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Elon Musk | All-In Summit 2024

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Elon Musk | All-In Summit 2024

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1504 segments

0:00

[Applause]

0:00

the greatest

0:02

entrepreneur this generation Elon

0:06

Musk hey

0:11

guys grab my

0:15

stuff sit there I'm going to yep I'm

0:17

going to take this all

0:21

right do this thanks for taking the

0:26

time how um how you doing brother

0:31

you keep him

0:32

busy yeah I

0:36

mean it's rarely a slow

0:39

week I mean in the world as well yeah I

0:43

mean any given week I me it just seems

0:44

like the things getting nuttier it it

0:47

it's definitely a simulation we've

0:48

agreed on this at this

0:50

point I mean well look if if we are in

0:54

some alien Netflix series I think the

0:55

ratings are high yes ratings are High um

1:00

how are the um uh the the freedom of

1:03

speech Wars going um this is a uh you've

1:07

been you've been at War for two years

1:10

now yes uh the price of freedom of

1:13

speech is not cheap is it I think it's

1:14

like 44 billion something like that just

1:17

numbers give her give or take a billion

1:20

yeah round numbers yeah yeah um it's uh

1:24

it's it's pretty nutty there there is

1:26

like this weird movement to uh quell's

1:29

Free Speech uh kind of around the world

1:33

and um and this is something we should

1:34

be very concerned about uh you know you

1:37

have to ask like why was the first

1:40

amendment like a high priority was like

1:42

number one um One is because uh people

1:46

came from countries where if you spoke

1:49

freely you would be imprisoned or killed

1:52

and they were like well we would like to

1:54

not have that here um because that was

1:58

terrible and actually you know there's a

2:00

lot of places in the world right now if

2:02

you if you're critical of the government

2:05

you get imprisoned or killed right yeah

2:09

we'd like to not have that are you

2:12

concerned to

2:14

that I mean I supect this is a receptive

2:16

audience to that message

2:19

[Applause]

2:23

um you I I think we always thought that

2:27

the West Was the exception to that that

2:29

we knew there were authoritarian places

2:31

around the world but we thought that in

2:32

the west we'd have freedom of speech and

2:34

we've seen like you said it seems like a

2:35

global movement in brit you've got

2:39

teenagers being put in prison for memes

2:42

opposing it's like you like to you like

2:45

to Facebook post throw him in the prison

2:48

yeah people have got an actual you know

2:51

prison for for like like obscure

2:54

comments on social media not even [ __ ]

2:56

posting yet like not even yeah it's

2:58

crazy P got thrown in prison recently

3:02

I'm like that was pretty about I was

3:04

like what is the massive crime that

3:07

right pav in France and then of course

3:09

we got Brazil with judge

3:12

Voldemort that that one seems like the

3:14

one that impacts you the most can you

3:16

what's the latest on

3:21

that well we I guess we're we are trying

3:24

to figure out uh is there

3:27

some reasonable solution in Brazil

3:30

uh the you know the concern uh I mean I

3:34

want to just make sure that this is

3:35

framed correctly um and uh you know

3:39

funny memes aside I the the the nature

3:43

of the concern was

3:44

that least at at excorp we had the

3:47

perception that um we were being asked

3:51

to do things that violated Brazilian law

3:54

so obviously we cannot as an American

3:57

company impose American laws and values

4:00

on on other countries um that uh you

4:04

know we wouldn't get very far if we did

4:05

that um but but we do you know think

4:10

that uh if if a country's law laws are a

4:12

particular way and we're being asked to

4:15

what we we think we think we're being

4:16

asked to break them then and and be

4:19

silent about it then obviously that is

4:21

no good so so I just want to be clear

4:25

thetime sometimes comes across as uh

4:28

elon's trying to just be a crazy

4:31

whatever billionaire and demand

4:34

outrageous things from other countries

4:37

and

4:38

um you know well that is

4:42

true

4:44

um in

4:46

addition there are um other things uh

4:51

that that I think are you know valid

4:53

which is like we we we obviously can't

4:57

uh you know I think any given thing that

4:59

we do at excorp we've got to be able to

5:02

explain in the light of day and and not

5:05

feel that it was dishonorable or you

5:08

know we we we did the wrong thing you

5:10

know uh so we don't we that that that

5:14

that was the that that's the nature of

5:15

the concern so we actually are in uh

5:19

sort of discussions with uh the you know

5:23

judicial authorities in in Brazil to try

5:26

to you know run this to ground like

5:30

uh what What's actually going on like if

5:33

if we're being asked to break the law

5:36

Brazilian law then that's that that

5:38

obviously should not be should not sit

5:39

well with the Brazilian Judiciary and if

5:43

we're not and we're mistaken we'd like

5:44

to understand how we are mistaken I

5:47

think that's a that's a pretty

5:48

reasonable uh position I'm a bit

5:51

concerned as your friend that you're

5:54

going to go to one of these countries

5:56

and I'm going to wake up one day and

5:57

you're going to get arrested and like

5:59

I'm going to have to to go bail you out

6:00

or something like this is feels very

6:02

acute like yes I mean it's not a joke

6:05

now like they're literally saying like

6:07

you know it's not just Biden saying like

6:09

we have to look into that guy now it's

6:10

become quite literal like this I who was

6:13

the guy who just wrote the um was it the

6:16

guardian piece about like oh yeah yeah

6:19

there have been three articles and I

6:21

think in the past three weeks Robert

6:22

Reich but it wasn't just him it was like

6:25

three different articles three different

6:27

articles it doesn't that's a trend

6:30

that calling for me to be imprisoned

6:32

right in the in the guardian you know

6:35

guardian of what what are they Pro

6:38

exactly guardian of I don't know

6:42

authoritarianism yeah guardian of uh

6:45

yeah yeah censorship censorship but but

6:48

the premise here is that you bought this

6:51

thing this online Forum this

6:53

communication platform and you're

6:54

allowing people to use it to express

6:57

themselves therefore you have to be

6:59

jailed I don't understand the logic here

7:02

right um there's what do you think

7:04

they're actually afraid of at this

7:06

point what's the motivation here I mean

7:09

I think the if somebody's a if

7:12

somebody's sort of trying to push a

7:14

false premise on the world then and then

7:16

that that and that premise can be

7:18

undermined with public dialogue then

7:21

they will be opposed to public Dialogue

7:23

on that premise because they wish that

7:25

false premise to Prevail right um so

7:28

that's I think you know the the issue

7:31

there is uh if they don't like the truth

7:34

uh you know then we want to suppress it

7:36

so now the you know the the sort of the

7:41

what what we're trying to do with excorp

7:43

uh is uh I distinguish that from my son

7:47

who's also called X yes

7:50

uh you have you have parental

7:53

goals everything's just called X

7:55

basically it's very difficult

7:57

disambiguation the sun yeah everything

8:00

um

8:01

so what what we're trying to do is

8:04

simply adhere to the uh you know the the

8:08

laws in a in a country um so so if

8:12

something is illegal in the United

8:13

States or if it's illegal in you know

8:16

Europe or Brazil or or wherever it might

8:19

be uh then then we will take it down or

8:21

we'll suspend the account because we

8:24

we're not you know there to make the

8:26

laws we but but if speech is not legal

8:30

then then what are we doing okay now

8:32

we're injecting ourselves in as as a

8:36

sensor and and where does it stop and

8:38

who

8:39

decides so and where where does that

8:42

path lead I think it leads to a bad

8:45

place uh so if the people if in a

8:49

country want the laws to be different

8:51

they should make the laws different but

8:53

otherwise we're going to obey the law in

8:57

each jurisdiction right and some of

8:58

these Europe that's it it's it's not

9:00

more complicated there we're not we're

9:01

not trying to FL out the law we going to

9:01

be clear about that but we're we're

9:03

trying to adhere to the law and if the

9:05

laws change we will change and if if the

9:07

laws don't change we we won't we're just

9:09

literally trying to adhere to the law

9:12

it's pretty pretty straightforward there

9:13

are some very

9:14

straightforward if somebody doesn't

9:16

thinks we're not adhering to the law

9:17

well they can file a lawsuit Bingo also

9:20

very straightforward I mean there are

9:22

European countries that don't want

9:23

people to promote Nazi propaganda yes

9:25

they have some sensitivity to it well

9:27

it's it is illegal and it is illegal

9:30

in those countries if somebody puts that

9:32

up you take it down yes but they

9:34

typically file something and say take

9:36

this down no in some cases it is just um

9:39

obviously illegal like you don't need to

9:41

file a lawsuit for you know if something

9:44

is just you know unequivocally illegal

9:46

we can literally read the law this

9:48

violates the law you know anyone anyone

9:50

can see that like you know you don't

9:53

need like if if somebody is stealing you

9:55

don't need let me check the law on that

9:57

okay oh no they're they're stealing

9:59

Frisco let's talk so we had we had JD

10:02

Vance here this morning he did a great

10:04

job um and you know one of the things is

10:07

there's this image on X of like

10:09

basically like you

10:11

Bobby uh Trump and JD are like the

10:15

Avengers I guess and then there's

10:17

another meme where you're in front of a

10:19

desk where it says d g the department of

10:22

governmental efficiency yes yes I posted

10:25

that one tell us about I I made it using

10:27

grock the gro image generator

10:31

and I posted it tell us about it to my

10:33

profile seek for

10:36

efficiency um how how do you do

10:39

it well I mean

10:46

I I think with great difficulty uh but

10:50

you know look it's been a long time

10:52

since there was a serious effort to

10:54

reduce the size of government and to um

10:58

remove absurd regulations yeah and you

11:01

know the last time there was a really

11:02

concered effort on that front was Reagan

11:05

in the early ' 80s so we're 40 years

11:06

away from um a a a a serious effort to

11:10

remove um you know not regulations that

11:14

don't serve the greater good and and

11:17

reduce the size of government and I

11:19

think it's just if we don't do that then

11:22

what's what what's happening is that we

11:23

get regulations and laws accumulating

11:25

every year until eventually everything's

11:28

illegal uh and that's why we can't get

11:31

uh major infrastructure projects done in

11:32

the United States like if you look at

11:34

the absurdity of the California highs

11:36

speed rail I think they theyve spent $7

11:38

billion and have A600 put segment that

11:40

doesn't actually have rail in

11:41

it I mean your tax dollars at work I

11:44

mean yeah what are we doing that's an

11:46

expense of 600 feet of concrete you know

11:50

um and and I mean I think it's like if

11:54

you know uh I realize sometimes I'm

11:57

perhaps a little optimistic with

11:58

schedules but

12:00

uh you

12:02

know I mean I wouldn't be doing the

12:04

things I'm doing if I was uh you know

12:07

not an an optimist uh so but but but but

12:13

at the current Trend you know California

12:15

High Street rail might finish sometime

12:17

next

12:18

Century maybe probably not we're just

12:21

we'll have teleportation by that time so

12:23

yeah

12:24

exactly AI do everything at that point

12:26

so so so so

12:29

I think you really think of um you know

12:32

the the United States and many countries

12:34

it's it's arguably worse than the EU as

12:37

being like galiva tied down by a million

12:39

little strings and like any one given

12:42

regulation is not is not that bad but

12:45

you've got a million of them and um or

12:47

Millions actually and and and then

12:50

eventually you just can't get anything

12:51

done and and this is a this is a massive

12:54

tax on the on the consumer on the people

12:57

uh it's just they don't they don't

12:58

realize that there's this this massive

13:00

tax in the form of irrational

13:03

regulations um I'm going I'll give you a

13:05

recent uh example that that you know is

13:08

is just insane um is that uh like SpaceX

13:11

was fined by the EPA

13:13

$140,000 for um they claimed dumping uh

13:17

portable water on the ground drinking

13:19

water so and we're like uh this is that

13:22

star base and and we're like it's we're

13:24

in a TR tropical uh thunderstorm region

13:27

um that stuff comes from the Sky all the

13:30

time and

13:32

um and there was no actual harm done you

13:34

know it was just water to cool the the

13:36

the Launchpad during uh liftoff and um

13:40

there's zero harm done like and they're

13:41

like they agree yes there's zero harm

13:42

done we're like okay so there's no harm

13:44

done and um you want us to pay $140,000

13:48

fine it's like yes because you didn't

13:49

have a

13:50

pmit okay we didn't know there was a

13:53

ponent needed for zero har fresh water

13:56

being on the ground in a place that

13:58

where fresh water full from the sky all

13:59

the

14:00

time got it next to the ocean next to

14:04

the ocean cuz there's a little bit of

14:05

water there too yeah I mean sometimes it

14:07

rain so much the the roads are flooded

14:09

so we're like you

14:10

know how does this make any sense yeah

14:14

and and then they're like then then they

14:16

were like well we're not going to

14:17

process any more of your any more of

14:18

your applications for launch for

14:20

Starship launch unless you pay this

14:21

$140,000 they just ransomed us and we're

14:24

like okay so we paid $140,000 but it was

14:27

a it's like this is no good I mean at

14:29

this rate we're never going to get to

14:30

Mars I mean that's

14:33

the that's the confounding part here

14:35

yeah is we're acting against our own

14:38

self-interest you know when you look at

14:41

we do have to make putting aside fresh

14:43

water but hey you know there the rocket

14:46

makes a lot of noise so I'm I'm certain

14:49

there's some complaints about noise once

14:51

in a while but sometimes you want to

14:52

have a party or you want to make

14:53

progress and there's a little bit of

14:54

noise therefore you know we we trade off

14:57

a little bit of noise for massive

14:59

progress or even fun so like when did we

15:02

stop being able to make those tradeoffs

15:04

but talk about the difference between

15:06

California and Texas uh where you and I

15:09

now reside um Texas you were able to

15:12

build the gigafactory I remember when

15:15

you got the plot of land and then it

15:17

seemed like it was less than two years

15:20

when you had the party to open it yeah

15:23

from start of construction um to

15:26

completion uh was 14 months 14 14 months

15:30

is there anywhere on the planet that

15:32

would go faster is like China faster

15:33

than that uh China was 11 months got it

15:37

so Texas China 11 and 14 months

15:41

California how many months and just to

15:43

give you a sense of size the Tesla

15:46

gigafactory in China is three times the

15:47

size of the Pentagon which was the

15:49

biggest building in America uh no there

15:51

are bigger buildings but the pentagon's

15:52

pretty big one yeah where it was the

15:53

biggest in units in units of Pentagon

15:56

it's like three okay three pentagons and

15:59

counting yeah got it in 14 months um the

16:04

just the just the regulatory approvals

16:07

in California would have taken two

16:09

years yeah so that's that's the issue

16:11

where where do you think the regulation

16:14

helps like for the people that will say

16:16

we need some checks and balances we

16:17

can't have some because for every good

16:19

actor like you there'll be a bad actor

16:21

so where is that line then yeah I mean I

16:23

have a sort of you

16:26

know in in sort of doing Su sensible

16:29

deregulation and um reduction in the

16:33

size of government the is is just like

16:35

be very public about it and say like

16:37

which of these rules do you if the

16:38

public is really excited about a rule

16:40

and wants to keep it we'll just keep it

16:43

and and here the thing about the rules

16:44

if if like if the rule is um you know

16:47

turns out to be a bad we'll just put it

16:49

right back okay and then you know

16:51

problem solved it's like it's easy to

16:53

add rules but we don't actually have a

16:55

process for getting rid of them that's

16:57

the issue there's no garbage collection

17:00

rul um when we were um watching you work

17:05

David and I and Antonio um in that first

17:08

month at Twitter which was all hands on

17:10

deck and you were doing zerob based

17:12

budgeting you really quickly got the

17:15

cost under control and then miraculously

17:17

everybody said this site will go down

17:20

and you added 50 more features so maybe

17:23

explain because this is the first time

17:25

yeah there like so many articles like

17:27

the that this this

17:29

Twitter is Dead Forever there's no way

17:31

it could possibly even continue at all

17:34

it was almost like the Press wasting for

17:35

you let's write theit here has the

17:37

orbituary uh they were all saying their

17:39

goodbyes on Twitter remember that yeah

17:41

yeah yeah they were all leaving and

17:42

saying their goodbyes cuz the site was

17:43

going to melt down and totally fail and

17:46

and uh all the journalists left yeah and

17:49

which is if you ever want to like hang

17:51

out with a bunch of Hall monitors oh my

17:53

God threads is amazing every time I go

17:55

over there and post they're like they

17:57

they're really triggered but yeah I mean

17:59

if you like being condemned repeatedly

18:01

then you know for reasons that make no

18:04

sense then threads is the way to go yeah

18:06

it's really it's it's the most miserable

18:08

place on Earth if Disney's the happiest

18:11

this is the anti- Disney but if we were

18:13

to go into government you went into the

18:15

Department of Education or Pi pick the

18:17

department you've worked with a lot of

18:19

them actually sure you can't go in there

18:21

in zero based budget okay we get it but

18:24

if you could just pair two three four 5%

18:28

of those organizations what kind of

18:30

impact would that

18:32

have yeah I mean I think we'd need to do

18:35

more than that I think ideally but

18:37

compounding every year 2 3% a year I

18:40

mean it would be better than what's

18:41

happening

18:43

now yeah I look I think we we um you

18:49

know

18:50

uh if if Trump wins and obviously I

18:54

suspect there are people with mixed

18:55

feelings about whether that should

18:56

happen but uh but if but we do have an

19:00

opportunity uh to do kind of a once- in

19:03

a-lifetime deregulation and reduction in

19:05

the size of government um because

19:07

because the other thing besides the

19:08

regulations um America is also going

19:10

bankrupt extremely quickly um and and

19:14

nobody seems everyone seems to be sort

19:15

of whistling past the graveyard on this

19:17

one um but they're all they're all

19:20

grabbing the silverware everyone's stuff

19:22

in their pockets and the silverware

19:23

before this the Titanic SS like well you

19:26

know the the defense department by

19:28

budget is a very big budget okay it's a

19:31

trillion dollars a year DOD Intel it's

19:34

Trill a trillion dollars um and interest

19:38

payments on the national debt just

19:40

exceeded the defense department budget

19:43

they're over a trillion dollar a year

19:46

just in interest and Rising we're we're

19:49

adding a trillion dollars to the net to

19:52

our debt which our you know kids and

19:55

grandkids are going to have to pay

19:56

somehow um

19:59

you know every every three months and

20:02

then soon it's going to be every two

20:03

months and then every month and then the

20:05

only thing we'll be able to pay his

20:07

interest yeah and and if if this it's

20:10

just you know it's just like a person at

20:12

scale that has racked up too much credit

20:16

card debt um and

20:19

uh this this is not this is not have a a

20:23

good

20:24

ending so we have to reduce the spending

20:27

let me ask one question cuz I've brought

20:29

this up a lot and the counterargument I

20:30

hear which I disagree with um but the

20:32

counter argument I hear from a lot of

20:34

politicians is if we reduce spending

20:37

because right now if you add up federal

20:38

state and local government spending it's

20:41

between 40 and 50% of GDP so nearly half

20:45

of our economy is supported by

20:48

government spending and nearly half of

20:49

people in the United States are

20:51

dependent directly or indirectly on

20:53

government checks and either through

20:56

contractors uh that that the government

20:57

pays or their employed by government um

20:59

entity so if you go in and you take to

21:02

harden acts too fast you will have

21:05

significant contraction job loss and

21:07

recession what's The Balancing Act Elon

21:10

just thinking realistically because I'm

21:12

100% on board with you the steps the

21:15

next set of steps however assume Trump

21:18

wins and you become the the chief uh doe

21:23

um uh dog uh like G

21:28

how how like yeah and I think the

21:30

challenge is how quickly can we yeah how

21:32

quickly can we go in how quickly can

21:34

things change and without

21:39

without I want that on my business card

21:41

yeah without all the L without all the

21:44

contraction and

21:45

job yeah so so I guess how do you really

21:48

address it when so much of the economy

21:49

and so many people's jobs and

21:50

livelihoods are dependent on government

21:52

spending well I mean I I do think it's

21:55

it's it's sort of um

21:59

you know it's it's false dichotomy it's

22:00

not like no government spending is going

22:02

to happen um you really have to say like

22:04

is it the right level um and just

22:07

remember that that you know any any

22:10

given person if they are doing things in

22:13

a less efficient organization versus

22:15

more efficient organization their

22:17

contribution to the economy their net

22:19

output of goods and services will reduce

22:22

um I mean you've got a couple of clear

22:23

examples between uh East Germany and

22:25

West Germany North Korea and South Korea

22:28

um I mean North Korea they're starving

22:30

uh South Korea it's like amazing it's

22:32

the future the compounding effect of

22:34

productivity gains yeah yeah it's night

22:36

and day yeah um and so in the north

22:38

North Korea you've got 100% government

22:40

um and in South Korea you've got

22:42

probably I don't know 40% government

22:44

it's not zero yeah U and yet you've got

22:46

a standard of living that is probably 10

22:47

times higher in South Korea at least at

22:50

least exactly um uh and then East and

22:53

West Germany um in West Germany uh you

22:56

had just thinking in terms of cars I

22:58

mean you had BMW Porsche Audi Mercedes

23:01

um and and East Germany which is a

23:04

random line on a map um you you the the

23:08

car only car you could get was a a

23:09

trabant which is basically a lawn mower

23:11

with a shell on it um and it was

23:14

extremely unsafe and you there's a

23:17

20-year

23:19

wait so you like you know put your kid

23:21

on the list as soon as they're conceived

23:24

um they're conceived and and even then

23:26

only I think um you know quarter of

23:29

people maybe got got this lousy car and

23:33

the same so so that's just an

23:34

interesting example of like basically

23:36

the same people different operating

23:38

system and and it's not like uh West

23:41

Germany was some you know you know a

23:44

capitalist uh Heaven it was it's quite

23:48

socialist actually so uh so when you

23:51

look you know probably it was half half

23:54

government in West Germany and 100%

23:56

government in East Germany and again

23:58

gain sort of a five to like it call at

24:01

least a 5 to 10x standard of living

24:03

difference and even qualitatively vastly

24:06

better and and it's obviously you know

24:08

sometimes people have these amazingly in

24:09

this modern era this debate as to which

24:11

system is better well I'll tell you

24:13

which system is better um the one that

24:15

doesn't need to build the world to keep

24:16

people in okay that's that's how you can

24:19

tell

24:22

okay it's a dead giveaway spoiler alert

24:26

dead giveaway they climbing the wall to

24:28

get out

24:29

you have to build a barrier to keep

24:32

people in that is the bad system um

24:36

there wasn't West West berin that built

24:37

the wall okay they were like to you know

24:40

anyone who wants to flee West berin go

24:41

ahead um speaking of walls so it you

24:44

know and and and and if you look at sort

24:46

of the flux of boats from Cuba there's a

24:49

large number of boats from Cuba and

24:52

there's a bunch of free boats that you

24:54

anyone can take to to to Cuba

24:58

there's like hey wow an abandoned boat I

25:00

could use this boat to go to Cuba where

25:03

they have communism awesome Yes um and

25:06

and and yet nobody nobody picks up those

25:08

boats and and does it amazing um so

25:12

given this a lot of thought yeah wait so

25:13

your point is jobs will be created if we

25:15

cut government spending in half jobs

25:17

will be created fast enough to make up

25:19

for right just to count yes obviously

25:22

you know I'm not suggesting that that

25:23

people you know um have like immediately

25:26

tfed you know tossed out with with with

25:28

no severance and and you know can't now

25:31

can't pay their mortgage they need to

25:32

see some reasonable offramp uh where

25:34

yeah yeah um so reasonable offramp where

25:37

you know they're still um you know

25:39

earning they're still receiving money

25:41

but have like I don't know a year or two

25:42

to to f to find jobs in the private

25:45

sector which they will find and then

25:46

they will be in a different operating

25:48

system um again you can see the

25:50

difference East Germany was incorporated

25:52

into West Germany living standards in

25:53

East Germany uh Rose

25:56

dramatically um so in four years if you

25:59

could shrink the side size of the

26:01

government with Trump what would be a

26:03

good Target just in terms of like

26:05

ballpark I mean are you trying to get me

26:06

assassinated before this even happens no

26:09

no pick AO number I mean you know

26:12

there's that old phrase go postal I mean

26:13

it's like they might yeah on me so we'll

26:16

keep the post office I I'm going to need

26:18

a all the security details guys yes I

26:21

mean this year a number of disg granted

26:24

workers for former government employees

26:26

is you know

26:29

quite a scary number I mean I might not

26:30

make it you know I was saying low low

26:32

digits every year for four years would

26:34

be palatable yeah and I like your idea

26:36

the thing is that if if it's not done uh

26:39

like if you have a once once in a

26:40

lifetime or once in a generation

26:42

opportunity and you don't take Serious

26:44

action and and then you have four years

26:47

to get it done and then and if it

26:50

doesn't get done then how serious is

26:52

Trump about this like you've talked to

26:53

him about it yeah yeah I think he is

26:56

very serious about it got it um and no I

26:59

I think actually the reality is that if

27:01

we get rid of nonsense regulations and

27:03

shift people from the government sector

27:06

to the private sector we will have

27:08

immense

27:09

Prosperity um and and I think we will

27:11

have a golden age in this country and

27:14

it'll be

27:15

fantastic can we uh can we talk about

27:20

SP um you have a bunch of critical

27:23

Milestones coming up um yeah in fact

27:25

there's an important a very exciting

27:27

launch

27:28

um that is may be happening tonight so

27:31

if if that the weather is is holding up

27:33

then I'm going to leave here head to

27:35

Cape canaval uh for the um the the PO

27:39

stor Mission which is a private Mission

27:40

so funded by Derek um DED isman and he's

27:44

um awesome guy and and there this will

27:47

be the first time uh the first private

27:50

first first commercial space walk um and

27:52

and'll be at at the highest altitude uh

27:56

since Apollo so it's the furthest from

27:58

Earth that anyone's

28:00

gone um

28:04

yeah and you what comes after that let's

28:07

assume that's successful and I sure hope

28:09

so

28:12

man um no

28:16

pressure

28:17

um yeah we you know Absolut you know

28:20

Astron prior astral safety is man if I

28:24

had like all all all the wishes I could

28:26

save up that would be the one to to put

28:28

on so you know space is dangerous um so

28:34

the

28:36

the yeah the next

28:38

Milestone after that would be the next

28:41

flight of Starship um which um you know

28:45

Starship is next five Starship is ready

28:47

to fly we are waiting for regulatory

28:52

approval you know yeah it it it it

28:56

really should not be possible to both a

28:58

giant rocket faster than the paper can

29:02

move from one desk to

29:04

[Applause]

29:09

another that stamp was really hard

29:14

approved yeah you ever see that movie

29:16

zootopia you ever see that movie

29:18

zootopia there's like a

29:21

sloth in for the approval yeah

29:24

accidentally tell a joke and and I was

29:26

like oh no this is good here we go going

29:28

to take a long time sorry sorry um but

29:30

yeah

29:31

zootopia you know you know the funny

29:34

thing is like so I went to the

29:37

DMV about I don't know a year later

29:40

after zootopia and to get my whatever

29:43

license renewal and the guy in in an

29:45

exercise of incredible self- awareness

29:47

had the sloth from zootopia in his um in

29:50

his cube in in in his Cube and he was

29:53

actually Swift

29:55

yeah with the with the Mandate beat the

29:57

sloth yeah yeah no personal agency

29:59

personal agency no I mean some people

30:03

like think the you know the government

30:06

is um more confident than it than it is

30:09

I'm not saying that there aren't

30:10

confident people in the government

30:11

they're just in an operating system that

30:13

is inefficient um once you move them to

30:15

a more efficient operating system they

30:17

their output is dramatically greater as

30:19

we've seen examp you know when East

30:22

Germany was reintegrated to into with

30:24

West Germany and and and the same people

30:27

um were vastly more prosperous uh with a

30:30

basically half capitalist uh operating

30:33

system

30:34

so um but I

30:37

mean for a lot of people their like the

30:40

maybe most direct experience with the

30:42

government is the DMV um and and then

30:46

the important thing to remember is the

30:47

the government is the DMV at

30:51

scale right that's the government got

30:54

the mental picture how much do you want

30:55

to scale it

30:59

yeah yeah sorry can you go back to

31:02

chat's um uh question on Star so you you

31:04

announced just the other day Starship

31:06

going to Mars in two years and by the

31:09

way huh yeah yeah yeah yeah yeah and

31:12

then four years for a

31:14

crude uh aspirational launch in the next

31:16

window and how much is the government

31:18

involved I'm not saying like say you

31:20

watch by these not you know uh but these

31:23

uh but it based on our current progress

31:27

where with with Starship We were able to

31:29

successfully reach oval of velocity

31:31

twice uh we were able to achieve soft

31:33

Landings of the the booster and the ship

31:36

in water uh and that's despite the ship

31:39

having you know half its flaps cooked

31:41

off um you can see the video on the X

31:43

platform it's quite exciting um so you

31:47

know we we we think we'll be able to

31:49

have to launch reliably and repeatedly

31:53

and quite quickly um and the the the

31:57

fundamental Holy Grail breakthrough for

31:59

rocketry for to what the fundamental

32:02

breakthrough that is needed for life to

32:04

become multiplanetary is a rapidly

32:07

reusable reliable rocket

32:11

R for the pirate somehow um throw a

32:15

pirate in there um the so with Starship

32:21

is the first rocket design

32:25

where success is one of the possible out

32:28

with full

32:29

reusability um so you know for any given

32:31

project you have to say this is the

32:33

circle to write diagram um has a circle

32:37

and is Success the success dot in the

32:39

circle um is is success in the set of

32:43

possible outcomes that's uh you know

32:46

sounds pretty obvious but there are

32:47

often projects where that that is

32:50

success is not in the set of possible

32:52

outcomes um and so so

32:55

Starship not only is fully full

32:58

reusability in the set of possible

32:59

outcomes it it is being proven with each

33:01

launch um and and and I'm confident it

33:04

will succeed it's simply a matter of

33:06

time and you know if if we can get some

33:12

improvement in the speed of Regulation

33:14

we we could actually move a lot faster

33:16

um uh so that would that would be very

33:20

helpful and and in fact if if this if

33:23

not if something isn't done about um

33:26

reducing regul and and sort of speeding

33:29

up approvals and to be clear I'm not

33:31

talking about anything unsafe it's

33:33

simply the processing of the safe thing

33:36

can be done at a as as fast as the

33:39

rocket is built not slower then uh then

33:43

then we could become a space buring

33:44

civilization and a multiplet species

33:47

ultimate and be out there among the

33:48

stars in the future and

33:53

there's you know it's it's just very

33:55

like it's incredibly important that we

33:58

have things that that we find inspiring

34:01

that you look to the Future and say the

34:04

future is going to be better than the

34:05

past things to look forward to and like

34:09

like kids are a

34:11

good a good way to assess this like what

34:13

a kids fired up about and if you can say

34:17

you know you you could you know you

34:19

could be an Astron on Mars you you could

34:21

maybe one day uh go beyond the solar

34:24

system um we could make Star Trek

34:27

Starfleet Academy real um that is an

34:31

exciting future that is

34:34

inspiring um you know just I mean you

34:37

need things that move your heart right

34:40

um

34:42

yeah [ __ ] yeah [ __ ] yeah let's do it I

34:47

mean it like like life can't just be

34:50

about soling one miserable problem after

34:52

another there's got to be things that

34:53

you look forward to as well yeah uh and

34:56

and do do you think you might have to

34:58

move it to a different jurisdiction and

35:00

to move faster I've always wondered if

35:02

like it's rocket technology is

35:04

considered an advanced weapons

35:05

technology so we can't just go do it you

35:07

know in another country yes in it yeah

35:10

interesting and if we don't do it other

35:11

countries could do it I mean they're so

35:14

far behind us but theoretically there's

35:16

a national

35:18

security you know justification here if

35:21

if somebody can put their thinking caps

35:23

on like do we want to have this

35:24

technology that you're building the

35:26

team's working so hard on stolen by

35:27

other countries and then you know maybe

35:30

they don't have as much red tape I I

35:32

wish people were trying to steal it um

35:35

so that no no one's trying to steal it

35:38

it's just

35:39

too this just it's too crazy

35:42

basically um and that's for you yeah

35:46

it's way too crazy El what do you think

35:48

um is going on that led to

35:52

boing building the St line the way that

35:54

they did they were able to get it up

36:00

but not complete but can't complete they

36:02

can't finish can't finish and you're

36:05

going to have to go up and

36:06

finish um

36:10

um well I mean I think Boeing is a

36:14

company that is you they actually do so

36:17

much business with the government they

36:18

have sort of impedance matched to the

36:20

government so they're they're like

36:22

basically one notch away from the

36:24

government maybe two they're not far

36:26

from the government from an efficiency

36:28

standpoint because they derive so much

36:29

of the revenue from the government um

36:32

and a lot of people think well SpaceX is

36:33

super dependent on the government and

36:35

actually no most of our revenue is

36:36

commercial um

36:39

so

36:41

um and and and and

36:45

there's been I think at least up until

36:48

perhaps recently because they have a new

36:50

CEO who actually shows up in the factory

36:53

yeah um and the the the CEO before that

36:55

I think had a degree in accounting and

36:57

and never went to the factory and didn't

36:59

know how airplanes

37:00

flew um so I think if you are in charge

37:04

of a company that makes airplanes fly

37:08

and a spacecraft go to Orit you need to

37:12

know it can't be a total mystery as to

37:15

how they work

37:18

yeah

37:19

so you know I'm like sure if somebody's

37:23

like running cocoa Pepsi and and they're

37:25

like great at marketing or whatever uh

37:27

that's that's fine because you know it's

37:31

it's not a sort of Technology dependent

37:32

business um you know or if they're

37:35

running a you know financial consulting

37:38

and their degrees in accounting that

37:39

makes sense um but I think uh you know

37:43

if you if you're the Cavalry Captain you

37:45

should know how to ride a horse pretty

37:47

basic yeah

37:49

yeah great it's like it's disconcerting

37:52

if the Cavalry Captain just falls off

37:53

the horse you

37:55

know he's scar

37:58

team I'm sorry I'm scared of hces gets

38:00

on backwards I'm like

38:03

oops um sh shifting gears to AI uh Peter

38:06

was here earlier and he was talking

38:08

about how so far the only company to

38:09

really make money off AI is NVIDIA with

38:12

the chips um do you have a sense yet of

38:15

where you think the big applications

38:17

will be from AI is it going to be an

38:20

enabling self-driving is it going to be

38:21

enabling robots is it transforming

38:24

Industries I mean it's still I think

38:26

early in terms of where the big business

38:29

impact is going to be do you have a

38:30

sense

38:41

yet I I mean I think I think they that

38:45

they the spending on AI probably runs

38:48

ahead of I mean does run ahead of the

38:50

revenue right now that's there's no

38:52

question about that um but the rate of

38:56

improvement of AI is faster than any

38:58

technology I've ever seen by far

39:01

and and and it

39:05

it's I mean like the for example the

39:08

touring test used to be a thing now you

39:12

know your basic uh open source random

39:15

llm writing on a freaking Raspberry Pi

39:17

probably could uh you know beat the

39:20

touring test

39:22

um so

39:24

there's I I I think actually

39:28

like like the the good future of AI is

39:32

one of immense Prosperity

39:36

where there is an age of abundance no

39:40

shortage of goods and

39:42

services everyone can have whatever they

39:45

want unless except for things we

39:47

artificially Define to be scarce like

39:49

some special

39:50

artwork um but but anything that is a

39:53

manufactured good or provided Service uh

39:56

will I think with the Adent of AI plus

39:59

robotics that the cost of goods and

40:02

services will be

40:05

will Trend to zero like I'm not saying

40:08

it be actually zero but it'll

40:10

be it every everyone will be able to

40:14

have anything they want uh that that's

40:16

the good future of course and you know

40:19

in my view that's probably 80% likely so

40:21

look on the bright

40:23

side only 20% 20% probability of

40:26

annihilation nothing

40:28

um is is the 20% like what does that

40:31

look like I don't know man I mean

40:35

frankly I do have to go engage in some

40:37

degree of of deliberate suspension of

40:38

disbelief with respect to AI in order to

40:41

sleep well um and even then um because I

40:45

I I I think the actual issue the the

40:48

most likely issue is like well how do we

40:49

find meaning in a world where AI can do

40:51

everything we can do a bit better that

40:53

that is that is perhaps the bigger

40:55

challenge um

40:58

although you know at this point I know

41:00

more and more people who are retired and

41:01

they seem to enjoy that life

41:05

so uh but I think that that may be maybe

41:08

there'll be some crisis of meaning like

41:10

because the computer can do everything

41:12

you can do but better so maybe that'll

41:15

be a challenge um but but really uh you

41:21

know you need you need the sort of end

41:22

factors you need the the autonomous cars

41:26

and

41:27

you need the sort of humanoid robots or

41:29

your general purpose robots um but once

41:32

you have general purpose humanoid robots

41:36

um and autonomous

41:38

vehicles uh you really you you you can

41:42

build anything um and and and this I

41:46

think that there's no actual limit to

41:48

the size of the economy I mean there

41:50

obviously you know the mass of Earth you

41:52

know like that one limit um but the you

41:57

know the economy is is really just the

41:59

average productivity per person times

42:01

number of people that's the economy and

42:04

if you if you've got humanoid robots

42:08

that can do you know where there's no

42:10

real limit on the number of humanoid

42:12

robots um and and they they can operate

42:15

very intelligently then then there's no

42:18

actual limit to the economy in there's

42:20

no meaningful limit to the economy you

42:22

guys just turned on Colossus which is

42:24

like the largest private cluster I guess

42:28

of gpus anywhere is that it's it's the

42:31

it's the most powerful supercomputer of

42:32

any kind um which sort of speaks to what

42:36

David said and kind of what Peter said

42:38

which is a lot of the kind of economic

42:41

value so far of ai ai is entirely gone

42:44

to Nvidia but there are people with

42:46

Alternatives and you're actually one

42:47

with an alternative now you have a very

42:49

specific case because Dojo is really

42:50

about images and large images huge

42:54

video um yeah I mean the the the Tesla

42:57

problem is different from the

43:00

um you know the sort of llm problem uh

43:03

the nature of the intelligence actually

43:05

is actually and

43:07

and the what what matters in the AI is

43:10

is different um to to the point you just

43:13

made which is that in the in tales's

43:14

case the context uh length is very long

43:18

so we've got gigabytes of context G

43:19

context Windows yeah yeah you've got you

43:21

know sort of uh we just bringing it up

43:25

kind of billions of tokens of context NY

43:27

amount of context because you've got um

43:30

seven seven cameras and if if you've got

43:32

several you know let's say you've got a

43:34

minute of several high high def cameras

43:37

then that's gigabytes so you need to

43:39

compress so the Tesla problem is you got

43:41

to compress a gigantic context um into

43:45

the the pixels that are that actually

43:47

matter um

43:50

and you know and and and condense that

43:53

over a time so you've got in both uh the

43:57

time Dimension the space Dimension

43:58

you've got to compress the pixels u in

44:01

space and the pixels over in time

44:04

um and and and then and then have that

44:07

inference done on a tiny computer

44:09

relatively speaking a small you know a

44:12

few hundred watt uh it's a Tesla

44:15

designed AI inference computer uh which

44:17

is by still the best there isn't a

44:20

better thing we could buy from suppliers

44:21

so the Tesla designed AI inference

44:24

computer that's in the cars is better

44:26

than anything we could buy from any

44:27

supplier just by the way that's kind of

44:29

a by way the the Tesla ai ai CHP team is

44:33

extremely good you guys in the design

44:34

there is a technical paper and there was

44:36

a deck that somebody on your team from

44:38

Tesla published and it was stunning to

44:40

me you designed your own transport

44:42

control like layer over ethernet you're

44:44

like ah ethernet's not good enough for

44:46

us you have this TT Coe or something and

44:49

you're like oh we're just going to

44:50

reinvent ethernet and like string these

44:51

chips it's pretty incredible stuff

44:53

that's happening over there yeah um no

44:56

the team the the Tesla chip design team

44:59

is extremely extremely good um so um but

45:03

is there a world where for example other

45:05

people over time that need you know some

45:07

sort of like video use case or image use

45:10

case theoretically you know you'd say oh

45:12

why not you know I have some extra

45:13

Cycles over here so which should kind of

45:15

make you a competitor of Nvidia it's not

45:17

intentionally per se

45:19

but um yeah I mean

45:23

the you know this training and inference

45:25

and we we do have you know two those two

45:27

projects at T we've got Dojo which is

45:30

the the training computer uh and then um

45:33

you know our inference chip which is in

45:37

every every car inference computer um so

45:42

and Dojo we've only had Dojo one Dojo 2

45:45

is um you know should be we should have

45:48

Dojo 2 in volume towards the end of next

45:49

year um and and that that that will be

45:53

we think sort of comparable to uh the

45:58

sort of a b200 typ type system a

46:00

training system um and um you know so

46:05

there's I guess there's some potential

46:06

for for that to be used as a service um

46:11

and but like

46:14

you Dojo is is just kind of like I mean

46:18

we're I guess I guess I have like some

46:21

improved confidence in Dojo

46:25

um but I think we won't really know how

46:28

good Dojo is until probably version

46:31

three like usually takes three major

46:33

iterations on a technology for it to be

46:35

to be excellent um and we'll only have

46:38

the second major iteration next year um

46:42

the third iteration I don't know maybe

46:44

late you know 26 or something like that

46:47

how's the uh how's the Optimus project

46:49

going I remember when we talked last um

46:51

and you said this publicly that it's in

46:54

doing some light testing inside the

46:56

factory

46:57

um so it's actually being useful what's

46:59

the build of materials and when you know

47:02

for something like that at scale so when

47:04

you start making it like you're making

47:05

the model three now and there's a

47:06

million of them coming off the factory

47:08

line what would the would they cost 20

47:10

30 $40,000 you think yeah I mean what I

47:13

mean I've discovered really that you

47:16

know anything made in sufficient volume

47:19

will ASM totically approach the cost of

47:21

its of its uh

47:24

materials so now there's there's I

47:26

should say the there's some some things

47:28

are constrained by the cost of

47:30

intellectual property and like paying

47:32

for patents and stuff so a lot of you

47:34

know what what's in a a chip is like

47:36

paying paying royalties um and

47:39

depreciation of the chip faab so but the

47:42

actual modal cost of the chips is very

47:43

low um so so so Optimus it obviously is

47:48

humanoid robot it it is it weighs much

47:51

less than it's much smaller than a car

47:53

um so the you could expect that in high

47:57

volume uh and and i' said you also

48:00

probably need three three production

48:02

versions of Optimus so you need to

48:04

refine the design three at least three

48:07

major times and and then you need scale

48:10

production

48:11

to sort of the million unit plus per

48:14

year

48:15

level and I think at that point the cost

48:20

the the you know the labor materials on

48:23

Optimus is probably not much more than

48:26

10,000

48:27

yeah and that's a decade long journey

48:29

maybe basically think of it like Optimus

48:31

will cost less than um a a small car

48:36

right

48:37

so at at scale volume with three major

48:41

iterations of technology and and so if a

48:43

small car you know costs $225,000 you

48:46

know it's it's probably like I don't

48:49

know $220,000 for for an Optimus for a

48:51

humanoid robot that can be your your

48:54

body like a combination of R2D2 and c3p

48:57

a bit

48:58

better I mean you know that's I honestly

49:01

I think people are going to get really

49:02

attached to their humanoid robot because

49:04

I mean like you look at sort of watch

49:06

Star Wars and it's like R2D2 and see3 I

49:08

love those guys um you know they're

49:11

awesome um and their personality and and

49:15

I mean and all all R2 could do is just

49:17

beef at you could couldn't speak English

49:22

um c3p to translate the beeps you know

49:25

so you're in year two of that if you did

49:27

two or three years per iteration or

49:28

something it's a decade long journey for

49:30

this to hit some sort of scale I I would

49:33

say m major iterations are less than two

49:36

years so okay um it's probably on the

49:39

order of five five years yeah

49:43

uh maybe six to get to a million units a

49:46

year and at that price point everybody

49:48

can afford one on planet Earth I mean

49:51

it's going to be that one: one two: one

49:53

what do you think ultimately if we're

49:54

sitting here in 30 years the number of

49:57

robotss on the planet versus Humans yeah

50:00

I think the number of robots will vastly

50:01

exceed the number of humans vastly yeah

50:03

vastly exceed I mean you have to say

50:04

like who who would not want their robot

50:08

buddy everyone wants a robot buddy

50:12

um you know this is like it especially

50:15

if it can you know you know it can take

50:18

care of your your take your dog for a

50:21

walk it could you know mo mow the lawn

50:24

it could watch your kids uh it could you

50:26

know like it could it could teach your

50:29

kids it could it could we could also

50:31

send it to Mars we could send a lot of

50:33

robots to Mars to do the work needed to

50:36

yeah make it a colonized planet for you

50:38

Mars is already the robot Planet there's

50:39

like a whole bunch of you know robots

50:41

like Rovers and Rob helicopter yes only

50:44

robots um so yeah the no I I think the

50:49

the sort of useful humanoid

50:52

robot opportunity is the single biggest

50:55

opportunity

50:58

ever

51:01

um because if you assume like that I

51:04

mean the I think the ratio of humanoid

51:06

robots to humans is going to be at least

51:07

2 to one maybe 3 to one because

51:10

everybody every everybody will want one

51:11

and then there'll be a bunch of robots

51:13

that you don't see that are making goods

51:14

and services and you think it's a

51:15

general one generalized robot that then

51:18

learns how to do different tasks or yeah

51:21

hey um I mean we are a

51:23

generalized yeah we're a generalized

51:25

robot we're just made of meat you know

51:28

uh we're a meat General meat yeah I mean

51:31

operating my meat puppet you know um so

51:34

um yeah we are

51:36

actually and by the way it turns out

51:38

like as we're designing Optimus we sort

51:41

of learn more and more about why humans

51:43

are shaped the way they're shaped and

51:46

you know and why we have five fingers

51:48

and why your little finger is smaller

51:50

than you know your index finger uh you

51:53

know you know obviously why you have

51:55

opposable thumbs but also why for

51:57

example your the muscles the major

52:00

muscles that operate your hand are

52:02

actually in your forearm and and your

52:05

fingers are primarily operated like um

52:09

your the muscles that actuate your

52:12

fingers um are located the vast majority

52:15

of the of your finger strength is

52:17

actually coming from your

52:18

forearm um and your fingers are being

52:20

operated by tendons little

52:22

strings that that's and so the current

52:26

current version of the Optimus hand uh

52:29

has the actuators in the hand and has

52:32

only 11 degrees of freedom so it can't

52:33

it's not as doesn't have all the degrees

52:35

of freedom of human hand which has

52:38

depending on how you count it roughly 25

52:40

degrees of freedom um and

52:44

uh and and and and it's also like not

52:47

strong enough in certain ways because

52:49

the actuators have to fit in the hand um

52:52

so the Next Generation Optimus hand uh

52:54

which we have in Prototype form

52:57

uh the the actuators have moved to the

52:59

forearm just like a human and they

53:01

operate the the fingers through cables

53:03

just like a human hand and uh and then

53:07

the next Generation had has 22 degrees

53:09

of

53:09

freedom um which we think

53:12

is enough to do almost anything that a

53:15

human can do

53:18

um and presumably I think it was written

53:21

that X and Tesla may work together and

53:25

you know provide services but my

53:27

immedate thought went to oh if you just

53:28

provide a grock to the robot then the

53:30

robot has a personality and can process

53:32

oh yeah voice and video and images and

53:34

all of that stuff as the uh as we wrap

53:36

here U I think uh you know everybody

53:40

talks about all the projects you're

53:42

working on but um people don't know you

53:44

have a great sense of humor that's not

53:46

true oh you do you do um people don't

53:49

see it but I would say one of I know for

53:51

me the funniest week of my life or one

53:53

of the funniest was when you did SNL and

53:55

we got and you you I got to tag along

53:58

maybe you saw it um maybe behind the

54:02

scenes like some of your funniest

54:05

Recollections of that chaotic insane

54:08

week when we laughed for 12 hours a day

54:11

it was a little terrorizing on the first

54:12

couple of days but yeah I was I was bit

54:15

worried the beginning there because

54:17

frankly nothing was funny um day one was

54:21

rough rough um yeah so I mean

54:27

it's like a rule but can't you guys just

54:28

say it just say the stuff that got on

54:30

the cutting some the funniest skits were

54:34

the ones that didn't let you do that's

54:35

what I'm saying can you just say there

54:36

were a couple of funny ones yeah that

54:37

they didn't let you you can say it so

54:38

that he doesn't get I mean how much time

54:40

do we have here well we should just give

54:42

one or two because it

54:44

was in your mind which one do we regret

54:47

most not getting on

54:50

air you really want to hear that I I

54:54

mean I mean it was a little I see it was

54:57

a little

54:59

funny

55:01

okay here we go all right here we go

55:06

guys all right so one of the things that

55:11

um I think everyone's been sort of

55:12

wondering this whole time is is Saturday

55:14

night Saturday Night Live actually live

55:18

like live live live live or do they have

55:21

like a delay or like just in case you

55:24

know there's a wardrobe malfunction or

55:26

something like that uh is it like a you

55:29

knowu 5sec delay what's really going on

55:33

but there's a there's a way to test this

55:35

right we came out the way there's a way

55:37

to test this um which is we don't tell

55:40

them what's going on as I I W on and

55:43

says this is the script I throw it on

55:45

the ground we're going to find out

55:48

tonight right now it's Saturday if sat

55:50

night life is actually

55:53

live and the way that we're going to do

55:56

this is I'm going to take my [ __ ]

56:01

[Applause]

56:04

out this is the greatest pitch ever and

56:07

and if if if if you see my

56:12

[ __ ] you know it's

56:15

true and if you don't it's been a lie

56:18

it's been a lie all these years all

56:20

these years now this is we're going to

56:22

bust them right now and this we're

56:24

pitching this yeah yeah so ping this on

56:27

Zoom yeah ping this on zoom on like a

56:29

Monday after like yeah we're like kind

56:31

of hung over from the weekend and like

56:32

Ping thisi and and and it's h it's you

56:36

know Jason's on um and uh Mike and you

56:40

yeah and Mike uh you know got like you

56:43

know who my friends who I think are sort

56:44

of you know quite funny um you know uh

56:48

Jason's quite funny I think like like

56:51

Jason's the closest thing to Cartman

56:52

that exists in the real in real life

56:56

we have a joke that he's Butters and I'm

56:58

Cartman yeah so um and then my friend

57:04

Mike's Prett funny too so so we we come

57:07

in like like just like guns blazing guns

57:10

blazing with with like ideas and we

57:12

didn't realize like actually you know

57:14

that's not how it works and and and uh

57:16

that that it's normally like actors and

57:18

and they just get told what to do and

57:20

like oh right well you mean we can't

57:21

just like do funny things that we

57:24

thought of what there watching this and

57:27

on the zoom they're a

57:29

gas pitch yeah it's silence like so I'm

57:32

like and I'm like and I was like is this

57:34

thing working is this are we muted is is

57:36

our mic on they're like we hear you yeah

57:39

and then and then after a long silence

57:41

like Mike's Mike just says the word

57:43

crickets crickets and they're not

57:45

laughing they're going to not even going

57:47

to chugle like what's going on and then

57:49

Elon explains the punchline yes which is

57:51

exactly so there's more to it okay yes

57:58

that's just the

57:59

beginning so Elon says so so then I'm so

58:02

I'm like so so so so I said like I'm I'm

58:06

I'm going to I'm going to reach

58:07

[Laughter]

58:10

down into my pet into my pants and and I

58:13

stick my hand on my pants and I'm going

58:15

and I'm and I'm going to pull my co and

58:16

I tell this to the audience and the

58:17

audience is going to be like

58:19

go right and and and and and then and

58:24

and then and then and then I pull out a

58:27

a a baby

58:29

rooster you know yes and it's like okay

58:32

this is kind of PG you know it's like

58:34

that not that bad it's like it's this is

58:37

my tiny [ __ ]

58:39

and

58:42

and and it's like what do you think uh

58:46

and so then and do you think it's an ice

58:48

coock I mean I like it I pitch I'm like

58:51

and then Kate McKennon walks out yeah

58:53

exactly and I'm like oh no but you

58:54

haven't heard half of it Kate mcken

58:56

comes out yeah and she says Elon

58:59

expected you would have a bigger [ __ ]

59:02

yeah I like I I don't mean to disappoint

59:05

you Kate but yeah um but I I I hope you

59:07

like it anyway

59:09

um but Kate's got to come out with with

59:12

with her cat okay right uh so and Kate

59:16

says you see where you can see where

59:17

this is going and I say nice wow that's

59:20

that's a that's a that's a nice [ __ ]

59:22

you've got there

59:24

Kate wow that's amazing um it looks a

59:28

little wet was it raining

59:31

outside and then

59:34

um do you mind if I stroke your [ __ ] is

59:36

that cool it's like oh no Elon actually

59:40

can I hold your [ __ ] of course of course

59:43

Kate you definely hold my [ __ ] um and

59:46

and then you know we exchang and I think

59:48

just the audio version of this is pretty

59:49

good right um and and and um you know so

59:54

it's like wow you I really like um

59:56

stroking your [ __ ] and I was like

60:01

I and then you say I'm really enjoying

60:04

strug at your [ __ ] yes of course and um

60:08

yeah so you know they're looking at us

60:11

like oh my god what have we done

60:13

inviting these lunatics on the

60:16

program yeah they said they said like

60:19

well um it is uh it is Mother's

60:23

Day it's Mother's Day we might not want

60:26

to go with this one the mom's in the

60:28

audience and I'm like well that's a good

60:30

point well fair fair it might be a bit

60:32

uncomfortable for all the moms in the

60:34

audience maybe I don't know I don't know

60:35

maybe they'll dig it maybe they like it

60:37

uh so yeah that

60:40

was that's the um that's the that's the

60:44

that's the um cold open that didn't make

60:47

it we didn't get that on the air um but

60:51

uh we did fight for Doge yes and we got

60:54

Doge on the air Ian there's a bunch of

60:56

things that I said that were just not on

60:57

the script like they have these like Q

60:59

cards for what you're supposed to say

61:00

and I just didn't say it I just went off

61:01

off the rails yeah they didn't see that

61:04

coming yeah it's live well it's

61:09

live and uh so the Elon wanted to do

61:13

Doge this is the other one and he wanted

61:15

to do Doge on late night and he says um

61:18

Hey Jake Al can you um make sure oh yeah

61:20

so I want yeah I wanted to do the Doge

61:21

father like you sort of redo the you

61:23

know that scene from uh the the to

61:26

Godfather I mean you kind of need the

61:27

music to cue things

61:31

up you bring me on my daughter's

61:35

wedding listen you ask for Doge yeah you

61:37

got R and I give you Bitcoin but you

61:40

want do exactly you really got to set

61:42

the mood you have to have tuxedo

61:45

andice you got to have like

61:51

Mar you come to me on this day of my

61:55

Do's wedding

61:57

and you ask me for your private

62:02

keys are you even a friend you'll call

62:05

me the Dodge

62:08

father so b

62:10

b know so that has potential they had

62:14

great potential so they come to me and

62:16

I'm I'm talking to Colin um and Jo who's

62:20

got a great sense of humor and he's

62:21

amazing he loves Elon and he's like we

62:23

can't do it because of the law and stuff

62:25

like that and

62:26

the law and liability so I said it's

62:29

okay Elon called Comcast and he put in

62:33

an offer and they just accepted it we

62:36

just bought NBC so it's fine yeah and

62:41

Colin Joe looks at me I sold this so

62:43

good and he's like you're you're serious

62:46

I'm like yep we own NBC now yeah and

62:51

he's like okay well that kind of changes

62:53

things doesn't it I'm like absolutely

62:55

where're a go on on Doge yeah and then

62:57

he's like you're [ __ ] with me and I'm

62:59

I'm [ __ ] with

63:00

you or are we or are

63:03

we it was the greatest week of and that

63:07

like is like two of 10 stories yeah we

63:10

got yeah we got we'll save the other

63:11

eight yeah but it was and I was just so

63:14

happy for you to see you have a great

63:18

week of just joy and fun and letting go

63:20

cuz you were launching Rockets you're

63:22

dealing with so much [ __ ] in your

63:23

life to have those moments yeah to share

63:26

them and just laugh um it was just so

63:28

great and more of those moments I think

63:30

we got to we got to get you back on SNL

63:33

who wants them back on SNL one more time

63:35

all right ladies and gentlemen our

63:37

bestie Elon Musk

63:39

[Applause]

63:42

[Laughter]

63:42

[Applause]

Interactive Summary

In this conversation, Elon Musk discusses his perspective on various global challenges, including the importance of free speech, the need for governmental efficiency, and his optimism regarding technological advancements like AI and robotics. He highlights the impact of excessive regulations on progress and outlines his goals for SpaceX's Starship and the future of humanoid robots. Furthermore, the discussion touches on the lighthearted and chaotic experience of Musk's appearance on Saturday Night Live.

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