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Home Affordability Crisis, Palantir's Advantage, Big Short on AI, H-1B Abuse, Solar Storm Hits Earth

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1540 segments

0:00

All right, everybody. Chamath is here.

0:02

I'm here. Freeberg's here. But Saxi

0:05

Pooh, he was up late at the White House.

0:07

We'll show some pictures later. He

0:08

couldn't make it today. But let's get

0:10

started. We wanted to get you a show and

0:12

we wanted to get it to you on time for

0:14

your weekend. Let's start with Michael

0:15

Burin short. So, you guys know obviously

0:18

Michael Bur, he's the capital allocator

0:20

from the big short and uh he just

0:22

dregistered his firm with the SEC. He

0:25

made a big bet against AI and Palunteer.

0:28

He disclosed the shorts against

0:29

Palanteer a couple weeks ago. They

0:32

weren't huge. CNBC apparently reported

0:36

that the value was like 900 million. Bur

0:38

says CNBC was wrong that it was just 9

0:41

million. But he had a really interesting

0:44

accusation and it's related to what

0:46

we've been talking about here on the

0:48

show with the buildout of

0:51

>> can we I'm sorry but can we just talk

0:53

about the complete and total financial

0:55

illiteracy of the mainstream media?

0:58

>> How do you how do you confuse 9 million

1:01

and 900 million? How do you do that?

1:03

>> I think maybe it's the cost of the

1:06

shorts versus the value of the stock

1:09

that the shorts represent. No, it's

1:11

because there's a 100 shares per option.

1:14

So they were

1:14

>> Oh, I see. Yes, because the options have

1:16

100. Of course,

1:16

>> they applied a multiple and they got it

1:18

wrong. Got it. It was Yeah.

1:19

>> So the math the calculator

1:22

is they got calculator.

1:24

>> It's not that they got the calculator

1:25

wrong. It's just that they're so

1:26

uninvested

1:29

in assets that they don't know how asset

1:32

markets work, I think, is the more

1:33

logical explanation. Meaning, if you've

1:35

ever bought a home, you probably know

1:37

what people are talking about when

1:38

they're talking about financial elements

1:41

related to a home. But I guess if you've

1:43

never owned a stock or you've never

1:45

>> hedged a position or had an option, you

1:47

don't really know how any of it works.

1:49

But then the problem isn't the person

1:51

that wrote it. Then there's no facteing

1:52

and the whole thing just gets an entire

1:54

news cycle on its own. Which by the way

1:56

helped his short and it never should

1:59

have because if you heard that some

2:02

random dude had a $9 million bet against

2:06

the market, you would think nothing of

2:08

it. But then to manufacture a headline

2:10

about [clears throat]

2:11

>> somebody

2:12

>> That's a good point.

2:13

>> who had a moment. It was almost 20 years

2:15

ago, but whatever. He had a moment where

2:17

he was kind of right. is short the

2:19

market and you get it two orders of

2:21

magnitude wrong. That seems quite wrong.

2:23

>> Yeah. And to your point, there is a

2:26

ramification of it, which is it created

2:29

a headwind against the already AI bubble

2:33

which was deflating after Brad Gersonner

2:36

popped it.

2:37

>> I'll take a walk down conspiracy corner.

2:40

Maybe the actual person is not

2:42

economically illiterate but the exact

2:44

opposite and then writes the error on

2:46

purpose knowing that whoever has to

2:47

review it has absolutely no idea what

2:49

they're talking about and then they

2:50

themselves are short. So, I wonder if

2:52

CNBC should investigate

2:53

>> whether this person actually had a trade

2:55

on

2:56

>> Oh, there you go. Conspiracy corner.

2:57

Let's get our Tim File House.

2:59

>> The individual.

2:59

>> You're either a complete and you

3:01

don't know how the financial markets

3:03

work, in which case you probably should

3:04

be working at some other media outlet,

3:06

not CNBC, covering the markets, or you

3:10

know how well they work and you know the

3:11

people above you have no idea. And so,

3:13

you yourself shorts the market. You're

3:16

basically copying the Bur trade, but

3:19

then you rewrite the headline to look

3:21

like it's two orders of magnitude

3:23

bigger, which actually could have moved

3:25

the market if you saw a yard short. I

3:29

mean, yeah, like that would have

3:30

probably gotten my attention had I read

3:32

it. A billion dollars is, you know,

3:34

reasonable position to have. He was

3:36

accusing also, he's got the Palenter

3:39

short, but on the AI side, he was

3:40

saying, "Hey, Meta and Oracle have been

3:42

cooking the books with 176 billion in

3:45

hidden depreciation to inflate earnings

3:47

by over 20% in 2028." And so, here's the

3:51

chart. Basically, we've talked about

3:52

what is the the reasonable life of an

3:55

H100 of, you know, an Nvidia chip or

3:58

really an Nvidia server if you think of

3:59

it that way. You know, do do these

4:01

things have a threeyear lifespan, a

4:03

four, five, six year lifespan? core

4:05

weave might be putting them at six-year

4:07

um and that dramatically changes your

4:10

expenses which then of course given the

4:13

scale of the data buildout uh the data

4:16

center buildout could radically change

4:19

your earnings uh because dividing the

4:24

cost of a data center that cost 100

4:26

billion by six or three is you know 2x

4:28

so your thoughts free yeah so just to go

4:31

into accounting corner it's our most

4:33

favorite but least often visited a

4:35

corner here on the all-in podcast.

4:37

>> Get your pencils.

4:39

>> Yeah. So, in accounting, we need a we

4:40

need a jingle for accounting corner.

4:42

>> Sharpen your pencils. Get your

4:44

calculator.

4:44

>> Under GAP standards, these generally

4:46

accepted accounting principles.

4:49

When you report your operating expenses

4:51

every quarter as a public company or GAP

4:54

filer, you take your capex, anything

4:57

that you know you make a big investment

4:58

in and you depreciate it over some

5:00

lifetime. And there's an accounting

5:02

process by which you can do an internal

5:04

review and determine that if your

5:05

depreciation schedule doesn't actually

5:08

map to reality, you should make an

5:10

adjustment. And so there's a periodic

5:12

assessment that's done to do that. And

5:14

just to give you a sense to your point,

5:15

Jason, on the math, Google in the last

5:17

12 months made $120 billion in operating

5:21

profit. Okay? And let's assume they're

5:22

making 70 billion in capex this year.

5:26

That capex does not get deducted from

5:28

their operating profit when they report

5:29

earnings. You take the 70 billion and

5:32

you divide it by what's called its

5:33

useful life and you report that every

5:35

year. So if you do it over three years

5:38

to your point it's about 24 billion a

5:40

year versus 6 years it's 12 billion a

5:42

year. So that would impact the operating

5:44

profit by on the order of call it 10%.

5:47

if it the difference between three and

5:49

six years. And so what Michael Bur is

5:50

saying is that all of these hyperscalers

5:53

have extended their depreciation

5:55

schedule or the useful life of their

5:57

data centers by roughly 2x which cuts

6:01

the operating costs in half when they

6:03

report it in earnings and so it's making

6:04

their in earnings inflate. So he's

6:06

claiming they're cooking the books. But

6:08

if you go back to the chart that you

6:10

showed or I can just speak to this,

6:12

Google first made this change in Q1 of

6:14

21 where they said the servers are now

6:16

going from 3 to four years. The chart

6:18

shows the combination of servers and

6:20

networking equipment. Separately in

6:22

2021, Google took networking equipment

6:24

from 3 to 5 years and then in 2023 they

6:26

took it from 5 to 6 years. And so this

6:28

is a result of this effort where they

6:30

went in and did an analysis. So what

6:32

happened? What happened in the data

6:34

centers is that the data centers

6:35

transitioned from being primarily data

6:38

storage and data transfer systems where

6:41

you would use hard drives and RAM and

6:43

memory to store data and then transmit

6:45

it back out to being data processing

6:48

centers because of the AI boom. So as AI

6:51

became more important in the data

6:52

center, more of the dollars that are

6:54

going into data centers were allocated

6:56

towards chips from data storage which

6:59

initially was hard drives and you throw

7:00

away the hard drives every 18 or 36

7:02

months and then solid state memory.

7:04

Solid state memory would last 2 years,

7:05

four years, 6 years depending on the

7:07

type of memory you're using and RAM and

7:09

RAM had this kind of variable lifetime

7:10

as well. And then suddenly when you put

7:12

these processors in to process the data

7:14

to do AI, that's the majority of the

7:17

spend and the majority of the energy is

7:18

going towards the processors. So if you

7:20

pull up this clip, this is Google's head

7:22

of AI and infrastructure

7:25

speaking at a conference here recently.

7:26

>> Where are we do you think in the capex

7:29

spend cycle but more importantly what

7:32

are the signals that you guys use

7:33

internally right in your thinking? I

7:36

mean you have to plan data centers

7:38

whatever four five years in advance you

7:40

have to buy nuclear reactors and

7:41

whatnot. So how do you think about the

7:45

demand signals as well as your

7:46

technology signals and G2 same thing for

7:49

you but from the point of view of

7:51

enterprise and neo clouds etc.

7:54

uh we're early in the cycle is uh what

7:56

what I would say certainly relative to

7:58

the demand that we're seeing our

8:00

internal users are uh we've been

8:02

building TPUs for 10 years uh so we have

8:04

now seven generations in production for

8:06

internal and external use our seven and

8:10

8y old TPUs have 100% utilization

8:13

>> and I think that's the key part that's

8:15

been going on I've I I made some calls

8:17

and I checked around with some other

8:18

friends and everyone says the same thing

8:20

that these seven and 8year-old TPUs and

8:22

GPUs that are sitting in the data

8:24

centers are still being used and they're

8:26

being used at 100% utilization. So that

8:28

actually justifies and validates the

8:30

depreciation schedule being much longer

8:33

versus shorter. And I actually think

8:34

Michael Bur's got this wrong.

8:38

>> Jimoth, what do you think? You're

8:40

involved in obviously inference. How

8:42

long will the Grock inferences be out

8:45

there doing jobs? And it does seem like

8:48

to Freeberg's point and the gentleman in

8:50

the video that there are other jobs to

8:52

do, right? Like so as these things move

8:54

down the life cycle, there'll be

8:56

something for them to do. When would you

8:58

actually unplug them, I guess, is the

8:59

question, and stop using them.

9:01

>> The business models of these companies

9:03

are just far too good for them to get to

9:06

the point of having exhausted every

9:09

other operational

9:11

tactic that then they have to cook the

9:13

books. These are not the seven companies

9:15

that are going to cook the books.

9:16

>> Yeah. The practical thing that's

9:19

happening that Michael is not technical

9:20

enough to understand is that there are

9:24

meaningful iterations in how kernels are

9:26

working in how the intention mechanisms

9:29

of these models are being rewritten in

9:31

how people are swapping out HBM for

9:34

SRAMM in these designs in how they're

9:37

building in some cases really huge dies

9:40

in some cases much smaller chiplets all

9:42

of this creates more and more

9:45

utilization So these things last longer

9:48

and they also need more. I think that in

9:51

order to make these accusations, you

9:53

need to have some modeicum of technical

9:54

grounding that I don't think he has.

9:56

Here's the thing with shorts in general,

9:58

which I don't like shorting. So let me

10:00

just say this. There's supposed to be a

10:02

check on

10:04

financial malfeasants, but it's not

10:07

that. When you look at these

10:08

shortselling firms, for every one of

10:11

them

10:12

that actually uncovers malfeasants, what

10:15

it really is is them creating chaos and

10:19

innuendo

10:21

under the guise of their right to free

10:23

speech. And what they do is they put out

10:25

some screed that tries to move the

10:27

market. They're positioned against the

10:30

stock before it comes out and then they

10:32

hope to close the position out and make

10:33

some money. I think that's a just a

10:36

pretty sad and terrible way to live

10:38

one's life, but it's legal and so you're

10:40

allowed to do it. It almost makes no

10:42

sense for Michael to become technically

10:45

literate because he probably wouldn't

10:47

have written it. So, and to your point,

10:50

the fear, uncertainty, doubt you can

10:52

create if you're Michael Bur if you did

10:55

the big short and you shorted the

10:56

housing crisis correctly. Now, that took

10:58

two years for him to be correct. So,

11:00

these things are painful to execute on

11:02

in his defense. We don't make any money.

11:04

Look, outside of my venture fund, I ran

11:05

a hedge fund for I don't know 7 years, 8

11:08

years, and here are our longs, okay? We

11:13

And you can find these clips on the

11:15

internet, you know, Tesla in 2015,

11:18

Amazon 2016,

11:21

Salesforce 2018,

11:24

just tagged it. And you know how much

11:26

money I made on the short side? Because

11:28

we always felt like we had to hedge. And

11:30

so what we would do is we would bumble

11:32

around looking for shorts. Never made

11:34

any money. The one short we found was a

11:36

wireless telecom operator and it was a

11:38

legitimate fraud. Its company's

11:40

corporate address was a pizza parlor in

11:42

Barcelona.

11:43

>> Diversified revenue streams.

11:45

>> Otherwise, my point is it's just that

11:47

shorting is just somebody's ability to

11:50

cry fire in a theater. Quite honestly,

11:53

it's extremely hard to impossible to

11:55

commit financial fraud as a public

11:57

company in 2025.

12:00

I guess the other shirt we should take a

12:02

look at is the Palunteer one because

12:03

Palunteer is man it's way out there.

12:07

Alex Karp has been doing some great

12:09

interviews. He's a national treasure.

12:11

Incredibly entertaining. They obviously

12:13

have a great business. They're on a $3.5

12:15

billion run rate according to their last

12:19

quarter. But the valuation is $480

12:23

billion. This puts them at 137 times

12:26

their sales. It is extraordinary. It's

12:28

way out there. Data dog and snowflake.

12:32

Microsoft, you know, these are at uh 13

12:36

times their sales.

12:39

And I guess Cloudflare is out there at

12:41

37 and Crowd Strike at 30. So this is

12:44

truly an outlier. Freedberg. If you were

12:47

to give Palunteer the same price to

12:50

sales ratio as some of those highly

12:52

valued ones, probably be a 6070 billion

12:55

company, $29 a share instead of $170.

12:59

So,

13:01

what do you think of his Palunteer short

13:03

Freedberg?

13:04

>> Based on the statement you just made,

13:06

you're saying that a company is worth

13:08

their historical sales numbers. And I

13:11

don't think that that's how shareholders

13:14

often do or perhaps should think about

13:16

what they're buying, which is an

13:17

ownership interest in the future of the

13:20

enterprise that they're buying a piece

13:21

of. When you invest in a startup, you're

13:24

not saying, "Hey, that startup is worth

13:25

what the employees did last year before

13:28

they even started the company." You're

13:30

making a bet on the future potential of

13:32

the business and what you think the cash

13:34

generation over time will be. Your time

13:38

horizon may be different than mine. And

13:39

that's how a market finds a price. Uh as

13:42

a result, I think there's probably a

13:44

market trying to find a price for

13:45

Palunteer where folks have a great deal

13:48

of difference in opinion over what the

13:51

future potential of the business is and

13:54

as a result what the earnings generation

13:56

will be at different time scales in the

13:57

future and that's how they're getting to

13:59

the current market price. Who am I to

14:01

judge? I am the person who would make my

14:03

own decision of my own time scale and my

14:05

own estimation of the future of that

14:07

business if I were putting my own

14:08

capital into the business. I've not

14:10

studied the business well. I don't have

14:12

a strong point of view or opinion on the

14:13

value of the business relative to its

14:15

future earnings potential. That's how I

14:17

would look at it. I would make an

14:18

investment for the long term if I were

14:20

to buy the shares, not look at the last

14:22

year's numbers and say that there's a

14:24

valuation arbitrage opportunity and

14:26

that's what I'm buying. So, you know, to

14:28

each their own. Over time, the market

14:29

corrects itself as they say, you know,

14:32

it um it's a voting matter today and

14:34

it's a weighing matter in the future.

14:36

That's Warren Buffett's famous quote

14:38

that the actual earnings generation in

14:40

the future will determine whether

14:41

someone paid a good price or a bad price

14:43

depending on the point at which they

14:45

bought in the past. Meaning at 400

14:48

billion market cap, you could be getting

14:49

a steal or you could be significantly

14:51

overpaying.

14:53

That's going to be based on your

14:54

assessment, your judgment as an

14:55

investor. And I think people are looking

14:58

at like 30 to 45% year-over-year growth

15:01

Shimath and saying, "Yeah, it's got a

15:03

lot of to fill in that valuation would

15:05

just take a lot of growth. Maybe the

15:07

growth accelerates." We saw that with

15:08

Nvidia, right? They they started to have

15:11

unprecedented growth. Any thoughts on uh

15:13

Palunteer short while we move on to our

15:16

next subject?

15:16

>> Well, I think the Palunteer short is

15:18

stupid and I think that those people

15:20

will lose money. The thing with all of

15:23

these other companies, put your chart up

15:26

there. The thing that the people that

15:28

are shorting this company don't

15:30

understand is that all of these other

15:33

businesses that you put up there, there

15:35

is a viable competitor of some kind that

15:38

you can switch to.

15:41

And so what I would say is the opposite

15:43

of what they're saying, which is you

15:46

have a low multiple to sales when the

15:50

churn risk is higher.

15:52

So look at the one with the lowest

15:54

multiple to sales, MongoDB. There's 90

15:57

versions of what MongoDB does. I'm not

15:59

going to say whether MongoDB is good or

16:00

bad. It's actually a good company. It's

16:03

an extremely well-run business, but it's

16:06

not unique. It's just extremely

16:08

well-run.

16:10

Snowflake is not unique, but it is

16:12

wellrun. Palunteer is both unique and

16:15

well-run, and there's no clear

16:17

alternative. So there's no place to turn

16:19

to. And so I think the reason why it has

16:21

a premium valuation is because the

16:24

duration and the durability of these

16:26

cash flows are much longer than what you

16:27

typically see in any of these other

16:29

companies. And if people took 1,000th of

16:32

a second to actually use their brain,

16:34

they'd come to that conclusion.

16:36

>> Lack of competitors would be the reason

16:37

you think it's uh more defensible.

16:39

>> By the way, I'm neither long nor short.

16:41

I was long in the private markets. I I

16:43

was an investor in the series B pounder.

16:45

I'm not long anymore. I wish I was, but

16:47

I'm not. So it's not like I have a

16:48

vested interest in this being right. But

16:49

it's just so obvious that what they do

16:52

is completely unique and completely

16:53

differentiated. There is no alternative

16:55

in the market for it. That's why they

16:56

trade such a huge premium to sales. And

16:58

if you look in any market for any

17:01

product that is unique and is

17:03

effectively

17:05

where they are the only competitor for

17:07

what they offer, you will see an

17:09

equivalent market dynamic like this.

17:12

And there is no competitor to the

17:15

greatest holiday party ever happening

17:17

December 6th in San Francisco. Come with

17:20

your besties.

17:21

>> God, I'm such a bad mood. I have I've

17:22

gotten no sleep. I'm so tired.

17:24

>> I know. I'm cranky. You're cranky.

17:26

Spanky. You're in a bad mood.

17:28

>> I couldn't sleep. Sax goes in the back.

17:30

Sax sleeps. He's like fresh as a daisy.

17:32

When we land, by the way, when we

17:34

landed, the winds in San Francisco, I

17:36

don't know what's going on. We landed in

17:37

Oakland. Holy man. It was like a

17:40

category 4 hurricane going on in the

17:43

West Coast this week.

17:44

>> Unbelievable.

17:45

>> You were coming in, of course, from the

17:47

West Coast. You were uh I guess in DC

17:50

meeting with uh I don't know. Oh, you

17:53

had some business meetings there or some

17:54

uh political meetings.

17:55

>> Oh, you can you can Let's play Where's

17:57

Waldo? Here, Nick. Post the picture. You

17:58

can see you see Where's Waldo?

18:00

>> Here's the picture. Okay, we got a

18:02

picture here.

18:02

>> No, no, Nick. Zoom out. Zoom out.

18:05

>> Yeah, to the zoom out photo

18:06

>> there. Where's Waldo?

18:08

>> Oh, let's see. Okay, here's a bunch of

18:09

people in the White House.

18:10

>> Bill Aman. Bill Aman is right in the

18:12

back. You can see his hand right beside

18:14

Nats.

18:15

>> That's Ken Molus, obviously. Steve

18:17

Schwarzman, me

18:18

>> Bergam.

18:19

>> Look at you all the way.

18:20

>> Great guys. Will Mcdana. Yeah. Yeah.

18:21

Yeah.

18:22

>> Well, one of these guys is not like the

18:23

other.

18:26

>> Yeah, it was awesome. What happened was

18:28

we were having dinner and then he said

18:30

at 9:45 I'm going to go down to the Oval

18:32

and sign the bill to reopen the

18:33

government. He said, "Do you guys want

18:34

to come?" So, we all came. All was just

18:37

>> when you say you were having dinner, you

18:38

and Nat were having dinner with the

18:39

president.

18:40

>> No, no, no. He was hosting a dinner for

18:42

financial leaders

18:43

>> and you were there.

18:44

>> We were invited. It was cool.

18:44

>> The dinner. Very nice. So, you went to

18:46

dinner with the president and um Yeah,

18:48

that will that looks like almost as

18:50

amazing and extravaganza as the

18:53

>> I got a cologne. You know the cologne

18:54

where he sprayed it on?

18:56

>> Yeah. He's spraying it on foreign

18:57

leaders. They come in, he sprays it on

18:59

them, and uh then they're allowed to

19:00

come in the White House. Me and Steve

19:02

Schwarzman got we got we got a push push

19:05

on both on both sides of the neck and we

19:07

got

19:07

>> Trump carrying the cologne with him and

19:09

spraying people at the dinners.

19:10

>> No, after the press conference was done

19:12

and he reopened government. He's like,

19:13

"Hey, you guys want to come back?"

19:14

>> I think they should have like a little

19:16

um gift shop at the White House with all

19:18

the Trump stuff, the stakes.

19:19

>> I will be honest with you, it smells

19:21

very good.

19:22

>> Oh. So anyway, come to the holiday

19:24

party. It's going to be a blast. There's

19:25

a couple of tickets left, not many. So,

19:26

we're going to burn it down this year

19:28

with our bestie Tony Hinch Cliff. Casino

19:31

night with poker. We got a celebrity DJ

19:33

coming. Freedberg's going to be on the

19:35

ones and twos.

19:36

Allin.com/events.allin.com/events.

19:41

And hey, the tequila has shipped. So, if

19:44

you bought tequila, we started shipping

19:46

the tequila bottles. Thank you to

19:48

everybody for your patience. We were

19:50

getting the bottles, but uh David, it

19:51

seems like um the bottles have uh

19:54

started to ship. Yeah, people are

19:55

feeling pretty good about it.

19:57

>> Yeah, it's exciting. I think

19:59

>> very exciting.

19:59

>> The world's greatest tequila is going to

20:02

be uh surprisingly wellreceived.

20:04

>> Okay, from the number one podcast in the

20:06

world with the world's greatest

20:06

moderator. All right, listen. There is

20:08

an affordability crisis. We talked about

20:10

it here for the last couple of weeks.

20:13

Last weekend, the Trump administration

20:15

floated a pretty wild idea of a 50year

20:18

mortgage that would ostensibly cut

20:22

payments, monthly payments by 20 30%.

20:25

And maybe theoretically uh boost home

20:28

ownership and we'll we'll discuss this

20:31

uh in depth here for young people. The

20:33

idea was slammed by many people in MAG

20:36

is saying, "Hey, this is debt slavery

20:38

and it's going to triple the lifetime

20:40

interest. you can just be paying through

20:41

the nose for your entire life and you'll

20:43

be an indentured uh servant. Politico

20:46

said the idea was brought about by FHFA

20:50

director Bill Py. Py tweeted that the

20:53

FHFA was quote actively evaluating

20:56

portable mortgages. Now, this is a

20:58

really good idea. That means you can

21:00

take your mortgage with you if you go

21:01

buy another home if you upgrade a home.

21:03

That would obviously get people out of

21:06

homes that maybe they've outgrown or

21:07

that their kids have left and there's

21:10

extra bedrooms and that is not happening

21:12

because people are afraid to unwind a 2

21:15

or 3% mortgage to upgrade it to a six or

21:18

7% one. And there's been some data going

21:20

viral on X. National Association of

21:23

Realers released a report last week. The

21:26

average age of a firsttime home buyer is

21:29

now 40 years old. That's up from 28

21:33

years old in 1991 when I was in college.

21:36

And in the 30 years from 1991 to 2021,

21:39

it only increased a modest 18% from 28

21:43

to 33 years old. So in the last four

21:46

years, it's jumped from 33 years old to

21:49

40 years old for the average firsttime

21:52

home buyer. Day clip of friend of the

21:56

pod Ben Shapiro went viral. Here's a 25

21:59

second clip and we'll talk about it

22:00

after.

22:01

>> If you're a young person and you can't

22:03

afford to live here, then maybe you

22:04

should not live here. I mean, that is a

22:06

real thing. Okay, I know that we've

22:08

we've now grown up in a society that

22:10

says that you deserve to live where you

22:12

grew up. But the reality is that the

22:13

history of America is almost literally

22:15

the opposite of that. The history of

22:17

America is you go to a place where there

22:19

is opportunity. And if the opportunities

22:21

are limited here and they're not

22:22

changing, then you really should try to

22:24

think about other places where you have

22:26

better opportunities.

22:28

>> Pretty obvious statement there from Ben

22:31

Shapiro.

22:33

Your thoughts generally on

22:35

affordability. Chima,

22:36

>> it's a real problem. I think that this

22:38

is the keystone topic that has to be

22:42

navigated correctly for the Republicans

22:45

to win the midterms. I think there are

22:48

three critical issues if I had to sort

22:52

of put my finger on it. Issue number one

22:54

is one of housing. So Ben is right

22:57

there. Specifically, the problem is that

23:02

older folks own all the homes and own

23:04

multiple homes and younger folks just

23:06

cannot get into the housing market and

23:08

cities and states do not do a good job

23:10

of creating incentives for new homes to

23:12

be built. That's one. The second I think

23:15

is still around healthcare. The emergent

23:17

data on the cost of Obamacare is

23:22

horrible.

23:24

Obamacare has been an unmititigated

23:27

failure. The concept of capping gross

23:29

margin, while it seemed good

23:32

theoretically, has really turned out to

23:34

be an incredibly stupid thing. So what

23:36

that meant, Jason, is in Obamacare,

23:39

there was this feature that said you can

23:40

only make a 15% gross margin, right? And

23:44

what the folks at the White House at the

23:46

time thought would happen is that costs

23:49

would go down because their gross margin

23:51

would be limited. Instead, what they did

23:53

was they just started to raise the gross

23:55

prices of everything so that the 15%

23:57

applied to a much bigger number. And so

24:00

you saw the president this week trying

24:01

to see if he could just take the health

24:05

incentives and give them directly to

24:06

people and put it in their HSA accounts

24:08

so that it didn't need to flow through

24:09

the healthcare infrastructure and the

24:11

insurance companies. So, that needs to

24:13

get fixed. And then the third is on the

24:15

student debt side. I said it last week,

24:16

I'll say it this week.

24:19

I'm sort of copying Peter Teal here, but

24:23

he's been saying for a while that we

24:24

have to be much more sympathetic to the

24:26

loan forgiveness

24:28

and I think he's right. So I think if we

24:30

get these three issues addressed,

24:32

something in housing, something in

24:34

healthcare, and something on the student

24:36

loan side, it is a transformational

24:40

domestic policy agenda that puts

24:42

affordability front and center that will

24:44

impact 50 to 75 million American

24:46

households.

24:47

>> Freeberg, your thoughts? If you pull up

24:49

this article from yesterday, yesterday,

24:52

uh, LA city council held a vote. The

24:54

vote was 12 to2. In this vote, they uh

24:57

limited the amount that a landlord can

25:00

increase the rent every year.

25:02

>> This is rent stabilization.

25:03

>> Yeah, rent control.

25:05

>> So, it limits what a landlord can charge

25:07

in rent. And basically, they passed the

25:10

vote 12 to2. And what they voted is that

25:13

the landlord cannot increase the rent on

25:16

an annual basis by more than 90% of CPI.

25:21

CPI is the consumer price index which is

25:23

published by a federal agency every year

25:25

as we know. It's the inflation index

25:27

number that we often talk about on the

25:28

show with a floor of 1%. So the landlord

25:32

regardless of CPI can increase rent by

25:34

1% and a cap of 4%. So if CPI spikes for

25:39

some reason which I don't think has

25:40

happened in recent times you can charge

25:42

four up to 4% increase. So it limits

25:45

what a landlord can charge in rent. And

25:47

fundamentally to think about this as an

25:49

investor. So, if you're buying a

25:51

building or building a new building, you

25:54

are now going to have your equity

25:56

capped. Your upside, the amount of cash

25:58

flows that you can generate from that

26:00

asset, meaning the apartment building

26:02

you're buying is now limited by the

26:06

amount that you can increase the rent

26:07

every year. So, that creates a

26:09

disincentive for capital for investors

26:12

to buy new buildings or put money into

26:14

upgrading buildings or put money into

26:15

building new buildings. At the same

26:18

time, as we know, the city of Los

26:20

Angeles, the state of California, and

26:23

the federal government of the United

26:24

States have passed law after law,

26:28

regulation after regulation, statute

26:31

after statute has gone into effect that

26:34

makes it more expensive, take more time,

26:36

and more difficult to build housing. The

26:39

increase in regulation combined with the

26:41

cap in the economic access to free

26:45

markets, I think has made it

26:47

increasingly difficult for there to be a

26:49

free flow of capital to go and build new

26:52

housing and develop units for people uh

26:55

to live in and for sale. Every time the

26:59

government gets involved in a market, it

27:01

distorts the market. It limits the flow

27:04

of liquidity and it limits the market

27:07

finding lower prices. And I think that's

27:10

fundamentally what's gone on. The

27:11

government is now trying to limit what a

27:15

landlord can charge in such a dramatic

27:17

way that it's ripped out all of the

27:19

incentive for landlords to buy and own

27:21

these buildings because they're now only

27:23

going to be small yielding investments

27:26

and there's no upside. So there's no

27:27

incentive to go and build new housing.

27:29

And then the government's made it

27:30

difficult to build new housing for lots

27:32

and lots of different reasons. Same

27:33

thing happened with Prop 13, which we

27:35

passed in California in 1978, I think,

27:38

which creates a huge disincentive for

27:40

people to sell their homes and reduces

27:42

liquidity in the market. Now, I'll just

27:44

flip to the federal agencies. So, Fanny

27:47

and Freddy combined have issued or

27:49

supported about $8 trillion of home

27:52

loans. The initial view on that would

27:54

be, okay, great. They're creating

27:55

liquidity for a market that doesn't have

27:57

liquidity, for people that need access

27:59

to capital, for banks that don't have

28:00

assets to lend. And as a result, it's

28:03

going to make housing more accessible to

28:05

more people. That was the fundamental

28:07

premise of setting up a government

28:08

lending agency to support the purchase

28:10

of housing. But as you fast forward over

28:13

many years, the fundamental reality in a

28:15

very liquid, well-c capitalized

28:17

marketplace that we have today is that

28:20

that capital is actually excess

28:22

liquidity that can in fact drive prices

28:25

up. And much like we've seen in many

28:28

other markets like education with

28:30

student loans or like healthare with

28:32

Medicare, Medicaid, Obamacare and so on,

28:34

when the government gets involved and

28:36

provides capital to quote support a

28:39

market and make it more accessible, the

28:41

prices skyrocket. So people will use a

28:44

Fanny or Freddy Mack loan to buy a first

28:46

home and then they can go buy their

28:48

second home or their third home or they

28:49

can now afford to buy a more expensive

28:51

home that they otherwise might not have

28:52

bought. And so it over time creates an

28:54

inflationary effect in the markets. And

28:56

I think that this is a fundamental

28:58

question on like how are we going to get

28:59

out of this doom cycle because

29:01

fundamentally we're adding restrictions

29:02

for building new homes. We're capping

29:04

the amount you can make on homes. And

29:06

we're giving liquidity to markets to

29:08

drive up the price of homes. All of

29:10

which create this perfect storm of

29:11

disaster where we're just raising our

29:13

hands. And you know what we say? Please

29:15

government do more. And if the

29:17

government does more, I can tell you one

29:18

thing for sure. Prices are going to go

29:21

up even more. And so I think one of the

29:23

the challenging and hardest things to do

29:25

is say, "Hey, government do less." And

29:26

figure out a way to kind of back out of

29:27

this situation.

29:28

>> Perfect segue into what I'm seeing on

29:31

the ground, you know, and I I lived in

29:33

New York, Los Angeles, San Francisco,

29:34

and as folks know now, I live in Austin,

29:36

Texas. And if you you Perfect segue

29:39

there, David, there's really two

29:41

different countries here. You have

29:42

people living in coastal cities where

29:44

you're not allowed to build units and

29:47

rent is incredibly expensive and you

29:49

make the same amount of money. If you

29:51

look at when I grew up in Brooklyn and

29:54

uh I went to school at night. I took 5

29:56

years to get my degree from Florida

29:57

University. I had 12K in student loan

29:59

debt. I was making 40 to 60,000 a year

30:02

while I was in college doing it. It's a

30:05

big salary for back then, but my

30:06

apartment for in Brooklyn was 500 a

30:09

month. I lived in an apartment, an

30:11

addict apartment.

30:12

>> And so if you were to take two people

30:14

like that in America today, they're

30:17

making 60 to 70K. That's the average

30:19

salary for college educated people who

30:21

are 27 years old. If you live in Austin,

30:25

it is absolutely no problem for you to

30:28

own a home. Let me explain to you how

30:30

easy it is for we have so many units in

30:34

Austin, Texas. And in Houston, it's even

30:36

more pronounced. But Nick, pull up the

30:37

chart there just on rent because you

30:39

start as renters. Obviously, Austin rent

30:42

has gone down 20% in the last 3 years

30:46

because we build units. When you build

30:48

units, when you have supply, prices go

30:51

down. And the stupid people in San

30:53

Francisco with their woke are

30:56

like, "Oh, you're building luxury

30:57

units." Let me tell you what happens,

30:59

dumb asses, when you build luxury units.

31:01

The the rich hipsters who are living in

31:04

shitty apartments in the mission upgrade

31:06

to luxury buildings. How do I know this?

31:08

They're doing it in Austin. If you live

31:10

in a crummy apartment in Austin and you

31:12

see these beautiful apartments being

31:13

made with luxurious pools and

31:16

restaurants, cafes, co-working spaces,

31:18

you move to one of those and that frees

31:20

up that unit. In Austin, if you make

31:24

$130,000 a year, your 130,000 as a

31:28

couple, your rent is going to be 10%

31:34

15% max of your income. And you're going

31:38

to be able to to make a down payment of

31:40

10% because the homes within 25 miles

31:45

under 45 minutes of driving to the city

31:47

center. Do you know how much they are

31:48

per square footed where I live?

31:51

>> How much?

31:52

>> They are $200 to $300 per square foot.

31:55

You can buy a threebedroom for three to

31:57

300,000 to 500,000. You can buy a brand

32:00

new one freeird for 500,000. So

32:03

>> Ben Shapiro is absolutely correct. The

32:05

people who are upset at Ben Shapiro are

32:07

a bunch of hipsters who went

32:10

hundreds of thousand dollars in debt,

32:13

are paying5 or $6,000 a month in their

32:16

rent, can never get out from under their

32:19

rent payment or their liberal arts

32:21

degree. If you're a smart

32:24

person, go to the University of Texas,

32:27

graduate with little to no debt, live in

32:29

a a modest apartment, put down a down

32:31

payment, and buy a $500,000 home. This

32:34

problem doesn't exist in Texas. It

32:36

doesn't exist in a lot of markets.

32:38

>> Last night at dinner, Jason, the

32:41

president asked, "What could we do? What

32:43

are some ideas around student debt?" And

32:44

Bill Aman had a great idea, which was we

32:48

need to put the university

32:51

on the hook as the first loss.

32:54

>> Yes.

32:54

>> And and his suggestion was 20,000 was

32:57

what he said. I I don't know if that's

32:59

the right number or not, but the logic

33:01

that he made, which I thought made a lot

33:03

of sense, was if the universities are

33:05

forced to underwrite these degrees and

33:07

they know that they'll take the first

33:08

dollar loss up to a certain amount, 20,

33:10

30, 40,000, they'll be much more

33:12

circumspect about what degrees they

33:16

force onto people and the amount of

33:17

money that they're willing to actually

33:19

underwrite via these loans. And that

33:20

will be a telltale sign that a lot of

33:22

these degrees don't make any sense. And

33:24

right now we don't have a market check

33:26

to tell young people that. And so we

33:28

push them all into school thinking that

33:30

it's the right thing to do and then

33:32

they're just completely saddled and

33:33

they'll never get up. You have to do

33:36

math people. You have to have agency and

33:38

you have to be self-reliant. It when I

33:40

went to school there were some kids and

33:42

it's happening now where they think they

33:44

have to live on campus. They think they

33:45

have to go for four years. If you have a

33:47

job and you take five years to get your

33:49

degree and you don't live on campus,

33:51

your debt position when you graduate is

33:53

going to be much different. If you have

33:54

a job that is, you know, in demand in

33:59

the world, you'll make 60 70 80k. If you

34:01

come out with less debt, if you live in

34:03

an attic apartment, if you do a little

34:05

austerity people, and you do a

34:08

spreadsheet of your finances, which I

34:10

had to do because my dad was a

34:12

bartender, my mom was a nurse. I had to

34:14

pay for college myself. I had to think

34:16

it through. The these elite lunatic kids

34:20

in New York City or San Francisco think

34:21

they deserve to live in Manhattan. You

34:23

don't have a god-given right to live in

34:25

Tokyo, France, Hong Kong, or any of the

34:28

major cities. You need to live in the

34:31

suburbs. You need to commute an hour to

34:33

school.

34:34

>> France is a country.

34:35

>> Uh in Paris. Thank you.

34:37

>> Okay.

34:37

>> In Paris, sorry. If you live in Paris,

34:40

London, these are not your god-given

34:41

right. Live an hour outside the city

34:43

center and take the tube people. These

34:46

lunatics think they deserve it. And this

34:47

is why Mandami and the Legion episodes.

34:50

Can we just title this episode grumpy

34:52

chimoth and soap box JCO?

34:55

>> Absolutely. [laughter]

34:57

>> No, I just

34:58

>> Did you bring your own soap box? Did you

35:00

bring your own soap box to Tokyo or did

35:02

you buy one there?

35:03

>> Soap box. Soap box. Soap box.

35:06

>> Yeah. Japanese. You're going to

35:12

>> You're going to upset so many of the

35:13

private equity wives that you spend most

35:16

of your time curing favor from. They're

35:18

not even know any private I haven't met

35:19

any private equity wives. I don't know

35:21

where they are, but literally these kids

35:24

are so

35:25

>> They're in the They're in your comments

35:27

for sure.

35:28

>> I don't think they're following me on

35:29

that.

35:29

>> I'm sure your your bot army pays for

35:31

some of them to

35:32

>> They're not. I'm telling you something.

35:33

They're not They're definitely not in PA

35:36

public equity wise for JCAL.

35:39

>> When you run when when you listen,

35:41

you're such a narcissist. You will

35:42

eventually run for some political office

35:44

and that'll be

35:46

>> py forjal.

35:48

>> Absolutely. You'll be the first to

35:50

donate to my give me a break,

35:52

>> bro. You know why I would? Because

35:53

you're you're one of my best friends and

35:55

I love you. So yes, site unseen. You

35:57

tell me how much you need, I'll give it

35:58

to you. But it's not because I believe

36:00

you're right or you should win.

36:01

>> Okay. Coming back to New York after

36:04

mammi burns it down. Mayorjason.com

36:06

bookmark. I am donating to you has no

36:09

alignment to philosophy, ideology, or

36:11

your potential chances of winning. It's

36:13

purely for

36:13

>> There it is. Hey guys, book it now. I'm

36:16

controlled by big tech and finance

36:17

interests. I guess related to the angst

36:21

about affordability was the flare up of

36:24

H-1Bs. Again,

36:27

Trump went viral after Laura Ingram on

36:30

Fox

36:32

kind of pushed him pretty hard on H1B

36:36

visas and he stood his ground. President

36:39

Trump stood his ground that we need high

36:42

skilled workers in America. Here's your

36:44

25 second clip. We'll be back on the

36:45

other side. H-1B visa thing will not be

36:48

a big priority for your administration

36:50

because if you want to raise wages for

36:52

American workers, you can't flood the

36:54

country with with tens of thousands or

36:56

hundreds of thousands of foreign

36:57

workers.

36:57

>> You also do have to bring in talent when

37:00

you don't have talented people. No, you

37:01

don't. No, you don't. We don't have

37:03

talented people. No, you don't have you

37:05

don't have certain talents and you have

37:06

to people have to learn. You can't take

37:08

people off an unemploy like an

37:10

unemployment line and say, "I'm going to

37:12

put you into a factory. We're going to

37:14

make missiles or I'm going to put

37:15

>> How did we ever do it before?

37:16

>> Jamat, your thoughts here? Uh, we've

37:18

obviously talked to her blew in the face

37:20

about the value and the abuse of H-1B

37:22

visas, but it's coming up again. And I

37:25

guess, you know, at a time when Trump's

37:29

popularity is a little bit low and

37:31

people are suffering with the inflation

37:34

not going down, yada yada. This seems to

37:36

be like um another point of contention.

37:39

>> I think that we have to overhaul the

37:40

H-1B program. Last night at dinner

37:43

actually

37:45

Howard Lutnik explained how some of

37:47

these abuses happen. It's really unfair

37:50

actually how it works.

37:52

What he described is that when the

37:54

application window opens for what is a

37:57

very small number of H1Bs a company that

38:00

has you know call it 300,000 employees

38:02

abroad

38:04

will apply on behalf of all 300,000

38:07

because they're all roughly the same

38:08

kind of employee. Whoever gets it gets

38:11

to come over. Now, if you're filing

38:12

300,000 applications, obviously you have

38:14

a disproportionately larger chance than

38:16

Freeberg's company or my company or your

38:18

company, Jason, who's filing one,

38:20

obviously. And so when those kinds of

38:23

things happen and you can now use the

38:25

data to understand it, you have to fix

38:26

it. So that's one very material and

38:30

obvious change we need to make right

38:32

away, which is we have to allow American

38:34

companies to find these folks and have

38:36

it be very precise. The second thing is

38:38

that

38:40

we're introducing

38:42

a price that each of these companies can

38:45

pay for so that then you can signal

38:47

clearly the disproportionate economic

38:50

value that that person can create and

38:52

the fact that after all the effort

38:54

possible you can't find that person here

38:56

and that's why you're willing to pay

38:58

$100,000 which is a non-trivial amount

39:00

of money. So, I think that when both of

39:03

those two things, the $100,000 thing is

39:05

introduced and the visa application

39:07

abuse is fixed, I think that we will go

39:10

a long way to cleaning up the H-1B thing

39:12

and putting ourselves back in a much

39:14

better place. But right now, there's

39:15

just a lot of abuse. And so, the program

39:17

itself is not working the way it should

39:18

have. And and I think this has largely

39:20

been solved. I think it's a

39:21

communication issue for the Trump

39:22

administration because they did put this

39:24

$100,000 fee on it that's already in

39:27

effect. And I've been saying this here

39:29

at CNBC this startup for a decade.

39:31

There's massive abuse on the bottom half

39:33

and there's it's necessary on the top

39:35

half. If you're bringing in IT people

39:37

for$4 to $80,000, it's not viable to put

39:41

a 2030 $40,000 fee on top of that. But

39:44

if you're Google or Facebook and you're

39:46

bringing in a PhD in AI who's going to

39:49

get paid a million dollar, well that

39:50

$100,000 fee, 20 $30,000 a year,

39:53

whatever it winds up being, is nothing.

39:55

It's dimminimous. They I take it one

39:57

step further. Freeberg. I think we

39:58

should be auctioning these.

40:00

>> Use a more narrow example.

40:02

>> Yeah.

40:02

>> Let's say Freeberg. It's a startup. He

40:05

has capital, but he has to return it.

40:08

>> Freeberg, would you pay $100,000 for the

40:10

right person

40:11

>> that you could not find? And are there

40:13

jobs where right now you're like, man, I

40:15

can't find people that are highly

40:17

specialized or not yet?

40:18

>> I could see that. Yeah. I mean certainly

40:20

I could see being I mean fortunately I

40:22

have there are we can recruit those

40:24

sorts of people in my industry

40:27

because we're very special but yeah I

40:29

could understand like particularly as it

40:31

relates to software I could see people

40:33

definitely doing that.

40:35

>> Yeah and the the the way to really do

40:38

this and this is Trump's superpower is

40:40

turning something that's a cost center

40:42

into a profit center. I always give him

40:44

credit when he does something brilliant.

40:45

And the brilliant thing to do is to take

40:47

the hundred,000 and make it an auction.

40:49

I would auction off half of these to the

40:52

highest bidder. And then you would have

40:54

Google, Facebook, and Meta saying

40:56

instead of give me, you know, a 100,000

40:58

of these at the rack rate, they would be

41:00

saying, "Hey, I need 10 of these for

41:02

sure. I'm going to bid a million. I need

41:04

another hundred of these. I'm willing to

41:05

bid 750." And then take that money and

41:08

just allocate it to vocational training

41:10

and retraining. You know, the problem is

41:12

this administration has two different

41:14

sides. You have the brilliant people in

41:15

this administration who I admire very

41:17

much like Lutnik and Sachs and the

41:20

business people. And then you have the

41:21

knuckleheads in my mind, the people who

41:23

are doing the the stuff that ICE agents

41:25

and the deportations. And the perfect

41:27

example of this has come up with the

41:28

H-1B visas. They took the Hyundai plant

41:32

where you needed high-skilled workers

41:34

and they arrested and they deported a

41:37

bunch of South Koreans. they in a very

41:41

brutal way, very disrespectful way. At

41:44

the same time that Lutnik is out there

41:46

trying to get people to invest in the

41:48

country and build factories here. You

41:50

can't be deporting people with Steven

41:51

Miller's deranged process of running

41:54

people down and treating them inhumanely

41:56

and then at the same time be saying,

41:59

"Hey, we want you to invest and build a

42:00

battery factory." Hyundai has a battery

42:03

factory. These lunatics came there and

42:05

arrested and chained up South Koreans

42:07

who are our partners, who are helping us

42:09

rebuild our navy. This is where the

42:12

administration has to speak with one

42:13

voice and it needs to be the

42:15

professional smart people. And this is

42:17

another example of it. They they they

42:20

already solved this problem and they

42:21

can't

42:23

communicate it properly. Let Bessing go

42:25

out there and communicate this over and

42:27

over and over again. It's a profit

42:28

center now. And don't arrest the South

42:31

Koreans who were trying to get to build

42:33

factories here. Scratch the next topic.

42:37

There was a massive three three massive

42:40

coronal mass ejections this week. These

42:42

are giant waves of charged particles,

42:46

protons and electrons mostly that shot

42:49

off from the sun. You can see a graphic.

42:51

>> You have to pick better words because

42:54

>> that looks like Uranus right now. Did

42:55

you have a burrito?

42:56

>> Mass ejections shot out.

43:00

out right from Uranus.

43:02

>> Okay. So, the the sun goes through an

43:05

11-year cycle. As you know, the sun is a

43:08

giant ball of plasma. Plasma is where

43:12

the particles are so hot, they're so

43:15

energetic that the electrons and the

43:17

protons and all the particles kind of

43:19

split apart. And so, you have these

43:23

subatomic particles moving around at

43:25

extremely high energy levels. And when

43:28

they when the protons smash into each

43:30

other, that's what fusion is. And that's

43:32

what causes the energy that we get from

43:33

the sun. And because these are charged

43:37

particles, protons have a positive

43:38

charge and electrons have a negative

43:40

charge. When they're moving around at

43:42

this high energy in such a dense space,

43:44

they actually create very powerful

43:46

magnetic fields. And those magnetic

43:49

fields pull and stretch the physics of

43:51

the the surface of the sun. And over

43:54

time there are these cycles where those

43:56

magnetic field strengths get so strong

43:59

that once in a while they snap and shoot

44:02

out a chunk of those particles into

44:04

space. That is the fundamental physics

44:07

that drives these coronal mass

44:09

ejections. These big waves of charged

44:11

particles that shoot flying through

44:13

space at thousands of miles a second is

44:16

how fast they move. High energy waves of

44:18

charged particles. And then when they

44:20

hit the earth, because they're charged

44:22

particles and we have a magnetic field

44:24

around the earth, they interact with the

44:26

magnetic field and they disturb it. And

44:28

the disturbance of the magnetic field on

44:30

Earth can actually have dramatic effects

44:32

on GPS, on communications, and it can

44:35

actually create shorts in conducting

44:40

material on the surface of the planet.

44:43

So for years we've always talked about

44:44

there could be an extinction level event

44:46

one day if one of these coronal mass

44:48

ejections are so large they could

44:50

actually uh wipe out satellite

44:52

communication. They could turn off all

44:54

computers. They could cause shorts in

44:56

the electrical grids around the planet.

44:57

There's all these major risks. So this

45:00

is often talked about as like when's

45:01

this big event going to happen? And this

45:03

week it was a very big event. There were

45:05

three major coronal mass ejections that

45:07

happened in in a row. Two of them kind

45:09

of combined and hit the earth at the

45:11

same time. and we had the highest level

45:13

recorded geomagnetic storm which was G5.

45:16

So this G5 storm caused massive

45:18

disruptions in the magnetic field

45:20

strength of the Earth. Fortunately,

45:22

there was not a lot of reported damage,

45:25

but we did get to enjoy the beautiful

45:27

aurora as far south as Texas in the

45:31

United States because these charged

45:33

particles with magnetic field, they kind

45:35

of move towards the north and south pole

45:37

and then they combine with molecules in

45:40

the atmosphere. They release light and

45:42

you can see these beautiful waves of

45:45

orange, yellow, red, green, purple

45:47

lights that look like they're coming

45:49

down from the heavens all over the

45:50

planet. It was really an amazing and

45:52

spectacular site. So, it was a scary

45:55

week from a solar storm perspective, but

45:58

it created a beautiful view here on

46:00

Earth. So, that was the explanation for

46:02

what happened with the geomagnetic storm

46:05

this week. But to be clear,

46:07

there were no other adverse effects from

46:10

the CME.

46:11

>> So far, there's some reports of

46:13

communications going out in Africa

46:16

on small networks and things like that.

46:18

Uh I did not hear about widespread

46:19

satellite failures, which is obviously

46:21

always a big risk with these things

46:22

because these things can actually short

46:24

out satellites. I mean, these are clouds

46:26

of protons moving very densely at

46:30

actually, you know what, Nick, can you

46:32

pull up this is one chart to look at. So

46:34

this chart actually shows on a log

46:36

scale, which means every step up on the

46:38

chart is 10 times bigger than the number

46:40

before it. But you can see that right

46:42

around midnight London time on November

46:45

12th, which by the way was just before I

46:48

got on the airplane to fly from Japan to

46:50

San Francisco. So I was actually

46:52

considering not getting on my flight

46:55

>> around this time.

46:56

>> Really?

46:56

>> But there was a Yeah, very seriously.

46:58

Well, he didn't want to have a mass

47:00

ejection on his flight.

47:01

>> That would have been really bad. Well,

47:02

you thought like the GPS could go out or

47:04

something like that.

47:05

>> No, no. So, this has happened in the

47:07

past and they do have redundancy for the

47:08

GPS going out, but the radiation level

47:10

spikes

47:11

>> uh when you're that high up, but only at

47:13

higher latitude. So, I was looking at

47:15

the latitude of my flight path, but they

47:17

actually turned off all flights going

47:18

over the North Pole because the

47:20

radiation gets so high. You can't fly

47:22

over the North Pole when you have this

47:25

much magnetic flux happening,

47:27

particularly in the northern latitude.

47:29

So you can see in this image that red

47:31

bar is protons

47:34

that are moving that have an energy

47:36

greater than 10 mega electron volts

47:40

which is not a super high energy but

47:41

more scarily is the green one. The green

47:45

one is actually 100 mega electron volts.

47:48

This is a massive amount of energy in a

47:50

proton that can cause serious damage on

47:54

a microscopic level. So it can shred DNA

47:56

for example. it can shred circuits and

47:59

so on. So this is a very powerful set of

48:02

positively charged protons and they

48:04

count how many they're picking up on

48:06

these satellites where they have these

48:07

kind of detectors as they come from the

48:09

sun how many of them they're hitting and

48:11

you can see this extraordinary spike

48:13

where it spiked up from normally you see

48:15

call it one

48:18

to all the way up to a thousand. So it

48:20

spiked by a,000x

48:23

>> wow

48:23

>> in 5 minutes.

48:25

And so this is a massive increase in the

48:28

natural background effect of charged

48:30

protons shooting at this extremely high

48:32

energy through space and hitting Earth.

48:34

>> There was that Carrington event which

48:36

was the the largest one ever recorded.

48:38

I'm sure you're aware Friedberg like in

48:39

the 1800s.

48:41

>> What would happen if we had that level

48:43

of event today given the infrastructure

48:46

because back then we had telegrams

48:47

right? We didn't have a lot of equipment

48:49

but some of that equipment got fried

48:51

during the Carrington event.

48:54

>> Yeah. Yeah, I mean that's the sort of

48:55

event that can absolutely shortcircuit

48:58

electronic equipment either in

48:59

satellites and then they would be

49:00

rendered permanently unusable. It can

49:03

also if it hits the surface of the earth

49:05

because remember what protects the earth

49:06

is the magnetic field we have and the

49:08

reason we have a magnetic field around

49:10

the earth is because we have an iron

49:11

core at the earth and as that iron core

49:13

rotates it creates a magnetic field and

49:16

we're very lucky to have that because

49:17

that magnetic field actually is like a

49:19

shield. It's like a force field around

49:20

the earth and it shoots charged

49:22

particles away from the earth and keeps

49:24

them from hitting the surface of the

49:25

earth which would kill all life on earth

49:28

over time. That's why we can't go live

49:29

on the surface of the earth

49:31

>> without protection.

49:32

>> We're preparing for a Carrington event.

49:33

Like if it happened you could turn off

49:35

all the equipment.

49:36

>> No.

49:36

>> Like power grids and stuff like that.

49:38

>> So what would happen is you could have

49:40

these voltage spikes that can actually

49:43

shortcircuit physically destructure the

49:45

microchips, the little wire connectors.

49:47

So this is a very serious risk to

49:50

civilization which is why people always

49:51

talk about these solar storms being

49:53

those black swan events, those one ina

49:55

million year events or those one in

49:57

aundred year events that could render us

49:59

back into the stone ages. Some people

50:00

say it's unclear the probability of

50:03

that. But the sun does go through an

50:06

11-year cycle. And during that 11-year

50:08

cycle, there's a minimum and a maximum.

50:10

We're kind of close to the maximum right

50:11

now. So we are seeing these events very

50:13

predictably every 11 years. But how big

50:16

they are is something that's, you know,

50:19

unknown to us. I mean, we try and study

50:20

the dynamics of the sun, but it's very

50:23

difficult for us to be very predictive

50:24

about how big these CMEs are going to be

50:26

when they're going to happen.

50:28

>> So, we have to be on top of like

50:29

observing as they happen. But then we

50:31

only have a few hours to say, "Oh my

50:33

gosh, this thing's coming for us.

50:34

Beware, everyone. Watch out. Be

50:35

careful." But there's not very much we

50:36

can do to prepare. I will say I have a

50:39

belief that I think electronbased

50:41

computing is going to go by the wayside

50:43

by the end of the century and be

50:44

replaced with photonbased computing. And

50:47

I think we're going to move most of what

50:49

we do today with copper and uh

50:51

semiconducting material over to photonic

50:53

material and photonic systems and what

50:56

will ultimately be quantum meets

50:57

photonic systems probably some point

50:59

this century. When that happens, these

51:01

risks go away. But for now, while we're

51:04

relying on electrons and moving

51:05

electrons around through copper wire and

51:07

so on, we run the very strong risk of

51:09

these geomagnetic storms having an

51:11

adverse effect on the planet and on our

51:13

core infrastructure.

51:14

>> Freeberg, I got to see you earlier this

51:16

week in Tokyo. We shared a little

51:18

tempora. Good times. Yeah,

51:21

>> good times in Tokyo. Definitely a lot of

51:23

expats making their way from the tech

51:25

industry to Tokyo. It's a booming town,

51:28

booming tech scene. There's a lot of

51:31

people from America who have come to the

51:34

conclusion that the great confiscation

51:36

is upon us. [laughter]

51:38

This is what I'm calling it, the great

51:40

confiscation.

51:41

Whether it's California or New York,

51:44

they're coming for your bags. And so

51:46

people are now looking for not one but

51:48

two escape hatches. A state, a sovereign

51:51

state, Freedberg,

51:53

in the United States, the great state of

51:55

Texas where I hell from the past few

51:57

years. and people are looking for an

52:00

international.

52:01

Everybody's getting themselves a

52:03

passport or a golden visa. Japan, Riad,

52:07

and where I've spent the last two weeks,

52:09

are amongst the top choices.

52:11

>> Do you see this image behind me? This is

52:13

that forest city in Malaysia.

52:16

>> It's the craziest thing I've ever seen.

52:19

>> You went there?

52:20

>> I went there last week. They put a

52:22

hundred billion dollars into building

52:23

this island. A whole city.

52:25

>> This is the thing that Bology owns. No,

52:27

he he rented a hotel. They have a big

52:31

resort hotel. He rented the whole hotel.

52:32

That's where he's running his network

52:34

school. He's running essentially like an

52:36

in-person Y Combinator network state.

52:39

You pay one fee for your apartment, your

52:41

food, your gym, and you hang out with

52:44

other people who want to be part of a

52:45

new society

52:47

with their own rules.

52:48

>> Kind of interesting on the margins.

52:51

>> Yeah.

52:51

>> But between that and Singapore and

52:54

Tokyo, I mean, there was like

52:57

a really interesting cross-section of

52:59

people that I would say are kind of on

53:03

the frontier of tech that feel like it's

53:06

not in the United States anymore and

53:08

they're looking for what feels like the

53:11

wild west. Where where can we go? Where

53:13

can we put down roots? Where can we

53:15

establish a new town for a new era?

53:18

Because a lot of people view the US at

53:20

the end of a cycle. And it look it may

53:22

not be a massive community today, but

53:24

it's a burgeoning community. It's a

53:26

growing community and there is this

53:28

really I think interesting maybe scary

53:32

trend line of folks um you know wanting

53:35

to kind of see this stuff happen outside

53:37

the US and making an effort to

53:39

>> put down roots

53:40

>> elsewhere. I'm going to start my own

53:41

little community

53:43

[clears throat]

53:43

>> for Vikunia

53:46

>> Vikunia and Wagyu. Those are the two

53:48

litmus tests for entry.

53:50

Chimamathopouloolis. Apopoulos.

53:51

[laughter]

53:54

It's gonna be

53:54

>> You could only wear Vikuna and you could

53:56

only eat one.

53:57

>> Chimathopolis.

53:58

>> All right, everybody. Another amazing

54:01

episode. The Allin podcast is in the

54:03

can. Love you besties.

54:05

[music]

54:06

>> Let your winners ride.

54:09

>> Rainman David.

54:12

[music]

54:13

>> And it said,

54:13

>> "We open sourced it to the fans and

54:15

they've just gone crazy with it. Love

54:17

you. [music] Queen of

54:21

>> your

54:24

[music]

54:26

besties are gone.

54:28

>> That is my dog taking a notice in your

54:30

driveway.

54:34

>> Oh man, my dasher will [music] meet me

54:36

up.

54:36

>> We should all just get a room and just

54:38

have one big huge orgy cuz they're all

54:39

just useless. It's like [music] this

54:41

like sexual tension that we just need to

54:42

release somehow.

54:46

Wet your feet.

54:50

We need to get murky's back.

54:55

[music]

54:59

I'm going all in.

Interactive Summary

This episode covers various topics, starting with a critique of financial media's coverage of Michael Burry's market positions and an in-depth discussion on the depreciation accounting practices for data center equipment. The hosts also discuss Palantir's valuation, recent housing affordability issues and potential policy solutions, the complexities of H-1B visa programs, and the scientific explanation behind recent coronal mass ejections that caused geomagnetic storms.

Suggested questions

5 ready-made prompts