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Demis Is Out as DeepMind CEO, Revolut Founder Yacht Drama, AI’s Great Reverse Bank Run | Diet TBPN

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Demis Is Out as DeepMind CEO, Revolut Founder Yacht Drama, AI’s Great Reverse Bank Run | Diet TBPN

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873 segments

0:01

What just happened at Google DeepMind?

0:03

Crazy crazy morning. Uh shakeup, a

0:06

reorg, stepping down, stepping up,

0:08

stepping left, stepping right. There's a

0:10

lot of different terms. We'll break it

0:11

down. We'll explain the organization

0:13

before, now what it looks like going

0:15

forward, what this means, where this

0:17

goes. So this morning, Dennis Hassabis,

0:19

the legendary AI researcher, the founder

0:22

of Deep Mind,

0:24

>> a true scientist,

0:25

>> a true scientist, uh, the subject of

0:27

Sebastian Malib's book, The Infinity

0:29

Machine, the Infinite Machine. He

0:31

announced that he's stepping down as CEO

0:33

of Google DeepMind. He's also stepping

0:36

up into the role of Google DeepMind

0:39

chairman, and he will also be Alphabet's

0:41

chief scientist. Is it a promotion? Is

0:43

it a is a demotion? Is he quitting? Is

0:45

he getting fired? Who knows? But the

0:47

most important thing is that he's still

0:48

there at Alphabet. He has a different

0:51

role and that's what's important. What

0:52

is the nature of this new role? Uh

0:55

Google CEO Sundar Pachai also announced

0:58

that uh Google DeepMind chief scientist

1:00

Jeff Dean will be leaving the company

1:02

after a 27year run to start along with

1:06

Google senior fellow Sanjay Gwat a

1:09

public benefit corporation to accelerate

1:10

discoveries in machine learning science

1:12

and engineering. And if you're not

1:13

familiar with uh Jeff Dean, he is the

1:16

Chuck Norris of of uh computer

1:19

engineering and and software

1:20

engineering. Um there's a whole uh list

1:23

of jokes around Jeff Dean jokes.

1:25

>> Why don't you read some of them, John?

1:27

>> What are my favorite Jeff Dean jokes uh

1:28

jokes? There's a whole bunch. Any

1:30

opportunity to repost the the Jeff Dean

1:33

Informatica link? Compilers don't warn

1:35

Jeff Dean. Jeff Dean warns compilers. Uh

1:39

Jeff Dean's keyboard, it only has two

1:41

keys, a one and a zero, because he

1:43

programs in binary. Uh that it's that

1:46

type of thing. Uh unsatisfied with

1:48

constant time, Jeff Dean created the

1:50

world's first 01 overn algorithm, so he

1:55

can bend time. There's all these

1:56

programmer jokes. I don't know. Uh

1:58

they're a lot of fun. He knows the last

1:59

digit of pi, that type of thing. Uh but

2:01

he's been a legend. These were on Quora

2:03

maybe 15 years ago, maybe more. People

2:07

were so uh excited about him and for

2:09

good reason. Uh he invented tons of

2:10

things.

2:11

>> Jeff doesn't call APIs. APIs call him.

2:14

>> Exactly. That type of thing. The lore

2:16

around Jeff Dean has been substantial

2:18

throughout his entire career. Uh he has

2:21

been, you know, very key to so many

2:23

different uh Google projects integral in

2:26

map reduce and uh actually being able to

2:29

scale Google systems.

2:30

>> Does this make any sense? Chuck Norris

2:32

counted to infinity twice. Jeff Dean did

2:36

it in parallel.

2:37

>> Ah, okay. Yeah, that's kind of funny.

2:39

It's programmer joke, but uh I don't

2:41

know.

2:43

But yeah, it's just funny that he was

2:45

able to like have this level of aura at

2:48

Google uh as like a non-founder, just a

2:52

great scientist. And it was so long ago

2:55

before there were before there was so

2:57

much attention on like talent below the

3:00

founding team and below the investing

3:02

team or whatever, you know. Uh

3:04

>> truly a living legend.

3:05

>> Yeah.

3:06

>> Jersey will be going the Google Jersey

3:07

will be going in the rafters.

3:09

>> Yes. But for sure he's not done.

3:10

>> He's not done and he's starting a new

3:12

company which is very exciting because

3:13

there's a lot of opportunity in machine

3:14

learning science and engineering

3:16

obviously. So uh Google DeMine CTO and

3:18

Google's chief AI architect Corvlu

3:24

I can't pronounce it. I'm sorry. Um is

3:26

being promoted to SVP and will lead

3:28

DeepMind. So Cor is now running Deep

3:30

Mind. But interestingly, there's no new

3:33

CEO uh of DeepMind, which always seemed

3:37

to be an odd uh decision because

3:40

DeepMind was not its own reporting unit

3:43

like when the uh when quarterly earnings

3:46

happening happen. You get YouTube

3:48

numbers, you get Google Cloud numbers.

3:50

And so having a CEO of those divisions

3:52

made a lot of sense of those

3:53

organizations. But DeepMind was always a

3:56

was always a unit that sort of cut

3:57

across everything because the work that

3:59

DeepMind does on Gemini and the models

4:02

made a lot of sense to vend into YouTube

4:05

and now there's a little Gemini button

4:07

when you're on YouTube and you can just

4:09

go to a one-hour long podcast and say

4:11

when did they talk about this and it'll

4:12

just answer you. And so that was like a

4:14

feature that was vended into that

4:16

obviously goes into core Google search.

4:17

Gemini models help with ads. They help

4:19

with the actual Gemini products. Like

4:21

they get vended everywhere. There's a

4:23

Gemini button in Chrome. There's also a

4:24

Gemini button in Google Docs. There's

4:26

also a Gemini button in Gmail. And so,

4:28

uh, it was it was never like its own,

4:31

even though it was its own unit, like

4:33

the value that it created at Google was

4:35

very, uh, was very crossorganizational

4:38

as opposed to, you know, the YouTube

4:41

team has a CEO and they have revenues

4:43

and they have ads and they have a

4:44

product and yes, it's integrated into

4:45

the other things, but it very much is a

4:47

standalone organization, reports its own

4:49

financials and has a CEO. So, no CEO for

4:52

DeepMind, at least in the short term.

4:54

We'll see where it goes. Uh, on X, Demis

4:56

says the move will quote, "allow him to

4:58

focus on long-term strategy and

5:01

accelerating scientific breakthroughs."

5:03

He's done a lot of that already, uh,

5:05

including leaning into his work at

5:07

Isomorphic to help cure disease. He

5:09

fleshed this out more on Google's blog.

5:11

He said, "I've decided that now is the

5:14

right time for me to hand over my

5:15

day-to-day operational responsibilities

5:17

at GDM uh so that I have the time and

5:20

space to focus on the big picture and

5:22

help influence what is to come uh uh to

5:24

the best of my ability. In my new role,

5:26

I will continue to work closely with

5:28

Sundar on strategic and global AGI

5:31

matters and to advise Corey Josh and the

5:33

GDM leads uh from our awesome new London

5:36

platform 37 offices. As part of this

5:39

transition, I will also be leaning into

5:41

my role at Isomorphic, where we are

5:43

making uh extremely rapid and promising

5:45

progress to accelerate our mission there

5:48

even faster. As you have heard me say

5:51

many times, I've always believed the

5:53

number one application of AI should be

5:54

to improve human health. That is a great

5:57

message. Very different from the SpaceX

6:00

S1. The number one application of AI is

6:03

soft power of the entire galaxy. I mean

6:06

[laughter] there's that but also just in

6:08

the actual like application it's like

6:10

it's like enterprise workflows which is

6:12

the now at least

6:14

>> some type of shakeup has been expected

6:16

for a long time

6:18

>> uh Google the deep mind organization has

6:22

you know made some real contributions to

6:24

the space but has been lagging it's been

6:26

a point of embarrassment for I would say

6:29

for Google for I would say a year

6:32

>> uh plus

6:33

>> uh they've always felt behind

6:36

uh even though they created so much of

6:38

the fundamental research that is uh you

6:41

know gone into this entire chapter of

6:43

the uh you know

6:45

>> certainly not behind on video the video

6:47

stuff's really good.

6:48

>> Yeah, sure. But then you get kind of

6:50

tied up because the Chinese models are

6:52

like actually we will do Mickey Mouse.

6:54

>> Yeah. But here's the thing. At no point

6:56

>> has Google been breaking out their true

6:59

AI revenue in a way that gets

7:02

shareholders excited.

7:03

>> Yeah. And that's a good point. What

7:05

would Yeah. And there's just been so

7:06

many so many question marks. There was a

7:08

moment I mean over a year ago felt like

7:11

Google had some real momentum but that

7:14

momentum was very much lost. And so

7:15

there's this question of

7:17

>> uh you know when Gnome left

7:20

>> which was about a month ago

7:22

>> uh that felt shock that was like more

7:23

shocking in some ways than even this.

7:26

feels like

7:29

what feels like a hole in the organiz

7:38

uh it's it's recovered a little bit just

7:41

down three and a half% um but I mean the

7:43

big thing is like they just started like

7:46

Google as a company I don't think

7:49

>> was able to be at least sufficiently AI

7:52

pilled right they started selling

7:53

compute a lot of researchers I I'm sure

7:56

were frustrated with that and that could

7:58

have could [clears throat] have led to

7:59

some of the historical

8:01

>> Tyler over there thinks Nvidia shouldn't

8:03

sell the chips if they're really AGI

8:05

pelled. The much more extreme version of

8:08

of Google should keep the TPUs for

8:10

themselves is is Nvidia should keep the

8:12

GPUs for themselves. Um and yeah, I mean

8:15

that was something that was that was you

8:17

know discussed as okay it if if if you

8:20

believe you're in the foothills of the

8:21

singularity you you you will want to

8:24

scale your compute if you're seeing

8:26

traction in the in the products that

8:27

you're making you you want to be GPU

8:30

rich you don't want to be selling TPUs

8:33

to other companies and so that's got to

8:35

be there's got to be some tension but

8:36

Google's a big organization there's

8:37

multiple organizations within Google and

8:40

they all have different uh different

8:41

KPIs so one team might say, "Yeah, my my

8:45

mandate is to sell as many of these as

8:46

possible externally." Other people might

8:48

say, "My job is to keep as many of these

8:50

internally." And there's a lot of

8:51

debates there. So, we'll see.

8:53

>> Obviously, Google has made a, you know,

8:54

massive bet on Tropic and is, you know,

8:57

becoming their largest financial backer,

8:59

especially through some new reporting on

9:01

on some of the lease guarantees that

9:04

they're doing.

9:05

>> Yeah.

9:05

>> Um, but uh but anyway, still so

9:08

surprising. Google obviously one of the

9:10

greatest companies of all time

9:12

>> has every possible advantage

9:16

uh in this race and yet has just

9:19

consistently struggled. Susan Jong uh

9:23

who is currently on leave from Deep Mind

9:26

>> um posted a little somewhat of a a fable

9:31

backdrop kings all asleep slash on

9:34

vacation while minions slave away.

9:37

August 2024 first big fail. Fast forward

9:40

January 2025 only competent VP bails

9:43

after one terrorist lead demanding an

9:45

even bigger slice of pie breaks the

9:47

camel's back. Summer 2025, a year ago,

9:50

second big fail and king of terrorists

9:53

climbs the ranks above the slumbering

9:55

execs.

9:56

>> This is a crazy

9:57

>> summer tweet.

9:58

>> Summer 2026, slumbering execs and

10:01

terrorists who only show up for

10:02

successful announcements. Move on,

10:04

leaving just the king of terrorists

10:06

behind. lessons. If you're high enough

10:09

up there, you can pretty much be a

10:10

terrorist and hold orgs hostage while

10:13

continuing to ask for more and more and

10:15

more until there's absolutely no more

10:16

aura or gold left to plunder and then

10:19

just move on to greener pastures to do

10:22

it all over again. Uh, and we'll leave

10:25

it up to you

10:27

>> crazy crazy post

10:28

>> to try to figure out who's who in this

10:30

story. Doesn't strike me that that Susan

10:33

will be headed back to the company after

10:35

[laughter]

10:36

after this code.

10:37

>> Crazy crazy person.

10:38

>> Uh she says, "I've been on leave since

10:40

January. Got pretty burned out by

10:41

certain people who just say yes to

10:42

everything to avoid ever making a hard

10:44

call." Yeah.

10:45

>> And leave it all to the hungry minions

10:47

to backstab each other until success

10:49

finds a cursed hole to crawl out.

10:51

>> I mean, to be fair, I I I was looking at

10:53

uh at Tyler's alt account, and he he

10:55

talks about us like this all the time.

10:57

He's always he refers to you as the

10:59

slumbering exec and me as the terrorist

11:01

terrorist.

11:02

>> It's a I mean I believe in free speech.

11:04

I defend your right to say these things,

11:06

Tyler. I am offended but you know you're

11:08

not. [laughter]

11:10

>> No, it's a wild wild thing.

11:13

>> One of the crazier

11:15

>> sub tweets from a big tech.

11:17

>> Yeah, but I I don't know. I would I was

11:19

never sure that she worked there. It

11:20

felt like it was maybe like an alt

11:22

account and it was just like an anon.

11:25

But it does seem like I mean she was

11:27

saying right here, I've been on leave

11:29

from this organization. So I don't know.

11:31

Uh and somebody calls her the Homer of

11:34

our times. Another interesting like

11:36

wrinkle here is if you look at what

11:38

Demis was talking about writing about

11:40

just a few weeks ago. Um it wasn't as

11:44

much focused on the isometric uh

11:47

scientific advancements. I know he's

11:49

super deep in that and that's what he's

11:51

he said he's been focusing on and I love

11:54

that message. Uh he says it's time for

11:56

AI to prove its unequivocal value in the

11:58

world and what better way to demonstrate

12:00

that than than to help finally cure

12:03

diseases like cancer. 100% agree 100%

12:06

agree that I if if you get a new cure

12:10

for cancer you save someone's life and

12:12

they can go and say yes I I I took the

12:15

new cancer cure and I was cured. AI is

12:18

doing its job. A lot of people will be

12:20

very happy about that. Perfect. But

12:22

that's not what Demis was writing about

12:24

a couple weeks ago. Uh the last

12:26

substantial piece that Demis put out was

12:28

called the framework for frontier AI and

12:31

the dawning of new age in which he

12:33

argues for a frontier AI standards body

12:37

that evaluates frontier models before

12:39

they're released for risks associated

12:41

with super intelligence. It's at the

12:43

very least not crazy to assume that

12:44

Demis' new role at Alphabet is maybe

12:47

related to what he's advocating for in

12:49

this essay. Uh there's been a lot of

12:51

back and forth in Washington about the

12:53

interpretation of that essay and a lot

12:55

of AI researchers have stepped up and

12:56

said like, "Yeah, we basically agree

12:58

with this. This framework seems pretty

12:59

good. It includes open source models in

13:01

there."

13:02

>> Yeah. To me, Demis could be an amazing

13:04

candidate as as somebody to lead a new

13:08

regulatory body.

13:10

>> Lead America as the president. You think

13:11

he's running?

13:13

>> Not quite, but

13:14

>> I think we got to get a researcher in

13:15

there at this point.

13:16

>> Be great.

13:18

>> Yeah. Um, no. So, big question now. So,

13:20

Jeff Dean is out. Gnome Shazir is out.

13:23

Damus is out. Who is going to fill that

13:26

void from a leadership standpoint? How

13:28

are they going to be able to recruit the

13:30

best researchers in the world?

13:32

>> Uh, that's a big question mark. I

13:34

wouldn't be surprised at to see Google

13:36

just shift into more of an NVIDIA style

13:39

role as like a capital partner to a

13:42

number of other labs as they, you know,

13:46

continue to fall. It's it's it's maybe

13:48

more of like an Amazon and Microsoft

13:50

role where you have a great business.

13:53

You're also great at building

13:54

infrastructure. You also have a

13:56

semiconductor team and a chip team and

13:59

you can play up and down the stack but

14:01

maybe you're not as as focused on this

14:04

like full stack straight shot thing and

14:06

you're partnering with other labs on on

14:08

different pieces of the puzzle. It'll be

14:09

interesting to see where everything

14:10

goes.

14:10

>> Tano Bruss is ousted as Deepmind CEO and

14:13

Jeff Teen and Sanjay are leaving Google

14:15

to start a Neolab. They're all being

14:16

very careful to frame these as positive

14:19

shifts. But there's no way in heck Demus

14:21

would have accepted this willingly and

14:22

there's no way Sundar happily accepted

14:24

Jeff doing this as a totally independent

14:27

new public benefit corporation rather

14:29

than a bet under Alphabet. Tough to see

14:32

an interpretation other than Jeff losing

14:34

confidence and working on AGI under

14:35

Google. Very bad.

14:36

>> We need a Sebastian Malibi sequel. We

14:38

need a sequel

14:39

>> over all.

14:41

>> I would love for him to write a uh a

14:43

sequel to just and even zoom out and

14:46

look at the the the the AGI wars

14:48

generally like he did in the power law

14:51

about the early venture capital firms

14:53

and how they all formed and battled each

14:55

other. Uh that would be great. Anyway,

14:58

>> Rohan Anneil over at Core Automation

15:01

says, "Pour one out for the big G. It's

15:03

so over."

15:05

>> [laughter]

15:06

>> Um, [clears throat] we did have a funny

15:09

uh

15:10

>> brutal

15:10

>> funny moment with uh Google AI overviews

15:14

uh yes uh a couple days ago where uh it

15:18

said that one of our friends Yeah.

15:20

>> was married to another of our friends

15:22

wife.

15:23

>> Yes.

15:23

>> And it was quite confident in that

15:25

>> it was.

15:26

>> And I have no idea how how it even

15:29

>> thought of that.

15:30

>> Yeah. I think it was because they did a

15:32

podcast together or something like that.

15:33

like they were linked in a blog post

15:36

together, something like

15:37

>> doing a podcast together.

15:38

>> She wrote about him or something or

15:41

wrote a profile and it just like kind of

15:42

put the names together. Uh, very odd.

15:45

Yeah. I don't know. Uh, yeah. You have

15:48

to wonder what it takes to get AI

15:50

overviews into like a reasoning mode

15:52

that can actually do the factecking so

15:53

the hallucinations die down because

15:55

>> Well, yeah. And they have to figure out

15:56

a way to make that process so

15:58

inexpensive because they're serving it

16:00

billions. Yeah.

16:01

>> Billions. Nathan Lambert says, "Major

16:03

restructuring at Gemini will be studied

16:06

forever as the incumbent with all the

16:07

advantages not being able to get going.

16:09

>> They got going. This is this is not

16:11

correct. They completely got going.

16:13

>> They got going, but they certainly

16:15

didn't build uh real momentum." Uh and

16:19

then he says, "PS, OpenAI accomplished

16:21

their original goal."

16:22

>> He buyers PS of the century. But yeah,

16:25

backstory is that a lot of the initial

16:28

energy around open AI was a concern that

16:30

uh Google would control AGI and a fear

16:34

from the various uh early participants

16:38

>> around that scenario.

16:40

>> Yeah. Interesting.

16:41

>> And almost even more positive news, the

16:43

moment you've all been waiting for. Car

16:46

play is coming to pontoon boats.

16:51

Let's [applause] go. Finally.

16:54

Finally. Finally, finally.

16:57

>> Have you ever been on a pontoon boat?

16:59

>> Yes.

17:00

>> Explain what what context were you on a

17:02

pontoon boat? What is a pontoon boat

17:04

even look like? This is a terrible

17:06

photo.

17:06

>> It's for cruising. It's for cruising.

17:08

Team, pull up a pontoon boat. Go.

17:10

>> It's not It's not like a monohole, but

17:12

it's not a catamaran.

17:13

>> It's something between like a

17:15

>> cigarette boat and a house boat.

17:17

>> Okay. That's a really wide gap.

17:20

>> Well, it's right in the middle.

17:21

>> Okay. Mastercraft Boat Holdings today

17:23

said it's adding CarPlay to its upcoming

17:26

Crest and Bise pontoons. Uh the company

17:30

is working with Savvy Navy to bring

17:31

CarPlay and onwater navigation to Boers.

17:35

>> And uh Mastercraft Boat Holdings Inc. of

17:38

course a public company experiencing a

17:40

god candle [laughter]

17:42

really up 72%.

17:45

>> Up 18 18 cents.

17:47

>> Okay. This is cool. This is very cool.

17:49

See?

17:50

>> Yeah. This is a double-decker.

17:51

>> Double decker. See, out in California,

17:54

we don't we don't know anything about

17:55

these pontoon boats cuz these don't work

17:57

at the beach, right?

17:58

>> Correct. Uh, but I I was sort of

18:01

correct. Somewhere in between a house

18:02

boat and

18:04

>> Aren't you from the land of a thousand

18:05

lakes? Right. Michigan. Isn't that the

18:07

land of a thousand?

18:08

>> No. Me? Minnesota.

18:09

>> Oh. Oh, you're from Okay. Are Are you a

18:11

pontoon boat guy?

18:12

>> Pontoon boats are huge in Minnesota.

18:14

>> Okay.

18:14

>> Yeah.

18:14

>> How many

18:15

>> They're for lakes.

18:16

>> They're for lakes, basically. How many

18:18

hours have you spent on pontoon boats in

18:20

your life?

18:20

>> 10,000

18:21

>> 10,000 hours. [laughter] The man man put

18:24

in life's work on the pontoon boat.

18:27

Apparently [clears throat]

18:28

[laughter]

18:30

just

18:31

>> you're in the wrong job, buddy.

18:33

>> I think I think you got become a pontoon

18:36

boat.

18:36

>> It is crazy to think in another life Ben

18:38

could have been the top pontoon boat

18:40

salesman in the entire world. Moving

18:42

over to

18:44

>> what is the story of the day in

18:46

technology?

18:47

>> Yes, startup billionaire sued over super

18:50

yacht broker fee. Everyone's talking

18:53

about this. This is potentially bigger

18:54

than what's going on at Google today. Uh

18:57

in London, the billionaire founder of

19:00

one of the world's most valuable

19:01

startups recently bought a super yacht

19:04

valued at an estimated $400 million.

19:11

Yeah. [applause]

19:13

>> Continue.

19:14

>> Uh, replete with a glass bottomed

19:16

swimming pool and a helipad. Do they

19:18

make Wait, do they make super pontoon

19:21

boats? Can you get a $400 million

19:24

pontoon boat? What does that do for you

19:26

if you

19:27

>> almost certainly

19:28

>> can you imagine just a a 300 foot?

19:31

>> The world will create infinite ways to

19:33

to make you part with your your

19:36

hard-earned money.

19:37

>> Yeah. Uh, and and I'm sure we could

19:39

arrange a a almost half a billion dollar

19:41

pontoon boat.

19:42

>> Team AI images. I want to see what $400

19:46

million gets me. If I'm going all in on

19:48

a pontoon boat, I want to really

19:50

dominate Lake Michigan. Is Lake Michigan

19:53

too big for a pontoon boat?

19:56

>> Yeah. I I think the pontoon boat is not

19:58

for like big waves. You can't It can't

20:00

be like

20:00

>> But there's not big waves on on uh Lake

20:03

Michigan. You can't surf or anything?

20:05

>> I don't think so.

20:06

>> Surf. Yeah. Anyway, so [snorts]

20:08

uh it was a $400 million super yacht. It

20:12

had a glass bottomed swimming pool and a

20:14

helipad. There was just one problem.

20:17

According to this reporting in the Wall

20:19

Street Journal, he didn't pay the

20:21

broker's fee. That is according to a top

20:24

luxury yacht broker who is now suing

20:26

Nick Steronsky, a co-founder and chief

20:29

executive of digital banking giant

20:31

Revolute, alleging the entrepreneur went

20:34

behind their back to avoid paying

20:36

commission on a purchase they had worked

20:39

on. Cecil Wright and Partners, a luxury

20:43

yacht broker, uh, filed the legal action

20:46

in London's High Court over Stransky's

20:49

acquisition of Nixie, a 335

20:53

ft vessel with four terraces. The broker

20:55

alleged in a court filing that it was

20:58

negotiating the purchase for Stronsky

21:00

when his team secretly contacted the

21:02

yacht seller directly and agreed to buy

21:05

the boat, avoiding roughly $20 million

21:07

in standard commission. the amount the

21:10

dealer now claims it is owned. It is

21:12

owed. In January, Steransky's team

21:15

allegedly told Cecil Wright to hold off

21:19

hold off on contacting the vessel

21:20

seller, Canadian billionaire and former

21:22

hockey player Patrick Dviji uh and said

21:25

they would talk again the following

21:27

week. According to the filing, the

21:29

filing claims that by next week

21:30

Steronsky's team had already arranged to

21:32

buy the boat directly from Dviji,

21:35

bypassing the broker entirely. It was

21:37

Cecil Wright that brought the yacht to

21:39

Sterransk's attention and introduced the

21:41

Revolute co-founder and the owner.

21:43

>> Matt Young says, "Unbelievable taking

21:46

food off the table of that luxury yacht

21:48

broker's family."

21:52

>> Uh, a spokesman for the Sheronsky family

21:54

office said, "We are aware of the claim.

21:56

It is without merit and it will be

21:58

defended." He says he's not guilty.

22:00

Nixie features a private wellness spa,

22:02

indoor and outdoor cinemas, two movie

22:04

theaters. Now we're talking. As well as

22:08

a Japanese tanyaki grill. According to

22:10

Boat International, a

22:11

>> pull up this picture that Tyler just

22:12

shared. I think this is what Nixie looks

22:15

like.

22:15

>> Yeah, let's see it. Uh, when charted it,

22:17

it is equipped with a variety of water

22:19

toys, including a luxury Seabob water

22:21

sled and inflatable blob launchers. Is

22:25

this the pontoon boat? The luxury

22:27

pontoon boat.

22:28

>> Oh, sorry. That's that's the the $400

22:30

million pontoon boat that Tyler just

22:33

generated.

22:34

>> That's pretty good. I like it. I like

22:36

it. Uh, Steronsky is one of Europe's

22:38

highest profile startup founders.

22:39

Founded in 2015, Revolute is now the

22:41

world region's most valuable startup

22:43

with a recent share value uh share sale

22:46

valuing the digital bank at $115

22:48

billion. Wow, Revolute, what a tear.

22:50

Originally built around low fee foreign

22:52

currency transactions, Revolute is

22:54

widely used by international travelers

22:56

and migrants, sending remittances home,

22:58

the company gained a full UK banking

23:00

license in March after a lengthy battle.

23:03

Wow. It took them over a decade to get a

23:06

banking license. That is crazy. But they

23:08

did it after a lengthy battle. Now

23:10

they're looking to expand into the

23:12

United States, having recently applied

23:14

for a national banking charter.

23:15

>> It's crazy that they can't go faster.

23:17

Arabore got a charter so fast and then

23:19

there's been other there's been other

23:21

companies that have explored like buying

23:22

a regional bank and then using that

23:24

charter. Why? It's almost certainly part

23:27

of why Revolute is now such a massive

23:30

company because they don't have infinite

23:33

competition in the way that

23:34

>> true

23:35

>> many many banks and neo banks have here

23:37

in the US.

23:38

>> Earlier this year, Revolute reported

23:40

record annual profits and a jump in its

23:42

customer numbers. At the same time, uh

23:45

Revolute said it remained focused on its

23:47

goal of increasing its customer base to

23:49

100 million users by mid 2027 from more

23:52

than 70 million currently. Well, good

23:55

luck in the luxury yacht battle.

23:57

Hopefully, everyone gets what they're

23:59

owed and everyone is compensated fairly.

24:01

Hate to see people fighting over that.

24:03

AI's great reverse bank run. In today's

24:06

newsletter, Joe Weisenthal wrote about

24:08

Leopold's basilisk and what makes this

24:11

particular mania field distinct. People

24:13

are betting on left tail outcomes

24:15

without sacrificing the right tail of

24:18

financial opportunities. Doomers are

24:21

getting fabulously wealthy. Let's see

24:23

what he's saying. Here's the deal.

24:24

Historically, if you want to cut off

24:26

your left tail, you also have to cut off

24:29

your right tail. Or to put it more

24:31

specifically, uh if you are up big on a

24:33

stock position, you want to hedge your

24:34

gains by buying puts, you can do that.

24:37

But if you want to maintain your puts

24:38

over time, you spend a lot of money and

24:40

erase any upside gains that you might

24:41

otherwise be making. Or to put it even

24:43

more generally, suppose you're afraid of

24:46

the outbreak of war. Well, you can move

24:48

to a rural farm and grow your own food,

24:50

but then you miss out on the economic

24:52

opportunities afforded by living in the

24:53

city. People make these kinds of

24:55

trade-offs all the time depending on

24:56

what's worrying them. Pin that thought

24:58

for just a second. One of the big

25:00

questions with AI is whether it's just

25:02

another technology or whether it somehow

25:04

will be different this time. It's

25:06

purchasable intelligence kind of like

25:08

purchasable electricity or is it

25:11

something more like a sci-fi novel where

25:13

humans get replaced or eliminated in

25:15

some way as businesses the big American

25:16

companies selling AI mostly operating as

25:18

if AI is just another technology to be

25:21

developed and solved. But we know that

25:23

there's deep anxiety within the

25:24

companies themselves that AI could play

25:26

out in the way sci-fi novels have

25:28

expected for decades. And this sometimes

25:30

is reflected in their governance

25:31

structures. Here's one stylized fact

25:33

though that [snorts] might argue for the

25:36

it's different camp. If you are one of

25:38

those people who's been reading AI

25:39

philosophers and message boards for the

25:41

last decade, familiar with paperclip

25:43

maximizers since long before ChachiPD

25:45

came out, you might have deep

25:47

existential fears about something bad

25:50

happening right around the corner. You

25:51

might also have ended up very very rich.

25:53

With AI, there has been no tradeoff. The

25:55

doomers who were early on accumulating

25:57

GPUs or better yet shares in GPU

25:59

companies have done extremely well. The

26:01

put option on humanity has become the

26:03

call option on the technology. You could

26:05

bet on left the left tail outcome, not

26:08

sacrifice anything financially. We've

26:10

maybe had some shades of this before.

26:13

For a while, Bitcoin was or had

26:15

characterized as an end of the world

26:17

hedge, a form of money for when the

26:18

nation state collapsed and people made a

26:20

lot of money on that bet. But a trader

26:22

wasn't driven by the fear that Bitcoin

26:24

was a world destroyer. Or take gold.

26:27

Betting on gold at certain times

26:28

protected you against hyperinflation.

26:30

But the fear that came with the bet did

26:33

not entail gold being the catalyst for

26:35

doom. Something else would be the

26:37

catalyst, but you would be protected. AI

26:40

is different. The long- feared catalyst

26:41

for doom itself has presented an

26:43

unbelievably profitable trade at least

26:44

so far. What's interesting about this is

26:46

that uh he's sort of he's saying like

26:48

the doomers got rich. Uh there are

26:50

plenty of AI doomers who uh did not join

26:53

AI labs, did not participate

26:55

financially, worked in nonprofits, just

26:58

wrote books, worked on research, did not

27:01

ever join anything that had economic

27:03

upside. But I take his point that in

27:06

general, if you were early to this, oh

27:08

well, like things are going to get

27:10

weird, you probably were earlier on the

27:12

train. And a lot of those people that

27:14

were talking about AI and doom scenarios

27:18

did wind up working at labs that did

27:21

very well. So it's a good point, but

27:22

there are some people that that don't

27:24

fall in this category. Um, long before

27:26

we had the transformer architecture of

27:27

GPT, people have been characteriz

27:30

theorizing about the risks of AI doom.

27:32

One popular thought experiment is

27:33

Rockco's Basilisk, a 2010 thought

27:35

experiment. Wow, when was the last time

27:37

we got a new thought experiment? I

27:38

didn't know they were dropping new ones

27:40

in 2010. That seems kind of recent.

27:41

What's the most recent thought

27:43

experiment that's really taken hold and

27:45

been thoughtprovoking?

27:46

>> Golden retriever mode.

27:47

>> That's not a thought experiment. That's

27:49

an axiom. That's a that's a lifestyle. A

27:52

thought experiment is almost like a

27:53

paradox. Something you can wrestle with.

27:55

We got to come up with some new

27:56

>> I've been wrestling with golden

27:58

retriever mode.

27:59

>> You think it's a thought experiment?

28:00

>> I think you can make it one.

28:02

>> I don't I don't think it falls in the

28:03

bucket of thought experiment. What do

28:04

you think, Tyler? [laughter] No. What

28:06

are you guys laughing at? Are you doing

28:08

more more pontoon boats?

28:10

>> Crazy text. I'm trying to find the most

28:12

recently created thought. [laughter]

28:14

>> Okay, Jackson, you are correct. Yes,

28:16

that is the most recent thought

28:17

expander. Uh, good stuff. Any anyway,

28:20

uh, last story that I want to talk

28:21

about. Jordan, if you got anything, let

28:22

me know. But, uh, the founder of Bite

28:26

Dance apparently just banned his

28:28

employees from distilling US frontier

28:32

models, which begs the question, what

28:36

were they doing before? [laughter]

28:38

But uh according to this post, fears

28:41

distilling US models would trigger

28:42

Washington that there might be push back

28:44

in Washington DC over this. Obviously, a

28:47

lot of the labs, they don't like getting

28:48

distilled. We've seen all the

28:49

complaints. Um and it might put Tik Tok

28:52

at risk again. Anthropic has accused

28:53

Deepseek, Moonshot, Miniax, uh Zai,

28:56

Alibaba, all of distilling Claude, but

28:58

they haven't accused

29:00

>> I think he's doing a little bit of comms

29:02

and marketing. He said, "We we should be

29:05

willing to sacrifice some short-term

29:06

gains for longer term goals. No

29:09

distillation allowed even if we lose."

29:12

Uh interesting story. Yeah, we'll see.

29:14

Uh we'll see. Maybe maybe uh the the

29:17

distillation attacks will stop. Maybe

29:19

they will continue and abaded. Maybe uh

29:22

super intelligence can can can weed it

29:24

out if you're trying to distill.

29:26

>> Elon on the SpaceX call. It's probably

29:27

also worth mentioning that our internal

29:29

projections for reaching 1 trillion in

29:31

revenue have moved up from 2031 to 2030.

29:36

>> Mhm.

29:36

>> Uh and Ryan Peterson says, "F it. We're

29:39

making our 2031 goals our 2030 goals

29:42

now, too. [laughter]

29:44

>> I love it." Well, uh there's another

29:46

model that launched, Muse Code from Meta

29:49

Super Intelligence. Mark Zuckerberg

29:51

posted again on X the everything app.

29:53

Wait, I gotta follow him. Why am I not

29:55

following him? because it's just a new

29:56

poster now. Um, releasing Muse Code in

29:58

beta today. It's a terminal coding agent

30:00

that takes on complete software

30:02

engineering task powered by Muspark 1.2,

30:05

a coding agent, a coding focused model

30:07

update. Um, and so I'm sure people will

30:10

be benchmarking this, seeing where it

30:11

stacks up, what it uh how it how it

30:14

prices out, where it's good, where it's

30:16

bad, all those things. Uh, over in

30:19

Microsoft land, they're going all in on

30:23

uh GPT 5.6 6 soul. A m a Microsoft exec

30:26

just sent an internal memo that's

30:29

designed to end token maxing and makes

30:31

OpenAI's GP GPT 5.6 Soul the default

30:34

model for internal use. So uh that was

30:37

line one on the Ed Zitrin uh to-do list

30:41

for Sam Alman. Make sure Microsoft likes

30:44

the model [laughter] and uh seems like

30:46

mission accomplished.

30:47

>> We'll see you tomorrow folks.

30:49

>> Have a good day. Have a good Thursday.

30:52

Is it Wednesday? Have a good Wednesday.

30:54

We'll see you tomorrow.

30:55

>> We love you.

30:56

>> And we love you.

30:57

>> Flashback.

30:57

>> Goodbye.

30:59

Peace.

Interactive Summary

The video discusses major organizational changes at Google DeepMind, including Demis Hassabis transitioning to a role as Alphabet's chief scientist and chairman, and the departure of Jeff Dean to start a new company. It touches upon the company's internal challenges, leadership void, and strategic struggles in the competitive AI landscape. Furthermore, the video covers lighthearted topics like the introduction of CarPlay to pontoon boats, a legal dispute involving a luxury yacht broker and Revolute's CEO, and reflections on the 'AI doomer' phenomenon where existential fears paradoxically coincided with financial gains. The discussion concludes with industry news regarding ByteDance banning model distillation and various AI model updates.

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