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Epstein Files Fallout, Nvidia Risks, Burry's Bad Bet, Google's Breakthrough, Tether's Boom

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Epstein Files Fallout, Nvidia Risks, Burry's Bad Bet, Google's Breakthrough, Tether's Boom

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1925 segments

0:00

All right, everybody. Welcome back to

0:01

the number one podcast in the world. We

0:02

are together in person. Yes, the besties

0:05

are together in Vegas. It's going to be

0:07

a great time. We're here for F1 and

0:09

>> This is a test. This is a test. our

0:11

friends at the Venetian have been

0:14

amazing, gracious hosts. They gave us

0:16

their beautiful studio here. We're going

0:18

to play some cards. We're going to have

0:19

Phil Hellmuth, Jason Koon, all of our

0:22

besties are coming. And I have I've

0:24

never stayed at the Venetian before.

0:26

It's amazing. Wonderful suites they gave

0:29

us. It's beautiful. Uh they VIP'd us out

0:31

and this is the place you want to play

0:33

cards. They've got a beautiful, brand

0:35

new poker room. They've got a high

0:36

stakes room. We'll be playing here

0:38

later. We'll be playing the secret game.

0:41

>> and yes, trackside for Formula 1. And

0:44

we're here for F1. We're going to be

0:46

releasing

0:46

>> dealer with me.

0:48

Wait. You brought a car dealer with you?

0:50

>> You know Matthew?

0:52

Oh, your car dealer from your home game

0:53

is here.

0:53

>> Yeah, Matthew car dealer.

0:54

>> Is that Is he dead money? What's the

0:55

story here? Is that his if Sadly. No?

0:58

Okay.

0:59

I haven't been in the home game for a

1:00

little bit and it looks like people got

1:02

out of line. But anyway, thank you so

1:03

much to our friends at the Venetian.

1:06

Uh they're doing a ton of poker content

1:07

here, so you can look at that on their

1:08

YouTube. All right, everybody. You've

1:10

wanted us to talk about the Epstein

1:12

files and we're going to talk about it

1:13

today. In a stunning turn of events, the

1:15

House and Senate voted nearly

1:17

unanimously to release the Epstein

1:19

files. The vote was 427 to one, Chamath,

1:23

uh for the Epstein files Who abstained

1:25

from the act? Uh no, the uh person who

1:27

abstained, well played, uh was a

1:30

Republican Clay Higgins from uh

1:32

Louisiana. Thanks for asking. He said it

1:34

reveals and injures thousands of

1:36

innocent people, witnesses, people who

1:37

provided alibis, family members. He

1:39

makes a great point, but AG Pambondi, of

1:41

course, has addressed that already that

1:43

they're not going to release any open

1:44

investigations and they're going to uh

1:46

remove names if it would harm anybody.

1:49

Uh the Senate passed it by unanimous

1:50

consent,

1:52

which requires a sign off from every

1:53

senator and Trump, in a reversal, signed

1:56

the bill last night saying, "Give them

1:59

everything." We did see some emails come

2:01

out from the Epstein files last week.

2:04

Friend of the pod, Larry Summers, was a

2:05

main character in them

2:08

and he was communicating with Epstein up

2:10

until 2019 asking him

2:13

for advice uh on dating. He's since

2:17

stepped down from OpenAI and several

2:18

other public-facing roles and was just,

2:21

I think, put on leave from Harvard.

2:24

I mean,

2:25

what do you guys think's going to be the

2:27

fallout from this, I guess, is what The

2:29

release of the files? Is that the

2:31

question?

2:31

>> mean, I guess we'll put on our tin foil

2:33

hats on.

2:34

>> let's break this down. So, I think the

2:35

first question is, what is the relation

2:37

between the Epstein files and Donald

2:39

Trump? And I think the answer is it's

2:42

flimsy. And the reason is because this

2:44

is the most investigated, most litigated

2:47

human being on Earth.

2:48

And I think that if you had something

2:50

that was incredibly salacious and

2:52

accusatory of Trump, it would have been

2:55

released during the Biden administration

2:56

because it would have made a lot of

2:58

sense politically to try to damage his

3:00

candidacy. Hm. So, the fact that we

3:02

haven't seen much of anything other than

3:04

some photos means that there's nothing

3:06

there related

3:09

to Trump. So, then

3:11

release more of the files when they had

3:13

them for 4 years and it's probably

3:15

because there are a non-trivial number

3:18

of Democratic operatives that are

3:19

touched by these things.

3:20

>> Well, also, they did have I think the

3:22

reason they didn't release them was

3:23

because there was an open Ghislaine

3:25

Maxwell case as well and she was

3:27

appealing it, so they couldn't release

3:28

it.

3:28

>> there's probably two of them, but but

3:29

you know how this works. There's

3:30

innumerable number ways to leak stuff,

3:32

right?

3:33

>> Mhm. My point is now what you're

3:34

starting to see

3:36

in these documents is that it seems to

3:38

be tainting

3:40

the Democratic establishment elite more

3:43

than the Republicans. It explains why

3:46

there was so few leaks in the last 4

3:49

years. The point is, Jeffrey Epstein was

3:51

a total creep, right? That island should

3:54

be covered in cement and drowned. The

3:56

house should be burned to the ground and

3:57

replaced with something nice. And you

3:59

have to make sure that these I You're

4:01

the one that said this, it's a thousand

4:02

women?

4:03

That's what I saw a report that there

4:05

>> saying a thousand women.

4:06

>> Okay, someone said a thousand women in

4:07

in the apparently in there there's

4:09

claims that it's Oh, it was one of the

4:10

victims who said there's a thousand of

4:12

us.

4:13

Okay, I mean, you have to be incredibly

4:15

careful and thoughtful to protect their

4:18

rights and just to respect what they've

4:19

gone through, but I think now we need to

4:21

just release these files in an orderly

4:23

manner and put this episode behind us,

4:25

learn what we need to learn from it, get

4:27

better, be better.

4:29

Treat these people with respect and move

4:30

on. Yeah. I think

4:32

>> you think the release of the files is

4:33

meant to help the the victims or do you

4:36

think it's meant to identify fodder to

4:39

go after political enemies?

4:40

>> Neither of those two things. The

4:41

releasing of the files at this point is

4:43

one of these things

4:45

that is about a compact

4:47

between those that have power and those

4:50

that ask for something. This is an issue

4:52

that is animated

4:54

millions of Americans.

4:57

So, when they constantly keep asking for

5:01

these things to be put out there,

5:04

I think it's a good signal for the

5:06

government to listen to folks and

5:08

release them. Again, in a respectful

5:09

way. Similarly, there are other things

5:12

that I think fall into this.

5:14

We've heard about the JFK files, right?

5:16

The killing of Martin Luther King, the

5:18

Amelia Earhart files. And so all the UFO

5:21

files. All the UFO files.

5:23

I think what it does is it shows a

5:25

pattern of being responsive to the

5:28

voting public. And I think that that's a

5:29

good So, Higgins, who by the way was a

5:32

sheriff, he was an army staff sergeant

5:34

and he's been in Congress for I think 9

5:36

years. In addition to talking about the

5:38

victims, he said, you know, this

5:40

abandons 250 years of criminal justice

5:42

precedent procedure in America. And um

5:46

releasing broad reveal of criminal

5:47

investigative files released to a rabid

5:50

media will absolutely result in innocent

5:52

people being hurt. Do you think this is

5:54

like a singular situation with Epstein

5:55

because it's so extraordinary and

5:57

there's so many people tied up in it or

5:59

does this set a precedent where anytime

6:01

people and the media start to say, "Hey,

6:03

we want to know what's going on in the

6:04

middle of an active investigation or

6:06

former investigation" that these files

6:08

kind of get released and this becomes a

6:10

new standard where we're just going to

6:11

start to open up investigative files

6:13

like this?

6:14

Do you think it's like a singular thing?

6:15

Cuz this is his whole point.

6:17

>> like a singular thing. Like And also,

6:19

it'll bake for A lot of these issues

6:21

have to bake for a decade or two before

6:23

people want them to come out. This has

6:24

been going on for now for how many

6:26

decades?

6:26

>> Well, it's like a 20-year story.

6:28

20-year story. I feel like the

6:29

investigative piece that's missing is

6:30

how did he get away scot-free in

6:32

Florida?

6:33

>> I actually When there was he was

6:35

criminally charged, he was convicted and

6:37

plead out and he was basically let go. I

6:40

I can actually say I know a little bit

6:41

about it because I met Epstein a half

6:42

dozen times at the TED conference.

6:47

Oh, you did. Yes. So interesting.

6:49

>> about it on my Twitter incessantly

6:51

um because I'm in

6:52

>> you you are in his book.

6:54

>> I I am amongst the thousands of people

6:56

in his black book. I met him at the TED

6:57

conference. My

6:58

>> You know who you know who else Jeffrey

6:59

Epstein David and I. Okay,

7:01

congratulations. You guys weren't in New

7:03

York. Um I went to the TED conference. I

7:05

just avoided that room. Well, there was

7:08

a billionaire's dinner at the TED

7:09

conference. I didn't actually go to the

7:11

TED conference. My book agent would host

7:13

the billionaire's dinner. If you type in

7:15

billionaire's

7:15

>> used to go to the TED conference. Of

7:16

course.

7:17

>> You used to go to the TED conference. It

7:18

was like I was never invited to the

7:19

billionaire's dinner.

7:20

>> This is in the 1990s. Like this is how

7:22

old this is. He was there giving

7:25

donations to scientists. Marvin Minsky,

7:28

uh

7:29

MIT, all that stuff.

7:31

And when he went away and he got busted

7:35

in Miami, the way it was framed in the

7:38

TED community was that he was set up and

7:41

this was just like an underage girl.

7:43

They had checked her ID and it was like

7:45

some sort of set up and that he had been

7:46

given a work-from-home

7:49

Yes, that's right.

7:50

>> sentence. He could go to work every day

7:52

and then he had to report to jail and

7:54

that it was all just like a

7:55

misunderstanding is how they framed it.

7:58

I think, looking back on it, I think

8:00

he's a spy. I think he worked for

8:02

intelligence agencies. Now, I I am not

8:04

the conspiracy theorist of this podcast,

8:07

but

8:07

>> shared intel with?

8:09

>> Okay, sure. I I it could be any in that

8:12

spectrum.

8:12

>> all know people in the intelligence

8:14

community and there's easy ways to pass

8:15

intel without it being Sure. Like

8:17

working for Then I think the question

8:19

becomes, was he an asset? Was he sharing

8:23

information? To what extent? And the

8:25

reason I think this is because why would

8:27

he have an interest in the top

8:29

scientists in the top universities to

8:32

get close to them and then who did he

8:34

want to pass that information on to? Who

8:36

would want top intelligence from

8:38

scientists? Russia, Israel, the CIA. And

8:42

then the compromat thing does seem also

8:45

likely because he had cameras everywhere

8:47

and they've talked about this. So, He

8:50

had cameras

8:51

and you're saying he recorded famous

8:53

people and then used that to get things.

8:57

I think there is a non-zero chance that

9:00

that part of the story is true.

9:02

>> The part of the story that's unanswered

9:04

>> But I don't know that it's like a 90%

9:06

chance that happened. And I think that

9:07

when we go back and we look at this,

9:09

there's a bunch of people who have

9:10

embarrassing interactions with this

9:11

person who spread money everywhere.

9:13

Everybody wanted his money. That's why

9:15

they were lining up. All of the

9:17

scientists, Joey Ito, Reid Hoffman, all

9:19

of these folks were trying to get his

9:20

money.

9:21

Which is peculiar. And he was also

9:23

giving tax advice to the Microsoft

9:25

people, to Peter Thiel. So, he was

9:27

always trying to integrate himself into

9:29

powerful people with money and

9:31

scientists. Why? Was it to make money or

9:34

was it for some other purpose? I think

9:36

it was not to make money. I think it

9:38

there was some other purpose here. Now,

9:40

I am not a conspiracy theorist, but

9:42

because this thing has gone on so long

9:44

and it has not been released, I think

9:46

there's

9:47

There's mechanisms that are keeping it

9:49

at at bay.

9:50

>> That's what That's to me like the

9:52

Occam's razor version of this. I think

9:54

there's going to be very embarrassing or

9:56

compromising things for intelligence

9:58

agencies, which is I think the same

9:59

thing behind If I could have one thing

10:01

JFK's assassination.

10:02

>> could have one question answered for me

10:04

out of the Epstein files, if I could

10:05

just have the question answered, I'd

10:06

want to know where did all his money

10:08

come from? Because it is not very clear

10:10

how a guy who was managing money for a

10:12

billionaire Wexler

10:14

Wexler. We all know like if you're a

10:16

money manager, maybe you're making half

10:17

a percent a year No, that that was

10:19

documented. How he got all the money?

10:21

Leon Black, who's the founder of Apollo

10:23

in one year

10:25

paid Epstein $168 million for tax

10:28

advice.

10:29

That came out in the lawsuit that

10:32

ultimately led to Leon Black resigning

10:35

from Apollo. Right. And But did What did

10:38

the tax advice like? That's what he said

10:40

it was. Now look I'm not trying to high

10:42

roll anybody, but I've had all the tax

10:44

advisers come and

10:46

give me their advice.

10:47

>> cost you 168 million. It cost you 1,200

10:49

an hour. No, it's cost me millions.

10:52

Okay.

10:53

But it's never

10:55

I'm I'm hard-pressed to understand what

10:58

advice could have been given to me Yeah.

11:01

that where I would have paid $168

11:03

million. Now that's just my

11:04

>> news, here's your accountant, they just

11:05

sent the bill, it's $172 million. No,

11:08

no, no, it's crazy. Right, you're right.

11:10

And and look, if you go to the best

11:12

estate lawyers in the United States

11:14

Okay. it will cost you 5 to 10 million

11:16

dollars.

11:17

>> What do you think he was getting paid

11:18

for?

11:19

I mean, it was he getting a portion of

11:21

the savings for doing tax loopholes?

11:24

Maybe he was charging on some sort of a

11:25

commission, but he had he was a money

11:27

manager for many of these like Microsoft

11:30

executives, etc. And when Peter Thiel

11:32

said, "Why did you meet with him?" He

11:32

said, "Tax advice." Which makes total

11:34

That's a total Peter Thiel like

11:36

legitimate

11:38

That totally tracks. Peter Thiel was

11:39

known for his Roth, right? And he's

11:41

known for like studying these kind of

11:43

things. Makes total sense to me.

11:45

I think that we're going to have a bunch

11:47

of Larry Summers like embarrassing

11:48

things. There could be embarrassing

11:50

things there for Democrats, Republicans,

11:52

everybody in between, the scientists

11:54

obviously who went to the island and all

11:55

that stuff. It's going to be all

11:56

embarrassing. And I think we're going to

11:58

get to the end of the day, we're going

11:59

to find out that some intelligence

12:02

agency was somehow involved in this and

12:04

that's why it's being covered up and

12:05

that's why it's so toxic.

12:06

>> That's your prediction. That's That's my

12:08

prediction. Yes. Nostra Kenneth has

12:10

spoken. Which intelligence agency will

12:11

you pick? Yeah. Oh good, sir.

12:14

Look into your crystal ball.

12:16

>> I mean,

12:17

CIA I mean, it would be one of the big

12:20

three.

12:22

The CIA, which he was talking to I think

12:24

in this latest volume of emails, he was

12:25

talking to people from Israel, from the

12:27

CIA, and he was talking to Russians. He

12:30

was talking to all three in the emails

12:32

that have been leaked. So you could

12:34

>> talking to Russian intelligence? He was

12:36

talking to Russians. Oh my god. Um So,

12:38

yes. Russians I think is just generally

12:41

he was very involved with Russians.

12:43

>> Could you imagine how much anxiety we we

12:44

would have if that was our job? Could

12:46

you imagine? I can't even imagine. I

12:48

just want to go to my office, build some

12:51

stuff, make a few investments,

12:53

play with my kids.

12:54

>> people. You know? Like mess around. It

12:56

just seems like what what? Oh my god.

12:59

>> I just

12:59

>> when they make the movie, are you going

13:01

to play yourself or I mean, if you look

13:03

online, if you go to the edge.org site

13:05

and you look at those billionaire

13:07

dinners, you'll see me

13:08

in a couple of pictures with Larry,

13:11

Sergey, Zuck, Ev Williams when we were

13:14

all 29, 30 years old.

13:16

>> Jesse Eisenberg to play you? I know his

13:18

hair is curly and yours is straight.

13:20

>> more like Leo probably now or people

13:24

might say Ethan Hawke. I get a lot of

13:26

those, but I digress.

13:28

>> play a Ghislaine?

13:29

Quick I mean Who plays Which young

13:31

Ghislaine?

13:32

>> Reid Hoffman?

13:33

Reid Hoffman, who would play Reid

13:35

Hoffman, huh?

13:37

Yeah, I I just don't see a world in

13:39

which Reid was involved in shenanigans.

13:40

I'll be totally honest. I think he was

13:42

just trying to raise money. I think it's

13:43

like unfair that everybody is like um

13:47

who met him is being dragged into like,

13:50

"Oh, they were somehow a ped- a

13:52

pedophile." Like that's just crazy. Um I

13:54

think they were all trying to get

13:56

>> guy was a consummate networker,

13:58

obviously doing a bunch of stuff. He

14:00

funded all of those dinners. He was

14:03

funding all of these dinners. He was

14:04

hosting dinners in New York. In New

14:06

York, he was known for having these

14:08

dinner parties with

14:10

you know all kinds of famous people. You

14:12

can look online. He was constantly

14:14

>> business pretty much. His business was

14:16

to meet with people and he was To throw

14:18

dinners? To throw dinners, Chamath.

14:20

>> That seems calorically taxing. You know

14:22

what I mean? Like dinner parties, like

14:24

you overeat at a dinner party. Imagine

14:26

having like three of those a week. I

14:27

don't I don't know.

14:28

>> Jason, do you know anybody who's having

14:30

three dinner parties a week? It's a lot.

14:32

>> All right, um Jason and I went to

14:33

Carbone last night. Well, we'll talk

14:35

about it when Keating gets here.

14:36

That got a little heated. I mean,

14:38

speaking of

14:39

I'll talk about it when he gets here.

14:40

Somebody got out of line.

14:42

All right, thanks again to our friends

14:43

at the Venetian. Um

14:45

I had dinner last night with Paolo

14:47

Ardoino, CEO founder of Tether. Can't

14:49

wait to meet him. Amazing amazing guy.

14:53

That is an incredible business. But

14:55

don't they have $150 billion in

14:57

treasuries now? It is It is an

14:58

incredible Here's why that business is

15:00

incredible. This is what I learned.

15:02

>> about Tether, the stable coin.

15:03

>> Tether the stable coin. Yes. There are

15:06

500

15:07

million people

15:09

using US dollar back stable coins from

15:12

Tether all around the world. All over

15:14

Africa, all over Central America, all

15:16

over Asia. Number one. Number two

15:18

his user base is growing by 30 million

15:21

users a quarter.

15:24

It's the financial inclusion that then

15:26

ties back to US dollar hegemony is

15:30

unbelievable. So if you think about

15:32

Circle

15:32

>> Explain it to me like I'm an idiot who's

15:34

never bought a stable

15:35

>> Yeah. So it's like Here's like every

15:37

week, which is the one I have. Here's

15:38

like every other week.

15:40

So let's look at these businesses as

15:41

roughly the same. There's Circle,

15:43

there's Tether, there's World Liberty

15:45

Financial. They all have a stable coin.

15:48

What is it? Okay, so let's just say that

15:49

Jason

15:50

is a cash worker

15:53

in India. Let's just use that as an

15:55

example.

15:55

>> Sure. He gets paid 100 rupees.

15:58

And he's like, "You know, the rupee is

16:00

constantly getting devalued. I have I'm

16:02

constantly losing purchasing power. I

16:05

want to swap that into a US dollar."

16:07

So he would create a crypto wallet.

16:11

And what Tether will say is, "Great.

16:12

Give me your INR, your 100 euros uh

16:15

sorry, your 100 rupees."

16:17

They immediately swap it to a US dollar.

16:19

So now there's a US dollar and there's a

16:21

token for that dollar.

16:23

>> Right. I give Jason the token for that

16:25

dollar.

16:26

Now I have this dollar. What do I do

16:28

with it? If when I accumulate enough of

16:30

these dollars 50 billion, 100 billion I

16:34

can take that and I would invest it in

16:36

treasuries so that it's completely safe.

16:38

US treasuries.

16:39

>> US treasuries.

16:41

Now if Jason decides to send it to you

16:43

and then you redeem, I can sell a little

16:44

bit, $1 of those treasuries that I own

16:47

and undo the chain. And does Tether earn

16:49

all the interest on the treasuries? So

16:51

I'm getting to this. So So now

16:53

Tether and Circle and World Liberty,

16:55

they earn interest on that. And so now

16:58

when the number gets big enough, this

16:59

number gets ginormous. Then what they do

17:01

in Tether's case is they then reinvest

17:04

this capital into all kinds of

17:05

distributed assets. Bitcoin, gold, real

17:09

estate. But what they also do is they

17:11

now invest in things like financial

17:12

inclusion in Africa. So they He walked

17:14

me through kind of a bunch of things

17:16

that he's doing yesterday. It is

17:19

an incredible business.

17:20

>> And so as a holder of the stable coin in

17:22

my wallet, I'm not earning any of that

17:23

treasury yield. I just have a flat

17:26

dollar denominated or dollar protected

17:28

stable

17:28

>> a pegged to the dollar. You have a

17:30

dollar pegged stable coin. Right. And

17:32

that is sufficient risk management and

17:35

risk mitigation for half a billion

17:37

people

17:38

>> Right, they're not they're not trying to

17:39

get a 4% or 3% interest yield.

17:41

>> No, so now In fact, you're bringing up

17:43

the big point which is

17:44

In fact you're bringing up the big

17:45

point, which is in the United States,

17:47

what is what is the big fight now?

17:49

The big fight in the United States in

17:51

this thing called the Clarity Bill that

17:52

is meandering through the House and the

17:54

Senate

17:55

is

17:56

what should happen in the market

17:58

structure. So meaning

18:00

if you, David Friedberg is the one that

18:02

gave me the dollar and I am let's for

18:04

say for example say Coinbase and I issue

18:06

you a stable coin

18:08

do I share that revenue with you? Do you

18:11

earn all of it? Obviously the banks

18:14

like the JP Morgans of the world, the

18:15

City Banks

18:17

they don't want that, right? Because

18:18

that's their net interest margin. That's

18:20

what that's what happens today. You

18:22

deposit money in the bank

18:23

>> said this on the program. They The bank

18:25

goes off to the best in the stable coin

18:27

legislation, they weren't able to give

18:30

the stable coin providers the ability to

18:32

pay interest to consumers. They did that

18:33

concession, but that will change over

18:35

time. But the banks were able to fight

18:37

for that concession.

18:38

>> were able to fight for it. But then you

18:39

have the the emergent crypto companies

18:41

who say, "Hey, this is like let's find a

18:43

way where we can do a a sharing

18:45

mechanism." How they hack around it is

18:47

they do kind of sharing, but this via

18:49

this

18:50

kludgy way called rewards. Yes. So like

18:53

you earn rewards and you earn reward

18:55

points, but it's not really what it

18:56

should be. It should be that if you earn

18:58

that interest margin, you should be able

19:00

to share that. And and by the way, you

19:01

should be able to have different rules

19:03

in different markets because again, if

19:04

you're in Kenya, the last thing you're

19:06

probably thinking is do I get the 4%?

19:08

What you're more worried about is the

19:10

Kenyan currency, whatever it's called,

19:12

is about to depreciate another 60% this

19:14

year.

19:14

>> Right. Right. Let me just hedge that.

19:16

That's more than enough value. Anyways,

19:18

I thought Paolo was incredibly

19:20

impressive. Well, I will say this.

19:21

>> business is really impressive. I have

19:23

been super critical of Tether publicly

19:26

uh and they had a lot of challenges as a

19:29

business. They were banned in many

19:30

markets. They didn't do any audits.

19:32

People didn't know what was in there.

19:34

They've done an incredible job cleaning

19:36

all that up. Now they are starting to do

19:39

going from attestations to audits and

19:42

they desperately want to be legal in

19:44

America. In that legislation, they have

19:46

3 years to do it and they have to then

19:49

unwind being banned in New York, banned

19:50

in Canada, all these places they got

19:52

banned.

19:52

>> offer for you. Okay. I just want to say

19:54

what

19:56

I just want to give credit to David

19:57

Sachs. What we saw under Biden, and what

19:59

we saw with the anti-crypto

20:02

approach that they took, and and Trump

20:05

in his first presidency was anti-crypto

20:06

as well. That decade of anti-crypto led

20:09

to a lot of people doing offshore stuff

20:11

like Tether, a lot of shenanigans. And

20:14

actually Sachs, who can't make it this

20:16

weekend, he has now created a framework

20:19

which is helping people do it the right

20:21

way and taking out all of these

20:23

questions.

20:24

>> Yeah. And and Tether is example one.

20:26

They were involved in human Tethers have

20:29

been the default for all kinds of

20:31

>> know that for sure? The This has been in

20:35

our commercial hearings. They have

20:37

documented very clearly. Let's Let's not

20:39

make the accusation if we don't know.

20:41

What What I saw yesterday was a very

20:43

very very credible and thoughtful

20:46

entrepreneur and a great business. The

20:48

other thing, sorry, that I'll say is I

20:50

would like to invite you

20:52

to come with me

20:53

to the Tether conference at the end of

20:55

January.

20:56

>> Okay. We are going to go. He's never

20:57

turned down an invitation. Well, here's

20:59

what we're going to do. Here's what

21:00

we're going to do. We're going to fly

21:01

together to El Salvador.

21:03

We're going to do

21:04

>> We're going to do a tour of the prisons?

21:05

No, no, we're we're going to we're going

21:07

to do a we're going to do an interview

21:08

with Bukele. Okay. And then we're going

21:10

to do an interview with Paolo, and then

21:12

we'll fly home. Can I Will you come with

21:14

me?

21:15

Uh if I can ask him any question I want

21:17

and

21:18

>> You have to go check out the prison. No,

21:20

I've been told I've been told you you

21:22

cannot go to Urcot the first trip.

21:25

I don't want to go anywhere near that

21:26

prison, but if I can ask him any

21:28

question and he'll be fine with it.

21:30

>> He's great, dude. Yeah, I'm happy I'm

21:31

happy to go. Yeah, of course. In any

21:33

other world, he would have been in

21:33

Silicon Valley doing the same thing,

21:35

building a trillion-dollar The The other

21:37

challenge they're going to have is when

21:39

interest rates go down, these businesses

21:41

are going to have to figure that out as

21:42

well. But $183 billion in circulating

21:45

USDT, that's a ticker symbol right now.

21:49

135 billion of that's in Treasuries, and

21:52

then another like 10 billion in Bitcoin

21:54

and gold. And land. And well, and that

21:58

means they're throwing off whatever 5%.

22:00

They were making 7 8 billion dollars a

22:02

year just on the holdings.

22:05

Tell you what the details are, but I've

22:07

never seen a business in

22:07

>> No, they said it's a 500 The word on the

22:09

street is a 500 billion-dollar market

22:11

cap, which would be roughly 50 times

22:13

their

22:15

price-to-sales ratio.

22:16

They're making 10 billion. What's more,

22:18

it's

22:19

What do you What do you think their

22:21

profit margins are? Forget the growth

22:23

quantum. So, you only need 100 people to

22:25

run the business. Yeah, if the interest

22:27

is the revenue, it's probably 60 70%

22:30

margin business. Upwards of more than

22:32

95%. It makes total sense because you I

22:35

mean, how many people do you need?

22:36

>> thought last night at dinner? Here we

22:38

are grinding We try to get to 30 40 50%.

22:41

It's so many of our businesses.

22:43

And I And he's like, "Yeah, yeah." It's

22:45

incredible. It's incredible. The the

22:47

>> Good for him. Congratulations.

22:48

>> Congratulations. The good thing about

22:49

that is There's There's a There's a

22:51

financial theory though that high-margin

22:53

businesses like that invite competition

22:55

more.

22:55

>> Well, that's literally where I was

22:56

going. This is where competition gets

22:57

ground down.

22:58

>> Stripe bought the like a stablecoin

23:01

provider. It's pretty well known.

23:03

Stripe, Visa, everybody's going to have

23:05

their own stablecoin. So, Tether will

23:07

not have the market all to themselves,

23:09

and obviously Jeremy Allaire in Circle

23:11

is a very viable

23:12

>> Unfortunately, margin like that's only

23:13

got one direction to go, so. Correct.

23:15

And if the

23:16

>> All right, let's talk about Nvidia.

23:17

Yeah, and if the margin if the interest

23:19

rates go down, which is We'll talk about

23:20

that as well.

23:21

That's going to be headwinds for that

23:23

whole space. All right,

23:25

we've been talking a bit about the about

23:27

Brad Gerstner personally deciding to

23:29

blow up the AI bubble and then

23:31

destroying the stock market. I'm joking.

23:33

Shout out to Brad Gerstner. My gosh, the

23:36

short Bitcoin thing has been a bonanza.

23:38

Crazy. And then

23:40

Is it below 90? It is, right? It's like

23:42

87. I I know it hit 88 or something, but

23:44

I mean Watch out below.

23:47

Let's see the price. Watch out below.

23:48

Okay, let's talk about Nvidia. So,

23:51

Nvidia had a blowout

23:53

quarter. Revenue up

23:55

62%

23:57

year over year, 22% quarter over

23:59

quarter, net income 31.9 billion, that's

24:02

up 65% year over year.

24:05

Expect 65 billion this quarter.

24:07

Jensen, friend of the pod, has said that

24:10

they can't keep

24:12

their product on the shelves. It's sold

24:15

out everywhere. And then at the same

24:17

time,

24:18

Michael Burry, who has got the short on

24:20

it, he's been mixing it up. He is

24:22

posting in response, I think, to you,

24:25

Freeberg, last week making it in defense

24:26

of

24:28

the the reasonable life of an H100, of

24:30

these new chipsets,

24:33

you know, that Nvidia sells. Is it 4

24:35

years, 5 years, 6 years, 7 years? When

24:37

do they get replaced? When do they have

24:38

a useful life and GAAP accounting? He

24:41

believes, just to make it easy for the

24:43

audience to understand, that

24:46

major tech companies, big tech, are

24:48

cooking the books in order to spike

24:49

their earnings, that this is a house of

24:51

cards, and that he's going to short

24:54

Palantir because it's a 100-to-1 sales

24:56

price-to-sales ratio, but he's going to

24:58

also,

24:59

you know, short Nvidia, etc. because of

25:01

the depreciation. What are your

25:02

thoughts? I know you've seen his

25:05

comments, Freeberg. I downloaded the

25:07

GAAP depreciation rules. I was going to

25:09

play accounting corner jingle, which a

25:11

fan, by the way, sent me over the week.

25:13

Oh, great. But I can't I got the

25:15

internet working and oh, here it is.

25:16

>> We'll put it in post. I want to hear it

25:17

then.

25:30

Very nicely done, by the Thank you.

25:31

Thank you for joining me here at

25:33

accounting corner, and thank you to

25:36

Roxana Martinez for that incredible

25:37

jingle.

25:38

I think we should adopt it. Love it.

25:40

Love it.

25:41

>> Send in your jingles, folks.

25:42

Jason@eallin.com.

25:43

>> rules, accounting standards 360.

25:46

Here we go. Depreciation must reflect

25:48

the assets' estimated useful life, not

25:51

market innovation.

25:54

The specific language

25:57

Can you call us at 11:30 tonight and put

25:59

us to bed?

26:00

OKAY. THIS IS EVEN YOU FOUND YOU FOUND A

26:03

CORNER even more boring than science

26:05

corner.

26:05

>> People love accounting corner.

26:07

>> No, no, explain it cuz Okay, yes, it is

26:08

actually important. Under the GAAP

26:10

standards, the generally accepted

26:12

accounting principle standards. So, you

26:14

set a useful life, and you reset that

26:17

useful life as you do a reassessment on

26:19

when you're actually using that asset,

26:21

not necessarily if there's a better

26:23

asset that makes more value. So, let's

26:25

just explain this again. You make a big

26:27

investment in

26:28

property, plant, equipment.

26:30

PP&E.

26:32

And that investment you write down over

26:35

a period of time that you as an

26:37

accountant estimate to be the useful

26:38

life of that asset. So, if you're going

26:40

to use a building for 20 years, every

26:42

year you write down the cost of that

26:43

building by 1/20. You don't get to write

26:46

it all down in the first year.

26:47

In fact,

26:49

what Burry is arguing is that if you

26:51

wrote it all down in the first year,

26:52

your profit would go down and your

26:53

business would look worse.

26:55

So, when you make an investment that you

26:57

can use over a period of time, unlike

26:58

salary. When you pay someone a salary,

27:00

you're paying them for the hours they're

27:01

working that quarter, that year. And so,

27:04

that money is an expense. It gets

27:05

recognized as paid out that that period.

27:08

But when you make an investment in a

27:09

building or a piece of equipment that

27:11

you're going to use over time, you

27:12

depreciate it. Just to go through that

27:14

principle again. And so, there's

27:15

standards in GAAP on how do you

27:18

recognize the depreciation schedule?

27:20

What's the useful life? And the useful

27:22

life is when you're actually realizing

27:24

return value from that asset. Burry's

27:27

point is incorrect. On Twitter, he said,

27:30

"The idea of a useful life for

27:31

depreciation being longer because chips

27:34

from more than 3 to 4 years ago are

27:36

fully booked confuses physical

27:38

utilization with value creation. That is

27:40

incorrect. There is value creation

27:43

because they are generating revenue from

27:45

those chips this year, 6 years later.

27:48

So, there is in fact a useful life for

27:50

that chip that has extended into year

27:52

six. Now, let me ask you And so, it

27:53

doesn't matter, and this is a part of

27:54

the GAAP point that I wanted to bring

27:56

up.

27:56

So, what he's arguing is you should

27:58

depreciate it over, say, 3 years, which

27:59

means you're doubling the cost every

28:01

year, and then it's all written off in 3

28:03

years. But if you did that, to give you

28:05

a point of example, in Google's case,

28:07

their total net profit would come down

28:10

by roughly 10 to 12%. So, it's not like

28:12

they're cooking the books and

28:14

recognizing some massive delta in their

28:17

profit by doing this. The difference

28:18

between 3 and 6 years is roughly 12% of

28:21

their profit. And they're still using

28:23

these chips. And what GAAP says is that

28:26

only if the new asset, meaning the new

28:28

chips, replaces the old one,

28:30

then the old assets' remaining useful

28:32

life has to be marked down, and you take

28:33

accelerated depreciation that year. So,

28:35

Or if the maintenance costs spike, which

28:37

means you have to spend money to fix the

28:39

asset, which is not the case with chips.

28:40

The third is if the throughput

28:42

requirements exceed the old equipment

28:44

capabilities, forcing early retirement.

28:47

They're not retiring. They're still

28:48

making revenue off the old chips. Or if

28:50

technological obsolescence means that

28:52

you're putting it up for sale, then you

28:54

can meaning you stop using it after a

28:55

period of time. Yeah, and if you put it

28:56

up for sale, you would actually know the

28:57

market value of it. You could take that

28:59

from the depreciation.

29:00

>> textbook GAAP, which is that if you're

29:03

still using the asset after 6 years, you

29:05

can depreciate it over 6 years or

29:07

whatever. I conversation lacks technical

29:09

literacy.

29:10

So, let's assume you are Google,

29:13

and let's just say that the equivalent

29:15

of an output token was the equivalent of

29:17

a link. Right. The first thing you would

29:20

tell me is H not Not all links are made

29:22

equal.

29:23

Right? So, for example, if you generate

29:25

a link for a pharmaceutical drug, Google

29:28

charges a price per click that's way

29:30

different than the link that they

29:32

generate that goes to Amazon to buy

29:35

toothpaste. Right?

29:37

Now, for Amazon, it actually costs the

29:39

same amount of money to generate that

29:40

link. For Google, sorry. Right? I think

29:43

the thing that he needs to understand is

29:45

he's equating this to energy, but the

29:47

reality is that in AI models, the thing

29:49

that we care about is what is that

29:51

output token? What is the revenue that's

29:53

being generated?

29:54

>> That's right. What is the revenue that's

29:55

being generated by the output token? And

29:57

ultimately, what he doesn't appreciate

29:59

is that obviously Google and Facebook

30:01

and Microsoft and OpenAI

30:04

and X are not going to be in the

30:05

business of generating negative revenue

30:09

output tokens just for the sake of it.

30:11

How do you know that? My wife got to the

30:13

end of the internet this week.

30:15

She launched X, put it on voice mode.

30:18

She was stuck in traffic going from our

30:20

house all the way to San Mateo and back.

30:21

That's like 10 minutes. And she No, no,

30:23

it's 25 minutes up, 25 minutes back. And

30:26

she said, "Hey, you know what? I ran out

30:28

of tokens." Like it said, you can't use

30:30

it anymore in the store.

30:31

>> you mean? On Grok. Yeah, yeah.

30:33

Why do they do that? It's because they

30:35

are very conscious of there's a certain

30:37

energy output, there's a certain revenue

30:38

potential, and then beyond this, they

30:40

start to gate it.

30:41

>> Yeah, yeah. You do it on OpenAI, you do

30:42

it on all these things. So, they are

30:44

already keenly aware of the value of

30:45

these output tokens. They know the

30:47

revenue it's generating. Sorry, just one

30:48

thing.

30:48

>> Yeah. And then the second thing is in

30:50

the bowels of these organizations,

30:53

everybody has completely rebuilt all of

30:57

the decoder infrastructure. What does

30:58

that mean?

30:59

Before something gets to you, the user,

31:02

there's all kinds of different

31:03

manipulations that people are doing in

31:05

the models, after the models, before the

31:07

models.

31:08

And all of that stuff has been rebuilt.

31:11

So, I think what he needs to understand

31:13

and look, in fairness to him, what I

31:14

would say what GAAP needs to appreciate

31:16

is when when those laws were written,

31:18

it's for a factory.

31:19

It's for a turbine. And it's a static

31:22

thing. It probably doesn't do a very

31:25

good job of understanding the world of

31:27

chips.

31:29

But could he take a little bit of effort

31:31

to call somebody and actually learn how

31:33

this works? Yes. Is he doing it? No. So,

31:36

Yeah, I I I I I I I I I I I I I I I I I

31:37

I I I I I I I I I I I I I I I I I I I I

31:38

I I I I I I I I I I I I I I I I I I I I

31:39

I I I I I I I I I I I I I I I I I I I I

31:39

I I I I I I I I I I I I I I I I I I I I

31:40

I I I I I I I I I I I I I I I I I I I I

31:41

I I I I I I I I I I I I I I I I I I I I

31:42

I I I I I I I I I I I I I I I I I I I I

31:43

I I I I I I I I I I I I I I I I I I I I

31:44

I I I I I I I I I I I I I I I I I I I I

31:44

I I I I I I I I I I I I I I I I I I I I

31:45

I I I I I I I I I I I I I I I I I I I I

31:46

I I I I I I I I I I I I I I I I I I I I

31:47

I I I I I I I I I I I I I I I I I I I I

31:48

I I I I I I I I I I I I I I I I I I I I

31:48

I I I I I I I I I I I I I I I I I I I I

31:49

I I I I I I I I I I I I I I I I I I I I

31:50

I I I I I I I I I I I I I I I I I I I I

31:51

I I I I I I I I I I I I I I I I I I I I

31:52

I I I I I I I I I I I I I I I I I I I I

31:53

I I I I I I I I I I I I I I I I I I I I

31:53

I I I I I I I I I I I I I I I I I I I I

31:54

I I I I I I I I I I I I I I I I I I I I

31:55

Chat GPT to 2 billion users. We don't

31:58

care about it. And those machines are

32:01

going to have 90% of their utilization

32:04

in the first 3 years. And then for the

32:05

next 7 years, it'll be you know, 10% of

32:08

their value. They'll be doing some small

32:10

jobs in the background that won't be as

32:12

important. Accounting isn't built to do

32:15

this kind of refined depreciation

32:17

schedule.

32:18

>> what do you mean 90% of their

32:19

utilization? Because if they're still

32:21

making revenue

32:22

>> Value to the consumer. So, that let

32:25

if you theoretically think about the

32:27

value of that H100, what value did the

32:30

users get out of it? Well, the value

32:32

today is like I'm making goofy Sora

32:34

videos that generate no revenue. It's

32:36

all money losing. But down the road,

32:38

that might actually be, you know,

32:40

advertising and it might create some

32:43

number of clicks. It might create some

32:44

number of subscriptions, so we'll

32:45

actually be able to attribute revenue to

32:47

it.

32:48

There's no way to look at these devices

32:50

right now and to know,

32:53

you know, how much of them are actually

32:55

generating revenue in the first 2 years

32:56

versus the next 2 years.

32:57

>> I think we know now much more than we

33:00

did even 6 months ago how to value an

33:02

output token. And then what is the

33:04

what is the instructions we give to the

33:06

accounting community on how to deal with

33:09

that?

33:09

>> Dude, this is not that complicated. In

33:10

the past, there have been efforts to try

33:12

and change straight-line depreciation,

33:13

but your point of utilization, I don't

33:16

think is necessarily the correct one. If

33:18

they're still making revenue on that

33:20

chip every year, year four, year five,

33:22

year six,

33:23

>> Yeah, so even if it just makes a dollar

33:25

a chip, it's still generating revenue

33:26

for them. And I think that the Remember,

33:29

the cost of electricity and the cost of

33:31

running the data center is still

33:34

like it's still an expense in that

33:36

period. So, all of that shows up as an

33:38

operating expense. So, if it's

33:40

generating negative profit, negative

33:43

gross profit, the market sees that. And

33:45

I will say one more thing that I think

33:46

is really important. And they would turn

33:47

it off. Yeah, but they'll they'll

33:49

tolerate it to a point and then they'll

33:50

stop. You get Look, there's no hidden

33:53

information here. Burry's implication

33:55

that they are cooking the books or

33:57

hiding accounting is completely false

33:59

because all of the accounting is

34:00

apparent in the cash flow statement and

34:02

in the balance sheet. Remember,

34:04

companies have three financial

34:05

statements, an income statement, a

34:07

balance sheet, and a cash flow

34:08

statement. The cash flow statement

34:10

reconciles the income statement and the

34:11

balance sheet, makes the the linkage,

34:13

and it shows you all the cash that's

34:14

going in and out of the company. And

34:16

many analysts and many investors that

34:18

are intelligent and do their homework

34:20

will look at the cash flow statement and

34:21

they will see the CapEx, they will see

34:23

all the investments going out, and they

34:24

will calculate a number typically called

34:26

free cash flow that will allow them to

34:28

estimate the true cash generation of the

34:30

business in a particular period and make

34:32

an assessment of should they be valued

34:34

on free cash flow or should they be

34:36

valued on the GAAP standard of EBITDA,

34:38

and the investor has the choice on how

34:40

they want to value the company. And

34:42

Burry is incorrect in thinking that

34:43

they're hiding anything because it's all

34:45

there. They're following GAAP standards,

34:46

and then investors make a market, and

34:49

they all decide, "What do I want to

34:50

value this company on? Cash flow?

34:52

EBITDA?" Let them choose, and then the

34:54

market sets the price. I think we've

34:55

given this guy way too much airtime.

34:57

He's not very good at what he does. I

34:59

mean,

35:00

I mean, I'm sorry, but like this is just

35:02

>> Come on the program, Burry. We'd we'd

35:03

love to have Why would we click on it?

35:05

>> Is there any other random person out

35:06

there in the internet you want to take

35:08

Let's just

35:09

Use a magic eight ball to like generate

35:11

numbers and names.

35:12

>> say that there's a lot of people who

35:15

think highly of his analysis.

35:16

>> they're right and doesn't mean he's

35:18

good.

35:18

>> think it could be a good conversation.

35:19

You know who we've never had on the pod?

35:20

Stan Druckenmiller. Let's get Druck

35:22

before we get Michael Burry.

35:23

>> Have both of them. I mean, why why why

35:24

why why why why why why why why why why

35:25

why why why why why why why why why why

35:26

why why why why

35:27

Google released Gemini 3. It's pretty

35:29

great. They regained the lead on most of

35:32

the benchmarks. Polymarket now has

35:34

Google at 89% to finish the year as the

35:37

top LLM. And all the speculation that

35:40

Google was going to have their search

35:43

franchise absolutely slaughtered by Chat

35:46

GPT

35:47

has turned out to not be true, at least

35:50

not this year with their searches going

35:52

up, revenue going up. But the big story

35:55

is speculation around Gemini 3 being

35:56

trained only on Google's TPUs, not

35:59

Nvidia's GPUs. Your thoughts, Chamath? I

36:01

think TPU is an incredible product.

36:05

Unbiased, but

36:06

I think it's an incredible architecture.

36:08

This latest spin is very profound. But I

36:12

also think that

36:14

what we are quickly seeing is that

36:16

there's going to be a highly fragmented

36:19

layer of decoding chips that exist in

36:22

the marketplace. Grok is one, TPU is

36:25

one, Microsoft has a spin, Amazon has

36:28

Inferentia, Facebook I think is

36:30

apparently spinning up their own

36:31

silicon. So, we're going to get to

36:34

disaggregated decode pretty quickly. The

36:37

question is who will win? There'll be a

36:39

bunch of different solutions. I think

36:41

what's incredible about Google is I

36:43

don't know if you saw the stats, but

36:44

they went from like 8% share to like 16%

36:48

share of the entire

36:50

chat market as of like this last month.

36:53

That's an incredible stat.

36:55

On the enterprise side, Anthropic is

36:58

just absolutely crushing. So, what are

37:00

we seeing? We're seeing a nascent market

37:02

get created.

37:04

We saw an allocation of traffic that

37:07

basically favored one company over

37:09

everyone.

37:10

And now we're starting to see a sorting

37:12

function and a classifier in all of

37:14

these different markets. It's like

37:15

breaking apart, right? There'll be

37:17

winners in science, there'll be winners

37:18

in enterprise level coding, there's

37:20

going to be winners on the chat side.

37:22

And where are the advantages going to

37:23

be? On the enterprise side, it's going

37:25

to be model quality, Anthropic's is

37:27

excellent.

37:29

On the chat side, it's probably going to

37:32

pivot around your existing inherent

37:34

distribution. Which is operating system,

37:37

which is your browser, which is your

37:38

phone, which is Apple and Google and

37:40

Microsoft.

37:41

>> is that I agree that Google has done an

37:42

absolutely incredible job in defending

37:42

search. Yeah.

37:50

But I think what this creates

37:53

is the setup

37:56

where now they can cannibalize

37:58

themselves versus having their market

38:01

cannibalized for them. That's still

38:03

going to be a very I'm going to take the

38:05

other side of it. I think what's going

38:06

to happen is the AI gains in advertising

38:09

targeting and the number of searches is

38:12

going to go up. So, while the revenue

38:15

per search might go down, the number of

38:16

searches goes up, and then the targeting

38:18

goes up. So, I'm going to take the other

38:20

side of it. I think their search

38:21

franchise is going to grow, and that

38:24

Google's not going to lose to Chat GPT.

38:25

And I think the big loser in all this is

38:27

going to be OpenAI because they started

38:29

with 100% of the market, and they're

38:31

only going down, and they're facing a

38:33

Google firing on all cylinders,

38:35

Anthropic, and Grok beating them in the

38:38

leaderboards pretty consistently. So, I

38:39

think the short in all of this, if you

38:41

were going to put on the pair trade, is

38:43

short OpenAI, which I think is

38:44

overvalued,

38:46

and it's going to go down, and I think I

38:47

would be long Google, Grok, and

38:49

Anthropic. I think that they're going to

38:51

have many challenges. Also, I don't

38:53

think the startup community, I'll just

38:54

add this as my final thought on it. The

38:56

startup community is not trusting OpenAI

39:00

with their data. If you use OpenAI and

39:03

you see them releasing products like

39:05

Sora, if you were in the space of doing

39:08

image generation, social networking, why

39:10

would you trust OpenAI with your data?

39:12

If you're doing a cursor and OpenAI has

39:16

that product, they're not going to trust

39:17

them. They're going to go with a model

39:19

like Anthropic, which is taking a more

39:21

neutral, we're not going to go to the

39:22

application level, and they're also

39:24

using DeepSeek and open source models

39:26

again cuz they don't want to give their

39:27

data and their advantage over to a

39:30

person and enabling somebody who might

39:32

compete with them.

39:33

>> just Yeah, go ahead.

39:34

Make two comments. Sure. Um number one

39:37

is I think what we will see over time is

39:42

uh probably a differentiation of

39:44

general-purpose

39:46

uh workhorses in chip architecture to

39:50

more of these kind of special-purpose

39:52

uh chips that work well with certain

39:54

models and certain applications. You can

39:56

kind of think about inference in machine

39:58

vision and robotics. You don't

39:59

necessarily need an H100 to do that. You

40:02

can use a purpose-built chip to do that

40:05

in a way that

40:06

reduces power cost, reduces um ultimate

40:09

kind of capital cost to deploy that in a

40:13

edge environment. In the core data

40:15

center environment, you may end up

40:16

having models that are different for

40:18

graph neural nets versus LLMs. There are

40:21

going to be different chips that'll

40:23

likely fit very differently with

40:24

different architectures. So,

40:27

you know, I would say that the general

40:28

workhorse is what we had, but now that

40:30

everyone's making these investments, and

40:31

you should expect that the investment

40:33

dollars in chip design is only going to

40:34

ramp up, not down.

40:36

>> Massively.

40:36

>> There's going to be differentiated chips

40:38

for different markets and different

40:39

applications.

40:39

>> 100%. And that's where there's a risk to

40:41

Nvidia. The other kind of Who do you

40:43

think has the best chance of challenging

40:45

Nvidia?

40:46

>> So, this is where I was going to go.

40:47

That The other black swan that I think

40:48

is missing in the equation today, and I

40:51

my my early prediction for 2026 is

40:54

Huawei. Um where I think that there's uh

40:57

lithography technology that exists in

41:00

China that is not publicly discussed

41:03

that is going to be deployed in Huawei

41:04

and all these fabs that they're building

41:05

in mainland China, and Huawei can create

41:10

at a very low cost, probably very high

41:12

volume, and probably in reasonably short

41:13

order chips that can start to rival um

41:17

for certain market applications chips

41:19

that might be expensive and long

41:20

>> Give me a timeline for that. 2 years, 3

41:22

years out?

41:22

>> they're going to start to have an impact

41:24

on Nvidia. I think they're going to

41:24

start to make announcements. And by the

41:25

way, remember chip architecture, and

41:27

even Jensen's talked about this, is

41:29

being redesigned with AI. So, AI can

41:31

design better chips. Okay. So,

41:33

announcements 2026, impact 2027?

41:36

Probably fair. Sure. Yeah. Love it. Is

41:39

this what it'll be like when we have to

41:40

be in a studio? When we get to this

41:42

level of scale where our show actually

41:44

matters?

41:45

And we need to be in a studio.

41:47

>> we could be in a studio together. Yeah.

41:49

I mean, we'd have to um The show would

41:51

have never happened or worked.

41:53

Yeah, I mean, you have four people with

41:54

actual schedules and jobs. It's not like

41:56

we do this for a living. Oh, you do.

41:58

No, I mean, I invest in 100 companies a

42:00

year. Not well, but I'm saying you do

42:02

it.

42:03

No, my main So, you could have you could

42:04

have carved out the time. The rest of us

42:05

actually have jobs. No, actually, I

42:08

I literally just got back from watching

42:10

Founder University in That's what I'm

42:12

saying, watching. That's the keyword,

42:13

watching. You didn't say doing. You said

42:15

Founder University in Tokyo, thanks to

42:18

my partners there. Did you watch that,

42:19

too?

42:20

Uh and uh investing in 100 150 companies

42:24

per year and launching the fifth launch

42:27

fund next year. So, go to launch.co, and

42:30

uh you can email me anytime.

42:31

>> from you, by the way, recently. Yes,

42:33

good. I appreciate that. That first fund

42:35

is like 5 6X now. Yeah, but it was on

42:37

$8.

42:38

>> fund? Have you Have you hit a 5X fund

42:40

yet? Yes. Okay, great. So, welcome to

42:42

the club. Welcome to the club.

42:43

>> on 500 million, so it's Okay, great.

42:45

Awesome. Well, let me tell people it's

42:46

actually more than a 5X. Okay, great.

42:48

I'm I'm I'm I'm happy for you.

42:50

I'm happy for you.

42:51

>> I should have just done it with all my

42:52

own money. Uh that is actually the

42:55

question. I mean, that a lot of people

42:57

have. Do you feel you're a better

42:58

investor when you're investing your

43:01

money, or do you think you're better

43:02

when you have the discipline of having

43:03

to report into LPs? It's actually a good

43:05

question. My returns have been better

43:07

when I've been by myself, but I think

43:10

that there is something really valuable

43:12

about working for other people, which it

43:13

does keep you accountable. I mean,

43:15

what's happened is my dispersion has

43:17

increased massively investing on my own,

43:19

which means I cut the losers off far

43:22

longer than I would have if I was

43:23

running a fund, because

43:25

I think what I signed up for when I was

43:26

running a fund was never lose money.

43:29

Ever. And return the money as quickly as

43:30

possible, and then run the upside. And

43:33

so, I would have traded a 7X with high

43:36

vol for a guaranteed three and three and

43:39

a half X, because I think that was my

43:40

responsibility as the GP,

43:43

because my LPs were Memorial Sloan

43:45

Kettering, the Mayo Clinic. I wanted to

43:47

give them the money back, because they

43:48

have programs. Right.

43:50

>> And it's not my job to hold the money

43:52

back.

43:53

With myself, I can keep it out, so then

43:55

the ups are higher, but then the lows

43:57

are also lower,

43:58

because some of these things just

44:01

get annihilated. Like look like

44:02

Relativity Space, you know, I took a

44:04

$400 million dollar

44:06

goose egg. Yeah.

44:08

And this is the challenge for Friedberg.

44:10

>> Eric Schmidt shows up, and he's like,

44:11

"Here, it's a billion dollars pay to

44:12

play." And I'm like, "Okay, I'm not

44:13

going to do it." Yeah. So, it Friedberg,

44:14

you had a a venture studio for a little

44:16

while. You had to deal with outside

44:17

investors. Now, you're obviously in the

44:19

driver's seat, CEO of O Hullo.

44:22

You also had that pressure. You have to

44:23

answer to LPs. Did it make you better at

44:25

the job, or did it make you

44:28

>> Same investor. My venture studio owns a

44:30

the majority of O Hullo.

44:31

>> So, just So, it's our biggest driver of

44:33

value, so I'm spending all my time on O

44:35

Hullo. That's kind of my gig.

44:36

>> Do you run the production board still?

44:38

Like, are there investments that

44:40

>> I'm on a few other boards. Um But no

44:41

active investment.

44:42

>> doing any new investing. Actually, a lot

44:44

of folks moved into O Hullo or moved out

44:47

to stop doing new investing, and then

44:49

slowly we're kind of as we have a

44:51

liquidity event, we'll do a

44:52

distribution, but the goal is for TPB

44:55

to end up being a holding company with

44:57

just O Hullo in it. That's where all the

44:58

value's going to come from. So, we're

45:00

we're we we actually just did a

45:01

distribution, and then we're going to do

45:03

kind of distributions as we have other

45:06

kind of events for the other things that

45:07

are in our portfolio.

45:08

And then we'll just focus on O Hullo.

45:10

When you came into this venture studio

45:12

model,

45:13

did you anticipate,

45:15

which is what most people do anticipate

45:17

with venture studios, that you'd have

45:19

one breakout and you'd go all in on

45:21

that?

45:21

>> No, I was delusional. Okay. Um in 2011,

45:25

2 years before I sold Climate Corp, I

45:27

started a company called Metromile. I

45:30

was the chairman of the board of the

45:31

company. I hired an outside CEO, fired

45:34

him in a year, brought the promoted the

45:36

CTO to be CEO.

45:37

For years I worked with him as the

45:39

chairman of the board. I invested close

45:41

to 10 million of my own money in this

45:42

company, spent years on it. It had

45:44

raised a series B, a series C, series D,

45:47

was doing great. I'm like, "Man, this is

45:49

awesome. I can be a chairman, not a CEO,

45:52

run these companies. This goes great,

45:54

scale to like whatever it was, 100

45:55

million of revenue." I started Eatsa,

45:57

which as you guys recall was this quinoa

45:59

fast food restaurant. I put three

46:00

>> Robotic as well.

46:02

>> Robotic, 20 years ahead of your time. I

46:03

put 3 million of my own capital in the

46:06

business, and then I had a CEO run it,

46:09

and then we raised outside money, which

46:10

I was not planning to do in that

46:11

business.

46:12

And I'm like, "Man, I am so good at

46:15

starting companies and being a chairman.

46:17

This is what I should do." And that's

46:18

what led me to start the venture studio.

46:20

Both those companies ended up being net

46:23

negative returners for me.

46:25

And over time, many of the other

46:27

projects that I was a founder of but

46:30

chairman of didn't succeed financially.

46:33

And over my years being on boards, I

46:35

realized how frustrating it was to be on

46:37

a board where you would tell a CEO a

46:40

bunch of stuff. They wouldn't listen.

46:41

They would do whatever they wanted to

46:42

do. I was frustrated pulling my hair out

46:44

watching them do things I wouldn't do,

46:45

not doing the things I would do. So,

46:47

after many years of business failure

46:49

after failure, I realized,

46:51

you know, this was the moment where we

46:52

had this amazing outcome, series of

46:54

outcomes at O Hullo. And it was a

46:56

research project for several years. We

46:57

put close to $40 million into this

46:59

project before these results started to

47:01

come in. I'm like, "Holy This is

47:03

the game-changing business of my career.

47:05

This is the power law." And that's when

47:07

I made the decision, I'm going to go all

47:08

in on this, and I'm going to run it

47:10

>> How did the LPs take that? How did you

47:11

communicate to them? Everyone was very

47:12

supportive and very active. They They

47:14

were like, "This is exactly what we

47:15

always hoped you would do with the find

47:17

a winner." And I never thought that

47:18

that's what I would do, cuz I swore

47:19

after I sold Climate Corp, I swore I

47:21

would never be a CEO again. It's too

47:23

stressful. It was damaging to my health.

47:25

Uh it's like overwhelming. I'm so into

47:27

it. I cannot stop building the business.

47:29

It's just it consumes me. Everything

47:31

about it, I have to win. I have to make

47:33

the business an ultra success. It

47:35

consumes me. And I knew that it would

47:37

happen to me again, and I've got kids

47:38

and all this stuff. So, I had to really

47:41

like dig deep to make the decision to do

47:43

it. And actually, you know what changed

47:44

my mind about this was I saw the movie

47:45

Oppenheimer um I in IMAX, and I left

47:48

that movie, and I cried, and I realized

47:51

I wasn't doing what I should be doing

47:52

with my life by being um

47:54

you know, this board member who was

47:55

useless. I'm like, "What am I doing

47:57

here?" And I said, "I'm going to make

47:58

this time." And I'd been thinking about

47:59

this, and I'm like, "That's it. I'm I

48:00

tipped me over." And I made the decision

48:02

to step in as CEO. So, yeah, the LPs,

48:04

the investors were all thrilled, because

48:06

they had all said like, "We hope you

48:07

would run something one day." And then

48:08

more capital came in, and we've been

48:10

running O Hullo for the It's been 2

48:11

years now, this month that I've been

48:13

running O Hullo as CEO. Um and I'm

48:15

really happy I did it. Yeah.

48:16

>> That's incredibly inspiring. Chamath,

48:17

would you like to mock Friedberg for

48:18

crying at Oppenheimer in any way?

48:22

I saw you doing it.

48:23

He's doing it. He's like, Yeah.

48:26

Great movie, by the way. I cried I cried

48:28

when I got married. I cried when my kids

48:30

were born.

48:31

He cried AT OPPENHEIMER. HE'S LIKE, "OH

48:33

MY GOD, HE SPLIT THE ATOM." DO YOU EVER

48:35

DO YOU EVER HAVE DO YOU EVER ASK

48:36

YOURSELF, "What do I do with my life?"

48:37

Like, do you ever think like, "Hey, the

48:38

impact I thought I would have in my life

48:41

that there's a missing piece to that.

48:42

There's something that I didn't

48:43

accomplish that I always expected I

48:45

would, that there's something I didn't

48:46

achieve as a person." And then you see

48:48

these kind of extraordinary outcomes

48:50

that others do, and you're like, "Man,

48:52

what was I do What am I doing with my

48:53

life? What am I doing?"

48:55

I think that's um a pretty profound

48:56

insight you had. Uh and it sounds like

48:59

you made the right decision. All right,

49:01

next up on the program, one of our

49:03

favorite human beings. You know him from

49:05

high stakes poker. The one,

49:07

the only, the madman of the poker

49:09

tables, and the mensch in our poker

49:11

group, Alan Keating. Welcome.

49:14

>> What's up, Chamath?

49:14

>> Thank you for the kind introduction.

49:16

Have a seat. Have a seat. What's up,

49:17

brother? How are you?

49:18

>> You're sitting next to me. You're

49:19

sitting next to me. Oh, good. Good.

49:20

Good. Now, Alan, just like at dinner

49:21

last night. Yeah. You were on my right.

49:23

>> Let me Let me introduce you

49:26

So, Chamath, you were not at dinner last

49:28

night.

49:28

>> Hold on. Let me just do a proper

49:29

introduction so the audience understands

49:30

who Alan Keating is. We'll get to it.

49:32

Alan Keating, just type that into um

49:35

uh YouTube, watch a bunch of Alan

49:36

Keating clips. Alan uh, very famous

49:39

player.

49:39

>> Paraforce Keating.

49:40

Paraforce

49:45

Alan Keating ran uh, the high stakes

49:47

game here, the elite big game for many

49:50

years.

49:52

Um, then he started investing in

49:53

companies. He was the seed investor in a

49:55

little company known as Polymarket. Uh,

49:58

and he's gotten into uh, our friend

50:00

group. I don't know how many years ago

50:02

Chamath brought him in and he fit right

50:04

in and we started hanging out 10 years

50:06

ago and we got to know him. In that time

50:08

he also started to play high stakes on

50:10

TV, stopped running the big game here in

50:13

Vegas.

50:14

And on TV you're known

50:17

for playing

50:19

way above the rim in a way that to call

50:22

it non-traditional would be an

50:24

understatement. Take us through

50:29

Okay, go ahead Chamath. You You wanted

50:31

Yeah, look. Yeah.

50:33

Chamath will explain your career to you.

50:34

Go ahead. Listen up.

50:36

Keating at its at its core is an

50:38

exceptional player. Not a traditional

50:41

like, you know,

50:43

you'll see the some of the other guys

50:45

who are more solver oriented, but

50:47

Keating has incredible, incredible live

50:50

reads. Kind of like a modern, younger

50:52

generation of Helmuth. I mean, Helmuth

50:54

has

50:55

good live reads, but now, you know, he's

50:57

like an aging horse. We're going to have

50:58

Yeah, he's older. We're going to send

50:59

him to the glue factory soon. But

51:01

Keating, but Keating is in his prime and

51:03

what he can do is he can soul read

51:05

people, which when you're playing at the

51:06

high stakes, honestly, that's all that

51:08

matters cuz you can't play solver base.

51:10

At these at the stakes in which we play,

51:12

you cannot. You're just going to get run

51:13

over and that's why you see him being

51:16

able to do these things cuz everybody

51:18

else steps into the game,

51:20

they're like a deer in the headlights.

51:21

They're so afraid

51:23

and he is

51:24

very comfortable Yeah. and so he can see

51:27

and he can pick people off. Like when he

51:28

picked off Doug Polk with a four. How

51:31

does that happen? It's because he can

51:32

soul read people and he's he's he's

51:34

attuned to play this game. Keating, true

51:36

or false, can you soul read people?

51:38

Yeah, I think uh,

51:40

I I've I'm a navigating fear

51:44

on the poker table better than most. So

51:46

I I think when people are,

51:48

you know, afraid, they tend to give

51:50

things away or get scared or act

51:52

different and I I try to

51:54

The Doug Polk hand was that he messed up

51:56

the bet sizing on the turn. He ships the

51:57

turn, you fold. He puts himself in a

51:57

horrible situation where he's beforeding

51:58

the river. Yeah. He ships the turn, you

52:00

fold. Yeah. He puts himself in a

52:02

horrible situation where he's beforeding

52:04

the river.

52:06

I mean, you just soul read him. And it

52:08

was great. It was incredible. There were

52:10

a few different tells that I I

52:12

wondered if I should

52:14

delve into, but

52:17

But by the way, I think this is

52:18

important cuz a lot of people think

52:19

poker became solved because of computers

52:21

and AI and everyone uses trainers now,

52:23

but to your point, to Chamath's point,

52:26

like they're still at the core of the

52:28

elite level of the game, very much a

52:30

tell and psychology reading kind of

52:33

>> We'll get Nick to play picture in

52:34

picture this hand. How How big was the

52:36

pot in the end? Million something? No,

52:38

probably six 600. 6 700k?

52:41

>> 600,000,

52:42

Doug Polk, who's a phenomenal heads up

52:44

player, had ace king. Like the best in

52:46

the world.

52:46

>> You, like a ding dong, had

52:48

4 2. 4 2.

52:51

PLAYABLE.

52:53

75,000.

53:00

RAISED FLOP IT WAS It was like what?

53:02

Like 150 on the flop? 75 pre, 35, 75 all

53:07

in. Uh, Yeah.

53:09

Okay, so take us behind the hand. Like

53:10

what what's what's the read? And And why

53:12

are you playing 2 4 to begin with? Like

53:14

why don't you explain that to the Well,

53:15

he was a big bluff. people watching,

53:16

yeah. But explain the thinking there

53:18

because a lot of people

53:21

I

53:22

you know, a lot of people want to, like

53:25

you said, put everything into a solver

53:26

and reduce something into a vacuum and

53:29

and navigate that situation and I I

53:31

don't really have a passion for that. I

53:33

have a passion for like what's happening

53:35

in this moment. What's happening with

53:37

this person. What's happening with with

53:39

me. What are they perceiving me as and

53:43

you know, in that moment Doug had had

53:45

gotten some confidence around a couple

53:47

hands and

53:48

uh, there was a player in between that I

53:50

knew he didn't think much of his hand

53:53

and he didn't think much of my hand and

53:55

it seemed like an obvious situation for

53:57

him to pull it away from me

53:59

and uh,

54:01

I thought about re-raising all in

54:03

pre-flop just to

54:05

simplify it and and I think that was

54:07

probably a better way to do it, but um,

54:09

at the same time I I do a lot of things

54:12

for for the fun of it. And I thought

54:14

that'd be a little bit more fun to uh,

54:17

get him in a spot later on a couple

54:20

streets down where I could, you know,

54:21

bluff him out or call him down. And did

54:23

he have a tell on the turn or Yeah, he

54:26

goes, "75,000." Like kind of directly

54:29

and about an hour and a half before

54:30

then,

54:31

uh, he had the same tonality, same

54:33

cadence

54:34

uh, and he was just

54:36

uh, stealing airballing the situation

54:40

and

54:41

there was just a myriad of of things

54:43

where it was like,

54:45

"That might be something. I'm not sure.

54:47

That might be something. I'm not sure.

54:48

Well, here Here's a lot of things that

54:50

might be something and I'm pretty sure

54:52

that the combination of them leads into

54:54

this."

54:54

>> happens if you call and he shows

54:57

pocket jacks or something?

54:59

So, you know, and then do you like what

55:02

In those spots where you call off and

55:04

you lose,

55:05

how do you process losing $700,000 that

55:08

way?

55:08

Do you think this is so stupid? Why did

55:10

I do that? Or do you do you Are you

55:12

saying what's what's the self-talk?

55:13

What's the internal monologue?

55:16

I don't know. I I guess I don't know

55:18

where it came from, but I wanted always

55:19

kind of have a sense of humor around

55:21

whatever happens to me, you know, the

55:24

the things I can't control, the things I

55:25

can control.

55:26

You know, if I

55:29

I put myself in a spot, I I I've gotten

55:32

to a point where I can immediately

55:33

recognize how ridiculous what I just did

55:35

was and kind of laugh about it.

55:37

>> with it. Yeah. Yeah, sure. Like

55:39

>> you're forgiving yourself in during the

55:41

hand? Yeah, there'll be like an internal

55:43

part that's just like, "Yeah, of course

55:45

that was stupid. That was Why am I doing

55:46

this? So dumb to do that.

55:48

So to be able to pull off the hands you

55:50

pull off, you have to have a I don't

55:52

give a kind of attitude about This

55:54

is all a game.

55:56

It I don't take it too seriously cuz

55:58

that's where fear comes from.

55:59

>> the fear. Yeah, I think I think I just

56:01

recognized that people make bad

56:02

decisions when they're scared and that's

56:05

why I like

56:05

>> But sorry, say that again. Mastering

56:07

fear. You put in reps. How do you put in

56:09

reps to master fear? You just Because

56:11

that extends to many other things in

56:13

life. Right. Absolutely. Like we talked

56:14

about this in investing and, you know,

56:17

uh,

56:18

different strategies about how big of a

56:19

bet you want to make relative to your

56:20

bankroll and in venture and stuff like

56:22

that. Well, I I like making the bet

56:24

where if it doesn't work out, I'm I'm in

56:26

a little bit of trouble. Right. You like

56:29

to feel the pain. You like You like that

56:31

that You like it feels real. Yeah, it's

56:33

a motivator. It's It's something that

56:35

drives and I I I like poker. I'll put

56:37

myself in the same type of situation.

56:39

>> Just like 2 years ago, Keating calls me.

56:40

He's like, "Hey, this is like about

56:41

portfolio construction and like a

56:43

specific company." We won't say the

56:45

company. Talk for an hour and I'm trying

56:47

to give him my best advice. Look, here's

56:49

how you structure it to minimize

56:51

volatility. You know, take some of these

56:53

chips off the table. Do this. Do that.

56:54

He goes, "I really appreciate this."

56:56

Calls me 2 days later. "Yeah, so I

56:57

doubled down on this THING AND

57:00

OKAY.

57:04

YOU YOU DON'T YOU DON'T KNOW THIS, BUT

57:05

I'VE tripled down.

57:07

Well, here's the interesting

57:10

So, if you felt that that was where you

57:11

were going to go, why are you checking

57:13

it? Were you trying to check your sanity

57:15

or like what were you doing there? Like

57:17

why do you check? Um, I'm I'm inviting

57:18

him to the deep end.

57:20

I'm saying You want to come with me? No,

57:22

no, you're talking about me? No, no, I'm

57:24

asking why he called you.

57:26

No, no, I'm asking why he called Chamath

57:28

in that situation where you're going to

57:29

double down, triple down. I have access

57:32

to someone that's like infinitely

57:34

smarter than

57:36

the thing that I'm trying to understand,

57:37

right? You're You're jumping in the deep

57:38

end. Yes, yes.

57:40

>> Why are you asking him like should I

57:41

jump in the deep end first? Because I

57:42

want to earmark like all the reasoning,

57:45

right? I'm I'm setting

57:47

I I'm trying to understand everything

57:49

about this decision because

57:51

I'm going to live with the outcome of

57:52

that decision no matter what, right? So,

57:55

I want to remember

57:57

his take, my take, my feelings, other

57:59

people's thoughts and I want to

58:02

put that into like a little bit of

58:03

folder that I can come back to. you

58:05

unconsciously or you've discovered

58:07

something which is referred to as

58:09

superforecasting

58:10

um, in like uh, behavioral sciences,

58:13

which is if you write down and you

58:15

understand all the permutations of your

58:17

decision-making and then you reflect on

58:20

it years from now, you'll just be better

58:21

at decision-making. So, that's actually

58:23

what you're doing and I think it just

58:25

comes natural to you and you were going

58:26

to say when you thought the question was

58:29

about the Polk hand about inviting him

58:30

to the deep end.

58:31

>> Yeah. Unpack that concept of saying,

58:34

"Hey, we both know

58:37

that this is this hand's out of control.

58:39

We're in the deep, dark waters. There

58:41

could be sharks in there." It Explain

58:44

what you're doing cuz I've been in hands

58:46

with you where I feel like you just

58:48

dragged me out to the deep water where

58:50

I've got jacks or queens and then all of

58:51

a sudden I'm going to be playing for my

58:53

entire stack and they don't feel good

58:55

anymore.

58:56

Even though I have an overpair to the

58:58

board or whatever it is.

58:58

>> Yeah, that's a great point. I I I I just

59:00

think there's

59:02

some some purity or beauty in the chaos

59:07

after

59:08

everyone's after you get past where

59:10

everyone's prepared.

59:12

And I'm I'm interested in that space and

59:14

I have no interest in in the space that

59:17

everyone's prepared.

59:17

>> Everybody's got a plan until they get

59:19

punched in the face. You remind me of

59:20

Alex You're the Alex Ha- Honnold of

59:23

poker. Alex Honnold is the guy who

59:33

And you You see? Oh my god, HIS BESTIE.

59:42

AND LOOK GUYS, HELMUTH decided for this

59:45

special occasion with us here taping all

59:47

in for the first time in Vegas.

59:49

Uh Helmuth decided to wear a tracksuit

59:51

that's only 12 years old. He was one of

59:54

his newer tracksuits.

59:55

>> ago at Helmuth's birthday we each

59:56

chipped in I think three grand to buy

59:58

him a new wardrobe.

60:00

Yeah. Like it was like 70,000 in total.

60:02

Yeah, there was 20 of us.

60:04

We put in three grand.

60:11

No, no, this shirt you guys bought for

60:13

me. I will say this between No, hold on,

60:15

between that wall between that wall and

60:18

that wall you guys gave me all new

60:21

ton of clothes. No, no, I gave them to

60:22

my sons. Oh, okay.

60:25

Sit down.

60:26

PHIL HELMUTH, PLEASE SIT DOWN. I GOT TO

60:27

close the show. Hold on.

60:30

supplemental Yeah, three, two. All

60:32

right, Alan Keating, you're a mensch.

60:34

It's a pleasure to know you. Great to

60:36

play with you. And we're going to have

60:38

some exclusive content on our YouTube

60:40

channel of the besties playing poker

60:42

with incredible professional poker

60:45

players like Jason Koon, Alan Keating,

60:47

and then I think Phil HELMUTH MY TURN.

60:51

[Applause]

60:53

YOU LET YOUR WINNERS RIDE.

60:56

Rain Man David Sax

61:01

And as I said, we open sources to the

61:02

fans and they've just gone crazy with

61:04

it.

61:05

Queen of quinoa

61:08

[Music]

61:10

Let let your winners ride.

61:13

Besties are back.

61:16

And it's my dog taking a nice scenic

61:18

drive way Sax.

61:20

[Music]

61:24

We should all just get a room and just

61:25

have a one big huge orgy cuz they're all

61:27

just useless. It's like this like sexual

61:29

tension that they they just need to

61:30

release the house.

61:32

What? You're Beat beat. What? Bare your

61:35

feet. Beat. What?

61:37

We need to get merch. These are back.

61:39

I'm going all in.

61:42

[Music]

61:47

I'm going

61:48

all in.

Interactive Summary

This episode of the 'All-In' podcast features the hosts gathering in Las Vegas for Formula 1 and a series of high-stakes poker games. The discussion covers a wide range of topics, starting with the potential fallout and transparency issues surrounding the release of the Epstein files. The hosts then transition into a deep dive on stablecoins, specifically focusing on Tether, and the competitive landscape of AI chip infrastructure involving Nvidia, Google, and potentially Huawei. The episode also features a candid discussion on career choices, personal motivation, and professional risk-taking, followed by an appearance by professional poker player Alan Keating, who shares insights into his non-traditional, intuitive approach to high-stakes gambling.

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