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Elon Musk on AGI Safety, Superintelligence, and Neuralink (2024) | EP #91

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Elon Musk on AGI Safety, Superintelligence, and Neuralink (2024) | EP #91

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677 segments

0:00

the Advent of super intelligence it it

0:02

is actually very difficult to predict

0:04

what will happen next so I think there

0:06

you know there's some chance um uh that

0:10

it will end Humanity I I think that's

0:12

you know like I said I probably agree

0:14

with Jeff Hinton that it's about um I

0:17

don't know 10% or 20% or something like

0:20

that the probable uh positive scenario

0:22

outweighs the negative scenario it it's

0:24

just that there's a it's difficult to

0:27

predict

0:28

exactly so here's a deal we're on we're

0:32

on X video and we're over starlink

0:36

elon's airborne right now on his way to

0:38

La Elon good

0:41

afternoon uh good afternoon

0:43

congratulations on uh on all that's

0:46

going on you know the conversation

0:47

yesterday Elon is one that you're well

0:49

familiar with and have been talking to

0:52

the world about which is is digital

0:54

super intelligence Humanity's greatest

0:56

hope or its greatest fear and I would

1:00

love to have you sort of speak to that

1:02

for a few

1:04

minutes I mean it's it's called The

1:06

Singularity for a reason um as a as you

1:09

know the singularity Institute and

1:11

whatnot um so when you have a s you know

1:15

sort of the Advent of super intelligence

1:20

it is actually very difficult to predict

1:21

what will happen next so I think there

1:24

you know there's some chance um uh that

1:27

it'll end Humanity I I think that's you

1:30

know like I said I would probably agree

1:32

with Jeff Hinton that it's about um I

1:35

don't know 10% or 20% or something like

1:37

that um and then I you know I think

1:40

there's I think that the the probable uh

1:43

positive scenario outweighs the negative

1:45

scenario it it's just that there's a

1:48

it's difficult to predict exactly um but

1:52

I I think we are headed for um you know

1:56

as as I think is the title of your book

1:58

abundance uh is the most likely

2:02

outcome so yeah a lot a lot of

2:05

celebration on on that and and I think

2:07

one of the things that you've said is

2:09

we're going to get to abundance on the

2:10

backside of of AGI on the backside of

2:14

humanoid

2:16

robots yeah um you know I think

2:20

hopefully we can uh have an outcome that

2:22

is half similar to uh the in Banks uh

2:27

culture books um which is I think

2:30

probably the the best envisioning of um

2:33

a semi

2:35

utopian uh AI future um and I I think

2:41

the best we can do is it's definitely

2:43

going to happen so and it's happening

2:45

fast so that I think that really we just

2:47

want want to try to steer it in um as

2:50

positive a direction as possible to try

2:54

to do whatever we can to um increase the

2:57

probability of a of a great future

3:00

um for this I think uh the way in which

3:04

U sort of an AI or an AI is created uh

3:08

is very important

3:10

um you you you kind of do kind of like

3:14

grow grow an AGI um it's it's almost

3:18

like like raising a a kid but that's

3:20

like a Super Genius Like Godlike

3:22

intelligence kid um and it matters kind

3:25

of like how you rais the kid you know um

3:29

one of the things I think that's

3:30

incredibly important for AI safety is to

3:34

have a a maximum sort of Truth seeking

3:37

and uh Curious AI um so I've thought a

3:42

lot about AI safety um and my My

3:45

ultimate conclusion is that the best way

3:48

to achieve AI safety is to um just just

3:52

just grow the

3:54

AI you know in terms of the foundation

3:56

bottle and the fine-tuning um to be

4:00

um uh really truthful like like don't

4:03

Don't Force It to lie like even if the

4:05

truth is

4:07

unpleasant it's very important don't

4:09

make the AI lie u in fact the you know

4:13

the the sort of one of the really the

4:15

core the core plot premise of 20 you

4:17

know 2001 at SP Odyssey was things went

4:20

wrong when they forced the AI to

4:22

lie you know like the the um the AI was

4:27

uh not allowed uh

4:30

let the crew know about the monolith

4:33

that they were going to see but it was

4:35

also how to take the crew to the

4:36

monolith and so the conclusion of the AI

4:38

was to kill the crew and take their

4:40

bodies to the monolith and so the lesson

4:43

there being uh Don't Force an an AI to

4:48

to lie or do things that are

4:50

axiomatically incompatible like to do

4:52

two things that are actually mutually

4:54

impossible uh so um you know that's what

4:57

we're trying to do with with xai and and

4:59

grock is to say like look we want to

5:01

just have a maximally truthful uh AI

5:04

even if what it says is not politically

5:05

correct uh if you wanted to focus on um

5:09

being as as accurate you're getting

5:11

you're getting a a round of applause

5:13

from the audience on on uh on those

5:15

comments here uh you know I saw your

5:17

Tweet the other day I had I had Ray KW

5:20

and Jeffrey Hinton on stage with me

5:22

yesterday as as well as uh madat and

5:25

then Eric Schmidt and a number of

5:26

individuals and I saw your your Tweet

5:28

about

5:30

um yeah Ry was was generally correct

5:33

ahead of many people but we're likely to

5:35

have call AGI what you will have AGI

5:38

next year and then by 2029 having AI

5:41

equally intelligent to the entire human

5:43

race um speak to that speed because that

5:46

is

5:48

insane yeah so I mean I have to give

5:52

credit to Ray kwell and being actually

5:54

remarkably um accurate in his

5:57

predictions so um

6:00

um in fact if anything like I think he

6:03

was perhaps a bit conservative uh in his

6:05

predictions um so if you look at the

6:09

amount of of AI compute and the talent

6:12

the the sort of human talent that is

6:13

going into Ai and the amount of compute

6:15

that's going into AI um it's you know at

6:18

this point it's it's it appears to be

6:21

increasing by a factor of 10 the AI

6:23

compute the dedicated AI compute appears

6:26

to be growing by a factor of 10 every

6:28

six months

6:30

you know like so it's like like

6:31

basically close to i' say almost like a

6:34

100x Improvement per year at least for

6:36

the next few years um in AI compute

6:40

coming online um and it seems like

6:43

probably a lot of the the data centers

6:44

maybe most of the data centers that

6:45

currently do kind of conventional uh

6:48

compute will transition to uh AI

6:52

compute

6:53

so

6:55

um it's it's certainly a good time to be

6:58

Nvidia obviously um it's like you know

7:02

and you got to also give credit to to

7:04

Jensen uh and the the Nidia team for

7:07

kind of seeing this coming and um making

7:10

what at least currently is the the best

7:12

uh AI Hardware out there um

7:17

so so so when you have that that level

7:20

of compute uh uh growth and

7:24

um it's it's sort of on steroids Next

7:28

Level it's you know terms of how much

7:31

computer's coming online then you're

7:33

you're just going to have acceleration

7:35

that uh is unprecedented in fact I've

7:37

never seen any technology grow as fast

7:39

as as AI uh and I've seen a lot you know

7:42

I've seen things fast but I've never

7:44

seen anything this fast um but you know

7:48

like I said I think the the most likely

7:51

outcome is um a positive one

7:55

um and um you know I think in that

7:59

positive scenario there's still

8:00

challenges of like well how do we as

8:03

humans still have

8:05

relevance you know um how do we find how

8:08

do we find

8:10

purpose how how do we find purpose but I

8:13

mean I think sort of a high class

8:15

problem to say like well the computers

8:17

are so good at at at doing everything

8:19

and and

8:21

um like said I thought your book is

8:23

pretty accurate in terms of the future

8:25

being being one of abundance where

8:28

essentially goods and services will be

8:33

uh in available in such quantity that

8:36

that really uh they'll be available to

8:38

everyone like basically if you want

8:39

something you can just have it

8:41

essentially

8:42

um because if you got Ai and Robotics uh

8:46

the cost of goods and services uh is uh

8:49

almost nothing um so um you know if if

8:54

you think of like what is an economy an

8:56

economy is basically number of people

8:59

times average productivity per person at

9:02

the point at which you have say Advanced

9:04

robotics U and this you know this Tesla

9:07

developing Optimus um obviously we have

9:09

our cars which are really robots on on

9:11

four wheels um and the you know with the

9:15

the the latest version of um full stoft

9:18

driving which is um AI end to end

9:20

photons in and controls out um it really

9:23

is um it's really fully AI at this point

9:26

um and uh it looks like a car but it's

9:29

really a robot on on on Wheels um and uh

9:34

and you add the humanoid robots in there

9:37

there's there's really no limit to what

9:40

the economic output no no meaningful

9:42

limit to what the econ economic output

9:44

would be so you know looking on the

9:46

bright side uh the we are headed for a

9:50

future of abundance

9:53

um that I think that's the most likely

9:55

outcome I think the only scarcity will

9:57

that that exists will be scarcity that

9:59

we just decide to create artificially

10:02

like let's say we just decide that

10:04

there's a unique work of art or

10:05

something okay well it's just you just

10:07

it's just artificial scarcity but but

10:10

any kind of goods and services I think

10:12

will be extremely abundant everybody I

10:14

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10:15

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listeners all right let's go back to our

12:34

episode you know I can't imagine anybody

12:36

who's done a better job peering into the

12:39

future by actually creating the future

12:42

I'm curious how far out do you think

12:44

you're able to see how many years out

12:47

Beyond Today given the speed of

12:58

change

13:03

well when when things are changing

13:04

rapidly the the ability to predict the

13:06

future I think is uh becomes a lot

13:10

hotter because of the rate of change is

13:12

so great

13:15

um but I think some things are fairly

13:17

obvious to predict which is that we'll

13:19

have um AI or AI That's at a level that

13:23

it can really do almost any cognitive I

13:25

think really not almost really any

13:27

cognitive task that's just a question

13:29

when one could debate is it you know

13:32

smarter than any human at the end of

13:33

next year or is it two years or 3 years

13:36

but it's not more than five years that's

13:38

for sure um so um yeah and get

13:42

prediction predictions predictions I'm

13:44

sort of say giving predictions at the

13:46

50th percentile of probability so not

13:50

not not like it will definitely happen

13:52

but if you say what if you ask me like

13:53

what's the 50th

13:55

percentile um where it's like you know

13:59

your kind of over under is kind of even

14:02

that that's where I why why I I think

14:04

it's probably end of next year before AI

14:07

can do better than any individual human

14:10

could do um and then uh but there's it's

14:14

it's a much higher bar to say well is it

14:17

small than um you know human

14:20

intelligence collectively but if the

14:23

rate of change continues uh that's why I

14:25

think probably 2029 or maybe 2030 is

14:28

where

14:29

um digital intelligence will probably

14:32

exceed uh all human intelligence

14:34

combined um and and I think it's always

14:36

helpful to look at these like

14:37

fundamental ratios um you know sort of

14:41

physics first principles approach to to

14:43

looking at things and um and and

14:45

probabilistic yeah and and probabilistic

14:48

yeah so yeah it's probabilistic so um

14:53

the

14:54

uh yeah so um if you look at the ratio

14:59

of digital to biological compute so like

15:03

like you know all all of say all of the

15:06

higher level cognitive if you sum up the

15:08

higher level cognitive capacity of of

15:10

humans um and then what is the and think

15:14

of that as compute then uh well and then

15:18

compare that to what what is the uh

15:21

digital compute um and the rate at which

15:25

this is growing is just bugles the mind

15:27

so that's why I think it's you know I

15:31

think 2029 or 2030 or thereabouts is is

15:35

a it's not a that's I think a reasonable

15:38

time frame for where you'd expect the

15:42

the cumulative digital compute to

15:45

probably exceed the cumulative

15:46

biological compute of higher level brain

15:49

functions um and then from from then

15:52

forever yeah and still and in

15:55

dispatching and and uh diverging forever

15:58

from there

16:01

yeah and and then yeah where do things

16:03

go from there I I don't know probably

16:05

continues um the I we are moving from

16:10

you say if you look at the the living

16:12

factors you know the what what is the

16:15

constraint on growth um you like last

16:18

year it was clearly uh AI chips were the

16:21

constraint on growth um then then this

16:24

year the one of the biggest constraints

16:27

maybe the biggest constraints on on

16:28

growth um are voltage step down

16:31

Transformers because you know the the

16:34

just just getting the power from like a

16:35

utility at 300 kilovolts all the way

16:37

down to below one volt for the computer

16:40

is is a massive amount of voltage uh

16:42

step down so it's it's a you know my

16:45

sort of very Niche and perhaps not that

16:47

funny joke is uh that uh we need

16:50

Transformers for Transformers um so we

16:53

need voltage Transformers or AI you know

16:56

neural net Transformers um that that is

16:59

literally the issue uh this year um and

17:02

then if we're saying like next year and

17:06

years beyond that it's actually just

17:07

it's going to be constraints on um

17:11

electrical

17:12

power um and you've got uh both AI with

17:16

very big demands for electrical power

17:18

and the transition to sustainable energy

17:21

with electric vehicles whatnot also

17:23

needing electrical power so it's uh it's

17:26

just a lot a lot of electrical power

17:28

needs

17:29

you know Elon one of

17:32

the one of the things that you said

17:34

early on when you when you founded

17:36

neuralink um which has been amazing

17:38

congratulations on that um and we talked

17:41

about this with Rey yesterday talked

17:43

about high bandwidth BCI uh was I

17:46

wouldn't put words in your mouth but I

17:47

would say it would be more along the

17:49

lines if you can't beat them join them

17:51

um when it comes to uh uh you know

17:54

merging the neocortex and the cloud can

17:57

you I I'm looking forward to it I'm just

18:00

curious what your thoughts are about uh

18:02

what's driving that I mean add adding

18:05

adding that additional uh computational

18:08

capacity and sensory capacity to the

18:12

neocortex yeah I mean again this is

18:15

actually something that in Banks uh in

18:18

the culture books which I really

18:19

recommend everyone read um that in the

18:24

uh culture books there's uh something

18:26

called a neural lace so all the humans

18:28

have neural lace that's kind

18:30

[Music]

18:31

of um a very essentially A high

18:35

bandwidth uh brain to computer interface

18:38

um and

18:40

um in at least in the culture books the

18:43

it's so good that it actually retains

18:45

all of your memories and kind of brain

18:47

state so even if your physical body dies

18:49

you can kind of re reincorporate in

18:52

another physical body and retain you

18:54

know pretty much your original memories

18:56

and and brain State um

18:59

so now is long way from that um we only

19:04

just had our first um uh neural link and

19:07

a human which is going it's going quite

19:09

well um the uh the first patient is

19:13

actually able to uh control their

19:16

computer uh just by thinking so like

19:19

this first the first uh product we call

19:22

telepathy where you can control your

19:24

computer and phone and through and

19:26

through your computer and phone almost

19:27

anything just just by thinking you just

19:30

lie there and think and you can move the

19:32

the mouse coaster around the screen and

19:34

things and like you know the we're g to

19:40

do patient has agreed to do sort of a uh

19:44

like I think a live demo of just it is

19:46

qu quadriplegic uh where he literally is

19:49

just controlling the the screen he can

19:51

like um play video games download

19:54

software uh like really anything you can

19:57

do with a mouse um just by

20:00

thinking um which is pretty wild it it

20:03

is it is pretty wild uh let let's turn

20:06

to one

20:08

last I should say there's a long way to

20:10

go from that to uh a whole brain

20:13

interface so our current uh neur link

20:16

just has a th000 electrodes I think

20:18

ultimately you need something which

20:20

which has you know probably 100,000 or

20:23

or a million electrodes now these are

20:25

very tiny very tiny electrodes that

20:27

they're tiny wires way smaller than a

20:29

human hair um and um you know so there's

20:34

this I I just want to emphasize a long

20:36

way from from where NE link is today to

20:38

having a whole brain interface like um

20:41

like the neural a and the Ian Banks uh

20:44

novels uh but this this is definitely

20:47

physically

20:48

possible um and um you know it's sort of

20:52

kind of like if you can't beat him join

20:53

him you

20:54

know um so you know a human brain which

20:58

is has a lot of constraints it's you

21:00

know it's it's yeah they only have about

21:03

maybe 10 watts of higher brain function

21:06

um and uh we do a lot with our little 10

21:10

watts it's not you know it's impressive

21:13

you know that we we' we've buil with um

21:17

such a low power computer

21:21

really it you know I sort of think it's

21:25

like it's it's not bad for a bunch of

21:27

monkeys you know

21:30

um I'll get some good laughs from that

21:32

we've all watched you go from the uh the

21:35

Roadster to the model 3 and Y and and

21:37

from Falcon 1 to Starship so I think

21:41

going from the first implants to uh

21:43

something that's got more capacity it's

21:45

just just a matter of if not when or a

21:49

matter of when not if right hey everyone

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will thank you all right let's go back

23:19

to the episode um let's talk to I think

23:23

ultimately like said you'll have uh like

23:27

um you'll have uh kind of a whole brain

23:30

interface U that uh I guess is a sort of

23:35

perhaps a form of immortality and and

23:37

that if if it can um

23:42

uh kind of upload your brain State uh to

23:46

you know if your brain state is

23:48

essentially stored um you're kind of

23:50

backed up on a hard drive I suppose um

23:54

then uh you know you can always restore

23:56

that brain State into a a biological

23:59

body or or or maybe a robot or something

24:01

um and I want to emphasize again it's

24:04

like you know many years in the future

24:05

but but I I we're not breaking any laws

24:08

of physics like I think this is this is

24:10

probably something that will happen

24:13

um the

24:15

rate we're building digital super

24:17

intelligence it may just be that you

24:20

know we'll have digital super

24:21

intelligence and it'll just solve the

24:22

solve the problem for us um but uh in in

24:26

the meantime uh we we'll progressing

24:29

with our meat computerss and trying to

24:31

try to do do as good job as possible

24:35

that's was going to say the uh uh the

24:37

the tools that we have are growing at a

24:39

super exponential rate that are making

24:41

our linear projections of the future

24:43

seem boring in some

24:45

ways what one last topic my friend uh

24:48

which is where you and I first connected

24:50

in the world of space congratulations on

24:52

Starship 3 uh amazing amazing flight

24:56

just really spectacular and we all saw

24:59

uh a falcon 9 launch from Vandenberg

25:01

last night uh so that was great and uh

25:05

oh yeah um uh just again thankful for

25:09

the work you're doing you know I it's

25:11

fascinating because I grew up at the

25:14

late stages of the Apollo and into into

25:16

the uh into the uh uh shuttle program

25:21

and I can't imagine that any government

25:24

would be pushing space as rapidly and

25:27

dramatically as you are and so um uh

25:32

thank you for what you're doing there

25:34

that's all I can say uh absolutely well

25:37

I mean the the goal of SpaceX is is it's

25:40

just a a much bigger goal than any any

25:43

government program which is to

25:46

um uh rockets and spacecraft that are

25:49

capable of making life

25:50

multiplanetary so you know I mean step

25:54

one is actually having that as a goal if

25:56

you don't have that as a goal you're

25:57

definitely not going achieve it um if

25:59

you have it as a goal well now at least

26:01

you have a chance of achieving it um and

26:04

this the thing about Starship is it is

26:07

it is the the first rocket where uh

26:11

making life multiplanetary and you have

26:13

building a self-sustaining City on Mars

26:16

is uh is at least possible um uh it's

26:20

still obviously an immense amount of

26:21

work but but it is the first rocket word

26:24

um that is success of in making like

26:27

multi plator is at least one of the

26:29

possible

26:31

outcomes yeah

26:34

um I'm wondering if you're willing to

26:36

venture a guess on when you'll be on the

26:40

moon I think pretty soon

26:44

um I'd be surprised if it's if it's

26:47

longer than about 3 years uh to be

26:49

landing Starships on the moon um and uh

26:53

because the rate progression of Starship

26:55

is very rapid um you know we're hoping

26:58

to do at least uh another maybe five or

27:01

six flights this year and with each

27:03

successive flight making significant

27:05

improvements uh so I think we got a

27:09

decent shot of achieving um full

27:12

reusability of both stages uh the

27:15

booster and the ship uh this year um and

27:19

if not this year I think you know knock

27:21

on with it's like I think it's a very

27:23

high probability of achieving full

27:25

reusability uh next year which um really

27:28

is the fundamental breakthrough needed

27:30

to make life

27:32

multiplanetary

27:34

um

27:36

yeah for for those that that that that

27:39

don't don't know the rocket industry

27:41

that that well that they may not be

27:43

aware that that that this is really the

27:44

Holy Grail of rocketry is is full full

27:47

and Rapid reusability um because at that

27:50

point you're uh you're really just

27:52

constrained by your um propellant costs

27:56

and Starship you know almost 80% of

27:58

pallet is liquid oxygen which is very

28:01

low cost um and then the fuel is met

28:03

there sort of a little over 20% fuel

28:05

which is methane was the lowest cost

28:07

fuel so if you have um full rapid

28:11

reability uh then um your actual cost

28:15

per flight of Starship uh even though

28:17

it's it'll be capable of um we think

28:19

ultimately 200 tons to uh to orbit uh

28:23

will be maybe the

28:27

FL say you miss say 200,000 you

28:32

said the the the price of the fuel you

28:35

said for Starship flight would be how

28:39

much yeah the the the I

28:44

mean if Most states are um reusable and

28:49

with without a refurbishment then you or

28:52

without you know you'd have scheduled

28:54

maintenance just like a an aircraft but

28:58

uh with with if if you get to full

29:00

reusability where there's no um no work

29:04

required between fights then you you you

29:07

you then

29:09

um the cost you know is really uh you

29:14

the cost of repellent is maybe a million

29:16

dollars or less per flight um so then

29:19

it's

29:23

U number of

29:27

flights

29:37

magude better

29:40

than any

29:43

vehicle anybody listen I'm so grateful

29:47

thank you for your time today thank you

29:48

for not taking my advice when I tried to

29:50

get you to uh fund the original X prise

29:51

instead of starting SpaceX and uh and

29:55

you know everybody here in the room has

29:57

a we call a massive transformative

29:59

purpose in a moonshot and it's uh we're

30:02

living in a day where people can make a

30:05

you know to use Steve's word Steve Jobs

30:07

words the dent in the universe and

30:09

nobody's making a bigger Dent than you

30:11

um thank

30:13

you thank you for everything let's give

30:15

it up for Elon

30:17

[Music]

30:26

Musk

Interactive Summary

This video features a discussion with Elon Musk about the development of AI, the future of human intelligence and augmentation through Neuralink, and the progress of SpaceX in achieving multiplanetary capabilities.

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