WEBVTT - Apple's EU Fine and Anthropic's Claude Model Family

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<v Speaker 1>From Mahard where Innovation of Money and Power Collie in

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<v Speaker 1>Silicon Valley, NBN.

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<v Speaker 2>This is Bloomberg Technology with Caroline Hyde and Ed Ludlow.

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<v Speaker 3>I'm Caroline heard a Bloomberg's World headquarters in New York,

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<v Speaker 3>Im Ed Ludlow in San Francisco.

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<v Speaker 4>This is Bloomberg Technology coming up.

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<v Speaker 3>Apple gets slapped with a one point eight billion euro

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<v Speaker 3>fine by the EU. That's for abusing its dominant position

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<v Speaker 3>the distribution of music streaming apps.

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<v Speaker 5>Will bring you all the details.

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<v Speaker 4>Plus AI's startup, Anthropic, is launching new versions of its

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<v Speaker 4>chatbot Claude that are twice as likely to answer a

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<v Speaker 4>question correctly. We discuss the launch with Anthropic president Daniella Amodi.

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<v Speaker 3>An Amazon employees catch a glimpse into the future of

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<v Speaker 3>work with humanoid robots as they enter their houses. Will

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<v Speaker 3>go behind the scenes to the look at agility, robotics,

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<v Speaker 3>two legged bot, name digit all that so much more

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<v Speaker 3>coming up. Let's get into these markets, though, and look

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<v Speaker 3>after fifteen records on the S and P five hundred,

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<v Speaker 3>we just give up some of our gains and I

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<v Speaker 3>chinlight what's happening with a nastag We're only off by

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<v Speaker 3>a bad a tenth of percent, but notably, we are

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<v Speaker 3>just having a little bit of caution after we digest

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<v Speaker 3>a lot of the market run up that we've seen

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<v Speaker 3>most broadly in AI stocks, in particular Gone Dragon index.

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<v Speaker 3>I want to chinelight what's happening on Chinese stocks, Like

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<v Speaker 3>the NBC is upon us, We're still not perhaps going

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<v Speaker 3>to get the articulation of grand focus on growth and

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<v Speaker 3>stimulation coming from China, and indeed, where is the press

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<v Speaker 3>conference from the premiere That's not going to be happening

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<v Speaker 3>this time. Some anxiety around Chinese stocks and we see

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<v Speaker 3>that reflected in the US training of those names.

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<v Speaker 5>I'm looking at the tenure yield just up three basis points.

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<v Speaker 3>We look ahead to the jobs data that we get

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<v Speaker 3>later in the week a little bit more fed speak,

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<v Speaker 3>so all eyes on where we go in terms of

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<v Speaker 3>the data. But we see bonds just training a little

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<v Speaker 3>bit lower. What is not training lower, what continues to outperform,

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<v Speaker 3>and of course thin liquidity on the weekend, and just

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<v Speaker 3>to continue into a drive up today on Monday, trading

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<v Speaker 3>five point seven percent.

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<v Speaker 5>Higher in good old pitcoin.

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<v Speaker 3>We are getting ever closer to that all important record

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<v Speaker 3>level that we had a sixty nine thousand. We're currently

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<v Speaker 3>at sixty six spot or to one, so keep an

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<v Speaker 3>eye on that particular discusset ed what have you've gone

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<v Speaker 3>on the micro Well.

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<v Speaker 4>Another name that's pushing higher is in video. This is

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<v Speaker 4>in Videa's market cap two point one three trillion dollars,

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<v Speaker 4>the milestone that it reached Friday's close and into Mondays.

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<v Speaker 4>It's now the world's third most valuable company by market

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<v Speaker 4>cap on a dollar basis, jumping above Saudi Aramco. Will

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<v Speaker 4>continue to track that. Maybe we can discuss it a

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<v Speaker 4>little later.

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<v Speaker 5>On the show.

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<v Speaker 4>One other megacap the number two company in the world,

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<v Speaker 4>Apple is moving to the downside. The stock down two

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<v Speaker 4>point seven percent. That represents a drop of around eighty

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<v Speaker 4>billion dollars in market cap in this session alone. At

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<v Speaker 4>one point, the stockdown more than three percent, which would

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<v Speaker 4>be a one hundred billion dollar market cap drop. This

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<v Speaker 4>is not only the first EU anti trust fine that

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<v Speaker 4>has been directed towards Apple. I think it's significantly bigger

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<v Speaker 4>than we thought it was going to be one point

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<v Speaker 4>eight billion euros two billion dollars, and it's all about

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<v Speaker 4>market abuse in a music streaming context that Apple plans

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<v Speaker 4>to appeal. They're going to push back on this, and

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<v Speaker 4>I think we brace ourselves, Caro, for a lot of

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<v Speaker 4>litigation to come.

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<v Speaker 3>And of course we know who delivers those fines. Who

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<v Speaker 3>continues to focus on big tech is the EU Competition

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<v Speaker 3>chief Margaret Vesta.

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<v Speaker 5>Let's just hear what she had to say about it.

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<v Speaker 6>Today, the Commission has fined Apple one point eight four

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<v Speaker 6>billion euros for abusing its dominant position on the market

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<v Speaker 6>for the distribution of music streaming apps.

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<v Speaker 3>Let's get over to Brussels where that news comes from.

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<v Speaker 3>Lumberg's Oliver Krook is with us and Olie. What's interesting is, yes,

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<v Speaker 3>the money, but when you're looking at Apple in terms

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<v Speaker 3>of one hundreds of billions of god in cash, the

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<v Speaker 3>money doesn't always matter. It's a precedent and it's also

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<v Speaker 3>what changes in behavior that the EU is demanding.

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<v Speaker 7>Right absolutely, I mean this is a much larger fine

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<v Speaker 7>as ed was outlining that we had anticipated. I mean

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<v Speaker 7>the reporting on this was five hundred million euros was expected.

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<v Speaker 7>This is almost four times that, right, So there is

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<v Speaker 7>a sort of a bit of a shock there, and

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<v Speaker 7>it's all about abuse on the iOS, on the app,

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<v Speaker 7>on what sort of apps and what kind of competition

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<v Speaker 7>Apple was allowing to have from other people, And the

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<v Speaker 7>EUS said, come out and said it plainly, how Apple

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<v Speaker 7>acted was illegal. They've been doing it for ten years

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<v Speaker 7>and they need to remedy this immediately. There is some

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<v Speaker 7>doubt perhaps that this will be enough money to change behavior. However,

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<v Speaker 7>again it's coming in quite above what everybody had anticipated,

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<v Speaker 7>and Apple saying that they're going to appeal it that

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<v Speaker 7>the regulators haven't proven because this is a market that

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<v Speaker 7>has still grown. But Veslayer herself was saying that something

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<v Speaker 7>like twenty percent of consumers who might have adopted Spotify

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<v Speaker 7>did not get the chance to even see it. So

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<v Speaker 7>this is really what's going to the crosshairs into a

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<v Speaker 7>week where there's a major piece of legislation on tech

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<v Speaker 7>regalization coming out of Brussels.

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<v Speaker 4>We just showed Apple's response to the fine and the announcement.

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<v Speaker 4>They gave a kind of pointed quote saying that in

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<v Speaker 4>the context of competition, they feel that today's decision protects

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<v Speaker 4>one clear European company which is a market leader in

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<v Speaker 4>music streaming. They didn't name them, but they're talking about Spotify.

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<v Speaker 4>What is what is the debate here Oliver. You have

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<v Speaker 4>the EU saying one thing and Apple basically saying the opposite.

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<v Speaker 7>Yeah, well, Apple's saying, how can you say we've had

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<v Speaker 7>such an effect on this when Spotify has done amazingly well,

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<v Speaker 7>has done a huge amount of growth and has not

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<v Speaker 7>you know, has not really suffered by according to them.

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<v Speaker 7>Of course, Spotify does not see things quite the same way.

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<v Speaker 7>And Margaret Vesselayers had mentioned this in the press conference

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<v Speaker 7>that she held earlier today, is saying that basically, you

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<v Speaker 7>don't know how much more growth was available here potentially

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<v Speaker 7>to Europe. So listen, you're going to hear this from Apple,

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<v Speaker 7>You're going to hear this from from the United States,

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<v Speaker 7>but here in Europe. I mean, they really want to

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<v Speaker 7>stake their claim on being the regulators. And it comes

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<v Speaker 7>again the Digital Markets Act, which will come into force

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<v Speaker 7>on Thursday.

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<v Speaker 3>Think about it.

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<v Speaker 7>We're talking about one company, the app store and dealing

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<v Speaker 7>with music streaming. Starting this Thursday, you have major tech

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<v Speaker 7>companies that are going to be the touched by regulation

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<v Speaker 7>that is trying to deal with all of this kind

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<v Speaker 7>of competition in a major way. And that's not just

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<v Speaker 7>in the app Store, and it's not just with these

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<v Speaker 7>sort of apps. It is all encompassing these and they

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<v Speaker 7>really want to set a strong message that you need

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<v Speaker 7>to comply and that they are serious and that they

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<v Speaker 7>are here for business. I mean, listen, when you look

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<v Speaker 7>at this actual this actual fine one point eight four billion, right,

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<v Speaker 7>they broke this down. When you look at the arithmetic,

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<v Speaker 7>it's quite interesting. One point eight four billion. One point

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<v Speaker 7>eight of that is a lump sum that was put

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<v Speaker 7>on top specifically because it was Apple and why because

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<v Speaker 7>it correlates to their annual revenue zero point five percent.

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<v Speaker 7>So this is the EU saying that they're here and

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<v Speaker 7>they're here for business.

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<v Speaker 2>All right.

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<v Speaker 4>Bloomberg's Oliver Kirkout and Brussels across one of the top stories,

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<v Speaker 4>and tune in tomorrow when Oliver will sit down for

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<v Speaker 4>an interview with EU Executive Vice President Margreta Vesta. Coming

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<v Speaker 4>up on this program, we're going to talk about reddits IPO,

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<v Speaker 4>artificial intelligence, this collapse of Silicon Valley Bank, a big,

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<v Speaker 4>big and broad conversation coming up with Citizens Financial Group

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<v Speaker 4>chair and CEO Bruce ben Sorn. Caroline, I see some

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<v Speaker 4>breaking news in the airlines.

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<v Speaker 3>Yeah, KiB an eye on Boeing in particular. This is

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<v Speaker 3>a big breakthrough for them. American Airlines is indeed going

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<v Speaker 3>to be agreeing to buy two hundred and sixty new

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<v Speaker 3>short haul aircraft from Boeing, includes well eighty five Boeing

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<v Speaker 3>seven three seven Max tens.

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<v Speaker 5>That's a key endorsement. Therefore for the Plaine makecraft.

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<v Speaker 3>Well, we know January's near catastrophic incident on the airborne

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<v Speaker 3>Alaska Airlines flight currently up two point three percent on

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<v Speaker 3>American Airlines. Boeing still off by some three tenths of

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<v Speaker 3>a percent, So eighty five we're going to be seeing

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<v Speaker 3>Boeing Max ten aircraft and eighty five A three twenty

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<v Speaker 3>neo planes some air bus so look actually they're still

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<v Speaker 3>a ninety embry SAA E one hundred and seventy five

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<v Speaker 3>regional jets too. So American Airlines is spreading the love,

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<v Speaker 3>but it is giving a eighty five endorsement.

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<v Speaker 5>To Boeing Max ten aircraft.

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<v Speaker 3>There's a broombt tech energy cash flow management.

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<v Speaker 5>It's not always the sexiest.

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<v Speaker 3>But it's important and actually AI has a role in

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<v Speaker 3>terms of the sol here. JP Morgan's cashflow management tool

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<v Speaker 3>that runs on artificial intelligence helped some of its corporate

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<v Speaker 3>customers get their slash manual work, but almost ninety percent

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<v Speaker 3>since launching about a year ago, JP Morgan's wholesale payments

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<v Speaker 3>unit now has about twenty five hundred clients using the product.

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<v Speaker 3>And this follows other key banks, other lenders that have

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<v Speaker 3>been stepping up their use of artificial intelligence with the

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<v Speaker 3>aim of guess what, lifting productivity, reducing cost.

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<v Speaker 4>Said. One of those banks is Citizens. Let's talk more

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<v Speaker 4>about that with Bruce Van Sawn, chair and CEO Citizens

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<v Speaker 4>Financial Group, who's in town for the Citizens JMP Tech

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<v Speaker 4>conference that kicks off today in San Francisco. So, JP

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<v Speaker 4>Morgan has this idea that they wanted to add a

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<v Speaker 4>billion dollars of value and then the upgraded it to

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<v Speaker 4>one point five billion this year because of the work

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<v Speaker 4>they're doing in AI. Do you have a similar goal

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<v Speaker 4>in house that you're working on.

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<v Speaker 8>Well, maybe there's a less one less zero on some

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<v Speaker 8>of these numbers us versus them size wise, but clearly

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<v Speaker 8>that we have a similar product called cash Flow Essentials,

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<v Speaker 8>which helps small business forecasts through cash flows, and we're

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<v Speaker 8>rolling that out this year and we have great expectations

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<v Speaker 8>for it.

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<v Speaker 4>You come to town three years after to basically getting your

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<v Speaker 4>tech vertical set up through JMP. Is there one clear

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<v Speaker 4>ambition you have for this week that you think you

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<v Speaker 4>know in the conversations you'll have, and I know these

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<v Speaker 4>kinds of events, there's a bit of deal making that

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<v Speaker 4>goes on in the corridors as well.

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<v Speaker 7>Absolutely.

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<v Speaker 6>So.

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<v Speaker 8>We have well over one hundred companies presenting, both private

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<v Speaker 8>companies and public companies. We have several hundred investors attending.

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<v Speaker 8>So there's a lot of buzz about this conference, and

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<v Speaker 8>I think it's staged at a very good time where

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<v Speaker 8>the markets are starting to look more promising. We're seeing

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<v Speaker 8>some green shoots around IPOs, which is terrific, and I

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<v Speaker 8>think just looking at the US economy and how tech

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<v Speaker 8>is powering all industries and how AI has huge potential

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<v Speaker 8>going forward, it's a really good time to have people

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<v Speaker 8>get together and exchange their thoughts on that.

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<v Speaker 4>Let's jump in on the IPO situation then read it

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<v Speaker 4>is an important one for you. It's one that we're

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<v Speaker 4>talking a lot about on the show at the moment.

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<v Speaker 4>Just explain how that came about.

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<v Speaker 8>Well, I think we had a long relationship with them,

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<v Speaker 8>and so we're going to be one of the co

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<v Speaker 8>managers on the transaction and so they haven't filed yet,

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<v Speaker 8>but I think there's a huge amount of interest. It's

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<v Speaker 8>a great company.

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<v Speaker 3>Let's talk about whether or not that then spurs more

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<v Speaker 3>green shoots. As you said, you can't have just one

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<v Speaker 3>deal for green shoots in plural.

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<v Speaker 5>Are we likely to see.

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<v Speaker 3>A reopening because at the end of twenty twenty three, look,

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<v Speaker 3>I'm now really outperforming where it originally listed at. But

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<v Speaker 3>instacart queries over that one clave Yeo has done well.

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<v Speaker 3>But we all thought this was the reopening and then

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<v Speaker 3>it shut again.

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<v Speaker 8>Yeah, it's been required some patients the last couple of years.

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<v Speaker 8>So when we acquired JMP, it was the fourth quarter

0:11:05.880 --> 0:11:08.000
<v Speaker 8>of twenty one, and the markets were red hot at

0:11:08.000 --> 0:11:13.080
<v Speaker 8>that point, and so as rates went up and the

0:11:13.120 --> 0:11:17.400
<v Speaker 8>economy wobbled a little bit, I think that basically cut

0:11:17.480 --> 0:11:21.880
<v Speaker 8>the interest a little bit in IPOs. But again, I

0:11:21.920 --> 0:11:24.440
<v Speaker 8>think this year is the year when we're going to

0:11:24.440 --> 0:11:25.160
<v Speaker 8>see a breakthrough.

0:11:26.200 --> 0:11:30.720
<v Speaker 3>Do the breakthroughs have to talk up artificial intelligence, the

0:11:30.800 --> 0:11:33.360
<v Speaker 3>data that can be leaned on, for example, within Reddit,

0:11:33.640 --> 0:11:37.120
<v Speaker 3>the areas of expertise that they're in different adjacent industry groups.

0:11:38.559 --> 0:11:41.000
<v Speaker 8>I think it can be broad I think AI is

0:11:41.040 --> 0:11:44.240
<v Speaker 8>certainly top of mind for the market, but there's plenty

0:11:44.240 --> 0:11:50.640
<v Speaker 8>of great companies around security, different technology services that I

0:11:50.640 --> 0:11:53.400
<v Speaker 8>think also it's going to see a lot of growth.

0:11:53.440 --> 0:11:55.840
<v Speaker 8>So that's what the market ultimately focuses on, is what's

0:11:55.880 --> 0:11:59.120
<v Speaker 8>the growth trajectory, And so I think that extends beyond just.

0:11:59.160 --> 0:12:03.200
<v Speaker 3>AI, and let's talk about your growth trajectory with citizens

0:12:03.200 --> 0:12:07.480
<v Speaker 3>Financial and ultimately how the market is supporting other regional

0:12:07.559 --> 0:12:10.680
<v Speaker 3>lenders and banks such as yourself, because it is but

0:12:10.880 --> 0:12:13.960
<v Speaker 3>a year almost ago that we were in the CrOx

0:12:13.960 --> 0:12:16.640
<v Speaker 3>of the anxiety when it came to regional lenders here

0:12:16.640 --> 0:12:19.040
<v Speaker 3>in the United States, the explosion of Silicon Valley Bank

0:12:19.240 --> 0:12:22.480
<v Speaker 3>and ultimately some of the other spillover effects. Yourself managed

0:12:22.480 --> 0:12:25.000
<v Speaker 3>to whether that storm had different business models in place,

0:12:25.320 --> 0:12:27.319
<v Speaker 3>but your share price is still under pressure, and there's

0:12:27.320 --> 0:12:29.880
<v Speaker 3>still anxiety around commercial real estate, for example, which we

0:12:29.880 --> 0:12:31.960
<v Speaker 3>see front and center with New York Community Bank Corp.

0:12:32.280 --> 0:12:36.040
<v Speaker 3>How are you seeing love green shoots appreciation of your

0:12:36.080 --> 0:12:36.959
<v Speaker 3>business at the moment.

0:12:38.520 --> 0:12:41.600
<v Speaker 8>Yeah, So I think last year was a challenging year

0:12:41.640 --> 0:12:46.640
<v Speaker 8>for sure, with the idiosyncratic bank failures. Things have stabilized

0:12:46.679 --> 0:12:50.040
<v Speaker 8>since then. Certainly, the deposit position is very strong. We

0:12:50.120 --> 0:12:52.920
<v Speaker 8>have a very strong capital position. So last year we've

0:12:52.920 --> 0:12:55.600
<v Speaker 8>spent a lot of time focused on defense and making

0:12:55.640 --> 0:12:58.280
<v Speaker 8>sure our balance sheet was solid, put away plenty of

0:12:58.320 --> 0:13:02.200
<v Speaker 8>reserves for areas real estate, which we think those losses

0:13:02.240 --> 0:13:05.280
<v Speaker 8>will be manageable for us. But you know, we always

0:13:05.320 --> 0:13:07.600
<v Speaker 8>talk about you can't just win playing defense, you got

0:13:07.600 --> 0:13:10.679
<v Speaker 8>to play offense as well. So we have some great initiatives.

0:13:11.080 --> 0:13:14.640
<v Speaker 8>We have the Citizens Private Bank, where we lifted out

0:13:14.640 --> 0:13:17.280
<v Speaker 8>a bunch of folks from JP Morgan. We're committed to

0:13:17.320 --> 0:13:21.320
<v Speaker 8>this region here in northern California. We have JMP and

0:13:21.360 --> 0:13:23.480
<v Speaker 8>now we came in over the top with the Private bank,

0:13:23.520 --> 0:13:26.600
<v Speaker 8>world class best in breed bankers. So we're connected to

0:13:26.880 --> 0:13:30.000
<v Speaker 8>the whole innovation economy, the VC world, the PE world,

0:13:30.280 --> 0:13:32.200
<v Speaker 8>all the folks who are creating lots of wealth here.

0:13:32.280 --> 0:13:35.360
<v Speaker 8>So excited by that. We also have a big effort

0:13:35.360 --> 0:13:37.960
<v Speaker 8>going on in New York, where we had acquired two

0:13:38.000 --> 0:13:41.320
<v Speaker 8>bank franchises a couple of years back, and we're making

0:13:41.360 --> 0:13:43.640
<v Speaker 8>great inroads in that New York market. And then I

0:13:43.640 --> 0:13:45.760
<v Speaker 8>would say the third thing that we're high on is

0:13:46.280 --> 0:13:49.439
<v Speaker 8>just our ability to serve private capital around the country.

0:13:49.520 --> 0:13:55.400
<v Speaker 8>So we built out M and a capability sponsored coverage capability,

0:13:55.440 --> 0:14:00.720
<v Speaker 8>and so we're really anticipating when private capital really kicks in.

0:14:00.760 --> 0:14:03.440
<v Speaker 8>I think you'll start to see more deal flow in Pe.

0:14:03.600 --> 0:14:06.320
<v Speaker 8>Certainly our pipelines are looking very strong for the year.

0:14:06.800 --> 0:14:09.360
<v Speaker 4>The lesson that I learned out of what happened a

0:14:09.440 --> 0:14:13.800
<v Speaker 4>year ago Silicon Valley Bank is how concentrated the access

0:14:13.800 --> 0:14:19.120
<v Speaker 4>to working capital was for technology companies SMEs. Essentially, what

0:14:19.240 --> 0:14:21.680
<v Speaker 4>was your big takeaway? What was the one lesson or

0:14:21.720 --> 0:14:26.400
<v Speaker 4>permanent change of the last twelve months resulting from that saga?

0:14:26.800 --> 0:14:29.800
<v Speaker 8>Well, I think people were a bit envious about how

0:14:30.080 --> 0:14:32.480
<v Speaker 8>Silicon Valley Bank had locked in a lot of that

0:14:32.560 --> 0:14:36.480
<v Speaker 8>customer base, and First Republic also, So now the demise

0:14:36.520 --> 0:14:39.920
<v Speaker 8>of both of those banks creates a real opportunity for folks.

0:14:39.960 --> 0:14:42.800
<v Speaker 8>There's avoid there and so it's all about talent and

0:14:42.840 --> 0:14:47.720
<v Speaker 8>it's about commitment. It's about strength of offerings and capabilities.

0:14:47.760 --> 0:14:50.680
<v Speaker 8>And so we're marching right in to help fill that void.

0:14:51.160 --> 0:14:53.240
<v Speaker 3>And you'll be hearing from some of those businesses, those

0:14:53.240 --> 0:14:56.240
<v Speaker 3>sectors you're shining a light on at your event this week.

0:14:56.240 --> 0:14:59.440
<v Speaker 3>We thank you so much. Please, friends on Chair, CEO, Citizens,

0:14:59.560 --> 0:15:09.680
<v Speaker 3>Financial or group, let's just return to look at the

0:15:09.720 --> 0:15:13.080
<v Speaker 3>Elon Musk lawsuit against open ai filed last week and

0:15:13.080 --> 0:15:16.400
<v Speaker 3>as the company violated its founding mission, putting profit ahead

0:15:16.400 --> 0:15:20.760
<v Speaker 3>of benefiting humanity, VC community weighing in and treeson and

0:15:20.800 --> 0:15:23.120
<v Speaker 3>of course for Kostla that we saw over the weekend.

0:15:23.120 --> 0:15:24.640
<v Speaker 5>But let's get a legal perspective for you.

0:15:24.720 --> 0:15:28.080
<v Speaker 3>Christina Garnia is with US technology lawyer over at Jeffer Mangels,

0:15:28.120 --> 0:15:31.400
<v Speaker 3>Butler and Mitchell, whose practice focuses on technology transactions, on

0:15:31.440 --> 0:15:34.440
<v Speaker 3>intellectual property and a whole raft of areas that have

0:15:34.520 --> 0:15:39.400
<v Speaker 3>caught the technology sphere and its focus. But Christina, is

0:15:39.440 --> 0:15:42.400
<v Speaker 3>this some sort of distraction, as a coastal would say

0:15:42.400 --> 0:15:44.960
<v Speaker 3>at the moment, these sorts of lebal implications of open ai,

0:15:45.360 --> 0:15:47.880
<v Speaker 3>or will they force some sort of transparency as to

0:15:47.880 --> 0:15:51.640
<v Speaker 3>whether or not artificial intelligence should be being grown in

0:15:51.720 --> 0:15:54.200
<v Speaker 3>a closed environment or indeed an open one.

0:15:55.560 --> 0:15:57.840
<v Speaker 9>So I think the complaint is really interesting because it

0:15:57.880 --> 0:16:00.920
<v Speaker 9>really is setting out this framing of you know, open

0:16:00.960 --> 0:16:04.160
<v Speaker 9>ai was open source and it was nonprofit, and so

0:16:04.440 --> 0:16:06.800
<v Speaker 9>you know that was sort of this thing that helped

0:16:06.800 --> 0:16:08.800
<v Speaker 9>it to grow and to thrive, and you know, this

0:16:08.840 --> 0:16:11.080
<v Speaker 9>is not happening in a vacuum. There's a lot of

0:16:11.160 --> 0:16:14.200
<v Speaker 9>history between the parties, but this is really about you know,

0:16:14.320 --> 0:16:17.359
<v Speaker 9>open source and nonprofit and you see across the technology

0:16:17.360 --> 0:16:20.680
<v Speaker 9>space over the years, a lot of very interesting technologies

0:16:20.720 --> 0:16:23.600
<v Speaker 9>came from the nonprofit space and remained open source. And

0:16:23.640 --> 0:16:25.760
<v Speaker 9>the value of that has been that if there are

0:16:25.840 --> 0:16:28.040
<v Speaker 9>issues with the technology and there's things that need to

0:16:28.040 --> 0:16:31.480
<v Speaker 9>be fixed, you have researchers, academics and technologists who have

0:16:31.520 --> 0:16:34.200
<v Speaker 9>access to it. And so you know, this idea that

0:16:34.280 --> 0:16:37.160
<v Speaker 9>now it is for profit, commercialized and sort of deviated

0:16:37.160 --> 0:16:40.160
<v Speaker 9>from the original mission of what open ai was supposed

0:16:40.200 --> 0:16:42.640
<v Speaker 9>to be, you know, present some really interesting issues and

0:16:43.080 --> 0:16:45.120
<v Speaker 9>you know, again, this isn't happening in a vacuum. So

0:16:45.480 --> 0:16:47.880
<v Speaker 9>you know, there are regulators across the globe who are

0:16:47.880 --> 0:16:51.320
<v Speaker 9>looking at AI technologies right now. So this, you know,

0:16:51.400 --> 0:16:54.640
<v Speaker 9>the themes of this lawsuit sort of feed into that

0:16:54.800 --> 0:16:58.080
<v Speaker 9>concern about the stewardship of the technology. So one of

0:16:58.080 --> 0:17:00.680
<v Speaker 9>the interesting things and the complaint is that you know,

0:17:00.720 --> 0:17:03.960
<v Speaker 9>the board itself of open ai started out as this

0:17:04.160 --> 0:17:07.040
<v Speaker 9>depth of knowledge of AI technologies, and one of the

0:17:07.080 --> 0:17:09.720
<v Speaker 9>allegations in the complaint is that the new board doesn't

0:17:09.760 --> 0:17:12.280
<v Speaker 9>have that depth of knowledge, and so there's this larger

0:17:12.320 --> 0:17:15.320
<v Speaker 9>stewardship question. I think that you know, the general consumer

0:17:15.400 --> 0:17:19.400
<v Speaker 9>public AI is still very new, right, many people chat

0:17:19.480 --> 0:17:22.000
<v Speaker 9>EBT is there, you know.

0:17:22.080 --> 0:17:25.040
<v Speaker 4>Touch stown now with h le le let's just hit

0:17:25.119 --> 0:17:27.439
<v Speaker 4>let's just hit the brakes a second. That you are

0:17:27.480 --> 0:17:31.680
<v Speaker 4>an experience, experienced technology lawyer. But for loads of people,

0:17:31.720 --> 0:17:34.760
<v Speaker 4>I don't think anyone really understands that the root of

0:17:35.280 --> 0:17:40.240
<v Speaker 4>MUSK is the plaintiff's complaint here. So he's saying it

0:17:40.359 --> 0:17:43.919
<v Speaker 4>started as a nonprofit for the betterment of humanity, and

0:17:43.960 --> 0:17:47.200
<v Speaker 4>now he's saying that's not the case. But what legal

0:17:47.320 --> 0:17:51.320
<v Speaker 4>grounds does MUSK have, if any, to make that complaint

0:17:51.400 --> 0:17:53.800
<v Speaker 4>and what is it that he's trying to change.

0:17:55.359 --> 0:17:57.960
<v Speaker 9>So he's bringing a breach of contract claim. That's that's

0:17:58.000 --> 0:18:00.880
<v Speaker 9>basically the basis of the lawsuit. You know, I don't

0:18:00.920 --> 0:18:04.720
<v Speaker 9>know what grounds there necessarily are. The complaint is really

0:18:04.760 --> 0:18:08.840
<v Speaker 9>around this framing that the articles of incorporation as well

0:18:08.880 --> 0:18:12.280
<v Speaker 9>as communications over the years form the basis of a

0:18:12.320 --> 0:18:15.400
<v Speaker 9>founding agreement and that there's been a violation of that agreement.

0:18:15.480 --> 0:18:18.280
<v Speaker 9>But you know, this was just filed last Thursday. I

0:18:18.320 --> 0:18:21.000
<v Speaker 9>think there are some issues as to whether or not

0:18:21.240 --> 0:18:24.600
<v Speaker 9>there're standing in the case, and so that'll be something

0:18:24.600 --> 0:18:26.919
<v Speaker 9>that we remain to be seen as a case progresses.

0:18:27.640 --> 0:18:29.880
<v Speaker 9>The other thing that you know, this case could also

0:18:30.000 --> 0:18:32.199
<v Speaker 9>be this lawsuit filing could be is a device to

0:18:32.200 --> 0:18:35.680
<v Speaker 9>get information. Again, the parties have a long history, and

0:18:35.760 --> 0:18:37.680
<v Speaker 9>if the case were to move forward and survive in

0:18:37.720 --> 0:18:41.000
<v Speaker 9>motion to dismissed for example, you know, discovery could you know,

0:18:41.119 --> 0:18:43.960
<v Speaker 9>give the parties access to information they normally wouldn't have.

0:18:44.240 --> 0:18:46.240
<v Speaker 9>So I think it remains to be seen if this

0:18:46.320 --> 0:18:50.240
<v Speaker 9>suit really is a betterment of humanity, open source lawsuit

0:18:50.280 --> 0:18:53.160
<v Speaker 9>for the good of AI and for the stewardship of AI,

0:18:53.400 --> 0:18:55.800
<v Speaker 9>or whether or not, you know, this was a device

0:18:55.840 --> 0:18:56.600
<v Speaker 9>to get information.

0:18:56.880 --> 0:18:59.080
<v Speaker 5>So you know, we'll see what happens over the next

0:18:59.119 --> 0:18:59.679
<v Speaker 5>couple of weeks.

0:19:00.160 --> 0:19:03.360
<v Speaker 3>Yeah, have we ever seen have you ever acted on

0:19:04.200 --> 0:19:07.640
<v Speaker 3>legal arguments that take issue with the fact that ultimately

0:19:07.680 --> 0:19:11.080
<v Speaker 3>a company completely pivoted and whether or not it's a

0:19:11.080 --> 0:19:13.359
<v Speaker 3>pivot of business model application or whether it's that you

0:19:13.400 --> 0:19:15.399
<v Speaker 3>were not for profit and then you became for profit.

0:19:15.640 --> 0:19:19.400
<v Speaker 5>Have we got any precedents so that sort of thing, There's.

0:19:19.200 --> 0:19:21.639
<v Speaker 9>Not a lot of precedence in the space. You know,

0:19:21.760 --> 0:19:25.399
<v Speaker 9>many technologies that start as nonprofit do remain so. But

0:19:25.960 --> 0:19:28.280
<v Speaker 9>I think part of this is transparency. I think that

0:19:28.320 --> 0:19:30.720
<v Speaker 9>you know, throughout the complaint there's reference to just the

0:19:30.760 --> 0:19:34.000
<v Speaker 9>transparency in the process, the transparency and the transition between

0:19:34.040 --> 0:19:37.240
<v Speaker 9>this nonprofit, open source model and what we're finding today.

0:19:37.359 --> 0:19:39.800
<v Speaker 9>So a lot of this comes back to things that

0:19:39.840 --> 0:19:42.200
<v Speaker 9>you know, have been well tread ground over the last

0:19:42.240 --> 0:19:44.159
<v Speaker 9>you know, year or so in terms of just the

0:19:44.200 --> 0:19:47.159
<v Speaker 9>transparency and open AI and the communications coming out of

0:19:47.160 --> 0:19:49.760
<v Speaker 9>the company. But again, I think that you know, this

0:19:49.840 --> 0:19:52.960
<v Speaker 9>does bring up some really interesting and timely themes around

0:19:53.000 --> 0:19:54.400
<v Speaker 9>stewardship of AI generally.

0:19:55.960 --> 0:19:59.480
<v Speaker 4>Christina Ganne, partner at Jeffer Mangles Butler Mature, We're really

0:19:59.480 --> 0:20:02.399
<v Speaker 4>grateful for you expertise and we will continue to track

0:20:02.440 --> 0:20:05.520
<v Speaker 4>that case and suit. Let's get back to Reddit's IPO.

0:20:05.640 --> 0:20:09.080
<v Speaker 4>The company is seeking a six point five billion dollar valuation,

0:20:09.560 --> 0:20:12.040
<v Speaker 4>that's according to Bloomberg sources, and we're bring boombogs Katie

0:20:12.119 --> 0:20:14.640
<v Speaker 4>Ruth on the deal's team. We're kind of jumping around

0:20:14.640 --> 0:20:16.959
<v Speaker 4>a bit here, right the last private round ten billion,

0:20:17.280 --> 0:20:20.000
<v Speaker 4>then the reporting was the IPO might target five billion.

0:20:20.200 --> 0:20:22.600
<v Speaker 4>We're kind of up to six point five billion. What

0:20:22.680 --> 0:20:25.680
<v Speaker 4>else do we know, sure.

0:20:25.440 --> 0:20:27.520
<v Speaker 1>And so you know this happens because it can be

0:20:27.600 --> 0:20:30.800
<v Speaker 1>hard to guess exactly where the market is going to

0:20:30.800 --> 0:20:34.840
<v Speaker 1>be when Reddit debuts, likely later this month.

0:20:35.600 --> 0:20:38.280
<v Speaker 5>But yeah, so they were valued about.

0:20:37.920 --> 0:20:40.560
<v Speaker 1>Ten billion in twenty twenty one, but that was also

0:20:40.600 --> 0:20:44.800
<v Speaker 1>the peak of the tech private tech market, and so

0:20:45.080 --> 0:20:48.080
<v Speaker 1>you know, many companies are expecting that they will be

0:20:48.200 --> 0:20:50.960
<v Speaker 1>valued less when they go public. Yes, we had heard,

0:20:51.280 --> 0:20:55.040
<v Speaker 1>you know, early talks had them valued around five billion,

0:20:55.119 --> 0:20:57.359
<v Speaker 1>but it's now looking like ahead of the road show,

0:20:58.080 --> 0:21:01.280
<v Speaker 1>bankers think they can get six point five billion for it.

0:21:01.359 --> 0:21:05.000
<v Speaker 1>But sometimes these things, you know, raise or even lower

0:21:05.119 --> 0:21:08.680
<v Speaker 1>during the road show, depending on how demand looks from

0:21:08.680 --> 0:21:10.040
<v Speaker 1>the institutional investors.

0:21:10.960 --> 0:21:14.159
<v Speaker 3>And it is it institutional investors that are going to

0:21:14.200 --> 0:21:16.840
<v Speaker 3>be the mainstay for a name, right Reddit, A lot

0:21:16.840 --> 0:21:19.359
<v Speaker 3>of this is going to be trading on well, the

0:21:19.480 --> 0:21:21.480
<v Speaker 3>exuberants from retail too.

0:21:21.560 --> 0:21:23.800
<v Speaker 5>I mean, it's a key retail name in so many ways.

0:21:25.240 --> 0:21:27.640
<v Speaker 1>Sure, I'm sure Reddit would love to have both kinds

0:21:27.680 --> 0:21:31.760
<v Speaker 1>of investors, but you know, bankers really target these large

0:21:32.000 --> 0:21:35.880
<v Speaker 1>institutional investors to try to hold the stock because they

0:21:35.920 --> 0:21:39.200
<v Speaker 1>need large anchors that they can trust, will you know,

0:21:39.480 --> 0:21:42.440
<v Speaker 1>keep the stock for a while. So during this road show,

0:21:42.480 --> 0:21:47.520
<v Speaker 1>they're going to market reddit to these investors, try to

0:21:47.520 --> 0:21:49.520
<v Speaker 1>get a sense of how much demand is there and

0:21:49.560 --> 0:21:50.879
<v Speaker 1>then set the price accordingly.

0:21:51.720 --> 0:21:54.560
<v Speaker 3>We keep an eye on all those discussions on price points,

0:21:54.640 --> 0:21:59.560
<v Speaker 3>Katie Roof. We thank you for keeping ourselves feed on it.

0:22:05.200 --> 0:22:09.320
<v Speaker 4>Welcome back to Bloomberg Technology, Ed Ludlow here in San Francisco.

0:22:08.880 --> 0:22:10.399
<v Speaker 3>And Parentline had in New York. Let's get you a

0:22:10.480 --> 0:22:13.480
<v Speaker 3>check on these markets. Because little bit of give in

0:22:13.560 --> 0:22:15.720
<v Speaker 3>the overall perspective of Dastak and the S and P

0:22:15.840 --> 0:22:18.000
<v Speaker 3>five hundred, we'd had what fifteen record highs the S

0:22:18.040 --> 0:22:19.879
<v Speaker 3>and P five hundred. We're just taking a little bit

0:22:19.880 --> 0:22:21.960
<v Speaker 3>of money off with a little bit of calmness ahead

0:22:21.960 --> 0:22:23.680
<v Speaker 3>of the jobs data later this week, and of course

0:22:23.680 --> 0:22:25.880
<v Speaker 3>we continue to build the narrative coming from the federals

0:22:25.920 --> 0:22:27.480
<v Speaker 3>of now's like one hundred off by two.

0:22:27.440 --> 0:22:28.040
<v Speaker 5>Tens of percent.

0:22:28.119 --> 0:22:31.119
<v Speaker 3>Let's call it SMP five hundred down about ten per percent.

0:22:31.119 --> 0:22:33.159
<v Speaker 3>As I say, fifteen record highs had been hit. I'm

0:22:33.200 --> 0:22:35.040
<v Speaker 3>looking at bitcoin. Note no give up there in that

0:22:35.080 --> 0:22:37.560
<v Speaker 3>particular run up in the asset type, we're up five

0:22:37.600 --> 0:22:40.880
<v Speaker 3>point seven percent, sixty six thousand dollars handle. We continue

0:22:40.880 --> 0:22:42.960
<v Speaker 3>to push towards that all time high of sixty nine

0:22:42.960 --> 0:22:45.440
<v Speaker 3>thousand hit all the way back in November twenty twenty one.

0:22:45.680 --> 0:22:46.760
<v Speaker 3>Move on and have a look at some of the

0:22:46.800 --> 0:22:49.560
<v Speaker 3>individual movers that we're keeping a niner eye on, because

0:22:49.600 --> 0:22:51.480
<v Speaker 3>Apple is down two point seven percent that this is

0:22:51.480 --> 0:22:53.760
<v Speaker 3>a big hit of course to the overall benchmarks.

0:22:53.960 --> 0:22:55.200
<v Speaker 5>Just still one of the Magnificent seven.

0:22:55.240 --> 0:22:57.800
<v Speaker 3>And we have seen Apple giving away significant amount of

0:22:57.840 --> 0:23:00.240
<v Speaker 3>market value since not that really the start of the year.

0:23:00.240 --> 0:23:02.359
<v Speaker 3>We're questioning, of course, some of the sales that are

0:23:02.400 --> 0:23:04.320
<v Speaker 3>going on at the moment, and of course we continue

0:23:04.320 --> 0:23:07.119
<v Speaker 3>to see some of the overall downward trajectory of Apple

0:23:07.240 --> 0:23:09.920
<v Speaker 3>and how it's really split apart from the SMP five

0:23:10.000 --> 0:23:11.879
<v Speaker 3>hundred and some of the weakness that we see from China.

0:23:12.080 --> 0:23:13.760
<v Speaker 3>Let's look at the weakness that we see from China

0:23:13.800 --> 0:23:14.320
<v Speaker 3>when it comes.

0:23:14.200 --> 0:23:16.600
<v Speaker 5>To Tesra as well. That's been some of the narrative today.

0:23:16.600 --> 0:23:18.439
<v Speaker 3>We're off by six percent, one of the key movers

0:23:18.440 --> 0:23:20.680
<v Speaker 3>in terms of points on the NASAC overall, as we

0:23:20.720 --> 0:23:23.520
<v Speaker 3>think about the supply chain over there and indeed demand,

0:23:23.760 --> 0:23:26.680
<v Speaker 3>I'm looking at what's happening though on some that higher side.

0:23:26.760 --> 0:23:27.680
<v Speaker 5>This is a company that is.

0:23:27.720 --> 0:23:30.840
<v Speaker 3>Finally, because of its rampant growth, the AI Bullishness has

0:23:30.880 --> 0:23:33.040
<v Speaker 3>been entered into the s and P five hundred index

0:23:33.240 --> 0:23:35.159
<v Speaker 3>mark twenty four percent on the day. We know it

0:23:35.240 --> 0:23:37.480
<v Speaker 3>is a hugely volatile name, but keeping an eye on

0:23:37.480 --> 0:23:39.720
<v Speaker 3>the super microcomputer, ED, what have you got.

0:23:40.560 --> 0:23:43.600
<v Speaker 4>Let's talk a little bit more about Aianthropic today, debuting

0:23:43.800 --> 0:23:48.120
<v Speaker 4>three new AI models from its Clawed three model family, Haiku, Sonnet,

0:23:48.320 --> 0:23:52.679
<v Speaker 4>and opus Or, offering increasingly powerful performance allowing users to

0:23:52.720 --> 0:23:56.800
<v Speaker 4>select the optimal balance of intelligence, speed and cost for

0:23:56.840 --> 0:24:00.760
<v Speaker 4>their specific application. I'm delighted to say that, Dennie Lamday,

0:24:00.920 --> 0:24:03.200
<v Speaker 4>president and co founder of om Fropic, here on set

0:24:03.240 --> 0:24:06.879
<v Speaker 4>in San Francisco, you're saying these models are twice as

0:24:07.119 --> 0:24:09.480
<v Speaker 4>likely to answer a question correctly?

0:24:10.000 --> 0:24:10.840
<v Speaker 8>What do we mean by that?

0:24:11.560 --> 0:24:13.760
<v Speaker 10>So, first of all, Ed, thank you so much for

0:24:14.320 --> 0:24:17.040
<v Speaker 10>having me on the program today. We are very excited

0:24:17.080 --> 0:24:21.240
<v Speaker 10>to be announcing this new model family of Claude three.

0:24:21.800 --> 0:24:23.439
<v Speaker 5>And really, when you say you.

0:24:23.440 --> 0:24:26.399
<v Speaker 10>Know, twice as likely to answer you know correctly what

0:24:26.560 --> 0:24:30.240
<v Speaker 10>that means is how high or how likely is it that.

0:24:30.320 --> 0:24:32.119
<v Speaker 5>One of these models was sort of make something up?

0:24:32.520 --> 0:24:36.480
<v Speaker 10>And so in addition to making these kind of intelligence

0:24:36.560 --> 0:24:40.639
<v Speaker 10>advances really across all three models. We've also been working

0:24:40.800 --> 0:24:44.440
<v Speaker 10>on many of the common challenges that businesses and in

0:24:44.560 --> 0:24:49.760
<v Speaker 10>particular enterprises face when integrating generative AI into their businesses

0:24:49.920 --> 0:24:50.560
<v Speaker 10>and workflow.

0:24:50.840 --> 0:24:53.480
<v Speaker 4>One computer scientist reached out to me and said, oh,

0:24:53.480 --> 0:24:57.000
<v Speaker 4>I've never used Claude, but I'm impressed by the testing scores,

0:24:57.320 --> 0:25:00.399
<v Speaker 4>but also impressed by the fact that it's available straight away.

0:25:00.840 --> 0:25:03.359
<v Speaker 4>And I also note that Amazon Aws came out very

0:25:03.440 --> 0:25:05.639
<v Speaker 4>quick to say go to Bedrock, you can use it

0:25:05.760 --> 0:25:08.639
<v Speaker 4>right now. Bedrock's been a real success for you guys

0:25:08.760 --> 0:25:13.120
<v Speaker 4>in commercial commercializing the underlying models. Just explain the rollout

0:25:13.240 --> 0:25:15.520
<v Speaker 4>and how you're able to do this immediately.

0:25:16.240 --> 0:25:20.240
<v Speaker 10>So what's being offered today? So you mentioned those those

0:25:20.280 --> 0:25:23.080
<v Speaker 10>three models in the family. So Claude three Opus is

0:25:23.160 --> 0:25:27.680
<v Speaker 10>really our most powerful state of the art model. Claud

0:25:27.760 --> 0:25:31.000
<v Speaker 10>three Sonnet is that middle model that is still incredibly

0:25:31.119 --> 0:25:36.359
<v Speaker 10>capable and quite price competitive, particularly for its intelligence class,

0:25:36.400 --> 0:25:39.440
<v Speaker 10>and very fast. And then Claude three Haiku is the

0:25:39.560 --> 0:25:43.359
<v Speaker 10>kind of fastest model really really great for sort of

0:25:43.720 --> 0:25:46.119
<v Speaker 10>you know, any type of US case that requires a

0:25:46.160 --> 0:25:50.040
<v Speaker 10>quick response. And so today what's available in our API

0:25:50.400 --> 0:25:52.919
<v Speaker 10>is Claude Opus and Claude Sonnet. So the bigger two

0:25:53.000 --> 0:25:56.480
<v Speaker 10>models Claude three Hiku will be rolled out in the

0:25:56.560 --> 0:26:00.760
<v Speaker 10>coming weeks, and then on AWS Bedrock you can access

0:26:01.160 --> 0:26:04.600
<v Speaker 10>cloud son it that middle model today and also on

0:26:04.880 --> 0:26:08.399
<v Speaker 10>GCP Vertex in private preview you can also access clouds

0:26:08.400 --> 0:26:11.359
<v Speaker 10>on it. And I'd be remiss to not mention claud

0:26:11.400 --> 0:26:15.119
<v Speaker 10>Ai our consumer consumer product, you can access clouds on

0:26:15.200 --> 0:26:18.600
<v Speaker 10>it for free and claud Opis is available for our

0:26:18.680 --> 0:26:19.520
<v Speaker 10>pro users as well.

0:26:19.680 --> 0:26:22.120
<v Speaker 3>But Daniel, what's been interesting about the focus that you've

0:26:22.160 --> 0:26:25.240
<v Speaker 3>had at Anthropic is on the commercial use, is on

0:26:25.560 --> 0:26:29.399
<v Speaker 3>the business case use, and I'm interested it isn't Opus

0:26:29.520 --> 0:26:32.439
<v Speaker 3>is relatively expensive compared to some of the competitors out there.

0:26:32.800 --> 0:26:35.720
<v Speaker 5>What is what your client base drawn to.

0:26:36.119 --> 0:26:38.160
<v Speaker 3>Is it still the focus on safety, which was first

0:26:38.200 --> 0:26:40.240
<v Speaker 3>and foremost, or what else are you winning them on

0:26:40.359 --> 0:26:41.120
<v Speaker 3>over the competition.

0:26:42.640 --> 0:26:45.800
<v Speaker 10>So, really, the kind of reasoning behind why we did

0:26:45.880 --> 0:26:48.920
<v Speaker 10>this model family was we wanted to give, you know,

0:26:49.119 --> 0:26:53.119
<v Speaker 10>enterprise businesses as much choice as possible to really be

0:26:53.200 --> 0:26:57.240
<v Speaker 10>able to toggle between what is the most important kind

0:26:57.280 --> 0:27:00.960
<v Speaker 10>of element for their business or even in particular for

0:27:01.320 --> 0:27:04.360
<v Speaker 10>their use cases. We anticipate some of our customers may

0:27:04.560 --> 0:27:08.320
<v Speaker 10>use you know, multiple models just for different applications. So

0:27:08.960 --> 0:27:11.639
<v Speaker 10>you know, Claude three Opus is really a great choice

0:27:11.680 --> 0:27:14.120
<v Speaker 10>if you're if you need the kind of most powerful

0:27:14.520 --> 0:27:18.280
<v Speaker 10>state of the art model for very complex reasoning. And

0:27:18.400 --> 0:27:20.919
<v Speaker 10>I also, you know, should say so much of our

0:27:21.160 --> 0:27:24.959
<v Speaker 10>enterprise kind of strategy has been around building these models

0:27:25.040 --> 0:27:30.480
<v Speaker 10>and making them increasingly more intelligent and fast, but really

0:27:30.600 --> 0:27:35.800
<v Speaker 10>also ensuring that throughout we are prioritizing reliability and trustworthiness.

0:27:36.119 --> 0:27:38.119
<v Speaker 10>So many of the businesses that we build on that

0:27:38.440 --> 0:27:42.000
<v Speaker 10>build on Claude, you know, really require a deep amount

0:27:42.040 --> 0:27:44.480
<v Speaker 10>of trust with the customers that they're ultimately building for.

0:27:44.840 --> 0:27:46.720
<v Speaker 10>And that's really been kind of a guiding factor for

0:27:47.240 --> 0:27:49.600
<v Speaker 10>us as we have been training these models for our customers.

0:27:50.240 --> 0:27:52.440
<v Speaker 3>And that goes straight to the heart of some of

0:27:52.560 --> 0:27:57.560
<v Speaker 3>the difficulties that have consumed your competitors and just general

0:27:57.600 --> 0:28:01.720
<v Speaker 3>adoption of AI within the landscape from a regulative perspective

0:28:01.760 --> 0:28:03.800
<v Speaker 3>and a consuming use point, I think of, yeah, the

0:28:03.880 --> 0:28:06.159
<v Speaker 3>image generation part of the equation right now, we all

0:28:06.200 --> 0:28:08.000
<v Speaker 3>look to what's happening with Gemini and the fact that

0:28:08.080 --> 0:28:10.800
<v Speaker 3>they try to alleviate the bias issues and in so

0:28:11.000 --> 0:28:14.680
<v Speaker 3>doing ended up with ahistorical images talk us through some

0:28:14.800 --> 0:28:17.119
<v Speaker 3>of the ways in which you get over the hurdles

0:28:17.520 --> 0:28:19.480
<v Speaker 3>of trying to put safety first, of trying to put

0:28:19.520 --> 0:28:22.640
<v Speaker 3>bias first, but trying to get these ultimately incredibly powerful

0:28:22.680 --> 0:28:24.080
<v Speaker 3>models into people's hands quickly.

0:28:25.520 --> 0:28:27.600
<v Speaker 10>So one of the things that we have always really

0:28:27.680 --> 0:28:32.000
<v Speaker 10>focused on from day one is this question around safety

0:28:32.320 --> 0:28:36.399
<v Speaker 10>and trustworthiness and reliability. And while it's the case that

0:28:36.520 --> 0:28:39.640
<v Speaker 10>you know, no model available on the market today is perfect,

0:28:39.960 --> 0:28:43.480
<v Speaker 10>Andthropic has always really aimed to be the industry leader

0:28:43.560 --> 0:28:47.200
<v Speaker 10>when it comes to safety. We use a technique called

0:28:47.400 --> 0:28:51.600
<v Speaker 10>constitutional AI which helps to provide all of our models,

0:28:51.640 --> 0:28:55.240
<v Speaker 10>including the Claude three model family, with this sort of

0:28:55.400 --> 0:29:00.400
<v Speaker 10>constitution for how to approach you know, challenging question right,

0:29:00.720 --> 0:29:03.480
<v Speaker 10>introducing a sort of layer of nuance into how the

0:29:03.560 --> 0:29:06.600
<v Speaker 10>models might respond to two difficult prompts.

0:29:07.520 --> 0:29:10.800
<v Speaker 4>Daniel, you and many of your co founders. An Anthropic

0:29:10.920 --> 0:29:14.440
<v Speaker 4>previously worked at open AI. Elon Musk has sued open

0:29:14.480 --> 0:29:18.840
<v Speaker 4>AI and is saying, basically, they're breaching their original contracts

0:29:18.920 --> 0:29:21.600
<v Speaker 4>because they are no longer a not for profit and

0:29:21.720 --> 0:29:26.560
<v Speaker 4>they are not following that original mission of benefiting humanity

0:29:26.840 --> 0:29:27.520
<v Speaker 4>through their work.

0:29:28.000 --> 0:29:29.080
<v Speaker 7>Your reaction to.

0:29:29.120 --> 0:29:32.400
<v Speaker 4>That, given your history open Ey, but also the work

0:29:32.480 --> 0:29:35.320
<v Speaker 4>you're doing now at Enthropic, which has a similar not

0:29:35.480 --> 0:29:36.600
<v Speaker 4>for profit set up.

0:29:37.640 --> 0:29:40.080
<v Speaker 10>So something that we've always aimed to do as a

0:29:40.760 --> 0:29:44.880
<v Speaker 10>public benefit corporation at Anthropic is really balance the kind

0:29:44.880 --> 0:29:49.000
<v Speaker 10>of incredible potential power of these technologies well still ensuring

0:29:49.080 --> 0:29:52.560
<v Speaker 10>that what we're developing is reliable and safe and really

0:29:52.640 --> 0:29:55.600
<v Speaker 10>our kind of founding vision, right our founding mission for

0:29:55.680 --> 0:29:59.040
<v Speaker 10>the company was, let's work to really raise the water

0:29:59.160 --> 0:30:01.959
<v Speaker 10>mark in the industry of AI and ensure that whenever

0:30:02.120 --> 0:30:04.400
<v Speaker 10>we put a model on the market, Anthropic wants to

0:30:04.440 --> 0:30:06.440
<v Speaker 10>feel very confident that it is as safe as it

0:30:06.960 --> 0:30:09.400
<v Speaker 10>can be. And I think what has been so exciting

0:30:09.480 --> 0:30:11.920
<v Speaker 10>I think about this model release is really raising that

0:30:12.080 --> 0:30:15.160
<v Speaker 10>watermark not just on safety, but also on intelligence and

0:30:15.200 --> 0:30:19.080
<v Speaker 10>capability simultaneously. And I think that guiding light has always

0:30:19.080 --> 0:30:22.160
<v Speaker 10>been an incredibly sort of important founding principle for us.

0:30:22.680 --> 0:30:24.960
<v Speaker 4>Caroline mentioned it, and you and I have talked about it,

0:30:25.080 --> 0:30:29.200
<v Speaker 4>that you're pursuing a focus on enterprise customers, you know,

0:30:29.600 --> 0:30:33.959
<v Speaker 4>SaaS cloud companies, but you still have this public benefit

0:30:34.080 --> 0:30:39.719
<v Speaker 4>corp center. Just explain how you manage both of those goals.

0:30:40.440 --> 0:30:42.720
<v Speaker 10>So something that I think is really interesting that we've

0:30:42.760 --> 0:30:45.320
<v Speaker 10>seen with you know, so many of the enterprise businesses

0:30:45.440 --> 0:30:48.160
<v Speaker 10>that are really you know, building on top of Claude,

0:30:48.600 --> 0:30:52.560
<v Speaker 10>is that this approach to building systems that are safe

0:30:52.600 --> 0:30:55.720
<v Speaker 10>and kind of built on trust and are secure and

0:30:55.800 --> 0:30:58.320
<v Speaker 10>are reliable is actually a huge draw for them.

0:30:58.520 --> 0:30:58.680
<v Speaker 1>Right.

0:30:59.040 --> 0:31:02.760
<v Speaker 10>So many of the Fortune five hundred are driven really

0:31:02.880 --> 0:31:05.920
<v Speaker 10>by trust with their with their consumers, right, And so

0:31:06.040 --> 0:31:09.080
<v Speaker 10>I think something we take incredibly seriously is this belief

0:31:09.160 --> 0:31:12.920
<v Speaker 10>that when we are helping to empower businesses to build

0:31:12.960 --> 0:31:14.719
<v Speaker 10>on Claude, that what we're putting in front of them

0:31:14.880 --> 0:31:17.000
<v Speaker 10>is safe. And I think that's perfectly in line with

0:31:17.080 --> 0:31:18.320
<v Speaker 10>our public benefit mission.

0:31:19.240 --> 0:31:22.360
<v Speaker 5>Are you ultimately improving people's lives?

0:31:22.440 --> 0:31:25.880
<v Speaker 3>Do you still feel, Daniella, you as a company.

0:31:26.080 --> 0:31:30.040
<v Speaker 10>As an industry More broadly, so, something we've been really

0:31:30.240 --> 0:31:32.760
<v Speaker 10>kind of excited and inspired to see are just the

0:31:32.880 --> 0:31:37.080
<v Speaker 10>incredible potential and kind of use cases that our customers

0:31:37.080 --> 0:31:40.920
<v Speaker 10>are using while interacting with Claude. So this ranges from

0:31:41.040 --> 0:31:44.520
<v Speaker 10>things like you know, financial services businesses like you know,

0:31:44.600 --> 0:31:49.920
<v Speaker 10>Bridgewater and SAP sk Telecom really just transforming how they

0:31:50.000 --> 0:31:53.520
<v Speaker 10>work and how they interact with their end customers. But

0:31:53.640 --> 0:31:56.160
<v Speaker 10>you know, most recently, I think I've been incredibly excited

0:31:56.200 --> 0:32:00.360
<v Speaker 10>to see so many you know, education, health care and

0:32:00.400 --> 0:32:04.520
<v Speaker 10>nonprofit businesses as well, really start to take on kind

0:32:04.560 --> 0:32:07.520
<v Speaker 10>of the mantle of generative AI. We've been very excited

0:32:07.600 --> 0:32:09.840
<v Speaker 10>that that groups like you know, the Dana Farber Cancer

0:32:09.920 --> 0:32:11.200
<v Speaker 10>Institute are building on.

0:32:11.360 --> 0:32:15.800
<v Speaker 3>Clouds, so too is a Saana Airtable, Bridgewater some really

0:32:15.920 --> 0:32:19.360
<v Speaker 3>notable names in the finance space and in productivity space.

0:32:19.760 --> 0:32:21.680
<v Speaker 5>And I'm interested that at the.

0:32:21.720 --> 0:32:24.600
<v Speaker 3>Time that clearly from an enterprise perspective, everyone's rushing to

0:32:24.600 --> 0:32:26.840
<v Speaker 3>get in, and clearly productivity can go up and to

0:32:26.960 --> 0:32:28.240
<v Speaker 3>the right to significant amount.

0:32:28.400 --> 0:32:29.680
<v Speaker 5>But we do question perhaps some.

0:32:29.720 --> 0:32:34.000
<v Speaker 3>Worries around jobs, but we also question ultimately open AI

0:32:34.160 --> 0:32:36.440
<v Speaker 3>versus closed AI, and we go back a little.

0:32:36.160 --> 0:32:38.240
<v Speaker 5>Bit to the drama that's some folding between Elon Musk

0:32:38.280 --> 0:32:39.440
<v Speaker 5>and open AI. And I know you must be.

0:32:39.480 --> 0:32:42.400
<v Speaker 3>Relatively exhausted by that, but I look at what's beenod Coastal,

0:32:42.480 --> 0:32:44.600
<v Speaker 3>for example, has been tweeting about.

0:32:44.680 --> 0:32:47.440
<v Speaker 5>Saying that ultimately Sam Greg and the team over an

0:32:47.480 --> 0:32:48.360
<v Speaker 5>open AI have been.

0:32:48.360 --> 0:32:51.800
<v Speaker 3>Pushing out faster, better products and they need to be

0:32:51.960 --> 0:32:56.240
<v Speaker 3>in a more closed space. Open AI and ultimately artificial

0:32:56.280 --> 0:32:59.760
<v Speaker 3>intelligence innovation shouldn't be done permanently in some sort of

0:32:59.880 --> 0:33:03.160
<v Speaker 3>open tesque way and means of doing it.

0:33:03.360 --> 0:33:06.600
<v Speaker 5>Do you agree? What is your ethos on open versus closed, Daniana?

0:33:08.000 --> 0:33:10.880
<v Speaker 10>I think really bottom line is that there's so much

0:33:10.960 --> 0:33:13.959
<v Speaker 10>space in the kind of generative AI industry right there

0:33:14.000 --> 0:33:16.760
<v Speaker 10>are many different types of models that are being rolled

0:33:16.760 --> 0:33:19.920
<v Speaker 10>out across really a variety of different services. And my

0:33:20.040 --> 0:33:22.800
<v Speaker 10>sense is that as businesses, you know, really are becoming

0:33:22.880 --> 0:33:27.040
<v Speaker 10>quite sophisticated with how they integrate these generative AI technologies,

0:33:27.320 --> 0:33:30.200
<v Speaker 10>I expect that what we'll see is really a kind

0:33:30.240 --> 0:33:33.960
<v Speaker 10>of multimodel approach that many businesses might choose to rely

0:33:34.240 --> 0:33:37.280
<v Speaker 10>on one type of model for certain use cases and

0:33:37.440 --> 0:33:40.240
<v Speaker 10>other types of models for others. So I feel there's

0:33:40.280 --> 0:33:42.600
<v Speaker 10>really quite a lot of sort of space and territory

0:33:42.680 --> 0:33:45.000
<v Speaker 10>for all of these different players to kind of operate in.

0:33:45.000 --> 0:33:48.360
<v Speaker 3>The space, and your space and your territory being guarded

0:33:48.400 --> 0:33:50.440
<v Speaker 3>by the fact you've got these three new models open today.

0:33:50.520 --> 0:33:52.200
<v Speaker 3>We thank you so much for talking us through some

0:33:52.280 --> 0:33:55.120
<v Speaker 3>of the innovations that you're bringing in Anthropic. Taniana m Oday,

0:33:55.440 --> 0:33:58.680
<v Speaker 3>just president and co founder of Anthropic. At what we've

0:33:58.680 --> 0:33:59.160
<v Speaker 3>got coming.

0:33:59.120 --> 0:34:02.400
<v Speaker 4>Up, we'll get back to bitcoin and bitcoin's rally up next,

0:34:02.480 --> 0:34:05.880
<v Speaker 4>and whether concerns of a plunge following a surge might

0:34:05.960 --> 0:34:08.200
<v Speaker 4>be justified still marks. Alice Clean joins us on the

0:34:08.239 --> 0:34:23.120
<v Speaker 4>program We'll be right back Suspoonberg technology as time for

0:34:23.200 --> 0:34:26.760
<v Speaker 4>talking tech first up. Cyber attackers backed by North Korea

0:34:26.880 --> 0:34:30.920
<v Speaker 4>are said to have infiltrated to South Korean semiconductor equipment

0:34:31.040 --> 0:34:34.319
<v Speaker 4>firms late last year. That's according to South Korea's sole

0:34:34.440 --> 0:34:38.319
<v Speaker 4>spy agency. The agency is advising companies to take precautions

0:34:38.600 --> 0:34:42.120
<v Speaker 4>after detecting attacks in December and February in which hackers

0:34:42.200 --> 0:34:46.880
<v Speaker 4>sole products and manufacturing blueprints and shares of Sea are

0:34:46.880 --> 0:34:49.719
<v Speaker 4>giving up gains after the company reported a smaller than

0:34:49.800 --> 0:34:54.120
<v Speaker 4>expected drop in earning, Southeast Asia's largest internet firm, rallied

0:34:54.120 --> 0:34:56.560
<v Speaker 4>as much as nineteen percent in pre market trading. The

0:34:56.640 --> 0:34:59.840
<v Speaker 4>company says it sees improving prospects for its e commerce

0:35:00.200 --> 0:35:04.120
<v Speaker 4>gaming business, alleviating some concerns have slowed down in its

0:35:04.200 --> 0:35:09.360
<v Speaker 4>online retail arm Shoppy plus SpaceX and NASA saw a

0:35:09.440 --> 0:35:13.239
<v Speaker 4>successful launch of Russian and American astronauts headed to the

0:35:13.280 --> 0:35:16.560
<v Speaker 4>International Space Station, where the four person crews expected to

0:35:16.600 --> 0:35:19.759
<v Speaker 4>spend six months. The mission DUBS Crew eight marks the

0:35:19.880 --> 0:35:23.880
<v Speaker 4>thirteenth assignment four SpaceX carrying a live crew and the

0:35:24.000 --> 0:35:27.520
<v Speaker 4>eighth operation for NASA with a commercial crew to the

0:35:27.640 --> 0:35:28.880
<v Speaker 4>ISS Caroline.

0:35:29.400 --> 0:35:32.080
<v Speaker 3>All other things maybe going to the moon in certain spaces.

0:35:32.160 --> 0:35:34.399
<v Speaker 3>Let's talk about it with the VC spotlight moment. Get

0:35:34.440 --> 0:35:36.600
<v Speaker 3>back to bitcoin and discuss the run that we've seen

0:35:36.640 --> 0:35:40.400
<v Speaker 3>across crypto more broadly. Can we, of course be questioning

0:35:40.560 --> 0:35:42.279
<v Speaker 3>some of the parabolic run that we've had, Is it

0:35:42.440 --> 0:35:45.080
<v Speaker 3>valid and is their leverage behind it too? Please to

0:35:45.160 --> 0:35:48.080
<v Speaker 3>welcome a long term player in the space still Mark

0:35:48.120 --> 0:35:51.040
<v Speaker 3>founder and managing partner Alise Colleen, who really has been

0:35:51.080 --> 0:35:53.160
<v Speaker 3>thinking about the ways in which to scale and to

0:35:53.239 --> 0:35:55.520
<v Speaker 3>make more efficient the space of bitcoin and.

0:35:55.719 --> 0:35:56.640
<v Speaker 5>Layer twos within that.

0:35:56.840 --> 0:35:59.520
<v Speaker 3>But at least more broadly, when you're looking at the

0:35:59.600 --> 0:36:01.640
<v Speaker 3>run up price point, you must be exhausted by the

0:36:01.680 --> 0:36:03.600
<v Speaker 3>fact that everyone looks at this basically as sort of

0:36:03.960 --> 0:36:07.640
<v Speaker 3>an asset to be well betting on and exchanging hands.

0:36:07.760 --> 0:36:09.719
<v Speaker 5>But does it make sense to you? Are you worried

0:36:09.719 --> 0:36:11.239
<v Speaker 5>about any leverage, any volatility?

0:36:13.880 --> 0:36:17.840
<v Speaker 2>So the price appreciation of course is going to draw attention.

0:36:18.400 --> 0:36:22.360
<v Speaker 2>What we're seeing now is an expansion of Bitcoin's user

0:36:22.480 --> 0:36:25.840
<v Speaker 2>base through the introduction of a spot ETF and a

0:36:26.040 --> 0:36:30.920
<v Speaker 2>directly regulated way for new entrants to hold bitcoin assets.

0:36:31.440 --> 0:36:34.840
<v Speaker 2>I believe that this gives first time access to mantay,

0:36:35.520 --> 0:36:40.040
<v Speaker 2>especially to the Boomer generation. It's ahead of the ETF launching,

0:36:40.360 --> 0:36:43.280
<v Speaker 2>we could have projected between eighty million and one hundred

0:36:43.280 --> 0:36:45.080
<v Speaker 2>and thirty million bitcoin holders.

0:36:45.520 --> 0:36:45.960
<v Speaker 7>We have to.

0:36:45.960 --> 0:36:48.719
<v Speaker 2>Acknowledge that most of those were Gen Z or millennials,

0:36:49.200 --> 0:36:49.960
<v Speaker 2>and so with the.

0:36:50.120 --> 0:36:52.400
<v Speaker 5>Spot ETF, we see a new.

0:36:53.000 --> 0:36:57.640
<v Speaker 2>Population onboarding to bitcoin, and Bitcoin's price has always been

0:36:57.719 --> 0:37:00.560
<v Speaker 2>driven by adoption and expansion use case.

0:37:02.360 --> 0:37:07.600
<v Speaker 4>I really appreciate focusing on the structural, long term elements

0:37:07.640 --> 0:37:08.880
<v Speaker 4>that are happening here, but I want to just go

0:37:08.920 --> 0:37:11.040
<v Speaker 4>a little short term real quick. I always find it

0:37:11.160 --> 0:37:14.640
<v Speaker 4>so interesting about the twenty four to seven trading patterns

0:37:14.840 --> 0:37:17.720
<v Speaker 4>of crypto right and when we left the show Friday,

0:37:17.840 --> 0:37:20.319
<v Speaker 4>we were talking about similar themes. But there's a lot

0:37:20.360 --> 0:37:22.719
<v Speaker 4>of liquidity, a lot of trading that goes on over

0:37:23.000 --> 0:37:26.200
<v Speaker 4>the weekend, some of that in the Asia session. I

0:37:26.360 --> 0:37:28.200
<v Speaker 4>just wonder if you look at that and see any

0:37:28.320 --> 0:37:32.799
<v Speaker 4>concentration of activity by geography, if it's happening in North

0:37:32.840 --> 0:37:35.160
<v Speaker 4>America or it's happening in different parts.

0:37:34.960 --> 0:37:40.000
<v Speaker 2>Of the world. So bitcoin is of course a twenty

0:37:40.080 --> 0:37:43.480
<v Speaker 2>four to seven market. The introduction of the ETF has

0:37:43.520 --> 0:37:47.040
<v Speaker 2>allowed a bit of a break to the attention that's

0:37:47.200 --> 0:37:51.279
<v Speaker 2>needed to be paid to weekends and after hours, and

0:37:51.360 --> 0:37:55.600
<v Speaker 2>that much of the movement in bitcoin has been generated

0:37:55.719 --> 0:38:01.000
<v Speaker 2>by excitement and flows in the ETF products. Now all

0:38:01.160 --> 0:38:03.680
<v Speaker 2>that set, of course, our attention is more on the

0:38:03.840 --> 0:38:08.160
<v Speaker 2>long term bitcoin trends, including price trends, and well, we

0:38:08.520 --> 0:38:12.759
<v Speaker 2>could expect to see some periods of consolidation along the way.

0:38:12.840 --> 0:38:15.839
<v Speaker 2>I expect we end the year significantly higher than we're

0:38:15.840 --> 0:38:16.200
<v Speaker 2>at now.

0:38:17.000 --> 0:38:20.759
<v Speaker 3>Going back to the underlying innovation that therefore now gets

0:38:20.840 --> 0:38:23.360
<v Speaker 3>us from not only seeing bitcoin as an asset class

0:38:23.400 --> 0:38:27.520
<v Speaker 3>that has far more in demand and across different stereotypes

0:38:27.560 --> 0:38:30.520
<v Speaker 3>of people, but I'm also interested in what therefore is

0:38:30.640 --> 0:38:33.239
<v Speaker 3>made of the asset itself. Much of the issue is

0:38:33.480 --> 0:38:35.719
<v Speaker 3>ultimately it's the gold because well, we're not going to

0:38:35.800 --> 0:38:38.400
<v Speaker 3>do much more in terms of actual use cases and

0:38:38.480 --> 0:38:42.520
<v Speaker 3>smart contracts because it was expensive and difficult to scale.

0:38:42.600 --> 0:38:45.360
<v Speaker 3>But you're solving that problem with some of the companies

0:38:45.400 --> 0:38:47.600
<v Speaker 3>you invest in. What are the ETF, for example, brought

0:38:47.640 --> 0:38:49.240
<v Speaker 3>to bear in terms of innovation.

0:38:51.040 --> 0:38:53.960
<v Speaker 2>So this is really interesting. We work with founders that

0:38:54.040 --> 0:38:58.960
<v Speaker 2>are attempting to solve the problem of both pathways for

0:38:59.080 --> 0:39:01.880
<v Speaker 2>adoption as well expansion of Bitcoin use cases.

0:39:02.600 --> 0:39:04.759
<v Speaker 5>Much of that is happening with Bitcoin the.

0:39:04.760 --> 0:39:07.840
<v Speaker 2>Aset on on Bitcoin's core protocol, but we're also seeing

0:39:08.080 --> 0:39:12.520
<v Speaker 2>a flourishment of development and developer activity even in Bitcoin

0:39:12.600 --> 0:39:16.680
<v Speaker 2>layer twos. It's notable that the twenty four month growth

0:39:16.800 --> 0:39:21.279
<v Speaker 2>of Lightning Network, for example, which is Bitcoin's primary payment technology,

0:39:22.400 --> 0:39:26.239
<v Speaker 2>was over twelve hundred percent between the period of twenty

0:39:26.360 --> 0:39:30.640
<v Speaker 2>twenty one and twenty twenty three, giving us a sort

0:39:30.680 --> 0:39:34.799
<v Speaker 2>of base of monthly transaction volume of over seven million transactions.

0:39:35.520 --> 0:39:39.960
<v Speaker 2>Now there's tail ones to adoption for Lightning Network by

0:39:40.000 --> 0:39:44.240
<v Speaker 2>the introduction of new Lightning Network related protocols by Stillmark

0:39:44.320 --> 0:39:47.759
<v Speaker 2>portfolio company Lightning Labs, And by that I mean that

0:39:47.840 --> 0:39:51.560
<v Speaker 2>we expect to see the migration of stable coins from

0:39:51.800 --> 0:39:55.800
<v Speaker 2>an alt coin environment a theorem or tron to Bitcoin

0:39:56.040 --> 0:40:00.640
<v Speaker 2>via Lightning protocol techrid assets, which will allow other digital

0:40:00.680 --> 0:40:04.040
<v Speaker 2>assets to trade on Lightning Network in a more efficient

0:40:04.160 --> 0:40:08.200
<v Speaker 2>and economical way. And on top of that, Lightning Network

0:40:08.360 --> 0:40:11.560
<v Speaker 2>offers the benefit of being more scalable in terms of

0:40:11.760 --> 0:40:18.640
<v Speaker 2>transactions transaction throughput, because you can expand transaction volume without

0:40:18.800 --> 0:40:23.120
<v Speaker 2>needing to commit those transactions back to a base blockchain and.

0:40:23.360 --> 0:40:24.480
<v Speaker 5>Take up block space.

0:40:25.000 --> 0:40:29.880
<v Speaker 2>We're also seeing the introduction of protocols that enable bitcoin

0:40:30.760 --> 0:40:33.479
<v Speaker 2>to be used as a suitable payment for the AI

0:40:33.680 --> 0:40:37.680
<v Speaker 2>space and for payments for API calls. And what that

0:40:37.920 --> 0:40:40.480
<v Speaker 2>means is that we can start to really use bitcoin

0:40:40.560 --> 0:40:43.560
<v Speaker 2>to unlock some of the native value of the Web

0:40:43.920 --> 0:40:44.840
<v Speaker 2>and Internet broadly.

0:40:45.960 --> 0:40:48.440
<v Speaker 4>All right, still not founder managing partner at least, Colleen

0:40:48.480 --> 0:40:52.840
<v Speaker 4>A is bitcoin trade sixty six, five hundred US dollars persoken.

0:41:00.000 --> 0:41:03.080
<v Speaker 3>Nooyees over an Amazon warehouse in Seattle recently got a

0:41:03.120 --> 0:41:05.279
<v Speaker 3>glimpse of a future of work, and it's.

0:41:05.280 --> 0:41:05.839
<v Speaker 5>Very sci fi.

0:41:06.239 --> 0:41:08.759
<v Speaker 3>A five foot nine robot that looks like a human,

0:41:08.840 --> 0:41:12.680
<v Speaker 3>walks like a bird and has glowing white eyes. Let's

0:41:12.719 --> 0:41:15.800
<v Speaker 3>bring in Bloomberg's Matt Day, who got to meet digit

0:41:16.080 --> 0:41:18.279
<v Speaker 3>or the digits And at the moment they're doing pretty

0:41:18.360 --> 0:41:22.200
<v Speaker 3>menial tasks ferrying boxes empty ones backwards and forwards. But

0:41:22.640 --> 0:41:24.360
<v Speaker 3>I mean, are we at the cusp of some breakthrough?

0:41:24.400 --> 0:41:26.759
<v Speaker 3>What got us here? Why does it feel so sci fi?

0:41:27.680 --> 0:41:29.719
<v Speaker 11>Yeah? It really feels like we are I think a

0:41:29.760 --> 0:41:32.080
<v Speaker 11>lot of it is just sort of the consumer electronics revolution.

0:41:32.160 --> 0:41:35.440
<v Speaker 11>Broadly speaking, motors are cheaper and little actuators that make

0:41:35.520 --> 0:41:37.720
<v Speaker 11>these guys move and able to bend and flex. Battery

0:41:37.760 --> 0:41:39.840
<v Speaker 11>technology has gotten a lot better, and then recently you

0:41:40.040 --> 0:41:42.840
<v Speaker 11>layer AI on the top of it. Right, these robots

0:41:42.840 --> 0:41:43.920
<v Speaker 11>don't really make a lot of sense if you have

0:41:43.920 --> 0:41:45.680
<v Speaker 11>to have somebody piloting the controls. But if you can

0:41:45.719 --> 0:41:47.480
<v Speaker 11>do it sort of systematically and have them kind of

0:41:47.560 --> 0:41:49.560
<v Speaker 11>reason their way through the world, then maybe this all

0:41:49.600 --> 0:41:50.200
<v Speaker 11>starts to work.

0:41:51.239 --> 0:41:54.000
<v Speaker 4>There's a lot happening in robotics right. Think about Figure AI,

0:41:54.200 --> 0:41:57.279
<v Speaker 4>think about what Tesla is doing with optimists. But it's

0:41:57.400 --> 0:42:00.319
<v Speaker 4>not sort of real well deployment. What is Amazon's plan

0:42:00.520 --> 0:42:02.080
<v Speaker 4>to make this commonplace?

0:42:03.320 --> 0:42:05.320
<v Speaker 11>So Amazon hasn't told us a whole lot about their roommap,

0:42:05.360 --> 0:42:07.400
<v Speaker 11>but what we know now is that they are testing

0:42:07.480 --> 0:42:10.520
<v Speaker 11>these robots, you know, like you said, to move tots

0:42:10.520 --> 0:42:12.640
<v Speaker 11>in their warehouses. There are a lot of spots on

0:42:12.680 --> 0:42:15.840
<v Speaker 11>Amazon's facilities, which are already highly automated, that still require

0:42:16.000 --> 0:42:18.520
<v Speaker 11>you know, flesh and blood, somebody picking up boxes, moving

0:42:18.560 --> 0:42:21.160
<v Speaker 11>boxes to a conveyor belt from a palette. That work

0:42:21.239 --> 0:42:22.920
<v Speaker 11>is pretty dangerous. A lot of people don't want to

0:42:22.920 --> 0:42:25.920
<v Speaker 11>do that work anyway because of relatively relatively low pay

0:42:26.000 --> 0:42:28.800
<v Speaker 11>and and kind of hard pace of work issues, so

0:42:29.000 --> 0:42:31.520
<v Speaker 11>they're pitching or at least a Jillie Robotics is that

0:42:31.600 --> 0:42:33.920
<v Speaker 11>they might have a solution to this in the form

0:42:33.960 --> 0:42:35.800
<v Speaker 11>of digit their little white eyed robot.

0:42:36.719 --> 0:42:39.240
<v Speaker 5>Go read your piece in BusinessWeek, Go and see the pictures.

0:42:39.239 --> 0:42:41.719
<v Speaker 3>It looks like they're doing push ups in one particular piece,

0:42:41.760 --> 0:42:43.560
<v Speaker 3>but apparently they're hibernating that daily.

0:42:43.600 --> 0:42:45.840
<v Speaker 5>Thank you that does it for this edition in Blueboo Technology.

0:42:46.920 --> 0:42:49.239
<v Speaker 4>Check out the pod Dear view it, dear audience member,

0:42:49.280 --> 0:42:52.040
<v Speaker 4>wherever you get your podcasts. From San Francisco in New

0:42:52.120 --> 0:42:52.520
<v Speaker 4>York City.

0:42:52.560 --> 0:42:53.280
<v Speaker 8>This is Bloomberg