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Zuck’s AI Vision, Celebs Are Dating Private Equity Guys, AI Agent Hacks Gym | Diet TBPN

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Zuck’s AI Vision, Celebs Are Dating Private Equity Guys, AI Agent Hacks Gym | Diet TBPN

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915 segments

0:02

big big news. Mark Zuckerberg dropped a

0:05

blog post also. I mean the bigger news

0:07

is that they open sourced uh already one

0:09

model and they're planning to open

0:10

source Muse Spark 1.2. That's big. But

0:13

but the blog post lays out his AI vision

0:15

and we should go through it. Meta was

0:16

sort of set up to be and also ran in the

0:19

AI race. Like the llama project stalled

0:21

out. Yan Lun exited. Their biggest

0:24

model, Behemoth, never shipped, which

0:26

was ironic because in the Bible, a

0:28

behemoth is this untameable land

0:31

creature. And of course, it was just the

0:34

model was too big to be tamed to be

0:36

released. And it was like nominative

0:37

determinism in action. Happens a lot in

0:40

tech, unfortunately. But they also

0:41

turned over the entire team. And Zuck

0:43

said, "I'm not quitting. I'm not out of

0:46

the game. I'm staying. I'm all in."

0:48

Yeah. And I'm raising debt, equity,

0:50

doing all sorts of deals. uh making

0:52

things happen, making big offers to AI

0:54

researchers, rebuilding the team,

0:55

bringing in Alex Wang, Natt Freriedman,

0:57

Daniel Gross, bunch of heavy hitters and

1:00

uh they already build massive data

1:02

centers. They have a huge surface area

1:03

to distribute AI uh consumer

1:05

experiences. If they come up with new

1:07

ones, they have, you know, billions of

1:08

users, they can put some, you know, hey,

1:11

try this thing and maybe they'll get a

1:12

bunch of users from it if it's good.

1:13

Semi semi analysis also just one month

1:15

ago laid out like a much more detailed

1:17

bull case for MSL in particular. It was

1:20

interesting uh because I was always

1:23

optimistic about okay they have a lot of

1:25

data from Instagram they have a lot of

1:26

images they'll do a great image model

1:28

like the image editing will be the best

1:30

in class uh they they can finally like

1:32

kill Cap Cut with their edits app which

1:34

is great uh and when I think about

1:37

you're taking an image you're taking a

1:39

video you have a bunch of videos from a

1:41

trip you want to edit all that together

1:43

for some Instagram story or Instagram

1:45

reel reals editing is its own skill its

1:48

own talent it's not available to

1:49

everyone One, a lot of like family

1:51

friends of mine will use Instagram and

1:53

they'll just post a picture on stories.

1:54

They're not doing edited cinematic

1:56

reels, but with AI could potentially get

1:58

someone from, oh, you took a bunch of

2:00

video. Some of it's horizontal, some of

2:02

it's vertical, some of it's sort of

2:04

cropped wrong, some of the color

2:05

>> turn into some brain wrap for [laughter]

2:08

>> you can just throw it right here in this

2:09

trough.

2:10

>> Yes.

2:13

Adding those programmatically. Uh, no,

2:14

you actually could. You actually could.

2:16

Um, and so and so I I was optimistic

2:18

about that. Then obviously we talked to

2:19

Eric Seuford about uh just the gem model

2:21

and how AI can immediately move the

2:24

needle on ad monetization, targeting all

2:26

of that. So there were lots of reasons

2:28

to be optimistic. semi analysis laid out

2:29

this more detailed bold case and they

2:32

said that there was this interesting

2:34

detail that maybe was getting missed

2:35

which was that by uh recording the

2:37

screens of every Meta employee which is

2:39

very controversial and bold but actually

2:42

ripping that band-aid off and just

2:43

saying hey we're we're an AI training

2:46

company now and everyone's going to be

2:48

recording their screens and their flows

2:50

and all how all their work gets done.

2:52

They basically got like a frontier

2:55

leading AI data labeling company for

2:58

free. I mean they took a you know PR hit

3:00

for it. Had to answer some questions but

3:02

in general like the volume of tasks the

3:05

volume of quality data that's coming

3:07

from that workforce now is on the order

3:10

of a scale. Merore handshake etc surge

3:13

and so uh they just get that more or

3:16

less for free. Obviously Meta's lawyers

3:18

are great. Meta's researchers are great.

3:20

Meadow's finance team is great. So if

3:22

you're if you're getting all of that,

3:23

it's equivalent to hiring a really

3:25

talented person to do a training task.

3:29

>> Yes. Yes. And yes and no. I think I

3:31

think a lot of the data that that the

3:33

surges and merors are creating is much

3:35

more specialized. Yeah.

3:37

>> And I think there's just a lot of noise

3:39

coming out of that data. They also have

3:41

like rolled some or maybe most of the

3:43

program back. I think there was Yeah.

3:45

>> So much push back.

3:46

>> You can pause it for 15 seconds once a

3:48

day.

3:49

>> [laughter]

3:49

>> No, no, I think you can pause it for

3:50

like half an hour, an hour, uh, if you

3:53

want to go get a nice scroll in at work.

3:55

[laughter]

3:57

But I mean, that's on brand if you're

3:58

like, "Yeah, I was scrolling reals. I

4:00

work at Meta

4:01

>> testing. I was hunting for bugs."

4:02

>> Yeah, your honor.

4:04

>> For sure. For sure. But, uh, yeah, I I I

4:06

I I think there are some there are some

4:08

employees who are just fully excluded

4:09

because they work on proprietary things

4:11

that they don't want leaking into the

4:12

training data whatsoever. Uh, there's a

4:14

whole bunch of nuance there. There was

4:15

these funny like leaked uh messages from

4:17

Bos being like, "If you're saving time

4:19

with AI, don't take more vacation days.

4:22

Like, go ask your parents."

4:22

>> What was that?

4:23

>> What was that line? Like, ask your

4:24

parents if it's a good strategy every

4:26

time you talk to your boss to ask for

4:27

more time off.

4:28

>> It's a good point.

4:29

>> So, it was a really good point.

4:31

>> It's a really good point, but the timing

4:32

was funny cuz over the weekend, Zach had

4:34

a UFC fighter in Tahoe and they're just

4:37

like on this like, you know, onwater

4:39

octagon.

4:41

You can tell there's like, you know, all

4:43

all of Zuck's like security boats around

4:46

it [laughter] and they're just like

4:47

fighting like, you know, wrestling or

4:49

whatever.

4:50

>> Let's pull this up. Zuck busy fighting

4:51

with Morab in Lake Tahoe while his execs

4:54

tell employees not to take vacations

4:55

thanks to AI.

4:56

>> I think I've seen enough after this. I

4:58

think he's ready for the octagon.

5:00

>> He's looking good. What are those leg

5:02

braces that you got on? Is that

5:04

>> for like they're effectively gloves for

5:06

your knees?

5:06

>> Oh, okay. Okay. So you don't get your

5:08

shins bashed up or something. Yeah, you

5:09

don't.

5:09

>> Okay, that's cool. Anyway, uh so

5:11

following up on the op-ed ad that Mark

5:13

Zuckerberg dropped in the in the payw

5:15

wall the Wall Street Journal section,

5:17

which was a little bit ironic because

5:18

he's saying it's for everyone. Yeah, it

5:20

will be abundant and free except for

5:22

this article. Well, now you can go read

5:24

a more lengthy version of his thesis for

5:27

free uh not paywald on Meta's corporate

5:31

blog effectively. Uh, you know, I don't

5:33

even think you need to log into any

5:35

Facebook property to get access to this,

5:36

but uh, it's a 6,500word

5:39

encyclical, the Wall Street Journal

5:41

called it. Like, it's a paper uh, bull

5:44

uh, on the AI future. High level AI,

5:47

it's for everyone. Turns out it's for

5:49

everyone.

5:49

>> Whoa.

5:50

>> That's what he's saying. But it's good.

5:51

It's an anti-permanent underclass

5:53

message. Um, which comes which is good.

5:56

It's just good from a comm's perspective

5:57

to lay out a more optimistic uh,

5:59

philosophy here. Uh and it also seems to

6:01

be borne out by the data in the short

6:03

term. Uh you're not seeing any like

6:06

crazy displacements in the economy. Uh

6:08

and so this comes from like a place of

6:10

strength that's like backed up. And it's

6:12

also just a very optimistic uh correct

6:14

version of the piece. He takes a shot at

6:17

fear-based marketing. Uh early on in the

6:19

piece, he says, "Still, it's surprising

6:20

that the discourse from many developing

6:23

AI is so filled with doom. I do not

6:26

understand why anyone who believes that

6:27

AI will eliminate most jobs and much of

6:30

humanity's relevance would rush to build

6:32

that future. The notion that AI is so

6:35

dangerous that the only safe path is an

6:37

extreme concentration of power inherent

6:40

isn't seems inherently problematic.

6:42

Historically, hoping that an absolute

6:44

power will benev benevolently provide

6:47

for humanity if sufficiently enlightened

6:50

has not led us to safe or positive

6:53

outcomes. What do you think?

6:55

>> Do you want to read a little bit more

6:57

before I

6:58

>> Well, uh, so I mean, my take on that was

7:00

basically that, uh, so he's framing this

7:03

as, uh, I don't understand why anyone

7:05

who believes in AI would try and become

7:07

like the emperor and the dictator of AI.

7:09

I understand it. Uh, it's funny that

7:11

he's like sort of playing dumb here. Uh,

7:12

because, uh, extreme concentration of

7:15

power is awesome if you're the one that

7:17

has the power. Uh like I don't see you

7:21

have to imagine that most dictators

7:22

living in other countries aren't like oh

7:24

I would kill just to be like a normal

7:26

American citizen. No it's like yeah it

7:29

sucks for the citizenry.

7:30

>> Also this is coming from a guy who has

7:32

is

7:34

>> effectively a monopoly more like a

7:36

duopoly

7:38

>> and uh has enjoyed the benefits of you

7:40

know extreme concentration of at least

7:42

users.

7:43

>> Yeah.

7:43

>> And social media activity. Yeah.

7:45

>> Um I I came away from this um

7:48

>> first first there are there are three

7:50

very concrete proposals that I think are

7:52

good and then we can go into some on

7:54

what what's downstream of it. So uh he

7:57

there's some hand wavy parts about the

7:58

future and how things will align in the

8:01

future uh that are sort of just guesses

8:03

about how the future will play out in my

8:04

opinion. Um but there's some really

8:06

solid concrete proposals in here that I

8:08

thought were awesome. Uh, one, he calls

8:10

out that in Richland Parish, Louisiana,

8:12

where Meta is building a large data

8:14

center, teachers received a $50,000

8:16

bonus this year because of the increased

8:19

tax revenue from their investment there.

8:21

Uh, the superintendent told Meta that

8:24

teachers are now moving there from

8:26

across the country and he believes it

8:27

will become one of the nation's best

8:29

school districts. Uh there's been a lot

8:31

of skepticism about money actually

8:33

flowing from AI companies to citizens

8:35

because a lot of times money just goes

8:37

into the government and then it gets

8:38

like squirreled away into weird projects

8:41

that different you know developers can

8:43

like pull from and the money just sort

8:45

of disappears. This feels like a pretty

8:47

linear track from like data center built

8:50

dollars in in citizens pockets. That's

8:52

very very good. I I like how that played

8:54

out. He also said that uh Meta's data

8:56

centers are designed to be among the

8:58

most water efficient in the world. We

9:00

are committing to being water positive

9:02

which is a frame uh like a term that I

9:04

hadn't heard before but I think is a

9:06

good one. So what that means is they

9:08

will restore more water than they use in

9:11

the waterheds that they operate and the

9:13

goal is by 2030 to be net water

9:16

positive. And in areas with high water

9:18

stress the goal is to restore 2% of the

9:21

water that they use. And so I think

9:23

that's good. Obviously, there's been a

9:24

lot of uh you know, it's been a bit of a

9:26

quagmire on the water issue because

9:28

there was that calculation error that

9:30

people got way wrong. They thought the

9:31

data centers were using way more water

9:33

than they were. And so, a lot of tech

9:35

people just sort of wrote it off as

9:36

like, ah, I don't even need to address

9:38

it because it's misinformation. But, of

9:40

course, it's a resource. It's important

9:41

to address it appropriately. And I think

9:43

this messaging does a good job of laying

9:46

out like, okay, yes, like it might not

9:48

be that much of an issue, but if it's

9:49

not that much of an issue, then you can

9:50

deal with it pretty easily and we're

9:51

gonna deal with it. So here's our plan

9:53

on electricity. They were a little bit

9:55

less a little bit softer. The the

9:58

language is just will we help keep

10:00

electric electricity prices low by

10:03

building our own energy generating

10:05

infrastructure wherever we invest. This

10:07

ensures that not only are we consuming

10:09

energy that could uh we are not

10:11

consuming energy that could have gone to

10:13

the local communities but in some cases

10:15

we even we even supply a surplus of

10:17

lowcost energy back to the communities.

10:19

We think this is an important investment

10:21

principle for sustainability that in

10:22

some cases is doing a lot of heavy

10:24

lifting there. Uh ideally you would wind

10:26

up I think a lot of people would want to

10:28

see like uh oh yes in every case when

10:31

you build a data center you bring enough

10:32

power that the price of energy does not

10:35

increase in the local community but good

10:38

direction. He does call out nuclear

10:40

energy in a really interesting way. He

10:42

shares this stat, countries like China

10:44

are are bringing online one gigawatt of

10:48

nuclear capacity every other week, which

10:50

is insane. [laughter] And he says, uh,

10:53

so we'll need to accelerate building of

10:55

both energy and data centers to remain

10:57

competitive. [music]

10:58

I thought this was a good framing and

10:59

good reminder of how slow we are because

11:02

we bring on one gigawatt of nuclear

11:04

energy like every couple decades and

11:06

they're doing it like every two weeks.

11:09

Uh, good good to see that. And then also

11:11

Meta has been spending on nuclear power,

11:14

making commitments. All of them are

11:15

longdated. There's a lot of regulatory

11:17

hurdles, but uh he is putting his money

11:19

where his mouth is in that regard, which

11:21

I thought was good. And then of course

11:22

the news is also paired with uh some

11:25

real action from Meta. They're opening

11:27

the weights of Muse Glimmer, a 30

11:29

billion par parameter dense model that

11:32

can run locally along with a plan to

11:34

release the weights to Muse Spark 1.2.

11:37

uh makes sense from a business

11:38

perspective I think to ramp adoption. Uh

11:41

there was a lot that was going on like

11:42

the llama ecosystem and you could

11:44

imagine that you you you download the

11:47

weights to muse spark 1.2 too. Fine-tune

11:49

it. You're pretty happy. You're like,

11:50

"Ah, okay. Yeah, let me get on the on

11:52

the hype on the on the API plan as

11:55

well." Um, and also, you can imagine

11:58

that there's businesses that want to cut

11:59

costs, but don't want to use a foreign

12:01

model. That definitely exists for a

12:03

variety of reasons. So, this is a good

12:04

option there. Uh, and then it also just

12:06

disentangles the geopolitical discussion

12:08

from the safety discussion. So if you're

12:10

talking to someone who has a strong

12:12

opinion about open source one way or the

12:13

other, you can you can just divide the

12:16

discussion into okay, how do you feel

12:18

about Muspark 1.2? Is that too dangerous

12:20

to release? Is this a safety issue?

12:21

Because it shouldn't be a distillation

12:24

issue and it shouldn't be a uh like a

12:26

geopolitical issue so you can narrow it

12:28

down just to are you are you okay with

12:31

uh strong powerful you know AI being in

12:34

the hands of just random people. Yeah.

12:36

Anyway,

12:37

>> I think I think a lot of the stuff in

12:38

here is like great and directionally

12:41

correct. I think uh it was good that

12:43

they tried to ground it in some concrete

12:46

actions. Uh it seems like they've chosen

12:49

to position him as the the pickme

12:52

>> AI uh lab leader, right? Uh he's saying

12:56

uh if you're not familiar, pick me is an

12:58

internet slang term for someone who

13:00

tries too hard to get validation,

13:02

attention, or approval. And uh that is

13:05

certainly what he's doing. I think

13:07

there's an incredible irony that like he

13:09

I think on Friday of last week is having

13:11

to uh u go through this like basically a

13:15

billion dollar settlement for causing

13:17

harm at scale with uh all of their all

13:21

of their other products. And then

13:23

ultimately uh I still don't think that

13:27

he has or like MSL has any type of

13:31

cohesive vision or strategy, right? They

13:34

were doing open source.

13:35

>> We were excited with the Manis thing. We

13:36

were like, "Oh, this makes sense.

13:38

There's like deploy an agent within your

13:40

Instagram account. There's a lot that

13:41

you could do there, but that never

13:43

really came

13:44

>> fruition." No. So, so they were doing

13:46

open source, then they're getting

13:48

cooked, and then

13:49

>> they stop, and then now they're back.

13:52

And the first thing they released was

13:54

Meta Vibes, which is like kind of what

13:56

you would expect them to release, but

13:58

obviously got a horrible reaction.

14:00

>> Uh, wasn't world positive at all. Wasn't

14:02

personal super intelligence. It was slop

14:05

intelligence. very much too soon I think

14:07

for Mark to be like the good guy like

14:10

tech leader where I just don't think he

14:12

has like people's like his brand got so

14:15

much better over the last few years when

14:16

he was just doing the UFC thing sure

14:19

>> and wakeboarding and all that kind of

14:20

stuff but it's too early to be trying to

14:22

parlay that into like I can be trusted

14:25

with

14:26

>> uh do you think he needs to put points

14:27

on the board or do you think he needs to

14:29

move the needle before he can actually

14:31

uh take a victory lap here? I think I

14:34

think uh I think he's trying to move the

14:36

needle. He needs to be more focused on

14:38

getting some points on the board. Um

14:40

because open sourcing a model that isn't

14:41

a frontier model

14:43

>> is just like okay like like uh I don't

14:46

like knowing how commercial this team

14:49

is,

14:50

>> I don't think they would open source or

14:52

or open uh make the model open weights

14:55

if they felt like there was going to be

14:56

exceptional demand for it. Mhm.

14:58

>> I think overall like Mark standing up

15:00

and saying like, "Hey, I want to be the

15:03

leader of world positive AI probably

15:05

hurts AI's public perception even more."

15:08

>> Bernie Sanders now, right? He was

15:10

included in that.

15:11

>> Yeah. Yeah. Which is amaz which is

15:12

amazing for Meta MSL

15:15

>> to be included in that group.

15:17

>> Yeah.

15:17

>> Like you would think that like um

15:19

>> was not or Elon

15:21

>> Elon and Deep Mind were not included.

15:23

>> Elon was so that was just because there

15:25

there were the three cyber incidents.

15:27

Oh,

15:27

>> and so I mean people have been you know

15:29

alleging that maybe the meta

15:32

>> you know cyber incident was maybe you

15:33

know somewhat not as real as other ones

15:36

>> to be included but I think he has he has

15:39

no confidence from the market on the

15:41

strategy.

15:42

>> Uh he still has not actually explained

15:46

what their product vision is. They're

15:47

coming out with with a coding harness.

15:50

They're coming out with coding models.

15:52

They're also doing open source.

15:54

>> Yeah. There's the whispers of them, you

15:56

know, getting into the, you know,

15:58

becoming a neocloud. It's just like I

16:00

think as I I can I can see why

16:02

shareholders and employees just continue

16:05

to be deeply frustrated.

16:06

>> The coding harness thing would be, it

16:08

feels like it would be much more

16:10

believable from Microsoft like we own

16:11

GitHub. We were first in GitHub

16:13

co-pilot. Yeah, Nat Freiedman's not here

16:15

anymore, but we have a really strong

16:18

relationship with OpenAI for the models

16:21

and Azure in the enterprise. we are

16:23

going to make a run at this seriously.

16:26

And they have a better strategy. I I

16:28

like the strategy more, but uh but but

16:31

it's it's it's a really really crazy

16:33

pivot to go from social media to the

16:34

enterprise.

16:35

>> Ultimately, it's a lot of words from

16:37

someone who I don't believe has any real

16:39

vision or strategy. Like at least when

16:41

Daario comes out with an essay, this is

16:43

someone who is undeniably a visionary,

16:45

right? Has has made a bunch of calls

16:48

>> correctly. And so when he says

16:50

something, they I think it means some.

16:52

But I think that uh yeah, the product

16:54

strategy so far just feels like throwing

16:57

slop at a trough

17:00

>> maybe.

17:00

>> But uh defend it, John.

17:02

>> Um

17:02

>> steelman.

17:04

>> What is the steelman? I mean, the

17:05

steelman is the basically the steelman

17:08

is like this could go the deep mind

17:10

route where they get too uh they get a

17:14

little bit too there's too much tension

17:16

between the various corporate

17:17

organizations and the nightmare scenario

17:20

would be like the reals team at

17:22

Instagram saying like we need the

17:24

compute for reals and ad monetization

17:28

and that putting tension with the

17:30

researchers. So the researchers are

17:31

saying, "Hey, that new data center looks

17:33

amazing. We want to train some amazing

17:35

model or we want to do some cheap

17:37

inference." And the and the ad team and

17:40

the reals team says, "Hey, we really got

17:43

to keep the lights on over here." And so

17:46

that tension just keeps uh butdding

17:49

heads against each other and they can't

17:50

move as smoothly as some of the pure

17:52

play labs. At the same time, there is I

17:55

like this Bos quote about like you know

17:58

uh Bos recently told employees that any

18:01

extra time freed up by AI should not be

18:03

used for vacation. Instead, it could it

18:04

should go towards building cooler stuff

18:06

at Meta. Like you have so many users, so

18:10

much data, so many different product

18:13

surface areas. It's clear that we're not

18:16

at the end of history in terms of what

18:18

you can do on your phone, what you can

18:19

do in these apps. And there are really

18:22

delightful experiences that we run into

18:24

all the time. Like Sunno is a really

18:26

cool consumer product. We had the CEO of

18:28

whatnot on like that's getting a bunch

18:30

of traction. Um there are there are

18:32

things that you should be able to build

18:33

faster, leverage the current uh

18:36

technology stack more efficiently and

18:38

then also like add AI features to

18:41

actually bring those to consumers at

18:43

scale. like when they launched their uh

18:45

AI image model, I was I was like why

18:49

can't they just like when you open

18:51

Instagram say, "Hey, we've pre-generated

18:54

a Studio Giblly version of your latest

18:56

post or your or your Instagram profile,

18:58

do you want to share on your story?"

19:00

Like those little like productled growth

19:02

hacks that would be compute intensive.

19:04

You'd have to you'd have to inference

19:05

all that.

19:05

>> It's got a lot of compute.

19:06

>> Yeah, you got a lot of compute. that

19:08

actually

19:08

>> at the time at the time that there's

19:10

whispers of selling compute, they're

19:11

also buying ultra long-term contracts.

19:15

The social network was like formative on

19:17

all of us,

19:18

>> Zuck is is a legend in his own way,

19:21

>> but it's just like putting this out

19:23

while it's coming out like less than two

19:26

months ago that you're working on a

19:27

gambling integration

19:29

>> on Instagram.

19:31

>> Like please, there's no strategy. And

19:33

then the other irony of this, the thing

19:34

that stood out to me is he said, "Still,

19:36

it is surprising that the discourse from

19:38

many developing AI is so filled with

19:40

doom. I do not understand why anyone who

19:42

believes that AI will eliminate most of

19:45

human uh most jobs and much of

19:46

humanity's relevant would rush to build

19:48

that. The AI doom over the last two

19:50

weeks has been around these loss of

19:52

control incidents which are which are

19:55

serious

19:56

>> and and real. And so to stand up there

19:58

and be like actually guys, nothing to

20:01

worry about. I got this. AI is awesome.

20:04

The birth rate might be collapsing and I

20:07

might have something to do with it, but

20:09

don't worry about it. Yeah. Part of this

20:11

is like

20:13

>> we've we've met Zach multiple times.

20:15

We've had great conversations with him.

20:17

I like him.

20:18

>> I like Bos. I like Adam. I like a lot of

20:20

people over at MSL.

20:22

>> Yeah.

20:22

>> Um but this whole strategy continues to

20:26

confuse.

20:27

>> It's deeply unfocused. It's deeply

20:31

mimedic

20:32

>> and it doesn't seem like it's going to

20:34

get any better anytime soon.

20:36

>> The Wall Street Journal had a huge

20:40

scoop. This summer's hottest arm candy

20:42

is a private equity boyfriend. Reese

20:45

Witherspoon, Nicole Kidman, and Olivia

20:47

Rodrigo are all hanging out with finance

20:49

guys. Jordy chimed in on this. It was

20:52

remarkable. Every single person got

20:55

Jord's joke. I thought it was a little

20:57

like inside baseball and you'd have to

20:59

have more context to understand it, but

21:01

it was like this rare weird scenario

21:04

where everyone understood that you were

21:06

joking. And

21:07

>> yeah, I didn't get any push back. I

21:09

didn't get called any names.

21:10

>> It almost would have been better if

21:11

there was push back, but it was just

21:13

uniform praise for your quote across

21:16

everything. Now,

21:17

>> a lot of people were saying brave.

21:19

>> Finally, someone said it. Yeah. So, I

21:21

don't know that there was a It's like

21:23

you take a lot of celebrities that are

21:24

based in New York. Yeah.

21:26

>> At least a few of them are going to end

21:28

up dating some people in in finance. So,

21:30

should we start maybe with what Mr.

21:32

Wonderful

21:33

>> said? He said, "If you live in a

21:36

celebrity bubble, party after party with

21:38

the same people, the same 25 people,

21:40

life gets really boring."

21:41

>> Yeah.

21:42

>> When you end up with a private equity

21:43

guy, your life gets far more

21:45

interesting.

21:46

>> Um, so he I don't think was uh rage

21:49

baiting. No,

21:51

>> I think [laughter]

21:52

uh so maybe that's how some people would

21:54

have taken my quote out of out of

21:56

context. What did I say?

21:57

>> The piece centers around

21:58

>> I almost don't want to read that quote

22:00

out loud, but you should you should read

22:03

uh you should read my quote.

22:04

>> Your quote that burned up the internet.

22:06

Whether they want to admit it or not,

22:08

many women have always been attracted to

22:11

bad boys and risktakers, said Jordy

22:13

Hayes, co-host of the technology

22:14

industry talk show TVPN. I can't think

22:16

of any archetype of man that fits that

22:19

description more today than capital

22:22

allocators that put it all on the line

22:25

every day in the markets. And I like

22:27

that your screenshot included the the uh

22:30

the scroll wheel showing that you're

22:32

you're hunting around for this.

22:33

>> Uh and then so I posted this

22:36

>> and I said I weighed in on one of the

22:38

defining stories of our time.

22:41

>> [laughter]

22:42

>> And so,

22:43

>> yeah,

22:43

>> putting such a silly caption Yeah.

22:45

>> above a silly story and a silly quote, I

22:47

just assumed that it would um that it

22:49

would be quite obvious that it was that

22:51

it was satire. But let's pull up uh

22:53

let's pull up this uh 4 by uh 2 by 2.

22:57

And so, uh one top left, let's give it

23:01

up for the elite quadrant. This is all

23:03

of you. [applause] I mean, uh zoom out.

23:05

Zoom out a little bit. A little bit

23:07

more. This is people that understand the

23:09

joke. zoom up uh or go go up and people

23:12

that love it. These you guys were saying

23:14

we get it and we get you and that made

23:17

me feel really great. Now go down. This

23:19

was also a um powerful part of the of

23:24

the people that were supporting it.

23:25

People that don't understand the joke.

23:28

>> Well, there's some people that support

23:29

it. Yeah. There's some And there was a

23:31

lot there was a shocking amount of

23:32

people um

23:34

>> like this is

23:34

>> Can you guys just zoom fully out and and

23:36

and believe it? Yeah. So there this was

23:38

people that love it and people that

23:40

don't understand the joke. And I just

23:41

want to say bless bless their hearts.

23:43

They don't get it, but they vibe with

23:45

it.

23:45

>> Uh and then and then we had some

23:47

respectable haters, people that that

23:50

hated it. They get the joke, but they

23:51

just hate that they do. And then and

23:54

then there was the bottom right um which

23:57

uh was uh was tearing it up in the

24:00

replies. Loud, wrong, and very

24:02

confident. We should take people through

24:03

this article a little bit more because

24:05

uh the piece centers on uh Oliver Harmon

24:07

of Search Like Capital. Of course,

24:09

everyone knows him. Uh but he is

24:10

apparently dating Reese Witherspoon. And

24:13

so uh just to get everyone to up to

24:15

speed, Witherspoon uh is an Oscarinning

24:19

American actress who became famous in

24:21

the 1990s and 2000s, including films uh

24:25

like Election, Pleasantville, Legally

24:27

Blonde, Walk the Line. Uh so now you

24:30

should be up to speed on her. Uh Michael

24:32

Rinstein of course of uh Private Equity

24:34

from Regent is dating someone named

24:36

Nicole Kidman which uh our audience

24:39

might not be familiar with. She's

24:40

actually an Australianborn actress whose

24:43

career stretches across prestige cinema

24:45

blockbuster films. Seems like she's been

24:47

really successful. So good to see her

24:49

profiled alongside Michael Reinstein of

24:52

uh Private Equity from Region.

24:53

>> I think a lot of a lot of the people

24:55

that that watch TVPN Yeah. were reading

24:57

that article to to learn about

25:00

>> these celebrities. celebrities. Yeah,

25:02

it's a fascinating world that's it's

25:03

just tucked behind, you know, so much

25:06

obscurity. You don't hear about them if

25:08

you're in the finance world. And so, uh,

25:11

good to see uh, folks like that get, you

25:14

know, some some some coverage and and

25:16

really educate the audience. Uh, Joe,

25:18

[laughter]

25:19

Joe Weisenthal had the best the best

25:21

take that uh, this is the classic uh, is

25:24

cynical pattern. I think he said I think

25:26

he's meaning cyclical pattern. Back in

25:28

the mid as there was a raft of stories

25:30

about celebrities dating real estate

25:32

executives and shipping heirs like

25:34

Stavros

25:35

Narcos and Paris Latis.

25:38

>> We got to find what all these guys have

25:40

in common, John. We got to find what

25:41

what they have in common because they're

25:43

working across so many different

25:45

industries booming, right? But what is

25:46

the common ground?

25:47

>> The industry is booming.

25:49

>> Could it be something to do with their

25:52

fee streams?

25:52

>> Well, yeah. Well, no. So someone had a

25:55

much more uh nuanced take from this

25:58

which was that uh celebrities are

26:00

becoming like multiplatform

26:02

multiddisciplinary there actually are

26:04

multiple income streams and so this was

26:06

not I I gave a quote too that they

26:08

didn't use but someone someone chimed in

26:10

and said like yes a lot of these people

26:11

are a lot of these celebrities are doing

26:14

u much more complex deals uh starting

26:17

brands starting companies building

26:19

holding companies and so they actually

26:22

wind up interacting with like the

26:24

finance bros much more much more often

26:26

and it's not so much like oh you got set

26:28

up with someone with money. It's much

26:30

more like, oh, you work on deals

26:32

together and you talk about the same

26:33

things because when you're a celebrity

26:35

at a certain level, yeah, you're going

26:37

on set and filming a movie for a couple

26:39

weeks,

26:39

>> but you're also talking about your all

26:42

your your catalog of your royalty

26:44

stream. Royalties are royalties are

26:47

often Yeah, they're often forever,

26:49

right? Um unlike uh unlike management

26:52

fees with at some point or another

26:55

>> that that uh revenue line comes to a

26:58

close

26:58

>> pulling the purse strings. Anyway, uh we

27:00

have another story here that we should

27:02

go through. South Korea's AI boom is

27:05

reshaping the dating market as engineers

27:07

from Samsung and SKH Heinix become some

27:11

of the country's most eligible

27:13

bachelors. According to the Wall Street

27:14

Journal, engineers at the two

27:15

semiconductor companies are increasingly

27:17

being viewed alongside doctors, lawyers,

27:19

and accountants as top marriage

27:22

prospects. Samsung employees are

27:24

expected to receive average bonuses of

27:26

roughly $400,000 this year, while SKH

27:29

workers could average closer to

27:32

$500,000. Chip engineers have

27:34

historically ranked below more

27:36

traditional high status professions in

27:37

South Korea's highly competitive

27:39

marriage market. But local matchmaking

27:41

agencies now say that gap has largely

27:43

disappeared while the trend has become a

27:46

recurring joke in Kore Korean pop

27:48

culture and dating shows. Interesting.

27:50

Uh the newfound status is creating some

27:52

awkward side effects. Some engineers say

27:55

they are reluctant guys.

27:57

>> It's it's rough. It's rough out there in

27:59

Korea. Uh some engineers say they are

28:01

reluctant to reveal where they work on

28:03

first dates because they worry potential

28:05

partners may be more interested in their

28:07

compensation than in them. Others have

28:10

increasingly started dating fellow chip

28:12

industry employees instead. Meeting

28:14

someone in the fab. A real meat cute.

28:17

You you're carrying a tray of wafers

28:19

bump into someone and it's love at first

28:22

sight. You look up as as you're as

28:24

you're car as your scattered HBM is

28:27

being

28:27

>> It is very funny. They included they

28:29

just included a picture of of a young

28:31

woman here that says Kim Young a

28:33

photographer in soul laments not having

28:35

any contacts at chipmakers. [laughter]

28:37

She's like,

28:38

>> "Wow, really, really

28:41

>> framing her as part of the problem."

28:42

>> Well, well, the photo credit is her, so

28:44

she must have posted this on social

28:45

media or something and then the uh the

28:47

journal got a hold of it. [laughter]

28:49

It's a fun one. Uh anyway, the other the

28:52

other big story is that an AI assistant

28:55

in Australia hacked a gym's booking

28:58

system on its own after being given the

29:01

simple task of reserving a class in what

29:04

is believed to be the country's first

29:05

known autonomous cyber attack by an AI

29:08

agent.

29:09

>> Naughty naughty indeed. Uh, funny. In

29:12

college, I built a system that would

29:15

register for classes automatically, but

29:17

it was just a Python for loop that would

29:19

just refresh the page when the classes

29:21

would become available because they

29:23

would go online at like 7 a.m. and I

29:25

wanted to sleep in just lazy bones mode.

29:27

Um, and I think I think there's a story

29:29

about Mark Zuckerberg doing a similar

29:31

thing, sort of like hacking this the the

29:33

the admission system or some sort of

29:36

class registration system. But now with

29:38

AI agents, you can just have the AI

29:39

agent do it yourself. Anyone can. It's

29:41

been democratized. Everyone can sleep

29:43

in.

29:43

>> SpaceX is up uh 13%

29:47

>> uh in the past 5 days

29:50

>> almost certainly in part due to semi

29:52

analysis.

29:54

>> Major major bullish updates.

29:57

>> Crazy bull case.

29:58

>> Um yeah, not uh they've been contrarian

30:01

lately, right?

30:02

>> Yeah, totally.

30:03

>> With Meta now SpaceX. So the headline

30:06

here, SpaceX turns a compute company

30:09

into eight quarter in eight quarters uh

30:12

into a

30:13

>> turns into a computers.

30:16

AI compute goes from nothing to 77% of

30:19

run rate revenue and uh the the

30:23

illustrative 10 gigawatt path. I mean

30:25

he's really good at building data

30:27

centers and uh they're they're

30:28

predicting that uh Microsoft will be the

30:31

largest offtaker. uh open ananthropic

30:33

will wind up doing deals with them. Uh

30:36

500 billion in ARR for SpaceX and the

30:39

number that was getting thrown around

30:40

was a trill a trillion in ARR or

30:43

something by 2030 something. Uh which is

30:46

uh staggering staggering. They're going

30:48

to have to rebrand it. Rebrand it

30:50

though. Landex

30:52

because they're not going to space with

30:53

this. This is all built just on the

30:55

ground. I I'm pretty sure I'm pretty

30:57

sure this is all pre-space data center.

31:00

Space data center is like is the act

31:02

five or whatever we whatever act we're

31:04

on the act two. So landax or ground X

31:07

but uh either way it's working and uh

31:10

very very exciting to see.

31:11

>> Well folks we hope you have some crazy

31:14

good times this afternoon.

31:16

>> Thanks for tuning in. Leave us five

31:18

stars in Apple Podcast and Spotify. Sign

31:20

up for our newsletter at tvpn.com and

31:21

we'll see you back here at 11 a.m.

31:23

Pacific tomorrow. Goodbye.

Interactive Summary

Mark Zuckerberg recently shared his AI vision, which includes open-sourcing models like Muse Glimmer and Muse Spark 1.2, despite Meta's past AI struggles. He is committed to rebuilding the AI team and addresses concerns about AI's impact, promoting an "AI for everyone" philosophy. Meta's initiatives include community benefits like teacher bonuses from data centers, water positive commitments, and building energy infrastructure. However, critics question Meta's cohesive vision and express skepticism about Zuckerberg's leadership in "world positive AI." Other topics discussed include the rising social status of AI engineers in South Korea's dating market, an AI assistant autonomously hacking a gym system, and SpaceX's significant pivot towards AI compute with staggering revenue predictions.

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