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Trump's Cabinet, Google's Quantum Chip, Apple's Flop, TikTok, State of VC

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Trump's Cabinet, Google's Quantum Chip, Apple's Flop, TikTok, State of VC

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2421 segments

0:00

all right everybody welcome back to the

0:01

number one podcast in the world the

0:03

Allin podcast with me again today jamath

0:07

poaa your chairman dictator how you

0:10

doing brother how you feeling doing

0:12

great Fresh Off The Holiday Spectacular

0:15

oh good times and then uh getting ready

0:17

for a little ski you and I will be doing

0:19

a little skiing together with Friedberg

0:21

that'll be quite

0:23

nice freeberg I don't think you've skied

0:25

with me and Jason Jason is an excellent

0:27

skier I mean I've heard his for have I

0:30

you Jason I don't think I have his

0:32

brother is excellent too they're both

0:33

Josh the black bomber is good yeah yeah

0:36

shout out to Josh the black bomber it's

0:37

gonna beas's got those hips he's got

0:39

he's got skiing hips they kind of shift

0:41

left right right yeah child it's kind of

0:44

like when I the hips are wider than the

0:46

shoulders yeah it reminds me of I went

0:47

to the Tom Ford uh out I went when I

0:51

went to Tom Ford to get my suit I'll do

0:52

that in just a second but with us again

0:54

of course you're cackling Sultan of

0:56

science freeberg how are you doing have

0:58

you guys seen that clip of the guy with

0:59

the fake bum that runs around the city

1:01

yes with security guards it's like some

1:03

sort of a crypto put on or something

1:05

it's hilarious this guy he's got like a

1:08

big Brazilian butt and he just runs

1:10

around in tight Tac you find a clip of

1:13

this guy oh my God it's so ridiculous so

1:16

funny all right with us the cackling

1:18

with his afterlove from the Holiday

1:20

Spectacular let's call it what it is

1:22

it's the Christmas Spectacular we're

1:24

going to pick a side freedberg how did

1:26

you like our Christmas why are you being

1:28

anti-semitic bro how dare you how dare

1:31

you you can have the Hanukkah special

1:33

with your two specials and now with us

1:35

in The Red Throne it's fit Sachs it is

1:40

stylish Sachs it is goes to work every

1:44

day in Venture Sachs his name is Keith

1:46

raboy how are you my brother welcome

1:49

great great Jason thanks happy to be

1:52

here you know it's great being more fit

1:54

and more fashionable with socks is a

1:56

pretty low bar yes so I'm really excited

1:59

to drill

2:01

[Music]

2:02

let your winners

2:03

[Music]

2:08

ride and instead we open sources to the

2:11

fans and they've just gone crazy with it

2:14

queen

2:17

of and as we love about you you've got a

2:21

little American exceptionalism Supremacy

2:25

dare I say you don't f with dictators

2:29

that's true you with them yeah I don't

2:31

really love dictators they're not good

2:32

for society they're not good for America

2:35

but you know it's not always America's

2:36

job to fix all of that all right well

2:39

listen what about running companies

2:40

should company CEOs be dictators Yes

2:43

actually um so I believe in the founder

2:45

mode the Brian chesky founder mode I

2:47

held a conference in New York recently

2:48

that Brian was nice enough to speak at

2:50

called hiring the art of hiring for

2:52

founder mode so specifically for people

2:55

who subscribe Founders that subscribe to

2:57

that view how do you hire people and how

2:59

is that different which you would hire

3:00

in a standard you know monstrosity of a

3:03

company like Google or something yeah

3:05

good founder mode in New York by the way

3:06

just history if I remember correctly

3:09

lots of good founder mode in New York J

3:11

do you want to give Keith's background

3:12

the of course went to Stanford with the

3:16

boys saaks and Peter teal went on to do

3:19

PayPal he had a stinet square he started

3:22

a bunch of other companies Founders fund

3:24

he work he worked he he went to LinkedIn

3:28

that's how it all started LinkedIn was

3:30

pretty key like re left PayPal started

3:32

LinkedIn I joined him so yes that's true

3:35

and then after that I went back with

3:37

back stion from PayPal days to slide

3:39

which is on the as of History we don't

3:41

have to talk about that but then uh I

3:43

did jump into square as the 20th

3:45

employee and helped build a pretty good

3:47

company yeah and then Founders I got

3:51

Lac you know became lazy you know

3:54

decided to be VC in 2013 spent six years

3:56

at Coastal Adventures five at Founders

3:58

fund the last year almost last year now

4:01

before we jump in I actually have a

4:03

question for you starting already how

4:05

does that happen Keith how do you you're

4:08

at Founders sorry and then you

4:11

get what like what pulled you to go and

4:15

work with v note and then what pulled

4:16

you back like how does that process work

4:18

because these things are typically meant

4:20

to be sort of forever jobs that's true

4:22

so I you know had the benefit of having

4:24

the note on the board of square which I

4:26

think is typically how Executives uh

4:29

wind up turning into VCS is you forge a

4:32

relationship with board members so like

4:34

for example Roa B who runs tooa had Mike

4:37

Mor on his board roaf was our CFO at

4:39

PayPal and Mike recruited him so that's

4:42

a very common same thing Ravi at Sequoia

4:44

today was the COO and CFO of instacart

4:48

again same thing Mike recruited him into

4:49

scya so I think that's typically uh how

4:52

people become VCS I always knew I wanted

4:54

to be a VC since 2003 I was a very

4:57

active inial investor as you know even

4:59

when I was was you know concentrating on

5:00

all these other jobs I was writing a lot

5:02

of checks and so anybody who's writing a

5:04

lot of active Angel checks probably has

5:06

in the back of their mind one day I

5:07

might want to be a professional investor

5:09

we could talk about the merits or

5:10

demerits of that but like the goal was

5:12

pretty clear in my mind and then at some

5:15

point I think you have to make a

5:16

decision what do you want to be in life

5:20

um you know venture has long time

5:22

Horizons it is a job for life like 15 20

5:25

years is pretty much what you have to

5:26

commit to so you don't really want to

5:28

start Venture when you get to old

5:30

because 20 years you know you'll be like

5:32

Donald Trump age yeah so I can run for

5:36

president I can run for president in 25

5:38

years or something Keith why did you

5:40

leave Founders fund to go to kosa so

5:43

kosa was great I spent six years there

5:45

the truthful reason why I left it's kind

5:47

of funny given covid and how history

5:50

changed is I hated commuting a sa Hill

5:52

Road every day we were one office period

5:56

in office every single day and I felt

5:59

like the future of investing was more in

6:01

sanan Francisco than in paloalto at the

6:04

time and I just despised sitting in a

6:06

car 45 minutes each Direction turns out

6:09

you know Co changed everything how

6:10

people do their work like we're

6:11

recording this by Zoom before covid we'd

6:14

probably all be in the same studio

6:15

recording a podcast like this and so but

6:18

the node and the team was very

6:20

inflexible about it and Founders phone

6:21

was located in the city obviously I knew

6:23

Peter since College as Jason alluded to

6:26

and I decided that you know it was

6:27

better for me I remember talking to Sam

6:29

Alton

6:30

and I said am I crazy for changing funds

6:32

mostly on a commute basis and Sam said

6:34

you're human and every single study of

6:36

human happiness is it's inversely

6:38

correlated to your commute time it's

6:40

like there's nothing wrong with being

6:41

human in any event there are a lot of

6:44

similarities between FF and KB both are

6:47

great funds that have put up you know

6:49

incredible returns have funded iconic

6:51

Founders and companies but they're very

6:53

different KV is involved as early as

6:56

possible and FF is a momentum investor

6:58

and is maybe the best in the Planet as

7:00

at being a momentum investor so almost

7:02

every successful investment of Founders

7:05

fund over eight funds was invested at

7:08

$500 million or more in true valuation

7:11

and almost every single investment at KV

7:13

in eight funds was like the seed or

7:16

series a investment with very few

7:18

exceptions ever and so andreil and ramp

7:21

were the only exceptions at Founders

7:22

fund and at KD The Only Exception would

7:26

be stripe which I led in you know 2013

7:29

or so which is an order of magnitude

7:31

higher valuation than any KV investment

7:33

initial investment ever so KV is much

7:36

more an input driven organization

7:37

Founders funds much more output driven

7:39

and you know there's great technology

7:40

companies that are input driven think

7:42

Amazon apple and there's great

7:43

technology companies that are output

7:45

driven so you can choose but certain

7:47

people are going to be better in some

7:49

environments and other people are going

7:50

to thrive you know in other environments

7:52

i f in really really well at KV you

7:55

enjoy the early stage you enjoy year

7:57

zero year one year two

7:59

I'm very good at it you know I think I

8:02

prefer to invest as early as possible on

8:04

a keynote deck only like if I meet a

8:06

founder and there's a keynote deck

8:07

there's no product there's no metrics

8:09

that's my sweet spot because I also know

8:11

nobody else in Venture is good at that

8:12

nobody else is still active in Venture

8:14

what's the secret what's the secret from

8:16

a key note to a check it comes out a

8:18

Founder assessment at the end of the day

8:19

the only data point is is this founder

8:21

capable of building an iconic company

8:23

period And I prefer to compete when

8:25

there's no metrics because you all the

8:27

metrics are going to do is confuse you

8:29

that said there's a lot of investors who

8:30

are very good once there's product

8:32

metrics Financial metrics and so I have

8:34

to compete with people who are pretty

8:35

good at what they do so I'd prefer to go

8:37

as early as possible and then secondly I

8:38

like companyb building like I think part

8:40

of my role is to help the founder

8:43

increase the amplitude or probability of

8:45

success and I enjoy that at FF that's

8:47

very

8:48

controversial yeah ah right yeah the

8:50

founder Reigns Supreme and everybody

8:53

else is there to get out of the way

8:54

right yeah I've had both KV and FF as

8:57

investors lead investors in both climate

9:00

and at ohal now so I know both firms

9:02

really well and it's really I always

9:03

people always ask me about the

9:04

difference between the two that's always

9:05

what I get to it's like Founders fund

9:07

they have this kind of Mantra they find

9:09

great Founders and just get out of the

9:10

way let them run and they don't want to

9:12

be helpful that's not their objective

9:14

they feel like if they have to be

9:15

helpful it's not the kind of founder I

9:16

mean Keith obviously speaking outside of

9:19

yourself and then at kosla as you know

9:22

venod has been extremely and and the

9:24

whole team there especially climate and

9:26

always have always been extremely

9:28

helpful so adding board members

9:30

introducing commercial Partners being

9:31

like very traditionally proactive

9:34

participatory VCS on the board very

9:37

different both very valuable when I had

9:39

a board issue at Founders fund and there

9:42

were some board members that did not

9:43

like my strategy had issues with what I

9:46

was doing with the company at climate

9:47

Corp at the time Founders fund actually

9:50

stepped up and protected me and they got

9:53

the board the rest of the board together

9:54

to protect me uh in a way that was like

9:56

actually at a very kind of crucial

9:58

moment for the for the business

10:00

and as a result we had a massive exit

10:01

within a year I saw Brian singerman uh

10:04

is leaving so does anybody know which

10:07

ambassadorship he's taking I mean the

10:10

timing's a little interesting is it not

10:12

I don't know he's go compete with our

10:14

friend Kenny Howry yeah Ken Howry where

10:16

is he off to next hope hopefully some

10:19

great destination I'm sure I know we can

10:21

all crash yeah something warm this time

10:23

okay Sweden's a little bit much swed

10:25

I'll send in my wish list for you yeah

10:27

let's go like maybe like is there like

10:29

Turks and caos or something what about

10:31

an embassy tour we should do an embassy

10:32

tour this year St Barts do they have an

10:34

embassy there St Barts yeah that's a

10:36

great idea they don't unfortunately it's

10:37

a French protectorate but well you know

10:40

what everything's on the table now we

10:42

could make them the 51st second third or

10:44

fourth state I mean we're in the game

10:45

right now Canada is coming on board did

10:48

you not want to roll uh in the

10:49

administration yourself no you know the

10:51

than you I love politics if you you know

10:53

follow my Twitter feed I pay a lot of

10:55

attention I used to be involved in

10:56

politics before I got into TCH however

10:59

what I realized about where I am in my

11:01

career in Tech is if I stop doing what I

11:05

do I'm never going to come back like

11:07

technology is rapidly emerging we're

11:09

going to talk about all the latest

11:10

developments this week like you can't

11:12

take your foot off the gas and the

11:14

network building parts of venture for

11:15

two to five years and come back when

11:17

you're like 50 years old and so I felt

11:20

like I'm not ready to give up on Venture

11:22

I'm in like the prime of my Venture

11:23

career I'm only 12 years in actually

11:25

chth so figure five 10 more years like

11:28

is is The Sweet Spot and so I'd like to

11:30

see the companies I was involved in grow

11:32

up become public companies Etc and I

11:34

didn't feel like I could ever come back

11:36

if I quit at some point when I like to

11:38

get involved in politics probably yes

11:41

but it's a decade out well the

11:44

household's involved uh big announcement

11:46

your husband Jacob is joining the

11:49

administration maybe you could tell us a

11:50

little bit about that obviously very

11:53

proud of that yeah it's extremely

11:55

exciting for him obviously for the

11:57

country I think which is he's going to

12:00

be the chief economic officer really for

12:03

the for the for the country his job is

12:05

to build foreign policy from the

12:08

business standpoint which if you think

12:09

about it what's the foundation of power

12:11

in the world it's economic success why

12:13

did the United States win World War Two

12:15

is we had an economic Engine That Could

12:17

outcompete Germany plus Russia plus

12:19

Japan we could build more tanks you know

12:21

blah blah blah blah Etc and so the

12:23

economic engine is critical to this

12:25

Administration obviously Trump

12:27

understands that we had a great three

12:29

years under his first Administration as

12:31

he likes to say best economy ever before

12:33

covid which may you know may be true and

12:36

we need to rebuild American strength and

12:37

Jacob's job is to export that you know

12:40

philosophy and sometimes you can build

12:42

economic strength through working

12:44

through Foreign Affairs and so that's

12:46

his main job is to be the primary Point

12:49

person under

12:50

Secretary of economic Affairs and then

12:52

they've got a bunch the Democrats and

12:54

the W people added a bunch of other

12:56

things to the title it used to be just

12:57

under Secretary of State for economic

13:00

um and they added like a you know

13:01

environment and all these politically

13:02

correct things so hopefully they'll

13:03

subtract all that stuff and just go back

13:05

to under Secretary of State for economic

13:08

Affairs and interestingly what what's

13:11

turning out to be interesting as Trump

13:13

assembles this group I love to get the

13:14

panel's thoughts on it is not everybody

13:16

thinks the same Jacob's position on Tik

13:19

Tok which we'll get to in this show very

13:21

different than some other people in the

13:24

administration and even Trump himself

13:25

flip-flopped a little bit on that so

13:28

what are your thoughts as we get started

13:30

here just

13:31

on that assembly of people you know

13:35

including saxs obviously who couldn't be

13:36

here this week but we'll be on future

13:38

episodes there's your announcement folks

13:41

what are your thoughts on that the sort

13:42

of diversity and opinion in the

13:46

administration and how that all sorts

13:47

out because some people exem exciting I

13:50

think it's very obvious watching from

13:51

afar that the way Trump makes decision

13:53

is he likes to ask a lot of people a lot

13:55

of different questions and then he makes

13:57

the decision that's why

13:59

to some people the media enem is very

14:03

unpredictable is he doesn't just take

14:05

one source of input and so you can never

14:08

totally predict the output but he arrays

14:11

an interesting cast of characters and

14:13

listens to them like so for example I

14:15

haven't spent that much time with him

14:17

but in so far as I have he would go

14:19

around the room and ask every single

14:20

person a dinner what's your view on act

14:23

and literally go around the room of 28

14:25

people and listen to every single person

14:28

so I think that's how he makes decisions

14:30

X being a topic not the website X not X

14:33

yeah everybody knows what op I think he

14:35

likes X chth any thoughts on this um The

14:38

Wider team as we see it get assembled we

14:40

obviously don't have saxs here he joined

14:41

the team but just your thoughts on the

14:44

collection of characters and Executives

14:48

here's an interesting tweet that I saw

14:50

Nick can you just share it with the with

14:52

the guys oh net worth of each one

14:54

now the reason why it was interesting to

14:57

me was not the net worth per se but I

15:00

think this is the first time that I can

15:03

remember in modern history at least that

15:05

I've been in the United States and

15:07

following us politics where such an

15:10

enormous number of business people have

15:13

been motivated to come and work inside

15:16

of the administration and I think that

15:18

it creates this very interesting

15:22

contrast and compare I think that the

15:24

Democrats would never have assembled a

15:26

group of people like this even though

15:29

the Democratic party has a version of

15:31

this chart that they could have made

15:33

there's a lot of extremely talented

15:35

business people that support the

15:37

Democratic party the problem is that

15:40

they believe it's deeply

15:42

unfashionable to get strong competent

15:45

business people to take a pause in their

15:47

business career and come work in

15:49

government and you almost look down on

15:50

people that are successful whereas the

15:53

Republican alternative Here If it

15:56

creates a movement so to speak so that

15:59

subsequent presidents tap folks on the

16:02

shoulder I think we'll be much better

16:03

off and the reason is pretty simple I

16:06

think that the United States economy is

16:08

too complicated to be managed by

16:11

theoreticians by folks with random phds

16:15

in absolutely no working experience in

16:18

the real world and when you bring those

16:20

people in to oversee those phds I think

16:23

you probably get better outcomes so I

16:25

hope this becomes a standard which is

16:27

ask these very talented clearly

16:30

demonstrated successful people with

16:32

judgment to hit the pause for a year or

16:35

three or five whatever it is step into

16:38

government help the country and then go

16:40

back and this was what the founding

16:43

fathers Dave actually prescribed this is

16:47

what they wanted they wanted people who

16:49

were in business to do a tour of Duty to

16:51

serve their country and then to get out

16:52

they were not interested in career

16:54

politicians correct I've said this a

16:57

number of times but of the founding

16:59

fathers had jobs had professions and

17:02

they stepped in to serve their country

17:05

as a civic duty participated in the

17:08

process of executing the the

17:12

responsibilities of government and then

17:13

stepped out and went back to their

17:15

private lives I think it is such a more

17:17

powerful model for government than

17:20

people who choose to to be politicians

17:23

to represent people as a living because

17:26

it creates extraordinarily nasty and

17:28

incentive structures if that's the model

17:30

which is for example to Curry favor With

17:34

Private Industry participants and then

17:36

go cash that favor in after you leave

17:38

and I think that this alternative where

17:40

you have people who are everyone looks

17:41

at them oh they're all billionaires and

17:43

so on they're actually as because

17:45

they're independently wealthy and they

17:46

have enough money than they'll ever

17:47

spend I think Larry pagee once said you

17:49

can never spend more than a billion

17:50

dollars in your life no matter how hard

17:52

you try it's literally impossible people

17:54

think like oh you could spend all that

17:55

money actually when you buy stuff most

17:56

of the stuff you buy are capital assets

17:58

that you end up selling later it's very

18:00

hard to spend at that level so when you

18:02

have people that are truly independently

18:04

wealthy their motivation is actually

18:06

quite different than someone who's

18:08

trying to make it from 100K to 500k of

18:11

net worth or 50k to a million of net

18:13

worth and I think it actually creates a

18:15

higher degree of freedom and it aligns

18:18

the people much more in the long-term

18:20

outcome of government rather than their

18:21

own personal interests and they're just

18:24

smarter so I'll give you a a simple

18:27

example maybe we'll talk about this

18:29

later jcal I'm not sure but when I saw

18:31

the doj's theoretical guidance on the

18:35

Google antitrust

18:37

matter their idea is to divest the

18:41

browser and I kind of scratched my head

18:44

thinking would any reasonable business

18:47

person think that that was the right

18:49

remedy meanwhile three weeks later

18:52

Google's like here's a super chip in

18:54

Quantum Computing here's a Quantum

18:56

Computing that breaks the world yeah and

18:58

thought how is it that these folks are

19:00

so disconnected from reality that they

19:02

don't understand what's actually sitting

19:04

inside this company and I think it's in

19:06

part because they don't know the right

19:08

questions to ask and the reason they

19:10

don't know what the right questions to

19:11

ask is they've never worked in the real

19:14

working world we have a professional

19:16

class of politicians and and their

19:18

understanding is 10 years old but it's

19:20

not just politicians this is also

19:21

bureaucrats so my point is these folks

19:24

need to get off the sideline and work in

19:26

a company for a while know the ballot

19:29

they'll be much better able to guide

19:32

these Regulatory Agencies if they

19:34

actually just know what's going on so if

19:35

the right answer is some

19:38

antitrust issue with a company where you

19:41

need to divest wouldn't it be great

19:43

where like a 100 smart businessmen

19:45

looked at that said that makes sense but

19:47

let me give you the counter to that jth

19:49

because the counter to that which it

19:50

comes up a lot just so you can like

19:52

frame the response is why are all these

19:55

people coming out of Pharma companies to

19:56

regulate Pharma why are all these people

19:58

coming out of big a companies to

19:59

regulate big a why are all these people

20:01

that come from energy companies coming

20:02

to regulate energy the common refrain is

20:05

business people are basically bringing

20:08

business interests into the government

20:10

by transporting themselves into these

20:12

regulatory bodies versus having career

20:15

politicians or what you call bureaucrats

20:16

be kind of independent regulatory

20:18

authorities so what's the response in

20:19

that context to that that refrain

20:22

they're absolutely right and that's how

20:24

it should work the United States can no

20:26

longer afford to be a bleeding piggy

20:29

bank for bad ideas so yeah like if a

20:33

bureaucrat thinks the right thing to do

20:35

is to divest a random browser to fix

20:39

Google's monopolistic Tendencies that's

20:42

not a remedy or spend tens of billions

20:44

of dollars on a super on a high-speed

20:46

rail like you were talking about earli

20:48

this week this is not logical it's not

20:50

meaningful it's misguided so if what we

20:54

want is kindergarten soccer where

20:56

everybody gets to touch the ball that's

20:58

what we are getting right now which is

21:00

it's not useful so I would rather have a

21:04

business person with a direct point of

21:06

view and by the way with the level of

21:08

transparency the big issue I guess fre

21:10

Brook that that would create is could

21:12

these people Advantage themselves

21:14

somehow to make more wealth but the

21:17

reality is that would be so obvious and

21:20

laid bare what happens today is they

21:22

burrow at this midlevel of an

21:24

organization and they do exactly this

21:26

but it's not laid bare yep so I'd rather

21:29

be a transparent where some guy tries to

21:31

take the government for $500 million and

21:33

we castigate that person than what's

21:36

happening today which is you slip in the

21:39

back door you get paid four 500 Grand

21:41

from a company then you come back to the

21:43

government then you go back nobody knows

21:45

who these people are Nobody Knows the

21:47

decisions they're making and they're

21:49

altogether misguided because they're not

21:51

grounded in an understanding of the real

21:53

economy Keith where do you fall yeah

21:56

well I share actually you're both right

21:58

in some ways if you look at what who's

22:00

Trump's picked these successful people

22:02

they're not typically being assigned to

22:04

Industries they came from so it's not

22:06

like he's taking drug you know he's

22:08

actually taking the opposite like think

22:09

of RFK for

22:11

example so actually I think you can take

22:13

successful people who have proven

22:15

themselves through Merit like I think

22:17

what that's one of the other benefits of

22:20

the real world is the only way you get

22:21

ahead is you're in a darnis experiment

22:24

with other people that are comparable

22:26

and to be successful you have to out

22:28

think outwork Etc and that shows up

22:31

ultimately in promotions and net worths

22:34

and various other metrics so Trump has

22:36

taking a lot of successful people and I

22:38

think we want a society where we Aspire

22:40

for our kids to be successful we want to

22:42

emulate successful people that needs

22:44

more that will yield more success like

22:46

having Elon involved in the government

22:48

will yield more success than you know if

22:50

you penalize successful people you'll

22:52

get you stigmatize it you get less of so

22:55

I think if you transplant successful

22:56

people into industries that they're not

22:58

from and that they have no interest in

23:00

going to after the government you might

23:01

get the best of both worlds because I

23:04

can see some of the critiques of you

23:06

know you're regulating you know your

23:08

friends companies and you're going to

23:09

make money later that said most of

23:11

Trump's people are not going to do that

23:13

you can also pass laws like you know you

23:15

can't Lobby you can't work for for X

23:17

years after there's also this great data

23:19

point I think it's in the last 60 years

23:21

Trump is the only president whose net

23:23

worth went down after office every other

23:26

president that you know took a

23:28

relatively modest net worth or mediocre

23:30

net worth and turned it into the

23:32

stratosphere so you think about the

23:34

president as the you know signature

23:36

example it's great that Trump like is

23:38

setting the opposite illustration well I

23:41

mean we've discussed this on the other

23:43

pod Keith a couple of times which is

23:44

domain expertise can be an ankle for a

23:48

Founder you know you got a founding team

23:50

that works in the hotel business they're

23:51

going to look at something like Airbnb

23:53

and say this will never work you got

23:54

somebody who worked in transportation

23:56

they're going to look at Uber and say

23:57

that'll never work look at PayPal if

23:59

they worked in finance and they did say

24:00

to you and the team that's never going

24:03

to

24:03

work yeah I mean I think it's critical

24:06

adventure to not really fall for that

24:08

trap I always mention that I don't like

24:10

people with um expertise typically as

24:14

Founders uh I think and when I call Dil

24:17

due diligence and call experts I only

24:19

ask one question which is what is

24:21

metaphysically impossible about this

24:23

working like is there a law of physics

24:25

that I don't understand that makes this

24:27

actually possible and if they can't

24:29

isolate a very specific principle that

24:33

makes it or fact that makes it actually

24:34

impossible then I just ignore everything

24:36

they say and you know write a cheat yeah

24:39

because it it's just all Vibes and

24:40

opinions Etc so well they're experts in

24:42

a prior world right they've learned why

24:44

not and this is actually like to combine

24:46

a couple topics here the reason why

24:48

Trump is so effective so the most

24:49

interesting question to me over the last

24:51

year was how is this guy who everybody

24:54

in the media and everybody in you know

24:56

the legal groups of various things is

24:58

trying to attack and hatte and all these

24:59

people publish these you know books why

25:02

is he on the price of being elected

25:03

president of the United States twice you

25:04

must have a superpower or two most

25:07

people do not get elected president of

25:08

the United States twice and most of the

25:10

people who are attacked by everybody who

25:12

has power in the establishment

25:13

definitely do not get elect the

25:14

president so what it come came down to

25:17

and I interviewed a lot of people who

25:18

are critics of him but knew him well

25:20

like ex-cabinet people that don't like

25:21

him comes down to he just asks a lot of

25:24

why like why do we do this why do we

25:26

have to do it this way why have we done

25:28

this way and it turns out in politics

25:30

and in DC most of the answers are pretty

25:32

mediocre or weak or poor or haven't been

25:34

rethought for 20 30 40 50 60 70 years

25:37

and so he just constantly Dives in and

25:39

says why why why why and that's actually

25:41

what predicts success for Founders is in

25:44

a domain they don't know anything about

25:45

they're just like why why do we take

25:47

these Hotel things for granted in the

25:48

Airbnb case why should they be so

25:50

expensive why should scarcity you know

25:52

Prevail in New York for four months of

25:53

the year etc

25:55

etc all right let's get to our docket we

25:57

got a ton of stuff to get to Google's

25:59

new Quantum chip is super impressive

26:02

freeberg and I were talking about that

26:04

on the group chat on Monday Google

26:06

announced its latest Quantum chip it's

26:08

called Willow here's the chip if you

26:10

haven't seen it it's uh beautiful it was

26:13

fabricated in Google's new chip plant in

26:15

Santa Barbara they started this project

26:17

back in 2012 their Quantum Computing

26:19

project

26:20

and the headline basically is Willow

26:22

performed a standard Benchmark

26:24

computation under five minutes that

26:25

would have taken today's fastest

26:27

Supercut 10 septian years or 10 to the

26:30

25th power which is billions of times

26:32

older than the universe if you don't

26:34

know what Quantum Computing is freeberg

26:36

will expand on it but basically

26:38

computers are binary you've heard this

26:40

before one and zeros quantums use cubits

26:42

you know those are Z1 or both at the

26:44

same

26:46

time and uh Google got a a 5% pop

26:51

they're up 13% in the last 5 days

26:54

probably on the other news that Gemini

26:55

2.0 is out as well which is unbelievable

26:58

have been playing with it what do you

27:00

think freedberg of this big announcement

27:03

Google's

27:04

announcement is a paper published in

27:07

nature that follows a pre-print they

27:09

actually put out in August so this news

27:11

has been out for a little bit there's

27:12

obviously a press cycle this week around

27:13

it to kind of make a big thing about it

27:16

but it is a very kind of important

27:19

milestone in the evolution of quantum

27:23

Computing so do you want me to kind of

27:25

talk about Quantum Computing again I

27:26

think we've talked about this in the

27:27

past I mean maybe a brief primer for

27:29

people but like what what does this mean

27:31

practically I think what people want to

27:33

know is when did these things actually

27:36

have an impact in the way say nvidia's

27:38

gpus have had yeah the big breakthrough

27:40

here is that the whole basis of a

27:43

quantum computer is called a qbit or

27:45

Quantum bit it's radically different

27:47

than a bit a binary digit which we use

27:49

in traditional digital Computing which

27:52

is a one or a zero a Quantum bit you can

27:55

kind of think about it as a wave

27:56

function it's sort of a Quantum state of

28:00

a of a molecule and if we can contain

28:04

that Quantum State and get it to

28:06

interact with other

28:08

molecules based on their Quantum State

28:11

you can start to gather information as

28:14

an output that can be the result of what

28:17

we would call Quantum computation and

28:19

that sounds complicated but what it

28:21

really means is that instead of doing

28:22

kind of binary computation where we're

28:25

adding numbers together or doing kind of

28:26

other traditional

28:28

arithmetic there are really interesting

28:30

functions you can do with cubits cubits

28:33

can for

28:34

example be entangle so two of these

28:38

molecules can actually relate to one

28:40

another at a distance they can also

28:42

interfere with each other so canceling

28:44

out the wave function and then when you

28:46

read it out you get a a result that is

28:49

basically a very very complex problem

28:52

that is solved through this Quantum

28:56

interpretation it's really hard to of

28:58

highlight how different this is from

29:00

traditional Computing so Quantum

29:02

Computing creates entirely new

29:04

opportunities for algorithms that can do

29:06

really incredible things that really

29:08

don't even make sense on a traditional

29:10

computer they're not possible to kind of

29:11

resolve on a traditional computer and

29:13

sorry let me just State one thing the

29:15

quantum bit needs to hold its state for

29:18

a period of time in order for a

29:19

computation to be done and so the Big

29:22

Challenge in Quantum Computing is how do

29:24

you build a quantum computer that has

29:26

multiple cubits

29:28

that hold their state for a long enough

29:30

period of time that they don't make

29:33

enough errors that you can actually do a

29:35

computation with them so what Google was

29:37

able to demonstrate here is they created

29:39

these call

29:41

it logical cubits so they put several

29:44

cubits together and by putting several

29:46

cubits together they were able to kind

29:47

of have an algorithm that sits on top of

29:49

it that figures out hey this this group

29:51

of physical cubits is now one logical

29:54

Cubit they balance the results of each

29:56

one of them so each one of them has some

29:57

error

29:58

and as they put more of these together

30:00

what they were able to demonstrate for

30:01

the first time ever is that the error

30:03

went down so when they did a 3X3 Cubit

30:07

structure the error was higher than when

30:09

they went to 5x5 and then they went to 7

30:10

by seven and the error rate kep going

30:12

down and down and down so this is an

30:14

important Milestone because now it means

30:16

that they have the technical

30:18

architecture to build a chip or a

30:20

computer using multiple cubits that can

30:22

all kind of interact with each other

30:24

with a low enough fault tolerance or low

30:26

enough error rate that they can start to

30:27

do these Quantum calculations this is a

30:30

a big area of opportunity one of the

30:32

very interesting areas that a lot of

30:33

people are talking about is in

30:35

cryptography so there's an algorithm by

30:38

a

30:39

professor who was at MIT for many years

30:41

named sh it's called sh's algorithm and

30:43

in 1994 1995 I think around that time he

30:47

basically came up with this idea that

30:48

you could use a quantum computer to

30:51

factor numbers almost instantly and all

30:55

modern encryption standards so all of

30:57

the RSA standard everything that

30:59

bitcoin's blockchain is built on all of

31:01

our browsers all server technology all

31:04

computer security technology is built on

31:07

algorithms that are based on number

31:10

factorization so if you can factor a

31:12

very large number a number that's 256

31:14

digits long theoretically you could

31:17

break a code and it's really impossible

31:20

to do that with traditional computers at

31:21

the scale that we operate our encryption

31:23

standards at today but a quantum

31:25

computer can do it in seconds or minutes

31:28

and that's based on Sha's algorithm and

31:30

if you want there's some great YouTube

31:31

videos that describe sh's algorithm and

31:33

how it works but it's like mind-blowing

31:35

when you look at it it's like this

31:36

really like non-intuitive but simple set

31:39

of steps that when you put them together

31:41

on a quantum computer it's like this

31:42

thing can instantly figure out all the

31:43

factors and then you can break a code

31:45

one of the things that this highlights

31:46

is that in a couple of years

31:47

theoretically if Google continues on

31:49

this track and now they build a large

31:50

scale cubid computer they theoretically

31:52

would be in a position to to start to

31:55

run some of these Quantum algorithms

31:57

like shortes algorithm

31:58

and so we're now kind of spitting

31:59

distance or a couple of year it's not

32:01

really clear is it three years five

32:02

years seven years but a couple years

32:03

away from having computers that

32:05

theoretically could crack all encryption

32:07

standards and there are a set of

32:09

encryption standards that are called

32:10

postquantum encryption and all of

32:12

computing and all software is going to

32:13

need to move to post Quantum encryption

32:15

in the next couple years so there's like

32:16

this big kind of push now to like how do

32:18

we do that how do we accelerate it I saw

32:19

Sundar post it I saw it in my feed I

32:23

ended up missing my next meeting because

32:26

I had to figure out how long will it

32:27

take for us to crack the encryption

32:29

standards that we use for Bitcoin Nick

32:33

here's the answer because I was so

32:34

tilted by this idea

32:37

so if you think of Willow as essentially

32:41

like one stable logical Cubit

32:45

equivalent in a chip we need about 4,000

32:50

to break RSA 2048 and we need about

32:52

8,000 to to break sha 256 which is the

32:55

underlying encryption framework for

32:57

Bitcoin

32:59

so I think you're right I think we're in

33:01

the sort of like the end game two to

33:04

five year shock clock no I mean I think

33:06

what'll have to happen is some of these

33:08

chains will need

33:09

to obviously reimplement something at a

33:12

pretty foundational

33:15

level the weird thing as free Brook says

33:17

is like the willow chips error

33:19

correction gets better the more of these

33:22

things you start to use together now

33:26

there are some really big problems in

33:27

see inside these chips like logical

33:29

interconnects are very complicated if

33:31

you put two chips on a board like the

33:33

ctoc communication is comp this all this

33:35

stuff that we haven't figured out how to

33:36

do but this is a big deal and I was I

33:40

was really like my God what's going on

33:42

here other projects at Google are

33:45

finally Landing you have whc and you

33:48

have this now I mean project Lon might

33:50

be gone but you know I think those

33:53

projects we're going to see a couple of

33:54

them change the world yeah just to give

33:56

you a sense on the numbers like Google's

33:58

Target for fault Tolerance on a Quantum

34:00

chip to make it logically useful is 1 *

34:03

10 -6 right now this Willow chip is kind

34:07

of running at

34:09

99.7% so it's still a few orders of

34:12

magnitude away they have a long way to

34:14

go in getting the fall tolerance low

34:16

enough to actually build uh logical

34:19

Gates using cubits that can resolve kind

34:21

of computational output and so there's

34:24

still there's still a build cycle ahead

34:25

and that pathway is a little bit unclear

34:27

but what they've shown is this almost

34:28

feels like the shockly transistor moment

34:30

it's

34:31

like you know here's this this

34:33

transistor now everyone's like you have

34:35

a lossy transistor and then you'll

34:36

figure out P injunctions you'll figure

34:38

out all of these ways of just like

34:40

getting the error correction down but by

34:42

the way this reinforces what you said

34:44

before which is it's hard for an

34:45

outsider like us to comprehend what's

34:49

really happening inside of Google

34:51

because the business they built was able

34:52

to fund this I mean and and I I went

34:55

down a rabbit hole because I'd never

34:56

heard of who this guy was that that runs

34:58

his helmet Nevan he's in Santa bar they

35:00

have a whole team in Santa Barbara

35:01

they've been running for like 10 years

35:03

he has his own law nevan's law and then

35:05

I went down the rabbit hole of that but

35:07

what's amazing is so valuable for

35:09

Humanity Google had the money to fund

35:11

him for the last 12 years exactly and

35:14

the greatest money printing machine of

35:16

all time is paying dividends yeah but

35:18

isn't it great to know that Google takes

35:21

these resources from search and sure

35:25

maybe there's waste and or maybe they

35:26

could have done better with the black

35:29

George Washington or maybe they could

35:30

have done better with YouTube but the

35:33

other side is they've been able to like

35:36

incubate and germinate these brilliant

35:38

people that can toil

35:40

away and create these important step

35:44

function advances for Humanity it's

35:47

really awesome Deep Mind is on that list

35:49

as well Keith what are your thoughts de

35:50

mind yeah yeah so I I think first of all

35:53

I think there's a long time before this

35:55

becomes a commercial product or

35:57

application of any sort so you know it's

36:00

great that they're taking money but

36:01

think about it like almost like Stanford

36:03

takes money or the US government funds

36:05

basic research in some ways this is at

36:08

least a decade out kind of thing um

36:10

there's another I mean this area Way

36:12

Beyond my expertise but I've been

36:13

talking to a lot of smart people because

36:14

I do do Financial Services Innovation

36:16

and obviously encryption is pretty

36:17

critical whether it's Bitcoin or other

36:19

places and there's a couple concerns one

36:22

is it's not even clear that you can

36:25

verify that this is true um by the way

36:27

like Computing to explain sort of the

36:29

magnitude of difference standard

36:31

Computing would take 10 to the 25th

36:34

years uh to verify that what uh Google

36:37

analys is accurate so there's a chance

36:39

that it's not even true for the thing

36:41

for the for the sampling test they ran

36:44

yeah to 20 50 number of years that's the

36:48

big I think hole in the whole RCS

36:50

Benchmark that they use that it only is

36:52

it's a it's a framework that only a

36:53

quantum computer could theoretically

36:55

even so how how you know the answer is

36:57

correct is I guess the question it takes

37:00

that long to solve and then to be

37:01

practical like so assuming you solve all

37:03

this and it's accurate and blah blah

37:04

blah you make it fast all second then

37:07

there is the postquantum Computing

37:08

encryption which you know a lot of

37:11

people a lot of things a lot of

37:11

important things have switched over to

37:13

so you have historical

37:15

Communications that were encrypted under

37:17

an old Paradigm that would be vulnerable

37:19

and you know every year that goes by

37:21

like the embarrassment level or the

37:23

threatening level of old historical

37:25

Communications will probably has some

37:26

Decay function or some halflife so if it

37:29

takes another 10 years Communications

37:31

that were drafted 20 years ago yeah

37:33

there'll be some embarrassing things and

37:34

blah blah blah blah but the more time it

37:36

takes the more safe you know sort of

37:38

private Communications and exchanges

37:40

will be so I think that's positive

37:44

third is there's a question of order

37:47

magnitude here you mentioned you need

37:49

like three orders of magnitude sort of

37:50

improvement is each step function you

37:52

know incrementally easier and faster or

37:54

is each step function you know 10 years

37:57

and I don't know that anybody knows the

37:58

answer to that that's right that's right

38:01

yeah a lot more work here to to to be

38:04

done you're not buying any Quantum

38:05

Computing stock yet uh not yet we have

38:08

looked at KB you know talk about like

38:10

technology forward you know VCS over the

38:12

years I've sat three partner

38:14

presentations and we've never really

38:16

pulled the trigger um there's other

38:18

reasons like including like even if you

38:20

have Quantum Computing you have to

38:21

rewrite software on top of it uh from a

38:23

different it's a completely different

38:25

you know world and who know nothing Maps

38:27

nothing m at all so you're starting from

38:29

scratch so you have an application layer

38:31

which might be actually an interesting

38:32

business

38:33

opportunity yeah how are these things

38:35

actually going to be coded and how our

38:37

developer is going to interact with them

38:38

if at all Maybe by that time it'll just

38:40

be AI running how do you build a

38:41

compiler who the hell knows how do you

38:43

build language properly these are all

38:45

complicated yeah Who's Gonna Write the

38:47

basic who's gonna write like the

38:48

Microsoft basic the interesting thing is

38:50

there's a lot of work that's been done

38:51

in the space like thinking about Quantum

38:53

Computing and Quantum algorithms is like

38:56

an entire Branch people do spend a lot

38:58

of time thinking about this and working

38:59

on this and there are ways you can kind

39:00

of simulate and test and start to build

39:03

out models for how you could utilize

39:06

quantum computers but obviously we just

39:08

don't have you know industrial scale

39:10

systems at this point there was one

39:14

Interstellar Marvel Easter egg in their

39:17

announcement that I wanted to get your

39:18

thoughts on freeberg Google said that

39:21

this massive jump in performance quote

39:23

lends Credence to the notion that

39:25

Quantum computation occurs in many

39:27

parallel universes in line with the idea

39:30

that we live in a Multiverse so is that

39:34

somebody in PR is high AF or reads too

39:40

much science fiction you know you know

39:41

the crazy down for us so the crazy thing

39:44

about quantum physics is such a mind

39:47

have you guys taken quantum mechanics

39:49

like have not I have yeah I remember the

39:51

summer I took it like the quantum the

39:54

first quantum mechanics class and I was

39:55

like glad it was a summer course you

39:57

really have to like think like pretty

40:00

deeply about what you learn in quantum

40:02

mechanics there's just nothing about it

40:04

that's intuitive like the way we kind of

40:06

think about the world is not the way the

40:09

quantum World operates in the case of a

40:12

cubit as soon as you measure the Cubit

40:14

it collapses to a value if you try and

40:17

measure it if you try and look at it it

40:18

goes to zero or one the probability by

40:21

which it goes to zero or one is defined

40:23

by you know the the quantum state right

40:25

at the moment You observe it it's just

40:27

such a mind so effectively this thing is

40:30

existing in a super position in multiple

40:33

States at the same time until you try to

40:35

observe it and that's the case of

40:37

quantum mechanics so what's kind of

40:39

happening I think in that

40:41

language jcal is nothing novel was kind

40:44

of discovered or represented that's just

40:46

quantum mechanics it's a mind and you

40:48

could go watch hours of YouTube videos

40:50

if you want to like get taken down the

40:52

Mind Rabbit Hole of quantum mechanics

40:53

and realize like one thing I've always

40:56

found fascinating about this discipline

40:57

is that looking at a cubit changes it

41:02

like it understands it's being particle

41:05

there's a slit experiment and if you try

41:07

and observe a light as a particle versus

41:11

a wave it actually changes what happens

41:14

what the the outcome is of it being a

41:15

particle or a wave same with electrons

41:17

the thing about quantum mechanics is the

41:19

observation of a particle changes what

41:21

happens serious

41:24

question serious question here it comes

41:26

here Buckle in when you look at the the

41:29

quantum bit can you get a better idea of

41:33

the scale of Uranus let's move on no

41:36

let's move i s jamat was doing a joke he

41:39

was queuing up a joke at the same time

41:42

no I was I was thinking about

41:43

Schrodinger's cat that's like a another

41:46

ridic ridiculous thought experiment that

41:48

when you you go the same concept it's

41:50

the same qu the quantum state of the

41:53

cat is it's both in the box and not in

41:55

the Box you don't know whether it's in

41:56

the box

41:58

until you open the box and then you open

41:59

the box and there's a x probability that

42:01

it's in the Box X probability it's not

42:03

in the box but when when you don't see

42:04

it it's both it's

42:07

both and if you're a cat lady you have

42:09

three of those boxes and I'm a dog

42:13

person well we got more engagement from

42:15

Keith on that science Corner than we

42:16

have

42:17

from so he's more he's more open science

42:23

inness I need to I need to Def they both

42:26

said

42:27

this is stupid and I'll never touch it

42:30

except Keith was Kinder and more

42:32

articulate in getting

42:34

there would have just been snoring yeah

42:38

he would have done this he would he

42:39

would have done his move where he goes

42:40

stupid and then like he

42:43

would next topic there's an advantage of

42:46

Monday partner meetings is I get to

42:48

watch the science fiction stuff you know

42:49

every week if I don't really understand

42:51

it but like a decade of watching science

42:54

fiction you pick up some tricks

42:57

you play chess with Peter teal while

42:59

that discussion is going oness actually

43:01

so I don't play Chess at all ever Okay

43:04

the reason why is if I do something I

43:06

want to be really proficient at it and I

43:07

don't have the time got it got it also

43:09

you have a life you have a life yeah I

43:11

like to do other things things in the

43:13

real worlda big big shout out to gesd my

43:17

my my Indian friend 18 years old new

43:19

world champion I saw

43:22

Champion yeah know world champion did

43:25

was he playing Magnus is that

43:28

every Brown guy that's done any random

43:31

useful thing in the world we all know

43:32

each other we're in a huge group chat oh

43:34

is it really yeah how it is the name of

43:37

the group chat isn't like the top 10

43:39

tech companies the group chat's name is

43:41

what can Brown do for you what can Brown

43:43

do for you okay there it is also UPS is

43:47

filing a treadmark infringement case hey

43:50

um speaking of Chip news apple is making

43:52

its own AI server chips for internal use

43:55

a report just came out that broadcom and

43:58

tsmc are helping them develop AI

44:01

inference chips you know inference chips

44:03

like rock uh H moth and there are

44:06

obviously gpus like Nvidia gpus those

44:09

are like the giant dump trucks that help

44:11

you build large language models these

44:13

infrin chips are kind of like speeder

44:15

bikes you know motorcycles quickly

44:16

getting you the results from those same

44:18

ones it's called balra btra I don't know

44:21

what that's in reference to mass

44:23

production in 2026 they don't plan on

44:25

selling the chips they don't plan on

44:27

cloud computing the reason they're doing

44:30

this obviously is because they really

44:32

want the iPhone to be the interface and

44:35

they have planted their flag that they

44:37

want to have privacy and have ai working

44:41

off of your local device and not having

44:43

access to your data but having a

44:45

compelling AI experience gosh my my

44:48

iPhone does not work I'm sorry I'm just

44:50

going to say it okay I don't know what

44:52

happened in you upgraded your software

44:54

is what happened you're on iOS 18 it

44:55

doesn't work I after 3 years I upgraded

44:58

to the newest phone I upgraded to the

45:00

newest OS the phone doesn't work meaning

45:02

like to call people I can't call my wife

45:04

anymore I can't call my kids anymore the

45:07

phone bricks constantly my photos app

45:09

doesn't work it is just really bad and I

45:12

think for a company of this scale I

45:13

don't understand how it does not go

45:15

through a more complicated test harness

45:17

that catches all of this I'm I'm not

45:20

trying to complain but because I know

45:21

it's hard for them and I know it's

45:22

complicated and but it's really bad

45:25

you're not the only person people are

45:27

freaking out about the infras changes on

45:29

photos crashing is a major thing and

45:32

apple intelligence just doesn't work so

45:34

it does seem Keith that Apple has gotten

45:37

off their game of making Polish stuff to

45:40

race to try and I guess catch up to

45:42

their perception of you know AI being a

45:46

disruptive Force at the interface level

45:48

I.E your phone or desktop what what are

45:50

your thoughts on uh this new story about

45:52

them doing more chips they've obviously

45:54

had great success with the processors

45:56

and phones now the M4 incredible if you

45:59

haven't tried the Mac Mini best computer

46:00

for the dollar in the world right now

46:02

but what are your thoughts on Apple so

46:04

the most important thing about Apple is

46:06

to remember it's vertically integrated

46:08

and vertically integrated companies when

46:10

you construct them properly have a

46:11

competitive advantage that really cannot

46:14

be assaulted for a decade 20 30 40 50

46:17

years and so chips classic illustration

46:20

go all the way down to the metal in

46:22

build a chip that's perfect for your

46:24

desired interface your desired use cases

46:26

your desired UI and nobody's going to be

46:28

able to compete with you and if you have

46:30

the resources that you know because you

46:31

need balance sheet resources to go the

46:34

chip Direction um it just gives you

46:36

another five to 10 year sort of

46:38

competitive advantage and so I love

46:40

vertically integrated companies uh you

46:42

know I posted a pin tweet I think it's

46:43

still my pin tweet about vertically

46:45

integrate is the solution to the best

46:48

possible companies uh but it's very

46:49

difficult you need different teams with

46:51

different skill sets and you need

46:52

probably more money truthly more Capital

46:54

but Apple's just going to keep going

46:56

down the vertical integration software

46:57

Hardware you know all day long and

46:59

there's nobody else who does hardware

47:01

and software together in the planet

47:03

which is kind of shocking in some ways

47:04

is there a world class company a company

47:07

that's world class it's both software

47:08

and Hardware other

47:09

than yeah maybe

47:12

Nvidia well may not really could they do

47:16

a world class UI you know maybe maybe

47:18

there's a foundation you have have a

47:20

different Vision maybe a different team

47:22

not clear Tesla's close I guess I'd say

47:25

the software's

47:27

good if you Define software as it

47:29

touches a

47:30

consumer Tesla Apple in some ways

47:35

Google maybe meta with the meta

47:38

glasses trying trying attempting you

47:41

can't say Nvidia because I think Nvidia

47:43

touches the consumer through an app that

47:45

then sits on top of Cuda which I think

47:47

is that's a brilliant strategy for them

47:50

but it's it be apple then Tesla and then

47:53

a long tail of people right anyway the

47:56

point a lot of competitive advantages

47:59

that they you know been actually

48:00

leveraging for about 15 years now and

48:02

even back then Steve there's some old

48:04

great Steve videos I I'll see if I can

48:06

find you a clip where he talks about

48:08

this very intentionally from the 1990s

48:11

you know when he came back to Apple he

48:12

said we're doing vertical integration

48:15

basically using those words of software

48:17

and hardware and there's going to be

48:18

nobody else that can compete with us I

48:20

think it's in an interview he did in

48:22

it's published in uh in the company of

48:23

giants I believe and he's perfect on

48:26

point he just follow that strategy for

48:27

you know the next 25 years now you're

48:30

seeing some of the manifestations though

48:32

of a competitive strategy that gives you

48:34

incredible advantages is you get very

48:36

sloppy in other places especially over

48:38

time because you have such great

48:40

competitive modes that you don't have to

48:41

compete at The Cutting Edge of this like

48:43

the photos app is completely unusable

48:45

I'm the biggest apple Fanboy in the

48:46

world like I I I remember interviewing

48:48

once with a job for Tim Cook and I

48:50

walked in and I said he's like why you

48:52

know why are you interested and I said

48:54

well you know I own every skew of every

48:56

product you've ever produced except I

48:58

don't have every color of each you know

49:01

iPod and he was like blown away and but

49:03

now like my photoos app is completely

49:05

unusable so I totally understand you

49:07

know about the frustration and they

49:09

they're showing like the Decay function

49:12

you know culturally and otherwise that

49:14

eventually somebody will figure out an

49:16

angle to rip them out yeah I'll tell you

49:18

we talked about dictators at the

49:19

beginning of this shath and obviously

49:22

this is your real house as a dictator

49:23

yourself is you know there has to be a

49:26

constant fear that some a-hole is going

49:31

to come to your office and be like what

49:33

did you do to the photos at and that

49:35

fear does not exist inside of Apple it's

49:38

not like the mobile me you ever hear the

49:40

mobile me story

49:41

where he brought the mobile me team in

49:44

he said how is mobile me supposed to

49:45

work they said well it's supposed to

49:47

back up everything when you buy your new

49:48

phone you get everything you never have

49:49

to worry about losing a f slammed his

49:51

hand down and said well why the F

49:52

doesn't work that way fired the person

49:55

brought the next person in and said now

49:56

make the way he said it's supposed to be

49:58

game over I don't think Tim Cook's doing

50:00

that Johnny IV's not there and obviously

50:02

Steve Jobs not there to terrorize people

50:05

well I don't think you look you don't

50:06

need to necessarily terrorize people but

50:08

I do think you have to go through uat so

50:11

I think it's pretty reasonable when you

50:13

have a large footprint of consumers

50:14

using an app to go through user

50:16

acceptance testing is like first base

50:19

and typically what happens is you can do

50:21

a process of a few months where several

50:23

hundred thousand people get it all over

50:25

the world and as long as you do an okay

50:27

job of getting a decent distribution of

50:29

people this would have come out but I

50:32

want to just talk about what Keith said

50:34

as well it's literally not just photos

50:36

it's like the phone doesn't

50:38

work so there are just core structural

50:41

issues with this operating system now

50:43

that makes the Iphone

50:46

maybe 10 to 30% less usable and that

50:50

everything is everything really

50:52

frustrating the command center you know

50:53

when you pull up your little Command

50:55

Center to change the brightness and the

50:57

your airpods it's just like what are

50:59

they doing here I mean by the way so do

51:01

you need a chip do you need a machine

51:03

learning chip to do inference to figure

51:05

out that when you constantly run your

51:07

phone at a certain level of brightness

51:09

you should just allow the phone to be at

51:11

a certain level of brightness stop

51:13

changing the damn brightness why does it

51:15

re like I me this is not this is not

51:18

complicated software engineering guys no

51:20

but this is my point there's no Arbiter

51:23

of taste anymore who is the back

51:28

yeah let me let me pause double click on

51:30

that for a second so I think taste is

51:33

great if you have it but there's only so

51:34

many people on the planet that are going

51:35

to have you know Cutting Edge taste and

51:37

be right if you don't have taste what

51:40

most tech companies do is they use data

51:42

data is something that's approachable

51:44

and leverageable because Apple has like

51:46

this the antibodies to using data to

51:49

measure success with the user experience

51:50

to measure whatever

51:52

success if you subtract taste even by a

51:55

bit you don't have the scaffolding that

51:57

every other company would use and so you

52:00

see the worst of Both Worlds that's a

52:01

great take that's a great good take the

52:04

rails right you go off the rails so

52:06

Keith do you think that you think that

52:07

what happened is like when Steve Jobs

52:09

isn't there and Johnny IV isn't there

52:12

there's still a bunch of folks that

52:13

probably think they have taste but the

52:15

real taste folks left and there's really

52:17

no scaffolding left to more scaffolding

52:21

you had at Facebook meta obviously or

52:23

that Google uses would catch some of the

52:25

stuff without a doubt about it you know

52:27

that users are less thrilled and they'

52:29

use things less and you'd fix it and

52:31

maybe even you take that too to extreme

52:33

you never develop taste like I could

52:34

argue that about Google or meta they

52:36

don't really have taste but like yeah

52:38

you could AR You could argue the

52:39

paradigms but fundamentally if you don't

52:41

have that back stop if the taste of

52:43

tracks even 10% not all the way down

52:46

you're just not going to catch this

52:47

stuff and I think there's only like how

52:49

many people in the world really have

52:51

Cutting Edge technology user experience

52:52

taste I don't know too many I would fund

52:54

them right away

52:56

he might have it it's an incredible

52:58

point because

53:00

I if I'm being really

53:03

insecure I would want to say oh yeah no

53:05

we had a lot of taste at Facebook back

53:07

in the day but actually we had so much

53:10

scaffolding around data probably because

53:12

intuitively we knew that that was way

53:14

more reliable for us it's more

53:16

predictable scal it's certainly more

53:17

scalable right like you take Steve out

53:19

you don't need a dictator but you do

53:20

need a a taste and taste is Artistic the

53:24

same thing Venture like you know like

53:25

scaling venture is really really

53:27

challenging because early stage

53:29

investing is more like taste than data

53:32

driven and later stage you can use data

53:34

and scale it and Scaffolding so I think

53:37

there's just Fields it's a little bit

53:39

also you see like the sports teams they

53:41

just happened at Stanford when Jim

53:42

Harbaugh

53:43

left it took years for the Decay

53:46

function for like the next coaching

53:49

regime to show they were completely

53:50

incompetent like the next year they're

53:52

pretty good next year they lost one more

53:53

game than they should have next year

53:54

they lost two more games than they

53:55

should have blah blah blah then

53:56

eventually they became like horrible and

53:59

you know there's a Decay function with

54:00

an organization when you take out the

54:01

person who is the original thinker or

54:03

the leader or the dictator or whatever

54:06

and so I think some of this is showing

54:08

up now and then you know playing on a

54:10

field that's not favorable to them which

54:12

is there are advantages Apple has in AI

54:15

but there's some significant

54:16

organizational structural disadvantages

54:19

and that's the field that people are

54:20

going to be competing on for the next

54:22

five years from a consumer perspective

54:25

and they're playing on a field where

54:26

they don't have all the advantages in

54:28

their favor yeah yeah true let's go to

54:31

the app level here Tik Tok is scrambling

54:33

right now after an appeals court upheld

54:35

the January 19th deadline for divestment

54:38

here we

54:40

go here we go I refer you to my Twitter

54:43

feed

54:45

my I mean you and Jacob must sit I mean

54:48

what do you do you just sit at dinner

54:50

and feed the kids and then uh talk about

54:52

Tik Tok in China it's it's well I think

54:54

Tik Tok is pretty obvious like you don't

54:56

even have to have a conversation in my

54:58

view like Tik Tok is a

55:00

threat to the National Security of the

55:02

United States and that's why whyl to

55:05

people who are like it's just an app

55:06

it's just an app why why so I think

55:09

there's different dimensions one of the

55:10

problems is there's so many things wrong

55:11

with Tik Tok that actually sometimes

55:14

people get confused because there's not

55:15

just one it' be easier sometimes if

55:16

there's just one thing so they are

55:18

definitely using the app to track data

55:20

about Americans and there's evidence

55:24

that regardless of what alleged

55:25

protections

55:27

exist there are people in China

55:29

monitoring what certain people in the

55:30

United States are doing and the CEO lied

55:34

under oath to congressional committees

55:36

about this and the evidence is now in

55:38

the public domain hopefully this justice

55:40

department will prosecute him for lying

55:42

under oath I think setting a really good

55:43

example that you cannot just purg

55:45

yourself before Congress sorry Keith can

55:47

you double click into that so what how

55:49

did it come into the into the open

55:51

source that what he said was a lie like

55:53

what so there are people in China who on

55:56

the record have said they had access and

55:59

have had access to American user data

56:02

which he swore to under oath to the

56:04

Congress that they were storing the data

56:06

in Texas somewhere and that there's no

56:08

possibility that you know Chinese

56:10

Nationals in China could access the data

56:13

there is now several um instantiations

56:15

of this in the public record let alone

56:17

what's privately available yeah I mean

56:19

the case specifically too back in 2022

56:21

by Dan the parent company of Tik Tock

56:24

had used an app to track Loc

56:26

had used their app to track the location

56:28

of journalists because they were trying

56:30

to track leaks

56:32

outside then secondly let me let me keep

56:34

going here because it's worse so there's

56:36

a law the fundamental problem is in

56:38

China there's a law that says if you're

56:41

a Chinese company upon request of the

56:43

CCP you must provide all user data so

56:47

any Chinese company is subject to that

56:49

law period there's no court intervention

56:51

you don't need a subpoena blah blah blah

56:53

and so it any Chinese any executive of

56:57

that company is subject to significant

57:00

penalties on the record for not

57:02

providing any user data at the request

57:04

of the CCP so as long as that law exists

57:09

there's a real structural threat to the

57:10

United States now then there's the is

57:13

the app being used manipulated on a

57:15

Content basis to influence you know

57:18

policy in the United States to

57:20

disadvantage this or that or create

57:22

hostilities I don't really know the

57:24

answer I think there's been studies that

57:26

suggests that and you know pretty

57:28

rigorous methodologies but that's a

57:30

second level and then third is there's

57:33

the why the hell are we allowing Chinese

57:37

companies to compete with us when no

57:39

American content based organization is

57:41

allowed into the Chinese

57:43

market whether it's meta

57:46

Google a you know there's a strong

57:49

argument there that Reddit if you don't

57:52

allow our content or non you know non

57:55

chines content into your Market why

57:58

should we be enabling Chinese companies

58:00

to be successful in quotes in the US

58:03

market and that's more of a a fair trade

58:05

free trade Keith do you think that the

58:07

Pegasus spyware that can infiltrate

58:10

WhatsApp so that you can turn on the mic

58:12

and listen remotely and it has no

58:14

fingerprints it's very difficult to

58:16

detect do you think an

58:18

equivalent let's call it a back door

58:20

exists inside of Tik Tok yes so my

58:23

evidence for this that I believe is in

58:26

interpolation of what's in the public

58:27

domain is if you looked at that vote to

58:30

ban Tik Tok it was extremely bipartisan

58:33

despite you know controversy and what

58:36

happened was that vote was taken a week

58:38

after there was an intelligence briefing

58:41

to both the House and Senate

58:42

intelligence committees that was that's

58:45

confidential and the votes you know all

58:47

of a sudden flowed through I think

58:48

there's things that are not in the

58:50

public domain about Tik Tock that

58:52

spooked a lot of elected officials and

58:54

led to this bipartisan consens is how

58:56

many bar parters votes do we see on an

58:59

allegedly controversial issue that you

59:01

know basically didn't the vote was like

59:03

you know like not even close in either

59:05

house 360 to 58 yeah when do you see a

59:09

vote like that on something meaningful

59:11

never right they got they definitely got

59:14

spooked and I mean if you just think

59:16

about Navy SEAL Special Forces they're

59:18

not allowed to use a lot of these apps

59:20

government officials aren't to use these

59:21

apps because they know that all you have

59:23

to do is if you track somebody's child

59:26

and their Tik Tock usage now you know

59:28

where the parent is you start thinking

59:29

about the security and safety of

59:31

individuals in our government it's crazy

59:33

so 352 votes for an incredibly popular

59:37

product yes think about how bad

59:39

something has to be to get a consensus

59:41

of 352

59:43

votes on a on an out that's used by you

59:46

know huge fraction of the American

59:48

public pass the Senate 79 to8 and you

59:51

are right if you say you're going to ban

59:53

Tik Tok the was against TI to but then

59:56

he opened one because that's where

59:58

voters are you you're going to lose that

60:00

generation of Voters arguably arguably

60:04

Theory there's some risk I I can see

60:06

that Biden can if he's awake extend this

60:12

window by 90 days I don't know if

60:14

grandpa is up for it but he could extend

60:16

it a bit and obviously this with the

60:18

Trump campaign you know he says a lot of

60:21

different things Trump has flip-flopped

60:22

a couple of times during his first time

60:24

he tried to band it wait till he gets

60:26

the readout that the rest of these guys

60:29

got yeah and well and then he had a mega

60:32

Dona and Tik Tok investor Jeff y gave

60:34

Pax $50 million and he owns 15% of it

60:38

when I had dinner with him that's is

60:40

this is the one of the things that I

60:42

pointed out to him was this specific

60:44

thing I said you have to look at the

60:48

Pegasus like equivalent INF infiltration

60:51

of WhatsApp having been done on Tik Tok

60:54

because the reality is if Tik Tok has

60:56

200 million users it is true that you

61:00

know

61:02

199,999

61:04

th000 just don't matter so you could

61:06

turn on the microphone you're not going

61:08

to hear anything but there is probably a

61:11

thousand to 10,000 to 15,000 people and

61:14

I do suspect

61:15

that state actors are smart enough to

61:18

figure out how to triangulate

61:20

who you would want to be able to turn it

61:23

on when that phone is in your pocket or

61:25

when that phone is on a desk and I'm

61:27

sure you will hear all kinds of random

61:29

things and many of those things could be

61:32

quite sensitive in nature so I think

61:34

that this is something that the the

61:36

government's going to have to look at

61:38

really intensely there's such a simple

61:39

test here what are they doing with their

61:41

own people in China they are in a police

61:44

state there they make the stazzy jealous

61:46

how much they're tracking individuals in

61:49

China so if they'll do it to their own

61:50

people they would have no problem doing

61:52

it to an adversary and ask yourself if

61:55

the shareholders care about money they

61:57

would be willing to divest right no

62:00

problem they want to take the company

62:02

public so if you won't divest and get

62:04

off the board as a CCP it's because you

62:07

see this as a valuable tool right I mean

62:09

just work through the basic logic folks

62:11

right it's some price point right like

62:13

what I would do if I were president I'd

62:14

say you tell me the fair market price

62:16

for Tik Tok and I'll go f you know I'll

62:18

make sure that there's buyers right

62:21

because CCB won't name any price there

62:24

is no great tool the point right that

62:28

would be like giving up your nukes I

62:30

don't think they should have to sell at

62:31

a less and fair market Price I think

62:33

that's you know legit like I believe in

62:35

capitalism but there any free market

62:38

should allow for you know some price

62:41

Discovery and if they can't name any

62:42

price period that suggests that you're

62:45

doing something that's nefarious there

62:47

there's Reason by the way Cham you

62:49

probably know this you know if you meet

62:51

like at least you know some of the times

62:52

I've met with the president they take

62:54

your phone away why they why do they

62:56

take your phone away 100% why exactly

62:59

pretty obvious yeah exactly also there

63:01

are phones that can be designed to be

63:03

weapons as we've seen a number of people

63:05

got some nutshots with their pagers

63:07

recently all right let's talk about

63:09

Venture as we wrap up here man Keith for

63:11

boy cooking with oil new sacks new red

63:14

meat sacks are you a steak guy too ke

63:17

you you eat a steak once in a while oh

63:19

of course what's your cut what's your

63:20

cut are you kolette are you a ribeye guy

63:23

I like Tom eight to 10 12 ounces Max

63:28

medium you know solid I don't really

63:31

care pretty much wagu I'll be a little

63:34

non-american go wagu you know like

63:36

Australia or Japanese yeah sure all

63:38

right all right I think uh just shout

63:39

out to my friend Kimo I'm a you know red

63:42

meat Republicans of course of course I'm

63:44

a big fan of this kolette

63:47

slash on it yes I just bought recently a

63:51

Denver Cut which i' never tried

63:53

incredible Denver Cut okay cut all right

63:56

let's wrap up with Aventure update here

63:58

at The Darkest Hour Keith sometimes

64:00

before the dawn VC deal

64:03

activity has uh getting close to uh

64:06

preco numbers in 2019 obviously major

64:10

funding drop off happened in 2022 yeah

64:12

it's been a couple of years of this but

64:14

deals uh the number of deals is coming

64:16

back the amount being put to work coming

64:18

back to I would say the steady state

64:20

perhaps even normal level uh and um but

64:25

VCA exits sadly are not keeping up but

64:28

we did have service now go public today

64:30

up 50% and the wrath of lenina con is

64:34

officially over she's out Andrew

64:37

Ferguson is in this looks like a great

64:39

appointment another one by Trump in the

64:42

column of somebody who wants to allow

64:46

business to occur and wants a free

64:49

market he wants to do basically

64:51

everything Lena KH con uh didn't do

64:53

which is allow some m&a boy what's your

64:56

pulse like here uh and what's your take

64:59

on the Venture industry and then we'll

65:00

go into m&a and exits we'll start with

65:03

just investing is it is it ramping up

65:05

you seeing high quality companies well

65:07

I'd say that you should cut that data by

65:09

Ai and non- Ai and you might see a t to

65:11

different cities my anecdotal experience

65:15

is there's AI companies where the

65:17

Market's pretty hot maybe cooling a

65:19

little bit but hot and AI companies with

65:21

the right team are getting funded you

65:23

know frequently quickly Etc and then

65:26

there's non AI companies and I think

65:28

you'll see a very different you know

65:29

sort of chart there I do think net net

65:32

you're probably at a city state that

65:33

looks reasonable across 40 years you

65:35

know like Etc but um it would be

65:37

interesting and you know you have to

65:39

make some methodological decisions about

65:41

what's an AI company what's not but if

65:42

you could do that it'd be interesting to

65:44

see if the lines you know look similar

65:46

or

65:46

not but it's pretty hot like people

65:49

starting companies found Founders are

65:51

optimistic crypto companies also you

65:53

know are back in Vogue obviously due to

65:54

the change in Administration I think a

65:57

lot of people had been hesitant to start

65:59

new crypto companies and you know

66:01

there's belief and confidence in the new

66:02

Administration thec Etc so we'll see if

66:05

Innovation accelerates you know with all

66:07

the new capital and all the new Founders

66:09

uh back in crypto in Enterprise

66:13

software it had been pretty cool non AI

66:16

based enterprise software but you know

66:18

like as you mentioned with the IPO this

66:20

week

66:21

trading very aggressively I think you

66:24

know maybe there's some inspire

66:25

inspiration there for you know more

66:27

traditional boring companies stripe

66:30

stripe stripe should go public but uh

66:33

you know they don't listen to me

66:34

so yeah you didn't know why aren't they

66:36

going public Keith what's what's the

66:38

story with the boys over there why

66:40

they're waiting to get disrupted by

66:41

crypto stable

66:43

coins I mean seriously talk about

66:45

missing your window get out there boys

66:47

they bought that crypto stable Coin

66:48

Company for like a billion dollar

66:50

defensive yeah defensive I I personally

66:52

believe and subscribe to the view that

66:53

Comey should go public as early as

66:54

possible I'm on the group bill girley

66:56

you know sort of school of thought what

66:57

amount of Revenue what amount of Revenue

66:59

put 50 million minimum but

67:00

predictability matters you know

67:02

definitely so not just 50 like but 50

67:05

with line of sight to 100 and knowing

67:07

100 to 200 I wrote a whole chapter in

67:09

Eli Gill's you know high growth handbook

67:11

on why call me should go public as early

67:12

as possible so I've been on this Chris a

67:15

forever I like accountability

67:16

transparency discipline I think they're

67:18

good things and you know there's a

67:21

critique that like oh you're not going

67:22

to be Innovative anymore if you look at

67:24

some of the companies we've been talking

67:25

about what are some of the most

67:26

Innovative companies in the world

67:28

they're public companies it just takes

67:29

the Right leader to say I'm going to be

67:32

Innovative and I don't care with the

67:33

bureaucrats and lawyers you know I'm

67:35

just not going to get distracted with

67:37

that and so I I like public companies

67:40

and so I think you'll see a lot of the

67:41

companies I am involved in go public at

67:43

a fairly rapid clip by his historical

67:46

standards different Founders though have

67:48

different yeah sort of abuse on this

67:50

it's very reasonable stripe SpaceX you

67:53

know for example found in 2003 who knows

67:56

you know when it's going to be a public

67:57

company so you can have a very

67:59

successful company like SpaceX or stripe

68:01

but my preference is to go public early

68:07

and then you have the capital resources

68:08

Equity or Capital to be strategic and

68:11

per your point about potentially missing

68:12

window now they were able to transact

68:14

you know in that particular case and get

68:16

ahead of the curve or at least not miss

68:18

the curve but sometimes when you're a

68:20

private company there are strategic

68:22

assets that you can't get your hands on

68:24

and you know think Facebook buying

68:26

Instagram we talked about the taste

68:28

issue Instagram had taste at the time

68:31

like Kevin had taste and think about

68:34

where meta would be had they not been

68:37

able to acquire Instagram yeah totally

68:40

totally different timeline or the public

68:42

currency to have bought what'sapp yeah

68:44

or

68:45

what'sapp so optionality increases as

68:48

you have that public currency if you're

68:49

a private buying a private the acquired

68:52

company needs to believe that you're

68:54

going to get it over the finish line

68:55

they're going to have some liquidity at

68:56

some point whereas with the public

68:57

government they just sell within

68:58

whatever their window is jamat your

69:00

thoughts well I was just going to ask

69:01

Keith a question which is what is the

69:02

game theory behind stripe not going out

69:05

like what's

69:06

the what's the Strategic rationale you

69:10

know honestly yeah without sharing like

69:12

you know one-on-one conversation sort of

69:13

stuff I think the question the burden

69:16

they they inverted the burden which is

69:18

why should we go public a lot of a lot

69:20

of people ask the question the opposite

69:22

way which is you know why wouldn't I go

69:25

public I think their first principal

69:28

thinkers like put per my point about

69:29

Trump and I think true of Elon they ask

69:32

like why and they're like well what

69:33

advantages would we get and I actually

69:36

think the m&a one is very real it is but

69:39

I think I think they've been able to

69:41

construct alternatives to most of the

69:44

advantages but not every company's going

69:46

to be able to do that it took a lot of

69:47

effort energy and then the question is

69:49

would you substitute that energy into

69:50

something else that might be higher

69:52

value creation if you weren't to like

69:55

Pro you know creating the alternatives

69:56

to a public

69:57

structure it's a great answer freeberg

70:00

your thoughts here on public markets m&a

70:02

the end of the wrath of Lena Khan and

70:05

what we might see in the New Year Post

70:07

January you I I disagree with the

70:10

conflation of Lena KH into all this

70:12

stuff too much it's she's a big company

70:14

break aart kind of mandate it has

70:16

nothing to do with tech m&a small like

70:18

the typical kind of deal flow stuff that

70:19

I think you're focused on I've said this

70:21

a number of times I'll just say it again

70:23

but I think on the um on the ener

70:25

liquidity thing I don't think that the

70:26

thing holding up Acquisitions and IPOs

70:28

is markets I actually think it's

70:30

investor and board expectations on

70:32

valuation relative to where they put

70:34

money in the last couple of years so if

70:36

you look at the valuations from 21 to 23

70:40

you know early 23 so much money went in

70:42

at such high prices those investors can

70:45

take those companies public today there

70:47

are public there's a public market

70:48

appetite at all times for anything just

70:51

depends on the valuation and the real

70:54

issue right now is that a lot of the VCS

70:57

the late stage private equities the ones

70:58

that did the big markups and the late

71:00

stage D rounds e- rounds Etc they don't

71:03

want to take these things out and take a

71:04

60 70% haircut on the IPO they'd rather

71:07

kind of let this thing sit private and

71:09

see if they can earn their way back into

71:11

the valuation that they did the Mark at

71:12

when they put the round together so I

71:14

100% agree 100% agree with this yeah I

71:17

mean there there is these overhangs are

71:20

very real I don't think the exit

71:21

liquidity dir fundamentally is driven by

71:23

markets I think it's just driven

71:26

the the sell side and the investor

71:28

expectations there's also a culture

71:29

thing I have to say like in talking to a

71:31

number of like the leaders of these

71:33

public companies that were very

71:34

inquisitive and m&a they are taking the

71:38

position it's easier for us to build a

71:40

competing function a competing adjacency

71:42

than do any tuck-ins they just told the

71:45

the Corp Dev people pencils down and

71:47

they are not wanting to spend a year or

71:49

two on a deal when they have a breakup

71:52

fee when they see what happened with ad

71:53

doobe or they just think well why don't

71:55

those are big deal our those are big

71:58

deals the small deals are different the

71:59

small deals are more the small deals are

72:01

the fact that over a couple years like

72:03

Google bought at cyber security like

72:04

there are these Acquisitions that

72:05

happened at 800 million that maybe

72:07

should have been done at 200 250 and

72:09

again it's the same problem that the

72:11

sellers of the high quality companies

72:13

demand too high a premium that the

72:14

buyers of these rational scaled

72:16

companies are like that's not worth it

72:17

just like IPO candidates so I don't know

72:20

keth if you've got a experience well I

72:22

also agree so I used to be an anti trust

72:24

litigator which I know knows and I think

72:28

I hate like you know the current

72:30

leadership the an trust Division I

72:31

called her a fraud and I think she is

72:33

intellectually a fraud why why she well

72:35

she published a paper that was false

72:37

like like there her whole claim to fame

72:40

is this paper about Amazon and the data

72:43

in the Amazon the data she used in the

72:45

in the paper at Yale was false and int

72:48

she's too smart to have done it

72:49

accidentally Benedict Evans wrote a good

72:51

critique of it if you want to read all

72:52

about the data second thing is you look

72:54

at Amazon which is this alleged like

72:56

quintessential example have you heard of

72:58

Shopify Shopify is one of the biggest

73:01

success stories of the last decade right

73:03

down the middle competitive with Amazon

73:05

and there was nothing Amazon could do

73:06

they lost the core Market to a

73:08

competitor that was started and you know

73:10

went public at a very low valuation and

73:12

Shopify is dominating DTC Commerce

73:14

nobody builds a DTC Commerce brand

73:16

except on Shopify so everything about

73:18

her is like a

73:20

fra that said I don't believe that what

73:23

she's done has affected did you know

73:25

exits very much at all because like the

73:27

truth is in highend Venture like

73:28

institutional Venture Capital other than

73:30

the WhatsApp and like maybe like a plot

73:33

acquisition or something you know one

73:36

every two years you don't drive returns

73:38

in venture to an Institutional Venture

73:39

Capital fund through an m&a like like

73:42

whatap may be the only one that really

73:44

drove a fund returning exit to a serious

73:47

fund it just doesn't happen that way I

73:49

need IPOs like to return our funds our

73:51

funds are like billions of dollars you

73:53

don't get Returns on lot Acquisitions at

73:55

$50 million to $100 million yeah but

73:58

$300 million fund 10 yeah but there but

74:01

most funds have ballooned for lots of

74:03

reasons L big ones and that's actually

74:06

led to some of the perversity that you

74:07

know David talking about if the funds

74:09

get large their tendency to do these

74:11

things also increases so yes a seed fund

74:15

can drive Returns on m&a Acquisitions

74:18

that might be deterred in a bad you know

74:21

hostile

74:22

Administration Venture fund of 500

74:25

million to2 billion do Drive returns

74:27

through m&a

74:28

no no I mean they could fill in the

74:31

first one X maybe yeah I've been

74:32

lobbying officials for a long time on

74:34

this Crusade they come in and they

74:35

expect that oh you know m&a blah blah

74:38

blah blah and I'm like no no no I could

74:40

care less only my most mediocre

74:41

companies are acquired and the IPO

74:44

window has started to crack open just to

74:46

give you a couple more data points

74:47

Gentlemen We Ride the chinese-based

74:49

uh self-driving car company went public

74:52

on the NASDAQ last month 4. .5 billion

74:55

market cap Pony AI another chinese-based

74:58

uh self-driving car company went public

75:01

in November Clara plans to go public in

75:04

the US I think they quietly filed

75:06

service Titan today the taping of this

75:08

on Thursday and

75:10

Sheen the fast fashion company well

75:12

she's gonna have some real problems in

75:14

the new

75:15

Administration yeah right tariffs as we

75:18

wrap here that's a good place to wrap on

75:20

what what do you think of I guess two

75:22

issues Keith we'll end with politics

75:24

since we started there two things seem

75:27

perplexing to people in finance one is

75:32

tariffs and how that's going to work and

75:35

the other is inflation and what the

75:38

impact would be on 15 million people

75:41

being shipped out of the country and the

75:42

impact that would have on inflation Visa

75:47

the unemployment rate getting even lower

75:49

than the historic low it's been in our

75:51

lifetimes what do you think of those two

75:52

issues take either one well I think

75:54

first of the treasury secretary

75:56

understands this like I think Scott

75:58

actually from everybody I've talked I

75:59

don't know him but I I've interviewed

76:01

about 10 or 12 people that are very

76:03

successful Wall Street and every single

76:04

one of them universally has a claim for

76:06

him and they've all made points to me

76:08

that these kind of

76:10

subtleties he really does grock and so

76:13

when he when he says you can raise

76:15

tariffs without inflation he understands

76:18

how all the substitution works and is

76:20

running an equation in his brain he's a

76:22

very successful Trader and that that's a

76:24

really good skill

76:25

Also chat's earlier points about Daris

76:28

evolution of brilliant people being

76:30

successful understanding how the economy

76:32

actually works he's perfect so I think

76:34

you're going to see real tariffs like

76:37

especially against China and the Trump

76:40

Administration is completely committed

76:41

to reducing inflation the cost of eggs

76:43

you know and groceries and I think those

76:46

things can be reconciled I know amateur

76:48

Economist you know with random degrees

76:50

from Wharton don't think so but as Trump

76:52

pointed out in the debate and you know

76:54

JD pointed out with some research his

76:57

first Administration imposed all these

76:59

tariffs and there was no

77:02

inflation and then JD Vance pointed out

77:04

that the FED Reserve has a study that

77:06

says you know housing prices which are

77:08

primary driver of affordability for a

77:11

normal American are inflated because of

77:13

illegal immigration so I I think this

77:16

Administration and not making more units

77:18

I mean well I think this Administration

77:20

there there is substitution right if the

77:22

price of one good goes up consumers

77:24

typically have you know unlike people on

77:26

this podcast typically have a limited

77:27

budget and at the end of the day if one

77:30

price goes up you have to substitute

77:32

somewhere else so the net inflation

77:33

might be negative even so in any event

77:36

this Administration is not naive and the

77:38

people that Trump has put in place to

77:40

drive this in treasury the National

77:42

Economic Council absolutely understand

77:44

this and they're committed to driving

77:46

down actual prices the hardest area is

77:49

going to be Healthcare that is really

77:51

really difficult and it is a major

77:53

driver of cost to a normal person and

77:56

ObamaCare has been a disaster the

77:57

question is what do you do about that

77:58

and I don't have an answer for you right

78:00

away I have some

78:02

ideas uh chth your thoughts on tariffs

78:05

Andor immigration and inflation and that

78:08

seems to be a place where even across

78:10

the a you got people debating it I think

78:12

Keith said it pretty well which is that

78:14

we do have a lot of experience with how

78:16

tariffs can be implemented and that the

78:19

the Practical experience is not what the

78:23

fear-mongering is that being said I

78:26

think the devil will be in the details

78:27

which markets for which Goods what is

78:29

the Tariff and why what I hope happens

78:33

is that if we can really study the

78:35

second and third order degree impacts of

78:39

some of these markets what the Tariff

78:42

does is it acts almost as a reverse

78:44

subsidy for American companies to

78:46

compete I'll give you one very narrow

78:49

example if you believe in electrifying

78:53

the Amer economy one of the underlying

78:57

things that you need are electric motors

78:58

right electric motors and electric

79:00

batteries and just to double click on

79:02

electric motors for a second electric

79:04

motors needs a permanent magnet if you

79:07

look inside of a permanent magnet there

79:08

are these rare Earths that are just

79:10

required to make these magnets but as it

79:13

turns out it is impossible for any

79:17

company that is not a Chinese company to

79:19

be able to manufacture these magnets in

79:23

an economically viable way and the

79:26

reason is because not only can China

79:28

make it and they can make it in the

79:30

absence of a lot of environmental

79:32

controls they'll also subsidize so if

79:34

anybody tries to compete they'll just

79:36

inject a subsidy into that economic

79:38

supply chain where they're always

79:40

cheaper so what do you do Jason if you

79:43

can observe that and realize that we

79:45

want supply chain diversity what the

79:49

Tariff does is it starts to push back on

79:51

those kinds of activities because it

79:53

doesn't allow it to continue to work

79:56

then if you take that with what the

79:57

United States government already does

80:00

through the doe which is through

80:01

subsidies and

80:03

underwriting this is what I mean by it

80:05

could be a really amazing new moment for

80:08

the American economy and that would

80:10

please a lot of people including a lot

80:11

of people on the left if they just took

80:13

the time to understand what's being

80:15

proposed I mean look at rare Earths you

80:17

you mentioned them we have some of the

80:19

great deposits in the world in our

80:22

country why can't largest deposits in

80:25

the world it's because of environmental

80:27

regulations and it's the same thing with

80:29

Starship going up we got a lot of

80:31

regulations this country I understand

80:32

people want to do the right thing but we

80:33

also have a lot of debt and if we could

80:35

start mining rare earth metals here and

80:38

maybe loosen the regulations the lithium

80:40

supply chain is another really good one

80:43

that's emblematic of all of this but

80:45

there are so many other markets like I'm

80:47

sure that if you looked in something

80:48

that's a little bit more down the middle

80:50

like

80:51

appliances what you would also see is

80:53

the same thing where wh poool will try

80:55

to make an appliance or Bissell will try

80:58

to make a vacuum cleaner and the Chinese

81:01

equivalent makes it almost like fighting

81:05

uphill and there has to be a way to

81:07

course correct that well I mean look at

81:09

byd some of these cars they're just

81:10

copying wholesale everything Tesla's

81:12

done in their

81:14

design and uh feature set and they're

81:17

half the price and so they were selling

81:19

really well in countries that allowed

81:20

them and they would decimate us

81:22

automakers and German automakers by the

81:25

way a different a different version of

81:26

this I wrote this in my Weekly

81:28

Newsletter but I was curious why these

81:31

Chinese models are so good and I was

81:33

like the training of these models seems

81:35

to be quite fast the quality of these

81:37

models are really good the Alibaba model

81:40

Etc and part of what you realize is when

81:43

they do their training runs the Chinese

81:45

models have no guard drills in the sense

81:48

that there's no copyright checks no

81:52

there's just none of these things that

81:53

otherwise slow down in ameran company to

81:55

make a useful model they don't have any

81:57

of those things so that's another

81:59

example where maybe there's not an

82:01

economic tariff but there has to be a

82:03

simple reciprocity and in the absence of

82:07

reciprocity I think it's reasonable to

82:09

say that there needs to be checks

82:10

imbalances freir you anything to add

82:12

there on tariffs or okay four jamath P

82:16

haaa your chairman dictator the Sultan

82:18

of Science and new Sachs better BMI

82:22

hates dictators what's your take on

82:24

Ukraine maybe we could fire up a Ukraine

82:26

discuss

82:29

I how do you feel

82:31

[Music]

82:33

Ukraine ke by the time you have me back

82:36

hopefully that's solved hopefully that's

82:38

solved day one we're gonna solve it on

82:40

day one okay Keith you excellent you're

82:43

EXC tremendous Keith boy excellent

82:45

husband very very effective great great

82:49

American great host great coost aesome

82:52

you may have heard of two words Allin

82:54

okay you may have heard of it David

82:56

Sachs brilliant crypto I mean we didn't

82:58

even dive into crypto I

83:01

mean people are going a little nutty on

83:03

this crypto what do you think about all

83:05

this crazy crypto going on here Keith

83:07

everything's spiking back up xrp Bitcoin

83:11

what do you think of uh salor I know the

83:14

salor fans are like obsessing about him

83:16

coming on the Pod what do you think of

83:18

seller taking these loans to buy Bitcoin

83:21

and that other people are following suit

83:22

to put it in their treasury well sure

83:24

version on crypto generally is I still

83:26

think the primary use case is

83:27

speculation and not that there's

83:29

anything wrong with that people

83:29

speculate on stocks retail trading

83:32

people speculate on football games

83:33

gambling like the natural tendency for

83:36

humans to want to speculate is very real

83:38

the the art to me is because everybody's

83:42

now a node connected into these crypto

83:44

let's call Bitcoin you know can you

83:46

build an application on top that would

83:49

have too much inertia too much friction

83:51

to start from scratch but it has real

83:53

value and I think think it's possible

83:55

because so many people are now connected

83:57

based upon speculation initially so

83:59

that's what's exciting to me but you

84:02

know we've watched speculation before in

84:05

crypto markets and you know it's very

84:08

volatile so hopefully someone builds

84:09

real layers of productivity or utility

84:13

on top but takes advantage of the

84:15

network it's a little bit like back in

84:16

your days at Facebook toath you know you

84:18

had the social graph and you'd say you

84:19

know you can build applications on top

84:21

of the social graph but if you had to

84:22

create a social graph from scratch that

84:24

was heroic effort and nobody else is

84:25

going to do it that was like literally

84:27

the Facebook Monopoly story and so I

84:29

think that's true of crypto there's lots

84:31

of nodes someone's got a soci social

84:33

graphic and there's no Zuckerberg to rug

84:35

pull and say you can't build someone's

84:36

got to build the application on top and

84:38

then it'd be extremely exciting what do

84:40

you think freeberg you you you were

84:42

monitoring this sailor situation the the

84:44

mister micro strategy people seems well

84:48

I think the way the

84:50

Sailor Financial structure is set up is

84:53

it looks a lot like a synthetic call

84:56

option on bitcoin you get a convertible

84:59

note so you earn a coupon on the note

85:02

and then you have a conversion price

85:03

which is a premium to the stock price

85:05

which you can translate if you look at

85:06

the book value or the net asset value of

85:08

the stock that's how much Bitcoin there

85:11

is and the premium was two to one I

85:14

think or two and a half to one yeah the

85:16

premium that the conversion price is at

85:18

tells you what Bitcoin needs to be for

85:20

you to have Equity upside so it's

85:23

effectively convertible note you earn a

85:24

coupon and then you have a conversion

85:26

premium that you can kind of convert to

85:28

equity which basically gives you a call

85:31

option you're saying the premium you're

85:33

paying is the price for the call option

85:35

effectively and you're earning this kind

85:37

of coupon in the meantime so it's a way

85:39

for some people to kind of trade the

85:40

price of Bitcoin seems like this guy

85:43

said a lot of hedge funds and I don't

85:44

know if you guys saw the CNBC article

85:46

that it's kind of like Bloomberg it's

85:47

like the hottest trade in hedge fund

85:49

land right now is to buy up these

85:51

convertible notes that he's issuing so

85:53

if you actually were to sit down and do

85:55

the black shells modeling of the uh the

85:58

value of the synthetic call option that

86:01

he's selling you with the convertiable

86:02

note there's a reason people are paying

86:04

for it they think that there's value

86:05

there so there's certainly something to

86:07

the structure that makes sense all right

86:10

so for your Sultan of science the

86:12

dictator and fit saacks fit saacks here

86:16

low BMI low heart rate what's the heart

86:18

rate at right now ke uh 40 to

86:20

42 uh like by measured by eight sleep

86:23

typical

86:25

oh eight S wonderful what do you think

86:26

of our Knicks by the

86:28

way we'll see I don't know if I would

86:30

have made that trade honestly but car

86:32

Anthony towns really fascinating he's

86:34

playing so good I know but like I think

86:37

you had the chemistry all dialed in

86:39

and hopefully they can build back better

86:41

you know like bu back better absolutely

86:43

all right listen uh we'll see you all

86:46

next time don't worry saaks isn't going

86:47

anywhere it's just a little bit busy

86:49

right now there's a transition going on

86:51

saaks is transitioning and we'll see the

86:54

the Pod will transition as well we see

86:55

what it looks like in the New

86:57

Year we have a good lineup of co-hosts

87:00

we're going to do eight weeks uh it's

87:01

going to be all in idle all in idle is

87:05

occurring we're rotating people in and

87:07

you get to vote audience ke that was

87:09

great thank you you did great thank you

87:11

for joining

87:13

us

87:15

EXC love you boys

87:20

love let your winners

87:22

ride rain

87:27

David and instead we open source it to

87:29

the fans and they've just gone crazy

87:31

with

87:31

[Music]

87:40

it besties

87:42

are that's my dog taking your

87:47

driveway oh man myit will meet me we

87:51

should all just get a room and just have

87:53

one big huge orgy they all this useless

87:55

it's like this like sexual tension that

87:56

they just need to release

87:58

[Music]

88:03

somehow we need to get merch

88:09

[Music]

88:13

our I'm going

88:16

[Music]

Interactive Summary

This episode of the All-In podcast features guest Keith Rabois discussing the current state of the venture capital industry, the concept of 'founder mode,' and the shift toward business-oriented leaders within the new administration. The panel also covers technical developments including Google's recent 'Willow' quantum computing milestone and its implications for encryption, as well as the ongoing debate regarding TikTok and the strategic necessity of vertical integration for companies like Apple.

Suggested questions

4 ready-made prompts