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Two Labs Are About to Take Half the World's New Compute - Dylan Patel

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Two Labs Are About to Take Half the World's New Compute - Dylan Patel

Transcript

44 segments

0:00

Anthropic and OpenAI are taking as much

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as 40 to 50% of compute [music] next

0:03

year. This centralization doesn't look

0:05

like it's slowing down or stopping. In

0:07

fact, it looks like it's only

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accelerating. [music] You know, the

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beginning of this year, Anthropic and

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OpenAI started at two for OpenAI and

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less than two for [music] Anthropic. End

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of this year, they're both above five.

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When you look at the incremental compute

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added, that's about 30% of the compute

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added [music] this year. And as we step

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forward to next year, given what's

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already been signed and penned and

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inked, you've got [music] something even

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more dramatic, right? For example,

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SpaceX is building a ton of compute. And

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they're actively [music] going to lease

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quite a bit of it to Anthropic and

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OpenAI most likely cuz they're the ones

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who have the marginal capability to pay

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the highest price. In addition, OpenAI

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and Anthropic are also starting to build

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their own compute. OpenAI with their own

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chips, Anthropic with TPUs that they're

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purchasing [music]

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from Google and deploying with

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Fluidstack. And so, when you ask, "Hey,

0:45

when does half of the world's

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incremental new compute go to just

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OpenAI and Anthropic?" I mean, it's it's

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really by the end of next year, it's

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already half of the incremental [music]

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compute is going to Anthropic and

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OpenAI.

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>> This very soon, you're saying maybe

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within a year and a half or two years

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that most of the world's compute is

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owned by two labs or at least are

1:01

serving the demand from two labs.

1:02

>> You've got them just controlling [music]

1:04

most of the usable, you know, flops in

1:07

the world on their own.

Interactive Summary

This video discusses the accelerating centralization of computing power by major AI research labs like OpenAI and Anthropic. It highlights how these two companies are projected to consume nearly 50% of the world's incremental compute by the end of next year through leasing agreements, partnerships, and internal chip development.

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