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Anthropic's Generational Run, OpenAI Panics, AI Moats, Meta Loses Major Lawsuits

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Anthropic's Generational Run, OpenAI Panics, AI Moats, Meta Loses Major Lawsuits

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0:00

All right, everybody. Welcome back to

0:02

the number one podcast in the world, the

0:04

Fantastic Four, the original.

0:07

>> Oh, the cast is back.

0:08

>> The cast is back.

0:09

>> Our brothers in arms.

0:10

>> Brothers in arms. Here we go, boys. We

0:14

got a big Newsweek. David Saxs is back

0:17

and he's in the great state of Texas.

0:20

How's it been, Sachs? How's Texas been

0:22

for you so far?

0:23

>> It's been great. Although, I just got

0:25

back from DC. I got like three hours

0:27

sleep last night. So, but we had a lot

0:29

of news this past week.

0:31

>> Yes. And we'll be talking about PCAST

0:33

and your role in the and da and your

0:37

role going forward in the Trump

0:39

administration. Big news that we'll be

0:41

talking about today also relates to you.

0:43

Oh, Sultan of Science David Freeberg

0:45

with your background

0:48

from the iconic film for those not

0:50

watching. Looks like the iconic Thelma

0:52

and Louise. I wonder if that has

0:53

something to do with the budget of

0:55

California, which you've been outspoken

0:57

about recently.

0:58

>> Great rant, which I retweeted.

1:00

>> Mega rant with I retweeted it, too.

1:04

>> If only if only you could be allowed the

1:07

time and space to do those kinds of

1:09

rants on this pod.

1:10

>> Thank you very much. If you kept

1:14

talking, here he is. He's going again.

1:16

He's going again.

1:17

>> There it is. Dr. Doom. Dr. Doom, your

1:20

mayor, your new governor. Are you would

1:22

you consider it freeberg after Ohalo

1:24

running for governor? There is no after

1:26

oh halo.

1:27

>> Oh please do it after.

1:28

>> Oh please do it.

1:30

>> Wow that'd be so great.

1:31

>> I'm tempted to buy a hollow for like

1:33

five or six billion. So he just politics

1:36

California politics is dirty man.

1:37

>> I don't even know what it does. I'll

1:38

just have somebody else deal with the

1:40

oppo research. But the amount of

1:43

>> No no no no. We'd get him elected. He

1:44

would do an incredible job. He would

1:46

save the fourth largest economy in the

1:48

world. It would be incredible.

1:49

>> It'd be amazing. I would love the

1:51

>> Here's the oppo resource act. David

1:53

Freeberg went to a rave in 1999

1:57

and stayed up until 10:00 a.m. We have

2:00

witnesses

2:01

>> once he he got tilted at the poker game,

2:03

stole a bunch of pistachios and lactate

2:05

and ran home.

2:06

>> He did.

2:10

>> Let your winners ride.

2:17

said,

2:17

>> "We open sourced it to the fans and

2:19

they've just gone crazy with it."

2:25

>> Anthropic on a generational run and open

2:29

AI crashing out a bit, boys. Let's chop

2:32

it up here. Just looking at Anthropic

2:36

pretty major heater this year. January,

2:39

they launched co-work for business

2:41

users. You know what that does? Cron

2:42

jobs. You can connect to your Gmail,

2:45

your notion, whatever it is. And then

2:46

opus 4.6 which consensus wise everybody

2:50

thought this is a major step function

2:52

Jensen Michael Dell everybody's called

2:54

it out Jensen actually called it back in

2:57

November an inflection point and the

2:59

first agentic model and uh opus 4.6

3:05

has basically Dell said hit a threshold

3:08

that we haven't seen before in terms of

3:10

real productivity in teams. February,

3:12

they dropped a bunch of claw code

3:14

plugins that caused the SAS apocalypse.

3:17

Not the SAS apocalypse, the SAS software

3:20

as a service.

3:20

>> It was a SAX apocalypse, too.

3:22

>> Yeah, there was a little bit of that

3:23

back and forth as well.

3:25

>> No, I mean, as a SAS investor, it was a

3:27

SAS.

3:28

>> It was a bit of a you you were the tip

3:31

of the spear there. We'll get into it.

3:32

>> My exit comps were affected, that's all.

3:34

>> Yes. It seems like you may have divested

3:38

at exactly the right time. All right. $6

3:41

billion in annual run rate was added in

3:44

February alone. Brad referenced a couple

3:46

of weeks ago here on the pod. Earlier

3:49

this week, they announced computer use.

3:51

A new agentic system for enterprisegrade

3:54

kind of openclaw functionality. Now you

3:57

can use the clawed app from your phone

4:00

to control your desktop computer. Really

4:02

slick feature. Here's the calendar

4:05

release over the past two months for the

4:08

team at Enthropic. Dario, come on the

4:10

pond anytime. Uh Sachs, you've had a

4:14

couple of flare-ups uh and obviously the

4:16

administration uh and the Department of

4:19

War had their kurluffle,

4:21

but just, you know, looking at it

4:24

objectively, what's your take on the the

4:27

surging anthropic

4:29

generational run as I've described it

4:31

here?

4:32

>> Well, I've never been a critic of

4:34

Anthropic's products. I've always been

4:36

an admirer of their products. I think

4:38

last year I gave him credit for MCP. I

4:40

agree that they seem to be performing

4:41

very well now. The company made a big

4:44

bet on coding as the kind of big

4:47

breakout use case. Whether that was done

4:49

for business reasons or ideological

4:51

reasons, I'm not sure. Anthropic is sort

4:53

of the most AGI pill of all the frontier

4:56

labs. And I think they made this bet on

4:58

coding as their way to get to recursive

5:00

self-improvement. As it turns out, it

5:02

was a very good business move as well

5:04

because code is the gateway into

5:07

enterprise and enterprise IT budgets.

5:10

And so they've been able to grow revenue

5:12

pretty quickly as a result of getting

5:14

into enterprise. Also, coding seems to

5:17

be the basis for these other product

5:20

extensions. So like you said, they went

5:22

from cloud code to cloud co-work. The

5:25

idea being that well if you can generate

5:27

code you can also generate powerpoints

5:30

or spreadsheets and you do that by

5:32

generating the code to create that

5:34

output. So that was the first extension.

5:37

Now they are extending into agents. This

5:40

computer use product is kind of like an

5:42

open claw knockoff. So it looks like the

5:46

generational run for Mac Mini is just

5:47

about over. Look, I think they're firing

5:49

on all cylinders. My issues with them in

5:52

the past were related to what I have

5:55

called the regulatory capture strategy.

5:56

They do want a permissioning regime in

5:59

Washington for chips and models, meaning

6:02

you have to go to Washington to get

6:04

permission to release new models or to

6:07

sell GPUs anywhere in the world. I think

6:08

that's excessively heavy-handed. Their

6:11

motives for doing that may be pure. It

6:13

may not be regulatory capture. It may be

6:14

ideologically motivated. Regardless, I

6:16

do think it is a form of regulatory

6:18

capture because it plays into the hands

6:21

of the big companies and creates moes

6:23

that new entrance will not be able to

6:25

overcome. So I have, let's say,

6:29

philosophical objection to that part of

6:30

it. But again, I'm not a detractor of

6:32

their products by any means with respect

6:33

to what happened between them and the

6:34

Pentagon. I'm not involved in that. I've

6:36

stayed out of military procurement in

6:38

general. I don't get involved in what

6:39

are called party matters. I just focus

6:41

on policy matters which affect

6:44

>> the whole space. I saw Emil Michael

6:46

making this point a couple weeks ago on

6:48

our podcast that if you as a company

6:51

don't want your products to be used in

6:53

war, don't sell to the Department of

6:56

War. It's in the name, but if you do,

6:58

you know, if if you do decide to sell to

7:01

the Department of War, you should expect

7:02

it to be used for all lawful uses. So, I

7:07

think that was a very pragmatic

7:08

observation. Again, I just have to

7:10

underscore this again. I'm not involved

7:12

in that dispute. It's the base of a

7:14

lawsuit right now and I don't want

7:16

someone trying to draw lines between

7:18

dots that aren't there. So

7:19

>> yeah, and in fairness,

7:20

>> I'm staying out of that one.

7:21

>> Objectively, they've been treated the

7:23

same as any other large language model.

7:26

Even though they're not fans of the

7:27

administration, they're not donators to

7:28

the administration. They have

7:30

specifically been critical of the

7:32

administration as a company perhaps

7:34

cynically Freeberg as a strategy to get

7:38

uh you know it's one of the conspiracy

7:40

theories here in Silicon Valley is

7:42

Daario is taking the position of being

7:44

anti- this administration anti-president

7:47

Trump in order to get all the PhDs you

7:51

know there's like three or four thousand

7:52

of these highly sought after PhDs and

7:54

it's a way to have them you know vote

7:56

with their presence to come work in

7:58

anthropic your thoughts on that and then

8:00

just generally their general

8:02

>> I think he actually believes it and I

8:03

think they've actually created and

8:05

fostered a culture of that since the

8:06

beginning and I think that they're

8:08

representing it as a branding exercise

8:10

at this point but I don't think it's

8:12

made up I think it's directly

8:15

representation of the people that work

8:16

there and what they believe

8:18

>> yeah and it's a strategic advantage

8:20

because probably of those 3,000 PhDs 90%

8:24

of them are left-leaning uh and wouldn't

8:26

want to work necess necessarily. I mean

8:29

like like most things we see in the

8:33

world today, in economics today, in

8:34

markets today, in business today,

8:36

everything seems to be politicized. And

8:38

you have a left and a right version of

8:39

everything. You have a left and a right

8:41

version of media. You have a left and a

8:42

right version of what food to buy. You

8:44

have a left and a right version of what

8:46

AI tool to use. So, you know, this

8:48

effectively may just be the natural

8:50

manifestation in the AI market of what's

8:52

going on elsewhere in society as we all

8:54

kind of fracture and hustle over to our

8:56

side.

8:57

Uh, Chimath, before I go to Open AI and

8:59

their recent moves, any thoughts on

9:02

Anthropic and Daario's positioning of

9:04

the company?

9:05

>> Look, I think both are incredible

9:07

businesses. We're in the part of the

9:08

cycle where

9:10

we're trying to create drama where I

9:12

don't think drama exists because they're

9:15

still fundamentally in very different

9:17

gotomarket motions. Now they may

9:20

converge and compete over time but I

9:23

think it's important to separate where

9:24

each of them are good from an enterprise

9:26

lens which is where I see most of the

9:28

action particularly through 8090 it's

9:32

all anthropic all the time and I agree

9:34

with Sachs my philosophical issues with

9:36

the management aside around their

9:39

ideology and sometimes how they use some

9:42

of the capital for things other than

9:45

tech and R&D. I have issues with those

9:47

things. But in terms of the quality of

9:50

that technical team and what they

9:51

create, it's head and shoulders above

9:53

anything else. It allows us to build a

9:56

vibrant business. Now, do I have issues

9:59

with how much it costs? Yes. Do I have

10:00

issues with how fast we're consuming

10:02

tokens? Also, yes. But I think those

10:05

will get sorted out. And those are

10:07

really tactical issues. So the reason

10:09

why I think we're all breathlessly

10:12

trying to pit open AI versus anthropic

10:14

is because we want some drama. But the

10:16

reality is these are very different

10:18

businesses. And Nick found this tweet

10:20

which I thought was really interesting.

10:22

And because even at the absolute highest

10:24

level, these things are sort of

10:27

presented in an apples to oranges way.

10:30

And there's like these very basic issues

10:33

of revreck that are fundamentally

10:36

different. And you may say, well, who

10:37

cares about revenue recognition? Well,

10:40

the people that are trying to write the

10:41

headlines that say one is overtaking the

10:43

other and this or that sort of miss the

10:46

fact that they're in completely

10:48

different businesses, which has guided

10:49

how they even think about growth. And

10:51

so, if you normalize these two

10:53

businesses, what you would see is OpenAI

10:55

is still the overwhelming revenue

10:57

generator in this space. And that over

11:00

time, Anthropic is catching up. And so

11:02

this is this little diagram

11:05

that tries to explain this. OpenAI is

11:08

3/4 consumer subscriptions

11:11

and a quarter API. Enthropic is almost

11:14

the exact opposite.

11:16

OpenAI is used by consumers

11:17

overwhelmingly. Antropic is used either

11:20

directly or through things like GitHub

11:22

and cursor.

11:24

OpenAI as a result has a very

11:25

conservative way of recognizing revenue.

11:28

Anthropics, they sort of recognize gross

11:31

tonnage as their revenue. And so when

11:34

you start to hear these things about

11:35

like, oh, this thing is at 20 billion

11:37

and OpenAI is at N billion, they're two

11:40

totally different conversations. And I

11:41

think right now it's more about the

11:43

press cycle of trying to create clicks

11:45

than it actually is about the underlying

11:47

quality of each business. Both are

11:49

incredible businesses, as this

11:52

demonstrates. And by the time it goes

11:54

public, both of these two businesses

11:57

will have a very clean and I suspect

12:00

normalized way of telling a story so

12:02

that you can actually compare. But what

12:04

I would tell people right now is

12:06

everybody is running with numbers to try

12:08

to create a narrative that I don't think

12:10

makes sense or applies to either.

12:12

>> Yeah. And there's been a lot of strategy

12:14

change. Open AI, some people are saying,

12:16

is crashing out in panic mode.

12:19

Obviously, they own the consumer with

12:21

chat GPT. they are the verb like you

12:23

know taking an Uber or googling

12:25

something people consumers always just

12:27

say hey did you check chat GPT but

12:30

obviously other large language models

12:32

are catching up here's

12:35

>> can we say something to that Jason cuz

12:36

like

12:37

>> you mentor tons of startups

12:40

>> sax has done it free has done it I do it

12:44

>> what is the one thing we tell folks

12:45

focus focus focus focus

12:47

>> 100%

12:49

>> do one maybe one and a half things, but

12:52

do it incredibly incredibly well and

12:55

everything else you start to bleed and

12:57

smear. What was that Brad Garlinghouse

12:59

term? Peanut butter. Peanut butter.

13:00

Yeah, you smear the peanut butter

13:03

>> too far out. And so this is a good

13:06

moment, by the way, if either of these

13:07

two companies are in the smearing phase

13:09

to recalibrate and reset because

13:12

>> yeah, you just can't do everything.

13:14

Speaking of smears, I couldn't help but

13:16

notice that Emil Michael was smeared by

13:21

an article. Was it in Lever or something

13:22

like that accusing him of of having a

13:25

conflict in the anthropic dispute?

13:29

>> Did you guys see that?

13:30

>> I didn't. No.

13:31

>> Yes. I saw the art. There was an article

13:33

that said that he was an investor in

13:36

perplexity and therefore he's conflicted

13:39

in his negotiation with Anthropic.

13:42

That's what the article said pretty

13:43

much.

13:43

>> Perplexity is LLM agnostic. That's a

13:46

stupid claim,

13:47

>> right? Well, it's obviously written by

13:48

people who don't understand anything

13:50

about AI really.

13:51

>> Okay.

13:52

>> Perplexity is a rapper. You're like

13:54

you're saying, it uses multiple AI

13:55

models.

13:56

>> And I don't think they sell to the

13:59

Pentagon. They're not a competitor to

14:00

Anthropic. And moreover, as I understand

14:03

it, Emil's ownership of shares in that

14:06

company was blessed by the Office of

14:07

Government Ethics. Nonetheless, I think

14:09

the timing of this is very suspicious.

14:12

And it reminds me of what happened to me

14:14

when I started opposing Anthropic and

14:16

all of a sudden there was that hit piece

14:18

in the New York Times accusing me of

14:19

having conflicts. And I'll just say that

14:22

Anthropic may pose as this company

14:25

that's on the side of the angels, but

14:27

they've hired a number of very seasoned

14:29

brass knuckle political operatives in

14:32

Washington. And you know, members of the

14:34

Biden administration, Laura Loomer,

14:36

actually just had a piece today on one

14:37

of them. I'm not going to rehash that.

14:39

But the bottom line is this is I think

14:42

frankly a political operation that's

14:44

willing to get down and dirty and

14:46

they're not always on the side of the

14:47

angels. I think they can be quite

14:49

ruthless.

14:49

>> Saxs, remember I told you you get one

14:51

Biden mention a month in 2026. So you

14:54

just used it up. So I don't want any

14:55

more Biden Biden Biden. He's retired.

14:58

>> That was not a Biden mention.

15:00

No, but the truth is

15:03

these [ __ ] whoever wrote this

15:04

story, the actual best feature or

15:07

amongst the best features of Perplexity,

15:09

which is actually got a really great

15:11

co-work competitor called Computer I've

15:13

been playing with. I'm not a shareholder

15:14

to be clear. There's no book being

15:17

pumped here. The model council is like

15:19

the greatest feature.

15:21

>> Yeah.

15:21

>> That they have. And what is really

15:23

brilliant about it is you ask it a

15:25

question sachs. It will go to all three

15:28

different major models and you can pick

15:30

which ones including open source. Then

15:32

it tells you where they differ and it

15:34

tries to figure out why they differ.

15:36

This is like one of the great features

15:38

of the product. I think perplexity is

15:40

like could be a a really great company

15:42

as well even without a language model.

15:45

But let's talk a little bit more about

15:46

OpenAI here

15:48

and their market share because I think

15:50

you're correct Chimoth, but they are

15:52

getting off their game. Here's what's

15:54

going on. Quick look at the consumer

15:56

market

15:58

and obviously they started with 100%

16:01

market share, right? They created the

16:02

category in 2023,

16:05

dropped down to 85% market share 2024,

16:08

75% market share 2025.

16:10

>> But by how much has the market grown

16:13

>> precisely? So uh the market is still

16:15

growing. So on terms of number of

16:17

searches and queries, they're obviously

16:19

growing tremendously, but they have

16:21

major major competitors and the market

16:23

share is going down. I had my team over

16:26

at This Week in AI do a more thoughtful

16:29

analysis of where this is going. And if

16:31

you take a look at this, um there's

16:33

three players, and I'd like to get your

16:36

guys' take on this who really haven't

16:37

shown up yet. Apple,

16:40

uh Meta, and obviously Windows. All

16:43

three of those underrepresented. If you

16:45

give them credit for just getting, you

16:48

know, a half point of market share here

16:49

and starting to intercept, which I think

16:51

those three players were here, will be

16:53

here, they're going to be well under 50%

16:55

market share. And I think CHPT is going

16:58

to have some big challenges there on the

16:59

consumer side. While they're doing this

17:01

stuff in consumer, uh they uh are

17:04

cutting back on all their side projects.

17:06

So, uh you probably heard about the Sora

17:08

video app that's been shut down. This is

17:11

kind of major news because Disney was

17:14

going to put a billion dollars into

17:17

opening as part of it and they had done

17:19

a licensing deal and they were going to

17:20

integrate Sora, this you know short

17:23

video product into Disney Plus. All of

17:25

that's now been cancelled.

17:27

>> The billion is not going in.

17:28

>> The billion's not going in. The

17:30

licensing deal, all of that. And then in

17:33

addition, there's supposedly at OpenAI a

17:36

newfound focus on chasing Anthropic down

17:40

the enterprise path. So getting off

17:42

their game, getting a little

17:43

discombobulated perhaps or maybe getting

17:46

focused on what matters, which is

17:48

enterprise apparently in terms of

17:50

revenue. OpenAI also offered private

17:53

equity investors a guaranteed minimum

17:55

return of 17.5%

17:57

of as part of a joint venture that would

18:00

help PE firms deploy AI and ease the

18:04

high upfront cost of that. So, lots of

18:07

questions here. Chimov, I don't know if

18:09

you've tracked this PE uh model, but

18:12

obviously a lot of people are doing

18:14

rollups in services, uh, accounting,

18:17

legal, uh, Josh Kushner's got a big

18:19

effort here, a bunch of private equity

18:21

firms trying to essentially, I guess,

18:24

endrun the transition process and

18:28

arguably what you're doing with the

18:30

software factory at 8090. So, your

18:32

thoughts on Open AI and this pivot and

18:34

this private equity I think it makes a

18:36

lot of sense for Open AI to focus on a

18:38

few things and do them exceptionally

18:40

well.

18:41

>> I disagree slightly with your first

18:43

part, which is I think that people like

18:45

to make new decisions about new

18:47

experiences and I think that OpenAI has

18:51

incredible consumer mind share. I just

18:54

see like how my kids use it. They

18:55

started there and it's very hard to get

18:58

them to switch. Even when I say, "Hey,

18:59

have you tried Gemini?" They use Gemini.

19:01

And to your point, the reason is because

19:03

they stumble into it more.

19:05

>> Yeah. Yeah,

19:05

>> but if you give them a cold navigation

19:07

experience, they rely on chat GPT

19:10

and it's the same by the way on the

19:12

other side in the enterprise. If you

19:13

give us a cold,

19:17

my default reaction would be to use

19:19

anthropic. Now, I actually think that

19:21

that's quite healthy because you're

19:22

going to segregate the market. And I

19:24

think look if you go into the way back

19:25

machine when we first started talking

19:27

about this thing this is sort of how we

19:29

all postulated this would work where

19:31

even if open AI just won the consumer

19:33

business it is a multi- trillion dollar

19:36

company with enormous scale in value and

19:40

I think that that's okay. So I think

19:42

that what they probably need to do is

19:44

say where are we the strongest? Where is

19:47

there the most obvious traction?

19:50

Can traction in another market like an

19:52

enterprise bleed into consumer usage?

19:56

If it's true, then you have to win the

19:58

enterprise. I think winning the

20:00

enterprise though is a very different

20:01

game than winning consumer. Very

20:04

different set of features, very

20:05

different set of expectations. So, I

20:07

think people either have to decide

20:10

you're going to compete everywhere or

20:12

pick one thing and just nail it. And if

20:14

I was open AI and you had to pick one

20:16

thing, you would pick consumer because

20:19

they're the juggernaut and they're the

20:21

clear leader and they have an enormous

20:23

brand. Freeberg, let me pull you into

20:24

this because my base case here is that

20:28

all consumer queries are going to be

20:30

free. Apple's going to make them free.

20:32

They're already free for Google. I think

20:34

Meta is going to make them free and

20:36

actually have a decent product soon. And

20:38

Microsoft, same thing. Chat GBT has

20:40

decided to push off advertising. They

20:43

were going to put advertising in it. You

20:44

remember they got mocked by Anthropic

20:46

with their Super Bowl ads. So, what do

20:48

you think is going to happen on the

20:49

consumer side? Consumers generally don't

20:51

pay for services. That's usually five to

20:53

20% of the market is paid services and

20:56

everything else is free and ad

20:58

supported. But it looks like Apple and

21:00

and Google are going to just let it rip.

21:04

So that could take the revenue oxygen

21:06

away from Chat GPT. So what is your

21:09

thought here on who wins consumer?

21:11

>> I don't think that it's going to be

21:12

free. I think there's 290 million

21:16

subscribers

21:18

for Spotify. They're paying what are

21:20

they paying 20 bucks a month or

21:21

something?

21:22

>> Probably less than average because it's

21:23

global number, but yeah,

21:25

>> Netflix has 325 million paid

21:28

subscribers.

21:29

and AI that can book your travel, answer

21:32

questions for you, track your calendar,

21:34

do your email, etc., etc., etc., etc.,

21:37

is likely going to be the most valuable,

21:39

call it meta service that consumers have

21:41

ever seen.

21:42

>> And I think it's very likely that we're

21:44

going to end up seeing many more

21:45

consumers subscribe to a consumer AI

21:48

service than we've seen even with cable

21:50

television. I mean, think about your

21:51

cell phone. Everyone's paying 50, 60

21:53

bucks a month for a cell phone. Why not

21:55

pay 80 bucks a month? More bucks. you

21:57

pay 100 bucks and by the way in the

21:59

pandemic remember what we saw the two

22:01

things that people refused to cancel

22:04

>> was not your mortgage payment or any car

22:07

payment you were willing to go into aars

22:09

and into default the two things that

22:11

people would would always keep was the

22:13

cell phone number one and then

22:14

electricity number two chat GPT will be

22:16

there

22:17

>> so I think that's going to be the case

22:18

with these consumerized JL I think that

22:20

they're all going to be like ultra

22:21

valuable and they're going to layer in

22:23

services on top of them like for example

22:25

do you want to watch video embedded

22:27

in your consumer app. Do you want your

22:30

consumer AI app, you know, do your

22:32

finances for you? And it could be that

22:34

the consumer AI apps

22:37

much like the iPhone was for the app

22:39

economy. There could almost be whether

22:41

it's through kind of connectors or

22:44

embedded tools, an incredible ecosystem

22:46

that where traditionally advertisers

22:48

actually pay to be embedded and show up

22:50

inside of the AI app and the consumer

22:52

can either pay for it or the advertiser

22:54

can pay for it. So I think there's going

22:56

to be um a very different economic model

22:58

and still very early days. Sachs the

23:01

numbers

23:03

right now would uh be more in my

23:06

estimation about 50 million people

23:08

subscribe to chat GPT. They got a

23:09

billion users or they're they're trended

23:11

to a billion. I think they probably hit

23:12

it in the next month or two. Certainly

23:15

they had 900 million two or three months

23:16

ago. So it's about 5%. Where where do

23:19

you think this winds up? Do you think it

23:20

becomes, you know, 300, 400, 500 million

23:24

consumers are willing to pay 20 bucks a

23:25

month for this or do you think it's more

23:27

free and the data and the ad

23:29

supportedness of it? Go the meta and the

23:32

Google route.

23:33

>> I think it's possible that you could get

23:35

a few hundred million subscribers for

23:37

the premium tier. Look, I think most

23:39

consumers will take the free service in

23:41

exchange for advertising, right? Some

23:43

adup supported model, which by the way,

23:45

I think could be quite successful. when

23:48

chat GBT started displacing Google for

23:51

search, a lot of people were predicting

23:52

the death of of Google's model because

23:55

who'd want to look at 10 blue links. I

23:57

think that's true, but I think you can

23:58

do something much more compelling in AI

24:01

chat compared to just a list of links.

24:04

So, in any event, I think adup supported

24:06

models might make a comeback here in

24:08

addition to premium models. All that

24:11

being said though, you know, as an

24:13

investor, I always liked B2B businesses

24:15

better than B TOC because it is hard to

24:19

monetize consumers. Their willingness to

24:21

pay is not that high and they tend to

24:23

have high churn rates. Whereas

24:25

businesses tend to be very sticky and

24:27

you can upsell them and you can get more

24:30

than 100% net dollar retention

24:32

year-over-year. So, if you can make an

24:34

enterprise business work, it's always

24:36

been a model I've I've liked. But you

24:39

know that being said obviously some of

24:41

the most valuable companies in the world

24:42

are consumer companies. Meta, Google,

24:45

Apple, these are all consumer first

24:47

companies. And look I think ultimately

24:50

both models can work.

24:51

>> Obviously both can work. Question is

24:52

which one? I guess it really comes down

24:55

to how motivated do we think Google and

24:57

Facebook will be to build that bridge

25:00

from their ad networks to their AI

25:03

offerings. Obviously Facebook is kind of

25:06

MIA in all of this but Google is not and

25:09

I think that will be the determinant

25:11

here is

25:11

>> well Google is going to compete very

25:13

vigorously for the consumer because it

25:15

is existential to them I mean it's very

25:17

clear that search and AI chat are kind

25:21

of merging into one space that means

25:23

that ad links will kind of merge into

25:26

being in chat advertising so they have

25:28

to adapt with that and compete for the

25:30

consumer I also think that Google is in

25:33

an outstanding position to do the whole

25:35

claw thing because they already have

25:37

access to your calendar, your documents,

25:39

your email.

25:40

>> So, the agent doesn't really have to

25:42

earn your trust because you already

25:44

trust Google with all of your stuff,

25:46

>> right?

25:46

>> So, I'm kind of waiting for the Google

25:48

version of Open Claw because I don't

25:50

really want to share all my documents

25:52

with some new service.

25:54

>> They're the only one that has so much

25:56

free cash flow that they can almost view

25:58

it as two separate companies, which it

26:00

effectively is. you know, GCP over here

26:02

runs the enterprise play and then Google

26:05

consumer over here runs the consumer

26:08

chatbot play and they can keep them

26:10

segregated. That's so much harder for a

26:13

startup to do because on top of just

26:15

keeping everybody organized, you have

26:17

the financing problem of constantly

26:19

having to raise more money because you

26:21

don't yet have a profit engine that

26:23

spits out cash. They're probably the

26:25

only one. And you can see it in the

26:26

valuations actually which I'm going to

26:27

get to in a second but people believe

26:29

the durability of Google more than they

26:31

believe the durability of anything else.

26:33

>> And uh Sax I think you weren't on the

26:35

pod last week or maybe two or three

26:37

weeks ago but Google has announced

26:39

Google workspace

26:41

studio to do AI automation and it's uh

26:45

yeah it's online and people are playing

26:47

with it already. So they have joined the

26:50

open claw party. By the way, Jay Kcal,

26:53

you asked a different question earlier

26:55

as well, which is around the PE story.

26:57

And I think the PE story is a window

26:58

into the rest of the broader market. The

27:00

real open question is what are these

27:03

companies worth? There's like a very

27:05

threshold question. It's sort of like a

27:08

very important fork in the road right at

27:09

the outset, which is do you believe that

27:11

we're on a path to super intelligence

27:14

where everything is incredible, where

27:16

there's infinite abundance, where you

27:18

can magically describe things and

27:20

beautiful things appear? complex things

27:22

appear, groundbreaking things appear, or

27:25

do you believe that it's good next

27:27

generational software? And the answer to

27:29

that question is really important

27:31

because we're financing things like it's

27:32

the former

27:33

>> and uh GC has a big move in this. Hamont

27:36

was on the program in January when we

27:39

did the interview show and he's got GC

27:41

buying up

27:43

and rolling up accounting firms, etc.,

27:45

healthc care firms, hospitals, etc. This

27:48

seems to be part of the future of

27:50

venture capital is taking AI sacks and

27:54

actually buying out or I should say big

27:56

VC kind of starting to look like private

27:58

equity buying out hospitals accounting

28:01

firms business processing firms in India

28:04

putting them all together and then

28:06

running them with AI. So any any final

28:08

thoughts on that Sax as a business

28:10

strategy? Well, I think it's

28:12

interesting. They're kind of betting on

28:14

the idea that they can own the change

28:18

management around AI. And this is the

28:22

thing is everyone just kind of assumes

28:23

that you throw AI over a wall and a

28:25

business just automatically knows how to

28:27

use it and drive efficiency from it.

28:29

>> And what we're seeing is it's pretty

28:31

difficult. Chimath, you've seen that.

28:33

There's McKenzie studies showing that

28:34

like 95% of enterprise pilots aren't

28:36

successful. There's tremendous value,

28:38

latent value in AI, but it's hard to

28:41

know exactly how to deploy it at this

28:43

point in time. So, I guess what these

28:45

private equity firms are saying is that

28:47

we know how to drive value from this and

28:49

if we own the business and then own the

28:52

change management, then we'll be able

28:53

to, you know, create value that way.

28:56

>> Their business model makes solving this

28:57

problem existential.

29:00

And this is sort of along the lines of

29:02

this essay that I wrote. Let me just

29:03

give you the thought exercise and you

29:04

guys react. Today we live in a world

29:07

where the whole market is trying to

29:09

debate what is the PE ratio that you'd

29:12

be willing to pay. So Facebook is

29:16

incredibly durable. I'm willing to pay

29:17

30 times. Nvidia is really durable. I'm

29:20

willing to pay 40 times. Tesla is

29:22

incredibly asymmetric to the upside. I'm

29:24

willing to pay 200 times. And then

29:27

Caterpillar or John Deere, I'm willing

29:29

to pay 15 times. I'm just using these as

29:31

an example. And what it's effectively

29:35

signaling to you is how durable all of

29:37

these cash flows are. And all we do in

29:39

the public markets when we make an

29:41

investment is we're just guessing when

29:43

do the cash flows run out and we try to

29:46

say, well, here's how much it's worth

29:47

and here's how much I'd be willing to

29:49

pay for today.

29:51

But if you go back to this example and

29:52

you say, well, what if there's this

29:54

super intelligence on the horizon?

29:57

I think it's fair to ask the question,

29:58

what is anything worth?

30:01

And what is anything worth in year 10 or

30:03

year 15 or year 20? Because if you have

30:05

infinite abundance and you have all this

30:07

creativity,

30:09

won't all companies be disrupted? And

30:11

won't we be in this constant churn of

30:14

everything getting disrupted all the

30:16

time? And if you were faced with that

30:19

problem in the public markets, how would

30:21

you react?

30:23

And I think the canary in the coal mine

30:25

are the SAS talks. Yes, we jokingly call

30:28

it the SAS apocalypse, but I think it's

30:30

much more important. I think it's a big

30:31

societal question. How do you view

30:33

capital markets? How do you view the

30:36

health of a company in a world where

30:39

we've been told there's a super

30:40

intelligence on the horizon that makes

30:42

everything much more fragile than it was

30:44

before? And the market reaction is to

30:46

put all these companies on a spectrum

30:48

and they started here in software and

30:50

they're rerating everything down

30:54

and they're changing the way that things

30:57

are being framed from price to equity to

31:00

a multiple of the cash that you have on

31:02

hand. And I think that has huge

31:05

implications mostly to Silicon Valley

31:07

and largely to employees because we all

31:10

sell the dream. we start a company and

31:12

we're like okay small salary big equity

31:15

upside but that's implicitly saying in

31:17

15 or 20 years this thing is going to be

31:18

worth some gigantic number but if

31:21

instead every business gets disrupted

31:23

every 5 or 6 years all you're going to

31:25

end up with is just the cash and so what

31:27

should employees do the rational

31:28

reaction from employees will say you

31:30

know what I don't want your equity give

31:32

me more money

31:34

>> and if all of a sudden you do that the

31:36

valuation multiples and the complexity

31:38

changes again so I had my team put this

31:41

chart together. Okay, what is this? Took

31:42

a handful of SAS companies and took the

31:45

mag six

31:47

and I just said, okay, if you take the

31:50

market cap and you divide it by the

31:52

annual free cash flow, what that tells

31:54

you is how many years does it take to

31:55

get back? If you bought a share of

31:56

stock, how many years does it take from

31:58

the free cash flow to come back so that

32:00

you've earned back the cost of one

32:03

share?

32:04

Snowflake in 2023, it would have taken

32:07

you almost a hundred years.

32:10

And where is it now? It's been cut in

32:12

half. Service Now, it's last year.

32:14

Workday. You see it.

32:16

And I think what this speaks to is the

32:19

beginning of this rerationalization in

32:22

the public markets of saying if super

32:25

intelligence is coming, we have to be

32:28

very careful about what we're willing to

32:29

pay for these things. But if you look on

32:31

the right hand side and the Mag 7,

32:34

what's so interesting is Apple,

32:36

Microsoft, Meta, and Alphabet, the

32:38

market is completely ripped the other

32:40

way. And what they're saying is, we

32:42

believe that these cash flows are

32:45

essentially monopolistically durable

32:47

forever.

32:49

That's the only reason why you would

32:50

walk them up like this. except Nvidia,

32:54

which is the most unbelievably

32:55

accreative, well-run company, highest

32:58

margins, you know, making $200 billion,

33:02

and they're treating it like they're

33:03

treating Service Now and Snowflake. I

33:06

just think it's so interesting what's

33:07

happening. I can't explain this, but

33:09

here, this data sort of shows this reset

33:11

that we're going through, a very

33:13

complicated reset in the capital.

33:14

>> Free, what's your take on this reset as

33:17

Chimath describes it? You'd think this

33:20

is just a flight to the quality of the

33:23

free cash flow of the Mac 6 and just how

33:26

much cash they print and then maybe the

33:28

other ones are smaller footprints and

33:30

they're just more disruptable. We had

33:32

this discussion many years that Google

33:34

and Apple, Microsoft, they would all be

33:37

disrupted at some point, Facebook, and

33:39

that just simply hasn't happened.

33:40

They've gotten much more nimble at

33:41

copying products or incorporating, you

33:44

know, features and products into their

33:45

core offering. So, your thoughts? It's

33:48

probably generally correct that there

33:51

will be a decline, but there's also the

33:53

selective opportunity. Did you guys see

33:55

the LP slides that went on the internet

33:56

from Toma Brava's LP conference?

33:59

>> Yeah, those are great.

34:00

>> Nick, maybe you could find that. They

34:01

kind of highlight that within the broad

34:04

marketscape, there are companies that

34:06

are not just going to sit idly by and

34:09

let AI kind of delete their business

34:12

value, but they're integrating AI

34:14

themselves and they've got highquality

34:16

people to do so and they're reinventing

34:18

their product themselves. So, they've

34:19

already got a beach head, they've

34:21

already got customer access, they've

34:22

already got enterprise users. And in

34:24

fact, if they can integrate AI into

34:26

their products and into their tools,

34:27

there's almost this like selective

34:29

dispersion that happens in the market.

34:31

And so the winners are going to win I

34:33

think truly in every market not just in

34:36

software but across every market

34:38

including in industrial supply chains on

34:40

who is going to implement and utilize AI

34:43

tools and agents uh to do work and it's

34:46

going to expand the work uh productivity

34:48

of that organization not just create new

34:50

features which is what we focus on when

34:52

we talk about software companies but

34:53

really imagine a complex business being

34:56

able to do 10 times the output it can do

34:58

today with the same capital equipment

35:00

and the same labor force. What do you

35:02

pay for in a world of super intelligence

35:05

versus in a world of nons super

35:07

intelligence in terms of the durability

35:09

of a business?

35:10

>> Yeah, it's hard to say, man. I mean, we

35:12

don't know, right? And that's why all

35:13

the discount rates are going through the

35:15

roof and that's why the valuations are

35:17

collapsing because we just don't know

35:18

what multiple or what discount rate you

35:20

apply or what terminal growth rate or

35:22

which which effectively implies.

35:24

>> What do you do in your PA? Like do you

35:26

say I don't think Disneyland is going

35:28

anywhere? You know, I think there's some

35:29

stuff that you could say is the counter

35:31

AI portfolio. And the counter AI

35:32

portfolio, I think, is like physical

35:34

experiences.

35:35

>> Halo. They call it halo. High asset low

35:38

obsolescence.

35:39

>> Okay, that's a great Yeah, I'm not a big

35:41

investor trader like you guys, but that

35:43

makes a lot of sense. I mean, I think

35:44

that's like intuitively to me that seems

35:46

to be an area where people are going to

35:48

be spending a lot of time and they're

35:50

going to they're going to have

35:51

durability in those businesses. I I

35:53

think businesses like Nack Gas

35:55

Production, you know, I just bought LNG

35:57

that Shener company

36:01

>> I bought Shener given um all the

36:03

craziness in the Middle East and you

36:04

know I visited there with Doug Bergam so

36:06

it was the first time I'd ever been

36:07

exposed to this business and I checked

36:08

out a great business. It's a great

36:09

business really well business.

36:10

>> So I think that's got durability

36:12

obviously unless it gets blown up by

36:13

some enemy. Uh that that would be a

36:15

problem. So the Adams thesis that TK

36:18

>> shared Adams real life mining is a great

36:22

one. Obviously I think the space

36:24

industry is going to be a lot bigger

36:25

than we recognize. I actually think

36:27

there's probably a 15 to 30 trillion

36:30

dollar a year economic opportunity on

36:33

the moon. That kind of a business like

36:34

you're going to see with SpaceX's IPO is

36:37

going to have an insane multiple. So I

36:39

think to your point Jimat, there's a lot

36:40

of stuff getting steamrolled here with

36:42

crazy high discount rates where you just

36:43

don't know. And there's a bunch of stuff

36:45

where the pathway over the next 15 to 30

36:47

years is maybe independent or unlocked

36:49

because of AI. And then there's a bunch

36:51

of stuff that's just unaffected that and

36:53

that that starts to get a higher

36:54

multiple because that's where capital

36:56

starts to flow.

36:56

>> Sax there are probably three things that

36:59

we would agree are great modes for

37:01

businesses brands network effects and

37:03

the management team. Those come into

37:06

play here as well. Yeah.

37:07

>> I don't know if I would consider

37:08

management team to be a moat. I mean,

37:10

it's like Warren Buffett says that you

37:12

want businesses that are so strong that

37:13

they could be run by a bunch of monkeys

37:15

because one day they probably will be.

37:18

>> Well, I was thinking more like obviously

37:20

Elon and Tesla is going to just

37:22

relentlessly innovate.

37:23

>> It's a great point by the way and it's

37:25

true especially in the age of agentic

37:27

AI.

37:27

>> Yeah. I mean look I think though that

37:30

just upleveling a bit I think you are

37:32

right that the key question is moes

37:34

because I do think that there are still

37:36

strong moes in a lot of different kinds

37:37

of businesses and a lot of them are very

37:39

subtle like you said some are network

37:41

effects some of them are the the

37:44

difficulty of producing physical world

37:46

products things like that so there's a

37:48

lot of different types of modes out

37:50

there and that is the key question as we

37:52

enter a world of let's call it digital

37:54

abundance

37:56

>> yeah the the network effect of Apple's

37:59

ecosystem and they have hardware, right?

38:01

And they've been just on that path of

38:03

making their own silicon that's

38:05

incredibly defensive and they have

38:06

brand, right? So that that is pretty

38:08

strong for Apple. And then you take

38:09

Tesla, the same thing. You got Elon

38:11

relentlessly innovating and it's hard

38:14

hardware stuff.

38:15

>> And then if you look at Meta and Google,

38:17

these are incredible brands with great

38:19

management teams.

38:19

>> My assumption and constantly innovating.

38:21

>> If I had to bet, I'm gonna bet that

38:23

brands go to zero.

38:25

>> Really?

38:25

>> Yeah. Because I think that when you can

38:28

make things that are as good or better

38:32

and you can make them in a cheaper,

38:34

faster, better way, people want that

38:36

abundance more than they want an

38:38

affiliation to a brand.

38:40

>> Example.

38:40

>> So the perfect example is actually what

38:42

Tesla did to BMW.

38:45

You know what Tesla did to Mercedes,

38:46

what Tesla did to Porsche, what BYD and

38:49

Gily have done to the car manufacturing

38:53

cycle in China. This is a fundamentally

38:56

cheaper, faster, better product. Yes,

38:59

it's got a great brand, but nobody's

39:01

going to pay a premium for these

39:02

products. The reason why Y has outsold

39:05

everything else is because the Model Y

39:06

is priced better and it's superior on

39:09

every operational dimension of

39:11

comparison. That's also true for the

39:14

cars in China. So, I think it's the

39:16

opposite. I think that brands and the

39:19

pricing power of brands other than maybe

39:21

premium luxury goods but even that's

39:24

eroding like look at the stock like I

39:26

don't know Nick show the stock chart of

39:28

LVMH or Ferrari this is not

39:32

a commentary on the quality of the

39:34

actual product but what this shows an

39:36

erosion of pricing power all of these

39:38

things are being eroded away

39:41

>> yeah this would be the value prop most

39:43

people in brands would just say value

39:45

propositioning So JetBlue is a value

39:47

brand, a Tesla Model Y, perfect example

39:50

of a value brand. And if you look at

39:52

Apple's recent cohort, what did they

39:53

focus on? The Apple MacBook

39:56

Neo, which is a value laptop, 600 bucks,

39:59

700 bucks. So they're even going down

40:01

market to try to capture that value. And

40:03

to your point, maybe the right word is

40:05

abundance. Like the brands that bring

40:07

abundance, that bring more to the table

40:10

than their competitors, and they are

40:12

able to bring more at the same unit cost

40:15

or less.

40:16

capture share. That's probably true.

40:19

>> You know what's interesting about that,

40:20

Shama, as we open up the aperture of

40:23

this, if you the one of the thesis we

40:25

talked about here a couple years ago, I

40:26

say, "Hey, what happens with AI

40:29

disruption, job disruption, etc. costs

40:31

coming down on cars with Model Y getting

40:35

cheaper, Cyber Cab coming in, BYD,

40:37

obviously if you go to any foreign

40:39

country, BYDs are everywhere and they

40:40

cost 15 grand. Then you look at Apple

40:43

making the Neo, that's a $600 laptop.

40:46

Everything getting cheaper seems to be

40:48

happening.

40:48

>> I just think it's very hard to know

40:49

which of these companies going to be

40:51

disrupted. A year ago on this pod, we

40:52

were saying that Google was going to be

40:54

toast or some of us were saying it

40:56

because it looked like,

40:57

>> okay, fine. But, you know, it looked to

40:59

us like Chad GBT was taking a massive

41:02

share from Google search and the Adwords

41:05

model was becoming obsolete. Now,

41:08

because of the success of Gemini and the

41:11

potential for personal digital

41:13

assistants, personal agents, I think

41:15

we're probably pretty bullish on that

41:17

company. And look at their stock chart.

41:19

It's reflects that. I mean, I think it's

41:20

doubled in the last year. Now, you take

41:22

something like Apple on the other hand,

41:24

and I'm not saying this is going to

41:25

happen, but I'll just throw out a

41:27

counterfactual, which is what if your

41:29

personal digital assistant or a personal

41:31

agent gets so good that you don't need

41:34

to check your phone, you just tell it

41:35

what to do, and you don't need the wall

41:37

of apps anymore. I mean, the way that

41:39

you call an Uber won't be to punch a few

41:42

buttons. You'll just tell it what to do.

41:44

So, you could imagine the phone

41:45

operating system getting disrupted if

41:48

the agents are good enough. you're on to

41:50

something huge because what you're

41:51

saying is I can confirm this to you

41:54

89 we sell enterprise software I'll tell

41:56

you three conversations with huge

41:57

enterprises asked exactly what you just

41:59

said and we jokingly called it

42:02

strangulation as a service which is they

42:04

all say the same thing what you just

42:05

said okay look get all this complicated

42:08

UI out of the way get all of these

42:10

products out of the way find a way to

42:12

create a shim where I can just write

42:14

what I need tell it what I need it to do

42:16

it deals with all this complexity in the

42:18

background I never want to see these

42:19

things ever again. And that's what

42:22

people want to your point. They want

42:24

they want to be able to like say, "Okay,

42:25

pay this with my Venmo or use my MX in

42:28

this situation or get me that flight in

42:30

some way and have all these wonderfully

42:33

smart agents do all the work behind the

42:35

scenes."

42:35

>> And that's actually tracks with exactly

42:37

what I've seen with Open Claw,

42:39

Perplexity Computer, Clawed Co-work.

42:42

instead of going to your notion, instead

42:43

of going into your Gmail, instead of

42:45

pulling up your calendar, you ask it,

42:47

"Hey, what's on my schedule this week?"

42:48

It brings it to you. So, you could you

42:50

could have a dumb, you know, flat

42:53

terminal, you know, chat interface on

42:56

the $100 device and it would do just as

42:58

good. Just to make the counterargument

43:00

against myself, I mean, yeah, even

43:02

though I think that you'll just

43:04

increasingly tell your agent what to do

43:06

instead of be clicking around or, you

43:08

know, touching the screen, you still

43:10

need a a dashboard or a user interface

43:13

to like check on it and just see

43:15

readouts of information. You still need

43:17

to be able to visualize it. Where is the

43:18

Uber that I've asked to be sent to me?

43:20

How far away is it? Still want to see it

43:22

on a map. So, I could imagine that even

43:24

if let's say, you know, Siri++ becomes

43:27

the dominant way of interacting with

43:29

your iPhone, you'll still want that

43:31

Apple user interface. Hard to say. I

43:34

mean, I see a lot of people out there

43:35

tweeting that Apple is brilliant for

43:39

kind of missing the whole AI wave and

43:40

not spending a lot of money on data

43:42

centers or capex.

43:44

And then there's other people who say,

43:46

well, wait a second, they're they're

43:47

missing critical capabilities.

43:50

Then there's a question of will they be

43:51

able to make deals for you know an AI

43:54

powered Siri? I don't know. I think this

43:56

is very hard to know at this point in

43:57

time.

43:58

>> All right. And we will be discussing all

44:00

these hard topics at liquidity

44:03

May 31st through June 3rd. Chimath some

44:07

big announcements here from you. You

44:09

have taken control. This is what happens

44:12

in the game of thrones known as the

44:14

allin

44:15

>> corporation LLC. the partnership. If we

44:19

partnership,

44:20

>> the chaotic partnership,

44:22

>> no mids there, it literally is chaos.

44:26

>> Wait, wait, wait. Why are we doing this

44:27

in California? I don't even think I can

44:28

I can go back to the state at this point

44:30

in time.

44:30

>> You can come for 48 hours make an

44:32

appearance.

44:35

>> Zero days in state at this point in

44:37

time.

44:37

>> I love it. I love it. You can do 48

44:38

hours. It's okay. Well, Gavin Newsome

44:40

might meet you at the airport. You could

44:42

get up at the airport.

44:43

>> The By the way, the airport is about 10

44:45

minutes from the venue. You could fly in

44:47

and fly out same day and you don't have

44:48

an overnight.

44:49

>> No overnight.

44:50

>> Is that how it's counted?

44:51

>> That's how it's counted as an overnight

44:52

in California.

44:53

>> Head on pillow. Yeah. You can come in on

44:55

Monday,

44:56

>> then fly, fly out to incline, sleep at,

44:59

you know, at our friend's house and then

45:01

fly back in on Tuesday and then fly back

45:02

out. You'll be fine.

45:03

>> Or you could fly to Vegas, do a

45:05

blackjack run overnight blackjack run,

45:07

and then you come back in the morning.

45:09

We just freshen up. Just

45:10

>> get your fresh shirt,

45:11

>> nice and rested.

45:12

>> Let me announce the next two speakers.

45:14

>> Oh my god, I'm so excited. But just for

45:16

background, Chimath comes into this

45:18

thing. Liquidity was this little

45:19

conference I did. It's now part of Allin

45:21

and I start setting up all the speakers.

45:23

And then Chimath goes, "Not good enough.

45:24

I'm not showing up unless I pick all

45:26

speakers." And you know what Freeberg

45:27

and I did? Well, finally this melon

45:30

farmer is going to actually do some

45:31

work. Great.

45:32

>> What did you call me? What did you call

45:34

>> melon farmer? It's a when um they play a

45:36

Quinton Tarantino movie on like TV.

45:41

Instead of saying Mother Effer, Samuel

45:45

Jackson says Melon Farmer.

45:46

>> Oh, I see. So this Melon Farmer took

45:50

unilateral control of the 10 speakers.

45:52

10 speaker slots. Very coveted.

45:54

>> Okay. So we've announced Dan Loe.

45:56

>> We've announced Sarah Frier.

45:58

>> Incredible.

45:58

>> And I'm very very very honored and

46:01

excited to announce that Bill Aman

46:04

and Andre Carpathy will also be speaking

46:07

at liquidity.

46:08

>> Four heavy hitters, six to go.

46:11

>> Two more goats on the roster of goats.

46:13

>> So goatated.

46:14

>> And we have a handful of other

46:17

>> Yeah, there might be some surprise

46:18

guests and unannounced guests show up.

46:20

>> Can't can't say DVD.

46:21

>> TB.

46:22

>> More announced soon, but we're making

46:24

>> Let's get Daario to show up. Daio, come

46:27

to the show. Come hang out with the

46:28

All-In Boys.

46:29

>> I'm really excited. I You know what

46:30

Andre is gonna do? What Andre agreed to

46:32

do is he's going to do like uh five or

46:34

10 minutes of slides on like the future

46:36

of the world with AI and then we'll do a

46:37

fireside.

46:38

>> Love it. That's going to be tremendous.

46:40

And you know, he's uh he's been on a

46:43

heater himself with his recursive uh

46:45

GitHub.

46:46

>> Oh, dude. Auto research is incredible.

46:47

And Bill Aman has a ton of points of

46:50

view on all of this stuff. So, we'll get

46:51

a lot of his thoughts. I want to give a

46:53

shout out to Freebrook because when we

46:54

did the interview with Jensen, he's

46:57

like, "Guys," I was like, I like had a

46:59

glass of wine on a Sunday. I like coded

47:01

a replacement to my HR system. I asked

47:04

all my team to do and I was like, "Oh my

47:06

god, this is incredible." So I asked our

47:08

folks, I'm like, "Hey, I don't like the

47:10

website. This is 8090." And the next day

47:12

they're like, "Yeah, we vibe coded a new

47:14

one. We'll have it up." And then I'm

47:16

like, "Well, do you like the CTAs and

47:18

how it's doing?" They're like, "No, no,

47:19

no. We put it into auto research and we

47:21

doubled the click-through rate. And I

47:23

was like,

47:24

to Freeberg's point, this was this would

47:27

have been many man months, tens of

47:30

people,

47:32

and instead all these recipes, by the

47:34

way, in these playbooks, you know, like

47:36

the person that runs growth at OpenAI

47:38

publishes his recipes.

47:40

>> Yeah. You've been clawed. That's it.

47:42

You've been oneshotted.

47:43

>> It's really incredible. This is why like

47:45

I I mean, you commented on my post

47:47

yesterday. I wake up every day and my

47:48

head spins. I'm like, what is what is

47:50

going on in the world?

47:51

>> It's crazy. Like, every day feels like a

47:54

new era right now.

47:55

>> Yeah.

47:56

>> And

47:56

>> it's it's disoriented

47:58

>> because because I I think what's really

48:00

interesting is you pull what would have

48:02

normally been something that's call it a

48:04

period of time out, like a year out or

48:06

two years out, and you can pull it in

48:07

and say, I can get that done in 3 days,

48:09

and I don't need to hire people. All the

48:11

sequencing and staging that would

48:13

normally go into accomplishing something

48:15

has been reduced, and then the time

48:17

rushes in. So all your ideas rush into

48:19

you and they're all like immediately

48:21

accessible and that's why it's like so

48:23

every day it's like oh my god like

48:25

that is I I have I bought the domain

48:28

name annotated.com like 15 years ago for

48:31

four grand and I wanted to create a

48:33

service like a bookmark service where

48:35

you like highlight a paragraph from the

48:36

New York Times and then you write your

48:38

comments on it saves it and you

48:39

basically have this service and I was

48:41

talking to some developer about making

48:43

it and I literally vibecoded it and the

48:44

Chrome extension this past week and I

48:47

was like, "Okay, I've been sitting on

48:49

this domain and project for like 15

48:52

years and I did it in a weekend."

48:55

>> Isn't it crazy?

48:56

>> Weird. It's like very weird.

48:58

>> This makes it feel like a simulation to

49:00

me that everything can just manifest

49:02

itself. It's the Star Trek version of

49:04

the world. Like remember the replicator

49:06

sacks where you just say Earl Grey tea

49:08

at this temperature? That's happening in

49:10

business now. You're like CRM system,

49:12

buildan annotated.com, build this new

49:14

website for 8090. Boop. and it's a

49:17

replicator just gives it to you. It's

49:19

very strange.

49:20

>> I've only felt this

49:23

feeling twice. Once I was on the outside

49:26

looking in. I was a derivatives trader

49:29

in Toronto. I was looking at the first

49:32

dot

49:33

wave and I was like, I got to be a part

49:35

of this. How do I get to be a part of

49:38

this? And I got a job in at Win Amp and

49:42

kind of the rest was history. Win him

49:45

the original iTunes.

49:46

>> But I missed the wave financially. It

49:48

didn't do anything for me. But I was in

49:50

the right place. You got to the beach

49:53

with a surfboard. That's all that

49:54

matters.

49:55

>> Then the second wave I crushed and the

49:57

move to mobile and social. But this wave

49:59

feels like a hundred times bigger than

50:01

that.

50:02

>> It's a tsunami by comparison. I I I had

50:04

three of these.

50:05

>> It's probably what it's like to be at

50:07

Nazareth in Portugal. You guys ever see

50:09

those clips of like that crazy place

50:11

where like there's like 100 foot waves,

50:12

>> 100 foot waves or whatever and you're

50:14

just towed in and you're like, "Okay,

50:16

let's just

50:16

>> Here we go. This could end one of two

50:18

ways.

50:19

>> Let it go. Glory

50:20

>> or goodbye."

50:22

>> No, I It was like literally when I first

50:23

saw a PC,

50:25

when I first got on the internet, and

50:27

then saw Mosaic. Like those two moments

50:29

in the early 90s and then seeing the

50:31

iPhone. I think that like those three

50:33

moment

50:33

>> was very special.

50:35

>> All right, rough week for Zach. Two

50:37

verdicts went against Meta in two days.

50:41

They were first found liable for

50:43

allowing child predators to access

50:45

minors on Facebook and Instagram. New

50:47

Mexico jury ordered Meta to pay 375

50:50

million in damages. The AG's office

50:52

there ran an undercover investigation.

50:53

They created fake child profiles.

50:55

Facebook, Instagram, these accounts were

50:56

contacted by predators. People showed

50:59

up, yada yada yada. A whistleblower and

51:02

former Meta engineer testified that his

51:04

own 14-year-old daughter received sexual

51:06

solicitations on Instagram. Then on

51:08

Wednesday, an LA jury found Meta and

51:10

YouTube negligent for designing

51:12

addictive platforms that harmed a young

51:15

user's mental health. Basically, the

51:17

plaintiff in this case, Saxs, said they

51:20

started using YouTube at age six and

51:22

Instagram at age nine. and she testified

51:24

that features like notifications,

51:26

algorithms made the app so addictive

51:28

that it caused depression and anxiety

51:31

through that compulsive use.

51:34

You have some thoughts on this and we we

51:36

had um Jonathan hate, right? Didn't we

51:38

do an interview together? Wasn't that

51:39

one of the first joint interviews? Free

51:41

>> you and I did. You and I did. Yeah.

51:43

>> Incredible.

51:44

>> Uh these things are obvious. He he had a

51:47

very important point which is to try and

51:48

keep kids off

51:50

>> cell phones and social media until

51:52

they're 16. and he was kind of

51:53

cheerleading this this verdict. But, you

51:55

know, I'll take a little bit of a

51:58

contrarian to the popular kind of

51:59

sentiment on this and I'll just talk

52:02

broadly about this idea of tort

52:03

litigation. Tort litigation, you know,

52:05

costs our economy $900 billion a year in

52:08

the United States. 900 billion a year.

52:11

That's how much is spent on the

52:12

litigation costs, the settlements, the

52:14

judgments. It's 3% of GDP and it's

52:16

growing roughly 10% per year. And these

52:19

civil penalties decided by juries like

52:22

they're, you know, going against big

52:23

companies like Meta and YouTube, but

52:25

it's also food companies, restaurants,

52:27

everything. Anytime there's a window to

52:29

sue someone and and extract uh value

52:33

from them, tort firms are all over them.

52:35

You know, it's called the tort tax now

52:37

in America. It's not just losses paid by

52:39

the companies because fundamentally when

52:41

a big company pays out these tort taxes,

52:43

they're going to invest less. There's

52:45

less R&D, less product development.

52:46

Costs stay high. there's new fewer new

52:49

product launches and there's all these

52:51

crazy restrictions on stuff. So, you

52:53

know, look, I I agree. Social media

52:55

causes immense harm, particularly causes

52:57

harm for kids. Kids should not be on

53:00

social media until they're 16.

53:02

Absolutely agree. Maybe adults shouldn't

53:04

either be on, you know, as adults. But

53:06

fundamentally, I think there's an

53:08

important question that we often ignore,

53:09

which is who is fundamentally

53:11

responsible for that harm? You know,

53:13

should the sugar beat and sugarcane

53:15

farmers be responsible for diabetes in

53:17

America? Should the soda companies be

53:19

responsible? The retailers selling the

53:20

soda, the FDA for not stopping it all?

53:23

And fundamentally, I think we have to

53:25

ask the question, what role does

53:26

individual choice play and individual

53:29

responsibility play in this equation? If

53:31

everything is a liability, if anything

53:34

any I I think we have to take personal

53:36

responsibility. I think the parents that

53:38

are absent taking care of their children

53:40

are responsible for harm to their kids.

53:42

You shouldn't let your kid play with a

53:44

gun. You shouldn't let your kid go to

53:46

some sketchy neighborhood after hours by

53:48

themselves. You shouldn't let your kid

53:50

play video games 100 hours a week. You

53:53

shouldn't let your kids eat nothing but

53:54

soda and potato chips. You have

53:57

responsibility as a parent. And I think

53:58

parents should keep kids off screens and

54:00

keep kids off social media. Once the

54:02

harms are known of excess use or the

54:04

harms are known of exposure to this sort

54:06

of thing, I think there's responsibility

54:08

that sits with the parents.

54:09

>> What about things like tobacco or

54:11

processed food or

54:12

>> Yeah, this is the key.

54:14

Look, I mean the same the same is true

54:16

of alcohol. I mean dude, like alcohol is

54:17

terrible for you. There's nothing good

54:19

about alcohol. But I think I should have

54:21

a choice on whether or not I want to

54:22

consume alcohol. Whether or not I

54:24

consume tobacco, whether or not I

54:26

consume processed goods and the

54:27

recognition that it's bad for you should

54:29

be publicized by the government should

54:30

be publicized by the government.

54:31

>> Right. So if I had to summarize what you

54:33

would say is product liability law makes

54:36

no sense. There should be human

54:38

liability and human responsibility

54:40

expectations in a society.

54:41

>> We never talk about responsibility. We

54:43

always talk about where the government

54:45

failed us and where these companies us

54:47

and we never talk about what did we

54:49

individually do wrong. How did I

54:51

individually choose to eat a hundred

54:52

[ __ ] sodas a week? How did I

54:54

individually choose to get my kids

54:55

addicted to social media? Where the was

54:57

I as a parent? Like we don't talk about

54:59

our responsibility. And by the way, this

55:02

fundamentally addresses this point about

55:04

human agency which I think is more

55:05

critical in this era than ever because

55:07

AI is going to flood us with everything

55:10

all the time non-stop. What we choose to

55:13

do in a world where we're already

55:14

getting everything and how we choose to

55:16

not take everything that's being offered

55:18

to us, I think is a critical part of

55:19

what's going to distinguish human

55:21

success from human failure. And it's

55:23

going to become more apparent in the

55:24

future. And not everything is about

55:26

liability and not everything is about

55:27

the government failing us. It's about

55:28

people making choices. And we don't talk

55:30

about it.

55:32

>> On the counter, I I I agree. Personal

55:34

choice super important. What you're

55:37

probably leaving out here, uh, which

55:39

you're definitely leaving out here, is

55:41

when these companies know they're doing

55:43

something damaging and they do it

55:45

anyway. That was the key to the RJR

55:49

whiskey. What about what about a a

55:52

whiskey company selling whiskey to an

55:54

alcoholic?

55:55

>> So, what about a potato chip company

55:57

selling potato chips to an obese person?

56:00

>> I'll put those two aside because I don't

56:01

think we've seen major cases about that.

56:03

But I will say the auto industry knew

56:05

for a long time about seat belts. You

56:07

remember that? And they didn't deploy

56:10

them. RJR Nabiscoco, they knew that

56:14

these were addictive and they designed

56:17

the cigarettes to become more addictive

56:18

and they didn't tell people about the

56:21

health risks. Asbestos, same thing. Lead

56:24

paint, same thing. This has happened

56:26

over and over again where corporations

56:29

subvert the release of information to

56:31

make additional profits. So the question

56:32

here with Facebook is did they know how

56:36

addicted these were? Did they know kids

56:38

were being assaulted sexually and and

56:40

they could have done something about it

56:42

or didn't they? And so agree that

56:44

there's

56:45

>> that's absolutely true. The kids being

56:47

assaulted absolutely true. Not not

56:50

releasing information about the level of

56:52

addiction if they had it. That's

56:53

certainly bad. Should the product be

56:55

legal? Number one. And if the product is

56:57

legal, who's responsible for using it?

56:59

>> You know, and and where do we draw the

57:00

line? And if we don't want people to

57:02

make choice, then we shouldn't put it

57:03

out there.

57:04

>> But if you as a corporation know it's

57:06

dangerous and then you lean into that,

57:08

>> if you know, as is the case with

57:11

Facebook, that this is super addicting,

57:13

super damaging to young girls, and then

57:15

you lean into making it more addictive

57:17

and you don't put safeguards in place

57:19

and you can prove that like RJR, like as

57:23

like on whiskey. What's the What

57:25

safeguards does a whiskey company put?

57:27

What safe What safeg guards does a

57:29

casino put?

57:30

>> Hold on. you asked the question age is

57:32

one

57:33

second after age which is what we're

57:36

really talking about with kids and

57:38

Jonathan hate would agree that they

57:39

shouldn't be using this until the 16 so

57:41

I think that's a perfect analogy uh age

57:43

gating and then labeling and then if

57:46

they know of something that's really

57:48

damaging releasing that. So there was a

57:50

whole thing about alcohol in pregnancy

57:52

and they covered up in the alcohol

57:54

industry or didn't disclose exactly how

57:56

damaging it was to drink alcohol on a on

57:59

a fetus on a developing fetus and then

58:01

remember all those signs went up in bars

58:03

in the 70s and 80s that was directly

58:05

because of that. So labeling information

58:09

and agegating would be the logical

58:10

things to do for social media and that's

58:12

what's happened the best. So that that's

58:13

the answer to your question. I don't

58:14

know about age gating, but I think

58:15

informing parents about the risks is

58:17

fine. Like that should be a

58:18

responsibility, but you know that the

58:20

tort lawyers are one of the largest

58:22

donors in political elections in the

58:24

United States. They donate largely to

58:26

Democrats in local elections and

58:27

Republicans in national elections and

58:29

then they are the largest donor class to

58:31

elections of judges. And it's it's a

58:34

business and I think we don't talk

58:35

enough about the business of court law

58:38

um the business of litigation in this

58:40

country and we often ignore this

58:42

question about choice and I don't want

58:43

to live in a world JL where the

58:45

government and companies are telling me

58:46

what to do and what not to do to live my

58:48

life etc.

58:49

>> Exactly. Jump in here personal freedom

58:53

and personal um responsibility versus

58:57

hey corporations maybe knowingly

58:59

>> parental responsibility Jal

59:01

responsibility in there as well. Yeah.

59:02

What do you think's next?

59:04

>> Well, look, there's no question that the

59:05

trial lawyers want to turn Meta into RJR

59:08

and Nabiscoco and the cigarette

59:10

companies and try to fit their fact

59:11

pattern around that. I just think that

59:13

the activity is fundamentally different

59:15

than smoking. I mean, smoking is

59:16

manifestally harmful to you regardless

59:19

of what your age is. And the only reason

59:21

we allow it is because of assumption of

59:23

risk. It's a free country. I think in

59:25

the case of social networking, it's much

59:27

more unclear what the harms are and what

59:30

the benefits are. And I think it's much

59:32

more subjective and it's much more of a

59:34

personal choice for adults and also for

59:37

parents. Freeberg, I mean, one area

59:38

where I disagree with you a little bit

59:39

is you said the harms of this are

59:41

immense and well known and understood.

59:44

If that's the case, then let's just ban

59:46

it for under 13 or under 16 or whatever

59:49

it is. But I don't think that's the

59:51

case. And because it's unclear, I think

59:54

it's up to parents to decide what's

59:56

appropriate for their families. And at

59:58

the end of the day, I think the right

59:59

way to deal with this is parental

60:00

empowerment. You give parents the

60:02

controls to set screen time limits or to

60:05

decide what apps their kids install.

60:08

Now, the debate has now moved over to AI

60:10

apps. And there's a lot of parents

60:12

groups that want to ban kids or

60:15

teenagers from be able to use AI chat

60:18

apps because there was a couple of cases

60:20

of self harm. Now, my reaction to that

60:23

is, look, I've got a 10-year-old and if

60:27

he starts using Chat GBT to get answers

60:29

to questions, I would consider that to

60:31

be a good thing. I mean, I'll keep an

60:32

eye on the usage, but I want him to be

60:34

an AI native. I want him to be able to

60:37

do research, you know, I want him to be

60:39

able to know how to use these tools. I

60:40

want him to get the right skills to be

60:43

successful in the 21st century. In

60:45

China, they're incorporating AI into K

60:46

through2 education. Are we going to ban

60:48

it for our kids and teenagers? I think

60:51

that'd be a terrible mistake. So, I

60:53

think when it comes to AI and AI chat

60:55

apps, it has to be up to the parents

60:57

because there's too much manifest good

61:00

that can come out of kids learning how

61:02

to use these apps. Maybe social

61:04

networking is in a different category.

61:06

But I got to say, I do think that the

61:08

harms have been exaggerated because the

61:10

trial lawyers have an incentive. And

61:12

just to give you some facts about that

61:13

LA case, so just so you understand,

61:17

in this LA case, they were sued by a

61:20

20-year-old woman who claimed that she

61:23

became depressed

61:25

because of using social media, and she

61:28

apparently suffered body image issues

61:31

because of social media, and she was

61:33

able to win this judgment for millions

61:35

of dollars. Look, I think there's big

61:37

causation problems with that case. In in

61:39

the case of that pliff, the evidence

61:41

showed that she came from an abusive

61:43

home. Her father had abandoned her. Her

61:45

own mother had body shamed her. So, it

61:47

was very unclear where her body image

61:49

issues were coming from. I think it's

61:51

possible that social media contributes

61:53

to them. Or it could just be that social

61:55

media was a scapegoat. I also got to say

61:57

that I do think it's it's a dangerous

61:59

precedent. I mean, are we going to allow

62:02

plaintiffs, lawyers to sue Spotify

62:05

because you created a playlist of sad

62:09

music

62:09

>> and that music contributed to your

62:11

emotional distress? I mean, that's kind

62:12

of what we're saying. You got to

62:14

remember these are free services that

62:16

people have a choice whether to use them

62:18

or not. And if social media is making

62:20

you feel bad, if listening to the wrong

62:22

playlist is making you feel bad, then

62:24

stop doing it. But what's going on here,

62:26

I think, is the trial lawyers are trying

62:29

to create the next big tobacco and their

62:31

goal is to try and sue these companies

62:33

into oblivion. And I don't think that's

62:36

the right answer either.

62:37

>> The consensus, Chimoth, is kids who use

62:40

this two or three hours a day. this has

62:42

been across many um survey uh many

62:46

research studies is that it's massively

62:49

correlated with depression and anxiety

62:53

um and eating disorders specifically in

62:55

young girls like if you get to two or

62:58

three hours a day of this. So that

63:00

correlation's I think pretty well

63:02

established. you pretty famously said,

63:04

"Hey," and you worked at Facebook, so

63:06

you saw this coming, but I think at

63:08

Stanford 27 2018 time frame, you

63:11

actually had some comments on this. We

63:13

could either play the clip or you could

63:14

just describe it, I guess.

63:15

>> I said what was obvious to me then. I

63:17

lost a lot of friends at Facebook when I

63:19

said it, unfortunately. But essentially

63:21

what I said was, I don't let my kids use

63:24

it, and I don't think that this is a

63:25

constructive part of a developing

63:28

child's diet.

63:30

I do think that Sax is right that I view

63:32

AI chat differently. There are different

63:35

guard rails that are required so that if

63:37

you go down some sort of you know dark

63:39

corner

63:41

but that's possible to understand and

63:44

the product is architected in a way to

63:47

create culde-sacs. So if that if you're

63:49

thinking about self harm or you're

63:50

thinking about these other things,

63:52

social media is very different. It's an

63:53

incredibly fast twitch algorithm and

63:57

that's the optimization and until the

63:59

incentive for that optimization changes,

64:01

these outcomes will continue to

64:02

compound. I think the interesting thing

64:05

is that the LA lawsuit was an individual

64:08

lawsuit. The young woman I think was

64:12

awarded three or $6 million.

64:14

>> Yeah. The other one though that they

64:16

lost this week was in New Mexico and

64:18

that was for $375 million

64:21

and that was more around I think child

64:23

exploitation.

64:24

>> Yeah.

64:24

>> The thing that I'll note is that these

64:27

trial lawyers which I'm not a fan of

64:29

either have been trying as Sax said and

64:31

as Freebrook said to make these folks a

64:33

target because there's so much money on

64:34

the line and they've been batted back

64:37

pretty successfully. But this was the

64:40

first time where they were able to

64:42

navigate the section 230 protections

64:45

that Facebook and Google have typically

64:48

used to protect themselves because

64:49

Google was a part of the LA lawsuit

64:54

and they were able to go down the

64:55

pathway of product liability language.

64:57

Now to Freeberg's point, I think he's

65:00

generally right. I think it's my

65:02

responsibility as a parent to take care

65:03

of myself and my children.

65:06

But to the extent we don't change these

65:09

product liability laws that are on the

65:11

books, I think the door has been opened

65:13

and a map has been drawn, which is this

65:17

is how you navigate around section 230

65:20

and you can get a decisive lawsuit in

65:23

your favor against these large companies

65:27

with enormous cash flows. And so I

65:31

expect that this will be a death by a

65:34

thousand cuts kind of scenario where

65:37

folks are just going to rally around

65:39

this. I don't think it's right, but I do

65:41

think that that's the rational reaction

65:43

to what just happened. I mean, look, $6

65:45

million to an individual 20-year-old

65:47

girl or $375 million. These are huge

65:51

numbers. And the reality is that I think

65:53

we've opened the floodgates. I do think

65:55

there should be a better response and I

65:57

do think that parents should take a lot

65:59

more responsibility. But I do hope that

66:02

these products allow us a kill switch

66:05

for when our kids are under the ages of

66:07

16. Frankly, I would love a kill switch

66:09

under the age of 18. And there has to be

66:12

simpler ways to age validate. You know,

66:14

we used to work around this thing called

66:15

Kappa compliance. Kappa's [ __ ] It's

66:18

a nothing burger. Like a six-year-old

66:20

can vibe code their way around Kappa. So

66:23

it doesn't do anything then. So age

66:25

verification is completely broken. It's

66:28

harder to get age verified for a porn

66:29

site than it is to get unageverified for

66:31

Facebook.

66:32

>> Say more Chamoth. How did you get around

66:33

it?

66:34

>> Yeah. How do you know that? How do you

66:35

know that?

66:36

>> That's just for uploading. You were

66:38

uploading at the time. This is not your

66:40

only proof of proof of a

66:44

>> we actually deal with this in our new AI

66:47

framework that the administration

66:49

released last week because the number

66:51

one issue is around online child safety

66:55

which I think again is mostly about

66:57

social networking but it touches on AI

66:59

and so it's kind of gotten lumped

67:01

together and I think we're I mean I'm

67:04

referring now to the White House has

67:05

said it's willing to support some form

67:07

of age assurance technology and parental

67:11

controls. So, look, I think there needs

67:13

to be a conversation around how true it

67:15

is that social networking is just a

67:17

fountain of ills for young people. If

67:19

that's true, then why wouldn't you just

67:22

disallow it, right? But if if it's

67:24

unclear, and I think it's more on the

67:26

side of unclear, that's just me.

67:28

>> Uh then it's up to the parents and what

67:30

you want to do is again have the age

67:32

assurance technology and the parental

67:33

controls and let the parents decide. I

67:35

don't think that social media is net

67:39

badly

67:40

speaking, but I will tell you that if my

67:44

child uses it for two or three hours a

67:46

day for multiple days in a row, they

67:48

become [ __ ]

67:49

>> Yes, they act weird.

67:51

>> And so I don't know what to tell you

67:53

except I would love a kill switch until

67:55

these kids turn 18 on all these

67:57

products.

67:58

>> This has to do with dopamine, by the

68:00

way. these. What I do instead is I use

68:02

Apple's Family Sharing, but it's hard.

68:05

And I'll tell you how why it's hard. Our

68:07

schools give our kids Chromebooks and

68:11

say, "Use these Chromebooks because

68:13

that's the way you're going to access

68:15

your LMS, your information, your

68:17

content, your homework." And you know

68:19

what's an integral part of that?

68:20

YouTube. And then now it becomes a back

68:23

door. So even when we take the devices,

68:25

I take my devices, we lock them down.

68:27

You can't bring them to your room. the

68:28

whole thing.

68:30

But if they need to do homework and I

68:32

catch them in a little break, I'm like,

68:35

"What are you doing on YouTube?" They're

68:36

looking at shorts,

68:38

>> of course.

68:38

>> That's what they do.

68:39

>> Yes.

68:40

>> And so it is a whack-a-mole problem for

68:42

parents.

68:44

>> I think uh I'll I'll just give myself

68:46

the final word here on behalf of the

68:48

group. It's obviously addicting.

68:50

It's obviously the industry has not

68:52

policed itself, nor would they police

68:54

themselves because they want to get

68:56

people addicted now. Also, they're

68:57

addicted when they're adults. The rest

68:59

of the world has realized this.

69:01

Australia now has 16 enforced. Malaysia

69:04

16. Other countries are right behind

69:06

them. Spain, Germany, UK. And what

69:09

should happen here in the United States

69:10

is this should be done with the handset

69:13

manufacturers. If Android and Apple

69:17

showed leadership with Facebook and

69:20

said, "We're going to by default when

69:22

you buy a phone, you're going to have to

69:24

age verify, you know, kids under a

69:26

certain age," which you kind of do

69:28

already when you create a family plan

69:29

like it did. We could solve this

69:31

problem. And then parents would opt in

69:34

to giving their kids access to this. No

69:36

good comes out of kids under 16 using

69:39

social media. And Jonathan Hay in our

69:42

interview said you should be putting

69:44

phone lockers in and our school is doing

69:46

that. Other schools are doing it. It is

69:48

the greatest thing ever. Kids complain

69:50

and then they love it.

69:51

>> I I don't think it's that great. I'll

69:52

tell you why. Our school does the phone

69:54

condoms. I don't know what they're

69:55

called, but like you put them in the

69:57

>> the bags and you whatever.

70:00

The real problem is that there's

70:01

enormous social pressure when you're in

70:03

high school to use these products. I'll

70:04

give you a specific example. Our rule is

70:07

you cannot get Instagram or Tik Tok

70:09

until you're 16. I would love it to be

70:12

18, but we all agreed 16 and we're able

70:15

to maintain that rule. But then high

70:17

school comes around and I have two kids

70:19

in high school now. Oh, we need

70:20

Snapchat. No, you don't. No, yes we do.

70:23

No, you don't. Okay, great. We'll have

70:25

no friends. Thanks a lot. We'll just sit

70:26

here in our room dark and there and you

70:28

know, there's an enormous amount of

70:30

social pressure. So, when you talk to

70:31

the other parents, it's like, hey guys,

70:32

can we all agree that we don't need

70:34

Snapchat? You just can't get uniform

70:36

agreement across all parents because

70:38

everybody views this problem

70:39

differently. And so I had to change the

70:42

rule. Now when you get to high school,

70:44

you're allowed Snapchat but not

70:45

Instagram. And you know when you're 16,

70:47

you get Instagram. And that's the best

70:49

we could do and Tik Tok and all that

70:51

stuff. But

70:51

>> yeah,

70:52

>> it's an impossible task for a parent.

70:54

>> I find it indispensable to be able to do

70:56

iMessage with my kids. And also I like

70:59

the location awareness. You can track

71:02

location. You compare iMessage those

71:05

features to Snap. Is it really that

71:07

different? I don't think it's that

71:08

different.

71:09

>> Well, you really you gonna ban Snap.

71:13

>> No, I can't. My point is I had to give

71:14

them Snap. But you're right. I was like,

71:16

"Why can't you use iMessage?" They're

71:17

like, "Dad, don't be a loser."

71:19

>> Yeah.

71:21

>> No, I signed for a Snap account just so

71:22

I could message them where they are,

71:24

where they're messaging. I prefer if

71:25

they were just on iMessage, but anyway,

71:27

that's the reality. So, you're talking

71:30

about banning all these things, but

71:31

again, I think you're on a slippery

71:33

slope.

71:34

>> And I gota I got

71:35

>> No, I'm saying me as a parent banning.

71:37

No, I'm saying me as a parent.

71:38

>> Yeah, you're setting guidelines

71:40

>> in my house. This is the rules. When you

71:41

become a freshman, I'll give you Snap

71:44

and when you're 16, I'll give you

71:45

Instagram and Tik Tok. Otherwise, shut

71:47

the [ __ ] up. Put your head down.

71:49

>> By the way, I also have a tip for

71:50

parents. You know this issue with like

71:53

kids in headphones where they want to be

71:55

listening to stuff all the time and you

71:56

have kids walking around like zombies

71:58

with headphones. I replaced their

71:59

headphones with over the these brand

72:03

called shocks or something. It goes over

72:04

your ear but your ears open so you can

72:07

listen to an audio book or music and

72:09

still be able to talk. And so since we

72:12

did that it's like much less drama

72:14

around the overthe-ear headphone issue.

72:18

>> Well again it sounds like you're

72:20

exercising parental supervision. Does it

72:22

really make sense that later when your

72:26

kid turns 20,

72:29

they could sue these companies for

72:31

>> Well, to your point for emotional

72:33

distress. That doesn't make sense.

72:35

>> You're right. Because to your point,

72:36

that girl said she was using it from the

72:38

age of like six and 10.

72:40

>> Yeah, one product six and the That's

72:42

crazy.

72:43

>> Crazy.

72:44

>> I agree with you, Sax. That's crazy.

72:45

Where were the parents? All right, we

72:48

got time for I think one more topic. Be

72:51

amazing.

72:53

President Donald Trump, the 47th

72:56

president of the United States,

72:57

announced his council of adviserss on

72:59

science and technology. It's called

73:01

Pcast

73:04

Saxs. You have now, am I correct in

73:09

saying moved from the zar of crypto and

73:12

AI to now the leader of PCAS? Is that

73:15

the correct way to frame this? Well, the

73:16

president has appointed me to be a

73:18

member of his council of adviserss on

73:21

science technology and to co-chair it

73:23

along with Michael Katzios who's the

73:24

director of OSTP. I'm still a AI

73:26

adviser, but I do it on behalf of PCAST

73:30

now.

73:31

>> So, you remember last year I was an SGE.

73:33

We got up to 130 days. I use that time

73:36

up and the president appointed me to

73:37

this new role allows me to continue

73:39

being a technology adviser in fact on a

73:41

wider range of issues. So before it was

73:44

AI and crypto. Now it's whatever PCAST

73:47

wants to study or talk about or make

73:49

recommendations. I think in addition to

73:51

AI, other areas that are interesting are

73:54

nuclear power, quantum computing,

73:57

advanced semiconductors, all these

73:58

different areas. And I think we've got

74:00

some biotech. Thank you, Freeberg. And

74:03

we have some incredible people who are

74:04

now on PCAST to kind of run with this.

74:07

>> Yeah, I'm looking at it. Mark Andre,

74:09

Sergey, Michael Dell,

74:12

Larry Ellison, David Freedberg, Jensen,

74:16

uh, Lisa Sue, Mark Zuckerberg, and some

74:20

other folks there that, uh, maybe not

74:23

as, uh, recognizable by the audience.

74:26

How were they selected? Saxs, the only

74:28

criticism I've seen of this is lots of

74:30

business leaders, great, lots of

74:33

technology, great, but maybe a little

74:35

light on the scientists.

74:37

>> Well, I don't know. We have people

74:38

who've won a Nobel Prize for physics on

74:41

there. We're talking about people who

74:43

are experts in like I mentioned quantum

74:45

computing, fusion, nuclear,

74:49

>> biotech, pretty much everything across

74:50

the board. I would say that one

74:52

difference between this PCAST and

74:54

previous ones is you have more doers,

74:56

more builders, people who've actually

74:58

created products or companies. We think

75:01

that's a good thing. Why would it be a

75:03

bad thing?

75:04

I mean, is it a bad thing that Mark

75:06

Andre invented the first internet

75:08

browser or Jensen invented the GPU? If

75:11

you're going to make recommendations

75:13

about advanced semiconductors, don't you

75:14

want to have someone who actually

75:16

invented some of the key products in the

75:17

space?

75:17

>> The big question of course, Sax, is as

75:20

we've seen here with Science Corner is

75:22

how do you plan on staying awake for

75:23

these meetings if it's going to be like

75:25

all science is usually when you take

75:27

your your bio brain?

75:28

>> Well, it's it's science and technology.

75:31

Got it. So you'll be

75:32

>> So I'm going to focus on the tech stuff.

75:34

>> Got it.

75:34

>> And then we got Freeberg to focus on the

75:36

science stuff.

75:36

>> Got it. So Freeberg, this is incredible.

75:38

You've joined President Trump's

75:42

administration. Now

75:43

>> I will say I'm honored to be invited and

75:46

appointed by the president and I

75:47

appreciate Saxs and Michael Katzio. You

75:50

look back at PCAST, it's kind of rooted

75:52

in FDR when he formed this council of

75:55

advisers on science when nuclear physics

75:58

and quantum mechanics was starting to

76:00

kind of reinvent what was possible in

76:02

the world. We're sort of at a similar

76:04

era today because arguably AI is

76:06

reinventing what is possible in the

76:07

world. And I think there's this kind of

76:09

acute moment that we find ourselves in

76:11

in this extraordinary race against

76:12

China. I'll give you a statistic. 10

76:15

years ago, China published 50% of the

76:17

number of scientific research papers in

76:19

peer-reviewed journals as the United

76:21

States. Last year, they published 50%

76:23

more than the United States. This is

76:25

across all disciplines and domains,

76:27

including physics, material science,

76:29

chemistry, biochemistry, broadlife

76:31

sciences. There's this moment that we're

76:33

in right now where both the world is

76:34

being reinvented by AI, but there's this

76:37

extraordinary race with China, not just

76:39

in fundamental research and discovery,

76:41

but in the industrialization of new

76:43

discoveries and new technologies. You

76:45

could feel it in DC this week. I was at

76:47

the Hill and Valley Forum, but literally

76:50

everyone in Silicon Valley, everyone in

76:52

DC is is like absolutely honed and

76:55

focused in on what is going on in China.

76:58

It used to be in biotechnology for

77:00

example that China was kind of a copycat

77:03

and a me too or they were really good

77:05

for example in manufacturing but it is

77:07

now the case that in many subdomains

77:09

China is becoming the scientific leader

77:12

in biotechnology and in life sciences

77:15

and that is a scary thought because

77:17

ultimately China could end up engulfing

77:19

the entire pharmaceutical industry and

77:21

basically becoming the leader in things

77:22

like medicine but most importantly

77:25

foundational things like AI. So I just

77:28

want to defend and speak for a moment

77:29

about the choice about putting what I

77:31

would say are like industrial science

77:33

and technology leaders on this

77:35

commission because this is a moment

77:36

where there's an industrial race, not

77:38

just a discovery race underway. That's

77:40

why this moment is so critical. Anyway,

77:42

I'm very appreciative to to have an

77:44

opportunity to serve and thankful to

77:46

David for his leadership. In related

77:49

news, Chim uh will be joining the

77:51

president's advisory council on bomb

77:54

pots and wagering will be joining that.

77:57

And when I saw this sax, I saw PC and I

78:00

was like, "Oh, is it podcasting? I'm

78:01

in." Finally, I've been invited to the

78:03

President's Council on Podcasting. So,

78:05

big big news coming. I don't want to tip

78:07

anybody's cards.

78:08

>> We'll let you know when that happens.

78:09

>> Yeah, absolutely. when the when the

78:11

president's council on podcasting

78:13

emerges,

78:14

me and Lex Friedman will make our way to

78:17

Washington.

78:18

>> I want I want to thank the president as

78:20

well and it's a great honor to be named

78:22

to co-chair this. It is like Freeberg

78:25

was saying, this is a fairly august body

78:27

that's goes back a long time. I think

78:29

the modern incarnation was created in

78:31

1990 by George Herbert Walker Bush. So,

78:33

this has been around for over 30 years.

78:35

in its current formulation. I think we

78:37

have a slightly different take on it,

78:39

which is we're going to have these these

78:41

builders and doers on there. Like

78:44

Freeberg said, we got some catching up

78:45

to do on our industrial policy. We have

78:48

named 15 people. There's still nine more

78:50

slots. We can have up to 24. So, I think

78:53

it's possible that at some point

78:55

there'll be a second round. And if we're

78:56

missing some expertise, they can be

78:58

filled in. Obviously, that's up to the

78:59

president. He can decide later who else

79:01

might join this.

79:02

>> All right, everybody. That's another

79:03

amazing episode. The number one podcast

79:06

in the world, the Allin podcast.

79:08

Bye-bye. Love you, boys. Byebye.

79:12

>> Let your winners ride.

79:15

>> Rainman David.

79:20

>> We open sourced it to the fans and

79:22

they've just gone crazy with it. Love

79:23

you.

79:32

>> Besties are gone.

79:35

>> That is my dog taking your driveways.

79:40

>> Oh man, myasher will meet.

79:43

>> We should all just get a room and just

79:44

have one big huge orgy cuz they're all

79:46

just useless. It's like this like sexual

79:48

tension that they just need to release

79:49

somehow.

79:52

feet. Wet your feet.

79:55

>> That's going to be good. We need to get

79:57

merch. I'm going

80:06

all in.

Interactive Summary

This episode features a discussion on the rapid advancements and implications of AI, covering topics such as Anthropic's recent successes, OpenAI's market position, the evolving business models in AI, and the potential for AI to disrupt various industries. The conversation also touches upon the legal and ethical considerations of social media's impact on young users, the role of individual responsibility, and the appointment of David Sachs and David Freeberg to President Trump's Council of Advisors on Science and Technology (PCAST). The speakers explore the competitive landscape between major tech players, the future of consumer AI services, and the economic shifts driven by AI integration. A significant portion is dedicated to the debate around regulating AI, particularly concerning its use by minors, and the complexities of parental control and corporate responsibility. Finally, the discussion highlights the strategic importance of industrial science and technology leaders in the current global race, especially concerning China's advancements.

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