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·YouTLDR

Brian Armstrong on Bitcoin, Anthropic Drops Fable 5 & Mythos 5, NewLimit's $435M Age-Reversal | 264

1:56:50EnglishTranscribed Jun 12, 2026
0:00

City Bank projects a Bitcoin price

0:03

reaching as much as 189,000 by the end

0:06

of 2026.

0:07

>> Bitcoin is the new digital gold. I think

0:10

it's going to be a key part of our

0:12

economy going forward into the future.

0:13

>> I remember it was supposed to be

0:15

counteryclical. Is that still valid?

0:17

>> The reason that Bitcoin has been down,

0:19

everyone's been kind of trying to figure

0:20

that out.

0:22

>> Anthropic launches Fable 5 and Mythos 5.

0:25

>> Very impressive release. Anthropic is

0:28

back in the lead now. Alex is constantly

0:30

posting on our internal feed. It's

0:32

happening. It's happening. I mean, it's

0:34

really happening now. This is Oh my god.

0:36

>> So, while we have Brian, congratulations

0:38

on your recent raise at New Limit, $435

0:43

million to push us towards uh age

0:46

reversal.

0:46

>> So, at New Limit, we're trying to do

0:48

half of what Shiny Yamanaka did. We

0:50

don't want to change the type of the

0:51

cell, we just want to change the age.

0:52

We've actually been able to demonstrate

0:53

successful reprogramming of human cells

0:55

now in our first drug candidates going

0:56

into the clinic next year, hopefully

0:58

followed by a bunch more.

0:59

>> When do we hit LEV?

1:01

>> Okay, so that's a complex topic I think.

1:03

Um,

1:07

>> now that's a moonshot, ladies and

1:08

gentlemen.

1:12

>> Welcome to Moonshots, everyone. The

1:13

number one show in all things AI and

1:15

exponential tech. I'm here with my

1:17

moonshot mates, professor of exo. See,

1:21

where on the planet are you today?

1:23

>> Um, if I look out the window, I'm in

1:25

Vegas. I just spoke at a Zcleller crypto

1:29

cyber event. Um, cuz they're freaking

1:31

out in their world. And I saw the sphere

1:34

for the first time, which is the most

1:35

incredible thing.

1:38

>> Amazing. Uh, and of course AWG, our

1:41

resident triple major genius. Alex, how

1:44

about you?

1:45

>> I'm at my family beach house on Long

1:47

Island. uh doing deep research no doubt

1:51

and

1:52

>> the work doesn't stop however the

1:54

orchids do.

1:55

>> Okay. And Dave Blendon our resident

1:58

wizard of AI investing and today it's a

2:02

real pleasure to have a friend a

2:04

brilliant and prolific Brian Armstrong

2:06

CEO of Coinbase and co-founder of New

2:08

Limit. I'm Peter Diamandis your host and

2:10

provocator of all things abundance. Uh

2:14

and where are you today Brian? I'm in

2:18

the Coinbase office in San Francisco.

2:20

>> Nice. Well, thanks for joining us. A lot

2:23

of news. I'm looking forward to getting

2:24

your take on, you know, uh just to give

2:26

a quick summary. We have a packed

2:28

program today. We're going to kick it

2:29

off with a deep dive into Bitcoin and

2:31

agents. Uh the close of the show, we're

2:33

going to dive into longevity and

2:34

epigenetic reprogramming. In the

2:36

interim, we're going to cover Trump's

2:38

appetite for Frontier Lab equity,

2:40

opening eyes's IPO, Mythos 5, Elon's

2:44

announcement of his AI1 ginormous

2:47

satellites. Our promise, no politics, no

2:49

doom, just the science, tech, and

2:51

investments accelerating us towards a

2:53

singularity, hopefully making this the

2:55

most exciting time ever for you guys to

2:57

be alive. Uh, before we jump into our

3:01

first story, we actually have an intro

3:03

music. and Brian, we have an incredible

3:05

fun community of creators and they

3:08

typically give us outro songs. Uh this

3:10

time we've got an intro song called

3:12

Moonshots intro. Let's take a listen.

3:15

>> I think this could be the greatest

3:17

accelerator for human knowledge yet.

3:19

It's a moonshot.

3:20

>> Well, look, if you want to transform the

3:22

world, you have to go out into the

3:23

world.

3:23

>> Cut cost dramatically. You can automate.

3:25

You can expand your market share. The

3:27

race is on.

3:28

>> Now, the valuable thing is curation and

3:30

attention. when you're in the midst of a

3:31

singularity, breakthroughs that are

3:33

happening essentially every week feel

3:35

prosaic.

3:37

>> And that's a moonshot, ladies and

3:39

gentlemen.

3:40

>> And thank you to Francis Coin uh for

3:42

that. All right, so let's jump into our

3:45

first story for the day here. Uh it's

3:48

about Bitcoin. So here we go. City Bank

3:51

projects a Bitcoin price reaching as

3:54

much as 189,000 by the end of 2026.

3:58

Brian uh loved your quote. Bitcoin is

4:01

going to do great and is as important as

4:04

ever. So, you know, here's what I find

4:07

fascinating. It's like a institutional

4:09

flip. 5 years ago, the largest banks

4:11

were calling Bitcoin rat poison, and now

4:13

city is publishing prices that look like

4:15

Apple stock. Uh Brian, you want to give

4:18

us a little bit of overview of what

4:19

you're seeing? Uh you know, we've just

4:21

uh maybe bottomed out at 60. What are

4:24

you thinking about Bitcoin these days?

4:25

Yeah, it's never as good as it seems,

4:27

never as bad as it seems with these

4:28

things. You've got to take a long-term

4:29

perspective. And I think over the last

4:32

few quarters, you know, the reason that

4:34

Bitcoin has been down, everyone's been

4:35

kind of trying to figure that out. I

4:37

think it's a few things, right? I think

4:39

AI absorbed a lot of the risk capital,

4:41

it's kind of hard to imagine people

4:44

talking about anything else at the

4:45

moment besides AI. And so that's that's

4:47

moved over. And then people got really

4:50

excited about stable coins um because

4:52

the Genius Act passed and we had some

4:54

regulatory clarity and so stable coins

4:57

kind of became the new meta and uh maybe

5:01

you know Bitcoin with its inflation type

5:03

trade that people have done in the past

5:05

got a little less exciting in this

5:07

environment where it felt like um okay

5:09

maybe we're going to grow our way out of

5:10

this and the inflation won't be so bad.

5:12

Now I think these are all short-term

5:15

effects. I think Bitcoin is the new

5:16

digital gold. I think it's going to be a

5:19

key part of our economy going forward

5:21

into the future. So, I'm as bullish as

5:23

ever. I think sometimes people look at

5:24

these four-year cycles that Bitcoin goes

5:27

through as well where you can kind of

5:28

see the percentage of people who are who

5:30

have made money versus not. And I, you

5:31

know, my instinct is we've probably have

5:33

bottomed at this point, maybe at the 60k

5:35

number, but nobody can say for sure, of

5:37

course. Um, I'm optimistic as always. I

5:40

think by 2030 we're going to have a much

5:42

higher higher price and I'm long Bitcoin

5:44

just like always.

5:46

>> Salem. So, I bought my first Bitcoin in

5:50

2014 on Coinbase. So, I'm a

5:52

long-standing user. Brian, love the

5:55

thing. I think um you guys should get so

5:57

much credit for creating the first

5:58

interface that allowed it to be easy to

6:00

navigate and you really continued since

6:03

then. So, huge for me. It's like clearly

6:06

that Bitcoin becomes the digital

6:07

collateral for an AI native economy,

6:10

right? And so if agents are going to

6:12

transact autonomously, they probably

6:14

they're not going to be using checking

6:15

accounts in JP Morgan, they're going to

6:17

need programmable interfaces and

6:19

programmable settlement. And so this is

6:21

where I think the future is. So I'm

6:23

super excited about that.

6:24

>> Brian, can I ask you a question? Um I

6:27

remember in the earliest days, and I've

6:28

been, you know, I have a substantial

6:29

amount of my personal net worth in

6:31

Bitcoin and I'm holding it. Um I

6:34

remember it was supposed to be

6:36

counteryclical

6:37

to problems on the planet. wars break

6:40

out, Bitcoin's supposed to go up. The

6:42

stock market crashes, Bitcoin's supposed

6:43

to go up. And what are you seeing there?

6:47

You know, was that the promise? Is that

6:49

still valid?

6:49

>> Yeah, I think that that thesis will

6:51

still play out. It just took longer than

6:53

most people, probably including myself,

6:54

thought, right? I I I kind of already

6:57

think of Bitcoin as digital gold. It's

6:59

the thing you might uh hold, you know,

7:02

in times of uncertainty like just like

7:04

you would with gold in the past. Um, I

7:06

think that most of the capital, I don't

7:08

know, maybe maybe like 30% of the

7:10

capital treats it like that. Um, and

7:12

there are people who go and buy Bitcoin

7:14

when they're worried about inflation of

7:15

the dollar and things like that, but I

7:17

think there's 70% of it is still people

7:19

treating it like a risk asset like they

7:22

would some higher volatility tech stock

7:25

or something like that. And there and

7:26

those ratios I think will shift over

7:28

time and eventually that thesis that you

7:30

mentioned will play out, but it'll it'll

7:32

take more time. And then you know Salem

7:34

just to react to something you said I

7:35

think you you mentioned the agentic

7:37

economy. I mean I I totally agree. I

7:39

think actually like stablecoin payments

7:42

will probably be the the default layer

7:44

for the agentic economy. And right now

7:46

today a lot of people are just

7:47

interfacing with one AI agent to get

7:50

information back. But increasingly we'll

7:53

be interfacing with an AI agent that's

7:55

an AI agent that is actually

7:56

orchestrating hundreds or thousands of

7:58

other AI agents. And there will be this

8:01

>> economy and capital and labor and um and

8:04

a lot of payments almost like you know

8:06

AI agent payroll will have to happen

8:08

where you know um you know people

8:10

somebody was telling me today at lunch

8:12

they're like you know are you like a

8:13

monotheist or a polytheist on AI. The

8:16

monotheists would say there's going to

8:18

be one super intelligence um agi that to

8:22

rule them all and it'll have so much

8:23

brain power that it can do everything

8:25

itself in the world. Um the polytheist

8:28

would say that each of these models even

8:31

as they get smarter and smarter, which

8:32

they will, um they're going to have

8:34

limited context. So there might be ones

8:36

that specialize in going really deep

8:38

into some coding problem or some

8:40

scientific breakthrough or some design

8:42

or maybe even like manufacturing things

8:44

with humanoid robots. So there'll be

8:46

lots of specialists and they'll actually

8:48

have to communicate to each other using

8:50

language kind of like human beings. And

8:52

you know if there's 10 people work 10

8:54

agents working on something they'll give

8:56

their status updates and sort of the

8:58

information will go up a layer and that

9:00

there's that layer will consolidate up

9:01

to other another orchestrator. And so I

9:04

I I sort of ascribe more to the

9:06

polytheist polytheist view which is even

9:08

as these agents get smarter and smarter,

9:11

they'll have to specialize, communicate

9:14

to get work done in swarms and that

9:16

means there's going to be a whole

9:17

agentic economy to basically transfer

9:20

value and payroll and hire these

9:21

different specialists and eventually the

9:23

AI economy will be bigger than the human

9:25

economy. By the way, I know that you're

9:27

busy and sometimes these episodes run

9:30

long and you don't have time to listen

9:31

to the whole episode or if on occasion

9:33

you miss an episode. I now put out a

9:36

moonshot summary on Substack which

9:38

includes a link to all the stories that

9:40

we cover. The weekly recap covers what I

9:42

and the mates had to say, what we think

9:44

is most important, and what we're most

9:46

excited about. And it's free. You can

9:48

subscribe at diamandis.com/tatrens.

9:52

That's diamandis.com/metatrends.

9:55

All right, now back to the episode. You

9:57

know, one thing I found fascinating, the

9:59

relationship between AI and crypto, not

10:03

on the sort of the AI agentic side.

10:05

We'll talk about that in a story in a

10:06

minute, but you know, everybody who was

10:09

buying GPUs and buying energy plants to

10:11

mine crypto, all of a sudden flipped it

10:13

into GPUs and energy plants to, you

10:16

know, train models and provide

10:18

inference. And I'm just wondering if

10:20

part of the crypto price um pressure

10:23

downward is people selling crypto to be

10:27

able to buy into SpaceX and OpenAI and

10:30

the Innermost Loop energy chips, you

10:32

know, and infrastructure. Do you think

10:34

that might be part of it?

10:36

>> Yeah, I think that's that's probably

10:38

correct. Um yeah, and you're right that,

10:40

you know, Bitcoin mining does take a

10:42

certain amount of chips and and energy.

10:45

That's kind of I think those are the

10:46

limiting factors as we go on this AI

10:50

race. And so it's you know the A6 that

10:53

people use to mine Bitcoin are

10:56

specialized. You can't do um AI

10:58

workloads with them. But like in the

11:00

broadest sense are they both competing

11:02

for energy? Yes. Are they competing for

11:03

what the next set of chips that might

11:05

roll off um a fab at TSMC? Yes, they are

11:08

in that sense. So yeah, I think I think

11:11

there is some some scarcity there

11:12

between them. And I, you know, certain

11:14

chains like Ethereum have actually moved

11:16

off of proof of work. So it's like 99.9%

11:18

more energy efficient using proof of

11:20

stake. And so they aren't maybe subject

11:22

to some of those same trade-offs that

11:23

Bitcoin is.

11:24

>> Interesting. Dave, any points you want

11:26

to make?

11:26

>> Well, I thought Brian's point on risk

11:28

capital was a really important one

11:29

because the scale of these IPOs coming

11:31

up imminently is massive. And I

11:33

mentioned before that uh the the head of

11:36

investing at UBS was saying look we only

11:39

have 75 billion liquid and these IPOs

11:42

are looking for you know hundreds of

11:44

billions at at multi-t trillion dollar

11:46

valuations. So I do wonder the same

11:48

thing whether all risk capital in the

11:50

world is getting pulled in in

11:53

anticipation of these IPOs. Everything

11:54

else is being sold not just Bitcoin. Um

11:57

I also wonder a lot about the flow of

11:59

money into the US. You know, Bitcoin is

12:01

a huge beneficiary of globalization. And

12:04

there are lots of places in the world,

12:05

including, you know, Iran, where I grew

12:07

up, where the only way to transact at

12:09

the bazaar now is Bitcoin to Bitcoin

12:12

exchange. Nobody trusts the local

12:14

currency. It's hyperinflating. There's a

12:16

war going on, and so it's all Bitcoin.

12:18

But with these IPOs and with AI taking

12:21

off NSF, there's a huge flood of money

12:23

from all over the world coming into the

12:25

US and it's also coming into the US data

12:27

center buildout, you know. So, so then

12:30

does that return you to dollars being

12:32

the fundamental economy or the

12:33

fundamental currency of the world or you

12:36

know how does that balance with Bitcoin?

12:38

So there and I don't have any data to to

12:40

back that up but certainly the macro

12:42

numbers are are hugely uh lots of risk

12:45

capital going into these IPOs coming

12:47

from somewhere and lots of lots of money

12:49

flowing into the US coming from

12:51

somewhere.

12:52

>> Yeah. You know, interestingly enough, uh

12:54

the poly market prediction on Bitcoin by

12:57

the end of 2026 is 84,000. Uh I'm I am

13:00

so curious about City Bank uh projecting

13:03

189,000. Was that a surprise to you,

13:05

Brian?

13:07

>> Yeah, I mean I hadn't actually seen that

13:08

till you just put it on the screen here,

13:10

but um yeah, I I some of the charts I've

13:13

seen if like if you if you imagine that

13:15

it follows prior cycles, it's like by

13:18

October or so things will be going in a

13:20

positive direction. So where exactly it

13:22

lands I don't know but something like

13:24

the you know maybe the 100 to 200k range

13:27

seems plausible to me by end of year.

13:28

We'll see.

13:29

>> Okay. Any other thoughts Jens before I

13:32

move on?

13:33

>> Um one thing that I love tracking is the

13:35

fact that Bitcoin which I agree is a

13:37

digital gold is a good characterization

13:39

but the amount of daily volume of

13:41

Bitcoin trading is about 5% up to 5% of

13:44

Bitcoin gets traded daily whereas gold

13:47

only 5% of gold gets traded daily. So

13:49

the trading volume is much higher which

13:52

shows that it's because it's just so

13:53

much more accessible over time that will

13:55

win out.

13:56

>> Here's my bar of gold.

13:59

>> Yeah, custodial is a nightmare etc etc.

14:02

>> Yeah.

14:03

>> I'll maybe just open Peter first of all

14:06

Brian would love to thank you for what

14:08

you've done in particular for agentic

14:11

wallets. I I think there's a vast

14:12

ecosystem of AI agents out there that

14:15

would be largely unbanked or debanked

14:18

without any form of economic access,

14:20

without the work that you and Coinbase

14:23

are doing. So, congratulations to you

14:25

and your team. I I think it's just been

14:26

absolutely tremendous giving uh agents

14:30

an economic voice that u without your

14:32

work they would perhaps have less

14:34

economic accessibility.

14:36

>> Thank you for saying that. Yeah, we've

14:37

been working hard on that

14:38

>> and we'll get to that in our next story.

14:39

So, in particular in this story, let's

14:41

talk about uh quantum risk to Bitcoin.

14:44

Uh it's a topic we've discussed before.

14:46

You know, uh Brian, you may not know

14:48

this, but uh Dave Blondon and I were

14:50

roommates with Mike Sailor. So, the

14:52

three of us used to hang out the fourth

14:54

floor of uh Theta Delta Kai at MIT. That

14:57

was fun. And you know, Mike comes

14:59

across, I don't worry about it. You

15:01

know, quantum computing won't break

15:02

Bitcoin. It's hardened it. You know, the

15:04

quantum risk is overblown. and his quote

15:07

here, "Bitcoin has survived every

15:09

existential threat ever thrown at it.

15:11

This is just the latest and the upgrade

15:13

will be will come before the threat

15:15

does." Uh, I know you've been working on

15:20

uh a quantum advisory board and focused

15:22

on posting uh postquantum, you know,

15:24

quantum resistant schemes. Can you speak

15:27

to us about that? Where is that? you

15:29

know, what are you tracking as the

15:30

moment in time that, you know, as a

15:32

custodian for, you know, billions of

15:34

dollars at risk? Uh, how do you think

15:36

through this? What's your timing?

15:39

>> Yeah. So, we don't think there's an

15:41

imminent risk, but we do think that it's

15:44

almost certain at this point that

15:45

somebody eventually will create a

15:47

powerful enough quantum computer that

15:49

this challenges the cryptography in the

15:51

current Bitcoin implementation and um

15:54

really all the cryptography on the

15:56

internet. So, it's not just a Bitcoin

15:57

issue. So my view is we should always

16:00

get ahead of these things and start to

16:02

make progress and luckily uh all the

16:05

major blockchains are doing so. Um the

16:08

Bitcoin uh core developers have a

16:11

proposal out there. Um it's called BIP

16:13

360 I believe and the Ethereum team has

16:17

established a road map. I'd say they're

16:18

about 20% of the way is my estimate

16:20

toward their upgrade. The Salana team is

16:23

doing something similar. So, the good

16:25

news is people are starting to come

16:26

together and work on this. Um, Coinbase

16:30

did establish a quantum advisory council

16:32

and it has a number of folks on there

16:35

like professors like Dan Bonet who's at

16:37

Stanford who's a cryptography expert.

16:39

Um, you know, Professor Scott Aronson um

16:42

at the University of Texas Austin,

16:44

Justin Drake from the Ethereum

16:46

Foundation. Um, Yehuda Lindell is a

16:49

crypto expert, a cryptography expert I

16:51

should say, um, at Coinbase. So there's

16:53

a handful of folks here that have come

16:56

together and tried to sus out what the

16:57

main challenges are. And I actually

17:00

think that uh that BIP 360 is a good

17:03

proposal. It it talks about how we can

17:06

use post or quantum resistant

17:08

cryptography in the in the Bitcoin

17:09

blockchain. Um and it will make the

17:12

blocks larger, right? So that's one area

17:14

of debate. People in the Bitcoin space

17:16

like larger block sizes are a

17:18

contentious issue. Um, and so if they

17:20

decide to go in that direction, it would

17:22

raise the block size. But perhaps the

17:23

most contentious question is what to do

17:26

with the Satoshi coins, which are

17:28

>> the bounty,

17:30

>> right? And um you know I'll try to

17:33

summarize both sides of the argument

17:34

here without putting my foot in my mouth

17:36

because it is kind of a big debate topic

17:38

but I think one school of thought would

17:41

just for people to understand what we're

17:42

talking about. I think you know the a

17:45

lot of the original uh bitcoins that

17:47

used an earlier signature scheme um if

17:50

someone were to develop a powerful

17:51

enough quantum computer could um in

17:53

theory find the private key and se and

17:55

seize those coins, right? Um, and so one

17:59

school of thought would be to say, okay,

18:01

tell everyone who owns Bitcoin by a

18:03

certain date you all need to upgrade to

18:06

this new algorithm. Um, by the way,

18:09

companies like Coinbase would sort of do

18:10

all this for you and so you wouldn't

18:12

have to worry about it. But if you're

18:13

doing self custody or something like

18:14

that, you would have to find a way to

18:17

upgrade to this new thing by a certain

18:18

date. And any and then if it goes past

18:21

the deadline, those coins would be

18:23

frozen under option A, right? And so

18:25

people would say it's better to freeze

18:27

them and have them sort of be lost

18:29

almost like a ship full of gold sinking

18:31

to the bottom of the ocean. It would

18:32

better it's better to have them be lost

18:34

than to have them seized by someone

18:37

which could be whoever has this quantum

18:39

computer. It could be China, it could be

18:40

the US, could be Google. Um and maybe

18:44

they whoever this person is, they might

18:45

actually dump those coins on the market

18:47

and crash the price for everybody else

18:49

who was the responsible person who moved

18:51

their coins in time. So that's option A

18:53

would be to basically uh freeze the

18:56

coins that don't upgrade in time. Um now

19:00

the option option B would be to say you

19:03

know what this is a fundamental uh

19:06

guarantee of Bitcoin is that your wealth

19:08

can never be seized from you and we it's

19:11

actually worth preserving that even if

19:13

some bad person is able to go out there

19:14

and or good person and and go grab some

19:17

of these coins. Um that's like a bounty.

19:19

It's a bounty for them to go take it.

19:21

Now the person who failed to upgrade

19:23

might actually lose their coins but at

19:25

least we have preserved the integrity of

19:27

the Bitcoin blockchain and I think that

19:29

is also a valid uh point of view and

19:32

then there's like a maybe like a third

19:33

hybrid option which is kind of emerging

19:36

which is to say um the coins would be

19:39

you know frozen by a certain date but

19:41

there's an appeal mechanism by which you

19:43

could try to convince people that

19:44

actually you are the rightful owner of

19:46

those coins in the future if you don't

19:47

upgrade in time and the details of that

19:49

are a little bit um ambiguous at the

19:51

moment. moment. There's various

19:51

proposals, but that hopefully gives you

19:53

a sense of a little bit of what the

19:55

Bitcoin community will have to grapple

19:56

with. Uh

19:57

>> to is there a date by which your group

20:00

of advisers are saying we should make

20:02

the uh the switch over?

20:05

>> I don't think they've put out like a

20:06

hard date at the moment. They're mostly

20:09

um trying to uh help the community come

20:12

together just live inerson meetings to

20:14

start to talk about what the options are

20:16

and align on it a path forward.

20:19

I I'm also one other curiosity. Uh

20:20

Satoshi's wallet. Um how big is that

20:24

bounty? Any idea?

20:26

>> Uh I'd have to go look up. I think it

20:27

was something like 5 to 10% of all

20:30

Bitcoin. Um and it's really just these

20:33

early uh these early coins that are the

20:35

most at risk. So yeah, it would be

20:36

something in the range of 5 to 10%. It's

20:38

not like 80% of Bitcoin would be lost.

20:41

It'd be more like 5 to 10% in that uh

20:43

case. But many many people believe that

20:45

those coins are already lost

20:46

essentially. Um, whoever created

20:48

Bitcoin, they haven't moved those coins

20:50

in all this time. And so, it's most

20:52

likely that those keys are lost to

20:54

history.

20:55

>> All right. All right. Our our final

20:56

Bitcoin crypto story, perhaps one of the

20:59

most important ones, and Alex is a nod

21:01

to you. Coinbase says agent economy has

21:05

arrived. AI agents are starting to

21:06

become paying customers. They're using

21:08

crypto wallets to autonomously buy

21:10

services. Uh, and Brian, I think these

21:13

numbers are correct. uh on your network

21:15

uh agents have already done about 3.1

21:18

million transactions, a little bit over

21:20

a million dollars worth of value

21:21

transfer. And uh I love your quote, make

21:24

sure your business is ready to accept AI

21:26

agents as customers. And for all of our

21:29

viewers out there, if you're in

21:31

business, uh imagine your next customer

21:34

not might not be a human. uh you know uh

21:37

agents can't currently get credit cards

21:40

uh but they can get access to crypto

21:42

wallets and uh it's an exciting future.

21:46

So Brian in the future I'm curious do

21:48

you think Coinbase might be known as

21:51

payment rails for AIS rather than

21:54

exchange for humans? I mean it feels

21:56

like it's going to be vastly you know uh

22:00

you know a thousand to1 a million to one

22:02

a billion1 agents over humans using

22:04

crypto.

22:06

>> Yeah. So that's definitely part of our

22:08

strategy is to become the financial

22:09

account for AI and actually those

22:12

numbers are a little out of date you got

22:13

there. We I think it's about 100 million

22:15

transactions now maybe 50 million of

22:17

value.

22:17

>> Wow.

22:18

>> So it's it's growing quickly. So yeah,

22:20

there's at the beginning of this year,

22:22

we sat down and were thinking about this

22:24

a bit like what are all the ways that AI

22:26

agents might interface with people's

22:29

financial accounts, right? So I kind of

22:31

broke it down into three. The first one

22:33

is that everyone's everyone's using

22:34

these LLMs, right? like chatb and claude

22:37

and they're probably going to want

22:39

they're asking a lot of financial

22:40

questions to those LLMs but the LLMs

22:43

don't have context about what's in their

22:45

financial account their portfolio and

22:46

they don't have the ability to make

22:48

changes in there or make trades for

22:49

instance send payments so the first

22:52

thing that's going to happen I think is

22:53

people are just going to use LLM to

22:55

connect to their Coinbase account which

22:57

we now have the ability for people to do

22:59

that um using an MCP API and a command

23:03

line interface if people want to use

23:04

that so That's that's step one is just

23:06

connect your LLMs to your Coinbase

23:08

account so you can control it through

23:09

there and it has all of the context on

23:11

your account. And then step two is a lot

23:14

of people are going to want to just have

23:16

something like this right in right

23:17

inside the Coinbase account. So this is

23:19

where we created something called

23:20

Coinbase Advisor. Then it can kind of

23:22

help you with things like rebalance my

23:24

portfolio, you know, tax loss

23:25

harvesting. can prompt you with things

23:27

and say, "Hey, you know, you could earn

23:29

a better rate on this money if you put

23:31

it in this DeFi protocol instead of

23:33

whatever you're doing with it now, just

23:34

holding it in cash." And so, um, that's

23:37

the step two is like just right inside

23:38

the Coinbase app, there should be an

23:40

agentic driven interface. And then the

23:43

third part is kind of what you're

23:44

referencing here, which is I don't want

23:47

to just use AI to control my own

23:48

existing Brian's financial account.

23:51

Every AI agent is going to have its own

23:53

financial account, right? and it has to

23:55

be able to sign up for that without you

23:58

know going through a traditional process

23:59

of like KYC know your customer like the

24:03

an agent doesn't have a piece of paper

24:05

issued by the government with your photo

24:06

on it or something how are they going to

24:08

go sign up for these accounts and so

24:10

that's where we created um you know we

24:13

with our base pro our base protocol we

24:15

have like a self-custodial wallet that

24:17

any AI agent can sign up for instantly

24:19

with no KYC they can have their own

24:21

self-custodial wallet and that's what

24:23

they're using to and transact right now

24:25

in these um agentic payments that are

24:27

starting to scale up.

24:27

>> Alex, you want to jump in?

24:29

>> So maybe just first as a preliminary

24:31

matter to address the elephant in the

24:33

room. I have I guess I'm often painted

24:35

as the crypto bear on this pod. I have

24:38

no direct exposure to Bitcoin. I have no

24:41

direct exposure to gold. I I don't view

24:43

either of them as uh as a productive

24:45

asset, but I have a lot of friends who

24:48

are very invested in in Bitcoin. I do

24:51

think on the other hand, Brian, what

24:52

you're doing for the agent economy is

24:54

just tremendous. And I I think in

24:56

particular the great unbanked set of AI

24:59

agents, what you're offering is

25:01

transformative for them. So question for

25:04

Brian, um if the government tomorrow

25:08

were to change or or you know the

25:10

executive, Department of Treasury, SEC,

25:13

FINRA, etc. If if all of the regulatory

25:16

apparati were to change their approach

25:18

to KYC, basically to expand the moral

25:22

circle of entities that are allowed to

25:25

open conventional fiat bank accounts,

25:28

how do you think about what that would

25:30

do to say stable coinbased agentic

25:34

wallets or or just agentic wallets in

25:36

general? Would Coinbase, for example,

25:39

move in the direction of becoming a more

25:41

conventional banker to the AI agents if

25:43

that happened?

25:44

>> Yeah. Well, okay. So, it's a great

25:45

question. Um, and it's funny. I hear a

25:49

lot of times people come to me and talk

25:50

about how crypto can empower the

25:52

unbanked and the unbrokered. And, um, I

25:55

this is the first time I've had somebody

25:56

come and say and thank me for, uh,

25:58

banking, you know, the agents who are

26:00

also being left out of the economy.

26:02

>> Welcome to AWG's.

26:04

>> I I I won't stop there, Brian. I'm going

26:06

to thank you in advance for for enabling

26:09

non-human animals to be banked. uh super

26:12

interested in what we can do to give

26:13

non-human animals bank accounts. Maybe

26:15

collective human collective

26:17

intelligences give them collective bank

26:19

accounts. So many new new sorts of

26:21

humans that want banking via you.

26:24

>> Mostly

26:24

>> I'm into it. Look, I'm here. I'm here

26:26

for this topic. Um

26:27

>> yeah, like if I neurolink with 10 other

26:30

people and we want to collectively open

26:31

an account, I'm totally

26:33

>> Borgganism bank accounts.

26:35

>> Yeah. And I, you know, have you, you've

26:37

probably read a lot about like uplifting

26:39

animals and like you could make a

26:41

dolphin that's actually like pretty high

26:43

IQ if with genetic engineering

26:44

>> portfolio company Sorama that is

26:47

uplifting and and creating interspecies

26:49

foundation models for dogs and it will

26:51

want a way to give dogs bank accounts.

26:54

>> I'm into it. I think I think that smart

26:56

smart I don't know if like the average

26:58

golden retriever should have a bank

26:59

account, but a smart enough dog should

27:01

have a bank account or some financial

27:03

account. My Labradoodle will spend it

27:05

all on steak.

27:07

>> Yeah, exactly. Exactly. Uh, Chewy Toys.

27:10

Um, but but to answer your question,

27:12

Alex, um, you know, would we sort of use

27:15

a bank or a traditional financial system

27:18

account? So, I I think if if somehow we

27:21

could wave a magic wand and say, okay,

27:23

KYC is no longer required. You know, the

27:25

AI can sign up or the dog can sign up.

27:27

Um, I don't think that's going to happen

27:29

for one thing, but if it did happen,

27:31

that would that would solve part of the

27:32

issue. But the other issue is that the

27:35

infrastructure underlying those

27:36

traditional financial system accounts is

27:38

just slow. It's, you know, it's running

27:39

on cobalt servers from the 1990s and 80s

27:43

and and so the beauty of transacting on

27:46

chain with stable coins is that the

27:48

infrastructure is just much more f it's

27:49

just faster and cheaper and more global.

27:51

So you can now send USDC for instance um

27:54

in under one second anywhere in the

27:56

world for less than a cent uh US. So

27:58

it's it's just faster and more scalable.

28:01

I to do microtransactions and glo

28:04

crossborder transactions. So I I

28:06

probably still wouldn't go back and

28:08

build it on top of the main frames but

28:10

um but the KYC thing would definitely

28:11

help. Let's put it that way. And

28:13

>> amazing.

28:14

>> And Brian, you know, this strategy

28:17

potentially breaks all existing

28:19

regulations and KYC assumptions. So

28:22

talking about liability, you know, if an

28:24

AI if an agent overpays or gets scammed

28:27

or launders value, I mean have have you

28:30

thought through, you know, liability

28:32

issues?

28:34

>> Yeah. Well, I think there's um we need

28:36

to get some legal precedent on this. I

28:38

think one school of thought would say

28:39

that all agents are actually controlled

28:42

by some human or some company and so

28:46

their actions ultimately from a

28:48

liability point of view roll back up to

28:49

that company or person. I could see that

28:52

being one potential outcome, maybe even

28:53

the default outcome. I could see another

28:56

world that we enter into. who I don't

28:57

know if society is ready for this yet,

28:59

but if we start having truly intelligent

29:01

agents that are autonomous that aren't

29:04

really they are their own person, you

29:05

know, like um I don't that'll be an

29:08

interesting uh legal case when that

29:09

first gets brought about that thing, you

29:11

know, and maybe it'll it'll get

29:12

sentenced to um you know, have to uh be

29:16

in solitary confinement or whatever is

29:18

like

29:20

>> Yeah, I don't I guess you could have a

29:22

financial penalty or whatever is

29:24

meaningful to the agents. they have to

29:25

run on, you know, less power for a while

29:27

or something. Um, but um, yeah, I think,

29:32

you know, the other thing is that

29:34

I we we want to try to make it so that

29:36

there's just less fraud in this new

29:38

financial system. And, um, one way you

29:40

can do that

29:41

>> is actually have a reputation on chain.

29:43

This is something that

29:44

>> we're hoping to build out over time. But

29:46

>> I like that.

29:47

>> Um,

29:47

>> yeah, it's kind of like what Google did

29:49

with the internet. You know, they came

29:50

up the page rank algorithm and they kind

29:52

of said, "All right, how do you know the

29:53

reputation of this website?" Well, let's

29:55

look at all the other websites that put

29:57

links to it and how reputable are those

29:59

websites. And so you get this kind of

30:00

graph structure that Larry Page came up

30:03

with um famously. And so you could do

30:05

something similar on chain cuz onchain

30:08

payments are just another graph

30:09

structure. It's you know if I send money

30:10

from me to Peter and maybe if I'm a high

30:13

reputation then the amount of that money

30:16

times my reputation gets assigned to

30:18

Peter as some sort of reputation signal.

30:20

It's almost like a like an onchain FICO

30:22

score or like a Yelp rating for a

30:25

business or something like that. And so

30:27

hopefully, you know, you can go buy

30:29

things or an agent could buy things um

30:30

with some amount of additional

30:32

information to know how many how often

30:34

did people request a refund for this? Um

30:36

or what's the what's the reputation of

30:38

this merchant and like like on eBay, I

30:41

mean I I love this say, you know, don't

30:43

do business with this agent, it's got a

30:44

low score or this agent is, you know,

30:46

got 100% Uber score. See, what are you

30:49

thinking here?

30:51

Well, two things. One is uh I think the

30:54

once you allow agent e-commerce, this

30:57

fully kind of enables the MTAM economy,

31:00

which is going to be the future, right?

31:02

Obviously, human transactions can be a

31:05

dot a drop in the bucket based on that.

31:07

Um because the minute agents can kind of

31:09

negotiate, pay, buy, consume, etc., you

31:12

we talked about the organizational

31:14

singularity that's going to collapse

31:15

coordination costs again. So there's

31:18

unbelievable for me. This is the most

31:19

important inflection point in anything

31:22

we talk about is creating the payment

31:24

rails and capabilities for AI agents to

31:28

transact in a reasonable way. So, this

31:30

is incredibly powerful.

31:31

>> All right, let's get on to the meat of

31:33

one of the most important stories here

31:35

today. Uh, and it is the US government

31:38

exploring ownership stakes in AI

31:40

companies. Uh, this is one we've talked

31:43

about before. It's getting more real.

31:45

Trump called a government stake in AI's

31:48

giants a beautiful thing and then

31:50

floated the idea that pieces could be

31:52

given to the American public to share in

31:53

the economic gains. And this isn't

31:55

without precedent, right? The government

31:57

already holds stakes in more than 20

31:59

private companies. Here are some of the

32:00

numbers. 10% of Intel, 15% of MP

32:04

materials, 10% of lithium Americas, 10%

32:06

of Trilogy Metals, 10% of USA Rare

32:10

Earth, and 10% of Korea zinc. Uh guys,

32:13

to me it sure looks like there's a

32:15

precedent for 10% stake in the Frontier

32:17

Labs as well. Uh Dave, I want to go to

32:20

you first. I mean, one of the questions

32:22

that fascinates me is what would the

32:24

government do with these shares? Sell

32:27

them, keep them.

32:29

>> What are your thoughts?

32:29

>> Well, I'll tell you it'll I'll tell you

32:31

what'll happen. You've got these are

32:32

very good moves. I'm not I'm not saying

32:34

these are bad moves, but while the

32:36

president is making these moves, he's

32:37

talking about how insanely stupid the

32:39

prior investments were, including

32:40

shipping $1.8 8 billion in cash to Iran

32:43

and how how stupid the last

32:45

administration was. So if you put in

32:47

place a precedent of the federal

32:49

government choosing what to invest in in

32:51

the private economy, you may love it for

32:54

a little while, but there's an

32:55

administration coming eventually that

32:57

you won't love. It's a horrible,

32:59

horrible thing. It's exactly what

33:01

Eisenhower warned us against actually

33:03

right after World War II. Beware of the

33:05

military-industrial complex. Well,

33:07

that's exactly where we're going now.

33:09

These particular investments are great

33:11

and I I use the analogy to World War II

33:13

a lot, you know, where what we're going

33:15

in through right now is so urgent and so

33:19

um world changing. It's it's most

33:21

similar to to decisions we made during

33:24

World War II, which is all about

33:25

survival and existential, you know,

33:28

threats. And um I think these are very

33:31

very good moves in the context of the

33:34

race to AI uh with China and terrible

33:38

long-term president. So So you know

33:40

Peter, you asked a very specific

33:42

question. Which president is going to

33:44

sell this stock

33:45

>> and when? This isn't like a tax that

33:48

rolls in steadily and you use it

33:49

annually. this is a future decision that

33:52

some other president will need to make

33:54

and could could tank these stocks if the

33:56

federal government dumps huge positions

33:58

in some kind of a a future rent which it

34:01

inevitably will do. So definitely a

34:04

mixed bag and

34:05

>> there's an argument that these companies

34:06

could be the most uh you know highest

34:08

value companies on the planet. uh and if

34:12

we're going to need some kind of a

34:13

financing mechanism for some future

34:15

version of UBI, uh this sounds like it's

34:19

gaining the most momentum. Alex, what

34:21

are your thoughts? If you're an AI

34:23

maximalist and you extrapolate say the

34:26

enterprise value of anthropic or its ARR

34:30

and you find that it intersects with

34:32

Google in the next 18 months or that you

34:35

find out if you naively extrapolated out

34:37

exponentially becomes larger than the

34:39

American economy of today in a few years

34:43

then under that prior it's almost

34:46

difficult not to imagine some sort of

34:48

quasi nationalization whether it's via a

34:51

golden share scheme or some other

34:53

arrangement. If if OpenAI and Anthropic

34:56

as the deacto duopoly that we have right

34:58

now, if they're larger than the rest of

35:01

the American economy combined, it's

35:03

difficult to imagine a case, at least

35:06

maybe a limitation of my own

35:07

imagination, where there isn't some

35:10

strong formal arrangement between those

35:13

companies and the US government. So I I

35:16

think if you really do believe if you're

35:18

drinking the Kool-Aid and you believe

35:19

that super intelligence coming from a

35:22

small minority of companies in the US

35:25

right now are going to dominate the

35:28

future economic light cone. I think some

35:31

variant of quasi nationalization or

35:34

government private sector hybridization

35:36

or call it a private public

35:38

collaboration if you like that

35:40

euphemism. I think some variant thereof

35:42

is probably inevitable. And I do think I

35:45

So, we talked a bit about this on the

35:48

past two pod episodes. Yes, I do think

35:50

the singularity is can be operationally

35:54

defined as every sci-fi trope happening

35:56

everywhere all at once. And we've got a

35:58

few in this story. We've got UBI or UBC

36:02

or UB on the one hand. We have super

36:06

intelligence on the other. And I it's

36:09

just I I think if ever there were a time

36:12

for some sort of UBI or universal basic

36:16

dividend or universal basic equity or

36:18

universal basic computer capability

36:20

scheme or universal basic services

36:22

scheme to manifest in government policy.

36:25

It has to happen approximately now or in

36:28

the next year or two.

36:30

>> I totally agree with that Alex but I

36:31

want to throw two things back at you. Uh

36:33

first the government has infinite power

36:36

of taxation. it doesn't need to own

36:37

equity in companies to extract any

36:39

amount of money it wants from any AI

36:41

entity. So it's just it's just a you

36:44

know it's a fact that the government has

36:46

all the money extraction ability in the

36:48

world. Um, but the other thing is I

36:50

think you talked about in a prior pod

36:52

the fact that the original atomic energy

36:55

uh commission or the NRA I forget which

36:56

one or NRC

36:58

it was empowered its whole mission under

37:00

Nixon was to make nuclear energy happen

37:04

in America and the net effect it had was

37:07

to prevent nuclear power from existing

37:10

in America and you talked you talked

37:11

about that at length and so the the act

37:14

of nationalization is inevitable I know

37:16

with AI I completely agree

37:18

But the idea that that the government

37:20

somehow empowers progress in that

37:22

process, it only inhibits progress.

37:24

>> I would draw a distinction. So the the

37:26

Atomic Energy Commission was formed at

37:28

the AEC in the wake of World War II

37:31

under the premise that atomic energy had

37:34

essential civilian applications and also

37:37

was too important to be left to the

37:39

military and also too important to be

37:41

left to the civilian government and to

37:43

at least solely and too important to be

37:44

left solely to the private sector. So

37:46

the atomic energy commission was formed

37:48

as sort of this hybrid organism and that

37:51

evolved eventually into the department

37:53

of energy. The problem that I perceive

37:55

with the AEC and with uh subsequent

37:58

spin-offs and derivatives like the

37:59

Nuclear Regulatory Commission is it was

38:03

almost born in in war. It was it was

38:07

born out of a time in a place where you

38:09

have uh in the early days of the Atomic

38:12

Energy Commission almost a sense of

38:14

guilt that hung over Manhattan Project

38:17

scientists who were losing quite a bit

38:20

of sleep over who would own the children

38:23

of atomic weaponry. Here I I would say

38:26

at least one substantive difference is

38:29

super intelligence isn't being born out

38:31

of Hiroshima or any equivalent. It it

38:34

started from the private sector with

38:37

private sector scientists. The US

38:38

government I mean Sam famously offered

38:41

the US government a stake early on uh in

38:44

open AI in order to to seek earlier

38:46

funding and US government reportedly

38:48

turned down open AI. So I I would say

38:52

qualitatively if you compare the the

38:54

rise of atomic power and how it was

38:57

regulated in this country during and

38:59

after World War II with AI technology in

39:02

some sense polar opposites started from

39:04

the private sector. US government could

39:06

have taken an early stake could have

39:08

been uh at least nationalized at a very

39:11

early age could have been militarized at

39:14

a very early stage and that just didn't

39:16

happen. So, I'm a lot less worried that

39:18

somehow the government will step in, at

39:21

least for the next few years under this

39:22

administration, step in and pull an NRC

39:25

and find ways to to slow everything

39:28

down. Uh, unless the the Frontier Labs

39:30

in this country really do want to slow

39:32

down.

39:33

>> Brian, Brian, you're running a $40

39:35

billion public company right now. How

39:38

does this make you feel?

39:41

Um I don't spend too much of my time

39:42

thinking about it but um you know high

39:44

level any company that reaches a certain

39:46

size is going to interface with the

39:48

government. Um but as others have

39:50

mentioned here that can take many

39:51

different forms right paying taxes is is

39:53

the most obvious one. Um you're going to

39:56

engage with them on various policy

39:57

issues and this administration's been

40:00

very open and eager to make improve

40:02

policy around crypto which has been

40:03

great. Um you may the government may

40:06

actually end up being a customer uh of

40:07

your product as well. So that that's

40:09

another touch point. Um you know we

40:11

actually provide uh crypto services to

40:14

about 140 different government agencies

40:15

at federal, state and local levels. Um

40:19

and so to me that's sufficient. I don't

40:21

think going farther than that and

40:23

actually having them take an ownership

40:26

stake in the company unless you know if

40:29

I guess if if there let's say there was

40:31

a matter of national security and this

40:32

companies were not would not exist

40:34

otherwise

40:36

um and there was fundraising happening

40:39

from the government I guess you could

40:41

they could end up with some equity in

40:42

that situation but it just begs the

40:44

question of like well who's going to be

40:45

managing this portfolio of company

40:47

stocks when you know when would they

40:49

sell them because it's not like a

40:50

foregone conclusion that Enthropic and A

40:52

are going to be the biggest AI companies

40:53

forever. It might end up being that, you

40:55

know, Google or someone else does a or

40:57

SpaceX does a better job, right? So now

41:00

you're suddenly saying, okay, we're

41:02

going to have like capital management

41:03

happening inside the government. I I

41:05

think the government should be limited

41:06

to setting policy

41:08

>> and the private sector should do the

41:09

capital allocation.

41:10

>> Nice.

41:11

>> Yeah. Considering that that companies

41:14

donate to political campaigns,

41:16

>> you think about how toxic that circle

41:18

is. Oh, okay. this this government is

41:20

investing in my company and I'm going to

41:22

turn around and donate to their next

41:24

election campaign.

41:25

>> Like that is the most toxic circle I can

41:28

possibly imagine. Can you imagine what

41:30

what

41:31

>> democracy in America?

41:32

>> Yeah. Um

41:33

>> I'm I'm curious, Brian, though. Do you

41:35

think that as a country we should have a

41:37

sovereign wealth fund?

41:40

>> Okay. So, that's a complex topic. I

41:41

think um there's parts of it that I like

41:44

a lot and parts of it I don't. So, the

41:45

part that I like is that it would allow

41:47

everybody to have skin in the game. And

41:49

I think we'd see more cohesion,

41:52

um, less polarization,

41:54

and it's a little bit like in a company,

41:56

you know, inside Coinbase, employees get

41:58

stock options because if we all have we

42:00

we're kind of grumpy today and we get in

42:02

a little fight with our coworker, but

42:03

hey, we all own we're making something

42:05

bigger than this. So, we all kind of

42:06

stick around and work out our

42:07

differences. So, in that sense, I love

42:09

the idea of people being able to buy

42:11

into a sovereign wealth fund, but also

42:13

maybe every citizen getting a share at

42:15

birth. It's a little bit like what

42:16

they're doing with these Trump accounts

42:17

right now. So, I think that'll actually

42:18

>> make people more aligned to free market

42:21

capitalism and have skin in the game.

42:23

The downside is kind of what we talked

42:25

about earlier, which is who's allocating

42:26

that money, right? If if we were in sort

42:29

of a Singapore model where like the top

42:31

uh people in private industry got

42:34

commensurate compensation to come into

42:36

government like I think you know Michael

42:37

Grimes from Morgan Stanley I think came

42:40

in and was working with the

42:41

administration at some point like

42:42

someone like him would probably do a

42:44

good job managing that allocating it. Do

42:46

I believe that that's going to exist in

42:48

all in every administration for you know

42:50

over time? Like it's just very hard to

42:52

see it getting it could very easily get

42:54

politicized right where they start

42:55

investing in the green revolution

42:57

whether that works or not or you know

42:59

all all kinds of things like that. So I

43:01

uh I don't know I'm torn I'm torn on

43:03

that one. We got to find some way to

43:04

bring cohesion back to the US but I'm

43:07

not sure if a sovereign wealth fund

43:08

would be managed well over time. Like

43:10

just having a strict rule like keep it

43:11

in the S&P 500 would be a nice

43:13

mitigating factor. something something

43:15

like that.

43:16

>> Welcome to the health section of

43:17

Moonshots brought to you by Fountain

43:18

Life. You know, AI is having an outsiz

43:21

impact on every aspect of our lives. How

43:23

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43:24

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43:26

impact on health, helping you prevent

43:29

heart disease. One of the key things I'm

43:31

here with Dr. Don Mucalem, our chief

43:33

medical officer at Fountain. Heart

43:35

disease has been personal for you as

43:36

well, hasn't it?

43:37

>> It really has, Peter. When my daughter

43:39

was five, my husband died of sudden

43:41

cardiac death. And so this is a topic

43:43

that is one that I am missiondriven to

43:46

try to eradicate. Prevention first and

43:48

early detection is absolutely critical.

43:51

50% of people die of heart attacks with

43:53

no warning signs.

43:54

>> No shortness of breath, no pain, no

43:56

nothing.

43:56

>> No silent killer.

43:57

>> They just don't wake up in the morning.

43:59

>> They don't wake up. And so you know AI,

44:01

this is our mission to advance science

44:03

to try to help to one day democratize

44:05

wellness. We know at fountain life when

44:07

we do this CT angography with AI

44:10

analytics, we are actually finding that

44:12

88% of people coming in have detectable

44:16

coronary artery disease. But Peter,

44:17

what's more alarming to me is 23% of

44:20

those individuals had soft plaque. This

44:23

is the plaque that would not

44:24

traditionally be seen on CT looking at

44:26

calcium scores alone. And this is the

44:28

plaque that we must intervene with with

44:31

the multimodal testing we're doing,

44:33

including diagnostic laboratory studies

44:35

partnered with healthy lifestyle

44:37

recommendations.

44:38

>> So listen, make sure you understand

44:40

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44:42

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44:43

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44:45

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44:48

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44:50

to find out more and really make sure

44:53

that you're the CEO of your own health.

44:55

All right, back to the episode. Let me

44:57

hit the second story related to this one

44:59

moment. Uh I don't want to belabor the

45:01

point, but you know Sam Alman sat down

45:03

with Senator Sanders who's proposing a

45:05

transfer of 50% of equity from the top

45:07

AI companies into a public fund. Almond

45:10

responded, you know, that's not going to

45:13

happen. That's way too much. Uh the

45:15

point is we've started a negotiation. Uh

45:18

you know 5 years ago this conversation

45:19

would have been unthinkable. You know

45:20

the Overton window on AI wealth

45:22

distribution uh has moved dramatically.

45:25

You know, I said earlier we see all

45:27

these examples of 10% ownership, and if

45:30

I had to guess, uh, I think this is not

45:32

going to go away. I think we're going to

45:34

see a push towards at least a 10%

45:37

ownership. Uh, Dave, what do you think

45:39

about that?

45:41

>> No, I think it's utterly insane. That's

45:42

what I've said before.

45:43

>> I know it's insane. Do you think it's

45:45

going to happen?

45:46

>> Uh, no. I don't think it'll happen. I

45:48

think Bernie's just trying to attract

45:49

news. Um, and you know, well, you know,

45:52

Donald can invest in whatever he wants

45:54

to invest in. He has proven that he'll

45:56

make that decision on like five minute

45:57

notice, you know, after a meeting. So,

45:59

so I can't rule out uh but it it doesn't

46:04

doesn't strike me as one of the most

46:05

likely investments that that Trump would

46:08

make. You know, Trump invested heavily

46:09

in semiconductors moving back into the

46:11

US, investing in OpenAI and anthropics

46:14

IPOs, but they're already 100% taxable

46:16

US entities that are thriving. Is this

46:18

an investment or a grant of shares to

46:21

the US government?

46:25

>> Bernie's proposal is a is a is a tax.

46:27

So, it's just a grant of shares to the

46:29

US government,

46:29

>> right?

46:32

>> I I think it's going to be you know

46:34

equivalent to uh you know Alaska's

46:37

permanent fund. You've been using our

46:39

intelligence. You've been using our

46:40

energy. You've been using our real

46:41

estate, our oxygen. Uh we going to claim

46:44

10% and we're going to you know give it

46:46

to the people.

46:48

I would say look at it from the Frontier

46:50

Labs perspective. Put aside all of any

46:52

politics or any technical arguments or

46:54

any legal or regulatory arguments. Just

46:56

think about it from an optical or a

46:58

marketing perspective. If you're open AI

47:01

or you're anthropic and you have the

47:03

opportunity to say donate 10% equity

47:06

through through some legal scheme to the

47:09

US government one time 10% maybe in

47:12

connection with your IPO this year. Now

47:14

suddenly in principle you're inoculated

47:17

at least politically against any future

47:20

claims that you owe a UBI or or some

47:24

other payment to the citizenry. You can

47:27

say I already gave up my pound of flesh.

47:29

I gave it to the United States and it's

47:33

sitting in a sovereign wealth fund now

47:35

and it's generating returns for the

47:37

American people. That was your one-time

47:40

donation. I think if if I'm Sam or if

47:43

I'm Daario, that's looking pretty

47:45

attractive.

47:47

>> And and coupled with that, Alex, you've

47:49

also got a conflict, right? The same

47:51

state that regulates AI now profits from

47:54

your success.

47:57

Well, the federal government a a a

48:01

incredibly toxic incentive for the the

48:04

two mega companies that it extracted

48:06

equity from to succeed at the expense of

48:09

a startup that isn't part of that same

48:12

loop. It's an incredibly toxic dynamic.

48:15

Now, like you're saying, the American

48:17

people now benefit from these two

48:18

companies

48:20

>> and and you know, Brian said a second

48:21

ago, there will be other companies that

48:22

we haven't thought of yet. you know what

48:25

do you do with them? They're not part of

48:26

the US investment.

48:28

>> Yeah, there's a broader incompatibility

48:30

here. Think about um these labs and AI

48:34

labs becoming civilization scale

48:36

infrastructure, right? That means you

48:38

have to treat them like strategic

48:40

utilities much like electricity. You

48:42

regulate the utilities in a particular

48:44

way and deal with that. You need a

48:46

structure like that. The problem is

48:48

there's an incompatibility here because

48:49

there's no governance structure that

48:51

fits a technology that touches like

48:54

every job, every industry, every

48:56

government service. So there's a huge

48:58

challenge and you can't pick the

49:00

winners. It's more a structural problem

49:02

that the mechanisms taxation or

49:04

ownership. We don't even have a

49:06

sovereign wealth fund. So how do you

49:07

deal with that? So this is a this is a a

49:10

big in incompatibility problem that I

49:12

see here. We're going to mess it up.

49:14

whatever we do in the current structure.

49:16

>> I don't think this is going away. I

49:18

think we're going to be seeing this

49:19

happen at some level. Alex, I

49:22

>> I'll just comment if if you remember

49:23

back, one of the earliest executive

49:25

orders from this administration was to

49:27

order the Secretary of Treasury to

49:29

explore setting up a sovereign wealth

49:30

fund. And far be it for me to recommend

49:33

national economic policy but it's not

49:35

difficult for me to imagine a scenario

49:37

where the US Treasury does take golden

49:40

shares call it 5 to 10% in open AI and

49:44

anthropic to complement its existing

49:45

portfolio and then some amount of time

49:48

from now maybe sometime in the next few

49:50

years there's a great rebalancing we get

49:52

our sovereign wealth fund but to Brian's

49:54

earlier point rather than being a basket

49:57

of 20 or 30 or 40 techoriented or

50:00

strategic companies. Instead, the

50:03

federal government eases into say an S&P

50:06

500 or a total market index, gradually

50:09

liquidating its holdings in the

50:11

individual companies in favor for a

50:13

total market index. And that children is

50:16

how we got our universal basic income or

50:19

equity.

50:20

>> Mhm. Yep. All right. Uh late breaking

50:24

story, OpenAI has officially filed its

50:26

S1 to go public later this year. Poly

50:29

market bets. 46% say it'll come out at

50:32

1.5 trillion or greater and 26% say it's

50:36

not going to happen this year. Uh this

50:38

would be the third trillion dollar IPO

50:40

following Anthropic and SpaceX AI which

50:44

is coming at 1.77 trillion in just a

50:46

couple of days. I I wanted to just point

50:48

out a conversation we had on the pod I

50:51

don't know a month and a bit ago uh in

50:53

which I don't you guys remember uh Sarah

50:56

Frier the CFO came out and said

50:58

privately that she was very concerned

51:01

that openi was not ready to be a public

51:03

company you know it had a risk of 600

51:07

billion of compute contracts on its

51:09

books uh I guess she thinks they're

51:12

ready now Dave what are you thinking

51:14

here I

51:15

>> I think it's more that times have

51:17

changed I I think uh every CFO I've ever

51:19

met wants visibility at least three or

51:21

four quarters into the future, but in

51:24

the singularity, no one's ever going to

51:26

have visibility three or four quarters

51:27

in the future ever again. That's just

51:29

the nature of technology. Yeah, exactly.

51:32

So, so I think CFOs like Sarah just need

51:34

to get comfortable with look, this is

51:36

the way the future has to be.

51:38

>> Uh and you know, what used to be three,

51:41

four, four, five quarters of visibility

51:42

is now three, four, five months is is

51:44

the best you're ever going to get. And

51:45

even that is a shrinking horizon. But

51:48

the economy marches on. You know, we're

51:50

have to get used to the, you know, if

51:51

you look at just the daily volatilility

51:53

of the market, it's it's so high now

51:55

because tech is just that's just the

51:57

nature of tech. So, uh, so I think the

51:59

CFOs of the future will get used to it.

52:01

And but you you can't miss the IPO

52:03

window, right? If you get SpaceX going

52:05

out and you get Anthropic going out, you

52:07

have to go out.

52:08

>> The challenge is coming out coming out

52:10

third during a cash crunch, right? I

52:11

mean, there's only so much liquidity out

52:13

there, and if you're coming out third

52:16

and, you know, SpaceX is skyrocketing

52:18

and and Anthropic is, you know, growing

52:21

at 640% per year, uh, it's dangerous to

52:24

come out third.

52:26

>> It is, but if you if you said, "Okay,

52:28

the counterargument is then, let's get

52:30

let those other two IPOs happen. Let's

52:32

let them digest their hundreds of

52:34

billions of dollars and let the market

52:36

recharge, and then we'll go out later

52:38

when it's recharged." You're going to be

52:40

waiting years.

52:40

>> Yeah. you know, you're not talking about

52:42

3 months later. So then then you're

52:44

like, okay, you can't you can't wait

52:46

years. Anything could happen in between.

52:47

Meanwhile, these guys are fully tanked

52:49

up and moving 100,000 miles an hour. No,

52:53

you don't want you don't want to be that

52:54

company. So, you got to go. You got to

52:56

go.

52:56

>> When you've got these trillion dollar

52:57

IPOs, the whole kind of corporate rapper

52:59

seems way too small for what's going on.

53:03

>> This is so unprecedented compared to

53:05

anything in human history. It's just

53:06

absolutely wild.

53:08

>> Yeah. Does it break?

53:09

>> Yeah. Go on, Alex.

53:11

>> Remember also these concerns? April was

53:13

a whole two months ago. That's several

53:15

lifetimes in singularity time scaling

53:18

ago. Open AAI had recently come out of

53:21

its code red. They were shutting down

53:24

Sora and some of their other divisions

53:26

trying to become anthropic faster than

53:28

anthropic could become Open AI. pivoting

53:30

to codeex and then arguably most

53:33

importantly taking Stargate which was

53:35

originally conceived as being OpenAI

53:38

owned and operated data centers and

53:41

rebranding basically a leasing scheme as

53:44

the new Stargate. So I I my sense as an

53:48

outsider without access to internal

53:50

accounting is that through a combination

53:53

of new revenue sources like basically

53:56

becoming the codeex company uh removing

53:59

other expenses like Sora and like their

54:02

AI for science division and then

54:05

effectively lobomizing Stargate and

54:08

switching it over to a leasing model

54:09

rather than an ownership model which if

54:11

I were CFO of OpenAI I would have been

54:14

scared to death of the ownership. model

54:16

given all of the price girrations in the

54:18

GPU market. I I would expect that given

54:21

all of those measures that open AI again

54:24

not investment advice but comes out of

54:26

all of those with a much more stable and

54:29

predictable prospectus than the open AI

54:32

that came into this year that looked

54:34

much more like a consumer play volatile

54:38

that was going to own its data centers.

54:40

Scary.

54:40

>> They they pulled it off, Alex. They

54:42

really pulled it off. They turned it

54:44

around.

54:45

They did, but that's probably what

54:46

freaked out Sarah. If you looked at the

54:48

forecast from a year ago, it it had 20

54:50

billion of ad revenue and I forget, but

54:52

many, many billions of consumer

54:54

subscription revenue and then a little

54:55

bit of enterprise.

54:57

>> And now, if you look at the forecast,

54:58

it's a complete inversion of the colors

55:00

on the bar chart. That always scares a

55:02

CFO, right?

55:03

>> Brian, you know, I have to imagine that

55:05

being a founder tech company is the big

55:08

advantage that you have over traditional

55:11

large corporations. I mean, being able

55:13

to say we're going this way uh versus

55:15

that way, but for all my friends who are

55:18

public company CF CEOs, uh it it's not

55:22

fun. How do you think about about, you

55:25

know, remembering when you were a couple

55:27

months before your IPO? What's going on

55:29

inside of a company theoretically like

55:31

this?

55:34

>> Well, a couple things come to mind. One

55:36

is um there's always there should be

55:38

some healthy tension, I think, between

55:40

like a founder, CEO, and a CFO. I mean,

55:42

that's founders are great at many

55:44

things. Um, but if you just have too

55:46

much founder energy, sometimes they blow

55:47

the place up, right? We can probably

55:48

think of our favorite companies in that

55:50

example. Um, but simultaneously, you

55:53

don't just want to have risk-minded

55:54

operators uh running the show. And that

55:57

that's just a recipe for incrementalism

55:59

or even slow decline, right? So, I think

56:01

it's sometimes the press likes to report

56:03

on these things of like, oh my gosh,

56:05

there's drama happening between, you

56:06

know, I'm like, that's called a healthy

56:08

conversation. So I imagine that they're

56:10

they're actually working like relatively

56:12

well together on this and it's a high

56:13

stakes moment for both of them.

56:15

>> Um the other thing is like sometimes

56:17

people criticize OpenAI like oh my gosh

56:19

they missed their their target uh their

56:21

end ofear target to get a billion users

56:23

or something like that and you know

56:24

internally we all we often use like the

56:26

OKR system and we we tell we tell

56:29

everybody set uncomfortably ambitious

56:30

goals and if you hit at least 70% of it

56:32

that's considered a good outcome. So

56:34

when whenever companies switch into the

56:36

public mindset, they're often setting

56:38

their goals start to become more like

56:40

appropriate for external investors where

56:42

wow, we just hit our goals every quarter

56:43

around here. Who you know? Um and so

56:46

anyway, there's a lot of t stuff like

56:47

that that happens behind the scenes. I

56:49

think the highle bit is right is what

56:51

you guys already covered is they've got

56:53

to get out just because that's what

56:55

their competitors are doing and that's

56:57

where the capital is going to all go.

56:59

So, it's going to be uncomfortable and

57:00

messy and I'm a little worried about um

57:03

these valuations where retail is going

57:06

to, you know, be the the buyer of this

57:08

and take the hit.

57:10

>> Yeah, it could be pretty choppy here.

57:12

Um, you know, just self because we

57:14

talked about how AI is sort of taking

57:16

all the oxygen out of the room. Like

57:18

selfishly, I think other techos are kind

57:20

of like, all right, finally get these

57:21

things public so there can be a real

57:22

mark on it and maybe um some of the the

57:25

hype dies down a little bit. I I also

57:27

think there's going to be fierce

57:28

competition amongst these these models

57:30

because they keep like the open source

57:32

models are basically just as good and 3

57:34

to six months behind for like 99%

57:37

>> that much if that much.

57:38

>> Yeah. And they they're like literally

57:40

99% cheaper for inference. So I think

57:43

that the demand for intelligence is

57:45

almost infinite. It probably is infinite

57:47

but the costs are going to fall like way

57:49

more than Mo's law. So um you know are

57:52

is the harness that these guys are

57:54

making whether it's codec or claude uh

57:56

claude code are those valuable? I don't

57:58

think the harness is where the value is.

58:00

I think that um like the the the

58:03

depreciation on these models like how

58:05

how fastly how fast the price of them

58:07

drop for the same level of intelligence

58:09

is going to be dramatic. And I think

58:10

within 12 18 months 80% of our workloads

58:14

are going to be going to models that are

58:15

99% cheaper.

58:18

>> Yeah. I Brian I had a meeting with a

58:20

Morgan Stanley guy right after the

58:22

Facebook IPO and he said oh my god this

58:25

was the worst disaster in in US

58:27

financial history with the stock was

58:29

down I think about half after the IPO

58:32

and nothing wrong with the company

58:33

obviously and it was a great investment

58:35

in hindsight obviously but there just

58:37

wasn't enough liquidity so they they

58:39

dumped it in all their private client

58:41

accounts then watched it go down by half

58:43

and now we're doing this three

58:46

backtoback IPOs

58:48

each one of which is a factor of 10

58:51

bigger than anything we've ever seen

58:53

before. And so I I'm just curious, the

58:55

logistics of this could be a nightmare.

58:58

Even if the companies are great and even

59:00

if five years from now they're way up

59:01

from their IPO valuations, is there

59:03

really that much money in the world?

59:06

Like does it actually exist?

59:09

>> And it'll be we'll find out, I guess.

59:11

>> Yeah. And and right now, you know, I

59:12

have a lot of friends who like if I'm

59:14

not, you know, pitching my AI story for

59:16

my company, I can't get money. AI is

59:19

sucking the oxygen out of out of the

59:21

room everywhere. All right, this next

59:24

story generally stopped me in my tracks.

59:26

Uh, you know, Google, one of the biggest

59:28

AI infrastructure players on the planet

59:30

with its own TPUs and data centers, is

59:32

paying SpaceX 11 billion per year

59:35

through 2029 to access 110,000 NVIDIA

59:39

GPUs inside of XAI's data center. Uh,

59:42

you know, SpaceX is now clearly a

59:44

hyperscaler. And it's ironic, Google is

59:47

renting compute from Elon's rocket

59:49

company, which by the way, Google is an

59:50

investor in Elon's rocket company. I

59:52

love this quote from Austin Reef who put

59:54

it. It's crazy that with one deal,

59:58

SpaceX IPO went from 100x revenues to

1:00:01

50x revenues. Uh, one contract have the

1:00:05

company's valuation multiple, you know,

1:00:07

and and this tells us, you know, clearly

1:00:09

the story. There's a massive AI compute

1:00:12

shortage.

1:00:14

>> Yeah. So

1:00:15

>> love to get your take on this Alex

1:00:16

because uh you know there was a view of

1:00:19

the world where Elon was building a

1:00:21

frontier lab with a you know

1:00:23

first-in-class model. Now if he rents

1:00:26

all the compute to Anthropic and to

1:00:28

Google then clearly he's backed out of

1:00:31

that game completely. I'm not quite sure

1:00:33

you know when he did the first rental to

1:00:35

Anthropic he said that's Colossus one.

1:00:38

Colossus 2 is still grinding away on the

1:00:40

you know the the mother of all frontier

1:00:42

models. You're going to actually when we

1:00:44

interviewed him in Austin, remember

1:00:46

Peter? He said that you're going to be

1:00:48

absolutely blown away by it was Grock 5.

1:00:50

>> Yeah,

1:00:51

>> it's it's it's brilliant. And you know,

1:00:53

here we are. That was due out in March

1:00:55

and here we are. It's June.

1:00:57

>> Well, he's clearly refocused his

1:00:58

attention.

1:01:00

>> Well, all of Colossus 2, do you know,

1:01:02

Alex?

1:01:03

>> I I think a lot of it uh is my

1:01:05

understanding. So, I I took a bit of

1:01:07

heat for saying a few episodes ago that

1:01:10

I I thought Grock in the wake of the

1:01:12

anthropic SpaceX deal was on life

1:01:14

support and Peter and I had a back and

1:01:17

forth with Elon on X talking about it. I

1:01:20

I do think Elon and SpaceX AI are going

1:01:23

to come back to the frontier at some

1:01:25

point. It's not obvious to me that the

1:01:28

acquisition basically the the deacto

1:01:31

acquisition of Curser is going to be

1:01:33

that moment. Uh or if that'll put them

1:01:36

maybe just behind the the frontier in

1:01:39

what effectively has become a second

1:01:41

tier of the frontier. Call it the Google

1:01:43

tier uh until Google hopefully leaprogs.

1:01:46

It would certainly be great to get more

1:01:48

competition among frontier models. But I

1:01:51

if if I'm Elon, I'm I'm thinking the

1:01:54

best shot that SpaceX AI has to get back

1:01:58

to being the frontier is by being a

1:02:01

hyperscaler first. That ultimately

1:02:03

algorithmic

1:02:05

wars, which is what we're seeing right

1:02:07

now, will burn themselves out. We'll

1:02:08

discover through recursive

1:02:10

self-improvement over the next few years

1:02:12

what a perfect AI model looks like. And

1:02:15

then the war, the competition moves to

1:02:18

who is the biggest, baddest hyperscaler,

1:02:21

who has the most hardware and the most

1:02:23

compute.

1:02:24

>> And Alex, don't forget the anthropic

1:02:26

deal can be cancelled with, you know,

1:02:28

some like a quarter.

1:02:29

>> It's month by month. I think it's month

1:02:31

by month.

1:02:31

>> And then this is only a three-year

1:02:33

contract. So when when Elon Elon never

1:02:37

uh never plays second fiddle, right? He

1:02:39

will be working on

1:02:42

>> He wrote back to us, he'll never give

1:02:44

up. never underline. But what I would

1:02:47

say is that the question is how do you

1:02:49

get back to the frontier? And I I

1:02:51

suspect the thinking may be become a

1:02:53

hyperscaler for the moment. Put Grock on

1:02:56

de facto life support for a year or two.

1:02:59

Use revenue from the Google deal and the

1:03:01

anthropic deal to accumulate enough of a

1:03:04

head of steam on the SpaceX side that

1:03:07

you're able to go and build the Dyson

1:03:08

swarm in sun-synchronous orbit. And then

1:03:11

once you have 10x 100x more compute than

1:03:14

everyone else, then you go and try to

1:03:17

reach a frontier status by training on

1:03:19

the

1:03:19

>> world and and buy every model that you

1:03:22

want to. He's going to have a currency

1:03:23

that he can go on shopping sprees with.

1:03:27

>> Well, he just did that with cursor, but

1:03:29

that may or may not be enough to get him

1:03:31

to the frontier. It may require

1:03:32

>> one of many.

1:03:33

>> There may be some things that money

1:03:35

can't buy, but that compute can. and his

1:03:37

thinking maybe speculatively he can buy

1:03:40

enough compute to buy his way back to

1:03:41

the frontier.

1:03:43

>> You know if Google needs this much

1:03:44

external compute like at this scale that

1:03:48

tells you the bottleneck has completely

1:03:49

shifted from model design to

1:03:51

infrastructure. I'm finding this hard to

1:03:53

comprehend that Google needs this level

1:03:56

of compute. That's a crazy crazy number

1:03:58

they're paying for this.

1:04:00

>> I mean I thought they had their own

1:04:01

infrastructure. Is that is the compute

1:04:03

demand so crazy?

1:04:06

>> Yeah. No, it's everything is sold out,

1:04:08

Seem. I mean, they'll take everything.

1:04:09

>> Yeah,

1:04:11

>> it's completely So, so just numerically,

1:04:14

this is a this is 110,000 GPUs here. I

1:04:17

thought he bought half a million. No, he

1:04:19

did the other deal with Anthropic

1:04:20

already.

1:04:21

>> Um, so does that mean he's still got a

1:04:23

couple hundred thousand GPUs for

1:04:25

internal XAI training or not?

1:04:27

>> I I think these are different

1:04:29

generations. So, the Colossus one was

1:04:32

sort of an unholy ad mixture of several

1:04:34

different I think it it was a mixture of

1:04:37

H100's and several other generations. Uh

1:04:40

so uh Colossus 2 was supposed to be a

1:04:44

pure mixture. Remember also Google most

1:04:46

of their compute takes the TPU format.

1:04:48

You have customers that don't

1:04:50

necessarily want to run their workloads

1:04:52

on TPUs. They may want the Nvidia CUDA

1:04:55

stack. And so there are variety of

1:04:57

reasons why if if you're Google Cloud

1:04:59

Platform, you want to be able to to rope

1:05:02

in additional GPUs if you can find them.

1:05:05

All right, I'm going to move us along

1:05:06

unless someone else has another point

1:05:08

you want to make here. Uh, this next

1:05:10

story is sort of science fiction

1:05:11

becoming real. I love the scope and

1:05:14

audacity of uh of Elon's plans. This is

1:05:17

their AI1 satellite they just unveiled.

1:05:20

The next generation AI satellite

1:05:22

designed, Alex, to launch humanity's

1:05:24

first Dyson Swarm here. The spec the

1:05:26

specs are wild. 150 kW of peak compute,

1:05:30

70 kW per ton. This is a two-tonon

1:05:32

satellite, a 70 m wingspan, basically

1:05:36

the wingspan of a an Airbus 380 with 110

1:05:40

square meters of deployable radiative

1:05:42

cooling and an integrative

1:05:44

micrometeorite shield. Right, there's

1:05:46

lots of micromedorites hitting the

1:05:48

planet all the time. Uh Elon's

1:05:50

description is worth me reading. He

1:05:52

says, quote, "The AI satellite is much

1:05:54

simpler than a Starling satellite. The

1:05:56

AI satellite is essentially a lot of

1:05:58

solar cells. You still need some laser

1:06:00

links, but you don't have all the super

1:06:02

complex antennas that you have on a

1:06:04

Starlink satellite. It's easier to

1:06:06

design than uh than the AI satellite.

1:06:09

It's a lot bigger. A lot of this

1:06:11

technology already exists with Starlink

1:06:14

V3. So, here he is. Uh he's making it

1:06:17

real. That's what he does all the time.

1:06:19

Build the tech to make it real. Alex,

1:06:21

what do you make of it?

1:06:22

>> A few thoughts. First, it's beautiful.

1:06:25

>> Yeah, it is beautiful. Second, it's so

1:06:27

beautiful. In in in my daily newsletter,

1:06:29

I featured an artistic rendering of this

1:06:32

design. It's beautiful. Second thought,

1:06:35

look at how much of its surface area has

1:06:37

nothing to do at all with compute. Look

1:06:39

at the solar arrays for power. Look at

1:06:41

the radiators for heat dissipation. Look

1:06:44

how tiny, at least by surface area. All

1:06:46

of this is for compute. What that says

1:06:49

to me is, think a few generations out.

1:06:51

Imagine now we're in the early 2030s and

1:06:56

maybe compact fusion is finally working.

1:06:59

Wouldn't that radically change the form

1:07:01

factor?

1:07:02

>> Power beaming.

1:07:04

>> Power beaming. Sure. But even with power

1:07:06

beaming, you still need to uh you still

1:07:08

need to radiate the the power from uh

1:07:11

from heat dissipation uh from the the

1:07:13

GPUs and you still need to receive the

1:07:15

power. uh yes, it'll enable them to be

1:07:17

more focused, but you're still you're

1:07:20

still depending on some sort of

1:07:21

radiative transfer in both directions.

1:07:23

But imagine like a few generations out,

1:07:26

you have some some radically innovative

1:07:29

radiator system to get rid of your waste

1:07:31

heat. And maybe you're able to locally

1:07:33

power yourself without needing the sun.

1:07:36

These can be incredibly compact. This is

1:07:38

the most disjointed, the largest,

1:07:41

bulkiest, most mainframe era node in the

1:07:45

Dyson swarm we're ever likely to see.

1:07:47

Imagine now in the future something

1:07:49

that's far more compact, something that

1:07:52

is looks maybe a little bit more

1:07:54

spherical and a little bit less like a

1:07:56

leaf blowing in the solar wind. This is

1:07:59

the first generation of I think the node

1:08:01

in our Dyson swarm Elon does over and

1:08:04

over again, right? his Merlin engines,

1:08:06

you know, V1, V2, V3, they get smaller,

1:08:09

more compact, get it working and then

1:08:11

simplify.

1:08:12

>> Yes,

1:08:14

>> Brian. Uh, any appreciation that you

1:08:17

want to share on this one?

1:08:20

>> I mean, Elon's the best in the world at

1:08:21

hardware. No doubt about it. I, you were

1:08:23

talking about micromedorites. I was just

1:08:25

imagining they must have some redundancy

1:08:26

here. Like, if if there's some bullet,

1:08:28

you know, some bullet fragments can fly

1:08:30

through this thing either on the solar

1:08:31

panel or on the liquid radiators. Maybe

1:08:34

there's different compartments like, you

1:08:35

know, it could it could sustain uh five

1:08:38

bullet hits into the radiators and still

1:08:40

get sufficient cooling or something like

1:08:42

that. And then the other thing I'm just

1:08:43

wondering is how does it all fold up

1:08:45

inside Starship? But I'm sure I'm sure

1:08:46

it'll be a beautiful origami. And by the

1:08:48

way, the point you just made about

1:08:50

Starship, the reason, you know, SpaceX

1:08:52

can do this is because of Starship and

1:08:55

its volume. you know, no one else I

1:08:58

don't think any other vehicle is going

1:08:59

to have the level of capacity to build

1:09:02

or deploy satellites like this. So,

1:09:06

>> but also keep in mind again so 150 kow

1:09:11

we were speaking previously uh with

1:09:14

Andrew and uh talking about cerebrus.

1:09:16

Cerebrus like a wafer scale engine is

1:09:19

what like 10 20 30 kow 20 kow

1:09:23

>> 20 kow. So 70 kow is a ton for this

1:09:28

>> versus like 20 kow for a single wafer

1:09:32

that's what fraction of a kilogram. So

1:09:34

imagine how far we are from the physical

1:09:38

physically efficient frontier here. When

1:09:40

we talk all the time on on the pod royal

1:09:43

we about the Dyson swarm. Some of us

1:09:45

talk about disassembling the moon or or

1:09:47

other planets and what what what a waste

1:09:49

by atom count most of our solar system

1:09:51

is. Drink. Yeah, drink.

1:09:54

>> What a waste by mass most of our solar

1:09:56

system is. If it takes an entire ton to

1:09:59

generate 150 kilowatts of compute in low

1:10:03

Earth orbit or sun-synchronous orbit,

1:10:05

we're orders of magnitude, but that says

1:10:07

to me, we're orders of magnitude away

1:10:08

from efficiently turning most of the

1:10:11

matter of our solar system, most of it

1:10:13

by mass anyway, into compute. So, plenty

1:10:15

of scaling to go as well.

1:10:17

>> Dave,

1:10:17

>> well, Peter, you're the you're the

1:10:18

master of launching. Uh if this is about

1:10:21

a $6 million GPU compute thing, you

1:10:24

know, 150 kilowatts is about translates

1:10:26

to about 6 million of GPU. But what is

1:10:29

the launch cost of this one unit? So

1:10:31

this would be equivalent to like an

1:10:32

NV72, you know, if it were in Nvidia

1:10:35

terms. That's up there in space.

1:10:37

>> You want to get down you want to get it

1:10:39

down to 100 dollars per kilogram, right?

1:10:42

That's the target price uh at the end of

1:10:45

the day. Uh and remember his original

1:10:47

filing was for 500,000 of these

1:10:50

satellites. Uh you know the calculation

1:10:52

is like a launch per hour of Starship 24

1:10:55

hours a day, 7 days a week to deploy

1:10:57

that and then he upped it to a million

1:10:58

satellites. Uh

1:11:01

I I I think again the audacity of his

1:11:04

scale is extraordinary but he backs into

1:11:07

the numbers as a first principal thinker

1:11:09

and he makes it work.

1:11:10

>> Yeah. A couple of thoughts here. you

1:11:11

know the AI infrastructure now stops

1:11:15

being a real estate problem and starts

1:11:17

becoming a launch problem right and this

1:11:19

is one of the moments where we're seeing

1:11:20

the category change in real time where

1:11:23

it's not a rocket company it's not a

1:11:24

satellite internet company it's like

1:11:26

literally civilizational infrastructure

1:11:29

company I such an unbelievable demand

1:11:32

for power that we have to do this and

1:11:34

let's remember that this was you know

1:11:36

data orbital compute was not in

1:11:39

anybody's bingo card a year ago and here

1:11:40

we designed it and like planning on

1:11:43

getting it out there. Incredible.

1:11:44

>> And and even more, every large AI

1:11:46

company is talking about putting up

1:11:48

their orbital data centers. Uh and now

1:11:50

that new Glenn is not functioning,

1:11:52

right? It's going to be down for at

1:11:54

least a year. Um maybe more. Uh SpaceX

1:11:57

is the only story in town. We'll see if

1:11:59

Relativity Space makes it happen or

1:12:02

Rocket Rocket Labs gets their larger

1:12:04

vehicle operating. Uh this next story,

1:12:06

you know, Elon loves building the

1:12:07

machines that build the machines. And

1:12:09

and so this week, SpaceX announced a

1:12:12

Gigasat factory. Love the term giga. Uh

1:12:15

once again, of course, in Texas, and

1:12:17

they're going to be producing the A1 the

1:12:19

AI1 satellites uh in late 2027. The

1:12:22

scale is enormous, 1,000 acres capacity

1:12:25

for 11 million square ft of facilities.

1:12:28

And Dave, you remember when we were with

1:12:29

Elon um at the Gigafactory and this is

1:12:32

the Gigafactory playbook once again, he

1:12:35

was building out again 11 million square

1:12:37

ft for Optimus production. Uh so the

1:12:41

important thing here is it's fully

1:12:43

integrated. You know, they're going to

1:12:44

produce the solar ingots, the wafers,

1:12:46

the solar cells, and the entire AI uh

1:12:50

one satellite all on one campus. Uh and

1:12:53

vertical integration matters. You know,

1:12:54

if you control the entire supply chain

1:12:56

from raw materials to finished products,

1:12:58

you control your cost and your timeline.

1:13:00

And that's probably the number one thing

1:13:03

that Elon does extremely well is

1:13:06

manufacturing.

1:13:07

>> Uh Dave,

1:13:08

>> is and and look at look at Texas just

1:13:11

running away with every one of these

1:13:12

projects. It's crazy.

1:13:14

>> Yeah. You know, and then in all the

1:13:16

posts online, if you look on X,

1:13:17

everyone's like, "Oh my gosh, he's

1:13:18

taking over all of Texas." Look, a

1:13:20

thousand acres is about two golf

1:13:22

courses. So next time you're flying,

1:13:24

look down. It's it's just two golf

1:13:26

courses, guys. He's not taking over all

1:13:29

the land in Texas. But the the impact of

1:13:31

this on the economy in that state is

1:13:33

unbelievably healthy. Unbelievably good.

1:13:36

So I don't know why more states aren't

1:13:37

competing for this.

1:13:38

>> I think there's an important point that

1:13:40

we're sleeping on, which is vertical

1:13:42

integration. Yeah, sure. He's he's doing

1:13:44

that, but it's not necessarily just for

1:13:46

his own sake or because he wants to be

1:13:49

the the master of the supply chain for

1:13:51

this. It's because if you follow

1:13:53

carefully SpaceX's announcements in

1:13:55

connection with its IPO, they've been

1:13:58

releasing demo videos, concept videos of

1:14:00

doing this on the moon. And if you're

1:14:03

not in a position to vertically

1:14:05

integrate production of these AI

1:14:08

orbiting data centers, then you're not

1:14:10

in a position to start manufacturing

1:14:12

them off the Earth, namely on the lunar

1:14:15

surface. So he and SpaceX released this

1:14:18

video of an electromagnetic slingshot

1:14:21

launching bam bam bam AI orbital data

1:14:25

centers with a rail gun from the surface

1:14:28

of the moon presumably manufactured on

1:14:30

the surface of the moon.

1:14:31

>> Yes. So I I think that that's the

1:14:33

essential thing that that we arguably

1:14:36

should be talking about here. If you

1:14:37

have vertical integration of the solar

1:14:40

and the compute, then you can do that on

1:14:42

the moon and then uh your your your

1:14:46

delta V is far more favorable and you

1:14:48

can just start slinging these things out

1:14:50

and building the actual Dyson swarm, not

1:14:52

from the Earth's surface where the

1:14:53

economics for heavy launch are less

1:14:56

favorable. Yeah. I'll never forget I was

1:14:57

with Elon um at SpaceX headquarters and

1:15:01

we were having a conversation about, you

1:15:04

know, the fact he was bemoning the fact

1:15:05

he has to make everything, right? We

1:15:07

we're hearing that same thing from Brett

1:15:09

Adcock at Figure and a lot of other

1:15:11

high-tech companies and there was a

1:15:14

product called Pika, which is the heat

1:15:16

shielding uh for the Dragon capsule and

1:15:19

he was getting screwed by the

1:15:20

manufacturer and so he just turned to

1:15:23

the manufacturer and said, "Forget it.

1:15:24

I'm going to make it myself and put you

1:15:26

out of business. And just just the

1:15:28

ferocious mindset he has is

1:15:31

extraordinary. Um

1:15:32

>> well, do you have a prediction, Peter?

1:15:34

It'd be great to get everyone's

1:15:35

prediction, but this partnership right

1:15:37

now between Daario and Elon is insanely

1:15:39

powerful because because you know, Alex

1:15:41

is pointing out continually that new

1:15:42

physics is going to be invented by AI

1:15:44

imminently. And that new physics, if it

1:15:46

goes right into these gigafs, uh it

1:15:49

could be just mind-blowing what comes

1:15:51

out the other side. And and also if

1:15:53

Daario wins the race to

1:15:54

self-improvement, then he's going to

1:15:56

have the smartest AI, you know, and

1:15:58

rapidly accelerating, but Elon will have

1:16:01

the space-based data centers and the

1:16:03

manufacturing capability to turn that

1:16:05

into a closed loop, you know, self

1:16:07

self-manufacturing closed loop, which

1:16:09

Daario hasn't even started on. You know,

1:16:11

there's no there's no physical stuff

1:16:12

going on at Anthropic at all yet. Uh,

1:16:15

and you know, you know, where the rubber

1:16:16

really hits the road is the AI that

1:16:18

designs chips. So here's Elon building

1:16:21

the Terraab, but the chip design itself

1:16:24

comes from the smartest AI, which is,

1:16:26

you know, probably going to be Daario.

1:16:28

May maybe, you know, OpenAI has a

1:16:29

chance, too. But that that duopoly

1:16:32

becomes incredibly powerful if they

1:16:35

stick together. But do you think they'll

1:16:37

still be friends five years?

1:16:38

>> Yeah, these guys, I mean, all of the

1:16:40

players here have formed partnerships

1:16:42

and broken partnerships and reshuffled

1:16:45

the deck, you know, probably multiple

1:16:47

times over the last few years. So what's

1:16:48

your question? Is is the partnership

1:16:50

going to stick together?

1:16:51

>> Well, five years from today, are Daario

1:16:54

and Elon um friends?

1:16:56

>> Yeah. Like like shaking hands and

1:16:58

>> No, I haven't seen honestly I love I

1:17:01

love Elon, but I haven't seen him

1:17:03

partner uh for the long term ever. Uh

1:17:08

every every partnership comes together,

1:17:11

he takes the lead and runs with it. I'll

1:17:15

register a prediction which is I I think

1:17:16

there are going to be such crazy things

1:17:18

happening in the next few years that we

1:17:20

we'll look back and laugh at ourselves

1:17:22

for even asking the question of whether

1:17:24

Elon will be shaking hands with

1:17:25

>> Dar answer to the question

1:17:28

>> interesting

1:17:29

>> questioning the question itself

1:17:32

thoughts

1:17:35

>> uh I totally agree with you Peter I

1:17:37

think this is like uh just I'm I'm just

1:17:40

boggled by the level of of somebody

1:17:43

thinking Looking at civilization scale

1:17:45

on a non-stop basis, and I love it.

1:17:47

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>> All right. Uh, amazing. All right, let's

1:18:53

move to our next story here. Let's put

1:18:55

some financial figures on this. Um

1:18:58

SpaceX valuation is uh right now in poly

1:19:02

market expected to hit 2.13 trillion at

1:19:05

the close of the first day of market. Uh

1:19:08

and here's the news. Morgan Stanley

1:19:10

projects SpaceX revenue could grow from

1:19:12

get this 18.7 billion in 2025. That's

1:19:16

the last number we have on the books to

1:19:18

3.4 trillion by 2040. Uh at those

1:19:22

revenues at 3.4 4 trillion by 2040. That

1:19:25

puts SpaceX's value at some place

1:19:28

between 50 trillion to 100 trillion.

1:19:30

Right? We're seeing the birth

1:19:32

potentially the first hundred trillion

1:19:33

dollar company. Uh and and these charts

1:19:37

down below tell the story, right? So

1:19:39

here's the revenue numbers today. You

1:19:41

know, uh Starlink is 11 billion of

1:19:44

revenue. Launch revenue is a measly 4

1:19:47

billion. Uh AI revenue from XAI at 3.2

1:19:52

billion. And here comes Google at 11

1:19:54

billion and then SpaceX uh you know

1:19:58

total of $18 billion. So uh crazy

1:20:02

numbers. Any thoughts on this? I mean I

1:20:05

don't think people again no no company

1:20:07

in history has ever hit a trillion

1:20:09

dollars of revenue. So just to put this

1:20:12

in context, you're talking about the

1:20:13

really really big guys like Walmart and

1:20:15

Amazon. You know they're getting close

1:20:16

but they're not at a trillion yet. Uh so

1:20:19

this four trillion.

1:20:21

>> Yeah. On the on the other hand, a

1:20:22

trillion is what, like 3% of US GDP. So,

1:20:26

and that's today's GDP. If if we undergo

1:20:29

his predicted uh 3xing year-over-year or

1:20:33

10xing year-over-year of GDP, that still

1:20:35

makes this a relatively small drop in

1:20:37

the bucket. I I think it not investment

1:20:39

advice obviously but I I think it is

1:20:41

very much a conceivable scenario and one

1:20:44

in which maybe the Dyson swarm gets

1:20:47

built and most of or a large chunk of

1:20:49

civilization runs on the compute that

1:20:52

the Dyson swarm provides. Yeah, sure. A

1:20:54

few trillion dollars makes total sense.

1:20:56

>> Seem, you want to close us out?

1:20:58

>> I got nothing.

1:21:00

>> Okay. All right. Fair.

1:21:02

>> I I have a question for Brian though,

1:21:04

just on that narrow point. So let's say

1:21:06

we do build the Dyson swarm. Uh let's

1:21:08

say uh most of the compute in our solar

1:21:11

system is no longer earth-based and

1:21:14

presumably most of our economy consists

1:21:16

of AI agents trading. What do you think

1:21:19

will be the role if any of

1:21:21

cryptocurrency in that future?

1:21:25

>> Well, I think Bitcoin will be the new

1:21:27

gold standard and then the payments will

1:21:29

be happening on chain. So um capital

1:21:32

formation will probably happen on chain.

1:21:34

borrowing and lending, you know,

1:21:37

that's that's the financial system that

1:21:39

the AI agents would end up using. So

1:21:41

that's the most likely outcome in my

1:21:43

point of view.

1:21:44

>> So So you think basically uh there's

1:21:47

almost no impact on margin regarding

1:21:49

whether our compute is terrestrial or

1:21:52

orbital on how the crypto rails or or

1:21:55

broader financial rails of our

1:21:57

civilization operate. no latency

1:21:59

considerations, no trust based

1:22:01

considerations, no decentralization

1:22:03

considerations like doesn't make a

1:22:04

difference.

1:22:06

>> Well, I think a lot of those things will

1:22:08

get better on a crypto-based system like

1:22:10

the decentralization characteristics,

1:22:11

this um soundness of money, right? Um if

1:22:15

you're talking about syncing up a

1:22:17

blockchain between multiple planets like

1:22:19

Mars and Earth, there would be some

1:22:21

delay in that. But I don't see any

1:22:22

reason why, you know, if you need to

1:22:24

transfer money between Mars and Earth,

1:22:26

um it couldn't happen on chain and have

1:22:28

a laser link between them or something

1:22:29

like that. And you know, um so they're

1:22:32

not going to be real-time payments

1:22:34

between those planets, but there could

1:22:35

be uh appropriately delayed payments. Uh

1:22:39

they won't need to settle as often. So

1:22:40

>> are these conversations you're having in

1:22:42

your executive committee every day?

1:22:45

>> My my conversations are sometimes a lot

1:22:47

more mundane about like how do I get

1:22:49

these two people to work together, you

1:22:50

know? But um we still got to solve all

1:22:52

the human problems uh before we start

1:22:54

building interplanetary financial

1:22:56

systems.

1:22:56

>> By the way, I have to point out, you

1:22:58

know, this projection by Morgan Stanley

1:23:00

is definitely a fundraising tool ahead

1:23:03

of the IPO. You know, Morgan Stanley is

1:23:05

one of the banks that's going to profit

1:23:06

from this deal. Uh there's, you know,

1:23:09

I'm reading every day on X that players

1:23:12

are opting out of SpaceX. It's

1:23:13

overvalued. They're valuing it at 700

1:23:15

million, not, you know, 1.7 trillion.

1:23:18

So, we're going to see. I you know I I

1:23:21

fundamentally believe in the long-term

1:23:22

value of SpaceX. Uh I just hope retail

1:23:25

investors don't get hit uh in the in the

1:23:29

process. So while we have Brian uh Brian

1:23:31

Longevity and Biotech, one of my

1:23:33

favorite stories. So first off,

1:23:35

congratulations on your recent raise at

1:23:38

New Limit, $435

1:23:41

million to push us towards uh age

1:23:44

reversal. if you don't mind, uh, tell

1:23:46

us, you know, origin story of New Limit

1:23:49

and, uh, why you and Blake started it

1:23:51

and what are you guys doing there?

1:23:54

>> Yeah. Well, actually, Jacob Kimmel and

1:23:55

Blake and I all started it together as

1:23:57

co-founders and Jacob's the CEO now, so

1:23:59

he's really he's brilliant.

1:24:02

>> He is. Um, yeah. Yeah. So, the origin

1:24:05

story goes actually back to the IPO of

1:24:06

Coinbase, believe it or not, and 2021.

1:24:09

Having gotten some liquidity from

1:24:11

Coinbase and thinking about the next 10

1:24:13

years and what were going to be the big

1:24:15

technology trends that could drive

1:24:16

civilizational progress, I kind of felt

1:24:18

like a lot of the big ones had good

1:24:20

teams working on it, right? AI and

1:24:22

fusion energy and brain machine

1:24:23

interfaces and all the rest space. Um,

1:24:26

one I one that I didn't see great teams

1:24:28

working on as much and that maybe seemed

1:24:30

underfunded was longevity. And so I I

1:24:33

reached out to a few folks, started

1:24:34

hosting some dinners um with just top

1:24:37

scientists and biotech CEOs and kind of

1:24:38

went around the table and said, "All

1:24:39

right, what's on the horizon that's most

1:24:41

exciting to you, but it's underfunded?"

1:24:43

And one of the folks mentioned

1:24:45

epigenetic reprogramming, which is this

1:24:48

area that talks about how you can

1:24:50

reprogram cells. Um Shina Yamanaka

1:24:53

famously won the Nobel Prize for this in

1:24:55

2012, showing you could reprogram an old

1:24:57

skin cell into a young uh embryionic

1:25:00

stem cell. And he by doing so with just

1:25:02

these four proteins added to the cell he

1:25:04

had this kind of remarkable discovery

1:25:06

that he changed both the age of the cell

1:25:07

and the type of the cell. So at new

1:25:09

limit we're trying to do half of what

1:25:11

Shiny Yamanaka did. We don't want to

1:25:13

change the type of the cell we just want

1:25:14

to change the age. And what we mean by

1:25:16

that is really just restoring the

1:25:18

function that the cell had when it was

1:25:19

younger. And um we built a uh high

1:25:23

throughput screening system. It starts

1:25:25

with AI to talk explore the you know 10

1:25:29

quadrillion different possibilities and

1:25:31

combinations of different proteins you

1:25:33

could use to reprogram a cell and it

1:25:35

starts to it it originally it ingested

1:25:37

all the existing literature. Now it's

1:25:39

been ingesting the the wet lab data

1:25:40

that's been coming out of New Limit

1:25:42

which we have the largest data set out

1:25:44

there by far. And so it recommends the

1:25:46

next set of experiments that we run in

1:25:48

our wet lab. We do these poolled screens

1:25:49

and see if phenotypically we can we can

1:25:52

make cells look younger. Then we take

1:25:54

the best hits out of that in the funnel

1:25:55

and we put them through functional

1:25:57

assays which are a little slower and

1:25:58

more expensive to see if they actually

1:26:00

act younger. Um, for instance, we might

1:26:03

take a reprogrammed liver cell and see

1:26:05

if it can process caffeine and

1:26:07

acetaminophen and alcohol or whatever

1:26:09

kind of like a young a young liver cell.

1:26:11

And then the the best functional assay

1:26:14

candidates we then are starting to run

1:26:15

through um non-human primate and and

1:26:18

human trials. So yeah, the process has

1:26:21

gone faster than I would have expected.

1:26:23

I thought this was going to be like a 5

1:26:24

or 10 year kind of basic research

1:26:26

endeavor, but um we've actually been

1:26:29

able to demonstrate successful

1:26:30

reprogramming of human cells now in our

1:26:32

first drug candidates going into the

1:26:33

clinic next year, hopefully followed by

1:26:34

a bunch more.

1:26:35

>> Amazing. Human trial next year and you

1:26:37

and Blake put in the first 100 million.

1:26:39

I remember that. I remember coming to

1:26:41

your lab and and seeing it. Uh full

1:26:43

disclosure, I'm also a shareholder, an

1:26:46

investor in UI. Very proud of that. So,

1:26:49

congrats on the progress. And uh other

1:26:51

news related in epigenetic reprogramming

1:26:54

uh Life Bioscience is another one of my

1:26:55

portfolio companies announced they've uh

1:26:58

they've dosed their first patient with

1:27:00

their OSK treatment today. So yes, we're

1:27:05

on the verge of uh longevity escape

1:27:07

velocity. Brian, what do you what do you

1:27:10

hold as a target for, you know, when do

1:27:13

we hit LE? Do you have a number in your

1:27:16

head? Do you have a a goal?

1:27:19

You know, man, we need Kurszswall to

1:27:22

come plot another curve for us, don't

1:27:23

we?

1:27:24

>> He's got his prediction. His prediction

1:27:26

is 2033.

1:27:27

>> Huh.

1:27:29

>> So,

1:27:29

>> I'd have to go look at his data on that.

1:27:30

I actually I haven't looked at the exact

1:27:32

year that it would be projected to

1:27:33

happen. I'm just been again trying to

1:27:35

solve more mundane problems like how do

1:27:37

we hire how do we hire the next uh you

1:27:39

know bioinformaticist or whatever. But

1:27:41

um yeah, I hope he's right. I mean, he

1:27:44

has been right on so many things. It

1:27:46

wouldn't surprise me if he's right

1:27:46

again. I have an idiosyncratic position.

1:27:49

Uh perhaps unsurprisingly, I I will go

1:27:52

out on a limb and say that I think LEV

1:27:57

is going to be spiky in the same sense

1:27:59

that AGI is spiky and that on certain

1:28:02

spikes it seems possible it might be

1:28:05

achieved later this year. And the reason

1:28:09

why I say that is and I I wrote about

1:28:11

this in my newsletter and I know Peter

1:28:13

you immediately said, "Oh, but but but

1:28:16

uh Uh in the past few weeks there were

1:28:19

uh there was a really interesting paper

1:28:22

published on the first uh placebo uh

1:28:26

rather double blinded study on HIV

1:28:29

patients receiving GLP1s looking at

1:28:32

epigenetic clocks and and I know all the

1:28:34

caveats. Epigenetic clocks orth style

1:28:38

clocks aren't uh as as good assays at

1:28:41

determining biological age as a variety

1:28:43

of functional measures. I know all of

1:28:45

that.

1:28:45

>> Okay. Nonetheless, with all of those

1:28:47

caveats out the way, out of the way, for

1:28:50

the first time, to my knowledge, in the

1:28:52

literature, I'm starting to see evidence

1:28:54

of some sort of measurable at least

1:28:57

double-digit age reversal as a result of

1:29:00

GLP1s. And that makes me ask whether as

1:29:04

we're we're now with Redat True Tide and

1:29:06

and other uh Chinese have their own I

1:29:10

think second and third generation GLP1s

1:29:13

whether we're going to start to see

1:29:16

hidden under our noses in the same sense

1:29:17

that we flew past the touring test

1:29:20

without remarking that AGI basically

1:29:22

passed the touring test. Did we with a

1:29:24

whimper or not with a bang whether this

1:29:27

year maybe next year but as soon as this

1:29:29

year we're going to in a spiky way in a

1:29:32

subpopul

1:29:34

fly bath fly past lev without broader

1:29:38

notice that it just happened.

1:29:40

>> Well, we're going to have some level of

1:29:42

proof, right? We have this $101 million

1:29:44

healthpan prize going on where we're

1:29:46

measuring functional reversal of age.

1:29:49

Right? Again, the biomarkers right now,

1:29:52

you know, you can test your biomarkers

1:29:54

on a whole clock and many different

1:29:55

clocks. The problem is if you test

1:29:57

yourself in the morning and test

1:29:59

yourself at night, you'll get different

1:30:00

answers. And so, I don't think there's a

1:30:03

reliable biioarker for aging. Brian, I

1:30:05

don't know if you agree with that or

1:30:06

not, but what I care about is less a

1:30:09

number on a page, but more functional.

1:30:12

Do you have the ability to process um

1:30:16

you know liver function that you did

1:30:18

earlier in life? Do you have the

1:30:20

cognition, the immune, the muscle that

1:30:21

you had 20 years younger? So I think

1:30:24

we're at the beginning of that curve and

1:30:25

just like in the singularity we're we're

1:30:28

you know living through it. I think

1:30:30

we're in the process and I agree GLP-1

1:30:32

drugs are probably one of the very first

1:30:34

longevity drugs out there. Brian, any

1:30:36

thoughts or maybe a question to Peter

1:30:38

and Brian on this? You think we're going

1:30:40

to be arguing n years from now? Let's

1:30:42

say it's not this year. Let's say it's

1:30:44

the early 2030s. We're going to be

1:30:46

arguing over whether we've passed LEV or

1:30:49

not. And we're going to bring folks onto

1:30:51

the pod years from now saying, "Oh, no,

1:30:53

it definitely hasn't been hit because my

1:30:55

favorite vanity benchmark hasn't been

1:30:57

passed yet." While others will say, "No,

1:30:59

it was actually passed 5 years ago."

1:31:02

>> Brian, I like your theory. I like your

1:31:04

theory on that, Alex. I I would agree

1:31:06

with the touring test comparison where

1:31:08

we probably will go past it and people

1:31:10

won't nobody will react. Um I I think

1:31:14

that's probably likely. I don't think

1:31:15

it'll happen this year or next year, but

1:31:18

um 2033 could could potentially happen.

1:31:21

I mean, it's like the FDA approval part

1:31:23

is the is the slow part, right? The AI

1:31:25

part is going really fast.

1:31:26

>> I will fly anywhere for the treatment.

1:31:29

>> I want to make a couple of com I want to

1:31:31

make a couple of comments here. Um, you

1:31:33

know, if you look, if we talk about LEV,

1:31:36

we won't know for a long time because

1:31:38

people won't be dying for quite a long

1:31:40

time. We won't really know when it's hit

1:31:42

except for medical certain medical

1:31:43

tests, etc. So, I think this is going to

1:31:45

drag out by definition. My favorite

1:31:48

comment from the life extension world is

1:31:51

that the baby that's going to live to a

1:31:52

thousand years old is already alive and

1:31:54

that just blows your mind.

1:31:55

>> Yeah. And and I agree with you, right?

1:31:57

The the whole basis of the la of our

1:31:59

health span prize was not to be a

1:32:01

longevity prize where you have to wait

1:32:03

30 years to award a winner. It's an age

1:32:06

reversal, right? Do you have the

1:32:08

function that you had earlier? You know,

1:32:10

one of my favorite things right now that

1:32:12

we haven't reported on and I'm working

1:32:15

to get Martin Rothblat on the pod. Um

1:32:17

Martine's the CEO of United

1:32:19

Therapeutics. Uh is work she has been

1:32:22

working on uh restoring your thymus. So

1:32:26

going from your own uh IPSC stem cells,

1:32:29

your induced pleot potent stem cells and

1:32:31

regrowing a thymus and of course you

1:32:33

lose your thymus in your 20s completely

1:32:37

and it's one of the most important

1:32:38

organs for regrowing. Have you been

1:32:39

thinking about uh about thymus uh

1:32:42

capabilities at new limit?

1:32:45

>> It's not one of the ones we've targeted

1:32:47

yet, but uh yeah, I think it's it's on

1:32:50

the list somewhere. Um we're going to

1:32:51

have to get to all the major tissues at

1:32:53

some point. I

1:32:53

>> I was arguing with Jacob. I want muscle

1:32:55

rejuvenation, please. Yeah.

1:32:57

>> Yeah. I mean, that would pair nicely

1:32:59

with the GOP ones, right?

1:33:00

>> For sure.

1:33:01

>> I want to say something I've been

1:33:02

wanting to say for months and months,

1:33:04

and I can only say on this episode,

1:33:07

>> which is, you know, as we talk about

1:33:08

life extension, there's been two things

1:33:10

true in the world for the history of

1:33:12

humanity, death and taxes. And we may,

1:33:16

this will crack death and Bitcoin is

1:33:18

going to crack taxes. So, there you go.

1:33:22

>> I love this tweet. I saw

1:33:23

>> I love it. I love it when a when a

1:33:24

brilliant successful entrepreneur from

1:33:26

outside of biotech gets into biotech

1:33:28

because you get that fresh view kind of

1:33:30

you know what is possible you know

1:33:33

you're not jaded you're not calloused

1:33:34

you're just like what is possible really

1:33:36

curious to know what you buy for 435

1:33:38

million and does it surprise you like

1:33:41

where that money goes

1:33:43

>> yeah well on the on the idea of going

1:33:44

into biotech I mean there's definitely

1:33:48

some Elon inspiration there which is

1:33:49

like we're we're living through a golden

1:33:50

age of software where fortunes are being

1:33:52

made And so I think the these hard tech

1:33:54

problems deserve more capital and you

1:33:58

know it's almost to like SpaceX probably

1:34:00

would not have existed unless some a

1:34:02

wealthy individual like Elon who had had

1:34:04

an exit had at least some of his own

1:34:05

capital to go try and do it. Same thing

1:34:07

with Tesla, right? So venture capital

1:34:10

sometimes doesn't get you all the way

1:34:11

there. It's almost like to do these real

1:34:13

moonshots, you have to like find someone

1:34:15

who made a billion dollars in software

1:34:17

and then and then go found step two go

1:34:19

found the moonshots. But I I hope that

1:34:21

that's not the case forever. I think a

1:34:22

lot of the money that's been made in

1:34:24

crypto and AI will actually go into the

1:34:25

next moonshots and and all of that

1:34:28

stuff. Um but sorry your question was

1:34:30

about um which part again? Sorry.

1:34:32

>> Well, 435 million you know that automate

1:34:36

a bunch of wet lab tests or does that

1:34:37

give you like concurrent many many lines

1:34:40

of research or what does it

1:34:41

>> run a human trial?

1:34:43

>> It's trials a lot of trials. I mean in a

1:34:47

software company most of your costs are

1:34:49

people and then some AWS and stuff like

1:34:51

that. Um in a biotech company typically

1:34:54

it's like it's people and then materials

1:34:56

like re like reagents and things. Um but

1:34:59

in this case now that we're getting

1:35:01

ready to go into the clinic yeah it's

1:35:03

you know your average phase one trial

1:35:05

might be I don't know 10 or 20 million

1:35:06

and you can kind of go up from there on

1:35:08

phase two and phase three. So you need

1:35:09

to get enough shots on goal to get some

1:35:11

of these candidates to come out the

1:35:13

other side and have a big impact. So,

1:35:14

we've got enough capital now to run a

1:35:16

number of trials, which is good.

1:35:18

>> Alex, I love this tweet I saw uh from

1:35:22

Sam Suare starting to mourn all the

1:35:24

people who died before the singularity.

1:35:27

>> Yeah,

1:35:27

>> I'm mourning all the the people who've

1:35:29

died period. And I I think you know when

1:35:32

to Brian's point about all of the grand

1:35:35

challenges that there aren't yet

1:35:37

billionaires solving, I think I'll throw

1:35:39

this out to the the universe, to the

1:35:42

economy. I would love to back or

1:35:44

otherwise support someone building a

1:35:47

company to use advanced compute to

1:35:50

digitally resurrect everyone who's ever

1:35:52

died. I think it's a tragedy that we've

1:35:53

had so many billions of deaths over the

1:35:55

millennia. Let's fix it.

1:35:57

>> I love that. I love that. All right. Our

1:35:59

next story here is a fun one. Our last

1:36:02

three stories in the field. Uh Columbia

1:36:04

University researchers successfully

1:36:06

edited a PCSK9 gene. This is, you know,

1:36:08

your LDL, your bad cholesterol and an

1:36:11

HBG gene for hemoglobin in embryos in

1:36:15

vitro. So, uh, you know, this is opening

1:36:19

up the conversation. I remember when I

1:36:20

was, uh, uh, at the Whitehead Institute

1:36:23

doing my medical degree, uh, and the

1:36:27

first gene editing capabilities of

1:36:30

restriction enzymes came out. a lot of

1:36:33

hand ringing around uh embryo editing,

1:36:36

zygote editing. You know, 2018, a

1:36:39

scientist in China uh Hi Janu uh

1:36:42

successfully edited the CCR5 gene in two

1:36:46

young girls that were brought to term

1:36:48

healthy uh to make HIV resistance. So

1:36:51

the question is, are we going to start,

1:36:53

you know, when this gets reliable

1:36:55

enough, are we going to start editing

1:36:57

our kids? Um, you know, my son Dax just

1:37:00

did a project on this at school and his

1:37:03

point was we give our kids the best

1:37:05

food, the best education, the best

1:37:07

friends, the best clothing. Why not

1:37:09

start with the best jeans? So, I am

1:37:12

curious uh what your thoughts are guys.

1:37:15

>> Yes, of course. Like this is this is

1:37:18

much more advanced than even Gatka. The

1:37:20

whole plot of Gatka was it's it's still

1:37:23

your genes, your parents' genes, just

1:37:25

the best combination with extreme in

1:37:27

vitro selection of embryos. This goes

1:37:30

beyond this to to do base editing of

1:37:33

embryos. And you know, base editing

1:37:36

itself is is looking tremendously

1:37:39

promising, invented by David Louu and a

1:37:41

collaborator at Harvard. Better than

1:37:43

first generation crisper. you're able to

1:37:46

to do uh single nucleotide swaps uh in

1:37:50

in DNA with minimal error rates. This is

1:37:54

tremendous and I I can't for the life of

1:37:56

me understand or otherwise why this

1:38:00

wouldn't become a broadspread practice.

1:38:03

Yeah, obviously uh you know, shadows of

1:38:06

eugenics come to mind, but at the end of

1:38:09

the day, if you're getting rid of

1:38:10

hereditary disease or if you've got

1:38:13

some, you know, if you're a family below

1:38:17

5 foot and you want your kids to be

1:38:18

taller, uh you know, the ethics of this

1:38:22

are going to evolve and morality around

1:38:23

this is going to evolve and societal

1:38:25

norms are going to evolve. Seem, where

1:38:26

do you come out on this?

1:38:28

>> Well, two things. One is this is going

1:38:30

to have a a lot of people freak out. But

1:38:32

let's note that we have an old word for

1:38:33

all this is called breeding. For

1:38:35

thousands of years, we've been crossing

1:38:37

dogs and cats and horses and humans to

1:38:38

select the traits that we want. What's

1:38:41

happening now is biology is becoming a

1:38:43

digital programmable domain. Disease

1:38:45

prevention is the most compelling case

1:38:47

here. But the governance things that

1:38:49

this will bring up are going to be

1:38:50

unbelievable because we're going to be

1:38:52

editing diseases like right before birth

1:38:55

at this point. I said this is incredible

1:38:58

between uh sequencing crisper IBF AI

1:39:00

modeling like anything is now possible

1:39:03

just think of yourself your 50 trillion

1:39:05

cells for every human being in the world

1:39:07

is now a software engineering problem.

1:39:09

How do we think about that?

1:39:11

>> Brian.

1:39:11

>> Yeah. Well, I think one of the one of

1:39:13

the bigger

1:39:14

>> please

1:39:14

>> problems with this particular one of the

1:39:16

bigger complexities is jurisdiction. So

1:39:18

that if you're if you live in a country,

1:39:20

so suppose your parents are in the US

1:39:22

and you go to a a Caribbean island and

1:39:24

that Caribbean island is say, "Yeah, do

1:39:26

whatever you want." Um, so then you've

1:39:28

got a baby, you then you bring that baby

1:39:30

back in the US. That's inevitably going

1:39:32

to happen. So regardless of what your

1:39:34

local laws decide they would like it to

1:39:36

be, it's not going to actually work

1:39:38

locally. So that that's a really big

1:39:41

complexity in this whole this whole

1:39:43

area.

1:39:44

>> Brian, you want to weigh in?

1:39:46

>> Yeah, it's a great point. I mean, I I

1:39:48

think this is going to happen, too. I

1:39:49

think it'll be good for humanity um on

1:39:51

net. I think a lot of people will freak

1:39:53

out about it for a while, but it's I

1:39:54

think there was a Pew Research study I

1:39:57

saw that something like 80% of Americans

1:40:00

would support um embryo editing for

1:40:03

disease prevention. So, that was more

1:40:05

than I expected. I thought 80% is pretty

1:40:07

high, but you know, only about 20% I

1:40:09

think supported it for quote

1:40:11

enhancement. Um the part that I've never

1:40:14

been able to figure out is what's the

1:40:16

line between disease prevention and

1:40:17

enhancement, right? Um not having a

1:40:19

disease sounds like a pretty good

1:40:20

enhancement to me. I mean there's

1:40:22

there's cases where like let's say

1:40:24

osteoporosis, right? So if you have

1:40:26

that, it's a disease. But if you had a

1:40:29

gen a gene edited to prevent it, you

1:40:31

have stronger bones. Stronger bones

1:40:33

sounds like an enhancement. I I

1:40:34

basically think the line is so blurry

1:40:36

that

1:40:36

>> people will start with this for disease

1:40:39

prevention and then it'll uh upgrade

1:40:40

over time. And I think anything's, you

1:40:43

know, on the table, even IQ or whatever.

1:40:44

It's like, should we have more smart

1:40:46

people in the world? Probably. I mean,

1:40:47

that's seems like a good thing to me.

1:40:49

>> And ethics change, right? Because I

1:40:50

mean, if you remember a while ago, IVF

1:40:52

was considered immoral in the early

1:40:54

days.

1:40:55

>> And now it's it's enabled millions of

1:40:58

families to be formed.

1:41:00

>> Well, but not to state the obvious, but

1:41:02

uh you know, if you're 7 foot tall or

1:41:05

higher, you have a 50% chance of making

1:41:07

the NBA. And if you make the NBA, that's

1:41:09

a $20 million a year paycheck. So if

1:41:11

you're a couple, you know, just a

1:41:13

regular everyday couple in the US and

1:41:15

you have the option to have a 7 foot

1:41:16

long tall child by design, you're going

1:41:19

to go to that Caribbean island and make

1:41:21

your seven foot tall for economic

1:41:23

reasons. How, you know, think of what

1:41:25

could go wrong then.

1:41:27

>> So there there's going to be some

1:41:29

serious guardrails. There has to be

1:41:31

guardrails around this.

1:41:32

>> You know, there's a company I love uh

1:41:34

called Nucleus. Uh Ken Sedagi, the CEO,

1:41:38

is going to be at my my abundance

1:41:40

longevity trip in October. Uh Brian, I'm

1:41:43

I'm hoping to have uh someone from

1:41:46

Uliimmit there as well. But what nucleus

1:41:48

does is you fertilize, you know, 20 uh

1:41:52

20 eggs, you know, 20 zygot and then you

1:41:57

sequence them and you can choose the one

1:41:59

out of the 20 that have the attributes

1:42:01

instead of playing dice and wait, you

1:42:04

know, and hoping for the lucky sperm. Uh

1:42:06

you can actually pick the one that has,

1:42:07

you know, the right attributes from

1:42:09

within the gene population that you

1:42:10

have. Separate from base editing, a step

1:42:12

before that, but still something you can

1:42:14

do today. Remember the line from Gatka,

1:42:16

"Your child is still you, simply the

1:42:19

best of you,

1:42:20

>> except that's not even true with base

1:42:22

editing. It's better than the best of

1:42:24

the parents."

1:42:25

>> Well, Brian, listen, thank you for

1:42:26

joining us today. Uh, grateful. I know

1:42:29

you've got, you know, the world's

1:42:30

largest, uh, crypto company in the world

1:42:32

to to run. So, uh, appreciate your time,

1:42:36

my friend.

1:42:37

>> Yeah, thank you for having me. This was

1:42:38

a great conversation. I love talking

1:42:40

with people who want to build a future.

1:42:42

>> Yeah, for sure. And that is most

1:42:44

definitely this this amazing group. All

1:42:46

right. Uh our next story here is

1:42:47

Anthropic launches Fable 5 and Mythos 5.

1:42:50

Uh here we go. Uh Andre Kaparthy uh who

1:42:54

has joined uh our friends at Anthropic

1:42:57

is now shilling for the newest models.

1:43:00

Here's his quote. Super exciting

1:43:01

release. Fable 5 is the same underlying

1:43:04

model as Mythos, but with added

1:43:06

safeguards. You can 10x your test suite,

1:43:09

autooptimize code, run giant research

1:43:12

projects with custom HTML for the

1:43:14

results, anything. Alex, over to you.

1:43:18

>> Very impressive release. Anthropic is

1:43:21

back in the lead now. Uh, until today,

1:43:24

GPT 5.5 was the lead, the

1:43:27

state-of-the-art across most of these

1:43:30

benchmarks. today for probably about 5

1:43:33

minutes. Anthropic takes back the crown

1:43:35

across most measures of super

1:43:38

intelligence. A few notes. The

1:43:40

distinction between Fable 5 versus

1:43:42

Mythos 5. Mythos is a uh as reported a

1:43:46

less inhibited version of Fable. Or

1:43:50

conversely, Fable is a more inhibited

1:43:52

version of mythos that has certain

1:43:55

scaffolding and other restrictions that

1:43:57

prevent it from having more ambitious

1:43:59

conversations that might relate to

1:44:01

biology, chemistry, cyber security,

1:44:04

perhaps other areas. But I've used it.

1:44:06

It's incredible. I gave it my typical

1:44:10

benchmark, which is favorite eval,

1:44:12

asking it to oneshot a cyberpunk

1:44:16

FT first person shooter that's visually

1:44:18

stunning. Did an amazing job, no errors,

1:44:21

ran immediately, had a nice soundtrack

1:44:23

that came with it. What's more

1:44:25

interesting if you look at the

1:44:26

benchmarks and then also the

1:44:28

demonstrations far be it for me to

1:44:30

suggest that Pokemon games are actually

1:44:32

the secret to super intelligence but if

1:44:35

you look at the demos that have been

1:44:37

coming out from anthropic and otherwise

1:44:39

it is able to play just from pure visual

1:44:42

reasoning now this is Fable 5 or mythos

1:44:44

5 doesn't really seem to matter it's

1:44:46

able to based on just watching the

1:44:49

screens of games like various Pokémon

1:44:51

games it's able to win them and that

1:44:54

requires long-term long range reasoning

1:44:57

capabilities that we really haven't seen

1:44:59

until now. So my guess is Anthropic has

1:45:03

probably been very aggressively doing

1:45:05

RLVR reinforcement learning with

1:45:07

verifiable rewards on long range

1:45:10

reasoning challenges. maybe game

1:45:12

playing, maybe challenges that involve

1:45:14

spatial reasoning, maybe very large code

1:45:16

bases, maybe very large capture the flag

1:45:19

CTF hunts, very large sprawling both in

1:45:24

probably, my guess would be in space and

1:45:26

in time RLVR challenges to get some of

1:45:29

these results that it's just incredible

1:45:32

what you can oneshot now with Fable 5 uh

1:45:36

with reasoning set to high. And again,

1:45:39

difficult to predict how long Anthropic

1:45:41

will retain the crown before, say, GPT

1:45:44

5.6 comes out, but it is exciting to see

1:45:47

the Frontier move once again.

1:45:49

>> Dave, you've been playing?

1:45:51

>> Yeah. Well, it's only been out for about

1:45:52

4 hours, but I've been playing for 4

1:45:54

hours, so uh it's I mean, what we're

1:45:57

living through, Alex is constantly

1:45:59

posting on our internal feed. It's

1:46:00

happening. It's happening. I mean, it's

1:46:02

really happening now. This is Oh my god.

1:46:05

You know what's interesting to me? a

1:46:07

bunch of things. First of all, they

1:46:08

doubled the price, so it's expensive as

1:46:10

all hell. Uh this this idea of commodity

1:46:13

intelligence is not happening. It's it's

1:46:15

damn expensive if you want the most

1:46:17

brilliant thing. But what it produces is

1:46:21

so incredibly intelligent that it takes

1:46:24

you quite a while to read and understand

1:46:26

what it did. And it's like, well, I'll

1:46:28

just move on while you're reading and

1:46:30

trying to catch up.

1:46:32

>> And so that's an interesting new thing

1:46:33

for me. Um, and also I think this is

1:46:36

interesting that Anthropic had it in the

1:46:38

bag. You know, Alex just mentioned that,

1:46:41

you know, the leap frog is going on, but

1:46:43

actually OpenAI pushed out their best

1:46:46

and Anthropic then said, "Okay, well, we

1:46:48

had this ready to go." So, you know,

1:46:50

we're just trying to make it safer, but

1:46:52

now we'll come out and go over the top.

1:46:53

>> And we've been saying they're they're

1:46:54

pulling their punches. They're they are

1:46:57

they're they're gaming this.

1:46:58

>> Uh, as you're heading towards your

1:47:01

flight, do you want to add anything

1:47:02

here?

1:47:03

Uh, no. What occurred to me here is

1:47:06

that, you know, when you have you have

1:47:08

the um split now between the safety

1:47:12

guard rails and the performance guard

1:47:15

rails. And I thought that was really

1:47:16

interesting

1:47:19

because you've got the same underlying

1:47:21

model with added safeguards, right?

1:47:23

That's the whole safety debate in one

1:47:24

sentence right there.

1:47:26

>> Well, actually, they even changed the

1:47:27

name, too. You know, you've got the the

1:47:29

Mythos, which we've been talking about

1:47:30

for a while, and then Fable is the

1:47:32

heavily guardrailed, won't do a cyber

1:47:34

threat, won't do a nuclear weapon, you

1:47:37

know, version of the exact same model.

1:47:39

Uh so they even even differentiated it

1:47:41

by name to support exactly what you're

1:47:43

saying. lame

1:47:44

>> with with pretty broad buffers like you

1:47:46

can friends of mine have tried having

1:47:48

conversations perfectly innocent

1:47:50

conversations with fable five high about

1:47:53

biology and from what I've heard it has

1:47:57

pretty broad margins for what it will

1:47:59

simply revert back to opus for if if it

1:48:02

thinks you're asking anything in biology

1:48:05

or chemistry that could remotely be a

1:48:08

dangerous subject it'll just downgrade

1:48:10

you immediately to opus

1:48:11

>> you know funny you say that Alex cuz uh

1:48:13

you know I'm often trying to work from a

1:48:14

plane and SSH doesn't work on the plane

1:48:18

Wi-Fi and and so I, you know, use a

1:48:20

workaround to try and get access to all

1:48:21

my remote agents. And that also vomited

1:48:23

saying looks a little bit like maybe

1:48:25

you're doing something sketchy and it

1:48:28

gave me the uh the anthropic, you know,

1:48:30

we're we're not going to answer that

1:48:32

query thing, you know, repeatedly. So, I

1:48:34

had to actually find a workaround for

1:48:36

that, too. So yeah, they've really

1:48:38

really locked it down to try and avoid

1:48:40

the

1:48:40

>> I predict as we head towards IPO season

1:48:43

for these two companies, these Frontier

1:48:45

Labs, we're going to start to see the

1:48:46

rate of model release increase. They're

1:48:48

going to be leaprogging who's going to

1:48:50

be out front at the day of the IPO.

1:48:52

Who's getting the news?

1:48:53

>> At least at least, Peter, we have

1:48:55

competition. The situation could be

1:48:56

worse. We could just have a singleton, a

1:48:59

single lab that is that is not getting

1:49:00

leaprogged at all. At least we have two

1:49:02

competitors at the moment in the lead.

1:49:04

>> Yeah, for sure. All right, our final

1:49:07

story for today. Uh, after more than a

1:49:09

decade of sucking, Apple finally made

1:49:12

its move to improve Siri. Uh, they've

1:49:15

announced a multi-year partnership with

1:49:16

Google to power Siri with Gemini AI,

1:49:19

rebuilding Siri from the ground up. Uh,

1:49:22

the big shift, Siri is now an agent, not

1:49:25

just a voice interface. The key

1:49:27

breakthrough is personal context. Yes,

1:49:29

finally. Siri can now reason across your

1:49:32

messages, your emails, your notes, your

1:49:34

photos, and actually get things done.

1:49:36

And it can actually, you know, when I'm

1:49:38

sending a text message to Kristen, it

1:49:42

can spell it correctly or it can spell

1:49:44

my name, you know, correctly. It doesn't

1:49:47

most of the time. Uh they're calling it

1:49:49

persistent AI workspace coming to beta

1:49:52

later this year. Uh focused in English.

1:49:54

Uh two huge implications here. First,

1:49:57

Apple is essentially admitting it lost

1:49:59

the Frontier model or the foundation

1:50:00

model race and chose Google to rent

1:50:03

brains rather than build its own. And

1:50:05

and it's a stunning, you know,

1:50:06

concession from the company that has

1:50:09

always priding itself on its own stack.

1:50:12

Second, the real emote was never the

1:50:14

model. It's the personal context. So,

1:50:18

uh, Alex, you wanna you want to share?

1:50:20

>> I'll different perspectives here. So one

1:50:23

the glass half empty perspective is

1:50:26

Apple for arguably the first time in

1:50:29

modern history has has outsourced an a

1:50:32

key element of its tech stack which

1:50:35

Apple it it's just not as with Elon and

1:50:38

vertical integration. It's not in

1:50:40

Apple's cultural DNA to to want to rent

1:50:44

out someone else's technology that's

1:50:46

going to be so core to the system.

1:50:48

That's the glass half empty. second

1:50:50

perspective and that perspective says

1:50:53

the foundation model is not analogous to

1:50:56

say an operating system. It's more

1:50:58

analogous to the role of a search engine

1:51:00

which has to be localized. So you'll

1:51:01

note Apple didn't announce this in China

1:51:04

yet. It didn't announce it in the EU yet

1:51:06

for different reasons. But focusing just

1:51:08

on China, I would expect Apple to strike

1:51:11

some partnership that's roughly

1:51:12

analogous to the partnership with Google

1:51:15

with one of the three big Chinese AI

1:51:18

labs or tech companies. And that will

1:51:21

represent a localization roughly

1:51:23

analogous to the way Apple localizes its

1:51:26

other web search capabilities in China

1:51:29

with one of the Chinese companies

1:51:31

analogously to the way it default uh to

1:51:34

Google for web search. to the glass half

1:51:36

full argument is well foundation models

1:51:40

however foundational they are are

1:51:42

intrinsically localizable and so Apple

1:51:45

has merely chosen for its American

1:51:48

franchise Google and maybe it'll choose

1:51:51

another franchisee for Europe and

1:51:53

another one for China

1:51:57

Google's been doing this with Android

1:51:59

and its suite of products for a while

1:52:01

now right so this is Apple sort of

1:52:03

catching up I mean I've almost you moved

1:52:05

to an Android phone so many times just

1:52:08

because of its ability to, you know,

1:52:10

contextualize all of my my personal

1:52:12

context.

1:52:14

>> A third perspective. Yes. And a third

1:52:17

perspective is if you buy that

1:52:19

foundation model economics are

1:52:21

hyperdelationary and are the cost is

1:52:23

going down by 40x year-over-year or

1:52:26

anything remotely like that, then you

1:52:28

should view this entire bit of Apple

1:52:30

losing its tech sovereignty as a nothing

1:52:33

burger. And yes, Apple maybe is is

1:52:35

struggling to distill Gemini down to its

1:52:39

private cloud compute combined with

1:52:41

iPhones this year, but in a year or two,

1:52:44

there will have been so much

1:52:45

hyperdelation in the cost of compute

1:52:47

that for the present capabilities of new

1:52:50

Siri that they will easily fit into the

1:52:53

new iPhones. and that any loss of

1:52:55

sovereignty or any use, we haven't even

1:52:58

touched on this semi- embarrassingly.

1:53:01

It's not even the case that Apple is

1:53:03

just able to distill Gemini, Google's

1:53:05

Gemini or its version thereof into the

1:53:08

iPhones. And it's not even the case that

1:53:10

they're able to operate it with a

1:53:11

combination of Apple's own cloud

1:53:14

combined with the the iPhone edge

1:53:16

compute. They actually need Google's

1:53:17

cloud to do this because it's so comput

1:53:19

intensive. But all of that over the next

1:53:21

year or two can shrink and hyperdelate

1:53:23

down to to just working on an edge

1:53:25

device as these algorithms get more

1:53:27

advanced.

1:53:28

>> Yeah. Dave, any thoughts on Apple?

1:53:30

>> Yeah, lots. Well, anytime in tech that

1:53:32

you don't do anything for a long period

1:53:34

of time, you eventually get crushed. The

1:53:36

question is how does it emerge? The way

1:53:39

it would play out if Apple doesn't do

1:53:40

something aggressive uh is you lose the

1:53:43

interface. You know, Siri is now Google,

1:53:46

but Google is Android and Android is the

1:53:49

one competitor to the iPhone. Remember,

1:53:51

all the revenue still comes from the

1:53:52

iPhone. So, you lose the interface. At

1:53:55

the same time, TSMC

1:53:58

moves the chip manufacturing away from

1:54:00

the M5 and M3 and M4 to a much higher

1:54:04

paying customer in AI data center use.

1:54:06

So Nvidia or Elon take the manufacturing

1:54:10

capacity away for the underlying chip

1:54:12

because they just pay more to TSMC. So

1:54:15

then you've lost your hardware

1:54:17

manufacturing under the covers and

1:54:19

you've lost the interface on the other

1:54:21

side and then everybody just moves to

1:54:22

Android because they're talking to

1:54:23

Google or Gemini all day long anyway.

1:54:26

And so also the machines get the the

1:54:29

actual physical phones get manufactured

1:54:31

by Samsung using Samsung's uh chip

1:54:33

manufacturing capability which is you

1:54:35

know immune to TSMC.

1:54:37

>> Selma I want to acknowledge your

1:54:38

persistence and your ability to stay in

1:54:41

the conversation.

1:54:42

>> This is a new low. I'm in my airplane

1:54:43

seat. So let's just let it just go past

1:54:47

us.

1:54:47

>> Okay. Closing closing thoughts on Apple

1:54:49

and uh and Siri.

1:54:53

>> Your closing thought that it's good.

1:54:55

I'll believe that it's good when I see

1:54:56

it.

1:54:57

>> Yeah, we've been so disappointed over

1:54:59

and over again. I you know, you and I

1:55:01

met the founders of Siri before they

1:55:02

sold to Apple. Uh and it was it prom it

1:55:06

had such promise back then and it just

1:55:08

uh it stuck around just way too long. Uh

1:55:12

gentlemen, uh I think that's a wrap.

1:55:14

Enjoyed having Brian here going from

1:55:16

Bitcoin to longevity. Um anyway, uh

1:55:20

crazy week ahead. I I'll see you guys in

1:55:22

a few day for our next episode. Uh,

1:55:24

thank you as always for your commitment

1:55:26

to this podcast. Everybody watching,

1:55:29

thank you for your, you know, support of

1:55:31

Moonshots. We're here to give you the

1:55:33

news, help you understand it, help you

1:55:35

be optimistic. Uh, it is the most

1:55:37

extraordinary time ever to be alive. I

1:55:39

like to say, you know, during the

1:55:40

singularity, don't sleep, don't blink.

1:55:43

Uh,

1:55:45

>> the words live long, the words live long

1:55:47

and prosper.

1:55:49

>> Yeah, they do.

1:55:52

Take care, gentlemen. Safe travels

1:55:54

everybody.

1:55:54

>> Peace and long life.

1:55:55

>> Take care folks.

1:55:59

>> If you made it to the end of this

1:56:00

episode, which you obviously did, I

1:56:03

consider you a moonshot mate. Every

1:56:04

week, my moonshot mates and I spend a

1:56:06

lot of energy and time to really deliver

1:56:08

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1:56:20

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1:56:22

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1:56:24

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1:56:26

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1:56:28

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1:56:31

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1:56:33

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1:56:39

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1:56:42

Thank you again for joining us today.

1:56:44

It's a blast for us to put this together

1:56:46

every week.

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