WEBVTT - The IPO

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<v Speaker 1>Bloomberg Audio Studios.

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<v Speaker 2>Podcasts.

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<v Speaker 3>Radio.

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<v Speaker 2>News.

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<v Speaker 1>How much is riding on this IPO, Dave?

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<v Speaker 4>I mean, I'm not sure I can put a number

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<v Speaker 4>on it. It feels like everything, right? I mean, the

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<v Speaker 4>AI business is propping up the economy.

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<v Speaker 2>I'm Sarah Holder, and this is The Big Take from

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<v Speaker 2>Bloomberg News. Today on the show, Anthropic is going public.

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<v Speaker 2>what we learn from the company's S-1, and what its

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<v Speaker 2>IPO could mean for the rest of the economy. Bloomberg

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<v Speaker 2>Opinion columnist Dave Lee and Mike Regan, managing editor for U.S. Equities,

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<v Speaker 2>thanks for joining us to talk about Anthropic's S-1 filing,

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<v Speaker 2>the paperwork the company has to submit to the SEC today.

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<v Speaker 2>before going for an initial public offering. Mike, I want

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<v Speaker 2>to start with the size of the planned IPO, which

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<v Speaker 2>could come mid-November. What kind of valuation is Anthropic seeking?

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<v Speaker 3>Well, so we don't know exactly right at the moment.

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<v Speaker 3>We have reported that they plan for it to be

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<v Speaker 3>even bigger than SpaceX, which was the largest IPO. It

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<v Speaker 3>raised about $ 86 billion. So we're looking at possibly $ 90,

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<v Speaker 3>maybe even $ 100 billion. raised at a valuation that is

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<v Speaker 3>still sort of up in the air. I think a

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<v Speaker 3>lot depends on the feedback the bankers get on the

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<v Speaker 3>roadshow when they really take this to potential buyers and say,

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<v Speaker 3>what are you willing to pay for this? But call

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<v Speaker 3>it somewhere between $ 1. 5 and $ 2 trillion.

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<v Speaker 2>Wow. And Dave, $ 100 billion, $ 90 to $ 100 billion trying

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<v Speaker 2>to raise. Give me a sense of what this company

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<v Speaker 2>would need so much money for.

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<v Speaker 3>Yeah.

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<v Speaker 4>Well, this will come as little surprise. It's about compute, compute, compute, right?

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<v Speaker 4>Getting hold of those chips or getting at least access

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<v Speaker 4>to use those chips. We know that takes a ton

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<v Speaker 4>of data centers. We know it needs lots of energy.

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<v Speaker 4>And then also, you know, there's the continued sort of

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<v Speaker 4>need to retain talent and have new talent. This is

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<v Speaker 4>an intensely competitive area, obviously. And, you know, when you're

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<v Speaker 4>anthropic and you're a frontier lab, You need to make

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<v Speaker 4>sure that you're constantly at that frontier. Otherwise, the cascading

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<v Speaker 4>effect of being slightly behind all the time is going

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<v Speaker 4>to be a big, big problem.

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<v Speaker 2>Well, the S1 gave us some fresh insights into anthropics,

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<v Speaker 2>revenue and spending, which I think a lot of people

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<v Speaker 2>were really interested to see. It is bringing in a

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<v Speaker 2>lot more money than last year and faster, but it's

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<v Speaker 2>also spending a lot more money than last year. Walk

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<v Speaker 2>us through the cash flow they reported.

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<v Speaker 3>Yeah, I think the operating cash flow was something like

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<v Speaker 3>$ 3. 9 billion. I mean, obviously, the headline net loss number

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<v Speaker 3>was like $ 80 billion, but that's due to basically an

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<v Speaker 3>accounting maneuver to account for the value of some convertible

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<v Speaker 3>securities they sold.

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<v Speaker 1>Why would they do that accounting maneuver?

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<v Speaker 3>Basically, it shows how much the company's valuation has expanded.

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<v Speaker 3>These are notes that can convert to equity, so they're

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<v Speaker 3>a liability to the company. But the only reason they

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<v Speaker 3>ballooned out is because the company itself, its valuation has

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<v Speaker 3>expanded so much. So it now owes these investors that

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<v Speaker 3>much equity, but it's not paying out of pocket for

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<v Speaker 3>any of that.

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<v Speaker 2>So counterintuitively, an $ 80 billion net loss actually makes the

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<v Speaker 2>company look a little better?

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<v Speaker 3>It's not a huge deal. Yes, I know it is counterintuitive.

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<v Speaker 3>But I think the main takeaway from a lot of investors'

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<v Speaker 3>reading through the numbers on this, is how much they

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<v Speaker 3>don't have a ton of debt. In other words, they

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<v Speaker 3>have a lot of commitments, to Dave's point, to spend

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<v Speaker 3>on compute. But instead of doing what, say, the Googles

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<v Speaker 3>of the world or the Amazons of the world are

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<v Speaker 3>doing and building out their own data centers, they're basically

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<v Speaker 3>just planning to rent them for the most part. Now,

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<v Speaker 3>that could change a little bit in the future, but

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<v Speaker 3>their commitments are to these leases over the next five

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<v Speaker 3>or 10 years. to the Amazons of the world, the

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<v Speaker 3>Googles of the world, to the Microsofts and the SpaceX

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<v Speaker 3>of the world.

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<v Speaker 1>And what is the scale of those commitments? That's hundreds

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<v Speaker 1>of billions of dollars.

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<v Speaker 3>It's hundreds of billions of dollars, upwards of $ 800 billion

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<v Speaker 3>over the next, call it, decade or so. So it

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<v Speaker 3>is a huge commitment, but it's somewhat different than simply

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<v Speaker 3>having that debt. They're not paying interest on it. It

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<v Speaker 3>provides them some flexibility. Some of them, not most of them,

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<v Speaker 3>are cancelable. It's known as being an asset-light business. which

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<v Speaker 3>is kind of what was a lot of the attraction

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<v Speaker 3>to the Googles and the Amazons of the world until

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<v Speaker 3>they decided to really invest heavily in their own data centers.

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<v Speaker 2>Anthropic is also dependent on some of these companies in

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<v Speaker 2>another way, right? Nearly half of its revenue is now

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<v Speaker 2>coming from money that Amazon, Google, and Microsoft pass along

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<v Speaker 2>when their cloud customers access Anthropic's AI models.

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<v Speaker 1>Why is that seen as a risk?

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<v Speaker 3>Well, because, you know, they're paying a commission to those

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<v Speaker 3>hyperscalers to get that revenue. They had a great line

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<v Speaker 3>in the S1. They described the cloud providers as, quote, investors, customers,

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<v Speaker 3>distribution partners and competitors.

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<v Speaker 2>All at once.

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<v Speaker 3>You know, obviously, you know, Google and Microsoft and SpaceX

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<v Speaker 3>are all competing with them in the A.I. space while

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<v Speaker 3>at the same time, you know, providing them this computing

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<v Speaker 3>power they need.

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<v Speaker 1>So partners and competitors sounds messy fast.

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<v Speaker 3>It's very much so. And investors as well. And in

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<v Speaker 3>many cases, if you've seen those circular financing diagrams, you know,

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<v Speaker 3>this is this is exactly this.

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<v Speaker 2>OK, speaking of risks, usually the risks in an S1

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<v Speaker 2>are like. we could face new competition from similar businesses,

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<v Speaker 2>or there could be new regulatory changes that make our

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<v Speaker 2>product harder to get. Or I was reading Jersey Mike's

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<v Speaker 2>S-1 filing from earlier this year. It's like food safety risks.

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<v Speaker 2>But Anthropics Risk Prospectus was 94 pages long and included

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<v Speaker 2>some risks I have never seen in an S-1, like

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<v Speaker 2>existential risk to humanity.

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<v Speaker 1>Dave, what stood out to you?

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<v Speaker 4>Well, I mean, the length, as you say, extraordinary, right?

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<v Speaker 4>It's a novel's worth of risks. And the breadth of

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<v Speaker 4>it is fascinating. This is a company that has sort

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<v Speaker 4>of threats from all sides, right? It could be from

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<v Speaker 4>the U.S. government, which has tried to designate them as

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<v Speaker 4>a risk and take them out of being used for

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<v Speaker 4>government contracts over a row with the defense secretary. Then

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<v Speaker 4>you've got, you know, rows around intellectual property rights and

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<v Speaker 4>whether anthropics should be allowed to scrape data from certain sources.

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<v Speaker 4>Then you have things about climate risk. Then you have,

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<v Speaker 4>can we get enough energy? Then we have, can we

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<v Speaker 4>just carry on being the best of this? But the

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<v Speaker 4>most sort of, the one that gives you the most pause,

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<v Speaker 4>I think, is just as a human being, is to

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<v Speaker 4>sort of look and say, when they talk about existential risk,

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<v Speaker 4>and so they're saying things like, our models pose catastrophic

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<v Speaker 4>and existential risks to humanity, particularly if such systems are misused, replicated, weaponized,

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<v Speaker 4>or allowed to operate of a high degree of autonomy.

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<v Speaker 4>And there's this idea that what they're creating could just

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<v Speaker 4>go off the rails.

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<v Speaker 2>And Dave, you made the provocative point that including some

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<v Speaker 2>of these caveats and disclaimers was essentially a tactic to

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<v Speaker 2>weed out the weak investors.

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<v Speaker 1>Explain that.

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<v Speaker 2>Yeah.

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<v Speaker 4>So in the introduction to the S1, there's a passage

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<v Speaker 4>in there talking about how they like to hire people.

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<v Speaker 4>And they describe it as the anti-sell. And they bring

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<v Speaker 4>in a candidate and they say, well, here's all the

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<v Speaker 4>reasons why you shouldn't work here. It's going to be hard.

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<v Speaker 4>There's risks. It might all fail. And they say... Many

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<v Speaker 4>candidates might leave at that point, but the ones that remain,

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<v Speaker 4>they're the ones that we want to hire, the sort

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<v Speaker 4>of anti-sale process. They're sort of doing the same approach

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<v Speaker 4>here with this S1. They're sort of saying, here's all

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<v Speaker 4>the reasons almost why you shouldn't back this, because there's

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<v Speaker 4>all these things that could go wrong, in the hope,

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<v Speaker 4>I think, that the investors they do get will sort

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<v Speaker 4>of be.

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<v Speaker 3>Along for the ride.

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<v Speaker 4>Because one of the things the company's making very, very

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<v Speaker 4>clear throughout this, the founders are going to have control

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<v Speaker 4>over what the company does. They're going to have the

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<v Speaker 4>majority of shares. They're going to call the shots very,

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<v Speaker 4>very clearly. And this is, I mean, that's pretty typical

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<v Speaker 4>of tech companies. We've seen founders, you know, keep control

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<v Speaker 4>in the past. But then they also go on to say,

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<v Speaker 4>you know, there'll be moments when we might have a

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<v Speaker 4>model that's better than any model in the world, but

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<v Speaker 4>we might be decided to hold that back because we're

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<v Speaker 4>worried about the safety and that might harm us commercially

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<v Speaker 4>as well. This company has built its entire ethos on

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<v Speaker 4>being the safe AI company. Now, whether you take that

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<v Speaker 4>on face value or not is a different matter. But,

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<v Speaker 4>you know, this is a company that was born out

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<v Speaker 4>of a group of employees at OpenAI saying, we don't

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<v Speaker 4>like how this is going, we're going to go and

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<v Speaker 4>start our own company. So it's in the sort of

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<v Speaker 4>DNA of the firm. And I think this is the

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<v Speaker 4>case of seeing how that plays out once you hit

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<v Speaker 4>the reality of quarterly earnings and the public markets.

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<v Speaker 2>When we come back, Dave Lee and Mike Regan on

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<v Speaker 2>why Anthropic is going public now and how much is

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<v Speaker 2>riding on its success. Our colleague Shireen Ghaffari made a

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<v Speaker 2>helpful point in one of her recent articles that Anthropic

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<v Speaker 2>is in this interesting position, right? Because on the one hand,

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<v Speaker 2>it's pushing the industry to slow down on AI development,

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<v Speaker 2>prioritize safety. On the other hand, it is moving full

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<v Speaker 2>steam ahead on this IPO. A few weeks ago, New

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<v Speaker 2>York City's comptroller sent a letter to Anthropic CEO Dario

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<v Speaker 2>Amadei asking him to pause the IPO immediately. focus on, quote,

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<v Speaker 2>addressing these unprecedented risks. Why isn't it doing that? Why

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<v Speaker 2>is it pushing ahead with this IPO?

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<v Speaker 3>Well, one really important thing, and it's pretty simple, is

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<v Speaker 3>that there's sort of an unwritten rule in the IPO

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<v Speaker 3>world where if you have a big IPO, you do

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<v Speaker 3>not want to launch it after Thanksgiving. You do not

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<v Speaker 3>want to be competing with investors Thanksgiving, Hanukkah, Christmas, New Year,

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<v Speaker 3>kids vacation plans. So they filed confidentially over the summer,

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<v Speaker 3>meaning they provided the SEC with this document, but the

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<v Speaker 3>public couldn't see it until yesterday. So once they did that,

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<v Speaker 3>the clock was kind of ticking. I think what happened

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<v Speaker 3>is you look at the stock market on any given day,

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<v Speaker 3>if the chip makers are selling off and the AI

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<v Speaker 3>stocks are selling off, it had a lot of people

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<v Speaker 3>wondering like, okay, are they really going to do it

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<v Speaker 3>this year? Will they push it to next year? And

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<v Speaker 3>I think had they done that, that would have been

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<v Speaker 3>sort of a gut punch to the market because even

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<v Speaker 3>if you look at the market reaction yesterday, it wasn't

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<v Speaker 3>a huge, enormous rally in stocks, but it was a

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<v Speaker 3>nice recovery in some of the chip makers and some

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<v Speaker 3>of the other big tech companies that have been beaten

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<v Speaker 3>down and the market indexes as a whole rallied simply

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<v Speaker 3>because this company filed.

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<v Speaker 2>OpenAI has indicated it isn't planning on going public until

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<v Speaker 2>next year. Why is Anthropic ready and not OpenAI?

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<v Speaker 3>I think with both companies, there's not necessarily a super

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<v Speaker 3>urgency to access that equity capital. You look at Anthropic,

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<v Speaker 3>for example, it's raised $ 141 billion. It has $ 131, almost

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<v Speaker 3>$ 132 billion in cash and short-term investments just sitting on

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<v Speaker 3>its balance sheet. So it has a big chunk of

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<v Speaker 3>cash to sort of weather whatever comes in the near future. So,

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<v Speaker 3>you know, clearly they decided, you know, let's get it

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<v Speaker 3>done this year. I don't think we have a clear

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<v Speaker 3>sense of why OpenAI is waiting.

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<v Speaker 4>Yeah, I mean, I think in any of these cases,

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<v Speaker 4>I mean, timing is everything, isn't it, as you were saying?

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<v Speaker 4>And in the case of Anthropic, I mean, they do

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<v Speaker 4>warn that, you know, they've had this wonderful revenue growth.

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<v Speaker 4>I think it was 1,300% year-on-year for the first six

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<v Speaker 4>months of this year compared to last. But they warned

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<v Speaker 4>that that growth might not be sustainable. You know, for

0:11:46.190 --> 0:11:48.750
<v Speaker 4>all we know, they've waited another year's time that some

0:11:48.770 --> 0:11:51.040
<v Speaker 4>of that tailing off might have been evident in the filing.

0:11:51.059 --> 0:11:53.420
<v Speaker 4>And then that makes going public much harder. Missing the

0:11:53.480 --> 0:11:56.780
<v Speaker 4>window to do it can be really sort of fatal

0:11:56.840 --> 0:11:59.720
<v Speaker 4>to doing it at all, actually, in many cases. And,

0:11:59.760 --> 0:12:01.920
<v Speaker 4>you know, what would be interesting to see is how

0:12:02.000 --> 0:12:05.250
<v Speaker 4>damaging it might be to OpenAI to go second. Because

0:12:05.290 --> 0:12:07.490
<v Speaker 4>if this comes out of the gate, doesn't perform very,

0:12:07.530 --> 0:12:09.829
<v Speaker 4>very well, that's going to make it all the harder

0:12:09.910 --> 0:12:10.270
<v Speaker 4>for OpenAI.

0:12:10.660 --> 0:12:14.440
<v Speaker 3>And there clearly is a pretty fierce competition to be

0:12:14.500 --> 0:12:19.540
<v Speaker 3>first to get this capital. Two hours before Anthropix S1,

0:12:19.960 --> 0:12:23.520
<v Speaker 3>Meta came out and said, we're selling a bunch of stuff.

0:12:23.660 --> 0:12:26.640
<v Speaker 3>And they upped it to like $ 98 billion. And you

0:12:26.660 --> 0:12:30.819
<v Speaker 3>just had SpaceX raise $ 86 billion. Alphabet sold a big

0:12:30.980 --> 0:12:34.020
<v Speaker 3>chunk of stock. So there is sort of a first

0:12:34.059 --> 0:12:36.920
<v Speaker 3>mover advantage because At some point, I think a lot

0:12:36.940 --> 0:12:39.219
<v Speaker 3>of people on Wall Street think, well, we're going to

0:12:39.240 --> 0:12:41.960
<v Speaker 3>reach the limit of demand for all this equity.

0:12:42.000 --> 0:12:45.689
<v Speaker 2>Yeah. Is there investor appetite for all these equity raises?

0:12:46.270 --> 0:12:49.829
<v Speaker 3>So far, yes. But I think, you know, the general

0:12:49.850 --> 0:12:52.550
<v Speaker 3>thinking is at some point we'll reach a limit and

0:12:52.570 --> 0:12:54.850
<v Speaker 3>we'll start to see some pushback. And we already have

0:12:54.870 --> 0:12:59.160
<v Speaker 3>seen some pushback on some of the smaller data center IPOs.

0:12:59.360 --> 0:13:02.860
<v Speaker 3>There was an Australian company that actually postponed its IPO plans.

0:13:03.480 --> 0:13:07.740
<v Speaker 3>And there's sort of jitters around the more minor players,

0:13:07.820 --> 0:13:13.429
<v Speaker 3>the neoclouds, as they're called. So these big household name companies,

0:13:13.990 --> 0:13:16.510
<v Speaker 3>I think, are one thing compared to the smaller players.

0:13:16.570 --> 0:13:18.010
<v Speaker 3>But at the end of the day, I mean, we're

0:13:18.050 --> 0:13:21.800
<v Speaker 3>talking about hundreds of billions of dollars of new equity

0:13:21.840 --> 0:13:22.520
<v Speaker 3>being sold.

0:13:23.179 --> 0:13:26.059
<v Speaker 2>What would it mean if the IPO didn't meet expectations

0:13:26.179 --> 0:13:29.000
<v Speaker 2>for the economy, for the stock market, for the AI

0:13:29.070 --> 0:13:32.309
<v Speaker 2>companies that are reliant on Anthropic and for Anthropic itself?

0:13:32.570 --> 0:13:34.850
<v Speaker 4>I think it would be seen as a big signal

0:13:35.309 --> 0:13:39.329
<v Speaker 4>that the returns on this aren't going to be where

0:13:39.370 --> 0:13:43.210
<v Speaker 4>we perhaps thought they might be. I think what's going

0:13:43.230 --> 0:13:46.980
<v Speaker 4>to be an interesting litmus test for some of that

0:13:47.000 --> 0:13:49.459
<v Speaker 4>would be when the tech companies report earnings in the

0:13:49.500 --> 0:13:52.679
<v Speaker 4>next week or so. Because that's the other end of this, right?

0:13:52.700 --> 0:13:54.880
<v Speaker 4>It's all well and good sort of backing the companies

0:13:54.900 --> 0:13:56.550
<v Speaker 4>that are building the technology. But when you get to

0:13:56.590 --> 0:13:58.989
<v Speaker 4>the ones that are deploying it, if they're not seeing

0:13:59.010 --> 0:14:02.690
<v Speaker 4>the return on that investment, well, then that upends the

0:14:02.890 --> 0:14:07.790
<v Speaker 4>whole concept. I think for an anthropic, what's particularly intriguing

0:14:07.830 --> 0:14:09.650
<v Speaker 4>is that this is the first sort of pure play

0:14:09.890 --> 0:14:13.550
<v Speaker 4>AI company, AI frontier lab to go public. I mean,

0:14:13.570 --> 0:14:16.000
<v Speaker 4>we've had SpaceX, which has XAI as part of it.

0:14:16.030 --> 0:14:18.650
<v Speaker 4>But when you're SpaceX, you can offset the cost of

0:14:18.690 --> 0:14:21.890
<v Speaker 4>AI by putting rockets into space, right? And the other

0:14:21.930 --> 0:14:24.980
<v Speaker 4>companies that are big in AI and on the market,

0:14:25.010 --> 0:14:28.380
<v Speaker 4>such as Alphabet and Meta, they have legacy businesses that

0:14:28.440 --> 0:14:32.700
<v Speaker 4>can support the massive expenditures on AI, which is just,

0:14:33.060 --> 0:14:35.340
<v Speaker 4>especially in a company like Meta's case, just burning money,

0:14:35.360 --> 0:14:36.700
<v Speaker 4>but they don't mind. They just want to get ahead.

0:14:37.160 --> 0:14:40.590
<v Speaker 4>Anthropic doesn't really have that option. The product is AI,

0:14:40.620 --> 0:14:45.350
<v Speaker 4>and that's the whole thing. And so I think it'd

0:14:45.370 --> 0:14:47.330
<v Speaker 4>be a really interesting test to see how a company

0:14:47.350 --> 0:14:49.550
<v Speaker 4>like that survives, you know, because I think it's a

0:14:49.600 --> 0:14:53.440
<v Speaker 4>fair assumption that after this IPO, they will go back

0:14:53.500 --> 0:14:55.600
<v Speaker 4>and try and raise more money as they go because

0:14:55.620 --> 0:14:57.910
<v Speaker 4>they're just burning through so much of it. And, you know,

0:14:57.950 --> 0:15:01.770
<v Speaker 4>one of the questions about all the compute they've committed to.

0:15:02.670 --> 0:15:05.480
<v Speaker 4>to buying up. There's two different problems. One might be

0:15:05.520 --> 0:15:07.020
<v Speaker 4>they don't have the money to do it. The other

0:15:07.040 --> 0:15:08.359
<v Speaker 4>problem is they might not be able to do it

0:15:08.420 --> 0:15:11.020
<v Speaker 4>because of the competition for that compute as well. So

0:15:12.000 --> 0:15:14.990
<v Speaker 4>it's such a litmus test for the ability for an

0:15:15.110 --> 0:15:18.290
<v Speaker 4>AI company that's just an AI company to survive.

0:15:18.850 --> 0:15:21.150
<v Speaker 2>Mike, how do you think about the stakes of this

0:15:21.250 --> 0:15:24.850
<v Speaker 2>IPO's success or failure, or indeed the success or failure

0:15:24.890 --> 0:15:29.280
<v Speaker 2>of Anthropic as a company when you think about the

0:15:29.320 --> 0:15:30.080
<v Speaker 2>rest of the economy?

0:15:30.570 --> 0:15:34.590
<v Speaker 3>AI is, you know, the main driving force in the

0:15:34.610 --> 0:15:37.690
<v Speaker 3>stock market and the economy as a whole. Now, to

0:15:37.730 --> 0:15:40.290
<v Speaker 3>Dave's point about the, I think it was 94 pages

0:15:40.330 --> 0:15:44.550
<v Speaker 3>of risk factors, you know, it's all laid bare exactly there.

0:15:45.270 --> 0:15:48.990
<v Speaker 3>What could derail all this, right? The existential risk aside,

0:15:49.490 --> 0:15:51.690
<v Speaker 3>you know, if we all do go extinct, we won't

0:15:51.710 --> 0:15:55.910
<v Speaker 3>be worrying about the stock market. But, you know, the... Peace, finally.

0:15:56.070 --> 0:15:57.450
<v Speaker 4>Right.

0:15:57.910 --> 0:16:01.970
<v Speaker 3>But I think Obviously, the huge risk and the big

0:16:02.010 --> 0:16:05.030
<v Speaker 3>elephant in the room is the midterms coming up. And,

0:16:05.670 --> 0:16:08.790
<v Speaker 3>you know, if Democrats take control of one or both

0:16:09.050 --> 0:16:12.550
<v Speaker 3>houses of Congress, how hard will they push back on

0:16:12.590 --> 0:16:16.660
<v Speaker 3>this massive investment being done in data centers? How loud

0:16:16.680 --> 0:16:19.060
<v Speaker 3>will they ring those bells about the environment, about the

0:16:19.100 --> 0:16:23.280
<v Speaker 3>potential for job loss, about all these risks laid out

0:16:23.320 --> 0:16:26.580
<v Speaker 3>in those 94 pages? Really, the whole letter was trying

0:16:26.640 --> 0:16:31.080
<v Speaker 3>to acknowledge that backlash and claim that high ground as

0:16:31.740 --> 0:16:33.900
<v Speaker 3>we're the one who's going to do this right. You know,

0:16:34.080 --> 0:16:37.780
<v Speaker 3>whether that's enough to placate a Democratic Congress is a

0:16:37.780 --> 0:16:38.320
<v Speaker 3>big question mark.

0:16:42.200 --> 0:16:45.060
<v Speaker 1>This is The Big Take from Bloomberg News. I'm Sarah Holder.

0:16:45.570 --> 0:16:48.110
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0:16:54.470 --> 0:16:56.950
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0:17:03.340 --> 0:17:03.940
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