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SpaceX-Cursor Deal, SaaS Debt Bomb, New Apple CEO, SPLC Indictment, Colon Cancer Spike

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SpaceX-Cursor Deal, SaaS Debt Bomb, New Apple CEO, SPLC Indictment, Colon Cancer Spike

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2790 segments

0:00

Jason, you are the unique person that is

0:02

at the intersection of both the

0:05

and the SPLC files. Do you have

0:07

[laughter] a comment?

0:08

>> Do you have a comment, Jason?

0:10

>> in the SPLC files. I

0:11

>> Yes, you are. You're adjacent to the

0:13

vice president. You're SPLC adjacent and

0:14

you're

0:15

What does that mean? In the Venn diagram

0:17

>> Thank you, though, for putting me in the

0:19

crosshairs of all the losers.

0:20

>> He's got a I got a really good way to

0:22

select. I mean,

0:23

>> There's a reason why I'm carrying this,

0:24

guys. It's because the people

0:27

>> What the [ __ ] is going [laughter] on?

0:29

>> THERE'S A REASON WHY I CARRY a stiletto

0:31

and a P35.

0:33

>> What the [ __ ] are you doing? [laughter]

0:35

>> There's a reason. If you want to jump

0:36

the fence, feel free.

0:39

>> [laughter]

0:39

>> J CAL IS READY.

0:47

>> YOU LET YOUR WINNERS RIDE. [music]

0:50

>> RAIN MAN David Sacks

0:54

>> And I said, "We open-sourced it to the

0:56

fans and they've [music] just gone crazy

0:57

with it."

1:02

>> All right, everybody, welcome back to

1:04

the greatest podcast in the universe,

1:07

episode 270 of the All-In podcast, your

1:10

podcast for your favorite podcast. With

1:12

me again, your sultan of science, David

1:14

Friedberg, the dick

1:17

tater, Chamath Palihapitiya, and yeah,

1:21

the Rain Man is back. Yeah, it's

1:22

definitely David David Sacks. He's

1:25

definitely in DC with a with POTUS,

1:27

yeah. POTUS lets him drive in the

1:29

driveway. Uh Sacks, what's going on? You

1:32

you pushed back, you big-shotted the

1:34

entire crew, and pushed the show back an

1:36

hour.

1:36

>> Simple text. He's like, "With POTUS."

1:39

>> Start unbelievable.

1:41

>> Start later.

1:42

>> Okay, we'll just wait. Okay, Daddy. Look

1:44

at him. All right. All right, big shot.

1:47

What's going on?

1:47

>> No, look. I was in DC today and I was at

1:51

the White House and

1:53

I just asked if the president had time

1:55

and he made time. And we had we did have

1:57

a little meeting and so we did push back

1:59

the pod for that. One thing I just want

2:01

to say is just what a pleasure he is to

2:04

deal with. You know, when I read in the

2:06

media, they're always describing him in

2:08

a certain way that you know, he's

2:10

yelling at people or he's moody or or

2:12

something like that and that's never

2:14

ever been my experience with him. He's

2:15

always pleasant to be with. He's always

2:18

genial.

2:19

>> Super charming.

2:19

>> questions. He's interested in the

2:21

subject matter.

2:22

It's just a completely different

2:23

portrayal. I don't get where the media

2:25

is coming from at all on this.

2:27

>> He's charming AF.

2:28

>> Totally. Totally.

2:30

>> He's charming.

2:30

>> maybe if you double-crossed him, maybe,

2:32

I don't know, but I've just never seen

2:34

any evidence of of how they describe him

2:36

at all. And I think on our issues of AI,

2:39

I think we're really lucky that he's the

2:41

president who's in the White House when

2:43

this AI revolution is happening.

2:45

>> I mean, doing alt history, Sachs, what

2:46

would happen if Kamala ding-dong was in

2:49

right now and we'd have like no data

2:50

centers?

2:51

>> We'd have no data centers and they'd be

2:53

using AI to censor us and they'd be

2:55

promoting DEI values through AI. That

2:57

was in the Biden executive order.

3:00

President Trump just wants the country

3:01

to win and be successful and he doesn't

3:04

have these like doomer neuroses about

3:06

it. That's not to say we don't support

3:09

any regulation at all, but we should

3:11

have specific solutions for specific

3:14

problems as opposed to being cowering in

3:16

fear over this and just trying to halt

3:18

all progress. And I think a really good

3:20

example of that was his idea around data

3:22

centers where he said over a year ago

3:24

before data centers even became a hot

3:26

political topic, that we should let our

3:28

AI companies stand up their own power

3:30

generation behind the meter. And that's

3:32

a much better approach than the Bernie

3:33

Sanders approach of just shutting

3:34

everything down. So, I don't know. I

3:36

think we're like very fortunate that

3:37

he's the president during this critical

3:39

time in development of this technology.

3:41

And like I said, he's always been

3:43

interested in it. He talks a lot of

3:44

business leaders. I'm always actually

3:46

very impressed with what he already

3:47

knows. He listens to like all the the

3:50

guys in the industry and he synthesizes

3:52

what he hears. I think he's very good at

3:53

that.

3:54

>> He was talking about the Anthropic guys,

3:55

and he was like, "These are brilliant

3:56

guys." And he was like, "Giving the

3:58

flowers to them and how genius they

4:00

were, and that they were working on a

4:01

deal." Any insights there about the

4:03

relationship between the White House and

4:06

Anthropic?

4:08

>> I thought what he said was very balanced

4:09

and accurate. Like you said, he said

4:12

that they were very smart guys. They do

4:14

have a great product. I've certainly

4:16

acknowledged that. He also said that

4:17

they were very left-wing, but that was

4:19

something we could work through.

4:21

>> Hm.

4:21

>> Didn't have to [clears throat] be a deal

4:22

killer. He said they tried to tell the

4:24

Pentagon what to do, which the Pentagon

4:26

didn't like. But in any event, I mean,

4:27

look, he wants American companies to be

4:30

successful, and he he I think genuinely

4:33

really does like high-IQ people. I mean,

4:36

he says it all the time, and people

4:37

think he's joking, but I actually think

4:38

it's like one of his core convictions is

4:40

he just really likes smart people. He

4:42

likes being around smart people.

4:44

>> Loyal people, smart people, people who

4:46

are good on camera seem to be the three

4:47

circles. And hey, Sachs, you fall into

4:50

two of the three. [laughter]

4:51

Uh all right.

4:52

>> I thought the audience would bring it

4:53

that out.

4:54

>> Uh topic one,

4:56

SpaceX has signed a huge deal with

4:58

Cursor.

4:59

You know Cursor, that's the AI coding

5:01

startup. Really, they they they defined

5:03

the category. XAI and Cursor are

5:05

building and collaborating on a new AI

5:07

coding model that would, quote, be the

5:11

world's best coding and knowledge work

5:13

AI. Here's the deal as it's been

5:15

explained. SpaceX will either buy Cursor

5:18

by the end of 2026 for $16 billion.

5:20

That's $10 billion more than they were

5:22

rumored to be raising at, or they will

5:24

pay Cursor $10 billion for their

5:27

collaboration together. Bloomberg says

5:29

you can think of that $10 billion

5:31

essentially as a breakup fee. So, I

5:33

think it's fait accompli that this deal

5:36

is going to get done.

5:37

Cursor's run rate, $2 billion at the end

5:39

of February. This is a money-printing

5:41

machine. They expect to end 2026 with a

5:44

$6 billion dollar rate. They're going to

5:46

triple it. SpaceX projected revenue

5:49

between 22 and 24 billion in 2026. So

5:52

this is quite accretive to the revenue

5:55

story at SpaceX at the IPO of SpaceX,

5:58

which is now targeting a valuation of 2

6:00

trillion.

6:01

Which would be trading at roughly 80

6:03

times top line revenue, which is a, you

6:06

know, people would say it's a high

6:07

valuation, but also commensurate with

6:09

the opportunity. Cursor's valuation

6:11

would be 30 X. So this is a good deal, I

6:13

think, for everybody at the end of the

6:15

day. Cursor started, I think, built off

6:18

of Anthropic's LLM. You could use any

6:21

LLM previously on it, but in March

6:23

Cursor released the second version of

6:25

their proprietary model, Composer 2. And

6:29

uh here it is. It's It's ranked pretty

6:31

high right now. It's between uh GPT-4

6:33

5.4 and Opus 4.6, as you can see on the

6:36

screen.

6:37

The key part of the story here

6:40

is that Elon has 550,000

6:43

GPUs in Colossus. He's scaling up to 1

6:46

million, and then of course he's going

6:47

to bring it to space. So if you believe

6:50

that infrastructure matters, and it's

6:52

pretty clear it does, this is incredible

6:55

for Cursor, who has been compute

6:57

constrained. So this is peanut butter

6:58

and chocolate. If you put these two

7:00

together, I predict that this is going

7:03

to move

7:05

Space X X XAI and Cursor to the front of

7:09

the coding leaderboard within 12 months.

7:12

That's my prediction, Chamath.

7:14

>> Shareholder in SpaceX via the

7:17

acquisition of the Starlink company that

7:21

you were a backer of. What are your

7:22

thoughts?

7:22

>> The acquisition was essentially

7:24

negotiated, and the way that it's

7:26

structured is so that the S-1 doesn't go

7:29

stale. So I think the way that it was

7:31

announced has more to do with the fact

7:33

that they don't want to slow down and

7:35

have to rewrite parts of the S-1, have

7:38

to redo the disclosures, um

7:41

have to redo the risks. and so I think

7:43

what you're going to see is that this

7:45

will get done. In fact, the deal is

7:47

effectively done.

7:49

But what's so smart is that where is

7:51

SpaceX today? Let's call it

7:53

a trillion.

7:55

Where could it be?

7:57

Just for the purpose of this argument,

7:58

let's say 2 trillion. So when the deal

8:01

gets done on a stock for stock basis,

8:03

it's going to be if again, if it's 60

8:05

billion in tomorrow dollars,

8:09

effectively Elon's gotten a 50%

8:11

discount. And what has he bought? He can

8:12

issue a 60 billion dollars of stock at a

8:14

2 trillion dollar valuation and get a

8:16

model and a service that I think is

8:20

extremely compelling in coding, which is

8:22

where we know all of the immediate and

8:24

short-term revenue gains are. It's also

8:27

patterns that are hard-fought and are

8:29

really valuable in reinforcement

8:31

learning. He gets all of that. And then

8:33

he gets a very cracked team, which, you

8:35

know, we've known for a while that the

8:36

cursor team is absolutely excellent. If

8:38

you look at the Grok usage, it shows

8:42

why he had this excess capacity. There

8:44

was a moment where Grok had a very steep

8:47

and very aggressive discount on their

8:49

output tokens.

8:50

And in that moment, there was just a lot

8:51

of experimentation and usage. And over

8:54

time, that sort of

8:56

went away.

8:58

So there was a lot of capacity and

9:01

relatively low utilization, I think,

9:03

inside of Colossus that he was able to

9:05

turn around, jujitsu move the whole

9:07

thing, and basically acquire the most

9:09

interesting and valuable third-party

9:12

wrapper service in AI right now. So, and

9:15

the fact is that they got it

9:16

effectively, I think, at this price for

9:17

30 billion.

9:19

So I think it was a really good deal,

9:20

really smart deal.

9:21

>> Sacks, your thoughts if you want to

9:23

unpack it a bit. Under the framing, I

9:25

think it's be interesting for you.

9:28

If we were sitting here 3 years ago, the

9:31

Biden administration didn't invite Elon

9:34

to

9:35

the EV summit, and the SEC, and other

9:38

organizations, Delaware, they were

9:41

explicitly involved in lawfare. They

9:42

were trying to put Elon in prison, and

9:44

here we are, the most important company

9:46

in the history

9:47

of the United States, SpaceX AI and

9:51

Tesla, now on the verge of just creating

9:55

the greatest products in the history of

9:57

humanity between SpaceX,

9:59

clusters in space, and Optimus. Your

10:01

thoughts?

10:01

>> Well, you're right. I do remember a

10:03

press conference where Biden said we got

10:04

to look at the sky. And so, on the heels

10:06

of that, the DOJ brought a a lawsuit

10:10

attacking the company for not hiring

10:11

enough asylum seekers. Remember that?

10:14

>> SpaceX, which they can't under ITAR.

10:16

>> They couldn't, exactly, under ITAR.

10:18

Anyway, that's all ancient history, so

10:21

let's let's put that behind us. Look, I

10:23

I agree with your guys' analysis on

10:25

this. I think these two companies are

10:26

are very complementary. Cursor,

10:28

obviously, is very strong in coding.

10:32

And that's what it brings to xAI. xAI

10:35

brings compute, and they bring a

10:37

foundation model. And the problem that

10:39

Cursor had is that even though coding is

10:42

kind of like the white-hot area of AI

10:44

right now,

10:46

when it got started, it was really

10:48

competing against generalists in the

10:50

form of Open AI and Anthropic. But now

10:52

those generalists have decided to

10:53

vertically integrate in this area of

10:55

coding, right? And so, Cursor's now

10:58

competing against Quad Code and Open

11:00

AI's Codex. And so, they were dependent

11:03

on foundation model companies that were

11:04

getting in the business of competing

11:06

with them, which was just not a good

11:07

place to be, right? So now, they have

11:09

this new alliance with a different

11:11

foundation model company, which also

11:13

brings the compute. Just makes a lot of

11:14

sense, and then they bring Cursor brings

11:17

to xAI

11:19

the training data,

11:20

a lot of enterprise clients, and the

11:23

experience in coding. And I think this

11:25

will accelerate xAI in this area.

11:27

>> Sacks, you think they're going to dump

11:29

Kimmy K2

11:31

.6?

11:32

Cuz I think Cursor Composer 2 uses the

11:35

Moonshot model. There's no reasonable

11:37

way that Elon's going to pay $60 billion

11:39

and not run on top of Grok. I got to

11:41

think.

11:41

>> It seems like it.

11:42

>> Yeah.

11:42

>> Likely, but I don't know.

11:43

>> I think it might be tough depending on

11:45

the the users. One of the things that

11:47

makes Cursor so good is

11:48

>> wait. Say Say more on that. What do you

11:49

mean?

11:50

>> So, I think that the different

11:52

developers

11:53

want to have choice in that sense.

11:54

There's a toggle. So, one of the things

11:56

that's really good about Cursor is

11:57

they've got this very well-built out

11:59

IDE, this application layer that puts

12:02

them probably from a UX perspective,

12:05

meaning developers are using the tool

12:07

above Codex, above Claude, above

12:11

anything else. You can use a third-party

12:13

IDE and integrate the models or

12:16

integrate whatever other third-party

12:18

service you're using. But I would

12:19

imagine that the developers are going to

12:21

want to

12:23

continue to have at least some choice on

12:25

what's actually writing the code for

12:26

them. The thing that people are waking

12:28

up to in the last 120 days

12:30

is just how much of the value of AI is

12:35

being realized by writing software. And

12:38

we've kind of got this wrapper term we

12:39

call it agents. But agents are

12:41

fundamentally just quickly spun up

12:43

applications.

12:45

But for all of them, as we're realizing

12:47

very quickly, you end up making too many

12:48

agents. They end up being super

12:50

inefficient. They need to be engineered.

12:52

And you still need to have a strong

12:53

software engineering capability and

12:55

competency to fix all the agents, to

12:57

build all the harnesses, to make

12:59

everything work well together. And

13:00

that's why having a strong developer

13:02

environment, a strong IDE, actually

13:05

solves that biggest problem. So,

13:06

eventually all the enterprises that are

13:08

getting hot and heavy on agents are

13:09

going to be like, "Whoa, wait a second.

13:11

We've actually got to fix how this is

13:12

all being done." As we saw this week in

13:14

that story with Amazon, where there's

13:16

like a million agents being spun up

13:17

inside and everything's wasting

13:18

resources, redundant data creation,

13:21

redundant data stores, redundant API

13:23

calls, et cetera. Tons of money being

13:25

wasted. So, you have to centralize

13:27

still. You have to have good software

13:28

engineering talent that's making good

13:30

infrastructure and good use of these

13:32

agents. And that ultimately will require

13:34

an integration of the AI tooling with a

13:37

standard software engineering front end,

13:39

which is the IDE that Cursor has. So, I

13:41

think that that's probably where

13:43

everyone's waking up to the fact that

13:45

having the the software engineers

13:48

may end up winning you the arms race

13:50

here. And seems pretty smart for Elon to

13:52

buy Cursor.

13:53

>> One other piece of it, you mentioned K

13:54

me uh K2.6. Yeah, I mean, so I think

13:58

that one of the things that's going to

13:59

become a priority over the next several

14:00

months is this idea of optimizing

14:03

because enterprises token bills are

14:05

going through the roof right now. I

14:07

mean,

14:08

this month over month they're spending

14:10

increasingly large amounts because their

14:12

employees are just building more and

14:13

more software, but I'm not sure that

14:15

anyone's been incentivized yet to be

14:17

efficient about it. And it really only

14:19

makes sense to go to a frontier model

14:22

for a frontier task, but more mundane

14:24

things can be done using an open source

14:26

model or less expensive model. And I

14:29

think like you're saying, whether it's

14:30

the IDE or something else, there needs

14:32

to be some sort of

14:33

middleware that determines which model

14:35

you go to and how much you're willing to

14:36

spend and what the most efficient way of

14:39

getting the tokens is going to be.

14:41

>> I am deep in playing with XAI's suite of

14:44

products and I would predict

14:47

we're going to be sitting here in 6 to

14:49

12 months and they are going to be

14:50

dramatically dramatically improved.

14:53

>> Let me just flag one other area that I

14:55

think is maybe the white-hot center

14:58

within this red-hot area of [snorts]

15:00

coding,

15:01

which is cyber.

15:02

And I think Mythos has kind of woken

15:04

everybody up to the potential of

15:07

frontier models to be a weapon that can

15:11

be used by either cyber offense or cyber

15:14

defense.

15:15

Now, the issue with Mythos is that it's

15:17

very large and expensive. It's something

15:19

like a 10 trillion parameter model. And

15:21

there's a lot of reports that Anthropic

15:23

just doesn't have enough compute to be

15:24

able to serve it. I'm not sure it was

15:25

ever built to be a commercial model, to

15:27

be honest, because I just think it's so

15:29

big and expensive, but

15:31

I think what will happen is

15:33

these companies will start training

15:34

dedicated cyber models.

15:36

They'll say Mythos comparable models,

15:39

but with a lower token cost, and

15:42

I think there's a real race on right now

15:44

to get those products to market, because

15:46

I think IT departments and CISOs are

15:48

very worried about the risk of hacks

15:51

right now, AI-powered hackers. So, this

15:54

is something I think over the next 3-6

15:56

months will be, again, this maybe the

15:58

hottest part of the market.

16:00

>> Polymarket says all of this is fake.

16:03

Complete SpaceX acquiring Cursor, 74%

16:06

chance. SpaceX IPO by the end of August,

16:10

80% chance. So, this is happening,

16:12

folks.

16:13

All right, let's keep it moving.

16:15

>> I think that deal structure is smart,

16:16

because, I mean, to Chamath's point,

16:18

yeah, it prevents the IPO process from

16:20

being disrupted. Also,

16:22

it kind of gives a huge motivation to

16:23

these Cursor guys to bust their ass and

16:25

make it work over the next, I don't

16:26

know, 6 months. Yeah, they have a $10

16:28

million break-up fee, but I'm sure they

16:29

want the deal to be successful.

16:31

>> Well, the $10 million break-up fee will

16:32

go back to SpaceX anyways, because if

16:35

they actually run the compute and

16:37

they're not owned by SpaceX, they're

16:38

going to have to pay for it. That is not

16:40

cheap.

16:40

>> I mean, we saw a bunch of these

16:42

xAI co-founders leave after the

16:44

acquisition by SpaceX. I don't know if

16:46

that was the reason why, but, you know,

16:48

all of a sudden they're sitting on

16:49

SpaceX stock, and they may have felt

16:51

like

16:52

they had it made, you know?

16:53

>> Well, it's actually

16:54

>> always a problem. It's always a problem

16:56

with with M&A.

16:57

>> This Cursor thing came about pretty

16:59

quickly, because

17:01

Okay. Let's just say friends of ours who

17:03

were supposed to wire into that round

17:05

were like, "Where's the wiring

17:06

instructions?" It all just evaporated.

17:09

Here's a tweet from Elon. We don't have

17:10

to um speculate too much. Here's Sachs.

17:14

He was very clear that uh xAI wasn't

17:18

um built right the first time around.

17:19

The quote, "XAI was not built right

17:21

first time around, so is being rebuilt

17:24

from the foundations up." Same thing

17:26

happened with Tesla, and uh that tweet

17:28

is from

17:30

about 5 weeks ago.

17:31

>> How crazy is it then when he tweets he

17:32

gets 50.8 million views?

17:35

>> It takes the four of us 7 months to get

17:38

50.8

17:40

>> our collective

17:42

>> It's unbelievable the distribution he

17:43

has.

17:44

>> Well, also, how many CEOs would just

17:46

fess up like that and say, "Yeah, that

17:47

we didn't do it right the first time and

17:48

now we're rebuilding it." I mean, most

17:50

of them are not willing to say that.

17:52

>> He's a magnet for talent. He's a magnet

17:53

for the right kind of talent, and the

17:55

SpaceX talent has his philosophy. He

17:58

inherited, I think, a lot of

18:00

you know, maybe uh people for XAI or for

18:03

Twitter that were not in his mold, and

18:06

they're clearly getting aligned. And

18:09

it's also going to make his day-to-day

18:10

life much easier when all of these

18:12

things are occurring in the same

18:14

building with the same team. The

18:15

continuity of not having to task switch

18:17

between companies is going to be great.

18:19

We talked a little bit about the

18:20

possibility of Tesla and SpaceX merging.

18:22

>> Even Walter Isaacson now is on the Tesla

18:25

SpaceX merger train.

18:26

>> Mm, there you go.

18:28

>> He just did a pod.

18:28

>> Everybody's confirmed it. It's going to

18:30

happen. We called it here first.

18:32

>> Okay, topic two. Is there a SaaS debt

18:35

bomb in private equity?

18:37

Thoma Bravo, we had Orlando Bravo at the

18:40

fourth All-In Summit last year, is

18:43

nearing a deal

18:45

to hand its company Medallia over to its

18:49

creditors. This is a SaaS

18:51

for customer experience company. TB

18:53

acquired them in 2021 for 6.4 billion

18:57

all cash

18:58

at the top of the market.

19:00

As part of the deal,

19:02

they incurred 3 billion in debt, and for

19:04

background in 2021, this company had 470

19:07

million in revenue growing 20% a year.

19:10

Earlier this month, Bloomberg reported

19:13

that TB's debt servicing costs for

19:15

Medallia were about to triple from a

19:18

hundred million a year to three hundred

19:20

million a year. Blackstone and other

19:21

firms refused to extend

19:24

a lifeline to the company to the SAS

19:26

company. So, it looks like Thoma Bravo

19:28

just handed the keys back and wiped out

19:31

5.1 billion in equity. Chamath, your

19:33

thoughts? We've been talking about the

19:35

SAS headwinds for a bit. You've been

19:36

quite vocal about it.

19:38

>> Well, first of all, I think Thoma Bravo

19:40

is an unbelievably well-run

19:43

organization. Their returns are bonkers,

19:45

and Orlando is

19:47

really, really, really good investor.

19:49

So, what do I think happened?

19:53

I suspect that they probably got enough

19:56

of their equity, if not all of their

19:58

equity.

19:59

There's probably a decent chance that

20:01

they did at least one or two dividend

20:02

recaps in the last five years.

20:05

And if I had to guess, I suspect that

20:07

they are

20:09

positive return. It may not be the

20:10

return that they would want. And so,

20:13

turning the keys over becomes easier cuz

20:14

you have to remember,

20:16

in private equity, the entire playbook

20:18

is for transformations of assets that

20:21

are at some point not working.

20:24

Right? It's very rarely that they're

20:26

buying the same kinds of businesses that

20:27

the four of us would buy, which is just

20:29

sort of this, you know, clean white

20:31

sheet de novo grow at all costs kind of

20:34

business. So, they have operating

20:36

partners and all of these other people

20:37

waiting in the wings

20:39

to un-

20:40

situations. That's the whole playbook.

20:43

Mhm. So, to turn it over, I suspect

20:46

means that there is a core rot

20:48

that people couldn't fix combined with

20:52

the fact that they have probably gotten

20:54

enough downside protection that it's not

20:56

a huge thing for them. Now,

20:58

this is an issue for the bondholders,

21:00

and then that'll maybe flow through to

21:02

the borrowing costs that Thoma Bravo has

21:04

to pay maybe for a a

21:05

deal. I don't know, but I doubt that

21:08

they would just walk away from a

21:09

business. So, I suspect they probably

21:11

got most of their money out.

21:12

>> I don't know if that's true. There was

21:14

someone that published some internal

21:16

data showing

21:17

that the sales team was like 18% of

21:20

target at Medallia.

21:22

You guys know what this company does?

21:23

Medallia?

21:24

>> Customer support is the general arena

21:27

and customer experience.

21:28

>> Customer experience management. I don't

21:30

know what I don't know what that means.

21:32

>> Yeah, they'll basically send like you go

21:33

on Caribbean cruise ships and you get a

21:35

survey afterwards and then they use that

21:36

survey data to provide management

21:39

insights and operational insights to the

21:41

leadership team and the operating team

21:42

on how to improve the quality of their

21:43

product or their service. So, it's sort

21:45

of like this feedback surveying loop.

21:47

So, if I were to tell you guys, "Hey,

21:49

you want to

21:50

build a feedback surveying loop to run

21:51

your business better, are you going to

21:53

buy SaaS today or you going to ask your

21:55

AI to spin up an agent for you to do

21:57

that?" And I think that's a big part of

21:59

what's happened is all these sorts of

22:00

companies where the alternative to

22:03

buying a SaaS product is to spin

22:05

something up internally and it's much

22:07

cheaper and easier to spin it up

22:08

internally. You get a custom workflow.

22:10

>> I agree with that. But, I'm just saying

22:11

in the last 5 years, you think they sat

22:13

on their hands and didn't take a dollar

22:15

out? They're not that dumb.

22:17

>> Maybe they took cash out, maybe they

22:18

didn't, but there was still a big debt

22:19

overhang and the debt's clearly

22:21

um gotten impaired, which means the

22:23

equity

22:24

>> The debt holders The debt holders are

22:26

clearly screwed here.

22:27

>> Yeah.

22:27

>> The question is is Thoma Bravo screwed?

22:29

And I would say, if you sat around for 5

22:31

years, they're That's not their style.

22:32

They generate too much money. They're

22:34

too good.

22:35

>> So, they may have taken cash out and

22:36

covered some of their their costs, but

22:38

the equity got fully impaired and then

22:39

the debt is clearly impaired cuz you can

22:41

see how the debt and

22:42

the uh CLOs are trading, which indicates

22:45

that this business is just not doing

22:47

well. And then someone else on Twitter

22:48

posted some internal information from

22:51

Medallia saying the sales team is just

22:53

not hitting their targets. They're like

22:54

way, way off their sales targets. Which

22:57

I think speaks to the underlying problem

22:59

here.

22:59

>> Yes.

23:00

>> Which is that all of these

23:01

>> that. Yeah, yeah, please. Yeah, so the

23:02

underlying problem is that these

23:04

businesses in the SaaS space where

23:06

you're driven by net new sales every

23:08

year, how many new customers are you

23:10

signing up and then you're trying to

23:11

manage retention and you're trying to

23:13

increase sell-through and retain

23:14

customers, they're just having a really

23:16

hard time sourcing new customers and

23:18

there's probably higher than model

23:19

attrition. That's right. And when you

23:20

have a very kind of typically

23:21

historically predictable business where

23:24

you can say, "Hey, I've got a net

23:25

revenue retention of 118%

23:27

or what have you, meaning I'm I'm

23:29

selling into my install base by 18% over

23:32

what I'm making last year and then I'm

23:33

signing up new customers,

23:35

you can lever that business, right? You

23:37

can borrow money against those cash

23:39

flows because it becomes predictable.

23:41

And what's happened in the last year in

23:42

particular is agents have become so good

23:45

and so fast and so cheap that many

23:48

enterprises can simply spin up an

23:50

alternative to a vertical SaaS solution

23:52

and that's crushing the sales team's

23:53

ability to sell in. That's who you're

23:55

competing against. Now, I want to make

23:57

one point and just link this with

23:58

something else that happened this week

23:59

and that's Kevin Warsh's hearing

24:02

for Fed Reserve chair.

24:03

Kevin Warsh went and talked a lot about

24:06

the deflationary effect of AI. And I

24:08

actually think we all talked about the

24:10

SaaS apocalypse as if it's the sort of

24:12

like isolated business phenomenon where

24:14

these SaaS companies are getting blown

24:15

up. I think another lens to look at

24:17

what's going on is the incredible

24:20

deflation of how much it costs to

24:22

successfully run a business and you

24:25

don't have to pay a premium price for

24:27

SaaS products anymore. Meaning that that

24:29

piece of the business can suddenly get

24:31

much cheaper. That AI is delivering on

24:34

its deflationary promise. I'll just say

24:37

one thing about what Warsh said. Warsh

24:39

spoke a lot about the deflationary

24:41

evolution promised by AI and that he

24:43

expects that it will drive productivity

24:45

growth like we've never seen before. But

24:47

he said, "I don't know what that's going

24:48

to do to the job market that there may

24:50

be a dislocation between that

24:51

productivity growth being realized and

24:54

how the labor markets are going to be

24:56

able to respond to those things. But

24:58

fundamentally, he's saying that we're

25:00

going to see economic deflation. The

25:03

problem with economic deflation is that

25:05

when it occurs, it means some business

25:07

is seeing their revenue go down. And if

25:09

that segment of the economy is levered,

25:12

if they have debt sitting on top of that

25:14

piece of the economy where it's supposed

25:15

to always, always, always grow, like a

25:17

SaaS company's top line is always

25:19

supposed to grow, suddenly that debt

25:21

gets impaired, and that can have an

25:22

economic ripple effect that is adverse.

25:25

But what he's pointing out is that as a

25:26

result of deflation, because it's not

25:29

coming from some cost cutting or

25:31

economic contraction, what he's saying

25:33

is that the deflationary forces

25:35

ultimately lead to economic expansion

25:37

because other parts of the economy will

25:39

now grow. So if I can suddenly cut, you

25:42

know, call it 50% of my SaaS budget, and

25:44

I can reinvest that capital in other

25:46

ways of growing my business instead of

25:48

managing my expenses, all of a sudden my

25:51

enterprise will grow, and the economy

25:53

will grow. He also said, just as an

25:55

aside, and I want to make sure I cover

25:57

this so so that we're really clear, he

25:59

said the way that we've been measuring

26:00

inflation is wrong. And that he doesn't

26:02

agree with the way the Fed has been

26:03

measuring inflation because you can do a

26:05

survey of any household and they'll tell

26:06

you, "My god, everything's so

26:07

expensive." So all of the indices and

26:09

[ __ ] that are being used to

26:11

calculate an inflation index is

26:13

completely misrepresenting what the

26:14

average American is actually feeling.

26:16

And so he wants to rethink how the Fed

26:18

is addressing inflation from an interest

26:20

rate perspective, but he does think that

26:22

the overall kind of economic picture is

26:24

one of deflationary pressure and

26:26

productivity gains coming out of AI.

26:28

>> Sacks, I'll I'll drop this off to you. I

26:30

think it's pretty clear what's happening

26:32

here is that the loss SaaS's loss is the

26:35

token dealer's gain, right? And startups

26:38

are now, and we always see that they're

26:40

the tip of the spear. They're writing

26:42

their own tools, they're making their

26:43

own dashboards. I see that every day.

26:46

And if you look at the SaaS product

26:47

index, here it is. Salesforce down 32%

26:52

uh in the past 6 months. Shout out to

26:54

Bestie Benioff, best guest we've had on

26:56

SaaS at the summit. ServiceNow down 54%,

26:59

Snowflake down 43%, Adobe down 33%, and

27:01

Figma, which had a huge IPO pop

27:05

and is now down 67%.

27:08

So, what is the role of venture capital

27:11

and then private equity in addressing

27:14

the software market? Software was eating

27:16

the world. Now tokens are eating

27:18

the SaaS business and the software

27:20

business, yeah?

27:21

>> Well, I'm of two minds about this. I'm

27:23

going to talk about the opportunity for

27:25

private equity.

27:27

Let me just say backing up that

27:29

historically we only had two good exits

27:31

for software businesses. One was IPO,

27:34

the other was M&A. And then these big

27:36

private equity shops came along and gave

27:37

us a third potential exit, which is you

27:40

would sell to them

27:42

and then they would raise the capital

27:43

based on, I don't know, 1/3 equity and

27:45

2/3 debt. So, it was debt-financed

27:47

buyouts, which is something that's been

27:49

around in let's call it the non-tech

27:50

part of the economy for a long time, but

27:53

was a relatively new entrant into the

27:55

world of technology. And the reason for

27:57

that is that if you're going to

27:58

debt-finance a purchase, you need to

28:00

have very stable cash flows

28:01

because if you miss

28:03

if your cash flows miss and you can't

28:05

pay your interest on the debt then

28:07

you're going to lose all your equity

28:08

because the debt holders will foreclose.

28:10

So, in order to do a debt financing of

28:13

any kind, you have to have very

28:14

predictable cash flows. And it was

28:16

believed for a long time that software

28:18

did have those predictable cash flows,

28:20

at least for the mature businesses, the

28:22

ones that were at the stage where they

28:25

could IPO as a potential alternative.

28:27

So, it was a very attractive thing. I

28:29

Like I said, I think it was great to

28:30

have that third option. I I'm of two

28:32

minds about where the private equity

28:35

business is today. On the one hand

28:37

the pricing now has got to be super

28:40

attractive for them. I mean, we're

28:41

seeing public SaaS companies that are

28:43

doing a billion of ARR with 20% rates,

28:48

80% gross margins,

28:50

and they're trading at three times ARR.

28:53

You can buy a dollar for 50 cents.

28:56

So is that an opportunity Sachs you

28:58

think

28:59

hit rock bottom you should do a roll up?

29:02

Well, on the one hand I do think that

29:04

the pricing has never been more

29:05

attractive if you're a private equity

29:07

shop looking at a business like that. I

29:08

mean those companies used to be valued

29:10

at 13 times ARR now it's three.

29:12

I'm talking about like a category

29:14

leader. Now the downside of that

29:16

Salesforce is off 9% today. I don't know

29:19

if you guys saw this but the market's

29:20

absolutely tanking today after the

29:23

Medallia

29:24

announcement came out. Right. Okay, so

29:26

so that would be like you know I said

29:27

I'm of two minds about it. So

29:29

I would be bullish for private equity

29:31

just based on pricing but the bearish

29:32

part is that in order for their business

29:35

model to work you have to have

29:36

predictable cash flows. You can't have a

29:38

SAS company go from I don't know 120%

29:40

net dollar retention one quarter to 80%

29:44

net dollar retention six months or a

29:47

year later because a big part of their

29:48

customer base is attrited to using

29:51

tokens, right? Or to basically creating

29:53

some bespoke software. You just said the

29:54

absolute critical thing in all of this

29:56

which is you have to have predictable

29:58

cash flows. I think what happens is when

30:00

you're a startup

30:01

you typically have to figure out how to

30:04

disruptively price to enter the market.

30:06

So you're like, okay, if I deliver $10

30:08

of value I'm going to charge a dollar

30:10

and that's that's the normal playbook

30:12

like a 10% ratio, right? Of price to

30:14

value.

30:15

The problem is when you start to stack

30:17

venture capital into it and you then you

30:19

stack growth equity into it what you're

30:21

effectively

30:22

creating in in the preference stack of

30:25

your company

30:27

is that you are creating a higher return

30:30

hurdle.

30:31

Right? You got to clear 300 million, 500

30:34

million, a billion of pref and then you

30:35

have to return 15 or 20% on top of that.

30:38

So what do people do as they raise more

30:40

money?

30:42

they increase price.

30:44

But the problem is at some point when

30:46

you increase price,

30:48

you engender a ton of competition and

30:49

you put a huge target on your back.

30:52

Private equity is the last stop

30:54

because when you they come in and they

30:56

lay in billions and billions of dollars

30:59

of not just equity, but also debt and

31:01

that has to then be completely

31:03

predictable and paid back,

31:05

their only lever is to raise price. They

31:07

can never cut price to take share. They

31:09

don't they can't underwrite that to pay

31:11

back their debt holders.

31:12

And so Sachs, part of the big problem

31:14

here and why nobody wants to touch these

31:16

companies is that they are overpriced.

31:19

Yes, they're making a billion dollars of

31:20

ARR, but the unit cost has gotten out of

31:23

control. It used to be 10% of value.

31:26

It's probably now 30% of value and

31:29

everybody's looking at their contracts

31:30

thinking, well, when it comes time to

31:32

our renewal, I'm going to just cut this

31:35

in half

31:36

or I'm going to cut this by 2/3 or I'm

31:38

going to cut this by 75%

31:40

because the value isn't there anymore.

31:42

>> Or they can threaten to and negotiate a

31:44

better deal.

31:45

>> And it becomes even worse because the

31:46

minute you make these products headless,

31:49

right? And you say, I'm just going to

31:50

communicate with these products via MCP

31:52

and with agents,

31:54

you can't charge on a per seat basis.

31:56

What do you do then?

31:57

Free book doesn't need 50 seats of

32:00

you know, work day.

32:01

He needs two seats because the agents

32:05

act as the way to write in and out of

32:06

work day. So he wants to pay for two

32:08

seats, not 50. And then if you multiply

32:10

that by a million companies,

32:12

that's what gets us to this place where

32:14

it just feels like a falling knife.

32:16

And I think it comes down to these unit

32:18

costs. The unit costs and the price to

32:20

value of these products are out of whack

32:22

with what the market needs and wants.

32:25

And until they reset that or you find

32:27

new products that can do it cheaper,

32:28

we're not going to get a cleansing and a

32:30

clearing here.

32:31

>> Yeah, I think

32:31

>> way, Salesforce today is down 9% 140

32:35

billion enterprise value on 15 billion

32:38

of free cash flow.

32:40

This thing is trading at less than 10

32:41

times free cash flow. It's unbelievable.

32:44

>> I think it might be a bargain to be

32:45

honest.

32:46

>> Yeah, it sounds like bargain hunting.

32:47

And what if Benioff, who's the king of

32:50

acquisitions, what if he just starts

32:52

>> Well, we didn't we didn't put that he's

32:53

a buying his own stock.

32:55

>> Yeah, and we didn't put this on the

32:56

docket, but did you guys see his kind of

32:58

headless product announcement?

32:59

>> Yeah.

33:00

>> Do you see this? It's it's actually very

33:02

he's very smart.

33:03

>> Yeah, I mean I think it's very smart.

33:05

>> There's ways that that business can

33:06

maneuver, right? And I think they're

33:08

pretty unique. It may be that of all the

33:10

businesses in the scape, like

33:12

that you know, the ones that have that

33:14

scale, that have that multi-product

33:16

platform, that have a lot of your data,

33:18

there's a lot of opportunity for them to

33:21

you know, maneuver their way into an

33:23

evolution of the business.

33:24

>> one and cuz like if you look at it and

33:26

you compare it for example to other

33:27

companies, I think the Workday response

33:29

was to say, you can't have an AI

33:31

interact with us without paying some

33:33

kind of like toll.

33:34

>> You're exactly right.

33:35

>> Whereas Benioff is the exact opposite,

33:37

which is he's like, okay, we're going to

33:38

go headless for the whole thing, which

33:39

is really

33:40

>> right. You're exactly right. I think

33:42

that's that's going to be the

33:42

distinction of the winners here and the

33:44

losers and are you on the wrong side of

33:46

this?

33:46

>> The problem is that we have to figure

33:49

out what is the bottom clearing price

33:52

and that has nothing to do with business

33:54

quality. And so is Salesforce a good buy

33:57

at 10 times free cash flow?

33:59

Historical artifacts would tell us a

34:01

screaming yes.

34:03

The problem is that if you cut

34:04

everybody's cash flows off at year five

34:07

or six or seven,

34:09

then all of a sudden, I think you see

34:10

the natural compression to between three

34:12

and five times free cash flow.

34:14

And that is nothing to do that's that's

34:16

crazy.

34:16

>> That has nothing to do with business

34:17

quality. That just says you you

34:19

literally mathematically take year seven

34:21

through end of the future and you

34:24

discount it to zero.

34:25

>> And having free cash flow in a war chest

34:28

gives massive optionality. We've seen

34:30

this with Salesforce, we've seen it with

34:32

Apple, we've seen it with Meta, with

34:33

Google, with Uber, just having massive

34:36

free cash flow. When you've got tens of

34:37

billions of dollars, you can put it to

34:39

work and you can weather these storms.

34:42

>> J Cal, I think another another way to

34:44

think about this is

34:46

you know, to the question about

34:47

maneuverability and who has the gumption

34:49

to make the hard choices right now.

34:51

>> Yeah.

34:52

>> Look at Benioff. He's the founder of the

34:54

company. He's run this thing since its

34:56

founding decades ago. He is willing to

34:59

bet it all. He's willing to make the

35:00

change. And it may be that the index you

35:02

buy in this era of AI transformation is

35:05

the index of founders. That the founders

35:07

who are still running their businesses

35:09

are going to be the ones who are most

35:10

likely to see

35:11

>> They can burn the boats.

35:12

>> They'll burn the boats. They'll

35:13

maneuver. They'll make the changes.

35:14

>> And all and all of the guys who have

35:16

hired managers to run the business are

35:18

going to do the things that Chamath's

35:19

talking about, which is trying to charge

35:20

fees and try to maintain the old way of

35:22

doing things as opposed to reinvent for

35:24

the new future.

35:25

>> If you look at the 10-Ks, if we could

35:26

figure out what the unit price cost and

35:29

the trend and the inflation is of a per

35:32

seat license for these products,

35:34

I will point to the ones that are going

35:36

to die first.

35:37

>> Chamath, two quick points. So

35:38

>> Yeah, wrap us up.

35:39

>> Yeah. One is, yes, I would like fully

35:41

endorse what what you said about

35:42

Benioff. He's made every previous wave

35:44

work to his benefit, whether it was

35:47

social, whether it was mobile, whether

35:49

it was big data, all that kind of stuff.

35:51

What are the odds he's going to make AI

35:53

work to his benefit? I'd say pretty

35:54

good. So, his stock might be a bargain

35:56

right now. So, that is me, point number

35:59

one. Just And I want to say just a

36:01

thing about venture debt, which is I

36:04

look, I think it's fine when private

36:05

equity guys use it cuz they know what

36:06

they're doing, but I've always hated

36:08

when founders take on venture debt. And

36:10

I know J Cal you agree with me. Part of

36:12

it is that founders forget that they

36:13

have to pay it back. They treat it like

36:15

venture capital and they forget about

36:16

that. And then they get surprised. But

36:18

the other thing I've never liked about

36:20

it is it makes you more fragile. It

36:22

basically subjects you to a bunch of

36:24

business covenants and it makes it

36:26

harder for you to do an abrupt shift in

36:29

your business because now you've got a

36:31

bank looking over your shoulder and they

36:32

want to make sure they get paid, and

36:34

they have to review your financials and

36:35

all the rest of it. And to your point,

36:37

J. Cal, the companies that have free

36:39

cash flow right now are the ones that

36:40

have the most maneuverability. I hate

36:43

taking away maneuverability from

36:45

founders, and that is what debt does

36:47

because it subjects you to a fixed

36:49

schedule of payments. And so, this is

36:52

always a thing to remember, whether

36:53

you're a business or you're an

36:56

individual.

36:57

You know, when you put on that debt, it

36:58

makes you more vulnerable to big

37:01

disruptions in the market.

37:03

>> Yeah, it just you become incredibly

37:05

brittle, and founders who are listening,

37:07

when you get that in in peak markets,

37:09

peak zero

37:10

you're going to have venture debt people

37:11

offer you tons of cash, and then the

37:14

problem David and I saw up close and

37:15

personal in many different companies

37:17

where the founders would look at it as

37:19

like, "Oh, I'm extending my runway."

37:20

Well, if you're a hot startup, there's

37:21

always more venture capital, there's

37:23

always more people who want to own

37:24

equity. The equity sale gives you

37:26

optionality, and you have more people on

37:28

your team, more people rooting for you,

37:31

and aligned with equity interest, as

37:33

opposed to now you have a debt

37:35

instrument, they have a different goal,

37:38

they have different downside they're

37:39

trying

37:40

>> No bank wants to be your last 3 to 6

37:42

months of runway.

37:43

Because that means that in a high

37:45

percentage cases, they're going to lose

37:47

their money.

37:48

>> Yeah.

37:48

>> So, they're they're built to try to

37:50

avoid that.

37:51

>> I've never seen venture debt work well

37:53

to improve the quality of the business.

37:55

Never.

37:56

Never. It doesn't only only ever seen

37:58

venture debt leave tracks that damage

38:01

companies. And if you get the venture

38:03

debt, you can never actually use it. So,

38:05

the venture debt investors that

38:06

ultimately make money, it's because they

38:08

put money in a company and the company

38:10

never actually used the money they gave

38:11

them. I hate this business. I think

38:13

venture debt's like the worst

38:15

vulture-like business in Silicon Valley.

38:17

It's terrible.

38:18

>> If you get down if if the last money in

38:20

the bank is the debt you owe to the

38:22

bank, they're going to rug you. That's

38:24

when you get rugged.

38:25

>> 100%

38:26

>> You think they can afford to lose 100%

38:29

of their money when they're getting an

38:31

8% return or something like that? No

38:33

way. That's not how it works. VCs can

38:36

afford that because we have the

38:38

opportunity for

38:39

a 10x or 100x or 1000x for that

38:41

moonshot. So, we can accept a bunch of

38:43

zeros. The bank can't accept a bunch of

38:44

zeros.

38:45

>> Well, and then when they when they do

38:47

get scared and when they do think

38:48

they're going to lose their money, wait

38:50

till you see what they extract in terms

38:52

of value, what they ask for. They will

38:54

ask they'll double the interest rate,

38:57

they'll ask for warrants. It's basically

38:59

like being in debt in prison. Chamath,

39:02

you can talk a little bit about your

39:03

experience when you were

39:04

>> [laughter]

39:05

>> in debt in prison.

39:06

It's not going to be pleasant. I've been

39:08

in debt. I mean, I've had a $420 million

39:11

credit line.

39:13

And I had a moment where it was

39:15

reflexively kind of collapsing inward

39:18

because the assets that I was using to

39:19

secure it shrank in value in a moment of

39:22

market disruption.

39:24

I was scrambling and then at the same

39:26

time

39:27

there was a risk It was the worst moment

39:29

of my professional working life. I had

39:31

like a couple hundred million dollars

39:32

sitting at Credit Suisse and they were

39:34

about to implode. And so, on a weekend,

39:36

I was trying to figure out whether my

39:38

money was still there.

39:40

I had always had this rule, don't have

39:42

debt and then I violated it to try to

39:44

run the number up.

39:45

I almost got run over. I almost lost

39:48

everything.

39:50

I will never do it again. And if I ever

39:52

do it again, if you guys ever hear me do

39:53

it again, please just come and punch me

39:55

in the face.

39:56

>> Oh, we will. We've been waiting for an

39:57

excuse.

39:58

>> Can we punch you in the face for other

39:59

things, too?

40:00

>> Buffett has this line about how smart

40:02

guys go bankrupt is they take on debt.

40:06

>> Debt equals prison, [ __ ] Keep it in

40:08

your mind, guys.

40:09

>> Unless you socialize the debt and then

40:11

everyone thinks it's okay, which is what

40:13

we do with governments and that's the

40:14

problem with governments.

40:16

>> He's going to start going off.

40:17

>> Yeah.

40:18

>> Don't push the button. All right,

40:19

listen. We got to talk about TJ.

40:21

>> just just just a quick aside on that. In

40:23

the 1950s, all the corporations in

40:25

America had pension plans where you

40:27

would get some guaranteed payout at the

40:28

end when you retire. And they were all

40:30

like, "We're all going to go bankrupt."

40:31

Because a pension plan is either

40:32

significantly overfunded or underfunded.

40:35

If it's underfunded, you're bankrupt. If

40:36

it's overfunded, you've wasted all this

40:38

money, you can't do anything with it.

40:39

So, they all moved to 401(k)s and

40:41

everything got moved to defined

40:42

contribution plans except except

40:45

governments. And that's because the

40:47

government employees formed government

40:49

public employee unions and they're like,

40:51

"We want to keep the pension plans." And

40:52

now the pension plans, it turns out 70

40:54

years later, are going to bankrupt all

40:56

the governments in the United States.

40:57

>> That guy Spencer By the way, that guy

40:59

Spencer Pratt who's running for mayor,

41:01

he started uncovering all of the

41:03

salaries of the union folks and their

41:06

pensions in Southern California. It's

41:09

bonkers. They're making four, five

41:10

hundred thousand dollars a year right

41:12

before they go on pension. Then they

41:14

double their overtime and they get

41:15

two-thirds or a half. The pension

41:17

doesn't work. You got to go

41:18

superannuation fund. I don't know how

41:20

many times we've talked about it here,

41:21

but

41:22

>> You you don't need an annuitization

41:23

fund. You just need a 401(k). Like

41:25

people have a have an account. They got

41:26

their money in their account.

41:27

>> Yeah, but it's just a way to force

41:29

people to contribute to it. So, a forced

41:30

401(k) is different than a 401(k). You

41:33

got to force people and it's you're not

41:34

allowed to force people into the 401(k),

41:36

as you know.

41:37

>> As we've seen in California, everything

41:40

related to the government is a giant

41:41

grift, is a giant scam. There's tons of

41:43

fraud going on. Uh we've talked about

41:46

the homeless industrial complex, 12

41:47

billion a year to homelessness, but the

41:49

number of homeless keeps going up.

41:51

There's a million examples like that.

41:53

>> industrial complex?

41:54

>> Yeah, maybe it's a good time to let's

41:56

shift to SPLC cuz I think it's a good

41:57

example.

41:58

>> Well, we'll get to it. We'll get to it.

41:59

Um yeah, but you know what's even better

42:01

is you can just pass a law like the Nick

42:02

Sherly Act and you can put your fingers

42:04

in your ear, cover your eyes and say la

42:05

la la la la la and just pretend the

42:07

fraud's not happening, which is their

42:08

reaction in California.

42:10

>> Uh hey, how much fraud has Nick

42:12

uncovered so far in California?

42:14

>> Billions. He should be a billionaire.

42:16

>> Where's his

42:17

>> a billionaire.

42:18

>> You know, he should be doing it

42:19

privately and then getting the

42:20

whistleblower awards. I think that

42:22

actually would be a better strategy for

42:24

him.

42:24

>> We told him that was the We told him

42:26

that business model, remember?

42:27

>> Yeah, I know. He I think he's addicted

42:29

to the views, but I mean, he could

42:31

literally raise money on

42:33

>> Well, he's making

42:34

He's making thousands when he could be

42:35

making billions to Free Brooks' point.

42:37

>> No, he's

42:37

>> Well, but it's better It's better for

42:39

the public that he's doing what he's

42:41

doing.

42:41

>> thank god for Nick Shirley. Let's thank

42:43

Nick Shirley.

42:44

>> whether you could be making more money

42:45

or not, what you're doing is

42:46

>> And you know what he also did? He shamed

42:49

the mainstream media who's forgotten

42:51

about investigative journalism, who

42:53

forgot the ability to knock on a door

42:55

and just ask a basic question.

42:57

And now Bari Weiss with CBS has

43:00

deputized one of her reporters and she's

43:02

doing the exact same playbook and

43:05

meeting him punch for punch.

43:07

Where's CNN? Anderson Cooper should have

43:09

a Nick Shirley on his team. The New York

43:11

Times should have Nick Shirley. The LA

43:13

Times should have a Nick Shirley. Why

43:14

don't they?

43:15

>> Cuz you're

43:17

You're talking You're talking about old

43:18

media that does things one way and the

43:20

point about Nick Shirley is it's new

43:21

media. It's citizen journalism. It's

43:23

people on the street distributing

43:25

fact-finding, distributing information

43:27

gathering and old media in order to

43:28

survive became an opinion organization.

43:30

>> Didn't the media used to care that the

43:32

Pentagon was paying $900 for a hammer or

43:35

what have you? I mean, like 60 Minutes

43:36

used to do things. Now, it's like the

43:38

media just wants to protect the waste,

43:41

fraud, and abuse

43:43

no matter how egregious it is. Remember,

43:45

I mean

43:45

>> Remember that guy, Dennis Kozlowski, the

43:48

CEO of Tyco, who went to jail and they

43:50

like had it just a feeling because he

43:53

had

43:53

>> He umbrella stand the like the $6,000

43:56

umbrella stand.

43:57

>> Made out of like ivory from like

43:59

>> [laughter]

43:59

>> a rhino elephant.

44:01

>> I know you bought that at auction,

44:02

didn't you, Jim Matt?

44:03

>> Sachs, you're so right. People really

44:05

used to care except when it was their

44:07

team. And then the minute that it was

44:08

their team, they're like, "Oh, no, no,

44:10

no, let's just look the other way."

44:11

>> It was a

44:11

>> If it's a CEO, if a CEO basically

44:14

engages in some misbehavior, and I'm not

44:16

defending it, the press will be all over

44:17

that. But when the government does it,

44:19

they don't do anything.

44:21

And in fact, we had one of the most

44:23

successful, probably the most successful

44:25

entrepreneur of our generation donating

44:28

his time to the government to find

44:30

waste, and the media basically drove him

44:33

out of that.

44:34

>> They vilified him and drove him out.

44:35

>> Yeah, they made it untenable.

44:36

>> Well, this is whoever comes up with a

44:39

way to eliminate waste, fraud, and

44:40

abuse, like Chamath did, and they

44:42

productize that and make them that make

44:44

that their platform, that's the way to

44:46

win in 2028 and going forward is to

44:49

convince the public that they don't need

44:52

to have their taxes raised, they could

44:54

have their taxes reduced just by

44:56

eliminating the minimum of 20 or 30% of

44:59

waste, fraud, and abuse there is in the

45:01

system. Uh we'll get to Tim Cook

45:03

stepping down in just a moment, but I

45:04

want to remind everybody

45:06

liquidity sold out. I'm sorry, we added

45:08

a couple of tickets. We we we burned

45:10

through them immediately. But you can

45:12

still get into the All-In Summit. This

45:13

is our fifth edition in Los Angeles,

45:15

September 13th, 14th, and 15th.

45:18

allin.com/events to apply. Please apply,

45:21

and then don't come to us 60 days out

45:23

and say, "I didn't get a ticket.

45:25

I'm a bestie, get me in." Just buy your

45:27

damn ticket and don't get left out.

45:29

>> I have a liquidity announcement.

45:30

>> Oh, yum, yum.

45:31

>> We are going to do one

45:33

political panel.

45:35

>> Okay.

45:36

>> And it's going to be

45:38

Dave McCormick and John Fetterman, the

45:41

two sitting senators from Pennsylvania,

45:44

on stage with us

45:45

talking about all topics from a left and

45:48

right perspective.

45:49

>> Amazing. So, Fetterman's coming, which

45:52

means the dress code is now sandals, uh

45:55

shorts, and a T-shirt. That's great.

45:57

>> Construction Construction sheet.

45:58

>> Get your Timberlands [laughter] out.

46:01

I mean, is he really going to show up

46:03

looking like a hobo? I love his hobo

46:05

style. It's great.

46:07

>> McCormick's very fit and handsome. So,

46:08

like he he'll balance him out. So, I

46:10

think

46:10

>> That's what we should program it as.

46:12

Like, he should wear his best Brioni

46:14

suit versus

46:16

the Old Navy from Bettermint. Who

46:18

[laughter] wore it better? All right,

46:19

listen. Just rapid fire here on the Tim

46:22

Cook

46:23

resignation and moving on. This guy,

46:26

John Ternus, is a 25-year vet. He did

46:30

lots of hardware, worked on iPad,

46:32

AirPods, and he was the favorite on

46:35

Polymarket since day one. He's a bold

46:37

decision-maker according to reports. And

46:41

unlike Tim Cook Cook, Tim Cook did a

46:43

great job of squeezing every last nickel

46:45

out of Steve Jobs' product line, which

46:47

lasted for a decade, iPhone, Apple TV,

46:50

Watch, I don't have to need to repeat

46:51

them. But, here we are.

46:53

We got a product person in the seat,

46:55

which is what we all know they needed.

46:58

Because, hey, these tools are getting a

47:00

little bit stale. Siri, disgraziad.

47:03

AirPods, disgraziad. The whole system is

47:06

not built on innovation anymore. It's

47:08

built, Freeberg, I think you would

47:10

agree, on just bringing more profits,

47:14

more profits. What's your hope here?

47:16

Because, man, they missed so many great

47:18

swings at bat. They didn't get the

47:20

Oculus, you know, Ray-Bans that Meta

47:23

did. They canceled their self-driving

47:25

car. What would you hope that this new

47:27

CEO of Apple focuses on, Freeberg, in

47:30

terms of innovation? They don't have a

47:32

problem selling phones still. They don't

47:34

have a problem selling laptops and

47:35

making a ton of money. But, if you were

47:36

in the seat, if you were on the board of

47:38

Apple, which wouldn't be a bad idea for

47:39

them, if I'm being honest, what would

47:41

you tell the new CEO to focus on, David

47:43

Freeberg?

47:44

>> I mean, I don't know. The software layer

47:46

of the future is not the software layer

47:48

of the past. So,

47:49

>> Okay.

47:50

>> It's pretty obvious. I don't know if how

47:52

much there is to talk about, but you

47:53

just need the Siri equivalent that's

47:55

ubiquitous in all of your devices, knows

47:57

who you are, personalized to you, sees

47:59

your email, sees your calendar entries,

48:02

knows what kind of music you like, has

48:03

connection to your home. Basically,

48:05

build that AI layer for your life. And

48:08

make it ubiquitous in all of your Apple

48:10

devices, that no matter what device

48:11

you're using, it knows who you are, you

48:13

can engage with it using kind of a

48:15

natural language method. And it's, you

48:17

know, it's it's pretty obvious.

48:19

>> Yeah.

48:20

They should buy WhisperFlow, yeah. I

48:21

mean, that would be

48:22

>> I don't know how they're I don't know

48:23

how they're running the business, but

48:24

>> Well, they're running it for profits,

48:26

obviously, Sachs. I would say buy

48:28

WhisperFlow and just replace the Siri

48:30

team with that, because Siri's been just

48:32

The fact that Siri can't spell

48:33

Polyhymnia or Calacanis after 20 years

48:36

of us giving them $20,000 for iPhones is

48:39

just disgraceful. Sachs, if you were on

48:41

the board of Apple, again, not a bad

48:43

idea, what would be your hope for the

48:46

company? What would be your sage advice

48:48

for the new CEO?

48:50

>> Well, I mean, everybody is going to be

48:52

asking the same question, which is what

48:54

are you going to do about AI. I don't

48:55

know that they needed to be on the

48:57

bleeding edge of it, but they are going

48:58

to need an answer at some point, and

49:00

Siri's going to need to be AI-empowered.

49:03

Probably the way it should work is that

49:04

you get to choose your model. I mean, I

49:06

don't know that they need to pick just

49:08

one model provider. It could be a

49:09

setting where you go in and you set up

49:11

your account with whatever ChatGPT or

49:14

Grok or Claude or what have you. And you

49:17

can choose your own model provider, and

49:18

then you'll have more customization and

49:20

more

49:21

ability to control your your storage.

49:24

Let me just say this on Tim Cook's

49:27

retirement, he had an incredible run as

49:30

CEO of of Apple. I mean, he ran it very

49:32

effectively for 15 years. The market cap

49:35

of the company went up by over 10X, the

49:37

revenue grew from roughly 100 billion a

49:40

year to over 400 billion a year.

49:42

He also improved the quality of revenue

49:44

by moving the mix into services, which

49:47

is probably why it got why it got a

49:49

higher valuation.

49:51

And, you know, people say that well,

49:53

they never did any innovation under Tim

49:55

Cook, but you know, I've seen people

49:56

tweet list of products that were

49:58

released under him.

49:59

And there were a lot of them. Now,

50:02

it's true, nothing as big as the iPhone,

50:04

but they did release a lot of products

50:06

under Tim Cook. And then just finally, I

50:07

mean, you you look back over the last 15

50:09

years and there really weren't any

50:12

public snafus or scandals or imbroglios

50:17

with with Apple. It's one of the few

50:19

tech brands that is still, I think,

50:21

beloved by the population.

50:23

I think a major part of that was Tim

50:25

Cook's dedication to privacy and keeping

50:28

the company on the right side of that,

50:29

which I think users do appreciate. And,

50:32

you know, he even Tim Cook even got

50:35

praise from the president. I think it

50:36

was just unsolicited where the president

50:39

talked about how Tim Cook didn't call

50:40

him up that often, but when he did, it

50:42

was something important and therefore

50:44

the president tried to help them out.

50:46

Seems like he nurtured a good

50:47

relationship with the president over

50:48

over the last decade or so. So, you just

50:51

have to say that he navigated what could

50:53

have been a turbulent period with a

50:55

great deal of grace and aplomb.

50:58

>> Clearly, Chamath, he was a great steward

51:01

of the brand, even though that list of

51:04

products were all

51:06

developed under Steve Jobs and they were

51:08

just executed well, but he didn't

51:11

bring in a lot of new products or

51:13

services. Any final take

51:15

>> Actually, Chamath, can I kindly ask you

51:16

a question? What do you think

51:18

other than AI, you know, AI-powered

51:20

Siri, let's say.

51:22

What do you think he missed? I mean,

51:24

what should Apple have done that they

51:26

didn't do?

51:27

>> They would have out by now a pair of

51:30

glasses that weren't 17 lb like the

51:33

Apple Vision Pro. They would have gotten

51:35

glasses that pair perfectly with your

51:37

phone, take videos for kids, and they're

51:39

coming out with it. It's just on a

51:41

really broken timeline. They would have

51:43

had a killer Siri.

51:45

They would have had a search engine-ish

51:47

Perplexity like product. They would have

51:49

had a self-driving car. When you went to

51:51

the Apple Store, you would have been

51:52

buying two or three very important

51:55

products. Glasses, a car, and probably a

51:58

television set. If you look at actually

52:00

what they did innovative under Tim Cook,

52:02

I think that they have great taste and

52:04

Apple TV produced a lot of great

52:06

programming. I he was working on a

52:08

television set. Not Apple TV clunked

52:11

onto the back. I think those three

52:13

products would have been four products.

52:15

Siri, glasses, car, television set.

52:18

Those would have been extraordinary. And

52:20

who knows what he would have come up

52:21

with. When they lost Jony Ive, and

52:23

obviously Steve Jobs passed away, they

52:25

lost the soul of the company. They lost

52:27

the innovative, groundbreaking soul of

52:30

the company, and they just went into

52:31

profit

52:33

and iteration mode. But no acquisitions

52:36

of note. Nothing important was acquired,

52:39

and nothing important was released.

52:41

Vision Pro, you can give them like maybe

52:43

that's like the sixth best product or

52:45

something. But it obviously hasn't hit

52:47

the mainstream. Chamath, any final

52:49

thoughts from you?

52:50

>> Yeah, I have um

52:52

three specific things to say. The first

52:54

is that he had honestly like an

52:56

impossible job.

52:58

It's sort of like you play

53:01

basketball with Michael Jordan, and then

53:04

you're asked to be Michael Jordan.

53:06

And I think that that's an impossible

53:08

task. And on that dimension, I think he

53:10

has done just an incredible job. He has

53:12

been

53:13

an incredible steward of the business.

53:15

Sachs is right, no major snafus. I think

53:19

he did a really smart thing around

53:21

doubling down on privacy. And just as a

53:24

practical matter of being a great CEO.

53:27

Like if you I think you can categorize

53:29

CEOs in two buckets. One is

53:32

the innovator,

53:33

the person that's pushing the envelope,

53:35

and then the second is just a great

53:38

steward.

53:39

He's at the top of the top of that

53:41

second category. Um I sent you couple of

53:44

charts to to show this. And he found a

53:46

lane that allowed him to separate

53:49

himself from Steve Jobs. So, you know,

53:52

as an example, like what does it mean to

53:54

be a steward? Well, when you're a

53:56

steward, you're allocating resources,

53:57

and the two most important resources you

53:59

control

54:00

is capital

54:02

and people. And I think on that

54:04

dimension, what Tim did, if you just

54:07

look at this, is

54:08

he was able to invest appropriately in

54:10

R&D. They completely divested their need

54:14

of Intel. They spun their entire new

54:16

line of silicon. That silicon, it turns

54:19

out, and this will be important in the

54:20

future,

54:21

is very useful

54:23

in AI with all of this open claw stuff,

54:25

and you know, some of you guys are

54:27

completely addicted to it.

54:29

And they've kept the acquisitions light.

54:30

So, he was very capital efficient. If

54:32

you look at the

54:34

the next chart,

54:35

what's so interesting is like it is the

54:37

exact opposite of what Steve Jobs did.

54:39

Look at the amount of money that Steve

54:41

Jobs returned to shareholders in his

54:43

tenure at Apple. It's easy to count. It

54:44

was zero.

54:46

He loved to to keep that money on the

54:48

balance sheet, and he probably, or

54:51

maybe, I'm guessing, would have directed

54:53

that at some huge shot on goal. In the

54:55

Tim Cook era, it was very different. He

54:57

shrank the share count by almost 50%. I

54:59

think it's like 44%.

55:00

>> That's insane. Is there any

55:02

corollary to that, Chamath?

55:04

>> No, he's he's been a prolific

55:07

shareholder friendly CEO, finding ways

55:10

to give us money back, which I think

55:11

everyone who's owned the stock

55:13

has very deeply appreciated.

55:15

The last thing I'll say, though, is what

55:17

is the future for John Turnus, and I

55:19

think it's in this final chart. We

55:20

talked about

55:22

the problematic nature of increasing per

55:26

unit pricing in SaaS.

55:29

And what I would say is if you look at

55:31

the iPhone,

55:33

the unit price has gone up, and people

55:35

would say, "Yes, but the capabilities

55:37

have gone up in turn, and I acknowledge

55:39

that.

55:40

But the problem with the per unit

55:42

pricing being as high as it is is what

55:45

Freeburg says is going to happen. AI

55:47

rips open the canvas

55:49

of the devices that we will use to

55:51

interact with information and knowledge.

55:54

We are going to live in a much more

55:56

heterogeneous world in the future. It's

55:58

not going to be two devices and two

56:00

different operating systems that get you

56:02

to knowledge.

56:04

There's going to be all kinds of stuff.

56:05

Pens, orbs,

56:07

who knows, Jason? Your glasses,

56:08

whatever.

56:10

And so, the problem is if you get too

56:12

addicted to a single thing

56:14

that has an incredibly juicy profit

56:17

margin and great stickiness and the

56:20

ability to raise price,

56:22

it's a hard drug to get off of. So, I

56:24

think really what John Turnus has to do

56:27

is figure out how to move to this world

56:29

where everybody will be launching

56:31

umpteen devices

56:33

via MCP or otherwise,

56:36

all of these services will be open.

56:39

It'll be agentically talking to

56:40

everything. I think the most decay.

56:44

And I think if that happens, that's

56:46

problematic if you're too reliant on a

56:48

single thing to kind of keep it going.

56:50

>> Yeah, and just expanding on what you

56:52

said, like wearables is where they

56:54

really uh made some good inroads in

56:57

terms of getting people to use them,

56:59

whether it's AirPods or the watch. And

57:01

the next wearable, like this is an

57:02

applaud pin that I use to record. You

57:04

can put it here, put it on your wrist.

57:06

That AI synchronicity of having your

57:10

eyes, having your ears, having your

57:12

watch, having your phone, your desktop

57:14

all sync together with AI could be a

57:17

huge product line. I'll also add a

57:18

fifth, robotics. You know, the I think

57:21

to I think Steve Jobs, if he were alive

57:24

today, would have been looking at

57:25

Roomba, he would have been looking at

57:26

Optimus, and he would have said, "Hmm."

57:28

>> [clears throat]

57:29

>> Consumer robotics, in addition to a

57:31

consumer car, those are two things I

57:33

think he would have absolutely uh

57:36

executed on at a high level. Okay, let's

57:39

keep moving here. Uh

57:40

>> Just come and come and one last point.

57:41

>> Chamath, we'd love to have you on the

57:42

pod, John. So, just come on the pod when

57:43

you're ready. Uh we'll have you come sit

57:45

in. Go ahead. Sachs, you get the final

57:46

word.

57:47

>> This one last point on this is that I

57:49

think the succession at Apple

57:52

is reminiscent a little bit of the

57:54

succession at Disney.

57:56

And apparently

57:58

Steve Jobs and Tim Cook had this

58:00

conversation back when Steve was alive

58:01

and and Steve

58:03

told Tim, "Don't do what Disney did."

58:05

Where basically after Walt Disney died,

58:07

the company kind of languished because

58:10

it felt so beholden

58:12

to Walt's vision that they never really

58:14

iterated. Now, when Walt died, his

58:17

brother Roy took over and Roy was

58:19

already in the business. He was sort of

58:20

like the business co-founder. He was a

58:22

COO type, a little bit like Tim Cook.

58:25

And he kept the magic going for about 5

58:26

years and then he himself died. I think

58:28

it was around 1971. And then you had

58:31

this string of CEOs who took over were

58:32

kind of uninspired and it wasn't until

58:34

Eisner came in in 1984 that he sort of

58:37

revitalized the business.

58:39

And so, as I understand it, Steve and

58:41

Tim had this conversation.

58:43

And Steve told him, "Don't be too

58:44

beholden to my vision. You need to

58:46

figure out your own and extend it."

58:48

I think that, you know, you could argue

58:50

that Tim in a way was like the Roy

58:52

figure here. Very effective business

58:56

partner

58:57

of Steve. He got a 15-year run. Roy only

59:00

got five and I think again, he added a

59:04

zero to the value of the company. The

59:06

market cap went up over 10x. So, you

59:09

have to say fantastically successful run

59:11

as CEO. I think the question now for

59:14

John Turnus is, "Okay, you're now past

59:17

let's say the the Walt Disney and Roy

59:19

Disney part of the business. Is it going

59:21

to be like the 1970s

59:23

Disney or is it going to be more like

59:24

the 1980s? Do you figure out a way to

59:26

revitalize it or do you have to go

59:28

through

59:29

uh you kind of a funk first?

59:31

>> Mhm. Yeah, and if I I think it's like

59:34

really illustrative of this discussion,

59:37

Eisner and Iger. Cuz Eisner's innovation

59:40

was he realized that Disney was uh I

59:43

think he called it the vault strategy.

59:45

He would and we probably remember this

59:47

from our childhoods, he would re-release

59:50

all into theaters all of their IP every

59:52

7 years. You couldn't get some of those

59:55

Bambis, whatever.

59:57

Snow White and the Seven Dwarfs, you

59:58

couldn't get those products except in

60:00

theaters and he figured out a cadence to

60:02

keep publishing. But then Iger came in

60:04

and said, "Hey, what if we use this

60:06

balance sheet and we use this

60:07

distribution at the parks uh and you

60:10

know, with their brand

60:12

to buy Pixar, Marvel,

60:14

uh and Star Wars." And so, there's

60:17

multiple ways to do it. There might be

60:18

something there in terms of

60:20

acquisitions, bold acquisitions with the

60:23

Apple balance sheet could be super

60:25

accretive to shareholders as opposed to

60:27

lowering share count and just

60:30

distributing a ton of cash. All right,

60:31

listen. We're going to talk about the

60:33

Southern Poverty Law Center racism

60:36

corner. Let's go to race Fake fake

60:38

racism corner.

60:39

>> I want to know how the SPLC managed to

60:42

accumulate 822

60:44

million dollars in offshore bank

60:46

accounts.

60:46

>> Yeah.

60:47

>> This is incredible. These are big

60:48

numbers. Okay, SPLC

60:50

>> How was that possible? What is going on?

60:52

>> All right, let me tee it up here for the

60:53

team.

60:54

>> It's like one of the biggest grifts of

60:55

all time.

60:56

>> Anyway, Jake has to do it. This is a big

60:57

one. SPLC has been indicted indicted,

61:00

not found guilty yet, on 11 counts of

61:03

wire fraud and money laundering. Keep

61:05

that in the back of your head. Wire

61:06

fraud and money laundering. Here's the

61:08

core allegation. Between 2014 and 2023,

61:11

the Southern Poverty Law Center used

61:14

hidden bank accounts to funnel 3 million

61:15

in donor money to paid informants.

61:18

Like these are confidential informants,

61:20

like the police or FBI might use. They

61:23

use these as a non-profit NGO to

61:27

infiltrate hate groups. And so, the

61:30

official mission of the SPLC

61:32

is, quote, to be a catalyst for racial

61:35

justice in the South and beyond, working

61:37

in partnership with communities to

61:39

dismantle white supremacy, strengthen

61:41

intersectional movements, and advance

61:44

the human rights of all people. Okay,

61:45

sounds great on paper. Examples of

61:47

organizations they were trying to

61:49

infiltrate great KKK Aryan Nation

61:52

neo-Nazi groups, and the Unite the Right

61:54

organizers. Proud Boys, labeled as a

61:56

hate group by the SPLC. Oath Keepers,

61:58

not listed as a hate group, but part of

62:01

the militia movement. My friend Sam

62:03

Harris, he was not listed as a hate

62:05

group, but he was also pinned by the

62:07

SPLC as, like, hate adjacent in their

62:10

Hate Watch headlines. And this is

62:12

something that I had a major problem

62:13

with this organization on, which is they

62:15

would just very loosely label people as

62:19

hate speech and try to get them

62:20

canceled. All of this kind of came to a

62:24

head. The revenue before

62:25

Charlottesville, you remember the

62:27

incorrectly clipped uh Charlottesville

62:29

hoax, where they said Trump said both

62:31

good people on both sides, but they

62:32

didn't give his full quote. Very unfair

62:34

to President Trump. Uh we found out

62:36

later.

62:37

And that was the reason Biden

62:39

of course ran. He said the

62:40

Charlottesville both sides thing was his

62:42

inspiration. 58 million in 2026, to your

62:45

point, Chamath. Doubled and spiked to

62:47

136 million, more than double. And it's

62:50

remained elevated ever since. Here are

62:52

some, you know, images. For the

62:54

indictment, and I'll wrap on this and

62:56

then get everybody's uh feedback. They

62:59

had F-37 as one of their confidential

63:02

informants. He was a member, and this is

63:04

according to the indictment, quote,

63:06

member of the online leadership chat

63:09

group that planned the 2017 Unite the

63:11

Right event in Charlottesville,

63:13

Virginia, and attended the event at the

63:16

direction of the SPLC.

63:19

F37 made racist postings under the

63:21

supervision of the SPLC and helped

63:23

coordinate transportation to the event

63:25

for several attendees between 2015 and

63:27

2023. The SPLC secretly paid F37 more

63:31

than $270,000.

63:33

That's the legal case here. Let me pause

63:35

there.

63:36

>> Can I add one thing?

63:37

>> Sure, keep adding. There's a lot of

63:38

detail to this case. Yeah.

63:39

>> Yeah, so you're right that the SPLC

63:41

allegedly did fund $270,000 to help plan

63:45

Charlottesville. In addition to that,

63:47

they secretly funneled more than $3

63:49

million

63:50

to

63:51

to a bunch of violent racist extremist

63:53

groups including the Ku Klux Klan, the

63:57

American Nazi Party,

63:59

Aryan Nation,

64:01

United Klans of America,

64:03

and it goes on from there. So, I think

64:05

don't forget about the $3 million bucks.

64:06

So, this group that was supposed to be

64:08

fighting racism in fact was fomenting

64:11

racism by paying these groups to

64:15

basically organize protests

64:17

that SPLC could then point to and say

64:20

that America has a huge racism problem,

64:22

donate to us. And that's basically what

64:23

happened after Charlottesville.

64:25

They increased the amount of money that

64:27

they were able to fundraise by $81

64:30

million. So, that $270,000 investment

64:34

led to an $81 million return, pretty

64:36

good. But this is kind of the whole

64:37

point of the story is that these guys

64:38

are basically running a grift. And one

64:41

of the ways that you know this is a a

64:43

grift is because according to the

64:45

indictment

64:46

that they opened bank accounts under

64:49

fictitious entities to conceal the

64:51

payments that they were making from

64:53

their own donors.

64:55

Because if their donors knew

64:57

that they were funding the KKK,

65:00

they wouldn't be getting all these

65:02

contributions from Hollywood celebrities

65:04

and all the rest of it. So, it's really

65:06

just this unbelievable story.

65:09

>> Under

65:09

>> Uh it It the mind.

65:10

>> And just to clean up a little bit there,

65:12

these are allegations. They haven't made

65:14

the jump from planning these events and

65:17

the SPLC

65:19

claims they were not planning these

65:22

things, they were monitoring. So, that's

65:23

going to be their argument on the side.

65:25

I'm not saying I agree with that.

65:26

>> I know. I know. You're You're You're

65:27

right that the SPLC's cover story is

65:30

that they were simply paying informants.

65:32

That's what they've claimed.

65:34

But, there's two problems with that

65:35

story. Number one is they were paying

65:37

the actual leaders of these groups, not

65:40

just sort of moles who were infiltrating

65:42

the groups. And second, these leaders,

65:46

they weren't paid to inform, they were

65:47

paid to foment the activities. So, I'm

65:50

just saying that's the the flaw. I

65:52

understand they have this cover story

65:54

that they were just paying informants.

65:55

I'm just saying in my view, that does

65:57

not hold up. And again, if they were

65:59

just paying informants, why the

66:01

extraordinary efforts to conceal the

66:02

payments from their own donors? If they

66:04

were proud of these efforts to

66:06

infiltrate these groups, they should

66:08

have basically informed their donors

66:09

what they were doing. In fact, they hid

66:11

it.

66:12

>> And well, here's the reason uh that it

66:14

was hidden, according to them. Again,

66:16

I'm not taking the side. SPLC is not an

66:18

organization I'm endorsing in any way.

66:21

Their version of this is we didn't plan

66:23

any of this.

66:24

If we put

66:26

SPLC

66:27

bank accounts together for informants,

66:29

that would be like the FBI sending a

66:31

check to an informant from an FBI

66:33

account. That's their explanation of it.

66:34

>> They're not a law enforcement agency.

66:36

>> Well, that's actually the question I had

66:38

about all this is like what is a

66:39

nonprofit doing hiring confidential

66:42

informants, Chamath, to infiltrate these

66:44

organizations, to what end? And then if

66:46

you show me an incentive, you're going

66:47

to you're going to see an outcome. And

66:49

the outcome here is, "Hey, we'll get

66:51

more donations if there's more racism."

66:53

Uh your thoughts, just generally

66:55

speaking here, Chamath. Again, all of

66:57

this is alleged.

66:58

>> These NGOs have completely run amok.

67:01

They're cause-playing as these

67:04

overlords and power brokers in our

67:06

lives, and it needs to get stopped. They

67:08

should all be dismantled. The people

67:10

that donated to the SPLC should sue

67:12

them.

67:13

Rip open all of the documentation, get

67:16

their money back. Because just so you

67:18

guys know, if you are listening or

67:19

watching and you have donated, there's

67:21

$822 million of your money sitting in an

67:25

offshore bank account waiting for you to

67:27

get it back. Okay? And then separately,

67:29

if you are thinking of donating to any

67:31

of these organizations in the future,

67:33

unless there is a

67:35

full transparent auditing of it, you

67:37

actually may be doing the opposite of

67:39

what you thought. If you are against

67:41

racism, you may be supporting racism. If

67:44

you are against discrimination for gays,

67:47

this could be actually promoting

67:49

discrimination for gays. If you are

67:50

supportive of trans rights, this may be

67:52

pushing back against trans rights. Cuz

67:54

the playbook seems to be do the opposite

67:57

to create the narrative, give it to your

67:59

friends in the media who will look the

68:01

other way and just amplify it, tell the

68:03

lie, create the craziness, and then

68:06

raise a bunch of money, make a bunch of

68:08

stink, and try to

68:09

curate power.

68:10

>> Friedberg, you think this is

68:12

in your estimation or your gut tell you

68:14

this is arsonists

68:16

firefighters? They're lighting things on

68:18

fire so that they can go put it out.

68:20

Or do you think this is like

68:23

a law fair as some people are claiming

68:25

because there hasn't been to Chamath's

68:27

point, it's they don't have donors

68:30

taking this action. They're being

68:31

accused of wire fraud on behalf of

68:33

donors who haven't shown up yet to do,

68:35

you know, a legal action. What's your

68:36

take on all of this, Friedberg?

68:39

>> The IRS definition of what a 501c3

68:43

nonprofit organization is meant to be

68:45

doing is to engage in exempt activities.

68:49

The definition of exempt activities is

68:51

charitable,

68:53

religious, educational, scientific,

68:56

literacy,

68:58

public safety,

69:00

or fostering amateur sports competition

69:03

or preventing cruelty to children or

69:05

animals.

69:06

You tell me how the [ __ ] 90% of what we

69:10

call nonprofits today fall under that

69:12

definition. We have completely closed

69:15

our eyes to the fact that organizations,

69:18

regardless of political affiliation,

69:20

social interest, have fundamental

69:22

commercial and probably not aligned

69:25

interests with the definition of a

69:27

501c3, and we've allowed them all to get

69:30

away with it for far too long. I don't

69:32

think that this is a blue or red thing.

69:34

I think that this is a thing where we

69:36

let these organizations make it easy to

69:38

get money, to hide the money, and to do

69:40

whatever the hell they want with the

69:41

money, and we need to stop it. And I

69:43

think that it's an amazing opportunity

69:45

right now for everyone to kind of reset

69:47

the decks by cleaning all the [ __ ] up

69:50

and getting all of these organizations

69:51

flushed and make sure that any

69:53

organization that wants to do whatever

69:55

[ __ ] nefarious things they want to

69:56

do,

69:57

by all means do it. But it's not a

69:59

nonprofit, and you shouldn't get a

70:01

charitable donation deduction, and the

70:03

government should not be putting money

70:05

into these sorts of things. This is an

70:06

entirely different sort of activity in

70:10

the social order. And as a libertarian,

70:12

I'm all for it, but I don't think that

70:14

they should be tax-exempt, and I don't

70:15

think they should be getting government

70:16

money, and I don't think that

70:17

individuals should be benefiting from

70:19

giving them money. And if we could fix

70:21

all that [ __ ] up, I think a lot of these

70:22

problems are going to go away, and I

70:24

think this is a major problem.

70:25

>> I think the theme of this episode is

70:27

audit everything, whether it's

70:29

government waste and abuse, or it's

70:31

these NGOs, or it's people like Dow

70:34

making these chemicals that 30 years

70:35

later, you know, perhaps are correlated

70:39

with cancer. We need to audit

70:41

everything. We need to take a fresh look

70:43

at this cuz it's not red versus green.

70:45

Red This is not red versus blue. It's

70:46

green. This is clearly a monetary

70:49

incentive, and it is incredibly

70:51

disruptive for society to not know the

70:53

truth about

70:54

what's going on with race in this

70:56

country. I got

70:58

absolutely, you guys might not know

70:59

this, but in this is part of the cancel

71:03

culture moment in time where they tried

71:05

to take people having reasonable

71:06

discussions about race in this country

71:08

and tried to cancel them. They tried to

71:09

do this to me in 2014.

71:12

Very famously, you guys may not know

71:13

this, but I have won a couple of awards

71:15

in my career. Most offensive tweet ever

71:18

by Vice in 2014 was my

71:21

alleged racist tweet where I said, "Hey,

71:23

if you want to get into uh blogging and

71:26

journalism, there's no racism in Czech

71:28

journalism. All you have to do is

71:29

publish for a couple of years a blog

71:30

post, nobody can stop you, and there'll

71:32

be a ton of jobs available to you." And

71:34

then what they did was they tried to

71:35

cancel me and tried to cancel all my

71:37

media properties and my investing.

71:39

And this stuff had like a modest impact

71:41

on me maybe for a year.

71:43

And then now it's obviously all being

71:45

>> Whoa, whoa, whoa, wait. I'm not sure I

71:47

understand. [clears throat] J Kyle,

71:47

you're saying the SPLC put you on a

71:49

cancellation list?

71:50

>> No, they put Sam Harris on it. Vice put

71:52

me on a cancellation list. I It didn't

71:54

get picked up by the SPLC, but I

71:56

experienced the same thing, which was

71:58

they said because I said

71:59

you know, race does

72:01

race doesn't play a role in hiring.

72:04

>> You're so careful about your virtue

72:05

signaling. I'm just shocked that anyone

72:06

would try to cancel you.

72:08

>> Well, that's what's shocking about it.

72:09

It's like [laughter]

72:10

I know I was very clear. I said, "In

72:12

journalism, like a very vertical thing

72:14

that

72:15

>> skilled at experiencing You're very

72:16

skilled virtue signaler, so

72:18

>> [laughter]

72:18

>> I mean

72:19

>> They tried to cancel me, guys. I don't,

72:20

you know, it's They tried to cancel you,

72:22

too, Jamal.

72:23

>> Jason, go ahead.

72:24

>> You have a question for me?

72:25

>> I'm uncancelable.

72:26

>> Yes.

72:26

>> Cuz I don't give a That's what we found

72:28

out through all this shenanigans. You

72:30

care about all what all these idiots

72:31

think. But

72:32

>> don't. I never have. [laughter]

72:33

>> Jason, I have a question for you.

72:35

>> Go ahead.

72:35

>> What percentage odds now do you keep in

72:37

the back of your mind that your

72:39

petite little illustrious Human Rights

72:41

Watch

72:42

>> [laughter]

72:43

>> is actually creating human rights abuses

72:45

to try to

72:46

>> This is actually a very good point. You

72:47

know, a lot of the human rights

72:48

organizations from back in the day that

72:50

>> What is the organization that you were

72:52

What is it called?

72:52

>> Amnesty International.

72:53

>> Oh, yeah.

72:54

>> When I worked at Amnesty International,

72:55

a very fine

72:57

mandate. The mandate was human rights

72:59

abuses as described in the Universal

73:01

Declaration of Human Rights created by

73:03

Eleanor Roosevelt and the uh

73:05

>> This is like science corner. Wait until

73:07

this is done, Sam.

73:08

>> No, but they It was torture. [laughter]

73:09

It was people being put in jail and

73:11

being tortured. It was people being

73:13

censored because of freedom of speech.

73:16

And And that's what I worked on when I

73:18

was at Amnesty International. These

73:19

groups went adrift in order to get

73:22

money, Human Rights Watch included, and

73:24

then they started taking on things like,

73:27

you know, uh transgender rights, this

73:29

rights, that rights, and censoring

73:31

people. They They went after Sam Harris

73:33

because he had Charles Murray from the

73:36

Bell Curve.

73:37

>> with all this [ __ ] I'm asking you a

73:38

very specific question.

73:39

>> chance that all these organizations are

73:41

involved in human rights.

73:42

>> 50/50 chance

73:43

>> Depending on the organization. SPLC, I'm

73:45

going to guess 95%. Yeah.

73:47

>> Amnesty International, you think is

73:49

50/50 that they're engaging in nefarious

73:51

[ __ ] to try to whip up people's

73:53

belief that there are human rights

73:55

abuses happening that are not happening.

73:56

You're saying it's a coin flip.

73:58

>> I think it's probably a coin flip, yeah.

74:00

That's what I would say today because

74:01

these organizations all got co-opted.

74:03

SPLC might have had a great origin

74:05

story, but now it is

74:07

>> your intellectual honesty and I

74:09

appreciate you saying that.

74:10

>> Well, I mean, just based on facts. So,

74:12

let's see what this

74:13

legal case brings about.

74:15

>> Well, let's be clear. This is not Let's

74:17

be clear.

74:17

>> them investigating SPLC, 100%.

74:19

>> When you bring a grand jury indictment,

74:21

you've already previewed the evidence.

74:24

This is not like some guy's trying to

74:25

whip up lawfare.

74:27

Okay?

74:27

>> Um actually, you don't have to bring all

74:29

the evidence, but that's a side thing.

74:31

And And they're very frisky about

74:33

allowing you to indict somebody as we

74:35

experienced with Trump.

74:37

>> Grand juries are a whole different

74:38

animal.

74:38

>> Yeah. They They will indict a ham

74:40

sandwich is the line. Um so, we'll see.

74:42

Let's give them their day in court is

74:43

always my position.

74:44

>> Well, I mean, regardless of what happens

74:46

in court, if it's true that the SPLC is

74:48

funding the Ku Klux Klan and the

74:51

American [laughter] Nazi Party,

74:52

>> ago, just so we're clear. They stopped

74:54

using confidential informants.

74:55

>> That's good enough for me.

74:57

>> loud, it's insane.

74:58

>> It's good enough for me.

74:59

>> You know, it's insane.

75:01

>> Here Here's the systemic problem with

75:03

nonprofits and NGOs. Is Let me just

75:06

contrast it with business. In business,

75:08

you set up a company, the company has to

75:10

make revenue, it has to make profits,

75:12

and if it doesn't, it's going to go out

75:13

of business, right? Because it'll lose

75:14

money. So, there's a feedback mechanism

75:17

from the market. The company has to

75:19

create products that people are willing

75:20

to buy, and those products have to make

75:22

money. With an NGO, nonprofit, what have

75:24

you, they raise money, they don't sell

75:27

things, they fundraise from donors in

75:30

order to engage in an activity. But what

75:32

happens over time is the actual

75:34

activities may stop mattering, and all

75:37

that really matters is they're able to

75:38

keep fundraising, right? Because they're

75:39

just trying to figure out a

75:41

justification to keep going back to

75:42

donors to get more and more money out of

75:44

them. That's how it perpetuates the

75:45

organization.

75:46

>> And they're trying to keep their job.

75:47

>> Exactly. And then, if it's an NGO that

75:50

gets money from the government, then

75:52

it's even worse, because all they do

75:54

from that point forward is try to lobby

75:56

the government to get more money. And it

75:58

doesn't really matter whether the

76:00

program is working or not. All that

76:02

matters is whether they can spin it as

76:04

working.

76:05

>> Why wouldn't the Southern Poverty Law

76:07

Center focus on Southern Poverty, which

76:10

is an issue that actually still exists

76:12

in some parts of the

76:13

>> Shouldn't that be a better thing? I

76:13

mean,

76:14

and why do you call it one thing, focus

76:16

on racism, and then all of a sudden whip

76:20

up

76:20

>> I'll tell you why. Here's my theory.

76:21

Here's my theory on it. Is I do think

76:23

that at one time in this country, civil

76:25

rights was a noble cause, a very

76:28

legitimate cause. We had the the legacy

76:31

of segregation and Jim Crow, and there

76:33

were groups that were set up to

76:35

basically change that, and they

76:37

succeeded.

76:39

But again, no one in an NGO or a

76:41

non-profit ever declares victory.

76:44

They're never going to say, "You know

76:45

what? Like we we addressed this problem.

76:47

We solved it." You know, I always

76:48

thought that in 2008 when when

76:50

>> me. Fire me. My job's done.

76:52

>> Yeah, well well when Obama got elected

76:54

in 2008, I thought that regardless of

76:56

whether you liked Obama or not or agree

76:57

with his politics, I thought that at

76:59

that point most people could see that

77:01

this was not a racist country.

77:03

>> 100%.

77:04

>> Whatever else you could say, the fact

77:06

that the highest office in the land was

77:08

not denied to any body showed that this

77:11

country was not holding people back

77:13

based on their skin color.

77:15

And instead of just basically packing up

77:17

shop and saying, "Okay, we've achieved

77:18

our goal."

77:19

>> [laughter]

77:19

>> The goal posts all got moved. Remember,

77:21

that's when the whole anti-racism thing

77:23

started was was around Obama's second

77:25

term. And what anti-racism was, it said

77:28

that

77:29

it's not good enough not to be just not

77:31

to be racist. You actually have to be

77:33

anti-racist, but what anti-racism meant

77:36

was was basically that all the

77:38

distributions had to match the

77:40

population. Basically, it meant equality

77:42

of outcomes, not equality of

77:43

opportunity. So, effectively

77:45

this whole goal post was moved from

77:48

equality of opportunity to equality of

77:49

results.

77:50

>> you see it, you can't unsee it. It's

77:52

like they sat around and they said, "Now

77:53

what?" And one person was like, "I got

77:56

an idea."

77:57

>> [laughter]

77:58

>> Well, and make race a symptom again.

78:00

>> Exactly.

78:01

>> if they just said if they just said at

78:03

that time, "You know what? We're going

78:04

to move the goal post from equality of

78:06

opportunity to equality of results.

78:07

We're going to basically make everyone

78:09

equal at the finish line, which is to

78:11

say I guess communism or or some sort of

78:14

identity socialism." People would have

78:15

said, "Uh no, we're not on board for

78:17

that." So, instead they created this

78:18

whole new terminology to justify it. It

78:21

has taken us years to unpack that and

78:24

realize what's really going on.

78:26

>> Gosh, I don't want to put myself in a

78:27

position of defending the SPLC. They

78:29

were partners with the FBI for a long

78:30

time. To your point, Chamath, or or

78:32

Sax's point, rather. There was probably

78:34

a time when it was important to

78:36

infiltrate the KKK and the Nazi groups.

78:40

>> It's not 2025.

78:42

>> not in 2026 like I think necessary to be

78:45

doing this work. I think more than four

78:47

people can handle it. Uh in 20 26.

78:50

>> to give you guys a newsflash. I just got

78:52

this just hit the wire. Um this is

78:54

really important.

78:54

>> Breaking news here.

78:56

>> America is profoundly less racist than

78:58

you think, okay?

79:00

>> There we go. Okay, breaking news.

79:02

>> Wake up.

79:03

>> Friedberg wanted to do a surprise

79:06

science corner. This is the first. We

79:07

don't know what he's about to talk

79:09

about, but David looks like he's been

79:11

working really hard and he needs a nap,

79:12

so Friedberg, you have the microphone.

79:14

Let's go.

79:15

>> This was not

79:16

>> Surprise science corner.

79:17

>> Yeah, this is not necessarily a big

79:19

surprise, but there was a really

79:21

interesting paper published this week

79:24

on trying to elucidate the underlying

79:27

cause or predictor of colorectal cancer.

79:30

So, I don't know if you guys know any

79:32

young friends, but colorectal cancer or

79:35

Nick, if you could just pull up this

79:36

first image, or colon cancer

79:38

has become now the third leading cancer.

79:42

Over the last 20 years or so, there's

79:44

been a scary rise in the number of young

79:46

people, people generally under 50 years

79:49

old that are getting colon cancer. That

79:51

number has climbed by

79:53

over 80% in just the last

79:56

two decades.

79:57

Historically, it's been an age-related

79:59

disease. So, as you get older, over 70

80:01

years old, your probability of getting

80:03

colon cancer shoots through the roof,

80:04

but this rise in young people getting

80:06

colon cancer has been pretty alarming,

80:08

and there's been a real question mark on

80:10

what is causing it. What's the

80:11

underlying

80:13

trigger.

80:14

So, this research team out of Barcelona

80:17

in Spain did an amazing study

80:19

where they looked at the difference in

80:22

the epigenome or the gene expression

80:26

in tumor cells

80:28

of patients that are under 50 years old

80:31

and those that are over 70 years old.

80:33

This sort of data will show you what

80:36

different environmental triggers are

80:39

associated with those changes in gene

80:41

expression. So, whenever we're exposed

80:43

to something in the environment, whether

80:45

it's some food or some drink or whatever

80:48

else it is, some chemical in the

80:49

environment, the cells in our body that

80:52

are exposed to that chemistry or exposed

80:55

to that environmental trigger

80:57

have genes that get switched on and off.

81:00

And you can see which genes are on and

81:02

off by looking at the RNA of those

81:04

genes, which tells you that those genes

81:06

are expressing RNA to make protein or

81:08

not make protein. And you can look at

81:10

that gene expression to determine what

81:13

is changing when a cell is exposed to a

81:17

particular environmental trigger. And

81:19

so, they were able to get these samples

81:21

of colon adenocarcinomas

81:23

from the Cancer Genome Atlas, which is

81:26

funded by the federal government. And

81:28

they were then able to take a look at

81:30

these cancer cells from colon cancer in

81:33

patients that are under 50 and patients

81:35

that are over 70, and look at the

81:37

difference in the gene expression

81:39

profile

81:40

and what um environmental triggers are

81:42

associated with that gene expression

81:45

profile. So, that will tell you, "Hey,

81:47

these environmental triggers are more

81:49

likely the cause or an underlying driver

81:52

of the risk of getting this colon

81:54

cancer."

81:55

And one thing rose to the top. So, they

81:57

looked at a whole bunch of things. They

81:58

look at lifestyle factors, they look at

82:01

eating index, how much you ate, how

82:03

overweight you were, alcohol, birth

82:05

weight. They adjusted for gender, they

82:07

adjusted for all these different things.

82:09

And as you look down this list, you'll

82:11

see this is the difference between

82:13

people that got colon cancer that were

82:14

over 70, when you typically have a very

82:16

high chance of getting it, and people

82:18

that are under 50, when you don't. And

82:21

what is going on with people under 50?

82:23

And you can see there's this one row

82:24

here that's all orange.

82:27

That row is a pesticide called picloram.

82:31

Picloram is a pesticide that was

82:33

developed by the Dow Chemical Company

82:36

in 1963.

82:38

This is the

82:40

chemical formula for that pesticide.

82:42

It's related to auxin, which are these

82:44

hormones that plants make. And in the

82:46

1960s, there was this big rush to try

82:48

and make synthetic plant hormones that

82:50

you would then apply to a plant. It

82:52

would cause the plant to overgrow, and

82:54

the plant would quickly die. And

82:56

picloram became a very widely used

82:58

herbicide

83:00

in our environment. It's used to manage

83:03

weeds in rangeland and pastureland where

83:05

cattle graze. It's used to control weeds

83:08

near roads and near railroads, on

83:11

industrial sites to clear weeds away

83:13

from highways and utility corridors. And

83:16

the problem with picloram, one of the

83:17

the things that's been known about it is

83:18

it's very persistent. It doesn't

83:20

biodegrade very well. Picloram sticks

83:22

around for well over a year. It stays in

83:25

the water. It moves into groundwater,

83:27

and it's persistently in the environment

83:29

after it's been used for some period of

83:31

time. I went back and looked at the EPA

83:34

data on this chemical. The last time

83:36

there was an EPA safety study done was

83:38

in 1995.

83:40

And so this was before we had this

83:41

capacity to do epigenomic studies like

83:44

what was just done to elucidate that

83:46

even though a chemical might not be

83:48

causing cancer immediately, and you

83:50

can't apply it to a cell and see it

83:51

trigger a cancer,

83:53

the long-term use or exposure to certain

83:56

chemicals in our environment causes a

83:58

change in the epigenome, which means

84:00

that these genes are being turned on and

84:01

off. And when certain genes are turned

84:03

on or off in the wrong way, it can

84:05

trigger cells in the tissue to start to

84:08

malfunction and go haywire, and

84:10

ultimately lead to cancer. And I think

84:12

that this paper shows a pretty strong

84:14

effect of picloram in driving colon

84:17

cancer in young people. It will very

84:19

likely lead, and it should lead to an

84:21

EPA review on whether this should be

84:22

legally allowed, but it should also lead

84:25

to a new mechanism by which we assess

84:27

chemistry that we're using in our food

84:28

supply, in our environment, in our

84:30

industrial applications, because we can

84:32

now look at all of this at sort of

84:34

epigenomic data to try and figure out

84:36

what are these chemicals doing to us

84:38

before we see them cause the problem.

84:40

So, I thought this was like an amazing

84:41

paper done by this team. They did a lot

84:43

of work to try and make sure that the

84:45

statistics were sound in the studies

84:47

that they did.

84:48

It really

84:49

uh I think elucidated something pretty

84:51

scary.

84:51

>> Is this like a Monsanto thing where like

84:53

one company makes it or

84:55

picloram is broadly available?

84:57

>> It's off patent now and so I'm pretty

85:00

sure my guess, I haven't looked into

85:01

this, but my guess is most of this is

85:03

made generically in China and then it's

85:05

probably packaged up with lots of

85:06

different brands in the US and all over

85:08

the world. So, it's one of these

85:09

chemicals that's just become ubiquitous

85:11

in our use

85:12

that just shows up everywhere, but I

85:14

think it really speaks to the fact that

85:17

historically, think about 1995, you can

85:20

look at what the immediate chemical

85:21

application of something does to a a rat

85:23

or a human cell and you can say like,

85:26

"Oh, it didn't cause cancer. It's good

85:27

to go. Let's go." You know, didn't

85:28

didn't cause quote toxicity.

85:31

>> Can I ask a question? In that study, are

85:33

you exposed to picloram based on where

85:34

you live

85:35

>> Oh, yeah. Sorry. That's a that's a great

85:37

question, Chamath. So, I was going to

85:38

talk about this. Thank you for asking

85:40

that. They then took that uh picloram

85:42

exposure and then they looked at all the

85:44

counties across the United States. They

85:45

were able to gather data where there was

85:47

enough data in California, Connecticut,

85:49

Georgia, Iowa, New Mexico, Utah,

85:51

Washington, and they were able to look

85:53

at picloram use estimates from the

85:55

Pesticide National Synthesis Project and

85:58

try and deduce in places where picloram

85:59

was highly used and not highly used. And

86:02

once again, it elucidated signal, which

86:04

is that when picloram was used in the

86:05

environment in the counties more

86:07

frequently, there was a much higher

86:08

frequency of colon cancer in those

86:10

counties.

86:11

>> And that R squared is weak or it's

86:12

strong?

86:13

>> Reasonably strong. The odds ratio is

86:15

like 3x. It's very strong.

86:16

>> This is accomplished Freeberg from a

86:19

combination of big data

86:22

and this uh science

86:24

>> I think it's important Yeah, I think

86:26

it's important

86:26

>> testing as well, right? So, you have

86:28

this confluence of increased testing,

86:31

increased data, you know, knowing where

86:33

these instances are occurring, and if

86:36

you add a layer of AI onto this

86:37

Freeberg, this is like a really positive

86:40

use.

86:41

Going back and looking at all these

86:42

compounds and figuring out which ones we

86:44

need to eliminate.

86:45

>> Yeah, so I'll I'll put my PCast hat on.

86:47

Thank you, David Sachs, for the role.

86:49

And I think this speaks to one of the

86:51

important roles that government has in

86:54

doing fundamental science and

86:55

fundamental research. So, the the

86:56

National Cancer Institute in the federal

86:58

government stood up this genome atlas

87:01

with a hundred million dollars a couple

87:02

years ago. They spend only a few million

87:04

dollars a year now to maintain it to get

87:06

cancer tissue samples and then create

87:09

the availability to scientists to use

87:11

those cancer tissue samples to do the

87:13

sort of epigenomic analysis this and

87:15

study supported by, you know, government

87:17

grants, or in this case supported by

87:19

a foreign university getting funding to

87:22

do it. And so, there's there's an

87:24

important role that fundamental science

87:25

still has in elucidating this that we

87:27

would have otherwise not been able to

87:28

see if we didn't have this resource

87:30

available to us from the federal

87:32

government and federal funding of

87:33

scientific programs like this. And that

87:35

leads to this discovery. You don't need

87:37

fancy AI for this, to be frank, Jay Cal.

87:39

There's an incredible amount of data

87:41

that's available or or resources that

87:43

are available. What's happened in the

87:45

last couple years is what's called RNA

87:46

sequencing where you can actually look

87:48

at which genes are on or off, not just

87:50

what's the DNA, but in the DNA, remember

87:52

we've talked a lot about the epigenome,

87:54

what genes are on or off, and how that

87:56

changes when you have different cancers

87:59

or when you have different chemicals,

88:00

and when you have a certain chemical

88:02

like picloram, your colorectal cancer

88:04

goes through the roof, and you can see

88:06

that relationship in those tissues. And

88:08

then you can put all the data together

88:09

and say, "Oh my gosh, there's a lot of

88:11

evidence here that points to this

88:12

connection. Very powerful. I think it's

88:14

important that it opens up the window

88:16

that this shouldn't just be a one-off

88:17

research project conducted by a team in

88:20

Spain, but maybe should be a fundamental

88:22

role that some of the government

88:23

agencies play, which is to stop

88:25

Americans and the world from getting

88:27

freaking cancer. Let's figure out the

88:28

things that we got wrong in industry and

88:31

go back and delete them out of our food

88:33

supply and out of our industrial supply.

88:35

And I think this is a really good

88:36

example of that.

88:37

>> So X, uh, how does Freeberg's focus on

88:40

Uranus, uh, in you know, inform your

88:43

co-leading of P-cast here? Are you going

88:45

to go deep into this colon research? How

88:48

deep do you plan on going? And how will

88:49

you get through eight of these

88:51

presentations a day at P-cast?

88:54

>> [laughter]

88:54

>> All right, it's all good. This is why we

88:56

hired Freeberg.

88:57

>> Yes.

88:58

>> By the way, did you guys

88:58

>> He's going to handle, uh, Mars, Neptune,

89:01

and Uranus.

89:02

>> Absolutely. He's [laughter] going to go

89:03

deep into Uranus and clean it up. We

89:06

need to clean up Uranus.

89:09

>> Uh, great work.

89:09

>> Anyway, Freeberg, great great work.

89:11

>> Anyway, I think I think this is

89:12

important and I don't think there's any

89:13

news attention on this since it came out

89:14

a couple days ago. So I thought it would

89:16

be worth bringing up on the show and

89:18

making people aware.

89:19

>> All right.

89:19

>> But thank you guys for sitting through

89:20

it.

89:20

>> Well, no, I think it's it's great work

89:22

you're doing there.

89:22

>> I just read the paper.

89:25

>> Yeah.

89:25

>> All right, everybody. That's it for

89:27

episode 270 of the world's greatest

89:29

podcast. I am your world's greatest

89:31

moderator. Thank you Chamath, David

89:34

Sacks, and David Freeberg for the

89:36

episode. To your friends, your

89:37

neighbors, and we'll see you all next

89:39

time. Bye-bye.

89:40

>> Love you boys. Bye-bye.

89:43

>> Let your winners ride. [music]

89:45

>> Rain Man David Sacks.

89:50

>> And I said

89:50

>> We open sourced [music] it to the fans

89:52

and they've just gone crazy with it.

89:54

>> Love you guys.

89:54

>> I'm Queen of King Wa.

89:59

>> Let your winners

89:59

>> [music]

90:00

>> ride.

90:03

>> Besties are back.

90:05

>> That is my dog taking a [ __ ] in your

90:07

driveway, [music] Sacks.

90:10

>> Oh, man.

90:12

>> [music]

90:18

[music]

90:26

[laughter]

90:31

[music]

90:36

>> I'm going all in.

Interactive Summary

In this episode, the hosts discuss SpaceX's acquisition of AI coding startup Cursor, analyzing the strategic implications of integrating AI development tools with massive compute infrastructure. They also delve into the financial challenges facing SaaS companies in an era where AI-driven agents disrupt traditional software business models. Furthermore, the episode explores allegations of fraud at the Southern Poverty Law Center (SPLC) and features a 'Science Corner' discussion by David Friedberg on a study linking a specific pesticide, picloram, to rising rates of colorectal cancer in young adults.

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