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AI Bubble Pops, Zuck Freezes Hiring, Newsom’s 2028 Surge, Russia/Ukraine Endgame

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AI Bubble Pops, Zuck Freezes Hiring, Newsom’s 2028 Surge, Russia/Ukraine Endgame

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2067 segments

0:00

in confidence. Sax told me he's a little

0:01

broken up about the empty nest kind of

0:03

thing. And by empty nest, I mean his

0:06

bulldog Moose is coming to live on the

0:08

ranch.

0:09

>> Has the moose landed?

0:10

>> The moose is landing next week. We're

0:12

giving him a 3month trial. If he's on

0:14

his best behavior, he stays.

0:15

>> He's going to be great. He's so well

0:16

trained.

0:17

>> What's going on?

0:18

>> Moose is our our bulldog.

0:20

>> Yeah.

0:20

>> And

0:21

>> Moose is loose.

0:23

>> He needs the space. He needs a ranch.

0:25

He's a very athletic bulldog. This dog

0:28

is not a couch potato. He's like very

0:30

active and he just needs the space to

0:32

run around.

0:32

>> Why don't you just buy a ranch and give

0:34

him his own ranch?

0:36

>> Why buy a ranch when a bestie has one

0:37

already?

0:38

>> Yeah. A bestie who loves bulldogs. But

0:40

no, he's a he's a spectacular specimen

0:43

of a bulldog. I mean, this is

0:45

>> stunning bulldog.

0:45

>> Yeah, he's a beautiful dog.

0:47

>> Great bulldog. He's

0:48

>> This is a trial adoption, a calacanis

0:51

adoption cycle. Oh my god, this is sad.

0:53

You know these bulldogs resist training

0:55

>> like Jason

0:57

>> you know like

0:58

>> you know they are they are the most

1:00

stoic loyal

1:02

>> Jason

1:02

>> but stubborn individuals they will

1:05

>> overweight stoic stubborn

1:08

>> overweight this is a spelt dog. How dare

1:11

you? How dare you? Moose is a specimen.

1:13

>> In terms of personality this is founder

1:15

market fit. I mean this is like owner

1:17

pet fit.

1:18

>> Founder bulldog fit. So what Moose would

1:20

do is he would jump on the couch and

1:22

just kind of lay there. So we' like,

1:24

"Moose, no, go down." So we put him

1:26

down. He jumps right back up.

1:28

>> We take him down. Jumps right back up. I

1:30

mean, he can go on all night doing this.

1:33

So finally, you just give in and let him

1:35

sit there.

1:36

>> It's literally J Couch.

1:37

>> It's literally They are.

1:38

>> Now it's his couch. Now it's his couch.

1:40

>> It's literally J.

1:42

[Music]

1:44

We'll let your winners ride.

1:47

>> Rainman David

1:51

>> and it said we open source it to the

1:53

fans and they've just gone crazy with

1:54

it. Love you.

1:59

>> All right everybody, welcome back to the

2:01

number one podcast in the world. We got

2:03

a banger episode for you today. all the

2:06

topics that you want to hear about in

2:07

the world. And with us, our amazing

2:10

crew, our chairman, dictator from Pio

2:13

Hapatia, enjoying the final moments of

2:16

summer. How you doing there, brother?

2:19

>> Well, I come back in a couple of days.

2:24

>> You get a little melancholy there,

2:25

brother? You a little sad?

2:27

>> I mean, I think

2:31

it should everybody should have a two to

2:33

three week vacation in August. I think

2:35

it should be mandatory around the world.

2:36

I think the world should stop

2:39

>> and we should all go on vacation.

2:41

>> Yeah. Well, you proved that to the

2:42

audience by not showing up for the show

2:43

for a couple of weeks. Yeah.

2:45

>> It's the best time to go on vacation.

2:47

>> I agree. I just literally got back from

2:49

a little

2:50

>> Take your ass off through the end of

2:51

July. Take two weeks off with your

2:53

family. It's nothing better. I

2:55

>> I just did a a little uh visit down to

2:57

Mexico City, which was absolutely

3:00

delightful. Rome is amazing. Have you

3:01

been there before, Jim?

3:03

>> No, but I've heard it's incredible. I

3:04

heard the food scene in Mexico City is

3:06

bananas.

3:06

>> It was bananas. And

3:09

>> the startup scene there is amazing. It's

3:11

kind of like if Spain and Williamsburg,

3:14

Brooklyn had a baby, like that would be

3:16

Mexico City. It's super hip, super fun.

3:18

Lots of young people, lots of energy.

3:19

Hey, speaking of uh young people with

3:21

lots of energy. Hey, Freeberg's back

3:23

with us in his cell working throughout

3:27

August to get incredible things done

3:29

like our AI summit and the All-In

3:31

Summit. Freeberg, uh, you gave up your

3:34

summer once again for the all-in crew

3:35

and for the audience. How do you feel?

3:37

You resentful or you feel good about

3:39

your decisions.

3:41

>> I live for the work, Jal.

3:42

>> You do. How's Aho doing? It seems like

3:45

you're um doing a lot of work there. You

3:46

got your head down. Just give us a

3:48

little update on the company.

3:49

>> I appreciate BS. There's a lot going on.

3:52

We're very busy.

3:54

I actually had a really cool test tube

3:56

here that we had a customer visit today.

3:58

H

3:58

>> I'll go find it. The world's first true

4:00

potato seed.

4:02

and we are ramping up production. Lot

4:04

going on. It's pretty exciting.

4:06

>> Yeah, sounds sounds thrilling. Saxs, any

4:08

uh thoughts there on potatoes and just

4:10

how thrilling this uh exercise has been.

4:14

>> What are we talking about?

4:16

>> We're just talking about Oh, Freeberg

4:18

had a thrilling summer. He's he's got a

4:20

new potato in a test tube that he's

4:22

working on. Just

4:23

>> Wait, did we invest? Is that in What's

4:25

going on with that?

4:26

>> Yeah, you're a shareholder.

4:27

>> I'm in. Okay. All right. Well, okay. I

4:29

care about you in

4:32

>> uh No, you did not me an investment.

4:35

>> I didn't I didn't get

4:37

>> Wait, is this a sore subject?

4:39

>> No.

4:39

>> Why?

4:40

>> No, it's a sore subject for me.

4:42

>> When this thing becomes worth 10 billion

4:44

and I didn't get to slide in a little

4:45

250 slice. Not even a slice, huh? Free

4:48

bird.

4:49

>> Look guys,

4:50

>> a slice for your friends.

4:51

>> They want They want value added

4:52

investors. Jal, what's your value ad?

4:54

Exactly.

4:56

>> A value ad. How about

4:57

>> spreading disinformation on this

4:59

podcast?

5:00

>> Okay. Yeah. All right. Well, since I'm

5:02

not on the cap table, good luck with

5:04

your mutant potatoes.

5:06

Uh disinformation.

5:11

Mutant potato. Oh, we'll get through it,

5:13

folks. We'll get through it. Hey, uh

5:15

Zach, you and I did a little interview

5:16

with a certain senator. Give us an

5:18

overview. Yeah, we did a great interview

5:20

with Senator Eric Schmidt from the state

5:22

of Missouri who previously was attorney

5:24

general and wrote a book about his

5:25

experience as attorney general. He

5:27

brought the lawsuit Biden v Missouri

5:29

which exposed the Biden administration's

5:32

censorship apparatus that they ran

5:34

through social media companies. This was

5:36

the government's side of the the Twitter

5:38

files and the discovery he brought when

5:41

married with the Twitter files that Elon

5:43

released really paint a picture of how

5:45

the government was in bed with social

5:47

networks to basically censor Americans

5:49

free speech rights in favor of their

5:51

point of view on co and many other

5:53

issues. So

5:54

>> great conversation.

5:56

>> Yeah, it was spicy and uh it's

5:58

everywhere where you can find allin. But

6:00

we got this big event coming up. The

6:01

summit is coming folks. Here we go for

6:03

the fourth time in just a few weeks.

6:05

September 7th to the 9th. I think uh 8th

6:07

and 9th are the main days. Man, this

6:09

lineup is stacked. Alex Karp, Vlad from

6:13

Robin Hood, my guy, Energy Secretary

6:15

Chris Wright and I are going to have a

6:17

great discussion part two. Wow. Uber CEO

6:20

hitting an all-time high. Circle CEO,

6:22

just an incredible lineup here. And

6:25

Freeberg, it looks like we've got some

6:26

great partners. Yeah.

6:27

>> First of all, the event is going to be

6:29

very expensive to put on this year. We

6:32

actually have in addition to the great

6:34

speakers, we have Diplo headlining one

6:37

of the main parties,

6:38

>> the Diplo.

6:39

>> Yeah. Gary Richards and Dylan Francis.

6:43

And so we have a huge set of blowout

6:45

parties every night. It's going to be

6:46

awesome to put all this on. They pay for

6:48

the event. We want to thank the

6:50

sponsors. So Salana, big shout out. They

6:52

were a sponsor last year and they're

6:53

stepping up as a big sponsor this year.

6:55

Big shout out to our friends at Salana.

6:57

They're amazing. They support everything

6:58

we do. They're doing over a 100 million

7:01

transactions a day. It's unbelievable

7:03

what they're getting done over there.

7:05

Great team. And they're going to do a

7:07

full open bar for us uh Sunday. Juice

7:09

Bar Coffee, the works classy team over

7:11

there. And we don't just have like these

7:12

typical sponsorships of events. What we

7:14

do is we ask, you know, our partners,

7:17

hey, make an activation, make a place

7:19

for the besties and for the fans to

7:21

hang. And they've all created these

7:23

amazing experiences. And there'll be

7:26

matchas and espressos and craft beers

7:29

and sushi and all kinds of great stuff.

7:31

And to our friends at OKX,

7:34

they're going to be coming back. They're

7:36

building an onstage. Got a matcha bar

7:38

coming. All these great things by our

7:39

partners. Google Cloud's back offering

7:41

350K in credits to Google Cloud for

7:44

startups. What mentions they are over

7:46

there. Google's crazy. Look at this,

7:47

man. They're putting out a mini campus

7:49

at the summit and uh yeah, 350K in cloud

7:52

credits has become Athletic Brewing's

7:54

back. They're doing the scholarships

7:55

again. We have a couple of scholarship

7:57

slots left. Please don't apply for the

8:00

scholarships if you have means to buy a

8:01

regular ticket. But if you do need a

8:03

scholarship, please do apply if you're

8:04

an upandcomer. Allin.com/summit

8:08

or allin.com/ yada yada yada.

8:11

>> Did you guys see this?

8:12

>> What's going on now?

8:13

>> Apparently, I was in the new South Park

8:15

episode.

8:16

>> The whole thing was around the sick

8:17

offensity of AI.

8:20

That's you.

8:20

>> Do I say anything in the show or is it

8:22

just I'm just in the background?

8:25

>> Uh, no. They had a line of people giving

8:27

tributaries to the president, you know,

8:29

based on the Apple gift that Tim Cook

8:31

gave to our amazing president. It's a

8:33

funny episode. You know what I like

8:34

about the administration? Like JD

8:36

actually retweeted all this stuff and

8:37

and you know had it's good fun. We we we

8:39

get to mock our civil servants.

8:41

>> That's the vice president to you.

8:43

>> That's was what I said. My guy JD. What

8:45

did I say?

8:45

>> Suddenly on a first name basis.

8:47

>> My guy JD. Hold on a second. Let me just

8:49

say hi to JD here and I'll just get his

8:50

feedback. I'm going to invite him to the

8:51

diplo party. Hold on.

8:53

>> Your biggest nightmare is here. Me and

8:54

Chris Wright also talking directly now.

8:56

I'm directly plugged in.

8:58

>> Oh yes. Chris, right? I'm bringing him a

9:00

special gift to the summit. You're going

9:01

to be you're going to love it. All

9:02

right. We got to talk about AI. AI

9:04

mainet hit a bit of a detour this week.

9:06

All over the, you know, three or four

9:07

days, AI stocks were down across the

9:10

board because of this MIT study that

9:12

went viral as well as Sam Alman's

9:15

comments about a bubble and Zuck

9:18

instituting a hiring freeze in AI after

9:20

going on a complete blitzkrieg. So,

9:22

let's get into it. Act one, Monday,

9:24

Fortune dug up a generative AI study

9:27

that MIT published last week or last

9:29

month, I should say. In that study, MIT

9:32

found that 95% of Geni pilots are

9:35

failing to make it to production because

9:37

of employee resistance, poor quality

9:40

output, and the most interesting problem

9:42

seems to be resource misallocation.

9:45

According to the study, 70% of JN AI

9:48

budgets are going towards things like

9:49

building sales and marketing tools,

9:50

which have poor ROI. The highest ROI was

9:54

found in back office optimization

9:57

like automating tasks that cut back

9:59

spends you know on various departments.

10:02

Basically

10:04

these pilots aren't working. Shamath is

10:06

what the study found they evaluated 300

10:09

AI implementations and interviewed 150

10:12

leaders across 52 companies. You've been

10:14

grinding it out with your own software

10:17

company now called 8090.

10:20

Does this align with what you're seeing

10:21

on the field, Jama?

10:23

>> I think what I would tell you is that I

10:25

think the first wave was just a lot of

10:28

boards who read the words AI somewhere

10:32

in an article and then went to a board

10:35

meeting and turned to the CEO and said,

10:36

"What's your AI strategy?"

10:38

>> Mhm.

10:38

>> And then the CEO turns around and sends

10:41

that down into their or eventually hits

10:44

the CTO's desk. And I think the first

10:45

wave is mostly people just spending

10:48

money because they had large existing

10:49

budgets. And so they were like, let's

10:51

just go and try a bunch of different

10:52

things. And I think now we're going

10:54

through the sorting function of

10:56

realizing that there's a big difference

10:58

between probabilistic software and

11:00

deterministic software. That's probably

11:03

the biggest reason why you're seeing so

11:05

many failure modes in sales and

11:06

marketing. It's very hard to codify

11:08

sales and marketing into a set of

11:10

heruristics that never change. But back

11:11

office processes,

11:14

why they're so good and a great target

11:18

for AI is ultimately you have so many

11:20

people that have been hired to deal with

11:21

edge cases, right? I think like that's

11:23

what people do in most companies is

11:25

they're in charge of a process and

11:26

they're they're dealing with edge cases.

11:28

And I think that you can get extremely

11:30

high rates of accuracy if you implement

11:32

AI correctly in back office tasks.

11:35

I think the real question is like what

11:37

happens to all of this revenue that has

11:40

been generated. You're seeing companies

11:42

generating $50 million of ARR in a

11:45

matter of months and then raising huge

11:48

rounds. I think what we haven't seen is

11:50

whether there'll be any sort of either

11:52

logo churn or dollar churn as new

11:57

companies come in with even cheaper

11:58

solutions. the foundational models move

12:00

up the stack and just absorb capability

12:03

or things just don't work and they get

12:04

abandoned. All of that churn happened in

12:08

social. I remember when I was in the

12:11

middle of helping build Facebook, we

12:12

went through that whole cycle. There was

12:14

seven or 8,000 social companies

12:17

>> and within six years there was five of

12:21

us left. It happened in SAS when I was

12:24

investing in SAS. There's a couple of

12:26

very early and important successes like

12:27

Yammer which Sax started which I was

12:31

very lucky to be an investor of but then

12:33

it took many years for the handful of

12:35

winners to get really sorted out and I

12:38

suspect we're about to go through that

12:39

same cycle in AI. So I think that

12:41

article basically paints a very accurate

12:43

picture. There's been a lot of triing

12:45

and experimentation.

12:47

We now need to go through a sorting and

12:49

a cleansing and then we'll rebuild from

12:51

first principles around the

12:52

>> and not surprising

12:54

not surprising to our sultan of SAS

12:56

David Sachs because the sales and

12:59

marketing departments they they're very

13:01

promiscuous when it comes to new tools

13:04

getting a great lead closing a sale you

13:06

can directly connect it so we always see

13:08

them test stuff out doesn't surprise me

13:10

that we'd see sales and marketing go

13:12

after this first but what do you think

13:14

about the brittleleness of this revenue

13:17

the churn sachs. Are we going to see a

13:20

lot of these companies rocket up to 100

13:22

and come back down to 50? Is this

13:24

something you're seeing uh or your your

13:26

firm which I don't know your status at

13:28

the firm? Maybe you could tell us how

13:29

how that's working out in terms of your

13:31

intelligence there, but what is craft

13:32

seeing on the field there?

13:34

>> I think we're seeing a lot of

13:36

interesting AI applications being

13:38

developed, but it's still very early

13:40

days. And I think that over the past

13:42

week or so, there was a correction in

13:45

sentiment towards AI, but I think it was

13:48

a healthy correction. I don't think this

13:50

was the beginning of a bus cycle or

13:52

something like that. I I still think

13:53

that we're in a boom. I still think

13:55

we're in a investment super cycle, but I

13:57

think there was a healthy dose of

13:58

skepticism applied to some of the more

14:01

fantastical claims that have been made

14:02

about AI. And I think this is why you

14:04

saw there was like roughly what, like a

14:05

10% correction in public AI stocks. And

14:08

there was that MIT report that said that

14:12

95% of projects and companies are are

14:15

not making it to production yet and so

14:16

forth and so on. So I feel like we're

14:17

getting in the weeds a little bit here

14:19

and what we should be talking about is

14:20

just sort of where we are in this um in

14:22

this AI super cycle.

14:23

>> And where do you perceive us at? We're

14:25

in the experimentation phase. We're in

14:27

the pilot phase. But this issue around

14:30

probabilistic versus deterministic makes

14:32

it hard to trust this software. Is that

14:34

what you think the key issue is? Well,

14:36

let me tell you why I think that this

14:37

correction is actually healthy is that

14:41

after Chat GBT launched at the end of

14:43

2022 and then throughout 2023, the

14:46

dominant narrative in AI is that AGI was

14:48

just two to three years away. And

14:51

everyone kind of had their own

14:52

definition of AGI was, but it was kind

14:54

of this idea of smarter than human super

14:56

intelligence and kind of magic AI. AI

14:59

would be able to do everything. And as a

15:02

result of that, you kind of had both

15:05

utopian and dystopian narratives really

15:07

proliferated. And so, you know, you

15:10

started getting this like job loss

15:11

narrative that within a few years, 50%

15:13

of knowledge workers would be out of

15:14

jobs. You got this rapid takeoff

15:17

narrative that basically the leading AI

15:19

models would be able to turn their

15:21

intelligence towards improving

15:23

themselves towards recursive

15:24

self-improvement and therefore within a

15:28

couple of years the leading models would

15:29

basically achieve super intelligence and

15:31

leave everyone else in the dust and then

15:33

capture all the value of humanity and

15:35

then based on that narrative which again

15:38

it was the same underlying narrative

15:40

that fueled both utopian and and

15:43

dystopian or doomer takes on AI. You got

15:46

I think a huge backlash which has

15:49

already been forming where you have a

15:51

thousand bills running through state

15:52

legislatores right now and you have all

15:54

this AI safety legislation. You got

15:57

bills like in California the SB 1047

16:00

which would have applied tremendous

16:02

amount of of new regulation to AI. So

16:04

you saw this policy backlash happen as

16:06

well. And it was all based on these

16:09

fantastical and kind of magic views of

16:12

what AI was going to do in just the next

16:13

two to three years. And I think that the

16:16

reason why this recent skepticism is

16:18

healthy is because I think it's rebuting

16:20

all of that. And it's showing that, you

16:23

know, AI is a powerful tool. I mean, I I

16:26

definitely think it's a new and

16:27

important form of computing and it is

16:29

going to unlock tremendous value in the

16:31

economy, but it's going to take us a

16:32

while to get there. I mean, you can't

16:34

just tell the AI, you know, be a sales

16:37

rep, be a customer service rep, and kind

16:39

of throw it over the wall and expect

16:41

that it's going to replace a human. It

16:43

takes a lot of prompting and iteration

16:46

and validation to make the AI work, to

16:49

make it generate business value. And if

16:52

we were on a path towards rapid takeoff,

16:56

then what you would see is that the

16:58

leading AI models would be increasing

17:01

the distance between like the top one or

17:03

two models would be increasing the

17:05

distance between, you know, the rest of

17:07

the models. And instead, what we're

17:08

seeing is a clustering of model

17:10

performance around the same performance

17:12

bench.

17:12

>> Incremental, right? They're

17:13

incrementally

17:14

>> the progress to be a little bit more

17:15

incremental. It's more evolutionary

17:16

rather than revolutionary. And I I think

17:19

this really crystallized around the

17:20

launch of chat GPT5 where a lot of

17:23

people were expecting GPT5 to be this

17:27

huge breakthrough. Sam Alman was sort of

17:29

teasing this concept by posting photos

17:30

of the Death Star that the idea that

17:33

this model was going to blow everybody

17:34

else away and the reviews ended up being

17:37

very mixed and then we saw that on the

17:38

performance evaluations.

17:40

>> It's not that the model didn't represent

17:41

progress, it just fell short of these

17:44

lofty expectations that have been

17:46

created. So Freeberg, let me get you in

17:48

on this

17:49

>> just to sorry I've been kind of

17:50

longwinded here, but just let me just

17:51

sum this up, which is please I think

17:54

that what people can now see is that

17:56

we're not in like a a loop of recursive

17:59

self-improvement. We're seeing that

18:00

there are a handful of of great model

18:02

companies, but the development of this

18:04

technology is going to be a more normal

18:07

technology race. It's not like the

18:10

leading players just all of a sudden get

18:12

achieve AGI just very quickly. And as a

18:15

result of that, I I think because it is

18:17

a more normal technology race, I think

18:20

we can apply a more normal logic to it

18:24

from both an investment and a policy

18:27

standpoint. And I think that a lot of

18:29

the narratives that were hyped up about

18:32

imminent doom or imminent utopia,

18:34

depending on what side you were on, were

18:36

just massively overhyped. And this is

18:38

why I think it's just a very healthy

18:39

thing. By the way, the other concerning

18:41

thing is it's concerning when models

18:44

successively don't get meaningfully

18:46

better, especially because there's a

18:48

tendency for incremental models to get

18:50

overfit to benchmarks. That's another

18:53

concerning thing that I think people

18:54

were like scratching their heads about.

18:56

And if you look at the last big set of

18:58

model updates, X of Grock, they didn't

19:01

really meaningfully improve their

19:02

separation from the last generation

19:04

model on the big benchmarks that matter.

19:06

And that's also very concerning because

19:08

they tend to overfit to begin with.

19:10

>> Yeah. And I would just say that, you

19:12

know, another just piece of evidence

19:14

here is that the model companies are

19:15

still leaprogging each other to some

19:17

degree with their latest versions. And

19:19

again, that should not be possible if

19:20

one model achieved rapid takeoff. The

19:22

other thing you're seeing is that it's

19:24

not like one model is dominating all the

19:26

other models. You're seeing that models

19:29

are developing areas of competitive

19:31

advantage. They're becoming increasingly

19:32

specialized. They have different

19:33

personalities. If chatbt has been

19:36

accused of being sick of fantish, grock

19:39

is maybe more based. I mean they have

19:41

different modes that they excel at.

19:43

Google I think has gotten really good at

19:44

video for example. Anthropic is is

19:47

really good at coding. The

19:48

specialization really belies this idea

19:51

of one model becoming all knowing and

19:53

all powerful. We're seeing a

19:55

proliferation now of specialization.

19:59

>> Let me try to get Freeberg in here.

20:01

Altman appeared to compare the AI craze

20:04

to the dotcom bubble according to CNBC.

20:07

Here's the quote. Are we in a phase

20:09

where investors as a whole are over

20:11

excited about AI? My opinion is yes. Is

20:13

AI the most important thing to happen in

20:15

a very long time? My opinion is also

20:16

yes. And then a quote from Sam Waltman,

20:19

another quote, I think we totally

20:20

screwed up some things with the roll out

20:21

of GPT5. So he's kind of admitting that

20:23

Freeberg. What does this mean in terms

20:25

of the massive investment opening out

20:28

was talking about $500 billion. So is

20:31

this in do you think if you were to game

20:34

what Sam is saying here maybe he wants

20:37

it to cool off maybe these investments

20:40

are too large given the problem and the

20:43

progress. What what's the game on the

20:44

field here, Freeberg, in terms of the in

20:46

massive investment that people are

20:48

claiming this is going to require if

20:51

we're not seeing the results in

20:54

corporations

20:55

>> like the big capex investment because

20:57

most of the capital that's been raised

20:58

has been raised by the model companies

21:00

and most of it's been deployed into

21:02

chips, right, in data centers,

21:04

>> right? So does that make sense right now

21:06

or do we does that need to cool off as

21:07

well while these companies prove hey we

21:11

can get some things done in corporate

21:13

America?

21:15

So I think one one of the key things

21:19

that's being understood so you know the

21:20

internet was

21:22

being connected there was connectivity

21:25

and and fiber being deployed

21:28

in a rate that exceeded the economic

21:31

value creation by the end users on the

21:32

internet during the dotcom boom and so

21:34

as a result the dot boom was a became a

21:37

bubble that burst but the ultimate

21:39

promise of the internet was realized

21:41

many orders of magnitude greater than I

21:43

think you know most folks

21:45

declared and proclaimed at the time. It

21:47

was just delayed by a few years. I think

21:49

it's likely to be the same here. Whether

21:51

this particular capex cycle is going to

21:53

have that ROIC or not, I think is is a

21:55

bit TBD. But I think there's kind of

21:57

three big trends

21:59

underway that are worth noting. The

22:00

first is that there's a realization now

22:02

that you need to pair humans and human

22:05

engineering with the generative tools

22:08

that these generative AI systems are

22:10

providing. So you can get a bunch of

22:12

code written, but you still need to

22:14

debug the code. You still need to get it

22:16

into production. You still need to get

22:17

it to integrate. So this kind of pairing

22:20

of humans with AI is something that's

22:22

being learned. What's the right model?

22:24

It's not that you just turn on

22:25

generative AI and it runs your business

22:26

for you. It's like where does it fit in

22:28

the org? Who are the people that run it?

22:30

How do they use it? Etc. And then

22:32

similar to that, I think we're seeing a

22:33

lot of partner models being developed.

22:35

So rather than have like a Sora or a

22:37

video model just generate a movie, it

22:41

turns out that you can use the

22:42

generative AI to generate the objects

22:45

and then use an existing rendering

22:47

engine like Unity to actually make the

22:50

video. So those sorts of pairing models

22:52

where you use what's being called a

22:54

deterministic system or an existing

22:56

piece of software that integrates with

22:58

generative AI can accelerate outcome. So

23:01

filmmakers can now make AI movies by

23:04

coupling the AI generative tools with an

23:06

existing offtheshelf kind of rendering

23:08

system. And that works a lot better than

23:10

just telling the AI make a bunch of

23:11

video where then all the people look

23:13

different. You can't control the

23:14

objects, you can't change the camera

23:16

angle, you can't change the framing, the

23:17

color, the lighting, all the features

23:19

that you may want to otherwise control.

23:21

So layering AI on top of the existing

23:23

system seems to be the right answer. And

23:25

I think we're seeing that not just in

23:26

film making or digital content creation,

23:28

but in other areas as well where the AI

23:30

provides almost like a substrate that

23:32

can sit on top of existing tools and

23:34

just be like a marionette and do a

23:36

better job.

23:36

>> And I think I think the third key thing

23:38

that we're seeing that's causing a bit

23:40

of the observed hiccup is this movement

23:43

to SLMs. And you guys have seen a bunch

23:44

of these papers from Nvidia and others

23:46

that have shown performance improvements

23:48

by actually moving away from one large

23:50

model that does it all to much smaller

23:52

specialized models that work in a

23:54

specific task in a specific application

23:56

or that work together as a network of

23:58

models. And my personal belief on this

24:01

is actually that these models are going

24:02

to move towards SLMs that we don't

24:04

understand how and why they work the way

24:06

they do in a network fashion because

24:07

today we're designing the SLMs in a

24:09

deterministic way. We're saying this is

24:11

an SLM that does X, Y, or Z. But if the

24:13

models eventually get developed by other

24:15

models, those SLMs will become really,

24:18

you know, not well understood, but

24:20

they'll work in a network. The reason

24:22

that's important is because this

24:24

rearchitecturing of these systems

24:26

dramatically reduces the energy cost and

24:28

the dollar cost per token generated. And

24:30

so it brings down the cost and the

24:32

runtime of these systems. So to your

24:35

point Jal, the capex investment suddenly

24:38

gets much higher ROIC rather than the

24:41

challenged ROIC that it's dealing with

24:42

today because the systems are so energy

24:44

and cost inefficient today. So if the

24:47

architectural redesigns work, then these

24:49

systems become much more efficient, 10x

24:51

100x more efficient. And I actually

24:53

think at that point token production

24:55

will go way up, not way down. So those

24:59

are three big trends that I see kind of

25:01

underway right now that might be

25:02

architecting the overall kind of

25:03

ecosystem and and probably causing some

25:05

of the observed hiccups. Jac, what do

25:07

you think? Is it like do you think

25:08

there's a big slowdown underway? I mean,

25:10

>> yeah, I mean it's this is following

25:12

exactly

25:13

the technological curve that we see.

25:15

Nick, you can pull it up here where

25:17

we've seen this with smartphones and the

25:19

internet itself, but the trough of

25:21

disillusionment is probably where we're

25:23

living right now because there were so

25:24

many expectations. you know, this

25:26

innovation comes out, people get really

25:28

excited, massive amounts of money is

25:30

invested, and then people wonder, hey,

25:32

was this a good investment or not, and

25:34

then it just takes incremental

25:36

improvement over time. We saw this with

25:38

Uber, as an example, where people were

25:41

like, oh, it'll never be profitable,

25:42

never be profitable, profitable, Door

25:44

Dash will never work. And then they just

25:45

added a couple of bucks and it scaled

25:47

globally. The network effects kicked in.

25:49

We're going to see it again with

25:50

self-driving. self-driving is actually

25:52

probably just getting through the peak

25:54

of inflated expectations where people

25:56

are starting to realize, oh, these edge

25:58

cases are pretty serious. You probably

26:00

don't want these things going too fast.

26:01

You're going to need to be very

26:02

thoughtful about putting them on roads.

26:06

And um that leads to a really intact

26:10

we should have at some point on this

26:12

program about should that be federal or

26:14

local. Should the local states get to

26:16

decide self-driving rules on their roads

26:19

or should the federal government come in

26:20

and make a blanket one? But looking

26:24

specifically at the sales one, we're

26:26

seeing on the field that maybe the

26:28

salespeople aren't being replaced by AI,

26:31

but the SDRs are becoming 10 times like

26:35

literally 10 times more effective at

26:36

finding the next lead at organizing

26:39

leads and targets. So, it's definitely

26:42

happening, but it's incremental inside

26:43

these organizations and it's just going

26:45

to take specialization and people have

26:47

to actually embrace the tools. That's

26:49

probably the biggest thing is there's a

26:52

lot of resistance to these tools

26:53

already. And um once you get people

26:57

actually embracing them, they start to

26:58

work. But if people aren't going to

27:00

embrace them and there's some

27:01

resistance, it's kind of like what we

27:03

saw with the internet. Yeah.

27:04

>> Here's a big question that I have. You

27:07

know how at some point like you get so

27:09

invested

27:11

in a way of doing things that

27:14

when things change, it's almost too hard

27:17

to change the way your company orients

27:21

and you see it in every single phase of

27:24

these big innovation cycles. The

27:27

question is, is there a point at which

27:29

these foundational model companies have

27:31

invested too much money in LLMs

27:34

where so many of their employees only

27:37

understand that and all of a sudden

27:39

there are completely different ways of

27:42

building these models. State space is

27:44

one example, but then you know some new

27:47

entrant decides to build a completely

27:49

different kind of representation. They

27:51

may also then build custom silicon for

27:55

it. All of those things have yet to

27:56

happen and the reason is we're really

27:58

only a few years into what should be a

28:01

multi-deade innovation cycle. So those

28:04

are like some really important questions

28:06

because then you have this problem of

28:08

the sunk cost fallacy of well we spent

28:11

all this money on this LLM based

28:13

approach and now all of a sudden there's

28:15

this thing that comes around the corner.

28:17

That's the thing that I'm really curious

28:19

about and waiting for is will there be

28:21

these small teams

28:24

and it may take advantage of what

28:25

Freeberg said. He uses an LLM as a

28:27

jumping off point but then builds an

28:29

entirely different approach is able to

28:31

generate entirely different and cheap

28:32

silicon. That hasn't happened yet. And

28:35

the reason it hasn't happened is not

28:36

because it doesn't make sense but it's

28:38

because we're so early into it.

28:40

>> Yeah.

28:40

>> And then what do these big guys do? The

28:42

big guys have spent tens of billions of

28:45

dollars.

28:46

>> Yeah.

28:47

on all kinds of stuff, human capital,

28:51

opex, capex.

28:53

So it's going to be it's going to be

28:55

really interesting.

28:56

>> Well, this study actually addresses this

28:58

purchasing of AI tools from specialized

29:00

vendors. Those succeeded two out of

29:03

three times. So the statistics in that

29:05

early study seem to um indicate you're

29:08

right about that Shimath is if you're

29:10

doing something very specific and we've

29:12

got a couple of companies doing very

29:14

specific things like Tax GPT is one of

29:16

our uh companies we incubated and

29:18

they're only going after you know tax

29:20

and CPAs and being a co-pilot for them.

29:23

Those things seem to be succeeding

29:24

faster than going to a general model and

29:27

asking tax questions to it. There's also

29:30

all this other stuff that people never

29:31

talk about that are very practical

29:33

realities of building a So, for example,

29:35

we've been selling into the enterprise

29:36

at 8090. We'll do this year, this is our

29:38

first full year of business. We'll do

29:39

about $40 million of bookings

29:41

>> in the first year.

29:43

>> Yeah, that's crazy.

29:44

>> And it's all back office type stuff. But

29:48

our first customer where we delivered

29:50

enormous gains, we were fired.

29:53

And the reason we were fired was not

29:55

because the technology wasn't working,

29:57

but it's because as it goes lower and

30:00

lower from the board and the CEO into

30:04

the bowels of the organization,

30:07

you actually run into huge push back.

30:10

And I think that there's going to be

30:11

that cycle that we have to deal with as

30:12

well, which is in all of these AI

30:14

businesses, there's all kinds of stuff

30:17

that scare people. And there are many

30:20

people in decision-making roles at many

30:22

of these companies that will have to

30:23

sort out where's their comfort level.

30:26

And it was like one of these things

30:29

where I was like, well, what are we

30:30

supposed to do? We escalated and blah

30:32

blah blah and it got resolved. But my

30:33

point is that I think is a cycle that

30:35

has yet to play itself out in all of the

30:37

Fortune 2000, global 2000. I would not

30:40

expect that the AI boogeyman that has

30:44

been created doesn't have some negative

30:46

ramifications over the next couple of

30:47

years as well as this stuff gets sorted

30:49

out.

30:49

>> The last piece is the talent war. On

30:51

Tuesday, the New York Times reported

30:52

that Meta was looking at downsizing its

30:55

AI division as part of a larger

30:57

restructuring. Wall Street Journal then

30:59

reported Meta has a hiring freeze across

31:02

the AI divisions, which is just crazy

31:04

because just eight weeks ago, Zuck went

31:07

crazy. He was trying to buy Ilia's uh

31:10

super intelligent startup. You remember

31:12

Ilia declined. So Zuck poached Daniel

31:14

Gross. Meta Aqua hired the scale AI team

31:18

and then they agreed to invest 14

31:20

billion in that. Sam Walman claimed Zuck

31:23

was making hundred million offers

31:24

regularly for open AI talent. I'm

31:27

curious, you know, what you think of

31:28

that Sachs is the talent war seemed to

31:31

go insane for a couple of months and now

31:34

is pausing. What's your take on all this

31:38

I don't know uncertainty boom bust cycle

31:40

in such a compressed period of time or

31:43

is this just

31:44

>> I mean you you were seeing founders

31:45

turning down multi-billion dollar

31:47

acquisition offers for startups that

31:50

hadn't even released a product yet as if

31:52

those types of offers grow on trees and

31:55

they don't I mean these types of hundred

31:57

million or billion dollar job offers

31:59

>> they don't come along very often I mean

32:02

you have to be at kind of the sweet spot

32:04

of a boom cycle and you need a huge

32:06

company with tons of money that feels

32:08

like it's strategically vulnerable and

32:11

is at risk of being left behind. And if

32:13

you get a confluence of those factors,

32:15

then you can get kind of crazy offers

32:17

like that. But they don't come along

32:19

very often. I think that what Meta is

32:21

doing is probably digesting a little

32:23

bit. They've now made a bunch of talent

32:25

acquisitions. They've done some aqua

32:27

hires at, you know, very expensive aqua

32:30

hires and they're probably just

32:31

consolidating a little bit. Like I said,

32:33

I don't think this is the bust part of

32:35

the cycle. I don't think that a bubble

32:37

has popped or anything like that. I

32:39

actually think that we're still probably

32:41

early to the middle of this investment

32:44

super cycle. And it's just a healthy

32:47

correction in sentiment here that people

32:48

are realizing it's going to be a little

32:51

bit harder and take more work than just,

32:53

oh, the AI is going to figure out how to

32:54

improve itself and we get to super

32:56

intelligence. That was always a little

32:57

bit of a fantasy.

32:59

Mera should have taken the billion

33:00

dollar offer from Zach or Ilia should

33:02

have taken the 30 billion Sachs. I mean,

33:04

these things never happen. And as you're

33:06

saying,

33:06

>> I mean, I guess it depends how much they

33:08

have in the bank account. You know, if

33:10

if they're already like billionaires

33:12

from whatever they did before, then then

33:14

maybe it doesn't matter. But if you were

33:16

just starting out, for example, and

33:18

didn't have any money in the bank,

33:19

that's a pretty hard thing to turn down.

33:21

I mean, realistically,

33:23

>> yeah,

33:24

>> they probably they probably sold a bunch

33:26

of OpenAI equity at 300 and 500 billion.

33:29

>> They're both Open AI co-founders, so

33:31

>> they seem like they're free rolling, so

33:32

they have no incentive to sell.

33:34

>> Yeah. Which is fine. It's just that

33:36

there's a lot of people who've never

33:37

been through a bus cycle before. And if

33:40

they think that this is the normal state

33:42

of the world, they're going to be sorely

33:44

mistaken.

33:45

>> By the way, you're right, Sax. It's hard

33:47

to build as you know cuz you did a a

33:49

billion dollar company that then exits

33:51

for more than a billion. It is hard

33:53

>> right where you justify that valuation

33:55

based on fundamentals. So right now

33:57

we're in a part of the cycle where you

33:59

can justify that valuation

34:01

>> based on it strategic value to a multi-t

34:05

trillion dollar market cap company. But

34:07

that only lasts while those companies

34:09

are in the market for strategic

34:11

acceleration.

34:12

>> Yeah. if they're behind, if they're

34:13

stuck,

34:15

>> then you have to make your company work

34:17

on its own as an actual business.

34:19

>> And to get to a $30 billion valuation

34:22

based on fundamentals, that is

34:24

extraordinarily difficult. I mean, that

34:26

implies, you know, multiple billions of

34:28

revenue, actual revenue.

34:30

>> Does somebody want to underwrite 500

34:31

billion for OpenAI common shares?

34:33

Anybody think that that is a good trade?

34:35

>> I'll make the I'll make the bull case.

34:37

I'll make the bull case.

34:38

>> Yeah, please. Yeah. I think the simplest

34:39

way to make the bull case is if you look

34:41

at the kager on their mouse and the

34:44

conversion from ma to dows.

34:47

You essentially take a small minor

34:50

percentage of the Facebook or Google

34:52

terminal arpoo and apply it to some

34:54

number of ma dows 3 4 years from now. So

34:57

if I had to guess, if you take 4 500

35:00

million MADO growing at I'm guessing,

35:03

let's just be conservative%

35:05

>> 700 million weekly active users right

35:08

now.

35:09

>> 750. Okay. So then so then I would

35:11

probably put that at like 500 DAO to be

35:14

conservative. It's probably doubling

35:16

every two years. So 500 goes to a

35:19

billion, billion goes to two in four

35:21

years. And at 2 billion DAO, they

35:25

generate a tenth of Facebook's revenue.

35:27

Just to be very conservative and you

35:29

probably get to a trillion five

35:31

valuation there,

35:32

>> right? So it's you could you could

35:33

triple up on that bet.

35:34

>> Yeah. I mean, look, OpenAI has actual

35:36

revenue. I mean, they they have actual

35:38

revenue because they have subscriptions

35:40

and they appear to have the dominant

35:42

position in the consumer space and it is

35:45

a replacement for a lot of people for

35:47

search, which is the most lucrative

35:49

franchise on the internet. And this is

35:51

one of their applications. So I actually

35:53

think that you can make that case,

35:56

you know, pretty comfortably. But can we

35:59

could we go back to a point you were

36:00

making before Jal about in the survey

36:03

that the attempts to just apply some

36:05

sort of generalized AI model didn't work

36:07

very well like 95% of the time it didn't

36:10

succeed in these large enterprises. But

36:12

if they used a more specific vertical

36:14

application or vertical model or an SLM

36:17

approach which is more a smaller

36:19

specialized model then it showed much

36:21

greater success. I mean that makes a lot

36:23

of sense to me is that in order to drive

36:26

business value there's a lot of what I

36:27

would call last mile problems right like

36:30

LLMs need context and so you have to

36:33

first of all connect to all of your

36:34

enterprise data sources and you have to

36:37

prompt them in a very detailed way in

36:39

order to get to a good answer and then

36:42

you have to validate that answer to make

36:43

sure it's not a hallucination and then

36:45

you need to iterate on it and so this

36:47

idea that you're just going to have one

36:49

super intelligence that just figures all

36:51

this stuff out it's just not the way

36:53

it's playing out in the real world.

36:54

You're seeing again a lot of very

36:56

specific business problems that have to

36:58

be solved. But I I think that this is a

37:00

great thing ultimately for the ecosystem

37:04

because it implies that you're going to

37:05

get lots of vertical applications and

37:09

lots of specialized models that capture

37:13

value in lots of different markets. And

37:16

that that's actually the way that we're

37:17

going to drive this throughout the

37:18

economy as opposed to it just being one

37:20

foundation model eating all the value.

37:22

So I I think this is a very healthy

37:23

thing for the ecosystem.

37:25

>> Yeah, it makes total sense that the

37:27

vertical systems would feel more

37:29

deterministic sacks because they're

37:31

giving they have a tighter problem set,

37:34

a tighter data set to actually come to

37:36

an answer. Whereas the, you know,

37:39

probabilistic,

37:40

you know, just asking an LLM to come up

37:42

with a business plan for you, it it just

37:45

feels like it could be 80% correct, 90%

37:47

correct as opposed to 99% correct, which

37:50

the vertical ones are actually getting

37:52

very good at getting the correct answer.

37:54

Okay, let's talk a little bit.

37:55

>> That last 10% is fundamental and that's

37:57

where you get all the the last mile

37:59

problems. And you have to understand the

38:01

the industry in order to solve the the

38:03

problems of how you kind of go from

38:05

let's say 90% accuracy or effectiveness

38:08

to 99 which is where the business value

38:11

is.

38:11

>> Well, and you use last mile sax. I think

38:13

it's quite appropriate if you look at

38:14

self-driving which is the tip of the

38:16

spear I think in this argument. Whimo

38:19

has a bit more deterministic model.

38:21

They're they don't have uh safety

38:24

drivers. Robo taxi has safety drivers

38:26

for a good reason. They're using a

38:27

probabistic model and they're getting an

38:30

intervention every, you know, x hundreds

38:32

of miles, let's say, which means if you

38:34

were to use it daily, you're going to

38:36

have, you know, an intervention, I don't

38:39

know, every week or two. And obviously,

38:41

they'll iterate and they'll get that

38:43

down to the same level as Whimo. But on

38:46

what timetable, Freeberg, on what

38:48

timetable do you see a probabilistic

38:50

model like Elon is pursuing with his

38:53

robo taxi program versus the more, you

38:57

know, deterministic one? When do you

38:58

think those cross over? Do you have any

39:00

insight as a scientist or any guess?

39:03

>> I don't know.

39:04

>> Yeah, that is the 10 trillion dollar

39:06

question is when will that problem be

39:08

solved? All right, let's talk a little

39:09

politics here. According to Poly Market,

39:11

Gavin Newsome is the early favorite in

39:13

the 2028 Democratic

39:17

presidential race. So, who gets the

39:18

nomination? So, here's some background.

39:20

Newsome is surging in a couple of polls

39:21

this week. Uh, here's one from Politico

39:24

that asked California Democrats and

39:26

left-leaning independents who their

39:29

preferred candidate would be in 2028.

39:31

Newsome came in first with 25% of the

39:33

vote. Then, Kamla, your favorite Sachs

39:35

and Pete Budajedge, AOC, your favorite

39:39

uh Chimath there. Tim Waltz, another one

39:41

of Sax's favorite. And the odds have

39:44

jumped about 9 percentage points on Poly

39:46

Marketers for Poly Market Newsome at 28,

39:49

AOC at 14, and a bunch of people, you

39:52

know, in the single digits that you

39:54

could probably guess. So, your thoughts

39:56

on the early information here? Does this

39:59

is any of this even valid, Sax, in your

40:01

mind, or is it just too much time

40:02

between now and then? Well, I think it's

40:04

valid in the sense that you're seeing

40:06

Democrats react positively to what

40:10

Newsome is doing. And what what Nuome is

40:13

doing is mirroring Trump's style in an

40:17

attempt to to again give Democrats what

40:19

they want, which is they they they want

40:21

a Trump of their own. And despite

40:24

Democrats figning objections to Trump's

40:26

style, that this is really what they

40:28

want is they they want someone who they

40:30

perceive to be a fighter. That said, I

40:32

think there are two problems with

40:35

presumptively crowning Gavin as the

40:36

nominee three years in advance. One is

40:39

that what Nuome is doing here is

40:42

completely performative. Everyone can

40:44

see that he's acting and he's aping

40:46

Trump's style or what he thinks is

40:48

Trump's style. Whereas Trump is

40:49

completely authentic. Trump is always

40:51

Trump and everyone understands that and

40:52

there's something very authentic and

40:54

likable about that. Whereas I think that

40:56

Gavin comes across as being synthetic or

40:59

plastic and you don't really have a

41:01

sense of who the real person is. And I

41:04

think trying to pretend to be the left's

41:07

version of Trump only I think reinforces

41:09

that that problem that he already had.

41:12

So one is authenticity. The other is

41:14

that I think that Democrats make a huge

41:17

mistake if they think that Trump's

41:20

popularity is based on his style. I

41:24

mean, it's true that Trump has a

41:26

trillion dollar personality and that is

41:28

very helpful in politics, but ultimately

41:31

I think the reason why Trump has done so

41:33

well for a decade is because he's been

41:35

on the right side of a bunch of core

41:38

issues in American politics that other

41:40

people just weren't focused on or

41:41

weren't talking about.

41:42

>> Cities seems to be one that heads up

41:44

versus

41:46

Gavin Newsome will become one of the

41:49

attack vectors or one of the grand

41:50

debates. Jeffreyburg, you have

41:52

California's,

41:54

you know, descent into madness in the

41:56

major cities and then obviously Trump is

41:58

cleaning up DC from a very first

41:59

principled basis like, hey, you can't

42:01

camp here. Period. Full stop. So, what

42:04

do you think the chances are here,

42:05

Freedberg, that this new strategy going

42:08

on the podcast, having a podcast, being

42:10

spicy on social media is going to work

42:12

for Gavin or you in Sax's camp? It's a

42:16

bit performative and maybe not fake. And

42:18

by the way, Gavin Newsome, can't wait to

42:20

have you on the pod. Go ahead, Freeber.

42:22

>> I would say that the current polling is

42:25

a reflection of the nonTrump aligned

42:30

markets response to Trump.

42:33

And so it will change certainly over

42:36

time as the results of the

42:38

administration's actions bear out, etc.

42:41

One way to think about this or forecast

42:42

this is what is the reaction going to be

42:45

to this administration? I think there's

42:48

a, as I've talked about many many times,

42:50

a very high probability that someone

42:52

who's a little bit more socialist

42:53

aligned is going to end up being kind of

42:55

thrust forward here. And I think AOC

42:57

fits the bill there. So then I think the

42:58

question is what's the Republican

43:01

response going to be to the choice they

43:04

may have in trying to prop up or frame

43:07

up one of those two candidates. And I

43:10

think frankly there may be some group

43:12

that would say we would rather be up

43:14

against the socialists because they're

43:15

going to look like idiots and we're

43:17

going to win. And so there's going to be

43:19

weirdly support for a socialist-like

43:22

candidate. The other side is the honest

43:26

moderate question which is who would you

43:27

rather have as president? A socialist or

43:30

Gavin Newsome? And I do think a lot of

43:32

moderates would say if I had to pick

43:33

between those two excluding the

43:35

Republican candidate, I would want to

43:37

pick the moderate. I would want to pick

43:39

Gavin

43:39

>> Chimath. What issue will determine the

43:42

midterms and then the 2028 election?

43:44

Look at your crystal ball there,

43:45

Chimath. And

43:47

>> tell us what you see.

43:50

>> Yeah, midterms might be easier to to

43:52

think about. Right.

43:53

>> I think the midterms are going to be

43:54

about the economy, but the economy is

43:56

going to be a window into a lot of these

43:59

other issues, the safety security issue,

44:01

the immigration issue, the tariff issue.

44:04

rates. I think rates are going to be an

44:06

enormous swing factor here. I think

44:09

Powell is really holding on white

44:11

knuckled to a position that probably

44:14

doesn't

44:16

underly the the data. So, I think in the

44:18

short term it's just going to be more of

44:20

an economic up or down vote for the

44:22

Trump administration. Many things I

44:24

think are positive and in their control,

44:26

but there are a few things that are not

44:27

in their control. In 2028, I don't know.

44:29

The one thing I would say about the

44:31

candidacy though is like I I don't know

44:32

if you guys remember, but when the

44:35

Republican

44:36

primary process started, the person at

44:39

the top of the polls at the time was Ron

44:42

DeSantis. And I said, "You do not want

44:45

to be ahead early. These people never

44:47

win. They never win.

44:49

>> They take all the arrows and peak too

44:51

early."

44:52

>> No, it's it's not even that. It's just

44:53

like they never win. So if I had to

44:55

apply that rubric here, what I would say

44:57

is

44:59

the practical choice

45:01

that the Democratic voters will have is

45:06

to actually ask whether they want a

45:09

replay of California

45:11

on an American 50-state scale.

45:15

And if you look at it through that lens,

45:17

I think Gavin Newsome is going to have a

45:19

very difficult path because of what has

45:22

transpired over his tenure as the

45:25

governor. And he's going to have to

45:26

explain away a lot. So I think that in

45:29

the absence of real choices, I think

45:31

that he's the clear winner. What is that

45:33

phrase? In the land of the blind, the

45:35

oneeyed man is king sort of a thing.

45:38

I think when you actually go into the

45:41

election cycle starting after 26 in 27

45:46

honestly it's going to be up in the air.

45:47

What I will tell you is that the way

45:48

that the electoral college is set up and

45:51

the voting dynamics for the presidency

45:53

is set up a socialist cannot win.

45:57

But the way that the democratic

46:00

primaries are set up a socialist can

46:02

absolutely win. So this is the sort of

46:05

Saxis point which is I think for the

46:08

Republican side the best outcome is a

46:11

very radical agenda that isn't really

46:13

supported by substantive

46:16

facts and is more supported by vibes.

46:19

This is what I feel. I just feel it

46:21

should be right. And I think that those

46:23

things may win a primary but will just

46:25

get destroyed in a federal election.

46:27

What about you? The world's greatest

46:28

moderate. What do you think? pretty

46:30

clear that the socialist movement is

46:32

happening and that is going to inspire a

46:34

lot of young people to come out like

46:36

they did in New York from Mandami and I

46:38

think you have to think about what the

46:39

platform is. I agree the economy will

46:41

determine the midterms, but I would look

46:43

ahead at the core issues we've discussed

46:46

here many times, Freeberg. And if I was

46:49

advising the Democrats, I would smash

46:51

the Republicans where they don't speak

46:55

up about important issues to the

46:56

American

46:58

voter and where young people feel they

47:01

are being ignored. So, what would I say

47:03

if I was them, if I was running their

47:05

platform in 2028? I would go with real

47:08

wages that are stagnant and Trump

47:09

doesn't talk about that. In fact, he's

47:11

cutting taxes on the rich. They got a

47:13

credible attack vector right there that

47:15

nobody's talking about the minimum wage

47:17

and Trump doesn't care. JD doesn't care

47:19

about you or the minimum wage or your

47:20

wages. I would go after education being

47:23

unaffordable and again Trump and JD

47:25

don't talk about that. Then I would go

47:27

after housing. Republicans don't talk

47:28

about that. They don't talk about

47:30

housing. And then I would go right at

47:32

the immigrant issue and I'd say,

47:34

"Listen, America's for immigration. This

47:38

country was built off of immigrants and

47:40

JD and Trump want to pull up the ladder

47:42

behind everybody and not allow other

47:44

people to immigrate to this country

47:45

after they benefited from it." That's

47:47

the perfect attack vector for beating

47:51

the Republicans in 2028. Housing, wages,

47:54

education, and healthcare. These are

47:56

things you never hear Trump talk about.

47:58

You never hear JD talking about these.

48:00

And I think that that's the way to if

48:02

they want to beat them all the time.

48:05

>> It's it's way down the bottom of the

48:06

list.

48:07

>> No, they talk they don't they when's the

48:09

last time what's Okay, so tell me Jim,

48:11

what is the proposal?

48:12

>> Wages went up significantly in Trump's

48:14

first term and then they started

48:15

stagnating again under Biden and that's

48:16

the whole purpose of his trade policy is

48:18

to encourage reshoring of manufacturing

48:21

in the United States.

48:21

>> Tax bill,

48:22

>> he passed a huge tax bill that locked in

48:24

all these gains. No tax on tips. You can

48:27

debate the impact to the broad

48:29

population, but there are enough

48:31

examples where actual take-home wages

48:34

are higher than what they would be in a

48:35

counterfactual.

48:36

>> Yeah. And by the way, Gavin Newsome has

48:39

a supermajority in the California

48:41

legislature. He can run the state

48:43

however he wants. He also has a very

48:45

compliant court that will rubber stamp

48:47

his decisions. Completely different than

48:49

Trump who has a very narrow majority and

48:51

and he has a court that basically tries

48:52

to stop everything he does. So Gavin

48:54

Newsome can run the state. He could be

48:57

operating the state for the benefit of

48:58

its citizens instead of holding all

49:00

these performative press conferences and

49:02

doing podcasts and tweeting all day. So

49:04

where where is the program that you're

49:06

talking about? It doesn't exist.

49:08

>> It's a fine criticism, but if if the I'm

49:10

talking about the Democrats as a group,

49:12

if the Democrats came out and just said,

49:14

"We're going to add a dollar to the

49:15

federal minimum wage every year for the

49:17

eight years we're in office," that would

49:19

fly with the American public. They said,

49:20

"We're going to build." That's not a

49:22

strategy.

49:22

>> You can make that argument. I'm just

49:24

telling you what the winning argument

49:25

is. The winning argument is

49:26

>> Well, no, you're just saying whatever it

49:28

takes to get elected, but giving stuff

49:30

away is not adults make hard decisions.

49:32

>> You mean like giving people no tax on

49:35

their overtime and no tax on their tips?

49:38

Those kind of giveaways, Jamal,

49:40

>> those that's helping middle class and

49:43

working class. I

49:43

>> I don't disagree, but to the point of

49:45

giving away free stuff doesn't work, it

49:47

actually does. It does get people out to

49:49

vote. People were very motivated when

49:50

they heard those proposals by Trump. I'm

49:53

saying they should just take that

49:54

proposal and 10x it. That's a way to

49:56

win. I'm not saying it makes sense. I'm

49:58

not saying I'm endorsing it. I'm just

49:59

giving you the playbook.

50:00

>> Okay. Well, what I would do to to fight

50:02

your your playbook of empty promises is

50:04

I would actually talk about the record

50:07

of the candidate.

50:08

>> Exactly.

50:09

>> And I think we're talking about a state

50:10

like California, which is thoroughly

50:11

blue and has been run by Democrats now

50:13

for a long time. And Gavin probably will

50:15

be the nominee because I do think that

50:18

his performative antics are working with

50:20

the base. I mean, they wanted an

50:21

anti-Trump, but the the way to attack

50:24

this is to talk about the record here.

50:26

So,

50:27

>> let's just go through some of the

50:28

numbers. So, as we all know, we pay the

50:30

highest taxes in the country for the

50:31

worst public services. Gavin's spending

50:34

turned a $75 billion surplus into a $20

50:37

billion deficit in just a couple of

50:39

years. And somehow none of that money

50:41

went to fill the reservoirs or fire

50:43

hydrants. And so, we had entire

50:45

neighborhoods burned down as a result.

50:46

And they can't get permits to rebuild.

50:49

California has the fourth largest

50:51

economy in the world. So that's good.

50:53

But we have the highest rates of

50:54

poverty, homelessness, inequality,

50:57

illiteracy, and wage stagnation. So yes,

51:00

wage stagnation, JCAL, is the highest in

51:03

the country. And we have the third

51:05

highest unemployment among the 50

51:08

states. We're second only to Hawaii in

51:10

housing costs. So, you want to talk

51:12

about making promises to lower housing

51:14

costs, but if you look at blue states

51:16

like California, they're among the

51:18

worst. We're the worst in energy costs,

51:21

and we have the highest rate of both

51:22

retail crime and frivolous lawsuits. And

51:25

that's why businesses are moving out of

51:26

the state. You may have seen that Bed

51:28

Bath and Beyond said that even as

51:30

they're opening 300 more physical

51:32

stores, they're not going to return to

51:33

California. And this just got the CEO

51:36

mocked by Nuome because he never

51:38

actually takes any of the criticism to

51:41

heart. He just sort of deflects it. So

51:44

until the Democrats, I think, confront

51:47

why they really lost. Okay. And it's

51:50

it's not just because of the style of

51:53

Trump. They want to just attribute it to

51:55

Trump's style, but the reality is it's

51:57

because of the the policies

52:01

>> and it's about the record. And until

52:03

they're willing to confront those things

52:04

and change their policies, then I think

52:06

they're going to continue losing.

52:07

>> I put into Grock the following question.

52:09

And the reason I asked the question this

52:11

way is I think that the three most

52:12

credible candidates that have a record

52:15

to run on on the Democratic side are

52:17

Gavin Newsome, Gretchen Whitmer, and Wes

52:20

Moore. So I asked Grock, rank Michigan,

52:23

California, and Maryland. So three

52:25

Democratic states run by three very

52:27

popular, well-known Democratic governors

52:29

on three metrics. quality of life, cost

52:32

of living, and crime

52:35

and summarize that into a ranked overall

52:38

list. Right? So, pretty standard plain

52:40

vanilla question. And at the end, I I

52:45

can publish this later if you want, but

52:47

at the end, the final overall rankings

52:50

were Maryland first excels in quality of

52:52

life and has the lowest estimated crime

52:54

rates with a moderately high but

52:55

manageable cost of living. Michigan,

52:58

most affordable with decent quality of

53:00

life and moderate crime, making it a

53:02

balanced choice.

53:04

California, high quality of life in

53:07

terms of opportunities and lifestyle,

53:08

but severely hampered by high costs and

53:10

elevated crime rates. And there's all

53:12

kinds of detail, but I was just giving

53:14

you the final summary. So, I think that

53:16

when you get into a Democratic primary,

53:20

those are three people that will run.

53:24

And I think Democratic voters will have

53:26

to choose what record do I want to put

53:29

up to vote for the broad voting American

53:33

public. Is it California's? Is it

53:35

Maryland's or is it Michigan's? And if

53:36

you just do a quick AIdriven analysis,

53:40

Wes Moore, then Gretchen Whitmer, then

53:43

Gavin Newsome, just on the facts.

53:45

>> Yeah, makes sense. Freak, your thoughts

53:47

on the the platform I put out there or

53:49

anything else with this 2028 discussion

53:51

as we wrap up? No, I think the

53:53

socialists are going to continue to grow

53:56

their momentum and

53:58

you know it'll be fun. See what happens.

54:02

>> Okay, here we go. So, Trump had a busy

54:04

week. He met with Putin, then Zalinsky

54:06

and some of the leaders in Europe.

54:08

Sachs, this is your time to shine. We

54:11

didn't talk about this yet because it

54:12

happened after we taped, but last

54:13

Friday, Trump met with Putin in Alaska.

54:15

A lot of hand ringing around that.

54:17

Lasted about three hours. No ceasefire

54:19

was reached. That was uh the stated goal

54:21

of it. And on Monday, Trump

54:25

>> the state of the goal.

54:26

>> Okay, I'm just going by what Trump said

54:28

when he was on his way there that he

54:30

wanted a ceasefire. And then the on

54:33

Monday, Trump met with Zilinsky and a

54:35

bunch of European leaders at the White

54:37

House. first inerson meeting since that

54:39

argument. You remember back in the

54:41

overall office in February and uh

54:44

included the EU president,

54:46

NATO secretary general, chancellor of

54:48

Germany, Italy and UK showed up as well.

54:52

your your thoughts on where we're at

54:53

with the Ukraine and if we're going to

54:56

get a ceasefire, a peace negotiation or

54:59

a peace settlement or if the United

55:02

States is just going to walk away

55:03

because it seems like Trump is a little

55:04

perturbed by the progress here and he

55:07

has said, you know, maybe it's just up

55:09

to them to figure it out and he'll be

55:10

done with the whole thing.

55:12

>> Your thoughts, Saxs?

55:13

>> Well, I think that the the Alaska summit

55:16

was major progress. I think that first

55:18

of all, the president deserves enormous

55:19

credit for reestablishing diplomacy and

55:22

communication with the Russians. There

55:23

literally hasn't been a meeting between

55:25

the US president and the Russian

55:27

president since 2021 while this war is

55:30

going on and while the war has continued

55:32

to escalate. I guess the Biden

55:33

administration's policy was just to

55:35

ignore the Russians and roll their dice

55:37

and hope that the war didn't escalate

55:38

out of control. In any event, I think

55:41

Trump deserves a lot of credit for again

55:44

reestablishing that diplomatic

55:45

connection and trying to use diplomacy

55:46

to end the war. And it was shocking to

55:49

see how much Democrats in the media were

55:52

openly rooting for him to fail in these

55:54

efforts to end this war. And

55:56

effectively, they're rooting for

55:57

hundreds of thousands of more people to

55:59

die or get maimed.

56:00

>> They were pretty hysterical, right, on

56:02

the news. It was pretty crazy.

56:03

>> Yeah. And by the way, they they claim

56:05

that they care about the Ukrainian

56:06

people, but the Ukrainian people by

56:08

large majorities now want this war to

56:10

end and they're willing to make

56:12

meaningful concessions to do it. So

56:14

there was a poll by Gallup, which Nick,

56:16

maybe you can throw this on the screen

56:19

where a year or two ago something like

56:21

70% of Ukrainians wanted to keep

56:23

fighting the war. Now that number is

56:25

down to 24%. Again, the vast majority

56:27

are looking to achieve a peace. And I

56:29

think that President Trump and President

56:31

Putin made some important progress in

56:34

terms of getting to an eventual peace

56:36

deal. And I think there are a few planks

56:38

here. Number one was the recognition

56:41

that we should try to get to a

56:42

comprehensive peace deal, not a

56:44

ceasefire. A ceasefire is temporary. And

56:47

the Russians have already said they

56:48

wouldn't do it because they understand

56:49

from their point of view that this would

56:51

just give the Ukrainians time to regroup

56:53

and rearm and try to reset, but it

56:56

wouldn't end the war. And the truth of

56:57

the matter is that when you're fighting

56:59

a war and losing, you don't get to call

57:01

a timeout. So the Russians have been

57:03

rejecting this idea of a ceasefire for

57:05

months. And I think that it was wise, if

57:09

our ultimate goal is to get to a deal,

57:11

to recognize that the comprehensive

57:13

peace deal is what we want to get to. So

57:15

that's point number one. Point number

57:16

two is that President Trump acknowledged

57:19

that Ukraine would not be joining NATO,

57:21

which was the key source of the friction

57:24

and the thing that ultimately led to

57:25

this war. So I think that definitively

57:28

taking NATO off the table I think was a

57:31

very important precondition to getting

57:32

to an eventual peace. And then I think

57:35

the third thing was that the parties

57:38

both the Russians and the Americans

57:40

agreed that there would have to be

57:42

territorial concessions of some kind.

57:44

And we don't know all the details yet.

57:46

There was some conversation about land

57:48

swaps. But the point of the matter is

57:50

that we're not going back to the prewar

57:54

status quo ante. The Russians have taken

57:57

the big chunk of territory. The

57:59

Ukrainians have not been able to get it

58:01

back. People are trying to blame Trump

58:02

for this somehow. But the real cause of

58:05

this is the failure of the counter

58:07

offensive in the summer of 2023.

58:08

Remember, we gave the Ukrainians

58:10

something like hundred billion dollars

58:11

worth of weapons to retake that

58:14

territory. And it was an abysmal

58:16

failure. They didn't even make it past

58:18

the first Survivican line. That is the

58:20

real cause of why the Ukrainians are

58:22

going to lose territory in this war is

58:24

they're simply not able to retake it.

58:26

And I think there was a a general

58:28

recognition coming out of that Alaska

58:30

summit that there would have to be

58:32

territorial concessions. And I think in

58:35

these three pillars, I think you have

58:36

the basis for a comprehensive peace

58:39

deal, which is again, number one, we're

58:41

going for a peace deal, not a ceasefire.

58:43

Number two, no NATO. And number three,

58:45

we have to recognize the realities on

58:47

the ground. Now, I think the big

58:49

question mark, I think we could get to a

58:50

peace deal pretty quickly if Zalinsky

58:53

and the Europeans were willing to

58:55

acknowledge these three points, but so

58:56

far they have not been willing to

58:58

acknowledge those three points. And I

59:00

think this is one of the things that if

59:02

you're listening to the remarks the

59:03

following Monday when the Europeans came

59:05

to the White House, there was no

59:07

recognition. They were still clamoring

59:09

for a ceasefire, you know, again, which

59:10

the Russians had rejected as opposed to

59:12

a comprehensive peace. They were still

59:14

clamoring for NATO and they were still

59:17

rejecting the idea of any territorial

59:18

concessions including even Crimea which

59:21

was lost over a decade ago. So I think

59:25

that the issue we have right now is that

59:27

Zalinski

59:29

and the Ukrainian government, not the

59:31

people, but the Ukrainian elite and some

59:33

of these European countries that are

59:35

backing him are not willing to make the

59:38

compromises necessary to achieve a peace

59:40

deal. And as President Trump has said,

59:42

at the end of the day, you need the

59:43

Russians and the Ukrainians to agree. So

59:46

I think that President Trump deserves

59:47

enormous credit here for reestablishing

59:49

diplomacy, for making substantial

59:51

progress towards a comprehensive peace

59:53

deal. But at the end of the day, unless

59:55

Zinsky starts being willing to make

59:57

compromises, I don't know how you're

59:59

going to get to that deal.

60:00

>> Yeah. Freeberg, Dave, any thoughts on

60:03

this?

60:04

>> No.

60:04

>> Negotiation? Shim, anything? Well, I was

60:07

pretty curious about the

60:10

historical pattern of this. So, I just

60:12

went back and here's what I learned.

60:14

What's interesting to note is that since

60:16

1945,

60:18

so not assuming, you know, conflicts in

60:20

Africa because they are not really quite

60:23

part of the western political global

60:26

order per se, it's important to ask the

60:28

question like how have other

60:31

territorial disputes panned out. So

60:33

there are disputes that end in

60:35

stalemates and when you end up in a

60:37

stalemate you basically arrange a DMZ

60:40

demilitarized zone type arrangement. So

60:43

there's one in Korea right 1953 to now.

60:46

There's one in Cyprus 1974 to right now

60:49

and there's one in Kashmir 1947 to

60:52

today. And then there's this kind of

60:55

thing in between Israel and Lebanon. And

60:58

then second, there are disputes where

61:00

there's some action taken by one country

61:02

to take something by force, but then

61:04

there's no consensus

61:06

internationally

61:08

as to who owns a territory. So Crimea,

61:11

as Saxs mentioned, 2014 to present, and

61:13

then Israel and West uh East Jerusalem,

61:16

sorry.

61:18

So I think the point is that unless

61:21

President Trump figures out a way to do

61:22

something that's frankly truly

61:24

unprecedented, the historical pattern is

61:26

that it's been nearly impossible for

61:28

even the most powerful and influential

61:30

person in the world to frankly draw

61:33

deals

61:36

in these kinds of situations, especially

61:38

when they become protracted. And I think

61:40

that's what he's getting to when he

61:43

reinforces these things never would have

61:45

started or gotten this far had I been

61:47

president. You know, that's what he says

61:50

in quotes. And I think this is what he's

61:53

referring to, which is that the longer

61:54

these things get drawn out and

61:56

particularly with Russia, Ukraine, and

61:58

Israel, Gaza, you're talking about

62:00

conflicts and historical

62:03

issues that have been simmering for

62:06

hundreds of years and in some cases

62:07

thousands of years all the way back to

62:09

the antiquity. So, I don't know. I I

62:12

just think that it's an incredibly

62:14

incredibly difficult position and

62:18

I just don't know what's going to

62:19

happen. But I think that for modern

62:22

progress to happen, I think it's

62:24

important for both of these two issues

62:27

to get put to bed as quickly as

62:28

possible.

62:29

>> Jake Al, what do you think? And we saw

62:30

the media attacking Trump for even

62:32

daring to hold negotiations with the

62:34

Russians. Do you think this was a good

62:35

idea or do you think that somehow uh

62:37

Trump was caving to Putin?

62:38

>> I give Trump a lot of credit. He is

62:40

incredibly good at foreign policy and

62:43

specifically with dictators. If you look

62:45

at our past presidents, they didn't want

62:47

to meet with Putin. They didn't want to

62:48

meet with Kim Jong-un, Kim Jong-il. They

62:51

thought uh isolation was the best

62:53

policy. It's not. I think talking to

62:55

these folks and trying to find common

62:57

ground is the best policy. Even if it's

62:58

a 5% chance of it actually working out,

63:01

which is what I think any president

63:03

dealing with a dictator and a death spot

63:05

like,

63:07

you know, Putin is going to have. I

63:09

think you have a 5 or 10% chance. And I

63:12

think Trump and Biden actually had a lot

63:15

in common that worked. the lone leasing

63:18

of the weapons and not costing the

63:20

American taxpayer any money where a lot

63:22

of partisan people said, "Oh my god,

63:24

this is costing the Americans so much."

63:26

It's actually Trump has figured out a

63:27

way to make it profitable. He's selling

63:29

more weapons to Ukraine and he got us

63:31

the mineral rights. It turns out Trump

63:33

was able to turn a cost center or a

63:36

supposed cost center into a profit

63:38

center in terms of this specific war.

63:41

And if you look at the sanctions, Trump

63:45

has increased the sanctions. So Trump

63:47

had my exact position that I fought for

63:49

here on this podcast for the past couple

63:51

of years in this conflict, which was

63:53

keep the pressure up on Putin. And Trump

63:57

took it over the top by going to Putin's

64:01

main client for his oil now, which is

64:03

India, and putting a massive tariff on

64:05

them and threatening them with a huge

64:06

tariff. That was a bold, audacious way

64:09

to deal with Putin. So, I give Trump a

64:12

ton of credit for trying to make peace

64:15

here. And Putin has been, Hold on, let

64:17

me just finish. And Putin has been

64:19

absolutely humiliated. He can't even get

64:22

to Kev, let alone take over Finland or

64:24

Poland. And this has cost Russia, their

64:28

greatest customer, which is the EU,

64:31

Germany. These people are never going to

64:32

buy his oil again. Not after what

64:34

happened here. And that you can give a

64:37

lot of credit to Trump because he told

64:40

them when they built their oil pipelines

64:42

that the Germans were lunatics for doing

64:44

that and for creating a massive

64:49

revenue stream for a dictator who is in

64:52

my mind a war criminal. What he did in

64:54

invading Ukraine makes him a war

64:56

criminal. What he did in kidnapping

64:58

these children makes him a war criminal.

65:00

I think it's awesome that Trump is doing

65:03

this intervention even if it has a 5 or

65:05

10% chance of working and then making

65:08

the NATO alliance pay their fair share

65:11

and selling them more weapons. I think

65:13

also brilliant. So I I give Trump a lot

65:15

of credit here. He's aligned exactly

65:17

what I said we should be doing, which is

65:20

holding dictators who invade other

65:22

countries accountable for it. And he's

65:24

added to it the fact that he can connect

65:26

with people. So I give him a ton of

65:27

credit for it, Zach. I know that's maybe

65:28

not the answer you want, but that's how

65:30

I

65:30

>> look. I think you use this highly

65:32

moralistic language and you engage in a

65:34

lot of name calling and I actually think

65:35

that's

65:36

>> which one which name is inaccurate,

65:38

please. Dictator or war criminal?

65:40

>> Well, look, you're complimenting Trump

65:42

for engaging in diplomacy with Putin,

65:44

but then at the same time, you want to

65:45

call him a dictator and war criminal,

65:47

and that's not going to be conducive to

65:48

actually trying to reach a peace

65:50

agreement. Now, it's fine.

65:51

>> But I'm not doing the negotiation. If I

65:52

was doing the negotiation, I wouldn't

65:53

come in and say, "Hey, dictator, war

65:55

criminal, let's fight for peace." I'm

65:57

giving you my personal belief person not

65:59

>> negotiating. So you're praising and

66:01

you're praising Trump for increasing the

66:02

pressure and leverage that he has with

66:05

the Russians which I think is fine. My

66:07

question for you is would you increase

66:09

the pressure or leverage with respect to

66:11

Zalinski? So for example would you tell

66:14

Zalinski in no uncertain terms listen

66:17

stop demanding to be part of NATO

66:18

because it's not happening. In fact the

66:20

president has done that. Uh what about

66:23

um

66:23

>> yeah the the answer to that question is

66:24

yes. I would say listen, it's not

66:26

realistic to join NATO. You can get some

66:28

security guarantees.

66:30

There's sort of talk of this NATO light.

66:32

So, I would agree with that. I would say

66:34

listen, we're going to take and I said

66:35

this on a previous episode, we should

66:36

just take off NATO inclusion for like 20

66:40

years.

66:40

>> Okay.

66:42

What about territorial concessions?

66:44

>> I think that's a decision Ukraine has to

66:46

make. We should encourage them to make

66:49

whatever decision is best for them. But

66:50

if they want to keep fighting this

66:52

thing, that's going to be up to their

66:54

people to decide if they want to fight

66:55

for their land.

66:56

>> Well, the people have said they don't

66:58

want to keep the the problem you have

67:00

right now is that 70% of Ukrainians say

67:02

they don't want to keep fighting.

67:04

They're ready.

67:04

>> Sounds like they're ready to make

67:05

concessions.

67:06

>> Yeah. So, it sounds like Zilinsky should

67:08

listen to his people. Yes.

67:09

>> That's his decision to make. I think he

67:11

has sovereignty and the people get to

67:13

make that decision in his country.

67:14

>> Well, but the the problem you have is

67:16

it's not just Zilinsky, right? It's his

67:18

ruling click. They have canceled

67:21

elections and they will remain in power

67:23

as long as the war continues. So they

67:25

there's a conflict of interest there and

67:27

there's a lot of money flowing into

67:28

Ukraine because of the war. So what if

67:30

the ruling elite wants to keep the war

67:32

going forever while the people want it

67:35

to stop?

67:36

>> Yeah. They're going to face a revolution

67:37

right quick. And so I think they have to

67:40

take the

67:42

citizens of Ukraine into account. And

67:45

it's a tough decision for them to make.

67:47

But it's not our decision to make for

67:48

them. Is that a reasonable position? It

67:50

sounds like a reasonable position.

67:51

>> I think it's reasonable.

67:52

>> Yeah. I mean, I don't I

67:53

>> look, at the end of the day, the

67:55

Ukrainians and the Russians have to

67:56

agree.

67:57

>> Yes.

67:57

>> And I I think that of of the major

67:59

parties, I think President Trump cares

68:02

the most about peace. I mean, I think he

68:04

is pushing the hardest for there to be a

68:06

peace deal.

68:06

>> I I I you know, I know people are like a

68:09

little flabbergasted that I really

68:12

believe that Trump is great at this. I

68:14

think he's great at this. He is great at

68:16

negotiating with difficult people and I

68:20

think he's going to get it done. I think

68:22

he's got a 50-50 chance of getting this

68:24

done and I think other people didn't

68:25

even

68:26

>> admit it. Just admit it. You like them.

68:29

>> You really like him.

68:31

>> It's not about whether I personally like

68:33

Trump or not.

68:34

>> It has nothing to do with that. I think

68:36

I I call balls and strikes here. It's

68:38

all balls and strikes for me.

68:39

>> No, no, no. You You're in like with him.

68:41

You may be in love with him.

68:43

>> I loved it. I loved it. love with my

68:45

guy, Vice President J.

68:47

>> Wait, wait, wait. And you you loved it

68:49

when he said, "Even Jason, you loved

68:51

it."

68:51

>> Well, I thought it was hilarious as a

68:53

troll.

68:54

>> How many people did you send that link

68:56

to?

68:57

>> Be honest.

68:57

>> I just tweeted it. I didn't send it to

68:58

anybody. I tweeted it.

68:59

>> Okay. So, everybody a million people.

69:03

>> I mean, it was a it's a it's a surreal

69:05

funny moment and a great troll.

69:07

>> Is it the high It's not a troll. It's

69:09

not a troll.

69:10

>> I mean, it was a troll Sax's part. I

69:11

think I think Saxs may have encouraged

69:13

it.

69:14

>> It's an incredible thing that you got.

69:16

>> Let's keep these great debates going

69:18

here on the All-In podcast. A platform

69:20

for important discussions. Another

69:22

amazing episode summer months uh coming

69:25

to a close and we'll see you all in Los

69:27

Angeles for the fourth edition of the

69:32

Allin Summit.

69:33

>> Back to the office next week. Back to

69:34

the office. Love you guys.

69:35

>> Back to the office and then back to the

69:37

grind.

69:38

>> Summer has ended. Summer 2025. So sad.

69:41

come way too soon.

69:42

>> Way too soon.

69:43

>> Can't believe it's over.

69:44

>> That's ridiculous. The only thing that I

69:46

is giving me some hope is that ski

69:48

season is is going to be coming.

69:49

>> You know, when your kids like I Sax, you

69:51

can relate to this. Actually, Jason,

69:53

your kids are pretty old, too. The

69:54

summers go by so quick and it's like you

69:57

just start to see like they are Saxs,

69:59

what what are you like? I am now 18

70:01

months from my oldest leaving the nest.

70:03

>> It's the It's the craziest.

70:05

>> Same here.

70:06

>> Oh my god. It's so I can't deal with it.

70:09

My son sits for his ACT in like 3 weeks.

70:12

He's he's getting his driver's license

70:13

in a week.

70:14

>> Are you sad about it? Are you feeling

70:16

melancholy, like leaving the nest kind

70:18

of thing, or are you excited for that

70:20

new chapter?

70:20

>> I feel like all of my kids deserve to

70:22

have their own adventure.

70:24

>> And so what I tell my son is like,

70:26

"Listen, you're packing your bags,

70:27

you're building your little toolkit,

70:29

you're about to leave, and you're just

70:30

going to go on an adventure." And I'm so

70:32

happy for him. But man, yeah, guts.

70:34

>> My oldest is applying to colleges right

70:36

now.

70:36

>> Oh my god. Oh my god. All right

70:38

everybody, another amazing episode. All

70:39

right, love you besties and we'll see

70:41

you in Los Angeles in Summit. Love you

70:43

boys.

70:44

>> See you next week.

70:46

>> We'll let your winners ride.

70:49

>> Rainman David

70:53

and

70:54

>> we open sourced it to the fans and

70:56

they've just gone crazy with it. Love

70:58

you.

70:59

[Music]

71:06

>> Besties are gone.

71:09

>> That is my dog taking a notice in your

71:11

driveway.

71:14

>> Oh man, my dasher will meet the endless.

71:17

You should all just get a room and just

71:18

have like one big huge orgy cuz they're

71:20

all just useless. It's like this like

71:21

sexual tension that they just need to

71:23

release somehow.

71:27

wet your feet.

71:30

>> We need to get merch.

71:34

[Music]

71:39

I'm going all in.

Interactive Summary

The podcast hosts discuss various topics including a bulldog named Moose, their upcoming All-In Summit, the current state of the AI industry, and political developments. Key AI discussions focus on the 'sorting' phase of the technology, the importance of moving from general to vertical applications, and why the initial hype led to a healthy correction in sentiment. Additionally, the hosts debate the political landscape for the 2028 election and recent international diplomacy efforts involving Ukraine and Russia.

Suggested questions

3 ready-made prompts