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Hurricane fallout, AlphaFold, Google breakup, Trump surge, VC giveback, TikTok survey

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2544 segments

0:00

All right, everybody. Welcome back to

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the number one science, politics,

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technology, and business podcast in the

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world for 5 years running.

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We're about to hit our fourth

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up. And a bunch of lunatic fans are

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getting together. You can join them.

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allin.com/meetups.

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Holy cow, we got the domain name all in.

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Fantastic. Go to allin.com/meetups

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and uh hey, subscribe to our YouTube

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channel. We're going to do some sort of

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crazy event for the million subscriber

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party. We're like 300,000 away,

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gentlemen. This is nuts, huh?

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Can you imagine this thing made it to

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200 episodes?

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have allin.com. How much did we spend on

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this? This is great, guys.

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I negotiated it. I got it. It took me 2

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years.

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And

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I got a sick deal on it. I don't even

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want to say

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because I you know, I don't want to

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change it but about I think I got it.

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Don't say?

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I'll just say you leave it out. I got it

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for

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or so. And that's a million-dollar

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domain, just so we all know. Five

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letters in the dictionary. Oof. So good

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for branding. Good job, J Cal.

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Thank you, my friend.

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Yeah, now we have allin.com/tequila.

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Ooh, I love it.

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Exactly. Exactly. And you can yum yum.

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Yeah. I got you sacks.com, didn't I? You

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have the domain name sacks.com. I

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negotiated that for you. Wow, we have

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all the way back to episode one. This is

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incredible.

1:22

Oh, the new website? Yeah, this is

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great. Oh, can I tell you I if I may?

1:28

allin.com

1:29

allin.com That's our website?

1:31

this thing is real.

1:32

Yeah. It's like a real thing. After 4

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years, we got our together. This

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looks great.

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Here we go. And I want to give a

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shout-out to podcast AI, one of our um

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Remember those fake all in episodes that

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became a startup, podcast AI, and they

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built our website for us. So, shout-out

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to the team over there. All right,

1:47

ladies, let's move on and uh I am, of

1:50

course, your executive producer for life

1:53

and the moderator of the all in a

1:57

And if I may, just a tiny plug, if

1:59

you're a founder, we are having our

2:00

ninth cohort at Founder University. It's

2:03

a 12-week course I teach on starting

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companies.

2:05

And it's sponsored by Stop. Stop. I'm

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just giving a plug for Founder

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University. I need to get a plug in

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because I want to be fun. Go to Erewhon

2:13

and buy Supergut bars, $3.99.

2:16

You can pick them up this afternoon.

2:34

Speaking of that, your people used me in

2:36

an ad, Freeberg. So, don't talk about

2:38

plugs.

2:40

A few weeks ago when I shouted out that

2:41

Glue AI was hiring engineers, we had

2:43

like 100 applications just from that.

2:46

From Glue AI looking for engineers?

2:47

Yeah, a plug on the show, yeah. For Glue

2:49

AI? Yeah.

2:51

Great. That's awesome for Glue AI.

2:52

And if you haven't tried Supergut,

2:54

Freeberg's team literally made an

2:57

advertisement with me talking about

2:59

Supergut and didn't tell me. And we're

3:01

still hiring, so. Okay, well, there you

3:03

have it. So, go to founder.university to

3:05

apply for my 12-week program.

3:07

out Grok.

3:07

I'm running a GoFundMe.

3:09

A GoFundMe

3:09

a new Yeah, go to gofundme/freeberg. For

3:12

what, Freeberg? What's that next to deal

3:13

with your panic attacks?

3:15

All right, let's get started, everybody.

3:17

Enough of the shenanigans. Hurricane

3:19

season is

3:21

upon us as Freeberg had predicted.

3:24

Hurricane Milton made landfall on

3:26

Wednesday evening

3:28

along the west coast of Florida as many

3:30

of you know.

3:32

It's been downgraded. It It started as a

3:34

category five potentially, then a

3:35

category three, and then it looks like

3:37

it's a category one now. So, I guess

3:38

these things are quite random.

3:41

Leading up to Milton though, 6 million

3:43

Floridians across 15 counties were

3:46

ordered to evacuate. That's a lot of

3:48

people moving out.

3:50

And it was a pretty powerful storm. It

3:52

ripped off the roof of the Tropicana

3:54

field in Tampa.

3:56

So far the death toll is at four, but

3:58

it's expected to rise sadly. And uh just

4:01

two weeks ago Hurricane Helene swept

4:03

through six southern states killing over

4:05

220 people tragically.

4:08

Devastating western North Carolina and

4:11

uh entire towns were wiped out.

4:13

Woof. These are also beyond the tragic

4:16

human losses are economically staggering

4:20

in terms of the losses. AccuWeather

4:22

estimating total economic damage could

4:24

be between 145 and 160 billion from

4:27

Helene. And Moody's estimates the

4:29

property damage alone could be as high

4:30

as 26 billion. Tons to get into here.

4:33

FEMA, Starlink, saving the day, tons of

4:36

stuff. But Freiberg uh back on episode

4:38

182 you predicted this would happen.

4:41

What's causing all this? And let's just

4:42

start with the science angle I guess

4:44

before we get into the other

4:45

political and um

4:47

insurance issues.

4:49

Well, I think if you'll remember when we

4:51

talked about this a couple months ago,

4:53

the sea surface temperature was at kind

4:56

of a record high in the Atlantic.

4:58

And warm ocean temperatures

5:01

drive um moist air up that evaporates.

5:05

The warmer the air,

5:07

the faster the evaporation and that

5:08

starts to cause the movement of the air

5:11

which drives ultimately the hurricane.

5:12

And then the hurricane sucks up more

5:15

warm moist air from the ocean and it

5:16

creates a feedback loop. So the more

5:18

energy you have in the ocean,

5:20

the more likely you are to accelerate

5:22

wind forces in storms. And that's why

5:25

you get these massive hurricanes that

5:27

suddenly form seemingly overnight and go

5:30

like in the case of Helene, that

5:32

hurricane went from a cat two to a cat

5:34

four or a cat five in like 48 hours.

5:38

Because of the energy that's stored up.

5:39

And 90% Here's an interesting stat. 90%

5:42

of the energy that we get from the sun

5:44

is absorbed and stored in our oceans.

5:46

The other kind of fact that's playing

5:48

into this, if you pull up that sci- that

5:49

Nature article, and this is something

5:51

that I think you guys may remember we

5:52

talked about. So, this was an article

5:55

that came out uh a paper science paper

5:57

that came out a couple of months ago.

5:59

And in this paper

6:01

the scientists identified that removing

6:03

sulfur dioxide

6:05

from cargo ships that travel across the

6:07

oceans is actually causing accelerated

6:10

warming in the oceans.

6:13

And the reason is that the sulfur

6:14

dioxide forms cloud formations and those

6:18

clo- as they travel across the oceans.

6:19

And those cloud formations reflect

6:21

sunlight. And in the absence of those

6:23

cloud formations, that sunlight makes

6:25

its way into the ocean and you get more

6:28

ocean warming.

6:29

And by their estimation, removing sulfur

6:32

dioxide, which causes acid rain and

6:35

that's the reason it's been pushed to be

6:37

removed, and they started removing it in

6:39

2020 2021,

6:41

from cargo vessels, by removing sulfur

6:43

dioxide,

6:44

we are now going to see a doubling

6:46

of the rate of warming of the oceans in

6:49

the 2020s and going forward. Let me

6:51

pause there for a second just to make

6:53

sure people understand what you're

6:54

saying. Emissions from cargo ships block

6:57

sunlight, which then of course reduces

6:59

the heat absorbed by the oceans, and so

7:02

we're now choosing between pollution

7:05

of the air

7:06

or overheating of the oceans. Am I

7:08

correct in summarizing that?

7:10

That's roughly it. And

7:13

um

7:13

But then what is going to pollute the

7:14

air? Sorry, I just don't understand.

7:17

that goes in Yeah, that goes into the

7:19

fuel of cargo vessels.

7:21

And a couple of years ago they started

7:23

to implement these mandates that sulfur

7:25

dioxide no longer be used in the fuel.

7:27

As a result, when sulfur dioxide is

7:30

emitted from these vessels, it goes into

7:32

the atmosphere

7:33

and it actually triggers cloud

7:35

formation. So, now you have these clouds

7:37

that are forming and Nick's going to

7:38

pull up this image right now. Yeah, here

7:40

you can see that. So, all of these

7:41

tracks

7:43

are these cargo vessels moving across

7:45

the ocean. And as they move across the

7:46

ocean, they create cloud cover. That

7:48

cloud cover actually reduces the warming

7:51

in the ocean because it reflects

7:52

sunlight. So, now that sunlight energy

7:55

gets absorbed into the ocean. So, this

7:57

is another driving force that some

7:58

people are now speculating maybe

8:00

accelerating the warming of the oceans

8:02

that we're seeing, which drives these

8:04

extreme storm and and hurricane events.

8:07

And so, this becomes a more frequent

8:08

event. Now, a lot of people

8:10

I ask you a question? Does that mean

8:11

that we're mean reverting? Meaning if we

8:15

improve the quality of the fuel source

8:17

that are used in shipping,

8:19

doesn't that then mean that we're

8:21

reverting back to what would have

8:23

happened in the absence of these dirty

8:25

fuel sources?

8:27

Yeah, so in addition No, no, no. I'm

8:30

asking I'm asking you the question. Is

8:31

that true or not? Um so yes, we are no

8:36

longer reflecting as much sunlight. And

8:38

so, for several decades

8:39

had bad fuel sources.

8:41

We had artificial cooling. We

8:43

effectively

8:43

artificial cooling and now we take But

8:46

that's counter to the narrative of what

8:47

we all think is happening.

8:50

Oh, well, the argument is that we've

8:51

actually been warming the atmosphere,

8:53

which we have been. We can see the data

8:54

that shows that everywhere all over the

8:56

Earth, not just about sunlight coming in

8:58

on the oceans, and not just ocean

8:59

warming. But the the atmosphere is

9:02

warming, the planet is warming. And so,

9:04

this is by by blocking the sunlight

9:07

above the oceans, we were artificially

9:09

dampening that effect. And we were

9:11

reducing the amount of heat energy that

9:13

was getting into the oceans. So, now by

9:15

taking that away, we're seeing the heat

9:17

energy in the oceans accelerate. And now

9:19

the oceans are getting much, much

9:20

warmer. Right. So, the pollution was

9:22

good?

9:23

Turns out it was good.

9:24

paradox here. Is that it was creating a

9:26

blocker for sunlight. And to your point,

9:29

Chamath, exactly like shouldn't we just

9:31

be going back to what was normal? But at

9:32

the same time, in the same system, we

9:35

had heated things up. So, this is a

9:38

multi-factored system

9:40

that we're dealing with Friedberg and I

9:42

I guess the takeaway from all of this is

9:44

that

9:45

we got to be really careful with what we

9:46

do with the environment, right?

9:47

Well, I mean, let's talk about

9:49

economics, right? So,

9:51

what how much real estate do you guys

9:53

think is on the Florida coastline?

9:55

What's the real estate value?

9:56

Friedberg, can you just anchor this like

9:58

was it that it was supposed to be a

9:59

category five and now it's a category

10:01

three when it hit land? Right. So, what

10:03

happens typically when storms hit land

10:05

is they no longer have that hot ocean

10:07

pumping energy back into the storm that

10:09

keeps the feedback loop going. So, the

10:11

storm cycle starts to break down. All

10:13

hurricanes when they hit land, they

10:15

start to break apart and so the

10:16

category, which measures the wind speed,

10:20

actually reduces. This is just a natural

10:22

thing that happens. But, this was a

10:23

category five hurricane when it made

10:25

landfall, I believe it was category

10:27

four. So,

10:29

you know, it was a massive hurricane

10:31

that

10:31

should not we should not dismiss it

10:33

because my understanding was Helene was

10:35

cat four

10:37

when it

10:38

like hit North Carolina. But, I read

10:41

yesterday that

10:42

yeah, what happened with Helene was it

10:44

was cat

10:45

is cat three when it hit Tampa or

10:47

something. Is that not right?

10:48

Yeah. Yeah, so that's right. But, what

10:49

happened when Helene hit North Carolina,

10:51

it was not a cat four.

10:52

What happened is as that storm moved

10:56

inland,

10:57

it hit the the mountains and the first

10:58

mountains it hit are on western North

11:01

Carolina. That area is elevated. There's

11:03

mountains there. So, when a heavy hot

11:05

storm runs into cold mountains, all the

11:08

moisture dumps out. It's like it runs

11:09

into it and suddenly everything

11:11

precipitates out of that storm. And

11:12

that's why some parts of western North

11:14

Carolina got like 18 some high some

11:17

people measured as high as 30 inches of

11:18

rainfall in a couple of hours. So, this

11:21

insane dumping happens when that hot air

11:23

hits cold hits a cold region and

11:25

suddenly everything all that warm

11:26

moisture precipitates out and dumps to

11:28

the ground. So, it ran into a mountain.

11:30

It's effectively why everything fell out

11:32

of North Carolina. All right, so you're

11:34

saying that it wasn't uh Democrats who

11:35

basically uh

11:37

Right. What do you think

11:39

What do you think Zach? Let me ask you

11:40

this cuz there is there Who did it Zach?

11:42

I don't know. Maybe Nancy Pelosi cast a

11:44

spell or something and uh

11:45

Yes. Well, isn't there a lot of

11:46

geoengineering conspiracy theories uh

11:49

going on in your cohorts? I mean, what's

11:51

your

11:51

think so. But Vinod wants us to be very

11:54

clear that we need to

11:56

We need to stop all of this

11:57

disinformation that somehow Democrats

11:59

are behind that storm.

12:01

Well, there are a lot of

12:02

can assure everyone that it was just

12:03

precipitation.

12:04

online that there's a ton of um laser

12:07

geoengineering being run by government

12:09

agencies to drive these storms.

12:10

taking that seriously. Well, I mean, the

12:14

the origin of this though Freeburg is

12:16

people have done experiments for decades

12:19

on trying to control the weather or you

12:21

know, alter the weather and and they're

12:22

doing that in the Middle East by seeding

12:24

clouds and creating more rain. We saw

12:26

that with the Dubai floods. They said

12:28

that that might have been caused by over

12:29

seeding of clouds uh which they're doing

12:31

there. And then there have been

12:33

experiments just to you know, for the

12:35

crazy laser people conspiracy theorists

12:38

theorists on X.

12:40

There actually have been experiments

12:41

with lasers, you know, being shot into

12:44

hurricanes and storms, correct?

12:47

Are you Alex Jones? Is that what we're

12:49

doing? Well, no. I'm not saying Alex

12:51

Jones but I'm just saying that's the

12:52

origin of where people are kind of

12:53

building on this. There have been

12:55

Okay, so so let's just talk about the

12:57

the hurricane the amount I'm teeing it

12:59

up for you to debunk is what I'm doing

13:00

here. Yeah.

13:01

Putting particulates in clouds to

13:02

accelerate precipitation

13:04

is I mean, we've done that for a hundred

13:06

years. You know, you can do you can

13:08

increase the precipitation rate when

13:10

there's already clouds that have formed.

13:12

But that has nothing to do with creating

13:15

an extraordinary amount of energy. All

13:17

of this energy

13:20

that the oceans are like giant

13:22

batteries.

13:23

And when a hurricane gets going, that

13:24

battery is accelerating the hurricane

13:27

and the hurricane sucks up more power

13:28

from the battery and it creates this

13:30

incredibly dynamical system. There is no

13:32

human created energy system that can

13:34

force form a hurricane. A hurricane is

13:36

an extraordinarily powerful natural

13:38

phenomenon that arises from the amount

13:39

of energy that can come out of very,

13:41

very, very hot oceans, relatively

13:43

speaking. So, you know, that's really

13:45

where these hurricanes are coming from.

13:47

Now, they're going to be more frequent

13:48

if the ocean temperatures remain

13:50

elevated as they seem to be and continue

13:52

to be elevated and this can be a

13:53

function of generally the temperatures

13:56

warming on Earth, generally the removal

13:58

of sulfur dioxide, generally these El

14:00

Nino La Nina cycles.

14:02

There's a lot of factors, but it seems

14:04

to be the case that we are having a very

14:06

significant trend of continuously warmer

14:09

oceans and those continuously warmer

14:11

oceans means that we're going to have

14:12

what used to be called a one-in-500-year

14:14

storm, which is what Asheville is being

14:16

turned at, one-in-500-year. These sorts

14:18

of storm events can happen every couple

14:20

years. And we're now looking at

14:21

one-in-100-year events happening every

14:23

two to three years.

14:25

In the United States with the the

14:26

hurricane activity that we've been

14:27

seeing. I think a lot of the conspiracy

14:29

theories are built on actual experiments

14:31

that happened. This one, Project Storm

14:33

Fury, I'm sure you know about, was to

14:35

try to modify hurricanes by putting in

14:39

some chemicals that would uh freeze them

14:41

and dull them. So, they're they're kind

14:43

of building on this.

14:44

it apart. Yeah, break it apart. So, you

14:46

know, there there there have been

14:48

experiments here with altering weather,

14:50

altering hurricanes, but that doesn't

14:52

mean it's Putin, Pelosi,

14:54

or you know, the Illuminati or whatever.

14:56

get let's get back to brass tacks. So,

14:58

well, let's talk about the economics.

15:00

So, there's there's 500 billion to a

15:01

trillion dollars of real estate value on

15:03

the Florida coastline.

15:05

And what used to be a one-in-100-year

15:07

event, the average Florida homeowner

15:08

historically has been paying about 1% of

15:10

the real estate value in insurance.

15:12

So, now if your real estate is likely to

15:14

be wiped out

15:15

one out of every 20 years instead of one

15:18

out of every 500 years, the cost of

15:21

insurance gets to the point that it is

15:22

untenable for most people to pay for

15:25

their insurance. Florida has a

15:27

state-backed reinsurance provider called

15:29

the Florida Hurricane Catastrophe Fund.

15:32

And this fund issues debt to meet its

15:34

coverage demands because it reinsures

15:36

insurance companies in order to

15:38

incentivize them to come into the state

15:40

and underwrite homeowners insurance.

15:41

you should explain the loop here, which

15:43

is you go and get a mortgage,

15:46

the bank says you need to get insurance

15:48

if I'm going to lend you the money to

15:50

buy the home.

15:51

So then a bunch of insurers need to

15:53

decide that they're willing to

15:54

underwrite that area. And then when they

15:57

give you that insurance, they then want

15:58

to lay that risk off and go to reinsure.

16:00

Is that the cycle? That's right. And

16:02

what's happening is they would normally

16:04

underwrite that risk. They would say

16:06

this is going to cost you going to lose

16:08

the value of your home every 100 years

16:10

or every 200 years. But now the models

16:13

are showing because of the frequency of

16:15

these sorts of hurricane events and the

16:17

severity of the hurricane events that

16:19

maybe you'll lose the value of your home

16:20

once every 20 years or once every 30

16:22

years.

16:23

And no consumer is going to be willing

16:25

or able to pay that much for the

16:27

insurance on their home.

16:29

So the state over the last several years

16:31

has had to step in and effectively

16:33

subsidize the insurance. And now the

16:35

state reinsurance vehicle only has

16:38

statutory liability maximum of $17

16:41

billion

16:42

in a single hurricane season. Now I

16:44

think they got lucky with Milton today,

16:46

but some were estimating that the Milton

16:48

losses were going to be in excess of a

16:49

hundred billion, bigger than Katrina.

16:51

It's likely as of this morning the

16:53

reinsurance websites are all saying it's

16:55

probably a 40 to 50 billion dollar loss

16:57

event. Which still exceeds the state's

17:00

reinsurance capacity. So you can kind of

17:02

think about Florida state's reinsurance

17:03

being being effectively bankrupt. It

17:05

doesn't really have the capacity to

17:07

underwrite the insurance anymore. So the

17:09

real question for everyone is is the

17:11

federal government going to have to step

17:13

in and start to support the price of

17:15

homes because if they don't

17:16

Well, it's a terrible precedent to set

17:18

because if you do it for Florida, then

17:21

you'll have to do it in Texas, and

17:22

Louisiana, and Mississippi.

17:24

with wildfires and floods.

17:25

and Arizona, there's there and Texas,

17:27

there's going to be no way

17:29

to create a clear demarcation of who

17:31

gets a bailout and who doesn't. We which

17:33

which will mean that everybody will get

17:35

a bailout or nobody gets a bailout.

17:37

That's right. And if everybody gets a

17:38

bailout, and if you think about how

17:40

systematically unpredictable, at least

17:42

in the southern states,

17:44

the weather is, you're going to be

17:45

talking hundreds of billions of dollars

17:47

a year, probably. The total value of all

17:49

mortgages in home homeowner mortgages in

17:51

Florida is $454 billion.

17:54

And those people typically have, you

17:56

know, a debt-to-equity ratio probably on

17:58

the 50% to 80% range. So, if the value

18:00

of your home dips by 25% cuz everyone

18:03

starts selling their homes, leaving

18:04

Florida, or they can't get insurance,

18:06

then

18:07

the people that live in Florida, most of

18:09

them have their net worth tied up in

18:10

their home, are going to see their

18:11

personal net worth wiped out or cut in

18:13

half. So, it's not just an economic

18:15

problem, it's a social problem that now

18:17

there are so many people that have put

18:19

their entire net worth into their home,

18:21

the value of their home is written to a

18:22

point that it no longer makes sense

18:24

given the frequency at which homes are

18:25

going to get destroyed in

18:27

that's probably the reason why they'll

18:29

have to do it because Exactly. But then

18:31

that calculation will have to happen for

18:33

every single homeowner in every single

18:34

state at

18:36

where this is a this is an issue. Yeah.

18:38

Wait, Freeberg, are you saying the

18:39

entire Florida coastline is no longer

18:42

economically viable? No, it's totally

18:44

viable. It's just the question is what

18:46

are you willing to ask at what price?

18:48

Will you pay 5% of your home value for

18:50

insurance every year?

18:52

You know, will you pay 2%, 3%?

18:54

If the expected life of a house is 20

18:56

years, then

18:58

no, that's not that's not viable.

19:00

It becomes very, very untenable. Well,

19:02

it used to be one in 500 year, now it's

19:04

probably one in 50, right?

19:05

apply to the entire coastline or just

19:07

parts of it?

19:08

Well, I mean, you saw that the range at

19:10

which these events can happen is all

19:11

over the place. and the and the

19:13

challenge is the events are getting more

19:14

significant

19:17

because of this warm ocean weather that

19:19

we see, this warm ocean temperature. So,

19:21

only good news for you, Burke, is that

19:23

now people are building the first couple

19:25

of floors in high-rises in Miami and

19:27

homes on stilts with concrete and with

19:31

resistant, you know, salt water

19:32

resistant material. So, there is a

19:33

counter to this. So, we might

19:35

An investment in climate resilience,

19:37

that's right.

19:37

Yeah, so it might actually be an

19:40

opportunity to upgrade all these homes

19:41

to resistant ones using another set of

19:44

technologies, but the bailout is really

19:46

interesting, too, Sachs, because

19:48

Florida's got a lot of electoral uh

19:50

college votes, doesn't it? Like I I I

19:52

hate to bring this back to politics.

19:55

But

19:56

you know, promising people bailouts is

19:59

how these politicians seem to be getting

20:01

votes these days.

20:02

is anyone talking about a federal

20:03

bailout? I mean, is that This is

20:05

something you're predicting.

20:07

is saying is that there's a there's a

20:08

pretty obvious parade of terribles here

20:11

where the question will have to be

20:12

answered one way or the other. Because

20:14

if you only have a $17 billion

20:16

reinsurance fund and there's $50 billion

20:18

of damage, somebody's going to have to

20:20

come in and cover the gap. And if it's

20:22

the insurance companies,

20:24

expect your insurance premiums to double

20:26

or triple. That's right. And that's what

20:28

happened in California. And by the way,

20:29

State State Farm left a lot of

20:31

California most of the

20:32

this is what I was going to say. Most of

20:33

these big insurance companies have

20:35

already done the calculus to realize

20:37

that these regions are no longer

20:38

profitable enough to justify the

20:40

downside risk.

20:41

100%. Bigger problem. So, then the the

20:43

ones that are left are insolvent

20:45

reinsurers or insurers that are just

20:48

funding short-term arbs because they

20:50

know that the odds are they're going to

20:51

get wiped out, so they'll price gouge

20:53

effectively. So, you know, a different

20:55

example is that here where I live in

20:57

Menlo Park, we're not in a flood plain,

20:59

we're not in a fire region, none of that

21:02

stuff.

21:03

But in order for us to get home

21:06

insurance, you have to now go through a

21:08

risk assessment. And in our specific

21:11

case, we were like, "Hey, what should we

21:12

do with our roof?" And they were like,

21:14

"You got to take the roof off if you

21:15

want home insurance." We're like, "Well,

21:17

home insurance is probably a good thing

21:18

to have."

21:18

Was it a wood shake roof on your house?

21:20

It was a beau- You saw our house, it's a

21:22

beautiful wood shake roof, and we had to

21:23

remove it. And the two choices were a

21:25

$350,000

21:27

like iron

21:28

Composite materials, yeah. Or or like

21:30

70k for composite. And it's like, this

21:33

is insane. And Kev,

21:35

the cost of insurance was just egregious

21:38

in the absence of

21:40

going in one Anyways, we ended up

21:42

getting the

21:42

For most homeowners, when the cost of

21:44

insurance gets to a certain threshold,

21:45

you don't have budget for it, you can't

21:46

afford it. And so that's a lot of why

21:48

the insurers leave. They'll underwrite

21:49

anything at any price, but they just

21:50

know that most consumers can't afford

21:52

it. Here's some other interesting

21:53

statistics uh related but unrelated. In

21:55

the early 1900s, the city of Phoenix,

21:57

Arizona averaged 5 days a year of

22:00

temperatures of 110° or warmer.

22:03

By the 2010s, Phoenix averaged during

22:06

the 2010s 27 days a year where the

22:09

temperature was 110 or higher.

22:12

Since 2021,

22:14

Phoenix averaged

22:14

100 plus days. 42 days, and in 2024,

22:18

it's been 70 days so far this year that

22:20

the temperature is over 110. So this is

22:23

affecting And so there's there's

22:24

increased risks in California with

22:25

wildfires, increased risks with

22:26

hurricane. There are a lot of these

22:28

factors, and I have friends that work in

22:30

reinsurance and in the insurance

22:31

markets. Even Even if you don't get

22:33

affected by a wildfire disaster, when

22:36

that that article was in the Wall Street

22:38

Journal, it I think it said that um

22:40

the number of average days above 100 was

22:42

like 100 something. Yes. And and the

22:45

profile They profiled this retired woman

22:47

who was an insurance adjuster or

22:48

something.

22:50

And the whole point of the article was

22:51

not that her her house was destroyed or

22:53

at risk, but the cost of electricity has

22:55

gone just absolutely sky high. Even with

22:57

solar panels, even with storage,

23:00

you need to basically lean on the grid.

23:03

And the grid now just charges you an

23:05

exorbitant amount of money. And so these

23:07

these folks are paying thousands of

23:09

dollars here. So if you imagine the the

23:11

trifecta,

23:12

you have all of this climate risk that

23:15

could destroy your home.

23:16

You're paying an enormous premium for

23:18

home insurance. And then you're paying

23:20

an enormous premium for electricity from

23:22

the main line power utilities. It's it's

23:25

not sustainable. Yeah. Yeah. And and

23:27

just for background, FEMA manages

23:30

something called the NFIP, National

23:32

Flood Insurance Plan.

23:34

And

23:35

it's historically about 50% cheaper than

23:38

private flood insurance. They have 4.7

23:40

million active policies providing 1.3

23:43

trillion in coverage.

23:45

But they instituted a new risk

23:47

assessment system and that caused rates

23:49

to increase and

23:51

yeah, it's uh because of all this, the

23:54

policies have decreased over the last

23:56

couple years, meaning less people have

23:57

flood insurance at the same time that

24:00

these things are getting worse.

24:03

And so

24:04

yeah, this is a a really tough issue. I

24:06

wonder if this is an opportunity,

24:08

Chamath,

24:10

if

24:11

you think about historically how

24:13

insurance worked, it worked in

24:14

communities where people would help each

24:16

other out and do barn raising kind of

24:19

events when somebody had a problem. So

24:21

if we just put on our entrepreneurial

24:22

hats here,

24:24

if you look at the cost of insurance, if

24:26

a hundred different people bundled the

24:28

cost of their homes together, put money

24:30

into some sort of platform like an Uber

24:32

Airbnb marketplace, and there was some

24:35

management structure here of

24:36

self-insurance because I know some

24:37

people are doing self-insurance for

24:39

health care at their companies, for this

24:40

kind of thing. Do you think there's

24:41

going to be a new business opportunity

24:45

here

24:45

That already exists, Jason. It's called

24:47

a mutual. And those are like a good

24:49

chunk of the industry are mutuals where

24:52

it's the shareholders are the members

24:54

and they all share the risk and the

24:56

ownership. But the problem is those

24:57

things work because you have broad

24:59

geographic coverage. If you had to go

25:00

just into Malibu and

25:02

self-insure, the rates would literally

25:05

be the greater than the value of the

25:07

home.

25:08

one would pay into it. So, if you

25:09

actually if you do proper underwriting,

25:11

what's happened in the last couple of

25:12

years is all the reinsurance companies

25:13

and all the insurance companies have had

25:14

to re-underwrite the rates that they

25:16

charge for insurance because the

25:18

frequency of a disaster has gone up.

25:20

Mhm. And the new price that they should

25:22

be charging is so high, it doesn't

25:24

matter how the capital structure is set

25:25

up. It's simply there's a there's one

25:28

big event that's going to cause a big

25:29

wipeout for a large number. My personal

25:31

belief is I think that the the real

25:33

estate markets in some of these places

25:36

are um

25:38

meaningfully mispriced. And

25:41

specifically what I mean is that they're

25:42

massively overpriced. That's right.

25:44

Because I think when you actually

25:45

account for the climate damage and the

25:49

long-term financial stability of the

25:52

insurers and the reinsurers,

25:54

I don't think that many of the markets

25:56

that

25:57

have seen these crazy sky-high prices.

26:00

I'll name two to be specific, West Palm

26:02

Beach and Malibu. So, both ends of the

26:06

coasts.

26:07

These things just don't make sense. And

26:09

I think people view these things as

26:10

investments, but on the West Coast when

26:13

you deal with things like soil erosion

26:15

and other things, I think it's a there's

26:17

it's a calamity waiting to happen. And I

26:19

think on the East Coast when you factor

26:20

in the

26:22

extreme weather conditions, even Jason

26:24

your comment about rebuilding these

26:25

homes in a more foolproof way doesn't

26:28

solve it because it you won't be able to

26:30

rebuild the entire state.

26:33

There's a lot of people that just can't

26:34

afford it.

26:35

There's a lot of folks

26:37

that will not have adequate coverage.

26:41

So, I just think these are disasters

26:42

waiting to happen, unfortunately.

26:44

Yeah, it it's and Saxby, there is some

26:46

movement right now.

26:49

A lot of people, even of means, are

26:51

renting their homes and so

26:54

in the real estate market what are your

26:55

thoughts on that? Just

26:57

renting versus buying now becoming like

26:59

a

27:00

something that you know people in the in

27:02

the top half of home owners or potential

27:05

home owners are now electing to not own

27:07

their home and rent.

27:09

Have you been monitoring that?

27:10

hadn't heard that. I mean the the trend

27:13

that I thought was happening was that

27:14

you had these big funds like BlackRock

27:16

or whatever buying up huge numbers of

27:19

homes and then running them to low end

27:21

homes, yeah. Low end or medium Yeah. you

27:24

know, to families. I thought that's what

27:25

was going on. I hadn't heard that

27:28

at the high end of the range that people

27:30

were renting.

27:30

well if you think about it like there's

27:32

there seems to be a tap when you have a

27:33

$10 million home of what you can

27:35

possibly rent it for and it's it's the

27:38

the the prices are now making more sense

27:41

to keep more sense to keep your money in

27:42

the market or in other places and then

27:45

rent. I'm just hearing now.

27:46

Freeberg, are you are you long real

27:47

estate in Florida or coastal California

27:50

if you could or do you treat them

27:51

differently?

27:53

I think they're different but Florida's

27:55

like

27:56

I mean I don't know how you do the math

27:58

on

28:00

I just don't know what you do on a

28:02

trillion dollars of real estate value

28:04

with half a trillion of mortgages

28:07

when you have real exposure on loss more

28:10

frequently than one in 100 years.

28:12

They're to your point they need to be

28:14

repriced and how do you reprice those

28:16

homes in the significant level that they

28:17

need to be repriced without causing

28:19

massive economic and social consequence.

28:22

That's what's that's what's kind of I

28:23

think challenging me in thinking about

28:25

what's the path here. So is it a is it a

28:27

good thing that I sold my Miami place

28:29

last week?

28:30

Once again, Sachs makes a great trade.

28:33

Pretty awesome. Well done, Sachs. You

28:35

top ticked it again. Well done,

28:37

Sachs-y-poo.

28:39

Just like

28:40

I really loved I loved that house. Oh.

28:43

It was on the beach side.

28:44

loved that house. Where do you think I

28:45

stayed when I was town?

28:47

You're so selfish. I lost a

28:50

I lost a place to stay. I mean the yacht

28:52

access alone, being able to get out on

28:54

the bay and get on a boat, the the

28:56

Sea-Doos, all this great stuff. Ah.

28:59

Okay, all right. Let's uh let's keep the

29:01

Freeberg train going here. Huge news.

29:03

AlphaFold creators just won a Nobel

29:05

Prize in chemistry. Two members of

29:08

Google's DeepMind AI research team,

29:10

Demis Hassabis and John Jumper, received

29:14

this year's Nobel Prize in chemistry.

29:17

They both work for Google's DeepMind, as

29:18

you know, and Freeberg, again, all in

29:22

getting there first, explained what

29:23

AlphaFold was back on episode 14 in

29:27

December of 2020. That was almost 4

29:30

years ago.

29:32

Freeberg, maybe um you could explain Did

29:34

we did we predict that they would win

29:36

the Nobel Prize at the time?

29:37

you did. I will go check the receipts

29:39

using

29:40

on. Hold on. Hold on. It was it became

29:43

it became much more likely that they

29:44

would win the Nobel after they won the

29:46

Breakthrough Prize. I mean, just a just

29:49

to point this out, but

29:50

Yeah, yeah. Shout out Yuri Milner. Shout

29:52

out Yuri and Julia.

29:53

And Julia.

29:55

Because when those guys

29:56

won that award for 2023

30:00

and you you heard the extent of what

30:03

they've done,

30:04

it was almost like obvious that they

30:06

were going to win a Nobel after the

30:08

fact. So, I think the really interesting

30:10

thing is actually

30:11

in this community, I think the

30:12

Breakthrough Prize is actually

30:14

meaningfully more relevant and a

30:16

positive directional indicator to

30:17

Breakthrough science.

30:18

Well, it's kind of like winning Sundance

30:21

or Cannes. You win the Palme d'Or, you

30:22

become a favorite to win at the Oscars,

30:25

right? In the Academy Awards. So, that's

30:27

actually interesting. The regional or

30:29

more industry centric award could lead

30:31

to the next one. So, Freeberg, just

30:33

explain to us why this is so important

30:35

I just think it's I just think it's much

30:36

more rigorous than the Nobel. I think

30:38

the Nobel can be a little bit gamed, I I

30:40

Oh, interesting. Okay.

30:42

What do you think, Friedberg? Explain to

30:43

the audience why this is important and

30:45

and what's transpired since we talked

30:47

about it 4 years ago.

30:49

There's been a long

30:51

challenge in biochemistry on

30:54

understanding or predicting or

30:57

visualizing

30:58

the three-dimensional structure of of

31:00

proteins cuz remember proteins are

31:03

produced by long chains of amino acids.

31:06

And those amino acids are kind of create

31:09

like a bead beaded necklace and then the

31:11

the whole necklace collapses on itself

31:13

in a very specific way.

31:15

And that three-dimensional molecule,

31:16

that big chunky protein, does something

31:18

structurally physically.

31:20

And so trying to understand the shape of

31:22

a protein is really hard. I mean, we've

31:25

used kind of X-ray imaging systems to

31:27

try and identify it and try to build

31:28

models to identify how does that quote

31:31

protein folding work? How do those amino

31:33

acids collapse on each other to create

31:34

that three-dimensional construct? And if

31:36

I don't know if you guys remember in the

31:37

early 2000s,

31:39

there was a Stanford Folding@Home

31:40

distributed computing project. Do you

31:42

guys remember this? Yeah.

31:44

It would use people's machines and extra

31:46

CPU like the SETI@home project to

31:49

Precisely, yeah. Exactly right, yeah. So

31:51

it like it ran on the background of your

31:52

computer. It used your CPU cycles when

31:54

you weren't using your computer. And it

31:55

tried to model protein folding. And so

31:58

this has been a a problem that folks

31:59

have tried to tackle with compute for

32:02

decades to figure out the 3D structure.

32:04

This is so important because if we can

32:06

identify the 3D structure of proteins

32:09

and we can predict them from the amino

32:11

acid sequence,

32:12

we can print out a sequence of amino

32:14

acids to make a protein that does a

32:16

specific thing for us. And that unlocks

32:19

this ability for humans to create

32:20

biomolecules that can do everything from

32:22

binding cancer to breaking apart

32:25

pollutants and plastics to um you know,

32:28

uh creating entirely new molecules to

32:31

running in some cases like what David

32:32

Baker did at University of Washington.

32:34

He shared the Nobel Prize creating

32:36

micromotors, mini motors hmm, from

32:38

proteins that he designed on a computer.

32:41

And so this becomes, I think this great

32:42

like big holy grail in biochemistry and

32:45

the AlphaFold project at at DeepMind

32:47

inside of Google solved this problem.

32:49

And and by the way, since since then

32:51

they've come out with AlphaFold 3,

32:53

they've launched a drug discovery

32:54

company called Isomorphic Labs where

32:56

they're

32:57

basically predicting molecules that will

32:59

do specific things for a target

33:01

indication

33:02

and then they use the AlphaFold models

33:04

to actually design and develop those

33:05

molecules.

33:07

And there have been literally dozens of

33:09

companies that have been started since

33:11

DeepMind was published and probably

33:13

several billion dollars of capital

33:15

that's gone into companies that are

33:17

creating new drugs, creating new

33:18

industrial biotech applications using

33:20

this protein modeling capability that

33:22

was unleashed with DeepMind a number of

33:24

years ago. So it really has transformed

33:26

the industry. It'll be a couple years

33:27

before we see it transform the world,

33:29

but it's it's it's an exciting kind of

33:31

thing, yeah. Not to virtue signal here,

33:34

but those are plus-size proteins now,

33:36

Freeberg. They don't like being called

33:37

chunky. You got to call them plus-size

33:38

proteins. Plus-size proteins.

33:41

One one really difficult technical

33:43

question for your Freeberg. Is there any

33:45

way for you to take this amazing

33:47

breakthrough

33:48

and make Sachs interested in it? Is

33:50

there any possible vector here for it to

33:53

relate to Sachs and get him off his

33:56

Blackberry right now?

33:58

Blackberry? I think he's playing chess

34:00

with Thiel and J.D. Vance is watching

34:03

them play chess.

34:04

I think that's what's going on right

34:05

now. It's really hard. I mean the poor

34:06

audience here is watching Sachs looking

34:08

down.

34:10

All right, let's keep this train moving

34:11

here. Enough of the shenanigans.

34:13

Anyway, congrats to the teams, the

34:15

various teams that won the Nobel. Yeah.

34:17

I mean it's just great.

34:18

And and David Baker at the Baker Lab at

34:20

the University of Washington, also a

34:21

breakthrough prize winner.

34:23

Yeah.

34:24

What's interesting to me is like these

34:25

two Nobels, these guys, but also

34:28

Geoffrey Hinton's,

34:30

you know, you're really seeing

34:32

the convergence of the hard sciences and

34:35

computer science.

34:36

Totally. in a really meaningful way. And

34:38

I think that that's so interesting and

34:40

cool.

34:41

I think in the group chat, Chamath, you

34:43

had an interesting, hey, maybe there

34:44

should be a computer science award

34:47

for, you know, a Nobel computer science

34:49

award. And uh I actually think it's the

34:51

opposite now, which is that it's amazing

34:54

to see folks using computers

34:58

to improve our understanding of the

34:59

natural sciences. And I think that

35:01

that's a really great place to be. So,

35:03

what Demis and John and David are doing

35:05

in the life science is amazing. What

35:07

Geoffrey Hinton, you know, did, you

35:09

know, 20, 30, and 40 years ago and 20

35:12

years ago in terms of training deep

35:14

neural nets, also really amazing. In

35:16

related All computer based. Yeah, all

35:18

computer based. And in related news,

35:19

Benioff just nominated himself for

35:22

excellence in CRM management. So,

35:24

congratulations to Benioff on nominating

35:26

himself for a Nobel.

35:28

What is that comment?

35:30

Why are you attacking Benioff? What is

35:31

that comment? The audience What did he

35:33

do wrong? Yeah, it's just a joke. It's a

35:35

joke.

35:36

What are you doing?

35:37

They're just jokes.

35:38

Have you not learned anything from the

35:40

Apollo Lucky in Tax to people that

35:41

attack you?

35:42

AN ATTACK. IT'S A JOKE. Benioff has done

35:45

so much for philanthropy. Just ask him.

35:47

If you

35:50

Dude, he's doing the best he can. He's

35:51

doing a great job. This is how I got in

35:53

trouble WITH PAUL GRAHAM.

35:55

CAN YOU PEOPLE HAVE A SENSE OF HUMOR

35:57

about yourselves?

35:58

it's not even it's not even funny. If

35:59

you had said something else.

36:01

I mean, okay, give me give me a funnier

36:03

Nobel. Go ahead. Go go ahead.

36:05

Benioff runs a $300 billion market cap.

36:08

He's chomping at the bit to come back on

36:09

the pod and explain why AI is not going

36:12

to disrupt SaaS.

36:13

Really? Oh, is he? He wants to be back

36:15

on the pod?

36:15

me. He wants to come on. We'll check in

36:17

We'll check in in a hundred billion

36:19

dollars.

36:21

He had his chance. That chance is

36:23

closed. He shot his shot and it did not

36:26

land. That door was closed when he

36:28

insulted our guest about not being able

36:29

to afford the Disney cruise.

36:31

you all-in people pores.

36:33

Oh my god.

36:35

Now you're piling on. Anybody coming to

36:37

Dreamforce 2025? Okay, let's move on.

36:40

Sorry. Anyways, leave Benioff alone,

36:42

Jason.

36:42

Leave

36:43

It's like

36:45

Leave Britney alone. That famous meme.

36:47

Leave Benioff alone. So, how many new

36:49

enemies do you want to create?

36:52

I just it's they're just jokes, people.

36:54

Just jokes.

36:56

Just when you thought he was running out

36:58

of feuds, you know.

36:59

I'm not in A FEUD WITH ANYBODY. I'M

37:01

MAKING STUPID JOKES. The reason people

37:04

tune in is cuz you laugh and learn. Did

37:06

you guys see that that tweet?

37:09

That uh somebody suggested throwing a

37:11

conference with all of J Cal's haters.

37:13

JASON CON

37:16

J CAL

37:18

JATERS JATERS convention

37:20

What is it called? Jaters? Jaters, yeah.

37:23

J haters

37:24

Yeah, Jason haters. Jaters, yeah. I'd

37:26

like to shout out my jaters.

37:27

They're just jokes, folks. I I I love

37:30

you, Mark. Benioff

37:32

Uh come on the pod, Zuck.

37:35

I think somebody could launch a

37:36

successful summit just doing that. It's

37:38

like it's like a ready-made audience.

37:41

And they're clearly passionate. They're

37:42

clearly passionate. All the YC founders

37:45

will be there.

37:46

Keynote day one, Palmer Lucky. Keynote

37:49

day two, David Sacks.

37:52

David Sacks

37:54

I think it would rival the All-In Summit

37:55

in terms of the passion of the fans.

37:57

All three of us would show up. J Cal

37:58

would be so devastated.

38:00

Keynote one Are you kidding me? I think

38:02

it's hilarious. Yeah, I would have to

38:05

I'd have to keynote. INSTAGRAM

38:07

OH. BENIOFF

38:08

I LIKE BENIOFF. WHAT I DON'T I'M TRYING

38:10

TO MAKE AMENDS with Benioff. He's just

38:13

got to have a sense of humor. Oh my god.

38:14

Um Megan Kelly

38:16

Oh, yeah. Megan

38:16

Special fireside chat, Megan Kelly and

38:18

Palmer Lucky.

38:20

Wait, does Zuck hate you, too? Why does

38:22

Zuck hate Oh my god, J Cal was just so

38:24

I was brutal to Zach in the early days.

38:25

Brutal, yeah. Why?

38:27

Well, he just

38:28

Anyway, we'll get to it later.

38:29

But you're right. Like, you know,

38:30

throwing a conference for J haters would

38:32

just be That's like a ready-made

38:34

Jaters. That is an underserved and

38:37

passionate demographic.

38:38

be bigger than 10 Passionate

38:39

demographic. Just Just look at Zach's

38:41

replies.

38:43

Community with shared values. Hey, man.

38:45

If I can get 25% of those ticket sales,

38:47

I'm in. Let's go.

38:49

All right. Let's keep the train moving

38:50

here.

38:52

We have an update on the DOJ's antitrust

38:55

suit with Google. Looks like they're

38:57

going for the breakup as Chamath

39:00

predicted.

39:02

You remember the Bloomberg report back

39:04

in August. We covered it in episode 192.

39:07

Google is found liable for maintaining a

39:09

monopoly in search and digital ads. Now,

39:11

the DOJ is working

39:14

on the remedy, right? Okay. They're

39:16

guilty, so now comes time for the

39:17

remedy.

39:18

And the DOJ is, quote, this is from

39:20

Bloomberg, "Considering asking a federal

39:23

judge to force Google to sell off parts

39:25

of its business." And according to this

39:28

filing, the DOJ is specifically

39:30

considering structural remedies that

39:32

would prevent Google from using products

39:34

such as Chrome, Google Play, that's the

39:37

app store on Android,

39:39

and Android itself to advantage Google

39:41

search. 32-page document released by the

39:44

DOJ lays out several options, and uh

39:47

we'll go through them and talk about

39:48

them here.

39:49

The obvious one, terminating Google's

39:51

exclusive agreements with hardware

39:53

companies like Apple. They're the

39:54

default search engine there for 30 or 40

39:56

billion a year. Samsung, that's a layup.

39:59

Uh separating Chrome and Android. My

40:01

god, that would be drastic, ripping that

40:02

out of the Google ecosystem. Prohibiting

40:06

certain kinds of data tracking, that's a

40:07

layup as well. Or other behavioral and

40:10

structural changes for the company. I'm

40:12

going to pause there, Friedberg, and get

40:14

your thoughts on this as a former

40:16

Googler and you interviewed Sergey at

40:19

the summit, but I don't think we talked

40:21

to Sergey about this because obviously

40:22

he would not be able to talk about it.

40:24

So, what are your thoughts here on a

40:26

potential remedy? I think we've talked

40:28

about this. I I mean, look, I've shared

40:30

in the past my belief that companies

40:33

that are big

40:35

that have excess capital that then

40:36

invest that excess capital in R&D can be

40:39

a net benefit for all of us.

40:41

Look at Bell Labs. Bell Labs had a

40:43

monopoly on

40:45

through their association with

40:48

AT&T

40:50

with

40:51

developing radar, microwave, the

40:53

transistor, integrated circuitry

40:56

information theory, everything that is

40:58

the basis of the internet, computing

41:00

even

41:02

nuclear technology and so on. It's

41:04

because they had this extraordinary

41:05

capital flow from the scale of the

41:07

business and they were able to invest in

41:09

R&D. Similarly, Google acquired

41:12

and invested for many, many years in

41:13

DeepMind and we just talked about how

41:16

Demis and team won the uh

41:18

uh the Nobel Prize for the work that

41:19

they did. And they, by the way,

41:21

published

41:22

the protein structure for 200 million

41:24

proteins for free out of that service.

41:27

I just want to zoom out for a minute and

41:29

talk about the fact that this isn't

41:30

about

41:33

you know, whether Google has a monopoly

41:34

in search that prohibits competition or

41:36

in ads that prohibits competition, but

41:39

or do is it really worth

41:42

penalizing any company that's big,

41:43

particularly do we lose the benefit of

41:45

those big companies investing in

41:47

technology that pushes us forward?

41:48

Google also invested in Waymo for years

41:50

and years and years which arguably

41:53

spurned and drove investment from many

41:56

other companies in self-driving

41:57

technology and if Google hadn't done

41:58

that would self-driving have taken off

42:00

the way it did? I don't know.

42:02

Same with Kitty Hawk and Larry's

42:03

investment in EVTOLs and that that

42:06

spawned a lot of EVTOL investing. And

42:08

similarly, if you think about Amazon and

42:10

their investment in AWS where they were

42:12

burning cash for many years.

42:14

That turned out to spawn arguably a lot

42:17

of uh interest and investment in cloud.

42:20

And so, I I don't think that these big

42:22

companies are bad just because they're

42:23

big. I think we should take apart the

42:25

monopolistic antitrust actions and

42:28

behaviors that they take and then

42:29

identify ways to remedy those behaviors

42:32

versus just saying anyone or anything

42:34

that's big should be taken apart because

42:36

there is a tremendous benefit to be

42:37

gained from the R&D dollars that they

42:39

all put into things that, you know, move

42:42

the whole industry forward. And I think

42:44

that leadership's important and needed.

42:45

Otherwise, if you've got a bunch of

42:46

startups that are trying to get $10

42:48

million checks from VCs, I'm not sure

42:50

they're going to build a Waymo, and I'm

42:51

not sure they're going to build uh

42:53

Amazon Cloud, and I'm not sure they're

42:55

going to build a DeepMind

42:57

you know, protein folding company and

42:58

publish it for free. So, I don't know,

43:00

that's just my point of view.

43:01

Chamath, what's the likely outcome? How

43:02

do you How do you think about this

43:03

stuff? Chamath, you kind of nailed this

43:05

one

43:06

pretty good with these predictions. Tell

43:08

us we'll be sitting here 5 years from

43:09

now, what will have occurred?

43:14

Unfortunately, not what Freeberg just

43:16

said.

43:17

It'll be the opposite. There'll be some

43:19

form of forced remedy. I'm sympathetic

43:22

to Freeberg's argument. I don't think

43:23

that it's really a good thing in the end

43:25

because I do think there are some

43:27

incredible examples

43:29

of

43:30

Google specifically reinvesting in a way

43:33

that's really

43:34

added value in the world. Mhm.

43:36

I think the problem though is that

43:40

the technology innovation cycle has

43:42

gotten too elongated. So, you're not

43:45

seeing

43:47

creative destruction be the natural

43:49

force that keeps all of these companies

43:52

in their own swim lanes. And so, they

43:54

are allowed to become

43:56

too amorphous and too profitable, and I

43:59

think it becomes an obvious target for

44:03

politicians. I think that's a really

44:05

good

44:06

observation there about the timeline of

44:08

this because if you look at this

44:11

I have started now and I know many

44:13

people are starting their search journey

44:16

on Claude and chat GPT every day. I'm

44:18

doing 30, 40, 50 queries and follow-ups

44:21

per day. I force my entire team to do

44:24

that as well.

44:26

And so just as there's an actual viable

44:28

competitor to Google, this action has

44:31

reached, I don't know, the halfway mark.

44:34

This is going to wind up being

44:35

completely meaningless acts if chat GPT

44:38

does build a viable competitor

44:41

co-exister that siphons off search.

44:44

Am I wrong here?

44:47

Well,

44:48

it is ironic that frequently the

44:50

government takes actions on these

44:52

monopolies at precisely the moment

44:54

they're subject to the greatest

44:55

disruption. Totally. The same thing

44:57

happened with Microsoft in a way, but it

44:59

was still a good thing that the

45:00

government acted when it did because

45:01

there was a risk of Microsoft porting

45:04

over its desktop into this new era of

45:07

the internet. I think it's still a good

45:08

thing to be looking at breaking up

45:10

Google. I actually think that would be

45:11

good. At the end of the day, it might

45:12

even be good for shareholders.

45:14

This thing should be probably three

45:15

separate companies like we've talked

45:16

about in our previous show. But it is

45:18

true that Google is facing the most

45:21

existential threat to its search

45:23

monopoly and it is a monopoly

45:25

in the form of

45:27

OpenAI at this point in time.

45:30

I have one final thought here and piece

45:32

of advice for Sergey and the team over

45:33

there and I and I tell Sergey directly,

45:36

they have to get good at making apps. To

45:38

go use chat GPT, you take out the app

45:41

and it's a wonderful, beautiful

45:43

experience. When you go try to figure

45:45

out how to use Gemini, it's like

45:47

shoehorned into search results and then

45:49

it's like some subdomain. That's why

45:51

people aren't using it. Go buy the

45:53

domain name chat.com and make a

45:55

dedicated app just for Gemini and make

45:58

it kick ass. You're You're right. You

46:01

suck at apps.

46:02

We said this when when you asked

46:05

about the bear case of Open AI.

46:08

If the DOJ is going to go after Google,

46:11

and by the way, the interesting thing,

46:13

Jason and I mentioned this to you is

46:15

that in the same article that floated

46:18

the trial balloon about this remedy of a

46:20

Google breakup, the headline in the Wall

46:22

Street Journal, which I think was very

46:23

purposeful, said Google and Meta. So, I

46:26

think that they, if given their

46:28

druthers, they being the powers that be

46:30

in Washington,

46:32

will probably want to take a run at both

46:33

of these companies. They'll start with

46:35

the one that they think they can

46:38

disassemble the quickest, and then

46:40

they'll go to Meta afterwards.

46:42

My strong advice

46:44

to Meta and Google

46:46

is

46:47

if this is going to happen,

46:51

you got to go out

46:53

kicking and punching and fighting and

46:55

scratching. And I think the most obvious

46:57

thing is what you just said, Jason,

46:59

which is you are the front door to the

47:01

internet.

47:02

And there is this completely new

47:04

emergent technology.

47:06

And where is the same response to chat

47:11

GPT

47:12

that you had to X, or that you had to

47:15

Snapchat, or that you had to TikTok?

47:17

Because if it's going to happen, it's

47:19

going to happen, and then you might as

47:21

well just go for it. Yeah. Build the

47:23

apps, make them kick ass, make the chat

47:26

GPT alternative, and get it to billions

47:29

of people yesterday.

47:31

Mhm. That would be the most logical

47:35

game theory thing to do

47:37

to build up a pool of users that you

47:40

will rely on

47:42

when

47:44

the DOJ tries to come with some consent

47:46

decree or whatnot. So, this is the time

47:48

to build up the assets now, as

47:51

aggressively as possible. Yeah. And uh

47:53

selling YouTube would be the ultimate. I

47:55

know that the ad networks you pointed

47:57

out for your burger are connected.

47:59

But if they distributed

48:01

and if they spun

48:01

I'll give you I'll give you something

48:03

about the ad thing. Can you imagine $500

48:05

billion

48:06

going into Google's coffers in YouTube

48:09

shares? They would have $500 billion in

48:11

cash, Chamath.

48:13

I had a I talked to a company he a CEO

48:16

of a of a public consumer-facing company

48:18

and this was

48:20

in the context of some 80 90 stuff.

48:23

And

48:25

he said that he and and two other CEOs,

48:28

the three of them you guys would all

48:30

know. These are very big companies. The

48:32

three of them combined are particularly

48:33

large.

48:34

And they said they've had multi-year

48:36

road maps to try to build a reasonable

48:39

set of tools in advertising and it's

48:41

been impossible.

48:43

And partly why is that the the tools

48:46

that the big folks offer are so good

48:49

that they just cannibalize and run over

48:50

the entire market. And so what they hear

48:52

from CMOs is we would love to advertise

48:55

on your company, your site, but A, your

48:58

tools are substandard and B, even though

49:00

your inventory is cheaper, you just

49:02

don't give us the same scale and breadth

49:05

that we get in these other big places.

49:07

I'm not saying that that's either right

49:09

or wrong.

49:10

But through the lens of probably what

49:12

the DOJ sees is when a lot of these

49:14

folks write letters to them talking

49:16

about what they're going through. This

49:17

is what they're saying and I suspect

49:20

that if you could actually have

49:23

a more fragmented market in some of

49:25

these key markets, it's going to be a

49:27

little bit easier for these smaller

49:29

companies to have a business. Now, you

49:31

could say, well, tough luck, you tried

49:33

and you couldn't build it. I get that

49:34

argument and I think and I think that

49:35

that at some point that is legitimate,

49:37

but the problem is if you're public and

49:39

you're trying to make your company

49:40

profitable,

49:41

what do your engineers want to work on?

49:43

They want to work on consumer-facing

49:44

forward features. And so what always

49:46

falls off the list? It's the stuff at

49:48

the end. The ad tech, yeah.

49:50

And so anyways, it's this recursive

49:51

negative loop that a lot of these other

49:53

companies are in in the shadow of these

49:55

big companies that I think is going to

49:56

cause the DOJ to try to do something.

49:59

You know, this is a great setup for M&A.

50:01

It's a great setup for IPOs, starting to

50:03

look like. And this is a multi-

50:06

administration case that's been going,

50:08

right? I think it started under Trump,

50:11

went into Biden, and is now going to

50:12

continue on to Trump or or Harris.

50:15

So, what are your thoughts here, Sachs?

50:19

Well, in terms of the political

50:20

environment for M&A next year? Yeah.

50:22

Yeah, I mean, so obviously it depends

50:24

which administration's in power.

50:26

A lot of Democrats,

50:28

you know, prominent Democrats in tech

50:30

like Mark Cuban or Reid Hoffman have

50:31

been making the case that if Kamala is

50:34

president, she's going to be much more

50:36

hospitable and friendly towards M&A. And

50:39

they've been saying explicitly that they

50:41

want Lina Khan fired.

50:43

Well, in response to that, AOC just came

50:45

out and said, "We're going to have a

50:46

throwdown if you do that." So,

50:48

I don't I don't expect

50:50

I would not expect a substantial

50:52

difference or improvement in the

50:54

in the regulatory

50:56

permissiveness towards M&A if if we have

51:00

a Democratic administration. If the if

51:03

you have Trump in office next year, I

51:05

think that there there will be an

51:07

opening up of of M&A. I think the

51:09

Republicans have their own issues with

51:11

big tech, but those issues tend to

51:13

revolve around censorship and

51:16

bias in search results and LLMs, things

51:18

like that, as opposed to bigness per se.

51:21

So, I think it will be easier to get M&A

51:24

done next year if you have a Republican

51:26

administration. Absolutely. I am going

51:28

to be printing money in a Trump

51:30

administration. It is going to be

51:31

obscene how many M&A deals and IPOs are

51:34

going to occur. There is such a huge

51:36

backlog.

51:38

But I do think there I do think the

51:39

Democrats want to get this moving as

51:41

well. And I was talking to Reid Hoffman

51:43

uh and you and Peter Thiel in the

51:46

Illuminati meeting. And uh they voted

51:48

190 to 2 to replace Lena Khan in the

51:50

Illuminati meeting. Chamath, why didn't

51:52

you make the Illuminati meeting last

51:53

week? I'm shocked that you weren't

51:55

there. I'm not I'm not invited to that.

51:57

Pe- People don't know that you're being

51:58

facetious, Jason. Oh, really? They don't

52:01

understand that I'm joking about the

52:02

Illuminati?

52:03

They often don't. They often don't.

52:05

Well, I'm sorry to the low IQ

52:08

listeners who don't know that the

52:10

Illuminati is not real.

52:11

Oh, now now you're insulting the

52:12

audience?

52:13

No, I'm insulting the ones who believe

52:14

there's an Illuminati.

52:16

He's trying to sell tickets to the J

52:18

Ball.

52:18

Sell tickets to the haters ball.

52:21

With Buck Nasty. Zuck Nasty. Jane

52:24

Caldwell is the biggest hater in the

52:26

tech industry.

52:28

You ever see the haters ball, Sachs?

52:30

I have not seen it.

52:31

Chappelle's Show? No. Chamath, it looks

52:34

like between the time we mentioned it on

52:36

the pod, it's it's actually happening.

52:37

Here it is, the haters ball is

52:39

happening. There it is. Lena Khan,

52:42

David Sachs.

52:43

Wait, why am I there?

52:45

Chamath, cuz you're a headliner. You're

52:46

you organized it. I think you're the

52:47

host.

52:48

to be a keynote?

52:49

You're the MC.

52:50

I'm the I'm Okay, wow, I'm the MC. There

52:53

look, there's there's Zuck Nasty and

52:55

there's Palmer Lucky.

52:56

You guys don't know this bit from

52:58

Chappelle?

52:59

No.

52:59

The haters ball from Chappelle? Oh my

53:01

god, it's the funniest bit

53:04

on Chappelle's Show. It It's literally I

53:06

mean, I saw a lot of Chappelle's Show. I

53:08

never I don't remember that one. Oh god,

53:09

just show the real picture, Nick. Um on

53:11

the Chappelle's Show, they have all of

53:13

these pimps

53:15

who have a a yearly convention, which is

53:17

their player haters ball.

53:18

this. I've seen the player haters ball.

53:20

is sit there with like a toothpick in

53:22

and they hate on each other and make fun

53:24

of each other.

53:24

I've seen this. I've seen

53:25

It is the funniest bit in the history of

53:27

the Chappelle's Show. All right, let's

53:29

keep the train moving here. CRV is

53:33

giving back or maybe not calling down

53:34

275 million from their LPs. Charles

53:36

River Ventures, shout out to my pal

53:38

Jordan Zachary and Greek brother from

53:40

CRV.

53:41

Historically, they invest in early stage

53:43

startups. They did DoorDash, Airtable,

53:45

Twitter back in the day.

53:47

They had two funds that they raised back

53:48

in 2022, billion-dollar early stage fund

53:50

and a 500 million growth fund.

53:53

Sometimes people call that an

53:54

opportunity fund or a select fund.

53:56

The New York Times reported CRV is going

53:58

to give back about half of that 275

54:00

million to investors or technically

54:03

probably not call it down. The four

54:05

partners at CRV

54:07

gave an exclusive to the New York Times,

54:09

so either getting ahead of this story or

54:11

maybe, you know, who knows what the

54:12

motivation here is.

54:14

But the reason they gave is that the

54:16

market conditions for late stage have

54:18

worsened dramatically and that the

54:19

valuations are still too high. Yes, the

54:21

rent is too high.

54:23

And that there aren't any exit options

54:25

as we just talked about with the

54:27

administration, no IPOs, no M&A.

54:29

And that VC map doesn't work in the late

54:32

stage. So, I'll just stop there. There's

54:34

a bunch of other notes here. Obviously,

54:36

this isn't the first time this has

54:37

happened. I think Founders Fund cut the

54:39

size of its eighth fund in half from 1.8

54:41

billion to 900 million. They didn't

54:43

actually give the capital back to VCs

54:46

like they're saying CRV did here. Again,

54:47

I'm not certain if that's what's

54:49

happened or not.

54:50

They put the extra 900 million into its

54:52

ninth fund if they decide to raise that,

54:54

which I'm assuming Founders Fund will.

54:56

Chamath, do you have any thoughts on

54:58

this?

54:59

I I guess trend We have two stories

55:02

here, so I don't know if you

55:03

Peter Thiel Peter Thiel did this and he

55:05

gave back

55:06

quite a large piece of his fund a couple

55:08

of years ago and then CRV just did it.

55:11

I I want to make sure I get the citation

55:13

right. I think it was Thomas Laffont at

55:15

Coatue

55:16

who said this. It was really powerful.

55:17

It made a huge impression on me, which

55:19

is that the Nasdaq creates about 800

55:22

billion dollars

55:23

of enterprise value a year. And he

55:26

brought that up in the context of

55:28

private markets have to exceed that in

55:30

order for it to be a real viable

55:32

alternative to just owning public

55:34

indices.

55:36

And so, if you factor in illiquidity

55:37

risk and the duration,

55:40

you have to probably generate, I don't

55:43

know, a trillion, 1.2 trillion dollars

55:45

of enterprise value in private tech

55:47

every year.

55:48

That just seems like it's really hard to

55:50

do. Where is all of that value getting

55:52

created?

55:53

So,

55:54

I think that venture needs to go through

55:56

a phase where it re-rationalizes. You

55:58

know, this is sort of what I said at

56:00

David's LP day, which is I think that

56:03

LPs have made a couple of very big

56:05

mistakes.

56:07

And I think the biggest mistake that

56:08

they've made is by smearing too much

56:10

money across too many general partners.

56:12

And I think if you had to redo it,

56:15

A, it's probably a lot less money in

56:18

total, but B,

56:20

and the example I gave there was instead

56:21

of giving $50 million to Craft and $10

56:24

million to somebody else, you're better

56:25

off giving $60 million to Craft and not

56:27

even having that other GP.

56:30

Because that GP makes everybody's life

56:31

complicated. They overpay, they mispay,

56:34

they're probably not supposed to be a GP

56:36

in the first place, and so they force

56:38

returns down.

56:40

And then when you contrast that again to

56:41

a public market that is systematically

56:43

creating

56:45

$800 billion of enterprise value a year,

56:49

this is an incredibly tough game and

56:50

it's getting much, much harder. Mhm. So,

56:53

I think that if you just take a step

56:54

back, these are the right things to do

56:56

because you're much better off having

56:59

a smaller pool of capital that you can

57:01

concentrate into the things that matter.

57:03

You're probably better off having

57:04

smaller teams versus bigger teams.

57:07

And you're probably better off trying to

57:10

forge LP relationships where they're not

57:14

doing 50

57:16

fund investments because it just makes

57:17

the entire industry lag

57:20

public liquid alternatives, and I think

57:22

that that's just not good. Peanut butter

57:24

getting spread a little bit then there.

57:26

Any thoughts Freeberg on

57:29

this trend, if we can call it that? It

57:31

or is this like maybe they're reacting

57:35

right as the market is changing and

57:37

valuations are getting more reasonable

57:39

and the exit opportunities are getting

57:40

more reasonable. It seems like this was

57:41

the right reaction 2 years ago, but

57:43

maybe it's the wrong reaction now. What

57:45

do you think, Friedberg? For a venture

57:47

firm to return capital, they need to

57:50

have at least one or two big winners.

57:52

And so if that winner needs to be a 10x

57:55

or a 20x or a 30x of the fund

57:59

because most of the other investments in

58:00

the fund are not going to work,

58:02

you need to be able to enter at a

58:04

reasonable price and there needs to be

58:06

enough opportunity relative to the

58:09

capital trying to invest in that

58:10

opportunity out there for it to make

58:12

sense. So in a market where there is

58:13

excess venture capital,

58:15

where valuations are at a premium,

58:19

and where you don't see the exit path,

58:21

the M&A or the IPO events that make

58:22

sense that you can actually realize that

58:24

model,

58:25

you should take less capital and make

58:28

fewer sure investments. And I think that

58:32

that's what it some folks have realized.

58:33

They don't want to be chasing

58:35

um you know, highly valued inflated

58:37

opportunities

58:39

and they don't want to be putting

58:40

capital into tier B

58:42

or tier C opportunities just for the

58:45

sake of deploying capital. This is a

58:47

really interesting moment where you can

58:48

kind of see

58:50

who are the the right folks in terms of

58:52

thinking long-term in Silicon Valley,

58:54

long-term in terms of building an

58:55

investment practice in private venture.

58:58

And maybe who are folks that are trying

59:01

to build their AUM stack. And folks who

59:03

have done reasonably well, like Founders

59:05

Fund has probably the most exceptional

59:06

track record in Silicon Valley as a

59:08

venture firm.

59:10

They are very cognizant of the market

59:12

conditions and I think that they're

59:14

being very smart. By the way, the other

59:15

thing I've heard from LPs is they're

59:17

similarly

59:19

trying to find more concentrated capital

59:22

themselves. So they're trying to put

59:24

more capital to work in fewer managers.

59:27

And so there's a real weed from the

59:29

shaft moment happening in Silicon Valley

59:31

venture right now. What I think a couple

59:33

years ago was hey, everyone's going to

59:35

go do a startup. A few years ago became

59:37

everyone's going to go do a venture

59:38

fund. And now I think the frost that has

59:40

occurred because of that is being

59:41

cleared out. And to just explain this

59:43

math before I get Sachs'

59:45

thoughts on this. If this was a $500

59:47

million fund, let's say they were

59:49

putting $25 million into each

59:52

we'll take management fees out of it.

59:54

$25 million into each opportunity at a

59:56

billion-dollar valuation they would own

59:57

2 and 1/2 percent obviously of those

60:00

firms. They need to get probably a $30

60:03

billion

60:05

power law exit a 30X acts in order to

60:08

just return the fund. There'll be some

60:09

dilution obviously along the way. That's

60:11

why it's not 20X. And the number of

60:13

companies that go from a billion to 30

60:16

billion

60:17

per cycle is incredibly low. Uber,

60:20

Coinbase, Airbnb.

60:23

I It's a really short list, huh? Sachs

60:25

in recent history?

60:27

Robinhood?

60:29

Look, just just go back to the CRV

60:31

thing. You said at the outset of the

60:33

conversation that this was either a

60:35

growth fund or an opportunities fund.

60:37

That makes a really big difference.

60:39

Explain, please.

60:40

Because well, an opportunities fund

60:42

typically exists

60:44

to back up your winners. In other words,

60:47

if the venture fund is producing some

60:49

big winners, the opportunities fund

60:51

exists to deploy more capital into those

60:54

into those companies. As opposed to a

60:56

growth fund, which is you'd be

60:57

underwriting brand new companies from

60:58

scratch. But typically an opportunities

61:00

fund is limited to companies that you're

61:01

already an investor in through your

61:03

venture fund.

61:04

So, that makes a big difference. I mean,

61:06

if CRV has a billion-dollar venture fund

61:08

and only a $500 million opportunities

61:10

fund, it may just be the case that they

61:12

don't need all of that capital to back

61:14

up the winners. They can do their pro

61:15

ratas out of the main fund. So,

61:19

I I suspect that that might be what's

61:20

going on. I actually think this is a

61:22

pretty good time to have a growth fund.

61:25

A lot of the

61:26

Well, because a lot of the crossover

61:28

capital has left the ecosystem. Okay. A

61:30

few years ago

61:31

and that sort of cohort, SoftBank,

61:33

Masayoshi Son. Yeah, well, Tiger and and

61:37

SoftBank are still around, but there are

61:39

other

61:40

very large investors, hedge funds, and

61:42

so on

61:43

who had come into the ecosystem with

61:45

billions of dollars a few years ago, and

61:46

now they've left. And some of those

61:49

funds that you're talking about, like

61:50

Tiger, used to be $10 billion funds, now

61:51

they're $2 billion funds. So

61:52

been right-sized. They're not violently

61:54

doing I mean, the the Tiger deals, my

61:57

understanding was they weren't joining

61:58

the board in a lot of the cases, and

61:59

they were outsourcing the diligence, and

62:01

that was a pretty violent pace. I don't

62:03

know all the details.

62:03

is the best time in probably five years

62:05

to have a growth fund. Hm, interesting.

62:08

But to to your point about the size of

62:09

the venture fund, the bigger the venture

62:11

fund, the bigger the winner that you

62:13

need to make that pay off, obviously.

62:15

Yes.

62:15

And so, because of the power laws, so to

62:17

take an example,

62:19

I don't know, let's say you've got a

62:20

billion-dollar venture fund.

62:22

Let's say that at IPO, you own 10%

62:25

of whatever that that winner is.

62:28

And because of the power law, your your

62:30

fund performance is really determined by

62:32

your best outcome, right? Yep. So,

62:35

in order to take a $1 billion venture

62:37

fund and say deliver a 3x, Hm. you know,

62:40

so 3 billion of returns, and your best

62:43

company you own 10% of, that implies you

62:45

have a $30 billion winner in that fund.

62:48

And there are precious few outcomes

62:50

where you have a $30 billion

62:54

IPO, right?

62:55

Yeah, I mean, you can count them on two

62:57

hands the last cycle, like I just did.

62:59

You got you got Uber, you got Robinhood,

63:02

you got

63:03

Coinbase, Stripe will eventually come

63:06

out. You got SpaceX. Well, that was two

63:08

cycles ago. So, I mean, Yeah, you're

63:09

going to need to have a meaningful

63:10

ownership position in a massive company

63:12

in order to make a fund that big pay

63:14

off. The the data that I think LPs look

63:16

at shows that smaller venture funds tend

63:19

to perform better for this reason. 500,

63:22

600 million dollar funds. So yeah, I

63:25

personally wouldn't want the pressure of

63:26

a billion dollar venture fund. That

63:28

would be really hard. As a five or 600

63:31

billion dollar venture fund, you kind of

63:34

need to have or want to have like a

63:36

decacorn

63:37

outcome to make that a great fund. But

63:40

to have to have a 30 billion dollar plus

63:41

outcome, it's it's even more difficult.

63:44

Moving on, Pew just published uh some

63:46

really interesting research on TikTok.

63:48

Uh if you don't know the Pew study,

63:49

they've been doing it for decades. It's

63:51

very well respected um and uh bipartisan

63:54

or non-partisan. Four in 10 US adults

63:57

aged 18 to 29 are now regularly getting

63:59

their news from TikTok. Here are some

64:02

charts for you to take a look at. As you

64:04

can see, the younger generation is

64:06

really spending a lot of time on TikTok

64:08

and getting a lot of their news there. I

64:10

know this because

64:11

uh yeah, I I've I've talked to a bunch

64:13

of kids about this and

64:15

people that use TikTok, 52% are

64:17

regularly getting their news from the

64:19

platform. And

64:21

that number has skyrocketed compared to

64:23

other social platforms. Take a look at

64:25

this chart. Here's X, 59% of people say

64:28

they get their news at X. It's really a

64:30

news platform, so that makes total

64:31

sense.

64:32

You look at Facebook, it's you know, 48%

64:35

right now. Reddit 33%, YouTube 37%.

64:39

In 2024, Instagram 40% but TikTok 52, up

64:43

from 22%. So it's no longer just dancing

64:45

and this is the reason I think many

64:47

people in the government

64:49

were concerned about the attack vector

64:52

that the CCP would have in the United

64:55

States since they still control the

64:56

company. For services like Snapchat,

64:59

LinkedIn and WhatsApp and Nextdoor, it's

65:02

below 20 below 30% get their news from

65:05

there. There's your Truth Social there

65:06

uh Sachs, 57% of people get news there

65:09

and Rumble 48%. So what do what's your

65:11

takeaway from from this? Just Sacks,

65:15

looking at it and this impact that

65:17

TikTok has, is this concerning on a

65:18

national security level since the

65:21

algorithm's a black box and you could

65:22

tweak it if you really wanted to to

65:24

really change sentiment and um young

65:27

people are obviously very impressionable

65:29

on this platform and they're big users

65:31

of it.

65:32

Well, I thought there was other data in

65:34

this study that should calm people's

65:36

fears that TikTok would somehow be used

65:38

as a political weapon. So, in the same

65:41

survey you're talking about, 95%

65:44

of adults that use TikTok say they use

65:46

it because it's entertaining.

65:48

So, that's the main reason people use it

65:50

and only 10% of accounts followed by US

65:53

adults post content related to political

65:55

or social issues. Okay, that's posting

65:57

and the main reason, right?

65:59

Yeah, but so so basically 90% of the

66:01

accounts that get followed aren't even

66:03

posting political or social issues.

66:06

They're there for entertainment as

66:08

people watching dance videos, as people

66:11

watching I mean

66:13

the main thing I use it for is to watch

66:16

wrestling highlights. So, uh You're a

66:18

wrestling guy?

66:19

Yeah, I'm a wrestling fan. What? Yeah.

66:22

You're into this Kabuki theater of

66:24

wrestling? This is new information. I've

66:26

known you for 20

66:28

I get my WWE on uh on TikTok. Cuz I

66:31

don't have to watch the whole Yeah, I

66:32

don't have to watch the Who's your

66:33

favorite? Are you a Hulk Hogan guy? Are

66:34

you an Undertaker guy? Vince McMahon? I

66:37

mean Jimmy Jimmy Superfly Snuka.

66:40

Who are you? Andre the Giant?

66:42

all those names, but I like I also loved

66:44

the Road Warriors.

66:46

Ultimate Warrior I loved. I I was a huge

66:48

wrestling fan. That was the one thing

66:49

that my dad and I

66:51

bonded over. We would watch wrestling

66:54

every Saturday. Sacks, did you ever

66:56

watch the the specials on Saturday

66:58

night? Like the

66:59

Oh, yeah. Oh, those are so great.

67:00

that was the era of Hulk Hogan, for

67:02

sure. Saturday Night's Main Event. Randy

67:05

Macho Man Savage. Savage yeah. Savage

67:08

is great. Yeah, I mean look, my my

67:09

all-time favorite was Stone Cold Steve

67:10

Austin. Stone Cold is great. I marked

67:12

out the hardest for Austin. He was he

67:14

was anti-woke before anti-woke became a

67:16

thing. Totally.

67:18

This is crazy. You guys are into

67:20

wrestling. And Flair I love wrestling.

67:22

I'd say Flair was number two for me.

67:24

Wait, wait, hold on. Have you gone to a

67:26

wrestling event? Did you Did you only

67:28

like the WWF at the time or did you like

67:30

the NWA as well? They had their moments.

67:33

When when Hogan turned heel and joined

67:35

the

67:37

the Was it the NWO? That was like a big

67:39

moment. I'm a big Andy Kaufman wrestling

67:42

fan. That was my only interest is when

67:43

when Andy Kaufman came in there

67:46

and

67:47

trolled them. But have you been Andy

67:49

Kaufman, yeah. That That was like in the

67:51

1970s, wasn't it? Or It was the late

67:53

'80s. Remember he was on David Letterman

67:56

with Jerry Lawler and he he comes to a

68:00

wrestling match, Zachs, in the South.

68:03

Well, that's where I grew up in my

68:04

hometown of Memphis. Right. So, he goes

68:06

there and he gets in the ring

68:09

and he says, "All of you rednecks, I

68:11

want to show you some new inventions.

68:13

This is called soap and this is called a

68:17

washcloth and you use it to clean

68:19

yourself." And he's like just mocking

68:23

the Southern accent and Jerry Lawler I

68:25

remember Jerry Lawler smacks him and on

68:28

Letterman Oh, it's the greatest thing

68:29

No, it was a huge deal, I mean, where I

68:31

grew up because that This was like on

68:33

the local news. Yes. When when I grew up

68:36

in Memphis, there was no professional

68:37

sports teams, okay? All we had was the

68:39

Memphis State basketball

68:42

and and wrestling every Monday night at

68:45

the Mid-South Coliseum. That was it.

68:46

That was like professional sports in

68:49

Memphis.

68:49

you also had probably like some state

68:51

fairs or, you know, like best goats,

68:53

best sheep or something. Lawler was so

68:56

popular that he could have been elected

68:58

mayor. In fact, I think there was talk

69:00

at one point of him becoming mayor. Wow.

69:02

the intergender champion Andy Kaufman

69:06

Did you guys like Mouth of the South?

69:08

Jimmy Hart? Oh, yeah, of course.

69:09

Yeah, he was amazing. He was like the

69:11

main heel manager for a while. Yeah.

69:14

Okay, so this is before the WWE took

69:16

over. I guess it was called WWF back

69:18

then. But there were all these little

69:19

fiefdoms and kingdoms and Mid-South

69:22

Wrestling was like one of those kingdoms

69:24

and Lawler was like the king of it and

69:26

then you had all these guys come in and

69:27

out and wrestle.

69:29

Friedberg, you ever watch wrestling? And

69:32

what do you think of this TikTok survey?

69:34

I don't watch wrestling. Okay. Very

69:36

good. And TikTok survey, anything worry

69:38

you? No. Any thoughts? Looks like they

69:41

gathered some reasonable data. Okay,

69:43

there you go. There's There's your

69:44

hard-hitting pod.

69:45

My point was that it's mostly an

69:47

entertainment app where people go to

69:49

watch dance videos, wrestling clips,

69:51

style influencers, and so on. And I

69:54

think that this idea that it's somehow a

69:56

propaganda tool around, you know,

69:58

programming our youth, I think that's a

70:00

moral panic that's been exaggerated.

70:02

What do you think the odds are that

70:03

TikTok

70:05

is hacked to allow you to passively

70:07

listen even when the app is not being

70:08

used? Zero.

70:11

You think it's definitively zero? No,

70:13

like 5%. I think that's very unlikely.

70:15

Yeah.

70:16

Because so someone said that that was

70:21

that was a there was some code that

70:23

enabled that in the early version of the

70:24

app and then some other people audited

70:26

it and they said they did not find

70:27

evidence that there was any technology

70:29

and Apple's got a very good audit system

70:30

for this. Did those same people audit

70:32

WhatsApp?

70:34

And then it turned out that it was Can

70:36

you passively listen? Yeah. Does

70:38

WhatsApp passively listen?

70:39

Yes, it's one of the It's one of the

70:40

most well-known breaches.

70:41

Or maybe they do. Maybe it's Maybe it's

70:43

5%.

70:44

certain that the CCP is using it cuz

70:46

they this people have tracked already

70:48

journalists using it. So if they've

70:50

already done it, it's 100%. I don't know

70:51

about the passive listening, but any

70:53

thoughts on 50% plus a lot people

70:55

getting their news here? Chamath, any

70:57

news on that? I mean, obviously, we

70:59

don't have evidence that it's being used

71:01

currently to manipulate people, but it's

71:02

over 50% of young people are now getting

71:04

their news there or say they're getting

71:06

their news there, so

71:07

I bet more than 50% of young people are

71:09

getting their news from podcasts, and

71:10

those podcasts get chopped up and

71:12

clipped, and then people watch them on

71:14

TikTok.

71:15

sure. I think I bet that's how it's

71:16

happening. There are a lot of people who

71:17

think this show is a TikTok show.

71:21

They don't know it's a big show, yeah.

71:22

We'll have to prepare for

71:25

a brave new world in the following way.

71:26

There was an article, I think it was in

71:28

the Wall Street Journal, that said that

71:30

Russia and Iran

71:32

were paying low-level street criminals

71:35

to create chaos.

71:37

Okay, and I and I read that article, and

71:39

I thought, okay, well,

71:40

what does this mean if you actually

71:42

extrapolate this, which is that

71:44

the

71:46

hot wars are very complicated, not worth

71:48

doing.

71:49

These

71:51

disruptive fissures are the better way

71:53

to sow chaos.

71:55

And it occurred to me then that, tying

71:57

this back to something that we saw

71:59

before, it does make sense for a lot of

72:01

folks

72:02

to sponsor a lot of long-tail content

72:04

that say a lot of different things. I

72:06

think that that just is pretty obvious.

72:09

And so, I think that if you put these

72:11

two ideas together, it stands to reason

72:14

that a lot of people

72:16

will be paying influencers a lot of

72:18

money

72:19

to create all kinds of content that is

72:22

specific to a perspective that they

72:24

have. And then top of that, if you can

72:25

algorithmically amplify one over the

72:27

other,

72:29

you know, you're you're going to have

72:30

issues. Is it the biggest issue in the

72:32

world? Probably not.

72:35

That is probably swing an election, but

72:37

it would cause chaos, and we just had

72:39

the Southern District of New York

72:42

target that Russian

72:44

Russia Today was giving $10 million to

72:46

four podcasters. They didn't even know

72:47

they were getting paid by the Russians.

72:48

They just picked them because they were

72:49

like their opinions, and they gave them

72:51

100,000 an episode to to promote

72:54

pro-Russian positions. If the Russians

72:57

were actually doing it, it's the

72:58

stupidest use of $10 million

73:00

ever because those podcasters already

73:03

had their own channels. They're already

73:05

putting out lots of content and this

73:06

other content is a drop in the bucket. I

73:08

think Jamath, the issue with what you're

73:10

saying is just there is so much content

73:12

out there already. People create it for

73:14

free. People create it you know, because

73:17

they're they have a career in it.

73:19

There's a whole long tail of

73:20

influencers. There is so much content

73:23

out there already through podcasts,

73:25

through websites. It's all being chopped

73:27

up that trying to do it as some sort of

73:30

disinformation strategy, I think it's

73:32

very hard to do because it's just when

73:33

there's billions and billions of of

73:35

impressions,

73:36

any effort that you try to engineer ends

73:39

up just being a drop in the bucket. I

73:40

agree with that.

73:41

So, that's the problem with it. It It

73:43

makes sense in theory, but it makes

73:45

sense in theory. It's very hard to do in

73:47

practice.

73:47

Yeah, the goal is not to win any

73:50

specific argument. It's to create

73:53

mistrust in the entire news ecosystem,

73:56

in the information system so that people

73:58

give up trying to figure out what the

74:00

truth is and that's what the Russians

74:02

are doing.

74:02

media is doing that on their own. The

74:04

mainstream media lies so much. That's

74:06

what's creating the distrust.

74:08

As are the Russians paying off

74:09

podcasters. Okay, let's give

74:11

million going to accomplish anything if

74:13

that story is even true? It makes no

74:14

sense.

74:15

Great question. May I answer it?

74:19

It's a great question.

74:20

theory. Not a conspiracy theory at all.

74:22

These are very low-level, mid like, you

74:24

know, tier B, C, D podcasters. If you

74:27

give them $100,000 per episode, they can

74:29

spend more money buying cameras,

74:31

promoting their shows, hiring people.

74:34

So, you're just finding people and

74:35

dropping money on their head so they can

74:37

do more of the same. So, it's a very

74:39

smart strategy in fact, I think. I think

74:41

it's the stupidest thing I've ever

74:42

heard. They they took podcasters who

74:43

were already successful and paid them to

74:45

release content through a less watched

74:48

channel.

74:49

That's the question.

74:49

Yeah, it was it was just more about

74:51

getting the money to produce more

74:52

content and then they in They're These

74:54

guys are already on. These guys are

74:56

already live streaming like 24/7. Oh,

74:58

there's a puppy. Oh, here he goes.

75:00

Freeberg trying to win more people over

75:02

with his puppy love. Unbelievable. This

75:05

guy is

75:06

absolutely ridiculous.

75:09

Unbelievable.

75:11

All right, listen. Let me give Sachs

75:12

some red meat here. He got He got his

75:13

little steak talk talk with my Russia

75:16

today story. Got your little

75:17

amuse-bouche and now I give you your

75:20

Tomahawk. You ready, Sachs? You want

75:21

your Tomahawk? You want it rare? Here it

75:24

comes.

75:25

2024 election update. The betting

75:27

markets and polling indicate a really

75:29

tight race, but maybe Trump is surging

75:32

this week. Polymarket, which is a

75:34

betting market, has Trump 55 to 45

75:37

versus Kamala. Calshee, another betting

75:40

market, 52-48 Trump.

75:43

Bovada and PointsBet, those are offshore

75:45

booking and Polymarket is also offshore.

75:48

52-48 Trump. Nate Silver, friend of the

75:51

pod, his algorithm has it 53-47

75:55

Kamala. RealClearPolling,

75:58

that's an algorithm, has Kamala with a

75:59

two-point lead. New York Times Siena,

76:02

Kamala with a three-point lead. Reuters

76:04

Ipsos, pretty well trusted, three-point

76:06

lead for Kamala. NPR PBS Marist poll has

76:10

Kamala with a two-point lead. So,

76:13

sportsbooks and betting markets are

76:15

favoring Trump slightly while the polls

76:18

are slightly favoring Kamala. Sachs,

76:22

I sliced it up nice for you. You got

76:24

nice 10 slices of meat here. Which slice

76:26

you going for?

76:28

Well, I think your

76:30

recitation of the polls there kind of

76:32

mixes up a couple of things. There's

76:33

popular vote polls and then there's

76:35

electoral college, which goes state by

76:37

state. If you look at pretty much now

76:39

all the the pollsters, you look at Tony

76:42

Fabrizio, you look at Real Clear

76:43

Politics, they're now showing that Trump

76:46

is winning the Electoral College right

76:48

now. He is up in almost every swing

76:50

state, including, I think, Michigan,

76:52

which is pretty surprising. Clearly,

76:54

there's been a huge swing towards Trump

76:57

over the last week or two.

76:59

And look, there's still 25 days to go,

77:00

so anything could happen. I don't want

77:01

to overstate this, but yeah, this is a

77:02

good example right here showing that

77:04

Trump now has a lead in every swing

77:06

state.

77:06

is is 296 to 242. What is Fabrizio?

77:11

He's just a Republican pollster, but his

77:13

accuracy is pretty high.

77:14

heard of

77:14

Fabrizio.

77:16

Well, another guy who I think is more

77:18

neutral is Mark Halperin, who is a

77:20

pundit who has been very accurate this

77:23

election cycle. Remember, he's the one

77:24

who broke the scoop that Biden would be

77:27

replaced by Harris. And he even said

77:29

exactly when it would happen.

77:31

And uh he predicted it down to the day.

77:34

He was exactly right about that. And if

77:36

you follow his account, he is now saying

77:39

that both

77:40

Republican and Democrat insiders that he

77:43

talks to are both saying the same thing,

77:45

which is their internals are now showing

77:47

Trump ahead

77:49

in every swing state or almost every

77:51

swing state. And uh things seem to be

77:53

breaking Trump's way right now. Again,

77:55

there's 25 days left, but if you're

77:57

wondering why is Harris all of a sudden

77:59

doing interviews, it's because their

78:02

internals started showing that she was

78:03

in trouble. So, they decided to get her

78:05

out more.

78:06

And or is it the other way? Is it that

78:08

the her

78:09

how her starting interviews or whatever

78:11

are causing her to lose votes?

78:12

Well, yeah, exactly. Well, so, you know,

78:14

Which one is it do you think? Cuz I

78:15

don't know when I don't have the dates

78:16

of all these polls versus that.

78:18

No, I think it's I it's it's what I

78:19

predicted a couple of months ago. It's

78:20

the doom loop. So, what I said 2 months

78:22

ago is that if Harris gets behind, she's

78:25

going to have to abandon this sort of

78:27

basement strategy of not doing

78:28

interviews. She's going to have to start

78:29

doing interviews. The problem is she's

78:31

not good at interviews, and if she does

78:32

more interviews, she's going to fall

78:34

further behind in the polls, and it

78:35

could cause a doom loop. So, that's

78:38

where we appear to be right now. I said

78:39

that on August 30th. Okay.

78:42

Chamath, your thoughts? I think that

78:44

Donald Trump is basically stuck to his

78:46

strategy, which is

78:48

he is

78:50

a generational retail politician.

78:54

I just heard parts of what he did with

78:57

Andrew Schulz.

78:59

Another great sort of, you know,

79:01

podcast.

79:02

I think David's right

79:04

that the editing and the massaging of

79:06

the Kamala Harris talking points

79:09

are

79:11

galvanizing the people that have already

79:13

decided and turning off the people that

79:14

have already decided to vote for Trump,

79:16

and she's losing the folks in the

79:17

middle.

79:18

And so, this is what's causing her to

79:20

have to be out there. And and she's

79:22

going to have to deliver a very crisp

79:26

message and I and I think that right now

79:28

it's been a little bit lacking, which is

79:30

why you're seeing the polls

79:33

at least the Electoral College, which is

79:34

really what matters at this point, turn

79:37

Trump.

79:39

So, she's going to have a bit of an

79:41

uphill fight between here and November.

79:43

The other thing I'll say is that if

79:44

you've seen what's happening in the

79:46

appellate court, it's not clear whether

79:48

the the Trump

79:51

case is going to get overturned before

79:52

the election, but if that does

79:55

that could be very meaningful momentum

79:57

for him.

79:59

And then I think the third thing is that

80:00

we should now

80:02

buckle in because if the last two

80:04

elections are any guide

80:06

there are going to be a bunch of

80:09

spanners in the works between now and

80:11

November.

80:11

Wait, what did you say? Spanners?

80:13

Spanners in the works. Yeah.

80:15

What does it mean?

80:15

Wrench What What do you call it? Wrench

80:16

in the system? You mean like an October

80:18

surprise? You mean like some crazy turn

80:20

of events? Okay. Freeberg, any thoughts

80:23

here? Would you like to Rorschach test

80:25

this and see what you want in the

80:26

numbers? Or do you have some objective

80:28

thoughts here? What is What's your

80:31

What's your take?

80:32

You know, there's

80:33

polling data? Or yeah, where we're at in

80:36

the election. You know, pretty

80:37

open-ended here. You can look at the You

80:39

can make a note on overall what you see

80:42

between the betting markets and the

80:44

polls and that

80:46

disparity. You could just talk generally

80:48

about where you think we are. You could

80:49

talk about Kamala on Howard Stern and

80:52

doing a bunch of interviews with

80:53

friendlies. Where where you at right

80:55

now? I didn't see her interviews. Okay.

80:57

I saw some excerpts on Twitter.

80:59

Oh, boy.

81:01

Yeah. Let me just follow up on a point

81:02

Chamath made. Chamath said that she had

81:04

to be crisp.

81:05

If you look at any of these interviews,

81:07

they're the opposite of crisp. She's

81:08

asked softball questions by by like

81:10

Stephen Colbert saying, "Why you running

81:12

for president? How are you different

81:13

than Joe Biden?" Yeah. And she doesn't

81:16

have good answers. She starts free

81:18

associating. She gives these very

81:19

long-winded answers that don't go

81:21

anywhere. She says she can't think of a

81:23

single way she's different than Joe

81:25

Biden when when pushed on that.

81:27

It's very strange. These are questions

81:30

the most favorite shows. I wish she

81:31

would do some challenging shows. I think

81:32

she's got to do Joe Rogan, All-In,

81:35

and um what would be another good

81:37

podcast for her to do, Chamath, if she

81:39

really wanted to like do the adversarial

81:41

thing or something more Why doesn't she

81:42

do an adversarial Why doesn't she do an

81:44

adversarial? Just come to All-In. Come

81:46

and have a conversation.

81:46

Come and have a normal conversation

81:48

here, yeah. No, I'm just thinking like

81:50

it seems like

81:52

Sacks, if she comes and has a has a

81:53

conversation,

81:55

you'll be respectful. Yeah. This whole

81:58

idea that I didn't treat Cuban

81:59

respectfully is nonsense. Just watch the

82:00

tape. I don't even think he thought

82:02

that. No. I don't know what Somebody

82:04

Somebody asserted that.

82:06

No, I mean I the

82:08

I all If you look back on every single

82:11

presidential related one we did here,

82:12

they were all respectful and they were

82:14

all conversations. I think the Cuban one

82:16

dipped because of both of you into a bit

82:18

more of a debate and it was a lot more

82:20

crossover than the other ones.

82:22

But that's what you wanted. Yeah, yeah,

82:23

no, no. I I agree. I'm referring back to

82:25

him as style.

82:25

come out. He he to do his thing. Yeah,

82:27

that's exactly what we wanted. You look

82:29

at all the other ones. I'm trying to

82:30

think of a moment where it

82:32

If you look at the other Dean B.

82:33

Phillips, Chris Christie,

82:36

Vivek Boring. Got to go. Love you guys.

82:39

All right. We'll see you guys later.

82:40

This has been another amazing episode of

82:42

the All-In podcast. Episode 199. Make

82:45

sure you go to allin.com/meetups.

82:48

Make sure if you're starting a company

82:49

you go to founder.university. If you're

82:51

an engineer, please go to I'm doing

82:54

whatever the I please. David Sacks,

82:56

make sure you go to um Super good. Glue

82:59

AI if you're an engineer. And if you

83:01

like potatoes, go to ahallo.com and

83:04

order your potatoes. Pre-order a

83:05

subscription. I mean, if we're doing

83:06

ads, sell some Let's sell some super

83:08

good.

83:09

Palihapitiya, 80908090.

83:11

Go to 80908090.

83:13

We'll see everybody next time on the

83:15

All-In podcast. Love you boys. Bye-bye.

83:17

Bye-bye. Bye. Catch you.

83:20

Let your winners ride.

83:23

Rain Man David Sacks

83:27

And as I said, we open sourced it to the

83:29

fans, and they've just gone crazy with

83:31

it. Love you guys. My queen of Kindred

83:40

Besties are back.

83:43

That is my uh dog taking a dump in his

83:44

driveway, Sacks.

83:48

Oh, man.

83:49

Sacks should meet me at the London So,

83:50

we should all just get a room and just

83:52

have a one big huge orgy cuz they're all

83:53

just useless. There's like this like

83:55

sexual tension that they just need to

83:56

release somehow.

83:58

Wet your beak.

84:00

Wet your beak. Wet your beak.

84:03

Wet

84:04

We need to get merch. Besties are back.

Interactive Summary

This episode of the All-In podcast discusses the recent hurricane activity in Florida and North Carolina, analyzing the climate science behind ocean warming and the economic implications for insurance and real estate. The hosts also celebrate the Nobel Prize win by DeepMind's AlphaFold team, discuss the DOJ's antitrust case against Google, and review the current state of venture capital with CRV returning capital to investors. Finally, the group shares their perspectives on the 2024 election polling and betting market trends.

Suggested questions

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