WEBVTT

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Basically, the whole crypto industry
was in the process of moving offshore and

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America was being deprived
of this industry of the future.

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>> I think the country had a significant
victory with the president signing the

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stablecoin bill into law. I think
that the positive consequences of that law

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have been even bigger than we thought.

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>> The legislation was declared dead
many times. I think that we will get the

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clarity act done. This will provide
the regulatory framework for all the other

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tokens besides stable coins.
There are a lot of twists and turns in the

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legislative process. It's definitely
true that you don't want to see the

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sausage getting made. >> [music]

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[music]

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>> Welcome to Web 3 with A6Z Crypto.

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Today's episode is a special
crossover with the A16Z podcast [music]

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featuring David Saxs, the Trump
administration's AI and cryptozar in

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conversation [music] with A16Z

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co-founders Mark Andre and Ben Horowitz,

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and general partner Eric Torenberg.

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They dig into how the US is approaching
AI and crypto policy, the fight over

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open- source software, and what's
at stake in the global tech race with

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China. Be sure [snorts] to follow and

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subscribe to the A16Z podcast for more
conversations like this one. David,

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welcome to the A6Z podcast.
Thanks for joining.

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>> Yeah, good to be here. So, David,
you're the AI and cryptosar. Why don't you

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first talk about why it makes sense
to have those as a portfolio? What do they

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have to do with each other? and then
I'll have you lay out what's the what's

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the what's the Trump plan on those
those two categories and how we're doing.

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>> Well, there are two technologies that I

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guess are relatively new and so there's

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a lot of fear of them and uh I think
people don't know that much about them.

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They don't really know what to make
of them. I think that from a policy

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standpoint and we can talk about
the similarities and differences. The the

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approaches are a little different. Um,

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I think with crypto, the main thing

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that's needed is regulatory certainty.

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You know, all the entrepreneurs I've
talked to over the years, they they all

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say the same thing, which is just tell
us what the rules are. We're happy to

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comply, but people, you know, watch
them won't tell us what they And in fact,

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during the Biden years,

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>> you had um an SEC chairman who uh took

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an approach which I guess has been
called um regulation through uh

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enforcement, which basically means you
just get prosecuted. They don't tell you

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what the rules are. You just basically
get indicted and then everyone else is

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supposed to divine what the rules are um

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as you get prosecuted and fined and

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imprisoned. So that was the approach for

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several years and um you know and and

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and there and as a result of that

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basically the whole crypto industry was

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in the process of moving offshore and uh

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and America I think was being deprived

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of this industry of the future. And so

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President Trump during his campaign and

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last year he gave a now famous speech
in Nashville in which he declared that he

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would make the United States the crypto
capital of the planet and that he would

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fire Gendler. That was like
the big applause line. I think he

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>> he's applauded. [laughter] >>
He's talked about how surprised he was

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that you know what a big uh you know
ovation he got at that. So he said it

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again and you know the crowd erupted
again. But in any event, he promised

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basically to provide this clarity so
that um you know the the industry would

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um understand what the rules are, be
able to comply. In turn, that gives that

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should provide uh greater protection for

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consumers and um businesses, everyone

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who's part of the ecosystem. Uh and it
makes America more competitive. So I

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think that's sort of the the the the

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mandate on on crypto is uh it's in a way

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it's pro- regulation. is basically we we

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want to put in place regulations.
In a in a way, AI is kind of the opposite

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where I think the Biden administration
was too heavy-handed. They were starting

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to really regulate this area without
even understanding what it was. They

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weren't they had no one had really taken
the time to understand uh how AI was

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even being used, what the real um
dangers were. there was this intense

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fear-mongering

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and as a result of that, you know, the

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approach of the B administration
was uh they were in the process of of

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implementing very heavy-handed
regulations on both the software and

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hardware side. And we can drill into

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that. I think that with the Trump

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administration, um the approach has been

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that we want the United States
to win the AI race. Um it's a global

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competition. Um, sometimes we mention
the fact that China is our probably our

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main competitor in this area. They're
the only other country that has the

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technological capability, the talent,

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the knowhow, the um expertise to to beat

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us in this area. And we want to make
sure the United States wins. Um, and of

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course in the US, it's not really
the government that's responsible for

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innovation, it's the private sector.
So that means that our companies have to

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win. And if you're imposing all sorts
of crazy um burdensome regulation on them,

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then that's going to hurt not not help.

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So um the president gave a I think very

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important AI policy speech a couple
months ago on July 23rd where he

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declared in no uncertain terms that we
had to win the AI race and he laid out

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several pillars on on how we do that. It

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was pro- innovation, pro infrastructure,
which also means uh pro energy and pro

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export. And we can drill into all those
things if you want, but that was sort of

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the the high line. And so I think that,

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you know, again with with AI, um the idea
is kind of like h how do we unleash

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innovation? And I think with crypto,
it's been more about how do we create

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regulatory certainty? Um but you know,
in terms of my role, like what you know,

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why why am I doing both? I mean, I think
the common denominator is just again

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these are new technologies. They um you

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know they're both um you know obviously
come from from the tech industry which

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has a very different culture than
Washington does and I kind of see as my

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role to help be a bridge between what's

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happening in Silicon Valley and what's

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happening in Washington and helping

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Washington understand not just
the policy that's needed or or the

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innovation that's happening but also
kind of culturally you know what what

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makes the tech industry different
and special and and how that needs to be

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protected.
um from government doing something

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excessively heavy-handed. >> So um
so David, you know, we're going to

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talk a lot about AI today, but just
on crypto, I've I've had this interesting

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experience this year kind of after the,
you know, election, you know, kind

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[snorts] of people adjusted to the
change uh of government. And I've had

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this discussion with, you know, a number
of people who, let's say, in in politics

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who were previously anti-crypto who have
been, you know, trying to figure out how

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to kind of get to a more sensible
position. Um and then also actually

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people in the in the financial services
industry who kind of followed it from a

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distance um and maybe you know
participated in the you know the various

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debanking things without really
understanding what was happening. Um but

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the the common denominator has been
they're like you know Mark I didn't

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really understand um how bad it was. Um,

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I basically thought you guys in tech
were basically just whining a lot. Um,

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and you know, pleading as a special
interest, um, and kind of doing the

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normal thing. And I figured, you know,
the the, you know, the horror stories

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were kind of made up, you know, of people
getting prosecuted and, you know,

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entrepreneurs getting their houses
raided by the FBI and, you know, like

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the whole paniply of things that,
you know, that happened and like I didn't

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really I I now in retrospect now that I
now that I go back and look, I'm like,

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"Oh my god, this was actually much worse
than I thought." Um, what do you do you

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do you have that experience? as as as
you're in there and kind of as you now

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have like a complete view of everything
that happened like do you think people

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understand actually how bad it was?

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>> I mean I think it's a a great point.
I mean I didn't really know either. You

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kind of heard um generally I mean we
knew that there was debanking going on

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and and by the way it wasn't just crypto
companies that were being debanked but

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their founders were being debanked
personally. So if you were the founder

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of a crypto company you couldn't open
a bank account. I mean that's a huge

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problem. It's like how do you how do you
transact? How do you make payments? um

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how do you pay people?
I mean it basically deprivives you of a

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livelihood. It's a very extreme form
of censorship. So that was definitely

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happening. And then of course you have
all the the prosecutions uh that the SEC

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was behind. So yeah, it was it was

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really bad. I remember um back in I

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think it was in March uh we had a crypto

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summit at the White House and um one of

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the attendees said that you know a year
ago uh I would have thought it was more

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likely that I'd be in jail than that I'd
be at the White House. Um and so it was,

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you know, it was a really big milestone
for for the industry. They had never

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ever received any kind of recognition
like that. The idea that this was even a

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industry that you would do an event at

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the White House. I mean um at a minimum

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I think crypto is seen as very day class

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A. Um but uh but in any event, yeah,
no, it's been a it's been a huge shift. I

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mean, we basically have have um have

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stopped that. And um and you know,
it was very unfair because again, these

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founders wanted to comply with the rules,
but they weren't told what they

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were. Um and that was all part of a
deliberate strategy, I think, to drive

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crypto offshore.

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>> Yeah. One of the things that um is very

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different between crypto and AI
that we've noticed is that on the crypto

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front, everybody just wanted rules. um

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and the industry was relatively unified.

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Whereas in AI, we've seen very like

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interesting kind of calls coming
from inside the house with uh certain

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companies really going for regulatory
capture. You know, people have early

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leads saying let's cut off all new
companies from developing AI and so

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forth. Um what do you make of that and

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and where do you think that's going?

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>> I think it's I think it's a very big

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problem. Um I actually recently
criticized uh one of our AI model

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companies for engaging in a
regulatory capture strategy.

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>> Yes. Um >> it's a very fair
criticism [laughter] by the way.

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>> It is very fair
and actually um you know

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of course they denied it and then uh

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should I tell the story? I mean

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>> yes rarely do you
get vindicated on on X

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so so thoroughly and completely as I
did on this because [laughter] after this

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company was basically anthropic after
they denied it. There was um I mean what

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basically happened is that Jack Clark
who's a co-founder and head of policy

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for anthropic gave a speech at a a

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conference where he said that uh he

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compared fear of AI to a child um you

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know seeing monsters in the dark or or
or thinking there were monsters in the

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dark and but then you turn the lights on

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and the monsters are there. I thought

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that was such a um ridiculous analogy. I

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mean it's basically purile. I mean,
it's it's so childish just to be almost

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self-indicting because you're basically
admitting the fear is made up, not real.

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>> Uh, in any event, so I said, well, this
is like fear-mongering and part of the

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regulatory capture strategy. And of
course, they denied it. But then um a

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lawyer who was in the crowd at his
speech said, "Well, yeah, but Jack's not

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telling you what he said during the Q&A,

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which he basically admitted that
everything that Anthropic was doing was

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uh you know, with with like things
like SB53, which is supposedly just

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implementing transparency." He said,
"No, that's all that he admitted that

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was just a stepping stone to their real
goal, which was to get an approval, a

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system of pre-approvals in Washington

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before you can release new models." and

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he admitted as part of the Q&A that
making people very afraid was part of

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their strategy. So again, just as much

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of a smoking gun as you could ever get

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um in a in a spaton X. But the reason

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why I think that [snorts] that approach

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is so damaging is that the thing that's

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uh really made I think Silicon Valley
special over the past several decades is

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permissionless innovation. Right?
It's that two guys in a garage can just

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pursue their idea. you know, maybe they
raise some capital from angels or VC

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firms. B basically people who are
willing to lose all of their money and

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these are people who, you know, are
young founders. They could also be, you

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know, it could be the the the dropout,
the future dropout in a dorm room and

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they're able just to pursue their idea.

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And um and the only reason that I think

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has happened in Silicon Valley whereas

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you look at in you know industries like

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um I don't know like pharma or um you
know healthcare or defense or banking or

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these highly regulated industries where
you just don't see a lot of startups is

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because they're all heavily regulated
which means you have to go to Washington

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to get permission to do things. And the
thing I've seen in Washington is just

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that, you know, the approvals get set up

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for reasons, but those reasons very

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quickly stop mattering. And it just
matters like how good your government

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affairs team is at navigating through
the bureaucracy and figuring out how to

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get those approvals. And it's not
something that your typical startup

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founders are going to be good at. Um,
it's something that big companies get

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good at because they've got the resources.
And that's exactly what

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regulatory capture means. So the the

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whole basis of Silicon Valley success,

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the reason why it's really the the crown

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jewel of the American economy and the
envy of the rest of the world. We see

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all these attempts by all these other
countries to create their own Silicon

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Valley. The the reason that's the case
is because of permissionless innovation.

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And what is being contemplated and

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discussed and implemented with respect
to AI is an approval system for both

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software and hardware. Uh and this is
not theoretical. This has already been

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happening on the the hardware side.
One of the last things that the Biden

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administration did the last week
the Biden administration was um impose the

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so-called Biden diffusion rule which

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requires that every sale of a GPU on

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Earth be licensed by the government

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which is to say pre-approved um unless

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it fits into some category of exception

00:13:37.280 --> 00:13:39.677
but basically the overall idea is that

00:13:39.760 --> 00:13:42.077
you know uh compute is now going to be

00:13:42.160 --> 00:13:44.877
um a licensed and and pre-approved um

00:13:44.960 --> 00:13:47.837
category. uh we rescended that. Um and

00:13:47.920 --> 00:13:49.677
then on the the software side, like I

00:13:49.760 --> 00:13:52.317
said, I mean the goal very clearly is to

00:13:52.400 --> 00:13:55.277
start with these reporting requirements

00:13:55.360 --> 00:13:57.917
to the government to the states and then

00:13:58.000 --> 00:14:02.397
where that ramps up to is you have
to go to Washington to get permission uh

00:14:02.480 --> 00:14:04.797
before you release a new model. And um

00:14:04.880 --> 00:14:06.557
you know it's this would drastically

00:14:06.640 --> 00:14:09.597
slow down innovation and make America

00:14:09.680 --> 00:14:12.237
less competitive. I mean, you know,

00:14:12.320 --> 00:14:16.637
these approvals can take months, they
can take years. Uh, when models are when

00:14:16.720 --> 00:14:19.597
when a new chip is released every year
and we have licenses that have been

00:14:19.680 --> 00:14:23.837
sitting in the hopper for 2 years,
I mean, the requests are obsolete by the

00:14:23.920 --> 00:14:27.517
time they finally get approved. And um,
that would be even more true with models

00:14:27.600 --> 00:14:31.197
where, you know, the the cycle time is,
you know, like three three or four

00:14:31.280 --> 00:14:35.197
months for a new model. I mean,
you know, and and and what exactly is a

00:14:35.280 --> 00:14:39.677
bureaucracy in Washington going to know
about uh this technology that, you know,

00:14:39.760 --> 00:14:42.957
that they're that they're going to be
in a good position to to approve it. Any

00:14:43.040 --> 00:14:45.997
event, but this is what is being
contemplated right now and I think it

00:14:46.080 --> 00:14:50.477
would be a disaster for for Silicon
Valley, but also and for innovation, but

00:14:50.560 --> 00:14:52.397
therefore for American competitiveness

00:14:52.480 --> 00:14:56.317
and I think we will lose the AI race uh

00:14:56.400 --> 00:15:00.237
to countries like China if you know if
this is if this is the set of rules that

00:15:00.320 --> 00:15:02.877
we have. >> Yeah.
One of the really diabolical

00:15:02.960 --> 00:15:05.437
things about their argument is if they

00:15:05.520 --> 00:15:10.317
really believe there was a monster, then
why are they buying GPUs like at a rate

00:15:10.400 --> 00:15:13.597
faster than anybody? And then the other
thing that we know from being in the

00:15:13.680 --> 00:15:16.797
industry is their reputation is the

00:15:16.880 --> 00:15:20.637
literally the worst security practices
in the entire industry with respect to

00:15:20.720 --> 00:15:23.997
their own code. So if you were building
this monster, the last thing you'd want

00:15:24.080 --> 00:15:27.997
to do is like leave a bunch of holes
around for people to hack it. Um, so

00:15:28.080 --> 00:15:31.757
they don't believe anything they're
saying. It's like completely made up to

00:15:31.840 --> 00:15:35.517
try and maintain their lead
by the really psychotic.

00:15:35.600 --> 00:15:37.917
>> I think there is um
I think it's a heady

00:15:38.000 --> 00:15:42.637
drug to basically say that um that you

00:15:42.720 --> 00:15:47.437
know we're we're creating this you know
new super intelligence that is going to

00:15:47.520 --> 00:15:51.117
could destroy humanity but we're
the only ones who are virt virtuous enough

00:15:51.200 --> 00:15:54.797
>> to ensure [laughter] >> that
this is done correctly. Right. And

00:15:54.880 --> 00:15:58.557
I think that you know >> it's
a good recruiting tool. Yeah. join

00:15:58.640 --> 00:16:02.157
the virtuous team. >> Yes.
Um I think that's right.

00:16:02.240 --> 00:16:04.557
>> The >> but yeah but I
think that is definitely

00:16:04.640 --> 00:16:08.957
um you know I I I think of of all
the companies that particular one has been

00:16:09.040 --> 00:16:12.477
the most aggressive uh in terms
of the regulatory capture

00:16:12.560 --> 00:16:15.197
and pushing these um for these these

00:16:15.280 --> 00:16:20.077
regulations and just I mean let's just
bring it up a level just doesn't have to

00:16:20.160 --> 00:16:22.157
be about them. Um there's now something

00:16:22.240 --> 00:16:24.397
like 1,200 bills going through state uh

00:16:24.480 --> 00:16:27.997
legislatures right now to regulate AI.

00:16:28.080 --> 00:16:31.517
Uh 25% of them are in um the the top

00:16:31.600 --> 00:16:33.837
four blue states which are California,

00:16:33.920 --> 00:16:38.797
New York, Colorado, and Illinois. Uh
over a 100 measures have already passed.

00:16:38.880 --> 00:16:43.517
Um I think three of them just got signed
in the last month in California alone.

00:16:43.600 --> 00:16:47.677
I'll tell you just let me tell you what
Colorado is actually Colorado, Illinois,

00:16:47.760 --> 00:16:52.317
and California have all done some
version of a thing called algorithmic

00:16:52.400 --> 00:16:56.557
discrimination. Um,
which I think is it's really

00:16:56.640 --> 00:16:58.557
troubling where where it's headed. Um,

00:16:58.640 --> 00:17:00.877
what what this concept means is that if

00:17:00.960 --> 00:17:04.877
the model produces an output

00:17:04.960 --> 00:17:08.717
that has a disparate impact
on a protected group, then that is

00:17:08.800 --> 00:17:11.357
algorithmic discrimination. And the list

00:17:11.440 --> 00:17:14.317
of protected groups is um is very long.

00:17:14.400 --> 00:17:16.237
It's more than just the the the usual

00:17:16.320 --> 00:17:18.797
ones. So for example, in Colorado,

00:17:18.880 --> 00:17:22.557
they've defined um people who um may not

00:17:22.640 --> 00:17:25.837
have English language proficiency as a

00:17:25.920 --> 00:17:29.757
protected group. So I guess if the model
says something bad about, you know,

00:17:29.840 --> 00:17:33.197
illegal aliens and that would be,
you know, that would basically violate the

00:17:33.280 --> 00:17:36.557
law. I don't know exactly how model

00:17:36.640 --> 00:17:41.277
companies are even supposed to comply
with this rule. I mean presumably

00:17:41.360 --> 00:17:44.157
presumably discrimination is already
illegal. So if you're a business and you

00:17:44.240 --> 00:17:46.957
violate the civil rights laws and you
engage in discrimination, you're already

00:17:47.040 --> 00:17:48.557
liable for that. You know, there's no

00:17:48.640 --> 00:17:51.517
reason, you know, if if you happen to um

00:17:51.600 --> 00:17:56.237
you know make that mistake and you use
any kind of tool in the process of doing

00:17:56.320 --> 00:17:59.437
it, we don't really need to go after the
tool developer because we can already go

00:17:59.520 --> 00:18:02.237
after the business that's made that

00:18:02.320 --> 00:18:04.637
decision. But the whole purpose of of

00:18:04.720 --> 00:18:07.837
these laws is to get at the tool they're

00:18:07.920 --> 00:18:10.797
making. not just the the business that

00:18:10.880 --> 00:18:15.597
is using AI liable, they're making the
tool developer liable. And I don't even

00:18:15.680 --> 00:18:18.797
know how the tool developer is supposed
to anticipate this because how do you

00:18:18.880 --> 00:18:22.297
know all the ways that your tool
is going to be used? How do you

00:18:22.380 --> 00:18:26.157
[clears throat] know that um that this
output, you know, especially if the

00:18:26.240 --> 00:18:28.957
output is 100% true and accurate and the

00:18:29.040 --> 00:18:32.477
model is doing its job? um you know then

00:18:32.560 --> 00:18:36.877
how are you supposed to know that that
was that output was used as part of a

00:18:36.960 --> 00:18:39.277
decision that had a disperate impact?

00:18:39.360 --> 00:18:43.117
Nevertheless, you're liable.
And the only way that I can see for model

00:18:43.200 --> 00:18:44.557
developers to even attempt to comply

00:18:44.640 --> 00:18:47.837
with this is to build a DEI layer into

00:18:47.920 --> 00:18:52.957
their models that tries to anticipate
could this answer have a disparit

00:18:53.040 --> 00:18:54.477
impact? And if it does, we either can't

00:18:54.560 --> 00:18:56.637
give you the answer. We have to sanitize

00:18:56.720 --> 00:19:00.557
or distort the answer. Uh, and you know,

00:19:00.640 --> 00:19:04.157
you just take this to its logical
conclusion and we're back to, you know,

00:19:04.240 --> 00:19:07.757
uh, woke AI, which by the way
was a major objective of the Biden

00:19:07.840 --> 00:19:12.477
administration. Um, that that Biden
executive order on AI that we rescended

00:19:12.560 --> 00:19:15.997
as part of the Trump administration had
something like 20 pages of DEI language

00:19:16.080 --> 00:19:18.557
in it. They were very
much trying to promote

00:19:18.640 --> 00:19:22.157
>> uh, DEI values,
they called it, in models

00:19:22.240 --> 00:19:25.197
>> and then we saw what the result of that
was. you know, uh, it was, you know, we

00:19:25.280 --> 00:19:28.797
saw the whole black George Washington
thing where history was being rewritten

00:19:28.880 --> 00:19:31.437
in real time because somebody built, you

00:19:31.520 --> 00:19:34.317
know, a DEI layer into the model. Um,

00:19:34.400 --> 00:19:39.117
and, um, and I, you know, and I,
I almost feel like the term woke AI is

00:19:39.200 --> 00:19:42.317
insufficient >> to explain
what's going on because it

00:19:42.400 --> 00:19:45.357
somehow trivializes it. I mean, what
we're really talking about is Orwellian

00:19:45.440 --> 00:19:47.917
AI. You know, we're talking about AI

00:19:48.000 --> 00:19:52.477
that um that lies to you, that um that

00:19:52.560 --> 00:19:55.517
distorts an an answer that rewrites

00:19:55.600 --> 00:19:59.677
history in real time to serve a current
political agenda of the people who are

00:19:59.760 --> 00:20:02.157
in power. I mean, it's it's um it's very

00:20:02.240 --> 00:20:04.957
Orwellian and um and we were definitely

00:20:05.040 --> 00:20:07.437
on that path before President Trump's

00:20:07.520 --> 00:20:09.517
election. Uh it was part of the Biden

00:20:09.600 --> 00:20:14.717
EO. We saw it happen, you know, in in
the release of that first Gemini model.

00:20:14.800 --> 00:20:16.477
uh that was not an accident that you

00:20:16.560 --> 00:20:18.797
know that th those distorted outputs

00:20:18.880 --> 00:20:22.717
came from somewhere. Um so it was you

00:20:22.800 --> 00:20:26.397
know to just to me this is the the

00:20:26.480 --> 00:20:30.317
biggest risk of AI actually is it's not

00:20:30.400 --> 00:20:33.997
it was not described by James Cameron it
was described by George Orwell you know

00:20:34.080 --> 00:20:38.157
it's in my view it's not
the Terminator it's 1984

00:20:38.240 --> 00:20:40.877
that um you know that as AI eats the

00:20:40.960 --> 00:20:43.037
internet and becomes the main way that

00:20:43.120 --> 00:20:46.237
we interact and get our information

00:20:46.320 --> 00:20:49.517
online that it'll be used by the people

00:20:49.600 --> 00:20:52.317
in power to um to control the

00:20:52.400 --> 00:20:54.317
information we receive. Um that it'll

00:20:54.400 --> 00:20:56.957
contain an ideological bias that

00:20:57.040 --> 00:21:01.917
essentially it'll censor us. All
that trust and safety apparatus that was

00:21:02.000 --> 00:21:05.197
created for social media will be ported
over to this new world of AI. Mark, I

00:21:05.280 --> 00:21:07.757
know that you've spoken about this quite
a bit. I think you're absolutely right

00:21:07.840 --> 00:21:11.917
about that. And then on top of that,
you've got the surveillance um issues

00:21:12.000 --> 00:21:15.597
where, you know, AI is going to know
everything about you. Uh it's going to

00:21:15.680 --> 00:21:17.837
be your kind of personal assistant. And

00:21:17.920 --> 00:21:21.357
so it's kind of the perfect tool for the

00:21:21.440 --> 00:21:24.237
government to um monitor and control

00:21:24.320 --> 00:21:28.877
you. And to me that is by far
the biggest risk of of AI. And that's the

00:21:28.960 --> 00:21:32.717
thing we should be working towards
preventing. And the problem is a lot of

00:21:32.800 --> 00:21:35.517
these regulations that are being whipped

00:21:35.600 --> 00:21:38.237
up by these um fear-mongering

00:21:38.320 --> 00:21:40.077
techniques. They're actually empowering

00:21:40.160 --> 00:21:43.277
the government to uh to engage in this

00:21:43.360 --> 00:21:45.997
type of control that I think we should

00:21:46.080 --> 00:21:50.637
all be very afraid of. actually is Sam
Alman earlier this week said that in

00:21:50.720 --> 00:21:52.877
2028 or by 2028 he expects to have

00:21:52.960 --> 00:21:55.837
automated researchers. I'm I'm curious

00:21:55.920 --> 00:21:59.997
just for your sort of state of of AI
sort of model development or just

00:22:00.080 --> 00:22:03.917
progress in general and what do you
think are the implications? Some people

00:22:04.000 --> 00:22:06.797
have been sort of you know saying that

00:22:06.880 --> 00:22:11.677
you know AGI is two years away sort
of the AI 2027 papers the old Ashen Brener

00:22:11.760 --> 00:22:14.717
situational awareness papers.
I'm curious kind of what's your reading of

00:22:14.800 --> 00:22:17.757
the of the state of play in terms
of a AI development and what what are the

00:22:17.840 --> 00:22:22.157
implications from that? >> So so
my sense is that um people are in

00:22:22.240 --> 00:22:25.357
Silicon Valley are kind of pulling
back from the let's call it imminent AGI

00:22:25.440 --> 00:22:28.557
narrative. Um I saw Andre Karpathy gave

00:22:28.640 --> 00:22:33.837
an interview where all of a sudden he's
>> he's um rewritten this and he says AGI

00:22:33.920 --> 00:22:37.917
is at least a decade away. He's
basically saying that um that you know

00:22:38.000 --> 00:22:41.357
reinforcement learning has its limits.
I mean it's it's very useful. It's the

00:22:41.440 --> 00:22:44.717
main paradigm right now that they're
making a lot of progress with. But he

00:22:44.800 --> 00:22:48.077
says that actually the way that
humans learn is not really through

00:22:48.160 --> 00:22:51.437
reinforcement. We do something a little
different, which I think is a good thing

00:22:51.520 --> 00:22:55.757
because it means that human and AI will
be synergistic, right? I mean that the

00:22:55.840 --> 00:22:59.517
AI's um understanding if it's based
on RL will be a little different than the

00:22:59.600 --> 00:23:02.717
way that we intuit it and and reason. Uh

00:23:02.800 --> 00:23:06.717
but in any event, I I sense more
of a pullback from this imminent AGI

00:23:06.800 --> 00:23:10.877
narrative. um you know the idea that AGI
is two years away. Of course it's like

00:23:10.960 --> 00:23:14.957
kind of unclear what people mean by AGI
but it's kind of you know was used in

00:23:15.040 --> 00:23:18.957
this like scary way that um it's kind
of this super intelligence that would grow

00:23:19.040 --> 00:23:23.997
beyond our control. Um I feel like
people are pulling back from that and

00:23:24.080 --> 00:23:25.837
understanding that yes we're still

00:23:25.920 --> 00:23:28.077
making a lot of progress and the

00:23:28.160 --> 00:23:31.597
progress is amazing but at the same time

00:23:31.680 --> 00:23:35.277
you know what we mean
by intelligence is multifaceted

00:23:35.360 --> 00:23:38.477
and it's not like you know there's
progress being made along some

00:23:38.560 --> 00:23:40.557
dimensions but it's not along every

00:23:40.640 --> 00:23:42.077
dimension.

00:23:42.160 --> 00:23:46.077
Um, and so therefore I think again I

00:23:46.160 --> 00:23:49.117
would just I mean I've described
actually the situation we're in right

00:23:49.200 --> 00:23:53.357
now as a little bit of a Goldilock
scenario where um you know the extremes

00:23:53.440 --> 00:23:58.877
would be you know you kind of have the
the scary Terminator situation imminent

00:23:58.960 --> 00:24:02.237
super intelligence that'll grow beyond
our control on the other the other

00:24:02.320 --> 00:24:05.277
narrative you hear in the press a lot
is that we're in a big bubble. So in other

00:24:05.360 --> 00:24:09.037
words the whole thing is fake >>
and the media is basically pushing both

00:24:09.120 --> 00:24:12.797
narratives at the same time. >> Yeah.
Um, but any event, I think that

00:24:12.880 --> 00:24:14.237
the truth is is more in the middle.

00:24:14.320 --> 00:24:15.677
That's kind of a Goldilock scenario

00:24:15.760 --> 00:24:17.757
where um we're seeing a lot of

00:24:17.840 --> 00:24:21.437
innovation. I think the um the progress

00:24:21.520 --> 00:24:24.557
is impressive. Uh it's I think we're

00:24:24.640 --> 00:24:29.517
going to see big productivity gains in
the economy from this. But uh but I like

00:24:29.600 --> 00:24:32.557
the observations that Bology made
recently where he said there's a couple

00:24:32.640 --> 00:24:34.797
of things that really struck me. One was

00:24:34.880 --> 00:24:38.077
um AI is polytheistic, not monotheistic.

00:24:38.160 --> 00:24:42.877
Meaning what we're seeing is many
instead of just one all- knowing all

00:24:42.960 --> 00:24:47.517
powerful god. What we're seeing
is a bunch of smaller deities more

00:24:47.600 --> 00:24:49.677
specialized models

00:24:49.760 --> 00:24:52.797
um you know uh you know it's it's not

00:24:52.880 --> 00:24:57.037
that sort of um we're not on that
kind of recursive self-improvement

00:24:57.120 --> 00:25:00.797
uh track just yet but you know we're
seeing many different kinds of models

00:25:00.880 --> 00:25:03.117
make progress in different areas. Um and

00:25:03.200 --> 00:25:08.237
then the other the other um one was just
his observation that AI was um was

00:25:08.320 --> 00:25:11.677
middle to middle whereas humans are end
to end and therefore the relationship is

00:25:11.760 --> 00:25:16.077
is pretty synergistic and um I think
that's right. I mean I think I think all

00:25:16.160 --> 00:25:19.997
th those observations are like resonate
with me in terms of where we're at right

00:25:20.080 --> 00:25:23.277
now. >> Yeah. And that that that's very
consistent with what we're seeing as

00:25:23.360 --> 00:25:26.477
well where um you know ideas that we

00:25:26.560 --> 00:25:29.517
thought would for sure get subsumed by

00:25:29.600 --> 00:25:33.677
the big models are becoming amazingly

00:25:33.760 --> 00:25:36.157
differentiated businesses. Um just

00:25:36.240 --> 00:25:40.077
because the fat tail of the universe is

00:25:40.160 --> 00:25:43.757
very fat and you need really kind of

00:25:43.840 --> 00:25:48.077
specific understanding of certain
scenarios to build an effective model

00:25:48.160 --> 00:25:52.077
and that that's just how it's going. you
know, no model has just like figured out

00:25:52.160 --> 00:25:55.517
how to do everything. >> Yeah.
I mean, and the models work best

00:25:55.600 --> 00:25:58.717
when they have context, you know, and um

00:25:58.800 --> 00:26:02.557
the more I mean, we've all seen this,
the more general your prompt, the less

00:26:02.640 --> 00:26:04.797
likely it is that you're going to be

00:26:04.880 --> 00:26:07.597
able to um you know, get get a great

00:26:07.680 --> 00:26:10.717
response. And um I don't know, if you

00:26:10.800 --> 00:26:14.157
tell the AI uh you know, uh something

00:26:14.240 --> 00:26:19.837
very general like um what business can
I create to make a billion dollars? it

00:26:19.920 --> 00:26:23.117
it's not going to give you something
actionable. You know, you have to get

00:26:23.200 --> 00:26:27.197
very specific about what you're trying
to do and it has to have access to

00:26:27.280 --> 00:26:28.637
relevant data and then it can give you

00:26:28.720 --> 00:26:32.397
some specific answers to to um to a

00:26:32.480 --> 00:26:34.477
prompt. Um and I think this is, you

00:26:34.560 --> 00:26:39.597
know, partly Bali's point, which is,
you know, the the the AI does not come up

00:26:39.680 --> 00:26:42.317
with its own objective. You know,
it needs to be prompted. It needs to be

00:26:42.400 --> 00:26:44.237
told what to do. We've seen no evidence

00:26:44.320 --> 00:26:46.717
that that's at this stage that that's

00:26:46.800 --> 00:26:49.517
changing. we're still at step zero in

00:26:49.600 --> 00:26:53.277
terms of AI kind of, you know, somehow

00:26:53.360 --> 00:26:58.077
coming up with its own objective. And um
uh and as a result of that, you know,

00:26:58.160 --> 00:27:00.957
the model has to be prompted and then it
gives you an output and that output has

00:27:01.040 --> 00:27:04.797
to be validated. You have to somehow
make sure it's correct because models

00:27:04.880 --> 00:27:09.597
can still be wrong. Um and more likely
you have to iterate a few times because

00:27:09.680 --> 00:27:13.197
it doesn't give you exactly what you want.
So now you kind of reprompt and

00:27:13.280 --> 00:27:14.397
we've all had this experience, right?

00:27:14.480 --> 00:27:17.117
you this is why like the chat the chat

00:27:17.200 --> 00:27:21.837
um interface is so is so necessary is
because it takes you a few times to kind

00:27:21.920 --> 00:27:26.477
of iterate to get to the output that
actually has value for you. Um again you

00:27:26.560 --> 00:27:30.237
know the humans are antenn and the the um
the AI is middle to middle. I just

00:27:30.320 --> 00:27:33.757
don't you know we haven't seen any
evidence that that fundamental dynamic

00:27:33.840 --> 00:27:38.557
is is changing. Um I mean I think you
know we're at the I mean I'd love to

00:27:38.640 --> 00:27:39.517
hear what you guys think about this.

00:27:39.600 --> 00:27:44.317
this. I mean, we're obviously at the
outset of of agents and um you know, an

00:27:44.400 --> 00:27:47.037
agents you can give an objective to and
then they'll be able to take tasks on

00:27:47.120 --> 00:27:50.797
your behalf, but I suspect that the
agents will work better as well when

00:27:50.880 --> 00:27:52.957
they have a much more narrow context.

00:27:53.040 --> 00:27:54.877
They're much less likely to go off the

00:27:54.960 --> 00:27:57.357
rails, start going in weird directions.

00:27:57.440 --> 00:28:02.317
If you give it like a very broad,
you know, a very broad task, it's just not

00:28:02.400 --> 00:28:06.157
likely to completely figure it out
before it needs human intervention. But

00:28:06.240 --> 00:28:09.757
if you give it something very narrow
to do, then it's much more likely to be

00:28:09.840 --> 00:28:12.957
successful. Um, so, you know, I would

00:28:13.040 --> 00:28:16.557
just guess like, okay, just you tell the

00:28:16.640 --> 00:28:20.317
AI, um, you know, sell my product. You

00:28:20.400 --> 00:28:23.757
know, it's it's very unlikely that it's
just going to figure out like what that

00:28:23.840 --> 00:28:26.237
means and how to do that. But if you're

00:28:26.320 --> 00:28:30.317
a sales rep and you're using the AI to

00:28:30.400 --> 00:28:33.677
help you, there's probably very specific
tasks that you can tell it to do and it

00:28:33.760 --> 00:28:37.677
would be much more successful doing that.
So I I just tend to think I mean

00:28:37.760 --> 00:28:40.957
this also kind of speaks to the whole
job loss narrative. I just think that

00:28:41.040 --> 00:28:43.037
this is going to be a very synergistic

00:28:43.120 --> 00:28:45.757
tool for a long time. I don't think it's

00:28:45.840 --> 00:28:49.197
going to wipe out um human human jobs. I

00:28:49.280 --> 00:28:52.397
don't think the need for human cognition

00:28:52.480 --> 00:28:56.877
is going away. Um it's something that you
know we'll we'll all use to kind of

00:28:56.960 --> 00:29:01.437
get this big productivity boost at least
for the foreseeable future. I mean, I

00:29:01.520 --> 00:29:03.677
don't know. I don't know if anyone can
any of us can predict what's going to

00:29:03.760 --> 00:29:07.037
happen beyond five or 10 years, but I
mean, that's just what I'm seeing right

00:29:07.120 --> 00:29:11.197
now. I don't know. I'm curious what
what are you guys seeing this front?

00:29:11.280 --> 00:29:14.157
>> Yeah, generally consistent with that,
things are improving. So, like on

00:29:14.240 --> 00:29:18.397
agents, um the the early agents,
the longer the running task, the more they

00:29:18.480 --> 00:29:23.437
would go like completely bananas and off
off the rails. People are working on

00:29:23.520 --> 00:29:27.037
that. I do think like
everything's working better

00:29:27.120 --> 00:29:30.077
in a context. I at least from what we've

00:29:30.160 --> 00:29:33.197
seen that will continue and even you

00:29:33.280 --> 00:29:35.357
know to your point on like super smart

00:29:35.440 --> 00:29:39.357
models there's like a dozen video models

00:29:39.440 --> 00:29:43.037
out there and there's not one that's the

00:29:43.120 --> 00:29:46.797
best at everything or even close
to the best at everything. There's like

00:29:46.880 --> 00:29:49.517
literally a dozen that are all the best

00:29:49.600 --> 00:29:53.517
at one thing. Um, and

00:29:53.600 --> 00:29:57.517
which is a little surprising at least
to me because you would think, you know,

00:29:57.600 --> 00:29:59.757
just the sheer size of the data would be

00:29:59.840 --> 00:30:04.157
an advantage, but even that um hasn't

00:30:04.240 --> 00:30:07.597
quite proven out. Uh, you know, it it is

00:30:07.680 --> 00:30:09.197
like depending on what you want. Do you

00:30:09.280 --> 00:30:12.237
want a meme? Do you want a movie? Do you

00:30:12.320 --> 00:30:15.997
want, you know, an ad? Like it's all

00:30:16.080 --> 00:30:20.877
very very different. And I think
this gets to your main point which is and

00:30:20.960 --> 00:30:23.997
Mark Zuckerberg said something that I
really liked. He's like intelligence is

00:30:24.080 --> 00:30:27.037
not life. Um and these things that we

00:30:27.120 --> 00:30:28.877
associate

00:30:28.960 --> 00:30:33.597
with life um like we have an objective.

00:30:33.680 --> 00:30:37.197
Um we have free will. We're sentient. uh

00:30:37.280 --> 00:30:42.477
th those just aren't part of a
mathematical model that is you know

00:30:42.560 --> 00:30:46.157
searching through a distribution and
figuring out an answer or even you know

00:30:46.240 --> 00:30:48.877
a model that you know through a

00:30:48.960 --> 00:30:50.717
reinforcement learning technique can

00:30:50.800 --> 00:30:54.397
kind of improve its logic. So it's just

00:30:54.480 --> 00:30:58.557
like the the the comparison
to humans I think is it just

00:30:58.640 --> 00:31:02.637
falls short in a lot of ways is what
we're seeing you know we're just different

00:31:02.720 --> 00:31:06.317
>> you know then the models are very good
at things they're better than humans at

00:31:06.400 --> 00:31:09.997
things already many things >>
the other thing I'd bring up related to

00:31:10.080 --> 00:31:14.557
this which is sort of this which I think
is a little orthogonal but also quite

00:31:14.640 --> 00:31:18.637
related which is sort of is is the future
of the world going to be one or a

00:31:18.720 --> 00:31:21.837
small number of companies or for that
matter governments or super AIs that

00:31:21.920 --> 00:31:25.197
kind of own and control everything. Um,
and sort of all the value rolls up into

00:31:25.280 --> 00:31:27.997
a handful of of entities and and you
know, and there you get into this

00:31:28.080 --> 00:31:30.237
there's like the hyper capitalist
version of it where a few companies make

00:31:30.320 --> 00:31:32.957
all the money or there's like the hyper
communist version of it where you have

00:31:33.040 --> 00:31:34.877
total state control or whatever.

00:31:34.960 --> 00:31:38.957
>> Um, you know, or is this a technology
that's going to diffuse out um and be

00:31:39.040 --> 00:31:42.797
like in everybody's hands um and be
a tool of empowerment and creativity um

00:31:42.880 --> 00:31:46.477
and individual effort, you know,
expressiveness and um and um and as a

00:31:46.560 --> 00:31:49.357
tool for basically everybody to use.
I think one of the really striking things

00:31:49.440 --> 00:31:52.877
about this period of time and you being
in this role is that this this is the

00:31:52.960 --> 00:31:57.117
period in which the scenario number
two is I think very clearly playing out

00:31:57.200 --> 00:32:01.197
which is that this is the time in which
AI is actually hyperdemocratizing.

00:32:01.280 --> 00:32:04.557
I think actually AI is actually
hyperdemocratized. It has spread to more

00:32:04.640 --> 00:32:07.917
individuals um uh both in the country
and around the world uh in the shortest

00:32:08.000 --> 00:32:10.637
period of time than any new technology
I think in history. you know, we're we're

00:32:10.720 --> 00:32:13.837
it's something like 600 million,
you know, users today on on rapidly on the

00:32:13.920 --> 00:32:17.037
way to a billion rapidly on the way
to to 5 billion, you know, kind of across

00:32:17.120 --> 00:32:20.317
all the all the consumer products. And
then and then the best AIS in the world

00:32:20.400 --> 00:32:21.997
are are in the consumer products, right?

00:32:22.080 --> 00:32:25.757
Um and so if you use the if you use,
you know, current day Chad GPT or Grock or

00:32:25.840 --> 00:32:29.437
any of these things like, you know,
I I I can't spend more money, you know, uh

00:32:29.520 --> 00:32:32.637
and uh and and get access to better AI,
it's it's it's in the consumer products.

00:32:32.720 --> 00:32:36.477
And so just in practice, what you have
like playing out in real time is this

00:32:36.560 --> 00:32:39.757
technology is going to be in everybody's
hands. Um, and everybody is going to be

00:32:39.840 --> 00:32:42.237
able to use it to optim, you know,
optimize the things that they do. Have

00:32:42.320 --> 00:32:45.757
it be a thought partner. Have it be, you
know, somebody, you know, a a a um, you

00:32:45.840 --> 00:32:48.797
know, an assistant for for for building
companies, you know, starting companies

00:32:48.880 --> 00:32:52.717
or creating art or, you know, doing all
the things that people want to do. Um,

00:32:52.800 --> 00:32:55.837
you know, my wife was just using it
this morning to design a new uh an

00:32:55.920 --> 00:32:58.697
entrepreneurship curriculum for our
10-year-old, right? Um, you know,

00:32:58.780 --> 00:33:01.037
[laughter] right? Like,
you know, like literally

00:33:01.120 --> 00:33:04.077
it's like, "Oh, wow. That's like
a really great idea." Um, and it took her

00:33:04.160 --> 00:33:06.877
a couple hours and she has like a full
curriculum for him to be able to start

00:33:06.960 --> 00:33:09.437
his first video game company and here's
all the different skills that he needs

00:33:09.520 --> 00:33:12.397
to learn and here's all the resources
and and like that's just a level of

00:33:12.480 --> 00:33:16.157
capability. I mean to to to you know
to have done that without without these

00:33:16.240 --> 00:33:19.517
modern consumer AI tools you know you'd
have to go like hire a you know special

00:33:19.600 --> 00:33:21.997
ed education specialist or something
[snorts] you know which is basically

00:33:22.080 --> 00:33:23.517
impossible um to do that kind of thing.

00:33:23.600 --> 00:33:26.317
So and and you know everybody has these
stories now in their lives among people

00:33:26.400 --> 00:33:30.477
they know. So we're we have the I think
we have like a lot of proof that the the

00:33:30.560 --> 00:33:32.957
track that this on is that this is going
to be in everybody's hands and in fact

00:33:33.040 --> 00:33:35.997
that is going to be a really good thing
and and and I think and I think David I

00:33:36.080 --> 00:33:39.357
think you guys are really playing
a key role in making making it happen.

00:33:39.440 --> 00:33:42.157
>> I think it's so important that this um

00:33:42.240 --> 00:33:44.717
technology remain decentralized because

00:33:44.800 --> 00:33:49.277
the kind of the Orwellian concern
is kind of the ultimate centralization

00:33:49.360 --> 00:33:52.877
>> and fortunately so far what we're
seeing in the market is that it's hyper

00:33:52.960 --> 00:33:55.037
competitive. There's five major model

00:33:55.120 --> 00:33:58.237
companies all making huge investments.

00:33:58.320 --> 00:34:02.717
Um, and the uh the the benchmark the the

00:34:02.800 --> 00:34:07.437
the model performance the evaluations
are relatively clustered and there's a

00:34:07.520 --> 00:34:11.437
lot of leaprogging going on. So,
you know, Grock releases a new model, it

00:34:11.520 --> 00:34:15.517
leaprogs CH GBT and but then Chad GBT
releases something new, they they leap

00:34:15.600 --> 00:34:18.237
frog. So, they're all like very
competitive and close to each other and

00:34:18.320 --> 00:34:20.877
I think that's uh that's a good thing.

00:34:20.960 --> 00:34:22.717
And it's the opposite of what was

00:34:22.800 --> 00:34:25.117
predicted, you know, through this like

00:34:25.200 --> 00:34:27.917
imminent AGI story where the the the

00:34:28.000 --> 00:34:30.317
sort of the the storytelling there was

00:34:30.400 --> 00:34:34.477
that one model would get a lead and then

00:34:34.560 --> 00:34:38.317
it would direct its own intelligence
to making itself better and then so

00:34:38.400 --> 00:34:40.877
therefore its lead would get bigger
and bigger and you kind of get this

00:34:40.960 --> 00:34:44.957
recursive self-improvement and pretty
soon you're off to the the singularity.

00:34:45.040 --> 00:34:48.637
And um and and we haven't really seen
that, you know, we haven't seen one

00:34:48.720 --> 00:34:53.837
model completely pull away in terms
of capabilities. Um and I think that's a a

00:34:53.920 --> 00:34:57.037
good thing. And so Eric to your point
about this narrative about the virtual

00:34:57.120 --> 00:34:59.917
AI researcher that that was one variant

00:35:00.000 --> 00:35:02.397
of this sort of um imminent AGI

00:35:02.480 --> 00:35:06.157
narrative is that the steps would be um

00:35:06.240 --> 00:35:11.357
you know models get smarter then models
create virtual AI researcher and then

00:35:11.440 --> 00:35:14.397
you get [snorts] a million virtual
AI researchers and then you know it's

00:35:14.480 --> 00:35:16.557
singularity and I think just the slight

00:35:16.640 --> 00:35:19.757
of hand in that is um what is a virtual

00:35:19.840 --> 00:35:21.997
AI researcher right it's like a very

00:35:22.080 --> 00:35:24.957
easy thing to say, but like what does

00:35:25.040 --> 00:35:30.077
that really mean? And you know,
top toy's point about um you know, AI is

00:35:30.160 --> 00:35:34.397
still middle to middle. It doesn't it's
not end to end. So if an AI researcher

00:35:34.480 --> 00:35:38.237
is endtoend, there's like things
that has to you things the person has to

00:35:38.320 --> 00:35:40.637
figure out. They've got to set their own
objective. They've got to be able to

00:35:40.720 --> 00:35:44.077
pivot in ways that AI can't. Um you

00:35:44.160 --> 00:35:47.837
know, like is it really is that really
feasible to create a virtual AI

00:35:47.920 --> 00:35:52.317
researcher? I think there's like parts
of the job that you know AI could get

00:35:52.400 --> 00:35:53.997
really good at or even better than

00:35:54.080 --> 00:35:57.117
humans, but probably that tool has to be

00:35:57.200 --> 00:36:00.717
used by a human AI researcher. So I

00:36:00.800 --> 00:36:03.917
guess the the the the argument I suspect

00:36:04.000 --> 00:36:07.357
could be um sort of teological in the

00:36:07.440 --> 00:36:10.077
sense that you might need AGI to create

00:36:10.160 --> 00:36:14.397
a virtual AI researcher as opposed
to the other way around. And if that's the

00:36:14.480 --> 00:36:18.397
case, you don't just, you know, you're
not going to get like singularity. So,

00:36:18.480 --> 00:36:22.877
I'm a little bit skeptical of that claim.
Um, you know, we'll see. Sam,

00:36:22.960 --> 00:36:27.517
would Sam say he could do it in 2028?
I mean, I guess we'll see. And

00:36:27.600 --> 00:36:30.957
>> I I think all those claims tend
to be like recruiting ideas as [laughter]

00:36:31.040 --> 00:36:32.877
opposed to actual predictions.

00:36:32.960 --> 00:36:36.317
>> He's he's not the first to to mention
that idea. Other other model companies

00:36:36.400 --> 00:36:40.717
have been promoting it, but um yeah,
Leopold mentioned that too. um you know,

00:36:40.800 --> 00:36:42.637
we'll we'll we'll see. But I suspect

00:36:42.720 --> 00:36:45.037
that that's what's wrong with that

00:36:45.120 --> 00:36:49.117
argument is that virtual AI researcher

00:36:49.200 --> 00:36:52.397
um requires AGI and so the idea that

00:36:52.480 --> 00:36:56.877
you're going to get AGI through
a virtual AI researcher is um is

00:36:56.960 --> 00:36:59.277
backwards, but we'll see,
you know, we'll see.

00:36:59.360 --> 00:37:01.357
>> David, you've also you and the
administration, I think, have also been

00:37:01.440 --> 00:37:04.477
very supportive of open source AI, which
I think also dovtales into this in terms

00:37:04.560 --> 00:37:06.397
of like the market being very competitive.

00:37:06.480 --> 00:37:09.197
>> Yes. Yes. Do you want to spend a moment
on what you guys have been able to do on

00:37:09.280 --> 00:37:11.277
that and how you think about it?

00:37:11.360 --> 00:37:15.277
>> Yeah, I mean so so just to the you open
source is very important because I just

00:37:15.360 --> 00:37:20.077
think it's synonymous with um you know
freedom I mean software freedom. You

00:37:20.160 --> 00:37:24.077
basically could run your own models
on your own hardware and retain control

00:37:24.160 --> 00:37:28.077
over your own information.
And by the way, this is what enterprises

00:37:28.160 --> 00:37:30.237
typically do all the time is, you know,

00:37:30.320 --> 00:37:35.677
um about half the global data center
market is, you know, is onrem, meaning

00:37:35.760 --> 00:37:38.477
enterprises and governments create their
own data centers. They don't go to the

00:37:38.560 --> 00:37:41.997
big clouds. And by the way, I've got
nothing against the hyperscalers, but

00:37:42.080 --> 00:37:45.437
just, you know, people like to run their

00:37:45.520 --> 00:37:50.077
own um you know, own data centers
and you know, maintain control over their

00:37:50.160 --> 00:37:53.757
own data and that kind of thing. And I
think that will be true for consumers to

00:37:53.840 --> 00:37:57.677
some degree as well. Um so I do think
it's an important area that we should

00:37:57.760 --> 00:37:59.517
you know want to encourage and promote.

00:37:59.600 --> 00:38:02.157
The irony right now in the market is

00:38:02.240 --> 00:38:06.637
that um is that uh the best open source

00:38:06.720 --> 00:38:12.237
models are Chinese. Uh and it's it's
sort of a quirk, right? It's it's the

00:38:12.320 --> 00:38:15.277
opposite of what you'd expect. You'd
expect like the American system would

00:38:15.360 --> 00:38:19.677
promote open and somehow the Chinese
system would promote closed. That has

00:38:19.760 --> 00:38:22.077
kind of um you know ended up being a

00:38:22.160 --> 00:38:23.917
little backwards. Um, I think there's

00:38:24.000 --> 00:38:26.877
like good reasons for it. Uh, it could

00:38:26.960 --> 00:38:31.917
just be it could just be kind of a
historical accident, the fact that the

00:38:32.000 --> 00:38:35.117
Deep Seek founder was like very
committed to open source and kind of

00:38:35.200 --> 00:38:38.957
just kind of that like got things
started that way or it could be part of

00:38:39.040 --> 00:38:42.477
a deliberate strategy. Uh, if you're
China and you're trying to catch up,

00:38:42.560 --> 00:38:45.517
open source is a really good way to do
that because you get all the non-aligned

00:38:45.600 --> 00:38:49.517
developers to want to help your project
which they can't do if you know with a

00:38:49.600 --> 00:38:51.197
closed project. So, it's a great

00:38:51.280 --> 00:38:53.677
strategy for catching up. And then also

00:38:53.760 --> 00:38:56.557
if you think that your business model

00:38:56.640 --> 00:38:58.877
you know as a company or as a country is

00:38:58.960 --> 00:39:00.797
let's say scale manufacturing of

00:39:00.880 --> 00:39:04.237
hardware then you would want the the

00:39:04.320 --> 00:39:07.997
software part to be free or cheap
because it's your compliment right so

00:39:08.080 --> 00:39:12.317
you try to commoditize your compliment
and I don't know whether it's by

00:39:12.400 --> 00:39:15.837
accident or part of design that that
seems to be what the Chinese strategy

00:39:15.920 --> 00:39:17.917
has been I think that the the right

00:39:18.000 --> 00:39:23.277
answer for the US in this is to you know
tocourage urge our own open source. I

00:39:23.360 --> 00:39:27.597
mean, we I think it'd be a great thing
if we saw more open- source initiatives

00:39:27.680 --> 00:39:29.037
get get going. I guess there's one

00:39:29.120 --> 00:39:31.917
promising one called um Reflection,

00:39:32.000 --> 00:39:36.317
which um was founded by former um you

00:39:36.400 --> 00:39:41.277
know, engineers from uh from Google
DeepMind. Uh so I hope we see more open

00:39:41.360 --> 00:39:44.957
source innovation in in the west.
But um but look, I think it's it's very

00:39:45.040 --> 00:39:49.037
important. is critical and like I said
I in my view it's synonymous with with

00:39:49.120 --> 00:39:52.557
freedom and it's definitely not
something we want to suppress. Now just

00:39:52.640 --> 00:39:57.117
back to the the the closed ecosystem
for a second. It's true we have five major

00:39:57.200 --> 00:40:01.357
competitors there and they're all
spending a lot of money. I do worry a

00:40:01.440 --> 00:40:05.357
little bit that at some point some point
in time that the model consolid not the

00:40:05.440 --> 00:40:10.157
model the um the market consolidates and
we end up with you know like a monopoly

00:40:10.240 --> 00:40:13.757
or duopoly or something like that as
we've seen in other technology markets.

00:40:13.840 --> 00:40:16.557
We saw this with search and you know and

00:40:16.640 --> 00:40:21.517
so on down the line. And I just think
that it would be good if this market

00:40:21.600 --> 00:40:23.357
stayed more competitive than just one or

00:40:23.440 --> 00:40:28.157
two winners. Um and um I I don't I don't

00:40:28.240 --> 00:40:31.197
really know what to do about that. I'm
just making that observation. And I I do

00:40:31.280 --> 00:40:33.277
think that having open source as an

00:40:33.360 --> 00:40:36.237
option always then ensures that even if

00:40:36.320 --> 00:40:41.517
the market does consolidate that you
do have an alternative and it's an

00:40:41.600 --> 00:40:42.877
alternative that's more fully within

00:40:42.960 --> 00:40:45.197
your control as opposed to a large

00:40:45.280 --> 00:40:49.037
corporation or um you know or or the

00:40:49.120 --> 00:40:54.397
deep state you know working with that
corporation as we saw in the Twitter

00:40:54.480 --> 00:40:58.637
files that you know the deep state
was working with all these um you know

00:40:58.720 --> 00:41:03.837
social media companies um you know
in in implementing much more widespread

00:41:03.920 --> 00:41:07.917
censorship than I think we
any of us thought possible. So

00:41:08.000 --> 00:41:10.877
uh we've seen evidence in the past
and again in the social networking space

00:41:10.960 --> 00:41:13.277
about um about how the government could

00:41:13.360 --> 00:41:16.157
get involved in nefarious ways and it

00:41:16.240 --> 00:41:18.637
would be good to have alternatives so

00:41:18.720 --> 00:41:22.477
that so you know to to prevent that or

00:41:22.560 --> 00:41:26.477
to to make it less likely that
that scenario comes about with AI.

00:41:26.560 --> 00:41:29.757
>> Yeah. Well, as you know, we we
and others uh um are very aggressively

00:41:29.840 --> 00:41:33.517
investing um in new new model companies
of many kinds, including new foundation

00:41:33.600 --> 00:41:36.557
model companies, and then also,
you know, as you're probably there are a

00:41:36.640 --> 00:41:39.677
whole bunch of new open source efforts
um you know, that are not yet public

00:41:39.760 --> 00:41:42.717
that, you know, hopefully will bear
fruit over the next couple years. So, I

00:41:42.800 --> 00:41:46.557
think that at least in the in the medium
term, I think we're looking at an an

00:41:46.640 --> 00:41:49.117
explosion of model development
as opposed to consolidation and then, you

00:41:49.200 --> 00:41:50.717
know, we'll we'll see
what happens from there.

00:41:50.800 --> 00:41:53.917
>> Yeah, that's really good to hear. I
mean I think you know if we assess kind of

00:41:54.000 --> 00:41:57.917
the the state of the AI race um visv China

00:41:58.000 --> 00:42:00.077
>> uh this is the only
area where we appear

00:42:00.160 --> 00:42:04.717
to be behind is in this area of open
source models um I I think you know if

00:42:04.800 --> 00:42:07.757
you don't care whether it's open
or closed I think we have the lead

00:42:07.840 --> 00:42:12.157
>> uh I think our top models uh model
companies are ahead of the top Chinese

00:42:12.240 --> 00:42:16.237
companies although they're quite good
but uh but just this narrow area of open

00:42:16.320 --> 00:42:19.517
source seems to be where they have an
advantage so it's great to hear that you

00:42:19.600 --> 00:42:24.637
guys are seeing >> you know a lot
more um efforts um coming to market.

00:42:24.720 --> 00:42:25.997
>> Yeah. Yeah, there's more coming.

00:42:26.080 --> 00:42:28.397
>> Yeah. Good. >> Yeah.
Yeah. Definitely more coming.

00:42:28.480 --> 00:42:32.797
>> The um Peter Teal quipped, you know,
many years ago that he thought, you

00:42:32.880 --> 00:42:36.957
know, crypto would be libertarian
or decentralizing and that uh AI would be

00:42:37.040 --> 00:42:39.917
communist or or centralizing.
And I think one thing we've perhaps we've

00:42:40.000 --> 00:42:43.277
learned that uh technology isn't
deterministic and that the there are set

00:42:43.360 --> 00:42:47.037
of choices that determine whether these
technologies are decentralizing or or

00:42:47.120 --> 00:42:51.117
centralizing. And um maybe we could
segue use that as a segue to go deeper

00:42:51.200 --> 00:42:54.957
into the the state of the race with China.
Uh maybe David, you could lay out

00:42:55.040 --> 00:42:58.637
the sort of the what's most important
to to get right. You've already indicated,

00:42:58.720 --> 00:43:02.637
you know, open source is one example.
Um you know, you you alluded earlier to

00:43:02.720 --> 00:43:06.797
sort of our strategy as it relates to
chips. Um you know, some people say that

00:43:06.880 --> 00:43:09.757
yes, it's it's a good idea to do what
we're doing because it'll you know,

00:43:09.840 --> 00:43:12.317
limit domestic semiconductor production.

00:43:12.400 --> 00:43:15.357
Other people say, "Oh, well, you know,
some of these companies say chips are

00:43:15.440 --> 00:43:18.877
their biggest, you know, limiting
factors and so are we enabling them in

00:43:18.960 --> 00:43:22.397
some way?" May why don't you talk about
the sort of state of play and then our

00:43:22.480 --> 00:43:23.437
strategy?

00:43:23.520 --> 00:43:26.077
>> Yeah. So, you know, when we talk about

00:43:26.160 --> 00:43:30.637
winning the AI race, um, sometimes
we say we're in a race against China,

00:43:30.720 --> 00:43:33.117
sometimes we just leave it a little bit
more vague because I I don't think we

00:43:33.200 --> 00:43:35.917
should become overly obsessed with our

00:43:36.000 --> 00:43:40.237
uh competitors or adversaries. I think
whether we win or not will mostly have

00:43:40.320 --> 00:43:41.757
to do with the decisions we make about

00:43:41.840 --> 00:43:44.477
our own technology ecosystem, not about,

00:43:44.560 --> 00:43:47.677
you know, what we do v visav them. And

00:43:47.760 --> 00:43:50.877
so the president in in his July 23rd

00:43:50.960 --> 00:43:52.877
speech on AI policy, I think mentioned a

00:43:52.960 --> 00:43:55.677
few of the key pillars of of, you know,

00:43:55.760 --> 00:43:59.997
of of how we win this this AI race.
Um, and by the way, I'm not saying it ever

00:44:00.080 --> 00:44:01.917
ends. This it might be an infinite game,

00:44:02.000 --> 00:44:04.077
but um but we want to be in the lead at

00:44:04.160 --> 00:44:07.357
least. And um and I I I I do think that

00:44:07.440 --> 00:44:11.677
um there could be a period of time where
like you know take the internet where I

00:44:11.760 --> 00:44:15.517
mean the internet's still going on. It's
happened but we understand that kind of

00:44:15.600 --> 00:44:19.437
who the winners are is kind of baked now.
Um so there could be a period of

00:44:19.520 --> 00:44:22.797
time in which you know it's kind of baked
who the the winners in AI are. But

00:44:22.880 --> 00:44:27.357
um in any event um you know in terms
of how we win this race um you know I

00:44:27.440 --> 00:44:28.477
mentioned a few of the key pillars.

00:44:28.560 --> 00:44:31.917
Number one is innovation. You know it's
very important to support the private

00:44:32.000 --> 00:44:34.717
sector because they're the ones who
do the innovation. We're not going to

00:44:34.800 --> 00:44:38.877
regulate our way to beating our our
adversary. We just have to out innovate

00:44:38.960 --> 00:44:41.677
them. Um I mentioned I I think right now

00:44:41.760 --> 00:44:45.277
the biggest obstacle is the the the um

00:44:45.360 --> 00:44:47.757
frenzy of overregulation happening at

00:44:47.840 --> 00:44:52.797
the states. I desperately think we need
um a federal a single federal standard.

00:44:52.880 --> 00:44:56.237
Uh a patchwork of 50 different
regulatory regimes can be incredibly

00:44:56.320 --> 00:45:00.237
burdensome to comply with. I think even
the people who support a lot of this

00:45:00.320 --> 00:45:03.837
regulation are now acknowledging that
we're going to need a federal standard.

00:45:03.920 --> 00:45:08.237
Uh the problem is that when they talk
about it, what they really want is to

00:45:08.320 --> 00:45:11.437
federalize the most ownorous
version of all the state laws

00:45:11.520 --> 00:45:15.037
>> and that can't be allowed either.
So, you know, there's going to be a battle

00:45:15.120 --> 00:45:17.917
to come. I think as the states um become

00:45:18.000 --> 00:45:22.797
more and more unwieldy, you know, as it
becomes more of a trap for startups that

00:45:22.880 --> 00:45:26.077
they now have to report into 50
different states at 50 different times

00:45:26.160 --> 00:45:29.117
to 50 different agencies about 50
different things, people are going to

00:45:29.200 --> 00:45:32.397
realize this is crazy and they're going
to try to federalize it. And then the

00:45:32.480 --> 00:45:35.837
question, I think, is whether we get
preeemption heavy or preeemption light.

00:45:35.920 --> 00:45:40.237
Um you know, do we do we get a I think
everyone's gonna ultimately be in favor

00:45:40.320 --> 00:45:44.237
of a of a single federal standard.
Um because I think one of America's

00:45:44.320 --> 00:45:48.557
greatest advantages is that we have
a large national market right not 50

00:45:48.640 --> 00:45:52.477
separate state markets like kind
of you know Europe before the EU wasn't

00:45:52.560 --> 00:45:55.597
competitive at all on the internet
because it's 30 different regulatory

00:45:55.680 --> 00:45:59.197
regimes and so you know if you're
a European startup and even if you won

00:45:59.280 --> 00:46:03.677
your country it didn't get you very far
because you still had to like you know

00:46:03.760 --> 00:46:06.717
figure out how to compete in 30 other
countries before you could even win

00:46:06.800 --> 00:46:10.157
Europe and then meanwhile your American
competitors won the entire American

00:46:10.240 --> 00:46:14.237
market and ready to scale scale up
globally. So the fact that we have a

00:46:14.320 --> 00:46:17.677
single national market is just
fundamental to our competitiveness and

00:46:17.760 --> 00:46:19.517
it's why you know winners in America

00:46:19.600 --> 00:46:25.037
then go on to kind of win the whole world.
So we have to preserve that and I

00:46:25.120 --> 00:46:27.677
think we will eventually get some
some federal preeemption. I think the

00:46:27.760 --> 00:46:29.597
question will just again be whether we

00:46:29.680 --> 00:46:32.797
preempt heavy or preempt light. Um

00:46:32.880 --> 00:46:36.797
second big area is infrastructure you
know and energy you know we want to help

00:46:36.880 --> 00:46:42.237
this this um amazing infrastructure boom
that's happening and the biggest I think

00:46:42.320 --> 00:46:46.237
limiting factor there is just going
to be around energy uh I think President

00:46:46.320 --> 00:46:49.197
Trump's been incredibly far-sighted
in this I mean he was talking about drill

00:46:49.280 --> 00:46:53.277
baby drill many years ago um he
understood that energy is the basis for

00:46:53.360 --> 00:46:57.357
everything it's definitely the basis
for this AI boom and we want to basically

00:46:57.440 --> 00:46:59.837
get all of these unnecessary regulations

00:46:59.920 --> 00:47:01.837
the permitting restrictions, a lot of

00:47:01.920 --> 00:47:05.997
the nimism out of the way so that um AI

00:47:06.080 --> 00:47:09.517
companies can build data centers and get
power for them. And we can talk about

00:47:09.600 --> 00:47:10.797
that more if you want, but I think that

00:47:10.880 --> 00:47:15.037
that's a second really huge um uh part

00:47:15.120 --> 00:47:18.477
of the of what it's going to take to win
the AI race. And then the third area is

00:47:18.560 --> 00:47:21.037
is around exports. And maybe this has

00:47:21.120 --> 00:47:24.317
been the most controversial one. Um and

00:47:24.400 --> 00:47:28.077
it really speaks to the cultural
divide between Silicon Valley and and

00:47:28.160 --> 00:47:31.597
Washington. So I think
all of us in Silicon Valley

00:47:31.680 --> 00:47:35.517
understand that the way that you win
a technology race is by building the

00:47:35.600 --> 00:47:40.077
biggest ecosystem, right? You get
the most developers building on your your

00:47:40.160 --> 00:47:43.837
platform. You get the most apps in your
app store. Everyone just uses you. I

00:47:43.920 --> 00:47:48.077
mean, you know, those are the companies
that typically win are the ones that get

00:47:48.160 --> 00:47:52.077
all the users, all the developers, and so
on. And so we in Silicon Valley have

00:47:52.160 --> 00:47:55.517
a partnership mentality. You know,
we want to just publish the APIs and get

00:47:55.600 --> 00:47:59.037
everyone using them. Uh Washington has
a different mentality, right? It's much

00:47:59.120 --> 00:48:03.357
more of a command and control. We want
you to get approved. Um, you know, we

00:48:03.440 --> 00:48:04.797
kind of want to hoard this technology.

00:48:04.880 --> 00:48:07.757
Only America should have it. Um, and and

00:48:07.840 --> 00:48:12.077
this this was really fundamental,
I think, to the Biden diffusion rule where

00:48:12.160 --> 00:48:15.677
the the point of that rule is to stop
diffusion, right? Diffusion is a is a is

00:48:15.760 --> 00:48:18.397
a bad word. >> Um,
but in Silicon Valley, we understand

00:48:18.480 --> 00:48:22.797
that diffusion is how you win. [snorts]
>> Um, and now I mean, I don't think we

00:48:22.880 --> 00:48:25.757
ever called it diffusion before. That
was a new word for me. We just called it

00:48:25.840 --> 00:48:28.557
usage. >> Yeah.
Uh but we understand that like

00:48:28.640 --> 00:48:29.997
getting the most users is how you win.

00:48:30.080 --> 00:48:32.637
Um so there's like a fundamental culture

00:48:32.720 --> 00:48:35.837
clash going on right now. And um you

00:48:35.920 --> 00:48:40.397
know the way I kind of parse it
is that what we decide to sell to China is

00:48:40.480 --> 00:48:43.837
always going to be comp uh complicated
because you know they're our competitor

00:48:43.920 --> 00:48:48.717
and our adversary and there's the whole
potential dual use and so the the the

00:48:48.800 --> 00:48:52.797
question of what you sell to China is is
nuanced. Um but what we sell to the rest

00:48:52.880 --> 00:48:55.917
of the world that should be an easy
question which is we should want to do

00:48:56.000 --> 00:48:59.117
business with the rest of the world.
We should want to have the largest

00:48:59.200 --> 00:49:04.157
ecosystem possible. Uh and every country
we exclude from our technology alliance

00:49:04.240 --> 00:49:06.637
we're basically driving into the arms
of China and it makes their ecosystem

00:49:06.720 --> 00:49:09.197
bigger. And what we saw under the the

00:49:09.280 --> 00:49:12.557
the the Biden years is that they were

00:49:12.640 --> 00:49:15.517
constantly pushing other countries uh

00:49:15.600 --> 00:49:17.677
into the arms of China. Starting with

00:49:17.760 --> 00:49:23.277
the Gulf States in um October of 2023,
basically the the Gulf States, you I'm

00:49:23.360 --> 00:49:26.477
talking about countries like Saudi
Arabia, UAE, long-standing US allies,

00:49:26.560 --> 00:49:30.797
they weren't allowed to buy chips
from the US. In other words, they weren't

00:49:30.880 --> 00:49:36.157
allowed to set up data centers
and participate in in AI. And um you know

00:49:36.240 --> 00:49:40.237
here we are telling all these countries
that you know AI is fundamental to the

00:49:40.320 --> 00:49:43.757
future. It's going to be the basis
of the economy and yet we're excluding you

00:49:43.840 --> 00:49:47.917
from participating in the American tech
stack. Well you know it's obvious what

00:49:48.000 --> 00:49:51.597
they're going to do. You know the only
play we're giving them is to go to China

00:49:51.680 --> 00:49:55.357
and so you know all of these rules
basically just create pent-up demand for

00:49:55.440 --> 00:49:58.557
for um for Chinese chips and models and

00:49:58.640 --> 00:50:01.197
it creates a Huawei belt and road. And

00:50:01.280 --> 00:50:03.837
we are hearing that um that Huawei is

00:50:03.920 --> 00:50:08.077
starting to uh proliferate or diffuse um

00:50:08.160 --> 00:50:12.397
in the Middle East and in Southeast Asia.
And I just think it's a really

00:50:12.480 --> 00:50:14.957
counterproductive strategy.
We're completely shooting ourselves in the

00:50:15.040 --> 00:50:18.877
foot. And like the the greatest irony is

00:50:18.960 --> 00:50:22.237
that the people who've been pushing this
strategy of driving all these countries

00:50:22.320 --> 00:50:24.557
into China's arms have called themselves

00:50:24.640 --> 00:50:29.437
China hawks. You know, as if what
they're doing is uh is hurting China.

00:50:29.520 --> 00:50:32.957
No, it's like it's it's helping China.
I mean, it's basically just handing them

00:50:33.040 --> 00:50:35.997
markets. And our products are better. Uh

00:50:36.080 --> 00:50:40.397
but if you don't give these countries
a choice to buy the American tech stack,

00:50:40.480 --> 00:50:42.477
obviously they're going to go with the

00:50:42.560 --> 00:50:45.037
Chinese tech stack. And um you know,

00:50:45.120 --> 00:50:49.117
China China's out there promoting um you

00:50:49.200 --> 00:50:53.917
know, uh Deepseek models and Huawei
chips and they're not like ringing their

00:50:54.000 --> 00:50:55.757
hands about

00:50:55.840 --> 00:50:58.877
you know whether um you know exporting

00:50:58.960 --> 00:51:02.957
chips for a data center in UAE is going
to like create the Terminator and you

00:51:03.040 --> 00:51:06.957
know all these like ridiculous
narratives that we've invented to you

00:51:07.040 --> 00:51:12.237
know reasons we've invented not to sell
American technology to our friends. So,

00:51:12.320 --> 00:51:15.757
um, you know, that that has ended up
being, I think, surprisingly maybe the

00:51:15.840 --> 00:51:20.797
most controversial part of what we've
advocated for. Um, but, uh, but there

00:51:20.880 --> 00:51:23.757
you have it. So, in any event, I'll
stop there. Those are kind of some of the

00:51:23.840 --> 00:51:26.797
major pillars of what
we've been advocating.

00:51:26.880 --> 00:51:28.077
>> Should we should
we go deeper on sort of

00:51:28.160 --> 00:51:31.277
the infrastructure energy point in terms
of what it's really going to take to to

00:51:31.360 --> 00:51:34.877
to get enough capacity or what's what's
most important in that second bullet you

00:51:34.960 --> 00:51:38.557
were talking about? Yeah. I mean, well,
so I mean, there there are definitely

00:51:38.640 --> 00:51:42.157
people who are much more knowledgeable
about energy than I am and are experts

00:51:42.240 --> 00:51:46.797
in the space, but here's what I've been
able to kind of divine is um so first of

00:51:46.880 --> 00:51:51.037
all, the administration, President Trump
has signed multiple executive orders to

00:51:51.120 --> 00:51:52.797
uh to allow for nuclear to make

00:51:52.880 --> 00:51:54.877
permitting easier. We've even freed up

00:51:54.960 --> 00:51:58.637
federal land uh for for data centers to

00:51:58.720 --> 00:52:02.157
hopefully trying to help get around some
of these state and local restrictions.

00:52:02.240 --> 00:52:05.197
And obviously the president has made it

00:52:05.280 --> 00:52:08.637
a lot easier to um to stand up new um uh

00:52:08.720 --> 00:52:11.277
energy projects uh power generation all

00:52:11.360 --> 00:52:13.837
that kind of stuff. Um I still think

00:52:13.920 --> 00:52:16.877
though that we have um a growing nimi

00:52:16.960 --> 00:52:21.677
problem at the state and local level
uh in in the US that that is becoming a

00:52:21.760 --> 00:52:26.797
little bit worrisome.
uh and um and uh and if if we don't

00:52:26.880 --> 00:52:30.877
figure out a way to to address it, then
it could really slow down uh the build

00:52:30.960 --> 00:52:33.517
out of this infrastructure. Um in terms

00:52:33.600 --> 00:52:38.397
of of power, so my understanding is that
nuclear is going to take 5 or 10 years.

00:52:38.480 --> 00:52:41.197
It's just it's just not something that
we're going to be able to do in the next

00:52:41.280 --> 00:52:45.277
2 or 3 years. So in the short term,
it really means that like gas is the way

00:52:45.360 --> 00:52:50.317
that these data centers are going to get
um powered. And the the issue with gas

00:52:50.400 --> 00:52:54.637
is the shortage there is not I mean
America has plenty of natural gas and um

00:52:54.720 --> 00:52:59.357
there's uh it exists in plenty of enough
red states where you could just build

00:52:59.440 --> 00:53:03.357
out data centers like close to the
source which be smart. Uh the issue is

00:53:03.440 --> 00:53:06.957
there's like a shortage of these um gas
turbines. You know there's only like two

00:53:07.040 --> 00:53:09.677
or three companies that make these

00:53:09.760 --> 00:53:14.317
things and like there's like a backlog
of two or three years. So I think that's

00:53:14.400 --> 00:53:16.397
probably the the the immediate problem

00:53:16.480 --> 00:53:21.597
there that needs to get solved. Um uh
however I do think that in the next 2

00:53:21.680 --> 00:53:23.037
or 3 years we could get a lot more out

00:53:23.120 --> 00:53:25.917
of the grid. So, I've had um you know,

00:53:26.000 --> 00:53:29.437
energy executives tell me that uh that

00:53:29.520 --> 00:53:33.677
if we could just shed um 40 hours a year

00:53:33.760 --> 00:53:38.077
of peak load from the grid to like
backup generators, to diesel, things

00:53:38.160 --> 00:53:39.997
like that, you could free up an

00:53:40.080 --> 00:53:42.957
additional 80 gawatt of power, which is

00:53:43.040 --> 00:53:47.757
a lot because I guess
the way that it works is um

00:53:47.840 --> 00:53:49.837
is, you know, the the grid is only used

00:53:49.920 --> 00:53:54.877
about 50% uh 50% of the capacity is used
throughout the here uh because they have

00:53:54.960 --> 00:53:59.037
to build enough capacity for the the peak
the peak days like the hottest day

00:53:59.120 --> 00:54:00.317
in summer, the coldest day in winter.

00:54:00.400 --> 00:54:05.597
Those are your peak days. Uh and they
don't want to um commit to a bunch of

00:54:05.680 --> 00:54:08.637
the capacity being used and then you
know you find out that you have a really

00:54:08.720 --> 00:54:10.557
cold day in winter and people can't get

00:54:10.640 --> 00:54:15.917
enough heat for their their homes.
And so um so they can't like overcommit to

00:54:16.000 --> 00:54:19.677
you know to say contracts or data
centers, things like that. Um, but if

00:54:19.760 --> 00:54:22.557
you could again just like um if you

00:54:22.640 --> 00:54:27.437
could shed that like 40 hours
a year of peak load to backup

00:54:27.520 --> 00:54:31.437
uh then you would be able to free up 80
80 gigawatts which is a lot. Um and that

00:54:31.520 --> 00:54:35.117
would definitely get us through the next
you know 2 or 3 years until the gas

00:54:35.200 --> 00:54:38.317
turbine bottleneck's been alleviated.
Um and then eventually you get to to

00:54:38.400 --> 00:54:41.917
nuclear. Uh so that would be very good.

00:54:42.000 --> 00:54:45.277
I think um the the issue there
is just there's a whole bunch of insane

00:54:45.360 --> 00:54:47.597
regulations preventing

00:54:47.680 --> 00:54:49.677
uh you know load shedding. So like for

00:54:49.760 --> 00:54:53.277
example, you can't use diesel. Um and uh

00:54:53.360 --> 00:54:56.717
this you know uh Chris Wright is the
secretary of energy is very good on all

00:54:56.800 --> 00:55:00.077
this stuff and I think he's working
on unraveling all of this so we could

00:55:00.160 --> 00:55:03.117
actually uh actually do this.
>> It's funny David as you talk about this

00:55:03.200 --> 00:55:05.997
stuff it's I I can't help but it's
a little bit like it's a little bit like

00:55:06.080 --> 00:55:11.117
the principle is just do
the opposite of the EU. [laughter]

00:55:11.200 --> 00:55:14.877
Yeah. Like basically I think everything
we've talked about so far is basically

00:55:14.960 --> 00:55:18.077
the opposite of the European approach.

00:55:18.160 --> 00:55:21.757
>> Yeah. Well, I mean the Europeans I mean
they have a really different mindset for

00:55:21.840 --> 00:55:26.157
all this stuff. when when they
talk about AI leadership, um

00:55:26.240 --> 00:55:31.357
>> what they mean is that they're taking
the lead in defining the regulations and

00:55:31.440 --> 00:55:34.317
they're all, you know, it's like that's
what they're proud of is that like they

00:55:34.400 --> 00:55:37.597
think that's what their comparative
advantage is is that, you know, they get

00:55:37.680 --> 00:55:40.557
together in Brussels and figure
out what all the rules should be

00:55:40.640 --> 00:55:42.477
>> and that's what they call leadership.

00:55:42.560 --> 00:55:46.237
Um, >> the the EU the EU
just announced a uh I

00:55:46.320 --> 00:55:48.797
shouldn't be on them too much, but they
just announced a big new growth fund, a

00:55:48.880 --> 00:55:53.197
big new public private sector uh tech
growth fund to grow uh EU companies to

00:55:53.280 --> 00:55:56.317
scale. And I I just I would literally I
was just like, well, it's it's actually

00:55:56.400 --> 00:55:58.477
quite it's almost like a game show
or something. They do everything they can

00:55:58.560 --> 00:56:01.517
to strangle them
in their crib [clears throat]

00:56:01.600 --> 00:56:04.957
and then if they if they make it if they
make it through like a [laughter] decade

00:56:05.040 --> 00:56:08.077
of abuse of small companies, then
they're going to give the money to grow.

00:56:08.160 --> 00:56:12.717
Um, >> well, yeah. Well, it's what, you
know, Ronald Reagan had a line about this,

00:56:12.800 --> 00:56:16.557
which is if it moves, tax it. If it
keeps moving, regulate it. If it stops

00:56:16.640 --> 00:56:18.477
moving, subsidize it. >> Yeah.

00:56:18.560 --> 00:56:22.077
>> Uh, the Europeans are definitely
at the subsidized stage. [laughter]

00:56:22.160 --> 00:56:25.517
>> Yeah. And I Yeah. I shouldn't be on
them too much, but I just like I've always

00:56:25.600 --> 00:56:29.197
been proud to be an American, but
particularly now u because like we just

00:56:29.280 --> 00:56:32.317
the fact that we've we've we've been
we we are we it really feels like we're

00:56:32.400 --> 00:56:34.797
reentering on core American values
in a lot of the things that we're talking

00:56:34.880 --> 00:56:36.317
about, which is just really great.

00:56:36.400 --> 00:56:39.437
>> Yeah. I mean again
it's you know our our

00:56:39.520 --> 00:56:43.677
view is that the first of all we have
to win the I race. We want America to lead

00:56:43.760 --> 00:56:47.437
in this critical area. It's like
fundamental for our economy and our

00:56:47.520 --> 00:56:49.757
national security. How do you do that?

00:56:49.840 --> 00:56:52.237
Well, our companies have to be
successful because they're the ones who

00:56:52.320 --> 00:56:55.517
do the innovation. Again, you're not
going to regulate your way to winning

00:56:55.600 --> 00:56:58.877
the AI race. I'm not saying we don't
need any regulations, but the point is

00:56:58.960 --> 00:57:01.757
just that's not how that's not what's
going to determine whether we're the

00:57:01.840 --> 00:57:06.477
winners or not. David, you recently
tweeted that climate dumerism perhaps is

00:57:06.560 --> 00:57:11.277
giving way to AI dumerism based on you
know Bill Bill Gates recent comments. Um

00:57:11.360 --> 00:57:14.317
what do you mean by this? Do do you mean
it's going to be a major fl you know of

00:57:14.400 --> 00:57:17.437
of of the you know uh US left or what do

00:57:17.520 --> 00:57:19.677
what do you mean by this comment? Well,

00:57:19.760 --> 00:57:22.317
I I think the left needs a central

00:57:22.400 --> 00:57:25.917
organizing catastrophe to justify their

00:57:26.000 --> 00:57:30.157
uh takeover of the economy and to to

00:57:30.240 --> 00:57:34.797
regulate everything and especially
to control the information space. Uh and I

00:57:34.880 --> 00:57:38.477
think that you're seeing that kind
of the allure of the whole climate change

00:57:38.560 --> 00:57:40.957
doomer narrative has kind of faded.

00:57:41.040 --> 00:57:43.437
Maybe it's the fact that they predicted
10 years ago that the whole world would

00:57:43.520 --> 00:57:46.237
be underwater in 10 years and that
hasn't happened. So it's like at a

00:57:46.320 --> 00:57:50.717
certain point you get discredited
by your own catastrophic predictions. I

00:57:50.800 --> 00:57:53.597
suspect that's where we'll be with AI
dumerism in a few years. But in the

00:57:53.680 --> 00:57:56.877
meantime it's a really good narrative
to kind of take the place of the climate

00:57:56.960 --> 00:58:01.357
dumerism. There's actually a lot
of similarities I would say. Um you know

00:58:01.440 --> 00:58:03.357
you've kind of got um there's a lot of

00:58:03.440 --> 00:58:07.197
kind of um pre-existing Hollywood um

00:58:07.280 --> 00:58:10.957
storytelling and pop culture that
supports this idea. You know you've got

00:58:11.040 --> 00:58:13.357
the Terminator movies and the Matrix and

00:58:13.440 --> 00:58:16.397
all this kind of stuff. Uh so people

00:58:16.480 --> 00:58:18.237
have been taught to be afraid of this.

00:58:18.320 --> 00:58:21.677
Um and then you know you you um there

00:58:21.760 --> 00:58:26.077
there's enough kind of pseudocience
behind it you know kind of like um you

00:58:26.160 --> 00:58:30.477
know with uh like you've got all these
contrived studies that like the one

00:58:30.560 --> 00:58:35.277
where they claimed that the AI
researcher got blackmailed by his own AI

00:58:35.360 --> 00:58:37.117
model or whatever. Look, it's very easy

00:58:37.200 --> 00:58:40.877
to steer the model towards um the the

00:58:40.960 --> 00:58:44.317
answer that you want and uh and a lot
of these studies have been very contrived,

00:58:44.400 --> 00:58:49.437
but there's this patina pseudocience to
it. It's certainly technical enough that

00:58:49.520 --> 00:58:53.197
the average person doesn't feel
comfortable saying that this doesn't

00:58:53.280 --> 00:58:56.717
make any sense. I mean, it's more like
you're not an expert. What do you know?

00:58:56.800 --> 00:59:01.197
Uh and even Republican politicians,
I think, um are kind of falling for this.

00:59:01.280 --> 00:59:05.597
So yeah, I mean it's a rarely desirable
nar and of course you know as AI touches

00:59:05.680 --> 00:59:09.037
more and more things, more and more
parts of the economy, every business is

00:59:09.120 --> 00:59:12.877
going to use it to some degree. If you
can regulate AI, then that kind of gives

00:59:12.960 --> 00:59:17.917
you a lot of control over lots of other
things. And like I mentioned, AI is kind

00:59:18.000 --> 00:59:20.077
of eating the internet.
It's like the main way that you're getting

00:59:20.160 --> 00:59:25.117
information. So again, if you can kind
of get your hooks into what the AI is

00:59:25.200 --> 00:59:30.077
showing people, now you can control what
they see and hear and think, uh, which

00:59:30.160 --> 00:59:32.877
dovetales with the whole with the left
censorship, you know, agenda, which

00:59:32.960 --> 00:59:37.677
they've never given up on. Uh, dovetales
with their agenda to brainwash kids, uh,

00:59:37.760 --> 00:59:41.597
which we, you know, which is kind of
the whole woke thing. So, I mean, this is

00:59:41.680 --> 00:59:45.197
this is going to be very desirable
for the left and and this is why I mean,

00:59:45.280 --> 00:59:46.637
look, they're they're already doing

00:59:46.720 --> 00:59:48.237
this. This is not like some prediction

00:59:48.320 --> 00:59:52.317
on my part. basically after um scam,

00:59:52.400 --> 00:59:56.397
bankr run fraud uh did what he did with
FTX and got sent to jail. He was like a

00:59:56.480 --> 01:00:01.517
big effective altruist and he had made
um pandemics like their big cause. They

01:00:01.600 --> 01:00:06.557
needed a new cause and they got behind
this idea of of X risk existential risk.

01:00:06.640 --> 01:00:10.877
The idea being if there's like a 1%
chance of um AI ending the world, then

01:00:10.960 --> 01:00:14.477
we should drop everything and just
focus on that because you do the expected

01:00:14.560 --> 01:00:17.597
value calculation and so if it ends
humanity, then that's the only thing you

01:00:17.680 --> 01:00:22.317
should focus on. even if it's, you know,
very small percentage chance. But they

01:00:22.400 --> 01:00:26.477
really like reorganized behind this with
all and, you know, they've got quite a

01:00:26.560 --> 01:00:28.637
few advocates. And actually, it's it's

01:00:28.720 --> 01:00:30.077
an amazing story about how much

01:00:30.160 --> 01:00:33.837
influence they were able to achieve um

01:00:33.920 --> 01:00:37.757
largely behind the scenes or in the
shadows during the Biden years. They

01:00:37.840 --> 01:00:41.917
basically convinced all of the major
Biden staffers of this um view of this

01:00:42.000 --> 01:00:45.677
like imminent super intelligence
is coming. We should be really afraid of

01:00:45.760 --> 01:00:49.357
it. we need to consolidate control
over it. There should only be, you know,

01:00:49.440 --> 01:00:52.877
ideally two or three companies that have
it. We don't want anyone in the rest of

01:00:52.960 --> 01:00:55.597
the world to get it. And then, you know,
what they said is, you know, once we

01:00:55.680 --> 01:00:59.437
make sure that there's only two or three
American companies, we'll u we'll solve

01:00:59.520 --> 01:01:02.397
the coordination problems. That's what
they consider to be the, you know, the

01:01:02.480 --> 01:01:05.837
free market, uh, we'll solve those
coordination problems for behind those

01:01:05.920 --> 01:01:08.237
um, companies and we'll be able to

01:01:08.320 --> 01:01:13.037
control this whole thing and prevent
the the genie from escaping the bottle. I

01:01:13.120 --> 01:01:17.037
think it was like this totally paranoid
version of what would happen and it's

01:01:17.120 --> 01:01:18.397
already being it's already in the

01:01:18.480 --> 01:01:22.317
process of being refuted. But this this

01:01:22.400 --> 01:01:26.957
vision is fundamentally what animated
the Biden executive order on AI. It's

01:01:27.040 --> 01:01:30.797
what animated the Biden diffusion rule
and Mark and you've talked about how you

01:01:30.880 --> 01:01:34.557
were in a meeting with Biden folks
and they were going to basically ban open

01:01:34.640 --> 01:01:36.637
source and >> they were
going to they're basically

01:01:36.720 --> 01:01:40.157
going to anoint two or three
winners and that was it. Um,

01:01:40.240 --> 01:01:43.437
>> yeah, they told us that. They told
us that explicitly. Um, and uh, yeah, and

01:01:43.520 --> 01:01:45.197
they told us exactly what you just said.

01:01:45.280 --> 01:01:47.677
They told us they're going to ban open
source. And when we challenged them on

01:01:47.760 --> 01:01:50.477
the ability to ban open source because
it's, you know, we're talking about, you

01:01:50.560 --> 01:01:54.237
know, math, you know, like mathematical
algorithms that are taught in textbooks

01:01:54.320 --> 01:01:57.837
and YouTube videos and universities.
Um, you know, they they they said, "Well,

01:01:57.920 --> 01:02:01.117
during the Cold War, we banned entire
areas of physics um, and put them off

01:02:01.200 --> 01:02:05.437
limits and we'll do the same thing
for math if we have to." Um, yeah. And

01:02:05.520 --> 01:02:09.277
that's the um yeah that's
the uh yeah that that was the

01:02:09.360 --> 01:02:12.717
>> and you'll be happy to know that
the guy who actually said that is now an

01:02:12.800 --> 01:02:16.077
anthropic employee it's not

01:02:16.160 --> 01:02:19.837
>> no that's exactly right all all those
and and I mean literally the minute the

01:02:19.920 --> 01:02:23.277
Biden administration was over all
the top Biden AI employees went to go work

01:02:23.360 --> 01:02:26.557
at anthropic which tells you
who they were working with during

01:02:26.640 --> 01:02:31.197
>> the Biden years. Um >> but no
but I mean this was this was very

01:02:31.280 --> 01:02:34.077
much the narrative you
sort of had this imminent

01:02:34.160 --> 01:02:35.757
>> uh super intelligence and then you know

01:02:35.840 --> 01:02:38.557
the one of the refrains you heard um was

01:02:38.640 --> 01:02:43.357
that uh AI is like nuclear weapons
and uh and GPUs are like uranium or

01:02:43.440 --> 01:02:48.077
plutonium or something >> and um
and so and and therefore we need

01:02:48.160 --> 01:02:51.437
like an you know the way the proper
way to to regulate this is with like an

01:02:51.520 --> 01:02:53.917
international atomic energy commission

01:02:54.000 --> 01:02:58.957
>> and so you know again everything would
be sort of centralized and um controlled

01:02:59.040 --> 01:03:02.957
and they would anoint two or three
winners and you know now this I think

01:03:03.040 --> 01:03:08.397
this narrative really started to fall
apart uh with the launch of deepseek which

01:03:08.480 --> 01:03:10.877
really happened in the first I
don't know couple weeks of the Trump

01:03:10.960 --> 01:03:13.037
administration because you know if you

01:03:13.120 --> 01:03:18.317
asked any of these people what they
thought of um of China during this time

01:03:18.400 --> 01:03:21.757
when they were pushing all these
regulations they basically you know and

01:03:21.840 --> 01:03:25.037
specifically well wait if if we shoot
ourselves in the foot by overregulating

01:03:25.120 --> 01:03:28.877
AI you know Won't China just win the AI
race? If you were to ask them that, what

01:03:28.960 --> 01:03:32.637
they what they would have said, they did
say is that China is so far behind us,

01:03:32.720 --> 01:03:36.237
it doesn't matter. And furthermore,
uh, and this was said completely without

01:03:36.320 --> 01:03:40.637
evidence that if we basically slow
down to impose, you know, all these

01:03:40.720 --> 01:03:43.917
supposedly healthy regulations, well,
China will just copy us and do the same

01:03:44.000 --> 01:03:48.717
thing. I think it was an absurdly naive
view. I think that if we shoot ourselves

01:03:48.800 --> 01:03:51.517
in the foot, China will just be like,
"Thank you very much. We'll just

01:03:51.600 --> 01:03:55.597
>> take leadership in this technology."
Uh, why wouldn't we? Um but this is what

01:03:55.680 --> 01:03:57.997
they said and um and you know when when

01:03:58.080 --> 01:04:00.797
when the Biden executive order on AI was

01:04:00.880 --> 01:04:03.917
um crafted there was no discussion

01:04:04.000 --> 01:04:08.397
whatsoever of the China compete.
You know it was just it was just again

01:04:08.480 --> 01:04:12.877
assumed that we were so far ahead that
um that we could basically do anything

01:04:12.960 --> 01:04:16.237
to our companies and it would just be
it wouldn't it wouldn't really affect our

01:04:16.320 --> 01:04:20.237
our um competitiveness.
And I think I think that narrative

01:04:20.320 --> 01:04:24.477
really started to fall apart with um
DeepSeek at the model level. Uh back in

01:04:24.560 --> 01:04:28.877
April, uh Huawei launched a technology
called Cloud Matrix in which they

01:04:28.960 --> 01:04:32.557
compensated for the fact that their
chips individually are not as good as

01:04:32.640 --> 01:04:35.837
Nvidia's chips by networking more of

01:04:35.920 --> 01:04:38.957
them together. So they took 384 of them.

01:04:39.040 --> 01:04:41.357
You use their prowess in networking to

01:04:41.440 --> 01:04:46.237
create you know this rack system cloud
matrix. And it was demonstrated to show

01:04:46.320 --> 01:04:49.277
that, you know, yes, Nvidia chips
are better. They're much more power

01:04:49.360 --> 01:04:52.477
efficient, but at the rack level, at the

01:04:52.560 --> 01:04:55.037
system level, you know, um, Huawei could

01:04:55.120 --> 01:04:59.517
get the job done with these, you know,
Ascend chips and cloud matrix. And so,

01:04:59.600 --> 01:05:02.317
again, I think that showed that, you know,
we're not the only game in town on

01:05:02.400 --> 01:05:05.997
chips, which means that if we don't sell
our chips to, you know, our our friends

01:05:06.080 --> 01:05:11.357
and allies in the Middle East and other
places, then Huawei certainly will. Uh

01:05:11.440 --> 01:05:14.317
so I think it's just been kind of one
revelation after another in which we've

01:05:14.400 --> 01:05:18.157
learned that um that a lot of their
preconceptions and belief were wrong.

01:05:18.240 --> 01:05:21.757
And we've talked about the fact that um
that the that the markets ended up being

01:05:21.840 --> 01:05:25.277
much more decentralized than they ever
could have predicted. And and I'd also

01:05:25.360 --> 01:05:28.237
say one other thing which is they they

01:05:28.320 --> 01:05:33.117
um they also believe that there'd be
you know um imminent catastrophes that

01:05:33.200 --> 01:05:35.677
haven't so this is kind of like
the equivalent to the global warming thing

01:05:35.760 --> 01:05:38.957
where we're all supposed to be
underwater by now. They they were saying

01:05:39.040 --> 01:05:43.677
that models trained on I think I don't
know like 10 to 25 flops or whatever

01:05:43.760 --> 01:05:45.837
were like way too risky. Well, every

01:05:45.920 --> 01:05:51.197
single model now at at the frontier is
trained on that level of compute. And so

01:05:51.280 --> 01:05:54.877
they would have banned us from even
being at the place we're at today if we

01:05:54.960 --> 01:05:59.757
had listened to these people back in 2023.
So just a couple years ago. So

01:05:59.840 --> 01:06:02.717
that's like really important to keep
in mind that their predictions of imminent

01:06:02.800 --> 01:06:04.637
catastrophe have already been refuted.

01:06:04.720 --> 01:06:09.117
And so things are moving in a direction
that um that I think are very different

01:06:09.200 --> 01:06:12.397
than you know what they thought in you
know let's call it the first year after

01:06:12.480 --> 01:06:16.317
the launch of Chachi BBT. >> Right.
So David just to uh come back

01:06:16.400 --> 01:06:20.557
real quick while we still have you on on
crypto. Um so the administration um and

01:06:20.640 --> 01:06:23.597
I think the country had a significant
victory uh earlier this year with the

01:06:23.680 --> 01:06:27.357
president signing the u
stable coin bill into law

01:06:27.440 --> 01:06:31.437
>> uh which was the the genius act. Um,
and I I think that I'll just tell you what

01:06:31.520 --> 01:06:35.117
we see is like the positive consequences
of that law have been even bigger than

01:06:35.200 --> 01:06:39.597
we thought. Um, and I would say that's
both for the stable coin industry and

01:06:39.680 --> 01:06:42.797
you now see actually a lot of a lot
of financial institutions of all kinds

01:06:42.880 --> 01:06:46.317
embracing stable coins um, in a way
that that they weren't before. Um, and you

01:06:46.400 --> 01:06:48.717
know, sort of the the phenomenon
spreading in America, you know, by the

01:06:48.800 --> 01:06:51.757
way, doing, you know, being being in the
lead and doing very well there. Um, but

01:06:51.840 --> 01:06:55.117
but but just also more broadly just as
a signal to the crypto industry that like

01:06:55.200 --> 01:06:58.397
this, you know, this really is a,
you know, this really is a new day. um and

01:06:58.480 --> 01:07:00.877
they're really there really are going
to be regulatory frameworks that that make

01:07:00.960 --> 01:07:03.677
these things possible and and you know
that that are responsible but also make

01:07:03.760 --> 01:07:07.597
this industry really possible to flourish
um and in the US um as you know

01:07:07.680 --> 01:07:11.117
there's a second piece of legislation
um you know being constructed right now

01:07:11.200 --> 01:07:14.797
which is the market structure bill
called the clarity act um which is sort

01:07:14.880 --> 01:07:18.317
of the phase two of the legislative
agenda um and I wondered maybe if you

01:07:18.400 --> 01:07:20.877
could just tell us a little bit about
your view of of the importance of that

01:07:20.960 --> 01:07:24.477
of that bill and and then you know kind
of how do you think that process is going

01:07:24.560 --> 01:07:29.197
>> I think it's extremely important um So,
as you mentioned, we we passed the the

01:07:29.280 --> 01:07:33.117
Genius Act few few months ago, but that
was just for stable coins. Stable coins

01:07:33.200 --> 01:07:35.437
are about 6% of the total market cap in

01:07:35.520 --> 01:07:38.397
terms of tokens. So, 94% are all the

01:07:38.480 --> 01:07:42.637
other types of tokens. And the Clarity
Act would apply to all of that and

01:07:42.720 --> 01:07:44.797
provide the regulatory framework for all

01:07:44.880 --> 01:07:46.557
those other crypto projects and

01:07:46.640 --> 01:07:50.557
companies. Um, you know, if we could be

01:07:50.640 --> 01:07:55.117
sure that, you know, currently we have
a great SEC chairman, Paul Atkins, and if

01:07:55.200 --> 01:07:58.637
we could be sure that Paul Atkins and
a person like Paul Atkins was always at

01:07:58.720 --> 01:08:02.157
the SEC forever, that we wouldn't
necessarily need legislation because

01:08:02.240 --> 01:08:05.117
they're already in the process
of implementing like much better rules and

01:08:05.200 --> 01:08:08.557
providing regulatory clarity. But the
truth is that we don't know for sure.

01:08:08.640 --> 01:08:12.717
And if you're a founder who's trying
to make a decision now about where you're

01:08:12.800 --> 01:08:15.757
going to build your company, you want
to have certainty for 10 years out, 20

01:08:15.840 --> 01:08:20.317
years out. uh you know we want
to encourage long-term projects and so

01:08:20.400 --> 01:08:23.837
again I think it's very
important to pro to canonize

01:08:23.920 --> 01:08:27.757
uh the the the rules that that's first
to provide the clarity and then to make

01:08:27.840 --> 01:08:32.397
sure there's enough stability around
them and sort of canonize those rules in

01:08:32.480 --> 01:08:35.757
legislation. That's the only way that you
provide that long-term stability. I

01:08:35.840 --> 01:08:38.797
think that we will get the clarity act
done. Like you mentioned it passed the

01:08:38.880 --> 01:08:43.197
house with about 300 votes of about
78 Democrats. So it was substantially

01:08:43.280 --> 01:08:47.037
bipartisan. I think it will ultimately
we're it's now going through the Senate.

01:08:47.120 --> 01:08:50.157
Um I think it will ultimately get done.

01:08:50.240 --> 01:08:53.357
Uh we're negotiating with a dozen or so

01:08:53.440 --> 01:08:55.197
Democrat. We have to get to 60 votes. So

01:08:55.280 --> 01:09:00.477
that's the the hard part is under
the filibuster. We got to get to 60. Uh so

01:09:00.560 --> 01:09:03.757
but we're negotiating with about a dozen
Democrats. And I I do think that we will

01:09:03.840 --> 01:09:06.317
ultimately get to to that number. We by

01:09:06.400 --> 01:09:09.277
the way we ended up having 68 uh votes

01:09:09.360 --> 01:09:14.157
in the Senate for genius uh including
18 Democrats. So, I do think that even if

01:09:14.240 --> 01:09:17.357
we just get, you know,
twothirds of the number of

01:09:17.440 --> 01:09:20.557
Democrats that we got for Genius, then,
you know, we'll we'll be we'll be fine

01:09:20.640 --> 01:09:25.357
on on clarity. But I, you know,
this will provide the the regulatory

01:09:25.440 --> 01:09:28.797
framework again for all the other tokens
besides stable coins. And um I think

01:09:28.880 --> 01:09:32.637
it's just a critical
piece of of legislation.

01:09:32.720 --> 01:09:36.957
And uh yeah, this this would ultimately
I think kind of complete the crypto

01:09:37.040 --> 01:09:41.277
agenda where we've kind of you know
moving from you know Biden's war on

01:09:41.360 --> 01:09:46.237
crypto to Trump's crypto capital the
planet. Um and then you know I think the

01:09:46.320 --> 01:09:50.397
industry will have the stability it
needs and can just focus on innovating and

01:09:50.480 --> 01:09:53.037
>> there'll be you know rule updates
and things like that but you know we'll

01:09:53.120 --> 01:09:56.477
fundamentally have the foundation
for the industry in place.

01:09:56.560 --> 01:10:01.677
>> On Genius Act um you know President
Trump really made that bill possible. I

01:10:01.760 --> 01:10:05.437
mean, first of all, it was his election
that completely shifted the conversation

01:10:05.520 --> 01:10:10.237
>> on crypto. We would still be, you know,
if a different result had been reached,

01:10:10.320 --> 01:10:14.237
we would have again like figure out the
SEC. The founders would still be getting

01:10:14.320 --> 01:10:16.957
prosecuted. We wouldn't know what
the rules are. Elizabeth Warren would be

01:10:17.040 --> 01:10:20.237
calling the shots. So, President Trump's
election made everything possible. And

01:10:20.320 --> 01:10:23.277
it's his commitment to the industry and

01:10:23.360 --> 01:10:27.837
he and his commitment to keeping his um
promises during the election that's made

01:10:27.920 --> 01:10:31.917
all of this possible. But also I mean he
got directly involved in making sure the

01:10:32.000 --> 01:10:35.117
Genius Act passed. It was the
legislation was declared dead many

01:10:35.200 --> 01:10:38.237
times. Uh I saw it with my own eyes that

01:10:38.320 --> 01:10:43.677
you know he was able to persuade um
Rickstrrent votes and uh twist arms

01:10:43.760 --> 01:10:45.197
cajul

01:10:45.280 --> 01:10:48.557
uh and um charm and um you know he

01:10:48.640 --> 01:10:53.037
ultimately got it done and um and I
think that clarity will be a similar

01:10:53.120 --> 01:10:58.157
result. people are always prematurely
declaring these things to be dead or

01:10:58.240 --> 01:11:01.517
whatever. Um there are a lot of twists
and turns in the legislative process.

01:11:01.600 --> 01:11:04.157
It's definitely true that you don't want
to see the sausage getting made, but um

01:11:04.240 --> 01:11:06.637
but anyway, I think we're
on a good track right now.

01:11:06.720 --> 01:11:10.957
>> Good. Fantastic. >> Great.
>> Pete Pete Buddhajes went on all in

01:11:11.040 --> 01:11:15.197
recently and you guys talked about the
the left's identity crisis and you he's

01:11:15.280 --> 01:11:19.357
hoping for more of a moderate, you know,
center center left um to to to emerge.

01:11:19.440 --> 01:11:22.877
At the same time, we see Mumani in New
York. I'm I'm curious what you you think

01:11:22.960 --> 01:11:26.077
of what are you seeing in terms of what
is the future in terms of for the for

01:11:26.160 --> 01:11:29.517
the Democratic party in terms of it
is there a more moderate presence or is it

01:11:29.600 --> 01:11:33.197
kind of this Mani style
you know woke populism?

01:11:33.280 --> 01:11:35.197
>> I mean it certainly seems to me that

01:11:35.280 --> 01:11:40.557
Mani and and um I don't know like the woke
socialism seems to be the future of

01:11:40.640 --> 01:11:43.997
the party. I mean that's where all the
energy is and their base. I mean I don't

01:11:44.080 --> 01:11:48.237
want that to be the case. I'd rather
have a rational Democrat party, but um

01:11:48.320 --> 01:11:50.317
but that seems to be where their base

01:11:50.400 --> 01:11:53.197
is, where the energy is. And um you

01:11:53.280 --> 01:11:56.077
don't really hear um Democrats um within

01:11:56.160 --> 01:12:00.237
the party trying to self police
and distance themselves from that. Uh you

01:12:00.320 --> 01:12:04.317
saw I mean all the major figures in the
Democrat party have endorsed Mammi. So

01:12:04.400 --> 01:12:05.517
yeah, I mean that's where that party

01:12:05.600 --> 01:12:10.397
seems to be headed. Um I I I think that

01:12:10.480 --> 01:12:13.277
um partly it's where their base is at. I

01:12:13.360 --> 01:12:16.717
think partly it it might be um a a

01:12:16.800 --> 01:12:20.237
misread of of uh it sort of it could be

01:12:20.320 --> 01:12:25.837
kind of like a partial reaction to to
Trump where they feel like um you know

01:12:25.920 --> 01:12:28.957
establishment politics has kind
of failed and so they need a populism of

01:12:29.040 --> 01:12:33.117
the left to compete with a populism
of the right and so I think that's maybe

01:12:33.200 --> 01:12:37.757
part of the calculation for why they're
going this direction but I don't you

01:12:37.840 --> 01:12:40.477
know fundamentally I don't think it works.
I don't think socialism works. I

01:12:40.560 --> 01:12:42.717
don't think the um you know, defund the

01:12:42.800 --> 01:12:44.397
police, empty all the jails policies

01:12:44.480 --> 01:12:47.837
work. Um so, you know, I think we're

01:12:47.920 --> 01:12:51.597
about to get another um you know, uh

01:12:51.680 --> 01:12:54.397
case uh a teaching moment in New York.

01:12:54.480 --> 01:12:55.677
Unfortunately, it's not going to be good

01:12:55.760 --> 01:12:58.957
for the city. Uh but, uh you know, we

01:12:59.040 --> 01:13:03.117
we've seen this movie before, but uh
but yeah, that's that's where I mean, it

01:13:03.200 --> 01:13:05.997
does appear that's where the Democrat
party is. Um I don't completely get it.

01:13:06.080 --> 01:13:07.677
I mean, other people have made this

01:13:07.760 --> 01:13:09.277
observation, but they do seem to be on

01:13:09.360 --> 01:13:14.357
the 20% side of every 8020 issue. Um,

01:13:14.440 --> 01:13:15.197
[snorts]

01:13:15.280 --> 01:13:19.357
uh, you know, opening the border, um,

01:13:19.440 --> 01:13:21.517
you know, on the, um, soft on crime

01:13:21.600 --> 01:13:23.677
stuff, you know, releasing all the the

01:13:23.760 --> 01:13:27.597
repeat offenders and, um,

01:13:27.680 --> 01:13:32.557
and just sort of this, um, you know,
anti- capitalist approach um, you know,

01:13:32.640 --> 01:13:35.917
which I think will be disastrous for the
economy. I mean, this but this is this

01:13:36.000 --> 01:13:39.437
is kind of where the party's at right now.
It is it's a little scary because

01:13:39.520 --> 01:13:43.837
it does mean that if we lose elections
in places where we do lose elections,

01:13:43.920 --> 01:13:47.757
it's like, you know, there you could end
up with something really horrible, not

01:13:47.840 --> 01:13:51.357
just like, you know, we're not just
playing in the 40 yard lines anymore in

01:13:51.440 --> 01:13:55.197
American politics.
Uh and that that is a little bit scary.

01:13:55.280 --> 01:13:58.237
>> Yeah. >> And I I do
think that, you know, if it

01:13:58.320 --> 01:14:01.437
weren't for Donald Trump, I think
in a way we we might already be there. Um,

01:14:01.520 --> 01:14:03.037
you know, I think, you know, but we have

01:14:03.120 --> 01:14:06.717
to make sure that this um

01:14:06.800 --> 01:14:12.397
this um the Trump revolution continues.

01:14:12.480 --> 01:14:17.197
La lastly, um we just talked about New
York. Um recently in an episode all in

01:14:17.280 --> 01:14:21.037
in San Francisco, you you you know
endorsed bringing the the National

01:14:21.120 --> 01:14:24.077
Guard. You know, Ben off had his comments.
He he sort of, you know, went

01:14:24.160 --> 01:14:25.917
back and forth forth in those comments.

01:14:26.000 --> 01:14:28.637
I'm curious if speaking of teaching
moments, I'm curious if you see San

01:14:28.720 --> 01:14:33.677
Francisco as savable in in some sense
and and what what needs to be true to to

01:14:33.760 --> 01:14:36.797
get there if so. >> Well,
Daniel Luri is the best mayor

01:14:36.880 --> 01:14:39.197
we've had in decades. So, I think he's

01:14:39.280 --> 01:14:44.317
doing a very good job um within the
constraints that San Francisco presents.

01:14:44.400 --> 01:14:48.317
Uh so, the the the mayor job,
unfortunately, we have a weak mayor in

01:14:48.400 --> 01:14:51.517
San Francisco. I I don't mean him.
I just mean like the way it's all set up.

01:14:51.600 --> 01:14:53.997
the board of supervisors has, you know,

01:14:54.080 --> 01:14:57.197
a ton of power and um over time they've

01:14:57.280 --> 01:15:02.157
been able to kind of transfer power from
the mayor to to themselves. Um and then

01:15:02.240 --> 01:15:05.597
of course you got all these leftwing
judges. I mean, it's just amazing to me

01:15:05.680 --> 01:15:10.317
that um there's a case right now,
this is a case that galvanized me several

01:15:10.400 --> 01:15:12.317
years ago, the case of Troy Mallister,

01:15:12.400 --> 01:15:15.997
who was a repeat offender who uh killed

01:15:16.080 --> 01:15:17.917
pe two people on New Year's Eve. I think

01:15:18.000 --> 01:15:21.197
it was like uh 2020.

01:15:21.280 --> 01:15:24.397
Uh and um he was arrested four times,

01:15:24.480 --> 01:15:27.677
you know, uh in the year before that. Uh

01:15:27.760 --> 01:15:31.597
he he he ended up killing these two
people and he had a very very long

01:15:31.680 --> 01:15:33.597
criminal history. He had committed armed

01:15:33.680 --> 01:15:37.037
robbery before, stolen many cars.

01:15:37.120 --> 01:15:39.757
Uh and he should have been in jail.
He should not have been released. But he

01:15:39.840 --> 01:15:43.517
was basically released thanks to the
zero bail policies of Chase Bodin, who

01:15:43.600 --> 01:15:47.277
was then the district attorney who we
got recalled. There was a huge outcry. I

01:15:47.360 --> 01:15:49.197
mean, even in San Francisco for there to

01:15:49.280 --> 01:15:51.677
be a recall of a polit I mean, you got

01:15:51.760 --> 01:15:54.557
to be like seriously leftwing to um

01:15:54.640 --> 01:15:56.237
>> to basically alienate San Francisco and

01:15:56.320 --> 01:15:59.357
Chase managed to be so far out there

01:15:59.440 --> 01:16:01.997
that he alienated even San Francisco.

01:16:02.080 --> 01:16:04.877
And yet, I don't know why Tory Mallister

01:16:04.960 --> 01:16:09.277
isn't sentenced already and in jail
for 20 years plus, but his case is still

01:16:09.360 --> 01:16:13.357
pending through the courts, never ending.
And there's a leftwing judge

01:16:13.440 --> 01:16:16.557
who's considering just giving him
diversion. basically means you just get

01:16:16.640 --> 01:16:21.677
released maybe with an ankle bracelet
or something. Um that's insane. So I mean

01:16:21.760 --> 01:16:24.317
that's what we're dealing with in San
Francisco. I mean like crazy leftwing

01:16:24.400 --> 01:16:25.357
judges who want to release all the

01:16:25.440 --> 01:16:29.757
criminals. Uh and um you know and so I

01:16:29.840 --> 01:16:33.757
just wonder like is Daniel up against
too many constraints and therefore I

01:16:33.840 --> 01:16:36.877
know he doesn't want the president
to send in the National Guard but maybe

01:16:36.960 --> 01:16:41.757
ultimately it would be helpful. Um but
in any event, I think the president has

01:16:41.840 --> 01:16:46.637
has agreed to kind of hold
off on that um out of you,

01:16:46.720 --> 01:16:49.597
you know, Daniel had a good conversation
with the president and asked him to hold

01:16:49.680 --> 01:16:52.237
back and um and you know, the president

01:16:52.320 --> 01:16:54.877
uh agreed and is giving him time to

01:16:54.960 --> 01:16:57.997
implement his solutions. And look, if if

01:16:58.080 --> 01:17:03.197
um if Daniel and his team can keep
making progress and fix the problems

01:17:03.280 --> 01:17:06.477
without the National Guard having
to come in, then so much the better. Um,

01:17:06.560 --> 01:17:09.517
we'll just see if and and I know he
wants to and like I said, he's the best

01:17:09.600 --> 01:17:13.277
mayor we've had in decades. It's just
a question of whether he'll be too

01:17:13.360 --> 01:17:17.117
constrained by the other
powers that be in the city.

01:17:17.200 --> 01:17:18.797
>> David, thank you so much
for coming on the podcast.

01:17:18.880 --> 01:17:21.917
>> Yeah. >> Fantastic. Thank you,

01:17:22.000 --> 01:17:25.357
>> and thank you for the work. It's we we

01:17:25.440 --> 01:17:29.437
as much as anybody appreciate the work
that you've done to uh fix the things in

01:17:29.520 --> 01:17:32.877
the past and and put us on a
great road to the future. Yep.

01:17:32.960 --> 01:17:36.477
>> Well, thanks. And I appreciate what you
guys have done as well. So, thank you for

01:17:36.560 --> 01:17:39.517
for your support, everything you're doing.
So, >> yeah, >> I appreciate it.

01:17:39.600 --> 01:17:43.710
>> Definitely. [music]

01:17:57.410 --> 01:17:59.430
>> [music]
