HomeVideos

All-In's Best Ideas Pitch Competition: 4 Investors Present Their Top Trades Live

Now Playing

All-In's Best Ideas Pitch Competition: 4 Investors Present Their Top Trades Live

Transcript

1937 segments

0:00

Maybe you could tell us a little bit

0:01

about how you selected our presenters

0:03

and your vision for this. I mean for any

0:05

of you guys who've been involved in Ira

0:09

this is a gentleman that passed away

0:10

from cancer far too young and his family

0:13

created this thing called the sone

0:14

foundation and they would host this

0:16

event and it started in Lincoln Center

0:18

and they would ask these managers and so

0:21

at the time I was like a young venture

0:23

investor and I got this invite and I

0:25

showed up in New York at Lincoln Center

0:27

in 2015 and I said Amazon's going to be

0:30

a trillion dollar company and I was

0:32

laughed out of the room. Uh David

0:34

Einhorn, who's a friend of mine, but who

0:36

was totally wrong, said, "I know

0:39

trillion dollar companies. This is not a

0:41

trillion dollar company." Wrong.

0:43

It turned out to be a great bet. I went

0:45

back. I did Tesla in 2016. We picked the

0:48

converts. And then in 2017, I was like,

0:51

"All right, this is my this is this is

0:53

it. This is my magnumopus." And I said,

0:57

"AI is the future." And then I picked

0:59

box.

1:01

I was like, if I had just picked Nvidia,

1:04

I would have been an Irish legend legend

1:06

and I could have retired. Anyway, so we

1:08

wanted to recreate Iris and start to get

1:10

these great managers who are making

1:12

great picks, making a ton of money for

1:13

their LPs. They don't get the

1:15

distribution and so it's just a chance

1:17

to like get to know some of these names.

1:19

You don't have to see them on CNBC.

1:21

You'll see them here more and more

1:22

often. And we can just get to Opine.

1:25

>> Roll the video.

1:25

>> Yeah. Ladies and gentlemen, welcome to

1:29

the best ideas pitch. Let's meet our

1:33

contestants.

1:35

>> Anyone should be able to trade any asset

1:38

anywhere in the world, anytime, 24/7,

1:40

with just an internet connection and a

1:42

phone in their pocket.

1:42

>> We're building a new financial system

1:44

from the ground up here.

1:45

>> People are going to want to own

1:46

equities, and it's going to be fun. In

1:49

the next couple years, companies going

1:50

to innovate and create products and

1:51

applications, and that's where hopefully

1:54

long short managers like us can make a

1:56

boatload of money.

1:57

>> My fund, Eco R1 Capital, which is based

1:59

in San Francisco, thinks of investing in

2:00

biotech in a slightly different way.

2:02

We're looking for unfollowed, unloved,

2:04

misunderstood biotech companies.

2:05

>> It's an amazing moment in time for those

2:07

types of companies. There's been a

2:10

structural and permanent perception

2:12

shift where both sides of the aisle are

2:16

going to be leaning into nuclear in a

2:18

big way.

2:18

>> I'm massively optimistic. You know, all

2:20

of this leads me to just the maximum

2:24

risk on.

2:29

>> Thanks the besties for having me. And

2:31

this is obviously a fabulous event you

2:32

guys have put on. I'm happy to be here.

2:34

Um, for those of you who don't know me,

2:36

um, I run a $4 billion firm in New York

2:38

called Serreta Capital. Um, before

2:41

founding my firm, I was, uh, I ran the

2:43

equities business for George Soros. Uh,

2:45

I was then CIO for Steve Cohen. Uh, and

2:48

I've been doing hedge funds now for 29

2:50

years. So, um, definitely on the older

2:52

edge of my my pure group. Um, so I was

2:56

thinking about, you know, I run a

2:57

generalist fund. Um, and you know, we

3:00

own a bunch of tech stocks, but you

3:02

know, given this audience here, for me

3:03

to pitch a tech stock would be

3:05

absolutely completely stupid. Um, so I

3:07

was thinking about what else. And you

3:09

know, obviously the theme of this

3:11

conference besides tech is poker. So I'm

3:15

going to pitch to you MGM. Now most of

3:18

you know MGM as uh you think about it as

3:21

the Vegas um company. They own 13

3:24

properties in Vegas. Um they're one

3:26

they're them and Caesars are the two

3:28

largest owners of uh casino assets in

3:31

Vegas. Um now if you notice um the other

3:35

day um Caesars got taken out. Um and so

3:40

we think Vegas is actually starting to

3:42

improve. Um but I'm not here to pitch

3:45

MGM because of Vegas. What I'm

3:49

going to tell you is there's a couple of

3:50

things we noticed. One is this company's

3:54

been very aggressively been stock's been

3:56

aggressively acquired by Barry Dillard

3:58

lately. Um Barry now owns 26% of the

4:01

company. Um now I put this presentation

4:04

together two weeks ago. Yesterday he

4:07

actually bid for the company. Okay. So

4:09

when I put the presentation together the

4:11

stock was about $37. It's now high40s.

4:14

He bid $48. Okay. I would not sell my

4:18

shares to him.

4:19

>> When did we get this presentation? Did

4:21

we get it early enough to trans?

4:23

>> Uh I would not sell his I would not sell

4:25

my stock to him for a second. And the

4:28

reason is also besides him buying the

4:31

stock, the company's also been buying

4:33

the stock. Rarely have I ever seen a

4:36

company in 6 years buy half their float

4:39

back. So you have Barry Diller who's the

4:42

legend aggressively buying the stock and

4:44

it's also now 80% of his NAV. Okay. So

4:48

you most people think of Barry Diller as

4:50

the ABC producer. He did I which owned

4:53

assets like Expedia and now he's a

4:56

casino guy. What is going on here? So we

5:00

spent a lot of time

5:02

um asking ourselves why um and why is

5:08

MGM has two hidden assets. Okay. The

5:12

first one

5:14

is, and this is sort of our the

5:17

punchline of what we think the stock is

5:19

worth. So you add the Vegas assets plus

5:22

China, you get about little low60s. So

5:25

from $48 or 37 when I started this,

5:29

great return. What is they what they

5:32

have now is a license to open a casino

5:36

in Aaka, Japan. Japan a couple years ago

5:39

went through a whole referendum around

5:41

the country. They have prefixures. The

5:43

prefixures voted. The only one that

5:46

decided to own open a casino is Osaka.

5:50

Now Osaka is and this is what the

5:53

asset's going to look like. It's going

5:54

to open in 2030. If you go to the

5:57

company slide presentations, they sort

5:59

of mention this, but they're not really

6:01

talking about it. Um, Japan, just for

6:05

you people, um, sorry, I don't know,

6:08

this is very slow. Um, Japan actually

6:10

has a reasonably large gambling market.

6:12

They have pachinko parlors and they have

6:14

horses. That's about a $40 billion

6:16

market. If you look at the market in

6:18

Macau, that's $30 billion. And if you

6:20

look at Vegas, it's only $10 billion.

6:22

So, this could be a massive opportunity.

6:26

Um, you know, we're estimating they'll

6:28

do about $2 billion of IBIDA. They own

6:31

40% of the property. Um, they also get a

6:34

management fee for this. Um, if you also

6:36

look at where Osaka is located, it's a

6:39

great, you know, so the Japanese like to

6:41

gamble, but the Chinese really gamble.

6:43

Okay. So, if you look at where it is

6:46

from Shanghai, it's shorter than Macau

6:48

and Singapore, which are the two big

6:50

gaming options in Asia. And from and

6:53

from Beijing, about the same distance as

6:55

Macau, and obviously much shorter than

6:57

going to Singapore. So, if you want to

6:59

go gambling for a weekend and you live

7:01

in Shanghai, live in Beijing, Osaka is

7:04

great. It's also a first world nation.

7:06

Um, and if you think about as an

7:08

investor, where would you want to have

7:09

your money? Look, Macau has issues. It's

7:13

a low multiple business. This is Japan.

7:15

It's a first world country. So, we think

7:17

Barry Diller is understands gambling. He

7:21

understands casinos. But what he's

7:23

really doing is now trying to pick off

7:25

the company to get the Japanese

7:28

opportunity which we think is worth will

7:30

more than double the stock. The final

7:32

option and I'm keeping this simple. What

7:34

I love about this pitch is it's really

7:36

simple. It's not that hard to do the

7:37

math. MGM is built somebody they're

7:41

they're they're branding they're

7:42

building a property in Dubai. Okay. Now

7:45

it's going to it's a grand complex. It

7:48

has an Arya. It has an MGM and it has a

7:50

Bellagio. Gambling is illegal in Dubai

7:53

right now. Okay. But they have snuck in

7:58

this building 300,000 square ft of cu of

8:02

space. Well, one day if Dubai decides to

8:06

legalize gambling, guess where it's

8:09

going? Right there.

8:11

Next year, two, sorry, two years from

8:13

now, win is going to open a casino in a

8:16

place called Ararjan, which is 45

8:19

minutes away from Dubai. Now, any of us

8:22

who want to go gambling in Dubai, we

8:25

arjan's a bit of a pain in the ass to

8:26

get to, we're going to want to go here.

8:29

So, we think there's a chance that

8:31

especially when win opens. Also look,

8:33

there's a possibility of the war, you

8:36

know, Dubai wants to reestablish

8:37

themselves that they open a casino in um

8:42

Dubai and you know what that would be

8:44

worth. So when you take the Vegas

8:47

assets, which we think are worth about

8:48

60, when you take Japan, which we think

8:51

is worth about 50 bucks, if Dubai

8:53

happens, that's worth another $40 or

8:55

$50. So we think the stock is a triple.

8:59

Bar remember Barry's bidding for the

9:01

company. Okay, he is not a strategic

9:04

buyer. He is a financial buyer and he's

9:06

doing it to get rich. So therefore, I

9:09

think this company is now in play. I

9:12

don't know how it's all going to play

9:13

out, but if you own shares, don't tend

9:15

to them. And the riskreward is

9:17

incredible right now because, you know,

9:19

I'm telling you, I think the stock could

9:20

be easily worth over 100, could be worth

9:23

150. And now you have Barry Diller who

9:26

is a has a firm bid owns 26% of the

9:29

company basically at the same price. So

9:32

I think this is a cool idea.

9:33

>> Well done.

9:36

Okay. Uh anybody let's uh do two

9:39

questions and uh yeah we'll put we'll

9:41

give you both questions at the same time

9:42

for efficiency.

9:43

>> How much have you looked at like the

9:45

monetization of the assets outside of

9:47

gambling? I had heard from someone that

9:49

Barry Diller was spending a lot of time

9:50

trying to reinvent the entertainment

9:52

piece of the properties. he was active

9:54

on the board and they were trying to

9:56

identify that the entertainment property

9:58

is way the entertainment value is way

10:00

undermonetized and they could be making

10:02

a lot more per

10:03

>> Okay, don't answer yet. That's question

10:05

one.

10:05

>> And then question two is how when you

10:07

expand internationally do you scale

10:10

customer credit because that tends to be

10:13

the thing that drives

10:14

>> you know people to come back and

10:16

>> well obviously MGM let me start with

10:17

your question first. MGM has a massive

10:20

database of customers, right? So, you

10:22

know, I assume the Vegas properties have

10:24

guys that come from China, they come

10:26

from um Japan. They'll use that database

10:29

to do it. They also have a loyalty

10:30

program. Um I unfortunately made a bad

10:33

investment in a company called Rio, the

10:34

Rio, which was in Vegas. Um which we

10:37

bought when they separate when Caesar's

10:40

merged with El Dorado. Um they had to

10:42

shed an asset. Um that was that was uh

10:45

the Rio. We I did an investment with a

10:48

couple of friends and we were buying the

10:50

thing at $200 per square foot. The thing

10:52

we forgot was when you separated from

10:55

Caesars, you lost the loyalty program

10:57

and that ended up two quick questions

10:59

from the audience.

11:00

>> Wait, I got to ask Kyle's question.

11:02

>> Hold on. Question and then from the

11:03

audience.

11:04

>> Let me get his first.

11:05

>> The entertainment question.

11:06

>> I don't know the answer. I don't know

11:08

the answer to that. If it's if he can

11:10

make them better, it will help.

11:13

>> But as I'm saying, this is not really a

11:15

Vegas. This is an Asian casino play that

11:20

>> the and if if you look at their

11:22

presentations which is really cool.

11:25

>> They are not they barely mention it. So

11:27

what one of the things we happened

11:28

besides we were hoping one of the cat so

11:30

looked I worked at SACE and one of the

11:32

things we focus on is catalyst path.

11:34

>> So what was the catalyst path? The

11:36

catalyst path was they would have an

11:38

investor day blah blah blah. Barry just

11:40

showed his cards. So, um, but you know,

11:44

>> Aaron, two questions. Caesars left Dubai

11:47

waiting for a license. Why would this be

11:50

different for MGM? That's question one.

11:52

>> And then question two is the Osaka

11:54

Casino was approved in 2023.

11:57

Why was the market ignoring this hidden

11:59

asset until the bid?

12:00

>> Sure. Let me answer this. So, what's

12:03

also cool about this idea was, so I've

12:05

been doing this for 29 years. um win um

12:10

they opened Macau. So Win started as a

12:12

Vegas property then opened Macau. The

12:14

market started caring about it about 3

12:17

years before it opened. Um so that the

12:20

answer is they should care about it. The

12:22

reality is it's tends to be about 3

12:24

years before it opens. Well, we're

12:26

almost in that time frame, which is why

12:28

we think it's opportunistically the

12:30

right period of time. Um I, you know,

12:32

regarding the question with Caesars,

12:34

look, this is an option. As I told you,

12:36

somebody built this project for them.

12:39

They are running it for them and they

12:42

were intelligent enough to leave 300,000

12:45

square ft of empty space in case they

12:47

get a casino. Well, if that happens,

12:49

great. If it doesn't, you know, you're

12:52

still going to double more than double

12:53

your money. So, you know, you if if it

12:55

happens, you triple your money.

12:56

>> Free option. You're saying

12:58

>> it's free option.

12:59

>> Well done. Big round of applause.

13:01

>> Thanks, guys. Appreciate it.

13:02

>> Nicely done, Aaron.

13:04

Next up, Daniel.

13:06

>> Long time no see.

13:09

So, today we're doing talent energy. Uh,

13:12

but first,

13:14

the anatomy of a power cycle.

13:19

So, a power cycle typically goes like

13:22

this. In normal times, power demand

13:24

grows about GDP. So, if GDP grows 2%,

13:27

power demand grows two. If GDP grows

13:29

three, power demand goes three. And

13:32

there's moments in time where we get

13:33

technological breakthroughs and a lot of

13:36

those technological breakthroughs are

13:37

very power intensive. So power demand

13:40

spikes

13:42

and once everybody adopts that

13:44

technology

13:46

it trends back down to its onal

13:48

algorithm

13:50

GDP growth and then you go through the

13:54

efficiencies phase where we say let's

13:56

try to conserve and figure out ways to

13:58

consume less power and then the cycle

14:01

starts all over again. So, you know, in

14:03

history, the big technological boom that

14:05

sent power demand skyrocketing was

14:08

appliances and air conditioning.

14:10

Everybody had to get their kettles and

14:12

and the aircon. Then in the 70s and 80s

14:16

and 90s, demand normalized again. But

14:18

then the 2000s were all about

14:20

efficiencies. You know, we had like LED

14:22

lighting, smart HVAC, tinted windows,

14:24

smart electronics. And at the same time,

14:27

as I said earlier, we were like, you

14:29

know, ripping down all our power- hungry

14:31

infrastructure like aluminum smelters

14:33

and moving over China. So, we had two

14:35

decades of effectively no power demand.

14:38

And now we're just coming out of it and

14:40

starting a technological cycle again

14:43

where power demand is going to really

14:45

start to explode from these sort of high

14:47

2% numbers you're seeing on the screen.

14:49

Now, I want to say something right now

14:52

that is incredibly important.

14:57

We do not need AI demand to keep the

15:02

power markets incredibly tight for the

15:07

next 20 years.

15:10

AI demand just turbocharges.

15:13

That's all it does. And it creates

15:16

shortages. So just remember that. Early

15:19

in my career, I was on a panel with Sam

15:23

Zel. Interestingly, it was a panel on

15:26

opportunities in Mongolia. I was looking

15:27

at a copper mine and he was looking at

15:29

real estate. There was one thing he said

15:31

that stuck with me for the rest of my

15:33

career is he said, "If you can buy an

15:37

asset, a hard asset at below replacement

15:40

cost for an asset that's going to be

15:42

needed in the future where we're going

15:43

to need to build new capacity of that

15:45

asset. Then you buy that asset at the

15:48

discount to replacement cost. You hold

15:50

it and you sell it at a big premium to

15:53

replacement cost when the market wakes

15:55

up. That's exactly we did with Equity

15:56

Office properties. Sold it at the peak

15:58

of the market but bought it at a

16:00

discount to replacement value. Talon

16:02

Energy is a power producer. They have 2

16:05

gawatts of nuclear power and they've got

16:07

6 gawatt of natural gas base load power.

16:10

Today in the stock market, as a good

16:14

speculation, you could purchase this

16:16

company at a $25 billion enterprise

16:18

value. the replacement cost is 45

16:20

billion. And because they've got debt,

16:23

it means that the equity value uh just

16:25

to get to replacement cost uh is more

16:28

than a double uh from where it's trading

16:30

today. And if you follow Sam's playbook,

16:34

then we ultimately end this cycle at a

16:36

big premium to replacement value.

16:39

So when I see this,

16:42

I say the plan for America

16:45

on the power side has to be this. Make

16:49

America great again. Copy China.

16:54

If you look what China did over the last

16:56

20 years, we started out this cycle with

17:00

having 2x the power generation that

17:02

China had. Fast forward to today, China

17:04

has three times the power generation

17:06

capacity that we have. Now, if you

17:10

believe that artificial intelligence is

17:12

going to be responsible for scientific

17:14

breakthroughs, you either have it or you

17:16

don't have the scientific breakthroughs.

17:17

If you believe that artificial

17:18

intelligence is going to drive robotics,

17:20

you either have it or you don't have

17:21

that productivity from the robots. If

17:23

you believe that artificial intelligence

17:24

is going to be helpful for national

17:27

security and military affairs, then you

17:29

either have it or you're dead. And so

17:32

this is an absolutely mandatory

17:36

buildout that we have to do otherwise

17:39

we're going to fall behind because at

17:40

the end of the day what is a data

17:42

center? You know in my world in the

17:44

commodities world I look at a data

17:45

center as the exact same thing as a

17:47

refinery. In a traditional hydrocarbon

17:48

refinery you put oil in crude oil in you

17:52

refine it into jet fuel or gasoline for

17:54

your car. With a data center, you put

17:58

electricity in and on the other end

18:01

instead of gasoline or jet fuel out

18:02

comes photons or tokens or intelligence,

18:04

whatever you want to call it, but it's

18:05

the same thing. Big capital inensive

18:08

asset, $50 billion per gawatt and power

18:12

just like electricity, just like oil is

18:14

the input to that refinery. So, here's

18:18

Jensen

18:19

and uh he was just recently quoted that

18:23

we need a thousand times more power than

18:27

we currently have. Now, if that's

18:30

remotely true, we need every single

18:33

source of power that you can imagine. We

18:35

need hundreds of gigawatts of nuclear,

18:37

we need solar, we need orbital, we need

18:40

it all, if this is even remotely true.

18:44

But the challenge as we spoke about

18:46

before is the supply chain, right? All

18:48

of these, you know, a data center

18:49

competes for the same supply chain of

18:50

the critical minerals that space

18:52

launches and orbital data centers do.

18:54

Power plants need all the same nickel

18:57

super alloys that it takes to launch

18:59

rockets and the silver that goes into

19:01

these photovalttaic cells. And so and so

19:04

there's going to be shortages of

19:06

everything and delays everywhere. And my

19:09

point here is we are just going to need

19:13

every solution that we can throw at this

19:15

for the foreseeable future.

19:18

So here's a little region in the US

19:20

called the PJM, Pennsylvania, Jersey,

19:22

Maryland. Uh this is a forecast from the

19:24

grid operator where they say that over

19:27

the next 10 years we're going to need

19:29

106 gawatts of new power in the PJM in

19:32

just one little area of the US. Now in

19:35

10 years in geological time that's like

19:37

tomorrow morning right we're all so used

19:39

to internet time you press a button and

19:40

you get your food delivered to you or

19:42

your car picks you up in two seconds you

19:44

know building infrastructure happens in

19:45

geological time 10 years to build out

19:47

106 gawatt is literally a nancond from

19:51

now and you know you see that thermal

19:54

coal retirements we ain't retiring those

19:56

coal plants because there's no world

19:58

where we're going to be building 100

19:59

gawatt in 10 years that's the size of

20:02

what Japan consumes today for one little

20:04

part of the US. And you know what I'll

20:07

say is those that understand the supply

20:10

chain and what goes into building all

20:12

this, everybody's in panic mode because

20:16

we know that we don't have the raw

20:19

materials to meet this level of demand

20:22

that's coming our way. So that's going

20:24

to keep existing capacity and power

20:26

prices very tight. Now the data center

20:29

and the hyperscalers are in a panic.

20:32

They're trying everything they can to

20:34

source as much power as they can under

20:36

long-term PPAs power purchase price

20:39

agreements at fixed prices for 20 years.

20:42

There's a famous example, you know, I

20:43

thought Microsoft was a green company,

20:46

but they went and convinced

20:48

Constellation Energy, which is a company

20:50

that owns the 3M island nuclear reactor,

20:52

you know, the one that melted down and

20:54

created, you know, the nuclear meltdown

20:55

that gave nuclear a bad name for 30

20:57

years. It was Microsoft that told them

21:00

they needed to start it up. And in order

21:02

to incentivize to stimulate their hand

21:04

to wallet reflex to start this thing up,

21:06

they said, "Power prices stay $50 a

21:09

megawatt hour. We'll pay you a hundred a

21:12

year for 20 years minimum price for you

21:15

guys to start this up." And so here we

21:19

have it. Uh 3M Island brought to you by

21:21

Microsoft Azure. So, you know, it's

21:25

getting harder to do these deals because

21:26

the regulators are saying, "Wait a

21:28

minute. If you're taking all this power

21:30

off the grid for your data center, how

21:32

are we going to heat the homes of our

21:34

customers?" And so, uh, you know, it

21:37

we're getting ourselves into the moment

21:40

of what I call crunch time. So, just to

21:43

finish up, uh, here are the numbers on

21:45

Talon. Um, the stock today is sort of in

21:48

the high 300s. If they just do

21:50

absolutely nothing, just absolutely

21:53

nothing, just sit there and run the

21:55

business, let their Amazon data center

21:58

contract roll up, these guys will be

22:01

generating $50 a share of free cash flow

22:04

per year. Again, the stock is in the

22:06

high 300. So, it's about seven times

22:07

free cash flow. Good infrastructure

22:09

assets in the US, traded about 15 times.

22:12

So, that's pretty good. You get a double

22:13

for basically management just sitting

22:15

around and doing nothing. But if they

22:18

continue to figure out ways to sign

22:20

contracts with data centers at premium

22:22

prices or if power prices go up. I mean

22:25

the amazing thing right now is in the

22:26

PJM where these guys operate, the power

22:29

price is still too low to stimulate new

22:31

capacity. The math still doesn't work,

22:33

which is really mindboggling. So if

22:35

power prices go up a bit, they do more

22:37

deals, you get to $70 a share of

22:40

recurring annual free cash flow, put a

22:42

15 multiple on that, that's,50.

22:45

But then if they get into building power

22:47

plants, right? And right now the

22:49

regulator is telling these companies to

22:50

go sit in a room, power producer, data

22:53

center, come in a room, make a deal so

22:56

that you build power and get a good

22:58

return on it. And the data center gets

22:59

their power gets a good return on it.

23:01

And Talon is in a pole position to be

23:03

able to do this. If they just build like

23:05

4 gawatt of the 100 gawatts that we

23:07

need, you could get up to, you know,

23:09

over $100 a share of free cash flow. The

23:11

stocks in the high30s today. So, uh, go

23:14

and buy the shares. It's a good

23:15

speculation and, um, we can chat.

23:18

>> All right. Not financial advice. Gavin,

23:20

go.

23:21

>> Gav and go.

23:22

>> I just, just very curious like how do

23:23

you think about regulatory risks here?

23:25

Nobody likes their electricity prices

23:27

going up. AI is an increasingly

23:30

political issue just like how do you

23:33

think about that risk?

23:35

>> We need AI and we need to figure this

23:36

out. And so there's different ways to

23:38

skin a cat here, right? My personal view

23:41

is during peak hours, right? If you go

23:44

drive down a highway at 4 in the

23:46

morning, you know, you would sit there

23:48

and say, "Why do we have all this

23:49

highway capacity? This is crazy." But

23:51

then you go on that same highway at rush

23:52

hour, you're like, "Oh, we don't have

23:54

enough highway capacity. There's not

23:55

enough lanes." Power is the same thing.

23:57

There's only a few hours a day where you

24:00

really stress the system. And so I think

24:02

the working solution to get around this

24:04

regulatory issue is you do the PPAs with

24:08

the data centers. You force the data

24:09

centers to throw a ton of battery behind

24:11

it and some peakers just to get through

24:13

that really intense period. And then uh

24:17

that's a good band-aid solution until we

24:19

build more power. So there's ways to do

24:21

this. Human ingenuity is going to win

24:22

here. We're going to get our data

24:24

centers and consumer power bills are

24:25

going to be, I think, relatively under

24:27

control. They're going to go up, but

24:28

they're going to be under control. Okay,

24:29

Dan, I have three questions from the

24:31

audience. Really good ones. Number one,

24:33

does your thesis actually need behind

24:35

the meter collocation to clear or is it

24:38

just a bet that clean firm base load is

24:41

scarce enough that it doesn't matter

24:43

whether power flows in front of or

24:45

behind the meter? It's the latter. And

24:46

that's why I gave three scenarios,

24:48

right? The $50 a share of earnings per

24:51

share. Again, a high $300 stock, right?

24:54

$50 a share of earnings. Nothing has to

24:56

happen. You just sit, right? And you

24:58

double your money. Now, if you get more

25:00

behind the meter or even front of the

25:01

meter, that's how you get up to that $70

25:04

a share of earnings from 50. And then if

25:06

you get up to the 70, but start building

25:08

new capacity, then you get to the $100

25:10

plus.

25:11

>> Okay. Question two from Brad. How do you

25:13

think about competition for power from

25:16

things like fuel cells, gas turbines,

25:18

aerodyit turbines, orbital compute, and

25:21

other sort of IPs, independent power

25:23

producers.

25:24

>> We need all of it. We need all of it. We

25:26

we you know fuel cells and you know the

25:29

Caterpillar solar turbines these are

25:32

fantastic bridge solutions but the cost

25:34

to run these things the LCOE is like

25:36

through the roof but you you know look

25:37

to build a $50 billion data center you

25:39

don't want it to sit idle for 3 years

25:41

waiting for your base load CCGT so you

25:43

do whatever it takes you don't give a

25:44

crap what you pay for that bridge

25:46

solution and so we're finding ways

25:48

through fuel cells through uh you know

25:50

Caterpillar solar turbines hopefully

25:52

through orbital data centers where we

25:54

can alleviate this because I want AI to

25:57

happen in a really big way and we're

25:58

going to need all the above.

26:00

>> Okay, question three. By the way, great

26:02

questions guys. Thank you for these.

26:04

What is the right terminal multiple for

26:06

Talon if the business mix shifts from

26:08

merchant IP to contracted

26:11

infrastructure?

26:12

>> Fabulous question

26:13

>> and and and the addendum here and what

26:15

percentage of EBIDA

26:17

needs to be contracted before the market

26:19

should rerate it? So, that's a great

26:21

question and and I only had six minutes

26:23

to do this and I think I blew through my

26:24

time so I couldn't get into this kind of

26:25

detail, but it's something I would have

26:27

really wanted to get into. So, whoever

26:28

asked that, thank you. Uh, I just use

26:30

the 15 multiple because it's sort of a

26:32

blended multiple between the contracted

26:34

stuff, which will get a big premium

26:36

multiple because, you know, it's a bond

26:38

like cash flow stream and bond like cash

26:40

flow streams trade at a small spread to

26:42

treasuries and so treasuries if they're

26:43

at 5% should trade at 20 times plus some

26:46

growth or whatever, plus or minus. the

26:48

uncontracted stuff, the merchant stuff

26:50

that has spot market exposure is more

26:51

volatile, less visible, that should

26:54

trade at a lower multiple. We can get

26:56

into the minutia, but just suffice to

26:58

say, the more contracts, the higher the

27:01

multiple, the less the lower the

27:02

multiple. Use 15 times as a good rule of

27:04

thumb, and you'll probably get to the

27:06

right answer, which is what I used.

27:07

>> That last question from Daniel Sherer.

27:09

Thank you for that,

27:10

>> Dan. Thank you. That was great.

27:12

>> Great. Thanks.

27:18

My name is Oleg Nelman. I'm the founder

27:20

and managing director of Eco1 Capital, a

27:22

San Francisco based valueoriented

27:25

biotech fund uh that I started about 13

27:28

years ago. Thanks a lot to the besties

27:30

for having me here. I'm a huge fan of

27:33

the pod like I'm sure all of us are and

27:35

I know how challenged Science Corner can

27:37

get. So, I wrote this in a way that even

27:40

David Saxs would appreciate and pay

27:42

attention to if if he were here.

27:45

>> Well, paradoxically, he's taking a nap,

27:47

which is what he normally does during

27:48

science corners.

27:49

>> Exactly.

27:51

>> Generally speaking, investing in biotech

27:53

companies is a horrible idea sandwiched

27:56

somewhere between movies, wineries, and

27:59

spaxs. In fact, our sector often feels a

28:03

lot more like a casino than an actual

28:05

financial market. And most of the

28:07

tourists who are investing are playing

28:08

the slots.

28:12

Of course, at Eco1, we consider

28:14

ourselves poker players in a sector

28:16

where virtually everyone else is a

28:17

momentum investor betting on science. We

28:20

focus on margin of safety. We're one of

28:22

the few funds not managed by PhDs or

28:24

MDs, and that's by design because we

28:27

don't want to fall in love with the

28:28

science. We fall in love with the

28:30

riskreward. And like the slide says, we

28:32

want to monetize other kids science

28:34

projects.

28:36

This is my 25th year investing in

28:38

biotech. I started my career with an

28:40

11-year stint at another fund and

28:42

launched Eco R1 in 2013, humble

28:45

beginnings with 13 million. Since

28:47

inception, we've 10xed to our investors

28:49

and annualized at 20%. And today we have

28:51

about two and a half billion under

28:53

management.

28:55

We're lucky to have long-term partners,

28:57

many of whom are biotech entrepreneurs

28:58

themselves, and have been with us since

29:00

day one. And we recently reopened for

29:03

the first time in four years.

29:08

Today I'm going to tell you about a

29:10

company that's on the front lines of the

29:11

war on cancer. Military terminology has

29:14

been used when descri describing

29:16

treatments for the disease since the

29:17

early 70s when President Nixon signed

29:19

the National Cancer Act.

29:23

The warfare analogy is actually perfect.

29:28

The warfare actually is actually perfect

29:29

for cancer because both domains are

29:31

trying to accomplish the exact same

29:32

thing. find the enemy, figure out the

29:35

best weapon to kill them, and have

29:37

minimal unwanted casualties along the

29:39

way.

29:42

First, a quick history of how this war

29:44

has evolved.

29:47

Early surgical cancer treatment and

29:48

radiation was akin to a medieval siege.

29:51

Level the entire castle, burn the

29:53

surrounding village, and hope the enemy

29:55

was left somewhere in the rubble.

29:59

Chemo actually evolved from an

30:00

accidental observation during World War

30:02

I that mustard gas killed rapidly

30:05

dividing tissue. Tumor cells divide

30:07

fast, so doctors would flood a patient's

30:09

body with chemo and hoped it killed the

30:11

enemy faster than it killed allies.

30:13

Unfortunately, hair, skin, gut, and

30:16

marrow cells also divide quickly, and

30:18

the poison doesn't discriminate.

30:20

First generation targeted therapies were

30:22

next, like a GPS guided munition.

30:25

Instead of carpet bombing every dividing

30:27

cell, you identify the enemy's command

30:29

and control center and destroy it. The

30:32

problem, like with any weapon, is that

30:33

the enemy adapts and hides. And in

30:36

cancer, these are called resistant

30:37

mutations.

30:42

Imunotherapy was first introduced to

30:44

patients a decade ago. With IIO, you

30:46

don't send in your own troops. You

30:48

recruit local allies, also known as T-

30:50

cells, and let them do the fighting for

30:52

you. Spectacular when it works, but

30:54

highly dependent on the terrain or the

30:56

tumor micro environment. This brings me

30:58

to the reason we're here today.

31:00

Modern-day radio pharmaceuticals. Like a

31:02

swarm of micro drones small enough to

31:04

navigate the bloodstream and find their

31:06

target by molecular recognition, then

31:08

detonate a precisely sized warhead with

31:10

a blast radius of 100 microns or the

31:13

diameter of a single cell. An autonomous

31:15

assassination with the force of a bunker

31:17

buster and minimum collateral damage.

31:20

The company I'm going to tell you about

31:22

today is Actis Oncology. The ticker is

31:24

AKTS. The company has a billion dollar

31:27

market cap, a $500 million enterprise

31:30

value, and a stockpile of cash, which

31:32

should last them over 3 years. Long past

31:35

critical milestones that are coming next

31:37

year. Actis was started five years ago,

31:40

but recently went public with a $300

31:42

million IPO that was 18 times

31:43

oversubscribed and backstopped with a

31:46

hund00 million order by Eli Liy, the

31:48

folks who bring you all the weight loss

31:50

drugs. The company has designed a

31:52

platform that can carry any radioactive

31:54

payload, is complex enough to go after a

31:56

variety of targets, and small enough to

31:58

clear your body with minimal side

31:59

effects. The beautiful thing about this

32:01

approach is that physicians can verify

32:03

target engagement in early clinical

32:05

trials with imaging. This significantly

32:08

derisks clinical development because you

32:10

know the drug is getting to the tumor.

32:12

Another de-risking strategy for their

32:14

first few programs Actis chose known

32:16

valid targets like nectin 4 and B7H3.

32:20

Nectin 4 is critical in bladder cancer

32:22

and the company's second program

32:24

targeting B7H3 is even more ambitious

32:27

expressed on every major solid tumor

32:29

including the big three prostate,

32:31

colurectyl and lung. Actis started

32:34

clinical trials last year

32:37

and is publicly guided to initial

32:39

clinical data in both of these lead

32:41

programs in 2027 with Nectton 4 coming

32:44

as early as Q1. So you won't have to

32:46

wait long. If either program shows a

32:48

signal, the company is likely to get

32:50

value not only for those programs but

32:52

the entire mini protein platform. This

32:55

is the holy grail in biotech, getting

32:58

value simply for the promise of what

33:00

might come.

33:04

What's even more compelling is there's

33:06

an amazing amount of interest in

33:08

radiotherapies from pharma. The big ones

33:10

including Bristol, Novartis, Bayer, and

33:13

Lily who backs stop the Actis IPO have

33:15

been building radiotherapy capabilities

33:17

and they're hungry for assets to add to

33:19

their pipelines. There's been 15 billion

33:22

in M&A and dealmaking in radiotherapy in

33:23

the last few years and we're very much

33:25

in the early innings. The neatest thing

33:28

about this modality is that it's very

33:29

hard to replicate. Generics generally

33:31

don't traffic in radioarma and because

33:34

the class involves radioisotopes it's

33:36

off limits to China. So unlike most of

33:38

biotech there's a real moat

33:42

and now the obligatory safety warning.

33:44

Axis is not for everyone. You should

33:45

consult your biotech analyst before

33:47

purchasing access. Initiating a position

33:48

may cause increased anxiety reduced

33:49

sleep through the night. Serious

33:50

sometimes drops in stock rates occur in

33:52

biotech. Immediately after investing may

33:53

experience sudden volatility due to lang

33:55

competitors. If stock declines are

33:56

experienced no fun reason. Call your

33:57

broker immediately to increase your

33:58

position. Remember serious safety

33:59

concerns have risen in other companies

34:00

local development programs. While no

34:01

safety concerns occur with any access

34:03

program date, they may in the future.

34:04

The use of many proteins delivered for

34:05

sales has not been proven. Access is no

34:07

market products and thus no referring

34:08

revenue solution for equity offerings

34:10

may occur. In the event of a secondary

34:11

offering, immediately schedule a call

34:12

with access management team to discuss

34:13

placing an order.

34:22

It's notoriously challenging to value

34:24

biotech companies because when you risk

34:26

adjust and discount back, you pretty

34:28

quickly get to zero. For earlier stage

34:31

opportunities like this, we like to

34:32

triangulate. We think Actis could be

34:34

worth 10 billion or $200 per share if

34:36

even one of their programs makes it to

34:38

market. And in this case, you have a lot

34:40

of outs.

34:41

>> I'm not familiar with why radioisotopes

34:43

are off limits to China. So in this

34:47

particular case um Actis' radioisotope

34:51

payload is actinium and actinium is

34:54

manufactured from radium 233 which was

34:58

used in our own nuclear programs in the

35:01

US in the in the 50s and 60s. So it's a

35:03

waste product from there. So actinum is

35:06

not even available in other countries

35:08

like China because they had a completely

35:09

different uh their own program was

35:11

completely different with enriched

35:13

uranium and plutonium. But the but the

35:14

the risk for a lot of biotech and China

35:17

replication came about that Amgen Sophi

35:20

Supreme Court case, didn't it? Where

35:22

they could you could make a small

35:23

because it basically said all patents

35:25

are composition of matter patents. So

35:27

you could change one amino acid get

35:29

around the patent and China's basically

35:31

done that with a lot of biologics that

35:33

are patented in the US and Europe. They

35:35

just rip them off and then you attach

35:37

the radio emmitting

35:38

>> uh radioisotope to the molecule and you

35:41

can kind of chase it. That's kind of why

35:42

a lot of biotech's been depressed. Is

35:44

that not true?

35:45

>> Yeah. So with with with radioisotopes

35:47

again because you have to you have to

35:48

have a a manufacturing supply that you

35:51

have to source locally in the US. Um

35:56

we haven't seen any competition coming

35:57

from China at all.

35:58

>> And if if they have a successful readout

36:00

though, would it not be like the case

36:04

that someone in China would say, "Hey,

36:05

let's go get some of the necessary

36:07

radioisotopes." And

36:09

>> they're they're I'm sure they can do it

36:11

for the Chinese market, but in terms of

36:13

then transfer transferring that over

36:15

here, we we haven't we haven't seen it

36:17

or kind of any wind of it at all.

36:19

>> And so then my last question, I'm sorry

36:20

for monopolizing. Why do you think the

36:21

markets discounted the value so much

36:23

since the IPO?

36:24

>> Oh gosh. Given the return in biotech

36:26

>> valuation, it's pretty classic biotech.

36:28

So it's traded flat since the IPO. uh

36:31

biotech investors are so insanely

36:32

short-term oriented that even though

36:34

we're now call it eight or nine months

36:37

from data that's still way too long and

36:39

so our expectation is the folks will

36:41

start accumulating this in the second

36:42

half in anticipation of the data coming

36:44

in the first quarter

36:46

>> Gavin you had a question

36:47

>> yeah sure so I in in in the distant past

36:51

I ran a biioharmaceutical fund uh and

36:54

you know it's a very hard job

36:55

congratulations on those numbers but I

36:58

ran that fund right after the human g

36:59

genome had been sequenced and there was

37:01

an expectation that the sequencing of

37:03

the genome was going to lead to this

37:05

explosion in therapies personalized

37:07

medicines etc etc and I don't think

37:10

broadly speaking we've made as much

37:12

progress over the last 25 years as maybe

37:15

people thought in the early 2000s and my

37:18

hypothesis is that the genome is too big

37:21

of a problem space for the human mind or

37:24

software written by humans and AI is

37:27

going to unlock a lot of kind of

37:29

revolution utionary therapies. So my

37:31

question to you, I will just admit it's

37:32

a selfish question. It is not about your

37:34

stock pitch, which is great. It's what

37:36

do you think the odds are that in the

37:39

lifetimes of everyone in this room, the

37:42

average human lifespan in a developed

37:44

country extends well past 100 to 125,

37:48

150. I would take the over on that uh in

37:53

no small part because we already have

37:54

one of the best longevity drugs out

37:56

there and folks don't even realize it in

37:58

the glip ones and the obesity drugs. So

38:00

one of the only things that's ever been

38:01

shown in act with actual data to extend

38:03

life is caloric restriction and that's

38:05

literally what all the obesity drugs do.

38:07

So I'm sure half the people in this room

38:08

are on one of them. Uh and that's just

38:10

the beginning because it's trained

38:12

people that you can inject yourself with

38:15

something and have healthy living

38:16

through pharmaceuticals. So I I think

38:18

that's only going to continue.

38:19

>> Oh, I got two questions from the

38:20

audience. First one, as the launch costs

38:22

per kilogram continue to fall, is there

38:25

a credible pathway to use space and

38:27

microgravity as a therapeutic variable

38:30

given that cancer cells appear to behave

38:32

differently in lowgravity environments?

38:35

>> That is a great question that's probably

38:36

not applicable to this.

38:38

>> Okay. And then the second question, what

38:41

would be a technological breakthrough

38:43

that could disrupt precision

38:45

radiotherapy as a result of AI at scale

38:48

to drug development and precancerous

38:50

screen?

38:50

>> Yeah, another awesome question. There's

38:52

a a small skunks work project within

38:55

Actis AI project. So with all these

38:58

biotech companies, they have their

38:59

little proprietary data sets that they

39:00

hope to leverage with various insights.

39:03

So a company like this with their many

39:04

proteins and everything else they're

39:05

trying to accomplish, they have their

39:07

own little tiny group of PhD data

39:10

scientist nerds who are seeing if they

39:12

can leverage that in a pretty decent

39:13

way. Is it so it's been really hard to

39:17

get CARTT in solid tumors? Um is it the

39:21

case that these kind of personalized

39:24

uh uh peptide based imunotherap uh

39:26

therapies are showing some efficacy in

39:28

some solid tumors and is that uh a space

39:31

that's going to expand and kind of

39:32

intersect here?

39:33

>> What's most promising that I think a lot

39:35

of folks have probably heard of is uh uh

39:38

a new drug for pancreatic cancer from a

39:40

company called Revmed was just another

39:41

targeted therapy. So for now there's not

39:45

a huge amount of progress from from

39:46

peptides. And have you looked at Droins

39:48

before? These kind of right-handed

39:50

proteins that seem to be able to

39:51

penetrate solid tumors.

39:53

>> Well, so one of the one of the neat

39:54

things about these mini proteins is

39:56

they're hopefully of the right size to

39:59

be able to deliver their payload inside

40:00

of the tumors.

40:01

>> Incredible. Oleg, thank you.

40:03

>> Thank you.

40:09

>> By the way, by the way, somebody just

40:11

yoloed into the stocks while Oleg was on

40:13

stage. It's up 6%. like the L. Don't do

40:16

that while we're all trying to buy as

40:18

well. Please come on.

40:19

>> Morning everyone. My name is Kyle

40:21

Samani. Uh thank you for being with us

40:22

at the all liquidity today. Thanks to

40:24

the besties for organizing. Today we're

40:26

going to be talking about a little known

40:27

asset, a little crypto asset called

40:29

Geonet. Uh which is building the rails

40:32

for AI. So let's jump in. Quick bit

40:35

about me. Uh I founded a firm called

40:36

Multicoin Capital about eight and a half

40:38

years ago. I stepped down a few months

40:39

ago. Um, and in my time there, I was

40:42

probably most well known for, uh,

40:43

leading all three rounds of investment

40:44

in Salana prior to Salana's network

40:47

launch, uh, in 2020. Um, I've been deep

40:50

in the crypto space for a very long

40:51

time. Uh, and I thought this would be a

40:53

very natural forum to talk about a very

40:55

interesting investment at the

40:56

intersection of crypto and AI. Uh, also

40:59

big shout out to David Sax.

41:00

Unfortunately, he's not here, but, uh,

41:02

David did seed multicoin uh, back in the

41:04

day. So, thank you, David, for believing

41:05

in me very early. All right, let's get

41:07

into geoet. So the way to understand

41:10

Geonet first is to look at GPS um

41:13

probably everyone in this room has been

41:15

in the situation on the left where

41:17

you're using your phone and your phone

41:19

is in the wrong spot facing the wrong

41:21

way. Right here you can see this guy

41:23

looks like he's facing a wall according

41:24

to his phone. Um, Geonet it

41:27

fundamentally is a new is it uses a

41:30

technology called RTK or real-time

41:32

kinematics where you can localize your

41:34

location down to about 2 centimeters for

41:36

context. GPS roughly the the precision

41:38

is about 2 m. So you're getting about

41:40

100x accuracy for very precise

41:43

geoloccation. Uh, as you can imagine any

41:45

form of kind of robotics can make use of

41:48

RTK drones being the very obvious

41:50

example. I'll touch on a few more just

41:52

in a couple minutes here.

41:55

Um, today Geonet is the world's largest

41:57

RTK network in the world and it's also

41:59

the fastest growing. Um, the three

42:01

companies you see on the left here,

42:02

Trimble, Hexagon, and Topcon, have all

42:04

been building RTK networks in some form

42:06

or fashion for call it 20 to 30 years.

42:09

Um, all of them combined have roughly

42:10

12,000 base stations deployed around the

42:13

world. GeoNet was founded in 2021. Uh,

42:16

began building out the network in 2022.

42:18

Uh, and today they are roughly twice the

42:19

size of the next three guys combined. Uh

42:22

today's geoet is live in 150 countries

42:24

around the world, more than 11,000

42:26

cities and covers roughly 80% of the

42:28

global population excluding some

42:30

sanctioned countries. Um so this thing

42:32

is really growing quickly. Uh you might

42:34

say, how did these guys build this

42:35

network so fast? Uh and the key is

42:36

really this decentralized crypto model.

42:38

Um so here we're looking at literally a

42:40

photo of a geoet base station on the

42:42

roof of someone's house. The the global

42:45

geoet network, those 22,000 nodes are

42:47

not being built and deployed by some one

42:49

that looks like AT&T or Verizon. Those

42:51

base stations are being deployed by any

42:53

random guy or hobbyist or professional

42:56

or small business owner who wants to

42:57

make some extra money. You can go on the

42:59

Geonodes website today. You can buy one

43:01

of these base stations. They're a few

43:02

hundred bucks. You put it on your roof

43:04

of your house or your small business. It

43:06

broadcasts radio waves. You make money.

43:08

Uh you actually get paid in geode

43:10

tokens, which is the really cool part

43:12

about this incentive system to bootstrap

43:13

this thing to get it off the ground. So

43:15

the Geonet network started about 4 years

43:17

ago doing this. Today it's now the

43:19

largest fastest growing in the world by

43:20

a pretty wide margin. If you want a

43:22

sense of scale, uh here we're looking at

43:24

their coverage in United States.

43:25

Obviously, every single major metro is

43:27

covered, but even if you look at most of

43:28

the rural parts of the country, you're

43:30

covering actually the vast majority of

43:31

even the rural areas. Um let's talk

43:34

about some of the customers and use

43:35

cases for this. We'll start with

43:36

agriculture first. Um the USDA actually

43:39

launched a couple years ago a program to

43:41

encourage farmers and ranchers to use uh

43:43

precise a technologies including RTK

43:45

networks. Um today actually geo the USDA

43:48

is now actually subsidizing uh many

43:50

farmers and ranchers all over the

43:51

country uh to adopt high precision a

43:53

most of which is powered by geodet.

43:56

Um getting into some specific examples

43:57

of that here we're looking at what's

43:59

called a robotic mule. Um this is made

44:01

by a company called Burrow. Uh obviously

44:03

this is transporting some grapes. You

44:04

could put anything on this. Has pretty

44:06

obvious application for bas almost any

44:08

farm or ranch you can imagine. With the

44:10

advent in computer vision, CPUs,

44:12

batteries, all the other AI stuff, these

44:14

things are growing like hotcakes, all of

44:16

them are going to be powered by Geonet

44:17

or something like it. Um, here we're

44:20

looking at John Deere. They have a new

44:22

service uh that they rolled out recently

44:24

called Global Unmanned Spraying Systems

44:26

or Gus. Um, these things drive around.

44:28

They literally spray plants with

44:29

pesticides and other things of that like

44:31

that. I did actually confirm this

44:33

morning there are wineries here in Napa

44:34

that are actually using John Deere Gus

44:37

uh uh vehicles. That was pretty cool. So

44:39

if you have some wine tonight, maybe it

44:40

was powered by by Gus, which powered by

44:43

Geonet. Um, obviously autonomous

44:45

vehicles has a pretty obvious

44:47

application for this. Um, TomTom is one

44:49

of Geonet's customers. TomTom is a

44:51

supplier to basically every every AV

44:53

program in the world, uh, excluding

44:55

maybe a couple. And today, TomTom is

44:57

using Geonet's data to update their maps

44:59

to get them more accurate and precise as

45:01

they need to cover every square inch

45:02

basically around the planet.

45:05

Um, one of my favorite use cases are

45:07

kind of the next wave of consumer

45:09

robotics, which are getting a lot of

45:10

hype these days. I think the most

45:11

obvious one are robotic lawnmowers. I

45:13

don't think anyone loves to mow their

45:15

lawn. Um, robotic lawnmowers are now

45:17

actually rolling out at pretty good

45:18

scale. They're estimated they're going

45:20

to sell 1 million robotic lawnmowers

45:21

this year, made by companies like Yarbo,

45:23

Sunseeker, and others. Um, all of those

45:26

these guys are all powered by Geonet.

45:28

Um,

45:30

next up, let's get to drones. Um the

45:32

world's largest drone manufacturer DJI

45:33

is a Geonet customer. Uh it's not in all

45:36

of their models, but it is in a lot of

45:37

their models. Uh and so obviously DJI is

45:39

sending a ton of traffic now over

45:40

Geonet. Uh in the coming uh you know

45:43

months and years as DJI wounds down in

45:45

the US and you have new a wave of

45:47

American drone manufacturers pop up. I'm

45:49

going to venture to guess that most if

45:50

not all of them are going to end up on

45:52

the GeoNet network as well. Uh the

45:54

Geonet team is based in the US has deep

45:55

roots here. What I love about Geonet is

45:57

it's a very obvious network effect

45:59

networks effect network effects

46:01

business. Um this thing looks like a

46:03

natural telecom, right? You have base

46:04

stations kind of all over the world. You

46:06

got to cover the whole planet. Um

46:08

telecoms naturally form monopolies

46:10

historically. I think the same is likely

46:11

to be true here. Today, Geonet is the

46:13

world's largest and fastest growing

46:15

network with also the lowest cost

46:16

structure by a very wide margin because

46:18

of this decentralized nature where

46:20

people just put these things on top of

46:22

their house.

46:24

In terms of where the business at, the

46:25

business just crossed about $1 million

46:27

in annualized run rate a few days ago.

46:29

Uh, and it's growing more than 3x

46:30

year-over-year. I think it's going to

46:32

probably more than triple over the next

46:33

12 months. Um, what's really cool about

46:35

GeoNet is how capital efficient it is

46:37

and how they're actually returning

46:38

capital to token holders. So today, uh,

46:41

the Geonet network is taking of that 11

46:43

million in revenue roughly, uh, excuse

46:46

me, 80% of it is being used to make open

46:48

market purchases of Geo tokens. Uh, and

46:50

this is all visible on the Salana

46:52

blockchain. they have all the addresses

46:53

are published and stuff. So, it's all

46:54

verifiable in real time. Uh that means

46:57

$8.8 million right now per year is going

46:59

into buying, you know, Geonet tokens on

47:01

the open market. Uh what's amazing is

47:04

that last 20% is they're they're

47:05

covering all their R&D costs and scaling

47:07

out now their business development team.

47:09

With a business like this, of course,

47:10

like it's a pretty small network of

47:12

customers. The guys who work at John

47:13

Deere know the guys who work at DJI, who

47:15

know the guys who work at TomTom. And

47:16

so, this thing is now growing virally

47:18

amongst this kind of core community of

47:20

of customers. Um, and as you can imagine

47:23

with customers who sign up for a service

47:24

like this, they tend to ramp up their

47:26

usage of that service over time. So once

47:28

someone starts rolling out GeoNet in the

47:30

first year, they're usually spending

47:31

about $60,000 per year. After two years

47:33

though, they're usually spending about

47:34

$170,000 per year. So the average Geonet

47:37

customer is growing their their revenue

47:38

with GeoNet about 3x in that second

47:40

year. Um, obviously then we look at

47:42

their just their customers. They've

47:44

signed up in the last two years. You can

47:45

see they 5x their customer base last

47:47

year. Those are that net new customers.

47:49

So applying some pretty simple math

47:50

here, you can see they have a very clear

47:52

path to more than 3x this year as this

47:54

thing ramps up. Just to wrap things up

47:56

summary, um Jonet is the world's largest

47:58

RTK network, growing the fastest. It has

48:00

really obvious network effects and is is

48:02

likely to be a very natural monopoly

48:04

growing 3x year over year with a bunch

48:05

of flagship customers and brands that

48:07

you all know. Obviously, we have this

48:08

huge physical AI tailwind behind us now,

48:10

robotics and all the other amazing stuff

48:12

happening. Uh and they're returning

48:14

capital to shareholders. Uh the token

48:16

does trade on the Salana blockchain. Uh

48:18

if you want to buy, it trades 247. The

48:20

ticker is geode geo d. Um so if you want

48:23

to actually get some geo tokens, I

48:25

encourage you to sign up for a crypto

48:27

wallet, a salon wallet, and you can go

48:28

ahead and buy geode tokens from there.

48:31

And with that, I think we are ready for

48:33

some Q&A.

48:36

>> Awesome. Um what's the market cap?

48:39

>> Oh, sorry. It's trading about 150

48:40

million on a fully diluted basis. If you

48:42

were to go look at any of the crypto

48:44

price websites like coin.go require

48:45

market cap. They're going to show you

48:46

something like 60 or 70 million. That's

48:48

because not all of the tokens are

48:49

floating yet, but the fully diluted

48:51

number is about 1 million.

48:51

>> Is there a corporation behind it or is

48:54

this just like a project in the Cayman

48:56

Islands in Panama with a board that

48:59

nobody knows who's on it? Tell us about

49:02

governance.

49:03

>> Uh so the Geonet team is uh US-based

49:05

corporation. There four teams in San

49:07

Francisco. The CEO's name is Mike

49:08

Horton. Uh really, really good guy. He's

49:10

been building in this kind of IoT smart,

49:13

you know, device space for a while. the

49:15

relationship between the corporate

49:16

entity and the token and which one

49:19

should we own?

49:20

>> Uh you should own the token because I

49:22

own a lot of the token uh as as you

49:24

might imagine. I don't own any of the

49:25

equity. Um the relationship is geoet the

49:28

c you know the company is facing John

49:30

Deere DJI all these companies and they

49:33

have a contractual relationship with the

49:34

Geonet Foundation to use 80% of their

49:36

revenues to buy tokens off the open

49:38

market. And that's

49:39

>> that corporation raised venture capital

49:41

or anything? Uh yes uh my prior company

49:44

Multicoin actually led around in Geonet

49:46

previously.

49:47

>> Okay Kyle I have I have many questions

49:49

from the audience so bear with me.

49:50

Question one do you like Helium as much

49:53

which is Geonet for 5G signal.

49:56

>> Uh yes I actually led multicoins

49:58

investment in Helium six or seven years

49:59

ago uh and continue to be a very big

50:02

long-term believer. They actually had

50:03

big news go out this morning. Uh but

50:05

yeah I'm a big Helium fan.

50:06

>> Question two. There's a long list of

50:09

deepin projects that have failed because

50:11

people just don't value the token

50:13

rewards. Why is this any different?

50:15

>> I mean, they're returning capital to

50:16

shareholders. This thing is, you know,

50:18

returning $8.8 million to shareholders.

50:19

It's trading at $150 million valuation

50:22

and it's going to grow 3x this year.

50:24

It's an unbelievably cheap asset. It's

50:26

just people aren't paying attention

50:27

because it's crypto bare market right

50:28

now.

50:29

>> Okay. Uh from Sam,

50:30

>> sorry, let it's a securitized interest

50:33

in the cash flows from the customers

50:35

>> effectively. Yes. It is a revenue. It is

50:38

a

50:38

>> It's a revenue share token.

50:39

>> Correct. 80%.

50:41

>> Okay. So, the more John Deere pays

50:43

Geodet the company, the more you

50:46

basically deprecate the tokens, which

50:48

should cause the token,

50:50

>> they're buying tokens to open the

50:51

market. Correct.

50:52

>> Yes.

50:52

>> Okay. From Sam, what acres value the

50:54

equity or the token? Similar to

50:56

question, how does the value acrruel

50:58

mechanisms square or not with current

51:00

securities laws or what's contemplated

51:02

in the Clarity Act?

51:03

>> Uh, yeah. Um, so the one answer to your

51:05

question is the the tokens are the ones

51:07

acrewing value because they're taking

51:08

80% and buying. The other 20% is

51:10

obviously funding operations. They have

51:11

engineers, salespeople, all that stuff.

51:13

Um, so that's all there and being

51:15

funded. In terms of securities laws, uh,

51:17

the Clarity Act, uh, passing is

51:19

certainly very good for Geonet. Uh, I'm

51:20

not a lawyer, so I'm not going to tell

51:22

you that, you know, it it passes the

51:23

bars set in the Clarity Act, but I can

51:25

tell you I'm an optimist and I've been

51:26

very involved in the Clarity Act, uh,

51:28

and I'm not too worried about it.

51:30

>> Okay. Can I can I ask about the business

51:32

just real quick? So John Deere, I know

51:34

this space somewhat well. I used to

51:36

manage a company called Precision

51:38

Planting in Agriculture and um there was

51:41

John Deere makes their own RTK systems.

51:43

So when you like run a a piece of

51:46

equipment that relies on RTK, you're

51:47

buying in the construction industry,

51:49

Topcon or Leica or Trimble or John Deere

51:52

and you install the RTK base stations

51:54

and you run your equipment. Why would

51:57

John Deere and others want to rely on

52:00

this system as a different like why is

52:02

it better than like the systems that

52:04

they're already using? It wasn't quite

52:06

clear to me.

52:07

>> I mean capex versus opex, right? Like

52:09

right these networks are all over the

52:10

world now. They're running at very low

52:12

cost. GeoNet is is probably a third to

52:14

half sorry a third to a quarter the

52:16

price um than buying up your own capex

52:19

and doing it. And it's just available

52:20

everywhere. So now it just reduces the

52:22

sales cycle time for John Deere when

52:24

they just say buy the tractor. It's

52:26

good.

52:26

>> There's another big push right now for

52:28

microats to be an alternative to GPS in

52:31

a way that they can actually provide

52:33

subcm resolution effectively replacing

52:36

both GPS and RTK using a a mesh network

52:40

from SpaceX launched or actually SpaceX.

52:43

I don't know if SpaceX has looked at

52:44

doing this, but um I know that there is

52:46

a very wellunded company that is trying

52:48

to put up microats to basically replace

52:52

GPS and RTK. Doesn't that ultimately

52:55

kind of wash out the need to have all

52:56

these earth-based base stations?

52:58

>> I there's no chance they can compete on

53:00

cost because just sending things to

53:02

space with satellites that's so I mean

53:03

these geoet uh base stations are a few

53:06

hundred bucks. Like you're just not

53:07

going to compete on cost with with

53:08

geoet.

53:10

>> Do you think that this is a viable

53:11

replacement at scale and saturation for

53:14

GPS itself?

53:15

>> No. GPS is definitely very different. Uh

53:18

and the SLA is different.

53:20

>> You've got to you've got to have

53:20

ubiquity for

53:21

>> Yeah. for GPS um for GPS alternative

53:25

which is why you have to have the

53:26

satellites everywhere. You got to have

53:27

enough but if you get enough satellites

53:29

you can actually get to RTK precision

53:31

and you don't need to have the big

53:32

expensive GPS.

53:33

>> You'd have a hybrid situation where you

53:35

have a bunch of GEO and LEO plus a bunch

53:37

of base stations all over the place.

53:40

That hybrid situation probably

53:41

>> you could actually the Leo the LEO alone

53:44

can replace all of the the geo stuff.

53:46

That's the goal. And then um if you get

53:48

enough of them which SpaceX unlocks.

53:51

Yeah.

53:51

>> And um Kyle, what what about like other

53:54

tokens when you think about other

53:57

compute tasks like work to be done for

53:59

example? There's a bunch of tokens that

54:01

have emerged in distributed training.

54:03

How did you hone in on this and exclude

54:05

the others?

54:06

>> I mean, not meaning prefer this over

54:08

that.

54:08

>> I mean, I met the GeoNet founder years

54:10

ago. He pitched us and I've gotten to

54:11

know him and followed it. The

54:12

distributed training stuff, there's a

54:14

whole bunch of people trying it. I I'm

54:16

pretty skeptical. I don't think any of

54:17

it's going to work. Um the distributed

54:19

inference stuff is is possible although

54:21

it has not worked as well as we would

54:22

have hoped. I did put some money behind

54:23

that a few years ago. It's it's working

54:25

but not not A+. Um one last thing

54:28

actually David on on your prior question

54:29

I want to highlight is also energy use.

54:31

Going to space just consumes way more

54:33

energy than going to a base station

54:35

that's you know on the ground. Um and so

54:38

yeah for a tractor maybe that doesn't

54:39

matter but for a drone or for any other

54:40

battery sensitive application ground is

54:43

always going to be uh the preferred

54:45

solution.

54:45

>> Super interesting. Well done. Thank you.

54:47

Thank you so much.

54:49

>> All right, guys.

54:51

>> Before we vote, Timoth, give your

54:53

feedback.

54:53

>> Here's what I like. I I I apply the Stan

54:56

Ducken Miller school of invest

54:58

investigate. I really believe in it.

54:59

>> Yes.

55:00

>> Um if you don't have any skin in the

55:01

game, you don't care. And this is the

55:03

kind of stuff that I love. I love

55:04

hearing ideas like this.

55:05

>> I love all four. My my difference is in

55:08

sizing. So, you know, there's there's

55:12

certain asymmetric alpha that each one

55:14

of these exhibits and then there's very

55:16

different downside risk for each of

55:18

them.

55:19

>> Uh, and then there's also liquidity

55:20

issues. So, for example, like I love

55:22

Kyle's idea. The problem is I I could

55:24

not get enough working for me where so

55:27

you I don't even think I could get a

55:28

million dollars in today. It would to

55:30

scale in it would move the market. Um,

55:33

so I would have to I'd have to probably

55:34

I'd be like 10 20 30,000 and then maybe

55:37

start to buy into it. talent. I think

55:39

they could absorb tens of millions and

55:41

people wouldn't bite an eyelash. Um

55:45

the biotech company the issue there is

55:47

that I think that there is as you said

55:49

Freberg this discontinuous

55:52

illi liquidity zero risk but then

55:54

there's the 10x upside. So there's just

55:56

like huge

55:58

>> Lily will bid for it

55:59

>> and then MGM I think is just so I think

56:00

MGM and Talon are the ones you could

56:02

have huge sizing in

56:03

>> and then the other ones I think you have

56:05

a piece because they're like lottery

56:06

tickets. I think your point on MGM.

56:09

>> Okay. Wait, hold on. Let me just review.

56:10

So, company number one

56:13

was MGM

56:14

>> and that was

56:15

>> Resorts. Okay.

56:17

>> Company number two,

56:19

>> Talon.

56:20

>> Talon Energy.

56:21

>> Company number three,

56:22

>> Actis

56:23

>> Therapeutics. Yeah.

56:24

>> And then

56:25

>> Geodet.

56:26

>> Geodet. Not company, but I guess token.

56:29

>> Yeah.

56:29

>> Company number four, Geodet.

56:31

>> And you're buying the token, not the

56:32

company. Do you think the um maybe for

56:36

you too, Gavin, like the

56:38

>> Gavin, you rank them.

56:39

>> Well, no, even before you rank, just

56:42

tell us what you think of the format and

56:44

then assess the companies. We'll do

56:46

ranking at the end. We're going to do 4

56:47

32. We're going to do 4 3 2 1 on stage,

56:50

but give me your general ideas about the

56:53

pitches, what you liked, what you did.

56:54

>> I thought the pitches were great. Um I

56:57

thought the format was amazing. I would

56:58

for sure expand it next year. There are

57:00

platforms that you guys could have a all

57:03

all-in basket or ETF that people could

57:07

trade in. So like maybe that's

57:08

something.

57:08

>> Will you do it next year?

57:10

>> Will I pitch next year?

57:11

>> Yeah.

57:12

>> Jake, I'll do anything. He's locked.

57:15

He's locked.

57:16

>> Actually, here's what I would ask Gavin

57:17

to put you on the spot. Next year I

57:19

would we I think we would all learn and

57:21

benefit if you would do

57:23

>> um silicon and memory super cycle.

57:28

>> Sure. Would you be willing to do that

57:29

for us?

57:29

>> I'll do it.

57:31

>> Sign me up.

57:32

>> Perfect. Great. Sign me up. Oh, thank

57:33

you. So, keep going.

57:34

>> Well, no. As far as the pitches, I do

57:36

think um I think it's important to

57:38

disagregate like what was a really great

57:41

entertaining pitch versus what I think

57:42

is is a really good riskreward. Um I

57:46

thought Oleg and Kyle did a great job

57:48

with the pitches, but I'm I'm not a

57:51

healthcare investor, nor am I a crypto

57:53

investor. I thoroughly enjoyed the

57:55

presentations. I actually thought GET

57:57

was very interesting. Um I'm happy to

57:59

learn from Oleg that I might lift well

58:01

into my 100s. That was good news for me

58:03

and everybody in the room. I enjoyed all

58:05

the um the military um terminology and

58:08

analogies.

58:09

>> Yeah, that was really great. Huh.

58:10

>> That was great.

58:11

>> Really great.

58:12

>> I do think um from a pure riskreward

58:15

perspective, I thought MGM was the best.

58:18

um your downside is really capped

58:19

because of the Barry Diller bid and then

58:21

you have uh Japan and Dubai as I think

58:24

very valuable future sources of value.

58:27

Uh and and I do think talent is also a

58:29

very compelling risk. I just think

58:32

everything in AI is going to need to

58:35

grapple with increasing regulatory risk

58:37

which we talked about last time um that

58:40

that I was on the pod with you guys and

58:42

I don't know how to dimensionalize that

58:45

and um you know I've been

58:48

>> like the big negative externality for

58:50

talent is nothing to do with talent.

58:52

>> Nothing to do with talent.

58:53

>> It's like something over the top from

58:54

the US government caps prices something

58:56

something.

58:57

>> Yeah. You have nationalizes the lab.

58:59

>> You have a change in administration. You

59:00

have a change in Congress. There's laws

59:02

that are passed that I think it

59:05

terrestrial computes the utility supply

59:08

demand. But I actually think outside of

59:10

that, Talon was super compelling. And

59:12

>> so you got MGM, you got Talent. Now the

59:14

other two.

59:15

>> I I I I thought they were both great

59:17

pitches. I can I tie them for third just

59:20

>> Well, no, don't even give the score.

59:21

just any feedback on those two ideas or

59:24

those are just a little bit lottery

59:26

ticket for you or

59:28

>> No, I thought Actis was was very

59:30

compelling. They're trying to trying to

59:32

do something different as Oleg said if

59:34

you ever get a biotech company that be

59:36

can become a platform and they have a

59:39

mechanism whether it's of drugging

59:42

whether it's targeting or if you have

59:45

something that is broadly applicable

59:47

that is when you can get these really

59:49

really big hundred billion dollar plus

59:51

outcomes in biotech which are rare so I

59:53

thought that part of um activis was

59:56

super compelling

59:57

>> and um

59:58

>> you don't play crypto

60:00

>> I don't play crypto, but I thought the

60:02

entire go Geonet discussion was

60:04

fascinating and I'm happy.

60:05

>> Is there anything that would get you off

60:06

the bench and make you jump into the

60:10

crypto game or it's just you're why are

60:12

you not playing the crypto game?

60:14

>> I feel about crypto exactly the way I do

60:17

about snowboarding. Okay. I'm I'm not a

60:21

very good athlete. I've spent a lifetime

60:24

learning how to ski and I'm okay. Um,

60:28

and just the idea of getting on a

60:29

snowboard, having, you know, thousands

60:31

of hours of ski instruction,

60:33

>> you don't want the pain for the game.

60:35

>> Yes. And I have 25 years of lessons,

60:39

learnings, pain, scars from from

60:43

investing in equities and public

60:44

securities and just crypto. It's a

60:47

little bit like snowboarding for me, but

60:48

like, you know, everybody who wants to

60:51

snowboard, that's great.

60:52

>> Everybody wants to do crypto, that's

60:54

great. Just please don't go sideways

60:55

down the mountain and ruin the powder.

60:57

David,

60:58

>> I think your assessment of MGM Talon,

61:01

>> I think I think MGM uh I look at the

61:03

kind of return upside, the downside and

61:07

the timeline. MGM's like probably a 3x.

61:10

I think it's also missing this point

61:12

that I've heard a lot about on you can

61:14

actually upgrade the monetization on

61:15

these Vegas properties. We were talking

61:16

to a friend of ours in Vegas. They're

61:19

they're making a million bucks a day in

61:20

incremental ibita every day that they

61:23

have a show at the sphere um at the uh

61:26

at the Venetian hotel which is an

61:28

unbelievable statistic which tells you

61:30

that when you have the entertainment

61:31

draw the gambling revenue just flies

61:34

>> flies

61:35

>> and so Barry Diller I have heard

61:37

separately has been spending a lot of

61:39

time on trying to reinvent the

61:40

entertainment at these properties and

61:42

thinks he has an idea on how to do it

61:43

which will cause the gambling revenue to

61:45

fly. So, I think even if you discount

61:47

the upside on these new locations,

61:49

there's probably a lot of work to be

61:50

done. And I do like the floor on the bid

61:53

and then you got call it 3x in 2 years

61:56

even if this bid goes nowhere and they

61:58

keep the thing running and they're like

61:59

we're going to reject the bid and keep

62:01

running independently. Talon is maybe 3x

62:05

upside, 5x upside, but it's eight years

62:07

out. And I think one of the other

62:08

challenges with Talon that I would kind

62:10

of use as a valuation metric is I think

62:12

it's more interest rate sensitive than

62:14

MGM is um because the power purchase

62:17

agreements really are where a lot of the

62:18

revenue comes from. So you're going to

62:20

get a discount rate that's a multip

62:21

that's a function of where interest

62:23

rates are sitting. So I think if

62:25

interest rates shoot up which some might

62:27

argue there's there's risk there you

62:29

actually get margin compression from

62:31

that 15x outlook that he has for Talon.

62:34

So that would be my kind of downside

62:35

scenario on Talon. um in the in the time

62:38

ahead and Actis I do worry because I'm

62:40

an investor in a company that's got a D

62:41

protein conjugate that shows really

62:44

strong efficacy in getting solid tumors.

62:46

I think that there are new modalities

62:47

for therapeutics for solid tumors that

62:49

are being discussed that that may kind

62:51

of put this at risk. I think the China

62:53

risk is legit because I've seen it

62:54

across the board in biotech. Everything

62:56

gets ripped off and people go to China,

62:58

but they could have a hit and Lily could

63:00

bid on it in 6 months if they actually

63:01

get a good readout. So there's certainly

63:03

upside, but the downside's probably 50

63:05

75% if they get a bad readout or China

63:08

or some new modality comes out. So I

63:11

think the ranking is probably MGM Talon

63:12

Actis and then the for me the geodet

63:15

piece uh I I just think the space thing

63:17

is is likely the path. It's going to

63:19

replace all RTK and all GPS in the next

63:22

decade. Um it's an inevitable piggyback

63:24

on systems that are already going up.

63:26

>> All right, great. So I think I've got

63:27

everybody. Uh for me, I put them into

63:29

two buckets. Um I think uh AKTS and GOD

63:35

those are like lottery tickets could be

63:37

crazy returns but you know there's a

63:38

there's a big probability of a zero

63:40

there if they don't you know uh actually

63:44

work and then MGM and Talon obviously

63:46

got the downside protection and those

63:49

feel like um people will always gamble

63:52

and leave the lights on. So I kind of

63:54

like both of those. I put 200k into each

63:56

in real time.

63:57

>> Gamble and leave the lights. Uh, so

63:59

that's just like my I don't have a

64:00

public vehicle.

64:00

>> Did you actually buy?

64:01

>> I'm just day trading.

64:02

>> I I bought half of his action

64:06

and I don't have a Robin Hood account. I

64:08

have to call my office. So I was like

64:10

just I'll take

64:10

>> you lose, buddy.

64:11

>> I'll take half your I didn't see you

64:14

with your thumbs.

64:14

>> I'm up 7% across the portfolio. So I

64:17

don't think I can include you here.

64:18

>> Steps to buy.

64:19

>> I did. I I waited the three in the order

64:21

I said on my So anyway, I I'll just give

64:24

mine really quick. I I will go MGM,

64:26

Talon, uh, G, AKTS.

64:31

>> Gavin's only gonna make trillion.

64:32

>> Let's bring the Let's bring our four

64:34

pictures out.

64:35

>> We have $1,000.

64:36

Please get the

64:38

>> two men hugging statue. Wait, wait, no.

64:40

Before you announce it, I need the

64:43

extremely alpha male heterosexual

64:45

trophy. The all-in heterosexual alpha

64:49

male trophy, please. And I need our four

64:51

pitchers to come on stage. It makes it

64:54

more exciting. It's like makes it

64:55

uncomfortable when like they show the

64:58

five people for best actor.

65:02

>> Yeah.

65:04

>> Yes.

65:09

>> You put those on the table.

65:11

>> But wait, where's my award doing? The

65:13

award. You guys have the award.

65:14

>> Please bring me the extremely

65:15

heterosexual alpha male award.

65:19

>> You'll see why when I show you the

65:20

award. Pass me this.

65:21

>> Over a little more.

65:22

>> All right.

65:23

>> Bring me that award. Let me show you how

65:25

we 3D modeled this.

65:26

>> No one wants to see this.

65:27

>> Look at this. This is two men

65:30

>> uncomfortably hugging. And the way we

65:32

did this, it's the best. Come here,

65:33

Freeberg. I'll show you. I'm not doing

65:34

it with you.

65:35

>> Come on, Freeberg.

65:36

>> You do it tomorrow.

65:36

>> Free. Okay, fine. He's extremely

65:38

comfortable.

65:39

>> That's David and I.

65:40

>> It's David and you. But let's show them

65:41

how we modeled this. We just did a long

65:43

>> This is uncomfortable. And we hold it

65:45

for five extra seconds.

65:47

>> At 2 minutes, you get the release of

65:48

oxytocin. There it is.

65:50

>> Okay. So, gentlemen, this is it. Do you

65:53

guys have the results? Go ahead.

65:54

Audience award.

65:55

>> Audience award.

65:57

>> So,

65:58

based on 150 votes from the audience,

66:02

uh, do I just go four to one?

66:03

>> Four to one.

66:04

>> Four to one is more exciting.

66:05

>> Okay. Fourth place, uh, with 5% of the

66:08

vote was Kyle Sani.

66:09

>> Okay. Well done on the board.

66:13

>> A very close

66:15

second place.

66:16

>> No, third. Third.

66:17

>> Third place with 21% of the vote. Oleg

66:21

rock

66:22

>> leg. Oh boy, we're closing in here,

66:23

guys. Very dramatic.

66:26

>> And with 50 50%

66:30

who's number two.

66:30

>> I'm going to go to you. No, you say

66:32

number one now.

66:33

>> Okay. Okay.

66:33

>> No. Okay. Well, sorry. Yeah, you're

66:35

right. With 24% of the vote

66:38

>> in second place,

66:42

>> Aaron Cowan for MGM. NUMBER ONE WITH 50%

66:45

of the vote. Dan Drafus.

66:47

>> Wow. Unbelievable. Give it up. Nicely

66:51

done. Now the bestie though.

66:52

>> Wait, hold on before we do the bestie.

66:54

How do you feel right now having won

66:56

this? Pass him the award. You guys look

66:58

so uncomfortable.

67:00

>> You guys are really It's very

67:03

>> But pass him his award for a second and

67:04

let him hold it.

67:05

>> Give it academy award.

67:07

>> Thank everybody how you got to this

67:09

place.

67:09

>> Say a few words. I got my award. I got

67:13

my tequila.

67:14

>> Thank you.

67:14

>> There you go. All right. Well done.

67:16

>> Okay. Now Okay.

67:18

>> That's the award. 4 3 2 1. It's uh

67:21

relatively similar here. Uh fourth place

67:24

was Kyle Simmani. Okay.

67:25

>> Third place was Oleg.

67:27

>> Second place Dan Drafus. First place

67:31

Aaron Cowen. Big upset. Flip the

67:33

audience vote.

67:34

>> There you go.

67:34

>> All right. So MGM wins.

67:36

>> All right.

67:37

>> Thanks guys.

67:37

>> This was amazing.

67:39

>> All right. Thank you all for

67:40

participating.

67:41

>> Thank you very much.

67:42

>> Thank you so much for coming and we'll

67:44

see you next

67:53

I'm going all in.

Interactive Summary

This video features a high-stakes investment pitch competition where various managers present their top stock and crypto ideas to a panel of expert judges, inspired by the Iris Foundation event. The presenters pitch ideas ranging from MGM Resorts (a casino and potential turnaround play) to Talon Energy (a power producer positioned to benefit from the AI-driven energy demand), Actis Oncology (a precision radiotherapy biotech company), and Geonet (a crypto project building a decentralized network for high-precision geolocation needed for AI and robotics). The panel evaluates these based on risk-reward, liquidity, and potential regulatory challenges, while also discussing the broader implications of AI and technological breakthroughs on the future of energy and healthcare.

Suggested questions

4 ready-made prompts