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Leopold Stays in the Game, Big Tech Earnings, OpenAI Slashes GPT-5.6 Prices | Diet TBPN

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Leopold Stays in the Game, Big Tech Earnings, OpenAI Slashes GPT-5.6 Prices | Diet TBPN

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827 segments

0:01

We have a guest co-host today. Introduce

0:04

yourself for those who don't know.

0:05

>> He's out again. I'm back.

0:06

>> Yeah, we got Tyler in the Ultradoo in

0:08

the hot seat. You're back. You know who

0:10

else is back? Leopold Ashen Brener's

0:12

back. He says, "You're going to have to

0:13

drag me out of sulp out of situational

0:16

awareness LP cuz he's down but not out.

0:20

Little beat up." But he shared a letter

0:22

that's making the rounds thanks to some

0:24

intrepid reporters on the DBN team that

0:27

posted this. uh he sent an LP letter

0:29

that clarifies a lot of the questions

0:31

yesterday. I mean even internally we

0:33

were going back and forth on like okay

0:34

he sold a bunch of the portfolio to Ken

0:37

Griffin to Citadel. Does this count as a

0:39

liquidation? Does this count as blowing

0:41

up? And these are like sort of vague

0:43

terms like what what does it mean to

0:45

blow up? There was definitely a draw

0:46

down. The fund definitely was

0:47

underperforming that month. But what

0:50

does it mean? Is the fund gone forever?

0:52

Is he going to work at McDonald's as

0:54

some people were trying to make it seem

0:55

like it was happening? Obviously that's

0:56

not going to happen. and he's going to

0:57

have a long career. Lot lots of people

0:59

are rooting for him. I'm certainly

1:00

rooting for him. There are some facts in

1:02

this letter that we should read through.

1:03

So he writes uh this is Leopold

1:06

Ashenbrunner to the LPs of uh

1:08

situational awareness LP. We let you

1:10

down this month. We came closer to

1:12

permanent capital impairment than is

1:14

acceptable to us. While we ultimately

1:16

found a solution that protected the fund

1:18

and you as investors, that was the sale

1:20

of the of the public equity book to

1:23

Citadel. there was some other structure

1:25

going on to get liquidity. Um he said we

1:28

ultimately found a solution that

1:29

protected the fund and you as investors.

1:31

Our intention in running the fund is to

1:33

never find ourselves in such a position

1:36

in the first place. Volatility is the

1:38

price of long-term investment returns.

1:40

Uh over the past two years, we have

1:42

delivered outstanding results. That's

1:44

100% true. It was up what a thousand% at

1:46

one point or something like that.

1:48

>> Yeah, something like that. I mean it got

1:49

up to what 45 is the number? 45 billion

1:52

AUM from an original raise less than two

1:55

years ago I believe of $250 million

1:58

which seemed crazy at the time like he's

2:00

he's a young he's a young first-time

2:02

hedge fund manager he's got $250 million

2:04

that's crazy then pretty soon it was

2:05

like oh he's got a couple billion that's

2:08

crazy then it was like he's got tens of

2:09

billions then he's got uh half a centy

2:12

billion um so he says over the past two

2:16

years we have delivered outstanding

2:18

results despite occasional sharp

2:20

pullbacks probably they're not the first

2:22

time. There's been other pullbacks in

2:23

the market and those have probably been

2:25

amplified but never gotten to this level

2:28

of of actually distressing the fund in

2:30

this way. He said, "But our fund must

2:32

always be structured such that we can

2:34

take a loss and fight another day." And

2:36

that's a recurring theme in this. The

2:38

writing in this letter is really good.

2:40

Very clear, very direct. Uh not being

2:43

dodgy, very upfront. I I love the way

2:46

it's written.

2:46

>> Almost kind of like there's that PG

2:48

advice to like write very clearly. Yeah.

2:50

I I think it was very kind of in that

2:52

line.

2:52

>> There's a lot of that in here. Yeah. So

2:53

he says, "I will make it my mission to

2:55

ensure that we learn the necessary

2:57

lessons from this experience." Here's

2:59

where things stand. One, the portfolio

3:00

experienced a significant draw down over

3:02

the course of July, which was

3:03

exacerbated by extreme moves in core

3:06

positions over the past week. Many AI

3:09

names drew down by half or more uh while

3:11

our positive long short spread reversed

3:13

violently. Um while we could say much

3:16

more about how unusual the month was, we

3:19

hold ourselves to a higher standard

3:20

irrespective of market conditions. Two,

3:22

as these moves proceeded, we started to

3:24

see increasingly adverse trading in

3:27

names publicly associated with us. So

3:30

this is the rumor that uh Martin Skrey

3:33

was talking about yesterday. This idea

3:35

that there's blood in the water,

3:37

>> you can kind of sniff out if someone's

3:38

hurting and then

3:39

>> Exactly. And then short, sell those

3:41

positions, sell those names. uh go put

3:44

some pressure on those downward pressure

3:45

to actually intentionally hurt that

3:48

fund. Uh it's a knockout dragout fight

3:50

there on Wall Street clearly. Um but

3:53

that's the game you're playing that

3:54

that's that's why you get paid the big

3:55

bucks if you can pull it off. So uh

3:57

these these dynamics are essentially

3:59

similar to a bank run. Uh crazy to put

4:02

that word in there. A lot of people

4:03

would be dodging that but very very

4:04

direct. I love it. Uh vulnerability be

4:07

getting more vulnerability. We worked to

4:09

keep the portfolio within our risk

4:10

parameters, but gradually this became

4:12

more difficult as positions rapidly

4:13

moved against us and market liquidity

4:15

dried up. On Wednesday night, Thursday

4:17

morning, we took decisive action to

4:19

protect LP Capital. We traded a portion

4:22

of our public portfolio in a block

4:24

transaction to remove all leverage from

4:26

the fund and prevent further losses. All

4:28

shorts were closed and reliance on

4:29

portfolio financing removed. We

4:31

currently manage a fully paid for public

4:33

book long stock and long fully paid for

4:36

options with no margin liquidity risk.

4:38

This restored stability and allowed us

4:41

to preserve our private positions. So

4:43

this feels like down but not out for

4:45

sure. Yeah. And he says I take full

4:47

responsibility for these events. That's

4:49

just the full paragraph. He just says I

4:51

take responsibility. No equivocating.

4:52

It's great. Uh to be clear, this should

4:55

rightly have been a very painful month

4:58

in terms of the performance of our fund.

5:00

When AI stocks draw down dramatically

5:01

while AI technical business fundamentals

5:03

are improving, you should expect our

5:06

fund to be down a lot. We embrace

5:08

volatility, but it should never

5:10

jeopardize the fund. The fund was not

5:12

shut down. It was not liquidated or

5:14

transformed into a privateonly fund.

5:17

This was something that a lot of people

5:18

were speculating on was is this going to

5:21

be private only? Are they only going to

5:22

have their private book? Is it just

5:23

going to be the anthropic position

5:24

that's going to be riding? Or is it just

5:26

going to be liquidated and they're just

5:28

going to return capital LPS and just

5:29

say, "Hey, we're going to start

5:31

completely fresh. Do something

5:32

completely different." Even even like an

5:34

like an aqua hire like the, you know,

5:36

situational awareness becomes like a a

5:38

desk at another fund. None of that's

5:40

happening. He's very clear about this.

5:41

Situational awareness is not shutting

5:43

down. It's not liquidating and it's not

5:45

transforming into a private only fund.

5:47

He says, "We are continuing to operate

5:48

as a hybrid public private fund as

5:51

before. However, we will manage our

5:53

public book on a fully paid for basis

5:54

while we draw the lessons from these

5:56

developments. Most importantly, we took

5:58

the steps that were necessary to fight

6:01

another day." I love it. A rallying cry

6:04

to both the LPs and the employees. I'm

6:05

sure in the coming weeks, I will focus

6:08

on putting in motion the necessary

6:10

changes across a portfolio management,

6:11

risk team, and vigilance applied across

6:13

the board to ensure a higher level of

6:15

resilience going forward. AI may

6:16

continue to intensify market volatility

6:18

for years to come. And that is something

6:20

that is so clear outside of the

6:23

situational awareness bottleneck trade

6:25

longtail low market cap high volatility

6:28

stocks. Like I have never seen the MAG7

6:31

trading like this where across earnings.

6:32

We're going to get into this with

6:33

recapping uh Meta, Apple, Amazon,

6:36

Microsoft.

6:37

>> Yeah. I mean I think it the the stat was

6:39

Microsoft had the biggest day ever.

6:43

Yeah. So you're seeing you're seeing

6:45

trillion dollar companies move by 10% 9%

6:49

15%. It's insane that anything can

6:53

happen at that scale. Uh and so uh

6:56

clearly there is going to be a lot of

6:59

volatility. Uh and I think he's right to

7:01

point out that it is based on the AI

7:03

trade. There's so much uncertainty about

7:05

one little number about how the capex is

7:08

going to trade back. you know the the

7:10

investors in these in these large

7:12

companies let alone the small ones are

7:14

moving the stocks significantly and that

7:16

makes his job all the harder. Uh he says

7:18

these were very expensive scars but I am

7:20

dedicated to ensuring they will be

7:22

invaluable lessons for our organization

7:25

and for myself as we move forward. My

7:27

core promise to you is that we will not

7:29

waste the opportunity to learn from

7:31

these events on the portfolio itself. We

7:34

are very optimistic about the current

7:35

investment opportunity set. Of course, I

7:38

mean, the thesis still holds. Uh, the

7:40

underlying fundamentals are accelerating

7:41

at the very same time that prices have

7:43

declined significantly. Uh, thank you

7:45

for your patience and your partnership.

7:46

I'm fully invested alongside you.

7:48

Virtually all of my capital is in the

7:49

fund, and I intend to work relentlessly

7:51

to demonstrate that the events of this

7:52

month have made me a wiser and stronger

7:54

investor. Uh, he says he's available for

7:56

calls. But he also says that uh the as

7:59

an interant update the uh current

8:01

unodudited estimate of net monthto-date

8:03

performance this is for all of July

8:05

basically negative 67%

8:08

sounds atrocious until you realize that

8:12

net year-to- date they're still up 80%

8:14

which is like better than any investment

8:17

fund uh ever. So uh people are

8:20

definitely you know maybe down but not

8:22

out that there's going to be a second

8:24

act here which I think everyone's very

8:25

excited for. A lot of people were

8:27

praying for his downfall. It's very

8:29

unfortunate to see. I

8:30

>> mean, this I think this was really good

8:32

letter. I mean, this is like instills so

8:34

much faith. Like, yeah, he's completely

8:35

levelheaded. He's not like freaking out

8:37

selling everything.

8:38

>> You're calling it another billion dollar

8:39

PDF.

8:40

>> Yeah, this could be the second billion

8:42

dollar PDF.

8:42

>> It might be.

8:44

I mean, Shelto agrees. Shelto had a

8:47

great position. What did he say?

8:49

>> Uh, he said, uh, prediction situation

8:51

awareness will be bigger than Citadel by

8:53

the end of the decade. Leopold has

8:54

predicted the last two years better than

8:56

anyone else. Now that he can combine

8:57

that with very expensive lessons in

8:59

risk, he will be unstoppable. He is my

9:01

full confidence.

9:02

>> This is such a wild

9:05

Kane Griffin sitting there being like,

9:06

>> "You got to ride with your boy."

9:07

>> Shelto like you're going to take a shot

9:09

at me like that, bro? Really? Really?

9:11

You're going to come for me like that?

9:13

Uh because I will die before I am not

9:15

the biggest hedge fund manager in the

9:17

world. Pull up a live view from the

9:18

Citadel trading floor because we got

9:21

some leaked video.

9:28

This is not the vibe that Martin was

9:32

articulating. Ken Griffin's wanting to

9:34

be framed as like the savior, the legend

9:36

of last resort. Positive force.

9:39

>> This is the guy you want to call.

9:40

>> I guess

9:41

>> this guy right here.

9:43

>> Dune. So good. Is this from Dune 1 or

9:45

Dune 2?

9:47

>> I think one I want to say Dune one.

9:51

>> Yeah. Beautiful.

9:56

>> It's very heavy though.

9:57

>> So I I think one of the the big stories

9:58

of the last, you know, few days is we've

10:00

seen all these new Leopold photos. We've

10:02

never seen these before. Brand new rare

10:04

Leopolds from Wall Street Journal.

10:06

>> This might be the biggest story of them

10:07

all.

10:08

>> Yeah. Cuz I mean for a while the only

10:10

image of Leupold was basically there was

10:12

like one head shot and then it was just

10:13

steals from Dark Cash podcast. Yeah.

10:15

>> And now we're just seeing all these new

10:16

ones. Like where did these come from?

10:18

There was one and then there was a photo

10:19

that was done I think for the Wall

10:21

Street Journal, but then the New York

10:23

Times writes up the whole story of the

10:25

of the situational awareness uh deal

10:27

with Citadel and they just drop a banger

10:31

new photo that they just had in the

10:32

archive that they could have leaked.

10:35

Let's pull it up. It's here. Uh it's

10:38

Leopold looking very uh pensive behind a

10:41

glass wall. This one's in the Wall

10:42

Street Journal today. This one's new,

10:43

too. Everyone's been clamoring for this

10:45

because the one that goes viral is him

10:46

in that green suit. This is the one.

10:48

>> I'm pretty sure that's AI, right?

10:49

>> That's AI. But this one is not. This is

10:51

from the New York Times. They went and

10:53

shot this and then never published

10:55

anything. Like the first time Leopold

10:57

was mentioned in the New York Times was

10:59

yesterday and they used this photo. And

11:01

so you have to wonder if they were like

11:03

working on a profile.

11:05

But Leopold's been so quiet with his

11:08

public relations strategy. He's not

11:10

talking to media, doing photo shoots,

11:11

doing profiles constantly. Like he

11:13

certainly could be doing more in

11:14

Bloomberg, at Forbes and Fortune. like

11:16

he could be doing a lot, but he's had a

11:18

very narrow strategy and I think it's

11:20

worked very well for him. Um, but it's

11:22

funny that somehow all the mainstream

11:24

media just has secret Leopold photos and

11:27

dropping on the timeline. Uh, John

11:29

Arnold is chiming in. He says, "My

11:31

philosophy when I used to hire traders

11:33

was that the optimal number of past

11:35

blowups was one." He's not saying zero.

11:38

>> Yeah.

11:38

>> He says you got to learn your lesson.

11:39

>> The question is, how does the FTX future

11:41

fund count? Does that count?

11:42

>> I don't think that counts at all.

11:43

>> That it definitely doesn't count as a

11:45

full blowup. wasn't a fund manager of

11:47

it, right? It wasn't it like for

11:48

donations and then FTX was just the one

11:50

that was funding.

11:51

>> Yeah, it was like he was doing stuff.

11:53

>> That seems Yeah, that seems completely

11:54

separate. Is Is the wedding photo AI or

11:57

is this real? And is he carrying an

11:59

American flag? Let's pull up this image.

12:01

>> I saw Yeah, this one I've never seen

12:02

before until yesterday as well.

12:03

>> I I mean, like if it's the wedding, like

12:05

the wedding's happening right now, this

12:06

wouldn't exist. But I I'm wondering if

12:08

this like leaked onto the timeline from

12:10

someone who was there. Also, this photo

12:12

hit like Wednesday, and I think the

12:14

wedding would be over the weekend. Um,

12:15

but it's cool that he's just rocking

12:17

carrying an American flag international.

12:20

Uh, yeah, the real lesson here is never

12:22

travel internationally because he takes

12:24

one day off, one weekend off to go to

12:26

Europe and everything go everything

12:28

blows up. No, of course this one I was

12:30

laughing at before the show. Rambo says

12:33

comparing Leopold Ashen Brener to Bill

12:35

Wang. Wang is Wang is the goat. Wang

12:38

Bill Wang from Arc Ghost. Uh, Wang is

12:40

the goat of degenerates and Leopold is a

12:42

sheep compared to him. Did you know that

12:44

Wang turned 200 million into 36 billion

12:47

and it was all personal capital? The guy

12:50

literally led prayer circles in the

12:52

conference room before trading days

12:53

started. He had $ 160 billion of stock

12:56

exposure on just 36 billion of capital.

12:59

It's like five or 6x lever. His blow up

13:03

happened in two days and he literally

13:05

caused the collapse of one of the most

13:07

prestigious investment banks. Banks lost

13:09

a total of 10 billion combined because

13:11

of his collapse. Leopold is nothing

13:13

compared to

13:16

so

13:16

>> get her numbers up.

13:18

>> Yeah. No. Uh yeah. I mean that that

13:20

that's the interesting thing here is

13:21

that like it is this sort of like

13:22

dramatic unwind, but at the end of the

13:25

day it is just like an overthe-c counter

13:27

transaction with Citadel for a block of

13:29

trades and block of equity positions.

13:31

>> And the fund is still around. I mean

13:32

they still seem to be like probably

13:34

going to be doing very well.

13:35

>> They'll be Yeah, they'll be okay.

13:36

Citadel will be okay.

13:37

>> Be bigger than Citadel pretty soon

13:39

>> any day now. Uh and and and importantly

13:42

uh all of the all of the prime brokers

13:45

the big banks like they were not

13:46

affected. There was not uh there was not

13:48

like a liquidity crisis that yeah that

13:50

uh a contagion effect did not take root.

13:53

Uh Roy Driscoll says uh there's nothing

13:54

to learn from the situational awareness

13:56

situation about the AI trade. Leo was

13:58

right in 2024 and based on the Amazon

14:01

results, he's still right today. Hypers

14:03

scale capex continues unabated. There's

14:05

obviously something to learn about risk

14:07

management. Forex leverage with high

14:08

beta stocks is a mistake in trading

14:10

stocks. Half the battle is getting the

14:12

trend right, but the other half is

14:14

nailing the portfolio construction.

14:15

Well,

14:15

>> yeah. I mean, this is what um Martin was

14:17

saying yesterday, right? Like the

14:18

underlying completely makes sense, but

14:20

like you get into these crazy psychology

14:22

things where it's just like, yeah, who's

14:23

really

14:24

>> everyone's focused on the leverage. It

14:25

does also seem like there were like

14:26

every time the 13F would drop, it would

14:28

be like 12 names, which is like not a

14:30

lot of diversification. So, I wonder

14:32

like right now the message from the

14:34

letter is we're not using leverage right

14:35

now. we're going to be learning the

14:37

lesson. Yeah, maybe the lesson is, hey,

14:39

2x leverage or 3x or something like that

14:41

or four in certain scenarios with

14:43

smaller trades, not portfoliow wide or

14:46

something like that. But it will be

14:47

interesting to see if there's a

14:48

difference in uh if if the the lesson

14:50

that's learned when the next 13F drops

14:52

in a couple quarters, we see, oh wow, he

14:55

has like a hundred names or or there's,

14:59

you know, he's he's using more options

15:01

or less options or, you know, whatever.

15:03

However it changes, that will be

15:04

interesting to see for sure. So Leopold

15:06

still has Anthropic, Maddx, and Fluid

15:08

Stack, tier one private companies. He

15:10

can probably raise two to three billion

15:11

more. It's not over for him by any

15:14

means, says Zephyr. There's been this

15:16

vibe of like it's too good to be true.

15:18

>> Tall Puppy Syndrome, you know, he's he's

15:20

the AI getting away with Wonder Kid.

15:23

Yeah. You know,

15:24

>> yeah, people uh people hate to see a

15:26

young a young

15:28

>> a young goat,

15:28

>> a young young hedge fund manager run it

15:30

up crazy. Lexi Goozy says, "Uh, keep

15:33

people keep making fun of Leopold on the

15:35

timeline, but everyone one everyone

15:37

needs to get margin called once in their

15:38

life. Is this true?"

15:40

>> Delian had a similar take, right? He

15:42

said, um, uh, basically all the goats on

15:44

Wall Street have had some sort of blow

15:47

up earlier in their career part of the

15:48

game of being a live player on the

15:50

field.

15:50

>> So,

15:51

>> but yeah, is that true? I

15:53

>> I don't think that's actually true. I

15:55

don't think Warren Buffett ever blew up.

15:57

I don't even think Ken Griffin ever

15:58

really blew up. I think he had a really

16:01

bad year in 2008 during the financial uh

16:04

during the housing crisis, the financial

16:06

crisis. But early on, I think he got his

16:09

start sort of post.com and was doing

16:12

convertible debt trading and and never

16:14

really like the entity has always been

16:16

Citadel. There was no precursor to that.

16:18

Um but but it's a fair take that like

16:20

clearly people can blow can can build

16:23

back up after there's a

16:24

>> Yeah. I mean there there's a lot of

16:25

comparisons to PT, right?

16:27

And then they're saying, "Oh, this is

16:28

also kind of

16:30

>> uh lose take, right? Go into VC, then

16:32

you can kind of do the long only thing."

16:34

>> The real the real hack would be to uh

16:37

just raise the smallest hedge fund ever,

16:40

$10,000, lever it, blow it up, and be

16:42

like, "Wow, I'm postfall."

16:45

>> Oh, yeah. He's postfall now.

16:46

>> He's postfall now. And so, but but if

16:48

you do it with like such a small amount

16:50

of capital, but you can still be like,

16:52

"Oh man, I learned so much. That was

16:54

really crazy. Those were crazy crazy

16:55

times. I lost $500.

16:58

Ready? Ready for the real fund now? Uh,

17:01

no. Uh, Leo still made incredible

17:03

returns. His fund will do incredibly

17:05

well in the long term. Lots of people

17:06

coming out in support. Um, one person

17:09

that's not in support.

17:12

Joe Eisenthal is uh is going back and

17:14

forth with Tracy. That's hilarious. So

17:16

Joe has been uh live tweeting this. He's

17:18

he's been making a bunch of great points

17:20

and and just illuminating the deeper

17:22

level of like what's going on with prime

17:23

brokerages and all these different

17:25

aspects of what's going on. But Joe

17:27

started by sharing the Wall Street

17:29

Journal article that said that Citadel

17:30

buys situational awareness stock

17:31

portfolio after big losses in AI and

17:33

Tracy says why does he have to get

17:35

bailed out at all? And this is another

17:37

question like is this a liquidation? Is

17:39

this a blow up? Is this a bailout? Uh it

17:43

would be it would have been a very

17:45

different conversation if this had been

17:46

like a government bailout of of

17:48

situational awareness. That's not what

17:50

happened. But

17:51

>> Tracy says, "Why can't we just let the

17:53

speculators fail?" Joe Wisenthal says,

17:55

"Who says he's getting bailed out? He

17:57

entered into a transaction with a will

17:58

and counterparty." And Tracy says,

17:59

"Isn't that a bailout? Why not just keep

18:01

managing the fund? Why not beat Kathy

18:03

Woods and have a bad day and live to

18:04

tell another tale?" Uh except there were

18:06

probably too many redemptions, so it was

18:08

spiraling. Uh Joe says he got margin

18:10

called. And Tracy says, "So it is a

18:11

bailout. Just let it fail, but maybe it

18:14

was too big and could see the

18:15

contagion." Uh Joe says, "I don't get

18:17

what you're saying. Someone got gets

18:18

margin called and they have to pay the

18:20

broker." And the way they pay the back

18:22

the broker is selling off shares to some

18:24

other counterparty. How was that a

18:25

bailout? Like he's just selling. And

18:27

people associate every sale with a

18:28

bailout now, I guess. But that's not

18:30

what this is. This was not uh the

18:33

government stepping in. This is not

18:34

>> He was not too big to fail.

18:36

>> No, not at all.

18:36

>> I mean, some people were saying that he

18:37

could have been too big to fail going

18:38

in, but

18:39

>> Yeah. I it doesn't seem like that's what

18:41

happened. It seemed like there that

18:43

there were significant losses and then

18:44

they ran an auction and there were three

18:46

three parties bidding and they and and

18:49

the bids came in above above like you

18:53

know liquidation level. So the fund is

18:54

not liquidated. Yeah. And it and it

18:56

remains. Uh and so Joe after fighting

19:00

back and forth for several posts he says

19:02

I think we might have a different

19:02

definition of the term here. And I think

19:04

you do. I think you do. Um very fun.

19:07

This is an interesting scoop from Berber

19:09

Jyn over at the Wall Street Journal

19:10

related to this. Situational awareness

19:12

tried to sell a $ three and half billion

19:14

dollar stake in Anthropic to a group of

19:16

investors led by Green Oaks and Sequoia.

19:18

Obviously, there's a lot of demand for

19:19

the stock. Uh the parties reached a deal

19:21

late Wednesday, but then situational

19:23

awareness pulled out Thursday morning.

19:24

They turned it down. They

19:26

>> they turned it down.

19:26

>> They turned it down. Um

19:28

>> they went out for like 3.5 billion,

19:30

something like that.

19:31

>> Something like that. And they turned it

19:32

down just to grind for the public equity

19:35

book. uh they sold that to to to

19:37

Citadel. That obviously cleared a lot of

19:40

the risk out and they said, "Hey, let's

19:41

keep this position. We're extremely

19:43

excited about this. We're bullish."

19:44

Yeah. And so I don't know. Uh I think

19:47

will this be the subject of a book? Will

19:49

this be the subject of an actual movie?

19:51

Is it is it drama enough? Have we gotten

19:54

the FTX movie yet? Because that's way

19:56

more dramatic and I don't think that

19:57

ever happened. Yeah.

19:59

>> Um I haven't seen it. And then there was

20:00

Infinity M. Not Infinity Machine. There

20:02

was a Going Infinite. Is that the one?

20:04

That was the Michael Lewis book.

20:05

>> Michael Lewis book, but that was written

20:06

like before the blowup and so it was

20:08

like sort of uh it didn't really tell

20:10

the story like day by day. But like an

20:13

in the room fly on the wall

20:15

minute-by-minute account of this would

20:17

be interesting, but it's not that

20:19

dramatic because it doesn't end with an

20:21

explosion. It ends with like a okay,

20:22

we're back in the fight, which is cool.

20:24

I mean, it's maybe more positive

20:27

outcome. Big tech's AI spending is

20:29

continuing to produce blockbuster

20:30

financial results even as investors have

20:34

become increasingly selective about

20:35

which companies they're willing to

20:36

reward. Over the past two weeks,

20:38

Microsoft, Apple, Amazon, Meta, Alphabet

20:41

all reported quarterly earnings that

20:42

largely exceeded Wall Street

20:44

expectations. It's very boring when you

20:46

pull the did they beat on topline, did

20:48

they beat on bottom line. It's like

20:49

everyone beats and then the stock goes

20:51

down 10% or up 10% based on capex

20:54

forecasts and also just messaging around

20:56

AI diffusion and AI uptake. Microsoft

20:58

led the group with shares surging after

21:00

reporting fiscal fourth quarter revenue

21:02

of $90 billion, up 18% year-over-year

21:05

and ahead of the 87.4 billion that

21:09

analysts were expecting. Uh that was the

21:11

consensus estimate. Uh EPS came in at

21:14

474 versus expectations of 421. So they

21:17

beat topline, beat bottom line. Uh Azure

21:19

revenue accelerated 43% over

21:22

year-over-year. Apple

21:23

>> So they gained 450 billion in one day.

21:26

16%

21:27

>> 50 billion in one day.

21:29

>> That's for biggest one day market cap

21:31

gain for any US company.

21:32

>> Look at that. The god.

21:35

>> That's really really impressive. It's up

21:37

25% over the month. Uh very impressive.

21:41

Apple also beat expectations reporting

21:43

109.4 4 billion in quarterly revenue,

21:45

earnings per share of 202. Uh stock

21:47

briefly pushed the company market cap

21:49

cap uh above the $5 trillion mark, but

21:52

it has been uh absolutely tanking today

21:56

uh down what 10% today or something like

21:59

that. Let's see down 9.47%.

22:02

Uh last uh we'll go through two more. Uh

22:05

Amazon has also impressed investors with

22:06

revenue climbing 20% to 200 billion uh

22:09

200.6. AWS growing 37% to 42.4 billion.

22:13

uh sending shares sharply higher in

22:15

after hours trading. Here's Amazon. We

22:17

can pull that up as well. Uh the market

22:20

is up 13.76%

22:23

and the day is looking pretty good, too.

22:26

Up 15% today. The market's reaction

22:28

wasn't usually universally positive.

22:30

Meta posted stronger than expected

22:32

revenue of 60.8 8 billion, up 28%

22:35

year-over-year, but earnings per share

22:37

fell 6.18 uh $6.18

22:41

uh fell short of the $722

22:44

analysts had expected. Investors focused

22:46

on the company's 31.1 billion in

22:48

quarterly capex along with 3.6 billion

22:50

in onetime legal and severance costs,

22:52

sending the stock sharply lower. Let's

22:55

see what Meta is doing. Down just a bit.

22:57

Um Alphabet, meanwhile, reported revenue

22:59

of 119.8 8 billion while earnings per

23:02

share of9 uh11 comfortably beating

23:05

expectations while Google cloud revenue

23:07

surged 82% year-over-year to nearly 24.8

23:11

8 billion. Even so, investors remained

23:13

focused on the escalating cost of AI

23:16

infrastructure as hyperscalers continue

23:18

pouring hundreds of billions of dollars

23:19

into new compute capacity. And here's,

23:22

uh, here's Google. So, uh, we can dig

23:24

into this more. There's a whole bunch of

23:26

deeper questions about what is the

23:27

actual efficacy of Meta spending on AI,

23:30

how much are they spending on tokens,

23:31

how much are they spending on headcount,

23:33

all these things matter, but we will dig

23:34

into it another time. take us through

23:36

what's going on with uh OpenAI uh

23:39

pushing the model frontier access across

23:41

efficiency. What happened? They dropped

23:43

the cost of Luna.

23:44

>> Yeah. Yeah. So there's there's Luna

23:46

Terasol. This is the cheapest model.

23:47

Yes. Massively reduced cost. You can see

23:49

on the kind of Yeah. Pluto curve. This

23:51

is like actually much cheaper than a lot

23:53

of like open source models because you

23:55

because we've been talking about this

23:56

recently. It's like

23:57

>> there's cost per per task. Not just like

24:00

can it do it and how much do like it

24:02

depends a lot how token efficient the

24:03

model is.

24:04

>> Yeah. Because there you could measure it

24:05

on on cost per token, but if if a

24:08

certain model takes 10 times the amount

24:09

of tokens and it's only half the cost,

24:11

you wind up spending more. Yeah.

24:13

>> Why is the paro frontier in this graph

24:15

flipped? I feel like the paro frontier

24:17

used to be this direction. Am I am I

24:20

hallucinating that?

24:22

>> Has it always been this way? You always

24:23

want to be on the left side. I thought

24:24

you wanted to be on the right side or

24:26

something like that.

24:27

>> Well, it depends on where you are in the

24:28

PRIO.

24:29

>> I I I suppose

24:30

>> I guess I see I think I see what you're

24:31

saying.

24:31

>> I suppose. Uh anyway, uh we also I don't

24:34

think we touched on this, but ArcGIV3,

24:36

the leading labs been going back and

24:38

forth. Uh Opus 5 put up a very very

24:41

impressive number. Then OpenAI fired

24:44

back with 5.6 soul uh used to solve open

24:48

problems in mathematics. So why was it

24:50

struggling with Arc AGI V3 uh which you

24:53

at one point were in the top 10, right?

24:56

>> Yeah. Yeah. I I was uh I was globally

24:58

ranked Arc AGI V3. I I don't think it's

25:01

still up, but um

25:03

>> Arc AGI V3 player that's up there. You

25:05

were like you were uh pro-Aam.

25:08

>> Yeah. Yeah, I would say

25:09

>> you didn't go pro. You turned it down.

25:11

>> I turned it down.

25:11

>> You had the opportunity to be an AR.

25:13

>> They were going to give me like 10 more

25:14

tasks, five more tasks, something like

25:15

that.

25:16

>> Something like that. Uh but apparently

25:18

OpenAI was able to investigate uh the

25:21

low score of 5.6 Soul on ArcGIV3. And

25:24

the harness was not letting it remember

25:26

what it had learned. We found that

25:28

enabling two API settings tripled our

25:30

scores with 6x fewer output tokens. So

25:33

very interesting uh to watch these.

25:36

>> This is fascinating. I mean we've seen

25:37

this a lot over the past like I don't

25:39

know year and a half almost where the

25:41

harness like really matters a lot. Yeah.

25:42

>> And if you have the wrong harness or

25:44

it's like limiting the model in some

25:45

way. I mean it can have like massive

25:47

totally

25:48

>> like effects on the the downstream task.

25:49

>> Yeah. People were not expecting this. is

25:51

definitely like the the the the model

25:53

the god model will be just one model and

25:55

you'll just ask it to predict the next

25:57

token and it'll just do it perfectly. Uh

25:59

there's a lot more that goes into the

26:00

integration here. I still think ARC AGI

26:02

V3, I mean, fantastic benchmark. Love

26:04

the team. Obviously, Mike's been on the

26:05

show multiple times, but uh it's also

26:07

just a great way to actually illustrate

26:10

AI progress to someone that maybe just

26:13

doesn't want to build software or hasn't

26:15

built software before and doesn't really

26:17

can't really feel that visual

26:18

viscerally.

26:21

I can't say viscerally, I don't know. Um

26:23

>> well especially uh you know the the

26:25

famous like time horizon task doubling

26:27

every six months like that's basically

26:29

like we can't actually measure the the

26:31

high end now. It's like too hard. We we

26:32

we don't have enough task to like

26:34

measure it efficiently basically.

26:35

>> And a lot of people are just like what a

26:37

task that takes me 12 hours like what is

26:39

that? I don't even know. It's hard to

26:41

think of that off the top of your head.

26:42

Like what does that mean? Like building

26:44

a whole report or something or like a

26:46

lot of people work in like various ways.

26:47

like yeah 12 hours of meetings is that

26:50

one task I don't know but uh if you show

26:53

someone the archi v1 puzzle and it's

26:55

very easy and v2 is very p very very

26:58

easy and then you and then you walk them

26:59

through the story of how AI has

27:01

progressed on this and how hidden the

27:04

answers are you can pretty easily help

27:06

someone feel the agi which is very very

27:08

uh very very fun and we'll see you on

27:11

Monday

27:11

>> see you goodbye

27:13

>> flashback

Interactive Summary

Leopold Ashenbrener's Situational Awareness LP fund faced a significant drawdown in July due to extreme market moves and adverse trading, likened to a 'bank run.' In response, the fund sold its public equity book to Citadel, removed all leverage, and closed shorts, transitioning to operate as a hybrid public-private fund with its public book managed on a fully paid-for basis. Despite a -67% performance in July, the fund remains up 80% year-to-date and notably turned down a $3.5 billion sale of its Anthropic stake, highlighting confidence in its private holdings. The discussion also covered strong quarterly earnings from major tech companies driven by AI spending, albeit with investor selectivity, and advancements in AI models like OpenAI's Luna Terasol, which saw cost reductions, and insights into the critical role of model harnesses for performance on benchmarks like Arc AGI V3.

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