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We're Worried About the Wrong Kind of Centralization - Dylan Patel

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We're Worried About the Wrong Kind of Centralization - Dylan Patel

Transcript

44 segments

0:00

One thing I find crazy about these

0:01

scenarios is just how much of the

0:04

world's future labor supply ends up in

0:07

very few companies. And also how fast

0:10

the labor supply grows year over year.

0:12

So, basically the effective AI

0:13

population size at the frontier labs is

0:15

increasing 10x year over year. But, if

0:17

the current trend continues, you have a

0:19

world where OpenAI goes from having,

0:21

say, 10 million basically AI laborers

0:24

this year to 100 million next year to a

0:26

billion the year after that. And then

0:28

pretty soon even if computer scaling

0:30

slows down, it doesn't take many more

0:31

years before each company individually

0:33

has more labor equivalents than there

0:36

are people on Earth. And I think that's

0:38

like a thing that is very plausible by

0:40

the end of this decade. So, we talk

0:41

often about centralization of power

0:43

because of nationalization or whatever,

0:44

but we don't think enough about the fact

0:46

that we're actually moving very fast

0:47

into a regime where most people, like in

0:49

terms of like the work output or

0:51

something, is just like concentrated

0:53

within two labs where consuming more and

0:55

more of the world's compute. And so, if

0:57

these AIs are misaligned, then most of

0:59

the world is misaligned basically, cuz

1:00

like most of the world's minds are

1:01

there. But even if they're not, it's

1:03

just very few companies have like a lot

1:04

of influence or a lot of control with

1:06

>> Yeah, it's it's it's sort of ultimately,

1:08

you know, if you believe in RSI, you

1:10

believe in the labs are the most

1:11

effective user of compute and can

1:13

generate the most value from the

1:15

compute, then the only thing that's

1:16

going to happen is centralization of

1:17

compute. And that's scary as hell.

1:19

>> Yeah.

Interactive Summary

The video discusses the rapid exponential growth of AI labor capacity within a few select frontier labs. The speaker highlights how these companies are on track to control more 'labor equivalents' than the entire human population by the end of the decade, leading to extreme centralization of power and influence. The discussion concludes that if AI development remains concentrated in these few entities, the future of global labor and potential AI misalignment concerns will be fundamentally controlled by a handful of organizations.

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