Trump vs Harvard, Nvidia export controls, how DEI killed Hollywood with Tim Dillon

Trump vs Harvard, Nvidia export controls, how DEI killed Hollywood with Tim Dillon

Released Saturday, 19th April 2025
 1 person rated this episode
Trump vs Harvard, Nvidia export controls, how DEI killed Hollywood with Tim Dillon

Trump vs Harvard, Nvidia export controls, how DEI killed Hollywood with Tim Dillon

Trump vs Harvard, Nvidia export controls, how DEI killed Hollywood with Tim Dillon

Trump vs Harvard, Nvidia export controls, how DEI killed Hollywood with Tim Dillon

Saturday, 19th April 2025
 1 person rated this episode
Rate Episode

Episode Transcript

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0:00

right, everybody, welcome back to the

0:02

number one podcast in the world,

0:04

the all -in podcast after a triumphant

0:06

week last week. We had an

0:08

amazing episode. Thanks to Larry

0:10

Summers and Ezra Klein for joining

0:12

us for the great tariff

0:14

debate number four episode in the

0:16

world last week. And,

0:19

man, we got a banger ready for

0:21

you today before I get to that couple

0:23

of quick plugs. Did you call the DNC

0:25

to clean up the roadkill, Jason? I'm an

0:28

independent folks. Just I know these guys keep

0:30

trying to pin me as a Democrat. I'm

0:32

an independent critical thinker for life. But

0:34

I do think Ezra is got a

0:36

little PTSD. I haven't from Ezra. the

0:38

DMZ have a roadkill cleanup crew? You

0:41

know, it's amazing. You have an episode

0:43

like that where I thought you'd make great

0:45

progress on dealing with those issues and

0:47

came to some consensus at the end. And

0:49

then every single person universally, if they're

0:51

on the right, oh my God, Sax, you

0:53

can come off, destroyed them. You to

0:55

run the left. The left's position was, oh

0:57

my god, Saxon, Chamath finally got destroyed.

0:59

Anyway, you decide for yourself. We're just here

1:01

to talk about the most important news

1:03

stories. And all

1:06

in some... I think Chamath is right. I

1:08

think they sent the same crew that cleans

1:10

up the armadillos on the road. All

1:15

righty, here we go. September 7th to Angeles.

1:17

There a couple of armadillos left lying on

1:19

the side of the road. All right, okay. All

1:21

is going into its fourth year,

1:24

yada yada. September 7th to 9th,

1:26

apply. All in dot com slash

1:28

summit. Pronouns everywhere. I'm

1:31

trying to clean

1:33

up the pronouns. Shovels

1:35

weren't big enough for all the pronouns.

1:37

Freberg was on Jeopardy! Again, celebrity Jeopardy!

1:39

And I don't want to ruin it

1:42

for you, but he had an amazing

1:44

comeback victory. But really excited to have

1:46

on the program today one of your favorites. He

1:48

was on the show. Pre -election one

1:50

of my favorites Robert F. Kennedy

1:52

is with us again RFK. How are

1:54

you doing? I love the glasses.

1:56

You're gonna make America healthy and again

1:58

and welcome to the program RFK

2:00

Junior. We found out that

2:02

autism is caused mainly by

2:04

this show and we're gonna

2:07

have to take action. Started

2:09

to look at the different

2:11

causes, but we're thinking it is

2:13

the debate between Ezra Klein

2:16

and Larry Summers that is the

2:18

real villain here. Tremendous.

2:37

Everybody knows RFK is going to

2:39

do a great job. He's a little

2:41

bit weird, but wife is a

2:43

smoke show. I mean, an incredible wife,

2:45

RFK Junior. Incredible. Not

2:49

as good. Not as good. Okay. Well, I'm

2:51

trying to land it. Yeah. What am I supposed to do? I'm up against

2:53

some professional. You know, so, uh, welcome

2:55

to the program. moderate so they can

2:57

Yeah. Okay. Here we go. Don't talk over me. Okay. You

3:00

just sit, sit down. Can you do

3:02

what you did last week? Three, go. what's

3:05

that? What's that moderate for narcissists

3:07

who want to add one more

3:09

thing? Yeah, let the experts talk.

3:11

Yes, of course. Why

3:13

can't I talk? Why can't

3:15

I talk? Can

3:18

you please pass the ball? Just pass

3:20

the ball. Here we go. Let's

3:22

welcome our guest, Tim Dillon. He's

3:25

an incredibly funny comedian. He

3:27

has a new special. I'm your

3:29

mother on Netflix. He's the host. of

3:32

the award -winning, now in its

3:34

10th year, Emmy -winning, award

3:37

-winning. He's got the Emmy,

3:39

he's got the Tony, he's still gotta

3:41

get the Grammy and the Oscar, the one, the

3:43

only Tim Dillon of the Tim Dillon Show Pockets.

3:45

Thank you so much, thank you for having

3:47

me. I feel like I'm having a Zoom meeting

3:49

with Doge to prove what I've done in the

3:51

last week. the

3:54

way, this is the last thing

3:56

someone at the EPA sees. It's just

3:58

these four guys. They're just staring a

4:00

guy like Chamath going, well, we

4:02

tested some soil. I

4:04

think we got those numbers

4:06

back. That's what it feels

4:08

like here. I feel like I'm on

4:10

trial just trying to justify. My

4:12

stupid job. Would you

4:14

like eight months severance? Would you like

4:17

to be fired today? Which would you prefer?

4:20

It would have been very funny if

4:22

we actually were just if as

4:24

soon as Tim said that we had

4:26

Steve Davis, but yeah. Well,

4:29

interestingly, I, you

4:31

know, I don't want to speak out of

4:33

school or embarrass our guests, but Tim

4:36

was supposed to join us in February. Yes.

4:38

And like. The star he is, as

4:40

I mentioned, he's got the Emmy, he's got

4:42

the Tony, still working on the Oscar. And

4:45

the Grammy, he was supposed to be with us and

4:47

he canceled last minute and then we found out why.

4:50

He ditched us to spend the day

4:52

with Steve Bannon and going to Steve

4:54

Bannon podcast. Here they are. That's true.

4:56

What is this? Look at that. That's

4:58

Steve Bannon and Timmy. I a

5:00

23 in me and they didn't tell me my

5:02

ethnicity, but the only thing that came back was they

5:04

said that Steve Bannon was my father. Yes.

5:06

And here they are on the cyclone in Brooklyn.

5:08

Beautiful. They went out to Little

5:10

Italy. Little Italy here. By

5:12

the way, they've done a pretty decent

5:14

job. Wrapping up with

5:16

a little hookah. Or maybe a little bit more

5:19

in there. I don't know. Do you think Bannon

5:21

is 420 friendly? You tell us, Timmy.

5:24

I think anything, I mean, Bannon would

5:26

tell you if we could start farming

5:28

marijuana in America and the American working

5:30

class could share in the profits, I

5:32

think he'd be 420 friendly. He

5:35

would be 420 friendly, 420 friendly.

5:37

No Taiwanese marijuana though. Nothing, you

5:39

know, it's gotta be American. Can

5:41

I give a quick shout out, which

5:43

is 10 months ago, Tim Dillon. One

5:46

on the Tucker Carlson show I think

5:48

the title is called Disney boomers and

5:50

the creepy corporations that pretend to love

5:52

you really one of the Best pieces

5:54

of content I watched all of last

5:56

year Nick you should put the link

5:58

in the show notes. Thank you It's

6:00

incredible like thank you the whole thing

6:02

and 10 Two hours while spent I

6:04

would encourage everybody to watch it. It's

6:06

timeless content actually real good cultural observation

6:08

at the moment. It's really good Two

6:10

white guys talking in a in a

6:12

in a garage in Maine seems he

6:14

has a certain way. You know, I

6:16

I went to and did it there

6:18

and he has a way of just

6:20

kind of like slipping you into this

6:22

state of comfort. All of a sudden,

6:24

I just started talking about all the

6:26

money I've lost. He's great. He's great.

6:33

It's like Megan Kelly is great at it, too. I

6:35

just did her thing. And, you

6:37

know, she does it at her house and

6:39

I just show up and she's sitting

6:41

behind the desk and she goes, hi. And

6:43

you sit down and you're, and then

6:45

she goes, so your mother's a schizophrenic. Like

6:48

immediately you start crying to Meg and

6:50

Kelly. They're just good. They know what they're

6:52

doing. They know what they're doing. Let's

6:54

get to the docket. H20s

6:56

banned. The US and China

6:58

trade war has been escalating

7:01

on Monday the White House

7:03

informed Nvidia that they were

7:05

putting an indefinite export restriction

7:07

on NVIDIA's H20 chips to

7:09

China. And so in

7:12

this filing, NVIDIA said it

7:14

expects a $5 .5 billion hit

7:16

to the quarterly earnings stock drop,

7:18

6%. For those of you

7:20

who don't know, H20 is essentially

7:22

the weaker version of the

7:24

H100. It was designed actually to

7:26

comply with these export restrictions.

7:28

on AI chips and allow them,

7:30

NVIDIA, to sell something into

7:33

China. NVIDIA CEO, Jensen Huang, was

7:35

visiting China today. He told

7:37

Chinese state media, quote, the China market is

7:39

very important to us. Yada yada. Saks,

7:41

you're here. I

7:43

think you got some official information

7:45

for us on this. What's

7:48

the story here? Wasn't this supposed

7:50

to be the chip that

7:52

was made for China? In

7:54

a sense, I mean, there is a long history

7:56

to this. Okay. So first of all, just

7:58

to be clear, we're not talking about We're

8:00

talking about export controls. And

8:03

the export controls are designed

8:05

to prevent certain sensitive technologies,

8:07

technologies that could have a

8:09

dual use potential military as

8:11

well as consumer application from

8:13

going to China. And

8:16

this goes all the way

8:18

back to 2019. The first

8:20

Trump administration placed a ban

8:22

on extreme ultraviolet photography equipment

8:24

going to China. This

8:26

is the key technology in the

8:28

printing of transistors on the silicon

8:31

wafer in the semiconductor manufacturing process. And

8:33

there's only one company in the world

8:35

that makes these machines that cost like 200

8:37

million dollars is called ASML. It's a

8:39

company in the Netherlands. In any

8:41

event, the first term of administration prevented

8:44

these machines from going to China, which

8:46

I think in hindsight was a really

8:48

far sighted decision. Because if

8:50

it weren't for that, China

8:52

might today be dominating global

8:54

manufacturing of semiconductors and their

8:56

inability to get that sort

8:58

of lithography equipment, I think,

9:00

definitely put a dent in

9:02

their plans. Subsequent to

9:04

that, in 2022, the Biden administration

9:06

started adding leading edge chips to

9:08

the expert control list, like you

9:10

said, the H100. NVIDIA then

9:12

designed a new chip that was

9:15

basically a version of the H100, but

9:17

they reduced the amount of flops

9:19

or computational power. just below the thresholds

9:21

they continue selling to China. That

9:23

was called the H800. The

9:25

Biden administration then added the H800 to the

9:27

expert control list in 2023. So

9:30

NVIDIA developed the H20, which

9:32

again is kind of like

9:35

a nerf version of the

9:37

H100. This has less computational

9:39

power. I

9:41

think the issue is that FLOPs isn't

9:43

the only criteria by which you

9:45

can measure the power of a chip.

9:47

There's also now memory bandwidth. And

9:50

in the new paradigm of

9:52

reinforcement learning and test time compute,

9:54

memory bandwidth actually matters more

9:56

than the amount of flops. And

9:58

if you look at the memory bandwidth on

10:00

the H20, it actually has 20 % more memory

10:02

bandwidth than the H100. So I

10:05

think there's a view that this chip

10:07

is just frankly too good. And the

10:09

response I'd have to people who don't

10:11

think we should be restricting this is,

10:13

Are you against expert controls in general

10:15

or you just think that we're drawing

10:17

the line in the wrong place here? Because,

10:20

you know, I've heard folks like our friends

10:22

like Bill Gurley and so forth say that. Yeah,

10:24

it's about to pull. That we're making a

10:26

mistake. But I think the question for those people

10:28

is, would you sell them everything? I mean,

10:30

if China wanted to buy the latest NVIDIA chip,

10:32

the GB200, would you sell that to them?

10:34

Would you sell a million of those? Would you

10:36

sell them five million if they're willing to

10:38

pay a premium? It seems to

10:40

me that at some point you have to

10:42

say, that some technologies are just too

10:44

sensitive to be sold to China. And so

10:46

then the question is, are you drawing

10:48

the line in the right place? Let me

10:51

bring Freberg in on that. Freberg, friends

10:53

of the pod like Gavin Baker, said these

10:55

tariffs and these type of bans are

10:57

going to essentially guarantee that America will lose

10:59

AI because, and Gurley as well has

11:01

this position, that we're now going to make

11:03

China force them to make their own

11:05

chips. Now, necessity will be

11:07

the mother invention, and it's going to

11:09

escalate, and we'd be better off

11:11

just selling them. these instead of the

11:13

latest ones. What's your take on

11:15

that, that this will be the inspiration

11:17

for them to build their own

11:19

Nvidia? It's an important question. Last

11:21

year, China announced

11:24

and began a $37

11:26

billion investment in

11:28

developing their own 3

11:30

-nanometer chip technology. So

11:32

the EUV lithography systems

11:35

that SAX is referencing, require

11:38

these wavelengths of light at about 13

11:40

and a half nanometer, which is, you

11:43

know, the previous technology was like 200

11:45

plus nanometer. So it's very, very small

11:47

wavelengths of light that you have to

11:49

be able to manipulate in a very

11:51

kind of discrete way to print circuits

11:53

that are just three nanometer scale. And

11:55

so it turns out that last year,

11:58

China made a claim that this investment

12:00

they had made was starting to pay

12:02

off and they had developed their own

12:04

EUV system. And they're

12:06

big semiconductor companies called the

12:08

Semiconductor Manufacturing International Corporation,

12:10

or SMIC in China. They

12:13

launched a chip, a seven nanometer

12:15

chip with Huawei in their Mate

12:18

60 Pro, which is sort of

12:20

like their iPhone competitor in China.

12:22

And so they're proclaiming that they've already got

12:24

this EUV technology from what I understand

12:26

in sacks would know better than I. It

12:28

sounds like there was a lot of reverse

12:30

engineering and work around. of

12:32

existing technology in order to deliver

12:34

that system. But they

12:37

may now already be investing in and

12:39

developing their own system. So,

12:41

J .Cal, I think they're doing it either way.

12:43

I think that they're going to invest and

12:45

build their own EUV and chip manufacturing capacity either

12:47

way. And the question is, does this slow

12:49

them down or limit their ability on the application

12:51

or the AI layer to kind of be

12:53

held back for some period of time? it accelerates

12:55

because they have no choice but to accelerate

12:58

their commitment to it. Tim,

13:00

you've been talking about these EUV

13:02

technologies in the 200 nanometer. It's

13:04

my entire space. It's my entire

13:06

special. It's a little crazy that

13:08

you'd rip me off like this. My

13:10

entire special is about

13:12

the lithograph. And that's

13:15

the hour that I

13:17

do. You know, I'm of

13:19

the mind if you give a man

13:21

a chip, he makes one semiconductor or

13:23

a few. But if you teach a

13:25

man to make a chip, he makes

13:27

multiple semiconductors and invades Taiwan. So

13:29

that's where I am with this, you know? I

13:33

think we should keep them dependent.

13:35

Keep selling it to them. Keep

13:37

selling it to them. Treat it

13:39

like purpose. understand how this works.

13:42

If somebody becomes addicted to the good stuff,

13:44

then they come back. You don't want

13:46

to give them too much. And you hide

13:48

a little, you backdoor the technology with

13:50

a little surveillance and stuff to have some

13:52

fun. Have some fun. You know, that's

13:54

been done before. Absolutely. Sure, back

13:56

doors all the time. door technology, a

13:58

little surveillance capability, you slip it in

14:01

there. Yeah. Chamath, what's your

14:03

thoughts coming around the horn here? You

14:05

were sort of talking about, I

14:07

think, publicly, obviously, you've got

14:10

GROC and so you're in the

14:12

space with chips. Does this

14:14

net -net end of the day

14:16

slow them down or slow them

14:18

down short term, speed them up

14:20

long term? I think that the

14:22

technology that they need is extremely

14:24

non -trivial, and I do think that

14:26

it actually slows them down quite

14:28

a bit if they don't have

14:30

access to it. Can

14:32

I just take a step back and up -level

14:34

this? I think it was in 2017, the

14:37

State Council of China published

14:39

this plan, and they were incredibly

14:41

transparent and honest. They said,

14:43

this plan is for China to

14:46

become a global leader in

14:48

AI by 2030. And

14:50

it said, so this is in 2017.

14:52

And they said, by 2020, we need

14:54

to have made iconic advances. By 2025,

14:57

we should be a major engine of the industry.

14:59

And by 2030, they should

15:01

occupy the commanding heights, they

15:04

said, in AI tech. OK.

15:06

So why is that important? To

15:09

be honest with you, I think the real problem

15:11

that we have is that Nvidia is not doing what

15:13

is in the best interests of the United States. Oh,

15:16

David mentioned this. When the

15:18

US banned the sale of

15:20

the top end GPUs, the

15:22

A100 and the H100, they

15:24

quickly introduced the A800 and

15:26

H800. What does that mean?

15:28

Well, all it was was just a chip that

15:30

was basically the same. It's

15:33

slightly reduced the data transfer speed so

15:35

that it went under the export control

15:37

threshold, but it was still

15:39

really usable. Then late last

15:41

year, they introduced this thing called this

15:43

H20 that was explicitly designed for

15:45

China and to be compliant with US

15:47

rules at the time, which again

15:49

gives these guys substantial performance. Okay, so

15:52

what do you have? You

15:54

have a 2017 plan that they've been executing

15:56

against, which is to say, we want to

15:58

dominate this space. And you

16:00

have an American company that has been

16:02

working around the guidelines at every turn

16:04

to try to land silicon into the

16:06

hands of China. So then you would

16:08

say, well, maybe there's not that much

16:10

going into China. Nick, can you just

16:12

throw up the chart that I sent

16:14

you about Nvidia's revenue composition? So

16:17

let's just call a spade

16:19

a spade, guys. I think we

16:21

can all do the math.

16:23

About 47 % of all of

16:25

Nvidia's revenue goes to China and

16:28

Chinese related countries. And

16:30

I think when you peel

16:32

back this onion, I think

16:34

what you will find is

16:36

a whole raft of companies that

16:38

were stood up to buy

16:40

these Nvidia GPUs to essentially act

16:42

as a way station for

16:44

China. And I think that is

16:46

the big problem, because it

16:48

doesn't mean that it was just

16:50

these chips that David and

16:52

his colleagues put on an export

16:54

control list. It was every

16:56

kind of chip. And now it

16:58

explains, every single time we

17:00

have an advance in the United States, how

17:03

is it that Alibaba shows up

17:05

with something incredible, DeepSeek shows

17:07

up with something better. At

17:09

every turn and at every step of

17:11

AI, they are at the same rate

17:13

or one step ahead. And I suspect

17:15

it's because that these chips are being

17:17

used in very sophisticated ways behind the scenes.

17:19

And I think that's the issue that

17:22

we need to address. So just to be

17:24

clear, the Insight

17:26

you have here the prediction is people are

17:28

selling these to Taiwan. They're selling them in

17:30

Singapore. I think it's more Hong Kong I

17:32

think it's a group that are zipping them

17:34

over to China mainland or letting them use

17:36

them I don't know if you saw but

17:39

I believe there was a report that there

17:41

was a couple Singaporeans that were arrested for

17:43

actually trying to bring the chips into China

17:45

I don't think it's necessarily that I think

17:47

what happens is you have some entity that

17:49

springs up You know ACME corporation ACME corp.com.

17:51

They show up in Bhutan or Cambodia or

17:53

Vietnam or Singapore And they

17:56

provide a PO, a purchase order to

17:58

NVIDIA, $300, $500,

18:00

$800 million. What

18:02

do you think NVIDIA is going to do? They're going

18:04

to think, well, this is a legitimate Singaporean entity. I'm

18:06

going to sell them the chips, whatever they want. It

18:08

checks all the boxes and

18:10

they look away. And

18:13

what we need to now figure

18:15

out is what happens once those chips

18:17

get delivered. It is the

18:19

only explanation for this. You don't

18:22

have this requirement for this number

18:24

of GPUs for those end markets.

18:26

There is only one end market.

18:28

That's an explosive allegation. Saks,

18:31

what do you think of

18:33

this theory more broadly? I think

18:35

it is a fact that

18:37

there have been both legal and

18:40

illegal attempts to evade the

18:42

US export controls. That

18:44

is true. And there's a number

18:46

of companies that have done

18:48

it. For example, last year, there

18:50

was a case where TSMC

18:52

was discovered to have produced something

18:54

like 3 million chips that

18:56

went into the Huawei Ascend 910C

18:58

chips. I think there's like

19:00

3 million dies or something that

19:02

went into the Huawei Ascend

19:04

chips. And I think they're being

19:06

fined for that. And again,

19:08

this is all public information. Now,

19:11

they claimed that they thought it

19:13

was for a company called, I

19:15

think, SoftCo. It's basically a Bitcoin

19:17

like ASICS company. But nonetheless, this

19:19

did happen. So there have been

19:21

attempts to set up shell companies

19:23

to circumvent the export controls, and

19:25

it is a very big problem.

19:27

Tim, what do you think more

19:30

broadly about what Trump is doing

19:32

with this trade war in China?

19:34

Any takes on China, Taiwan, and

19:36

just how Americans should look at,

19:38

hey, maybe we have to buy

19:40

some more high -quality products. Maybe

19:42

we don't get things on Timu

19:44

as cheap with these $850 exemptions,

19:46

et cetera. I think roughly Trump's

19:48

instincts are correct. I think the

19:50

way that the tariffs rolled out

19:52

seemed to be incredibly chaotic. I

19:54

think that's a huge problem with

19:56

a lot of what the Trump

19:58

administration does. They seem to

20:00

have the correct instincts, but they

20:03

have like a very sloppy rollout, right?

20:05

Like everything's a hard launch. Everything's

20:07

incredibly... I don't know that things are

20:09

messaged the right way. The whole

20:11

doge thing is... little bit of a

20:13

fiasco because the messaging seemed off

20:15

like nobody was out really talking about

20:18

what they were doing and why

20:20

they were doing it. You

20:23

know, I don't know how well this

20:25

works. You know, I mean, you have a

20:27

very integrated global economy. You guys know

20:29

more about that than I do. Are

20:31

you able to unwind that? And if

20:33

you do, you have to unwind it in

20:35

certain areas and certain areas you're going

20:37

to have to allow to

20:39

probably remain relatively stable and

20:41

consistent, right? I mean, if

20:44

you listen to Ray Dalio, he

20:46

talks about like a disaster coming with

20:48

monetary policy, right? The whole unwinding

20:50

of these economic and political structures kind

20:52

of happening at once. I

20:55

don't know. I think Americans do

20:57

over -consume a lot of crap. I

21:00

think cheap goods aren't

21:02

necessarily the highest organizing

21:05

principle of a life.

21:07

I think people have been

21:10

sold the idea that

21:12

cheap goods are more important

21:14

than having a stable

21:16

functioning job and family. I

21:18

think the gig economy has

21:20

been sold to Americans as a

21:22

way to offer them freedom

21:25

and really in chaos at the

21:27

expense of the stability that

21:29

used to come with a job

21:31

with benefits that you stayed

21:33

in for. But

21:35

the other component to that is,

21:37

you know, we have

21:39

to make sure that, like, you know,

21:41

we don't have skyrocketing prices that completely

21:43

decimate people either. So I think you

21:45

need to find a balance. I want

21:47

to see my friends work in factories. I

21:50

want them to get hurt. I want

21:52

to release the safety standards. I

21:54

want child labor. Children are

21:56

terrorists, many of them. They

21:59

start fights in malls. They have

22:01

flash mobs. They run around Chicago.

22:03

trying to kill people that are just

22:06

trying to have shellfish showers on

22:08

the river. So yes, children

22:10

should work. My friend should

22:12

work in a plastics factory. Door

22:15

dash is a horrible job. You

22:18

lose a finger at a factory. It's

22:20

a story. Delivering burritos is

22:22

a hell. Driving Uber,

22:24

all these horrible degrading things we make

22:26

people do. And then tell them

22:28

it's great. And then we look,

22:30

you know, you should destigmatize. being an

22:32

electrician, a plumber, a contractor,

22:34

all these things that when I was

22:37

told, you know, when I was growing up,

22:39

they'd point to a guy doing construction and go,

22:41

you're going to do that if you don't do your

22:43

homework. And then the people that did their homework

22:45

are all, you know, bankrupt. And that construction guy, you

22:48

know, is killing, is killing, is doing pretty

22:50

well. And so what he went to January six,

22:52

he went there peacefully. But the

22:54

whole thing is like, I think

22:56

you need to figure out, you

22:59

know, how to kind of

23:01

reintroduce the idea that this

23:03

gig economy, where people serve

23:05

from one unfulfilling nightmare to

23:07

the next, should

23:09

be thought. Yes, better

23:11

to be in a factory, losing

23:14

a finger in the field. In

23:17

David's estimation, when

23:19

you're talking about these companies that

23:21

are set up to get these chips

23:23

that evade export controls, you

23:25

think is that the Chinese government

23:27

doing that? Is that an intelligence agency

23:29

doing that? Who would be setting

23:31

those companies up? Is it people that

23:33

are interested purely in profit and

23:35

that are then selling those chips? That's

23:37

super interesting. Well,

23:40

I think you have to ask the

23:42

question, Qui Bono. I mean, who benefits?

23:44

Right. think clearly the shell companies, the

23:46

front companies are set up by either

23:48

the Chinese government or entities in China

23:50

to evade the export controls because ultimately

23:52

they want the chips. However, I think

23:54

there is also a problem that Lenin

23:57

described as the the capitalist will

23:59

sell us the rope with which to

24:01

hang themselves. And I do

24:03

think there are a lot of Western companies

24:05

that will look the other way or turn

24:07

to blind eye and just haven't been enforcing

24:09

the rules as religiously as they should because

24:11

it's profitable not to. And this is where

24:14

I do think that the US government has

24:16

to be pretty tough. I mean, if we're

24:18

going to have expert controls in the first

24:20

place, I know there's some people who don't

24:22

think we should have them, but I do.

24:24

I mean, I don't think we should let. China

24:26

have access to our leading edge

24:28

AI technology, we have to make sure

24:30

that the export controls are effective. And

24:33

that means there has to be

24:35

some cracking down in order to make

24:37

that happen. Part of the

24:39

crackdown is we have to define

24:41

the boundary lines in a more

24:44

effective way with fewer loopholes so

24:46

that companies can't legally take advantage of

24:48

those loopholes, but also we're going

24:50

to need more monitoring, more inspection

24:52

and more enforcement. This

24:54

is one of the few areas of the government that

24:56

actually think needs more resources. I think

24:59

that Elon and Doge have identified many areas

25:01

of the government that are massively overstaffed. But

25:03

this is one area, there's

25:05

an agency inside the Department of

25:07

Commerce called BIS that actually

25:09

has to do all of this

25:11

monitoring and inspections and enforcement.

25:13

And I actually think they're understaffed

25:15

relative to the importance of

25:17

this particular task. Let's have a

25:19

thought starter for a second,

25:22

guys. Do you guys think that

25:24

if 47 % of all of

25:26

the AI capability and horsepower

25:28

is being shipped to three Asian

25:30

countries. Where

25:32

do you think the apps

25:34

that require that amount of

25:36

horsepower live? Is there

25:39

a cursor of Bhutan that we

25:41

did not know? Is

25:43

there a great shopping app in

25:45

Cambodia that's come out of

25:47

nowhere that's AI powered? I

25:49

think the answer is no. So we

25:51

already know what the answer is. The

25:54

question is, this is

25:56

a case where you have

25:58

plausible deniability, right? I

26:00

sell something to a

26:02

Singaporean registered company, plausible

26:05

deniability. What am I supposed to do?

26:07

You can't expect me to audit it. I

26:09

think that's what NVIDIA's answer will be

26:11

to this question. But what is

26:13

the real expectation? Let's flip

26:15

it on its head. Last week,

26:18

China in retaliation for tariffs,

26:21

Constrain the supply of rare earths

26:23

outside of China right leaving China.

26:25

You had certain factory lines that

26:27

just had to stop on a

26:29

dime right so. They're clearly in

26:31

a position to understand their supply

26:33

chain who benefits or who doesn't

26:35

benefit and can be hurt by

26:37

constraining supply and they're able to

26:39

affect that. At a minimum the

26:41

United States should have a mechanism to understand it

26:43

whether they do it or not should be up

26:46

to you know powers that be that are bigger

26:48

than. than the four of us or the five

26:50

of us. But that's my point, which is that

26:52

it is implausible that if you did one or

26:54

two layers of work, you would not find that

26:56

most of this traffic is being used by Chinese

26:58

organizations. That may be okay. And

27:00

that's a decision that the United States government

27:02

should make. But it's something that should be

27:04

disclosed to them somehow. And I think if

27:06

you look at the composition of revenue for

27:08

NVIDIA, it is inconceivable that there's a bunch

27:11

of Asian AI apps that are just crushing

27:13

it so hard. No, no. I mean, it's

27:15

so obvious what's happening there. I think

27:17

we Yeah, I think we don't

27:19

need to guess if Taiwan and Vietnam

27:21

do not have the need for that many

27:23

Domestically they're obviously flipping them to someone

27:25

right. It's a it's a it's a given

27:27

some percentage of those are being resold.

27:29

Hey, uh free bird You were on jeopardy

27:32

free bird went to the next round

27:34

wait This is the outro to that. I

27:36

wanted to get Tim in on the

27:38

Jeopardy thing. You should have done like a

27:40

more broadly accessible topic like ours. No,

27:42

the chips are great. I like the chips.

27:44

Do you like that, Tim? I learned

27:46

something. The plausible deniability is interesting. It's

27:49

like the banks that dealt with Jeffrey Epstein, and I know

27:51

it's a sore topic because he was the fifth man

27:53

on this show and RIP and we miss him. The

27:56

show has never been the same. honest, he would have been phenomenal

27:58

on the show. Let's just say he have been good on the show.

28:01

And he would have been good on the show,

28:03

but no, that was a very interesting topic.

28:05

I've never been on a podcast where topics been

28:08

handled. And I'm going to go on Joe

28:10

Rogan tomorrow and just say everything Chamath just said.

28:12

I'm going to go, I'm going to go,

28:14

what did he say? Can we level this

28:17

up or something? Can we high level this?

28:19

What did he say? Can we up level

28:21

it? That's interesting. I say that at Chili's,

28:23

I go, can we up level this? For

28:25

a minute? Yes, $199 extra if you want

28:27

that. If you want the extra jalapenos, Tim.

28:29

So what's going on? Harvard, are we selling

28:31

that to China? I'm for that. Yes. Well,

28:33

there's been a Donny book, if you will,

28:36

Tim. Yeah. In between Trump and Harvard. too

28:38

smart to buy Harvard. They know

28:40

it's a scam. That's a good point.

28:42

Here we go. I just spoke like

28:44

a true Stanford guy. On March 31st,

28:46

three federal agencies announced they were reviewing

28:48

$9 billion, $9 billion in

28:50

multi -year federal grants and $256 million

28:52

dollars in contracts. I went to

28:54

Harvard, three agencies, Education Health, and

28:57

the GSA. This past

28:59

Friday, April 11th, the group sent a

29:01

letter to Harvard's president and the

29:03

head of Harvard Corporation, laid out a

29:05

series of changes. The White House

29:07

is demanding merit -based hiring and admissions

29:09

staff, admissions students, all that good stuff.

29:12

Cancel all your DEI programs.

29:14

No more die. reform international

29:16

admissions. No more admitting students

29:18

that are, quote, hostile

29:20

to American values, increase

29:22

the different viewpoints on diversity

29:24

across all departments and

29:26

abolish admission practices that served

29:28

as an ideological litmus

29:31

test. Harvard's president, Alan Garber,

29:33

said he would not

29:35

comply. Later that day, the

29:37

White House responded by freezing 2 .2 billion in

29:39

grants, 60 million in contracts. They

29:41

now want to take away

29:43

the White House. the tax -exempt

29:45

status of Harvard, which would

29:47

be absolutely insane. It's

29:49

happened actually once before in

29:52

1970s. Bob Jones University in

29:54

South Carolina was doing outwardly

29:56

racist stuff. And the

29:58

IRS, according to the CNN, is

30:00

looking into this. Your thoughts, Shema.

30:05

Well, it's more than the IRS is

30:07

looking into it. They're thinking of revoking

30:09

their tax -exempt status. Yeah. How

30:11

about I tee this up slightly differently?

30:13

Tim, you brought up something that I think

30:15

is really important, which is what is

30:17

the American dream for all these people that

30:19

are cascading between half jobs and half

30:22

measures? That's right. That's

30:24

a really important question. And

30:26

right now, if you

30:28

look at the top of

30:30

the educational hierarchy, Harvard,

30:33

what have we seen over the last few

30:35

years? They are at the absolute bottom

30:37

of the rankings with respect to free speech.

30:39

They have lost all of these cases

30:41

all the way up to the Supreme Court

30:43

about how they do admissions. Harvard

30:46

doesn't just have a front door. It's got

30:48

a bunch of side doors, got a bunch of

30:50

back doors, and they discriminate. And

30:52

what is the opposite of discrimination?

30:54

It's meritocracy. And I think

30:56

with 20 plus years of

30:58

discrimination, what Harvard did was made

31:00

it fashionable for other schools to

31:03

discriminate. And if you

31:05

compound that for 20 years, It

31:07

doesn't just touch the universities, it starts

31:09

to touch the high schools and the

31:11

middle schools. Where we live at the

31:13

beginning of COVID, we had

31:15

some morons at the board of education

31:17

decide to take away AP calculus and

31:19

AP math because it made people feel

31:21

bad. It's absolutely

31:23

ridiculous. And then we

31:26

pound these kids with ADHD pills.

31:29

And what happens is what you

31:31

described him. So. What

31:33

is the point of fixing Harvard? It's

31:35

really important because the opposite of

31:37

what they do, what they do is

31:39

discriminate, is a meritocracy.

31:41

And we need to make that

31:43

fashionable again. And the biggest reason

31:45

goes back to, again, I'll just

31:47

go back to the chip conversation. The

31:50

Chinese are so well organized. If

31:52

you look at the Chinese and the

31:54

Indians together, those are 2 .5 billion

31:56

people swimming in a meritocratic soup from

31:58

the day they're born. That's the only

32:00

way they climb out. and

32:03

it's eat or be eaten. And

32:05

then when they graduate from an education

32:07

system that is purely meritocratic, you know

32:09

what they do? They enter a workforce

32:11

that's also meritocratic. So it's compounded

32:14

into their psyche that you just have to

32:16

perform. Whereas what we do is

32:18

we do all of these fake things that make

32:20

people feel really bad about themselves. They look at

32:22

other people that think that shouldn't deserve to be

32:24

in places, get places. And

32:26

so we have to turn that tide.

32:28

And so whatever it takes, the most

32:30

severe and extreme measures must be undertaken

32:32

to fix this. That's my point

32:34

of view. Tim, your

32:37

thoughts on Trump wanting to

32:39

take away the nonprofit stance of

32:41

Harvey. I

32:43

went to one of these encampments during

32:45

the protests. I wanted to see it

32:47

for myself to see what was going

32:49

on. There

32:51

was a lot of, you'd see

32:54

a non -binary Asian dressed up like

32:56

a Hamas, and I think that's fun.

32:59

I think it's college. So I

33:01

think that people are going to

33:03

express views that are often, you

33:05

know, probably anti -American. I don't think

33:07

we can, you can't

33:09

shield yourself from that. I don't like

33:11

deporting people that are, you know,

33:13

critical of Israel, for example, unless they've

33:15

committed crimes and you can provide,

33:18

they're providing material support, you know, if

33:20

you can prove they're providing. Do

33:22

process. Do process. Well, you need to

33:24

provide, you know, if they're providing

33:26

material support, to Hamas or something like

33:28

that, that's a different story. But

33:30

if here on a legal resident visa,

33:32

they should be allowed the space

33:34

to express themselves as any other American

33:36

citizen would. Now, that being said, it

33:39

is impossible to look at higher education in

33:41

America right now and not be embarrassed. Truly,

33:44

truly, the word is embarrassment.

33:47

These should be the shining example

33:49

of, as Shamath was saying,

33:51

institutions that prepare people for

33:53

the real world. But what

33:55

they really are, they've all

33:57

been captured in this quasi

33:59

religious cult of insanity, where

34:01

people are elevating different types

34:03

of characteristics outside of intelligence

34:05

and merit as the most

34:07

important things to be considered

34:09

for admission, you know, to

34:12

be given academic achievements and things

34:14

like this. It's kind of embarrassing. And

34:16

I think if these institutions are going

34:18

to follow that path, they're going

34:20

to have to live and die on

34:22

their own. They're not going to be

34:24

able to be taxpayer subsidized and funded.

34:26

They have massive endowments from multi -billionaires

34:28

whose families all go, but like

34:30

Jamal said, they do engage in discrimination. And

34:33

frankly, you know, again, I'm not

34:35

for drawing ideological lines and I'm a

34:38

big free speech guy, but I

34:40

do think that you don't find much

34:42

ideological diversity on any of those

34:44

campuses, certainly not in the faculties at

34:46

all. And it doesn't prepare anybody

34:48

for a world and all the politics

34:51

are very aesthetic. I mean,

34:53

all these people are out there,

34:55

you know, showing off, exhibiting their

34:57

virtue. But at the end of

34:59

the day, they're still getting a very cushy

35:01

internship and a nice job. And,

35:03

you know, they're going to summer and Martha's Vineyard.

35:06

You know, for example, I

35:08

was lucky enough to go to the

35:10

Kennedy compound this summer. I went sailing with

35:12

their family and they're really great kids.

35:14

A lot of the kids there were... the

35:16

figure of the rock. Where are they?

35:18

No, they're on, you know, Hannes, whatever, the

35:20

famous thing. Yes. And I went there

35:22

and a lot of their young, their young

35:24

kids are of case kids are young.

35:26

They went to Harvard and a lot of

35:28

these Harvard kids are all good kids.

35:31

But you know, some of them are very

35:33

interesting, right? Cause they, they said to

35:35

me, they said, you own a house in

35:37

the Hamptons. I said, yeah, they go,

35:39

do you ever go out there in the

35:41

winter? I go, yeah, sometimes I do.

35:43

It's quiet and nice. You can write, you

35:45

can work on stuff. They go, yeah,

35:47

well, you know, they go, it's kind of

35:49

depressing to come to the Cape in

35:51

the winter. Cause all these people here are

35:53

on drugs. And it's like, yeah, cause

35:55

you shipped their jobs away. So it's just,

35:57

it's stunning. And these are Harvard kids.

35:59

They're very smart kids. But you have these

36:01

chasms where you would think it would

36:04

be completely obvious to people at this amazing

36:06

academic institution that, yeah, of course, the

36:08

people are on drugs. They're embracing pathological behavior.

36:10

They don't have a future. But these

36:12

schools have become these really insular bubbles where

36:14

these people have these really well -meaning aesthetic

36:16

politics, which says, we don't care about

36:18

your economic circumstances. Here's a trans Batman. And

36:20

I don't think that that that seems

36:22

to be the ethos of higher education in

36:24

America right now and it's it's it's

36:26

very hypocritical and I think it's why the

36:28

Democratic Party no longer connects because they're

36:30

too closely associated with like that type of

36:32

you know that type of a lead

36:34

I identity Politics yeah freeberg what sure that

36:36

should the IRS revoke or threaten to

36:39

revoke here? their nonprofit

36:41

status. Is that a

36:43

fair technique here because

36:45

they won't acquiesce and

36:47

do exactly as instructed? And

36:50

what do you think is going to happen here?

36:52

Will this possibly result in them losing their IRS status?

36:57

Harvard's endowment is

36:59

$53 .2 billion.

37:02

You may make

37:04

7 % return. They're

37:06

making $4 billion a year

37:08

in income generated. from those

37:11

investments in that endowment. I

37:13

think there's a couple of

37:15

two really important questions. One is,

37:17

should the role of the

37:19

federal government be to give out

37:21

money equally to institutions? Or

37:24

should the role be to give money to the

37:26

institutions that are going to provide the highest ROI for

37:28

America? Or is the goal

37:30

to redistribute wealth? And

37:32

is that the point of

37:34

federal spending and federal

37:36

expenditures? So, you know, you

37:38

could kind of think about Harvard,

37:40

MIT, and a few other institutions

37:43

that have truly great research institutions

37:45

embedded within them as being the

37:47

best ROI for America from a

37:49

grant perspective when you're giving out

37:51

research grants. That's the best

37:53

place because it just like any other

37:55

great technology company, it accumulates capital

37:57

because it accumulates talent. And that has

37:59

a network effect. And now you've

38:01

got a few institutions that have a

38:03

monopoly on high quality talent. And

38:05

as a result, it's the best ROI

38:07

for America. Is that what

38:09

the federal government is investing in? Or

38:12

should the federal government be trying

38:14

to support universities all over the place

38:16

that are more in need, particularly

38:18

a university that has 53 billion of

38:20

capital? Do they really need the

38:22

federal funds? So then the next question

38:24

I think is like, what is

38:26

the limit on the government's ability to

38:28

influence whether or not an institution

38:30

gets their capital? Is it statutory? Is

38:32

it mandated by law? Or

38:34

does it become politically motivated,

38:36

socially motivated, et cetera? Because

38:38

in other parts of how we're seeing

38:40

decisions being made, we're saying Chevron doctrine

38:42

was thrown out. And when Chevron doctrine

38:44

gets thrown out, we can't

38:47

rely on the regulatory scrutiny of the administrators

38:49

of the capital. We have to rely

38:51

on the law. And is there a law

38:53

that they're relying on? And I think

38:55

that's the key question is to have the

38:57

administration point to the laws that they

38:59

believe are being violated to kind of make,

39:01

I would say, a strongly defensible argument

39:03

about why they would withhold the capital to

39:05

make sure that they're compliant with the

39:08

law and whatnot and have it not be

39:10

kind of, you know, just we would

39:12

prefer to see you do things differently because

39:14

we think it's socially better. So I

39:16

think those are kind of the two key

39:18

points, whether or not these institutions deserve

39:20

nonprofit status. I don't know why an

39:22

institution that has 53 billion a capital and

39:24

is making probably four or five billion a year.

39:27

shouldn't pay taxes on that income. That

39:30

income is being used in a variety

39:32

of ways to build nice buildings. And

39:34

there's IP that's held by these institutions

39:37

that IP is used to start startups.

39:39

They get equity in the startups. They

39:41

have income streams on their IP. I

39:43

mean, they really do operate like technology

39:45

development centers. So, you

39:47

know, what is the original kind of reason for

39:49

saying that they should be tax exempt? The

39:51

majority of the capital is not being used to

39:53

educate students. The majority of the capital is

39:55

being used to reinvest to make new capital. So

39:58

your position on

40:01

Harvard losing its tax

40:03

exempt status potentially because they will

40:05

not stop their DEI programs or they want

40:07

to, I guess, better stated would be that

40:09

they want to make their own decisions about

40:11

this and not have the federal government make

40:13

this decision. Let's get to the

40:15

nitty gritty of the legal issue here.

40:17

In 1983, there was a case called

40:19

Bob Jones University versus the IRS in

40:21

which the IRS challenged the tax exempt

40:23

status of Bob Jones University because Bob

40:26

Jones had this bizarre

40:28

and reprehensible policy banning interracial

40:31

dating on campus and interracial

40:34

marriage based on a strange

40:36

interpretation of scripture. At least that's what they

40:38

said it was. In any event, Bob

40:41

Jones lost that case and they lost their tax

40:43

exempt status. As far as I know, they

40:45

kept the policy and they continue to operate as

40:47

a private university. But the

40:49

Supreme Court found that

40:51

if you enshrine a racially

40:53

discriminatory policy, in

40:56

violation of the civil rights laws and you

40:58

cannot get tax against status. So that

41:00

was the precedent. Fast forward

41:02

to 2023, we have the

41:04

case students for fair admissions versus Harvard. This

41:06

is the Supreme Court case a few years

41:08

ago that said that affirmative

41:11

action policies that

41:13

use race as a

41:15

factor in admissions are a

41:17

violation of the 14th Amendment's

41:19

protection against racial discrimination. So

41:22

Harvard lost that case. They were

41:24

found to be racially discriminating in

41:26

admissions. Now, what Harvard did

41:28

in the wake of that is

41:30

that they claimed that they

41:32

removed access to information about

41:34

an applicant's race from the

41:36

admissions process so that the

41:39

admissions readers don't know what race of

41:41

student is. This is their claim. But

41:43

at the same time that they did

41:45

that, they updated their application, replacing

41:48

the long form essay that all of

41:50

us filled out decades ago we went

41:52

to school with five shorter questions asking

41:55

how applicants will contribute to a diverse

41:57

student body. It's suspiciously similar

41:59

to these DEI statements where prospective

42:01

professors who are applying for jobs

42:03

at these universities get asked, you

42:06

know, how will you contribute to diversity on

42:08

campus, things like this? And it's

42:10

used as a way to discriminate

42:12

against conservatives or people who just think

42:14

that race or diversity should not

42:16

be a factor in teaching on campus.

42:18

Anyone who answers that question, I

42:20

believe in judging people based on the

42:23

content of their character, not the

42:25

color of their skin, they're going to

42:27

get weeded out, right? I mean,

42:29

or someone who says, well, I'm going

42:31

to contribute to diversity on campus

42:33

by contributing intellectual diversity. Those are the

42:35

types of applicants who get weeded

42:37

out by these DEI statements. And we

42:39

see that in another part of

42:41

what the government is claiming is that

42:44

Harvard is engaged in viewpoint discrimination

42:46

against conservatives. And you can see this

42:48

in polling of the Harvard faculty.

42:50

More than 80 % of surveyed Harvard

42:52

faculty identify as liberal. So my point

42:54

is this, these

42:56

DEI statements have been used in

42:58

faculty hiring to discriminate on the

43:01

base of viewpoint and to use

43:03

race as a factor in hiring. I

43:05

think in a similar way, they've

43:07

now updated their admission application to

43:09

make all the essays about race.

43:12

So I think this idea that

43:14

they're not playing a game here

43:16

and they're not trying to engineer

43:18

the student class around race, it's

43:20

hard to believe, right? I mean,

43:22

these are people who have not

43:24

changed their ideology. They believe what

43:26

they were doing before that 2023

43:28

case was trying to engineer the

43:30

percentages of each student class to

43:32

match the percentages of each race

43:34

in the American population, right? And

43:36

these are people who are doctrinaire

43:38

about that ideology. So the

43:40

idea that they're not still doing it, I

43:42

think, is hard to believe. Now,

43:45

course, of course. So we all know

43:47

what they're doing. And The alternative

43:49

to the administration saying just get rid

43:51

of the is that every year

43:53

to have new litigation. Where will

43:55

be some whistleblower and it'll come out

43:57

that harvard still engaging a racial discrimination.

44:00

And then you know harvard will be found

44:02

guilty like they were in that twenty twenty

44:04

three case and they'll change their policy. And

44:06

the manipulated and play some new game will

44:08

be a new court case will keep going

44:10

back and forth with them or. We

44:12

can just say stop it right

44:15

now stop the non sense actually. abide

44:17

by both the letter and spirit of

44:19

the Supreme Court decision students for fair

44:21

admissions versus Harvard and stop engaging in

44:24

racial discrimination. And this is why I

44:26

think the administration is correct here in

44:28

pressing Harvard on this. Now look, if

44:30

Harvard wants to keep playing these games,

44:32

they can. No one is saying that

44:34

they have to get rid of DEI.

44:36

They just have to give up their

44:39

federal funding the way that Bob Jones

44:41

University did. But the problem is that

44:43

Harvard wants to have his cake and

44:45

eat it too. Right? They want to

44:47

basically keep engaging in racial discrimination through

44:49

these DEI policies, but they want federal

44:51

funding and you can't have both. Do

44:54

you think that these

44:56

universities or universities in

44:58

general that receive federal

45:00

funding have become more

45:02

ideologically, call it liberal,

45:05

I would call it a

45:07

little bit more kind of socialist

45:09

oriented because they're dependent on

45:11

federal funding? Do you see what

45:13

I'm saying? Like, is it the case that

45:15

this Ideology accrues over

45:17

time when you are much more

45:19

dependent on the government. You

45:21

mean there's no market feedback that keeps

45:23

you in check? There's no

45:25

private market. There's nothing that

45:27

ultimately translates into a system

45:30

where you're necessarily needing to

45:32

be competitive for capital, competitive

45:34

for talent, like the accumulation of federal

45:36

dollars over time. makes you say I deserve

45:39

federal dollars and the people that think

45:41

that you deserve federal dollars. You're making a

45:43

really good point and I think you

45:45

could be right. Nick, can you please throw

45:47

up the chart that I sent you,

45:49

which is the amount of research between China

45:51

and America? Okay, first look at this.

45:54

So again, you make these plans

45:56

and you're like, where are we

45:58

going to put the money? Okay,

46:00

China says, guys, we are going

46:02

to learn how to catch up

46:04

to America in terms of spending

46:06

on science. This is gross domestic

46:08

expenditures on science. And what you

46:10

see is China from basically nothing

46:12

in 2001 is now neck and

46:14

neck with the United States spending

46:16

half a trillion dollars a year

46:18

on core fundamental science research. So

46:20

what happens as a byproduct of

46:23

that? Okay, so you spend more

46:25

on the way in. So

46:27

China is listening to the market

46:29

feedback. Freeberg, let's go and explore

46:31

this idea that there is no

46:33

market feedback in America. What are

46:35

the long run implications and you

46:38

see it on this chart, which

46:40

is this is a simple chart

46:42

that says what percentage of all

46:44

of the foundational research Comes from

46:46

the United States versus comes from

46:48

China and what's crazy about this

46:51

chart is right around 2019 China

46:53

past the United States This chart

46:55

by the way only measures research

46:57

that is published in English Okay,

47:00

so if you added in

47:02

the research that China actually publishes

47:04

in Chinese, they would have

47:06

run away with this a decade

47:08

earlier. So then you

47:10

think about, okay, well, what is

47:12

the implication of this? Well, the implication

47:14

is obvious. These guys are

47:16

inventing things. We're playing catch -up. Meanwhile, we're

47:18

bumbling around talking about pronouns. We can't get

47:20

our act together. This is why we

47:22

need to be decisive. What is important here?

47:24

So for NIH grants, This was published

47:26

by the NIH, by the way, a few

47:29

weeks ago on their Twitter account. So

47:31

this is an image they put out. And

47:34

on Feb 15, they're about the

47:36

NIH said, any grants we give to

47:38

universities now. So today, if you're a

47:40

researcher, you're a scientist at a university

47:42

like Harvard, I don't know if

47:44

people realize this. The way you get funding

47:46

for your lab is you will apply for a

47:48

grant. Someone has to give you that capital

47:51

to run your lab. And many

47:53

grants come from the NIH. So

47:55

they go to the NIH, they file

47:57

for a grant. If the grant gets

47:59

approved, they get $3 million, let's say.

48:02

But what happens is that at

48:04

the institution that they run

48:06

that lab at, that institution can

48:08

now bill the government for

48:10

some negotiated percentage of the grant

48:12

amount to cover administrative overhead. So

48:14

at Harvard, you know what the administrative

48:17

overhead was up until Fed 15th? 69%.

48:21

You're saying $69 of every

48:23

hundred go to administration. It's

48:26

an incremental $31. Yeah.

48:28

Well, it's actually an incremental $69.

48:30

So the way it works is on

48:32

top. The lab gets a hundred

48:34

and then Harvard bills the government $69.

48:37

That's insane. That's insane. And

48:39

this is true. And the average is

48:41

around 30 % today across universities and

48:43

other institutions. So there's also this very

48:45

fundamental question that's being asked in science

48:47

right now. which is our university is

48:49

even the right place to be doing

48:51

fundamental scientific research. In the United States,

48:53

there are different models. Most of our

48:55

research is done either at a private

48:57

company, which is a small amount of

48:59

research. And remember, I've

49:01

talked about this a lot. The

49:03

big companies that have a market that's

49:05

telling them you have to have

49:08

a positive return on invested capital, that

49:10

have the scale to invest, have

49:12

the most incredible returns for America, like

49:14

Google. that put out the transformer

49:16

model that launched everything that we see today and

49:18

invested in Waymo for many years and drove

49:20

the self -driving car revolution and all the work

49:23

that was going on at Bell Labs up until

49:25

we said Bell Labs and Monopoly, we broke

49:27

them apart and they got destroyed. And

49:29

so we largely aim to destroy large

49:31

private research institutions in this country because

49:33

we claim that they're monopolistic because of

49:35

the way they source capital, which is

49:37

through activities in the marketplace. So

49:39

the question today that's being asked,

49:41

is should we be doing fundamental

49:43

scientific research at universities given that

49:45

over time, the administrative overhead has

49:47

grown. And they're basically creating administrative

49:49

workloads and employing people without necessarily

49:51

having a market incentive. Can I

49:54

tell you a crazy story? This

49:56

is a story I've never told,

49:58

but a friend of mine is

50:00

an incredibly well -respected banker on

50:02

Wall Street, very senior guy, works

50:04

at one of the big mainline

50:06

banks. And a few

50:08

years ago, this is about 18 months ago, two years

50:10

ago, he had always wanted

50:12

to work in government and they

50:14

tried to get him to join the

50:16

Federal Reserve and it was for

50:18

a role that was very specific and

50:21

narrow. It was to manage a

50:23

very specific part of the interest rate

50:25

mortgage market. It's a really important

50:27

role. It's a little bit in the

50:29

weeds, but it was like his

50:31

dream job. He did his PhD thesis

50:34

on it the whole nine yards,

50:36

whatever kind of thing. So

50:38

he goes through these interviews

50:40

and He sits with Jerome Powell, goes

50:43

through that interview, sits with, I

50:45

think, Leo Brainard, you know, everybody. And

50:48

it was time for the final interview.

50:51

And right before, the person that was

50:53

his kind of like shepherd says

50:55

to him, you really need to play

50:57

up your Indianness, because what we

51:00

really want is somebody who can help

51:02

us tell a diverse story. He

51:04

goes, well, My diversity is that I

51:06

know this market better than literally

51:08

anyone else in the world. Like nobody

51:10

knows this. I know it. I've

51:12

studied it since my PhD. And

51:15

he was so offended. He was like,

51:17

you know what? I'm not going to

51:19

go through with this. And we lost

51:21

them. We meaning the American taxpayer who

51:23

supports all this. If you think of

51:25

that example in all of the different

51:27

places where we have not been hiring

51:29

the right people, you

51:31

get this slowdown in innovation,

51:33

you get a slowdown in research,

51:35

you get a slowdown in

51:37

wealth functioning organizations and institutions, and

51:40

it's like a slow malaise. So

51:42

how do you stop the rot? You

51:44

have to stop it at the top, and

51:47

you have to do something that is

51:49

meaningful. And if

51:51

it requires us

51:53

to at least

51:55

threaten Harvard, and by

51:57

the way, look, let's be honest, it's

51:59

called Harvard Corporation for a reason. Right,

52:01

it's run like a corporation. It is

52:03

an asset manager that may happen to

52:05

have some educational things that they do

52:07

on the side which Increasingly are not

52:09

what we need it to do and

52:11

more importantly It doesn't set the vanguard

52:13

for how everybody wants to copy and

52:15

everybody used to want to copy Harvard

52:17

and now what they're copying are not

52:19

the things that help us so we

52:21

have to find a way of Waking

52:23

them up and saying guys you have

52:26

a responsibility for America And

52:28

maybe this is what it takes. And I hope

52:30

they take the medicine and listen. Well, the Coulson

52:33

brothers told us on a previous episode, they were

52:35

just funding researchers and letting them pick their own

52:37

research to a certain extent. Tim. How

52:39

would you play up your Indianness

52:41

with Jerome Powell? The idea

52:43

of that is the best thing I've

52:45

heard all week. I've asked him. He

52:48

was told to play up his Indianness.

52:50

And he was like, well, what does

52:52

that mean, my Indianness? And they were

52:54

like, well, you know. Talk about your

52:56

love of Indian dance and Indian food.

52:58

And he was like, are you, are

53:00

you, are you kidding me? Like is,

53:02

is this a serious conversation? Jerome Powell

53:04

sitting there and go, we were on

53:07

defense about you. But you showed up

53:09

with this butter chicken. The chicken makni,

53:11

I was gonna bring it up. You

53:13

came in here with Saag Paneer, and

53:15

now we're a sitar. He starts playing

53:17

the sitar in the... And it's like,

53:19

what are you doing? You char masala?

53:21

Who's that guy showing up at a

53:24

rickshaw? It's the chairman of the mortgage

53:26

market. It's absolutely worked out. Hey,

53:28

Tim, if you were in charge of

53:30

this, because we do have some ends with

53:32

the administration, maybe you should be directing

53:34

some of this research. What would me? If

53:36

I wanted to study anything at Harvard,

53:38

it would be Brigitte Macron's gender. But I

53:40

think we do have to focus on

53:42

disease to an extent. But here's

53:44

what I would say to add to

53:46

that conversation. I would say that these

53:48

schools exist for a multitude of reasons.

53:51

But one of them is to create

53:53

a consensus among the wealthiest and obviously

53:55

people that are expected to be the

53:57

most powerful in society and to

53:59

create a consensus about the values that

54:01

are important to America at any

54:03

given time. And I think the

54:05

question should be, why are

54:07

these values so important

54:10

and to whom? I

54:12

don't think this is altruism

54:14

and it's about helping the

54:16

working class or helping minorities

54:18

or helping people get more

54:20

economic justice. It actually

54:23

seems to me quite

54:25

a transparent attempt for certain

54:27

people to keep positions

54:29

of power and certain structures

54:31

to stay in place

54:33

while offering people this idea

54:35

that there's a lot

54:37

of change because there's a

54:39

few ceremonial optical choices

54:41

made where we're putting in

54:43

a female CEO of

54:45

color or someone who's Indian

54:48

but the internal structure

54:50

stays the same. And

54:52

if you just look at a school

54:54

like Harvard and you go, oh, yeah,

54:56

socialist in some respects, but in some

54:58

respects, actually, you know,

55:00

if you challenge the Ukraine war,

55:02

if you challenge aspects of the

55:04

American empire, if you challenge certain,

55:07

look at all the wars, all

55:09

of our wars are being sold

55:11

with social justice. A lot of

55:13

our wars are being sold because, you

55:15

know, if we don't see a national

55:17

security interest in it, we're told that

55:19

Well, people in that country are not

55:21

being treated well. That country has values

55:23

that we don't have in the West.

55:25

And that may be true. But in

55:27

many cases, it's not worth going to

55:29

war over. And most Americans would say

55:31

that. So who exactly

55:33

is benefiting from these

55:36

programs and these values

55:38

being instituted? It isn't

55:40

low income people in

55:42

the inner city. It

55:44

seems to be kind of

55:47

A lot of it's the

55:49

opposite of inclusion. It's the

55:51

opposite of inclusion. the opposite

55:53

of inclusion. What has happened?

55:56

It's the establishment trying to

55:58

preserve itself by shutting out

56:00

certain ideas and certain people

56:02

and, you know, giving very

56:04

ceremonial nods to, you know,

56:07

play up your Indianness, play

56:09

up this, play up that.

56:12

But, you know, it's like when the

56:14

CIA goes and she goes, I'm

56:16

the first female drone pilot. And

56:18

a lot of Americans are

56:20

going, what exactly is our national

56:22

security interest in a drone

56:24

strike in whatever country and do

56:26

we need to be doing

56:28

this? And should the money be

56:30

better spent somewhere else? But

56:32

instead of having that conversation, it's

56:34

always ends up being hijacked.

56:36

So this DEI to me just

56:38

seems like a way for

56:40

a lot of the same establishment

56:42

people to keep their power

56:44

and influence by offering these very

56:46

optical advancements to people that

56:48

May you know pay lip service

56:50

to certain ideas, but when

56:52

it comes down to it, they're

56:54

very loyal to the same

56:56

Power factions that you know have

56:58

always kind of driven the

57:00

narratives in our country completely agreeing

57:02

what happened during comedy to

57:04

you Tim and and your cohort

57:06

during that like peak DEI

57:09

peak cancellation It felt like the

57:11

Overture window was closing pretty

57:13

harshly on you guys. There's a lot

57:15

of attempted cancellations of comedians, people trying

57:17

to secretly record you. You got those

57:19

yonder, I don't know what those are

57:21

called, those bags that you put the

57:23

phones in. What was that moment

57:25

in time like? told by countless executives

57:27

to play up my Indianness, and I tried.

57:30

You tried. But it was just in bad

57:32

taste. Yes. It was in terrible

57:34

taste when I came in and I tried to

57:36

be Indian, and it just wasn't

57:38

good. No, I think here's what it was.

57:40

I started, you know, having more of a career

57:43

in let's say 2016, 2017, 2018, and then

57:45

we were kind of on this path where you'd

57:47

go have a meeting in Los Angeles with

57:49

people about doing a show or whatever, and they

57:51

would start, all of these words and verbiage

57:53

would creep in. They go, we're really interested in

57:55

marginalized voices, elevating voices that

57:57

haven't been heard. We're interested in

58:00

empowering, and these are LA executives, they're

58:02

monsters, they care nothing. about anything

58:04

and that's where they're good at their

58:06

job, right? The only reason you

58:08

can be good at your job as

58:10

an executive in the entertainment business

58:12

is to really not look at human

58:15

beings as humans. You have to

58:17

look at them as objects. That's

58:19

what you do. Manipulate pawns on the chessboard.

58:21

It's what it is. You know what I

58:23

mean? If I called my agent today and

58:25

said I'm really tired, doing everything I'm doing,

58:27

he'd say, have you tried drugs? Like, they...

58:29

Right, this would be a... I was wondering

58:31

about that because you have such high energy.

58:33

I don't know why you're not embracing the

58:35

cocaine speed. I don't mean it. I don't

58:37

mean it. Yeah, but if I do, and

58:39

the way, if I do, they'll provide it

58:41

to me. Here's the deal. The way that

58:43

town works is you have a bunch of

58:45

people that believe in nothing and they can't.

58:48

They can't and be effective. They have to

58:50

go whichever way the wind is blowing. So

58:52

when you have these people pulling up in

58:54

portions, with their houses

58:56

in Malibu and they then

58:58

have a sudden interest

59:00

in empowering people. These people

59:02

were throwing women off

59:05

into the Santa Monica Canyon

59:07

for years. So it

59:09

was this weird time where

59:11

you had the worst people in

59:13

the world trying to convince

59:15

you that they had an interest

59:17

in marginalized voices because they

59:19

thought there was money there. Well,

59:21

guess what? It turns out

59:23

Americans don't really like to be

59:25

patronized and they were never

59:27

making TV that minorities wanted to

59:29

watch or making TV that

59:31

guilty white liberals wanted to watch

59:33

and it didn't make any

59:35

money. Nobody really liked it. A

59:37

lot of it kind of

59:39

faded away. And as soon as

59:41

it stopped being profitable, all

59:43

the executives in Hollywood that supposedly

59:45

cared so much about the

59:47

marginalized voices rediscovered the profit motive.

59:49

They rediscovered the idea that

59:51

they had to make entertaining stuff.

59:53

They rediscovered viewership. They rediscovered

59:55

numbers. They rediscovered all these business

59:57

fundamentals that they had ignored

59:59

because they thought there was going

1:00:01

to be a pot of

1:00:03

gold at the end of all

1:00:05

this elevating and empowering. But

1:00:07

there wasn't because it was rejected

1:00:09

largely by people. They didn't

1:00:11

want to watch it. They were

1:00:13

canceling all of you guys.

1:00:15

They were canceling. Well,

1:00:18

they were trying. They were

1:00:20

trying to. to. They were trying, didn't

1:00:22

work because people at the end of

1:00:24

the day realized that people are flawed,

1:00:26

fallible, and human. And that's what makes

1:00:28

them entertaining. You don't want a perfect

1:00:30

person doing anything because that person is

1:00:33

not going to be terribly interesting. You

1:00:35

want someone who has flaws and has

1:00:37

problems, obviously, within reason. You

1:00:39

know, so I think that. Tim,

1:00:41

can I ask you a

1:00:43

question? Let's say let's say that

1:00:45

you are I support Harvey

1:00:47

Weinstein. Go on. I'm sorry. I

1:00:49

didn't know if that was

1:00:51

No, let's say that you are

1:00:53

in charge of education in

1:00:55

America. Yes What would you do?

1:00:57

Where would you start? What

1:00:59

would you if I was in

1:01:01

charge of education America number

1:01:03

one? I would I would try

1:01:05

to Assert the idea that

1:01:07

Higher education itself needs to be

1:01:09

for a purpose and

1:01:11

that there needs to be more

1:01:13

of a purpose driven from

1:01:15

middle school through high school, we

1:01:17

need to start getting kids

1:01:19

to think rationally about their skill

1:01:21

set and their ability. And

1:01:24

I don't think it's a

1:01:26

good idea for these kids to

1:01:28

take out hundreds of thousands

1:01:30

of dollars worth of loans to

1:01:32

go away for four years,

1:01:35

not have a solid plan and

1:01:37

not execute and then graduate

1:01:39

mired in debt without

1:01:41

really a pathway to paying any of

1:01:43

it back and spending their 20s and

1:01:45

maybe a good part of their 30s

1:01:47

incapable of owning a home, incapable of

1:01:49

owning anything with no real investments. So

1:01:51

I think this idea that like you

1:01:53

should follow your dream, which is this

1:01:55

toxic American idea that I don't subscribe

1:01:57

to. I think people have nature as

1:01:59

they have skillsets and they actually have

1:02:01

to do something within the realm of

1:02:03

that and it requires being honest with children,

1:02:06

which no one wants to do. And

1:02:09

I would try to re -engineer education

1:02:11

to be a more practical place

1:02:13

where you would apply some of the

1:02:15

skills that you actually had. I'm

1:02:18

not saying people shouldn't be able to

1:02:20

experiment or have freedom, but I

1:02:22

do think that we've told a lie

1:02:24

to people, which is that they

1:02:26

can be anything they want to be

1:02:28

and do anything they want to

1:02:30

do. And by the way, and here's

1:02:32

a bunch of loans to do

1:02:35

it. Here's hundreds of thousands of dollars

1:02:37

worth of debt. So now you

1:02:39

can go into debt. without any plan

1:02:41

or any logical sense of what

1:02:43

you want to do. I think we

1:02:45

should start putting people into a

1:02:47

more realistic mindset in high school about

1:02:49

what needs to happen. Otherwise, they're

1:02:52

taken advantage of and abused by these

1:02:54

systems of higher education where they

1:02:56

graduate mired in debt and without any

1:02:58

type of standing in society. Oh,

1:03:01

my God. I want to add

1:03:03

Jamal. Go ahead, Freya Bergen. Then

1:03:05

I got a breaking news story.

1:03:07

I want to just address this

1:03:09

because I think it's, there's a

1:03:12

moment here that I think will

1:03:14

define a very different future for

1:03:16

education, which is kind of a

1:03:18

movement away from the current model

1:03:20

of a school. AI is

1:03:23

such a profound tool. The

1:03:25

ability for AI to get to

1:03:27

know your personality and just like teach

1:03:29

my kids the way they want

1:03:31

to be taught through conversation, through engagement,

1:03:33

through dialogue. knowing that some

1:03:35

kids want to ask questions and some kids

1:03:37

want to just be told stuff. Some kids

1:03:39

work at one pace, other kids work at

1:03:41

another pace. And I know this idea of

1:03:43

personalized education using computing has been around now

1:03:45

for decades. But we really are

1:03:47

in this moment where the idea of

1:03:50

spending, you know, your first 18 years

1:03:52

of life in a classroom where you're

1:03:54

being told stuff that is quote the

1:03:56

truth versus learning how to engage with

1:03:58

the world, ask questions, your

1:04:00

world. I find and identify things that are

1:04:02

interesting to you. have it delivered to you

1:04:04

in a very personalized, meaningful, rich way that

1:04:06

also makes you excited about certain things and

1:04:08

helps usher you on to the next phase

1:04:11

of your life of what do you want

1:04:13

to do with this and get kids out

1:04:15

of this idea that you've got to go

1:04:17

get the degree in order to get the

1:04:19

job. And then I think that the workplace

1:04:21

will adjust to that. I forgot who it

1:04:23

is, whether it was Palantir or someone just

1:04:25

started doing a program where they're like skip

1:04:27

college, come and do your basically your apprenticeship

1:04:29

here. So instead of going to college, you'll,

1:04:32

you'll, it's paid, you'll continue your education

1:04:34

here. You'll work on projects,

1:04:36

you'll make money and you'll continue to

1:04:38

have your development be done while you're

1:04:40

learning a valuable skill. So I do

1:04:42

think like as AI kind of takes

1:04:44

over education, I do expect that the

1:04:46

workplace will change Tim and we will

1:04:48

start to see more of this integration

1:04:51

between education and workplace enabled by this

1:04:53

AI driven kind of, you know, development

1:04:55

system. Which is which is going to

1:04:57

be radically different than what we have

1:04:59

today you with this a item you

1:05:01

like a comedians to the game I

1:05:03

don't I don't with it. No, I'm

1:05:05

a little skeptical of the tech people

1:05:07

I talk about on my show of

1:05:09

course not you guys but the other

1:05:11

ones I Think it's great Palantir goes

1:05:13

skip college come get involved in advanced

1:05:15

weapons technology But

1:05:26

I like using my brain at the moment,

1:05:28

but if it starts to fail, I imagine it

1:05:30

will. I will use A. I know people

1:05:32

that do use A. I might produce or might

1:05:34

use A. I don't know. You probably won't

1:05:36

tell me. But I do think that...

1:05:38

But have you used it to learn Tim? Have you

1:05:40

used it? Have you ever done any of the chat apps

1:05:42

where you can talk to it and like, hey, you

1:05:44

want to learn it or get smart on something or get

1:05:46

caught up on something? You can literally just ask questions

1:05:48

and have a conversation with it. We did

1:05:50

it on the show. We had

1:05:52

an AI bot do a deliver

1:05:54

rant in the style of me.

1:05:56

It got pretty close, not good

1:05:58

enough yet, but it was pretty

1:06:00

close and pretty interesting to see

1:06:02

how advanced it is right now

1:06:05

and then how advanced it's going

1:06:07

to be. You know,

1:06:09

I worry a little bit about what

1:06:11

you're going to do with all of

1:06:13

these people. once AI starts

1:06:15

taking a lot of these

1:06:17

jobs. The

1:06:19

cashiers, the Uber drivers,

1:06:22

door dashers, all these jobs could go like

1:06:24

you said. Five years ago, I was

1:06:26

a tour guide on a double, not five

1:06:28

years ago, but seven or eight years

1:06:30

ago, I was a tour guide on a

1:06:32

double -decker bus in New York City while

1:06:34

I was learning how to be a

1:06:36

comedian and I was showing people the Empire

1:06:38

State Building and like all the 9 -11

1:06:40

Memorial, whatever, and these are the

1:06:42

types of jobs I was making $13

1:06:44

an hour and I was obviously, you

1:06:47

know, it wasn't well paid, it wasn't an

1:06:49

amazing job and it offered me the freedom to

1:06:51

get good at something else. But I was

1:06:53

taking a lot of risk to do it and

1:06:55

I tolerated that level of risk because I

1:06:57

believed what I was doing was the right thing,

1:06:59

the right course of action. But it's jobs

1:07:01

like that that allow some of the most interesting,

1:07:04

you know, like weird

1:07:06

lives that people should

1:07:08

be able to live If

1:07:10

they want to, I

1:07:13

don't think everybody may want

1:07:15

or need to have a full

1:07:17

-time job. There are people that

1:07:19

have retired and go, I'd

1:07:21

like to be a tour guide, or

1:07:23

I'd like to work at a museum a

1:07:25

few days a week. being

1:07:28

on the double -decker bus, you know, were you

1:07:30

able to put one -liners in there? I was

1:07:33

able to do all kinds of stuff like

1:07:35

that. To me, it's like those jobs, right? Yes.

1:07:37

Some of those, I don't think the entire

1:07:39

economy should be the gig economy, but I do

1:07:41

think some of those jobs are going to

1:07:43

be eliminated by AI or the jobs that allow

1:07:45

people to get good at other things while

1:07:47

they're doing them. So people that

1:07:49

are in entertainment and music and stuff like

1:07:51

that, we want them to be able

1:07:53

to support themselves while they enrich us culturally

1:07:56

in other ways. Crazy breaking

1:07:58

news story right now. Um, sorry, sacks. I

1:08:00

didn't mean to have this, uh, blindside you

1:08:02

here, but, uh, and I know, you know,

1:08:04

you were at the administration, you don't speak

1:08:06

for the administration necessarily on this issue, but,

1:08:08

uh, looks like the federal reserve has a

1:08:10

new chairman. It's just breaking news here. So

1:08:12

racist. Um, it says hot off

1:08:14

the mark. Trump is named Shamath as the federal

1:08:16

reserve. I think all of these fundraisers worked out

1:08:18

for you, but, uh, there is a note. They

1:08:20

asked Shamath to be more Sri Lankan. So if

1:08:22

you could, to the extent you could be more

1:08:25

Sri Lankan. Chumas, is he

1:08:27

really Sri Lankan? I read

1:08:29

a great book about the

1:08:31

Tamil Tigers many years ago.

1:08:33

Do you remember them? Yes,

1:08:35

they invented suicide bombing. They

1:08:37

did. Listen be proud be

1:08:39

proud of stuff That was

1:08:41

the ethnic minority that was

1:08:44

fighting for a homeland I

1:08:46

was part of the ethnic

1:08:48

majority You were you were

1:08:50

the one trying to avoid

1:08:52

the suicide mess. No, my

1:08:54

dad was the one that

1:08:56

spoke out against the war

1:08:58

That's why we we had

1:09:01

to skedaddle and claim refugee

1:09:03

potato potato. I support both

1:09:05

I'm the only person with

1:09:07

the moral courage to say

1:09:09

I support Israel and Hamas

1:09:11

and Russia and Ukraine. You

1:09:13

can just want to see a good game.

1:09:16

You can want to see a good game. You

1:09:18

don't have to take a side. overtime if

1:09:20

there's a lead change. You like a

1:09:22

lead change. It really depends in Beverly

1:09:24

Hills who I'm having lunch with and what

1:09:26

type of Middle Eastern they are because

1:09:28

I can go either way on that. And

1:09:30

I think it's important. You don't

1:09:32

want be too rigid in this economy.

1:09:34

You need to be able to move

1:09:36

into things And I will read the

1:09:39

audience. I see both sides. I've read

1:09:41

the Israel stuff and the Palestine stuff.

1:09:43

They're both right. So guess

1:09:45

what? That's right. So at the

1:09:47

end of the day, what want me to do?

1:09:49

for Timmy's career? Is that an approach you could

1:09:51

take? What's right for me? What's the easiest lunch?

1:09:53

What's the easiest afternoon for me? What,

1:09:55

you know, that path of resistance. That's

1:09:59

the move for me, always, all

1:10:01

the time, you know? Right. So, you

1:10:03

know? Absolutely. Absolutely. What

1:10:06

Putin did, was it right? No, but

1:10:08

do I like the idea of the

1:10:10

oligarch, the furs, the boats, the kind

1:10:12

of lifestyle? Yes, the kind

1:10:14

of tracks. Yacht. Yes, that to me

1:10:16

is always spoken to me. Somebody said

1:10:18

to me once, you're spiritually Russian. So

1:10:20

I think I have that in me,

1:10:22

so I just can't ignore it. So

1:10:25

how would you rank your dictators? Sounds

1:10:28

like you're a Putin guy or you? Putin

1:10:30

has a lot of class. Whether you like

1:10:32

him or not, he has a lot of class.

1:10:34

And number one, people do fall out of

1:10:36

windows in London. It does happen, actually. It's

1:10:39

not always, you know what I mean? It's

1:10:41

like sometimes somebody does take his spell. It's

1:10:44

not always him. Um, I like

1:10:46

him. I, I like, uh, Kim,

1:10:48

I think it's Jongoon in North

1:10:50

Korea. Yes. I like him. He

1:10:52

has style as well. Don't forget

1:10:55

Zelensky. He

1:11:00

just extended military

1:11:02

rule. He

1:11:05

just extended martial law. There's no

1:11:07

election. By the way, I like

1:11:10

sacks on this. And I think

1:11:12

when they told Putin that a

1:11:14

comedian was now the president of

1:11:16

the Ukraine, Putin probably said,

1:11:18

listen, are they serious? Are

1:11:20

they even trying anymore? Because

1:11:22

is the CIA even trying

1:11:24

anymore? Are you serious? Wait,

1:11:27

the guy who played the

1:11:29

president in a TV show is

1:11:31

now the actual president? Yes.

1:11:34

And Putin's getting this information sitting there

1:11:36

in his palace. Like, I Yes.

1:11:39

So, I mean, listen, all war is tragedy.

1:11:41

It's all terrible and bad. But,

1:11:43

you know, we also... I think David's done

1:11:45

a phenomenal job, by the way, of looking

1:11:47

at how you get to certain places. Hmm.

1:11:50

Absolutely. Yeah. Yeah. And then I

1:11:52

think the, you a lot of private

1:11:54

shows. Yeah. You do a lot of

1:11:56

private shows, Tim. The private shows with

1:11:58

the dictators, the despots, the

1:12:00

monarchies, they pay what? Three to

1:12:02

one, four to one? They want to

1:12:04

laugh these people. They want to

1:12:06

laugh. Uh, you know, I mean, it's,

1:12:08

Duterte likes to laugh. So, you

1:12:11

know, these people want to laugh

1:12:13

and I'm not here. MBS wants

1:12:15

to laugh. I'm not here to

1:12:17

pass judgment on the audience. I'm

1:12:19

here to bring, well,

1:12:21

it's actually funny. I did like one private gig.

1:12:23

I don't get booked on a lot of private

1:12:25

gigs, but I got one big Bitcoin guy in

1:12:27

Romania had me go to his birthday party. And

1:12:29

it was just this older oligarch type guy. And

1:12:31

they all spoke Romanian. It was very hard. And

1:12:33

they paid me $100 ,000 to do 20 minutes

1:12:35

and they didn't really understand anything. And

1:12:37

then one guy just stood up and I

1:12:39

guess he recognized me. He started yelling, Joe

1:12:41

Rogan, Joe Rogan. And then sat down. So

1:12:44

I am open to, I'm open to

1:12:46

performing for anyone, really true. Anyone.

1:12:48

Idi, I mean, Iran, you could just

1:12:50

Kim Jong -un, just send a ticket. Hey,

1:12:53

hey, is the money green? Is the

1:12:55

money green over there? The money's not clean, but.

1:12:57

Is Iran that danger? I mean, all I

1:12:59

hear now every day is Iran's coming to kill

1:13:01

everyone. Is that true? I don't know. I'm

1:13:03

okay. Are they invading? Is Iran

1:13:05

landing an aspen? Building nukes, maybe want to

1:13:07

wipe out one or two countries. A little

1:13:09

genocide. Wish fulfillment.

1:13:12

How far are they along on those

1:13:14

nerds? We don't know that. 80 % them.

1:13:16

You think 80 %? They're perpetually

1:13:18

at 80%. We just keep knocking out the

1:13:20

last one as I can approach the... I

1:13:22

just don't think we need to put it

1:13:24

on the ground there. I don't think we

1:13:26

need to do this again. The two of

1:13:28

you are the living embodiment of ADHD. Yes.

1:13:31

Well, speaking of ADHD, do we want

1:13:33

to go ADHD or science? Tim, J.

1:13:35

Cal falls for every pro -war narrative

1:13:37

there is. Oh, absolutely. He's like,

1:13:39

I'm against war, but then he falls for

1:13:41

every single narrative they've had. Absolutely. Absolutely.

1:13:43

And you did a great job. You guys

1:13:45

have done ending the war on day

1:13:47

one of your administration. Congratulations. At

1:13:49

least he's trying. Wake me up actually

1:13:51

accomplish something. actually defend the administration?

1:13:53

We've actually ended it spiritually. We've

1:13:55

ended it spiritually. We have. We no

1:13:58

longer believe in it. It's

1:14:00

actually happening in the physical world, but

1:14:02

actually spiritually the war is over. Yes.

1:14:04

So you're manifesting the end of the

1:14:06

war. Well, it's over for me. The Ukraine

1:14:08

war is fully over for me. God.

1:14:11

So Lyski refuses to make a deal. You saw

1:14:13

what happened at the White House. I mean, if only

1:14:15

we had a dealmaker to help with this. Jason,

1:14:17

you know how you would know this for sure? Because

1:14:19

my intuition tells me that what

1:14:22

Tim just said is totally right is...

1:14:24

number of Ukraine flags that were

1:14:26

taken off of profile photos. Absolutely. I

1:14:28

don't want the pronouns. No, even

1:14:30

though it's a joke, I am being

1:14:32

very dead serious. The idea of

1:14:35

it has ended. It is now just

1:14:37

about a border negotiation. It

1:14:39

is no longer a

1:14:41

totemic struggle for freedom

1:14:43

or whatever it was

1:14:45

being sold to us

1:14:47

as. Totally agree. Takeout

1:14:50

still believes that. You can

1:14:52

speak for yourself. I

1:14:55

believe the free countries, just to be

1:14:57

clear, I believe the free countries should

1:14:59

stop the non -free countries from invading them.

1:15:01

That's it. It's a pretty simple philosophy.

1:15:03

Freberg, well, what's science? Tim, at the end of

1:15:05

the show, we like to do a little

1:15:08

corner. What are some of those vice documentaries about

1:15:10

the Ukraine being the most corrupt country in

1:15:12

Europe and like a white supremacist country and all

1:15:14

these things? What happened to all those vice

1:15:16

documentaries about that? They seem

1:15:18

to disappear very quickly.

1:15:20

when Ukraine became a

1:15:22

bastion of freedom and

1:15:24

love and opportunity and

1:15:26

equality. Now you're speaking Saxon's language.

1:15:28

Well, look at that smile on face.

1:15:30

Well, Nick, just put this on the screen. I mean,

1:15:33

this just happened yesterday. Oh, God.

1:15:35

But now we've started the Ukraine. Ukraine's

1:15:37

problem the sense martial law till August. That

1:15:39

seems extreme. Yeah,

1:15:42

no big deal. They cancel elections. They cancel

1:15:44

freedom of the press. They cancel freedom of

1:15:46

religion. So Linsky's political opponents,

1:15:48

their assets have been seized. They've been imprisoned.

1:15:50

No big deal. It's still democracy. His

1:15:53

favorite dictator is Putin as

1:15:55

well. Hey, Dave Freiburg. Tell the

1:15:57

first leader after 9 -11 to

1:15:59

call the United States in

1:16:01

express sympathy. I believe it was

1:16:03

Vladimir Putin. And how many

1:16:05

times has Vladimir Putin threatened American

1:16:07

interests over the last 20

1:16:10

odd years? Like, has Vladimir Putin,

1:16:12

has Russia been an existential

1:16:14

threat to America? Have they

1:16:16

disrupted huge amounts of our

1:16:18

trade? Have they It

1:16:21

seems to be very hard. wanted to be

1:16:23

a NATO. He wanted to be our ally. We

1:16:25

were buffed him. But you know what the

1:16:27

best quality of Putin is? We're not funding him.

1:16:30

He's not asking for American money. The rest of these

1:16:32

dictators, we keep funding. He's not asking for a

1:16:34

dollar. I also like that he's well -read. But

1:16:38

he's not coming to the White House

1:16:40

begging. He's not coming to the White House

1:16:42

every three months begging for more hundreds

1:16:44

of billions. But

1:16:46

any criticism of the Ukraine war means that

1:16:49

you love Putin and want to live

1:16:51

in Russia and think Russia is great. It's

1:16:53

a very weird, mannequin sense of good

1:16:55

and evil that was instituted by George W.

1:16:57

Bush right after 9 -11 when he said,

1:16:59

you're with us or against us. And

1:17:01

with us means we're going to democratize the

1:17:04

Middle East, which I fell for because

1:17:06

I was 17 and uncooking. But in hindsight,

1:17:08

it didn't work tremendously well. And

1:17:10

I just, it's always very skeptical. I'm

1:17:12

very skeptical of these narratives where they say,

1:17:14

so if you find any fault at

1:17:16

all in what you're doing, in what we're

1:17:18

doing, you're giving, you're aiding and abetting

1:17:20

a dictator. It makes no sense to me.

1:17:22

Speaking of the 90s in cocaine, Freedberg,

1:17:24

what's in corners? You'll notice he's moving on,

1:17:26

Tim. He does not respond to that. Freedberg

1:17:29

is really upset the last couple of

1:17:31

weeks that he got preempted. I'm trying to

1:17:33

do right by Freedberg and the Freedberg

1:17:35

stands. who are just absolutely mental now that

1:17:38

we haven't talked about his incredible victory

1:17:40

on Jeopardy. And we haven't gotten to Science

1:17:42

Corner in a couple of weeks. Congrats. Tim, if

1:17:44

you were ever, what game show do you want

1:17:46

to be on, Tim? None of them. None

1:17:48

of them. None. All the money on Celebrity Jeopardy.

1:17:50

would you want to host, Tim? No game shows. You

1:17:53

wouldn't host a game show. You must have been offered. No,

1:17:55

never. I don't think I'm

1:17:57

what they want for the game show. a

1:17:59

money printing machine. You could get in a

1:18:01

game show, Family Feud or something. No, but

1:18:03

I do. It all goes to

1:18:05

charity. Was it Freeberg? Was it hard?

1:18:09

Yeah, well, I shot the quarterfinal and semifinal

1:18:11

in the same afternoon. So I didn't

1:18:13

have any, know, you go away for lunch

1:18:15

and you come back for the semifinals. And

1:18:18

I did not know how to use

1:18:20

that buzzer. And everyone else, I think,

1:18:22

had practiced or figured that stuff out.

1:18:25

So it was pretty difficult. And then

1:18:27

my brain was just blank on some

1:18:29

of these moments. You're just up there.

1:18:31

There's this intensity. You're in this game show. And

1:18:34

it's like, I know the answer. Why is it not

1:18:36

coming out of my mouth? Or why did I say that

1:18:38

thing that I know is wrong that just came out

1:18:40

of my mouth? It's a little bit kind of scary. Let's

1:18:43

show the clip here, and then we'll go

1:18:45

on to Science Corner. Watch this clip. Watch

1:18:47

this. Final Jeopardy. I'm in the last place.

1:18:49

So I was behind the entire game. I

1:18:51

was basically in last place the whole game.

1:18:53

Playing catch up. I could not buzz in

1:18:55

in time. Yeah. It all comes down to

1:18:57

this. Final Jeopardy in a very close game.

1:18:59

So exciting. This is the category. Here's

1:19:02

the clue, players. Mon Freedberg called

1:19:04

the premier movie industry event for

1:19:06

the Balkans. This festival began

1:19:08

30 years ago while the city was

1:19:10

under siege. We'll begin on the end

1:19:12

with Dave Freedberg who had $8 ,700. And

1:19:15

it looks like he changed his answer at

1:19:17

the last minute. What happened here? He wrote

1:19:19

down something and crossed it out and wrote

1:19:21

Sarajevo Film Festival. We can read Sarajevo, and

1:19:23

that's the important part, right? We're going to

1:19:25

give you credit. You wagered

1:19:27

$8 ,697, and now you have

1:19:29

$17 ,397. You're ahead of Mina

1:19:32

Kimes at the moment with

1:19:34

$17 ,000. What did she put

1:19:36

down? I did my math wrong.

1:19:38

Oh, She wrote down can, and

1:19:41

she wagered. What? A

1:19:43

thousand that drops her down to

1:19:45

16 ,000 So it comes down

1:19:47

to shongan who had 22 ,000. Did

1:19:50

he know one either way avo

1:19:52

film festival? He said Bosnia right

1:19:54

country wrong city. What did you

1:19:56

wager? 12 ,001 9 ,999 and from

1:19:58

he could just stay free

1:20:00

bird come What did he do? Can

1:20:03

I ask a question and this

1:20:05

is a very this is a

1:20:07

serious question and it is not

1:20:09

disrespectful Why do they

1:20:11

call this celebrity Jeopardy? You're correct. I

1:20:14

did not identify one

1:20:17

of those people with a

1:20:19

gun to my head. I

1:20:22

don't know. There were 27. I didn't

1:20:24

know any of them. I felt in place.

1:20:27

I mean, I think the guy

1:20:29

in the middle with James

1:20:31

Gunn's brother, who was in, he

1:20:33

played like the 17th guy

1:20:35

in Guardians of the Galaxy. What

1:20:37

is happening? I mean

1:20:39

if you're going to Marvel universes

1:20:41

characters speaking roles pull him up

1:20:43

for a second. He has non -speaking

1:20:45

role in a Marvel movie. There's

1:20:47

1400 Marvel movies and this guy

1:20:49

hasn't spoken to one. Come on

1:20:51

stop. Him. That's

1:20:54

Marvel... Who was the other

1:20:56

lady? I think

1:20:58

she's... Who's that? I

1:21:00

mean... She's on ESPN.

1:21:02

A researcher on ESPN. And

1:21:04

she does fencing, right?

1:21:07

She's the fencing person from

1:21:09

ESPN. Oh, I think

1:21:11

she covers football at ESPN. Football

1:21:13

or football? Was

1:21:15

this actually celebrity Jeopardy or

1:21:18

is this just like Jeopardy?

1:21:20

Just call it Jeopardy. Just

1:21:22

call it Jeopardy. Easy Jeopardy.

1:21:24

Just call it Jeopardy. Just

1:21:26

call it hey, we're doing

1:21:28

this thing now. They should

1:21:30

do a comedian. Okay,

1:21:33

the finals are next Wednesday at 9

1:21:35

p .m. Have you actually done the episode?

1:21:37

When is the final episode? How

1:21:40

do we make money at this? How do we front and run this? Oh,

1:21:42

he's done it already. So you know the winner. Why don't

1:21:44

we do a poly market for this? And we could

1:21:46

all cash in and get off this show. We

1:21:49

could all just cash in. Somebody

1:21:53

to shoot this dog. There is a

1:21:55

dollar number, J .K .L. Are

1:21:58

people watching this? 10 times

1:22:00

30 million, 10 times 40 million.

1:22:03

35%. Who's the first? Actually,

1:22:06

Tim's asking, do

1:22:08

the ratings go up or down for celebrity

1:22:10

jeopardy? Down. Certainly

1:22:12

down. They used to be good. So

1:22:14

I think regular, well, they do it at

1:22:16

9 PM on Wednesday nights. Okay. So

1:22:18

it's not even during. Upside

1:22:20

for celebrity to go on this. If a celebrity goes on

1:22:22

this and they're known for being smart, if George Clooney

1:22:24

goes on, right? Exactly. I realize this when I got there.

1:22:26

I'm like, wait a second. There's no upside in me.

1:22:29

doing this, I'm going to look like an idiot and I

1:22:31

answered all these stupid questions wrong and I look like

1:22:33

a moron. I'm like, why did I do that? No,

1:22:35

it's a stupid show

1:22:38

that should go away. No,

1:22:43

I mean, it's like this idea that

1:22:45

like all these people that nobody knows

1:22:47

the hell they are, it just, you

1:22:49

know, the people at home are going,

1:22:51

who the hell? What the fuck is

1:22:53

this? The lady from

1:22:55

ESPN says, caught like she thinks

1:22:58

it's in France. This

1:23:00

is just making people mad that go, hey

1:23:02

man, I got nothing going on, and these

1:23:04

people are celebrities or idiots. I

1:23:06

mean, same continent? She hit the same

1:23:08

continent, right? It's just filling people with rage,

1:23:11

looking at these people that aren't even

1:23:13

celebrities, and on top of that are morons.

1:23:15

I mean, you have an obligation to either

1:23:18

be a celebrity or be a nerd.

1:23:20

It did say the Balkans. the

1:23:22

Balkans. It did say the Balkans. This is a

1:23:24

little rough, I mean. A

1:23:26

little brutal. Hey, save the show,

1:23:28

Dave. Please, give us science corner. I'll

1:23:30

do a quick science corner. And

1:23:33

the name of the game here, Tylan, just since your

1:23:35

first time on the show, is somehow,

1:23:37

if you can get around the horn and

1:23:39

put in a Uranus joke, you'll just

1:23:41

kill with the audience. I'm going to try to

1:23:44

do that. My producer right now, we're setting up a

1:23:46

company in Bhutan. That's my whole

1:23:48

thing now. Oh, you're going to be flipping

1:23:50

H -100s. But I just learned so much on

1:23:52

the front half of the show. It's

1:23:54

a company in Bhutan. Give us

1:23:56

the chips. Wink, wink. They're

1:23:58

not going to Beijing at all. Wink. My godsons,

1:24:00

Chinese. They go in the back, they go through

1:24:02

the front, maybe the side door. My godsons, truly,

1:24:05

I swear to God, they brought him to my

1:24:07

home when he was four months old, because they

1:24:09

know I'm single and I have a little bit

1:24:11

of money, not compared to you, but compared to

1:24:13

these people. And they said, would you be his

1:24:15

godfather? He's Chinese. Absolutely, I

1:24:17

said, high end, let's go. Four years later,

1:24:19

they tell me, they go, he's actually

1:24:21

Filipino. I'm not even kidding. So

1:24:23

this is why you can't

1:24:26

trust anyone in this country

1:24:28

about anything. Even your adoption,

1:24:31

your... Wow. A

1:24:33

corrupt adoption. Okay, let's

1:24:36

do science corner. Science corner.

1:24:38

Mitochondria or... Today is Mitochondria

1:24:40

Therapy Day. So every

1:24:42

cell in our body has mitochondria.

1:24:45

Tim, you know that, right? Yeah, it's

1:24:47

the powerhouse of the cell. Powerhouse in

1:24:49

a cell exactly and it's a little

1:24:51

organelle segment. Yeah, you can drop

1:24:54

off sex. Okay. See you later Okay,

1:24:58

yeah. Excellent. I'll

1:25:00

see you at the Food Film Festival. You

1:25:05

forgot to say what is. I'll

1:25:08

see you at the Moscow Film I mean,

1:25:10

yeah, I need to run to Sean Hannity's show,

1:25:12

unfortunately. Sorry, no,

1:25:14

unfortunately. Don't say unfortunately. You

1:25:16

can leave that in. I like him. Absolutely.

1:25:18

He's amazing, yes. I really enjoy you guys.

1:25:20

Thank you for having me on. I really

1:25:23

learned this was amazing. And

1:25:25

I'd love to do it again. I

1:25:27

appreciate all of you. I

1:25:29

think you're all great. And

1:25:32

whatever you're doing on the side,

1:25:34

whatever you people eventually get arrested for,

1:25:36

I support you. Just know that.

1:25:38

I'm a supporter of whatever happens at

1:25:40

the oil and podcast. Whenever

1:25:43

it comes out that there's a reason

1:25:45

why you knew so much about the

1:25:47

Bhutan company, it doesn't matter to me.

1:25:49

I'm a fan. Thank

1:25:52

you everybody watched

1:25:54

him Dylan special

1:25:56

on the Netflix.

1:25:58

Hopefully he can

1:26:00

he was great

1:26:03

finally Eclipse love

1:26:05

on the spectrum

1:26:07

love on the

1:26:09

spectrum Okay And

1:26:12

then there were three, you know what? As

1:26:15

a standalone show and we're gonna

1:26:17

side with you you do tabs

1:26:20

corner with me. I'm going to

1:26:22

eat lunch. I love you guys

1:26:24

I got it. I got your

1:26:26

size corner. I'm with you to

1:26:28

the end brother free burdens me

1:26:30

and you buddy Tell me about

1:26:32

science quarter. I'm interested. You're interested.

1:26:34

We've got no listeners. We've got

1:26:36

no audience at this point I'm

1:26:38

here for your segment. Go ahead

1:26:41

tape Oh, for the four of

1:26:43

you and Chamath. Okay. So mitochondria

1:26:45

are the powerhouse of the cell,

1:26:47

as Tim just told us, educated

1:26:49

us, right? So every cell has

1:26:51

hundreds of mitochondria. Mitochondria

1:26:53

are what are called organelles. They

1:26:55

have their own DNA. In

1:26:57

fact, evolutionarily, mitochondria were

1:26:59

bacteria that basically ended up

1:27:01

in the symbiotic relationship

1:27:03

with what became our cells.

1:27:06

So we each have mitochondria,

1:27:08

hundreds of them in each one of our cells.

1:27:10

Each mitochondria has its own nucleus and has its

1:27:12

own DNA. And the mitochondria

1:27:14

make the energy that the rest of the

1:27:16

cell uses. That energy is called ATP, and

1:27:19

it eats up glucose or it

1:27:21

eats up ketones if you're in ketosis,

1:27:23

and it uses that to make

1:27:25

the ATP. So every cell in our

1:27:27

body gets its energy, which is

1:27:29

what it uses to function from the

1:27:31

mitochondria. And so there's been a

1:27:33

lot of research into the relationship between

1:27:36

mitochondria and aging and that dysfunctional

1:27:38

mitochondria, as they start to break down

1:27:40

and stop working and have damage,

1:27:42

may actually be a key driver for

1:27:44

many diseases that we experience as

1:27:46

humans, including many cancers, Alzheimer's,

1:27:48

Parkinson's, ALS, features of autism, muscle

1:27:50

tissues being weak, et cetera.

1:27:52

So as the cells get older

1:27:55

and the mitochondria stopped working,

1:27:57

we make new mitochondria. But over

1:27:59

time, the DNA degrades and

1:28:01

the mitochondria had become less effective.

1:28:03

And there are fewer functional

1:28:05

mitochondria per cell. The cell

1:28:07

stops working right. Can I ask you

1:28:10

question? eventually the organism stops working right.

1:28:12

Have you learned anything about the connection

1:28:14

of creatine to mitochondrial health? It's

1:28:16

part of some of the processes,

1:28:18

but there's some separate research on this,

1:28:20

but it's definitely worth spending time

1:28:22

on. We can see about

1:28:24

you taking five grams or ten grams five

1:28:26

million like a trend. Yeah, I think I know

1:28:28

five grams. Yeah, something like that. It's trending

1:28:30

on Twitter I think it's kind of like a

1:28:33

meme or a joke in addition to but

1:28:35

I don't think it's a joke is it is

1:28:37

it but it does it Is there any

1:28:39

science that backs that up or not really for

1:28:41

mitochondria? There are questions on this like do

1:28:43

you want to focus on things that are? Increasing

1:28:46

biogenesis, which is creation of new

1:28:48

mitochondria. Does that create a better benefit?

1:28:50

on the creatine work. I've read

1:28:52

some of these papers. I actually tried

1:28:54

it for a while. I

1:28:56

personally had an allergy to

1:28:59

it, which is kind of rare,

1:29:01

but happens. But

1:29:03

anyway, we can talk about it further. So

1:29:05

one of the key things was there are

1:29:07

three papers that I wanted to just highlight that

1:29:09

kind of follow an interesting theme. The

1:29:11

first one was from 2023 from Wash

1:29:13

U in St. Louis. And

1:29:16

this paper, Nick, if you could just pull

1:29:18

up that image of mitochondria

1:29:21

being transferred, these

1:29:23

folks identified and demonstrated that

1:29:25

mitochondria can actually transfer from one

1:29:27

cell to another. So

1:29:29

if you've got a cell that's

1:29:31

got damaged or dysfunctional mitochondria, they've identified

1:29:33

three mechanisms by which mitochondria can

1:29:36

move into a cell that needs

1:29:38

more mitochondria that are working and are

1:29:40

more functional. That's something that's been

1:29:42

theorized for a long time. People have

1:29:44

said, oh, well, we think mitochondria

1:29:46

transfer, but there wasn't really evidence of

1:29:48

this. So as of two years

1:29:50

ago, these guys provided very good

1:29:53

evidence of mitochondria that we can now

1:29:55

put into cells. If it's floating

1:29:57

around, it can make its way into

1:29:59

another cell. And as a result,

1:30:01

it can rejuvenate or provide energy

1:30:03

to a dysfunctional cell, which might improve

1:30:05

dysfunctional tissue or improve disease. The

1:30:08

second paper. was done last

1:30:10

month out of Columbia University. And this

1:30:12

was the first mapping of the mitochondria

1:30:14

in the human brain. And so these

1:30:16

folks created 703 tiny cubes of brain

1:30:18

from a person that passed away, a

1:30:20

54 year old donor. And then they

1:30:22

analyzed the mitochondria in each of those

1:30:24

cubes and they use that to make

1:30:26

a map of mitochondria in the brain.

1:30:28

And what it showed was that different

1:30:31

parts of the brain, different

1:30:33

cells had different amounts of mitochondria

1:30:35

and different mitochondrial function. which actually starts

1:30:37

to highlight how that difference in

1:30:39

energy production and different cells in different

1:30:41

parts of the brain may actually

1:30:43

cause some of the things like memory

1:30:45

loss or speech impairment. Or

1:30:47

as we age, the fact that

1:30:49

we end up being kind of

1:30:51

forgetful or start to lose some

1:30:54

of our capacity, that the mitochondrial

1:30:56

dysfunction in the brain might actually

1:30:58

be the key driver of that

1:31:00

aging symptomology. The third

1:31:02

paper, which just came out, came

1:31:04

out of a team at Shé

1:31:06

Xiang University in China. So

1:31:08

what these guys did, which was really incredible, is

1:31:11

they took stem cells, so stem cells that

1:31:13

they got out of human blood, and they

1:31:15

took those stem cells and they figured out

1:31:17

a way to treat the stem cells that

1:31:19

those stem cells would start to make an

1:31:21

excess amount of mitochondria than they normally would

1:31:23

make. In fact, they

1:31:25

were able to get those

1:31:28

stem cells to make 854

1:31:30

times the number of mitochondria

1:31:32

that those cells would normally

1:31:34

make. And those mitochondria were

1:31:36

on average 5 .7 times more

1:31:38

efficient at making energy ATP.

1:31:40

So they created highly energetic mitochondria and

1:31:42

they made a lot of them. And

1:31:45

the idea that we can put mitochondria

1:31:47

into our body or into tissue in our

1:31:49

body to heal it or repair it

1:31:51

has been something that folks have been trying

1:31:54

to do research around for a long

1:31:56

time. But the limiting factor is access to

1:31:58

enough mitochondria. So this mechanism that they

1:32:00

developed where they could take stem cells make

1:32:02

copies of the stem cells, make lots

1:32:04

of mitochondria, and then they isolate that mitochondria

1:32:06

and use it as a therapeutic tool.

1:32:08

And they did it in cartilage that was

1:32:10

damaged and they were able to heal

1:32:12

that cartilage. So this is a

1:32:15

group that does bone and tissue

1:32:17

repair studies, but they applied the mitochondria

1:32:19

directly into the area where there

1:32:21

was damage to the bone and the

1:32:23

bone grew back and it actually

1:32:25

improved the healing in an incredible way.

1:32:27

So this opens up the door

1:32:29

to this whole new therapeutic modality, a

1:32:32

new type of therapy called mitotherapy

1:32:34

or mitochondrial therapy, that based on the

1:32:36

series of papers that we're seeing

1:32:38

coming out recently, I believe could end

1:32:40

up becoming a really incredible new

1:32:42

therapy that may ultimately lead to the

1:32:44

treatment for many diseases that we're

1:32:46

kind of dealing with right now. So

1:32:49

I just wanted to kind of

1:32:51

link those out. this be immediately applicable

1:32:53

to say people with sports injuries,

1:32:55

you know, meniscus, knees, ankles? You start

1:32:57

to think about those bone spurs,

1:32:59

chips. that basketball players, football players go

1:33:01

through, would this be like the

1:33:04

low -hanging fruit for this technology? Yeah,

1:33:06

I mean, what they did this in, and

1:33:08

I think this was published in a research

1:33:10

magazine called Bone or something, Bone and Tissue

1:33:12

or something. Yeah. But they did it

1:33:14

an I let my subscription lapse, I got a reminder. They

1:33:17

did it in a in a model,

1:33:19

a mouse model of osteoarthritis, and it

1:33:21

repaired this osteoarthritis, but that's exactly right.

1:33:23

And so that's tissue where you can,

1:33:25

using a microscope, you can actually see

1:33:27

the healing happening. You could see this

1:33:29

being applied for example to cerebrospinal fluid

1:33:31

where you could basically increase the mitochondrial

1:33:33

the energetic mitochondrial production That finds its

1:33:35

way into maybe neuronal cells into neurons

1:33:38

in your brain and improve your brain

1:33:40

function Or you could put it into

1:33:42

damaged hearts after heart attacks and improve

1:33:44

heart function So there's all these theories

1:33:46

about how you could use mitotherapy as

1:33:48

this becomes possible to now produce lots

1:33:50

of mitochondria and use it as a

1:33:52

therapy that can then be applied to

1:33:54

lots of disease. I think there's to

1:33:56

be a bit of a blossoming of

1:33:59

research in this area. They could take

1:34:01

this if they can get this going

1:34:03

in the next two years or so.

1:34:05

They could get this and Biden could

1:34:07

actually compete with Trump for his third

1:34:09

term if they could get this to

1:34:11

Biden in time. I

1:34:13

mean, that's microphone on. That's

1:34:15

exceptionally low. And I think that that's just

1:34:18

charm. Oh, now all of a sudden you're defending.

1:34:20

By the way, did you guys see did

1:34:22

you guys see George Clooney? What

1:34:24

do you guys think of his new haircut,

1:34:26

his hair color? I noticed he

1:34:28

was, he's dying his hair. He was gray

1:34:30

and now he looks - It must be a,

1:34:32

for an acting job because his hair -

1:34:35

I hadn't seen this, this is crazy. He

1:34:37

looks - It looks like his face is melting.

1:34:39

Oh my God, he looks looks like he

1:34:41

did a, I don't know, like

1:34:43

what do they call that hair coloring for men?

1:34:45

Like you put it in the shower, it looks

1:34:47

very weird. Well, he just did an interview explaining

1:34:49

his whole op -ed on Biden, but it's in that

1:34:51

clip where he looks very different. What did he

1:34:53

say on Biden? I thought he looked really, he

1:34:55

said he felt compelled to act and that it

1:34:57

was a civic duty, although the dates don't match

1:34:59

up, but nobody ever questioned him about that. But

1:35:02

he, he looks really good. He did not get

1:35:04

a call from Obama. and pepper here. Salt

1:35:06

and pepper works a hundred percent. What does he do

1:35:08

here? Clooney's a very handsome guy, but in that, in

1:35:10

that interview, he did, I don't think he looked perfect.

1:35:13

You guys watched the white lotus, by the way. Did

1:35:15

you guys watch the white lotus? What did we think?

1:35:17

Okay. So I don't know what it was, but I

1:35:19

had heard from a bunch of you guys in the

1:35:21

group chat that the show was not good. So Nat

1:35:23

and I ignored it. Then we started it. We watched

1:35:25

one episode. Phenomenal. Oh,

1:35:27

you loved it. Well, we're one

1:35:29

episode in, but it was great.

1:35:31

And we were like, this is

1:35:33

really good. And then, you know,

1:35:35

I don't think it's terrible. And

1:35:37

the kid Schwarzenegger, Patrick Schwarzenegger is

1:35:39

a fan of all in, apparently.

1:35:41

Patrick Schwarzenegger. I can

1:35:44

tell that that guy has

1:35:46

one of the most

1:35:48

interesting roles. in that series,

1:35:50

I'm really looking forward to him. Who

1:35:53

else was really cool? DM the other

1:35:55

day, we were following each other. I saw

1:35:57

and he said, great pod. He DMed

1:35:59

me and said, great pod. And I said,

1:36:01

great job. And then I mentioned, you

1:36:04

know. Patrick Schwarzenegger is your friend? Well,

1:36:06

I guess it's like, what does it

1:36:08

mean? Like micro celebrity DM friends? I

1:36:11

don't know. You could be on Celebrity

1:36:13

Jeopardy. I could literally be on Celebrity

1:36:15

Jeopardy. I think. I think I

1:36:17

would prefer to do Hollywood Squares. I feel like

1:36:19

Hollywood Squares, I could shine because you get a

1:36:21

little one -liners in, like the jokes are kind

1:36:23

of built into it. A lot more fun. But

1:36:25

I think we should do Family Feud versus another

1:36:27

podcast squad. So like us versus -

1:36:29

Why do you aim so high always? Well,

1:36:31

I think Family Feud's funny. I think it's funny. All

1:36:34

right, everybody, this has been another - That would be

1:36:36

a lot of fun. That's a good idea. In fact,

1:36:38

we should do it with Schultz and his crew. The

1:36:40

four of them and the four of us. Yes, Paulin

1:36:42

Vols is Schultz -y in his crew. That'd be hilarious. Eight

1:36:44

people would watch. No,

1:36:46

you're incorrect. No, people

1:36:48

would love it. Yeah. Yeah. This

1:36:50

is definitely something for John to get on. If

1:36:52

we're done sniffing our own butts, let's go. We

1:36:55

gotta go. Okay. Love you guys. you.

1:36:57

For the number one podcast in the

1:36:59

world, Shamath Pahlihapatiya, your chairman, Dick Payton,

1:37:01

David Freberg, yourself in the science, Tim

1:37:03

Dillon. Great job today,

1:37:05

and we will see all. And David

1:37:07

Sacks. Don't forget David Sacks. I'm sorry.

1:37:09

The czar. The czar.

1:37:11

Huzzah to the czar, who

1:37:14

apparently is back. I was

1:37:16

back. Love you boys. All

1:37:18

in Summit, September 7 to 9.

1:37:20

Bye -bye. All in fan meetups are

1:37:22

happening. Episode 225, Saturday, April 26. Go

1:37:24

to allin.com slash meetups to join

1:37:26

and meet and host a meetup with

1:37:29

other All in fans in your

1:37:31

town. We'll see you all next time.

1:37:33

Bye -bye. We

1:37:44

open source it to the fans, and

1:37:46

they've just gone crazy with it. Love you,

1:37:48

Wes. I'm Queen of Kinoa. I'm going

1:37:50

all in. Besties

1:37:56

are gone. This is

1:37:58

my dog taking a notice in

1:38:00

your driveway. set up. Oh, man.

1:38:03

Oh, man. He We

1:38:05

should all just get room and just have

1:38:08

one big huge orgy, because they're all just

1:38:10

useless. It's this like, sexual tension, that we

1:38:12

just need to release somehow. What?

1:38:14

You're a bee. What?

1:38:16

You're a bee. What?

1:38:18

You're a bee. We need to get merch. I'm

1:38:21

going all in. What?

1:38:29

What? going all in.

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