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H-1B Shakeup, Kimmel Apology, Autism Causes, California Hate Speech Law

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H-1B Shakeup, Kimmel Apology, Autism Causes, California Hate Speech Law

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2360 segments

0:00

All right, everybody. Welcome back to

0:01

the number one podcast in the world, the

0:04

All-In podcast. We're back. We're back.

0:07

We got the original crew here. It's a

0:09

tight foresome with me again. He's

0:13

returned from, I believe, the UAE. And

0:16

Mina, the one, the only, your chairman,

0:19

your dictator, Chamath Polyhapatia. He

0:22

puts the dick in dictator. That's what

0:23

they all say. How you doing?

0:25

>> Good. You?

0:27

>> So, you went and you got that. Wow.

0:28

What's that beautiful airline that we

0:30

all take to the region?

0:31

>> Emirates first class. Yeah.

0:33

>> Oh, Emirates first class cabin.

0:35

>> It's insane.

0:36

>> With the wine. Take everybody in cuz I

0:39

do business class for 14 dimes round

0:41

trip.

0:41

>> Emirates is unbelievable. But the

0:44

problem is there's like literally a

0:45

thousand movies. A thousand. So you have

0:47

to like favorite out 30 or 40 of them.

0:50

>> There was like 95 different menu

0:53

choices. I had probably 8,000 calories.

0:56

>> Oh, really? And that was just the wine,

0:58

I take it.

0:59

>> Yeah.

0:59

>> By the way, the wine is incredible. The

1:01

wine list like 1996 mantros. And I was

1:05

like, is this an air I had never seen an

1:07

airline wine list? It was pretty strong.

1:10

>> Did you bring your Sier Josh? Was he in

1:12

the cabin next to you with his own?

1:14

>> I didn't need it. No, I didn't need it.

1:15

I

1:15

>> like that. I like that. And of course,

1:16

your Sultan of science. We got a great

1:18

docket for him. It's kind of like the

1:20

Super Bowl for Sultan fans this week

1:23

because

1:24

>> Yeah. I hope I deliver, bro. I mean,

1:27

cured autism and you're going to comment

1:29

on it. It's a pretty big deal. It's a

1:30

pretty big deal.

1:33

>> Let your winners ride.

1:37

[Music]

1:41

>> We open sourced it to the fans and

1:43

they've just gone crazy with it.

1:48

>> And then of course ah the one, the only.

1:52

He puts the bizaar in Zar.

1:55

David Sax calling in from his

2:00

>> You got backwards. It's It's You put the

2:02

Zar in bizaar, not the bizaar in SAR.

2:06

>> Yeah, I kind of was. I'm playing with

2:07

it. I'm workshopping. It's I've been

2:09

trying both ways. Um but yes. And uh

2:11

you're calling in. You're echoing which

2:13

is great.

2:14

>> I'm on the road.

2:15

>> You're on the road between meetings?

2:17

Well,

2:18

>> yeah, basically. Exactly.

2:19

>> Are you in a Are you in a motorcade? No,

2:22

no.

2:22

>> Okay, listen. The topic of the week,

2:24

H-1B visas are being overhauled.

2:28

Trump administration announced a new

2:30

$100,000

2:32

fee for all future H1B applications.

2:35

It's a onetime fee. There's been a

2:37

little confusion about it uh and the

2:39

details, but you know, that's how they

2:40

they do things in the 47th. Just some

2:43

excitement, a big announcement, and then

2:44

we we figure out the details. Lutnik

2:46

originally said it would be a h 100,000

2:47

a year, but then the White House

2:49

clarified it will be a onetime fee. This

2:51

is a huge jump. The current fee is

2:53

nothing. It's like 2 to 5K that you pay

2:56

to the government. You might pay a

2:58

lawyer, you know, double that or triple

2:59

that to to do the work for you if you're

3:01

a big corporation. Um but um you know,

3:04

this this hits on a lot of the Trump

3:06

campaign promises, tougher on

3:08

immigration, looking out for US workers.

3:10

We've talked before here about the abuse

3:13

uh in the H-1B system. I'll give some of

3:15

my personal

3:17

um you know insights in that after maybe

3:19

I throw to you Chimoth. And before I do,

3:21

they had an interesting poly market.

3:23

Will courts block Trump's 100K H1B by

3:26

September 30th? 3% chance in that

3:28

happening. So it looks like everybody's

3:30

kind of aligned with them with this

3:32

program. All right, Sachs. Uh I know

3:34

you're on the road, but your your your

3:37

fans demand to hear your take on this.

3:40

What what's what's your take? I think

3:41

it's a good idea to have this $100,000

3:45

fee. And I'll tell you the reason why is

3:48

because right now there's something like

3:51

five times as many H-1B applications as

3:54

there are slots. So I think they grant

3:56

about 85,000 H1Bs a year and many more

4:01

apply for it. And as a result they have

4:04

a lottery where they just kind of I

4:06

guess they randomly choose who the

4:07

winners are going to be. And if you look

4:09

over the past decade, roughly half the

4:11

H-1Bs go to these like IT consulting

4:14

firms. Yes.

4:15

>> And the average salary is like $65,000 a

4:18

year. So it kind of puts the lie to this

4:21

idea that you hear that H-1Bs are for

4:23

like high-skilled engineers, AI

4:26

researchers, things like that. That's

4:27

not in practice what happens. Uh in

4:30

practice, what happens is you have this

4:32

lottery and a huge chunk of them end up

4:34

going to low-end IT jobs. And I think by

4:38

putting this $100,000 fee on it, you

4:42

encourage the applications to go to the

4:44

actual higher skilled, higher paid jobs

4:47

where there's actually a shortage of

4:49

Americans and you encourage US companies

4:52

to try to fill those jobs with Americans

4:54

first. And so I think, you know, putting

4:56

aside some of the the details, I think

4:59

the big picture here is that they're

5:02

using market forces to put some scarcity

5:06

around that H-1B application. And I

5:08

think what that's going to do is

5:10

encourage applicants to to actually be

5:13

these higher paid, higher skil jobs that

5:15

the program is supposed to be for

5:17

instead of these lower-end IT shops.

5:19

>> Yeah, these are supposed to be for

5:21

highly specialized workers. I can tell

5:23

you,

5:25

you know, when I was in IT in the early

5:27

90s, the abuse was happening all the

5:30

time and it was indentured servitude. It

5:33

was disgraceful. The IT people would

5:34

hire uh typically Indians and they would

5:37

say stuff to the effect of these guys

5:40

are going to work for half as much and

5:42

twice as long and they can't say no.

5:44

That's the best part of it. They can't

5:46

say no when we put them on weekend

5:47

coverage. You can't say no if we want to

5:49

do a buildout and they have to work 10

5:51

days in a row because we can kick them

5:52

out of the country and they have 30 days

5:54

to find a new job. And so it's it's a

5:58

giant scam on the bottom half of these.

6:00

I witnessed it firsthand. Every

6:02

discussion I've ever had about H1Bs,

6:06

you know, in relation to IT and

6:08

consulting has always been about saving

6:09

money. And the truth is it's been

6:11

abused. And I talked about this in 2015

6:14

on CNBC Chamath when Trump first started

6:17

to talk about it. He's been on this for

6:19

a while and uh it's just great to see

6:21

them I I had suggested 20K a year and

6:24

that's kind of where they wound up. I

6:26

additionally think they should do an

6:28

auction for onethird of these. Let all

6:30

these big tech companies that are truly

6:32

trying to get in very unique PhDs from

6:35

Oxford in AI, man, let them just put out

6:39

how many they want to buy and at what

6:40

price. do a reverse auction and fill

6:42

onethird of them with I don't know maybe

6:44

open AAI or XAI or Microsoft jumps the

6:47

fence and pays 100K 200k per person.

6:51

What do you think Chimath just broadly

6:52

speaking on this and the policy the

6:55

abuse everything? I came to the United

6:58

States initially on a TN visa which is

7:02

the NAFTA visa between Canada and

7:05

America and then I switched to an H-1B

7:06

and then I got my green card and my

7:08

citizenship in

7:10

the early 2010s. Elon came in on an H1B.

7:13

Sundar Pachaya came on an H1B. Satin

7:15

Nadella came in on an H1B. There's a lot

7:17

of folks that have done a lot of good

7:19

things that have used this specific

7:21

visa.

7:23

That being said, I think Saxs is right

7:25

that

7:27

people have found an endound and have

7:31

been abusing this H-1B system. There was

7:34

an incredibly exhaustive thread by

7:36

Robert Sterling.

7:39

I think it was about a year ago, but I

7:40

wanted to use that as a jumping off

7:42

point to explain a couple of reasons why

7:45

I think that there's been rampant abuse.

7:47

The first thing is the H-1B program is

7:51

supposed to be 85,000 visas a year, but

7:56

here is the data. And so what you see is

7:58

that in many years, including the last

8:01

several, it's been upwards of 10 times

8:04

that number.

8:07

And so there are a lot of people that

8:10

are getting shoehorned into this

8:12

program.

8:14

And when you see this, you can start to

8:16

see why a lot of people are saying that

8:18

there is wage suppression and that it's

8:20

taking away from American jobs. Because

8:22

if the program was meant to be for

8:24

85,000,

8:25

you would think, well, listen, that's a

8:26

drop in the bucket. Nobody would feel

8:28

that in the American economy. But when

8:30

you start talking about almost a million

8:32

people a year, 600,000 to a million a

8:34

year, that starts to be perceptible and

8:37

that is absorbing

8:39

a lot of revenue and wages that would

8:41

otherwise go to

8:43

domesticorn

8:45

and legal immigrants that are already

8:48

here. So that's thing number one.

8:51

Thing number two is there was a myth

8:53

that these H-1Bs were these extremely

8:56

highly skilled people. And what Robert

8:59

found out in the data is that actually

9:01

no, it's not really that case. And so I

9:05

think the average salary, I just want to

9:06

get this exactly right, it's slightly

9:09

under $120,000.

9:12

Now, if you started to tell me that

9:15

these were the best-in-class PhDs in all

9:18

of these whisbang industries where the

9:20

companies are raising billions and

9:22

billions of dollars, you guys already

9:24

know that this salary would not pass the

9:26

smell test. Most executive assistants at

9:29

tech startups make more than $119,000 a

9:32

year. So, the idea that some qualified

9:34

grad is making this should already sort

9:37

of set off alarm bells that maybe where

9:39

there's smoke, there's fire. So that's

9:42

the second thing. So number one, we've

9:44

been overallocating by 5 to 10x. Number

9:47

two, these salaries aren't these

9:49

incredible salaries that you think of,

9:52

which tends to mean that there is the

9:53

potential, as Jason you said, in some

9:55

form of indentured servitude and wage

9:57

suppression. That's not good. And then

10:00

the third thing is you would ask the

10:02

question, well, who gets these things?

10:05

And it turns out, as Sax said, a large

10:08

plurality of these visas don't actually

10:12

go to American companies that are

10:14

looking to hire talent to make this

10:17

American business do better. These are

10:20

foreign companies that are arbiting

10:23

labor and bringing people in.

10:25

>> So crazy.

10:26

>> Cognizant is not an American business.

10:28

Infosys is not an American business.

10:30

Tata, we pro.

10:32

>> It's not to say that that in and of

10:33

itself is wrong. But you need to find

10:36

the right visa class to do this under.

10:38

>> Yeah, they're hacking it.

10:40

>> And so when you put all of this

10:42

together, I think the sort of broad

10:44

takeaway is from where this started and

10:47

what it was intended to do, we've

10:50

deviated pretty wildly. And I think that

10:53

this is a very important reset. Now, the

10:56

last comment I want to make is about the

10:58

people that say, "Hold on, we are going

10:59

to cut our nose off despite our face."

11:02

And it's going to stop an inflow of

11:04

incredible talent.

11:06

And what I would just remind people is

11:09

that it is really important to remember

11:10

that when you are in the United States

11:12

for a masters or PhD, you already get an

11:15

automatic visa. It's called OPT. So you

11:19

have multiple years when you graduate

11:21

from a useful degree program in the

11:23

United States to find a job. I have

11:25

several of these folks that work for me

11:26

at 8090. These are incredible grads from

11:28

Carnegie Melon. they are off thecharts

11:31

smart but because they did a masters or

11:33

a PhD they come with a couple of years

11:36

and you can oftentimes extend that and

11:38

that will give us a very good amount of

11:41

time to figure out how exceptional they

11:44

are and then quite honestly I would

11:46

gladly pay the 100,000 to get these guys

11:49

on an H-1B program. So, I think if we're

11:52

going to try to return this to what it

11:54

was meant to be, which is to help

11:56

American companies excel, get the best

12:00

of the brightest.

12:02

These changes, I think, are very good

12:04

measures to course correct and get us

12:06

towards that.

12:06

>> And to just give people the history of

12:07

this, this was something that was

12:08

started after World War II to get really

12:11

specialized people like Polish and

12:13

German, like geniuses building out

12:15

rockets. And I had a really interesting

12:18

discussion. If you could pull this tweet

12:20

up, there's another sinister wrinkle to

12:24

this. I had um this gentleman uh Colin

12:27

on and he went to apply for a product

12:29

manager. I had him on this weekend

12:30

startup. It's my other podcast and he

12:32

applied and sent a resume with the

12:35

reference number to the specific job

12:37

Freedberg that he wanted at a company

12:40

New Relic. And

12:43

he did this because in order to have an

12:45

H-1B visa,

12:48

you have to put the job in a newspaper,

12:50

right? So what these companies allegedly

12:52

are doing is putting these jobs in these

12:55

like obscured newspapers so that

12:57

Americans don't see them. They're not

12:58

putting them in places, you know, that

12:59

you might see them. And there's a group

13:01

of Americans who are going and finding

13:02

these jobs and saying to Americans, "Go

13:04

ahead and apply. Here's the shadow

13:06

jobs," I think is what they call them.

13:08

And so he put the reference number in

13:10

there and they wouldn't even interview

13:11

him. And I talked to him and he's kind

13:12

of crest falling. He's like, you know,

13:14

I'm I would like to apply for this job,

13:16

but it's obvious that I can't get into

13:18

it. This is like I think just shows the

13:21

entitlement of these tech companies. And

13:23

I don't know New Relic's position on

13:25

this. They can email us and I'll I'll

13:27

give it in the next episode, but they're

13:30

basically listing fake jobs. and uh

13:33

somebody Abby from People Ops over there

13:36

just kind of doesn't even let him

13:38

interview for the job. The whole thing

13:39

is just really dirty at the at the low

13:42

end and at the high end it's under

13:44

monotized. So Freeberg, your thoughts on

13:47

this? I know you have a lot of friends.

13:49

You're an immigrant yourself. I'm not

13:50

sure how you got here and what visa you

13:53

came under, but I think it came when you

13:55

were a kid, right? I'm not sure what

13:56

your parents came under, but what are

13:57

your thoughts on this and the impact it

13:59

might have? Well, I think there should

14:01

be two separate programs for what we

14:04

could call highly skilled workers. What

14:05

you were referring to after the end of

14:07

World War II, there was a secret US

14:10

operation called Operation Paperclip

14:14

where we tried to recruit German

14:17

scientists and engineers. Between 1945

14:20

and 1959,

14:23

America recruited, I think, 1,600 of

14:26

these scientists. So it was both call it

14:30

disabling to an American rival or

14:32

adversary but also expansive because

14:35

that was when the nuclear industry was

14:36

growing and much of nuclear science was

14:39

being pioneered in the earlier days in

14:41

Germany.

14:42

And so the kind of American workforce

14:45

expanded but more importantly a new

14:47

industry was able to be enabled and

14:48

unlocked and grown in the US and then

14:51

the the the German state was disabled by

14:54

losing these scientists. One could make

14:56

the case that a similar sort of scenario

14:58

should exist today that we should have a

14:59

second operation paperclip and perhaps

15:02

it should be a continuing process rather

15:04

than necessarily kind of this LZ fair

15:06

process that we have today where we

15:09

identify some of the top industries and

15:11

the top scientists and this top domains

15:14

and go after those scientists

15:16

proactively with government action,

15:18

government support in partnership with

15:20

private industry. If you look at papers

15:23

being published across mainstream

15:26

scientific journals,

15:28

the majority of papers today across

15:30

nearly every scientific domain are being

15:33

published out of China. And this ranges

15:36

from physics to chemistry to material

15:39

science to biotech. And there's a real

15:41

case to be made that perhaps those

15:43

scientists would be better off and

15:45

America would be better off if they were

15:47

doing their research pioneering here

15:50

rather than there. Yeah. So I think that

15:52

there's a very good strategic case to be

15:54

made that perhaps like a more directed

15:57

high energy high effort kind of

15:59

operation paperclip be undertaken again

16:01

around the world. The H-1B program I do

16:03

agree has been heavily abused as a way

16:05

of kind of compensation arbitrage. And

16:08

you know, if you find a high highly

16:09

qualified excellent talent, as we all

16:12

know, for a high-skilled laborer in

16:14

engineering or science today, that

16:16

person, if you advertise the H-1B over 7

16:19

years at 100K, that application fee,

16:21

that's 15K a year, call it, that

16:24

certainly seems worth it for the right

16:26

sort of talent and it forces the

16:29

question about can this person be found

16:30

in the United States or not. The

16:32

alternative would be to force a higher

16:34

salary range such that you as a company

16:36

are now basically being forced to pay a

16:39

higher salary which means you have to

16:41

justify that this person is worth it to

16:43

bring them in from ex US and you can't

16:45

find the talent locally. I'll tell you a

16:47

program where we do this where it

16:48

doesn't work in the US is called the H2A

16:51

program. This is the immigrant farm

16:53

worker program that we use for temporary

16:54

labor on farms. And the way that program

16:56

is set up today is you have to pay the

17:00

farm worker that comes in on an H2A

17:03

some amount over minimum wage. And the

17:06

amount that you have to pay over minimum

17:08

wage is a function of the average wage

17:09

in that state across all industry. In

17:12

the case of Florida, they're paying5

17:15

to$10 over minimum wage for farm workers

17:18

and they cannot get any Americans to

17:21

work on the farm. and they're being

17:23

forced to pay $5 to $10 overage. And by

17:26

the way, these farmers and these farm

17:28

businesses are being heavily subsidized

17:29

by the government. One way to think

17:30

about the ridiculousness of what's going

17:32

on is the US taxpayer is paying a

17:35

premium salary to foreign workers.

17:39

What we should be doing is enabling when

17:40

there's no workers available in the US,

17:43

we should be enabling a free flow of

17:45

labor, but only in the case where

17:46

there's no workers available in the US.

17:48

But there is a downside to that model as

17:49

we're now seeing in the in the a

17:51

industry. farmers are losing money

17:53

across the board and they're having to

17:54

pay a premium for foreign workers to

17:57

come and work on the farm and they can't

17:58

get US workers. There's two sides to the

18:00

sword on this is my point. But I do

18:03

think this operation paperclipip notion

18:05

should be taken on as a separate kind of

18:06

strategic mandate.

18:07

>> Absolutely. Yeah. And that was a lot of

18:09

the Jewish scientists had already fled

18:12

Germany. My understanding paperclip was

18:14

for the Nazis, the former Nazi

18:16

scientists,

18:17

>> and they were working on some pretty

18:19

dark and cutting edge stuff in chemical

18:22

and biological. It just wasn't rockets,

18:23

right?

18:24

>> Well, it was everything.

18:25

>> It was everything.

18:26

>> Remember, at this era, we were just

18:27

developing quantum theory, and quantum

18:29

theory led to nuclear science, which led

18:31

to the development of the atomic bomb.

18:33

So, yeah, I think Operation Paperclip

18:35

was pretty farreaching. But today as an

18:38

American, do you really want all of the

18:40

cutting edge research in material

18:41

science, in physics, in chemistry, etc.

18:44

to acrue to China? Or should we be

18:46

thoughtful about it's intellectual

18:48

talent that's making these

18:49

breakthroughs? It's not necessarily

18:50

institutional capacity. It's not like

18:53

they have better institutions per se

18:54

than we do. We have amazing

18:56

institutions, amazing capacity, amazing

18:58

place to live and so on. So there's a

19:00

real kind of mandate that we should

19:02

probably think about undertaking here,

19:03

not just for extension of our industry

19:05

base, industrial base, but also for

19:07

disabling what we would consider rivals

19:09

or what American might consider rivals.

19:10

>> Just on this Operation Paperclip point,

19:12

it's interesting that

19:15

China, the Chinese government took away

19:17

the passports of the engineers at

19:21

Deepseek after

19:24

>> the launch of that model, or at least it

19:25

was publicly reported. I can't attest to

19:28

this from firsthand knowledge, but there

19:30

are definitely a lot of reports about

19:32

this and you can see why. I mean, if we

19:35

could recruit or snap up a few hundred

19:38

or at most a couple of thousand of these

19:41

top AI engineers, that would be a

19:43

gamecher

19:44

>> totally

19:44

>> in the AI race. So, China has start to

19:46

see those people as a strategic asset

19:49

and they're not going to let them

19:50

immigrate, I don't think. But it it

19:52

would be something for us to think

19:53

about. Certainly on the chip design

19:55

front, there's probably just a few

19:58

thousand people. That's all we're

20:00

talking about. That would be a gamecher

20:01

on that side. Although they're largely

20:04

in Taiwan, not China. And again, I don't

20:06

think the Taiwanese government's going

20:08

be too excited for us to snap them all

20:10

up and move them to America. But in both

20:14

these fields, there are a relatively

20:16

small number of people, kind of like in

20:18

the space race, who if they were all in

20:19

America, it'd be a huge game changer.

20:21

>> Here's the thing. We do have a really

20:24

rich diversity of people from all around

20:26

the world in higher ed institutions in

20:29

the United States getting masters and

20:31

getting PhDs. We just need to be better

20:34

organized about what to do with them and

20:37

we need to sort of reach out to those

20:38

people, build relations with them, take

20:40

advantage of OPT and then we can always

20:43

create a different class of visa for

20:45

them. We have the ability to do these

20:47

things called national interest

20:48

waiverss. So all of the infrastructure

20:52

exists and I think that if we can clean

20:54

the decks on the H-1B stuff, it'll give

20:58

people a lot more incentive to support

21:01

the national interest waiver concept. I

21:03

think the reason why people don't

21:05

believe in this entire immigration

21:08

conversation is on every

21:11

part of the distribution of immigration,

21:13

people see problems. They see an open

21:16

border on the one side,

21:17

>> worried it's going to be abused. Yeah.

21:18

Exactly.

21:18

>> Exactly. Yeah, it's abuse and and it

21:20

feels terrible.

21:21

>> There's been too many of these horror

21:22

stories where an American is told to

21:26

train their H-1B replacement who's

21:28

making 25% as much. Look, I shouldn't

21:30

even tell this story, but it was told to

21:33

me yesterday, and I don't know this to

21:36

be true, so I don't want to fan the

21:37

flames of speculation here, but what I

21:39

was told is that in certain countries,

21:42

there are these puppy farms that

21:44

essentially get these kids onboarded

21:47

into US colleges. They're not the great

21:50

colleges, but they are decent enough in

21:53

all far-flung corners of America. get

21:56

them into M's programs, they pay for

21:58

their school, and then these folks have

22:00

to then send money back to pay off their

22:02

degree. So, if that's happening, then

22:03

these kids are being abused as well,

22:06

>> right? So, the whole thing has just

22:08

completely run a muck, and I think we

22:09

need to clean it up. At that point, we

22:12

have the chance of rebuilding trust

22:13

where then we can propose what Freeberg

22:16

talked about and everybody would be

22:17

supportive because they see that the

22:19

system works as intended. I think

22:21

closing of the border I think has made

22:23

people feel a lot better about it

22:25

because that was so abused that people

22:27

just look at immigration in one bucket

22:28

and they don't separate it into multiple

22:30

buckets. There's compassionate you know

22:32

people who are true dissident who we

22:34

want to show compassion for. It's a

22:36

small number of people. Then you have

22:37

all these folks who were being taken

22:40

with mules and coyotes over the border

22:43

and uh then using that same

22:46

compassionate designation and abusing

22:48

that. And and when you do see that

22:50

abuse, I think people when they hear

22:51

Trump come on here and when he was um a

22:54

presidential candidate, President Trump

22:55

came on and said, "Hey, we're going to

22:56

staple a green card right to those

22:58

degrees." And then he immediately got

23:00

backlash. Well, now I think if things

23:02

have calmed down and now President Trump

23:04

and the administration have the high

23:06

ground. They could say, "Look, we closed

23:07

the border. Now we should have a really

23:09

thoughtful discussion. We're giving

23:11

these people American educations. They

23:13

want to start companies. They want to

23:14

build our companies. They want to build

23:15

products and services. Those products

23:17

and services are going to create more

23:18

jobs. And look, we're at 4% unemployment

23:20

4.x. You know, we're we're in good shape

23:23

because we closed the border." And

23:25

that's where you had millions of people

23:26

coming in. And that was the true

23:28

problem. And this isn't the

23:30

>> problem. You make a really great point,

23:32

Jal. I mean, using the one word

23:34

immigration to wrap up all of people

23:38

that are coming to the United States, I

23:40

think masks the real series of things or

23:42

set of things that are underlying people

23:44

seeking asylum, people in need, but then

23:46

also people that we want to go attract

23:48

and bring here actively.

23:50

And it's not probably not the right term

23:52

to use just the word immigration.

23:55

It should have a recruitment and a

23:57

qualifier for every term.

23:58

>> Yeah. The term is recruitment. What you

24:00

described the paperclip mode. That's

24:02

recruitment. Then you have dissidence

24:05

and that is compassion for true

24:07

dissonance. And then there's

24:08

>> family and family

24:09

>> and family. Great. So you have

24:11

compassionate dissonance and family

24:12

members. And then you have this big

24:13

thing in the middle which is everybody

24:14

in the world wants to live here.

24:16

Everybody can't. That's immigration. And

24:18

so just put it in three buckets. And

24:20

then our leaders need to have

24:21

discussions, three different discussions

24:24

and have it in a thoughtful way, not

24:26

muddy the waters and politicize this.

24:28

That's what's been causing such a big

24:30

problem. Both sides of this argument

24:32

have been so charged hopefully now that

24:34

the biggest one has been deathly done by

24:38

Trump.

24:38

>> Trump said it at the UNGA. He said, "You

24:41

know how many people have crossed the

24:42

border since since I came into office?"

24:44

He said, "Exactly zero."

24:46

>> Yeah. Yeah.

24:48

>> That's incredible.

24:49

I mean, we have the greatest military in

24:52

the world. We can't close the border to

24:54

people who are coming on, you know, with

24:57

backpacks across the border. Like, we

24:58

should be able to secure the border with

25:00

drones and cameras.

25:02

>> It was done deliberately. They opened

25:03

the border and you know that,

25:05

>> of course,

25:05

>> because remember when Texas tried to put

25:08

up barbed wire

25:10

>> to enforce their own border?

25:12

>> That's right.

25:13

>> The Biden controlled border patrol uh

25:16

got rid of it. They removed it.

25:18

>> That was a test. No, this this was done

25:19

deliberately.

25:20

>> Yeah,

25:21

>> that was a perfect tell. Like I remember

25:23

I remember when we covered that last

25:24

year. That was the total tell. Okay,

25:26

Freeberg, some major news uh in science

25:29

this week. Let's talk about autism and

25:32

the press conference that happened this

25:34

week with Bobby Kennedy and President

25:37

Trump. Here is the chart. Autism has

25:39

increased dramatically over the years.

25:42

There's a big debate of what's causing

25:44

this and there's obviously correlations,

25:46

there's causations, there's the testing

25:48

of this and maybe we're just testing uh

25:52

a little bit too loosely around this,

25:53

but we went from 1 in 10,000 in 1970 to

25:56

1 in a,000 in 1995 to 1 in 32 in 2022.

26:02

the press conference Freeberg was a

26:04

little spicy and unique, performative

26:07

maybe were some of the criticisms, but

26:08

there's a real issue here and why don't

26:10

you take us through it and educate us so

26:12

we can kind of get to reality because

26:14

the press is having a field day with

26:16

this obviously on both sides.

26:17

>> I think autism just like Alzheimer's

26:20

there may be several underlying

26:23

conditions that lead to what we would

26:24

call the phenotype of autism. That is

26:28

what we all observe as autism. You know,

26:30

it's considered a spectrum disorder.

26:31

There's many different variations of it.

26:34

There may actually be many different

26:35

underlying conditions or underlying

26:38

drivers, biological drivers that are

26:40

causing it. One of the drivers that came

26:43

up during the press conference and in

26:45

the subsequent interviews that Marty

26:46

McCary, head of the FDA, has done is

26:49

that they've identified and shared

26:51

papers that have been out for some time

26:53

that there is a receptor that absorbs

26:56

folate, a type of vitamin B and that

26:59

that folate receptor may be attacked by

27:01

the immune system and as a result you

27:02

can't really uptake vitamin B and so

27:04

those cells dysfunction and when those

27:06

cells are dysfunctional you end up

27:08

having what looks like what we call

27:10

autism.

27:11

And so one of the things that they

27:12

announced is they're going to work on

27:14

getting the label updated for lucavorin

27:16

which will resolve for many people the

27:19

folate receptor issue. The other thing

27:21

they they brought up is a paper

27:26

that was done by Andrea Bakarelli who's

27:29

dean of the Harvard Thchan School of

27:31

Public Health. This paper is is a bit

27:34

old

27:35

where he took several studies and

27:37

analyzed them and showed that across 46

27:40

studies.

27:42

Nine of them showed no association with

27:44

acetaminophen, the main active

27:46

ingredient Tylenol, four showed a

27:48

negative association, meaning it was

27:50

actually protective and good for the

27:51

fetus. and 27 had a slightly positive

27:54

association which means that it was

27:56

having some contributo effect to both

28:00

ADHD and autism spectrum disorder when

28:03

women would take acetaminophen while

28:04

pregnant. And Nick, if you want to just

28:07

pull up that image from the paper, this

28:08

is the original paper that was published

28:11

by Bakarelli. So again, he didn't do any

28:13

primary research. He didn't actually go

28:14

and study patients. He took the data

28:18

from 46 other studies and then he added

28:21

it all together to run this kind of

28:23

macro analysis. And you can see here

28:25

that he showed some risk. There's no

28:29

specific way to quantify that risk. But

28:31

there's some increased risk of having

28:33

attention deficit hyperactivity or

28:35

autism as a result of taking

28:38

acetaminophen while pregnant. Now I

28:40

think autism again one of the

28:42

underlyings might be this autoimmune

28:45

condition associated with the folate

28:46

receptor. What causes autoimmunity is a

28:48

whole another conversation and we can

28:50

get into the vaccine stuff if you guys

28:51

want to because there's obviously a lot

28:53

of conversations going on right now

28:55

about the immune system being

28:58

primed to have kind of an auto antibbody

29:02

response but uh there may be other

29:04

things contributing to it. So I think

29:05

it's pretty clear that our modern world

29:08

in the last couple of decades there's a

29:10

cumulative effect of environmental

29:12

exposures that children are getting.

29:14

Whether it's microlastics,

29:17

whether it's chemicals in the food,

29:19

whether it's just the environmental

29:21

exposure in the air related to small

29:23

molecules, whether it's related to other

29:26

things we're putting in our body. Every

29:28

one of these things, the way to think

29:29

about it is maybe if it has a positive

29:32

effect, it might increase your chance of

29:34

autism by 0.05%. And then another thing

29:36

might increase your chance by 0.07%. And

29:39

so on and so forth. And so when you add

29:41

up all the things in our environment,

29:43

there may be a cumulative effect that

29:45

has a result in different underlying

29:48

conditions in our body that may result

29:51

in what looks like things that we call

29:52

autism. And so none of these are very

29:55

specific. There's one shot and one path

29:57

and one specific thing and I I think

29:59

that's very important.

30:00

>> Yeah. Let me just um ask two clarifying

30:02

questions really lightning round you

30:03

Freeberg. Number one for the audience.

30:06

How is autism diagnosed in these

30:09

studies? Is there a blood test, a

30:11

genetic test or is it just a bunch of

30:14

questions? I know the answer but I

30:16

wanted you to clarify it for everybody.

30:17

And then how does this the geographical

30:21

differences in autism just like we saw

30:25

with trans kids, you know, there's many

30:28

in certain cities and none in others. So

30:31

maybe you could talk a little bit about

30:33

those two issues which I think many

30:34

people have been talking about.

30:36

>> So I don't think that there's one

30:38

specific diagnostic test for autism as

30:41

if it was one disease. Again, these are

30:44

phenotypes. These are behaviors that are

30:46

being measured that people call autism

30:48

spectrum disorder. And so the diagnostic

30:50

criteria falls under a set of screening

30:52

and behavioral tests that go on. And you

30:55

know, one of the things

30:57

>> there there's a survey, there's an

30:58

observation, and there's a bunch of

30:59

things.

31:00

>> Is it like a score? Is it a score?

31:01

>> Yeah. So it's there's a scoring system.

31:03

Exactly. And so then there's different

31:05

levels.

31:05

>> What did you and Sak score?

31:07

>> Yeah. Where are you guys? Cuz we could

31:08

we could bet. Hold on before you tell

31:10

us. Chimath and I are going to bet on

31:11

it. I'm going to say that Sax over by 16

31:15

points.

31:16

>> Make it over under

31:17

>> over under. I think these guys are

31:19

>> Well, what's who's got who's highest on

31:21

the spectrum?

31:22

>> Well, Sachs may have gotten in the 90th

31:24

percentile.

31:24

>> He's definitely in the 90th framework of

31:26

the

31:27

>> We need a poly market. We need a What

31:29

did Reaper get on the market?

31:32

>> By by the way, just to go back on the

31:34

acetaminophen study, it's

31:36

>> so great.

31:36

>> Oh, look. There's the emotional

31:37

detachment. Go ahead. Go ahead.

31:39

>> No reaction. You and I are laughing.

31:41

Well, I mean, I I I'm making an active

31:43

choice not to engage. Um, but uh the uh

31:46

>> I am making an active choice to repress

31:48

my emotions.

31:50

>> One thing to note and and one of the

31:51

controversies about all of this, the

31:53

paper that was published by this guy

31:55

Bakarelli from I don't know if I'm

31:57

pronouncing his name right, from

31:58

Harvard. It's actually been challenged

32:00

because in 2023 he was called as an

32:02

expert witness in a lawsuit against the

32:04

maker of Tylenol. And in that lawsuit,

32:06

the judge throughout his testimony is

32:08

unreliable because he was being paid

32:11

$150,000

32:13

uh to give the uh the expert testimony

32:15

to work on the case. And so because of

32:17

the payment,

32:18

>> what side was he on?

32:19

>> So this is the guy who published the

32:20

paper that linked that showed an

32:23

increase

32:23

>> on the expert testimony. Was he pro

32:25

Tylenol or

32:27

>> anti Tylenol? So he was he was an expert

32:29

witness for the lawyers that were filing

32:32

the claim against Tylenol. I will say in

32:34

the last couple of days since this press

32:36

conference he has publicly said that we

32:38

are not yet certain or sure about the

32:40

link and I want to remind everyone that

32:42

this association study indicates an

32:45

increased risk but that doesn't mean

32:47

that if you take Tylenol your child is

32:48

going to have autism that doesn't mean

32:50

that there's a determinism here there is

32:52

a statistical chance that there is a

32:54

slight increase and the more

32:55

acetaminophen you take the more the

32:58

chance and that's what the papers show

32:59

let me let me take let let me take the

33:01

other side of this

33:02

>> here's what we No, we know for sure that

33:06

there is this potential autoimmune issue

33:10

that you as the mother can express as an

33:13

antibbody. There's an antibbody test for

33:15

it. We also know that the child can be

33:18

tested for it. So, at a minimum, we're

33:21

now at a point where we can create a

33:24

very thorough well-funded study to get

33:28

to the core of this issue. separately.

33:32

To the extent that you do test positive,

33:34

there will be some doctors and some

33:36

parents that may decide to take lucarin

33:39

prophylactically

33:41

and then also to administer it to the

33:43

child before it's clear whether they do

33:45

or do not have autism. I have several

33:48

friends who have kids on the spectrum. I

33:51

talked to them about luccoin. What they

33:53

say is that when you have extreme

33:54

autism, the drug is very effective.

33:58

But when you have kids that are more

33:59

sort of mild on the spectrum, then

34:02

there's a lot of benefit from behavioral

34:05

modifications and behavioral training

34:06

and that it's not clear how effective

34:09

that drug is. But in in one specific

34:11

case, one of my friends is considering

34:12

it for their child. Here's the point

34:14

though. I think the point is that we

34:15

need to test for this. And I think that

34:17

some combination of governments and

34:18

industry should come together.

34:21

Beyond that, the point that I want to

34:23

make though is and I think Freeberg, I

34:26

don't think you're adding to the

34:28

conversation when you say that there's

34:29

no determinism because on the off chance

34:31

that there is, I would say that we don't

34:33

know yet. When you see women taking

34:35

acetaminophen

34:37

in this performative art way, basically

34:41

to like try to like pone Donald Trump

34:44

and it's all over Tik Tok and it's all

34:46

over X. I just think it's reckless and I

34:48

think it solves nothing. you're supposed

34:50

to go talk to your doctor about it in

34:52

all weather conditions anyways, but then

34:55

when you transform it into some sort of

34:57

like protest vote without really

34:59

knowing, I think is really dumb.

35:01

>> Yeah. And this this test by the way,

35:02

Chimath, I'll say this folate receptor

35:04

anti auto antibbody, there has been a

35:06

test available, I think since 2012. This

35:08

has been around for some time. In fact,

35:11

>> cancer patients take this test, of

35:12

course, because

35:13

>> and there was a there was a paper

35:14

published on this. I'm trying to find

35:16

this paper. I I'm not sure how much

35:18

follow-up there's been. This was a Sunni

35:20

paper where these guys went and found

35:24

folks that were scored very high on the

35:26

autism spectrum disorder diagnostic test

35:28

and they found a high prevalence over

35:30

70% had this folate receptor auto

35:33

antibbody. This was one paper so I want

35:35

to I don't want to give it like a ton of

35:37

credence. There's a lot of follow-up

35:38

that's happened since then and I'm not

35:39

an expert in this space, but I did kind

35:41

of do some research on what the history

35:44

is of this and so this is a very

35:45

well-known kind of correlative effect

35:47

and it could be a very big contributor

35:49

but obviously like no one should feel

35:51

like hey if I don't have auto antibodies

35:54

then my kid is fine that doesn't

35:56

necessarily mean the case again there

35:58

may be several paths to autism and the

36:00

thing about acetaminophen just like hey

36:01

have a drink or smoke a cigarette the

36:03

more you do the higher the risk this is

36:05

the case with with anything we put in

36:07

our body. And I think that's the point

36:09

about like what they've identified in

36:10

the in the paper that was published

36:12

regarding acetaminophen. And so there's

36:15

still a lot to be kind of determined on

36:17

how they're going to provide guidance to

36:18

women that are pregnant on do you have a

36:20

fever, do you take it for pain, what's

36:22

the right criteria, we all agree

36:25

medicating yourself to make a political

36:26

point is

36:28

>> hilarious. What are we do that is

36:31

absolutely absolutely happy this is true

36:33

or it's stupid. Yeah,

36:37

>> I think for his next trick, President

36:39

Trump should warn people not to snort

36:40

rat poison.

36:41

>> Yes. Also not a good idea.

36:44

>> Somebody was tweeting, "Next, President

36:45

Trump's going to recommend not using uh

36:47

toasters while you're in the bathtub."

36:50

>> Yeah.

36:50

>> Just to see what people do.

36:53

>> My fellow Americans, in light of recent

36:55

studies, I wanted to warn against the

36:57

use of toasters in your bathtub or your

37:01

shower.

37:02

>> Don't do it. Don't put the toaster in

37:04

the

37:05

>> You know, people are gonna do it if he

37:06

tells them not to.

37:07

>> Exactly. Exact. I mean, I have such an

37:09

inappropriate joke right now. I'm not

37:11

going to say it.

37:11

>> Let's take Freedber's math when I saw

37:13

that and you think maybe there's a 0.05%

37:17

chance. Well, guess what? If you stack

37:20

that up and it actually turns out to be

37:21

true across the thousands of women that

37:23

then performatively did this

37:25

idiotically, you could actually have an

37:28

extra kid or two with autism that didn't

37:30

need to have it. What what is going on

37:32

in America?

37:34

>> Well, look, I think there there were a

37:36

lot of people who instantly had a snarky

37:40

reaction because it was Trump and Bobby

37:43

Kennedy making these claims about

37:45

Tylenol and the media played into that.

37:48

And look, I don't know what the truth of

37:49

it is, but there are

37:51

>> even Tylenol tells you to not take it.

37:53

They say call your doctor.

37:54

>> Yeah, exactly. There are

37:55

>> How stupid are these people? There are

37:57

plenty of articles establishing this

38:00

risk. There's a paper from John's

38:02

Hopkins from 2019 called taking Tylenol

38:05

during pregnancy associated with

38:07

elevator risk for autism and ADHD.

38:10

>> Pull this up. This is to your point.

38:11

This is CNN's coverage on when these

38:13

acetaminophen studies came out

38:15

historically. And you can see that when

38:19

um it was announced at the Trump

38:21

conference yesterday, they said Trump

38:23

links autism to acetaminophen used

38:24

during pregnancy despite decades of

38:27

evidence it's safe. And then if you read

38:29

back, so this is 2017, 2016,

38:33

acetaminophen during pregnancy may

38:35

increase risk of hyperactivity. Studies

38:36

link acet.

38:38

>> So when Trump says it in the headline,

38:42

in that no in the headline they dismiss

38:43

it. But every other time, every other

38:46

time they've taken the paper and they've

38:47

published a news article on the paper

38:49

itself.

38:50

>> I just couldn't believe this. All this

38:51

like CNN. Yeah.

38:52

>> They ignore all their previous reporting

38:54

on the subject. I mean, that's that's

38:56

what's kind of crazy about it.

38:57

>> This super cut was hilarious. Check out

38:59

the uh this is the super cut of Trump

39:02

saying Tylenol. It was hilarious.

39:04

>> Don't take Tylenol. Don't take it with

39:07

Tylenol. Don't take it. Don't take it.

39:10

Don't use Tylenol. Don't take Tylenol.

39:12

Don't take Tylenol. Fight like hell not

39:15

to take it. I think you shouldn't take

39:17

it.

39:17

>> It's just hilarious how he presents

39:19

information. Just don't take Tylenol.

39:22

Don't take Tylenol. Great week for

39:23

Motrin, though. So, I heard sals are up

39:25

for that.

39:26

>> No, because it's also been established

39:27

for a very long time. You don't take

39:28

ibuprofen aspirin.

39:30

>> Yeah, you definitely don't think worse.

39:32

>> Ibuprofen is terrible if you're

39:34

pregnant.

39:34

>> So, wait a minute. Why why is it is it

39:36

specifically that this one mechanism of

39:38

action was completely inoculated and

39:40

every other mechanism of action for

39:42

things like pain relief and headaches

39:44

are known to be pretty bad for women and

39:47

babies? Come on guys.

39:49

>> Yeah. Uh Freeberg, explain to us the

39:51

disparity in different regions of the

39:54

world and autism. Would you think that's

39:57

the surveys and maybe people in the

39:59

United States are a little more Again,

40:02

I'm not an expert in this stuff. Jal, I

40:04

I can opine on kind of what I've read

40:06

and I've done some studying, but think

40:08

about my like level of knowledge being

40:11

in the range of hours compared to yours,

40:13

which I Yeah, but I would say

40:15

>> I'm a complete expert on this because

40:16

I've watched all seasons of Love on the

40:19

Spectrum

40:20

>> and I love that show. Have you seen

40:22

that? Love on the Spectrum.

40:24

>> What is it? Oh, watch it with Nat. It's

40:28

She'll love it. It's great. I do agree

40:30

with the general notion that we have a

40:31

cumulative uh effect. Like many studies

40:34

that are done, by the way, are very

40:36

organized around short duration, high

40:38

exposure when it relates to novel

40:41

molecules in the environment and how

40:42

they're and how we're exposed to them.

40:44

>> Yeah. the cumulative long-term effect of

40:46

these things as we learned recently with

40:48

respect to like the amount of

40:49

microplastics and the endocrine

40:50

disrupting nature of microplastics where

40:53

they can actually bind to specific

40:55

receptors and as a result block the

40:57

expression or binding of other proteins

40:59

which can have a systemic kind of effect

41:01

on you. We didn't realize that until

41:04

recently after we've been making

41:06

plastics for 70 years. And then we

41:08

didn't realize these plastics were

41:09

breaking down and cumulatively kind of,

41:11

you know, growing in our environment, in

41:13

our water supply, as a result in our

41:16

food, in our balls, in our brains, in

41:18

our hearts. And so what are these

41:20

molecules doing as they accumulate in

41:23

our body? And that's now needs to be

41:24

studied and understood. And then we have

41:25

this big challenging industrial question

41:27

of what do we do about it? But that's

41:29

true for nearly every novel molecule

41:31

we've developed over the past hundred

41:33

years on Earth. Some of them, by the

41:35

way, we could make the case. We can show

41:36

deterministically they break down. They

41:38

don't persist. They're fine. And then

41:39

some of them we could say like, look,

41:41

there's a cumulative effect as more of

41:43

these molecules enter our body and some

41:45

of them stay in our body. they over time

41:47

increase the probability of things like

41:49

DNA breaks resulting in cancer or things

41:52

like endocrine disruption resulting in

41:54

metabolic effects or things like we

41:56

might be seeing now with folate receptor

41:58

auto antibbody presentations that drive

42:00

autism spectrum disorder. So, I think

42:02

that there's a lot to be said generally

42:06

speaking about the cumulative effect

42:08

about a lot of the stuff we put in our

42:09

environment. And as much as I could

42:11

disagree with things that Bobby Kennedy

42:13

might say, I can tell you asking these

42:15

questions is critically important. As

42:17

scientists, we have to constantly

42:18

interrogate and this cannot be just a

42:20

political point. I'm not like going to

42:22

sit here and say I agree with the

42:23

statements that might be made by the

42:25

president when he says never take copen.

42:27

I think it's a little more nuanced than

42:28

that, frankly. But I do think that the

42:30

idea that we should be asking the

42:31

questions and interrogating for answers

42:33

is very very important. And so

42:35

>> I think that's an important takeaway

42:37

because if you talk to people who have

42:39

been impacted by this and people in the

42:41

community, the reaction was we're glad

42:44

we're getting a lot of attention. Yeah,

42:45

that was a weird press conference on the

42:47

margins, but we're glad that this is a

42:49

focus now. And I think people are also

42:51

glad about vaccines. Again, I don't

42:53

think we should be banning vaccines, but

42:54

but I do like the idea that we're

42:56

questioning all these things and we're

42:57

not just giving the medical industrial

42:59

complex a complete pass on this and that

43:01

we're spending money and investing in

43:03

it. So, let's go on to our next story

43:06

around censorship. How much money do you

43:08

think is spent in the USA annually on

43:10

autism?

43:12

>> Gosh, do you think it's enough to fund a

43:14

longitudinal

43:17

trial?

43:18

Yeah, I mean that's I I don't have the

43:21

data to know and then I guess you would

43:23

on a societal basis you would be

43:25

thinking is there a better use of

43:26

capital, right? We but we're a rich

43:28

country. We have the ability to fund

43:29

some of this stuff and there's private

43:30

companies who

43:31

>> well

43:33

too, right?

43:33

>> I bet you we're wasting money in all

43:36

kinds of random places where finding a

43:38

few billion dollars to run this trial is

43:40

a good thing.

43:41

>> Yeah, that totally makes sense. All

43:42

right, we've got a lot of news in the

43:45

censorship space. So, this is this week

43:47

in censorship. So much to talk about.

43:49

First story up. Jimmy Kimmel is back on

43:52

the air. Earlier this week, Disney

43:54

announced that ABC would resume airing

43:56

Kimmel show. And I think that was

43:58

Tuesday night. Disney explained why they

44:02

suspended Kimmel last week to avoid

44:04

further inflaming a tense situation at

44:06

an emotional moment for our country. And

44:08

they called Kimmel's comments illtimed

44:11

and thus insensitive. He came back and

44:14

had a massive amount of reach,

44:18

but Nexar and Sinclair's affiliates,

44:21

they decided to not air it. And that was

44:23

60% of the market. So interesting. Poly

44:26

Market had Jimmy Kimmy Kimmel canled by

44:30

September 30th. It was nearly 80% after

44:32

Kimmel was suspended last week, but

44:34

that's plummeted to 1% since then.

44:38

Was quite emotional. I'm I'm guessing

44:40

everybody watched it and I did not. I

44:43

did not watch it.

44:43

>> Oh, you didn't watch it. Okay. Well,

44:44

we'll play a clip here. It was I felt

44:47

heartfelt and Yeah, it was incredibly

44:49

heartfelt and deaf in terms of its

44:51

execution. It was sincere. And here it

44:53

is.

44:54

>> I don't think what I have to say is

44:55

going to make much of a difference. If

44:56

you like me, you like me. If you don't,

44:58

you don't. I have no illusions about

44:59

changing anyone's mind. But I do want to

45:01

make something clear because it's

45:02

important to me as a human. And that is,

45:05

you understand that it was never my

45:07

intention to make light of the murder of

45:10

a young man. I I don't

45:16

I don't think there's anything funny

45:18

about it. I I posted a message on

45:20

Instagram on the day he was killed

45:22

sending love to his family and asking

45:24

for compassion and I meant it and I

45:25

still do. Uh nor was it my intention to

45:28

blame any specific group for the actions

45:31

of what it was obviously a deeply

45:33

disturbed individual. That was really

45:35

the opposite of the point I was trying

45:37

to make. But I understand that to some

45:39

that felt either illtimed or unclear or

45:42

maybe both. And for those who think I

45:43

did uh point a finger. I get why you're

45:46

upset. If the situation was reversed,

45:48

there's a good chance I'd have felt the

45:50

same way. I have many friends and family

45:52

members on the other side who I love and

45:55

remain close to. Even though we don't

45:57

agree on politics at all, I don't think

46:00

the murderer who shot Charlie Kirk

46:02

represents anyone. This was a sick

46:04

person who believed violence was a

46:07

solution. And it isn't it ever.

46:11

>> Yeah. And he uh references later in this

46:14

apology

46:15

of sorts. I think it was pretty pretty

46:18

clear he was apologizing his own faith,

46:20

his Christianity, and um just how

46:22

beautiful it was that the widow of

46:24

Charlie Kirk had forgiven the shooter

46:27

and he got broken up about that as well.

46:29

He then went on to do a bunch of jokes

46:30

and have a normal show. It was massive

46:33

ratings. Obviously, everybody was tuned

46:34

into it and

46:36

>> we'll see. He didn't apologize. I didn't

46:37

hear an apology.

46:39

>> Um,

46:41

>> okay.

46:42

>> Did he apologize?

46:44

>> Do you know what that means?

46:46

>> In the English language.

46:48

>> My understanding, if you look at Twitter

46:50

and stuff, was that there was not

46:51

technically an apology.

46:53

>> Okay.

46:53

>> He didn't apologize and he didn't say

46:55

what he had done wrong. I guess what he

46:57

said is that I didn't mean to make light

46:59

of my situation.

47:00

>> Yeah. Wasn't my intent. Yeah.

47:02

>> It wasn't his intent.

47:03

>> An explanation more than an apology.

47:05

Okay. Nobody was accusing him of making

47:07

light of the murder. What he did and

47:10

what people were upset about is that he

47:13

lied and said that the shooter was MAGA

47:16

and he did not hit the nail on the head

47:18

in terms of addressing that and he's

47:19

being called out for that. Now look, I

47:22

still think that his statement there,

47:24

let's call it an apology, was

47:26

constructive and positive because at

47:28

least he is showing empathy towards the

47:32

other side. He obviously feels bad for

47:36

Erica Kirk and for Charlie Kirk and in

47:40

the current overheated political

47:42

environment is expressing empathy for

47:46

the other side is a positive statement

47:49

and I think he definitely brought the

47:50

temperature down and I think later in

47:53

the statement he also makes an important

47:54

point about he says you know just

47:57

selfishly I have threats on me and what

48:01

he's basically saying is look we don't

48:03

want to get into a civil war here. We

48:05

don't want to get into a cycle of tit

48:08

fortat retaliation. Let's not play

48:11

Hatfields and McCoys. This is my words.

48:13

He didn't say this, but that was sort of

48:14

the intimation of what he was saying.

48:16

And I think that is a good thing to say.

48:18

I mean, no one here should want a civil

48:21

war and this thing can go off the rails

48:23

really badly. So, look, I think that his

48:25

statements were positive and and and

48:28

welcome and they showed empathy for the

48:30

other side, but he did not fess up to

48:34

what he really did wrong here, which was

48:36

to claim that the shooter was MAGA. That

48:39

was the thing that was deeply offensive.

48:41

>> Yeah.

48:42

>> And hold on. And and the reason why he

48:44

did that is he was not the only one

48:46

doing it. In the early days of this

48:48

shooting, of this assassination, it was

48:51

a talking point on the left that this

48:54

shooter could be right-wing. And the

48:56

reason why people on the left were

48:58

saying that is it was exculpatory. It

49:01

was basically to put the blame on the

49:03

other side instead of looking in the

49:04

mirror and hopping to the fact that

49:07

there is this rise of left-wing

49:09

political violence and assassination

49:11

culture. As we demonstrated on the pod

49:13

last week by looking at all the data and

49:15

all the numbers, there really is this

49:17

poisonous ideology

49:19

that is on the left, and yes, there's

49:22

some of it on the right, but way more of

49:24

it on the left, that political violence

49:26

can be used to solve problems. And the

49:28

left really does need to look in the

49:30

mirror and rid itself of that ideology.

49:33

And by not admitting that this assassin

49:36

was motivated by that ideology, they are

49:40

ignoring that opportunity for

49:41

self-reflection and for progress.

49:43

>> That last part is important. I think the

49:45

point is that when you say that somebody

49:47

is mentally deranged, what most normal

49:50

people do is then say, "Oh, it was an

49:52

aberration. It was an outlier." And I

49:55

think that that is a dangerous way to

49:57

try to sweep under the rug

50:01

what is something that's more virulent

50:03

and is increasingly acceptable in

50:05

society.

50:06

>> This guy might have been crazy in the

50:08

sense that he was willing to use murder

50:11

to achieve his objectives. I think we

50:12

can all say on some level that's crazy.

50:15

It doesn't mean he wasn't animated by an

50:17

ideology that lots of people believe.

50:20

And I think the proof of this was the

50:22

celebratory reaction to the

50:24

assassination of Charlie Kirk. You saw

50:26

it on Tik Tok. You saw it on Blue Sky.

50:29

You saw it on the corners of social

50:31

media. You definitely saw it on Reddit

50:32

where you had thousands, maybe hundreds

50:35

of thousands of people celebrating the

50:36

death of Charlie Kirk and basically

50:39

buying into this idea of political

50:41

violence as the solution to their

50:44

problem and to the idea that it was

50:47

acceptable to use violence against

50:48

people they hated. And so again, this is

50:51

the problem with the random nut theory

50:53

is that it really ignores all the

50:56

evidence we have about the larger

50:58

reaction to the Charlie Kirk

51:01

assassination. And this is a thing that

51:03

the left really doesn't want to

51:04

confront. It does not want to look in

51:06

the mirror here and say that we have a

51:08

problem on the left with this

51:10

assassination culture. And we talked

51:12

about this last week. And if you look at

51:14

polling, they just did polling around

51:16

this and there's still millions of

51:17

people on the left who believe that the

51:19

shooter was MAGA. And Jimmy Kimmel

51:22

helped foster that belief with this

51:25

disinformation that he put out there.

51:28

And he really should have hit the nail

51:29

on the head in terms of saying that he

51:31

got that wrong, that it was wrong to say

51:34

that. And he he could have been a little

51:35

bit clear about that. I'm not dismissing

51:37

the positive things he said because I do

51:39

think it was good for him to show that.

51:42

I mean, I'm gonna give him credit for

51:43

getting emotional. I know I know a lot

51:45

of people on the right think that it

51:46

wasn't sincere. I think that it probably

51:48

was sincere. I'm going to give him

51:50

credit for that. I think his comments

51:51

were constructive, but he did not

51:54

apologize for the thing he actually did

51:56

wrong. And in fact, he just replaced

51:58

that original lie with a new form of

52:02

left-wing spin, which was the random nut

52:04

theory.

52:05

>> And I think, yeah, let me stop there.

52:07

But the but the point is that really we

52:09

need to come to grips with the fact that

52:12

there is this toxic political ideology

52:15

now that's mostly on the left that does

52:17

need to be confronted.

52:18

>> I'm going to go ahead and say, you know,

52:20

we we should clean up a little bit here

52:22

or I'm going to clean up. He should

52:25

have, I think, made it clear that this

52:27

wasn't a MAGA person, but I'm just going

52:29

to repeat the quote. We hit some new

52:31

lows over the weekend with the MAGA gang

52:33

desperately trying to characterize this

52:35

kid who murdered Charlie Kirk as

52:37

anything other than one of them in doing

52:39

everything they can to score political

52:41

points from it. Now, he should have said

52:43

that turned out not to be true. It was

52:45

actually a liberal and I think it was

52:48

not that he said the guy was MAGA. He

52:50

said people were speculating he was

52:52

MAGA. That actually was true. So, just

52:55

to be clear here, he never said the

52:57

person was MAGA. Wait, who was

52:58

speculating? The the bag bag of people

53:01

were speculating. Hold on. Charlie

53:03

Kirk's fans, his loved ones, his

53:05

co-workers weren't speculating about

53:07

this. It was people on the left. Hold

53:09

on. People on the left of which Jimmy

53:11

Kimmel was one were trying to plant the

53:14

story

53:15

>> that this assassin could be MAGA.

53:18

>> Well, I mean, this is done deliberately.

53:20

Hold on. That was done deliberately as

53:22

disinformation to take the blame off of

53:25

the political ideology.

53:26

>> Yeah. I don't I don't think anybody No.

53:28

>> And the culture of political

53:29

assassination that's been rising on the

53:32

left.

53:32

>> Okay. So, over that weekend, there was

53:34

definitive speculation that this might

53:36

be a Groper, one of Nick Quentis' fans.

53:38

There was also significant speculation.

53:41

And this is why people shouldn't

53:42

speculate in a breaking news environment

53:44

because you'll frequently get it wrong.

53:46

And people had gotten it wrong because

53:48

they assumed that this individual was

53:50

MAGA because his parents were. And then

53:53

when it turned out it wasn't true,

53:56

that's when the record got corrected.

53:59

But this was one of these instances

54:01

where people actually were speculating

54:04

and they were wrong. And that's why you

54:06

should always wait in a breaking news

54:08

environment.

54:08

>> Well, you're using a lot of passive

54:10

tense in order to avoid who said what.

54:14

>> How so?

54:15

>> You said there was a lot of speculation.

54:17

No, there was

54:18

>> talking about social media speculation.

54:19

There was an effort to create a

54:20

narrative, a false narrative that

54:23

somehow

54:24

MAGA was to blame for this. And Jimmy

54:27

Kimmel was one of the leading people who

54:29

did that. We covered last week

54:33

the rundown, the timeline of what was

54:35

known at the time that Jimmy Kimmel said

54:37

that. And Megan Kelly did an excellent

54:40

job summarizing everything we knew. We

54:42

knew what was written on the bullet

54:43

casings. We knew what the parents had

54:44

said. We knew what the friends had said.

54:46

Megan's tweet on this is very

54:48

exhaustive. So, you're acting like there

54:50

was a legitimate basis for Jimmy to say

54:52

what he said and there wasn't. And I

54:54

don't know why you're covering for him

54:55

right now.

54:55

>> No, no, no. I'm not covering for

54:56

anybody. I'm clarifying a factual error.

54:58

He did not say the person was Magnet. He

55:00

said there was speculation that weekend,

55:02

which that weekend there was speculation

55:04

that this was a Groper and that the

55:06

family was Maggie. And I'm just

55:09

>> on social media everybody was

55:11

speculating about this. That's and I

55:13

think the the problem here is that we're

55:15

saying that the left wants to

55:18

assassinate people. The left has

55:20

assassination culture. I know many

55:21

people on the left, I don't know

55:23

anybody, I haven't talked to a single

55:25

person on the left who is in favor of

55:28

what happened or in any way supports it.

55:30

And it's quite the opposite. Every

55:32

single person I know on the left, every

55:34

single person, you know, who is a

55:36

high-profile person on the left, with

55:38

the exception of maybe one or two really

55:41

dark people,

55:43

they have all said that this is horrible

55:46

and tragic and there is no place in

55:48

civil society for violence. So, I'm

55:50

trying to actually balance this down and

55:53

say this wasn't the left. This is not

55:56

the left strategy. The strategy does not

55:58

want to murder people. That that is

56:00

absolutely false. And the left is not

56:02

pro assassination culture. All the

56:05

leadership on the left,

56:06

>> you certainly changed your tune because

56:08

last week we showed you plenty of data

56:11

showing that there was three times as

56:12

many people on the left who are

56:15

celebrating or endorsing political

56:18

violence. You didn't object to that

56:21

then. You didn't show me data on the

56:23

opposite. You're just saying that no one

56:25

you know Well, I'm glad that no one you

56:27

know is celebrating political murder.

56:29

The only person I and the only leader I

56:32

saw was Ilhan Omar who was just saying

56:35

like Charlie Kirk's got a terrible

56:37

legacy etc. like inappropriate comments

56:39

there obviously but every other person

56:41

uniformly condemn this. Now I know

56:43

there's tons of surveys out there and I

56:45

think if we're going to talk about

56:46

political violence the right also has a

56:48

political violence problem and that they

56:51

need to do. We saw on January 6th MAGA

56:54

and all of these people beat police

56:56

officers and destroy the capital. That

56:58

is also political violence. It's not an

57:00

assassination. It's obviously distinctly

57:02

different, but they were beating cops.

57:05

Okay? And the price they paid for that

57:08

was they were all given pardons for

57:11

beating police officers. Okay? So there

57:14

needs to be better leadership from the

57:15

Democrats and the right on this. And

57:18

everybody needs to calm this down and

57:20

say this is not acceptable. Whether

57:23

you're beating cops up on January 6th,

57:25

assassinating somebody, threatening

57:27

people to that they have to fight, this

57:30

is all terrible. Everybody has to calm

57:32

everything down. And that's an example

57:34

I'm trying to make here on this program

57:36

is to have productive dialogue even

57:38

though we disagree about things. Every

57:40

person I know who's on the left, every

57:42

person I know was absolutely believes

57:45

this is abhorrent and they would never

57:47

condone it. Period. Full stop. and every

57:50

leader with the exception of like one or

57:52

two people who I don't understand why

57:54

they would ever criticize, you know, a

57:56

Christian who was murdered in cold

57:57

blood. I I'm sorry. It's that's totally

57:59

unacceptable.

58:01

But anyway, that's my position on it.

58:03

>> Look, I understand this is a heated

58:04

issue. Let me just make one final point.

58:06

I I know that both sides have their

58:08

quote unquote nut cases, violent

58:10

extremists who engage in horrific crimes

58:13

and they should all be denounced

58:15

equally. The difference here that I

58:17

think we saw with the Charlie Kirk

58:19

assassination is that you saw thousands,

58:22

maybe even upwards of a hundred thousand

58:25

people on the left on social media

58:27

rejoice and celebrate his assassination

58:31

or downplay it and minimize it on the

58:33

grounds that somehow he deserved it for

58:35

the things he said. And I just have to

58:38

say I don't think we've seen that

58:39

behavior before on the part of the

58:41

right. whenever there's been some

58:43

horrific crime. I don't remember anyone

58:46

on the right ever celebrating that. It

58:48

was not something that was mainstream

58:49

discourse by any means. I certainly do

58:52

not see thousands of videos and Reddit

58:55

posts celebrating that. And I think what

58:57

you see in the polling data is that yes,

59:01

there are some people on the right who

59:02

feel that political violence is

59:04

acceptable or solution, but that number

59:06

is three times greater on the left. I'm

59:08

glad Jal doesn't know any of those

59:10

people. That's reassuring, but

59:11

nonetheless, it's there in large amounts

59:13

of data. And I think that we need to

59:16

address that problem without minimizing

59:18

it or both sidesing it or else we're

59:20

never going to make progress as a

59:21

country.

59:22

>> Okay, Jal and Chimoth both had to run.

59:24

We started late today and we ran a

59:26

little bit too long for both of them.

59:28

Sax and I are going to wrap it up with a

59:29

quick conversation on AI. Saxs, I don't

59:32

know if you saw, but there were two

59:33

papers that were published this week,

59:35

each of which on their own, I would say,

59:36

were were pretty kind of important. I'll

59:39

highlight the first one and Nick if you

59:43

could just pull this first one up. This

59:44

is the MIT paper. So this paper is

59:46

called teaching LLMs to plan and

59:50

effectively what this uh team did and

59:52

again they were out of MIT in

59:54

collaboration with a scientist at

59:56

Microsoft AI in Mountain View. They

60:00

basically created an instruction tuning

60:02

framework that teaches LLM to do

60:05

symbolic planning which basically means

60:08

that the LLM think about step by step or

60:10

chain of thought in a smarter way by

60:14

making them generate explicit state

60:17

action state chains and then they

60:20

trained that model by giving them

60:23

feedback

60:24

with an external plan validator which is

60:27

effectively going to be a human or or a

60:29

software tool that says, did this series

60:31

of steps make sense to do the thing

60:33

you're trying to do? If not, here's what

60:36

you did wrong, here's what you should

60:37

have done better. And they were able to

60:39

achieve planning accuracy of up to 94%

60:43

on some standardized benchmarks that are

60:45

used for chain of thought, reasoning,

60:47

and planning using LLMs. This is a 66%

60:52

absolute improvement over baseline

60:54

models. And so this is pretty

60:56

substantial. They took Llama 3 and they

60:58

were able to increase the performance

60:59

from 1% to 64%. The outcome of this

61:03

basically is that this sort of a system

61:05

can be used to train LLMs to do better

61:08

reasoning and better chain of thought in

61:10

such a dramatic way that LLMs will look

61:13

like they are starting to reason. And so

61:15

by training them effectively on the

61:17

steps in planning on how to reason, the

61:20

LLM get better at looking like they're

61:22

doing reasoning using this kind of

61:24

symbolic planning method that they then

61:26

built a tuning framework around. That

61:28

sounded a little bit complicated, but I

61:29

think ultimately what it translates to

61:31

is they figured out a method to get AI

61:34

to act in a more reasoned way in

61:36

developing step-by-step plans and

61:38

execute against those plans. And the

61:40

results and the benchmarks are

61:41

incredible. So this was a big

61:43

breakthrough I would say this week.

61:44

Sachs, I don't know if you spent any

61:45

time looking at this paper from MIT or

61:47

talked with your team about it.

61:48

>> I haven't seen it, but what what exactly

61:49

is the symbolic framework they're

61:51

talking about exact you know what

61:53

exactly is that that I mean I understand

61:55

chain of thought but what is it that

61:57

that improves accuracy?

61:59

>> There's an old language called PDDDL or

62:02

planning domain definition language.

62:05

PDDL is kind of a uh an attempt to

62:08

standardize AI planning languages. So

62:11

it's been around for a long time. I

62:13

think it's been around since like the

62:14

late 90s and it's effectively a series

62:17

of symbols that define planning. What

62:20

they were then doing is basically using

62:22

PDDL

62:24

to try and set a series of steps that

62:26

the LLM would use to reason and get to

62:29

an answer on doing a task or or running

62:32

an action. And then they tuned the PDDDL

62:35

using this tuning framework that they

62:37

developed, giving it feedback. And then

62:38

they also fed it good plans and bad

62:40

plans and said this is a good plan, this

62:42

is a bad plan. And so overall the LLM

62:44

was then run in such a way that it

62:47

actually had a better set of steps that

62:49

it would use to solve a particular

62:51

problem. And so this can then lead to

62:53

all of the underlying machinery of an

62:55

LLM being better utilized to solve a

62:57

bigger problem to solve kind of a a

62:59

chain of thought or to solve some

63:01

reasoning problem that requires several

63:03

steps or planning. I think it was a very

63:05

good breakthrough. The benchmark data

63:07

that they shared was pretty impressive

63:10

and it's getting quite a bit of

63:11

attention this week. That was one I

63:12

think really interesting paper that came

63:15

out this week. The other one and Nick

63:17

maybe you can pull this one up. So this

63:19

one's really impressive sachs. This

63:22

comes from a team in Germany. This paper

63:24

was published in the journal Nature

63:26

Computational Science. These folks took

63:28

a GPU and for each token typically

63:31

you'll have the entire key value chain

63:35

transferred from high bandwidth memory

63:37

to cache memory. So this means that

63:39

you're moving a lot of data between one

63:42

type of memory and another type of

63:43

memory. And what they were able to do is

63:47

they were actually able to reduce the

63:50

physical memory size that's needed to

63:53

run the attention window. As a result,

63:55

the energy and the total token cost to

63:59

run inference went down significantly.

64:02

I'm trying to simplify this down as best

64:04

I can, but what matters is the the end

64:06

data that they provided. Their

64:08

architecture led to a speed up of 7,000x

64:12

compared to the Nvidia Jetson Nano, 300X

64:16

compared with Nvidia RTX 4090, and then

64:19

100x compared to the Nvidia H100. And

64:22

the energy was reduced by 40,000x

64:24

compared to Jetson Nano, 90,000x

64:26

compared to RDX490,

64:28

and a 70,000x

64:30

energy reduction for the same outcome

64:33

over an H100.

64:35

So I think that this mechanism, if it

64:38

scales, this new kind of technique can

64:41

have a pretty dramatic effect on the

64:43

energy consumption needed to run AI. And

64:47

importantly, because you need far less

64:49

memory, you can actually move a lot of

64:52

AI inference to the edge of the network.

64:54

Meaning you could put, for example, a

64:56

very high-owered LLM model that could be

64:59

run in a robot or in a piece of

65:01

equipment or in a computer or on your

65:03

phone that historically you'd need to

65:05

run in a data center because you needed

65:08

a very highowered GPU chip stack. And so

65:11

this architecture, I think, could be one

65:13

of these big architectural

65:15

breakthroughs. We've spoken with Sergey

65:17

Brin and Eric Schmidt and Sundar and

65:20

Demis about the big architectural

65:23

breakthroughs that are coming in AI that

65:26

could ultimately lead to many orders of

65:28

magnitude reduction in the energy cost

65:31

needed to run inference and to run AI

65:33

models. Again, if this scales, then all

65:35

of our assumptions about the data

65:39

center, about the energy can start to

65:42

kind of be thought about under this new

65:44

kind of architectural framework, which

65:46

might actually result in much much lower

65:48

need states. We'll see. But it was a

65:50

really, I think, important paper and

65:51

folks are going to look up this paper

65:52

and say this could be a pivot point in

65:55

how we think about the energy and

65:57

infrastructure needs to support AI. I

65:58

don't know if you and your team have

65:59

reviewed it, but it's definitely worth

66:01

spending some time on. Yeah, look, I

66:02

think the writing was on the wall that

66:05

models are going to get smaller and

66:09

smaller and more efficient to the point

66:11

where they can run on the edge on local

66:14

devices. I mean, that was one of the

66:16

implications of Deep Seek. But if you

66:19

look more recently at I think the launch

66:21

of Llama 4, their smallest model, I

66:24

think it's called Scout,

66:26

>> runs on a single GPU,

66:28

>> right? So, I think we're going to have a

66:32

whole range of smart devices that will

66:35

have a single GPU running a pretty

66:37

decent AI model. And I mean, obviously,

66:40

your phone will have one too, probably a

66:43

much better one.

66:44

>> Have you and your team talked about like

66:46

what the energy demand curve looks like

66:48

as these better architectures? Like, if

66:49

we're talking about 10,000x reduction in

66:51

energy to run a token, have you guys

66:54

thought about well, you know, does

66:55

energy scale as we've projected it to

66:57

scale? Does data center need scale like

66:58

we've projected it to? Or do you think

67:00

that because they're more efficient,

67:01

we'll actually have more demand?

67:03

>> That just sounds a little too good to be

67:04

true right now,

67:05

>> right?

67:06

>> As between papers and products, I pay a

67:09

lot of attention to the launch of

67:10

products and I don't pay a lot of

67:11

attention to papers,

67:13

>> right?

67:13

>> I know that some papers end up being

67:16

really important. For example, the paper

67:19

on the transformer architecture back in

67:21

2017 turned out to be enormously

67:23

important. But I think that a lot of

67:26

papers just don't really go anywhere for

67:28

whatever reason. Maybe they're hard to

67:29

reproduce or they don't scale or what

67:31

have you. So I just don't really pay

67:33

that much attention to the academic

67:34

literature. I do pay a lot of attention

67:36

to product launches. And when someone

67:37

launches something

67:39

>> revolutionary, then it immediately gets

67:41

everyone's attention because you don't

67:43

have to speculate about whether a proof

67:45

of concept is going to be possible or

67:46

not. You actually see it. I guess what

67:48

I'm saying is that the proof of the

67:50

pudding is in the eating,

67:52

>> right? I think we're going to need a lot

67:53

more power, a lot more electricity. I

67:56

think that's pretty well known. We

67:58

haven't even gotten to the robot

67:59

revolution yet. That's coming in the

68:01

next 5 years. That's going to be energy

68:03

intensive. So,

68:04

>> if this thing's even close to being

68:05

correct, then you could run the most

68:09

kind of sophisticated LLMs in a robot

68:13

without it needing to be run out of a

68:15

data center going forward. And the

68:18

robots can simply make a request for

68:20

information from the internet that they

68:21

need. But all of the actual computation,

68:24

the reasoning,

68:26

>> uh, all of the base knowledge would sit

68:28

locally in that device. It's really

68:30

incredible to think about. Like we are

68:31

going to end up with these like robots.

68:33

It's amazing.

68:34

>> Yeah.

68:35

>> Well, I think that's right. I mean, I

68:36

think that self-driving wouldn't work if

68:38

you had to run all the inference on the

68:41

cloud. I mean, it's run locally, right,

68:43

by powerful

68:45

>> AI chips.

68:47

And then obviously it can connect when

68:48

it needs to. But no, I I would expect

68:50

that robots are going to have a local AI

68:52

model.

68:53

>> Yeah. Okay, cool. Well, that's it. I

68:56

mean, those were the two papers I

68:58

thought were really pretty impressive

69:00

this week.

69:00

>> Hey, Freeberg, what exactly happened

69:02

with YouTube? Do you have an update on

69:04

what happened with our episodes from

69:06

Allins Summit that appear to be

69:09

>> shadowbanned? Yeah, tell us what

69:11

happened there.

69:11

>> Okay, so thank you to the folks at

69:13

YouTube. They actually worked all

69:14

weekend to help us figure out what

69:16

happened and there was nothing

69:17

nefarious. There was no shadow banning

69:19

going on. What happened was, you guys

69:20

may recall a couple of months ago, we

69:22

stopped bleeping out curse words in our

69:25

episodes and we muted them instead. And

69:27

when we muted them, the YouTube

69:29

algorithm still thought that we were

69:31

saying the curse word quietly and it

69:33

still showed up in the YouTube

69:35

transcript. When you have a curse word

69:37

in a video, YouTube marks it as

69:39

restricted. So, it's kind of not age

69:41

appropriate. And so, that's why it was

69:43

getting the restricted mark. When we

69:45

went back, the episodes that did get

69:46

restricted all had a curse word in them

69:49

and we understand clearly what happened.

69:50

So going forward, we are going to use

69:53

the bleeping again instead of just

69:54

muting. It was very benign, not

69:57

nefarious. YouTube did a great job

69:59

supporting us. We went back and fixed

70:00

all the old episodes, so they're all out

70:02

of restricted mode and we started

70:03

reposting all of our summit videos

70:05

again. So yeah, I mean, conspiracy

70:08

corner is closed on that one.

70:10

>> Well, hold on. Do creators know about

70:11

this that if you have fbombs in your

70:15

show that you go on to restricted mode?

70:18

>> You know, that's a great question.

70:19

There's no, and we were talking to the

70:21

YouTube product team about this. There's

70:22

no easy way for YouTube creators to see

70:25

that a video has been tagged as

70:28

restricted. And so, they need to fix

70:31

that. They're going to fix that. They

70:32

told us. And so, I think we should all

70:34

kind of continue to hold them to that

70:35

because it's important that creators

70:37

don't know why. One of the questions we

70:39

had for them which we thought was a

70:40

theory was if people report your video

70:45

does it automatically go into restricted

70:47

mode and the answer is no. So the

70:49

reporting triggers a review separately

70:51

but the restricted mode algorithm is

70:54

distinct.

70:55

But when it comes to this like

70:56

restricted mode being triggered you

70:59

don't know that it happened. You don't

71:00

get a notice. You're not aware of it.

71:02

And they need to address that.

71:03

Obviously,

71:04

>> they need to have like a dashboard that

71:06

shows you any kind of restriction on

71:08

your videos and a reason code for why.

71:11

>> That's right. And specific timestamps

71:13

cuz they their engineers were able to

71:14

pull it up for us, look at the

71:16

timestamps, point us to them, and we

71:18

could see what happened. That should be

71:19

apparent like they should present that

71:21

to the creators. They know why they got

71:22

restricted. I think part of the argument

71:24

was like, well, restricted mode in

71:25

YouTube isn't a big deal. It turns out

71:27

it is a big deal. We saw it in our

71:29

traffic. We had big drop off because a

71:31

lot of network administrators, so the

71:33

people that run the Wi-Fi at Starbucks

71:35

or on your public bus and subway or in

71:38

your, you know, office, they have a

71:41

network setting that's called safe mode.

71:43

And safe mode was originally designed to

71:45

block porn or other not safe for work

71:47

content at work. But it also triggers

71:50

the restricted mode being blocked on

71:52

YouTube. And so if you're in one of

71:54

those public networks and you're trying

71:56

to access YouTube and you're in a

71:57

restricted video, you lose that entire

71:59

audience. So it turns out I think it

72:00

actually is a bigger deal than folks

72:02

realize that videos are getting tagged

72:04

as restricted mode. At least I think it

72:05

is

72:06

>> and they should do a better job kind of

72:08

surfacing things and then people should

72:09

be able to go back in creators and

72:12

correct any issues that might be causing

72:13

that to be restricted. But I don't feel

72:15

like the policy itself was bad. I think

72:17

there was an algorithm problem where

72:19

their software didn't pick up that we

72:22

had muted bad words and it was more

72:24

apparent previously when we bleeped

72:26

them. So, we're going to go back to

72:27

bleeping until they

72:30

>> was there any weaponized reporting of

72:32

content or we just don't think that was

72:34

a thing.

72:35

>> No, we know that to not be true. We

72:36

checked that. I checked that at the high

72:38

level and the answer is no. And I think

72:40

we feel very good about that. There's no

72:42

like mechanism either that if people do

72:44

blast reporting or they try and you know

72:47

as we used to joke Brigadeun

72:49

it doesn't actually trigger anything.

72:51

So,

72:52

>> got it. And speaking of YouTube, there

72:54

was a really important report out this

72:58

week where I think we kind of knew this,

73:00

but YouTube acknowledged that during the

73:03

Biden administration, I think this was

73:04

like roughly 2019 or 2022, that time

73:08

frame, that they censored, I think

73:12

something like a million videos at the

73:14

behest of the Biden administration. I

73:16

guess that would have started in 2021.

73:19

and they admitted that they were

73:21

pressured by the administration.

73:23

Zuckerberg had said the same thing about

73:24

Meta and the Twitter files informed us

73:27

about the same thing. But now YouTube

73:29

has finally acknowledged that and

73:31

there's a big release on that.

73:32

>> I'll tell you my view on this. I think

73:34

that the censorship that happened during

73:36

that era is very important to have

73:39

happened because it has brought a light

73:42

to it in a way that now there's a hyper

73:44

sensitivity to it not happening again.

73:47

And I actually think that that's very

73:48

good. So the fact that it happened has

73:51

now created a real sense that going

73:53

forward the policy limits, the

73:56

boundaries are now more clear than they

73:58

ever were. It's not just about the Trump

74:00

admin, which I think a lot of mainstream

74:02

media tries to make it about, but it

74:03

really is about the importance of free

74:05

speech and and and censorship and who

74:08

decides what's objective truth or not. I

74:09

mean, going back to all of the COVID era

74:11

discussions, not allowing people to have

74:13

discussions clearly is a problem. And

74:16

and speaking of this topic, I don't know

74:18

if you saw this, but there is this kind

74:20

of hate speech bill that passed out of

74:23

the Assembly and the Senate in

74:24

California that's now on Gavin Newsome's

74:26

desk to sign, which basically would fine

74:29

social networks that allow content to

74:32

show up on their social network that the

74:34

state of California deems to be hate

74:36

speech. And so whatever language or

74:38

terms the state of California calls hate

74:41

speech, and you could see how this could

74:42

become a very slippery slope very fast,

74:44

they can now find a social media company

74:46

millions of dollars, which in and of

74:48

itself could actually propagate a whole

74:50

new censorship regime where people that

74:52

are using certain terms that in that era

74:55

are considered bad terms or hate speech

74:57

terms, they're afraid that they don't

74:59

want to get fined tens of millions of

75:01

dollars. So they block all that content.

75:03

And I do think that if this gets signed

75:05

by Governor Nuome, it could trigger a

75:08

whole new kind of censorship battle in

75:11

the months and years ahead. We'll see.

75:12

>> Well, I think that's exactly right. I

75:14

think the bill you're referring to is

75:15

SB771,

75:17

and it is an EU style suppression of

75:20

quote unquote hate speech on social

75:22

networks. The problem is that there is

75:24

no definition of hate speech. That's not

75:26

a category that exists. It's just

75:29

whatever the people in power say it is.

75:31

>> That's right. And so there is no

75:33

constitutional exception for hate speech

75:37

under the first amendment.

75:38

>> They reference in the bill, the

75:39

California bill, because I read it,

75:41

civil rights statutes which speak to

75:45

certain types of discrimination, certain

75:47

types of hate speech, but the to your

75:50

point, those words are not defined. And

75:53

so what ends up happening is you could

75:55

say, well, using that word is

75:57

discriminatory to this group in some

75:59

way, or using that word is hateful

76:01

because it offends another group. And

76:04

suddenly you start to blur the line

76:05

between what the average person might

76:08

call hate speech and what perhaps some

76:10

people in an administrative body are

76:12

calling hate speech. And suddenly it

76:14

becomes more like, hey, is this really a

76:17

civil rights violation or is it just

76:19

offensive content? And it's a very

76:21

slippery slope that offensive content

76:23

suddenly can get wrapped up and be

76:25

called hate speech. And then the

76:27

government starts to tell us all what we

76:28

are and aren't allowed to see say. And

76:30

we're obviously seeing the repercussions

76:32

of that in the UK right now where the

76:34

police are knocking down doors to arrest

76:36

people for um putting stuff on on

76:39

Twitter. The direction I thought you

76:41

were going in a minute ago was that it

76:42

it sounded like you were saying that

76:45

it's good that we've learned all these

76:47

lessons from this COVID period where

76:50

YouTube and

76:52

>> Yeah. And I I think that's exactly

76:54

right. I don't see any evidence that the

76:57

I'd say especially the political left

76:59

has learned its lesson. You got Gavin

77:01

Newsome now trying to ban hate speech in

77:03

California. By the way, he also signed

77:06

that bill was it like a year ago

77:09

banning parody. Remember that parody

77:12

videos?

77:13

>> I do remember that.

77:14

>> Yeah.

77:15

>> Political AI. It was like political AI

77:17

videos.

77:17

>> Yeah.

77:18

>> Yeah.

77:18

>> Because it was in the wake of the of a

77:20

humorous fake advertisement for Kla

77:22

Harris. Then you've got these folks who

77:26

on the left are already saying that

77:28

Sinclair and Nexttel need to be punished

77:32

for not putting Jimmy Kimmel back on the

77:35

air. So in other words, the same people

77:36

who are saying a week ago that the Trump

77:39

administration jaw boned ABC Disney that

77:43

that was fascism, but if they jawbone

77:45

next to Sinclair, that's democracy. I

77:47

mean, it's completely hypocritical. I'm

77:49

not convinced anyone's learned a lesson

77:51

from this. And just to be clear, I don't

77:53

think Jimmy Kimmel should be taken off

77:55

the air or censored or whatever. I'm

77:57

pretty sure that his show is not going

77:59

to be back next year because it's got

78:01

such low ratings. I don't think there's

78:03

really a need to censor him. It is true

78:05

that there is a public interest

78:07

requirement for using public spectrum,

78:10

but nobody seems to agree anymore on on

78:12

what's in the public interest. So,

78:14

>> I completely agree with what you said

78:15

last time. We just got to auction off

78:16

that spectrum. I don't think we don't

78:18

need that spectrum. We have the thing

78:19

called the internet now. And so we no

78:21

longer need broadcast television. And

78:22

there there shouldn't be a government

78:24

regulated,

78:26

>> right,

78:27

>> broadcast television system where

78:29

they're deciding what is and isn't

78:30

appropriate content and in the public

78:32

interest. That just doesn't make sense

78:33

for the government to do in a market

78:36

that's supposed to fully support free

78:39

speech.

78:40

>> Yes.

78:40

>> And I agree. I agree. I think I think

78:41

the Jimmy Kimmel issue should be up to

78:43

the people that are spending their money

78:45

to put Jimmy Kimmel on the air and they

78:46

can decide what they want to do with,

78:48

you know, if no one watches it, they'll

78:50

take him off. And if people watch it,

78:51

they'll keep him on. That's that's their

78:53

decision. We shouldn't, you know, I

78:55

don't think that it makes sense to quote

78:57

cancel or ban someone for saying

78:59

something that's offensive. And I think

79:01

that if you do it on uh one side,

79:03

eventually it'll happen on the other

79:04

side. That but that's a triedand-true

79:06

point in free speech advocacy,

79:08

obviously.

79:10

>> Yeah. I mean, look, you could definitely

79:11

argue that throughout history, both the

79:13

right and the left have sought to censor

79:16

inconvenient speech when they've been in

79:18

power. But again, I just think this is

79:20

one of those issues where just because

79:23

both sides have done it throughout

79:24

history doesn't mean that in the present

79:27

day one side isn't a lot more guilty of

79:30

it than the other. And you see this with

79:34

whether it's Scott Weiner and Elizabeth

79:36

Warren jaw boning Sinclair and next to

79:39

keep Jimmy Kimmel on the air or whether

79:40

it's Gavin Newsome possibly signing this

79:42

bill to ban hate speech in California.

79:45

>> Well, do you think he'll sign it?

79:46

>> I don't know

79:47

>> if he does not sign it. If he vetos it,

79:49

will you give him credit?

79:50

>> Yeah, for sure. That would be a good

79:52

sign.

79:53

>> Yeah. Like when he vetoed that AI bill,

79:55

I thought that was fantastic and I give

79:57

him a lot of credit for that.

79:58

>> Yeah. I think he's look he's not a

80:00

completely unreasonable person and

80:02

there's points when when he he realizes

80:04

things have crossed the line.

80:06

>> Yeah.

80:06

>> Which by the way is scary because then I

80:07

think about who's the next governor. You

80:09

know these things pass out of the Senate

80:11

in the assembly and he's the only thing

80:13

standing in the way. Scary

80:16

>> Gavin Newsome isn't even the craziest

80:18

person on the left. I think we can all

80:19

agree on that.

80:22

>> Yeah.

80:23

>> I'm not a fan, but there are way crazier

80:26

people. But let's see. I I suspect he

80:27

will sign it. Mhm.

80:28

>> Because I think the left very much likes

80:30

this sort of thing. You see it in

80:32

Europe. You saw it in the Twitter files.

80:34

See it in these acknowledgements that

80:37

YouTube has just made. You see it in

80:39

what Zuckerberg told Rogan about the

80:43

censorship that Meta was pressured to

80:45

do. I think there is a clamoring on the

80:47

part of the left to silence speech that

80:49

they don't agree with. And they do call

80:50

it hate speech. It's speech they hate.

80:52

and um the right in a fit of peak when

80:55

they're angry about the assassination of

80:56

one of their heroes, are they capable of

80:59

saying that Jimmy Kimmel should be taken

81:01

off the air? Yeah. But is that something

81:03

that's been broadly acted upon on the

81:04

part of the right? No, it's not. The

81:06

left is the one that's engaged in

81:08

massive amounts of speech suppression

81:10

over the last few years. It's not a both

81:12

sides problem. Uh so I hope I hope News

81:15

will veto that bill, but let's see what

81:16

happens.

81:17

>> I hope he vetos it. I think it would be

81:18

an incredible statement if he did, but

81:21

if he doesn't, I could see why this

81:22

creates effectively a free option for

81:25

him, for the Democrats, for whoever is

81:27

in charge

81:29

with administering California statute,

81:33

giving themselves basically a free

81:35

option on whether or not to enforce it

81:36

and how to enforce it. It creates a

81:38

mechanism, and I don't I just don't like

81:39

that mechanism existing, obviously. But

81:41

I could see how a system in power can

81:44

find this to be a good mechanism for

81:46

maintaining power and influence or at

81:48

least influence over speech.

81:50

>> I think Newsome's going to have to sign

81:52

it into law cuz it's what his base wants

81:54

and he intends on running for president

81:57

in a few years and it's not just the

81:59

California base. It's the overall base

82:00

of the Democrat party. I don't think

82:02

he's going to want to risk alienating

82:03

them. And even if he harbors some

82:05

qualms, which I'm not sure he does, he

82:08

probably realizes he's got the Supreme

82:10

Court to back him up in the sense that

82:12

they're probably going to find this

82:13

unconstitutional, they're going to throw

82:15

it out. But he can still send a message

82:17

to the left that he's with them, that he

82:19

wants to suppress conservative speech

82:22

just like they do. So, I suspect he'll

82:24

sign it.

82:25

>> Well, we'll see. All right. Thanks

82:26

everyone. Sachs, have a good drive

82:28

wherever you're going. Thank you guys

82:30

for joining us. Sorry we lost our other

82:32

besties. This has been your favorite

82:34

podcast, the All-In podcast.

82:38

I am your closing host, Dave Freedberg,

82:40

joined by David Saxs. Goodbye to

82:42

Chimoth, Poly Hoatia, and Jcal. We'll

82:45

miss you guys.

82:46

>> Bye-bye.

82:49

>> Let your winners ride.

82:52

[Music]

82:56

>> We open sourced it to the fans and

82:58

they've just gone crazy with it. Love

83:00

you.

83:01

>> Queen of

83:04

[Music]

83:09

>> besties are

83:12

my dog taking a notice in your driveway.

83:17

>> Oh man, my dasher will meet me at We

83:20

should all just get a room and just have

83:21

one big huge orgy cuz they're all just

83:23

useless. It's like this like sexual

83:24

tension that they just need to release

83:26

somehow.

83:29

Wet your feet.

83:33

>> We need to get merch.

83:36

[Music]

83:42

>> I'm going all in.

Interactive Summary

The podcast hosts discuss the Trump administration's new $100,000 fee for H-1B visa applications, debating its potential to reduce abuse by IT outsourcing firms and prioritize high-skilled talent. They also examine the reported rise in autism, investigating environmental factors, specifically potential links to acetaminophen use during pregnancy and folate receptor issues. Finally, the group addresses current censorship concerns, including Jimmy Kimmel's recent show suspension, the implications of new legislation targeting hate speech, and the technical challenges surrounding YouTube content restrictions.

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