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Can you compete can can you compete with
hundred billion dollars? Um and and and

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my answer is basically yes because
of the talent density you know I've said

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this before but uh you know the the the

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Anthropic is actually the fastest

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growing software company in history at

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the scale that it's at. Um so we grew

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from zero to 100 million in 2023 100

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million to billion in 2024 and this year

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we've we've grown from one billion to I

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think I said this before 4.5. So that

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that 10x a year I mean you know every

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every you know every year I like suspect
that we'll grow at that scale and and

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every year I'm almost afraid to say it
publicly because I'm like no it couldn't

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it couldn't possibly happen again.
So you know I think I think the growth at

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that scale like kind of speaks
for itself in terms of our ability to

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compete with the big players. We tried

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to plan very well for a world of 10x

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growth per year. Um, in the first

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quarter of this year, we saw,

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>> if you were to annualize it, 80x growth

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per year in in in in in in in in in

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revenue and usage. And and and so
that that that is the reason we have had

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difficulties with compute, right? We've
planned for anything from it only grows

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a little to it grows 10x and yet we saw

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80x. Um and and and so you know as you

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saw today with the the the the SpaceX

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compute deal, we're working as quickly

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as possible to provide more more compute

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than uh than than we have in the past.

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What happened? I'm always reminded
of like, you know, the the there's this

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famous scene in the movie Interstellar
where where they go to this, you know,

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planet that's very close to a black
hole and and so, you know, the planet has

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these waves that are like, you know,
2,000 ft high and and, you know, I I was

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a physicist. I know I know the math of

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general relativity how much things can
be um sheared but actually seeing it on

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human scale like there's something
deeply you know it's kind of deeply

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strange and unsettling about seeing it

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actually happen.

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>> Yeah. So, constitutional AI was uh was

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kind of an algorithm, a technique that

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that we developed kind of a waypoint on

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the path of trying to figure out how to

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train AI systems to do what we want and
not do things that are that are harmful

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>> that we don't want. Yeah.
>> We don't want. So, the basic idea is

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that you can write down a list of

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principles for how an AI
system should behave.

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We called that a constitution.

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And then you have

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your AI,

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still training, it's still learning, try

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out different things that it could do.

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So you ask it a question. Um, was the

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third president of the US Thomas

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Jefferson or Abraham Lincoln or Elon

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Musk? And it should prefer the the the
answer that's that's correct and that's

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more helpful. So um you you you you

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allow it to try many different possible
behaviors give you a lot of different

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answers >> and then you
ask it or you ask uh other

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AI

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>> which of these answers is most in

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accordance with the constitution. The

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reason why I why we use the word

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holography for this idea is that objects

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like our hand dropping a a apple falling

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towards the earth in a gravitational
universe are fundamentally being

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described by some lower dimensional

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theory that lives on an area. Just like

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holograms look like three-dimensional

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images, but fundamentally they're

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two-dimensional uh structures etched

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into uh into glass. So the idea is that

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uh our approach to quantum gravity
shouldn't take this reductionist route

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of taking things apart in space because

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really space is an illusion and instead

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there's this uh holographic description.

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So if you've absorbed that you should

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see that I'm telling you that quantum

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gravity is really very very
different from uh the other