WEBVTT - The DOJ Goes After Google Chrome

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news.

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<v Speaker 2>From Mahard where Innovation, money and power Collie in Silicon Valley, NBN.

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<v Speaker 3>This is Bloomberg Technology with Caroline Hyde and Ed Ludlove.

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<v Speaker 4>Live from New York. This is Bloomberg Technology. Coming up.

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<v Speaker 5>Will Google be forced to sell off its Chrome browser?

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<v Speaker 5>We discussed the latest in the historic Alphabet anti trust

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<v Speaker 5>fight here in the United States, plus roadblocks enhances parental

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<v Speaker 5>controls following criticism over child protection on its platform. We

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<v Speaker 5>sit down with the company's chief safety officer and SpaceX

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<v Speaker 5>ready for another starship launch with President elect Donald Trump

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<v Speaker 5>set to attend.

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<v Speaker 4>At first.

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<v Speaker 5>We check in on these markets despite the geopolitical headwinds Russia, Ukraine.

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<v Speaker 5>We push higher just about on tenth of a percent,

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<v Speaker 5>let's call it on the Nazak, one hundred higher still

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<v Speaker 5>on the Nasdaq. That's two straight days of gains when

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<v Speaker 5>you're looking at big tech, and that more broadly is

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<v Speaker 5>as we shake off what have been a big points

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<v Speaker 5>drag on the day, which was Alphabet. Let's just go

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<v Speaker 5>into the intricacies of what's happening with Google at the

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<v Speaker 5>moment in terms of its price point, because we've started

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<v Speaker 5>off the day trading lower, anxiety around the building, anti

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<v Speaker 5>trust crescendo around this particular company, and then maybe we

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<v Speaker 5>push into the green up four tenths of percent. Is

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<v Speaker 5>there a slight relief rally that it's not being forced

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<v Speaker 5>to sell off Android?

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<v Speaker 4>We get into it now, were Bloomberg's Michael Shepherd in Washington,

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<v Speaker 4>because it's an interesting stock market reaction here.

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<v Speaker 5>Michael Many would say, Look, the clouds of anti trust

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<v Speaker 5>concerns still sit on the valuation of Google, but get

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<v Speaker 5>into what we are learning in terms of the DOJ

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<v Speaker 5>looking to treat an anti trust issue from their perspective.

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<v Speaker 2>Well, first credit to our colleagues Leonilan and Josh Cisco

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<v Speaker 2>for breaking the news about what the Justice Department and

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<v Speaker 2>state anti trust regulators are thinking about asking a judge

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<v Speaker 2>in the way of remedies in this historic case. This

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<v Speaker 2>dates to the August ruling in which judge here in

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<v Speaker 2>Washington found that Google had illegally monopolized the search the

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<v Speaker 2>market for search globally, and now they are looking for

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<v Speaker 2>how to make this right for consumers and for website

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<v Speaker 2>operators around around the world. The one step, of course,

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<v Speaker 2>being considered is forcing them to sell off Chrome the browser,

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<v Speaker 2>it's one of the world's most widely used browsers. But

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<v Speaker 2>other measures being considered also include requiring the company to

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<v Speaker 2>license its search results in data, and then also giving

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<v Speaker 2>websites the option of opting out of having their content

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<v Speaker 2>used to help Google build its artificial intelligence platforms.

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<v Speaker 5>Once again, Google Alphabet, the power company of Google, speaks

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<v Speaker 5>out saying thesis of radical steps being taken by the

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<v Speaker 5>US government and sort of waiting down, putting their thumb

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<v Speaker 5>on the scale is how Google has been articulating it.

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<v Speaker 5>But more broadly, the intricacies around selling off data, about

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<v Speaker 5>sharing data is a tough one.

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<v Speaker 4>Many in the market.

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<v Speaker 5>Say, look, a, this is going to take years to enforce.

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<v Speaker 5>You're going to see an appeals process, but more broadly,

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<v Speaker 5>you're also going to potentially see other remedies come into

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<v Speaker 5>like that. Google could action first, perhaps April and August.

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<v Speaker 5>What do we think Alphabet's own reaction will be.

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<v Speaker 2>This will play out of for a long time, And

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<v Speaker 2>I'm glad you've brought that up, Caroline. In terms of

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<v Speaker 2>the clock here, the judges said a two week hearing

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<v Speaker 2>in April to actually walk through some of the potential

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<v Speaker 2>remedies that the DOJ and anti trust regulators at the

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<v Speaker 2>state level are offering, and that will give the time

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<v Speaker 2>that we'll give time to the company to think about, Okay,

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<v Speaker 2>what could we offer perhaps as a settlement, what else

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<v Speaker 2>can we do? What is is maybe a middle ground

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<v Speaker 2>that could satisfy some of the concerns being or raised

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<v Speaker 2>by government authorities. Likewise, the judge himself is not expected

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<v Speaker 2>to rule until August twenty twenty five, that is almost

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<v Speaker 2>a year from his original ruling, and then after that

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<v Speaker 2>we'll go through an appeals process, and given the stakes

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<v Speaker 2>for Alphabet in this case, they're likely to take this

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<v Speaker 2>appeal all the way to the US Supreme Court eventually,

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<v Speaker 2>because this.

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<v Speaker 5>Would have a major business impact the way in which

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<v Speaker 5>they can see who I am when I use Chrome,

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<v Speaker 5>which has I think about sixty percent of the market

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<v Speaker 5>from a browser perspective, and then go across to use

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<v Speaker 5>the search function within it that's about ninety percent of

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<v Speaker 5>the market and all the data they're in and they

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<v Speaker 5>can target me better with ads. This will be a

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<v Speaker 5>big business model change, and ultimately many out there are wondering.

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<v Speaker 4>Who on earth would even buy Chrome if it was forced?

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<v Speaker 2>Well, it's a great question. Again, and who would buy

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<v Speaker 2>Chrome because the price for it would preclude many from

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<v Speaker 2>even to pick it up, and a few buyers out

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<v Speaker 2>there with the resources to pull it off, perhaps Amazon

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<v Speaker 2>dot Com Inc. Or even Open Ai. An attempt by

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<v Speaker 2>them to purchase this could also raise separate antitrust questions

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<v Speaker 2>that the government may be eager to avoid. Likewise, as

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<v Speaker 2>you pointed out, this is central to Alphabet's business. They

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<v Speaker 2>use that user data, as you pointed out, to target

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<v Speaker 2>advertising and promotions better, and they're also using it, as

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<v Speaker 2>I mentioned before, to try to craft a better version

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<v Speaker 2>of this Gemini AI platform that they're developing, and we

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<v Speaker 2>saw it in their most recent results. They really pointed

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<v Speaker 2>to search as something that is driving this bet on AI,

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<v Speaker 2>and they really would like to keep this going if

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<v Speaker 2>they can.

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<v Speaker 5>AI overviews all anyone sees now when they're typing in

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<v Speaker 5>for search.

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<v Speaker 4>Michael Shepherd, we.

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<v Speaker 5>So appreciate the breakdown from Washington for broader tech market

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<v Speaker 5>prospective and indeed, well what the legal realities are here.

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<v Speaker 5>Sarah Lamb is a senior fellow at the Tech Institute,

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<v Speaker 5>and Sarah just put your thumb on the scales here.

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<v Speaker 5>As Google is pushing back on the government for so doing.

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<v Speaker 5>Do you think this has any chance of getting through

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<v Speaker 5>that something is seismic?

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<v Speaker 4>Is Chrome being sold off would happen?

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<v Speaker 3>I think personally it's unlikely. It was unchallenged conduct in

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<v Speaker 3>the decision. So if you go back and read the

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<v Speaker 3>two hundred and eighty six page decision from August fifth.

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<v Speaker 4>There is good for us because we know how to talk.

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<v Speaker 3>Yeah, there's discussion about the contracts and the pre loading

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<v Speaker 3>of the Google Suite, and a little bit on the

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<v Speaker 3>Chrome browser. But unchallenged conduct was the search bar in

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<v Speaker 3>the Chrome window, and so that wasn't challenged at trial,

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<v Speaker 3>and so you know, there would have to be fact

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<v Speaker 3>finding and a discussion of the browser market. In the

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<v Speaker 3>April hearing, like the prior speaker said, August twenty two,

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<v Speaker 3>twenty five, is when a decision will come out on remedies.

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<v Speaker 3>And also of note, Google has an opportunity to submit

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<v Speaker 3>their proposed remedies December twentieth, So it really is an

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<v Speaker 3>ongoing process. The last two big cases, Microsoft and AT

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<v Speaker 3>and T took nearly a decade to resolve.

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<v Speaker 5>And Microsoft appealed successfully at and T less. So, Sarah,

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<v Speaker 5>do you therefore think some other changes could be made

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<v Speaker 5>to fight the idea that Google is monopoly or monopolistic

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<v Speaker 5>in search. What could Google enact here itself.

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<v Speaker 3>Well, I think at issue are the contracts, so the

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<v Speaker 3>way they contract with Samsung or the other OEM providers,

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<v Speaker 3>that could change. But even so, there's so much dynamism

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<v Speaker 3>in the market. Samsung uploads its own s browser and

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<v Speaker 3>I read that in the decision. Other Android platforms they

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<v Speaker 3>have their own browsers, and so I think right now

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<v Speaker 3>the market is so dynamic too with AI search windows

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<v Speaker 3>that you know, the way Google responds will have to

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<v Speaker 3>reflect what's happening in the AI market.

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<v Speaker 5>Let's just talk about AI and the data that maybe

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<v Speaker 5>they'd be forced to license in some way. Would that

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<v Speaker 5>be positive or negative for the rest of the market, not.

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<v Speaker 3>Just Google, right, I think operationally that would be very

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<v Speaker 3>difficult to work through, so that would also be a

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<v Speaker 3>year's long process. I don't know how great lawyers are

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<v Speaker 3>at product design. So to the extent that I mean,

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<v Speaker 3>there is some talk that there might have frand f

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<v Speaker 3>r A and D licensing terms in the proposed remedies,

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<v Speaker 3>and that is something that is familiar in the intellectual

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<v Speaker 3>property and standards development world. But to the level of

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<v Speaker 3>data sharing and you know, opening that pipeline of AI

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<v Speaker 3>data that would be a very new type of remedy

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<v Speaker 3>that we.

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<v Speaker 5>Can see from the share price that the market isn't

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<v Speaker 5>freaking out about this, but there does seem to be

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<v Speaker 5>a cloud over Google for the next few years, maybe

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<v Speaker 5>even decade. As you were saying, Sarah, what about an

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<v Speaker 5>administration change in twenty twenty five, does that bear any

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<v Speaker 5>thought for you?

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<v Speaker 1>Yes.

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<v Speaker 3>What's interesting though, is the first Trump administration brought the suit,

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<v Speaker 3>so you have that, although Assistant ag make and del

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<v Speaker 3>Rahim recused himself, so this case has a long history.

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<v Speaker 3>So far, you hear kind of murmurs about the next

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<v Speaker 3>administration wanting to continue activity.

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<v Speaker 4>But at the.

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<v Speaker 3>Same time, you know, they seem to be more pro

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<v Speaker 3>innovation and technology. So we'll see what whoever is Attorney

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<v Speaker 3>General and then assistant Attorney General, at least inside the Beltway.

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<v Speaker 3>We're all kind of guessing who it could be, but

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<v Speaker 3>who knows.

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<v Speaker 5>Yeah, Sarah Alam, Senior Fellow at Tech Institute. We appreciate

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<v Speaker 5>the time and analysis. Meanwhile, well, talking of regulatory landscape

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<v Speaker 5>in the UK, Google's partnership with Aifomanthropic has actually avoided

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<v Speaker 5>further scrutiny after the UK Antitrust watchdog concluded it doesn't

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<v Speaker 5>qualify for a full blown investigation under merger rules. The

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<v Speaker 5>CMA found that Google has not gained quote material influence

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<v Speaker 5>of Anthropic as a result of the deal, which included

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<v Speaker 5>a two billion dollar investment and a cloud agreement coming

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<v Speaker 5>up scaling safe AI governance. We're going to be joined

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<v Speaker 5>by Cudo AI CEO sa Rena Singh on a new

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<v Speaker 5>partnership with Microsoft. This simply meg technology. Microsoft wants to

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<v Speaker 5>make it easier to switch between large language models with

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<v Speaker 5>its new tool as You AI Foundry, which can help

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<v Speaker 5>cloud customers build and deploy AI applications, and the company

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<v Speaker 5>is giving away the software in the hopes of persuading

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<v Speaker 5>corporate customers to.

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<v Speaker 4>Buy more of its cloud services.

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<v Speaker 5>Greenberg's Diena Bas has more on what is being unveiled

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<v Speaker 5>at the annual event in Chicago Ignite Dina and really

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<v Speaker 5>the underlying process here is what what is the blocker here?

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<v Speaker 5>People don't feel they can flip from one great model

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<v Speaker 5>to another.

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<v Speaker 6>The whole product is meant to help make it easier

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<v Speaker 6>to get your models programmed up, running, deployed, but one

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<v Speaker 6>of the biggest blockers is that, you know, we're seeing

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<v Speaker 6>this constant drumbeat of new models coming out, whether it's

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<v Speaker 6>open AI updating their models, and you know, one of

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<v Speaker 6>them is good for better for reasoning, one of them

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<v Speaker 6>is better for answering questions that are more conversational. And

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<v Speaker 6>then there are you know, numerous competitors of Microsoft has,

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<v Speaker 6>you know, seventeen hundred and eighteen hundred different models that

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<v Speaker 6>are available through this Azure service. And so the issue

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<v Speaker 6>is how do you figure out which is the right

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<v Speaker 6>one and how do you switch if there's an update

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<v Speaker 6>or or you want to try something different. So this

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<v Speaker 6>foundry software basically has a bunch of different tools that

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<v Speaker 6>allow you to experiment with different models, see which one

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<v Speaker 6>works better, switch more easily track what's working and what isn't. So,

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<v Speaker 6>for example, if you want to put your own corporate

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<v Speaker 6>data into someone else's model in order to find tune it,

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<v Speaker 6>and you want to know is that data really making

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<v Speaker 6>a difference, Is it making the answers better or worse?

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<v Speaker 6>Things like that are really hard to test right now,

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<v Speaker 6>and it's imperative for Microsoft to make this easier in

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<v Speaker 6>order to convince people to spend more money on Azure

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<v Speaker 6>Services to build and deploy these AI applications.

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<v Speaker 5>And they want people to spend more money because they're

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<v Speaker 5>having to spend a lot of money invest certainly on

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<v Speaker 5>chips for example, they're building their own. They're also showing

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<v Speaker 5>off how in videos new aichips are going to be

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<v Speaker 5>working within the systems.

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<v Speaker 4>Can you talk us through their own offering?

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<v Speaker 6>Sure?

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<v Speaker 2>So.

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<v Speaker 6>A year ago at the same conference, they announced their

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<v Speaker 6>first AI chip, and today they've said that it is

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<v Speaker 6>now handling customer workloads in the Azure Open AI service.

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<v Speaker 6>They also announced two new chips today and one of

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<v Speaker 6>them is for security. It's going to go in Microsoft's

0:13:00.720 --> 0:13:03.520
<v Speaker 6>own data center servers to better secure them. And one

0:13:03.520 --> 0:13:06.200
<v Speaker 6>of them is a data process and unit, which is

0:13:06.280 --> 0:13:08.599
<v Speaker 6>basically a networking chip that takes a bunch of the

0:13:08.920 --> 0:13:11.800
<v Speaker 6>data crunching off of the other chips in order to

0:13:11.800 --> 0:13:15.160
<v Speaker 6>make things faster. So they are now increasingly getting into

0:13:15.200 --> 0:13:17.880
<v Speaker 6>a position that Amazon has been Amazon Web Services has

0:13:17.880 --> 0:13:20.080
<v Speaker 6>been in for a while of really coming up with

0:13:20.120 --> 0:13:22.520
<v Speaker 6>a bunch of their own chips for different types of

0:13:22.559 --> 0:13:26.440
<v Speaker 6>tasks and you know, things inside the data center in

0:13:26.600 --> 0:13:28.920
<v Speaker 6>order to make sure that Microsoft can do a much

0:13:28.920 --> 0:13:34.400
<v Speaker 6>better job of training AI, you know, inferencing, serving applications,

0:13:34.559 --> 0:13:36.440
<v Speaker 6>and a bunch of other things that you would use

0:13:36.480 --> 0:13:40.319
<v Speaker 6>Microsoft Cloud for. They obviously still work very closely within Vidia.

0:13:40.360 --> 0:13:42.520
<v Speaker 6>It's going to take a very long time, if ever,

0:13:42.720 --> 0:13:44.720
<v Speaker 6>for as you're to be able to replace in VideA

0:13:45.160 --> 0:13:47.880
<v Speaker 6>in its data center, even if they're putting some of

0:13:47.920 --> 0:13:51.560
<v Speaker 6>the AI traffic onto this Azumaya AI chip. But at

0:13:51.600 --> 0:13:53.760
<v Speaker 6>the same time they you know, I spoke to Ronnie

0:13:53.760 --> 0:13:56.640
<v Speaker 6>Borcard their kind of chip design and development, and you know,

0:13:56.720 --> 0:13:59.439
<v Speaker 6>she made the point that everything needs to be optimized

0:13:59.440 --> 0:14:01.560
<v Speaker 6>at every leg in order to get the best possible

0:14:01.600 --> 0:14:03.959
<v Speaker 6>performance because models are growing so rapidly.

0:14:04.880 --> 0:14:08.320
<v Speaker 5>Dana bas aholl things Microsoftware, thank you for more on

0:14:08.320 --> 0:14:11.439
<v Speaker 5>what's coming out of Microsoft and AI. We have CREDOAI

0:14:11.480 --> 0:14:14.079
<v Speaker 5>announcing they are partnering with the tech Gient to power

0:14:14.520 --> 0:14:18.560
<v Speaker 5>ENDAI governance for enterprise applications, which will help companies basically

0:14:18.559 --> 0:14:21.800
<v Speaker 5>safely adopt these cutting JI solutions, but also ensuring that

0:14:21.920 --> 0:14:25.200
<v Speaker 5>compliance is there with global regulations. Navrina sing joins our

0:14:25.240 --> 0:14:28.680
<v Speaker 5>CEO of CREDOAI and how much of a blocker is

0:14:29.200 --> 0:14:30.960
<v Speaker 5>the cloud around governance of AI?

0:14:32.920 --> 0:14:35.640
<v Speaker 1>Caroline, great to be here today, you know, one of

0:14:35.640 --> 0:14:37.200
<v Speaker 1>the things that we have found that there is a

0:14:37.240 --> 0:14:41.880
<v Speaker 1>massive gap between innovative AI solutions and actually practical business applications,

0:14:42.280 --> 0:14:45.400
<v Speaker 1>and the only way to accelerate that gap and bring

0:14:45.440 --> 0:14:48.720
<v Speaker 1>AI innovations to it is through AI governance. So this

0:14:48.800 --> 0:14:51.960
<v Speaker 1>is where we are very excited to announce our partnership

0:14:51.960 --> 0:14:56.640
<v Speaker 1>today with Microsoft, Azure AI Foundry and Preto AI, as

0:14:56.640 --> 0:14:58.960
<v Speaker 1>you know, is the leading provided a writer of.

0:14:58.920 --> 0:15:00.239
<v Speaker 4>AI governance solutions.

0:15:00.560 --> 0:15:02.760
<v Speaker 1>So I do want to just emphasize the three things

0:15:02.800 --> 0:15:05.480
<v Speaker 1>that this partnership is going to bring to life. One

0:15:05.600 --> 0:15:09.320
<v Speaker 1>is end to end governance of Azure AI apps, including

0:15:09.400 --> 0:15:13.120
<v Speaker 1>generative AI and multimodal systems as well as RAG based

0:15:13.240 --> 0:15:18.120
<v Speaker 1>use cases. Secondly, is this comprehensive unified control that Dina

0:15:18.160 --> 0:15:22.000
<v Speaker 1>was just talking about, which is needed for both THEI developers.

0:15:21.440 --> 0:15:22.640
<v Speaker 4>And governance leaders.

0:15:23.040 --> 0:15:26.520
<v Speaker 1>And lastly, the support for governing especially these cutting edge

0:15:26.520 --> 0:15:30.200
<v Speaker 1>systems that are really getting brought to life each and

0:15:30.240 --> 0:15:33.960
<v Speaker 1>every day like GPT four, GPT four H and smallify models.

0:15:34.200 --> 0:15:37.040
<v Speaker 1>So PREDAI is excited to partner with Microsoft to bring

0:15:37.240 --> 0:15:41.560
<v Speaker 1>all these capabilities at scale through an independent governance layer.

0:15:42.320 --> 0:15:44.800
<v Speaker 5>Just talk us through that governance layer, what is the

0:15:44.840 --> 0:15:49.080
<v Speaker 5>technology that enables you to be monitoring consistently to ensuring

0:15:49.280 --> 0:15:51.600
<v Speaker 5>that these models are doing what they say they're doing

0:15:51.640 --> 0:15:56.000
<v Speaker 5>and doing them well with fair use case and ultimately

0:15:56.080 --> 0:15:56.600
<v Speaker 5>no bias.

0:15:56.640 --> 0:15:57.200
<v Speaker 4>For example.

0:15:58.640 --> 0:16:01.920
<v Speaker 1>Yeah, absolutely so, Caroline. One of the core things that

0:16:01.960 --> 0:16:06.440
<v Speaker 1>we are finding with accelerating AI transformation and innovation is

0:16:06.760 --> 0:16:10.240
<v Speaker 1>something called this AI alignment. How do you actually ensure

0:16:10.280 --> 0:16:14.400
<v Speaker 1>that you're measuring the help of these AI systems against

0:16:14.440 --> 0:16:18.560
<v Speaker 1>the policies, the principles, the regulations, AI standards that you

0:16:18.640 --> 0:16:21.080
<v Speaker 1>as a company deeply care about. So this is where

0:16:21.120 --> 0:16:25.560
<v Speaker 1>CREATOAI is pioneering solution in policy intelligence makes that really

0:16:25.640 --> 0:16:29.120
<v Speaker 1>easy for your business experts as well as your AI

0:16:29.160 --> 0:16:32.200
<v Speaker 1>experts to align on what that good looks like.

0:16:32.600 --> 0:16:34.280
<v Speaker 4>And once you've aligned on what that good.

0:16:34.320 --> 0:16:38.040
<v Speaker 1>Like looks like, really measuring your AI systems, your models,

0:16:38.040 --> 0:16:42.760
<v Speaker 1>your data sets against those requirements and then lastly really

0:16:42.800 --> 0:16:46.960
<v Speaker 1>putting that out in a continuous monitoring, risk management, and

0:16:47.000 --> 0:16:49.640
<v Speaker 1>compliance engine so that you can make sure that you're

0:16:49.680 --> 0:16:53.200
<v Speaker 1>always in alignment alignment. And as you can imagine, Caroline,

0:16:53.200 --> 0:16:57.920
<v Speaker 1>this becomes really critical with the AI agents energenic systems

0:16:58.280 --> 0:17:01.040
<v Speaker 1>that have started to take a lot of excitement in

0:17:01.120 --> 0:17:02.280
<v Speaker 1>business organizations.

0:17:02.440 --> 0:17:05.760
<v Speaker 5>Microsoft talking a lot about AI agents today in Avrena like.

0:17:06.040 --> 0:17:09.080
<v Speaker 5>The real world impact is that we hear that people

0:17:09.080 --> 0:17:12.760
<v Speaker 5>are actually kind of plateauing in their own use employees

0:17:13.000 --> 0:17:17.200
<v Speaker 5>use of agents AI general to AI in the workplace

0:17:17.280 --> 0:17:19.639
<v Speaker 5>largely because they're worried that they could be deemed lazy

0:17:19.760 --> 0:17:22.240
<v Speaker 5>or they don't really understand what the guardrails are from

0:17:22.520 --> 0:17:25.080
<v Speaker 5>those that are above them. Is management on top of this,

0:17:27.720 --> 0:17:28.000
<v Speaker 5>you know.

0:17:28.000 --> 0:17:30.639
<v Speaker 1>The reason for the AI platu is because most of

0:17:30.680 --> 0:17:33.879
<v Speaker 1>the organizations, more than seventy percent of them, don't have

0:17:33.920 --> 0:17:36.960
<v Speaker 1>guardrails in place. And this is where predo AI like

0:17:37.040 --> 0:17:41.479
<v Speaker 1>solutions become really critical, because we are converting you know,

0:17:41.600 --> 0:17:45.119
<v Speaker 1>governance from a safety ness to really being a launch

0:17:45.160 --> 0:17:47.919
<v Speaker 1>pad from a four AI innovations. So what we are

0:17:47.960 --> 0:17:50.240
<v Speaker 1>finding in the companies that we work with, whether it

0:17:50.320 --> 0:17:55.200
<v Speaker 1>is MasterCard, Regender and you know Booz Allen and others,

0:17:55.720 --> 0:18:00.960
<v Speaker 1>is that when you have the clearly defined guardrails, employees

0:18:01.000 --> 0:18:03.320
<v Speaker 1>actually are much more excited to use these.

0:18:03.200 --> 0:18:04.400
<v Speaker 4>Technologies at scale.

0:18:04.520 --> 0:18:06.560
<v Speaker 1>So with governance, what we are going to see is

0:18:06.880 --> 0:18:10.360
<v Speaker 1>much more excited as well as rampant use of artificial

0:18:10.359 --> 0:18:13.040
<v Speaker 1>intelligence and AI transformation within organizations.

0:18:13.160 --> 0:18:16.520
<v Speaker 5>Do you think any of that regulatory outlook, governance, desires,

0:18:16.560 --> 0:18:18.720
<v Speaker 5>and desires is going to change out of the next

0:18:18.720 --> 0:18:19.919
<v Speaker 5>administration in the US.

0:18:22.640 --> 0:18:25.119
<v Speaker 1>You know, one of the exciting things is that AI

0:18:25.160 --> 0:18:29.119
<v Speaker 1>is actually central and core to the strategy irrespective of

0:18:29.160 --> 0:18:32.119
<v Speaker 1>the administration. We are ready to actually engage with the

0:18:32.160 --> 0:18:36.800
<v Speaker 1>new administration who is really looking at AI innovation much

0:18:36.800 --> 0:18:37.600
<v Speaker 1>more holistically.

0:18:37.960 --> 0:18:38.720
<v Speaker 4>So more to.

0:18:38.880 --> 0:18:41.040
<v Speaker 1>Come on that, but right now, I think there's a

0:18:41.119 --> 0:18:43.879
<v Speaker 1>lot of excitement on how do you actually use AI

0:18:43.920 --> 0:18:47.320
<v Speaker 1>for transforming government as well as AI for making sure

0:18:47.600 --> 0:18:51.840
<v Speaker 1>United States competitiveness in the world continues to stay at forefront.

0:18:52.359 --> 0:18:56.159
<v Speaker 5>A finnessing, creative AI CEO on new partnership with Microsoftware.

0:18:56.200 --> 0:18:57.479
<v Speaker 4>Appreciate you joining. Thank you.

0:19:05.080 --> 0:19:07.800
<v Speaker 5>Let's check in on the shares of super Micro jumping

0:19:07.920 --> 0:19:10.760
<v Speaker 5>after the company hired a new auditor filed a plan

0:19:10.880 --> 0:19:14.160
<v Speaker 5>to come into compliance with the NASDAT listing requirements. Bloomberg's

0:19:14.200 --> 0:19:16.480
<v Speaker 5>Brody Ford joins us small We're up thirty three percent,

0:19:16.520 --> 0:19:17.440
<v Speaker 5>but we are still.

0:19:17.240 --> 0:19:19.160
<v Speaker 4>Way off of our hives.

0:19:19.000 --> 0:19:21.639
<v Speaker 5>From when the market cap was spiraling higher because of

0:19:21.680 --> 0:19:25.680
<v Speaker 5>general to AI. Brody talk US through Hybdo for example,

0:19:25.840 --> 0:19:28.240
<v Speaker 5>is now willing to work with super Micro computer.

0:19:29.040 --> 0:19:32.600
<v Speaker 7>Yeah, it's quite a dramatic episode. Backing up a little bit,

0:19:32.720 --> 0:19:37.000
<v Speaker 7>super Micro missed a deadline to file financials back in August.

0:19:38.040 --> 0:19:41.240
<v Speaker 7>Then their auditor ey resign saying we're not willing to

0:19:41.240 --> 0:19:44.840
<v Speaker 7>be associated with these numbers. This is scary stuff. You

0:19:44.880 --> 0:19:47.080
<v Speaker 7>don't see this too often, and so it was up

0:19:47.160 --> 0:19:49.719
<v Speaker 7>to the wire here. Super Micro had to find a

0:19:49.760 --> 0:19:53.159
<v Speaker 7>new auditor to get them in line with NASDAC rules

0:19:53.200 --> 0:19:57.080
<v Speaker 7>to avoid delisting, and on the very last day, yesterday evening,

0:19:57.560 --> 0:20:01.639
<v Speaker 7>they found BDO. It was a fairly major auditor. But

0:20:01.680 --> 0:20:04.280
<v Speaker 7>it's worth noting they are not one of the Big four.

0:20:04.480 --> 0:20:06.879
<v Speaker 7>They're the Big fifth or sixth, depending on who you

0:20:06.960 --> 0:20:09.439
<v Speaker 7>listen to. But what matters is they are an auditor

0:20:09.960 --> 0:20:12.240
<v Speaker 7>and they're willing to, you know, try to help super

0:20:12.280 --> 0:20:14.920
<v Speaker 7>Micro get back into compliance, which buys them a couple

0:20:14.960 --> 0:20:18.440
<v Speaker 7>more months before you know, another deadline.

0:20:18.960 --> 0:20:22.000
<v Speaker 5>February is likely when the document deadline is going to

0:20:22.040 --> 0:20:24.720
<v Speaker 5>be pushed to for this ten K filing. The risk

0:20:24.800 --> 0:20:27.639
<v Speaker 5>here is when they're ousted out of the Nasdaq and

0:20:27.640 --> 0:20:29.879
<v Speaker 5>therefore liquidity is going to be far more difficult.

0:20:29.880 --> 0:20:31.600
<v Speaker 4>People will be forced to sell their holdings.

0:20:31.640 --> 0:20:35.359
<v Speaker 7>Right yeah, February, three months from now and the news

0:20:35.400 --> 0:20:38.280
<v Speaker 7>business sounds like forever and the accounting world it is,

0:20:38.920 --> 0:20:41.919
<v Speaker 7>you know, very short, because they essentially have to go

0:20:42.040 --> 0:20:45.040
<v Speaker 7>back through all of their financials and figure out there

0:20:45.160 --> 0:20:48.119
<v Speaker 7>was some issue. Maybe it was around just processes. Maybe

0:20:48.200 --> 0:20:51.440
<v Speaker 7>no restatement is needed. Even in that best case scenario,

0:20:51.560 --> 0:20:55.400
<v Speaker 7>it's quite tight. Right. Let's say that they were delisted.

0:20:55.720 --> 0:20:59.480
<v Speaker 7>What would happen is a significant amount of their shareholders

0:20:59.520 --> 0:21:03.359
<v Speaker 7>would are passive, meaning it would be automatic selling. And

0:21:03.440 --> 0:21:05.480
<v Speaker 7>it's possible that they would have to repay some of

0:21:05.480 --> 0:21:09.080
<v Speaker 7>their bonds early. That's you know, about one point seven

0:21:09.160 --> 0:21:12.040
<v Speaker 7>billion or so. Essentially. Super Micro is going to do

0:21:12.119 --> 0:21:15.560
<v Speaker 7>everything within its power to avoid that scenario, and its

0:21:15.600 --> 0:21:18.679
<v Speaker 7>odds just got a whole lot better after yesterday's news.

0:21:18.880 --> 0:21:22.080
<v Speaker 5>Mean, while its still faces a DOJ probe, we understand, lady,

0:21:22.119 --> 0:21:23.680
<v Speaker 5>for all across this company.

0:21:24.080 --> 0:21:34.600
<v Speaker 4>Thanks, thank you. Welcome back to Bluemote Technology. I'm Caroin

0:21:34.640 --> 0:21:35.280
<v Speaker 4>Hyde in New York.

0:21:35.280 --> 0:21:37.640
<v Speaker 5>It's time now for talking tech and first up shares.

0:21:37.680 --> 0:21:40.840
<v Speaker 5>A delivery Heroes Middle East unit tell About sold out

0:21:40.920 --> 0:21:44.600
<v Speaker 5>min minutes after its subscriptions opened. The IPO value tell

0:21:44.600 --> 0:21:47.119
<v Speaker 5>About and up to ten point two billion dollars in

0:21:47.160 --> 0:21:49.280
<v Speaker 5>the final price of Talabas offer will be announced on

0:21:49.280 --> 0:21:51.879
<v Speaker 5>November the twenty ninth, with shares set to start trading

0:21:51.920 --> 0:21:55.159
<v Speaker 5>on December the tenth plus. Apple is offering Indonesia one

0:21:55.240 --> 0:21:57.800
<v Speaker 5>hundred million dollars in investment as the company hopes to

0:21:57.800 --> 0:22:00.359
<v Speaker 5>persuade the government in lifting a sales band on its

0:22:00.400 --> 0:22:03.600
<v Speaker 5>iPhone sixteen. That's according to sources, the proposal is an

0:22:03.720 --> 0:22:06.960
<v Speaker 5>increase of a prior offer of ten million dollars made

0:22:07.000 --> 0:22:10.280
<v Speaker 5>last month. Indonesia's Ministry of Industry was not made a

0:22:10.280 --> 0:22:13.600
<v Speaker 5>final decision on the revised offer, and Sony is exploring

0:22:13.640 --> 0:22:16.800
<v Speaker 5>a takeover of publisher Karakawa, maker of the hit game

0:22:16.920 --> 0:22:20.200
<v Speaker 5>elden Ring. According to sources, the two companies have held talks,

0:22:20.200 --> 0:22:24.080
<v Speaker 5>with deliberations still ongoing. The purchase would allow Sony access

0:22:24.119 --> 0:22:28.919
<v Speaker 5>to Kadakawa's expansive library of manga, anime, film, and gaming content.

0:22:30.000 --> 0:22:31.400
<v Speaker 4>Let's stick with gaming now.

0:22:31.280 --> 0:22:34.639
<v Speaker 5>Because roblocks has announced more protections to its platform for

0:22:34.680 --> 0:22:38.880
<v Speaker 5>its youngest users, with new parental controls, restrictions on communication

0:22:39.280 --> 0:22:42.560
<v Speaker 5>and the content that is accessible, as well as clearer

0:22:42.560 --> 0:22:46.200
<v Speaker 5>content labels. This is all after Roblocks's child's safety policies

0:22:46.320 --> 0:22:49.000
<v Speaker 5>have come under increasing scrutiny in recent months and following

0:22:49.080 --> 0:22:50.280
<v Speaker 5>arrests of alleged child.

0:22:50.160 --> 0:22:51.440
<v Speaker 4>Abuses using the service.

0:22:51.760 --> 0:22:54.840
<v Speaker 5>Now, Matt Kaufman, who's chief safety officer at Roblocks and

0:22:54.880 --> 0:22:57.159
<v Speaker 5>peaces Say, joins us now to discuss these changes and

0:22:57.240 --> 0:22:59.040
<v Speaker 5>just go into some of the measures in particular that

0:22:59.080 --> 0:23:00.520
<v Speaker 5>you think will make a real differference here.

0:23:01.520 --> 0:23:05.000
<v Speaker 8>Sure, First, thank you for having me. We've waunched three things.

0:23:05.119 --> 0:23:07.920
<v Speaker 8>The first is new parental controls that make it easier

0:23:07.920 --> 0:23:12.320
<v Speaker 8>for parents to monitor and manage their kids accounts even

0:23:12.359 --> 0:23:15.119
<v Speaker 8>when they're not sitting next to their kids. We've also

0:23:15.200 --> 0:23:18.840
<v Speaker 8>updated how our younger users under thirteen can communicate on

0:23:18.880 --> 0:23:22.600
<v Speaker 8>the platform, and finally, we've built in additional protections for

0:23:22.680 --> 0:23:23.760
<v Speaker 8>our youngest users.

0:23:24.320 --> 0:23:27.520
<v Speaker 5>Let's just talk about ultimately defining and working out who

0:23:27.640 --> 0:23:30.800
<v Speaker 5>is thirteen and under. It's a really difficult lift if

0:23:30.800 --> 0:23:33.119
<v Speaker 5>people aren't going to be always telling the truth. Are

0:23:33.240 --> 0:23:35.879
<v Speaker 5>using technology here or is it really depending on the

0:23:35.920 --> 0:23:37.320
<v Speaker 5>truth of the userbase.

0:23:38.400 --> 0:23:40.439
<v Speaker 8>You know, if you're under thirteen and you sign up

0:23:40.440 --> 0:23:43.399
<v Speaker 8>for an account online, we actually cannot ask you for

0:23:43.440 --> 0:23:48.520
<v Speaker 8>additional information because of privacy reasons. So from a Roadblocks perspective,

0:23:48.560 --> 0:23:50.800
<v Speaker 8>we work to make sure that everybody is on the

0:23:50.800 --> 0:23:53.960
<v Speaker 8>platform is safe no matter what age they sign up at.

0:23:54.840 --> 0:23:58.479
<v Speaker 5>So how therefore are you looking to if you kind

0:23:58.520 --> 0:24:02.400
<v Speaker 5>of ask if you cannot get the data and their clarity,

0:24:03.200 --> 0:24:04.560
<v Speaker 5>is there a fix?

0:24:04.720 --> 0:24:05.800
<v Speaker 4>Is there something you're working on?

0:24:06.720 --> 0:24:09.959
<v Speaker 8>Well, so what we do is we take extraordinary steps

0:24:10.000 --> 0:24:12.840
<v Speaker 8>to keep everybody safe on the platform. For example, when

0:24:12.840 --> 0:24:17.880
<v Speaker 8>you're communicating on roadblocks, we don't encrypt anything. We monitor

0:24:17.960 --> 0:24:21.399
<v Speaker 8>all communication and we have an investigation team that's constantly

0:24:21.440 --> 0:24:25.000
<v Speaker 8>looking into issues where our system detects that something may

0:24:25.040 --> 0:24:29.200
<v Speaker 8>be violative to our process, our policies, and we have

0:24:29.359 --> 0:24:32.199
<v Speaker 8>a lot of machine learning and AI systems that are

0:24:32.280 --> 0:24:35.480
<v Speaker 8>running to keep everybody safe. And really that's part of

0:24:35.480 --> 0:24:36.720
<v Speaker 8>our go ahead.

0:24:36.920 --> 0:24:40.800
<v Speaker 5>Well talk through that AI, the machine learning how sopheificated

0:24:40.880 --> 0:24:45.360
<v Speaker 5>is it becoming because the subtleties of grooming are so hard.

0:24:45.160 --> 0:24:45.720
<v Speaker 4>To pick up on.

0:24:47.160 --> 0:24:50.000
<v Speaker 8>That's true, and AI is advancing very fast, and we've

0:24:50.040 --> 0:24:54.320
<v Speaker 8>made significant leaps in the technology. For example, our automated

0:24:54.359 --> 0:24:59.080
<v Speaker 8>moderation systems for voice communication. Just earlier this year, we

0:24:59.160 --> 0:25:03.240
<v Speaker 8>open source some of the models behind that technology and

0:25:03.280 --> 0:25:05.760
<v Speaker 8>they're some of the most popular models in open source

0:25:05.760 --> 0:25:08.919
<v Speaker 8>today for safety. So we feel that roadblocks is really

0:25:09.040 --> 0:25:12.080
<v Speaker 8>at the leading edge of developing AI to keep people

0:25:12.119 --> 0:25:13.240
<v Speaker 8>safe on the platform.

0:25:13.400 --> 0:25:16.080
<v Speaker 5>Can you give that balance of AI and then the

0:25:16.119 --> 0:25:19.280
<v Speaker 5>team that does the deeper investigation. Is it that you

0:25:19.320 --> 0:25:22.680
<v Speaker 5>can ever more focus on technology being the fix here?

0:25:22.960 --> 0:25:24.679
<v Speaker 4>How big is the team going to remain?

0:25:26.040 --> 0:25:29.240
<v Speaker 8>Really everything is almost like a multi layered approach. You

0:25:29.320 --> 0:25:32.720
<v Speaker 8>have AI systems that make initial decisions and act very

0:25:32.760 --> 0:25:36.320
<v Speaker 8>fast and at super scale. But behind those AIS, you

0:25:36.440 --> 0:25:40.080
<v Speaker 8>have a team of professional safety experts that are doing

0:25:40.160 --> 0:25:42.040
<v Speaker 8>all sorts of things. They're the ones who are of

0:25:42.119 --> 0:25:44.680
<v Speaker 8>course who are training the AI. They're also the ones

0:25:44.720 --> 0:25:47.880
<v Speaker 8>that are handling appeals because sometimes the AI doesn't get

0:25:47.920 --> 0:25:51.119
<v Speaker 8>things right. So if somebody says, hey, I feel like

0:25:51.160 --> 0:25:53.880
<v Speaker 8>it made a mistake, we have our team of professionals

0:25:53.920 --> 0:25:56.320
<v Speaker 8>who step in to make decisions, and of course that

0:25:56.359 --> 0:25:59.280
<v Speaker 8>trains the AI. And then we also have that team

0:25:59.320 --> 0:26:03.320
<v Speaker 8>of professionals handling the most complicated cases. So, for example,

0:26:03.320 --> 0:26:06.320
<v Speaker 8>we have a team of investigators who are constantly looking

0:26:06.359 --> 0:26:08.720
<v Speaker 8>at the platform trying to understand if there are bad

0:26:08.760 --> 0:26:11.840
<v Speaker 8>actors and if there are, immediately removing them from the

0:26:11.880 --> 0:26:15.120
<v Speaker 8>platform and working with our law enforcement partners to keep

0:26:15.119 --> 0:26:16.040
<v Speaker 8>the platform safe.

0:26:16.119 --> 0:26:18.920
<v Speaker 5>Yeah, focus in on the bad actor side. You've outlined

0:26:18.960 --> 0:26:21.880
<v Speaker 5>how you're going to be protecting the users, the children,

0:26:22.280 --> 0:26:24.720
<v Speaker 5>but the people who come on who aren't who they

0:26:24.720 --> 0:26:27.200
<v Speaker 5>say they are, who are indeed the predators, what are

0:26:27.200 --> 0:26:28.200
<v Speaker 5>you doing to innovate there?

0:26:29.359 --> 0:26:31.240
<v Speaker 8>Sure, So let me step back for a minute and say,

0:26:31.280 --> 0:26:34.239
<v Speaker 8>you know, roblocks has nearly ninety million users from one

0:26:34.320 --> 0:26:37.200
<v Speaker 8>hundred and ninety countries around the world, and these users

0:26:37.200 --> 0:26:40.440
<v Speaker 8>are enjoying experiences with their friends and with their families,

0:26:40.720 --> 0:26:43.840
<v Speaker 8>and it's a really important part of their life. There's

0:26:43.920 --> 0:26:46.120
<v Speaker 8>a very very small number of people in the world

0:26:46.200 --> 0:26:48.919
<v Speaker 8>who are just they're bad actors, and so we have

0:26:49.080 --> 0:26:53.879
<v Speaker 8>systems that automatically detect behavioral anomalies to determine when something

0:26:53.960 --> 0:26:57.320
<v Speaker 8>might be violating our policy, and we try and act

0:26:57.320 --> 0:27:00.119
<v Speaker 8>as quickly as we can. That notion of acting as

0:27:00.160 --> 0:27:03.439
<v Speaker 8>quickly as we can actually applies to how people upload

0:27:03.480 --> 0:27:06.159
<v Speaker 8>content to Roadblocks. First of all, when you're building a

0:27:06.160 --> 0:27:09.640
<v Speaker 8>game on Roadblocks, we review every piece of content that's

0:27:09.720 --> 0:27:12.760
<v Speaker 8>uploaded to the platform before anybody sees it. And when

0:27:12.760 --> 0:27:16.439
<v Speaker 8>you're communicating using text on the platform, we actually block

0:27:16.520 --> 0:27:19.760
<v Speaker 8>out and filter a lot of that communication before it

0:27:19.800 --> 0:27:22.320
<v Speaker 8>ever transmits. To other people if we find that it

0:27:22.359 --> 0:27:23.600
<v Speaker 8>is violated for our.

0:27:23.400 --> 0:27:27.879
<v Speaker 5>Policies, So those sorts of changes that you just outline,

0:27:28.040 --> 0:27:31.280
<v Speaker 5>are they new and they novel because I mean, very sadly,

0:27:31.320 --> 0:27:33.320
<v Speaker 5>as you say, there are very few bad actors and

0:27:33.400 --> 0:27:36.760
<v Speaker 5>a percentage perspective, but raw numbers of at least twenty

0:27:36.760 --> 0:27:39.520
<v Speaker 5>four people being arrested since twenty eighteen because of abusing

0:27:39.640 --> 0:27:42.400
<v Speaker 5>or abducting victims met through the platform, it's twenty four

0:27:42.440 --> 0:27:43.840
<v Speaker 5>too many. As I'm sure you.

0:27:43.800 --> 0:27:49.320
<v Speaker 8>Agree, I think anybody obviously who comes to any harm

0:27:49.359 --> 0:27:52.000
<v Speaker 8>on roadblocks is one too many. And we take these

0:27:52.040 --> 0:27:55.080
<v Speaker 8>situations incredibly seriously, and we do everything we can to

0:27:55.160 --> 0:27:58.040
<v Speaker 8>keep the platform safe. It is our number one priority

0:27:59.080 --> 0:28:02.000
<v Speaker 8>when it comes to the bad actors on roadblocks. We

0:28:02.040 --> 0:28:05.679
<v Speaker 8>are constantly innovating, and we've actually this year alone have

0:28:05.720 --> 0:28:09.359
<v Speaker 8>already had thirty major updates to our safety systems. So

0:28:09.480 --> 0:28:11.920
<v Speaker 8>the release that we're talking about today and we announced

0:28:11.960 --> 0:28:15.760
<v Speaker 8>this week is really about limiting exposure to some of

0:28:15.760 --> 0:28:19.200
<v Speaker 8>our youngest audiences to content that's more appropriate to teenagers

0:28:19.680 --> 0:28:22.520
<v Speaker 8>when we're talking about the actual, the really bad actors.

0:28:22.760 --> 0:28:26.120
<v Speaker 8>We are constantly innovating on that front and constantly updating

0:28:26.119 --> 0:28:26.760
<v Speaker 8>our systems.

0:28:27.040 --> 0:28:30.199
<v Speaker 5>You talk about safety being your number one priority, and

0:28:30.240 --> 0:28:33.120
<v Speaker 5>there have of course been accusations that there was growth

0:28:33.520 --> 0:28:36.879
<v Speaker 5>that came first over safety. Do you still feel in

0:28:36.960 --> 0:28:40.520
<v Speaker 5>any way that that's the case, or do you ultimately

0:28:40.560 --> 0:28:43.160
<v Speaker 5>have to slow down sign ups in some way to

0:28:43.360 --> 0:28:45.200
<v Speaker 5>ensure the number one priority is safety.

0:28:45.960 --> 0:28:47.800
<v Speaker 8>You know, our number one priority is safety. I mean,

0:28:47.800 --> 0:28:51.240
<v Speaker 8>I think that's just our first principle. And if you

0:28:51.240 --> 0:28:54.400
<v Speaker 8>think about it from a company perspective, Roadblocks was founded

0:28:54.840 --> 0:28:57.680
<v Speaker 8>nearly twenty years ago, where the audience was primarily kids

0:28:57.680 --> 0:29:01.600
<v Speaker 8>in the beginning, and really since it's found, protecting the

0:29:01.680 --> 0:29:04.800
<v Speaker 8>users on the platform has been our first priority, and

0:29:05.200 --> 0:29:07.840
<v Speaker 8>it's good for our business, it's good for growth, it's

0:29:07.880 --> 0:29:13.560
<v Speaker 8>obviously good for our users. Everyone at Roadblocks understands that, yes,

0:29:13.640 --> 0:29:18.040
<v Speaker 8>sometimes we slow things down to account for safety issues.

0:29:18.520 --> 0:29:22.120
<v Speaker 8>For example, when we first start developing new features, we'll

0:29:22.160 --> 0:29:24.720
<v Speaker 8>sit down with those feature teams and talk about risks

0:29:24.720 --> 0:29:27.440
<v Speaker 8>associated with the feature and make sure we address those

0:29:27.480 --> 0:29:29.840
<v Speaker 8>at the very beginning, rather than waiting to tell the

0:29:29.920 --> 0:29:32.720
<v Speaker 8>very end and trying to fix something we build safety

0:29:32.720 --> 0:29:34.160
<v Speaker 8>in at the beginning.

0:29:35.080 --> 0:29:38.800
<v Speaker 5>You're not the only company that, in many ways both

0:29:38.880 --> 0:29:41.080
<v Speaker 5>has led a genie out of a bottle here because

0:29:41.120 --> 0:29:44.840
<v Speaker 5>of those few bad actors. And I'm interested is ultimately

0:29:46.040 --> 0:29:49.680
<v Speaker 5>how the focus shifts from being one where companies are

0:29:49.720 --> 0:29:51.959
<v Speaker 5>the ones we turn to to fix this, or how

0:29:52.000 --> 0:29:54.600
<v Speaker 5>much the onus is on the parents, on the children,

0:29:54.840 --> 0:29:59.000
<v Speaker 5>on the users. Where do you think that balance lies, Matt, I.

0:29:58.960 --> 0:30:02.680
<v Speaker 8>Think companies need to take a proactive stance to keeping

0:30:03.080 --> 0:30:06.120
<v Speaker 8>their users safe on the platform. Obviously, we want to

0:30:06.160 --> 0:30:09.120
<v Speaker 8>provide as many systems and controls and insights to parents

0:30:09.160 --> 0:30:12.480
<v Speaker 8>as possible, but from our perspective, we need to make

0:30:12.520 --> 0:30:15.080
<v Speaker 8>the assumption that parents aren't always in the room and

0:30:15.160 --> 0:30:18.400
<v Speaker 8>aren't always involved, and that's okay. Parents are really busy.

0:30:18.760 --> 0:30:22.080
<v Speaker 8>They're spread between their jobs and all kinds of different

0:30:22.120 --> 0:30:24.920
<v Speaker 8>things going on, and we need to play a proactive role.

0:30:25.280 --> 0:30:27.640
<v Speaker 8>I think when you're talking about like the larger problem

0:30:27.720 --> 0:30:30.880
<v Speaker 8>that we face, I think it's almost like it's a

0:30:30.880 --> 0:30:33.440
<v Speaker 8>problem across the Internet. And so the other thing that

0:30:33.480 --> 0:30:35.800
<v Speaker 8>we think a lot about on roadblocks is how do

0:30:35.840 --> 0:30:39.040
<v Speaker 8>we keep people safe on roadblocks? Knowing that our users

0:30:39.120 --> 0:30:42.480
<v Speaker 8>also have accounts on other platforms, and they have phone

0:30:42.560 --> 0:30:45.640
<v Speaker 8>numbers and cell phones and things like that, and we

0:30:45.720 --> 0:30:49.000
<v Speaker 8>do our best to keep people on roadblocks, so we

0:30:49.040 --> 0:30:52.959
<v Speaker 8>try and block people from sharing personal identifiable information. We

0:30:53.000 --> 0:30:56.760
<v Speaker 8>try and block people from directing users to other platforms

0:30:57.040 --> 0:31:00.120
<v Speaker 8>because we know that we can keep roadblocks safe and

0:31:00.160 --> 0:31:03.400
<v Speaker 8>we know that we go through great ends to keep

0:31:03.440 --> 0:31:06.560
<v Speaker 8>the platform safe, but other platforms don't operate at the

0:31:06.560 --> 0:31:09.080
<v Speaker 8>same standards that we do, so it's very important for

0:31:09.200 --> 0:31:11.200
<v Speaker 8>us to do what we can to make sure that

0:31:11.240 --> 0:31:13.440
<v Speaker 8>people stay safe on roadblocks while they're there.

0:31:13.840 --> 0:31:17.160
<v Speaker 5>Web Rocks Chief safety Officer Matt Kaufman, thanks for your

0:31:17.200 --> 0:31:21.000
<v Speaker 5>time today on their latest protections being unveiled. Meanwhile, we

0:31:21.200 --> 0:31:24.360
<v Speaker 5>shift from particular corporate story over to what's happening in

0:31:24.400 --> 0:31:25.560
<v Speaker 5>the broader markets right now.

0:31:25.640 --> 0:31:27.160
<v Speaker 4>We actually want to shine like what's happening in.

0:31:27.160 --> 0:31:31.040
<v Speaker 5>Crypto because it is continuing to sustain it's rally. Bitcoin

0:31:31.160 --> 0:31:33.400
<v Speaker 5>up to now ninety two thousand. We're off of that

0:31:33.760 --> 0:31:35.880
<v Speaker 5>key high reached in the previous week, but we're still

0:31:35.960 --> 0:31:38.640
<v Speaker 5>up a percentage point on the day. Micro Strategy extraordinary

0:31:38.720 --> 0:31:40.760
<v Speaker 5>run more than four hundred percent higher over the last

0:31:41.240 --> 0:31:42.040
<v Speaker 5>year trading.

0:31:42.360 --> 0:31:43.719
<v Speaker 4>We're up another six percent.

0:31:43.880 --> 0:31:47.040
<v Speaker 5>The company's going to be selling yet more convertible debt

0:31:47.040 --> 0:31:48.520
<v Speaker 5>to be able to buy you guessed.

0:31:48.240 --> 0:31:49.240
<v Speaker 4>It yet more bitcoin.

0:31:49.520 --> 0:31:52.080
<v Speaker 5>They've just added more than fifty six thousand already, they

0:31:52.120 --> 0:31:54.680
<v Speaker 5>have more than thirty billion dollars worth on their balance sheet.

0:31:54.680 --> 0:31:56.240
<v Speaker 4>We're looking at backed holdings as well.

0:31:56.360 --> 0:32:01.040
<v Speaker 5>Interesting story that maybe Trump True Social might well be

0:32:01.120 --> 0:32:04.840
<v Speaker 5>purchasing backed of course, a marketplace for crypto coming up

0:32:05.160 --> 0:32:07.200
<v Speaker 5>Trump that we have Trump Media currently off by seven

0:32:07.200 --> 0:32:08.600
<v Speaker 5>percent on the back of that reporting.

0:32:08.720 --> 0:32:10.280
<v Speaker 4>Tech firms, meanwhile, are.

0:32:10.280 --> 0:32:13.960
<v Speaker 5>Racing to develop AI powered agents to help improve efficiency

0:32:13.960 --> 0:32:16.120
<v Speaker 5>across sales industry, and one of the leaders in the

0:32:16.120 --> 0:32:19.760
<v Speaker 5>field is Rocks Company CEO and co founder Shan Mukerje.

0:32:19.920 --> 0:32:21.880
<v Speaker 4>It's going to be joining us. This is Bloomberg Technology.

0:32:30.880 --> 0:32:33.320
<v Speaker 5>There is a wave of startups and bigger companies that

0:32:33.360 --> 0:32:36.960
<v Speaker 5>are focusing in on developing AI powered agents, in particular

0:32:36.960 --> 0:32:41.160
<v Speaker 5>for salespeople, all in an effort to more efficiently complete tasks.

0:32:40.720 --> 0:32:43.920
<v Speaker 4>With minimal human supervision. One of them is Rocks, who.

0:32:43.720 --> 0:32:47.600
<v Speaker 5>Today announces a fifty million dollar raise here with more

0:32:47.720 --> 0:32:52.520
<v Speaker 5>Rock CEO and co founder Ishan Mukerji. Ishan, first things first,

0:32:52.560 --> 0:32:54.680
<v Speaker 5>before we get to the exact details of the numbers,

0:32:55.080 --> 0:32:58.160
<v Speaker 5>is how many companies do you estimate are out there

0:32:58.200 --> 0:33:00.400
<v Speaker 5>building agents for enterprize.

0:33:01.880 --> 0:33:05.920
<v Speaker 9>There's quite a few have a growing incumbent kind of

0:33:05.960 --> 0:33:09.760
<v Speaker 9>market of vendors who are repositioning themselves as the I companies.

0:33:10.280 --> 0:33:12.960
<v Speaker 9>And then because of the barriers of entry being lowered,

0:33:13.360 --> 0:33:16.000
<v Speaker 9>there is always early stage companies entering the market.

0:33:16.400 --> 0:33:21.840
<v Speaker 5>And yet Sequoia picks you, General Catalyst picks you. What

0:33:21.920 --> 0:33:25.400
<v Speaker 5>are you offering that's different that Salesforce isn't already plowing

0:33:25.440 --> 0:33:28.239
<v Speaker 5>money into Microsoft isn't doing or some of the other

0:33:28.280 --> 0:33:29.600
<v Speaker 5>startups that are in the field.

0:33:31.000 --> 0:33:35.440
<v Speaker 9>Yeah, at Rocks, we're building AI that focuses on accelerating

0:33:35.520 --> 0:33:39.600
<v Speaker 9>revenue for the largest enterprises. Caroline, what we're seeing is

0:33:40.000 --> 0:33:43.800
<v Speaker 9>every business owner across every vertical is blowing out the

0:33:43.880 --> 0:33:47.800
<v Speaker 9>revenue targets for next year. Some of our customers are

0:33:47.800 --> 0:33:51.840
<v Speaker 9>doubling the revenue targets when none of them are doubling

0:33:51.840 --> 0:33:55.920
<v Speaker 9>the team size. So the interesting thing about sales is

0:33:55.960 --> 0:33:58.960
<v Speaker 9>it follows the power law. Ninety percent of the revenue

0:33:58.960 --> 0:34:03.040
<v Speaker 9>in a scaled enterprise comes in through your largest enterprise customers,

0:34:03.360 --> 0:34:07.440
<v Speaker 9>which is supported by a top fifteen percent of your employees. Okay,

0:34:08.280 --> 0:34:10.359
<v Speaker 9>we have to w revenue. You have to get more

0:34:10.360 --> 0:34:12.480
<v Speaker 9>out of like the top fifteen percent of the employees.

0:34:12.960 --> 0:34:16.120
<v Speaker 5>Okay, so you're saying with your technology, with your AI agents,

0:34:16.200 --> 0:34:21.040
<v Speaker 5>you're sort of super powering, augmenting the humans that are

0:34:21.080 --> 0:34:24.120
<v Speaker 5>currently being hired. But my question remains sort of why

0:34:24.160 --> 0:34:26.479
<v Speaker 5>wouldn't someone do that through Microsoft? How can you ensure

0:34:26.480 --> 0:34:29.080
<v Speaker 5>you continue to build your pipeline of users and indeed,

0:34:29.200 --> 0:34:31.480
<v Speaker 5>with a fifty million that you currently raised, be able to.

0:34:31.440 --> 0:34:31.920
<v Speaker 4>Tackle that.

0:34:33.680 --> 0:34:36.719
<v Speaker 9>To be essential to an enterprise and essentially securing and

0:34:36.760 --> 0:34:42.000
<v Speaker 9>growing their customers. Like, the core advantage of AI is

0:34:42.040 --> 0:34:44.400
<v Speaker 9>to be able to deeply couple with the data layer.

0:34:44.480 --> 0:34:47.640
<v Speaker 9>So at Rocks we build the first enterprise ready AI

0:34:47.680 --> 0:34:51.360
<v Speaker 9>agent swarm that's powered by a warehouse native system of record.

0:34:51.680 --> 0:34:55.320
<v Speaker 9>So Rocks we've seen amazing kind of early adoption because

0:34:55.360 --> 0:34:57.799
<v Speaker 9>of the part of the data that we aggregate that

0:34:57.880 --> 0:34:58.920
<v Speaker 9>fuels these agents.

0:35:00.000 --> 0:35:02.880
<v Speaker 5>Co founder Shan Muckergee, we appreciate you coming on to

0:35:02.880 --> 0:35:06.200
<v Speaker 5>talk about the rays and the company. Meanwhile, Huawei's ambitions

0:35:06.200 --> 0:35:09.879
<v Speaker 5>to create more powerful chips, FRAI and smartphones has hit

0:35:09.960 --> 0:35:12.680
<v Speaker 5>some madjor snags because of US sanctions. This is the

0:35:12.760 --> 0:35:16.719
<v Speaker 5>Chinese firm is designing its next to ascend processors. It's

0:35:16.760 --> 0:35:19.920
<v Speaker 5>answered basically to Nvidia's dominant accelerators and so all, according

0:35:19.920 --> 0:35:22.440
<v Speaker 5>to sources who say this means that the firm's marquee

0:35:22.520 --> 0:35:26.200
<v Speaker 5>chips will be stuck at aging technology until at least

0:35:26.200 --> 0:35:30.000
<v Speaker 5>twenty twenty six. Meanwhile, let's talk about innovation over it

0:35:30.000 --> 0:35:32.680
<v Speaker 5>in video, it's teaming up with Google to pursue another

0:35:32.719 --> 0:35:38.360
<v Speaker 5>technology once well relegated the science fiction quantum computing. Bloomberg's

0:35:38.400 --> 0:35:40.680
<v Speaker 5>Inking has the details. We were just talking about quantum

0:35:40.719 --> 0:35:43.319
<v Speaker 5>computing with a market analyst yesterday, and here we have

0:35:43.440 --> 0:35:44.719
<v Speaker 5>a new deal being forged.

0:35:44.480 --> 0:35:45.640
<v Speaker 4>Between in Video and Google.

0:35:46.000 --> 0:35:48.600
<v Speaker 5>What are they going to be doing together to progress us?

0:35:49.640 --> 0:35:52.040
<v Speaker 10>Well, this is basically in Video saying hey, this is

0:35:52.080 --> 0:35:57.920
<v Speaker 10>another use of our technology RAAI chips and systems and software,

0:35:58.239 --> 0:36:00.960
<v Speaker 10>and hey look there's a really important company called Google

0:36:01.000 --> 0:36:03.600
<v Speaker 10>that you've heard of that's using this to try to

0:36:03.840 --> 0:36:08.719
<v Speaker 10>push the whole quantum computing world forward early stages. But

0:36:08.840 --> 0:36:12.600
<v Speaker 10>basically Google is going to be using an in video supercomputer.

0:36:13.880 --> 0:36:17.040
<v Speaker 5>Okay, in videos supercomputer will then be able to strip

0:36:17.120 --> 0:36:19.400
<v Speaker 5>out so called noises. You say, what exactly adds to

0:36:19.440 --> 0:36:21.120
<v Speaker 5>the noise? What is it that the innovation we're seeing

0:36:21.160 --> 0:36:23.520
<v Speaker 5>right here right now that can cut that down or

0:36:23.520 --> 0:36:26.520
<v Speaker 5>indeed understand how it impacts the future of quantum computing.

0:36:27.000 --> 0:36:29.520
<v Speaker 10>Yeah, I mean, we're using the phrase quantum computing and

0:36:29.560 --> 0:36:33.879
<v Speaker 10>everybody throws it around, but it doesn't really exist. There

0:36:33.880 --> 0:36:38.600
<v Speaker 10>are components, or the early stage components that are attempts

0:36:38.600 --> 0:36:43.319
<v Speaker 10>to use quantum mechanics to basically represent information and to

0:36:43.440 --> 0:36:47.279
<v Speaker 10>replace standard semiconductors. We're at the really early stages of

0:36:47.320 --> 0:36:50.399
<v Speaker 10>that and actually deciding what is information and what is

0:36:50.680 --> 0:36:53.200
<v Speaker 10>just random noise generated by the environment.

0:36:53.440 --> 0:36:54.520
<v Speaker 4>Is it really difficult?

0:36:54.600 --> 0:36:57.080
<v Speaker 10>What in video is saying is hey, use our technology

0:36:57.280 --> 0:37:01.120
<v Speaker 10>and you'll be able to develop components more quickly that

0:37:01.480 --> 0:37:04.240
<v Speaker 10>can do that by simulating that environment.

0:37:04.680 --> 0:37:06.759
<v Speaker 5>So when video wants to ensure that we still think

0:37:06.760 --> 0:37:10.000
<v Speaker 5>of it going forward past into quantum computing.

0:37:10.280 --> 0:37:12.799
<v Speaker 4>Google meanwhile is in on the app.

0:37:12.600 --> 0:37:15.120
<v Speaker 5>Just because of the sheer force of data processing that

0:37:15.160 --> 0:37:18.040
<v Speaker 5>will be achieved under this what is currently still in

0:37:18.080 --> 0:37:18.960
<v Speaker 5>the bounds of fiction.

0:37:19.960 --> 0:37:20.920
<v Speaker 4>Yeah, exactly.

0:37:20.960 --> 0:37:23.680
<v Speaker 10>You said we'll be achieved, and some people would say

0:37:23.719 --> 0:37:27.600
<v Speaker 10>that's an inevitable future. Jensen Wang I believe said, you know,

0:37:27.640 --> 0:37:30.840
<v Speaker 10>a couple of decades, more than a decade. Others have

0:37:30.960 --> 0:37:35.200
<v Speaker 10>said never, So you take your pick. But certainly in

0:37:35.280 --> 0:37:38.200
<v Speaker 10>video is definitely covering its bets and again trying to

0:37:38.239 --> 0:37:41.360
<v Speaker 10>push forward this idea that hey, we have this incredible

0:37:41.400 --> 0:37:43.960
<v Speaker 10>system for accelerating whatever it is you're working on, even

0:37:44.000 --> 0:37:46.359
<v Speaker 10>if it's something that will replace what we do, we

0:37:46.400 --> 0:37:48.640
<v Speaker 10>can get you there use our stuff.

0:37:49.120 --> 0:37:51.640
<v Speaker 5>Or the narrative that builds ahead of their earnings in

0:37:52.920 --> 0:37:55.120
<v Speaker 5>little more than twenty four hours time. In King's going

0:37:55.160 --> 0:37:56.520
<v Speaker 5>to be all across it. We thank you with the

0:37:56.600 --> 0:38:07.320
<v Speaker 5>latest don in video. Later today, SpaceX it slated to launch.

0:38:07.400 --> 0:38:11.840
<v Speaker 5>It's got Gamchuan starship rocket once again out of South Texas,

0:38:11.880 --> 0:38:14.240
<v Speaker 5>and it's a key test that is expected to include

0:38:14.280 --> 0:38:15.120
<v Speaker 5>a guest visit from.

0:38:15.040 --> 0:38:17.920
<v Speaker 4>President elect Donald Trump and begs. Lauren Crush joins.

0:38:17.719 --> 0:38:19.560
<v Speaker 5>Us right here when New York come luckily enough to

0:38:19.600 --> 0:38:21.880
<v Speaker 5>say yes, So what is.

0:38:21.880 --> 0:38:23.120
<v Speaker 4>It that they're testing that? Is it going to be

0:38:23.160 --> 0:38:23.799
<v Speaker 4>a repeat the.

0:38:23.800 --> 0:38:28.399
<v Speaker 5>Chopstick fun incredible viewpoint that the whole internet went well, right, Yeah,

0:38:28.400 --> 0:38:31.560
<v Speaker 5>that's stunning booster ketch that everyone was shocked over.

0:38:31.680 --> 0:38:34.080
<v Speaker 11>They're going to try and do that again and we're

0:38:34.120 --> 0:38:37.200
<v Speaker 11>probably going to see that happen many, many times. The

0:38:37.239 --> 0:38:39.040
<v Speaker 11>goal of these tests is to make it so that

0:38:39.160 --> 0:38:41.480
<v Speaker 11>is perfect right, and so they're going to see if

0:38:41.480 --> 0:38:44.600
<v Speaker 11>they can do it again perfect that booster ketch as

0:38:44.640 --> 0:38:47.920
<v Speaker 11>well as launch Starship around the world and then also

0:38:48.000 --> 0:38:50.759
<v Speaker 11>bring that back to Earth through the atmosphere and hope

0:38:50.800 --> 0:38:52.759
<v Speaker 11>that it survives its fiery plunge.

0:38:53.239 --> 0:38:54.839
<v Speaker 4>Just remind us how difficult this is.

0:38:55.000 --> 0:38:58.160
<v Speaker 5>Just how much bigger a rocket that it currently is

0:38:58.200 --> 0:38:59.520
<v Speaker 5>compared to what's already been tried.

0:38:59.600 --> 0:39:03.360
<v Speaker 11>Right, Starship is by far the most powerful, the largest

0:39:03.480 --> 0:39:06.640
<v Speaker 11>rocket that humans have ever developed. I mean, it's the

0:39:06.760 --> 0:39:09.920
<v Speaker 11>key to what SpaceX was formed for, right, to send

0:39:10.160 --> 0:39:13.839
<v Speaker 11>humans to deep space like the Moon and Mars. It's

0:39:14.000 --> 0:39:17.319
<v Speaker 11>it's a behemoth of a vehicle and it has, you know,

0:39:17.480 --> 0:39:19.200
<v Speaker 11>dozens of engines.

0:39:18.800 --> 0:39:19.399
<v Speaker 4>At its base.

0:39:20.000 --> 0:39:22.160
<v Speaker 11>So you know the fact that they can do this

0:39:22.239 --> 0:39:24.399
<v Speaker 11>alone is a feat. But really they need to get

0:39:24.400 --> 0:39:26.600
<v Speaker 11>to a place where they're comfortable with doing this over

0:39:26.600 --> 0:39:29.640
<v Speaker 11>and over again. I mean just last week, President Gwnschotwell

0:39:29.680 --> 0:39:33.080
<v Speaker 11>said that she anticipates launching Starship up to four hundred

0:39:33.120 --> 0:39:35.480
<v Speaker 11>times over the next four years. You know, So this

0:39:35.640 --> 0:39:37.600
<v Speaker 11>is this is something that they want to make routine,

0:39:37.960 --> 0:39:38.839
<v Speaker 11>four hundred.

0:39:38.560 --> 0:39:41.000
<v Speaker 5>Times to do what exactly like this is where the money,

0:39:41.080 --> 0:39:44.120
<v Speaker 5>the revenue stream comes in we just sort of phenomenal valuation.

0:39:43.760 --> 0:39:46.320
<v Speaker 4>For the company. Part of that is the government contracts

0:39:46.320 --> 0:39:47.280
<v Speaker 4>they can win, right.

0:39:47.239 --> 0:39:50.960
<v Speaker 11>I mean, essentially Starship is going to replace the vehicles

0:39:50.960 --> 0:39:53.960
<v Speaker 11>that they're currently using to launch humans and cargo to orbit.

0:39:54.440 --> 0:39:56.040
<v Speaker 4>That won't happen for a while.

0:39:55.760 --> 0:39:58.359
<v Speaker 11>But they want to use Starship to send their next

0:39:58.360 --> 0:40:02.080
<v Speaker 11>generation Starlink satellites into orbit. For instance, the goal is

0:40:02.080 --> 0:40:04.920
<v Speaker 11>to use this as a lander for NASA's Artemis program

0:40:05.000 --> 0:40:07.799
<v Speaker 11>to land people on the Moon and then eventually to

0:40:07.840 --> 0:40:10.960
<v Speaker 11>send humans to Mars somedays. So it really is going

0:40:11.040 --> 0:40:14.120
<v Speaker 11>to be kind of the crux of SpaceX's business plan

0:40:14.239 --> 0:40:15.320
<v Speaker 11>moving forward.

0:40:15.400 --> 0:40:17.120
<v Speaker 5>On which might well be helped by the fact that,

0:40:17.160 --> 0:40:18.920
<v Speaker 5>you know, Musk is so close to the president of

0:40:18.960 --> 0:40:21.840
<v Speaker 5>that Trump who might well be there to view.

0:40:21.680 --> 0:40:22.040
<v Speaker 4>All of this.

0:40:23.120 --> 0:40:26.720
<v Speaker 5>What is the next technological feat that's necessary? Can't even

0:40:26.800 --> 0:40:29.080
<v Speaker 5>get in this current capacity to someone.

0:40:28.920 --> 0:40:30.400
<v Speaker 4>Light mod so glad you asked. So.

0:40:30.600 --> 0:40:34.319
<v Speaker 11>As impressive as these test flights are, there's still quite

0:40:34.320 --> 0:40:36.480
<v Speaker 11>a long way to go. So to get to deep

0:40:36.480 --> 0:40:40.680
<v Speaker 11>space destinations, for instance, space our starship has to refuel

0:40:40.760 --> 0:40:43.600
<v Speaker 11>in orbit, and that's something that's never really been done

0:40:43.680 --> 0:40:46.759
<v Speaker 11>at this scale before, so Essentially, what they'll have to

0:40:46.800 --> 0:40:50.000
<v Speaker 11>do is launch starships and then launch multiple back to

0:40:50.040 --> 0:40:53.799
<v Speaker 11>back starships that will dock in orbit and refuel kind

0:40:53.800 --> 0:40:55.919
<v Speaker 11>of like you know, filling up at the gas tank

0:40:55.960 --> 0:40:58.560
<v Speaker 11>over and over again, and then once it has enough fuel,

0:40:58.640 --> 0:40:59.280
<v Speaker 11>then they can.

0:40:59.160 --> 0:40:59.839
<v Speaker 4>Go on to the moon.

0:41:00.560 --> 0:41:02.759
<v Speaker 11>But that's still a while away, you know, and.

0:41:02.719 --> 0:41:04.800
<v Speaker 4>They still need to perfect this booster catch.

0:41:04.960 --> 0:41:06.879
<v Speaker 11>They need to make sure that starship can come back

0:41:06.880 --> 0:41:09.040
<v Speaker 11>to Earth in one piece. I mean, they were able

0:41:09.080 --> 0:41:11.200
<v Speaker 11>to do that last time, but we still saw some

0:41:11.280 --> 0:41:14.160
<v Speaker 11>pieces of it burning away, so you know, it's it's

0:41:14.200 --> 0:41:14.560
<v Speaker 11>still a.

0:41:14.520 --> 0:41:15.200
<v Speaker 4>Work in progress.

0:41:15.239 --> 0:41:17.080
<v Speaker 11>But that's what each of these tests are for, right

0:41:17.120 --> 0:41:20.279
<v Speaker 11>It's one step forward into that direction. But yes, it's

0:41:20.280 --> 0:41:22.600
<v Speaker 11>going to be some time before anyone is launching on

0:41:22.640 --> 0:41:25.440
<v Speaker 11>this vehicle, let alone going to the moon of Mars.

0:41:25.680 --> 0:41:29.040
<v Speaker 5>All Eyes around five pm today Eastern Lauren Grush, so

0:41:29.120 --> 0:41:29.839
<v Speaker 5>great to have you here.

0:41:30.000 --> 0:41:30.360
<v Speaker 4>Thank you.

0:41:30.560 --> 0:41:32.440
<v Speaker 5>I Meanwhile, that does it for this edition of BLUEBG

0:41:32.440 --> 0:41:35.320
<v Speaker 5>Technology June. In tomorrow, we've got a great interview with

0:41:35.360 --> 0:41:36.719
<v Speaker 5>the quillcom Cio Cristiano.

0:41:36.760 --> 0:41:39.440
<v Speaker 4>I'm on on all things you guessed it, chips and AI.

0:41:40.080 --> 0:41:41.280
<v Speaker 4>This is Blue meg Technology