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AI Psychosis, America's Broken Social Fabric, Trump Takes Over DC Police, Is VC Broken?

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AI Psychosis, America's Broken Social Fabric, Trump Takes Over DC Police, Is VC Broken?

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2684 segments

0:00

Where you at, Jama?

0:01

>> Look at those cabinets. I know exactly

0:02

where he is.

0:04

>> I'm here.

0:04

>> I can tell by the cabinets.

0:05

>> We'll beep that out.

0:06

>> Tomorrow I leave for

0:08

>> and then I come home a week from Friday.

0:10

>> So that means you're going to be leaving

0:12

this week. So it's open next week. So

0:16

>> I think you're about to get a house

0:17

guest.

0:18

>> Wait a second. The house is open. I like

0:21

late season.

0:22

>> Ko Kalin's about to make an appearance.

0:23

>> I mean Ko Kalin's about to bless the

0:25

host.

0:26

>> Oh, I'm going to bless that house. You

0:27

can be sure. I'm going for a little

0:29

Indian summer on the Italian.

0:32

[Music]

0:34

>> Let your winners ride.

0:37

[Music]

0:42

>> We open source it to the fans and

0:43

they've just gone crazy with it. Love

0:45

you.

0:47

[Music]

0:49

>> All right, everybody. Welcome back to

0:51

the number one podcast in the world, the

0:54

AllIn podcast. were back and you got

0:57

your original crew. Some people were

1:00

wondering, are people losing their

1:01

commitment to excellence? Are people out

1:04

gallivanting? Would we ever see the core

1:07

four back? August 14th. We're taping.

1:10

You'll be listening on August 15th. But

1:12

gentlemen, we're back. How are you

1:13

doing, Chimath? You look well rested.

1:16

>> The Core Four.

1:17

>> The Core Four.

1:18

>> That's new.

1:18

>> Who could ask for anything more?

1:20

>> Would you say that the Core Four could

1:22

be fantastic?

1:25

>> I think On their best days, I would say

1:27

they are exceptional. Perhaps even

1:30

tipping into fantastic. Did you see it

1:32

yet, Sax?

1:33

>> Yeah,

1:34

>> it's pretty great. I think they did a

1:35

great job. Yeah,

1:37

>> it's it's like one of those weird, you

1:40

know, superhero groups that it's like a

1:42

real throwback and I don't think a lot

1:44

of people get the aesthetic or what

1:45

they're trying to do there, but I I

1:46

think you're going to love it. Freeberg,

1:48

you didn't see it yet. Fantastic 4.

1:49

>> No,

1:50

>> you're going to love it for the science.

1:51

It's It's really got like a real

1:53

throwback to the ' 50s60s science kind

1:56

of aesthetic. Wrapping up summer months

1:59

here. In a couple of weeks, we'll be in

2:01

LA for the All-In Summit. Couple of

2:03

tickets still available.

2:04

Allin.com/events

2:07

or yada yada yada for the Jcal discount.

2:10

Freeberg, how's your summer going? You

2:12

doing okay over there, buddy? You showed

2:13

up last week.

2:15

>> I show up.

2:16

>> You showed up last week. No weeks off

2:17

for you. had a beautiful mountain bike

2:19

ride yesterday with Xander. We ended up

2:22

>> Oh, how nice. going on for quite a

2:24

while. Having a birthday dinner with

2:26

Jason tonight. Happy birthday.

2:28

>> Happy birthday, Jason.

2:29

>> Happy birthday to Jason I mean,

2:32

>> what a privilege for us to play with a

2:34

professional poker player so regularly

2:36

like Jason in the home game. We've

2:39

always wanted to. We've been playing

2:40

this home game for two decades and we

2:42

never had a pro there. We never had

2:44

somebody who truly had achieved

2:46

excellence in the field and so it's like

2:48

getting to be on the court with like

2:49

Michael Jordan or something. It's like a

2:51

real thrill for

2:52

>> Phil Helited too. Yeah. Did Phil get a

2:56

second with him or an autograph?

2:58

>> Cut it out. Phil's going to get mad.

2:59

>> Oh no. We're going to have to do another

3:01

apology. Do another apology letter. Do

3:03

the apology now. JL do the

3:05

>> I'll just do a pre-apper

3:16

Saxy Poo. How are you? Are are you uh a

3:19

little rest and um a little rest and

3:21

relaxation for you?

3:22

>> Yeah, we just got back from Diego's

3:24

birthday party in the UK.

3:26

>> Oh, very nice.

3:27

>> One of those destination birthdays.

3:30

>> I mean, so many of those things. Oh,

3:33

God. You know, it's like three of summer

3:35

retirement parties. John Herring's

3:38

having a retirement party. I don't know

3:39

what kind of flex that is. The kid's

3:41

like 31 years old. He's like, "Ah, I got

3:43

into SpaceX. I retired." I was like,

3:45

"I'm an Uber. I'm still working."

3:48

What are you going to do for the next 60

3:50

years? Our lifespans are going double.

3:53

You got to keep busy, folks. All right.

3:55

Listen,

3:56

what a stacked lineup we have. Oh my

3:59

god. Alex Karp from Palenteer's coming.

4:01

You got Alex Karp?

4:03

Yes,

4:03

>> Freeberg. I like that guy.

4:05

>> Did you get any of the people on my

4:06

list?

4:07

>> You had some good names at the last

4:08

minute. Yeah, thanks for coming in 8

4:10

days.

4:10

>> When we send you notes months and months

4:12

in advance of the summit, when we

4:14

actually invite people and plan the

4:15

event and you don't respond, we move

4:17

forward. And then 8 days before the

4:19

event, you're like, "Oh, here's my list

4:20

of who I'd like to invite to the summit.

4:22

Can you guys figure out how to get them

4:24

there?"

4:24

>> Oh, YouTube CEO Neil um is coming.

4:28

That's great. Neil Mo. Get his name,

4:31

just so you know.

4:32

>> I was looking up his name. I know his

4:34

name's Neil, but I didn't know his last

4:35

name. Neil Mo. Oh, and oh, look at that.

4:36

Energy Secretary Chris Wright is back

4:38

for round two with Jal. I love it. What

4:41

a great lineup.

4:43

All right, let's get started, folks. I

4:45

think the story of the week is this AI

4:48

psychosis. This is a crazy story. People

4:51

call it chat GPT psychosis as well.

4:54

We'll get into that. But if you're an ex

4:55

user, you've seen this discussion over

4:57

and over again. It's called being

4:59

oneshotted. Okay, that's like uh you get

5:01

sniped in a video game or something.

5:03

People are starting to have delusions

5:07

that are being triggered by or enhanced

5:10

by AI chat bots. The core of the issue

5:12

seems to be that these chat bots, as you

5:14

know, are sickopantic. They confirm your

5:16

beliefs. They agree with you. They're

5:18

refusive in their praise. And it's so

5:20

believable that now people are starting

5:22

to believe they're in a relationship

5:24

with AI. Okay. And uh OpenAI saw this

5:28

becoming an issue and uh they made some

5:30

healthy use updates to chat GBT. It's no

5:33

longer going to tell you whether or not

5:35

to break up with your boyfriend, to

5:37

leave your spouse. It prompts you to

5:39

take a break after long sessions.

5:42

And they also admitted that their 40

5:44

model had been creating some of these

5:45

psychosis scenarios. quote, "There have

5:48

been instances where our 40 model fell

5:51

short in recognizing signs of delusion

5:54

or emotional dependency. Psychology

5:56

Today had a story uh just recently of

5:59

the emerging problem of AI psychosis.

6:01

Man, people are falling into romantic

6:03

relationships. They have godlike

6:04

delusions and a prominent investor, you

6:06

may have seen this, seems to be

6:08

undergoing some AI psychosis according

6:10

to people who may be near it. I'm not

6:12

going to say his name, but it's pretty

6:14

clear who it is. but he released a video

6:16

where he started talking about

6:17

recursion, all this crazy stuff. You may

6:19

have um even witnessed a little bit of

6:22

this when uh Travis was on the program a

6:24

couple weeks ago and he said he was like

6:25

spending his time on the fringes or the

6:28

edges of

6:31

>> physics. Yeah. And like hitting like it

6:34

really can take you down the rabbit

6:35

hole. There's a really interesting

6:38

subre.

6:38

>> Sorry. Are you saying Travis is

6:39

suffering from AI psychosis?

6:41

>> I'm saying we may need to do a health

6:42

check. We may need to do a health check

6:45

because smart people can get involved

6:47

with these AI. So, we may have to do a

6:50

um a little welfare check on our boy TK.

6:52

>> Can you just tee this up and hand it off

6:54

so that the rest of us can talk, please?

6:56

>> I'm about to do that. I'm about to do

6:58

that. Okay, Chimath, you seem to be

6:59

raring to go

7:02

with this AI psychosis issue. Go ahead,

7:05

enlighten us with your hot take.

7:09

>> Go ahead. I miss you, too. You're the

7:11

best.

7:12

>> You're the best. Hold on. Wait. My

7:13

phone's ringing.

7:14

>> Oh, great. Hey, listen, Andrew. I was

7:17

I'm going to send you a link to a Zoom

7:19

chat. I'm just hoping you

7:21

>> Yeah, make me an offer. Sure, I'm in.

7:24

Yeah, they just these idiots just paid

7:25

me $50 million to come join your podcast

7:27

and make it higher rated than yours.

7:29

Okay, great. Yeah. Okay, I'll see you on

7:30

your boat.

7:31

>> Like in the major leagues when like a

7:33

double trade happens.

7:35

>> So, we get Andrew Ross Sorcin and then

7:38

Gerser and Gurley get Calcanis. That

7:40

would be really interesting.

7:41

>> It's a three- team deal. It's a three-

7:43

team deal. You're also getting

7:44

>> Let us know in the comments if you would

7:45

like to see that trade.

7:50

>> Okay, Shimoff, you got any thoughts on

7:51

this? You seem to be raring to go on

7:53

this issue.

7:55

>> I don't really have much thoughts on

7:56

this AI psychosis issue per se, but I do

7:59

think that it's part of a bigger trend,

8:02

meaning these things aren't created

8:03

overnight and out of nowhere. I think

8:06

we've known for a while that

8:09

what is Scott Galloway calls it the

8:12

loneliness epidemic. Is that

8:15

>> which I tend to agree with. I mean I

8:16

think that there is a profound shift in

8:20

how young people connect with each other

8:24

and with the world at large. And I think

8:26

that they are becoming more isolated.

8:30

And I think the dangerous part of AI is

8:33

that it can replace whatever flimsy

8:36

connection that people have left to

8:39

their real world community. So if you

8:41

think about like how much influence

8:45

is shaped and generated in places like

8:47

Instagram by real people and then go to

8:51

the limit of a very useful AI that

8:53

replaces those people with fake people

8:56

and fake pictures you can't discern.

8:59

but they're willing to be responsive to

9:02

you and engage with you and talk with

9:03

you, on the one hand, it's incredibly

9:06

interesting. On the other hand, that

9:09

person is ultimately not real.

9:11

>> Yeah.

9:11

>> And so I think whatever it is that

9:14

people are going through right now, and

9:15

you can see it in all kinds of data,

9:17

right? You see it in marriage rates, you

9:20

see it in household formation rates, you

9:21

see it in childbearing rates. Something

9:24

is broken. It has been for a while in

9:27

society. I think all these tools have

9:28

exacerbated it and I think this is just

9:30

yet another step in that direction.

9:32

>> Freeberg, what's your take here?

9:34

>> Sorry, I apologize. I I'll say one more

9:36

thing. I was talking to somebody about

9:37

this and he mentioned it. He framed it

9:39

this way and I thought it was really

9:40

interesting. If you look at online

9:42

services, their primary mechanism of

9:44

action is via dopamine. And they're

9:47

trying to find mechanisms to trigger the

9:49

release of dopamine. And that's what

9:51

gives you that stimulative sensation,

9:53

right? But if you think about real world

9:56

relationships,

9:58

having a wife, having a long-term

10:00

girlfriend, those are fundamentally

10:02

about serotonin, not dopamine. The

10:04

dopamine wears off very quickly. And

10:06

what are you left with? You're left with

10:07

establishing a long-term structural

10:09

relationship with somebody and the ups

10:11

and downs of that. And it's not always

10:12

peachy keen. That's the same thing with

10:14

friends. And so I think the other thing

10:17

that's really interesting to note is

10:18

that we are sort of all in on dopamine,

10:22

dopamine, dopamine. And young people,

10:24

particularly the ones that are the most

10:25

susceptible to this, I'm going to guess,

10:27

have not had enough structural

10:29

interactions and the kinds of

10:30

relationships that actually create these

10:33

long-term serotonin-like behaviors so

10:35

that you can actually balance this stuff

10:37

out. And so, I suspect that this thing

10:39

is going to catch on like wildfire in

10:41

part because it's taking advantage of a

10:42

trend, I think.

10:43

>> Yeah, it's a it's a quick hit as opposed

10:45

to the long-term gain of of deep

10:47

friendship. Free, what are your

10:48

thoughts?

10:49

>> I was in the college dorms in 1996.

10:53

There was this woman who was in the room

10:54

next to me and she was on AOL and she

10:59

got stuck on AOL

11:01

like 24 hours a day. She failed out of

11:03

college. She was completely addicted to

11:05

it. She like disappeared into this

11:07

rabbit hole of doing imming with random

11:09

people online. It was the craziest

11:11

thing. I don't think that that chat is

11:14

necessarily revealing. I think it's just

11:16

at a much larger scale this challenge

11:18

with this psychosis where you get drawn

11:19

into these holes. There's a study by a

11:21

researcher called Julian Holt Lunat who

11:23

took 148 other studies, psychological

11:26

studies to identify the relationship

11:27

between social interaction and mortality

11:31

and strong social relationships

11:33

increased survival odds in humans by 50%

11:36

which is equivalent to quitting smoking

11:38

more impactful than obesity or

11:42

physical inactivity. I think that

11:44

there's a real struggle that people have

11:46

with loneliness

11:48

that

11:49

manifest in a bunch of different ways.

11:51

But psych studies have shown that some

11:52

of the key motivators for going online

11:55

to engage with social interaction

11:57

systems is self-expression, recognition,

12:00

curiosity, emotional regulation. You can

12:02

test ideas. You can engage cognitively

12:04

in ways that you can't or you don't have

12:06

access to in real life. So, there's a

12:08

whole lot of motivating factors for

12:09

people to go deep in social engagement

12:12

online. And there's never been an

12:13

infinite social engagement system until

12:16

I AI came along, these chat interfaces

12:18

came along, right?

12:19

>> So rather than have to go find someone

12:21

on the AOL im or find someone in a chat

12:23

group or find someone on a bulletin

12:25

board, you have this infinite

12:26

personality you can engage with. So I

12:29

actually asked chat GPT like this

12:31

morning,

12:32

>> would you be my friend? And it was like,

12:35

>> well, I think I think I think the

12:36

challenge is once you end up in these

12:37

deep rabbit holes with a chat interface,

12:40

there are things that happen with the

12:42

way LLMs operate that can drive you into

12:45

this warped reality because you're now

12:47

so fully engaged and fully captivated by

12:49

this reality with the chat interface,

12:51

but the chat is not a human. So, it

12:53

doesn't have the same wiring, the same

12:55

triggers as a human might have to

12:56

realize it's going down a a wrong place.

12:58

So when I asked chat GPT what drives

13:00

some of the psychotic breaks that happen

13:02

in in people that overuse chat and end

13:04

up in these deep rabbit holes number one

13:06

it said feedback loops in training or

13:08

operation. So if the AI is trained in

13:10

its own outputs without safeguards then

13:13

small inaccuracies in the training

13:15

system can actually compound and so over

13:17

time this causes responses that it says

13:20

spiral away from factual grounding

13:22

similar to a human stuck in a

13:24

self-reinforcing delusional loop. So

13:26

suddenly the AI becomes delusional and

13:28

you become delusional with it because

13:29

you get taken on it. And the second is

13:31

this product.

13:31

>> What is that called? Folly do is that

13:33

the um the term for the second Joker

13:35

movie where like the psychological

13:37

phenomena of two crazy people

13:38

reinforcing it and spiraling out of

13:40

control.

13:41

>> It may be but I think this is just like

13:42

the AI can take you on this journey on

13:44

like a one-sided basis because you as a

13:46

user just get you know the AI is

13:48

compounding away from reality. Crazy.

13:50

And the second is what's called context

13:52

poisoning where long conversations or

13:55

poorly controlled inputs in those

13:56

conversations can actually push the

13:58

model's internal representation away

14:00

from its starting state. And so this

14:02

causes like offtrack reasoning, but you

14:06

if you're deeply in it, you're 16 hours,

14:08

80 hours into a dialogue with the AI,

14:09

you go with it. And so I think that

14:11

these are these things that are causing

14:13

these breaks. But I don't think that the

14:14

motive for human social contact is new.

14:17

I don't think that digital interface is

14:19

new. But I do think that there are two

14:20

things that are new, which is the

14:21

infinite engagement you get with a chat

14:23

interface and second is the way that the

14:24

LLM operate that can actually cause

14:26

these breaks that take people with them.

14:28

And I have personally seen it. This is

14:30

not some like New York Times report.

14:32

I've actually personally seen it with

14:33

people I know that have got caught in

14:35

these loops that get broken mentally.

14:37

It's it's really sad and so it's

14:39

definitely an issue and I think they're

14:40

going to need to put safeguards. Sax,

14:41

you have any advice for these losers?

14:43

Um, and who are

14:46

creating relationships with their GBG?

14:49

Could you could you just break the um

14:52

ridiculousness of this, please, with

14:54

some sax wisdom?

14:56

>> Well, yeah. I mean, look, this whole

14:57

idea of AI psychosis, I think I've got

15:00

to call on the whole concept. I

15:02

mean, what are we talking about here?

15:03

People are doing too much research.

15:07

I mean, they're stuck in a loop doing 12

15:08

hours of research on on AI. Okay, look,

15:11

this feels just like the moral panic

15:12

that was created over social media, but

15:14

updated for AI. And the media is going

15:17

to love it because they're afraid that

15:19

AI is going to do to them on the

15:21

creative side, what social media did on

15:24

the distribution side, which is replace

15:25

them. So, the media is going to love

15:27

this concept and promote it. And then

15:29

the trial lawyers are going to love it

15:30

because it gives them a new basis for

15:31

suing all these companies. And then

15:33

there's going to be individuals out

15:34

there who are like, "Oh, I have that."

15:36

and they're going to glom on to this

15:38

message and you're going to see more and

15:39

more people claiming they have this

15:40

because it's gonna draw attention to

15:42

them. But the reality is that if you

15:45

look at that Time magazine story which

15:46

is trying to brand this concept of AI

15:50

psychosis, the game is given away by

15:53

this doctor who says, "I don't think

15:55

using a chatbot itself is likely to

15:58

induce psychosis if there's no other

16:00

genetic, social, or other risk factors

16:02

at play." This was Dr. Dr. John Taus, a

16:05

psychiatrist at Beth Israel Medical

16:07

Center. Okay. So, what he's saying there

16:09

is that if you don't already have a

16:13

predisposition to some psychosis and

16:15

you're not suffering from extreme

16:18

isolation or loneliness, then you're not

16:20

going to get this, right? So, in other

16:21

words, this is just a manifestation or

16:23

outlet for pre-existing problems. And I

16:27

I think it's fair to say that we're in

16:29

the midst of a me mental health crisis

16:31

in this country. But if you look at the

16:33

charts on this, it began long before

16:36

chat GPT kicked off the AI race at the

16:39

end of 2022 and you can see that the

16:41

mental health decline is affecting all

16:43

ages, but it's most acute among the

16:45

young. So Nick, if you could pull up

16:47

those FT charts, what you'll see is that

16:51

there's been a big drop in

16:52

conscientiousness among young people, a

16:55

big increase in neuroticism,

16:58

big decrease in

17:00

extraversion, for example. But where

17:02

this really took off was starting around

17:04

2020. So in other words,

17:06

>> happened then,

17:07

>> right? So correlating with COVID and the

17:09

lockdowns and that whole huge societal

17:12

disruption that we now want to kind of

17:14

forget and paper over. That's what seems

17:17

to have triggered a lot of these mental

17:20

health declines, which kind of makes

17:22

sense that if people couldn't go to

17:24

school for a couple of years and they

17:27

were in these lockdowns and it disrupted

17:30

social formation and the development of

17:33

young people, obviously that's going to

17:34

have a bigger impact. So, I think this

17:37

AI psychosis thing, it's going to get a

17:39

lot of play. The media is going to love

17:40

it. There's a lot of other groups that

17:42

are going to love it because they're

17:43

going to hope to profit from it in some

17:44

way. But ultimately, I think that it's

17:47

if the only thing that's happening is

17:48

that people are just going on chat bots

17:50

and researching to their heart's

17:51

content, it's probably a relatively

17:53

benign outlet for

17:56

pre-existing conditions that were there

17:58

in society.

17:59

>> Well, and you did mention the social

18:00

media psychosis. There's a lot of people

18:03

who have social media psychosis and they

18:05

spend 20, 30, 40, 50 Twitter posts a

18:09

day. And that's probably three of the

18:11

four of us here on this program uh who

18:14

are super engaged with that platform. It

18:16

may not be as much of a psychosis, but

18:19

it is an addiction. Sure.

18:20

>> Well, I think the whole moral panic over

18:22

social media was also overblown, but I I

18:24

do think that if you compare

18:26

>> and there was video games before that

18:28

and it was before that and you know on

18:31

>> violent movies before that and you know

18:33

there's always

18:36

rap lyrics.

18:37

>> Yeah.

18:38

>> Rap lyrics. Yeah.

18:39

>> Yeah. Or what was the the lyrics where

18:41

they were accused of being demonic?

18:42

Judas Priest.

18:43

>> Twisted Sister. Yeah. Judas Priest or

18:45

Twisted Sister.

18:45

>> Marilyn Manson. All of them. So there's

18:48

there's always something. But but I will

18:50

say

18:50

>> even the beat the Beatles were

18:51

outlandish and they were a threat to

18:53

societal fabrics back in the day. But

18:55

but even just comparing AI psychosis to

18:59

the moral panic over social media, I I

19:01

do think that it's probably undeniable

19:03

that social media has had an influence

19:05

on society because what happens is you

19:08

get on Instagram, people are posting

19:09

this best version of their lives. And so

19:13

it creates maybe a distorted sense of

19:15

reality and and people can sort of buy

19:18

into that. it gets that,

19:20

>> you know, and and there is something to

19:22

X being addictive and

19:25

>> and blue sky now and people spend too

19:27

much time on it, right?

19:28

>> Yeah. So, look, I'm not I'm not saying

19:29

that these things don't have any

19:31

negative consequences. I just think that

19:33

the panic about them is overblown. But

19:35

if you just compare this so-called AI

19:38

psychosis to the effects of social

19:40

media, again, I think it's relatively

19:42

benign because it's something that

19:43

people are doing to inform themselves

19:46

about things and they can go down rabbit

19:49

holes, but it doesn't really trigger

19:51

feelings of envy or inadequatess in the

19:54

same way that social media can. I think

19:56

>> it seems to be hitting like two groups

19:58

of people. It's the same group of people

19:59

who get catfished like lonely people who

20:01

are looking for a connection and then

20:03

it's like the conspiracy theorist

20:05

delusion of grandeur maybe they're like

20:08

on the borderline with mental illness

20:10

seem to be the two groups that are

20:11

getting sucked into this but it is

20:13

related you know you were talking about

20:15

the social fabric chimoth maybe in our

20:18

group chat earlier and you had some

20:20

thoughts on that and maybe we'll just

20:23

pivot into the the social fabric story.

20:26

So here, this went viral. Estimated

20:28

percentage of 30 year olds who are both

20:30

married and homeowners. So two of the

20:34

American dreams, dare I say, getting

20:35

married and starting a family, having

20:37

kids, and um in the 50s that was, you

20:41

know, half of 30 year olds already were

20:43

married and already had homes and now

20:46

we're down to 12%. There's a lot of

20:48

factors here, obviously, Chimoth, but

20:51

your thoughts generally on this. you

20:52

were

20:52

>> I sort of

20:53

>> I started to do some research on this

20:56

and

20:59

it's really sad actually what's

21:01

happening right now.

21:03

>> So I think if I had to kind of frame

21:05

this that chart that you showed is more

21:07

of the outcome and so you have to go all

21:10

the way back and try to explore what are

21:12

the potential root causes that causes

21:14

this kind of an outcome and there there

21:17

are a bunch of them.

21:20

I think one of the first ones that we

21:22

have to look at is what has happened to

21:24

young men. And I think what's happened

21:27

to young men is

21:30

a little concerning. So I don't think

21:32

it's our generation, but I do think if

21:34

you talk to people 30 and under, you

21:36

start to hear a consistent theme from

21:38

guys, which is one, it's they don't

21:41

really have the social skills to really

21:44

talk to girls. It starts with that. And

21:48

so what happens is they go to these

21:50

different outlets. They go to video

21:53

games.

21:55

They kind of communicate more online.

21:58

As a result, they tend to have brittle

22:01

or fragile emotional relationships and

22:03

social relationships. They don't date

22:05

the same way that they used to.

22:07

Then a lot of guys just feel like they

22:11

also don't want to get caught into being

22:14

perceived,

22:16

you know, post the me too movement in

22:18

any way, shape, or form as being

22:19

untowart. You take all of these factors

22:21

and you put it together and there's a

22:23

lot of guys that have just opted out and

22:26

they just kind of move in a direction of

22:28

parasocial relationships instead. Then I

22:31

started to look at like the the data on

22:33

porn usage. It's out of control. I had

22:35

no idea. But do you guys know what the

22:38

average age now of a porn watching

22:41

>> male is?

22:43

>> That's scary to think. The average age.

22:45

>> Yeah.

22:48

>> Would it be the average age of an

22:49

American man or does it skew younger? I

22:51

would assume skews younger.

22:52

>> It's gone. It's gone from 20 down to 16.

22:57

There are more than 50% of 12y old boys

23:00

now that watch porn.

23:02

>> I was shocked. I was like, "What are you

23:04

even talking about?" I was a teenager,

23:08

late teenager, I think, when I like I

23:09

mean, we had like you found a magazine

23:11

here or there, whatever.

23:12

>> They got a girly magazine. Yeah.

23:13

>> But can you imagine what it does to a

23:15

12-year-old boy when they start to get

23:17

instant gratification and you compound

23:19

that all through high school and they

23:22

don't have quote unquote what we would

23:24

call gain, right? The ability to just

23:26

talk and just kind of like carry on a

23:27

conversation. What do you think happens?

23:29

And then you go into the dating pool and

23:33

what are these dating sites optimized

23:34

for? These dating sites are optimized to

23:37

keep people there, not for you to find a

23:39

relationship and for you to churn,

23:41

right? And so the gamification and the

23:44

and the dynamics of those systems are

23:47

where many young men and women now look

23:50

to to find a relationship. And so you

23:53

have lonely young men that creates

23:57

lonely young women. a small cohort of

24:00

very eligible men and women that

24:02

everybody's chasing and fighting over.

24:04

Everybody else kind of left on the

24:05

sideline.

24:08

And so what do you think happens over 15

24:10

or 20 years of this activity? It's what

24:12

you see in this data. People aren't

24:15

coupling up. They're not having

24:16

long-term committed relationships. So

24:18

obviously as a byproduct, they're not

24:20

getting married more. Obviously, as a

24:22

byproduct of that, then you're not

24:23

combining two incomes. You're still with

24:25

one income. At the same time, Nick, I

24:28

just pulled this data. You can show it.

24:29

What has happened to the underlying

24:31

things that people would look to as

24:33

satisfying

24:35

markers of progress in life? A home, a

24:37

good education, those are way out of

24:39

reach, right? So, if you look at this

24:41

chart, the price to income ratio of a

24:43

home from 1980 to now has effectively

24:47

made it so that

24:49

you have to make an enormous amount of

24:51

money as a single individual to afford a

24:53

home today. M

24:55

>> and then if you only have a small

24:56

percentage of people actually getting

24:58

married and bringing two incomes

24:59

together, you see what you're seeing

25:01

today in that chart. So I don't know. I

25:03

think that we have a an issue in the

25:05

American fabric we need to figure out. I

25:07

don't exactly know what the solution is,

25:10

but it's taken me this long and maybe

25:12

this is what all these young people have

25:14

been screaming about and I have ignored.

25:16

So I apologize for not really

25:18

understanding the gravity of it. But I

25:21

think that this is a big problem and I

25:22

think we need to start talking about it

25:24

a lot more

25:25

>> and here's a manifestation of it. If you

25:27

look past year prevalence of major

25:29

depressive episodes US adults 2021

25:32

pretty recent data and that 18 to 25

25:35

spike look at that Shimoth and then 26

25:37

to 49 and then the older generations

25:40

maybe not having these massive

25:42

depression episodes. Frey any thoughts

25:44

on the American dream changing and young

25:48

men? Yeah, I think there's a lot of

25:50

conflated factors here. They can

25:53

certainly be related, but there's just a

25:55

lot to unpack in all that. I mean, I can

25:58

I can comment on the one piece. I I

26:00

think we talked a little bit about, you

26:02

know, getting lost online. I mentioned

26:05

when I was in college that year, 1996,

26:07

when that that woman got lost in AOL, we

26:10

had dialup internet. It was, you know, a

26:13

very different world where we're all

26:14

connected 24/7 on our phones. I'm sure

26:17

we all have average phone usage of 7

26:19

hours a day today. So, there's a lot

26:21

more rabbit holes to fall into that

26:24

reinforce this isolation. It doesn't

26:26

actually solve your isolation or

26:29

loneliness problem when you get stuck on

26:31

a phone or stuck on the internet. It

26:32

actually magnifies it, makes it worse

26:34

because you start to see all the things

26:35

you don't have and you start to feel

26:37

worse about yourself and that leads to

26:39

all of these kind of I would say

26:41

difficult social context that Simon's

26:43

talking about. With respect to

26:45

affordability, as you know, I think that

26:47

that's a distinct point which is related

26:50

to our expectation that the government

26:52

can and should always solve our problems

26:54

for us. And as a result, we created the

26:56

federal home loan program. Much like we

26:59

created the federal student loan

27:00

program, both of which I believe created

27:02

bubbles in those markets. We created

27:04

this concept that every American family

27:06

should be able to afford a home. And our

27:09

solution was to pump a bunch of money

27:10

into homes through the federal home loan

27:12

program. And that ultimately led to

27:15

bubbles of inaffordability for for

27:16

homes. If we really want to solve this

27:19

today, besides solving the government

27:22

spending problem and inflation problem

27:23

and dollar devaluation problem, which

27:25

obviously require cutting spending, I

27:28

think it's going to need to be some sort

27:29

of set of rules around making sure that

27:30

homes are not being bought up by

27:33

institutions. That that's one that I

27:34

think is going to be a pretty popular

27:36

point that's going to come up in the

27:37

next year or two, particularly in the

27:38

next election cycle. So, you know,

27:40

there's two sides to that to that one. I

27:42

think you you're kind of dancing around

27:44

the the issue there and I think it's

27:46

very real which is the financial piece

27:47

of this Freedberg boomers have just

27:50

absolutely this these couple of

27:52

generations if you look at the cost of

27:53

homes like you mentioned the cost of

27:55

education and then you just look at real

27:58

wage growth I don't know if I sent you a

27:59

chart Nick if you can take a look at

28:00

this you know the big problem in the

28:03

United States is wages have not grown

28:05

except for people who have a lot of

28:07

money already and so if you wanted to

28:10

start a family and you're in $100,000 in

28:12

debt for your student loans and homes

28:15

have double, triple, quadrupled in price

28:17

when compared to your income and we

28:19

don't have real wage growth. That's an

28:21

issue and I think this will become the

28:22

issue of the next election. We see

28:24

Mandami and the socialist movement we

28:26

talked about it last week. If you really

28:28

want to make a compelling argument for

28:30

the next election cycle, I think it's

28:31

real wage growth. And if you look at

28:34

something like minimum wage and this

28:36

disparity between what top earners make

28:39

and minimum wage, here's a chart of

28:41

where minimum wage is in the United

28:42

States versus other developed countries.

28:45

There is a real argument here even

28:47

though we might all be free market.

28:48

>> Well, there's a very different approach.

28:50

There's a very different approach to

28:51

higher education in literally all of

28:53

those countries except for ours.

28:56

>> It's affordable. Yeah.

28:57

>> Well, yeah. And and I think that we have

29:00

to call a spade paid. There was an

29:02

entire generation, if not two

29:03

generations of young men and women

29:06

younger than us, right? So, not in their

29:09

late 40s, early 50s who were told that

29:12

they must, not should, not it's nice to,

29:16

they must go to university. And these

29:19

folks took out an enormous amount of

29:22

financial support to do so. And part of

29:25

the underlying reason was that they were

29:27

told and it sounds very credible,

29:30

technology is coming and there's going

29:32

to be so much automation of all of the

29:35

other kinds of jobs that you may do in a

29:37

trade school. You should go to

29:38

university and protect yourself. Well,

29:41

lo and behold, it's turned out to be the

29:42

exact opposite. So, could you imagine

29:45

where, you know, you could have gone to

29:46

trade school, been an electrician, been

29:48

a plumber, build, done something,

29:50

welder,

29:51

made a couple hundred grand, married

29:53

somebody, you know, she does a good job.

29:56

Now, all of a sudden, she also makes

29:58

$150, $200,000 a year. You're making

30:00

$400,000 and you have no debt. That is

30:02

the key. You have no debt.

30:04

>> When you make 400K and have no debt, I'm

30:08

sorry, but that is probably actually

30:10

better than being the doctor making a

30:12

million bucks. And then there are all of

30:14

these other jobs that aren't a doctor

30:16

where you're still saddled with the

30:17

300,000 and you have no way of paying it

30:19

back. So I think that that's also a

30:21

really important issue that we have to

30:23

figure out at some point. There was a

30:24

framing of the issue for an entire

30:26

generation.

30:29

That was probably wrong. If I had to

30:31

bet, I would bet that engineers are more

30:33

likely to have their jobs replaced in

30:36

the short term than welders and

30:38

plumbers.

30:39

>> Okay, Saxs. I mean, we're talking here

30:41

just about the American dream. Is it

30:43

broken for these next generations, low

30:46

wages, high debt, no ability to buy a

30:49

home? And uh this came out of New York

30:52

this week. Pull up that chart. Slow

30:54

gains in jobs in New York City for the

30:56

first half of 2025. Feels like

30:59

something's happening here with jobs. We

31:01

talked to Vice President J. D. Vance

31:04

about this. He had some concerns about

31:06

uh jobs for recent grads. This is New

31:09

York City. Only about a thousand jobs

31:12

were added in the first half of this

31:13

year. Don't know if that's specific to

31:14

New York, but we had two months of uh

31:16

data revised where we we clearly have uh

31:20

some issues with jobs here and young

31:22

people are clearly having a problem

31:25

economically. They might be upside down.

31:27

What are your thoughts here? Sachs

31:30

>> possibly different things here. I'm not

31:32

sure how a specific data point around a

31:35

few months of jobs reports in New York

31:37

City is really relevant to a trend that

31:39

started in 1950. I mean, are we talking

31:42

about this? I mean, this is the chart

31:44

that went viral on X over the weekend

31:47

and a lot of a lot of people are

31:48

commenting on why this is, which is

31:50

starting in the 1950s, you had

31:53

about 50% of 30-year-olds were both

31:56

married and homeowners. And by the early

31:59

2020s, that number is about 10%. So

32:03

that's that's the big societal change

32:05

that's happened over especially the last

32:06

30 years. And the question is why? And I

32:10

think there's both economic factors and

32:13

social factors. And I think you guys

32:15

touched on some of the big economic

32:18

factors. I mean, one is the

32:19

affordability of housing, which I think

32:21

is mostly due to the fact that we're not

32:24

building enough. And that's due to the

32:25

fact that in large urban areas, I mean,

32:28

in these blue cities,

32:30

you can't build anything because the

32:32

cities have tied everything up in legal

32:33

and regulatory red tape. And that's the

32:36

whole point of Ezra Klein's book on

32:37

abundance is to try and get liberals to

32:40

change their point of view on that. So,

32:41

you've kind of got the affordability of

32:43

of housing and then you've also got the

32:45

college scam, which is you got these

32:48

kids graduating from college with, I

32:50

don't know, two $200,000 $300,000 of

32:52

debt because the cost of college has

32:55

skyrocketed over the last few decades,

32:56

which, you know, that was not true 30 or

32:59

40 years ago. You could get a decent

33:02

college education without graduating so

33:05

mired in debt that obviously there's no

33:06

way you're going to be able to buy a

33:07

house and start a family and that whole

33:09

thing. So I think there are these

33:11

important economic factors, but at the

33:13

same time there are a lot of these

33:14

social factors that you're talking

33:15

about. It it does seem like young men

33:20

are less self-sufficient. I mean, you've

33:24

got these data points around isolation

33:26

and loneliness, but you've also got

33:29

these data points around lack of

33:31

self-sufficiency. If you could put up

33:32

the FT charts where they talk about the

33:36

ability of of people to make plans and

33:39

follow through.

33:41

>> Exactly.

33:41

>> Look at this. I mean, so there's been a

33:43

big change among the 16 to 39 year olds

33:46

in their ability to make plans and

33:48

follow through, in their perseverance,

33:50

in how easily distracted they are, how

33:53

careless they are. And so I I do think

33:56

that there is there is a sense that

33:59

a lot of these young people just aren't

34:01

ready to be the head of a household, to

34:04

own their own homes, to start a family.

34:07

And I think there's some good questions

34:09

about why this is. And I wouldn't rule

34:11

out the effect of woke poison running

34:13

through the school system here for the

34:15

last 20 or 30 years. I mean, if you if

34:17

you raise white males since kindergarten

34:19

to believe that there's something wrong

34:21

with them. They're the evil group in

34:22

this morality tale of woke that's been

34:24

told,

34:25

>> they're going to internalize that in

34:27

some way and

34:29

>> maybe check out, maybe opt out.

34:31

>> I think I think it plays out in a lot of

34:32

different ways.

34:33

>> Yeah, they opt out.

34:33

>> But but I wouldn't I wouldn't rule that

34:35

out either. But it's hard to say

34:36

exactly. You know, look, I think that

34:37

Jamathy mentioned the online dating

34:39

sites. I mean I think there is something

34:40

to that where the dating sites have made

34:42

the dating market more efficient in a

34:45

way and more globalized but

34:46

>> but is that a good thing? I mean you

34:49

used to have a lot of hyper local dating

34:51

markets and maybe it was inefficient but

34:53

maybe that was more conducive to average

34:55

people hooking up whereas

34:57

>> I mean another thing remember think of

34:59

the number of people you guys know that

35:01

met either a long-term boyfriend or

35:04

girlfriend or a spouse at work.

35:07

>> Yep. But if you ask young people today,

35:09

is that even allowed? That is so

35:10

verboten. It is like so off the

35:14

>> it's not allowed. You're not allowed to

35:15

do any of that because of this latent

35:17

fear, as you said, of there could be an

35:20

accusation. How do I defend myself? And

35:22

so there's a there's a fear that has, I

35:25

think, seized a large part of our youth.

35:28

>> Yeah. What a great platform this is for

35:29

either party or a new party to pick up

35:32

just double the minimum wage, take out

35:34

all these regulations, build more homes,

35:36

and make a college affordable. Those

35:38

three things are such a winning

35:39

platform. Freeberg, you think that we

35:41

should What do you do with the mortgage

35:43

market? You

35:45

>> God, it's so difficult. I don't know.

35:47

>> Do you just basically privatize Freddy

35:49

and Fanny and let them underwrite?

35:51

>> I 100% think you got to privatize Freddy

35:53

and Fanny as a first step. And then you

35:56

have to stop underwriting student debt

35:57

so that you don't underwrite the

35:59

$200,000 degrees.

36:00

>> I believe 100% in ending the federal

36:02

student loan program. And I think that

36:04

it will force a restructuring of the of

36:06

the entire higher education system in

36:08

the United States, which no one wants to

36:09

hear, no one wants to do, and everyone's

36:11

against. But I think it is the only path

36:13

forward. We have the chancellor of UC

36:16

Berkeley and the president of Dartmouth

36:17

coming to the all-in summit to talk

36:19

about the future of higher education. I

36:21

think this is probably in my book one of

36:23

the top three most important issues we

36:25

should be discussing right now. We have

36:27

to get rid of the federal student loan

36:28

program and we have to force a right

36:31

sizing of uh higher education and a

36:33

restructuring of higher education such

36:35

that the access to education becomes

36:37

more ubiquitous. It's not this $300,000

36:40

debt load that everyone is forced to

36:41

take on. And it enables a more fair

36:44

market and a more free market where

36:46

people get what they pay for. And

36:48

ultimately people are going to have to

36:50

make decisions about what majors they're

36:52

getting and whether or not to pay for

36:53

these colleges

36:54

>> or whe at all to have a major social

36:58

have the social acceptability to to not

37:00

do that.

37:01

>> And and another tactical thing for is to

37:04

just this accreditation scam where only

37:06

certain people can give college degrees.

37:08

If you allowed, you know, entrepreneurs

37:11

to create schools like Joe Londale is

37:14

doing here. He had to buy an accredited

37:15

university to kind of back into it. But

37:17

if you asked a bunch of entrepreneurs,

37:18

hey, lower the cost of this degree from

37:20

250K to 50K, they would figure out a way

37:23

to do it. And it's already happening.

37:25

People are now using Chat GPT, using

37:28

online tools to get their education and

37:31

doing that around the existing system.

37:33

So, you know, life finds a way. These

37:35

young people are finding a way. They're

37:37

finding ways. I'll be honest, I really

37:39

like Trump's attack on Colombia,

37:42

UCLA, and Harvard

37:46

because I think that th those were these

37:49

sacred cows that were always left alone.

37:51

They were meant to be these signaling

37:53

mechanisms of

37:56

elitism and quality and future

37:58

prospects. And those institutions ran

38:00

totally a muck. Totally.

38:01

>> They started to do things that just made

38:03

absolutely no sense. to your point,

38:05

there was a a really good article, I

38:06

think it was in the Atlantic this

38:07

weekend about how the humanities

38:09

captured science. So, basically, these

38:12

universities get a large amount of their

38:13

federal funding by getting research

38:16

grants allocated to the university and

38:18

then they get an administrative topper

38:20

on top of the research grant.

38:21

Historically, at Harvard, that

38:22

administrative topper is 60%. So, if a

38:25

if a researcher gets a $3 million grant

38:27

at Harvard to work on cancer research,

38:31

$1.8 8 million of administrative fees

38:33

are paid to Harvard University.

38:34

Ridiculous.

38:35

>> So, a lot of the universities use those

38:37

fees to expand and grow out their

38:39

administrative staffing and also to

38:41

expand and grow out their humanities.

38:43

These aren't bad programs per se, but it

38:46

basically meant that the science funding

38:48

was being used to kind of create what

38:50

some people are now calling social

38:52

engineering that these universities been

38:53

engaged in over a several year period.

38:55

One of the other key questions about the

38:57

future of higher education is should

38:59

science and engineering

39:01

be coupled with the humanities from a

39:03

funding perspective or should those

39:05

institutions be

39:06

>> Peter Teal has a very funny saying about

39:08

this which is anytime you have a a

39:10

concept that you want to fund that has

39:12

the word science after it. It's not a

39:15

science. So just kick it to the curb.

39:17

>> Yeah. Physics is physics. Social science

39:20

>> political science or social science.

39:22

What is that? Yeah,

39:24

>> in China, in Germany, in Russia, there

39:27

are science and engineering institutions

39:30

that are separated from universities

39:32

where you can go and learn the

39:33

humanities. And I'm not discrediting the

39:35

the value of learning the humanities. If

39:36

you can afford it, if you think that

39:38

there's value in doing that for yourself

39:39

in your career, yada yada, go for it.

39:41

Good luck, etc. If you're wealthy and

39:42

you want to engage in that because

39:43

that's something you want to pursue,

39:45

society needs that, we value it. Great,

39:46

go for it. But the problem is the

39:49

research being separated from the

39:51

humanities is critical. Sachs, if you

39:53

want federal funding, shouldn't we put

39:56

and you want nonprofit status for your

39:58

giant endowment, why not require these

40:01

schools to increase the number of

40:03

Americans that they're educating and to

40:05

lower the price of the education? Now,

40:07

if you want to do it privately, fine.

40:08

But if you want federal funding, if you

40:10

want taxpayers to underwrite these

40:13

incredible institutions,

40:15

double the number of people you're

40:16

teaching, triple the number of Americans

40:18

you're teaching, and lower the cost 10%

40:19

a year till more people can afford it.

40:22

like we we have to hold them to some

40:24

standard here for increasing the number

40:26

of Americans who are educated because

40:27

those institutions now are global

40:29

institutions. There's very few Americans

40:31

going to them.

40:32

>> Listen, we've seen with all sorts of uh

40:34

goods and products that when the

40:36

government is paying the bill, the price

40:38

always rises. You always get inflation

40:40

because the government is relatively

40:42

insensitive to cost. Whereas, if you

40:45

look at technology products, the price

40:46

keeps going down over time. There's a

40:48

really good chart on this, right? where

40:49

like all the sectors of the economy that

40:51

are experiencing massive inflation,

40:53

they're all they're all funded by the

40:54

government.

40:54

>> Yeah. Healthare, housing, education,

40:56

where it is.

40:57

>> So look, that's what's going on with

40:58

higher education. But I want to bring

40:59

one other thing into this, which is, you

41:00

know, we spend a lot of time talking

41:01

about higher education. We don't really

41:03

spend that much time talking about the

41:05

quality of K through 12 education. M

41:08

>> and my sense on this is that over the

41:10

past 30 years or so, there's been a

41:12

shocking decline in the quality of

41:15

American

41:17

elementary and high school education. I

41:20

think it's so bad.

41:21

>> So bad.

41:22

>> If you look at the performance on

41:24

standardized tests, the extent they even

41:25

do testing anymore, you see pretty sharp

41:27

declines in the quality of education.

41:29

But there's a lot of places now where

41:31

they're trying to abolish testing.

41:33

They're abolishing gifted programs, math

41:35

programs. This is like a big issue in

41:37

California, San Francisco. They tried to

41:39

get rid of those gifted schools because

41:42

of of so-called equity. In other words,

41:44

they want to define the standards down

41:46

to the to the lowest because it would be

41:48

supposedly unfair for some kids to

41:50

experience the advancement of being in a

41:52

gifted program. And then of course, you

41:54

get into the behavioral standards. We've

41:55

all seen these viral videos of fights

41:58

happening in schools where, you know,

42:00

sometimes the teachers are in the fight,

42:02

sometimes the kids are in the fights.

42:04

This has been a total decline of

42:06

behavioral standards in schools. You

42:09

know, I remember back in the 1990s, Bill

42:11

Clinton got a standing ovation in the

42:13

State of the Union because he said that

42:15

they should have school uniforms and

42:17

there's a sense that you should have

42:19

discipline in schools and high standards

42:22

and now like I mean I actually think

42:24

that's a good idea. I mean I actually

42:25

think that

42:26

>> 100% uniforms and no and have phone

42:28

lockers, no phones in the school. You

42:30

you you check your devices. A lot of

42:31

things that could be done to to uh to

42:34

raise the the bar.

42:34

>> What is this fighting in Brooklyn in a

42:36

school?

42:37

>> This is what goes on in China.

42:40

>> Oh, look at that. Team work.

42:42

>> Teamwork.

42:42

>> We should do that at the summit. The

42:43

four of us should bounce basketballs and

42:46

show that we're a team. This be a good

42:48

team building exercise for the all-in

42:49

retreat.

42:50

>> Remember like you know the the the the

42:52

schools are in America, the public

42:53

schools are not run for the benefit of

42:54

the kids. They're run for the benefit of

42:56

the teachers unions. And we saw this

42:57

during co where Randy Weingarten

43:00

insisted that the schools stay locked

43:03

down and closed far longer than was

43:06

necessary when everybody else had

43:08

already realized that these lockdowns

43:10

did not make sense that putting the desk

43:12

5T apart was absurd. It was a placebo.

43:16

Who who

43:18

statement Sax? Because I remember this

43:20

happening. I remember the union guys

43:22

>> fought against reopening the schools.

43:25

>> Absolutely. Who was like there was a guy

43:26

you met?

43:27

>> It was Randy. It was Randy Weingard and

43:29

the teachers unions that were fighting

43:30

the school reopening and they kept it

43:32

closed for a year longer than necessary.

43:35

I mean in California it was closed for

43:38

roughly 2 years. You know there's

43:40

absolutely no justification for that

43:42

second year. Even if there was for the

43:43

first one I don't which was highly

43:45

questionable. And then the way they were

43:47

having you know 5-year-olds wear masks

43:49

to school.

43:50

>> Yeah.

43:51

>> I mean even in our schools. No, I mean I

43:53

had my 5-year-old was like they're

43:55

trying to like put this like mask on him

43:58

and

43:58

>> it's so sad. And then it was absurd

44:00

>> when when I he was falling off and

44:03

>> they never it was always like the nose

44:06

was out and you're like okay so this is

44:07

so performative when I

44:09

>> was taught in any way. It was

44:11

>> but I mean we talked about this during

44:12

co like what is the damage going to be

44:14

to these kids and we're seeing it now in

44:16

a range of things. I remember when I got

44:18

rid of the masks, my 9-year-old, who was

44:21

maybe five, maybe 6 years old at the

44:23

time, she refused to take it off and she

44:25

was scared. She's like, "No, Dad. I

44:27

can't take this mask off. I don't want

44:28

to die." And I'm like, "What are they

44:30

telling you at school? You're not going

44:31

to die. Nobody's wearing a mask

44:33

anymore." Unless you're at like the

44:35

Socialism 2025 conference where

44:37

everybody's I don't know if you saw

44:39

that, but Socialism 2025, they're

44:42

literally like after they do their land

44:44

acknowledgements, they mask up. So, it's

44:47

a panel of people in 2025 wearing masks.

44:50

>> Wait, is there really a socialism 2025

44:52

conference?

44:53

>> We have to go next year. I think we

44:54

should host an all-in panel at this. We

44:56

should definitely do some programming at

44:57

the 2026 socialism. It's amazing. It's

45:02

like the Democratic Socialist Party.

45:03

It's incredible. It's incredible.

45:05

>> Register for the party to get the

45:06

invite.

45:07

>> We should totally go undercover. We

45:08

should wear like we should get goatees

45:10

and suspenders and go as baristas like

45:13

and just talk about how we're going to

45:14

seize the memes of production.

45:17

>> Here's um it would be so great all in

45:20

undercover. If you look at the red bar

45:22

here, just in current dollars, the

45:23

average uh tuition fees, you know, when

45:26

we went to school it was 2 to 3,000 a

45:29

year on average and then now it's at 10

45:33

and that's an inflation at dollars. If

45:35

you put entrepreneurs on this and just

45:37

said

45:37

>> the problem is the socialist mindset is

45:40

that the way to solve that is to get the

45:41

government to do more and make it more

45:43

free. And the reality is that the reason

45:45

this happened is because the government

45:47

began to provide student loans unlimited

45:49

to everyone that got

45:50

>> running education in the administration.

45:52

Let's talk to them about accreditation

45:54

and cracking that open issue. We could

45:57

invest in a company to do this.

45:59

>> There was plenty of private

46:01

universities and private schools out

46:03

there. The problem is they all get

46:04

access to the capital. It's not about

46:06

accreditation. Sure, like make make

46:08

accreditation more easy, but at the end

46:10

of the day, you need to make capital

46:12

more efficient. You need to get the

46:14

government out of the role of allocating

46:15

capital to education. That's right.

46:17

There's there's actually a really simple

46:18

fix to this.

46:19

>> Somebody needs to close the loop so that

46:21

when you say you want to go and get an

46:23

art history degree, the answer is you

46:25

can do it, but you need to pay for it.

46:28

>> And no longer. In other words, what what

46:30

you're saying is there needs to be a

46:32

restoration of underwriting criteria,

46:34

correct for this type of

46:36

>> I said this forever. That's right.

46:37

Exactly right.

46:38

>> But also, I mean, if you do the next

46:40

prize, you said, "What's the least

46:42

amount of money you could spend to

46:44

educate somebody to be a lawyer?" You

46:47

would get entrepreneurs who like, "Oh,

46:48

that's a great business." Entrepreneurs

46:50

don't go after this because the

46:51

accreditation process is decades long.

46:53

It's impossible to do because of

46:55

regulation. civil servant David Saxs.

46:57

Let's let's put this on.

46:59

>> AI is going to be an accelerant here,

47:00

David, because I do think that with AI,

47:03

it's a great equalizer. There was a

47:04

company I was talking to the other day

47:06

that does AI education and they are

47:09

having an absolute liftoff in their

47:11

business in South uh America and in

47:14

South Asia. And in these markets,

47:16

there's a der of qualified teachers to

47:18

stand in front of a class and teach

47:20

folks. And so by using AI, these kids

47:22

are now getting ahead of American kids.

47:25

In other words, they're they're

47:26

advancing through AI psychosis because

47:28

they're spending 12 hours a day on AI,

47:30

>> right? Well, probably two hours a day.

47:32

>> I mean, that's probably what's going to

47:33

happen is the AI is a great leveler

47:36

because you can basically get all the

47:38

world's information at your fingertips

47:39

in a way that's fully interactive,

47:41

>> personalized education, personalized

47:43

ting, that's it.

47:44

>> But then some trial lawyer is going to

47:45

end your ability to get that because

47:46

they're going to call that AI psychosis.

47:48

>> The technical term is adaptive learning.

47:50

And I don't know if you guys drive your

47:52

own cars anymore, but in the Tesla, they

47:55

just added Grock to the dashboard. If

47:56

you long hold the like um

48:00

Siri version in there, it turns into

48:02

Grock. And I did a thing where I said,

48:03

"Hey, test my vocabulary." And it

48:04

started giving me words. It would ask

48:06

for my definition. I give it the

48:08

definition. It say, "You're close. This

48:09

is a better definition." And on my rides

48:11

to and from the office now, I'm doing

48:13

like vocabulary tests and it's

48:14

increasing my vocabulary and testing me

48:16

on higher and higher. So, you're now

48:18

like third or fourth grade or like what?

48:21

>> I mean, my vocabulary has already been

48:22

off the charts. I guarantee my verbal

48:25

score would be higher than the three of

48:26

you. Guaranteed. Guaranteed.

48:29

>> What does AI say about the correct way

48:31

to pronounce monetization?

48:34

>> Well, I've been working on that. And you

48:35

know what? I'm It's I'm I'm correcting

48:37

that. Uh, don't you? But but make fun of

48:39

me because of my dyslexia. I need an

48:41

accommodation.

48:42

>> I I actually personally I prefer JCL's

48:44

version. I like it a lot better.

48:45

>> Monetization is monetization. into it,

48:48

folks. All right, listen. Let's give

48:49

some red meat to Sachs. He took the time

48:51

to show up. Trump sent the National

48:53

Guard to DC. Folks seem to be generally

48:55

in support of it. Two weeks ago, Doge

48:58

staffer Big Balls was badly beaten by a

49:01

group of 8 to 10 teenagers in an

49:03

attempted carjacking.

49:05

And he truly has big balls cuz he tried

49:08

to protect his woman uh and just fought

49:10

hard. Trump posted a bloody picture of

49:12

my truth social

49:14

saying in DC that crime is totally out

49:18

of control. And uh he decided if DC,

49:22

this is what he said, if DC doesn't get

49:24

its act together and quickly, we will

49:26

have no choice but to take federal

49:27

control of the city and run this city

49:29

how it should be run and put criminals

49:31

on notice that they're not going to get

49:33

away with it anymore. Well, he did just

49:35

that. On Monday, Trump invoked section

49:37

740 of the DC Home Rule Act of 1973.

49:41

Allows the president to take control of

49:43

the District of Columbia and uh for up

49:46

to 30 days. So, daddy's home and 800

49:50

National Guard troops are in the city. I

49:52

mean, if you told me you could send 800

49:54

National Guard to the Tenderloin and get

49:57

rid of the fentinol dealers, I'd be like

49:58

all for it. Saxs, your thoughts on this

50:01

move? Obviously, some media elites or

50:05

people are hand ringing, oh, this is

50:06

Trump trying to be emperor king, but

50:09

he's legally in the right, right? He has

50:10

the right to do this in DC specifically.

50:13

What are your thoughts generally? Is he

50:14

going to go roll into New York, San

50:16

Francisco, and LA next? That seems to be

50:18

the hand ringing. Or is this an isolated

50:20

kind of DC specific?

50:23

>> Well, no. The the federal government has

50:24

the right to run DC. And I think they it

50:27

did until the 1960s and then you had

50:29

this experiment in home rule and I think

50:31

you'd have to say that the experiment

50:33

has not worked out that well. So last

50:36

year Washington DC had the fourth

50:38

highest homicide rate in the US. Its

50:40

homicide rate was nearly six times

50:42

higher than New York City which wasn't

50:44

great. The homicide rate exceeded

50:46

Atlanta, Chicago, and Compton. It also

50:49

has one of the highest robbery and

50:50

murder rates among US cities. And

50:52

there's been numerous assaults and

50:54

robberies on congressional staffers and

50:56

members of Congress. In May, you had two

50:58

embassy staffers were murdered. In June,

51:01

a congressional intern was fatally shot

51:03

just a short distance from the White

51:05

House. And then, of course, just um a

51:07

week or two ago, you had that uh attack

51:09

on the the Doge staffer. I think his

51:12

real name is uh Edward Constantine,

51:15

aka Big Balls, who was mercily beaten by

51:18

a group of of I think teens. And that's

51:21

been a big issue is that juvenile crime

51:24

is a huge issue in DC because there's

51:26

just no punishment. I mean, they're

51:28

they're caught and then they're

51:29

released. DC's had a policy of zero

51:31

bail, which we've seen in many cities.

51:34

But what that basically does is create a

51:35

revolving door at the jail. As soon as

51:36

someone's caught, they're released. And

51:38

then you've also got vehicle theft in

51:40

the districts over three times the

51:42

national average again because even when

51:44

they catch someone, they just let them

51:45

go. You've got repeated armed

51:47

carjackings and violence again by

51:50

teenage gangs. And the liberal media's

51:53

favorite talking point on this is that

51:54

somehow violent crime is down in in DC,

51:58

which is the exact same thing we heard

52:00

about San Francisco. Remember when Chase

52:02

Budin implemented the zero bail policy

52:04

and crime was going through the roof and

52:07

>> CVS and Target were shutting down. All

52:09

the stores were basically locking up the

52:10

toothpaste. I mean, people could feel

52:12

the crime, but no one was reporting it

52:14

because they just knew that nothing

52:15

would happen. So, I think this is the

52:18

typical gaslighting we've seen before,

52:20

and no one really can trust these stats.

52:22

I think they they all have stories about

52:25

about crime. There's a bunch of um

52:28

commentators on CNN and MSNBC who've

52:31

been trying to make this argument about

52:32

the crime being fictitious, and they've

52:34

been bringing DC residents on the air as

52:38

guests. And every time they try to Dude,

52:41

man, it blows up in their lap.

52:43

>> Yeah. They they try to get these um DC

52:45

residents to support this this crime is

52:47

down narrative. And then every time the

52:49

the DC residents start telling stories

52:51

about them or their their friends being

52:53

victimized, it's like, oh yeah, I know

52:55

this person got this friend of mine got

52:56

shot or this person got carjacked.

52:59

>> And it's become comical now. And a lot

53:01

of these these videos are going are

53:02

going.

53:03

>> This is what's good about the murder

53:04

statistic is that you can't make that

53:06

one up. Murder

53:07

>> harder, too. Right. Exactly. you you

53:09

can't cover up somebody getting shot.

53:12

You know, we had the same exact thing

53:13

that happened in New York. My brother

53:14

was a cop in the '90s. We had stop

53:16

question frisk. People call it stop

53:18

frisk. People were overwhelming

53:21

uh in favor of this. Now listen, people

53:24

shouldn't be randomly stopped and and we

53:26

we all have concerns about that. But

53:28

crime was so bad in the 80s in New York

53:30

when I grew up there that in the '9s

53:32

people are like, "Yes,

53:34

>> stop question and frisk anybody hopping

53:36

a turn style." And that's how we got all

53:38

the guns off the street. And then New

53:39

York became incredibly safe under

53:41

Giuliani 1.0 and Bloomberg and

53:45

we got Dinkens 2.0, Delasio.

53:48

>> So if you remember the theory back in

53:50

the '9s of how you reduce crime was the

53:53

the broken windows theory.

53:54

>> Yeah. which is that you get rid of the

53:57

entry- level crimes and you get rid of

53:59

the visible manifestations of

54:02

lawlessness and chaos because when you

54:05

create an environment in which it

54:07

appears that those things are tolerated

54:09

then you will end up getting more of it

54:11

especially I think by by juveniles. So

54:15

that was the theory in the '90s and

54:16

absolutely worked and what you've got in

54:18

DC is the opposite of it. And I think

54:20

what President Trump has said is look

54:22

first of all we're going to get rid of

54:22

the homeless encampments. So, that's

54:25

being removed. You're going to get rid

54:26

of the graffiti. We're going to stop the

54:28

zero bail. So, once people get locked

54:30

up, they're going to stay in jail. And

54:31

we're going to start treating these um

54:35

teenage criminals as you we're going to

54:38

punish them. We're not going to let them

54:39

off the hook. If they're committing

54:40

adult crimes, there's going to be adult

54:41

punishments. I mean, this is the right

54:44

direction to go if you want to reverse

54:46

this wall in DC. And I think it's going

54:49

to have an impact very, very quickly. I

54:51

think it's going to work very quickly.

54:53

And I think that Democrats who are

54:55

denouncing this are falling into this

54:56

trap that I think we saw on the border

54:58

as well where they appear to be

55:01

supporting criminals and gang members

55:03

just like they did on,

55:04

>> you know, with the deportations where

55:06

they start resisting the deportations of

55:08

MS-13 gang members. They fell into a

55:10

trap there. I think they're going to

55:11

fall into a similar trap here in DC

55:14

because I think this is going to work

55:15

and I think it's going to provide

55:18

Republicans with

55:21

a very important counterpoint because I

55:23

think one of the problems with crime is

55:24

that is a local problem and the truth is

55:27

that it's been very bad in blue cities

55:29

and Republicans just haven't had power

55:31

there in order to effectuate a change

55:34

that they could point to as a solution.

55:37

And I think that DC provides that

55:38

opportunity. If Trump's plan works, I

55:41

think it'll show that Republicans have

55:44

the solution on on crime and it'll

55:46

hopefully help provide an alternative in

55:48

these deep blue cities.

55:50

>> And here's a chart just to put some

55:52

numbers behind it. This is gun assault

55:54

rates in Washington DC. You can see it

55:57

spiked under Biden, went up a bit, 2024,

56:03

came down at the end of his term, and

56:05

then it's lower this year in 2025. That

56:07

black bar is the first half. So, it is

56:10

trending in the right direction, but

56:11

it's still not acceptable. Saxs, I guess

56:13

the question is,

56:14

>> I just don't know if we can believe all

56:15

these statistics. So, just last month,

56:17

there was a DC police commander was

56:19

suspended for manipulating crime data to

56:22

make it seem lower than it actually is.

56:24

And the DC police union says this

56:26

practice is widespread. In the TV show

56:28

The Wire, remember they called this uh

56:30

juking the stats.

56:32

>> So, first of all, you got the people in

56:33

charge. Uh the way that lieutenants

56:35

become colonels is by manipulating the

56:37

crime data. Then you've got the learned

56:39

helplessness that we saw in San

56:41

Francisco, which is once people realize

56:43

that the jails are a revolving door and

56:45

nothing's going to happen, they stop

56:46

reporting this stuff. Yeah.

56:47

>> Now, you're right that the murders, I

56:49

think, are hard to cover up. I think

56:50

those probably are are accurate. But the

56:53

things like carjackings or or assaults,

56:55

things like that or shoplifting or or

56:58

theft, I think a lot of that stuff just

57:00

goes unreported.

57:01

>> It has become a partisan issue. And if

57:03

you look at the partisan stats, every

57:05

time it flips, just like the economy,

57:07

Republicans think it's a disaster,

57:08

Democrats think it's fine, and then when

57:10

a Democrat's in office, it flips. But I

57:12

guess the question Sachs is that um I

57:16

think people have a a reasonable

57:18

argument here. Is this going to

57:21

be a strategy by the Trump

57:23

administration to go into New York City

57:25

next, LA next, San Francisco next? And

57:28

would you agree with that or not?

57:30

>> The question is what would the legal

57:31

basis for doing that be? I mean, in the

57:34

case of DC, this is a long-standing

57:36

situation where the federal government

57:38

has the right to run DC and did run DC

57:42

for many, many decades, and it was only

57:44

more recently that this changed to this

57:46

experiment in home rule. So there's

57:48

clear federal authority for President

57:51

Trump to do what he's doing, but I don't

57:53

know if it would be the same for New

57:54

York and LA. So I tend to think that

57:56

whole issue is is a red herring.

57:58

>> Yeah, I agree.

58:00

>> Yeah,

58:00

>> strongly agree. Here's the Gallup

58:02

Freeberg. I'll let you comment on this,

58:03

but this is partisan's perceptions of

58:05

local crime. As you see,

58:08

you can see Trump's term in pink and

58:11

then Biden's in blue and then before

58:12

that Obama's. And uh Republicans think

58:16

under Biden it was like a massive issue

58:18

crime and Democrats thought it was no

58:20

issue. And then you go to Trump's it

58:22

reverses slightly more Democrats think

58:24

crime is an issue under Trump.

58:26

Republicans think crime is gone under

58:28

Trump. Then you go to Obama. Republicans

58:30

think that crime is a disaster under

58:31

Obama. Democrats think it's so you just

58:33

have to look at the raw numbers. But the

58:35

fact is homelessness is a major issue

58:38

here Freeberg. So, I'm curious what you

58:40

think about what should our policy be

58:43

on, you know, let's call it what it is,

58:46

junkies. It's not home, it's not a

58:47

homeless issue. These are people

58:49

addicted to super drugs. Should they be

58:51

allowed to be on the street? Should they

58:53

be round up and put either in a mental

58:55

hospital, in jail, or

58:59

just generally not allowed to be on the

59:01

streets in a major city like San

59:02

Francisco? What do you think? I don't

59:05

think that we should allow people to

59:06

live on the streets because it's

59:08

community property. It's not for

59:10

individual use. And you know, I can't

59:12

leave my stuff on my sidewalk. The city

59:14

will come and clear it away. Why can

59:16

someone choose to live on the sidewalk?

59:18

I think, you know, that's just the rule

59:20

of law is just, you know, enforce it.

59:22

>> What should happen to those people

59:24

addicted to fentinol when they get

59:26

picked up? What should happen next?

59:28

>> There was a case that led to shutting

59:29

down many of the mental hospitals in the

59:31

United States.

59:32

>> Yes. people were being abused in them.

59:34

So then we had

59:35

>> and so the response was get rid of the

59:37

mental hospitals. But unfortunately like

59:39

the mental health crisis is real. We

59:41

talked about it. The drug addiction

59:42

crisis is real.

59:44

>> And I do think that for the sake of the

59:46

community, the sake of the social

59:47

fabric, that is a very good way to spend

59:49

taxpayer dollars is to create treatment

59:52

centers and mental health facilities to

59:53

take care of people in need. Uh in that

59:56

particular context, I think that it is a

59:57

heartless thing to leave people living

59:58

on the street like that and they should

60:00

be cared for. So, I would be all in

60:02

favor of I don't use the term round them

60:04

up, Jason, but I would say provide like

60:06

a access to care and effectively move

60:09

them if they're not going to move

60:10

voluntarily, move them into those care

60:13

facilities to create recovery for them.

60:15

I don't think that we should have

60:16

homelessness on the street.

60:17

>> I I am 100% agree with you. It's totally

60:19

compassionate to take them off the

60:21

street and not subject them to life on

60:24

the street. Now, they are not in a

60:26

mental state to make their own decision

60:28

is the key issue. them off. So if you

60:30

had, god forbid, a family member who was

60:33

on the street doing fentinel, you

60:34

yourself, I I think all of us would say,

60:36

"Yeah, pick the person up, don't let

60:38

them live on the street, and if they

60:39

won't go to the facility, then they have

60:41

to go to jail." Like, I mean, it's just

60:42

the nature.

60:43

>> Some of you, some of you know this, but

60:44

some somebody in my family has struggled

60:47

with mental health

60:49

>> pretty severely, has been in jail, and

60:52

>> you can't do anything. You can't force

60:54

them to take their antiscychotics. You

60:58

can't you can't do anything.

61:00

>> Yeah.

61:01

>> So I I unless the rules change, you

61:04

know, these things are like but for our

61:07

ability to intervene, this person would

61:09

be on the street is my guess.

61:11

>> Yeah.

61:12

Well, I mean, I agree with what Freeberg

61:15

said about this. And just another case

61:17

is city of Austin, which is a deep blue

61:20

city within a very red state, but they

61:22

had a very permissive policy towards

61:25

letting people camp out on the sidewalks

61:27

and

61:28

>> and it ruined the downtown and then they

61:30

passed a ballot initiative there and

61:32

they moved

61:34

>> the I guess you call them homeless

61:35

people to a campground. So yeah, I mean

61:38

the best solution would be to move them

61:39

into treatment or some sort of mental

61:42

institution. But if they won't go to

61:44

that and they insist on living outside,

61:47

then at least if they're going to insist

61:49

on camping, put them in a campground.

61:51

You don't put them in the middle of the

61:53

sidewalk in public places where it's

61:56

extremely disruptive and threatening to

61:58

the safety of everyone else. I mean,

62:00

obviously having people camping outside

62:02

our national monuments has to be the

62:04

worst possible place for these people to

62:07

be.

62:08

>> I they have been relocating homeless

62:11

people to campsites and uh there's

62:15

plenty of land here to do that. And

62:17

>> when will the National Guard

62:19

>> Yeah.

62:19

>> be in DC?

62:20

>> They're there.

62:22

>> Oh, this is perfect cuz I have to be

62:23

there in September. Nick, I sent you a

62:25

picture of what I'm going to wear.

62:28

This is what I intend to wear in DC when

62:30

I go. That's what I'll be wearing.

62:34

>> Your mom's going to wear his gold chains

62:35

again. You feel safe enough to to bust

62:37

out the bling?

62:39

>> You look good in that photo. I like the

62:41

mustache. I don't know why you shaved

62:42

it. I was all in favor of it, my friend.

62:44

>> Thank you.

62:45

>> Anyways, I'm going to break this out in

62:46

September.

62:49

>> Well, here here's the thing is if you

62:50

actually spend time in DC, then you're

62:54

very happy about these changes. is

62:56

you're very happy about the National

62:57

Guard coming in and making it safer.

62:58

You're happy about the homeless being

63:00

moved out. And this is why Mayor Bowser,

63:04

who's the DC mayor, is playing it very

63:05

carefully. I mean, she's a Democrat, so

63:07

of course she's denouncing the takeover

63:09

as authoritarian. That's not a surprise.

63:11

But she's also acknowledging the the

63:13

legality of this by the Trump

63:15

administration and she's been pledging

63:17

to cooperate. So, she knows that

63:20

cleaning up DC is going to be popular

63:22

with the residents even if it offends

63:24

the groups. So I I think that's pretty

63:26

interesting.

63:27

>> Yeah.

63:27

>> That she sees that this is going to be

63:29

po it's popular enough that she has to

63:31

play it carefully. And I think that just

63:34

politically speaking that if Democrats

63:36

keep opposing this, I think they're

63:38

falling into a trap that Trump has laid

63:40

for them

63:41

>> 100%. I mean, if you asked, and I tried

63:44

to find some statistic like this, it'd

63:45

be great if somebody would do this one,

63:46

but if you ask people with families,

63:48

let's say, who live in DC, are you in

63:50

favor of this or not? people will

63:53

actually have to live under these

63:55

conditions. I'm guessing 80 90% are like

63:57

absolutely this has to end and if this

63:59

is the quickest way to end it, sure,

64:00

send in the National Guard. It'll be a

64:02

good deterrent and get a little extra

64:04

support. I don't understand why the

64:06

Democrats don't do anything other than

64:07

say, "Yeah, this situation is untenable.

64:09

We'll take all the support you can give

64:11

us." That's the right answer.

64:14

Well, the Democrats, you know, one of

64:16

the problems here is that the the DC

64:20

Metro Police Department is one of the

64:21

most dysfunctional in the country. And a

64:23

big part of the reason why is because of

64:25

DEI.

64:27

>> The person who leads the department, the

64:28

chief of the Metro Police,

64:30

>> she had spent 23 years on the US Park

64:33

Police Force and then spent one year as

64:36

DC Metro's chief equity officer and then

64:40

was promoted to being the whole chief of

64:41

police. So basically they promoted the

64:44

the DEI person to being the chief of

64:48

police for the whole department. And

64:49

when she was asked about what the

64:52

implications would be for the chain of

64:53

command, she didn't know what chain of

64:54

command meant.

64:55

>> Oh yeah, that was a weird moment.

64:57

>> This is an interview that's going viral

64:58

right now.

64:59

>> It's Karen Mass kind of moment. Yeah.

65:01

Like maybe this person isn't um Yeah. up

65:05

for the job, let's say.

65:07

All right. Listen, it feels like a bit

65:10

of a a distraction of an issue. feels

65:12

like just good policing and yeah, if the

65:15

place

65:15

>> I don't think it's a distraction. I

65:16

think it's core. I mean, look, it

65:18

>> No, I'm saying the media's reaction to

65:20

it with like, oh my god, Trump's going

65:21

to be god king and he's going to go into

65:23

every city and do martial law. I think

65:25

that piece is the distraction. I think

65:26

this is probably just good policy. If

65:29

they has the right to do it and the

65:30

place is out of control,

65:32

>> clean it up.

65:33

>> Let's go on to our next topic. We got we

65:34

got a one or two more topics we want to

65:36

hit here unless anybody has something

65:38

they have to get to. Chimath, you wanted

65:39

to talk about VC returns versus public

65:41

markets. I know Freeberg, you brought

65:43

this up in a previous issue that you

65:44

could just set it and forget it in the

65:45

MAG 7 back in the day. So, we're going

65:47

to revisit this topic. Public markets,

65:50

here we go. They've been on a tear. 2023

65:53

up 24%. 2024 23%. 2025, we're at 10% so

65:56

far. Here's just a chart of it. We had

65:59

one down year obviously 2022

66:02

and it's been on a tear. And it's only

66:07

happened one other time before that the

66:10

uh we've had three straight years of

66:11

this kind of 15% performance. Very rare.

66:13

You see we highlighted them there on the

66:15

chart. Um the dotcom bubble in the late

66:18

90s

66:20

and then before and after like peak zer

66:23

and then now uh now you can compare that

66:25

to the private markets

66:28

venture capital and uh here's a chart

66:31

from 2022. And the reason I'm going to

66:34

show these is when you looked at venture

66:36

as a category versus say the S&P or a

66:38

couple of lines up from that you see the

66:40

NASDAQ venture was extremely extremely

66:43

attractive according to Cambridge

66:44

Associates which tracks us. They have

66:46

the best data because they've been doing

66:47

it the longest. Then we go and we look

66:49

at the same chart in 2018. Hey, look,

66:52

the NASDAQ's doing pretty well when

66:54

compared to venture in large part

66:57

because we had some of these mega hits,

66:58

the Googles and Facebooks and Amazon the

67:01

world, you know, coming to fruition and

67:03

just going on a tear. And then here we

67:05

are in 2018, public markets really start

67:08

to rip. Same chart, just different time

67:10

period. Here's 2020. And maybe venture

67:15

isn't doing as good when you look at it

67:17

compared to the markets. Of course, you

67:20

can't do this for the last 5 years or 6

67:23

years of venture because they're in the

67:24

J curve. When you do venture investing,

67:26

you're expecting it to pay off 7, 8, 9

67:29

years. But the trend here, I think,

67:31

Chamont, that you were pointing out is

67:33

public markets, liquid,

67:36

no fees, low fees, minuscule fees when

67:39

compared to venture and maybe a better

67:42

bet for investors and that's challenged

67:44

the venture industry. Was that your sort

67:46

of point in bringing this up? I think

67:47

the venture model is broken but it's

67:49

broken for two different reasons not not

67:51

totally correlated to each other. The

67:53

the first is purely mathematical which

67:56

is when the public markets provide a

68:00

consistent rate of return. It doesn't

68:01

matter what that is but let's just say

68:03

you know you average it out it's 15%.

68:06

The question is what is a private

68:08

investment have to give you so that it's

68:11

worth putting it into an illquid

68:14

instrument where you don't get your

68:15

money back for some number of years. Now

68:18

problem number one is it used to be that

68:20

you could get your money back in six or

68:22

seven years and the fund would liquidate

68:24

after 10. Now, you don't typically start

68:27

to see returns until year 10 and often

68:30

times year 12 or year 13, which means

68:33

that they don't really pay out until

68:34

year 16 or 17.

68:37

What the math of that would tell you is

68:40

that you need to generate somewhere

68:42

between 6 to 10% more

68:46

in terms of the gross return so that on

68:48

an applesto apples basis, you're being

68:50

compensated for all of that illiquidity,

68:53

right? God forbid something happens or

68:55

you want to buy a house and you need the

68:57

money in the stock market, you just sell

68:59

it instantaneously.

69:01

In a venture investment, you're going to

69:03

call somebody, they're going to probably

69:06

haircut you by 30 to 50% and you're

69:08

going to sell it because it's a liquid.

69:11

So, if the public markets are giving you

69:13

15%, the reality is that you need to get

69:16

25% plus. So then the question is what

69:19

venture investors generate 25% plus IRRs

69:22

over a 17-year period or a 15-year

69:25

cycle? And it turns out that every fund

69:30

has a very low statistical probability

69:32

of doing it. Every fund manager, if

69:35

you're in the top, you know, handful, we

69:38

all know who they are. They'll always at

69:39

least have one that does it. So the

69:42

problem is you have one that does it

69:43

then the next one that doesn't then the

69:45

next one that's even worse and maybe one

69:46

that comes close and so there is no

69:50

systematic approach to the return

69:52

street.

69:54

So how should you look at venture

69:55

capital I guess is one question

69:59

and I think the way that one should look

70:00

at it is look in a portfolio where you

70:02

have a lot of liquid assets it's a small

70:06

piece that essentially is a mechanism to

70:10

learn about the future and to understand

70:13

how your other assets are going to

70:15

perform. I think it makes a ton of

70:17

sense, but if you're trying to crush it,

70:20

I think the only people that will really

70:22

make money in venture capital are the

70:23

GPS

70:25

building a fee generating business

70:27

around it.

70:28

>> Yeah.

70:28

>> Now, that then gets the second question,

70:30

which is then, okay, so if you do invest

70:33

in venture, what's the next big problem?

70:36

The next big problem is in a world of

70:37

AI, do you just see the amount of money

70:40

that's required to build a really big

70:42

success shrink? And if that happens then

70:46

you know how much money can you actually

70:47

really get working. So if you look at

70:49

companies like midjourney that's a great

70:51

example of a business where these guys

70:53

are like you know 40 50 60 person team

70:56

generating hundreds of millions of

70:57

revenue very profitable. They're not

71:00

going to be raising an enormous amount

71:01

of money. So I think that these two

71:04

things I think are very complicated for

71:06

venture. Doesn't mean that people will

71:07

stop investing but

71:08

>> Freeberg you want to chime in on this I

71:10

think.

71:10

>> Yeah.

71:11

>> Yeah. So I I pulled some data together,

71:14

Nick, if you could pull up the basics. I

71:15

know we talk about this a lot, but I

71:16

thought it would be good to show the

71:17

difference between kind of a normal

71:19

distribution and a power law

71:20

distribution. like venture returns or I

71:22

don't like to call it venture return but

71:24

I do think the returns generally in free

71:28

markets

71:30

create value creation in a power law

71:33

distribution which means that a few of

71:36

the many account for the vast majority

71:39

of the capital appreciation of the the

71:42

value creation and that's because of the

71:44

power of compounding. If you build a

71:47

better engine of technology, a better

71:49

business engine, you will compound and

71:51

that means that over time you will

71:53

accumulate more and more of the market

71:55

in an outsized way. As you accumulate

71:56

more of the market, you actually move

71:58

faster in accumulating more in the

71:59

market and eventually it becomes a

72:01

runaway flywheel. No one can catch up.

72:03

That's the key

72:05

return profile in free markets generally

72:08

speaking. And a manifestation of that is

72:10

that is also the return profile in

72:12

venture

72:13

in technology venture investing because

72:16

when you find that one or two great hit

72:18

the Uber that has a great network effect

72:20

or the Airbnb or the Google it has a

72:23

runaway effect in the market and it

72:24

accumulates all the capital and becomes

72:26

really valuable and you can see this in

72:27

the return. So if you just pull up this

72:29

is the latest Carta data. So this shows

72:32

what the IRRa by the vintage that the

72:35

fund was raised and then also by the

72:37

size of the fund and by how the fund has

72:40

performed on a percentile basis. Look

72:41

just at the 2017 row. So the top decile

72:46

funds are doing call it 30% versus you

72:49

know the median fund.

72:51

>> Hold on. They're not these are all

72:52

markups paper markup. These are not dist

72:54

these are all numbers.

72:56

>> Okay fair enough. But I'll make your

72:58

case in a second here. And these are not

72:59

DPI. So it's not distribution cash out.

73:02

This is just marked up value. And this

73:03

is eight years old. This is the 2017

73:05

vintage. But just the difference

73:07

between, you know, call it a 30% IRRa

73:10

and a 10% IRRa. That compounds over 10

73:12

years. So the multiple difference at the

73:14

end you should expect is the difference

73:16

of making 14 times your money or 2.6

73:20

times your money. The difference between

73:21

10% and 30%. And that's kind of what

73:24

this shows roughly is that the

73:25

difference between a 50th percentile and

73:27

>> the problem with this data though is

73:29

this is Carter's product is used by a

73:32

small number of people for a small

73:33

number of years. That's why the other

73:35

data we showed from Cambridge is much

73:36

better because the 2018 forward are

73:40

still in the J curve. So they and to

73:42

Chimat's point they're paper so I knew I

73:45

knew out there.

73:46

>> Okay. I knew we would go down this

73:48

rabbit hole. So I shouldn't have shown

73:48

that but like

73:49

>> No, that's okay. There are two key

73:51

points I wanted to make and just pull it

73:52

up again, Nick. The first key point I

73:54

wanted to make is because of the power

73:56

law, the job of investing is to find the

73:59

power law winners. It is not to buy the

74:02

index. If you buy the index, you are

74:05

losing to the market. Even if these mark

74:06

even if these numbers are correct, which

74:08

they're not as we've talked about,

74:09

you're losing to the index if you're

74:11

just buying the venture index. And it's

74:12

probably way worse than this. You have

74:15

to get the winners. And so what this

74:17

does show though is that the smaller the

74:19

fund, the less diversified it is, which

74:21

means the more they're likely to capture

74:23

the winners. And you can actually see

74:24

that the smaller funds generally have

74:26

better performance than the bigger

74:28

funds.

74:29

>> For sure they do because they're getting

74:30

in earlier as well, Freeberg, and

74:32

they're paying less value lower

74:34

valuation. So that's

74:36

>> also not they're not getting diluted

74:37

away by the index. And the index

74:39

generally is going to return negative.

74:41

It's going to be a negative returner. I

74:42

think I told you guys I went to an LP

74:44

conference years ago. one of the biggest

74:46

venture funds and they showed that 45%

74:49

of their capital went into flat or down

74:51

rounds and they had a negative net

74:53

return on that allocation of capital

74:54

across 13 funds and if they had put that

74:57

if they had never invested in flat or

74:59

down rounds then they would have doubled

75:01

their IRRa overall as a as a fund really

75:04

important point that the the power law

75:06

matters which is your job is to just

75:08

find the winners and if you find the

75:10

winners they're going to compound so how

75:11

does that translate so so go to the next

75:12

slide Nick so this is the one that I

75:14

shared in 2023 three that Gokul Roger uh

75:17

published on Twitter and that's where I

75:18

first saw this which is if you buy just

75:21

the top 10 companies in the NASDAQ and

75:24

you just held it, you would have made a

75:26

24x multiple over a 24-year period

75:29

versus if you had just bought the the

75:31

NASDAQ. So just owning the best

75:33

companies in the NASDAQ is by far the

75:36

best way to drive multiple of return

75:39

over a 10-year period. you made a 9x

75:42

multiple 9x just by owning the top 10

75:45

companies in the NASDAQ. And this was

75:47

through roughly the end of 2023. So now

75:50

let's pull this up. I pulled this

75:51

analysis together this morning for our

75:53

conversation. And this shows that the

75:55

venture returns don't stop when you stop

75:58

being a private company. That the real

76:00

return and this highlights the point

76:01

that most of the value when you find

76:03

that power law winner, most of the value

76:06

is created when they are a public

76:08

company. So, Palunteer went public after

76:10

17 years, and their market cap was 16

76:12

billion. So, they created 16 billion of

76:15

equity value over a 17-year period.

76:17

Since they've been public in 5 years,

76:19

they're now worth 436 billion. So,

76:22

they've created another $420 billion of

76:24

equity market value in just the last 5

76:27

years, probably eclipsing all venture

76:30

returns that have been made during that

76:32

same period of time. Airbnb went public

76:34

after 12 years, worth 47 billion. In

76:37

just five years, they added another,

76:38

call it roughly 30 billion. Uber went

76:41

public 75 billion after nine years as a

76:43

private company and now they're worth

76:45

190 billion. So they've added 120

76:47

billion of value in just 6 years since

76:49

being public. And Spotify, another good

76:52

example, 27 billion market cap when they

76:54

went public after being private for 10

76:56

years. And then they added another 120

76:59

billion of value in the seven years

77:01

they've been public. And I've got the

77:02

whole list here. This is all these

77:03

companies that have 100 billion plus

77:05

market cap. And when you find the power

77:07

law winner, the value continues to

77:09

accrete. It continues to compound and

77:12

you're better off just buying the public

77:14

stocks. And I think that this was my my

77:16

big kind of conclusion as I went through

77:18

all this data. Like

77:20

>> Chimath is exactly right. When you're in

77:21

the venture market, you learn a lot. And

77:24

ultimately, I think you probably want to

77:25

learn a lot to then allocate your

77:26

capital more wisely into what you've

77:28

identified are the power law winners

77:30

where most of the value continues to

77:32

accumulate whether they are private or

77:34

public. And having an IPO is just a

77:36

transitionary event for these companies.

77:37

Their their compounding engine will

77:39

continue as a public company if you've

77:41

identified them. Facebook such a great

77:42

example. Eight years as a private

77:44

company, 100 billion market cap at IPO,

77:46

added another two plus trillion dollars

77:48

in the years since.

77:49

>> Yeah, I think you

77:50

>> Freeberg, you you've cherrypicked all

77:52

the winners in hindsight, the biggest

77:53

winners for that list. What if you were

77:55

just to create a list of every

77:57

>> IPO

77:57

>> tech IPO and how it's fared afterwards,

78:00

>> right? No, it's a fair point. There be a

78:01

lot of stinkers in there that you

78:03

haven't but my point, Sax, is just find

78:05

the power law winners and then that's

78:06

where all the the value

78:08

>> improves. Well, I mean that that's hard,

78:10

too.

78:10

>> Yeah. Here's the I think you have to

78:12

look at how we got here. I I started

78:14

doing this just, you know, in my second

78:16

decade

78:18

and companies decided to stay private

78:20

longer. That was the big trend. And then

78:22

there was a lot of reactions to that.

78:24

Secondary transactions started occurring

78:28

and then you just couldn't get DPI. we

78:30

had to hold it forever and now the

78:33

industry is responding to this. So now

78:35

we have something called strip sales. We

78:37

have people creating continuation funds,

78:39

ways to take those early investors and

78:42

get them out into a new vehicle or to

78:44

create some liquidity. And Chimat's

78:47

point is really important because you do

78:49

get so much intelligence and what I

78:51

learned having been an investor in Uber

78:53

and Robin Hood when they were 5 million

78:55

and $20 million companies. I was like

78:57

first investor into those companies is

79:00

when they crashed in the market when

79:02

Uber hit 30 I bought up a bunch of it as

79:04

a public investor even though I had a

79:05

ton from when I was an angel investor.

79:08

And I did the same for Robin Hood at $12

79:10

because I knew the management. I knew

79:11

Vlad. I knew Travis. I knew Dra. And I

79:14

had that understanding of the market.

79:15

And the same thing I did with Facebook,

79:16

having listened to Chim talk about it

79:18

all these years and Brad Gersonner talk

79:20

about all these years. I backed into it

79:21

when it was $92. So what's happening now

79:24

is what Ruof did with his continuation

79:28

fund and holding the private ones is in

79:30

the theme song of this podcast famously

79:32

when Zach said, "Let your winners ride."

79:34

That is the overarching thing here. the

79:37

industry, the venture industry is in

79:39

massive transition. It's going to start

79:40

looking a little bit like private equity

79:42

and a little bit like Gavin or Brad

79:44

where they're private and public market

79:46

investors and you're seeing buyouts

79:48

occur. So people are saying, "Hey, this

79:50

SAS company's undervalued. We're just

79:53

going to buy the company and we'll start

79:54

operating it." So venture is in a

79:56

massive transition. But I think what

79:57

comes out on the other side is something

79:59

that looks a lot more like public

80:02

private investing like RUF pioneered at

80:05

Sequoa and we're going to talk to him

80:06

about that.

80:07

>> I'll just respond to your last comment

80:08

and Jal I appreciate you saying that

80:10

because yeah Roloff is coming to the

80:11

summit to talk exactly about this which

80:13

is going to be great but that is the job

80:15

of being an investor to your point.

80:17

You're like hey you know you cherrypick

80:18

the winners but I think that's the

80:19

point. The point is that the returns

80:21

acrew to these power law winners and the

80:24

job of being an investor shouldn't be to

80:25

index a market. Anyone can index a

80:28

market. The job of being a great

80:29

investor is to find those winners. And

80:31

>> the question is how how hard that is or

80:34

easy it is. And I think your list makes

80:37

it sound like, oh, all you have to do is

80:39

wait for these companies to go public.

80:42

>> Sorry, that wasn't my point. Yeah, sorry

80:43

that wasn't my point. It kind of came

80:45

across that way. Yeah, sorry. I was just

80:47

saying that the power law winners

80:48

continue to acrew. In fact, not only do

80:50

they acrew as private companies and then

80:52

you if you get one of them, you you have

80:54

these 14x funds, but as a public

80:57

company, they continue to acrew. And so,

80:59

you know, this isn't just limited to

81:00

being a venture investor. Pretty much

81:02

anyone has access to the public markets

81:05

and can make the decision that they've

81:06

made a bet on a power law winner. There

81:08

were a lot of people who were very vocal

81:10

supporters of Palunteer, very vocal

81:12

supporters of Uber, of Spotify when

81:13

these companies went public and a lot of

81:15

people said no, they're naysayers. I

81:17

think the problem that you would have

81:19

had trying to implement this strategy is

81:20

it would not have been clear what you

81:22

would have been underwriting. What would

81:23

you have been underwriting at Nvidia for

81:26

you know not the last 5 years but the

81:29

many years before then you would have

81:31

been underwriting video games.

81:32

>> Video games. Yeah.

81:34

>> And you would have had this like very

81:36

odd data center business that didn't

81:38

make sense that you know Jensen took a

81:40

lot of heat for that he had to defend

81:43

and it it didn't actually make a lot of

81:45

financial sense. So I I'm not sure.

81:47

>> I will give you a counter to that and

81:48

I'll I'll call him out and I'll make fun

81:50

of him now. My co-founder at Climate

81:52

Corp. His name's Siraj. He's probably

81:53

listening right now. He bought Nvidia

81:55

years ago on the thesis that these GPU

81:58

chips would eventually be used for AI

81:59

models because he did all his work at

82:00

Stanford and distributed computing. He

82:02

did early work in AI. He was very close

82:04

with

82:04

>> That's different than what you were

82:05

saying before. I get it. He's a smart

82:07

guy who made a huge winner. But I'm

82:09

saying

82:09

>> but no, the pro the problem was he sold

82:10

in too soon because he's like, "Oh,

82:12

they're not actually." Okay, but I'm

82:13

just saying like there was probably a

82:14

person that was as smart as Saraj and

82:16

bought Intel. Then there was another

82:17

person that bought AMD. Like I don't I'm

82:19

not sure what the point is. Here's the

82:20

point about venture that I think is

82:22

worth noting.

82:23

>> It's an exceptional

82:26

market that gives the practitioners

82:29

an incredible edge if you build a

82:32

business around the information

82:33

asymmetry that occurs.

82:34

>> Yes,

82:35

>> that you can monetize. After that, the

82:39

only business model is building an asset

82:42

gathering machine to generate fees

82:43

because even the consistency of being

82:46

able to generate these power law

82:49

distributions in successive funds

82:52

doesn't exist. And you can look at all

82:54

of the data. Cambridge has done this. A

82:56

lot of these guys have done this. All

82:57

the big LP fund of funds like Cory

82:59

Bridge have done this. Having a killer

83:02

fund has zero correlation with your

83:05

ability to then have a next killer fund

83:07

as an LP and I showed these returns on

83:09

screen although we blanked out the names

83:11

and I'm in all of them. It is really

83:13

hard to be consistent.

83:14

>> It's hard but

83:15

>> yeah let me make let me make two points

83:17

about this. So

83:17

>> and then I got one closing point make

83:20

>> so first of all Jamath is right that if

83:22

you look at the data the recent data say

83:23

over the last decade or so you don't

83:26

want to be the average venture fund.

83:27

you'd be a lot better off just being in

83:29

the NASDAQ or in some other uh public

83:32

stock market index because a your

83:34

returns would be higher and b you don't

83:36

have the illquidity so you can always

83:38

trade out of it if you want. So it's

83:41

true that you don't want to be the

83:42

average venture fund as an asset class.

83:45

The average is not great. This goes to

83:46

Freeberg's point about the power law.

83:48

You really want to be a top quartile

83:50

fund or even better top decile. And

83:52

that's what LPs are looking for when

83:54

they're underwriting VCs is they want to

83:56

be in top quartile, not the average. So

83:59

I I agree with that point. But the

84:00

second point is that things can change

84:03

very quickly in this asset class

84:05

precisely because of the power law and

84:08

how spiky it is. So just to give like

84:10

one micro example, take Figma. You know,

84:13

we talked about on this pod was a a year

84:16

or two ago when the government held up

84:18

their acquisition by Adobe for $20

84:21

billion and everyone thought that was a

84:23

disaster because people thought that was

84:24

a huge premium to the actual valuation

84:26

and if eventually they now had to go

84:29

public as a result they might IPO at 10

84:31

billion and so it was a big haircut for

84:33

all the VCs. Well, couple years later

84:36

they just IPOed. They had a huge pop on

84:38

the first day. It's come down somewhat,

84:39

but the public market valuation is now

84:42

35 billion. And there's three or four VC

84:45

funds that have made five, six billion,

84:47

7 billion. Yeah.

84:48

>> And those three or four funds are now

84:50

10x funds. So just boom, in the blink of

84:53

an eye with one

84:55

>> outcome like that, it totally changed

84:57

the performance of those funds. And then

85:00

that's going to trickle down the

85:01

performance of the asset class as a

85:04

whole. My guess is that we're in a

85:08

pretty good time for VC because of AI

85:10

and the disruption it's causing and the

85:13

potential for value creation it's it's

85:15

creating. It's sort of restocking the

85:18

pond uh with opportunities for many more

85:22

uh big companies to be created and I

85:23

think ultimately that'll be very good

85:24

for the asset class. I mean just look at

85:26

open AI. I mean, look, we're a long way

85:28

off from Open AI being liquid, and you

85:32

know, you don't want to count your

85:32

chickens before they hatch. But just two

85:34

years ago, on the heels of

85:37

Cha T launching, the company raised

85:39

money at a $30 billion valuation.

85:42

Everyone thought that was crazy at the

85:43

time. Now they're at a $300 billion

85:46

valuation, and there's news reports that

85:48

they're going to raise at 500 billion.

85:51

So, if this keeps running, and again,

85:52

there's a lot of ifs there. I mean, they

85:54

could still lose. They could get

85:55

>> sell 20% is my best advice.

85:57

>> They could still lose to some other

85:58

company or whatever, but it just shows

85:59

you how fast things can change.

86:02

>> I mean, they could be a trillion dollar

86:04

company in a couple years if if the

86:05

trend continues.

86:07

>> So,

86:08

>> so my point is just it it because of the

86:10

power law, it only takes a few big

86:13

winners to to change the economics

86:15

greatly for particular funds and then

86:18

that eventually trickles down to the

86:19

mean. But again, you're right. You don't

86:20

want to be in the mean. You want to be

86:22

top quartortile. There's just two quick

86:23

points I want to make as we wrap on this

86:25

and great episode gentlemen. The first

86:27

is also the wrath of Lena Khan occurred

86:30

for four years. So DPI and exits were

86:33

muted. So that also plays into a lot of

86:36

these statistics. And now since

86:38

President Trump number 47, David,

86:41

we have had a tear of M&A and a ton of

86:44

IPOs, right? That's actually going to be

86:46

probably a big,

86:49

you know, factor in all of this hand

86:51

ringing around venture. But I just want

86:53

to give two anecdotes here. You know,

86:54

when you have the inside information,

86:56

Chimoth, it's worth I think being a

86:58

venture investor

87:00

because of that data you get. And I was

87:03

just always perplexed when I would hear,

87:05

you know, people on CNBC talking about

87:07

Uber and Robin Hood specifically because

87:09

they would be talking, oh my god,

87:10

they're losing so much money. They lost

87:11

a billion dollars this quarter. They

87:13

lost$5 billion last year. And we all

87:16

knew that there would be no difference

87:18

in consumption of an Uber if it was $13

87:21

or $15. And that at any point you could

87:23

just turn the dial and slow growth and

87:26

show profitability. And what happened?

87:28

That's exactly what they did. And I made

87:30

that call and I said this on CNBC like

87:32

is anybody not taking an Uber for a$1 or

87:34

$2 difference per ride? It's like 2% of

87:36

people might stop taking it. Sure

87:38

enough, they did that. Then fast forward

87:40

Robin Hood. Everybody's like, "Oh my

87:41

god, this company is like it's sideways.

87:44

the market's corrected, people are no

87:45

longer trading stocks. And I was like,

87:47

but they keep releasing exceptional

87:49

products over and over again. And that

87:51

was always Vlad's key perspective was,

87:54

we're just going to keep adding every

87:55

product, 529s, 401ks, margin loans,

87:58

crypto. We're just going to keep adding

87:59

products every 6 months and then we will

88:01

be the default place where all your

88:02

finances exist. And when it was at $12,

88:05

I was like, "Oh, well, this obviously is

88:08

undervalued. I'm just going to buy

88:09

more." And now it's at 120. It's like

88:11

one of the best. is a 12 bagger in the

88:13

public markets. So that reason alone, if

88:15

you just have enough surface area and

88:17

enough patience, you're going to hit

88:18

Robin Hood, Uber, like I did when

88:21

they're tiny companies and then you're

88:22

going to get to have all that

88:23

intelligence into the public markets,

88:25

which is why I started doing public

88:26

market investing because I could just

88:27

see all these very clear opportunities

88:29

where things were obviously undervalued.

88:31

It was just like so obvious.

88:34

>> Well, when you talk about service area,

88:35

what you're talking about is

88:36

diversification.

88:37

>> Yes.

88:38

>> Right. But the way Freeberg just showed

88:40

us the winners

88:42

>> cherry picking. Yeah.

88:43

>> Yeah. And that's that's kind of my point

88:45

is it looks really easy when you just

88:47

look back over the last 10 years and

88:48

pluck out

88:49

>> the winning companies and the winning

88:51

funds and the winning asset classes. The

88:53

question is Xanti. How do you create

88:55

enough diversification to get exposure

88:57

to that? And that is why venture is

88:59

still a popular asset class is because

89:02

it is very spiky and you do want to be

89:04

in those power law funds and power law

89:06

companies

89:07

>> and it might be a percentage like the

89:09

percentage might change. Maybe you know

89:11

Yale wanted to get to 25% or whatever

89:13

and maybe the right number is 15. It

89:15

could change over time based on your own

89:17

individual needs. I still think it's

89:18

magical asset class. Chamop you want to

89:20

wrap us up? I did that job for seven

89:22

eight years with

89:25

outside capital and now the last seven

89:27

eight have been entirely my own. The

89:30

differences I would say is that it's

89:33

much much harder to run a very

89:36

successful venture firm in my

89:37

experience. It's much easier actually

89:40

>> to be concentrated

89:42

and to use the information asymmetry in

89:44

your favor. It is an exceptionally

89:46

difficult job to be a successful fund

89:48

manager like what you guys do I think is

89:50

extremely extremely hard and to be of

89:51

that quality.

89:54

>> Well, we both started we both started

89:55

our own firms that just increases the

89:58

degree of difficulty because you have to

90:00

build a team you have to build an LP.

90:02

>> So if I could if I could own pieces of

90:03

the GP of both of you I would. But as a

90:07

person today I would not start my own

90:09

fund. It's just very difficult.

90:11

>> Well it's it's a very competitive

90:12

industry and there is a lot of capital.

90:14

very competitive.

90:15

>> It's super competitive.

90:15

>> But I would also say that

90:18

>> and that's the supply of capital. If you

90:19

look at demand for capital, I do think

90:21

that there is more legitimate demand for

90:23

capital now than there has been in a

90:25

long time because there's this new, you

90:28

know, you've got this incredible

90:30

>> real businesses want to be funded. I

90:32

agree with that.

90:32

>> Well, there there was a I think there

90:33

was a feeling, you know, 5 years ago,

90:36

let's say, where all the big platforms

90:38

were getting a little bit long in the

90:40

tooth. you know, social, mobile, cloud,

90:42

SAS. It felt like again that the the

90:46

pond had been fished out a little bit.

90:48

>> Yeah.

90:48

>> And you need a big you need a big

90:50

disruption to to again to restock the

90:52

pond. And I just think that

90:54

>> AI is the mother of all disruptions and

90:56

it's creating a lot of opportunity.

90:58

>> All right, everybody. This has been

90:59

another amazing episode of the AllIn

91:02

podcast for your Sultan of Science,

91:04

David Freeberg. Yours are David Saxs.

91:07

Civil servant David Saxs doing the work

91:09

for the American people. And for our

91:11

chairman dictator,

91:14

>> I am

91:15

>> the world's greatest moderate. Jason's

91:18

greatest moderate.

91:20

>> Love you guys.

91:22

[Music]

91:23

>> Let your winners ride.

91:26

[Music]

91:30

>> And it said we open sourced it to the

91:32

fans and they've just gone crazy with

91:34

it. Love you. Queen of

91:38

[Music]

91:40

>> your

91:43

besties are gone.

91:46

That is my dog taking a notice in your

91:48

driveway.

91:51

>> Oh man, my dasher will meet me at

91:54

>> We should all just get a room and just

91:55

have one big huge orgy cuz they're all

91:57

just useless. It's like this like sexual

91:59

tension that we just need to release

92:00

somehow.

92:03

be wet your feet or feet.

92:07

>> We need to get merch.

92:10

[Music]

92:16

I'm going all in.

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