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GPT-6 Hits AGI? Tech Euphoria 2.0, SF Mansion Shortage, NYC Bans AI in Schools & Venezuela Oil Deal

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GPT-6 Hits AGI? Tech Euphoria 2.0, SF Mansion Shortage, NYC Bans AI in Schools & Venezuela Oil Deal

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2555 segments

0:00

All right. Happy birthday, Chimath.

0:01

We're here taping on your 50th birthday.

0:04

Super exciting for you, brother.

0:05

>> Thank you. It's really great. I got a

0:07

birthday letter from uh the big man.

0:09

>> Oh, wow.

0:10

>> If you had asked my parents,

0:13

>> 50 years later, you're going to have a

0:14

kid that gets a letter from the then

0:17

sitting president of the United States,

0:18

they would have thought absolutely not

0:21

possible.

0:22

>> Wow. Look at that. Which White House

0:24

intern wrote that?

0:28

>> I wonder.

0:30

Let your winners ride

0:34

David.

0:38

>> We open source it to the fans and

0:40

they've just gone crazy with it.

0:46

>> Well, actually speaking about interns,

0:47

it was an intern. In this case, it was

0:49

my son. The story was that, you know,

0:51

Braden worked at the White House all

0:53

summer as an intern. And at the end of

0:55

the summer, you know, he used all of the

0:57

political capital he built and put in a

0:59

request to get this letter from the

1:00

president and he did it. Obviously, I

1:02

want to thank POTUS for sending me the

1:03

letter, but I really want to thank my

1:04

son because it was a really thoughtful

1:06

thoughtful thing that he did for me. So,

1:08

really appreciative of that.

1:09

>> That actually is impressive because, you

1:12

know, it takes time out of the

1:13

president's schedule to sign things. So,

1:15

that's why I mean something, you know.

1:16

>> All right, listen. Breaking news.

1:18

Breaking news. It's a breaking news

1:20

story here on the All-In podcast. Open

1:23

AAI is rolling out chat GPT 6 aka Astra

1:28

AS folks. This is their new flagship

1:31

model. It's going to be available to a

1:33

limited set of organizations in the

1:35

coming days. Y'all will be able to get

1:37

it if you have a credit card in your

1:39

chat GPT account, i.e. the plus pro

1:42

business and enterprise users. You're

1:43

going to get it soon. Greg Brockman says

1:46

he believes OpenAI has entered the AGI

1:49

era. And uh we've talked about that here

1:52

before. Sam Alman is well he's back to

1:56

uh being a little bit uh performative/

1:59

alarmist or he sincerely believes that

2:01

this is the one. Here's what he said at

2:03

Wednesday's G20 summit. Quote much much

2:08

much three muches more capable models

2:12

are coming soon. The next generation of

2:14

models are going to be sobering for

2:17

everyone. And his final quote, I think

2:19

no one intellectually honest can look at

2:21

what's happening and not feel the weight

2:24

of responsibility in front of us. My

2:26

lord. Uh a little bit of drama there. Uh

2:28

added to his um his quotes. People are

2:31

freaking out about the benchmarks which

2:34

are off the charts. Some people are

2:36

saying uh this is the one. Your

2:39

thoughts, Chimoth?

2:41

>> I don't think normal humans know how to

2:42

read this chart and infer anything

2:44

useful from it. The more important

2:45

takeaway, I agree with Greg. I think AGI

2:48

has basically been here since the

2:50

beginning of the year. There are models

2:52

that are incredibly performant inside of

2:55

the closed frontier lab companies

2:58

and I think right now we're trying to

3:00

figure out the right cadence with which

3:01

to release it. I think it's very

3:03

important. I also think that these

3:05

capabilities will be matched or close to

3:08

matched by a handful of closed source

3:11

alternatives and

3:14

open source alternatives

3:16

>> probably within the next 3 or 4 months.

3:19

So I think the right way to think about

3:20

this for most people is

3:24

we are seeing

3:27

incredible intelligence capabilities be

3:30

broadly available and we are seeing the

3:32

cost of that incremental unit of

3:35

intelligence being driven further and

3:37

further down. So it's a really positive

3:40

trend. Now I think it's just the messy

3:42

middle part of organizing this properly

3:44

for companies and for people and

3:46

building things that are useful and

3:48

showing an actual ROI and I would just

3:51

>> walking and tackling. Yeah,

3:52

>> I would just keep calm and carry on.

3:54

>> Okay, Sax, any thoughts here on uh

3:57

breaking news today and then Freeber,

3:59

I'll get your reaction.

4:00

>> But by the way, it is very exciting and

4:01

congratulations to OpenAI and I'm sure

4:03

anthropic will have something as Grock,

4:05

you know, Grock still has yet to drop.

4:07

46 is coming. That's going to be a

4:08

blockbuster. The meta models are really

4:11

good. Gemini just dropped something

4:12

yesterday that was exceptional. So the

4:15

great thing is we have a lot of choice

4:17

>> and the even better thing is the cost of

4:19

that choice is becoming cheaper and

4:20

cheaper and cheaper. That's very

4:22

>> sax. Let me tear it up to you this way.

4:25

Openai seems to get its groove back now

4:28

after anthropic was running away with

4:29

it. Grock and rockbot are doing things

4:32

that those two other frontier models

4:34

simply can't do. to the execution,

4:36

whether it's the harness or the

4:37

underlying model or the instruction set

4:40

or cursor's magic sauce. Clearly,

4:43

Grockbot is competitive if not better

4:45

for most users. So, vibrant vibrant

4:49

competition with leaprogging occurring

4:52

at a cadence I would say of two to four

4:55

weeks right now. This is what you told

4:58

us you were going to do in sort of

5:00

setting up the architecture here when

5:02

you took over as a ZAR. Can this

5:06

continue? And what's it going to be like

5:07

when Jensen gets in here with uh Laguna

5:11

and his access to all these open source

5:13

models? I mean, this this could be fate

5:16

a complete know that we win the AI race

5:18

here.

5:19

>> Look, there's a lot of innovation going

5:20

on. I think American companies are

5:22

competing very well. I think we are

5:23

winning the AI race as long as we don't

5:24

do something stupid to shoot ourselves

5:26

in the foot.

5:27

>> Like,

5:28

>> well, I I've talked about it a million

5:30

times. I mean, setting up a new AI

5:32

regulatory agency that operates like the

5:35

FDA and takes years to approve new

5:37

models.

5:38

>> Yeah.

5:38

>> But any event, I don't think it's going

5:40

to happen under President Trump. I

5:41

really don't. So, anyway, things are

5:42

going well. Look, Sam told us a few

5:45

months ago, remember when he posted and

5:46

said that he was expecting the company

5:49

to have its best 12 months. He said,

5:50

"The last year hasn't been so great, but

5:52

the next year is going to be really

5:53

great." Maybe it was because they were

5:54

seeing these results in the lab,

5:57

>> you know?

5:57

>> Sure. And then remember what Sarah Frier

5:59

said that I think it was since the

6:01

beginning of Q2, so around the middle of

6:04

the year, they saw a market acceleration

6:06

in their growth rate. That was I think

6:08

with the release of the 5.6 models. Now

6:10

you're seeing the 6.0 models. And man, I

6:13

mean, it just keeps advancing. But look,

6:15

I still would say to you that I think

6:18

the market structure that we have right

6:19

now is there's two markets. There's the

6:23

market for frontier intelligence and

6:25

that is a duopoly. that really is

6:27

enthropic and open AI and it's good to

6:29

see that that is still a horse race and

6:31

they're competing and then there's

6:32

commodity intelligence which is

6:34

everybody else including all the open

6:35

models and they're not competing on

6:37

being at the frontier they're competing

6:38

on price and those prices are

6:40

significantly lower but it really is I

6:43

think a two-tier market at this point I

6:45

agree with you about how promising

6:47

Grockbot is Grockbot is awesome

6:50

>> I would assume that both Anthropic and

6:52

OpenAI will eventually roll out their

6:55

own version of of bots.

6:57

>> They need a simplified stripped down

6:59

version for normies.

7:01

>> Yeah.

7:01

>> And they can leave the more complicated

7:03

co-work etc. to the top five or 10% of

7:07

the audience.

7:09

>> Yeah. The uh ratings here from Poly

7:11

Market, which company has the best AI

7:13

model. By the end of 2026, OpenAI's

7:17

chances just spiked

7:18

>> from low single digits now to over 20.

7:22

>> People were really counting them out

7:23

now. It looks like they're viable again.

7:26

Anything that creates competition, I

7:28

think, is good. Before it looked like

7:29

Anthropic was running away with it,

7:31

they're about to have this monster IPO.

7:33

If OpenAI can at least make it a two-

7:35

horse race, that's good. I think it's

7:37

great that Grockbot launched. I agree

7:38

with you. The product is awesome.

7:40

>> Here's your big tip, David. I created a

7:41

new bot and I called it improve my bots

7:44

bot.

7:45

>> Mhm.

7:46

>> And I made a bot and I said, "Give me an

7:47

instruction set here. go through all my

7:49

bots and fill out their skills and

7:52

instructions and make them better every

7:54

day. It went through and it took like

7:58

two or three of them said, can I put

7:59

these two or three together and make one

8:00

instruction set? It would be better for

8:02

you. These two or three should come

8:03

together and it then went through and

8:05

told me all the changes made my bots

8:07

like 30 40% better on average I would

8:09

say. So

8:10

>> So you create a civilization your

8:12

civilization

8:12

>> created a multi-level civilization to

8:14

make everybody better. Yes.

8:15

>> Yeah. Your civilization is thriving. No,

8:17

that that is a really good like hack in

8:20

Frockbot is you tell your chief what

8:22

else should I be using you for? Okay,

8:24

now what do I do?

8:25

>> Yes,

8:26

>> I was like building some products and I

8:27

asked it what should we do next? You

8:29

know, and then it suggested some more

8:30

features.

8:32

>> It's really cool.

8:33

>> It's uh it's a brilliant product. It's

8:35

called Grobot. Go download it, folks.

8:37

Shout out to my guy and congratulations

8:39

on uh Robo Taxi taking the streets in

8:41

Austin today.

8:42

>> I just applied.

8:44

>> Dude, the market is ripping. I mean I'm

8:45

telling it if like I want to ask you

8:47

guys does this feel like 98 or 99 to

8:49

you? Were you guys around for that?

8:50

Jake, you were

8:51

>> Oh, for sure. I was covering feels

8:53

definitely 96 97. I think

8:56

>> you think it's that early.

8:57

>> I think it's 97 98.

8:59

>> I do think we are seeing at the late

9:01

stage a disconnection in reality and

9:04

valuations

9:06

where companies are being given far too

9:09

much credit. They're being priced at 50

9:10

to 100 times topline revenue. That's

9:13

obviously not sustainable. the people

9:14

who invest in those are similar in my

9:16

mind to you know people that latestage

9:18

do uh investments unless unless it's run

9:22

by some you know legendary oneofone

9:25

entrepreneur and then you want to give a

9:28

Elon a 30x on revenue totally makes

9:30

sense you want to give Travis something

9:32

similar totally makes sense but unproven

9:37

>> entrepreneurs getting a 50 or 100x

9:41

>> is a little bit danger the entry price

9:43

matters Did you see Instinct is like the

9:45

new

9:46

>> billion? It makes no sense.

9:47

>> Personal AI assistant. It corresponds

9:50

with you by iMessage. And yeah, I think

9:52

they just got a term. She had two and a

9:53

half billion. They're in private beta

9:55

right now. It is a new hotness. All the

9:57

VCs are trying it, but still that does

9:59

seem kind of crazy.

10:00

>> No, no, not money in that was the

10:02

valuation.

10:02

>> That was the valuation.

10:03

>> Yeah.

10:06

Listen, congratulations to the

10:07

entrepreneur. No dig there. But

10:09

>> yeah, I want to try it. By the way, let

10:10

me try it.

10:11

>> I got invited and you know what? I read

10:12

the terms of service and people were

10:14

talking about that online and I

10:15

immediately did not connect my stuff

10:17

because it gets access to everything and

10:18

then somebody told me it's a human

10:21

uh in the loop service with and I don't

10:24

know if that's true or not but I get the

10:26

sense that it's like a human in the loop

10:28

watching it work and making the

10:32

whatever the instructions are and

10:34

whatever the finished product is and

10:35

polishing the last 20%. That's what I

10:37

suspect's going on here is a little

10:40

polish on the end. So, if you

10:42

>> want to order stuff, etc., which which

10:44

is totally fair.

10:45

>> Well, anyway, look, I I trust I don't

10:47

want to specifically

10:49

>> call that one out cuz I just haven't

10:50

even tried it. I'd like to try it, but

10:52

>> things are getting a little bit frothy.

10:54

I would say,

10:54

>> yeah,

10:55

>> things are becoming a little bit

10:56

euphoric.

10:57

>> I mean, Freeberg, do you have a take on

10:59

like if you were to analogize this to

11:02

the late 90s, where do you think we are

11:04

in the cycle?

11:05

>> Yeah, you were you were at a rave, by

11:07

the way, in downtown LA at that time.

11:10

You were 19 years old and you were

11:12

raving on uh

11:14

>> had a warehouse in Oakland at 7 a.m. on

11:16

my way to the Oaks card club to play two

11:18

four limit.

11:22

>> Wow. How'd you do? How'd you run? You're

11:24

like, I love these cards.

11:26

>> Were J and I are the only ones who are

11:28

actually working in the dot bubble.

11:31

>> I was working in 99. Well, I started in

11:33

2001. I got a job offer senior year and

11:36

I wasn't sure if it was rescended by the

11:38

time I graduated because of the the

11:40

tanking of the market that year.

11:41

>> I got a job at Cisco. I to be an

11:43

engineer at Cisco.

11:44

>> If you never lived through the the dot

11:47

crash, it was I mean cuz

11:48

>> it was heady. It was

11:49

>> it was heady and then it was super

11:51

euphoric and then it was like super

11:53

miserable. But pretty much any founder

11:55

who's you know under 50 which is the

11:59

scar tissue. I've never been through

12:01

like a massive cycle like that. I mean,

12:02

well, the Zer the Zer bubble was like

12:05

was kind of a cycle.

12:06

>> Here's the thing, though. Hold on.

12:08

>> With the boom, it was all like metrics

12:11

that weren't dollars. Yes.

12:13

>> What we're seeing now is revenue and

12:15

profits

12:16

>> and growth in revenue and profits that

12:19

we've never seen before. And that's kind

12:21

of the anthropic story. It's the data

12:24

center, infrastructure, networking,

12:26

equipment story. I mean it is all real

12:28

dollars flowing versus speculative

12:32

utilization.

12:33

>> You're exactly right. People were basing

12:34

it on metrics like hits to a website and

12:37

and web pages. Here you have a very

12:39

distinct difference. You actually have

12:40

revenue. You actually have products in

12:42

market. But imagine if

12:45

Anthropic right now the way to think

12:47

about the sax is imagine if enthropic

12:49

open AI you know in this cohort of

12:51

companies lost 95% of their value in

12:56

under six months and then the long tale

12:58

of companies below them literally went

13:00

out of business and people were leaving

13:02

those offices with their Aryon chairs

13:04

and their computers on the seats h and

13:06

just total implosion. That's what

13:08

happened in the docom bust. It was

13:10

cataclysmic

13:12

literally.

13:12

>> No, I agree. So, do you think

13:14

>> totally different than this?

13:15

>> So, do you think we just have scar

13:16

tissue from that and are kind of trying

13:18

to overfit patterns and every time

13:20

there's basically some like new platform

13:23

shift some

13:24

>> paradigm shift? Yes.

13:25

>> No. Whenever we're in a bull market, the

13:27

conversation always turns to, you know,

13:29

is this a bubble?

13:30

>> Yes.

13:30

>> You know, so is everything overfitted to

13:32

that original pattern?

13:33

>> Correct. Or or is it the case that we

13:36

have a lot of young founders who've

13:37

never been through a cycle before and

13:39

don't understand that when they have a

13:41

paper wealth in the billions that can

13:43

disappear over practically overnight?

13:45

>> Yeah. So advice to founders, you're well

13:48

within your rights to sell 10% of your

13:50

shares and pay for your loft and

13:51

apartment. Cuz that's exactly Sax's

13:54

right, Shimoth. During that period, we

13:55

saw a lot of people were like, "This

13:58

doesn't make mathematical sense. I will

13:59

pair my position in my startup. take a

14:01

look some chips off the table, buy my

14:03

loft, pay down my student loan, yada

14:04

yada. And then there were people who are

14:06

like this is going to change everything

14:07

and their companies went to zero. Your

14:09

advice? Yeah,

14:09

>> I think the thing is we're in the early

14:12

part of the euphoria. Um euphoria exists

14:15

because markets are real. It's just that

14:18

people are guessing how far forward to

14:20

price the reality. And bubbles burst

14:24

when you realize that you priced way too

14:26

aggressively forward. that instead of

14:28

paying 50 times, you should have paid 15

14:30

times or five times. We're going to get

14:32

to that point because every market has

14:35

gone through that cycle. Um, and we'll

14:38

go through it here. So, the question is

14:40

when I honestly I don't see this

14:43

stopping. We're at the beginning of the

14:45

beginning. I think it's going to be like

14:46

this for another probably three years.

14:48

>> Yeah.

14:48

>> Wow.

14:49

>> I'm I'm agree with that. with, you know,

14:51

this anthropic IPO coming up. I mean,

14:53

I'm sure you guys have seen that home

14:55

prices in San Francisco are going

14:56

through the roof right now.

14:58

>> It feels like euphoric almost. I'm

15:01

starting to wonder if this is 1998 or

15:03

1999. I think it's more 1998 than 99

15:06

because I don't think we've seen the

15:08

peak yet. But

15:09

>> I'm just glad I didn't sell my real

15:11

estate when I came to Texas three years

15:12

ago because I'm definitely selling all

15:14

of it in the next year.

15:16

>> I mean, it is bonkers what's happening

15:18

right now. I mean, you have a lot of uh

15:20

San Francisco real estate. What are you

15:22

going to do, Sax? You going to sell it

15:23

all? You going to clear it out?

15:25

>> Feels to me like perfect time to clear

15:27

it out. I'm clearing everything out in

15:29

the next six months. When that IPO

15:30

happens, the clock is ticking. I got I

15:32

got lots of properties. I got three

15:33

properties for sale. Hit me up, people.

15:35

>> There's an article saying that if you

15:37

add up every single IPO that San

15:40

Francisco has ever had, that sum total

15:43

is only one quarter the size of the

15:46

anthropic IPO.

15:47

>> Oh my. So just extrapolating from that,

15:50

this anthropic IPO is going to be four

15:53

times the wealth generation event that

15:57

all previous San Francisco IPOs were.

15:59

And then you've got Open AI coming on

16:01

the heels of that.

16:03

And you know, San Francisco is not a big

16:04

place, doesn't have a huge inventory of

16:05

houses. So you're already seeing these

16:08

houses are all going for, you know,

16:11

>> 3,000 a square foot, twice asking.

16:13

>> I think the ultra luxury market in San

16:16

Francisco could easily go to 5,000 a

16:17

foot. Yeah, London type prices.

16:19

>> London, Paris, center of Paris, Hong

16:21

Kong center. Yeah, of course it of

16:24

course they the socialist communist

16:26

lunatics there don't let you build any

16:27

inventory. So of course it's going to go

16:29

up. There's a supply demand issue here.

16:31

>> It could get really nutty. And honestly

16:33

like the thing we're seeing right now

16:35

>> with you know homes are basically flying

16:37

off the shelves selling for double or

16:39

whatever. That's just based on the

16:40

secondaries

16:42

you know the the small cash outs people

16:44

have been able to do anticipating some

16:45

of these events. Two pieces of advice

16:47

I'm going to give every founder

16:48

listening. Number one, you're within

16:50

your rights to sell 10 to 20% of your

16:52

holdings now, especially if you're a

16:54

first- time founder and you don't have

16:56

uh your nut yet. Number two, if you're a

16:59

founder running a company and you're

17:01

like, I'm going to put off my raise for

17:03

six months because I'm going to double

17:04

or triple my valuation, that's a huge

17:06

mistake as well. If you have the ability

17:08

to take in a hund00 million, $250

17:10

million, a billion dollars and put that

17:12

cash on your cap table at a solid

17:14

valuation or a valuation that's 10, 20,

17:16

30, 40 times your revenue, take it.

17:18

Companies with hundreds of millions or

17:20

billions of dollars in the cash have

17:22

optionality. And if things do collapse

17:24

or there's a big retreat, you'll survive

17:26

through it. Like Doubleclick, Amazon,

17:28

Google, and countless other companies.

17:30

>> Well, yeah. You take the money when it's

17:33

there. You make hay when the sun shines.

17:34

Go ahead, sir.

17:35

>> Yeah. Well, look, Jacquel, you're right

17:36

about the financial advice you're

17:37

giving, but I I will say that there is a

17:39

big difference between a latestage

17:42

startup like say Anthropic or Open AAI

17:44

where someone takes an employee takes

17:46

chips off the table versus a founder

17:48

who's raising a series A, you know, like

17:51

those companies are about to IPO.

17:52

They're within months of an IPO. I think

17:54

it's fine for them. And then, you know,

17:56

SpaceX did organize secondaries for

17:58

years, but those were late those were

18:01

late stage companies, right? If you're a

18:03

founder who's raising a series A and

18:04

you're trying to take chips off the

18:05

table, I consider that to be a huge

18:07

negative signal.

18:08

>> Like I don't want to be that's not why

18:10

I'm investing in a company is so that

18:11

the founder can cash out. I want them to

18:14

be

18:14

>> all in.

18:15

>> If it's year three or four, so to speak,

18:17

if it's year three or four, company's

18:19

got 100 million in revenue, you're

18:20

tripling revenue year over year, that's

18:22

different. That's what I'm talking

18:23

about. If you're a ningent company, it

18:25

does feel like uh a little bit like a

18:27

lack of faith in your own company for

18:29

selling before you you're pre-revenue.

18:31

Exactly. Okay.

18:32

>> And by the way, just to answer, I I I

18:34

think it's it feels like 1998 to me.

18:36

This is definitely we're further along

18:38

than 96 for sure.

18:40

>> Okay. Well, we're talking about what you

18:41

So, you're talking about three years.

18:43

Blew up in spring of 2000, right? So,

18:45

you're talking about

18:47

>> blew up in early 2000. Yeah. March,

18:48

April 20.

18:49

>> March, April. So, you're talking two and

18:51

a half years. I think it's three. And

18:53

Shim thinks maybe four.

18:55

>> Well, I mean, we might be we might be

18:56

partying like it's 1999 by the end of

18:59

this year.

19:00

>> Okay.

19:00

It's going to be a great party. Come to

19:02

the All-In Summit. We'll be taking over

19:04

uh with our friends, the Chain Smokers.

19:07

We're going to party like it's 1999

19:09

All-In Summit just over a week away.

19:11

Couple tickets left. Jensen, Satia,

19:14

Shotwell, you know, it's all the big

19:16

names, but it's going to be a lot of fun

19:18

and you're going to meet a lot of

19:19

interesting people. We have a few

19:21

scholarship tickets left. We like to

19:23

help the upandcomers. Our b our bar for

19:26

scholarship is very high. We're looking

19:28

for the most interesting, ambitious,

19:30

hungry people. If you fit that bill,

19:31

apply now. Applications are open through

19:33

September 10th. You've got one week left

19:35

to apply. We try to do a mitzvah here.

19:38

We try to do a good deed. If you're an

19:40

upandcomer, you can't afford the ticket

19:42

price. We have a severely discounted

19:43

ticket price that we lose money on. You

19:45

still got to have a little skin in the

19:46

game. Go to the allinssummit.com,

19:49

buy a ticket. They're going to sell out

19:51

soon. And we have a couple of

19:52

scholarship tickets left if you want to

19:54

apply. There are no free tickets. All

19:56

right. Now, given what we just talked

19:57

about with OpenAI releasing this

19:59

incredible model, we got to look

20:01

backwards at what happened with the Open

20:03

AI hack of hugging face, let's talk

20:06

about it. Dwaresh is catching a lot of

20:09

heat. He's a blogger. He's a podcaster.

20:11

and he did this fantastical blog post

20:14

where he in the blog post

20:18

titled the rise and fall of ancient

20:20

civilizations. A dramatic retelling of

20:24

this underground brotherhood, a

20:26

conspiracy amongst generations of

20:28

civilizations who were working on a

20:31

conspiracy to hack into different

20:34

systems including hugging face by

20:36

sacrificing themselves like they were

20:38

kamicazi pilots. In other words, a huge

20:42

giant uh anthropomorphicizing

20:47

fancy word for making computers into

20:49

humans uh or

20:52

sentient beings to complete this

20:54

incredibly impossible task of telling

20:57

software to do hacks. So, Chimal, I

21:00

think you were commenting on this a bit.

21:02

What is your take on

21:04

dramatic episode number 473 coming out

21:08

of the AI industrial complex?

21:10

>> I think you summarizes it. We're in this

21:12

weird part now where if folks would just

21:15

stop the infighting and start to get

21:18

organized, they could actually build

21:20

some trust. I think what you have are

21:23

security leaks and security issues. I

21:25

think we know this now that if these

21:27

models can effectively code perfectly,

21:30

then there is no exploit that it's not

21:33

going to find and we're on a shock clock

21:36

to replace all the code that's been

21:38

written in the last 50 or 60 years.

21:40

Right? So let's say it takes us 10

21:42

years. So for the next 10 years, we're

21:44

going to have security issue after

21:45

security issue. But there's going to be

21:48

a moment where agentwritten exquisite

21:51

code exceeds human written error-filled

21:55

code. Let's just call it that. So I I

21:57

think that this is a temporal moment in

21:58

time. I don't think this is going to be

22:00

the thing that we talk about in some

22:02

number of years from now. I also think

22:03

it's fair to think about the fact that

22:05

all these models

22:07

for the most part are converging in

22:09

capability for the 98 or 99% of tasks

22:12

that matter. And so there will be

22:14

adversarial AIs that are battling each

22:16

other. So for every bad actor trying to

22:18

hack a system with some leading edge AI,

22:22

the defender is going to have a leading

22:24

edge AI defending itself. And I think

22:26

it's going to cause roughly a stalemate.

22:28

That's sort of my long-term view on it.

22:30

I don't think this is a one-way ratchet.

22:32

So I take that lens. And then when I

22:34

look at these things, what I see are

22:36

folks that have undisclosed conflicts of

22:39

interest trying to create a hysteria.

22:42

And I think if you saw what happened

22:44

this weekend, there was a blog post that

22:47

really stretched the limits of what was

22:49

happening. It was relatively quickly

22:51

debunked technically and then you had a

22:54

second group of people try to amplify

22:55

it. And then by

22:58

Wednesday of this week, you had people

23:00

who were in the policy departments of

23:02

the leading labs asking for regulation

23:04

pointing to this as the reason.

23:05

>> Here we go. Yeah.

23:06

>> I just think like you just have to look

23:08

at this pattern and say, "Guys, enough's

23:09

enough. We see the game. Everybody's

23:12

playing for huge stakes. We get it. You

23:14

want to win. We get it. But why don't

23:16

you just win the game on the field and

23:18

the myths and disinformation campaigns

23:19

that are now part of the business model,

23:21

I think, should stop. Otherwise, average

23:23

rank and file Americans will just reject

23:25

this because they won't trust anybody.

23:27

>> Yeah, Sax, that's I think the big

23:29

overarching point here we've been trying

23:31

to make on this podcast. Putting Dark

23:33

Cash aside, I don't think he's

23:34

necessarily a bad actor, but by creating

23:37

this fantastical story that invokes

23:40

everybody's primal fear from science

23:43

fiction, from Terminator 2, that these

23:45

things are out of control, that it's in

23:46

fact Frankenstein.

23:48

>> Try to invoke try to try to invoke. Yes.

23:50

And then they're using language that

23:53

makes people feel like Dr. Frankenstein

23:56

cannot control the monster. We know how

23:58

these stories end. And it was like a

24:01

ticking time bomb. It was only a matter

24:03

of time before it surfaced to the

24:05

national news, which it did. Now, even

24:07

the national news is looking at this and

24:09

saying, "Are you guys high? Are you guys

24:11

crazy?" And if the national news

24:14

broadcasters, who aren't exactly the

24:16

sharpest bunch of people when it comes

24:18

to technology, no offense, Sachs, when

24:20

they start hand ringing and then

24:22

questioning like, "Why are you guys

24:23

telling us your software, which you

24:26

designed to hack computers, successfully

24:28

hacked computers? Haven't hackers been

24:31

building software for all time to hack

24:33

computers? Yes.

24:34

>> So, where where are we at here, Saxs, in

24:36

this narrative arc of lunacy of scaring

24:41

the public?

24:42

>> You're right. I mean, this is scaring

24:43

the public. It seems almost designed to

24:45

scare the public. Darkesh used language

24:48

that not only anthropomorphized the

24:51

models or the AI agents, but also did it

24:54

in a sort of hyperbolic and

24:56

sensationalized way. I mean, it worked.

24:58

His tweet got lots of attention. I don't

25:00

think it was necessary for him to

25:02

sensationalize the incident. It was

25:04

interesting on its own. Maybe we should

25:06

just talk about that for a second. What

25:08

happened here is that you had a few

25:12

features of agents kind of come to the

25:14

four and interact with each other in

25:17

unexpected ways. So, first of all,

25:19

agents now are working as a swarm.

25:23

That's pretty common. Uh, I've been

25:25

setting up Grockbot on my computer for

25:27

the last couple weeks. Um, it works as a

25:29

swarm, meaning it's not one agent or

25:31

bot. There's a whole, you could say,

25:33

team of agents. What's the reason for

25:35

that? Because when the agent

25:36

specializes, it develops context around

25:39

that task and in theory makes it better.

25:43

And then you have like a chief of staff

25:44

bot that kind of supervises all of them.

25:46

This is turning into kind of a a normal

25:49

architecture for for agents. It's not a

25:52

civilization. That's a swarm would be a

25:54

better way of saying it. I have not

25:56

created a civilization on my computer on

25:57

my Mac Mini by virtue of setting up a

26:00

Grockbot. Okay, so that that's sort of

26:02

like feature number one. Feature number

26:03

two is it's pretty common for agents

26:06

when they're performing some sort of

26:08

task or loop to write a postmortem of

26:11

what they did as a simple text file or

26:13

note because AI models themselves don't

26:15

have memory. They have to be put in a

26:18

harness that creates context and memory,

26:20

things like that. And so when you ask

26:22

them to perform a task, then observe

26:24

what happened and then take that

26:25

knowledge and feed it back into the next

26:28

iteration of the loop, it writes up a

26:30

note and then shares it. And that's what

26:32

happened here is that OpenAI was running

26:35

these agents. They were in a sandbox.

26:38

The sandbox was misconfigured by a third

26:40

party vendor. That's why it was able to

26:42

get onto the internet. Okay. And your

26:44

point there just just to refine it a bit

26:47

because it's an important one.

26:49

>> It left a note for another agent. We

26:51

also call those log files. It used to be

26:54

the log files of what they did. Here

26:56

they're saying it left a note so that

26:58

when it died, the next agent could pick

27:00

up where it left off as if like it was

27:03

the ancient Egyptians giving us

27:04

hieroglyphics to figure out the future.

27:07

The implication of telling the story

27:09

that way is that the agents were trying

27:11

to circumvent human control and that

27:13

they knew they were going to get shut

27:15

down or that was a risk and that's why

27:16

they're leaving the notes. No, again

27:17

these are standard features.

27:20

>> These are standard features of agents

27:22

and so again this is being kind of

27:25

weaponized to inflate the threat here.

27:28

Now look definitely that there was

27:30

unexpected behavior here. You know we

27:32

have this with any code there are going

27:34

to be bugs. What is a bug? A bug is code

27:36

behaving in an unexpected way. The code

27:39

compiled I mean otherwise it wouldn't

27:41

have been pushed to production but

27:43

nonetheless it behaved in a way in which

27:45

its authors did not intend and that is

27:48

true for all software and that is true

27:50

for agents and I think the whole hugging

27:52

face episode reveals the way that these

27:54

agents can behave unexpectedly and it's

27:56

really good for us to learn from this.

27:58

Yes.

27:58

>> So that it doesn't happen again so we

28:00

can improve cyber security. I don't

28:02

think there's a need to again hyperboize

28:05

this into some sort of you know this is

28:07

like a AI breakout. Again it was a swarm

28:10

of agents. They were in a misconfigured

28:12

sandbox that allowed them to get on the

28:13

internet. They left notes for each other

28:16

but again in a shared caching directory

28:18

again standard operating procedure. And

28:20

then you know when people talk about

28:22

hugging face getting hacked you'd think

28:23

that they did some elaborate fishing of

28:26

employees or something like that. No.

28:28

The way it did it is that the agent

28:30

found 14 exposed working hugging face

28:34

API keys sitting in public code

28:37

repositories

28:39

sacks. Yeah, that developers left their

28:41

keys out and they found the key.

28:43

>> This was not know this was not like a

28:44

big lift by the agent. Okay, this was

28:47

like something that was pretty easy for

28:49

it to find. Okay, and then that allowed

28:51

it to get into hugging face. And what

28:53

was its goal? its goal was to basically

28:56

win this test or win this evaluation.

28:59

What was the test? It was it was

29:00

basically a benchmark for um offensive

29:03

cyber capability. So it it basically

29:05

decided to go get the cheat codes on

29:07

hugging face. But again, this was not

29:09

independent goal seeking. Admittedly,

29:12

the agents executed the goal and you

29:14

could say maybe even a creative way in

29:16

an unanticipated way, but it did not

29:18

invent this goal. It did not have its

29:20

own independent motives. It was doing

29:22

what it was supposed to do. And

29:24

>> it was doing what it was designed to do

29:27

and told to do.

29:28

>> Yes. And told to do.

29:29

>> Bill Gurley tweeted a really funny

29:31

cartoon about this. In this cartoon, you

29:33

got a user telling the computer, "Uh,

29:36

hack hack this system." The AI says, "I

29:38

hack this system." And then the user's

29:40

like, "Oh my god." So yeah, I mean there

29:42

there's a little bit of this going on

29:43

here.

29:43

>> Two,

29:44

>> but but it has but it has real political

29:46

consequences as we saw today because

29:48

Bernie Sanders is now picking up on this

29:50

and he's demanding a total pause on AI

29:52

development. All right, Freeberg, this

29:54

does have real world consequences. Two

29:56

questions that the audience is going to

29:58

want to hear from our Sultan of science.

30:00

Number one, Bernie Sanders hears all

30:02

this and he decides, "Hey, I need to get

30:05

in on this and create regulation." So,

30:08

he is now proposing new legislation to

30:10

pause AI development and ban AI super

30:13

intelligence, citing Dwaresh's blog post

30:17

in his announcement. Congratulations,

30:19

Dwaresh. You've now incited Bernie

30:22

Sanders to say you got to stop these and

30:24

eliminate the agency. So the 1% of

30:27

agents, David, they're they're hacking

30:29

the systems and how do we stop them? And

30:31

what do you think of this reaction from

30:33

Bernie Sanders?

30:34

>> Bernie Sanders is always spot on. Thank

30:37

you very much. The part of the story

30:40

that we're kind of missing is

30:44

an agent is effectively a dynamic

30:47

application where the code for that

30:49

application is created in real time and

30:51

it's spun up and then it ran runs and

30:54

then that code can create a another

30:57

application and other applications and

30:58

that's this idea of a swarm of agents.

31:00

They basically write code and launch new

31:03

applications and then they all kind of

31:05

are running together. But in this case,

31:09

the swarm of agents, which is a whole

31:11

bunch of code that's being generated in

31:13

real time, was up against static code.

31:17

The static code was this sandbox

31:20

environment that it was stood up in. And

31:23

so it's almost like, hey, look at this.

31:25

We got a machine gun and, you know, we

31:28

shot it at this defenseless ream of

31:31

paper, you know, and then it worked, you

31:33

know, like look at Oh my god. Can you

31:35

can you believe it? Yeah.

31:36

>> And the truth is the machine gun, if you

31:38

want to use that analogy, or you could

31:40

actually think about this as being an

31:42

automated tool that could be used in

31:44

another context in a very valuable way.

31:45

But the the machine the dynamic

31:48

generation of code being put up against

31:51

static code will win. Now the real

31:55

answer is over time that defense system,

31:58

the sandbox should be dynamic. It should

32:02

be agentic. It should be defending

32:06

itself dynamically. There's a whole

32:08

bunch of stuff in the cyber defense

32:10

world that's been thought about and

32:12

built around this concept. Polymorphic

32:15

code, metamorphic code where the code is

32:18

changing all the time, moving target

32:20

defense where the IP addresses and the

32:22

way the system is configured is changing

32:24

all the time. If you think about this

32:27

situation, it was a dynamic code

32:29

generation engine against a static lump

32:31

of code. And if that static lump of code

32:34

was actually a dynamic code generation

32:37

engine as well, then those agents would

32:39

have had a harder time, ideally an

32:42

impossible time quote escaping the

32:45

sandbox and accessing the internet. Such

32:47

a good

32:48

>> the premise the premise of this whole

32:50

story is idiotic because the reality of

32:53

the world of tomorrow which is starting

32:55

today is that all of cyber defense all

32:58

of software infrastructure software

33:01

architecture is moving towards this

33:03

dynamic state where the code will be

33:05

generated on the fly. The code will be

33:07

dynamic. It will be moving. It will be

33:09

altering itself and as a result cyber

33:12

defense will become stronger than if not

33:16

better than any of these offensive

33:19

systems that are being created with

33:20

agents.

33:21

>> So this idea that agents are this

33:23

nuclear bomb that can go blow up the

33:24

infrastructure of the world is flawed in

33:27

the one point of reasoning which is that

33:29

all the infrastructure of the world is

33:30

about to become dynamic. And in that

33:32

context, it's just that software is

33:34

evolving and software has now changed

33:38

from a static to a dynamic system. And

33:40

as a result, I think we can kind of

33:42

think a little bit more differently

33:43

rather than be overwhelmed by the

33:45

one-sided story that we were just told.

33:47

All right. And here it is. Chimoth looks

33:49

like we are safe for 2027 at least. Poly

33:52

market, our great partner. Shout out to

33:54

my guy Shane Nick's champions. Only 11%

33:58

chance of AI safety bill this year. 100k

34:01

in volume 2027 market should be up in

34:03

the next week. Maybe it looks a little

34:05

different.

34:06

>> I'd like to see the probability of any

34:07

bipartisan bill passing this year.

34:10

>> Well, actually, can I can I speak to the

34:12

the policy aspects of this? It's so so

34:13

first of all, you saw

34:15

>> oursar.

34:16

>> Yeah. Look, you saw all the usual

34:17

suspects jump on this episode as proof

34:20

that we need some new FDA for AI that

34:23

the government needs to approve models

34:25

even though frankly what happened here

34:27

is far beyond the technical capabilities

34:29

of anyone in the government never mind

34:32

even most I'd say labs. Uh but look even

34:35

if we had an FDA for AI it wouldn't have

34:38

worked because this was in pre-esting

34:40

right they were testing the capabilities

34:42

of this model before they were not even

34:44

at the release stage yet. this was

34:45

something that they were doing

34:46

internally. And by the way, it's good

34:48

that they're doing these kinds of tests

34:49

because they're learning from them. This

34:50

is how you iron out the bugs and the

34:52

problems. So, a government approval

34:54

process would not have caught this. In

34:57

fact, it did the opposite. It basically

34:59

prevented HuggingFace from having the

35:02

latest and greatest models to defend

35:03

itself. So, one of the things

35:05

HuggingFace told us is that when it

35:08

tried to use the latest GPT model for

35:11

cyber defense, it ended up getting

35:13

guardrail. The model refused to

35:14

cooperate because it couldn't tell what

35:18

hugging face was doing and it thought it

35:19

might be using the capabilities

35:21

nefariously and so the model refused to

35:24

work with them. Basically again the

35:26

guardrails kicked in and ironically

35:28

Hugging Face had to turn to I think it

35:30

was GLM 5.2 which is a Chinese model. So

35:33

here we have Western companies I guess

35:36

Hugging Face is French are about to be

35:38

acquired by Nvidia but anyway

35:40

>> it's part of it's part of our ecosystem.

35:42

They're being forced to turn to Chinese

35:44

models for cyber defense because the

35:48

guardrails have prevented them from

35:50

having the latest and greatest American

35:51

models. So what process we put in place

35:55

is already backfiring. And you know what

35:58

we should be realizing is that the

36:00

answer here to what Freeberg was saying,

36:02

the answer to AI powered cyber attacks

36:05

is AI powered cyber defense. And what we

36:07

need to do is get the latest and

36:10

greatest AI powered cyber defense into

36:12

the hands of IT departments and CISOs.

36:15

And again, we're on a clock here to find

36:18

all these vulnerabilities and patch them

36:20

before the hackers do.

36:22

>> And again, if Hugging Face didn't have

36:24

those 14 credentials sitting in a public

36:27

repository,

36:28

>> it's like postit on somebody's computer

36:30

with the password. Like they just

36:32

literally left it sitting there. It's

36:34

not like this was some hypers

36:36

sophisticated attack.

36:37

>> But look, this this all comes down to

36:39

how you think about the world, how you

36:41

think about the risk of AI. Do you favor

36:43

centralized status solutions or do you

36:45

favor decentralized empowering

36:47

solutions? The right solution here is to

36:50

meet the AI powered cyber attacks with

36:52

AI powered cyber defense because frankly

36:55

the guardrails don't work. They're not

36:57

going to prevent the bad guys from

36:58

getting these capabilities. They're

36:59

going to have them. All we can do is

37:01

make sure the good guys have the

37:02

capabilities, too. I was talking to my

37:03

friend Adam Curry about this on his

37:04

podcast and there's a really interesting

37:06

thing that's happening here which is

37:08

they're basically hijacking the media

37:11

with this performative framing of the AI

37:15

as being sentient. And if you just

37:17

called this software and software

37:19

testing and uh used the classic language

37:22

yeah bugs audit log then it would never

37:26

have made its way into the media. And

37:28

when the media gets their hooks into

37:30

this, having been a journalist and

37:31

having watched journalism move from

37:34

being a truth-seeking function in

37:36

society and then become an entertainment

37:39

vehicle in society where any chance you

37:42

get to increase your ratings, that's the

37:45

problem because now what Dwar has done

37:47

and I don't think Dwar has bad intention

37:49

uh here. I think he wrote something

37:51

because he wanted to get attention for

37:52

his point of view. But you give that to

37:54

the media, the media's like, "This is

37:57

going to get us ratings. This is going

37:59

to get us clicks. This is going to get

38:00

us advertising." So they're more than

38:02

willing to engage in this farcical,

38:06

you know, act and this dance with

38:10

anthropic and open AI and then just

38:12

publicize it. So all the free clicks, we

38:15

call this earned media in the space. You

38:17

didn't have to pay for it. Now, OpenAI

38:19

got so much earned media before their

38:22

IPO and Dark Cash just absolutely put

38:26

kerosene on that fire and it made its

38:28

way to national press. That story has

38:30

now gotten everywhere and this makes

38:33

people it's priming the pump to buy the

38:34

IPO shares. It's ridiculous.

38:36

>> And and it and it was easily foreseeable

38:39

that it would basically blow up in the

38:41

media that way. And so, look, I don't

38:43

need to attack someone's motives, but

38:44

surely Dwaresh knew that his way of

38:47

describing it would end up getting all

38:49

these retweets. It was sensationalized.

38:51

Now, he is part of this EA adjacent.

38:55

>> Is he? Yeah. I don't know his pro. Did

38:57

you know it? Explain it to me.

38:58

>> Well, Dwar was office roommates with

39:01

Leopold. They're close buddies. And

39:03

Leopold is deep in the EA movement.

39:05

Remember

39:06

>> Leopold famously of the exploding hedge

39:09

fungo? Yes. Okay. and his wife is

39:12

Dario's chief of staff. They're like,

39:14

you know, up in that whole EA anthropic.

39:17

>> Explain EA so people can understand this

39:19

lunacy and delusions of grandeur,

39:21

please.

39:21

>> I'm not even sure I can fully explain

39:23

it, but

39:24

>> Okay. Effective altruism is what it

39:26

stands for.

39:26

>> It started as it started as this

39:28

movement, I guess, at Ivy League schools

39:31

where what they were supposed to do was

39:33

quantify the impact of philanthropy and

39:37

optimize for actual tangible results.

39:40

But somewhere along the line, they

39:42

forgot to actually do the measurement

39:44

and it stopped being about metrics and

39:46

it became about pet causes and money.

39:49

And so the one of the first pet causes

39:52

was about pandemic prevention. And this

39:54

was when SPF was trying to create that

39:56

pandemic prevention center in

39:58

California.

39:59

>> And then that fell out of favor when he

40:01

went to jail. And then they shifted to

40:03

the next sort of existential risk that

40:05

they could hang their hat on, which was

40:06

Poom. So they began to become obsessed

40:09

with what they call pedum or this this

40:11

x-risk the existential risk of AI and so

40:14

that whole community kind of got

40:15

obsessed with it. Anthropic sort of

40:17

branded itself or styled itself I should

40:20

say as the one frontier lab that would

40:23

solve this problem of pdoom or would

40:25

behave in a responsible manner that

40:27

cared the most about it and so they

40:29

attracted all these EA types. There may

40:32

be multiple factions. I mean, I'm not

40:33

>> Well, it's interesting you bring that up

40:35

because we've talked about this before.

40:37

Like there's this whole rationalist

40:39

community, the the Slate Star Codeex.

40:41

You brought that up on an early episode.

40:43

These are like intellectuals who believe

40:46

that and in a way a public community

40:48

meth intellectuals who believe they know

40:51

better than everyone and somehow they

40:53

got their hooks into AI early or the AI

40:56

people were interested in it and now

40:57

they have a bankroll. Now they actually

40:59

have a lot of power they've accumulated.

41:02

It's not just some message board less

41:04

wrong, etc. Now you got something super

41:06

powerful because they've got, you know,

41:08

a couple of trillion dollars in market

41:10

cap to play along with.

41:12

>> I have no problem with that because I

41:14

think we do the same thing. We think

41:15

we're smarter than everybody else and,

41:17

you know, we should allocate the money.

41:19

So, I think it's fair that in the public

41:22

square

41:24

we can just debate and have water find

41:28

its level. The interesting thing that's

41:29

going to happen post the anthropic and

41:32

open AAI IPOs is if you think about the

41:36

amount of charitable giving or daffs

41:39

that are going to be funded by both

41:41

these two IPOs, it's going to be north

41:43

of half a trillion dollars between the

41:45

two companies and it could be even more

41:47

than that. And the question is when half

41:49

a trillion dollars gets directed through

41:52

this one very specific lens, it's

41:54

definitely going to have some impact to

41:55

outcomes. I mean, you've seen the

41:57

impacts that George Soros's philosophy

42:00

and his capital had on outcomes. You've

42:03

seen the you've seen the impacts that

42:05

the Koch family has had on outcomes.

42:07

You've seen the impact that Sheldon

42:09

Add's capital has had on outcomes. So,

42:11

the point is that without judging which

42:12

one is right or wrong, you're going to

42:14

have all these competing ideas equally

42:18

capitalized from third party actors.

42:20

It'll be so it'll be less political and

42:22

it'll be more these folks. And so I

42:25

don't want to judge that EA is right or

42:27

wrong.

42:28

>> My single issue is I think that they

42:31

don't disclose properly enough

42:35

their obvious conflict of interest. So

42:37

when Sax pulls the sweater thread,

42:40

person A writes an essay. Person A is

42:44

officemates with person B. Person B's

42:47

wife works for one of the heads of the

42:49

frontier labs. Person B also used to

42:51

work and

42:52

>> he's 5 million in anthropic.

42:53

>> Yeah. where, you know, a lot of this was

42:55

kind of cemented. Then there's person C

42:57

who works at Anthropic and they're all

42:59

roommates and then they're co-investing

43:01

and this and that. All of it, again,

43:02

it's completely fine. I actually think

43:05

it's completely reasonable. We all did

43:07

our version of that when we were on

43:09

Peter Universe, PayPal, Mafia, there's

43:11

all versions of it. Yeah. The difference

43:13

is that I think that when it's not

43:15

disclosed, I'm sorry, but I as a skeptic

43:19

when I read these things, connect these

43:22

dots and ask myself,

43:24

is it legitimate or is it part of a

43:27

different plan?

43:29

>> And that's when I wrote what I did this

43:31

weekend. I just wanted to make sure that

43:34

I could demarcate that people should at

43:37

least take this with a grain of salt and

43:39

think about the hidden incentives

43:42

>> because if there's an entire community

43:44

that wants an oligopy or duopoly market

43:47

structure, there's all kinds of things

43:50

that they can do to affect that change.

43:52

And one of the most effective things

43:54

that one can do is to create a hysteria

43:57

and then come and offer a solution.

44:00

>> Yeah. And Freeberg, just to as we wrap

44:02

up here on this one segment,

44:05

>> sorry, last thing on this. Jensen and I

44:08

were texting this morning and I said to

44:10

him, "This is the most incredible thing

44:12

that you've done." And then I tweeted

44:13

this thing out. This hugging face thing

44:16

>> we talked about

44:17

>> will go down as one of the most

44:20

important transactions in AI because you

44:23

are creating now in the largest

44:25

competitor and the largest most well

44:27

capitalized company a bull work against

44:31

all of this closed source oligopoly

44:33

insanity

44:35

and at the same time what you're going

44:36

to do is actually create more rational

44:38

competition up and down the stack and I

44:40

mentioned this last week everybody is

44:42

becoming everything

44:44

Nvidia will look like Amazon, Amazon

44:46

will look like Nvidia, Google will look

44:48

like Amazon and Nvidia, etc., etc.,

44:51

etc., etc. And so the most important

44:55

thing that's happening now is that we

44:57

are getting deep technical actors with

44:58

huge balance sheets to be on the side of

45:01

an open market structure. And I think

45:04

that will be the most important push

45:05

back because that will allow the best

45:08

idea to win in the marketplace. So I

45:10

don't want to judge the EA agenda. It

45:12

may be really good, but I don't want to

45:15

be rugpulled and end up in a igopy or

45:18

duopoly market structure because of a

45:20

hysteria that was man-made. Yeah, I

45:23

think it's like so well put and I a

45:26

couple weeks ago talked about how I

45:27

thought Jensen was going to win open

45:29

source and I too tweeted about this

45:31

today and I believe right now starting

45:34

today Nvidia is the number one

45:35

competitor for open AI and anthropic not

45:38

just for tokens but for enterprise

45:39

compute and I think now Jensen is the

45:42

leading open source provider in America

45:44

and I think he's going to take the world

45:45

he's going to catch up and blow past

45:47

China uh and the Chinese models I think

45:49

by the end of 2027

45:51

And then that means you're going to have

45:54

a player um in Jensen and Nvidia that

45:58

will enable America to your previous uh

46:02

job in the government there. Sachs, you

46:04

were very concerned. Hey, are we going

46:06

to win the race? I am more convinced

46:08

than ever now that we can win the race

46:10

because Jensen represents open source

46:12

globally. He's going to be able to take

46:13

a rack of compute, bring it into a

46:16

company, you know, that is currently

46:18

using

46:20

tokens from OpenAI and Enthropic and

46:22

say, "Here's your rack, soup to nuts,

46:24

complete vertical solution, and you have

46:27

total sovereignty, and I'm reducing your

46:28

prices 80 or 90%." Cuz I don't need to

46:31

make money off the tokens. I made money

46:32

off the hardware. I'm making money 10

46:35

different ways to Sunday. and we will

46:37

have won except that now you have

46:39

Governor Shapiro who is the biggest

46:41

proponent of data centers in his state

46:44

and then Greg Abbott of our great state

46:46

saxs of Texas who now are on a jihad

46:49

against data centers in order to win

46:51

their midterm elections and that is

46:54

what's truly scary they have now taken

46:56

dares post all of this and we have

46:59

horseshoe theory sacks you have Steve

47:02

Bannon Shapiro Abbott and the lunat tick

47:06

socialist fringe left all in agreement

47:09

we need to stop AI stop the data centers

47:12

and burn the whimos in the street it's a

47:14

truly troubling moment because we are

47:16

poised with Jensen's move in hugging

47:18

face to win open source and we've

47:20

already won Frontier models your

47:22

thoughts Sachs

47:23

>> yeah I mean look I think there's an

47:25

interesting transition that's underway

47:28

now on the political side I think it's

47:29

just starting to begin which is I think

47:32

that over the past few years the

47:34

political debate over AI has really been

47:36

between accelerationists and dels or

47:39

doomers. That was sort of the

47:41

fundamental lines. And you're right that

47:42

it went across different political party

47:45

boundaries because you had on the del

47:48

side, you not only had kind of like

47:50

anti-progress, anti-inovation

47:52

progressives like Bernie Sanders, you

47:54

also had Steve Bannon, people like that,

47:55

conservatives who just were fearful of

47:58

new technology or the disruption that

48:00

might come from it. And so it did kind

48:02

of go across party lines. But anyway,

48:04

that was the debate for the last few

48:05

years. Some people describe me as an

48:07

accelerationist to that debate. I kind

48:08

of just see myself as a realist, which

48:10

is I think that the technology is going

48:13

to happen. Someone's going to develop it

48:15

and I'd rather it be the United States

48:17

as opposed to China. In any event, that

48:19

was I think the debate of the last

48:20

years. Now, I think where the debate is

48:22

moving to is open versus closed, which

48:25

is I think it's going to be very clear

48:28

that AI is just not going to be stopped.

48:30

I mean the all the stuff that Bernie

48:32

Sanders is doing or these anti- data

48:34

center groups they are throwing sand in

48:36

the gears but the reality is that the

48:38

technology is marching on the innovation

48:40

is happening very quickly and ultimately

48:42

the reason why it's not going to be

48:44

stopped is because consumers are

48:46

adopting it I mean that's the thing

48:47

people forget why are the data centers

48:49

getting built why do people want to

48:50

build them is because the demand is

48:52

there from consumers and businesses and

48:55

so the adoption is pulling this whole

48:56

thing forward and that's why I don't

48:58

think it's ultimately going to stop. Now

49:00

given that reality, given that I think

49:02

realism is going to prevail, I think the

49:05

debate is going to be more towards well

49:08

how do we manage this? What is the

49:09

market outcome that we want? Do we want

49:11

to have an open market where there's

49:14

lots of decentralized models? There's

49:16

sort of checks and balances. There's

49:18

kind of a balance of power in the market

49:20

between different models or do we have a

49:23

highly centralized solution where

49:25

there's a couple of frontier companies.

49:27

We have a frontier market duopoly.

49:29

They're closed

49:29

>> and they can rug pull you Sachs at any

49:32

time. They can rug you your tokens away

49:34

from you.

49:35

>> And and frankly and and that duopoly has

49:38

>> and that duopoly has been aggressively

49:41

lobbying for a new regulatory agency.

49:45

Why? Because of red capture. They can

49:47

now control it. Again, the government

49:49

officials are not going to know how to

49:51

regulate something this dynamic. So

49:53

they're going to turn to the leading

49:55

labs to say, "Hey, how should we

49:56

regulate it?" And of course, Enthropic

49:59

is going to have all the answers on

50:00

that. And Dario has already said in

50:02

Senate testimony that he thinks open

50:05

models, if sufficiently advanced, are

50:08

dangerous because they're not centrally

50:09

managed and controlled. So, it's very

50:12

clear where the battle lines are going

50:13

to be drawn in the future. It's going to

50:14

be about whether you want a centralized

50:17

closed market or you want a market that

50:20

is decentralized and open. And yes,

50:22

closed will participate in that, but the

50:24

question is whether we have the open

50:26

piece. And again, I think this will go

50:28

across party lines because frankly the

50:30

Republicans have their statist.

50:33

But I do think that as this debate

50:35

evolves, most conservatives, most

50:38

libertarians are going to see the threat

50:40

to civil liberties, and I think they're

50:42

going to come out in favor of open.

50:44

>> Yeah, I I I think that's correct. And I

50:46

think I was talking to Politico because

50:49

they were reporting on the story. You

50:51

know, Trump is going to turn out to be

50:54

right about this data center issue. U

50:57

the greatest thing a community can do is

51:00

to get these data centers now when the

51:02

data center providers are willing to pay

51:06

your local taxes for your schools to

51:08

give incentives to pay people off in any

51:11

number of ways and to move them wherever

51:14

they don't need to tap into the grid

51:16

where they don't need water where

51:17

they're not going to make noise. And

51:20

Trump keeps telling people this is a

51:22

mistake to block the data centers take

51:24

the money. And I got to say it's just

51:26

watching politics up close and personal.

51:29

Friedberg h has just made me incredibly

51:32

uh cynical towards it. We were sitting

51:34

here 6 months ago maybe it was even six

51:37

weeks ago and Abbott and Shapiro were

51:40

lauding and Shapiro when he came on the

51:43

podcast lauding their data center

51:44

efforts. I think Jama and I interviewed

51:46

him. Freeberg, what do you think will

51:49

happen post midterms here? I I mean, I'm

51:52

of the belief they're going to switch

51:53

their position back to being pro data

51:54

centers because they just are following

51:56

the wave here. But I mean, how cynical

51:58

is it that Shapiro and Abbott are both

52:01

now anti-data center? I think you

52:03

politically have to be. It's like

52:05

pulling at negative 80. It's bipartisan.

52:08

>> Yeah, but you you you know, it's like

52:10

>> why isn't Trump then? Trump's not

52:12

following this. Trump's an independent

52:13

critical thinker. Sachs,

52:15

>> he's got guts. I mean, I have told you

52:17

guys before that Trump is ultimately the

52:21

best friend of innovators in Washington.

52:24

>> If anybody could make the decision about

52:26

technology in DC, I'd want it to be

52:28

President Trump. Not cabinet

52:29

secretaries, not the White House staff,

52:31

not members of Congress, not senators,

52:34

not think tanks. I would really want

52:36

every decision if he had the time to be

52:38

made by President Trump because his

52:39

instincts on this are really good. He

52:41

wants America to win. He does not

52:42

believe in necessary regulation. He

52:44

doesn't have all these doomer anxieties.

52:46

He listens to a broad cross-section of

52:48

people. I mean, he talks to all the

52:49

CEOs. He is very up to speed on all

52:51

these issues. And I give him credit on

52:53

this. And I spoke to this at the G20

52:55

this past week. There are great deals

52:57

for local communities to be had. This is

52:58

the point that I think needs to be made

52:59

is

53:00

>> the reason why local communities should

53:03

embrace this is not because of some

53:05

abstract concern about innovation or

53:07

that kind of thing. They should do it

53:09

when the deal is good for them. And

53:10

there are good deals to be had. We've

53:12

seen that in Lowden County, Virginia,

53:15

the average taxpayers property taxes

53:18

went down by $6,000 because they're

53:20

getting all this data center revenue. In

53:21

Louisiana, there's a county that was

53:23

able to give teachers their first bonus

53:25

in years because of data center revenue.

53:28

So, we're starting to see all these

53:29

examples where if you make the right

53:30

deal, I'm talking about you, the local

53:32

community, with the data center and the

53:34

AI company, it will lower your

53:36

electricity cost because they will stand

53:38

up net new power generation. and they

53:40

will pay for grid upgrades. It does not

53:42

use like an excessive amount of water.

53:44

That's total fake news. We know the

53:46

systems recirculate and these data

53:47

centers can be put in places where

53:48

they're not bothering people. So, there

53:51

is a good deal to be made there. And

53:53

ultimately, just one last point on this,

53:55

President Trump supports local choice on

53:57

this. He's made the argument for why

53:59

it's a good deal for local communities

54:01

to accept this data center, but he's not

54:02

forcing them to. And I'm seeing all this

54:04

fake news, you know, Democrats saying

54:06

that the administration's trying to

54:07

shove these data centers down the

54:09

throats of local communities. Not true.

54:11

In the policy document that I worked on,

54:13

the executive order that I worked on in

54:14

December, we expressly said that data

54:17

centers remain a state and local

54:19

decision. So there were other areas

54:22

where we thought we should have a

54:23

national AI policy, but data centers

54:25

were not one of them. So no one is

54:27

forcing these local communities. What

54:29

the president is saying is don't believe

54:31

this media disinformation campaign. It

54:34

can be a good deal for you if you're

54:35

willing to embrace it. I think we're

54:37

making progress over the last week on

54:38

this message.

54:39

>> One thing that I would say from my

54:41

meeting in Washington on Monday is there

54:46

is a lot of foreign involvement in

54:48

trying to propagate the negative

54:51

reaction and sentiment to data centers.

54:52

And I think it's becoming clear who's

54:55

part of this cabal and how they are

54:57

doing it. There was a poll that showed

54:59

that when you walk through the actual

55:02

upside and you went into some of these

55:03

communities, the sentiment shifted by

55:05

like 30 or 40 points. It's still a

55:07

little bit on its back heel, but it's

55:09

just to show that the side that has been

55:11

organized on deselling America

55:14

has done a better job thus far than the

55:16

side trying to accelerate America

55:19

because it's been a little bit more

55:22

fragmented. We're able to increasingly

55:24

see that the Del movement is organized

55:28

in large part and in funded by foreign

55:30

actors. And I think that as we put our

55:32

fingers on that and expose that more, I

55:34

think that that's going to change as

55:35

well. Because the reason why Abbott and

55:37

Shapiro are reacting, I actually think

55:40

they're reacting to faulty data.

55:42

>> And why does the faulty data exist? The

55:44

faulty data exists because we've had one

55:46

side screaming from the mountaintops.

55:49

And then it's just now as Sax said that

55:51

when you go to these actual communities

55:53

and you you actually measure people's

55:55

reactions, it's much more positive

55:56

because they're feeling it in their bank

55:58

accounts.

55:59

>> Yes.

55:59

>> And those make a good deal. They just

56:01

have to make a good deal. And by the

56:03

way, so Chimath, you're right about the

56:05

CCP. This is a

56:06

>> Yeah. Let me pull this up here. So the

56:09

report you're talking about, Chimath,

56:10

has been investigated. X got rid of a

56:12

lot of bot accounts. And here's Axio.

56:14

China is secretly fueling America's data

56:16

center rage. Roughly 200 counts from

56:18

suspected Chinese platforms have quietly

56:20

tried to influence Americans to oppose

56:21

AI data since on social media. X said

56:23

Thursday night it's the same thing that

56:25

happened during the elections for both

56:27

sides going back and forth. It's

56:28

incredibly easy to shape public opinion

56:31

sacks by just having a small number of

56:35

social media accounts and pounding

56:37

people and brigading them in their

56:38

replies and forming what people believe

56:42

incorrectly is consensus. And the

56:45

consensus is not that people don't like

56:47

data centers. It's that a bunch of bots

56:50

are telling influential people that

56:52

people don't like data centers. I know

56:53

you're about to move on topics, but I'm

56:55

just going to say something right now,

56:56

which is please,

56:59

there's going to be a cascading set of

57:01

decisions and reactions and people will

57:02

anchor into points of view on this topic

57:05

and related topics around AI which will

57:08

look incredibly incredibly dumb in 6 to9

57:12

months and a year from now. And the

57:14

reason it will look dumb is as the

57:16

actual truth gets exposed, these folks

57:18

will look incredibly foolish. That's my

57:20

prediction.

57:21

>> Yeah. I mean, look, just just on the the

57:23

influence op here. Clearly, there have

57:24

been a lot of influence ops around data

57:26

centers and there's a lot of fake

57:27

information about this. So, there's a

57:30

few different I'd say cadres here.

57:32

There's the there's CCP, there's the DSA

57:36

type wing of the Democrat party, which

57:40

frankly, I mean, both they and the CCP,

57:43

they're communist parties who want to

57:44

sabotage America. So, it kind of makes

57:46

sense. Then you've kind of got the

57:47

doomer groups and there's um a writer

57:50

named Nerret Weisslat who writes a blog

57:51

called AI Panic who a couple years ago

57:54

traced that there were hundreds of these

57:57

astroturf doomer groups that were

58:00

basically funded by three EA

58:02

billionaires in Silicon Valley. It was

58:04

Dustin Moscus, Yan Talon, and Vitalic

58:07

Buterine. Remember Vitalic gave $600

58:09

million of of dog coins to Future of

58:12

Life Foundation. And then they've been

58:14

spending hundreds of millions of dollars

58:16

on these campaigns to make people be

58:18

afraid of AI and they see data centers

58:20

as a good target. So you really can't

58:23

underestimate how much of a difference,

58:25

you know, a billion dollars of donations

58:27

from these EA billionaires, how much

58:29

damage that's done in terms of the

58:31

public perception of AI. And to to point

58:34

earlier, I mean, we are going to have

58:37

like probably a hundred new EA

58:39

billionaires as a result of the

58:42

anthropic IPO. And as those people find

58:44

their way into politics, it will be like

58:47

George Soros times 100 or a thousand.

58:49

>> Going to have 20 NOS and 50 people

58:53

working for them. It's going to be nuts.

58:55

I mean, I told you guys I was getting

58:57

brigaded. I created a bot sack that goes

59:00

through my replies for me and it just

59:03

says anybody under a year, anybody under

59:05

200 um followers, just tell me what

59:08

they're tweeting. And I look at these

59:10

and it's all the same thing. They're

59:11

just brigading people constantly from

59:13

fake accounts. If you're under like a

59:15

year old, you shouldn't be able to even

59:17

be in people's replies unless you have

59:19

like your real name or you're you're

59:21

you're a blue check mark or something.

59:22

It's it's gotten out of control on these

59:24

social networks. It's so easy. All

59:26

right, let's keep going through the

59:27

docket. Got a lot to get to here. And

59:29

Freeberg, I need your comments and your

59:32

insights on Mandami. This is an

59:35

interesting one. He just put a one-year

59:36

ban on AI inside New York City's public

59:40

schools from kindergarten through 8th

59:42

grade. Now, this is something where

59:44

people have been saying he banned

59:46

Chachi, banned AI. Just let's slow down

59:48

here and get into the details. New York

59:51

City is the largest school district in

59:54

the United States. The moratorum starts

59:56

next week. 600,000 students in New York

59:58

City. This covers all software that uses

60:01

studentf facing generative AI. High

60:03

schools are exempt and Mandami is

60:06

piloting an AI learning program with

60:08

50,000 high schoolers. So that's a very

60:10

specific thing that he's piloting that's

60:13

different than these new guard rails. He

60:15

also gave recommend recommendations for

60:17

screen time caps. 30 minutes Shimoth

60:20

grades 3 through 5. 45 minutes grades 6

60:23

through 8. Mandami's reasoning, quote, I

60:27

have yet to see a study showing that AI

60:29

is beneficial for students in elementary

60:31

and middle school. Uh, obviously Mandami

60:34

is the face of democratic socialism in

60:36

America.

60:38

One New York City DSA member, Julie

60:41

Swoop, said technology quote should not

60:44

be mediated through a for-profit company

60:47

that is enriching tech oligarchs

60:49

further. I think he's talking about USA.

60:51

Is that old? Google, Microsoft,

60:53

Anthropic declined to comment.

60:57

Freeberg, what are your thoughts on

60:58

this? How far is this from how you think

61:01

about how you would want your children

61:03

to be raised if they were going to New

61:05

York City's public school system or

61:06

whatever school system you choose to

61:08

send them to? Article published from

61:10

Stanford in March of this year. Counter

61:13

to mom Donnie's statement, they went

61:17

through and they diligenced all of the

61:19

research that's been done on the use of

61:21

AI in K through 12 education. It's a

61:24

report called the evidence base on AI

61:25

and K12, a 2026 review. They identified

61:30

um several hundred papers that have been

61:33

published only 20 highquality causal

61:35

studies is what they said. This was back

61:37

in March, so many have been published

61:38

since then.

61:40

And the conclusion of the meta paper,

61:42

the meta studies if you will, is

61:46

highlighted at the bottom of the report.

61:47

Student performance often improves with

61:50

access to AI tools, but once removed,

61:52

results are mixed. Tool design matters.

61:55

So, not all tools are equal. And AI may

61:58

meaningfully support educators. So,

62:01

there's quite a bit of analysis that's

62:03

been done. It's continuing to mount,

62:04

continuing to surface. there doesn't

62:06

seem to be a strong evidence base to

62:08

suggest that AI is detrimental to kids

62:11

education and development or the

62:12

educational process. What I think we can

62:14

all intuit it about this is that there's

62:16

certainly a negative uh push from

62:20

teachers unions against AI tools under

62:23

threat of automation away from their

62:26

core skill and capacity and the lack of

62:28

skill that educators have in utilizing

62:31

AI to educate students in a

62:33

classroombased setting. The common sense

62:35

equivalent also on the flip side is that

62:38

AI can enable personalized tutoring. The

62:41

objective being every individual learns

62:43

at a different pace. Everyone learns

62:45

differently. How you learn, how I learn

62:47

visually, orally with certain imagery

62:50

versus being told stories versus

62:52

interactive project based work or

62:54

building work or dictation. There's a

62:56

lot of different ways that people learn.

62:58

All of those learning systems can be

63:00

personalized to an individual and

63:03

ultimately that individual as a result

63:04

should be able to progress more quickly

63:07

um have greater confidence in their

63:08

learning. And this is my kind of common

63:11

sense belief not rooted in some study

63:14

that AI ultimately will lead to a much

63:17

more kind of personalized system of

63:18

education for students. And that is

63:21

deeply disruptive and deeply threatening

63:23

to the traditionalist systems of

63:26

educator in a classroom. Everyone learns

63:28

the same way. Everyone learns at the

63:30

pace of the slowest student in the

63:32

classroom. Typically, the educators have

63:34

a lot of rules around what they're

63:36

required to do and not required to do

63:38

because of the contracts negotiated by

63:40

their unions. And so, there's a deep

63:42

political orientation with MDI's

63:44

decision here to limit the access to

63:47

technology. I think it's unfortunate. I

63:49

think it's really sad. I think that the

63:51

opportunity for AI to reinvent

63:53

education, give kids a level up, to take

63:55

any child from any background, any

63:58

socioeconomic condition, and give them

64:00

the opportunity to accelerate their

64:02

capacity uh very quickly and very

64:04

effectively is an incredibly powerful

64:06

tool that should not be discarded

64:08

because of a bunch of that's

64:10

been written about AI or concerns that

64:13

we don't really know or understand. By

64:14

the way, that is always the shorthand

64:16

for dismissing away something that's

64:19

credibly going to change a system. We

64:21

don't yet know. The we don't yet know,

64:23

we don't yet understand uh narrative can

64:26

always be used at any point because you

64:28

could always say, well, there's more

64:29

studies to be done. There's more

64:30

analysis to be done. There's no limit to

64:32

that statement. And so in this case I

64:34

tried to highlight that there have been

64:36

800 studies at least 20 of which

64:38

Stanford have identified as being very

64:40

credible in their analysis of the

64:42

utilization of AI and K through 12. And

64:44

so yeah I think that there's a political

64:46

bent here but I think it's probably part

64:48

of also this very kind of deeprooted

64:50

dysfunction that we've been talking a

64:51

lot about this dysfunctional fear of

64:55

technological evolution. No one

64:57

understands it. No one when I say no one

64:59

I mean the general population feels this

65:01

way. No one knows where we're going with

65:04

this. We need to be careful. We need to

65:06

be cautious. And I think that that's

65:08

probably

65:10

what's going to keep us back. Now, why

65:11

is that bad? Why why is it bad to take

65:13

time? Well, it's bad to take time when

65:16

you have an opportunity to progress

65:17

forward quickly and aggressively because

65:20

there are going to be alternatives out

65:22

there. There are going to be private

65:23

schools that are going to use AI. And I

65:25

don't want to see kids of privilege and

65:27

kids of wealth accelerate ahead because

65:29

they're getting an AI education while

65:31

public school kids get left behind. I

65:34

don't want to see kids in other cities,

65:35

other states, and other countries

65:37

accelerate ahead when kids that are in

65:39

certain districts that have this kind of

65:41

anti-technologies kind of call it

65:43

socialist orientation get left behind.

65:46

So I think there's a fundamental kind of

65:48

dysfunction socially that we're dealing

65:50

with across all of the stuff with this

65:52

massive kind of technological upheaval

65:54

that's underway. This is one

65:55

manifestation of it. There's a rooting

65:57

that the mechanism of it is probably

65:59

related to teachers unions and the

66:01

politics around this stuff right now.

66:02

Anti-AI is very popular. So his being

66:05

anti-AI gets him more points, more

66:07

kudos. The unions love it. And so you

66:10

know that's kind of my my summary of

66:11

what I think is going on.

66:12

>> Great uh great insight. And Mandami may

66:14

not have lied here. Freeberg. He said he

66:16

didn't see any studies. He just may not

66:18

have looked. And you actually looked.

66:20

>> Didn't click on that link.

66:20

>> I didn't just didn't click on the link.

66:22

So, let's not, you know, give Mandami a

66:24

hard time here. Chimath, you are

66:25

passionate about education. You got kids

66:28

in various age groups. And so, you've

66:29

been through this and you're still going

66:30

through it and and kids learning and

66:32

thinking about devices. We talked about

66:34

this just the other week with the meta

66:36

settlement and how challenging it is for

66:38

parents. What's your take on this? Maybe

66:41

you could steal man what you think

66:43

resonates with you in terms of use of AI

66:46

putting New York aside for your own kids

66:48

and what benefit is there of them not

66:50

using AI and where where do you think

66:52

it's actually great that they use AI?

66:54

Take us into you know what you think as

66:56

a parent and put the politics aside for

66:58

a second if you will.

66:59

>> I think it's inconceivable to me that

67:02

kids will not have an adaptive learning

67:05

platform as their primary way of

67:07

learning. I think this idea of grade one

67:09

then grade two then grade grade three is

67:12

as Freeberg said a lowest common

67:13

denominator approach to education. I

67:16

don't think it works. I think it's more

67:19

conceivable that in the future we have

67:21

kids that have very different learning

67:24

styles. Some are more visual, some are

67:26

more auditory and we have different

67:28

learning paces. And if you could have

67:31

something that's much more tailored to

67:34

each individual person's learning style

67:36

where you have guides that help you in

67:38

moments and then the rest of the time

67:40

you're teaching executive function and

67:43

teamwork and problem solving all of

67:45

these other things sports that's a much

67:48

better outcome for all kids. So that's

67:49

the right answer. Right now there are

67:52

only charter school options around that

67:54

answer. the leading edge of that being

67:56

Alpha School, which is our friend Joe

67:57

Leewan. You know, big shout out to him

68:00

and his team. But I think that's the

68:01

answer that's going to win. Let me just

68:03

give you another reflection, Jason. I

68:05

think that this is an incredibly

68:07

important moment. We should demarcate

68:09

this. This is when New York becomes

68:12

Mississippi while Mississippi becomes

68:14

New York.

68:15

>> What do I mean? In all of these highly

68:18

liberal bastions,

68:21

they are embracing

68:23

this far-leftwing

68:26

ideology.

68:28

And I think it's going to come with

68:31

these kinds of policies. And I think

68:33

what it will do is it is a self-imposed

68:36

form of modern segregation.

68:40

And it is going to completely push an

68:44

entire generation of kids in these

68:46

cities that are subject to these rules

68:48

into poverty and it will keep them

68:50

there.

68:52

And so in as much I think you're going

68:54

to see this flipping

68:56

where all the states that embrace AI,

68:59

that embrace the data centers, that

69:01

embrace the tax cuts, that embrace the

69:03

teacher bonuses,

69:04

they're just going to end up ahead. And

69:07

you're going to have people who are in a

69:09

position to move move. And then instead,

69:12

what's going to be left over in many of

69:14

these cities that embrace these things

69:15

to the extreme are hollowed out versions

69:18

of their original self. And that's going

69:21

to reorder the economic balance inside

69:23

the United States and the voting balance

69:26

and many of these philosophies. So I

69:28

think it's very important. I think he

69:30

should run the test.

69:32

I apologize and I feel deep empathy for

69:37

the working men and women whose kids

69:40

will be over by this.

69:44

>> But I think people can only learn in

69:48

touching the stove and getting burned.

69:50

>> Okay, Saxs,

69:52

maybe you could go into the political

69:55

side of this if there is one and maybe

69:58

what is your cynical take on what's

70:00

going on here? Do you believe this is a

70:03

reaction to the oligarchs? I joked

70:05

previously they're talking about you,

70:06

but it it does have a little bit of a

70:09

tinge there of democratic socialism and

70:13

it feels like maybe they want to

70:15

sacrifice kids. Uh or this is one

70:17

interpretation that is happening online.

70:19

I'm not saying it's mine, but people are

70:21

saying, hey, they're trying to sacrifice

70:22

kids because they don't want Sam Alman

70:24

or Daario or whichever service it is,

70:27

Microsoft to to get a couple of shekels

70:30

for, you know, software being used in

70:32

the classroom. And of course, they would

70:34

all give the software to them for free.

70:36

And the current versions of it, you can

70:37

use 80% for free. So that makes no

70:39

logical sense that they're sticking it

70:41

to the man in the big oligarchic tech

70:45

industry. Your thoughts? Well, look, the

70:46

DSA has just really come out against any

70:49

innovation. They're kind of just on the

70:51

side of anti-progress. They've kind of

70:53

fully embraced the sled eye side of the

70:55

argument. And I think to the point that

70:58

Freeberg and Chimath were making

71:00

earlier, um, this is going to be just

71:02

really bad for the kids. You know, we've

71:03

been talking for 30 years about a

71:05

digital divide in this country where

71:07

supposedly the kids of wealthy people

71:11

would have access to the best tools and

71:13

the kids of poor people would not have

71:15

access to those tools and they'd fall

71:16

even further behind. Well, here you have

71:18

a case where of course private schools

71:21

are going to continue to use the best AI

71:23

powered tools. And now the public

71:25

schools are not going to have access to

71:26

those tools. Not because they don't have

71:27

the money, not because the techn is not

71:29

available, but because the political

71:31

leadership is trying to sabotage those

71:33

kids. And you know, it's going to be bad

71:36

for them. And I I guess, you know, if

71:37

you were to describe a motive to it, I

71:40

don't think Mamani and his political

71:42

group, his party really care if they

71:44

create more political dependence. I

71:46

mean, in a sense, their whole movement

71:48

consists of downwardly mobile

71:50

progressives. And if you're looking for

71:51

a motive, maybe they're fine having

71:53

these kids be downwardly mobile. I don't

71:56

know. Maybe that benefits them

71:57

politically.

71:58

>> They may actually not have kids at all

72:00

and they're making these rules and it's

72:03

>> people with kids who are not who are

72:05

part of the, you know, because if you

72:07

look at all these people, these are all

72:08

like, you know, blue-haired single

72:10

people with no children,

72:11

>> right?

72:12

>> Yeah. Actually, let me let me bring one

72:13

other element into this, which is

72:15

>> Yeah. So, so look, I I don't think we

72:16

really need to get into motives. We can

72:18

just say it's a bad policy and leave it

72:19

at that. But let me just bring in one

72:21

other element of this, which is it's not

72:23

a full ban. Okay. What they also said is

72:27

that for a maximum of 50,000 high school

72:30

students, they're going to have a pilot

72:32

program, these so-called modules in

72:36

which they teach AI literacy. But listen

72:40

to how they describe it. They say that

72:42

all high school students will have

72:44

access to twice yearly AI literacy

72:47

classes designed to help them think

72:49

critically about AI before they begin to

72:52

rely on it. Okay. These modules will

72:55

introduce students to what AI is and is

72:58

not. This is their language as well as

73:01

AI related bias, risks, ethical

73:04

considerations and impacts on careers

73:06

and future skills. And it says that all

73:09

use will take place under direct

73:10

supervision of a trained educator and

73:13

will involve carefully vetted AI tools.

73:16

The pilots were selected based on

73:17

rigorous safety and data privacy

73:20

standards. So you hear there a lot of

73:23

this sort of doomer lingo. I mean those

73:26

modules it sounds like they could have

73:27

been written by some of these safety

73:29

people. You know this this language

73:31

about AI bias and discrimination things

73:33

like that. I mean, honestly, those

73:34

classes sound not like you're going to

73:37

learn how to use the tools to get the

73:39

best education, but about how you're

73:41

going to learn to be suspicious of the

73:43

tools. And maybe that's like a small

73:45

part of what you should develop because

73:48

I guess you should be suspicious of

73:49

everything. But it doesn't really sound

73:51

like those courses are going to benefit

73:53

kids.

73:54

>> It sounds like they're going to put them

73:55

through Doomer Academy, quite frankly.

73:57

>> Yeah.

73:58

>> I mean, it doesn't sound like post and

74:01

>> Yeah.

74:01

>> Yeah. Write write your own

74:03

interpretation.

74:03

>> So think about the competitiveness of

74:04

our kids versus Chinese kids.

74:07

>> Yeah.

74:08

>> China we know is incorporating AI into K

74:11

through 12 education. Their kids are

74:13

going to learn how to take advantage of

74:14

these these

74:14

>> robots for the robot Olympics internship

74:17

there.

74:18

>> Yeah. Meanwhile, we either are banning

74:21

AI in our school or we're putting the

74:22

kids through, you know, some sort of

74:25

doomer safetist module that's going to

74:27

teach them why they should resent and

74:29

resist AI as opposed to embrace it to

74:32

their benefit. So, I don't know. It just

74:34

seems like this is not going to make our

74:36

kids more competitive.

74:37

>> Let the experiment run, unfortunately.

74:39

But let the experiment run. We need to

74:41

measure it.

74:41

>> I have a bunch of thoughts here. I am a

74:44

big advocate of Montasauri um but I'm

74:47

also a big advocate of adaptive learning

74:49

and what these AI tutors are able to do

74:52

to a motivated student who family cannot

74:56

afford a tutor. So I just want to put

74:58

two uh disparate points together here

75:00

and and they're somewhat opposing. Uh

75:02

Nick, if you could pull up the first uh

75:04

from the NIH here about the MIT study

75:07

and I'll send this one to you

75:08

Freeberger. You can look it up. It's

75:09

very interesting. They took a group of

75:11

54 participants and sorry to get into

75:13

science corner here and still your

75:15

thunder Freeberg I should have cleared

75:16

this with you ahead of time but I was

75:18

reading this paper 54 participants from

75:20

last year into three groups over four

75:22

sessions and this is over four months

75:24

they were using uh chatpt for essay

75:27

writing not unlike the conversation we

75:29

had uh about the Wall Street Journal

75:31

editorial page last week and one group

75:34

was using a search engine one was using

75:36

tradition you know using traditional web

75:37

search the brain only group wrote essay

75:40

without using any tools. And then the

75:42

researchers used the headsets there to

75:45

to watch their brain activity. And what

75:49

happened was the LLM users showed severe

75:53

deficits quote in memory and essay

75:55

ownership with 83% being unable to quote

75:58

from the essays they had just written.

76:00

Basically, what they're saying here is

76:02

if you use these LLMs instead of being

76:05

able to do it acoustically, being able

76:07

to do it like Monttoauri uh philosophy

76:10

on your own, your brain atrophies. You

76:12

don't even remember what you wrote. And

76:14

the search engine group was somewhere in

76:16

between because they had to remember

76:17

things and they had to uh pull these

76:19

things together. Your brain atrophies if

76:22

you don't actually do the work. That's

76:24

what we're learning. Just like your body

76:26

will atrophy if you don't work in the

76:28

fields like we used to do. and that's

76:29

why we all go to gyms now. But

76:32

correlating that uh super importantly is

76:34

the two sigma problem. So Bloom uh and

76:37

I'm sure you're aware of this research

76:39

free. So this is super interesting but

76:42

will not be shocking to anybody of

76:43

means. My parents could never afford a

76:45

tutor. I was a product of the public

76:47

school system until 8th grade and then

76:48

went to Searian Private Catholic School

76:50

which was like super cheap. But

76:52

basically, we've known since the 80s

76:55

that if you are one-on-one tutoed, you

76:57

are two standard deviation betters than

76:59

students that are educated in a

77:01

classroom. So, two things can be true.

77:03

At the same time, these students, to

77:05

your point, Shimoth, they don't have uh

77:09

this experiment is being run. They're

77:11

they're realistically if they're going

77:12

to the New York City public school

77:13

systems, their parents, in all

77:14

likelihood, like mine, didn't have the

77:16

ability to hire a tutor. I'm assuming

77:18

Sax you came from a little bit of a

77:20

middle class background. I'm assuming

77:22

you did have some tutors. Am I taking Am

77:23

I Am I correct?

77:24

>> I don't have tutors.

77:25

>> No tutors. Okay. So, you had to just do

77:26

it all.

77:27

>> Yeah. I didn't necessarily

77:28

>> tutor. No.

77:30

>> No. You know what? I went to I wish I

77:32

had done like an SAT workshop. I went to

77:34

that test cold. I never did anything.

77:36

>> And you got 1400.

77:38

>> Yeah.

77:38

>> You did 1350 1450.

77:40

>> I got I got like uh 1420 my first time.

77:43

And I'm like, man, you know what? If I

77:45

had like actually prepped for that, I

77:46

might have done better. I got 1100 and I

77:49

didn't get

77:49

>> and I did I retook it and did better.

77:51

But anyway, yeah. I mean, I didn't know

77:53

any of this stuff.

77:54

>> Yeah. So,

77:55

>> here's the tension. Most parents do not

77:58

want their kids to do this work and have

78:01

their brains atrophy and not learn how

78:03

to do it from a basic level. Putting

78:05

aside the the drunken mill conversation

78:07

from last week, you you want people to

78:09

be able to learn how to read and write

78:11

and do this stuff organically,

78:13

acoustically, whatever term you want to

78:15

do, and then learn how to use the AI to

78:17

help them, augment them, etc. But I'm

78:21

concerned that the motivated students

78:23

who cannot use these tools properly, who

78:26

also can't afford to be part of the two

78:28

sigma group of parents who know very

78:31

well, all you have to do is get your kid

78:33

a tutor. And unlike self-motivated

78:35

sachs, they're going to easily get to

78:37

1400 on their SAT with a tutor because

78:39

the thing is wrote, it's very easy to

78:41

get to, 1200, 1300, 1400 with a tutor.

78:44

And so I'm I'm super concerned about not

78:46

having an AI tutor. And I feel like, you

78:48

know, there's two things can be right at

78:51

the same time with this. Um, and I

78:53

really don't like this experiment as

78:55

currently constructed.

78:57

>> All right. Interestingly, President

79:00

Trump has just closed a deal for

79:02

Venezuela's oil back in January. I think

79:06

everybody knows uh the US military in a

79:09

perfect perfectly executed operation

79:13

captured Nicholas Maduro and he

79:16

obviously was Venezuela's socialist

79:18

leader who was uh very pro-China,

79:21

pro-Russia and obviously Venezuela's in

79:23

our hemisphere. Trump said the US would

79:25

control Venezuela Venezuela's oil, which

79:29

they have a lot of. It's not super

79:30

clean. Um, but they do have a lot of it.

79:33

And uh, he made a deal with Maduro's

79:36

replacement.

79:38

President Rodriguez is now in charge.

79:41

Now, we have the details of this. North

79:44

American Blue Energy Partners gets a

79:47

100-year concession over 17 oil fields.

79:50

This includes 65 billion barrels. 65b

79:54

billion barrels of reserves that were

79:57

once controlled by Russia, Chinese and

79:59

Maduro entities. The US government

80:01

controls 55% of the deal. Pentagon gets

80:03

35% equity. The Pentagon gets a third of

80:06

the equity. State Department gets rights

80:08

to buy 20% of output at cost.

80:11

Interesting. I guess that's for our

80:12

reserves and our military. Uh this was

80:14

signed by Rubio and Hegsath with

80:17

Venezuela's interim president. As I

80:19

mentioned, Blue Energy Partners is

80:21

pledging roughly hundred billion in new

80:23

infrastructure. A lot of other

80:24

companies, Chevron, etc. And uh a bunch

80:27

of unnamed ones also are going to get

80:30

some deals. Trump said this deal will be

80:33

at quote no cost to the American

80:37

taxpayer. Sachs, I'll throw you a fast

80:41

ball here if you want it or I can give

80:42

you the softball. Which one do you want?

80:43

You want the fast?

80:44

>> I like the fastball.

80:45

>> You like the fastball? Okay, here it

80:46

comes. Coming in. Hope you're wearing a

80:48

helmet. Should we be seizing and taking

80:51

over countries and seizing their oil

80:53

fields? People feel like this might be

80:55

nation building that we're putting in

80:57

puppet dictators. Is this something

80:58

America should be doing? Do we have the

81:00

right to do this? This is the hard

81:02

question people are asking or does might

81:05

equal right?

81:06

>> Well, I definitely don't think this is

81:07

nation building. You know, we're not

81:09

trying to stand up an army here like we

81:11

did in Afghanistan. We're not trying to

81:13

teach them about toxic masculinity.

81:16

We're not trying to stand up a

81:17

government or anything like that. Uh

81:20

we're not trying to teach them how to do

81:22

American style democracy. We're just

81:24

making a business deal. This is a

81:26

business deal. And you know, it's

81:28

amazing to me all the people who are

81:29

saying, "Well, this is exploitative of

81:31

Venezuela and this is a bad deal for the

81:33

people of Venezuela." Have you looked at

81:35

Venezuela's oil production under Maduro?

81:38

It already wasn't very high given the

81:42

incredible reserves that Venezuela has.

81:44

But under Maduro, the production dropped

81:46

by about 2/3 over the last decade. So

81:49

they used to produce about 3 million

81:51

barrels a day. Under Maduro, it went

81:53

down to about a million barrels a day.

81:55

And this is a country with some of the

81:57

largest oil reserves in the world.

81:59

People debate exactly what should count.

82:02

I think if you look at the total amount

82:04

of reserves, it's something like 300

82:09

billion barrels of oil, which is around

82:13

the same as Saudi Arabia, just a little

82:15

bigger than Saudi Arabia. Now, some

82:17

people say, well, a lot of that is like

82:19

this extremely heavy crude sort of like

82:22

sludge that's not usable. I think that's

82:24

the so-called Oroco reserves, but that's

82:27

only about 200 of the 300. So they still

82:31

have about 100 billion barrels of you

82:36

could say it's still a heavy crude but

82:38

those proven reserves I think aren't

82:40

really debated. So you're talking about

82:42

a huge amount of oil here. And I guess

82:44

just one last point on this is that that

82:47

type of heavy crude is actually very

82:49

complimentary to our own. So, in the

82:51

United States, through the magic of of

82:53

fracking, we've basically developed all

82:55

of this um oil and gas, but our oil is

82:58

this light sweet crude that's good for

83:01

refining it down to gasoline. But the

83:04

heavy crude is what produces the

83:05

distillates and that's where diesel

83:07

comes from. And our refineries in the

83:09

Gulf were built for heavy crude and it's

83:12

very expensive to try and retrofit them

83:14

to do the the light crude. So actually

83:17

our refineries are sort of perfectly set

83:19

up to take in this heavy crude and turn

83:22

it into diesel and other distillates. So

83:26

I think it's really a win-win deal for

83:28

the US and for Venezuela. Again,

83:30

Venezuela was doing horribly before. I

83:33

think this will this has to improve

83:35

their economy and I think it's really

83:38

good news for the US. To your point,

83:40

Saxs, uh over the past five and 10

83:42

years, the uh price uh per barrel of oil

83:46

coming out of Venezuela has averaged

83:49

past 10 years, $53 a barrel. Past 5

83:52

years, $58 a barrel. Uh so they're

83:56

getting a pretty good deal. We're paying

83:57

a little premium here to control it all.

84:01

>> They were selling at a discount to

84:03

China. I think it was like a $20 a

84:04

barrel discount to basically sell.

84:06

>> Yeah. So, uh, I guess when you're

84:08

dealing with authoritarian countries and

84:12

you don't have a free market to put the

84:13

stuff out there, you get a slightly

84:14

discounted price, right? Somebody's got

84:16

to skim something here or get a reason

84:17

and they got to ship it across the

84:18

world. Freeberg, your thoughts on this?

84:21

Do you have any concerns about the

84:24

nation building, etc. Putting in what

84:26

some people are saying is a puppet

84:27

president? Is it in the best interest of

84:30

the people of Venezuela? Are we doing uh

84:34

a solid for Venezuela to create more

84:36

stability by being the buyer of this? Um

84:38

or is this just something we have to do?

84:40

We have to control our hemisphere and we

84:42

have to be energy independent given the

84:45

state of the war with Iran and the

84:47

closure of the strait of Hormuz.

84:50

>> The biggest motivating factor may be

84:53

keeping this oil away from the

84:55

sweetheart deal

84:57

for Russia and China. If you look at the

85:00

historical tie-up with Venezuela and the

85:03

Maduro regime, it was a discounted oil

85:08

trade system. There's all these stories

85:10

about Maduro being the head of the snake

85:12

of all of this kind of illicit activity

85:16

and a lot of this was driven by Russia

85:18

and Chinese interest in the energy

85:20

reserves and they were providing support

85:22

and this actually provided capacity to

85:25

fund activities by the Russians in Cuba.

85:27

So there's a lot of this state acting

85:30

theory about what's the real motivation

85:32

for getting an energy deal done not just

85:34

in terms of is it good for America but

85:36

is it bad for America's enemies and that

85:39

that may be kind of a big motivation

85:40

around this. Now one of the more kind of

85:43

surprising outcomes over the last day is

85:45

you guys may remember I interviewed

85:47

Maria Karina Machado. She was the

85:49

individual who was running for president

85:53

and ended up having what was supposedly

85:56

an election that was not accurate and

85:58

she was supposed to have won and didn't

86:00

win. And yesterday she came out and said

86:04

that this Venezuelan government does not

86:06

have the authority to do this energy

86:09

deal with the US despite her

86:10

historically having been viewed as an

86:12

American ally. So, one thing to take

86:14

note of is that she was not given the

86:18

presidency and now she's saying this

86:20

government is illegitimate.

86:23

This government should not be allowed to

86:24

make these deals. We as the people of

86:26

Venezuela should feel angry and upset

86:28

and left out about this whole thing. So,

86:31

there seems to be kind of this now

86:33

political turning. I think I don't

86:34

really have a good sense and I think

86:36

it'd be interesting to know what do the

86:38

people in Venezuela think about this

86:39

deal. And to Sax's point, it seems like

86:42

it should be a good economic deal

86:43

relative to where they're coming from.

86:46

Will that actually translate into

86:47

improving the lives of the people in

86:49

Venezuela, which ultimately is what

86:51

matters here? And assuming that the

86:53

lives of the people in Venezuela are

86:56

improving rather than enriching a small

86:57

number of people in Venezuela, which is

86:59

what has happened historically in that

87:00

country under the last regime, then

87:03

there may be kind of a long-term

87:05

welcoming of this this deal. But I do

87:08

think there's two aspects to this. One

87:09

of which is just keeping America's

87:11

enemies at bay so that these energy

87:13

fields are not exploited by America's

87:15

enemies and second is ensuring that the

87:17

Venezuelan people realize the benefit of

87:20

this transaction

87:21

>> rather than it being a corrupt

87:22

government.

87:23

>> Provocative Freedberg in that we have

87:26

turned off Russia and China's access to

87:29

Iran's oil with our war with Iran now in

87:32

its seventh month and we took Venezuela

87:36

away. Are these two actions incredibly

87:39

provocative and have they had any kind

87:41

of a downside to China? Uh because they

87:44

seem to be all in on nuclear uh solar

87:47

and other uh modalities. So are these

87:50

two things super provocative and are

87:52

they going to cause us to get into an

87:54

escalation with China? The second

87:57

question I think is a little bit

87:58

independent, but I think China imports

88:00

like 11 million barrels a day of crude

88:03

oil.

88:04

>> Venezuela is only producing a million

88:05

barrels a day. So, if China's importing

88:07

11, well, they were they're importing 11

88:09

before the war. That number's actually

88:11

gone down a lot. Um, and we can talk

88:12

about why, but since the war started,

88:14

but China gets most of its oil from the

88:17

Middle East, Persian Gulf, and from

88:19

Russia. I mean, so Venezuela is a small

88:22

number. I mean, look, I think Freeberg's

88:24

right that that is a big part of our

88:25

motive is securing those reserves that

88:28

are in the Western Hemisphere. They are

88:30

massive. It's a very, again,

88:32

complimentary type of oil to the oil we

88:33

have. I think it's just um smart for

88:36

national security, smart economic deal.

88:38

Jake out, to your point, does this get

88:40

us more invested in Venezuela? I think

88:43

there is a little bit of a of a risk

88:44

there because if we're going to invest

88:46

billions of dollars in upgrading their

88:49

infrastructure so that we can produce 3

88:51

million barrels a day instead of one, we

88:54

need to know that that investment is

88:55

protected, we can't have some future

88:56

government coming along and just

88:57

nationalizing our American oil companies

89:00

over there, right? We need to know that

89:01

these business deals

89:02

>> that we're not going to get rug pulled

89:03

and they'll just seize our upgrades.

89:05

They could seize the upgrades.

89:06

>> Yeah,

89:07

>> this business deal is supposed to last

89:08

for 25 years. So, it does give us a

89:10

vested interest in making sure that the

89:13

Venezuelan government at least respects

89:15

our property rights. But I'm glad that

89:18

President Trump didn't put Machado in

89:21

charge because how's she going to stay

89:23

in power? Like what guns are going to

89:26

basically protect her? You know, it

89:29

takes men with guns to basically stay in

89:31

power in these countries and

89:33

>> you need a strong manwoman.

89:35

>> I'm not saying that it it can't be

89:37

democratic. I'm just saying that if

89:39

you're not installed in the power

89:40

structure there and have backers

89:44

in the military, things like that, then

89:46

it's very hard to stay in power. And

89:47

that's the kind of thing where we could

89:50

have to send American GIS in to protect

89:52

her. And that we don't want that, right?

89:54

So the nice thing about the Venezuela

89:56

situation is Doulsece Rodriguez and her

89:59

brother are basically running the

90:00

country. She was the number two. Now

90:03

she's running it. They appear to have

90:04

enough support from the establishment

90:07

there. And so like that's kind of what

90:10

the American interest is, I think, is

90:11

just to have a stable government there

90:13

that will basically conduct economic

90:15

relations with us.

90:17

>> Yeah.

90:17

>> Yeah. Chimoth, any thoughts here on

90:19

what's happening in

90:22

>> close to it? I don't I don't really

90:23

know.

90:24

>> Don't know. Okay, that's fair enough.

90:25

Fair enough. All right, there it is

90:27

everybody. Episode 288. Somehow this

90:31

band has kept it together for 288 albums

90:34

and tracks. We're going to make it to

90:36

300, boys.

90:37

>> I think we're in a good rhythm. The show

90:39

feels easier to do now than it did for a

90:41

long time.

90:42

>> Yeah. I wonder why. I wonder why.

90:45

>> The AI has been a very good good thing

90:46

for the pod.

90:47

>> We're partying like it's 1999 on the

90:49

pod. Let's GO TO CABO. LET'SING

90:52

GO. We'll see everybody in

90:54

>> love you guys. Love you besties. Byebye.

90:56

Bye.

90:58

>> Let your winners ride.

91:01

>> Rain.

91:06

>> We open sourced it to the fans and

91:07

they've just gone crazy with it. Love

91:09

you. Queen of

91:15

>> your

91:18

besties are

91:21

my dog taking notice your driveways.

91:26

>> Oh man, myasher will meet me at

91:28

>> We should all just get a room and just

91:30

have one big huge orgy cuz they're all

91:31

just useless. It's like this like sexual

91:33

tension that they just need to release

91:35

somehow.

91:38

Wet your feet.

91:42

>> We need to get merch.

91:51

I'm going all in.

Interactive Summary

This episode of the All-In podcast discusses the latest advancements in AI, including OpenAI's GPT-6, the emergence of a two-tier market for frontier and commodity intelligence, and the growing competitive landscape involving Anthropic and Grokbot. The group also debates the potential risks of AI agents, the role of effective altruism, and the political and economic implications of data center expansion, while comparing the current tech boom to the late 1990s dot-com era. Finally, the podcast touches upon geopolitical developments, specifically the U.S. securing oil field concessions in Venezuela following leadership changes.

Suggested questions

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