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LUCY GUO: The Most Common Success Advice That's Secretly Holding You Back

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LUCY GUO: The Most Common Success Advice That's Secretly Holding You Back

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1641 segments

0:00

I think that being delusional is

0:01

necessary to be a founder. You really

0:03

have to believe I'm going to be part of

0:04

the 01% that's actually going to build a

0:07

unicorn.

0:08

>> What advice are people being told about

0:10

success that you think is outdated?

0:13

>> I think that college is no longer

0:14

needed. That being said, I believe that

0:16

your network is your net worth and

0:17

there's no better place to go than

0:19

college to expand your network.

0:21

>> So, you're saying go to college, but

0:23

don't go there for the degree.

0:24

>> Exactly.

0:26

>> How do you think the best ideas are

0:28

found? Ideas are cheap and execution is

0:30

everything.

0:37

Hey everyone, welcome back to OnPurpose.

0:39

Today I'm sitting down with Lucy Guo,

0:41

entrepreneur, investor, co-founder of

0:43

Scale AI, and one of the youngest

0:45

self-made female billionaires in the

0:48

world. Today we dive into the new rules

0:50

of success, why speed has been a

0:53

greatest advantage, and how AI is

0:55

reshaping opportunity. Please welcome to

0:57

OnPurpose, Lucy Guo. Lucy, I am so happy

1:01

to be with you here because not only do

1:03

we know each other a little bit offline,

1:05

we've been to some pretty crazy places

1:06

together. So, I saw you last year on

1:10

Luminara on the yacht trip, which was

1:13

amazing. Yes.

1:13

>> And then I saw you at my house where we

1:16

did a fundraiser event. Then I saw you

1:18

at the Dior party. It's feels like our

1:20

lives. And now we're seeing each other

1:23

in camp next week.

1:24

>> Yeah, exactly. It's awesome.

1:25

>> Thank you for having me. Oh, no. I'm so

1:27

excited for my audience to learn from

1:29

you. I think that right now we're living

1:31

at such an exciting time where so many

1:34

young people are driven. They're

1:35

ambitious. They want to do incredible

1:38

things. You've already lived that.

1:39

You've done it. Uh you're going on to do

1:41

more. I know you've shared some ideas

1:43

with me. So, I can't wait to get inside

1:44

your brain today. This is going to be

1:46

fun.

1:47

>> Yeah. I wanted to ask you the first

1:48

question I have for you is what advice

1:51

are people being told about success

1:53

today that you think is outdated? I

1:56

still think that college is extremely

1:58

outdated. I think that we're taught to

2:00

go study and then get a traditional job.

2:03

Um, but especially in the world of AI, I

2:05

think that college is no longer needed.

2:07

That being said, I believe that your

2:08

network is your net worth. And there's

2:10

no better place to go than college to

2:12

expand your network because college is

2:14

really the first time and only time in

2:16

your life where you're going to be

2:17

thrown into a world where everyone wants

2:20

to make friends. No one knows each

2:21

other, right? So, everyone's open to

2:23

this like emotional connection. I always

2:25

tell people like I actually think one to

2:27

two years of college is extremely useful

2:28

because that is where you're going to

2:30

build your network and you're going to

2:31

build the deepest network because you

2:33

their most talented friends are always

2:35

going to get these like multi-million

2:36

dollar job offer straight out of

2:38

college. But um if you're able to have

2:40

that emotional connection like

2:42

everything is sales from retaining your

2:44

employees to selling them to get you

2:45

them to join your company and uh college

2:48

is the best place where you can like

2:50

really build that emotional connection

2:52

because everyone is open to it

2:53

afterwards. Like you may go work at a

2:55

company, you may join like you know

2:57

different uh like interest groups etc.

3:00

But um it's just not at the same density

3:03

as colleges. So you're saying go to

3:06

college, but don't go there for the

3:08

degree.

3:08

>> Exactly.

3:09

>> Right. Go there for the networking, the

3:11

groups of people, the emotional

3:13

connections, practicing things.

3:15

>> And I think college is a really great

3:16

place, especially in classes, to like

3:17

learn a lot and learn how to think, but

3:20

you should apply those skills to

3:22

practical skill sets or you should apply

3:24

the skills that you learn into practical

3:26

use cases. So I would learn how to think

3:28

in these classes and then I would start

3:30

using AI tools, right? and really

3:33

accelerate what you can do and be that

3:35

like 10x executor earlier on in life.

3:38

>> Where did you go to college again?

3:39

>> I went to Carnegie Melon.

3:40

>> Did you go to college with anyone that

3:42

you're still friends with? What what are

3:43

your peers doing now? Like what else

3:45

have they done?

3:46

>> Straight out of college, I had actually

3:47

hired um the smartest people that I met.

3:50

So like you know my TA, my computer

3:52

science little like had this like it's

3:54

not a sorority little but like within

3:55

the CS program um because they were just

3:57

like top of their class, right? Um, so

3:59

that was a perfect example of like, hey,

4:00

this is emotional sales and this is

4:02

emotional retention. Um, when I had

4:04

dropped out, I had actually met a lot of

4:05

people within the college network, not

4:07

my specific university, but like within

4:09

the United States through hackathons.

4:10

So, I'm still friends with them and

4:12

these are people that I've actually

4:13

invested in too after like, you know,

4:15

hiring them. They went on to go build

4:17

their own companies.

4:18

>> Um, so I think that's just a perfect

4:19

example of like how they were ready to

4:21

like, you know, open up and be friends

4:23

with me. And by maintaining those

4:25

connections, I was able to hire them as

4:27

my employees, retain them, and then

4:28

support them when they went to go build

4:29

their own companies.

4:30

>> Wow. That that's so fascinating that you

4:32

were able to not only maintain those

4:34

relationships, but they become mutually

4:37

beneficial for everyone.

4:38

>> Yeah.

4:38

>> And it's a really unique way to look at

4:40

college actually because I think right

4:41

now you have the anti-olgenda

4:44

>> and then you have people saying you have

4:45

to go to college because of the old

4:47

reason. So it's an interesting one. I

4:49

also wanted to ask you what's a habit

4:51

that you think ambitious people think is

4:53

going to make them successful but

4:55

actually is slowing them down or holding

4:57

them back.

4:58

>> So this is actually probably an

5:00

interesting one. I think that ambitious

5:02

people have this mindset like I want to

5:04

learn from the smartest people because

5:05

that makes sense, right? So they gather

5:07

all the mentors that they have possible

5:08

and then they enter paralysis when it

5:10

comes to decision-m so they ask all the

5:13

mentors around them um instead of

5:15

listening to like their own gut. And if

5:17

I had done that, scale actually would

5:18

have never started because I had a

5:21

decision paralysis when I was deciding

5:23

whether to leave Snapchat versus go

5:24

build a company. I gathered all my

5:26

mentors. I asked them like, "Do you

5:27

think I should stay at Snap or go do my

5:30

own thing?" And every single one of

5:31

them, and I mean every single one of

5:33

them told me to stay at Snap because

5:34

Snap was in its hyperrowth stage and

5:36

like it was, you know, about to go

5:37

public. Uh people thought I was

5:39

absolutely insane given that I was on

5:42

this extremely special team with only 10

5:44

people and I think I would have entered

5:46

decision paralysis if I were to have

5:48

listened to my mentors. So I ended up

5:50

just listening to my gut and optimizing

5:52

for learning instead because I did feel

5:54

like my learning had become stagnant at

5:56

the company. But I think that extremely

5:58

smart people constantly want to learn

6:00

from others so they find the smartest

6:02

people and they ask almost too many

6:04

questions. It's better to make an

6:06

imperfect decision but move forwards

6:08

because you can change your path than to

6:11

enter decision paralysis.

6:12

>> I feel like any good decision I made in

6:15

my life has often been opposed to some

6:18

of the smartest people in my life

6:20

because you feel it internally.

6:21

>> Exactly. And I think investments are

6:23

very similar, right? Because you have to

6:24

go against the grain to make a good

6:26

investment. Like Airbnb I think is a

6:28

great example and Uber is a great

6:29

example. Like no one thought it would

6:30

work but the investors that thought it

6:32

was work, they went against the grain.

6:33

And I think that's when the best

6:35

decisions are made.

6:36

>> Did you have to give up like did you

6:37

have equity? Did you give up stock,

6:38

shares? Like were you giving up like a

6:41

ton of money too to go and do your own

6:42

thing?

6:42

>> So I was giving up a lot of money. I

6:44

wouldn't call it life-changing money for

6:46

me per se, but I think it was

6:47

life-changing money for other people,

6:49

especially cuz Snap's vesting schedule

6:50

at that point was like 10 20 30 40 um

6:52

which is a very unique vesting schedule.

6:54

So um that meant that I was leaving the

6:56

majority of my equity on the table.

6:58

>> Wow. So you would have had to really

6:59

feel a sense of inner confidence that

7:01

you had an idea. This goes back to you

7:04

are like the average of the people you

7:05

hang around with. And because I was in a

7:07

steel fellowship network and all my

7:09

peers were uh founders that had either

7:12

raised tens of millions of dollars or

7:14

had built billion-dollar companies, um I

7:16

really did believe that I could be one

7:18

of those people. Um I think that being

7:21

delusional was necessary to be a founder

7:23

because if you're building a venture

7:26

scalable business, you really have to

7:27

believe like I'm going to make it. I'm

7:28

going to be part of the 01% that's

7:30

actually going to build a unicorn. Um, I

7:32

do think that there are other businesses

7:34

like lifestyle businesses that are much

7:35

more easier to become successful because

7:38

you're not shooting for the stars,

7:40

right? Like if you're making like less

7:42

than 100 million a year for venture,

7:44

that's not great. But if you're doing

7:46

that like 10 million a year as an

7:48

individual, like that can support you

7:50

for the rest of your life. If you were

7:51

22, you had no money, no followers, and

7:55

you felt like you had no connections,

7:57

what would you do in the next 30 days to

7:59

change the trajectory of your life?

8:01

>> If I were 22, uh, I would actually go

8:04

live on campus at different colleges

8:06

because I feel like I would be young

8:08

enough to do so, where I could pass off

8:09

as a college student. That's actually

8:11

how I was able to gain kind of a network

8:13

outside of just Carnegie Melon. um where

8:16

I had lived on Menllo Avenue at USC and

8:19

like kind of just hung out out at USC as

8:22

like a student. I was you know in San

8:24

Francisco and I was hanging out at

8:25

Stanford as like a student per se and

8:28

when you blend into the college

8:29

community like you will just start

8:30

getting invited to things whether it's

8:32

like fraternity parties or hackathons

8:34

etc. Um I would also like definitely

8:36

continue to go to hackathons because uh

8:38

hackathons are great. It attracts a

8:40

certain type of student that wants to do

8:41

something over the weekend that doesn't

8:43

involve partying, right? Like they are

8:45

side questing to build and learn. And

8:47

when you go to these hackathons,

8:49

generally like all the surrounding

8:50

colleges go as well. So like M hacks

8:53

attracted like pretty much all the East

8:55

Coast colleges. So did Pen Hack, so did

8:57

HackMIT. So you're not only meeting

8:59

people from that college, but all the

9:01

smartest students from different

9:02

universities. So wait, you were you

9:05

weren't pretending to go to other

9:06

colleges. You were just hanging out at

9:08

other colleges

9:09

>> pretty much. Yeah.

9:10

>> And so then you got the benefit of

9:11

building your network in those colleges

9:13

too.

9:14

>> Yeah.

9:14

>> Did you do that because it was fun or

9:16

did you do that because you knew it

9:18

would pay off in the long run? Like what

9:20

was your mindset as a 22? I guess when

9:22

you were at college you were younger

9:23

than that. What was your mindset as a

9:24

college student?

9:25

>> Specifically when I had dropped out um

9:28

and this app completely failed before

9:30

the te fellowship. Um, I was going to

9:32

build Door Dash. Actually, uh, I built

9:33

Door Dash at a hackathon and then, um,

9:36

in between the hackathon and when I

9:38

decided to go build a company, u, Door

9:40

Dash got built. So, I was like, great, I

9:42

need a twist on it, right? So, the twist

9:43

was, okay, let's have people cook food

9:45

for other students and deliver it versus

9:46

restaurants. This has many, many issues

9:48

starting from like food safety. It's

9:50

completely illegal, whatever. But I

9:52

launched at Carnegie Melon and it did

9:53

well and I was like great, I need to

9:55

like expand other colleges. So that was

9:57

a mindset in going to live in other

9:59

colleges and like you know really get in

10:01

the community so I can convince other

10:03

college students at these universities

10:05

to cook food for like their fellow

10:07

students and college is a really great

10:08

place to do it because um because it's

10:10

so high density like you can just make a

10:12

batch of cookies for example and run

10:13

around campus and deliver it to hundreds

10:15

of students and people were making like

10:16

$100 an hour. It was great.

10:18

>> Yeah.

10:19

>> Very illegal. Don't do it. Don't build

10:21

it anymore. How did you feel when you

10:25

create your version of Door Dash at a

10:28

hackathon and then you see the real idea

10:31

happen?

10:31

>> Honestly, I think the ideas are cheap

10:33

and execution is everything. So, for me,

10:35

it's like, okay, cool, whatever, right?

10:37

Like Uber wasn't the first, but they

10:39

executed extremely well. So, um I didn't

10:41

like feel any resentment. I was just

10:43

like, okay, cool. Like, this is a great

10:44

app I can use. Like, let me think of

10:46

something else.

10:47

>> Yeah. I think that's what's so

10:48

fascinating about high achievers like

10:49

you where a lot of people think that the

10:51

idea is the value and when you see

10:53

someone do it you're like oh I could

10:55

have done it I could have done that and

10:57

it's like well no not really because

10:58

actually what it showed you is you've

10:59

got had a good idea someone went and did

11:01

it already but that means you could find

11:03

another good idea

11:04

>> exactly there's literally billions of

11:05

people on this earth like people have

11:06

ideas all the time like people execute

11:08

all the time like you can easily hire a

11:10

developer in India etc get it done cheap

11:12

now you can use AI and like use lovable

11:14

replet etc and like develop your idea

11:16

But um execution is everything.

11:19

>> Where do you think young people waste

11:21

most of their time when they're building

11:23

their career?

11:24

>> I think young people are wasting most of

11:25

their time working at these larger

11:28

companies um because they have golden

11:29

handcuffs. Because when you're smart,

11:31

you're literally getting paid millions

11:33

of dollars per year, right? Which is

11:35

extremely hard to let go of when you

11:37

want to leave. They add in stock, they

11:39

add in cash, they add in bonuses. Um, I

11:42

know some of the most talented people

11:43

that I think could have built unicorn

11:45

companies that ended up just staying at

11:47

Snapchat for 10 years because they just

11:49

kept on getting equity packages, which I

11:52

understand from a different perspective

11:54

cuz it is like, you know, life-changing

11:55

money over the course of 10 years, like

11:57

you're making like what, eight figures.

11:58

I don't want to say their soul because

12:00

the work is still interesting, but

12:02

they're trading off what is like

12:04

extremely life-changing money, like

12:06

generational wealth, and like working on

12:09

something that they want to do, like

12:11

that one project, passion, idea that

12:13

they have uh in exchange for cash.

12:15

>> But do you think everyone could be an

12:17

entrepreneur?

12:18

>> I think everyone can be a certain type

12:19

of entrepreneur. It just depends on like

12:21

how much of an entrepreneur do you want

12:22

to be? Like are you trying to build a

12:23

$5,000 a month business? Like yeah,

12:25

anyone can do that. My friend literally

12:27

prompted a chat to create a business

12:29

with like a $50 budget and it actually

12:32

created business that makes I think a

12:33

few thousand a month.

12:34

>> Wow.

12:35

>> Yeah. Yeah. The research I found a

12:36

domain name and designed a really crappy

12:38

logo. I think that like anyone can be an

12:41

entrepreneur but like what kind of

12:42

opportunity like what level are you

12:44

trying to like shoot for in the sky?

12:46

>> I guess the people that you're saying

12:47

like they could have quit their job and

12:49

I guess and golden handcuffs of course

12:51

there's different levels of it. So, even

12:54

where I grew up, I remember I was trying

12:57

to leave my consulting job, which felt

13:00

like golden handcuffs at the time. I was

13:02

making like £45,000 a year, and that

13:05

felt like golden handcuffs at the time

13:07

because I was like,

13:08

>> that at least pays my bills and pays for

13:10

my rent. I don't know what I'd do

13:12

without it. When someone's in that

13:14

position, how should they consider the

13:17

next move? Like, do you just quit and go

13:20

all in? Do you come up with an idea

13:21

first? like how do you think about the

13:23

phases and trajectory of building

13:25

something when you have golden

13:27

handcuffs?

13:27

>> What I had personally done was I was

13:29

working on side projects and after I

13:32

received investor interest, that's when

13:34

I said I'm going to quit and go build.

13:36

Um I think that when people hedge too

13:38

much as an investor, I don't think

13:40

they're serious where they want the

13:43

money inside their bank before they

13:45

actually quit their job. So I would say

13:47

work on weekends or like you know after

13:49

work work on side projects like get some

13:51

traction because that traction will turn

13:54

into investor money but you don't really

13:56

want to tell investors like I haven't

13:58

really quit my job yet because it will

14:00

make them feel or you can say that but

14:03

you should make it known that whether or

14:05

not you get the money you will quit your

14:07

job or at least just say that. I don't

14:09

know because I think you don't want them

14:11

to think that you're not serious. I

14:12

think people always get caught between

14:14

that kind of like catch 22 of like do

14:16

you quit first and then you find what

14:18

you want to do or do you find what you

14:19

want to do and then build it.

14:20

>> It is a sacrifice to derisk but

14:23

de-risking does make sense. So if you're

14:24

able to work on your side projects over

14:26

the weekend after work etc. Like yeah

14:29

you won't be spending as much time with

14:30

your friends but you're also derisking

14:32

your life essentially. And I do think

14:35

that like once you have an MVP with

14:37

traction which you don't need to quit

14:38

your full-time job to get like you will

14:40

be able to fund raise. How do you think

14:42

the best ideas are found?

14:44

>> I think the best ideas are found when

14:45

you're solving a problem for yourself

14:47

because there's so many people in the

14:49

world that if you're building for

14:50

yourself, other people are going to have

14:52

that problem and then whether or how

14:54

large of a company it can be. It's just

14:56

a function of how many people also have

14:58

your problem and how much are they

14:59

willing to pay. But you'll know exactly

15:01

what to build and then you'll be able to

15:02

use the product yourself and be able to

15:05

figure out which features to build, what

15:07

needs to like how to innovate, etc. So I

15:10

think the best companies that I've

15:11

invested in and the best companies that

15:13

I have built have all been problems that

15:15

I've solved for myself

15:16

>> and that's where people should start.

15:18

>> Absolutely.

15:19

>> I think today everyone's now thinking

15:20

how do you build the next billion dollar

15:22

company

15:23

>> and that's almost like the most

15:24

>> trillion dollar company. It might just

15:26

be like a small problem that you're

15:27

solving for yourself but you decide to

15:28

expand on the idea afterwards.

15:30

>> I've heard you say Lucy that your

15:32

biggest advantage is your speed. And I

15:35

wanted to ask you what's a decision that

15:37

people waste six months on in business

15:40

that they should figure out in six

15:41

minutes.

15:42

>> So I think the thing that people waste

15:44

the most time on is actually just

15:46

product development and like design. Um

15:48

because when you go to a large company

15:50

and you see how long it takes to design

15:51

small features, it could be months to

15:53

years. Um because they want the UX be

15:55

perfect. But like a common misconception

15:57

is that the UX needs to be perfect for a

15:58

product to be adopted. I actually highly

16:00

disagree. People will go through bad UX.

16:03

people will deal with bugs if they want

16:05

the product badly enough. Like for

16:07

example, let's say there's um the new

16:09

iPhone, right? And like you're checking

16:11

it out and it just keeps on bugging and

16:12

it's like, "Okay, cool." Like the

16:13

payment didn't go through, the payment

16:14

didn't go through. You're going to keep

16:16

keep clicking that payment button like a

16:17

100 times until it goes through. Like

16:19

you're dealing with the bad bugs because

16:20

you want the product badly enough. So I

16:23

believe the best thing to do is just

16:24

release 90%. Like you can design I think

16:27

90% good UX in 1 to two days and then

16:30

just have the engineers build it, ship

16:32

it and then see if it's adopted. If it's

16:34

adopted then iterate on it until it's a

16:36

good product. There's very very few

16:38

products I think that need perfect UX

16:41

for it to get adopted. Um most products

16:44

out there like if people want it they

16:46

will buy it. People feel like they need

16:47

to build the full product in order to

16:49

sell it but my philosophy has always

16:51

been like create landing pages. Like if

16:52

you're building a B2B SAS product, like

16:54

make a landing page and start doing

16:56

calls. See if you can get LOI signed. If

16:58

it's like a low enough price point, see

17:00

if people enter their credit cards to

17:01

like save a spot on like the page. Um,

17:04

if you're building like even a like DTOC

17:07

product, I say sell it and then see how

17:09

much you actually need to produce. And

17:10

if you're late on orders, just give the

17:13

customer another free like t-shirt or

17:15

something or whatever you're building to

17:16

make them feel happy and like not be

17:18

upset that the order was late. That way,

17:20

you're actually testing demand for the

17:22

product before wasting so much money and

17:24

so much time developing just for it to

17:26

flop.

17:27

>> So many people I see when they're

17:28

launching something, they're spending

17:29

all the time on the logo and the font

17:30

and the color and all these types of

17:32

things. And actually, you're saying,

17:34

"Well, put it out there and see if

17:36

people even sign up and even care about

17:38

it. And if they do, then you've got all

17:40

the time and money now to actually go

17:42

and build the real thing." What What's

17:44

our addiction to perfectionism? Like,

17:46

why do we do that?

17:47

>> I almost think it's an excuse. I think

17:49

that people believe that something needs

17:51

to be perfect in order for it to work.

17:53

And when it's not perfect, they blame it

17:55

on the fact that it's not perfect. And I

17:57

see this with tech founders all the

17:58

time, too, where it's like, okay, cool.

18:00

Like, we just need to AB test our way

18:02

into it being perfect for the product to

18:04

work. But sometimes the sum of all parts

18:05

doesn't equal whole, right? Like, you

18:07

can AB test to have higher signup rates,

18:09

then like higher like engagement, etc.

18:13

But at the end of the day, like there's

18:15

only so much that can fix. like you

18:17

probably need an entirely new feature

18:18

which is not really AB testable. Yeah, I

18:21

think that it's it really is just an

18:22

excuse.

18:23

>> What's the difference between a good

18:25

risk and a bad risk?

18:26

>> I mean, I think it's all a function of

18:28

like um what are the consequences,

18:30

right? I generally believe that a lot of

18:35

products could not have been created

18:36

without taking risks. So, for example,

18:38

like I think Uber obviously didn't

18:40

really listen to anyone and um they

18:43

became so big that now it just exists. I

18:46

was actually talking to Stripe founders

18:48

and I don't remember what rule they

18:50

broke but even Stripe apparently broke

18:53

some rules and then they just became too

18:55

big to fail and like they just had to

18:57

make it work. So yeah, it's a function

19:00

of just consequences.

19:02

>> But how do you evaluate that when you

19:04

don't know? cuz I guess we all start

19:06

thinking oh god if I do this then the

19:08

opportunity cost is this or this is the

19:10

risk level. I generally evaluate just

19:13

based on like two criteria which is like

19:14

is this going to be lifechanging for me

19:17

and um am I optimizing for learning

19:19

because if I'm not optimizing for

19:21

learning I'm just not going to do it

19:22

because I think that the knowledge I

19:23

gained doing the next thing even if I

19:26

like you know lost a few million at snap

19:28

for example like I was going to learn

19:29

enough being a founder that I can take

19:31

those skill sets and like you know

19:32

either go get a new job that pays me

19:35

better and I'll be more successful in my

19:36

role or build another company and then

19:39

the life-changing money thing was also

19:40

kind of that where I was like, okay,

19:42

like this doesn't necessarily change my

19:44

life, so it's not worth my time.

19:45

>> There's something that we can all use in

19:47

in pretty much any decision.

19:49

>> Always optimize for learning.

19:50

>> That's such a big one because it's

19:52

almost like we want to optimize for

19:54

success,

19:55

>> but you're saying optimize for learning

19:56

and that will lead to success.

19:58

>> Exactly. Yeah. Like everyone always

19:59

complains like, "Oh, it's such a big

20:01

risk to like, you know, quit college or

20:02

it's such a big risk to like quit this

20:04

job to build a company." But it's not

20:06

like you are losing your knowledge and

20:09

skill sets, right? If anything, you come

20:10

out the other side and you have more

20:12

skill sets. Like, yeah, you might have

20:13

given up, let's call it, like a $10

20:15

million a year job, but guess what?

20:16

You'll probably get a $20 million a year

20:18

job. And I also think that people

20:20

underestimate like how much like people

20:22

want talent, which obviously we saw with

20:24

Meta, right? paying like nine figures

20:26

for AI employees. I think that even if

20:29

your company fails, if you hire talented

20:32

people and you yourself are talented,

20:34

there will be someone that will buy your

20:35

company for more like than your

20:38

investors invested at a valuation

20:41

because they know you want to make your

20:43

investors whole and they know that you

20:44

want money and for the talent they'll

20:47

overpay. I keep thinking about my life

20:48

and it was it was much smaller than that

20:51

like I said the amount I was making but

20:53

making a pivot companies were so good at

20:56

making you feel like no but you built a

20:57

network here you should stay here like

20:59

there's such a culture of

21:02

>> making you feel like you're going to

21:03

fail if you move on and I think people

21:06

believe that people buy into that how do

21:08

we break out of buying into the fact

21:09

that we actually think if we lose a

21:12

$100,000 a year job then we're going to

21:15

end up with a $70,000 a a job. We don't

21:17

think we're going to be able to triple

21:19

it or quadruple it.

21:21

>> Yeah. I mean, I think that is just again

21:23

your network is your net worth and you

21:25

are the average of the people that you

21:26

hang around with. So, I was really lucky

21:28

to hang out with founders that have done

21:31

it before. So, I knew like how it

21:33

actually went. Uh I was lucky enough to

21:35

hang out with investors who, you know,

21:37

they would give exploding term sheets,

21:38

but they would also tell me, "Oh,

21:40

exploding term sheets aren't a thing."

21:41

Like, if the founder came back, we would

21:43

just give them the term sheet again. Um

21:45

people's fear is overcoming their logic.

21:48

Yeah. Because logically it's like why

21:50

would I not be able to get this job

21:52

back? Like if I was valuable to the

21:54

company, they're going to want me again.

21:56

And let's say for whatever reason the

21:58

role is filled. I mean companies find

22:00

roles for people all the time. When they

22:03

think the person is Swiss Army knife and

22:04

like smart and will be able to help the

22:06

company, they'll like make a role for

22:07

that person, right? Uh, but also there's

22:09

so many companies out there that will

22:11

hire you based off of the fact that like

22:13

you did great job at like company A.

22:14

Like company B is going to want you and

22:16

company B will fight for you and like

22:18

understand that now you have more

22:20

knowledge and more skill sets so they'll

22:22

pay you more. Um, this is really

22:24

people's fear overriding their logic.

22:26

>> Everyone says find your passion. What's

22:28

your take?

22:28

>> I think you should do what you're best

22:30

at to have the highest impact on your

22:32

passion. So, for example, like I really

22:35

like nonprofits and supporting

22:36

charities, but at one point in time, I

22:39

thought like I'm going to start my own

22:40

nonprofit and charity and foundation.

22:42

And you know, that might still happen,

22:44

but I also realized like at this age, in

22:46

this state of my life, I'm really good

22:47

at making money. So, my time is probably

22:50

best spent making money and in donating

22:51

to causes that I care about and being

22:54

run by people that actually know how to

22:56

run an organization or a foundation. I

22:59

don't know how to run a charity. And

23:01

like I had actually looked into this

23:02

where I was like, I'm going to start a

23:03

foundation. I'm going to do X, Y, and Z.

23:05

And I realized how much work it is,

23:06

right? And like how it's like quite

23:08

literally another full-time job. Like

23:10

maybe when I'm older, I'll like learn

23:11

all those skill sets and I'll decide

23:13

like my time is best spent doing that as

23:15

my passion. But I think optimize for

23:19

fun. Fun doesn't necessarily need to be

23:21

your passion, but like optimize for like

23:23

how you can make an impact in whatever

23:25

you're passionate about.

23:26

>> But that feels hard, right? Because

23:28

people are like, for example, when I was

23:29

growing up, I was passionate about

23:30

soccer.

23:32

>> What do I do with that? Cuz I can't be a

23:33

soccer player cuz I'm not good enough.

23:35

So then what do I do?

23:36

>> But you can make enough money to buy a

23:37

soccer team

23:39

>> and you can have a soccer game and have

23:40

so much fun.

23:41

>> Right. So you're saying that it doesn't

23:43

have to be your career, but you may go

23:45

build a career doing something else, but

23:47

then use the fruits of that labor to

23:49

then be closer to your

23:50

>> passion. Because like if you're able to

23:52

experience your passion, that's what's

23:53

going to make you happy, right? Like it

23:54

doesn't have to be your full-time job.

23:56

Well, I guess now music is my careerish

23:59

or my side quest, but I just used

24:02

everything that I had succeeded in and

24:04

like, you know, the money I had created

24:05

to go experience music and like live

24:07

events and that made me extremely happy.

24:09

I use like what I've been able to create

24:11

that helps support causes I care about

24:13

which has made me extremely happy. I

24:15

don't think that needs to be your

24:16

full-time career and like for most

24:18

people it's not going to be their

24:19

full-time career because like in certain

24:21

fields like even no matter how talented

24:24

you are, some of it is just luck, right?

24:25

like I'll never really understand the

24:27

music industry or the acting industry

24:29

because I have so many talented friends

24:30

in it and it just for whatever reason

24:33

they're not making it and I really do

24:34

think it's because there's other factors

24:37

like network, luck, etc. in that.

24:39

>> Yeah. Yeah. But I like what you're

24:40

saying that people often say pursue your

24:42

passion or make it your work. But

24:44

actually what you're saying is just go

24:46

work, do the thing and then connect to

24:48

your passion. And that feels much more

24:50

realistic for most people. M

24:52

>> like I think for the majority of people

24:54

there are very few people who can do

24:55

what they love and it makes money but

24:57

actually being free to the idea that you

24:59

can do something not hopefully that you

25:02

don't hate

25:04

hopefully that you don't hate but you do

25:05

something and that something gets you to

25:07

be able to be closer to all of these

25:09

things that you love which I think is a

25:11

is a much more genuine authentic path

25:14

for most people like people can aspire

25:16

to live that way.

25:17

>> Exactly. And like you said, now you're

25:18

closer to music charities. What were you

25:20

passionate about? Like if you could have

25:22

done something like for me, I could I

25:24

would have been a soccer player if I

25:25

could have like if I was good enough.

25:26

What would you have done if you could

25:27

have?

25:27

>> Well, it's changed over the years. So

25:29

when I was younger, I want to be a

25:31

singer, but I realized I'm basically

25:32

tonedeaf and I can't sing for my life.

25:34

So that was out the window. And then I

25:36

remember when I was like, you know,

25:38

choosing colleges, etc. I was like, it

25:40

would be really cool to like be an FBI

25:41

agent and like fight the bad guys. Um,

25:44

but then that's unrealistic because I'm

25:47

like this tiny woman and you know maybe

25:49

I could learn, you know, some kung fu

25:50

skills, but like overall, let's call it

25:52

unrealistic, right? And then I got

25:54

really passionate about music and um I

25:57

finally learned I can actually DJ. You

26:00

don't need to be able to sing or play

26:03

the instruments, etc. to be able to DJ.

26:05

So, it's been like a very cool thing

26:06

that I've been able to do.

26:08

>> How do you at this stage in your career,

26:09

how do you separate self-worth from net

26:12

worth? This is really interesting. So, I

26:14

was not a confident person until I went

26:16

to Miami. And when I went to Miami, I

26:18

just became friends with all these

26:19

people because uh they just like my

26:21

energy, right? Like I just see standing

26:23

in the elevator and people would come in

26:24

and be like, "Wow, I felt your energy

26:25

from far away, blah blah blah." It was

26:27

the first time in my life where like I

26:28

met people that were just like Mikasa

26:30

Succasta with no questions. Um there's

26:32

no agenda. And I think in the past, like

26:34

in LA, San Francisco, New York, there's

26:36

always like some sort of agenda. People

26:38

were like they wanted to know who I was.

26:39

It's like, "Oh, you're a teal fellow.

26:40

Let me be friends with you." or you're a

26:42

founder. Oh, you have a fund. U Miami

26:44

was the first time in my life where no

26:46

one asked what I did and they just

26:48

wanted to vibe with me because I gave

26:50

off good energy. So, I became extremely

26:52

happy there. Um, and I think my self

26:54

worth is based off of that where, you

26:57

know, I have a close relationship with

26:59

my family again. I'm close with my

27:01

friends. Um, and every time I meet

27:03

someone like that's a stranger that has

27:04

no idea who I am, they're just like,

27:06

"Wow, your energy is so vibey. Let's

27:08

dance." Um, and that makes me happy

27:10

because it like it shows people like me

27:12

for me versus like my net worth. Um,

27:15

versus like I don't think I had that

27:17

purity before I had experienced it in

27:20

Miami.

27:21

>> Entrepreneurially and professionally,

27:22

what's something that you thought would

27:24

go your way but turned into a rejection

27:27

or a failure?

27:28

>> Honestly, like I'm not someone that sits

27:30

and weeps. Like I've never really sat

27:32

and felt sad. So, um, unless you know

27:36

like a close friend is hurt. like I hear

27:37

bad news from a close friend, but like

27:39

for myself, whenever I face rejection,

27:41

I'm like, "Okay, cool. On to the next."

27:43

So, I've never like felt extremely hurt.

27:46

>> One of the more like sad ones might have

27:49

just been when I was so close to like my

27:53

top VC choice. Like I was like, I'm 100%

27:55

going to get a term sheet. Like they're

27:57

whining and dining me. They just flew

27:59

out to meet me. And then it was just

28:01

like out of nowhere it was a no, right?

28:03

And I was like, what in the world

28:05

happened? Yeah. I was just like I felt a

28:07

little bit led on but also like I didn't

28:10

really sit and feel bad about it. I was

28:12

like okay cool on to the next. Let's

28:13

find a new lead.

28:14

>> Do you think that mindset's

28:17

integral and important at that level?

28:19

Like

28:20

>> I think being an extremely positive

28:21

person that's constantly optimistic is

28:24

what has gotten me to where I am today.

28:27

I think the worst thing you can do is

28:28

think like oh like the world is unfair.

28:31

Um why did this happen to me? Stop

28:34

thinking that way. Like everyone is born

28:35

with advantages and disadvantages, you

28:38

kind of just have to take what you have

28:39

and go forwards and if you face

28:42

rejection um just learn from it and

28:45

immediately like go and fix.

28:47

>> That mindset obviously worked for you.

28:49

You've made so much money.

28:51

>> You've become such a success story. What

28:54

problems did money take away and what

28:57

problems stayed or got worse? When I

29:00

first started out, before I had any

29:02

money, I was like couch surfing all the

29:04

time, but I like didn't have anything to

29:06

pair with. Like I actually love couch

29:07

surfing. It was fun. You get to meet a

29:09

lot of people. Like I found couches

29:10

extremely comfy. It was like to the

29:12

point where I had an apartment. I had a

29:14

bed and I would sleep on the couch. So

29:16

like that was like nothing but like any

29:18

stressors of money like went away,

29:19

right? Um but I also think that like

29:22

what it can cause is you become a little

29:23

bit too comfortable which isn't great.

29:25

You've been in so many rooms now with so

29:27

many successful people, incredible

29:28

entrepreneurs, people that you've worked

29:30

with early days at Snap. What do you

29:33

think is the most surprising thing

29:35

you've noticed about the people at the

29:38

top? Something that we'd be surprised or

29:40

shocked to know.

29:41

>> I think the people at the top are

29:43

actually not the smartest people in the

29:45

world at all. I think that they lack

29:48

frameworks. And because they lack

29:49

frameworks, they don't understand a

29:51

concept of like how the world works. Um,

29:53

which is actually very good because

29:54

startups are built when you break

29:56

frameworks. Um, because you innovate,

29:58

right? Um, which is why when you take

30:00

someone in an industry that's been in

30:02

industry for decades and hire them in,

30:04

often times like they don't innovate

30:05

because they're like things have to be

30:06

done this way because things have always

30:08

been done this way. And again, Airbnb,

30:10

Uber, great examples of this. They

30:11

weren't transport experts. They weren't

30:13

real estate experts. So, they didn't

30:14

have a framework of like how things are

30:16

supposed to be. Um I think the people at

30:18

the top completely lack frameworks um

30:21

because they didn't have decades of

30:23

experience and because of that um they

30:26

were able to innovate but also they tell

30:27

their employees like their employees

30:29

might be like that's impossible and

30:30

they're like I don't care and their

30:32

employees might be PhDs and they're like

30:33

no literally I've been doing this for 20

30:35

years I have multiple PhDs this is

30:37

impossible and they'll just like no it's

30:39

not go do it. Um and they will say

30:42

things like okay whoever does it gets

30:43

this like giant bonus whoever does this

30:45

gets promoted etc. And when people see

30:47

that prize, that's when people like

30:49

really force themselves to break the

30:51

framework that they know because they're

30:54

so desperate to like get that thing that

30:56

was offered to them. I would say like

30:58

when you look at the people at the top,

31:00

they're not the most educated really. I

31:02

think that in general they have high EQ.

31:04

Some of them don't have high EQ, but

31:06

they force the impossible to be

31:08

possible.

31:08

>> You're reminding me of that great

31:10

conversation between Steve Wnjak and

31:11

Steve Jobs. And so Steve Wnjak goes up

31:14

to Steve Jobs and he goes, "What do you

31:16

even do? You're not a coder. You're not

31:18

a marketer. You're not a salesperson.

31:20

You're not an engineer. What do you even

31:22

do?" And Steve Jobs replies, he says,

31:24

"Musicians play their instruments. I

31:27

play the orchestra." And it's such a

31:29

powerful statement because he doesn't

31:32

know how to do all the bits and bobs. He

31:33

just he's like, "All I know how to do is

31:34

put it all together and get it to all

31:36

work in harmony, but I don't really know

31:39

everything." And I think people when

31:41

they're on their journey, they feel like

31:43

I'm not smart enough. I don't know

31:45

enough. I should be more experienced. So

31:48

what's that balance then with you know

31:50

nothing about an industry which is a not

31:53

having a framework is a positive thing

31:56

but then what is different about that

31:57

entrepreneur that you don't know

31:59

anything about the industry. You break

32:00

all the rules. That's what makes you

32:02

successful.

32:03

>> I think it's also being visionary. Like

32:04

I think is actually a great example of

32:06

this where he told his team like I don't

32:08

care if it's impossible, you're going to

32:10

figure it out, right? I think Elon Musk

32:12

has told his team this uh etc etc. Um

32:16

because they lack the frameworks to like

32:18

really understand like this is

32:19

impossible and it might have been

32:21

impossible at the time but obviously

32:22

like innovations do happen um in

32:25

technology and they force their

32:27

employees to innovate and break those

32:29

frameworks to make their vision

32:31

possible. But I think it's being open to

32:34

the possibility of things like lacking

32:36

frameworks and then just I don't want to

32:39

say you like they they had knowledge in

32:42

like technology in general, right? But

32:44

they might not have been an expert in

32:45

like real estate, in transportation, in

32:48

industrial design. Um but I think that

32:52

you need just enough knowledge um and

32:55

then just enough grit, just enough

32:57

persuasion to get the smartest people in

33:00

the room convince them to innovate. It's

33:02

almost like having that undeniable

33:04

belief that we can find a way. Exactly.

33:07

>> And it's almost like we have to find a

33:08

way. Yeah.

33:09

>> Because I'm not going to accept anything

33:11

less.

33:11

>> Exactly. And I can literally tell you

33:12

like this did happen at Apple.

33:14

Obviously, this happened at SpaceX. And

33:16

look at like Elon now.

33:19

>> Where does the kind of that leadership

33:23

zeal or approach can often burn a lot of

33:27

people as well? All leaders are

33:29

extremely controversial and polarizing.

33:31

Like there's no leader out there where

33:32

like everyone loves, right? Um but I

33:35

think that being polarizing makes you

33:36

interesting and the people that are on

33:38

your side are going to work their

33:39

hardest to make you happy and like to

33:43

bring that product idea that you have to

33:45

life.

33:45

>> What were the biggest challenges you

33:47

had? Did you did you have any friction

33:49

when you were rising up the ranks and

33:51

building your company? And like where

33:52

where were the points that you hit

33:54

difficulties? This comes down to hiring

33:56

the right people. And again, like all

33:58

leaders are polarizing. Um, but we were

34:01

like all hands on deck. I think at every

34:02

single company I've been at, it's been

34:04

all hands on deck where you're not just

34:06

going to be doing what your job

34:07

description is. So, at scale, we had

34:09

like, you know, the engineers labeling

34:11

data. I had my engineers talking to

34:13

creators and doing customer support. Um

34:15

because I think that when you are deep

34:18

in the weeds, you're going to really

34:19

understand, especially like when you're

34:20

working with customers, you're going to

34:21

understand like what needs to be built,

34:24

um what bugs there are, like what's

34:25

critical, what's not. Uh so I think it's

34:28

extremely important to be in the weeds,

34:30

especially early stage, and talk to

34:33

customers and do things outside your job

34:35

description. Like even our investors

34:37

were doing things outside their job

34:38

description where they were like on

34:39

LinkedIn helping us like find new

34:42

employees to hire. They were like,

34:44

"Clean our office for us when we didn't

34:46

have time to cuz we were constantly on

34:48

sales calls." You can imagine that like

34:50

that can create a very polarizing

34:51

environment because people are like, "I

34:53

didn't get hired to do this." But the

34:55

right people that you hire going to be

34:56

willing to be all hands on deck

34:57

>> right now in this AI world that we're

34:59

living in, what are three skills that

35:01

humans should develop knowing that AI is

35:05

going to be able to do pretty much

35:07

everything?

35:08

>> So, I think the number one skill they

35:10

should develop is human connection. and

35:12

like being able to like have high EQ,

35:14

being able to do sales, etc. because

35:16

that's never going to disappear. AI

35:19

might be able to like you know reach out

35:21

to agents like negotiate a contract for

35:23

you, write the contract for you, but how

35:26

you're going to close the deal is

35:27

through human connection and how you are

35:29

able to even like win over deals is

35:31

through human connection, right? Um like

35:33

so much of it and this goes back to your

35:35

network is your net worth is that like

35:37

things are emotional sales, emotional

35:40

retention. um like even extending a

35:42

contract for example. So I think like

35:44

that's definitely the number one skill

35:45

in an AI world. Number two is I think

35:47

develop really good taste in like

35:49

whatever you are doing. Like for example

35:52

like AI is going to replace a lot of

35:54

designers but the designers with the

35:56

best taste are going to be able to pick

35:58

out okay like this is the best design

36:01

that this AI has generated so let's go

36:03

with this.

36:05

>> Yeah. And then I I think three, like

36:07

figure out how to scale your time with

36:09

AI. And if you're able to do this sooner

36:12

than everyone else, like let's say you

36:14

have an idea and you decide to make an

36:15

app with AI or like you create these

36:16

bots and like that helps you scale your

36:18

time and be like 10x more efficient than

36:19

everyone else. And then you sell that

36:21

bot to help other people in your world

36:22

be 10x more efficient than everyone

36:23

else. You're going to be able to create

36:25

that wealth. Uh before I don't want to

36:27

say it's too late, but like I do think

36:29

that AI is going to make a lot of people

36:31

rich, but the people that fall behind,

36:32

it's not going to be great for them. Are

36:33

you a chat GBT claude perplexity? What

36:37

are you using?

36:38

>> I use different tools depending on the

36:41

use case. Um, I think anything I want to

36:44

say like consumer related. Um, and this

36:47

can be anything from like helping me

36:49

think of like music ideas to researching

36:51

like the best hotels out there, I use

36:54

chat. And then for anything enterprise

36:56

business focused, I use Claude. Nothing

36:58

really beats out Claude code. And

37:00

Cloud's new design tool is absolutely

37:02

phenomenal. And what's cool is that

37:04

like, you know, you could literally

37:05

design something in cloud design and

37:07

then import it into cloud code, which is

37:09

great. Um, even like little details like

37:12

Claude is really good at designing um

37:14

like full scale applications. So like

37:17

UX, UI, etc. But if I want like a simple

37:19

graphic edit that I would normally use

37:21

Photoshop to do, Chat's actually better

37:23

at that. There's different reasons to

37:25

use different tools. How has AI changed

37:27

the way you're hiring for your new

37:28

companies versus your old one?

37:30

>> I actually am like include AI questions

37:33

uh in every single role right now and um

37:36

right now I am actually asking my entire

37:38

team to give takehomes to non-technical

37:41

roles. Um, so for example with their AE

37:43

rules, um, so sales it's like I want you

37:46

to figure out how to use cursor replet

37:48

like cloud code to create a bot where

37:50

it's like you take an Instagram profile

37:52

and guesstimate like how much a person

37:54

will earn because a like that's

37:56

extremely simple to do using AI tools

37:58

and b I I can see kind of how you think

37:59

based on how you prompt it like what

38:01

metrics are you looking at um what are

38:03

you scraping on the internet etc to get

38:05

this number out there. I think that

38:08

every employee needs to be using AI to

38:10

be a 10X employee now. So if they're

38:13

they haven't taken the proactiveness to

38:16

actually do that themselves, I want to

38:18

see how quickly they can learn over a

38:19

weekend cuz I do think that like some

38:21

people just like, you know, haven't just

38:22

haven't decided, haven't been in a role

38:24

where they're like, let me learn, but

38:26

it's so quick to learn. Like I think

38:27

learning trajectory is everything. So if

38:29

someone can learn quickly, they can

38:31

easily become a 10x employee um versus

38:33

someone that like might have had more

38:34

experience but is stagnant and resistant

38:36

to learning. So I think take home

38:38

challenges are really great for this cuz

38:39

within 48 hours you can see like okay

38:40

cool like how much did you do?

38:42

>> What job do you think look safe today

38:44

but won't exist in 10 years?

38:46

>> I think that there are certain creative

38:48

jobs that look safe today that won't

38:50

exist in the future. let's call it like

38:53

being a like videographer, photographer.

38:56

That is a very human job. That's not

39:00

very analytical, it's very artistic,

39:01

etc. But I actually think that most

39:05

models are going to be AI generated.

39:06

Like a lot of humans are going to

39:08

license out their likeness. So AI is

39:10

going to generate a bunch of different

39:12

videos and photos. Editors might still

39:15

exist, right? like or like the taste

39:18

makers will go in and choose the right

39:19

one and edit it to be what it should

39:22

have been. Certain jobs like that like

39:26

even writers right like AI is going to

39:28

get extremely good at writing but

39:30

editing will still exist.

39:32

>> What's the biggest mistake people are

39:34

making with AI right now?

39:36

>> The biggest mistake would probably just

39:38

be assuming that AI works really well

39:40

and they're just assuming everything

39:42

outputed is true, right? Like AI is

39:44

really only as good as the data that you

39:46

give it. So if you feed a model like the

39:48

sky is red, it's going to output the sky

39:50

is red. This happens everywhere. Even

39:52

with engineering, right? Like if AI

39:54

makes one mistake and then it continues

39:55

to create more and more bugs, but you

39:57

trust AI to code for you, that's not

39:59

great. Which is why right now like if

40:01

you take a great engineer and give it

40:03

AI, like it becomes a 100x engineer. But

40:06

if you take like a mid-level or early

40:07

entry level engineer and give it AI,

40:09

you're just going to actually end up

40:10

with a lot of tech debt because they're

40:12

not fixing the problems that AI is

40:14

generating. And I think this exists

40:15

across the spectrum. When did you first

40:18

start learning about AI?

40:20

>> I mean, I would say probably started

40:22

with scale. Scale is the picks and

40:24

shovels of the AI industry, right? We

40:26

weren't creating these like innovative

40:28

new foundation models. We were literally

40:30

labeling the data. So like we would have

40:32

self-driving car companies send us

40:34

lighter data, images, videos, and we had

40:36

labelers around the world say like

40:38

that's a car, that's a pedestrian,

40:39

that's a stop sign on the road. Like

40:40

that was what we were extremely good at

40:42

and that's always going to be needed

40:43

because it goes back to like your model

40:45

is only as good as the data that you

40:46

feed it. That was when I really started

40:48

learning like how important data is

40:50

because even like with generative AI,

40:52

like if it generates something wrong and

40:53

it thinks it's correct, like you're

40:55

going to get more wrong generations and

40:57

that's not great. which is why like

40:59

reinforcement learning is always going

41:01

to be a thing. But yeah, like I would

41:03

say like that was probably so back in

41:05

2016 was when I first started like

41:07

understanding AI.

41:08

>> You learned about AI in 2016.

41:11

50 to 60% of the current US population

41:14

have used AI at least once. And that

41:17

shows that we just feel like AI just

41:19

came around 2 years ago. What's the

41:21

thing that people like yourself are

41:23

talking about right now that the world

41:25

is only going to catch up with in 10

41:26

years? You were talking about AI 10

41:28

years ago and the average person was not

41:30

talking about AI. They didn't even know

41:31

it was coming.

41:32

>> Yeah. I mean, 10 years is a really long

41:34

time. But I think that right now what

41:37

I'm thinking about constantly is what's

41:41

going to happen to college students

41:43

because like I said, AI can make someone

41:45

exceptional really, really great. But

41:48

when you take someone entry level, AI

41:51

does their job better. Like Claude just

41:53

shut down Fable, so it's no longer

41:55

accessible. But Fable is as good as a

41:58

staff engineer. It's absolutely

42:00

incredible. So if you're a really great

42:02

engineer, holy crap, you're going to be

42:04

like a thousandx engineer. And the

42:06

better you are, the more useful AI is.

42:09

But again, if you're like, you know,

42:10

entry level and you're using it, like

42:12

you're not going to be able to utilize

42:13

it in the same way. And it's not great.

42:16

I think in general with new

42:17

technologies, new jobs are created. Like

42:20

prompt engineering is a new job, right?

42:21

And it's an extremely important new job.

42:23

So, and like now we have a bunch of

42:25

people labeling data because that's a

42:27

new job and that's a huge industry.

42:28

>> For people who don't know, what does a

42:29

prompt engineer do?

42:31

>> They basically prompt the AI to output

42:33

what you want it to output.

42:34

>> Okay. So, having someone who's so good

42:36

at writing a prompt,

42:37

>> yeah, so good at writing prompts that

42:38

like you get the output that you want

42:40

>> because everyone's just putting in these

42:41

average. My best guess is that like AI

42:44

has actually democratized being able to

42:46

start companies and be an entrepreneur.

42:47

So, I think more people are going to

42:48

become entrepreneurs. Um because before

42:50

you would need to you know raise a ton

42:52

of money then hire engineers and a huge

42:54

team and then go build the product and

42:55

now AI is building products like that

42:57

for free really um or extremely cheap.

43:00

So I think ideas people are actually

43:03

going to be able to execute way better

43:05

than before. Like in the past like it

43:07

was like okay cool like if you're not an

43:08

engineer I don't want to invest in you.

43:10

But now someone that's an ideas person

43:12

can literally use AI to generate

43:14

something and get traction on it and

43:15

then be able to fund raise and you can

43:18

now raise significantly less money to

43:20

get to metrics that you would need to

43:22

get to before you can raise a series A.

43:24

So because it's a lot cheaper to start

43:27

companies and run companies, I do think

43:29

it's going to democratize the access to

43:31

being an entrepreneur and like that is

43:32

going to be a middle ground people are

43:34

going to take when like you know

43:35

students realize like oh [ __ ] what do I

43:37

do? Like I can't get a job. they're

43:39

going to figure out how to use AI to

43:40

start their own companies.

43:41

>> Did you always know you're going to be

43:42

this successful?

43:44

>> I always knew I was going to start

43:45

companies. And the reason why is because

43:47

like when I was younger, I was always

43:48

just figuring out how to make money and

43:50

build things. Like I really enjoyed

43:52

building things and seeing people use my

43:53

products.

43:54

>> What would you build as a kid?

43:55

>> So I built like a virtual pet site. I

43:57

don't know how I convinced a bunch of

43:58

engineers, designers, artists to work

44:00

for me for free. So I built out a

44:02

virtual petite. I think I was in like

44:04

fifth grade or something. Yeah. Like

44:06

fifth, sixth grade. Really, really

44:07

young. I built like arcade game

44:08

websites. I built like Twitter bots,

44:10

internet marketing tools. But what was

44:12

really exciting to me was just like it

44:13

could be like a really crappy website

44:15

like based off of WordPress, but I would

44:16

submit it on Stumble Upon and I'd be

44:18

like, "Oh my god, there's 10,000 people

44:19

on my website." Like I just love seeing

44:21

people use my products. And then I would

44:23

say like in college when I discovered

44:25

hackathons, which is very early on, like

44:26

my freshman year, I was like, "I'm going

44:28

to build a company." Because my first

44:29

time seeing that there was like so much

44:31

more to the world than just building

44:32

internet marketing tools. I was like,

44:33

"Wow, I can build extremely impactful

44:36

companies that really change how someone

44:38

lives their day-to-day life." But in

44:40

terms of being successful, I think that

44:41

it goes back to like probably after I

44:44

joined the Teal Fellowship, I didn't

44:46

necessarily think like, "Oh, I'm going

44:48

to be a billionaire." But I looked

44:50

around and everyone around me was

44:52

raising tens of millions of dollars.

44:54

They were like shooting to really change

44:56

the world with their companies. And

44:58

obviously like I think valuation is a

45:00

direct measure of how impactful your

45:03

product and your idea has been to the

45:04

world. So did I think I was going to

45:06

impact the world? Like I guess yes. I

45:09

didn't know to what scale.

45:10

>> How does it feel to be the youngest

45:13

female billionaire in the world? Like

45:14

how does that feel?

45:15

>> I'm still the same person as I was when

45:17

I was younger, right? Like I think the

45:19

difference is like when I was maybe 20

45:22

years old, I was literally skateboarding

45:23

to Barry's boot camp and now I have

45:25

someone that drives me to Barry's boot

45:27

camp. Um,

45:28

>> but you're still at Barry's boot camp.

45:29

>> But I'm still at Barry's boot camp every

45:30

single day at 6:00 a.m. I still wake up

45:32

at 5:30 a.m. every day. Um, I'm still in

45:35

the office like until late. Like I

45:37

always try to be like one of the first

45:39

people in the office and one of the last

45:40

people to leave. Although Britney might

45:42

have me beat here with being the first,

45:44

not the last to leave. What do you think

45:46

you had that was different about you

45:49

that made you design sites when you were

45:51

in fifth grade? Or what did you have

45:54

that people around you didn't have?

45:55

>> I didn't have friends. Sorry, I have to

45:57

say that. That was like you were feeding

45:59

it to me. Um, but no, I had extremely

46:01

strict Asian parents, right? So, um, my

46:03

parents didn't really let me have

46:04

sleepovers. Um, and then I wasn't

46:06

allowed to do like sports, etc. So, for

46:09

me, I didn't really have friends. I was

46:11

not cool, right? I was just I no one

46:14

wanted to be my friend and I wasn't a

46:16

lot of pets either. So I think it all

46:17

started really with Neopets. I um

46:20

started like you know messing around

46:21

with the internet and then I was like

46:22

wait this is really cool. I want my own

46:24

version of this. As for like why I

46:26

wanted my own version, why I love

46:27

building things like I learned how to

46:28

use Photoshop pretty early on. Like I

46:30

was learning PHP like how to build

46:32

WordPress sites and edit them. I don't

46:33

really know like why I had that desire.

46:36

That was almost like innate in me. I

46:38

want to say I would have been a

46:40

professional athlete if I didn't have

46:41

Asian parents. So, I think that was

46:42

really it.

46:43

>> What What sport?

46:44

>> I was really good at swim. I had a lot

46:46

of medals. Uh I was very good at

46:48

basketball. Um and then right now I have

46:52

Olympic qualifying times on a treadmill

46:54

on like a very good day. Um but not in

46:57

the US. I'd have to like go move to

46:58

Singapore and then compete for Singapore

46:59

where I have no competition. Um but I

47:02

think one of those three.

47:04

>> Wow. Still any dreams? Are we going to

47:07

see an Olympic run in the future?

47:09

>> I have Olympic friends that are very

47:12

upset I'm not side questing to be an

47:13

Olympian because they've seen me work

47:15

out and they're like, "You should

47:17

absolutely train for the Olympics." I

47:18

got recruited actually by Olympic like

47:20

training groups. Really?

47:21

>> Yeah. But um no, my side quest is

47:23

currently DJing.

47:24

>> Yeah. I love that. I don't know if you

47:26

decide or plan on being a parent ever,

47:28

but like how do you feel about that? You

47:30

had strict Asian parents.

47:32

Do you agree with that? Did it work?

47:34

Would you do it the same way? What would

47:35

you change?

47:36

>> Yes. I think the thing I would change is

47:38

that like I wouldn't force my kids into

47:39

a passion. Um and my parents actually

47:41

didn't force me into like my passion um

47:44

per se. Like they actually wanted me to

47:46

be a pharmacist cuz they're like oh you

47:47

can work 3 days a week like you'll be

47:50

able to like find a good husband, get

47:51

married. And I was like that sounds like

47:54

my worst nightmare working three days a

47:56

week. I would be so bored. I don't know

47:57

what I would do. So clearly it didn't

48:00

happen. But I think that prodigies are

48:03

made and I would want to throw

48:05

everything at my kids and find what

48:07

they're passionate about. And I think

48:09

people are generally passionate about

48:10

what they're good at. So I would figure

48:11

out what they're good at and what they

48:13

seem to enjoy and then really accelerate

48:16

their development in that one thing,

48:17

whether it's math, whether it's like

48:19

being an F1 tracer, because um if you're

48:22

able to get like a multi-year head

48:24

start, you're just going to be above

48:26

everyone else, right? I love it.

48:27

>> So, I don't want to force them into

48:29

passion, but once I find it, like I want

48:31

them to be the very best in their

48:32

passion.

48:33

>> Lucy, honestly, whenever we spend time

48:35

together, I laugh a lot. I learn a lot.

48:37

But you're exceptionally sharp and

48:39

smart. I mean, I could tell just how

48:41

much you thought about the questions

48:42

that you gave me answers that surprised

48:44

me or ones that I've definitely not

48:46

heard before. Oh,

48:46

>> I'm glad. Thank you.

48:47

>> Yeah, we end every episode of On Purpose

48:50

with a final five. These have to be

48:51

answered in one sentence maximum.

48:53

>> Okay.

48:54

>> So, Lucy Guo, these are your final five.

48:56

The first question is, what is the best

48:57

advice you've ever heard or received?

48:59

>> I mean, this is pretty simple, but I

49:01

would say the best piece of advice I've

49:02

ever received is just like just ask is

49:04

the worst thing that can happen is that

49:05

you get a no. And I do this for really

49:07

everything in my life still. And you

49:09

have to be able to handle rejection. So,

49:11

be able to handle rejection and just

49:14

ask.

49:14

>> Perfect. Uh, question number two. What

49:16

is the worst advice you've ever heard or

49:18

received? So, I think the worst piece of

49:20

advice I've ever received is that you

49:22

need to hire executives with decadesl

49:25

long experience to have like an adult in

49:27

the company because especially early

49:29

stage when you have an adult in the

49:30

company, what they end up doing is

49:32

bloating your team up and that's not

49:34

great for early stage obviously because

49:35

you end up burning a lot more money.

49:37

>> Yeah. It's it's so interesting, isn't

49:38

it? Because you always go through this

49:40

like do you need a young team? Do you

49:41

have to bring an adult in?

49:42

>> You want a young team?

49:43

>> Yeah. Very very emperic.

49:47

Question number three, what's something

49:49

that you learned at 30 that you wish you

49:51

knew at 20?

49:53

>> I think when people believe that you're

49:55

wealthy, it is a lot easier to move

49:57

around in this world. Um, and I say this

50:00

as someone that used to take pride in

50:02

dressing in like Sheen, Walmart, etc. I

50:05

realized how much easier life gets if I

50:08

just present myself nicer. Um, it opens

50:11

a lot more doors. And this goes back to

50:13

like your network is your net worth, but

50:15

you actually do want those doors open

50:17

often times.

50:18

>> And what if what if people say things

50:20

like, "Oh, but that doesn't feel

50:21

authentic to me and that's not real and

50:24

I'm like what's your take when people

50:26

say something like that?"

50:27

>> I think there's a way to be presentable

50:29

and still feel authentic.

50:31

>> Um, but it also depends on like are you

50:33

down to have that trade-off, right? But

50:35

I just remembered the change and how

50:37

much easier life got and the connections

50:40

I've been able to make since I stopped

50:43

taking pride in dressing like a hobo.

50:46

>> Yeah. And like those are great

50:47

connections have opened a lot of doors

50:48

for me.

50:49

>> Question number four, who are your

50:51

entrepreneurial heroes?

50:53

>> I actually really admire Whitney Wolf

50:55

because um we all know the story how she

50:57

was kicked out of Tinder, right? But

50:59

instead of, you know, sitting and having

51:01

victim mentality and being sad, she

51:03

literally went you and created a direct

51:06

competitor that's doing better, which is

51:07

just awesome. Like I love that mentality

51:10

of a fighter.

51:11

>> Fifth and final question. We asked this

51:12

to every guest who's ever been on the

51:14

show. Lucy, if you could create one law

51:17

that everyone in the world had to

51:18

follow, what would it be?

51:19

>> I mean, this is so basic, but I think

51:23

just be nice to every human being,

51:25

right? Uh, I think kindness makes the

51:27

world go around.

51:28

>> Lucy Gro, thank you so much. Uh, as I

51:31

said, I've learned so much. Look forward

51:33

to spending lots more time together.

51:35

Excited to see what you're going to go

51:36

build next.

51:36

>> Yay. Lots of things.

51:38

>> And this is such a joy. Thank you so

51:39

much for giving my audience so much of

51:41

your time, your guidance, and your

51:43

energy. I'm so grateful.

51:44

>> Thank you for having me. This is fun.

51:45

And if you love this episode, you'll

51:47

love my conversation with Airbnb founder

51:51

Brian Chesy on how to tap into your

51:54

creative potential. And the number one

51:56

thing people get wrong about success,

51:59

>> the best people in your life will be

52:01

people who see potential in you that you

52:03

didn't see in yourself. And I often

52:05

wonder,

Interactive Summary

This episode features a conversation with Lucy Guo, a successful entrepreneur and co-founder of Scale AI. Throughout the discussion, Guo shares her unconventional perspectives on success, the importance of networking, the role of AI in professional environments, and her philosophy on decision-making and risk-taking. She emphasizes that college is valuable primarily for networking rather than the degree, advises founders to focus on execution over perfection, and highlights the necessity of optimizing for learning in every endeavor. She also discusses her personal evolution as a leader, her approach to hiring in the age of AI, and the importance of maintaining an authentic, high-energy presence.

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