TRANSCRIPT 🔗
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Dave Karpf: For thirty years,
the big tech figures have been
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promising that their
technologies are going to
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disrupt lawyers, doctors, and
higher education. Not because
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those three areas are so
disruptable, but because that's
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where all the money is.
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Mike Rugnetta: Friends, hello,
and welcome to Never Post, a
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podcast for and about the
Internet. I'm your host, Mike
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Rugnetta, and we have a
centering show for you this
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week. In this episode, Hans
chats with Dave Karpf, associate
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professor in the school of media
and public affairs at George
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Washington University and the
author of several books on the
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intersection of digital media
and politics. Hans and Dave take
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a close look at the recent
onslaught of tweets, blog posts,
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and headlines all claiming that
the AI apocalypse is on its way,
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if not in some sense already
here. Will artificial
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intelligence bring about the end
of humanity within a decade as
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multiple anthropic researchers
claim is the case?
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Are AI developers actually
creating a super intelligent god
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that represents the next
evolution of existence. Wait. Is
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that a thing people actually
believe? I I have bad news for
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you. Hans and Dave get into some
of the deep backstory that leads
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to this moment, but one
significant event worth covering
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upfront right here is the hack
of AI research platform Hugging
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Face by a not publicly available
OpenAI model.
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The company disclosed the hack
in July, and the story as it's
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told is this. OpenAI is testing
the model's capabilities inside
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a sandbox, a digitally enclosed
space, which the model pursuing
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what it understands its
instructions to be breaks out
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of. Please imagine that I'm
doing big quote fingers around
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all of these spatial metaphors.
The model then makes its way to
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Hugging Face where it, through
various misdeeds, gains access
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to a private database on their
servers. OpenAI claims that the
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hack was not malicious.
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The model was simply attempting
to pass a test it was given, one
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related to benchmarking. Other
companies like Anthropic and
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Meta, not wanting to be left in
the dust looking like losers
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without models doing some casual
b and e, piped up claiming that
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their models had done something
similar, broken containment.
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Seeing then narrow problems
posed to these models resulting
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in so called misalignment that
leads to security breaches, a
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particular stripe of researchers
saw only paper clips, the end of
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humanity. And so they began
ringing the doom bell. It's
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these events, these people,
their beliefs, and their place
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in technology history that Hans
and Dave take as their focus
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today.
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But first, you know what I'm
gonna say. We're gonna take a
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quick break. You're gonna listen
to some ads unless you're on the
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member feed. And when we return,
Hans, Dave, and the probably not
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so impending AI apocalypse.
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Hans Buetow: I Man, I appreciate
this. Dave, thank you. So
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they... Okay. So the reason is
because on Tuesday, September 8,
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so just last week, a guy I've
never heard of named Jacob
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Coxen, he's just left the AI
team at Anthropic, and he's
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tweeting that they don't
understand what's going on, and
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there's a ten percent chance
that AI destroys humanity in the
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next ten years.
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And this is the spark that sets
off a chain reaction of nuclear
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discourse over the past week.
Just wild stuff. He says even
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this is possibly the most
dangerous technology humanity
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has ever created. So you are an
associate professor in the
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School of Media and Public
Affairs at George Washington
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University, and you do research
which is exploring the Internet
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and the impact on political
associations, which I think is
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perfect for this. You have a
couple of books, The Move On
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Effect, The Unexpected
Transformation of American
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Political Advocacy and Analytic
Activism, Digital Listening, and
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The New Political Strategy, and
you post.
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I read what you say about blog,
tech, industry, politics, AI. So
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before I go investing in hazmat
suits and bunkers, I would love
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if we could get a level set here
from you, someone I trust to
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give me this trait dope. Does
this sound okay?
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Dave Karpf: Absolutely. Also,
let me... This is not just
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bragging, but this is relevant.
One sec.
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Hans Buetow: Wandering back to
your copious bookshelf. I'm so
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excited about what you just held
up Vaporware Inc, How Silicon
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Valley Sets the Future to
Control the Present by David
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Karf.
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Dave Karpf: Yes. The book comes
out in January. This is the pre
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pub version. But everybody can
preorder it right now. And
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that's really where I'm coming
from in this stuff is I spent
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the past several years.
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I started out by reading the
entire back catalog of Wired
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magazine, like issue by issue,
cover to cover. I read it twice
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to get a sense of the stories
that Silicon Valley tells about
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the future. Because, you know,
there's the old line by Mark
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Twain that history doesn't
repeat itself, but it rhymes.
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Like, the same is kinda true for
futurism. And that's how I tend
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to approach this moment is
taking seriously what these
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folks are saying, but also
remembering that they're not the
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first set of people to be having
these sorts of conversations.
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We can learn a bit from their
their own history.
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Hans Buetow: Okay. So let's
start with Coxen then. This guy
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goes out and tweets. There's a
10% chance that humanity is
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about to end in the next ten
years because of the speed at
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which AI is moving. What context
can you give us for who this man
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is?
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Dave Karpf: With this guy...
And, you know, he he writes this
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tweet. He resigns. I think part
of why people paid so much
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attention to it is that other
figures at Anthropic then
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retweeted and replied saying,
like, yeah, we're not leaving
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our jobs, but he's right. We're
not...
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We're trying our best, but we're
not prepared for this. And,
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yeah, maybe like 10 ish percent
chance that we will end the
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entire world. I think the thing
to understand is this isn't just
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Crita Hype marketing. Like,
they're not just trying to scare
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you so they'll build their
products. I think they do
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believe the things that they're
saying.
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Okay. And also, they're kind of
huge online weirdos. And, like,
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they are not dispassionate
scientists who have run the
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numbers and arrived at 10%.
Okay. Those are people who are
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hanging out in a subculture, and
that subculture has
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extraordinaire...
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Access to extraordinary wealth
and power. The AI safety
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community, which is what Jacob
Coxen comes out of, what this
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entire crowd comes out of, is
not a cult, but it's not not a
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cult. Oh, yeah. Like, it's kinda
culty. Some of the history here,
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the entire AI safety community
originates in the less wrong
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online discussion boards, which
are lorded over by Elias
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Riyadkowski, the author last
year of If Anyone Builds It,
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Everyone Dies, which is sort of
a major AI doomer tract.
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He before that wrote a... I
think it was like a 700 page
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Harry Potter fanfic called Harry
Potter and the Methods of
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Rationality. And prior to the
less wrong rationalist
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community, Elijah Judkowski and
the rest of that crowd started
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out in the extropion discussion
boards back in the nineteen
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nineties. The extropions are the
people who think that we can
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live for forever so long as we
freeze our bodies when we die,
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and then they'll later on invent
a singularity and be able to
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upload our minds, we'll live
forever. Because again, like,
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encountered the extropions by
reading Wired 1994 covering
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them.
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And my thought at the time was,
well, yeah, these guys seem
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kinda nuts. Pretty ridiculous.
Kinda fun that back in the
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nineties, people thought we
would be there soon. And what's
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happened over the intervening
decades is the subset of the
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Internet that took that stuff
really seriously all marinated
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together in online discussion
boards and sort of built up as,
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like, a group think and a set of
shared beliefs. And then some of
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them became multibillionaires
and started companies and
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invested in the rest of them.
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I've joked before that the
rationalist community is to
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Silicon Valley what Scientology
is to Hollywood. Like, everyone
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in Hollywood isn't a
Scientologist, but an awful lot
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of very powerful people in
Hollywood happen to be
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Scientologists, and it's a
little weird. And since they're
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all networked together, like,
all believe the same thing
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about, like, Xenu. And they
genuinely believe it, and also
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that doesn't make it real. So
the entire AI safety community
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is part of that crowd that
genuinely believes some things
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that seem astonishingly strange
to the rest of us, we usually
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don't encounter it.
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And when we do, like, we should
believe that they believe it,
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but that doesn't mean that
they're right. Like, there's a
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lot to be worried about with AI
and safety right now. But it's
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not that the AI is gonna turn
sentient, become super
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intelligent, and then kill us
all. Like, we don't really need
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to worry about that. It's
definitely not a 10% chance.
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What we do need to worry about
is there are an awful lot of
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flaws in this technology that is
getting pushed everywhere. And
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since they need to make all the
money, they're going where all
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the money is, which means that
we're now having the AI, like,
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pilot our drones. And so I do
think the reaction to this
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should be, okay. Yeah. We should
slow down the deployment of all
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this AI, not because we think
that they're right and
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superintelligent AI is gonna
destroy humanity, but because
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there's this really strange
subculture with too much access
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to wealth and power, and even
they aren't sure how this is
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gonna go.
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So maybe we shouldn't be
trusting them to police and
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control themselves, and we
actually need the rest of
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society to fill in and set a
regulatory framework, set
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liability frameworks so that
these company, these, like,
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multi trillion dollar companies
apparently can't just go and
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wreak harm all the time.
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Hans Buetow: So now that we have
that sort of... Like, I feel a
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little bit calmer about, like
Yeah. How to think about it. Now
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I'm just really curious about
the why now. Like, why did this
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tweet thread blow everything so
sky high?
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And I wanna put on my tinfoil
hat a little bit and just and
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just see if I'm being weird
about this because we're in
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September now, which means we're
just on the brink of q four. And
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this is a q four that comes at
the end of a year where Pew
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estimates that more than a third
of the con... New content on the
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Internet was written by or with
the assistance of AI, and also a
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year where the polls show that
most people are more wary of
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tech than they are hopeful, and
also where more than half of
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Americans have said in this past
June that they're worried AI
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will put someone in the
household out of work. Mhmm. So
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is this marketing to a very
specific shareholder audience?
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Because it sure does line up
timing wise with an important
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moment for them. But is that,
like, is that wild thinking?
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Dave Karpf: It's not the wildest
thinking. There's a... One of my
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favorite writers on finance,
Matt Levine, his riff on this
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has often been that, like, when
Dario Amadai and these other
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folks worry about AI doom, he
doesn't think that it's just
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marketing. It also happens to be
really good marketing.
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Hans Buetow: Sure.
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Dave Karpf: Like, if you were
saying, like, our technology is
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so powerful that it can end the
world and render money obsolete,
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it's a pretty good investment
pitch. I would actually point to
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a different thing than the q
four earnings, though, which is
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the hugging face hack, where
OpenAI had to come out and
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admit, like, yeah. You know, we
were testing this AI in in a
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sandbox with all the guardrails
turned off, and it got out of
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the sandbox, and then it
actually hacked hacked things on
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the open web. And we're still
trying to figure out how it did
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it. And then after that,
Anthropic came out and said,
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like, oh, yeah.
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Ours kinda kinda hacked some
stuff too. Whoops. I think
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they're reacting to that and
sort of saying, oh, wow.
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We're... We feel like we're
moving really, really fast, and
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it's all gas, no brakes as we
head towards IPO land.
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And those of us who are in
charge of safety are getting
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real nervous about that. And,
again, part of the reason why I
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think that is the general...
Like, if you work at OpenAI and
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Anthropic, you are otherwise...
Like, the rest of the week,
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you're really upset about how
most of the country now really
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doesn't like data centers and
thinks that your products are
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low key evil. Right.
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And if you're working in PR for
one of these companies, you
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really wanna have, like, a good
day where you can just brag
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about how, like, oh, yeah.
Like... And, like, OpenAI wants
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to brag about how, like, they
just solved a a millennial math
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problem.
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Hans Buetow: Yeah.
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Dave Karpf: And so right now, it
is, I think, inconvenient for
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them that Coxswain was like,
don't know. I'm kinda freaked
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out, and I think everyone should
be more freaked out. But I think
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it's that sense of hugging face
seems like... Seems very
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important to the AI safety crowd
specifically, and they have the
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sense that everything is all
gas, no brakes, and they would
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like some brakes, please.
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Hans Buetow: I would like to put
it as not just important to that
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crowd. I think it's really
important to people like me
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who's, like, trying to follow,
and that's, like, the big story
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from the summer. It's happened
in, like, July. Right? Yeah.
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And so that's the context I'm
coming from as the last big AI
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story, And all a sudden, the
security guys are coming out and
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being like, holy moly. Like,
we're heading towards
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extinction. And I think you put
those two things in such
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proximity to each other, it
foments a specific type of
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believability alongside a
specific kind of panic. And I I
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wanna ask you about it because
it's... You framed it just now
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so much differently than most of
the media framed that incident,
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the hugging face incident.
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00:14:06,630 --> 00:14:09,895
Right? Mhmm. So there have been
people who have spoken like you
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did, who have urged caution.
Right? So Kieran Martin from the
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economist, Wired put out a piece
that says rogue AI agents aren't
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evil.
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They're just eager to please.
Kat Tenbarge, Cal Newport. There
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have been folks who have said,
hey now. It's not actually
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malicious super beings. Yep.
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What's happening is much more
complicated, but what's really
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staggering is the level of
headline that happened at the
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level of publication. I'm gonna
read you a couple of headlines
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really quick from legacy media.
Mhmm. Politico says hundreds of
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AI agents went rogue in OpenAI's
hugging face hack. CNN, rogue AI
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agents escaping containment.
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Wall Street Journal, cyber
attack by rogue AI swarm stokes
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fears of out of control agents.
New York Times. This one I love
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because it's just alliteration.
Anatomy of an autonomous attack,
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five alarming AI capabilities. I
mean, I'm a sophisticated
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consumer of news if that's where
I'm getting my sources, and
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that's the level of panic that
they're putting into these
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headlines.
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Why did everyone run with the
story? Why are people framing
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this story this way? And kinda
like, how should we think about
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that hugging face incident in
relationship to this?
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Dave Karpf: Right. And so part
of the reason why we get those
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sorts of headlines is there is
sort of like an information
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asymmetry here where the... A
lot of the people who are
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working at the companies and in
a position to explain at a
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technical level what happened
Also, come out of the crowd that
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thinks we are building sentient
AI that is going to become...
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Like, is going to be the next
stage of evolution and will
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replace humanity. Like, again,
they come out of that crowd.
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They believe that stuff. I think
it was Dwarkash Patel, the
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podcaster, wrote a really
popular piece where he was
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trying to explain the hugging
face hack as, like, three
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civilizations of AI agents rose
and fell along the way to their
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effort to, like, hack these
websites.
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Hans Buetow: There's so much
intentionality in that frame.
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Dave Karpf: So much, like, so
much intentionality and, like,
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that, you know, that is very
clever wording. And then the
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response from an awful lot of
critics, including people who
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are much more technically
knowledgeable than me, was like,
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man, can you not call it a...
They're not... Like, that's fun
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sci fi, but, no, they didn't
they didn't have the rise and
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fall of civilizations here, man.
Like, they had...
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Like, I think it's Corey
Doctorow, who again is much more
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technically knowledgeable than
they pointed out, like, one of
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the ways to understand the
Hugging Face hack is they built
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a shitty sandbox. Like Yeah.
They built a better sandbox. It
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shouldn't have been able to get
onto the Internet. I guess it's
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impressive that they have now
built sophisticated enough AI
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agents that they can hack out of
the insecure sandboxes, but
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guys, you gotta build better
sandboxes.
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Hans Buetow: This is not the
velociraptors opening the doors.
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Right.
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Dave Karpf: Yeah. This is you
left part of it, like, one of
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the doors unlocked and then also
created a scenario where you
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pushed these AI agents until
they could finally find
a way to
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unlock the doors. And if you do
that for enough cycles, then
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some stuff will happen. And,
again, that proves a bunch of
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00:17:29,360 --> 00:17:33,285
capabilities that weren't there
two or three years ago. But this
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00:17:33,285 --> 00:17:35,525
points to one of the the broader
questions of sort of like, what
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do you do with all this stuff?
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Because one of the... Like, the
the answer for normal people,
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00:17:41,285 --> 00:17:45,525
and I cannot stress enough that
it is also the right answer, is
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you assign liability to the
companies with punitive fines.
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Like, if if you would like
swarms of AI agents not to hack
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lots and lots of websites, know,
one thing is to say, like, we
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must slow down and come to
understand AI agent society and
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then treat them to be nice and
respectful to human society, all
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of which is sort of steeped in
this weird mysticism that
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doesn't really hold up. And
another is to say to all the
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Frontier Labs, hey, guys. Since
these are your products, if your
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if your products go and hack
websites, there are, you know,
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giant fines and jail time for
you.
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If you do that and you enforce
that, then I can pretty much
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00:18:28,345 --> 00:18:31,305
guarantee that all of the...
These major labs will complain
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for a minute and then figure out
ways to make sure that their
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sandboxes are airtight because
they don't wanna go to jail. And
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one of them did. The rest will
figure out, okay. Let's not do
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that.
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Like, the the way to regulate
this stuff is to actually have a
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regulatory scheme with
penalties. It's not to sort of
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build up a a... Like a like a a
church of AI that comes to
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understand it and then enlighten
us all.
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Hans Buetow: Lina Khan Mhmm. Our
our former Federal Trade
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Commission secretary responded
to this in exactly the way that
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00:19:03,705 --> 00:19:06,505
you're talking about. She said
there are plenty of laws that
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the FTC has on the books already
for this kind of situation. She
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00:19:10,630 --> 00:19:14,070
said that law enforcers already
have the authority to charge
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companies and their CEO for
creating and releasing
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00:19:17,030 --> 00:19:20,735
dangerous, unvetted, or
defective products. We shouldn't
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00:19:20,735 --> 00:19:23,455
let discussions about new legal
regimes distract from the fact
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00:19:23,455 --> 00:19:27,615
that there's no AI exemption, no
exemption, from laws already on
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00:19:27,615 --> 00:19:31,055
the books, things like consumer
protection laws against unfair,
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00:19:31,055 --> 00:19:34,175
deceptive acts, unfair methods
of competition, conflict of
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00:19:34,175 --> 00:19:38,440
interest laws, laws against poor
data security, all of those
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00:19:38,440 --> 00:19:39,720
already on the books.
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Yeah. We know, though, that we
are currently being led by an
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administration that is in no way
going to enforce those things. I
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00:19:47,935 --> 00:19:51,055
think we can all kind of agree
that that's just not on the
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table. Yeah. Is there then a way
to read kind of what happens
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00:19:55,775 --> 00:20:00,975
next in the timeline of the past
week as the company's coming out
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and being like, okay then.
349
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Why don't we do it ourselves?
Because on Friday of last week,
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this is just a couple of days
after Cox sends his tweet, Dario
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Amade, who's the CEO of
Anthropic, he comes out with a
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00:20:15,080 --> 00:20:21,475
3,200 word blog post all about
this, where he actually talks
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about the the hugging face thing
and says that it's... You know,
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00:20:26,035 --> 00:20:29,075
he gets all doomerist about it,
and he says... And he agrees
355
00:20:29,075 --> 00:20:32,850
with Coxen, and he says we need
a slowdown. And that he's gonna
356
00:20:32,850 --> 00:20:35,890
open his company to auditors,
and that other companies should
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too, and that we're gonna pace
the frontier.
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And I wanna know, like, it feels
to me like this is the sort of
359
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thing where he's like, hey. Hey.
Hey. Hey. The smart guys are
360
00:20:48,825 --> 00:20:49,385
talking.
361
00:20:49,465 --> 00:20:52,665
Don't worry. We'll... We will
take care of this. That, like,
362
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take your cues for how all this
works from us, how you feel, and
363
00:20:56,185 --> 00:20:58,665
how you behave towards our
products. You should take your
364
00:20:58,665 --> 00:20:59,385
cues from us.
365
00:20:59,385 --> 00:21:01,700
And you know what? We'll just be
in charge of our own regulation.
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00:21:01,700 --> 00:21:05,220
He actually says in this thing,
unfortunately, passing laws can
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take time. Mhmm. And AI is
advancing very quickly.
368
00:21:08,740 --> 00:21:12,020
Therefore, in parallel with the
regulatory route, AI companies
369
00:21:12,020 -->
00:21:16,865
can and should voluntarily work
together to set standards. Am I
370
00:21:16,865 --> 00:21:19,345
off on that? Does it feel like
they're stepping forward and
371
00:21:19,345 --> 00:21:22,945
being like, nothing... I mean,
it's wrong, but we'll take care
372
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of it.
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00:21:23,585 --> 00:21:28,865
Dave Karpf: So I think I have
three notes. Maybe more than
374
00:21:28,865 --> 00:21:32,920
that, but let's start with
three. Okay. First is I think it
375
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would be really interesting to
give truth serum to the AI execs
376
00:21:39,320 --> 00:21:43,560
and ask them in a scenario where
they had to give an honest
377
00:21:43,560 --> 00:21:47,315
answer, which are you actually
more afraid of? Super
378
00:21:47,315 --> 00:21:50,035
intelligent AI or Lena Khan?
379
00:21:50,195 --> 00:21:54,195
Part of a big reason why so much
of Silicon Valley moved over to
380
00:21:54,195 --> 00:21:59,475
Trump in 2024 was out of a fear
of Lena Khan and other
381
00:21:59,980 --> 00:22:03,020
regulators in the Biden
administration who were treating
382
00:22:03,020 --> 00:22:06,220
Silicon Valley as though it
wasn't, like, the world's
383
00:22:06,220 --> 00:22:09,180
special boy who the rules didn't
apply to. Yes. So, like, Lena
384
00:22:09,180 --> 00:22:11,580
Khan spent several years...
There... There's this one memo.
385
00:22:11,580 --> 00:22:14,295
This, by the way, is is in my
book, Vaporware Incorporated.
386
00:22:14,295 --> 00:22:15,015
Hans Buetow: I love it. I love
387
00:22:15,015 --> 00:22:18,055
Dave Karpf: it. Much better. But
one of the things that I that I
388
00:22:18,055 --> 00:22:21,255
point out in that, there was a
memo that got published by
389
00:22:21,255 --> 00:22:25,415
Khan's FTC that just said to the
AI companies, like, hey. Just a
390
00:22:25,415 --> 00:22:28,320
reminder, you're not allowed to
lie about what your products do.
391
00:22:28,320 --> 00:22:31,440
If you say that your product
uses AI for some purpose, it
392
00:22:31,440 --> 00:22:33,200
actually has to use AI for that
purpose.
393
00:22:33,440 --> 00:22:36,720
Otherwise, we will investigate
and find you. And all of Silicon
394
00:22:36,720 --> 00:22:40,045
Valley lost their minds. Yeah.
Because, like, we're supposed to
395
00:22:40,045 --> 00:22:42,045
move fast and break things.
We're supposed to, you know, do
396
00:22:42,045 --> 00:22:42,605
vaporware.
397
00:22:42,605 --> 00:22:44,765
We're supposed to build up
products and then wait to
398
00:22:44,765 --> 00:22:46,765
actually create the real product
until after we've seen that
399
00:22:46,765 --> 00:22:49,245
there's a market for it. Like,
that's our way. We're we're the
400
00:22:49,245 --> 00:22:51,645
world's special boys building
the future. And they were
401
00:22:51,645 --> 00:22:55,630
outraged at this idea that the
largest companies on Earth would
402
00:22:55,630 --> 00:22:58,750
be treated on the basis of their
results rather than
their
403
00:22:58,750 --> 00:23:02,190
ambitions. Like, that's part of
how we got here is so many of
404
00:23:02,190 --> 00:23:04,830
the AI figures, not not Amodai,
but an awful lot, you know, like
405
00:23:04,830 --> 00:23:09,245
Elon Musk, you know, Greg
Brockman from OpenAI, like, they
406
00:23:09,245 --> 00:23:12,925
all have donated heavily to
Trump and the regime.
407
00:23:12,925 --> 00:23:16,045
A bunch of them got into Doge
and led Doge because they
408
00:23:16,045 --> 00:23:18,605
believe that the regulatory
state should be decimated and
409
00:23:18,605 --> 00:23:21,800
Silicon Valley should be left to
its own devices. Mhmm. So while
410
00:23:21,800 --> 00:23:24,440
I do think that they believe
that they're building super
411
00:23:24,440 --> 00:23:27,880
intelligent AI and maybe it'll
destroy the world, I I honestly
412
00:23:27,880 --> 00:23:31,080
think their dreams are a lot
more haunted by Lena Khan and
413
00:23:31,080 --> 00:23:33,800
competent regulators. It's like
that's the first thing I wanna
414
00:23:33,800 --> 00:23:34,600
point out here.
415
00:23:34,600 --> 00:23:35,320
Hans Buetow: Yeah. Okay.
416
00:23:35,615 --> 00:23:38,015
Dave Karpf: That gets to the
second that... I I read that
417
00:23:38,015 --> 00:23:41,855
Amadai essay. Yeah. I thought...
I I saw it on Saturday, which
418
00:23:41,855 --> 00:23:43,855
meant that I had to spend my
weekend reading that thing.
419
00:23:43,855 --> 00:23:50,270
Thanks a lot, buddy. But... I I
read that. I've got... Wrote a
420
00:23:50,270 --> 00:23:51,630
thread responding to it on Blue
Sky.
421
00:23:51,630 --> 00:23:55,230
That thread is gonna turn into
an essay on tech policy press, I
422
00:23:55,230 --> 00:23:57,630
think, later on this week. But
the the main thing that stands
423
00:23:57,630 --> 00:24:00,910
out, like, you... You're right.
It's accurate that his stance
424
00:24:00,910 --> 00:24:04,795
is, well, the government's not
gonna do it, so let's just trust
425
00:24:04,795 --> 00:24:08,555
the AI industry to regulate
itself. His ask from government
426
00:24:08,555 --> 00:24:12,955
is he thinks for the big AI
firms to freeze things in place
427
00:24:12,955 --> 00:24:16,075
and slow things down and handle
it all, what they need is a
428
00:24:16,075 --> 00:24:19,150
waiver from the government not
to pursue them for antitrust
429
00:24:19,150 --> 00:24:20,110
violations.
430
00:24:20,110 --> 00:24:22,910
So the one thing they want from
regulators is really, really
431
00:24:22,910 --> 00:24:26,510
promise not to regulate us at
all. Mhmm. He's... So like,
432
00:24:26,510 --> 00:24:28,910
that... Then like that stands
out because again, it's it's a
433
00:24:28,910 --> 00:24:32,990
weird thing when Amadai who kind
of plays the role of at least if
434
00:24:32,990 --> 00:24:35,995
not the good AI guy, then at
least the less bad AI guy.
435
00:24:36,235 --> 00:24:39,755
Right? Like, when he comes
forward and says, yes. You know,
436
00:24:39,755 --> 00:24:43,995
we need to slow down the pace of
AI adoption. And he he has a
437
00:24:43,995 --> 00:24:47,195
line in there that, like,
unfettered competition amongst
438
00:24:47,195 --> 00:24:50,740
companies is gonna be a race to
the bottom. Yes.
439
00:24:50,740 --> 00:24:52,980
Like, I read that, and I think,
yes. Like, this is the reason
440
00:24:52,980 --> 00:24:56,020
why I think we ought to keep on
slowing down the pace of data
441
00:24:56,020 --> 00:25:00,420
centers because the the way this
stuff is getting developed is
442
00:25:00,420 --> 00:25:03,780
nuts and is bad for society. So
I... Like, I want to agree with
443
00:25:03,780 --> 00:25:08,515
him, And then the place where he
definitely loses me is I look at
444
00:25:08,515 --> 00:25:12,195
the trajectory of this industry
and think we cannot trust the AI
445
00:25:12,195 --> 00:25:16,115
industry to police the excesses
and the worst behaviors of the
446
00:25:16,115 --> 00:25:18,850
AI industry. There's too much
money involved.
447
00:25:18,850 --> 00:25:21,810
If if we build out this
technology just through the
448
00:25:21,810 --> 00:25:25,650
mechanisms of market competition
in unfettered capitalism, that's
449
00:25:25,650 --> 00:25:27,890
the way to end up at an awful
lot of the worst results. Right?
450
00:25:27,890 --> 00:25:30,945
Like, that's how we end up just
figuring out what is the market
451
00:25:30,945 --> 00:25:33,425
for AI murder drones, whether
they work or not, because
452
00:25:33,425 --> 00:25:36,305
there's an awful lot of money in
military tech. Rather than
453
00:25:36,305 --> 00:25:38,705
figuring out, okay, what's the
transparency requirements? What
454
00:25:38,705 --> 00:25:39,905
are the boundaries gonna be?
455
00:25:39,985 --> 00:25:42,945
Like, who is liable when the AI
murder drone kills people it
456
00:25:42,945 --> 00:25:45,420
wasn't supposed to kill? Like,
all that needs to get worked
457
00:25:45,420 --> 00:25:50,220
out. The industry is not gonna
do that to itself. I think that
458
00:25:50,220 --> 00:25:53,340
we as a society should be
looking at AI and the pace of AI
459
00:25:53,340 --> 00:25:56,220
adoption and sort of this
industry and its behaviors and
460
00:25:56,220 --> 00:25:59,645
saying, you know, you guys can't
be in charge of this. We need
461
00:25:59,645 --> 00:26:00,205
governments.
462
00:26:00,205 --> 00:26:03,805
We need democracy. We need
regulators to kinda get in your
463
00:26:03,805 --> 00:26:07,725
way and interfere. And he's
throwing out a bunch of
464
00:26:07,725 --> 00:26:10,365
examples. Like, he's he's got
this... His first proposal is
465
00:26:10,365 --> 00:26:13,960
they should have monitoring and
transparency, And then he brags
466
00:26:13,960 --> 00:26:17,000
that this company, Meter, has
been doing the monitoring for
467
00:26:17,000 --> 00:26:17,400
them.
468
00:26:17,720 --> 00:26:20,760
Meter is is tiny, and it's made
up of a bunch of people who,
469
00:26:20,760 --> 00:26:22,840
like, live in
the same group
houses as as Anthropic
470
00:26:22,840 --> 00:26:26,360
employees. Mhmm. Like, it's well
meaning, but it is nowhere near
471
00:26:26,360 --> 00:26:29,365
large and powerful enough to
actually be a meaningful check
472
00:26:29,365 --> 00:26:31,765
on Anthropic. And part of how
you know that is if they ever
473
00:26:31,765 --> 00:26:34,245
found anything that Anthropic
didn't want, Anthropic could
474
00:26:34,245 --> 00:26:37,045
could just change its mind since
it's voluntary. Right.
475
00:26:37,045 --> 00:26:40,245
But he compares that to, like,
the monitors in the banking
476
00:26:40,245 --> 00:26:43,880
industry. And the thing about
the the monitoring in the
477
00:26:43,880 --> 00:26:47,080
banking industry is that largely
comes about after the great
478
00:26:47,080 --> 00:26:48,200
financial crisis.
479
00:26:48,200 --> 00:26:48,600
Hans Buetow: Yeah.
480
00:26:48,600 --> 00:26:50,280
Dave Karpf: And then the... We
have the force of government
481
00:26:50,280 --> 00:26:53,240
saying, you're gonna have this
monitoring and transparency, or
482
00:26:53,240 --> 00:26:55,160
we will find the hell out of
you, and there will be jail
483
00:26:55,160 --> 00:26:57,365
time. Right? Like, the force of
government is the only thing
484
00:26:57,365 --> 00:27:00,965
that makes that stick. The thing
he's describing is actually an
485
00:27:00,965 --> 00:27:04,645
awful lot more like Arthur
Andersen and the Enron scale...
486
00:27:04,645 --> 00:27:05,685
In the Enron scandal.
487
00:27:05,685 --> 00:27:07,285
Hans Buetow: Oh, interesting
comparison. Yeah.
488
00:27:07,285 --> 00:27:09,685
Dave Karpf: There... There's an
awful lot of transparency in the
489
00:27:09,685 --> 00:27:13,470
Enron era. But since it's all
voluntary with a third party
490
00:27:13,470 --> 00:27:16,670
that's much smaller, Enron
figures out like, oh, we can
491
00:27:16,670 --> 00:27:19,470
just... It's just gonna be in
the financial interest of Arthur
492
00:27:19,470 --> 00:27:21,630
Andersen to say what we want
them to say. Yeah.
493
00:27:21,630 --> 00:27:24,190
That ends up furthering all of
the problems. Like, you really
494
00:27:24,190 --> 00:27:27,705
do need government to make the
industry feel uncomfortable.
495
00:27:28,345 --> 00:27:30,905
Otherwise, you're not gonna have
any meaningful checks on the
496
00:27:30,905 --> 00:27:34,665
industry. And so, again, like,
think Amadai is is well meaning.
497
00:27:34,665 --> 00:27:34,905
He...
498
00:27:34,905 --> 00:27:38,105
He's like, he wants to have
morals, and those morals are in
499
00:27:38,105 --> 00:27:40,940
tension with his business
ambitions, and he's just kinda
500
00:27:40,940 --> 00:27:45,020
hoping that we can make them
both work. But the answer, if
501
00:27:45,020 --> 00:27:48,140
the history from any other large
in... Powerful industry is any
502
00:27:48,140 --> 00:27:51,100
guide, the answer is actually
you need regulations that aren't
503
00:27:51,100 --> 00:27:55,065
set by the industry itself. You
need rules that they don't like
504
00:27:55,065 --> 00:27:57,305
and make them feel
uncomfortable. You need serious
505
00:27:57,305 --> 00:28:00,185
liability that they can face
massive fines for in jail time
506
00:28:00,185 --> 00:28:00,825
if they don't think...
507
00:28:00,825 --> 00:28:03,225
Do things wrong. Of course, the
industry isn't gonna propose
508
00:28:03,225 --> 00:28:05,705
that, but that's why I think we
should take his recommendation
509
00:28:05,705 --> 00:28:09,110
that we should slow the frontier
and say, that's great. You don't
510
00:28:09,110 --> 00:28:11,590
get to slow the frontier. Other
people do. That's right.
511
00:28:11,670 --> 00:28:13,910
But I have one more point, and
this is the really bad one.
512
00:28:13,910 --> 00:28:14,710
Hans Buetow: Oh, boy.
513
00:28:15,110 --> 00:28:18,230
Dave Karpf: So the the bad one,
the trap we're in Yeah. Is...
514
00:28:18,230 --> 00:28:22,365
And and you noted this. Like, we
we don't have Lina Khan in the
515
00:28:22,365 --> 00:28:24,605
Kamala Harris administration.
We're Yeah.
516
00:28:24,605 --> 00:28:27,405
Stuck with the Trump
administration. Trump listened
517
00:28:27,405 --> 00:28:30,525
to... You know, Ahmad I
published this, and we had both
518
00:28:30,525 --> 00:28:33,800
Elon Musk and Sam Altman saying,
yep. We'll sign on to that. And
519
00:28:33,800 --> 00:28:35,800
then Trump replied to that by
saying, no.
520
00:28:35,800 --> 00:28:38,280
We don't need any of that. All
we need is a really smart
521
00:28:38,280 --> 00:28:41,320
president. We have one. So all
gas, no brakes. Let's just move
522
00:28:41,320 --> 00:28:44,680
forward with it, which I think
Jensen Huang seemed to really
523
00:28:44,680 --> 00:28:47,880
like because, I don't know, I
guess NVIDIA needs more
524
00:28:47,880 --> 00:28:48,680
purchases or whatever.
525
00:28:49,345 --> 00:28:52,625
But we are in a situation where
the Trump administration has
526
00:28:52,625 --> 00:28:55,345
gutted the entire administrative
state in The United States. We
527
00:28:55,345 --> 00:28:57,025
do not have administrative
capacity. We don't have
528
00:28:57,025 --> 00:29:00,465
competent regulators. They've
been threatening Europe and
529
00:29:00,465 --> 00:29:03,790
basically saying, you know, give
or take, if you want NATO, then
530
00:29:03,790 --> 00:29:06,670
you can't regulate anything in
the AI industry. Like, we want
531
00:29:06,670 --> 00:29:09,390
American AI to to win, and we're
gonna flex our muscles.
532
00:29:10,030 --> 00:29:13,230
So we're kinda in... We're kinda
stuck with the worst possible
533
00:29:13,230 --> 00:29:16,475
president for this moment.
Right. And that that does create
534
00:29:16,475 --> 00:29:20,555
a trap that is impossible to get
out of in this moment. Right?
535
00:29:20,555 --> 00:29:23,755
Like, if I was advising Amadai,
I'm like, okay. What do you do
536
00:29:23,755 --> 00:29:28,475
in the next six months? Like,
the industry does need to
help
537
00:29:28,475 --> 00:29:31,490
out with slowing down since god
knows this administration isn't
538
00:29:31,490 --> 00:29:36,290
gonna do it. And, also, the
admin... The industry needs its
539
00:29:36,290 --> 00:29:39,730
power to be checked by somebody,
and it's unclear who.
540
00:29:39,810 --> 00:29:41,970
This, again, is the reason why
even though the industry won't
541
00:29:41,970 --> 00:29:46,765
like it, I'm a big fan of
moratoria on data centers on
542
00:29:46,845 --> 00:29:49,485
making huge demands on these
companies before they can build
543
00:29:49,485 --> 00:29:51,885
one to make sure that the
communities they're in are made
544
00:29:51,885 --> 00:29:54,685
better by that data center.
Like, slow all that down because
545
00:29:54,685 --> 00:29:59,085
that's one of the ways to change
the trajectory of the AI future
546
00:29:59,380 --> 00:30:02,420
and take power away from these
companies. If people are
547
00:30:02,420 --> 00:30:04,980
listening to this and they're
they're worried, like, show up
548
00:30:04,980 --> 00:30:08,100
to a data center protest in your
in your area and say, like,
549
00:30:08,100 --> 00:30:10,900
let's say no to that. That's one
way to help slow down the
550
00:30:10,900 --> 00:30:14,015
trajectory of this stuff because
eventually we need competent
551
00:30:14,015 --> 00:30:15,855
regulators again, but it's gonna
take a while.
552
00:30:15,855 --> 00:30:17,695
Hans Buetow: It's gonna...
It's... And and in the meantime,
553
00:30:17,695 --> 00:30:20,415
you know, Daria's proposing,
like, oh, I'll just have
554
00:30:20,735 --> 00:30:22,975
auditors come in that'll have,
you know
555
00:30:23,695 --> 00:30:25,055
Dave Karpf: Auditors who I'm
friends with.
556
00:30:25,055 --> 00:30:26,815
Hans Buetow: Like Who I'm
friends with. Exactly. I... Who
557
00:30:26,815 --> 00:30:29,510
I control. So don't you worry,
folks.
558
00:30:29,590 --> 00:30:31,910
We're the smart... We're the
geniuses who created the
559
00:30:31,910 --> 00:30:34,310
problem. We're the only geniuses
who can solve the problem
560
00:30:34,550 --> 00:30:34,710
Dave Karpf: Yeah.
561
00:30:34,710 --> 00:30:36,710
Hans Buetow: Is what I hear a
lot of in that.
562
00:30:36,870 --> 00:30:38,950
Dave Karpf: That that is
absolutely what I read into that
563
00:30:38,950 --> 00:30:44,665
as well. And we should trust
Dario Amadai just enough to say,
564
00:30:44,665 --> 00:30:47,145
alright. We're not gonna trust
you for the solution. We need
565
00:30:47,145 --> 00:30:48,105
other people here.
566
00:30:48,185 --> 00:30:52,585
Hans Buetow: So let's then
catapult ourselves forward a few
567
00:30:52,585 --> 00:30:55,030
days. It's alarming how fast
conversation is.
568
00:30:55,030 --> 00:30:57,830
Dave Karpf: I'm so tired by this
already. I'm so tired.
569
00:30:59,670 --> 00:31:01,750
Hans Buetow: Okay. Well, we're
almost there because this gets
570
00:31:01,750 --> 00:31:05,190
us almost up to speed now. So
let's catapult to the fifteenth.
571
00:31:05,190 --> 00:31:10,965
So this is Tuesday the
fifteenth. And it seems like one
572
00:31:10,965 --> 00:31:14,165
of the responses to what you're
saying where some sort of
573
00:31:14,165 --> 00:31:17,605
regulation is needed, some sort
of regulation actually exists.
574
00:31:17,605 --> 00:31:22,485
We just need somebody to, like,
actually employ that. Now we're
575
00:31:22,485 --> 00:31:28,030
getting these absolutely
Frankenstein bizarre alliances
576
00:31:28,030 --> 00:31:34,910
of people getting together with
bizarre high minded names
577
00:31:35,230 --> 00:31:35,390
Dave Karpf: Mhmm.
578
00:31:36,015 --> 00:31:39,855
Hans Buetow: To try to do
something about what has erupted
579
00:31:39,855 --> 00:31:42,975
in the past week. So just this
Tuesday, there was a quote,
580
00:31:42,975 --> 00:31:47,135
unquote... It was called a
prohuman assembly Mhmm. In
581
00:31:47,135 --> 00:31:50,335
Washington. And this is the trio
who got together.
582
00:31:51,150 --> 00:31:55,230
Coxen, who is the... Our our
tweet guy from last week who no
583
00:31:55,230 --> 00:31:58,430
one knew about the eight days
before that.
584
00:31:58,590 --> 00:32:00,350
Dave Karpf: Coxen Fifteen
minutes of fame.
585
00:32:00,510 --> 00:32:01,950
Hans Buetow: Bernie Sanders.
586
00:32:02,030 --> 00:32:02,670
Dave Karpf: Mhmm.
587
00:32:02,670 --> 00:32:04,190
Hans Buetow: And who do you
place with that? Well, of
588
00:32:04,190 --> 00:32:05,710
course, you go with Steve
Bannon.
589
00:32:05,710 --> 00:32:07,705
Dave Karpf: Of course. Of
course. Because otherwise, it's
590
00:32:07,705 --> 00:32:08,825
not sweaty enough.
591
00:32:11,065 --> 00:32:12,985
Hans Buetow: Guys are getting
together and being like, we're
592
00:32:12,985 --> 00:32:18,745
gonna go with... We're doing
prohuman AI. Yeah. What? What do
593
00:32:18,745 --> 00:32:19,225
Dave Karpf: you Yeah.
594
00:32:19,225 --> 00:32:20,610
Hans Buetow: Dave, help.
595
00:32:21,410 --> 00:32:27,170
Dave Karpf: I I I I really
can't. I I I would love to sit
596
00:32:27,170 --> 00:32:32,370
down with Bernie and have a slow
conversation that features an
597
00:32:32,370 --> 00:32:35,935
awful lot of me, like, peering
over my glasses at him and
598
00:32:35,935 --> 00:32:40,255
saying, sorry, what? Like, just
a real slow conversation with
599
00:32:40,255 --> 00:32:43,295
him about what the hell he
thinks he's doing. The main
600
00:32:43,295 --> 00:32:47,770
thing that stands out to me is,
like, that's all spectacle. I
601
00:32:47,770 --> 00:32:48,890
can understand how...
602
00:32:48,890 --> 00:32:51,850
Like, I can understand how Steve
Bannon has decided this is a
603
00:32:51,850 --> 00:32:55,130
spectacle that I can play to.
And so I'm gonna go get a bunch
604
00:32:55,130 --> 00:32:58,570
of attention before, we once
again get the parable of the
605
00:32:58,570 --> 00:33:02,090
scorpion and the frog. Like,
come on. It is 2026, and you've
606
00:33:02,090 --> 00:33:06,455
decided that
Steve Bannon is an
honest ally for you here. Come
607
00:33:06,455 --> 00:33:07,015
on, guys.
608
00:33:07,015 --> 00:33:11,255
Yeah. But, like, this is an
opportunity for them to
609
00:33:11,255 --> 00:33:15,095
grandstand, them to say, like,
the world needs to wake up, and
610
00:33:15,095 --> 00:33:19,150
we need some things, and then do
some performative proposals that
611
00:33:19,230 --> 00:33:22,510
sort of suck the air out of the
room in this moment, and then
612
00:33:22,510 --> 00:33:26,510
the AI industry sort of
continues unchecked. Because as
613
00:33:26,510 --> 00:33:29,310
substantial... Substantive
threats go, this doesn't seem
614
00:33:29,310 --> 00:33:32,715
like a big one. Now again, I I I
think I saw that one of the many
615
00:33:32,715 --> 00:33:36,155
bills that Bernie has introduced
is a data center moratorium
616
00:33:36,155 --> 00:33:36,795
bill.
617
00:33:37,275 --> 00:33:39,675
I don't think it's gonna pass,
but I'd be all for all for that.
618
00:33:39,675 --> 00:33:43,195
Like, sure, man. Go for it.
Right. But an awful lot of these
619
00:33:43,195 --> 00:33:46,830
proposals that are making are
starting from the premise that,
620
00:33:46,830 --> 00:33:49,630
yeah, the threat here is super
intelligent AI.
621
00:33:49,710 --> 00:33:53,710
Yeah. And so we need the better
AI, and we're gonna collaborate
622
00:33:53,710 --> 00:33:57,150
with the AI industry, but, like,
really make some demands to do
623
00:33:57,150 --> 00:34:00,965
so... To be serious and answer
that threat. And, again, going
624
00:34:00,965 --> 00:34:05,445
back to the first point, the AI
industry really believes what
625
00:34:05,445 --> 00:34:08,245
they're talking about there.
That doesn't mean that it's
626
00:34:08,245 --> 00:34:09,605
actually all that believable.
627
00:34:10,085 --> 00:34:13,125
There are a lot of other threats
and harms from AI that come not
628
00:34:13,125 --> 00:34:17,100
from it being misaligned with
humanity, but from it being a
629
00:34:17,100 --> 00:34:19,820
set of technologies that are
getting applied to an awful lot
630
00:34:19,820 --> 00:34:23,100
of uses that they're not all all
that good at... Good for yet.
631
00:34:23,660 --> 00:34:27,660
Like, the the problem is how we
are deploying it and letting
632
00:34:27,660 --> 00:34:32,295
these unconstrained corporations
go wherever the money is and
633
00:34:32,295 --> 00:34:34,775
just try to scoop the money out
even if their products don't
634
00:34:34,775 --> 00:34:37,895
quite work right yet. So there's
an awful lot of other threats
635
00:34:37,895 --> 00:34:43,090
that I think we ought to be more
worried about, none of which fit
636
00:34:43,090 --> 00:34:46,530
the story that the AI industry
wants to tell. And, like, it's
637
00:34:46,530 --> 00:34:50,050
kind of a really annoying
distraction that now Bernie and
638
00:34:50,050 --> 00:34:54,850
Bannon have decided we are gonna
be the the the torchbearers for
639
00:34:54,850 --> 00:34:58,175
fighting
AI because the the tune
they're singing isn't gonna make
640
00:34:58,175 --> 00:34:59,695
any sense and isn't gonna do
anything.
641
00:35:00,015 --> 00:35:05,215
Hans Buetow: Is there anything
then to the threat of China?
642
00:35:05,215 --> 00:35:08,255
Because another thing people are
calling for is AI diplomacy.
643
00:35:08,255 --> 00:35:12,610
Dario Amade in his long screed
says that first we need the
644
00:35:12,610 --> 00:35:16,290
democrat... We need nations that
are... You know, democracies to
645
00:35:16,290 --> 00:35:18,930
come together, then we need full
international cooperation there.
646
00:35:18,930 --> 00:35:21,250
We're gonna bring it to the UN.
We're gonna make this thing an
647
00:35:21,250 --> 00:35:24,530
international effort. China is,
of course, the thing that's
648
00:35:24,755 --> 00:35:28,355
looming large in this, and it
feels like there's IPOs is one
649
00:35:28,355 --> 00:35:34,435
pressure on these companies. And
China developing something
650
00:35:34,435 --> 00:35:37,795
ambiguous that's super
intelligent is on the other
651
00:35:37,795 --> 00:35:41,570
side, and they've got a... They
can't slow down because one of
652
00:35:41,570 --> 00:35:43,090
those two things is gonna
mean...
653
00:35:43,090 --> 00:35:45,810
Is gonna be a death knell for
them if they don't keep moving.
654
00:35:46,450 --> 00:35:49,650
Dave Karpf: So there is a little
something to China... The the
655
00:35:49,650 --> 00:35:51,970
China thing, but only a little
something. And let me Okay. What
656
00:35:51,970 --> 00:35:55,305
I mean by that because it's
important. The Amadai proposal
657
00:35:55,305 --> 00:35:58,985
that there ought to be bilateral
talks between The US and China
658
00:35:59,145 --> 00:36:02,825
on the pace and direction of AI
adoption, that is, in broad
659
00:36:02,825 --> 00:36:03,705
strokes, a good idea.
660
00:36:03,705 --> 00:36:06,025
Like, there ought to be
bilateral lateral conversations.
661
00:36:06,025 --> 00:36:09,390
Yep. The reason why there should
be bilateral conversations is
662
00:36:09,630 --> 00:36:12,990
China... The China threat is
functioning as a boogeyman.
663
00:36:12,990 --> 00:36:13,390
Okay.
664
00:36:13,390 --> 00:36:16,510
Like, if the threat of China
winning this race didn't exist,
665
00:36:16,510 --> 00:36:19,790
the AI industry would need to
invent it because it is really
666
00:36:19,790 --> 00:36:24,725
useful to have a boogeyman that
serves that... Look. Whenever
667
00:36:24,725 --> 00:36:27,045
somebody says, like, yeah, we
should slow down the pace of
668
00:36:27,045 --> 00:36:30,805
data centers. We should apply
liabilities to these companies.
669
00:36:30,805 --> 00:36:33,285
The answer is always, well, if
you do that, then China's gonna
670
00:36:33,285 --> 00:36:33,525
win.
671
00:36:33,525 --> 00:36:36,270
Like, they need that boogeyman
in order to make sure that the
672
00:36:36,270 --> 00:36:39,230
regulators take a light touch
with them and allow them to sort
673
00:36:39,230 --> 00:36:42,910
of act now and apologize later.
The... There's a historical
674
00:36:42,910 --> 00:36:46,430
parallel that always stands out
to me. And, again, it's it's in
675
00:36:46,430 --> 00:36:48,270
the book. It's in chapter two of
my forthcoming book.
676
00:36:48,935 --> 00:36:52,535
But the historical parallel is
actually the the science of
677
00:36:52,535 --> 00:36:54,055
human cloning in the nineteen
nineties.
678
00:36:54,055 --> 00:36:54,695
Hans Buetow: Okay.
679
00:36:55,015 --> 00:36:57,495
Dave Karpf: So nineteen
nineties, you know, they they
680
00:36:57,495 --> 00:37:00,775
clone a sheep, the sheep dolly,
and I think it was 1994. Yeah.
681
00:37:00,775 --> 00:37:06,390
And pretty quickly, a bunch of
people who are sort of vaguely
682
00:37:06,390 --> 00:37:08,870
in the area of science, but not
actual scientists in this area,
683
00:37:08,870 --> 00:37:11,270
say like, well, you know, if you
can clone a sheep, then, like,
684
00:37:11,270 --> 00:37:13,270
you can clone a human. Like,
it's the same thing. I'm sure
685
00:37:13,270 --> 00:37:14,470
we'll be able to do that, like,
next year.
686
00:37:15,405 --> 00:37:18,285
And people freak out because,
well, if we're cloning humans,
687
00:37:18,285 --> 00:37:20,845
then that seems like a radical
change to what it means to be
688
00:37:20,845 --> 00:37:25,645
human. I remember this. And Bill
Clinton then passes a moratorium
689
00:37:25,645 --> 00:37:30,010
saying there will be no use of
government funds to advance
690
00:37:30,010 --> 00:37:34,170
human cloning. Like, you you
can't do it. At that point, the
691
00:37:34,170 --> 00:37:36,650
sort of nascent tech industry,
this showed up in Wired magazine
692
00:37:36,650 --> 00:37:38,090
a bunch, so I had to read all
about it.
693
00:37:38,090 --> 00:37:41,365
But, like, the nascent tech
industry freaked out because,
694
00:37:41,365 --> 00:37:43,925
again, it was government saying,
no. No. There are regulations
695
00:37:43,925 --> 00:37:46,405
that apply to you. There are
things that you can't do. And
696
00:37:46,405 --> 00:37:47,365
they don't like that story.
697
00:37:47,365 --> 00:37:49,765
They like the story of we are
the people who build in the
698
00:37:49,765 --> 00:37:52,485
future. We are special. The
rules don't apply to us. So they
699
00:37:52,485 --> 00:37:55,285
got real, real mad for several
years. And the boogeyman they
700
00:37:55,285 --> 00:37:57,790
kept on invoking was, well,
look.
701
00:37:57,790 --> 00:38:00,830
China doesn't have these
limitations. So if you don't let
702
00:38:00,830 --> 00:38:05,470
us spend tax dollars to advance
our science of human cloning,
703
00:38:05,950 --> 00:38:08,830
then China's gonna invent the
science of human cloning. And,
704
00:38:08,830 --> 00:38:11,150
like, oh my god. Then then
they'll rule. We can't allow
705
00:38:11,150 --> 00:38:11,310
that.
706
00:38:11,775 --> 00:38:14,575
And they said that for, like,
about... Probably about eight
707
00:38:14,575 --> 00:38:18,415
years. They they kept on beating
that drum. In retrospect, it's
708
00:38:18,415 --> 00:38:21,615
not that, like, China didn't
have the same limitations as us.
709
00:38:21,775 --> 00:38:25,760
But China in the same years as
the the one child policy was in
710
00:38:25,760 --> 00:38:29,040
fact not trying to build out a
new technology that would let
711
00:38:29,040 --> 00:38:30,640
them produce tons and tons of
humans.
712
00:38:30,720 --> 00:38:33,680
So, like, they did an awful lot
of investigation into... Like,
713
00:38:33,680 --> 00:38:36,480
they they supported scientists,
like, looking into stem cell
714
00:38:36,480 --> 00:38:39,265
research and a bunch of other
research areas, but they were
715
00:38:39,265 --> 00:38:43,345
not on the trajectory that the
pretend China boogeyman was
716
00:38:43,345 --> 00:38:45,345
supposedly on because the
Chinese government didn't wanna
717
00:38:45,345 --> 00:38:49,505
do that. In the AI race today,
like, yes, it is true that there
718
00:38:49,505 --> 00:38:53,460
are Chinese companies that are
moving forward on on AI. There
719
00:38:53,460 --> 00:38:55,860
are really impressive models
that are a few months behind our
720
00:38:55,860 --> 00:38:59,300
frontier models. And there is
this concern from the AI
721
00:38:59,300 --> 00:39:02,340
industry that, like, if we don't
win the AI race, the China
722
00:39:02,340 --> 00:39:02,980
would.
723
00:39:04,100 --> 00:39:07,815
And, also, I'm not a China
expert, but from what I
724
00:39:07,815 --> 00:39:10,775
understand of the Chinese
government, they may be
725
00:39:10,775 --> 00:39:13,575
interested in surveilling the
populace, but they're not really
726
00:39:13,575 --> 00:39:17,575
interested in overturning all of
humanity and all of government
727
00:39:17,720 --> 00:39:21,960
by unleashing, like, super
intelligent AIs that can replace
728
00:39:21,960 --> 00:39:27,720
us. Like, that at least doesn't
sound like a major goal for
729
00:39:27,720 --> 00:39:32,600
their government in a way that
it's the goal for OpenAI and and
730
00:39:32,600 --> 00:39:35,115
Grok because apparently that's
how they're gonna be able to
731
00:39:35,115 --> 00:39:37,995
scoop $30,000,000,000,000 out of
out of the market the way, you
732
00:39:37,995 --> 00:39:41,755
know, the way these companies
want to. So the China race is...
733
00:39:41,755 --> 00:39:45,035
Isn't good, and it would be a
good idea to have bilateral
734
00:39:45,035 --> 00:39:47,835
talks. Again, if the Harris
administration was here, I would
735
00:39:47,835 --> 00:39:50,900
be saying like, yes, Harris
administration, like, there's an
736
00:39:50,900 --> 00:39:52,420
awful lot of spending here.
737
00:39:52,420 --> 00:39:54,580
Yep. And there's a lot of
competition between the two
738
00:39:54,580 --> 00:39:57,460
countries. You should maybe come
up with some rules of the road
739
00:39:57,460 --> 00:40:00,740
and some agreements. That's
generally a good idea, but the
740
00:40:00,740 --> 00:40:05,685
China boogeyman really poisons
the well here. And anytime I...
741
00:40:05,685 --> 00:40:08,725
Like, when I saw Dario Amadai
talking about it, that for me
742
00:40:08,725 --> 00:40:12,405
was kind of a flag of, okay, he
wants them to be... He wants the
743
00:40:12,405 --> 00:40:16,480
AI industry to police itself and
wants us to make sure that even
744
00:40:16,480 --> 00:40:18,480
if they slow down, they don't
slow down in a way that could
745
00:40:18,480 --> 00:40:21,440
allow the China boogeyman to to
get in front of them. So again,
746
00:40:21,440 --> 00:40:24,400
it sort of strikes me as an
attempt to avoid accountability
747
00:40:24,400 --> 00:40:26,880
in the way that he's doing it.
So, like, yeah, worry about
748
00:40:26,880 --> 00:40:29,935
China, but, like, worry about
China in the right way. Like
749
00:40:30,095 --> 00:40:30,415
Right.
750
00:40:30,415 --> 00:40:33,535
They're they're not trying to
build the things that Elias
751
00:40:33,535 --> 00:40:36,415
Rudkowski and Dario Ahmaday say
that they're trying to build.
752
00:40:36,655 --> 00:40:39,375
Hans Buetow: You have been very
helpful, Dave, at helping me
753
00:40:39,375 --> 00:40:42,730
understand the parameters. I
feel like I'm even talking
754
00:40:42,730 --> 00:40:46,970
slower. I feel so much calmer. I
don't know that it's helped you
755
00:40:46,970 --> 00:40:49,610
at all, but I've I've been
helped. But I am...
756
00:40:49,610 --> 00:40:52,250
Okay. So I feel like I have a
sense of the players. I feel
757
00:40:52,250 --> 00:40:54,570
like I have a sense of the
moments for the past week or two
758
00:40:54,570 --> 00:40:58,085
weeks or, you know, two months
really. But I don't have a
759
00:40:58,085 --> 00:41:02,325
sense, just like you're saying,
of where we go from here Yeah.
760
00:41:02,325 --> 00:41:03,525
And and what we do.
761
00:41:03,525 --> 00:41:08,165
Like, what can you say? You
wrote recently about what you
762
00:41:08,165 --> 00:41:11,640
call a realistic strategy for
limiting the harms of AI. Yeah.
763
00:41:11,640 --> 00:41:14,680
And I'm wondering if you can
help me feel like there's people
764
00:41:14,680 --> 00:41:16,520
thinking about this in a good
way.
765
00:41:16,520 --> 00:41:19,160
Dave Karpf: Yeah. So, again, it
it... It's only a partial
766
00:41:19,160 --> 00:41:22,360
strategy because what we need is
time. Yeah. What we need is to
767
00:41:22,360 --> 00:41:24,520
reset the power dynamics.
768
00:41:25,185 --> 00:41:29,505
I I I am not one of the people
who thinks, like, AI is gonna
769
00:41:29,665 --> 00:41:32,065
disappear tomorrow and, like,
there's nothing to it. Like,
770
00:41:32,065 --> 00:41:34,305
clearly, there's a bunch of
things that this set of
771
00:41:34,305 --> 00:41:39,510
technologies is useful for. And
I've got a line in the book, the
772
00:41:39,510 --> 00:41:43,750
trajectory of any new technology
bends toward money. Right? So we
773
00:41:43,750 --> 00:41:46,630
need
to think an awful lot about
what are the financial
774
00:41:46,630 --> 00:41:50,390
incentives that companies are
going to chase after.
775
00:41:50,470 --> 00:41:55,305
Right? Like, Sam Olmbeck in in
2021 wrote one of the early big
776
00:41:55,305 --> 00:41:57,945
think essays on this stuff where
he... It was called Moore's Law
777
00:41:57,945 --> 00:42:00,585
for Everything. And he was
saying how, like, within a few
778
00:42:00,585 --> 00:42:04,185
years, AI is going to replace
lawyers. It's gonna replace
779
00:42:04,185 --> 00:42:04,825
doctors.
780
00:42:04,825 --> 00:42:09,040
It's gonna replace it's gonna
replace higher education. And
781
00:42:09,040 --> 00:42:11,360
again, as a guy who studies the
history of the digital future,
782
00:42:11,600 --> 00:42:15,200
for thirty years, the big tech
figures have been promising that
783
00:42:15,200 --> 00:42:19,360
their technologies are going to
disrupt lawyers, doctors, and
784
00:42:19,360 --> 00:42:22,915
higher education, not because
those three areas are so
785
00:42:22,915 --> 00:42:26,515
disruptable, but because that's
where all the money is. They're
786
00:42:26,515 --> 00:42:28,835
they're always gonna move
towards where is the big money
787
00:42:28,835 --> 00:42:31,235
in these markets Interesting.
Yeah. If we leave it just to
788
00:42:31,235 --> 00:42:32,115
these companies.
789
00:42:32,515 --> 00:42:37,030
So my my short term solution,
it's a partial solution, is what
790
00:42:37,030 --> 00:42:40,870
I call the data center bank
shot. That right now, the AI
791
00:42:40,870 --> 00:42:43,750
future is getting shaped by a
small number of companies that
792
00:42:43,750 --> 00:42:46,870
are pretty much entirely
unchecked and also are cash
793
00:42:46,870 --> 00:42:50,230
furnaces. Right? Like, they are
spending an awful lot more money
794
00:42:50,230 --> 00:42:53,465
than they make. And their
ambition is, like, we're gonna
795
00:42:53,465 --> 00:42:57,065
keep moving faster and faster to
get the next infusion of cash.
796
00:42:57,065 --> 00:43:00,585
Mhmm. That's not going well for
society because there's no
797
00:43:00,585 --> 00:43:03,145
checks on them, and they get to
just sort of go wherever they
798
00:43:03,145 --> 00:43:07,000
want even when those ideas are
bad or unsustainable or going to
799
00:43:07,000 --> 00:43:10,680
wreak havoc. I think that the
only solution, at least for,
800
00:43:10,680 --> 00:43:13,000
like, citizens, right, like,
because we don't have a a
801
00:43:13,000 --> 00:43:16,200
government that's able to do
anything right now. I think what
802
00:43:16,200 --> 00:43:20,055
we need as citizens is to
pressure these data centers, try
803
00:43:20,055 --> 00:43:22,215
to slow them down, try to shut
them down, shut down their
804
00:43:22,215 --> 00:43:26,455
construction, because the data
centers are the one leverage
805
00:43:26,455 --> 00:43:30,615
point we have that can affect
the pace of the AI build out.
806
00:43:30,775 --> 00:43:33,610
And
if you slow down the AI
build out, then this huge
807
00:43:33,610 --> 00:43:36,010
speculative economy where these
company...
808
00:43:36,010 --> 00:43:38,890
Like, there are, you know, you
know, multi... Multibillion
809
00:43:38,890 --> 00:43:42,090
dollar companies right now that
don't have a product, but
810
00:43:42,090 --> 00:43:45,050
they've got AI engineers. That
only lasts for so long.
811
00:43:45,050 --> 00:43:48,135
Eventually, they actually need
to show a profit. They can only
812
00:43:48,135 --> 00:43:51,575
keep that wheel spinning so long
as they keep it feeling like the
813
00:43:51,575 --> 00:43:53,895
AI future is gonna arrive really
fast.
814
00:43:54,295 --> 00:43:56,455
I think you pressure the data
centers and try to slow them
815
00:43:56,455 --> 00:44:00,295
down in the hopes of popping the
financial bubble around AI.
816
00:44:00,695 --> 00:44:04,750
Because if you can pop that
financial bubble, hopefully, the
817
00:44:04,750 --> 00:44:08,030
the fallout isn't too extreme
for the economy. But, like, I
818
00:44:08,030 --> 00:44:10,990
think it's Paul Krugman has said
a few times that at this point,
819
00:44:10,990 --> 00:44:13,790
the the stock market is
basically like three Nvidias in
820
00:44:13,790 --> 00:44:17,725
a trench coat. Right? Like,
circuit of finance deals between
821
00:44:17,725 --> 00:44:21,725
all of these companies means
that if you can pop that finance
822
00:44:21,725 --> 00:44:26,205
bubble, that creates an awful
lot of havoc for these companies
823
00:44:26,685 --> 00:44:29,085
similar in form to the great
financial crisis.
824
00:44:29,085 --> 00:44:29,565
Hans Buetow: Right.
825
00:44:29,565 --> 00:44:31,730
Dave Karpf: And it's after the
great financial crisis that the
826
00:44:31,730 --> 00:44:35,650
banks finally have to accept
regulation that they didn't
827
00:44:35,650 --> 00:44:37,730
want. Right? Like, they then
need to do reporting that makes
828
00:44:37,730 --> 00:44:41,410
them uncomfortable because after
that, they no longer had the
829
00:44:41,410 --> 00:44:44,050
power to set their own... Like
like, set the agenda for how
830
00:44:44,050 --> 00:44:47,175
they're gonna get regulated. So
kinda step one is to fight
831
00:44:47,175 --> 00:44:48,695
against data centers.
832
00:44:49,095 --> 00:44:52,775
Step two is to hope that that
leads to a popping of the
833
00:44:52,775 --> 00:44:55,975
finance bubble. And, I wanna
remind people, when you're in a
834
00:44:55,975 --> 00:44:59,110
bubble environment, the best
thing you can do is pop it
835
00:44:59,110 --> 00:45:02,150
earlier rather than later. Like,
I'm not rooting for anybody to
836
00:45:02,150 --> 00:45:05,910
lose their investment dollars
here, but, like, this this
837
00:45:05,910 --> 00:45:10,550
bubble, like, either it leads to
the unstoppable AI future where
838
00:45:10,745 --> 00:45:12,905
everything is abundant and
everyone lives for forever
839
00:45:12,905 --> 00:45:16,665
because we get uploaded to the
cloud, or it's a finance bubble
840
00:45:16,665 --> 00:45:20,905
and it is going to pop. So,
like, it's either Valhalla or
841
00:45:20,905 --> 00:45:23,865
these things are nuts and they
need to pop sooner rather than
842
00:45:23,865 --> 00:45:27,520
later. I'm betting that we're
not about to become super
843
00:45:27,520 --> 00:45:29,840
intelligent AIs that all live
for forever in the cloud.
844
00:45:30,000 --> 00:45:32,960
So in that case, we should be
hoping that the bubble pops
845
00:45:32,960 --> 00:45:35,840
early. So you try to pop the
bubble by pressuring the data
846
00:45:35,840 --> 00:45:38,000
centers. That's the one... The
leverage point that we have.
847
00:45:38,605 --> 00:45:42,285
That then resets the political
dynamics, the power dynamics of
848
00:45:42,285 --> 00:45:43,005
the industry.
849
00:45:43,405 --> 00:45:45,965
And then you hope probably with
Europe leading the way since
850
00:45:45,965 --> 00:45:48,605
they actually have competent
regulators, you then hope that
851
00:45:48,605 --> 00:45:52,150
regulators come in and say,
well, okay. We're gonna need to
852
00:45:52,150 --> 00:45:54,710
set some rules and some
liabilities and some boundaries.
853
00:45:55,110 --> 00:45:58,310
And no, like Dario and Sam
Altman and Elon Musk, you don't
854
00:45:58,310 --> 00:46:00,710
get to pick and choose the
regulations of the regulators.
855
00:46:00,950 --> 00:46:03,510
And also, sort of keep in mind
that that weird information
856
00:46:03,510 --> 00:46:07,455
asymmetry where people with the
most technical knowledge about
857
00:46:07,455 --> 00:46:10,655
AI, the people who work at these
companies, have also been
858
00:46:10,655 --> 00:46:14,095
engaging in such intense
groupthink for so long now.
859
00:46:14,095 --> 00:46:17,695
Like, they're all part of this
one weird subculture that even
860
00:46:17,695 --> 00:46:19,230
though they're quite
knowledgeable and they're
861
00:46:19,230 --> 00:46:21,710
genuine in their concerns, that
doesn't mean that they're right.
862
00:46:21,710 --> 00:46:24,910
It it means that there needs to
be some check on their power and
863
00:46:24,910 --> 00:46:26,830
authority, and they're not gonna
create that themselves.
864
00:46:36,615 --> 00:46:40,215
Hans Buetow: Dave Karp, thank
you so much for this help. This
865
00:46:40,215 --> 00:46:45,015
is really genuinely comforting
to me, but also illuminating.
866
00:46:45,015 --> 00:46:46,760
Like, I feel like I have a much
better grasp.
867
00:46:47,080 --> 00:46:48,440
Dave Karpf: Great talking to
you. My pleasure.
868
00:46:48,520 --> 00:46:52,520
Hans Buetow: So where can folks
find you, and, what is your new
869
00:46:52,520 --> 00:46:56,360
book called one more time? I
want... I'm excited to read it.
870
00:46:56,360 --> 00:46:56,680
So I want
871
00:46:56,680 --> 00:46:59,475
Dave Karpf: everyone be excited
to read it. So I'm on blue sky,
872
00:46:59,475 --> 00:47:06,195
davecarp.besocial. It's
davekarpf.bsky.social. I have a
873
00:47:06,195 --> 00:47:08,515
weekly newsletter that's on
Beehive now. It used to be on
874
00:47:08,515 --> 00:47:09,715
Substack and moved to Beehive.
875
00:47:09,715 --> 00:47:15,580
That's davecarp.beehiiivv.com.
So you can subscribe there. And
876
00:47:15,580 --> 00:47:18,700
the book is called Vaporware
Incorporated, how Silicon Valley
877
00:47:18,700 --> 00:47:22,020
sells the future to control the
present. It's coming out January
878
00:47:22,020 --> 00:47:25,580
12 from Norton. You can preorder
it wherever books are sold.
879
00:47:25,580 --> 00:47:27,180
Hans Buetow: And we'll put links
to all that stuff in the show
880
00:47:27,180 --> 00:47:28,540
notes. Dave, thanks again.
881
00:47:28,540 --> 00:47:29,260
Dave Karpf: Thanks a lot.
882
00:47:49,210 --> 00:47:51,450
Mike Rugnetta: That is the show
we have for you this week. We're
883
00:47:51,450 --> 00:47:54,490
gonna be back here in the main
feed on or around Thursday,
884
00:47:54,570 --> 00:47:59,770
September 24. Never Post is a
listener supported podcast. Ads
885
00:48:00,005 --> 00:48:04,245
cover the operating expenses,
but it is our members that pay
886
00:48:04,245 --> 00:48:07,525
for the time and resources to
write, research, book guests,
887
00:48:07,525 --> 00:48:12,085
record, edit, score, and sound
design every episode. If you
888
00:48:12,085 --> 00:48:16,260
wanna become a member, I give
you my solemn oath that every
889
00:48:16,260 --> 00:48:20,660
dollar you send to us will go
towards PDFs and sound effects,
890
00:48:20,740 --> 00:48:25,540
and we will not, I repeat, we
will not usher in an apocalypse
891
00:48:25,540 --> 00:48:29,145
of any kind, no matter what
Georgia is saying in the
892
00:48:29,145 --> 00:48:29,865
newsletter.
893
00:48:29,865 --> 00:48:35,465
Neverpo.st. Become a member
today. Never Post's producers
894
00:48:35,465 --> 00:48:38,105
are Audrey Evans, Georgia
Hampton, and the mysterious
895
00:48:38,105 --> 00:48:41,120
doctor first name, last name.
Our senior producer is Hans
896
00:48:41,120 --> 00:48:44,560
Buto. Our executive producer is
Jason Oberholzer, and the show's
897
00:48:44,560 --> 00:48:46,960
host, that's me, is Mike
Cognetta.
898
00:48:48,080 --> 00:48:51,200
You have to begin somewhere. The
devil of your empty pocket moves
899
00:48:51,200 --> 00:48:56,405
as eschar go up the artery of a
hollow arm, ending on the lip of
900
00:48:56,405 --> 00:49:00,725
your dismay, it shows, in the
brillo morning of a shaving
901
00:49:00,725 --> 00:49:05,045
mirror. It's that morning
always, and it is that morning
902
00:49:05,045 --> 00:49:10,580
now, and you must fight, not
with fists, but with an eraser.
903
00:49:10,820 --> 00:49:14,020
The duelist awaits a ham
sandwich on the dock where your
904
00:49:14,020 --> 00:49:19,860
ship comes in. Excerpt of Lonely
Tylenol by Peter Gietze.
905
00:49:21,940 --> 00:49:24,482
Never Post is a production of
Charts and Leisure, and it's
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00:49:24,482 --> 00:49:26,562
distributed by Radiotopia.