v Speaker 3>technology for tokenization of assets private or public really be

0:28:44.160 --> 0:28:47.040
<v Speaker 3>according cont want to buy into an ether etf.

0:28:46.600 --> 0:28:47.600
<v Speaker 2>Oh amazing question.

0:28:47.680 --> 0:28:49.280
<v Speaker 10>If you look back a few years ago, there were

0:28:49.320 --> 0:28:52.880
<v Speaker 10>all these projects on private blockchains. You'll remember JP Morgan

0:28:52.920 --> 0:28:55.840
<v Speaker 10>had a private blockchain and people are like, yeah, that will.

0:28:55.640 --> 0:28:56.240
<v Speaker 2>Be the future.

0:28:56.280 --> 0:28:58.760
<v Speaker 10>It's like the intranet in the early days of the Internet.

0:28:59.000 --> 0:29:01.120
<v Speaker 10>If you look at the pilot projects now, they are

0:29:01.160 --> 0:29:05.160
<v Speaker 10>all built on ethereum. Paypoint's new stable coin built on ethereum,

0:29:05.320 --> 0:29:09.280
<v Speaker 10>These bonds being structured by Goldban, Sachs, JP, Morgan ubs.

0:29:09.120 --> 0:29:10.480
<v Speaker 2>All built on Ethereum.

0:29:10.920 --> 0:29:15.000
<v Speaker 10>Often in technologies, these private controlled environments look attractive at

0:29:15.040 --> 0:29:17.440
<v Speaker 10>the beginning, like intranets did in the early days of

0:29:17.480 --> 0:29:20.560
<v Speaker 10>the Internet, but over time it's the public, open, and

0:29:20.640 --> 0:29:23.200
<v Speaker 10>decentralized platforms that win. And I think if you look

0:29:23.480 --> 0:29:26.480
<v Speaker 10>at where the major institutions are building now, they're building

0:29:26.520 --> 0:29:29.400
<v Speaker 10>on things like ethereum, and now investors can invest in

0:29:29.440 --> 0:29:31.040
<v Speaker 10>that in an etf What are still.

0:29:30.840 --> 0:29:34.320
<v Speaker 3>The limiting factors of ethereum in particular, I mean, there

0:29:34.400 --> 0:29:36.920
<v Speaker 3>is the move to proof of work, to proof of state,

0:29:36.960 --> 0:29:38.280
<v Speaker 3>the idea that you wouldn't have to have at lease

0:29:38.320 --> 0:29:40.200
<v Speaker 3>so much energy consumption within that, But.

0:29:40.520 --> 0:29:42.040
<v Speaker 4>Still there was a complaint of gas fees.

0:29:42.080 --> 0:29:44.240
<v Speaker 3>Still there was a complaint that ultimately this is still

0:29:44.240 --> 0:29:46.080
<v Speaker 3>pretty cumbersome when you're just trying to use it as

0:29:46.080 --> 0:29:46.560
<v Speaker 3>a layperson.

0:29:46.680 --> 0:29:48.320
<v Speaker 10>Yeah, there's still a lot of there's still a lot

0:29:48.320 --> 0:29:51.560
<v Speaker 10>of gaps. UX needs to improve the user interface, the

0:29:51.640 --> 0:29:53.920
<v Speaker 10>gas fees have come way down with the rise of

0:29:54.000 --> 0:29:56.720
<v Speaker 10>layer two solutions, so that problem is at least fifty

0:29:56.760 --> 0:29:59.240
<v Speaker 10>percent solved, but it needs to be one hundred percent solved.

0:29:59.320 --> 0:30:01.480
<v Speaker 10>And then, of course the major unlocked. The thing that's

0:30:01.520 --> 0:30:05.360
<v Speaker 10>going to cause a step function is regulatory or legislative clarity.

0:30:05.480 --> 0:30:08.360
<v Speaker 10>Now I'm optimistic. We've recently seen over the past few

0:30:08.400 --> 0:30:12.040
<v Speaker 10>months a number of bipartisan bills introduced by partisan letters

0:30:12.040 --> 0:30:15.040
<v Speaker 10>coming out telling Gary Gensler to prove a spot bitcoin

0:30:15.080 --> 0:30:18.920
<v Speaker 10>etf there's real political momentum in Washington behind it. That

0:30:18.960 --> 0:30:22.600
<v Speaker 10>will be the final unlock. But we are already seeing

0:30:22.640 --> 0:30:25.560
<v Speaker 10>those signs. And again i'd point to those major institutions

0:30:25.600 --> 0:30:26.320
<v Speaker 10>building today.

0:30:26.960 --> 0:30:30.080
<v Speaker 3>That has been a worry that the regulation is evolving

0:30:30.160 --> 0:30:34.240
<v Speaker 3>slower here though and elsewhere. Do you see some of

0:30:34.280 --> 0:30:36.800
<v Speaker 3>the talent shifting board Do you see people wanting to

0:30:36.840 --> 0:30:38.400
<v Speaker 3>build things not in the US.

0:30:38.480 --> 0:30:40.600
<v Speaker 10>Yeah, it's really unfortunate. We're seeing a lot of the

0:30:40.640 --> 0:30:43.200
<v Speaker 10>attention shift to London. We're seeing a lot of it

0:30:43.280 --> 0:30:47.040
<v Speaker 10>shift Singapore. The crypto environment there is blossoming in a

0:30:47.080 --> 0:30:49.959
<v Speaker 10>way it's not here in the US. The US always

0:30:49.960 --> 0:30:53.560
<v Speaker 10>figures out the right thing after exhausts all other possibilities.

0:30:53.760 --> 0:30:55.280
<v Speaker 2>I'm confident we'll do that here.

0:30:55.360 --> 0:30:57.680
<v Speaker 10>And still there's a lot of capital invested in crypto,

0:30:57.880 --> 0:31:00.720
<v Speaker 10>but we are behind. I do see progress over the

0:31:00.800 --> 0:31:03.240
<v Speaker 10>last few months. I'm really seeing a change in Washington.

0:31:03.520 --> 0:31:06.160
<v Speaker 10>Makes me very optimistic for twenty twenty four and certainly

0:31:06.160 --> 0:31:06.960
<v Speaker 10>twenty twenty five.

0:31:07.680 --> 0:31:10.960
<v Speaker 3>It's an optimism around this scrypto space. Matt Hogan, thanks

0:31:10.960 --> 0:31:12.640
<v Speaker 3>for coming in and talking to it with about it.

0:31:13.040 --> 0:31:16.560
<v Speaker 3>Bit Wise asset Management CIO there, Matt Hogan. Meanwhile, coming up, look,

0:31:16.560 --> 0:31:18.440
<v Speaker 3>we're going to be taking the pulse of the VC industry.

0:31:18.520 --> 0:31:21.719
<v Speaker 3>Is there any optimism there following the FTX Tobarkle. We've

0:31:21.760 --> 0:31:24.560
<v Speaker 3>got Steff to partner at the fintech focus firm Portage.

0:31:24.720 --> 0:31:25.240
<v Speaker 4>That's next.

0:31:25.400 --> 0:31:28.400
<v Speaker 3>Meanwhile, we are continuing to watch individual companies today. Not

0:31:28.600 --> 0:31:31.920
<v Speaker 3>much enthusiasm around this particular name, Paneteer on the downside

0:31:31.920 --> 0:31:34.840
<v Speaker 3>by four point six percent. But give you context, this

0:31:34.880 --> 0:31:36.640
<v Speaker 3>is a company that has run up in recent days

0:31:36.640 --> 0:31:38.320
<v Speaker 3>because of course they've got that big contract from.

0:31:38.200 --> 0:31:38.920
<v Speaker 4>The US government.

0:31:39.280 --> 0:31:42.520
<v Speaker 3>This desire by Alex carp to see more AI adoption

0:31:42.680 --> 0:31:45.280
<v Speaker 3>by key governments, so managing to be selling into the

0:31:45.360 --> 0:31:47.040
<v Speaker 3>US for the time being, maybe a bit of profit

0:31:47.080 --> 0:32:04.640
<v Speaker 3>taking on a down day. This is Roomberg Technology on

0:32:04.720 --> 0:32:07.280
<v Speaker 3>today's VC Spotlight. Pleased to say we're joined by Steph,

0:32:07.360 --> 0:32:10.760
<v Speaker 3>cho partner at Portage is a global fintech focused platform

0:32:11.040 --> 0:32:14.480
<v Speaker 3>investing in innovative financial technology companies, very much of the

0:32:14.480 --> 0:32:17.360
<v Speaker 3>early stage. Steph, and you've deployed what three undred million

0:32:17.400 --> 0:32:21.600
<v Speaker 3>are capital in the companies that you're currently analyzing. And

0:32:21.600 --> 0:32:24.760
<v Speaker 3>we were just having a pretty optimistic conversation, shall we say,

0:32:24.880 --> 0:32:30.480
<v Speaker 3>around crypto adoption more broadly, even in spite of SVB SBF,

0:32:31.040 --> 0:32:34.200
<v Speaker 3>What is the industry feeling right now in the world

0:32:34.240 --> 0:32:38.920
<v Speaker 3>of fintech and indeed putting money into these startups.

0:32:39.200 --> 0:32:42.880
<v Speaker 12>Fintech has been, as the entire tech sector has been,

0:32:43.440 --> 0:32:44.480
<v Speaker 12>I would say.

0:32:44.200 --> 0:32:46.600
<v Speaker 4>Fairly slow through the year.

0:32:47.120 --> 0:32:50.240
<v Speaker 12>But I will say the story Q two seems to

0:32:50.280 --> 0:32:52.240
<v Speaker 12>have been a bit of an inflection point. If you

0:32:52.280 --> 0:32:56.120
<v Speaker 12>look at the data, round sizes for the first time

0:32:56.320 --> 0:32:59.000
<v Speaker 12>have gone up in Q two twenty three, gone up

0:32:59.040 --> 0:33:03.360
<v Speaker 12>again in Q three Also, I would say valuations have

0:33:03.520 --> 0:33:07.400
<v Speaker 12>slowly ticked up. So it might be that Q one

0:33:08.160 --> 0:33:11.480
<v Speaker 12>could have been the bottom both for fintech but also

0:33:11.640 --> 0:33:15.360
<v Speaker 12>for early stage startup and investing in general. So I'm

0:33:15.400 --> 0:33:19.200
<v Speaker 12>definitely seeing signs of optimism in both fintech plus the

0:33:19.280 --> 0:33:21.720
<v Speaker 12>broader tech ecosystem and environment.

0:33:21.960 --> 0:33:23.680
<v Speaker 3>And what do you think was the catalyst for that

0:33:23.760 --> 0:33:26.560
<v Speaker 3>bottoming if you are starting c valuations creep p Is

0:33:26.600 --> 0:33:29.440
<v Speaker 3>it that these companies have taken some bitter pills they've

0:33:29.440 --> 0:33:31.880
<v Speaker 3>rectified how their revenue and their bone rates are or

0:33:31.960 --> 0:33:35.720
<v Speaker 3>is it more that we're getting more broad ideas of optimism,

0:33:35.800 --> 0:33:38.200
<v Speaker 3>like exits that we started to see in the IPA market.

0:33:39.320 --> 0:33:40.720
<v Speaker 1>I think it's a combination of both.

0:33:40.760 --> 0:33:44.080
<v Speaker 12>So one, everybody's looking at the IPO markets very carefully.

0:33:44.480 --> 0:33:47.880
<v Speaker 12>I think the story of arm and Clavio, the AI

0:33:48.120 --> 0:33:50.920
<v Speaker 12>story is pretty clear. If you've got an AI story,

0:33:50.960 --> 0:33:53.520
<v Speaker 12>you're going to trade up both in the public markets,

0:33:53.680 --> 0:33:56.040
<v Speaker 12>but also you're going to trade at a premium in

0:33:56.120 --> 0:33:59.560
<v Speaker 12>the private markets early stage and laid stage. I think

0:33:59.600 --> 0:34:04.440
<v Speaker 12>the second factor is lots of companies actually delayed their raises.

0:34:04.800 --> 0:34:07.560
<v Speaker 12>Everyone raised a lot of money in twenty twenty one

0:34:08.160 --> 0:34:11.920
<v Speaker 12>and they delayed. And I feel like now folks have

0:34:12.000 --> 0:34:17.080
<v Speaker 12>come back to market in twenty twenty three because you

0:34:17.120 --> 0:34:22.920
<v Speaker 12>can't wait forever. It's estimated that unicorns will need to

0:34:23.000 --> 0:34:26.040
<v Speaker 12>raise three hundred billion by the end of this year

0:34:26.480 --> 0:34:28.520
<v Speaker 12>and funds, And the third factor I would say is

0:34:28.719 --> 0:34:31.920
<v Speaker 12>funds are really sitting on almost four hundred billion dollars

0:34:31.920 --> 0:34:34.120
<v Speaker 12>of dry powder which was raised in twenty twenty one

0:34:34.160 --> 0:34:38.719
<v Speaker 12>and twenty twenty two, so other vcs are itching to really.

0:34:38.520 --> 0:34:39.279
<v Speaker 4>Get deals done.

0:34:39.320 --> 0:34:41.160
<v Speaker 12>So I think it's a combination of all three of

0:34:41.200 --> 0:34:45.680
<v Speaker 12>those things that are driving some kind of wider optimism

0:34:45.800 --> 0:34:48.680
<v Speaker 12>in the market, not only at the seed stage, which

0:34:48.680 --> 0:34:50.880
<v Speaker 12>if you look at seed valuations they really didn't change

0:34:50.960 --> 0:34:53.719
<v Speaker 12>all that much from twenty twenty to twenty twenty three,

0:34:54.000 --> 0:34:57.239
<v Speaker 12>but it's really at Series A and onwards that we're

0:34:57.280 --> 0:35:00.480
<v Speaker 12>really starting to see more deals get done and valueations

0:35:00.880 --> 0:35:02.000
<v Speaker 12>start to tick up.

0:35:02.239 --> 0:35:04.000
<v Speaker 4>In twenty twenty three, our.

0:35:03.960 --> 0:35:09.120
<v Speaker 3>LPs excited for their VC commitments to start to get deployed,

0:35:09.200 --> 0:35:11.560
<v Speaker 3>are actually we hearing that LP's and putting on a

0:35:11.600 --> 0:35:11.879
<v Speaker 3>bit of.

0:35:11.800 --> 0:35:13.440
<v Speaker 4>Pression to not deploy for the time being.

0:35:14.760 --> 0:35:17.640
<v Speaker 12>I think LPs are definitely not putting on pressure to

0:35:17.680 --> 0:35:21.800
<v Speaker 12>deploy in short time periods. In twenty twenty and twenty

0:35:21.840 --> 0:35:25.920
<v Speaker 12>twenty one, we saw funds deploying their full capital allocation,

0:35:25.960 --> 0:35:28.759
<v Speaker 12>which would typically have been three to four years in

0:35:28.880 --> 0:35:33.920
<v Speaker 12>twelve months, sometimes sometimes less and sometimes closer to eighteen months,

0:35:34.360 --> 0:35:38.240
<v Speaker 12>and so we haven't seen a push from our institutional

0:35:38.360 --> 0:35:39.840
<v Speaker 12>LPs to come.

0:35:39.680 --> 0:35:40.680
<v Speaker 1>Back to market.

0:35:40.920 --> 0:35:43.280
<v Speaker 12>Actually it's been a little bit of the opposite, because

0:35:43.320 --> 0:35:47.640
<v Speaker 12>if you are an institutional LP, that is a pension,

0:35:47.880 --> 0:35:50.520
<v Speaker 12>you might be facing what's known as the denominator effect,

0:35:50.760 --> 0:35:53.319
<v Speaker 12>which is you need to rebalance your portfolio.

0:35:53.560 --> 0:35:55.120
<v Speaker 1>And as the public markets went.

0:35:55.000 --> 0:36:01.200
<v Speaker 12>Down, we've seen the share of privates be potentially look

0:36:01.360 --> 0:36:04.880
<v Speaker 12>a little bit misallocated, and so there's been a shifting

0:36:05.239 --> 0:36:07.960
<v Speaker 12>from some of our LPs, and so I don't think

0:36:07.960 --> 0:36:11.920
<v Speaker 12>there's been a push for VC funds to necessarily deployed.

0:36:11.960 --> 0:36:14.080
<v Speaker 12>But we are deal makers at the end of the day,

0:36:14.120 --> 0:36:16.919
<v Speaker 12>so I think everybody in this job is excited about

0:36:16.920 --> 0:36:18.120
<v Speaker 12>getting back to doing deals.

0:36:18.960 --> 0:36:21.839
<v Speaker 3>Certainly, we'll see how those deals continue to unfold stuff.

0:36:21.880 --> 0:36:22.880
<v Speaker 4>It's been great speaking to you.

0:36:22.920 --> 0:36:25.280
<v Speaker 3>Thank you for shining a light on the LP study,

0:36:25.280 --> 0:36:27.800
<v Speaker 3>the equation as well as we're to be deploying stuff

0:36:27.840 --> 0:36:30.120
<v Speaker 3>to partner at Portage there we thank I.

0:36:30.000 --> 0:36:32.480
<v Speaker 4>Mean, well, look, I also managed to catch up with.

0:36:33.000 --> 0:36:36.240
<v Speaker 3>Another founder but you'll know her name, Elavest CEO. Sally

0:36:36.280 --> 0:36:39.080
<v Speaker 3>Krawchek of course, storied career in Wall Street, then pivoted

0:36:39.080 --> 0:36:40.160
<v Speaker 3>to become a founder herself.

0:36:40.320 --> 0:36:42.320
<v Speaker 4>I was over at the NASDAC and we talked about.

0:36:42.080 --> 0:36:45.200
<v Speaker 3>How her company uses technology to help women build wealth

0:36:45.520 --> 0:36:49.080
<v Speaker 3>beyond the financial tools traditionally built by or for men.

0:36:49.280 --> 0:36:53.640
<v Speaker 13>Take a listen, Well, we were the first who said

0:36:53.640 --> 0:36:57.719
<v Speaker 13>we're going to change the underlying product using technology. And

0:36:57.840 --> 0:37:00.560
<v Speaker 13>to your point, we're the first to build a gender

0:37:00.600 --> 0:37:04.279
<v Speaker 13>aware investing algorithm, which doesn't matter so much of your guy.

0:37:04.920 --> 0:37:08.040
<v Speaker 13>But if you're a woman who earns less, your salary

0:37:08.080 --> 0:37:11.160
<v Speaker 13>peak sooner, you take more career breaks, and you die later.

0:37:12.440 --> 0:37:15.319
<v Speaker 13>If you assume your average, you really risk running out

0:37:15.320 --> 0:37:19.359
<v Speaker 13>of money. On top of that, we use technology and

0:37:19.440 --> 0:37:22.359
<v Speaker 13>learning and research to change about a zillion things about

0:37:22.400 --> 0:37:22.880
<v Speaker 13>the product.

0:37:23.400 --> 0:37:25.560
<v Speaker 4>For example, yeah, I give us some Yeah.

0:37:25.960 --> 0:37:29.439
<v Speaker 13>So we learned, for example, that it's not that women

0:37:29.480 --> 0:37:32.160
<v Speaker 13>are risk averse, and so when they get to the

0:37:32.160 --> 0:37:35.040
<v Speaker 13>point of the onboarding where they say what's your risk tolerance?

0:37:35.480 --> 0:37:37.319
<v Speaker 13>We found that what men will do is say that

0:37:37.440 --> 0:37:40.600
<v Speaker 13>seems pretty important. I'm going to take an educated guess

0:37:40.600 --> 0:37:44.160
<v Speaker 13>and continue on, and women say that seems pretty important.

0:37:44.680 --> 0:37:47.359
<v Speaker 13>Because I was socialized to be perfect and men were

0:37:47.560 --> 0:37:50.439
<v Speaker 13>real boys are socialized to be brave, as Rushmaster Johnny says,

0:37:51.080 --> 0:37:54.160
<v Speaker 13>I'm going to leave, I'm going to figure this out,

0:37:54.600 --> 0:37:56.239
<v Speaker 13>and I'm going to come back. Do you know what

0:37:56.320 --> 0:37:59.960
<v Speaker 13>is more interesting than figuring out your risk tolerance everything?

0:38:01.080 --> 0:38:04.200
<v Speaker 4>So therefore you don't come back. Same with your Oregon.

0:38:04.320 --> 0:38:05.319
<v Speaker 13>I could go on and on.

0:38:05.400 --> 0:38:07.160
<v Speaker 3>So they're just not getting past that hurdle in the

0:38:07.239 --> 0:38:08.760
<v Speaker 3>Q and A when you're first signing onto.

0:38:08.600 --> 0:38:11.960
<v Speaker 13>The As it turns out, the onboarding was built for men.

0:38:13.239 --> 0:38:15.319
<v Speaker 13>And we said, okay, how do we give her the

0:38:15.360 --> 0:38:17.279
<v Speaker 13>information that she needs or how do we solve the

0:38:17.320 --> 0:38:20.719
<v Speaker 13>problem of if she doesn't know a risk tolerance, what

0:38:20.760 --> 0:38:23.080
<v Speaker 13>can we do about that? And rather than just say, oh,

0:38:23.160 --> 0:38:26.000
<v Speaker 13>it's lost, what we said is we'll do the hard work.

0:38:26.360 --> 0:38:29.880
<v Speaker 13>Tell us everything about you, your characteristics, how old you are,

0:38:30.280 --> 0:38:32.240
<v Speaker 13>what part of the country you're in, how much you're earning,

0:38:32.719 --> 0:38:34.560
<v Speaker 13>what industry you're in, so we can figure out what

0:38:34.600 --> 0:38:36.440
<v Speaker 13>you should earn over the course of your life, and

0:38:36.440 --> 0:38:37.560
<v Speaker 13>what you want to achieve.

0:38:47.600 --> 0:38:51.280
<v Speaker 3>A new artificial intelligence startup is challenging more established rivals

0:38:51.360 --> 0:38:54.479
<v Speaker 3>by solving a vexing problem. Letting anyone create an image

0:38:54.520 --> 0:38:56.719
<v Speaker 3>of a cat wearing a T shirt with a clever

0:38:56.760 --> 0:38:59.279
<v Speaker 3>slogan that you can actually read. Now, those humorous lines

0:38:59.320 --> 0:39:01.040
<v Speaker 3>are actually written by Rachel Metz, who has a great

0:39:01.080 --> 0:39:02.680
<v Speaker 3>story on Ideogram today.

0:39:03.440 --> 0:39:07.960
<v Speaker 4>Why is this so hard for other image generators to

0:39:08.000 --> 0:39:09.440
<v Speaker 4>do in generative AI? Rachel?

0:39:10.960 --> 0:39:15.040
<v Speaker 11>So, usually these types of AI image generators are trained

0:39:15.080 --> 0:39:20.120
<v Speaker 11>on pairs of images and related corresponding text. Often those

0:39:20.200 --> 0:39:23.319
<v Speaker 11>images either won't have text in them they or they

0:39:23.360 --> 0:39:26.759
<v Speaker 11>won't be trained using the wide variety of texts that

0:39:26.800 --> 0:39:28.799
<v Speaker 11>you would use if you're training a system on, say

0:39:28.840 --> 0:39:31.359
<v Speaker 11>pictures of apples or pictures of cats, where you would

0:39:31.360 --> 0:39:34.200
<v Speaker 11>have them from different angles, different lighting, a lot of

0:39:34.239 --> 0:39:36.160
<v Speaker 11>different kinds of apples or a lot of different kinds

0:39:36.160 --> 0:39:39.160
<v Speaker 11>of cats. So this company won't say exactly how they're

0:39:39.200 --> 0:39:41.719
<v Speaker 11>doing it, but it does sound like they're using quite

0:39:41.760 --> 0:39:45.040
<v Speaker 11>a bit of text in in their training images, which

0:39:45.200 --> 0:39:47.120
<v Speaker 11>may have really helped it get a lot better at

0:39:47.160 --> 0:39:50.040
<v Speaker 11>doing things like giving you pictures of a cat wearing

0:39:50.040 --> 0:39:51.520
<v Speaker 11>a T shirt that has a slogan on it.

0:39:52.080 --> 0:39:54.160
<v Speaker 4>The beautiful pictures go see them on their story.

0:39:54.239 --> 0:39:59.399
<v Speaker 3>Ex Googlers founded Ideogram, how are they competing against mid

0:39:59.440 --> 0:40:01.280
<v Speaker 3>journey or for example.

0:40:02.320 --> 0:40:05.759
<v Speaker 11>They've taken a really different approach than mid Journey or

0:40:05.800 --> 0:40:09.319
<v Speaker 11>Open AI or stable diffusion. There is a little bit

0:40:09.320 --> 0:40:12.320
<v Speaker 11>more like a social network. At the moment the website

0:40:12.440 --> 0:40:14.800
<v Speaker 11>is it's free to use. There isn't a paid service

0:40:14.880 --> 0:40:17.000
<v Speaker 11>at the moment that they're planning to have one. And

0:40:17.120 --> 0:40:20.320
<v Speaker 11>at the moment everything you generate is open to the public.

0:40:21.040 --> 0:40:24.279
<v Speaker 11>They're hoping that that actually helps with behavior a little bit,

0:40:24.360 --> 0:40:27.440
<v Speaker 11>so perhaps people will be a little bit kinder about

0:40:27.440 --> 0:40:30.120
<v Speaker 11>what they're generating, not use it as not only as

0:40:30.120 --> 0:40:32.400
<v Speaker 11>they might if they could do things privately.

0:40:32.920 --> 0:40:36.120
<v Speaker 3>Notable as we will worry perhaps ahead of elections and

0:40:36.160 --> 0:40:37.200
<v Speaker 3>indeed deep fakes.

0:40:37.320 --> 0:40:39.440
<v Speaker 4>Rachel Metz Go read. Her story is.

0:40:39.440 --> 0:40:42.080
<v Speaker 3>Another brilliant one about the startup world in AI. We

0:40:42.160 --> 0:40:44.359
<v Speaker 3>thank her so much for it. Meanwhile, now that does it.

0:40:44.400 --> 0:40:47.960
<v Speaker 3>From this edition of Bloombag Technology, Stay with Bloomberg Television

0:40:48.000 --> 0:40:51.640
<v Speaker 3>because it's Bloomberg Crypto. Up next, a deep dive into

0:40:51.640 --> 0:40:54.439
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0:40:59.040 --> 0:41:02.240
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