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Small businesses face an extinction event: Cloudflare CEO

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Small businesses face an extinction event: Cloudflare CEO

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338 segments

0:01

[music]

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>> Cloudflare is riding the artificial

0:04

intelligence tailwind as generative AI

0:07

drives a shift in business for that

0:08

cloud company. Yahoo Finance's Gator

0:10

Baiter Brian Sozzi sat down with

0:12

Cloudflare's CEO Matthew Prince at Can

0:15

Lions to learn more about the growth

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ahead.

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>> Cloudflare is is firing on all

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cylinders. It's just been amazing to see

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that as we've built up what is one of

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the world's largest networks that more

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and more companies are trusting us to

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provide their network security to make

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sure that they're fast online. But I

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think the thing that's been kind of the

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real unlock for us and the reason why

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we're here in Can is the internet's

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business model is changing. Um Google

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defined the business model of the

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internet for the last 28 years and um

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the business model of the next 28 years

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is going to be different and I am here

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talking to brands, talking to

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advertisers, talking to uh companies

0:51

about what that future business model is

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going to look like and I think

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Cloudflare is going to play a role in in

0:55

defining what it is.

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>> I'm glad you mentioned that because I

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was listening to I think it was an

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investor day for you all uh in earlier

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June and you told me what you said at

1:02

the time on the investor call or analyst

1:05

day, whatever it is. Um the internet

1:06

will be different over the next 10

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years. What or how will the internet be

1:10

defined over the next decade?

1:11

>> You know, I think the internet's had

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platform shifts before. Uh we went from

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a browser to social to mobile.

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AI is a platform shift. The way that

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consumers are consuming information is

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through that AI interface and that's the

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way that they're consuming information

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today, it's the way that they're going

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to

1:30

uh do commerce going forward and the

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adoption rate has been just amazing. A

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third of the world's population is

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already using generative AI tools in

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just 3 and 1/2 years. Um that to give

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you some sense, that's twice the

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adoption rate that we saw with mobile,

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which was the last fastest growing

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technology that's out there. And so as

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these things become the the place where

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we consume information, what that means

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is if you're a platform, if you're Yahoo

1:54

Finance or or or the New York Times or

1:56

or anyone else,

1:58

fewer eyeballs are getting back to you.

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And so the old internet business model

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of showing advertising or selling

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subscriptions isn't going to work in

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this new world where information is

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consumed in the AI platforms themselves.

2:10

Um your agents don't click on ads. And

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so that's going to require us to find

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some other way to make sure that content

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creators like yourself and and others

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continue to get compensated for what is

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critical content that they're creating.

2:22

>> What is the way? What is the way towards

2:23

survival?

2:24

>> You know, I

2:26

I I I don't know that I know exactly the

2:28

answer. But I But I have a feeling it's

2:29

a couple of things. So first, um for the

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first time in history, 2 months ago,

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automated traffic, bot traffic, agent

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traffic online passed human traffic. And

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if it continues to accelerate at the

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rate that we're seeing, in 5 years it

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will be a thousand times more automated

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traffic online than there is human

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traffic online. In other words, humans

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will be a rounding error on the internet

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uh effectively. What that means is

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there's going to be a whole bunch of

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additional infrastructure, which is

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needed in order to build that up, in

2:59

order to support it. And someone's going

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to have to pay for that. And so I think

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that there's going to be some version,

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which the internet consumed from the

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very beginning, of if an agent is

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accessing a page, there's going to be

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some kind of micro payment that goes

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back. But to give you some sense,

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Cloudflare, um we process about half a

3:14

billion internet requests per second

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all all day long. We think between 1 and

3:19

10% of that will be appropriate for some

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sort of microtransaction, which means

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that we have to build a little financial

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system that can do tiny little

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transactions at day one, 10 million

3:30

transactions per second, to scale very

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in a really reasonable time to 100

3:34

million transactions per second. To give

3:36

you a sense, Visa, the largest payments

3:38

network in the world, does about 18,000

3:40

transactions per second. So there's a

3:41

lot of really cool technology that we

3:43

have to build in order to support this

3:45

future. But I think micro payments, I

3:47

think having a marketplace for content,

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making sure that you get to choose who

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gets access to that content, and then

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maybe, you know, an ads platform but

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directed at agents rather than being

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directed at humans. These are all things

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that we're here at Can talking about

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that our team is working on and thinking

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about, and they're going to be necessary

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if we're going to have a an a internet

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in the future that is able to support

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the agentic traffic that we're seeing.

4:09

>> It was a couple months ago. I'm sitting

4:10

at my desk this early morning, and the

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news crossed of your

4:13

RIF, reduction in force. And I sat back,

4:16

and I'm like, all right, I'm not going

4:17

to send Matt an email because it's a

4:19

tough day, and I get it. Don't want to

4:20

be that guy. But I I'm like, this

4:22

company is doing really well.

4:24

>> Yeah.

4:24

>> Why would you need

4:26

to let go of 20%? Like that is That's a

4:29

That's a large number for a company

4:30

doing very well. And where did you Where

4:31

did these people come from?

4:32

>> Yeah, so so So, first of all, incredibly

4:34

emotional day. A lot of amazing people

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who who we parted ways with. Um and and

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and again, it's not fashionable right

4:42

now to say this, but it really was

4:44

driven by AI. And what we found was

4:47

we are

4:48

If you you go back to old Peter Drucker

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books, like on like, you know,

4:52

>> Nightmares of college. Thank you for

4:53

doing that. I was having a good time

4:55

here, you know.

4:55

>> Yeah, sorry. Um but, you know, he talked

4:57

about there are sort of three different

4:59

functions within any organization. There

5:01

are people that build products,

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there are people that sell products, and

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that's where really kind of the business

5:07

drives value is in in building and

5:09

selling products. But then there's a

5:11

whole bunch of other people inside of an

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organization that actually just measure

5:14

things all the time. The auditors, the

5:16

finance people, you know, a bunch of the

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the marketing team, all the operations

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roles that are there. And what we've

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found over the course of the last couple

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years is that a lot of these tools are

5:27

able to better measure

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than humans were before. So, I'll give

5:31

you an example. Um we have an internal

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audit function just like any public

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company does. Yeah, we have a hundred

5:36

plus risk factor areas, and every

5:39

quarter we would pick sort of six in

5:41

order to audit, and and we would go

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through that process.

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That was constrained because it required

5:47

people in order to do it. We've now

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moved to we're moving to a world where

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we can take all of those different risk

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areas and audit them continuously all

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the time. And we can only do that

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because we have built these tools. The

6:00

other thing is powerful is the number of

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direct reports that can work for a

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manager scales significantly more as you

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have more tools to do that. So a lot of

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again, great middle managers on our team

6:11

who are going to be amazing senior

6:13

managers at a startup or or another

6:15

organization. A lot of them we were just

6:17

like we need to flatten the

6:18

organization. We need to go from six

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direct reports per per manager to up to

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12. That's better for everyone. We found

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that this has made us more productive.

6:26

We found that it's it's it's it's just

6:27

accelerating our ability to deliver

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products. And we are hiring like crazy

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builders and sellers, but we're using

6:34

the machines in order to do much more of

6:35

the measuring.

6:36

>> middle managers under pressure, those

6:38

jobs will get re-purposed. But

6:39

>> But yeah, they'll they'll they'll move

6:40

again, these are amazing people. They're

6:42

yeah, I mean and and and I think that

6:44

the thing is when I talk to peers

6:46

everyone says, yeah, I'm going to do

6:48

that. I'm we're going to have to do the

6:50

same thing. But they're like, I'm going

6:53

to do it when everyone else does it. And

6:55

honestly, I think that that's that's

6:57

poor leadership because in 6 to 12

7:00

months when we're going to see more of

7:02

these layoffs, it's going to be much

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harder for these those people laid off

7:05

at that time to get a job. It'd be

7:07

better for the CEOs. They can hide

7:08

behind everyone else and just say,

7:09

listen, I'm a sheep in the flock and

7:11

everyone's doing it, so I'm doing it,

7:12

too. I think once we realized it was

7:14

something we had to do. We made the

7:15

decision it was the kindest thing that

7:17

we could do for the team was to do as

7:18

early as possible. And we've worked

7:19

really hard to make sure that those

7:21

people then get placed with great roles

7:22

cuz they're great people.

7:24

>> I'm thinking, you know,

7:26

a lot of these middle managers, they can

7:27

get through it. But like what happens to

7:29

these small businesses up and down this

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boardwalk who don't have the capital to

7:32

invest in AI? To me, they're going to

7:34

get absolutely pummeled. Like what is

7:35

their next 5 years look like?

7:37

>> You know, last year when I was at

7:38

Cannes, I talked about how the future

7:40

media was really at risk. We really

7:41

needed to reinvent um the business

7:43

model. What I'm optimistic about is over

7:45

the last year we've actually kind of got

7:46

some good ideas and some traction and

7:48

and we're seeing the big media companies

7:50

like Condé Nast and and People Ink are

7:52

doing these really good deals that are

7:54

creating new revenue streams for them.

7:55

And I'm I'm proud of the fact that we've

7:56

helped catalyze some of that. This year

7:59

what I'm talking about is how dangerous

8:00

to small businesses AI is going to be.

8:03

Think about it this way. In the future

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your agent is going to be where you do

8:07

more commerce. And if you think about

8:08

why why do you do business with a small

8:10

business today? Usually it's because

8:12

it's it's time efficient, it's

8:14

convenient for you. So you might stop by

8:15

the local bodega when you're, you know,

8:17

in New York. Or because you have some

8:19

emotional attachment to that place. Your

8:22

agent doesn't care about any of those

8:23

things. It's going to literally just

8:25

say, "Hey, I'm going to find the best

8:27

deal for the best product wherever it is

8:30

in the world. And if I have to search

8:32

through thousands of web pages, I can do

8:34

that in a second."

8:35

>> It's like a killer. It's just like

8:36

absolutely cutting through the internet.

8:37

>> And so what I am deeply worried about is

8:40

in that world, like I think the big

8:41

brands are fine cuz they have an

8:43

established relationship with consumers.

8:45

They have a reputation which is online.

8:47

But how does a new entrant, how does

8:49

someone who is says, "Hey, I'm just

8:51

hanging my shingle up for the first

8:52

time." How do they get the reputation?

8:54

How do they have a brand which actually

8:56

stands out? And if we don't create a way

8:57

for that to happen, if we don't have new

8:59

entrants that get into the marketplace,

9:01

then we're going to see massive

9:02

consolidation over time. And that's bad

9:04

for everyone. We want to have anyone be

9:06

able to survive. And so I'm spending a

9:08

lot of time meeting with, you know, the

9:10

leaders at at Visa, American Express,

9:12

Shopify, Salesforce saying like, "We've

9:14

got to do something in order to make

9:16

sure that every small business has the

9:18

tools in order to succeed."

9:19

>> is kind of is there there are no small

9:20

businesses.

9:21

>> That's right. And and we're again I was

9:22

I was meeting with the the um the guy

9:24

who used to run uh PayPal up until

9:26

recently and he ran small businesses at

9:28

Intuit and he said, "I worry that in the

9:30

future there are five companies left.

9:32

One that holds the real estate, uh one

9:34

that holds the money, one that builds

9:36

things, one that ships things, and an AI

9:38

company. Now, that's not what's going to

9:39

happen, but I do think that AI, given

9:42

its natural kind of tendencies, is this

9:44

massive consolidating force. And so,

9:46

what we're playing for is not a world

9:48

where there's, you know, two to five AI

9:50

companies. We should have 500,000 AI

9:51

companies. Not a world where there's,

9:53

you know, a very small number of media

9:55

content creators and publishers where

9:57

it's consolidated massively, but where

9:58

everyone can actually they have a good

10:00

idea, if they have a story to tell, can

10:01

reach a global audience. And not a world

10:03

where we have a few mega like

10:06

corporations, but one where anyone with

10:07

a small business, wherever you are in

10:08

the world, can do what the internet only

10:10

originally empowered them to do. We

10:12

can't lose that, and that's the world

10:13

that we're playing for.

10:14

>> Matthew, good to see you. You mildly

10:15

scared the hell out of me, but we're

10:16

going to we're going to leave it there.

10:18

We continue this conversation in Davos,

10:19

hopefully. All right, good to see you.

Interactive Summary

Cloudflare CEO Matthew Prince discusses how generative AI is shifting the internet's business model from human-centric to AI agent-centric. He highlights the rise of automated traffic, the need for new monetization strategies like micro-payments, and explains Cloudflare's decision to restructure its workforce to focus on productivity by leveraging AI tools. Prince also expresses concern about the potential for massive consolidation in the industry and the existential risk AI poses to small businesses, advocating for a future that protects entrepreneurship and diverse market participation.

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