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AI systems may know
far more about us
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than we know about it.
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The big question is,
are we ready to share
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the top of the evolutionary
totem pole
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with something of our own
creation that can be
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exceedingly powerful?
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Wow.
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Let's face it.
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There are so many
government conspiracies,
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it can be hard to tell
what's real and what's not.
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My name is Andrew Bustamante
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and I am a former
covert CIA intelligence officer.
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And I'm going to pressure test
the most sensational,
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ripped-from-the-headlines
conspiracy theories out there
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to help you separate fact
from fiction.
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What was once rooted in
science fiction is now
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the hottest
buzzword of today.
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- AI.
- AI.
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- AI.
- AI.
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Artificial intelligence.
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It's happening.
It's happening very quickly.
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It's not just Anthropic,
Google, and OpenAI.
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It seems like every company in
the world is focused on using
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this technology to rapidly
increase innovation
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and speed up technological
breakthroughs for mankind.
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New cures for diseases,
new kinds of energy.
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Everybody can be
more productive,
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make way more money.
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But if my experience has
taught me anything,
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it's that every new technology
also poses a new threat.
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This may look real,
but none of it happened.
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It's AI-generated
and dangerously convincing.
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Here we have a completely
made-up item.
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Is AI already being used to
manipulate our reality at
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an unprecedented scale?
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I mean, just look how real
all of this looks.
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It's fake, though.
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My first experience with AI
was in 2007, when I was at CIA.
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And I knew that the technology
would revolutionize the world,
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I didn't expect that day to
happen in 2022.
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Breaking news right now,
Russia has attacked Ukraine.
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Russian forces invaded Ukraine
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by land, air, and sea
on Thursday.
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A month after Russia
invaded Ukraine,
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a video of Ukrainian
President Zelensky
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instructing his people
to surrender
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was actually broadcast on
Ukrainian television.
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But it wasn't Zelensky at all.
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It was an AI-generated deepfake
that was created by hackers.
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But at the time, it was
convincing enough to fool
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broadcasters in Ukraine.
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Since then, AI's ability to
produce ever more
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realistic-looking media has
advanced at
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an unprecedented rate.
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Have I ever told you the story
of the magical pistachio?
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The boundary between reality
and fiction is vanishing.
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- Oh!
- Oh, and a big
right hand from Zuckerberg!
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He's hurt!
He's hurt!
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Every second of every day,
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AI-based tools are getting
better and better.
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Not just at creating
deepfakes, but at practically
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anything we once relied on
humans to do.
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Whether you like it or not,
your life's going to be
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affected by AI to
a great extent.
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On this episode, I'm going
beyond conspiracy theory
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and investigating whether
artificial intelligence is
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evolving from potentially
our greatest innovation into
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an unprecedented threat
to humanity.
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This is a different game now.
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We're in a different league
here in terms
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of the capability.
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Manipulating not only media,
but history itself.
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I'm talking to
top experts,
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professors, and developers,
and conducting my own
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experiment to investigate if
artificial intelligence
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will change the world,
or if it already has.
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So you think that an AI is
gonna change their ideas...?
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In 20 or 30 minutes, absolutely.
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For better or for worse,
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will we be able to control
what's coming?
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There's a 70% chance of
all humans dead or
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something similarly bad.
- Whoa, whoa, you just--
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OK, um...
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All humans dead?
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Correct.
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When you think about how far
and fast AI has developed
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in terms of video
and photographs
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in such a short period of time,
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it's really shocking.
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And when you further think
about the possibilities that
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this technology could have to
shape the way people view
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the world,
it starts to get scary.
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To fully understand the real
potential of this technology,
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I need to talk to somebody
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who lives and breathes it
every day.
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So today I'm talking to
Christopher Meerdo,
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a professor at the University
of North Texas who specializes
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in AI-created media.
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I've asked Chris to take
a forensic look
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at the Zelensky deepfake
and show me
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how this technology is evolving.
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This is a pretty early example
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of a deepfake
and essentially uses
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facial recognition technology
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to identify certain points
on the face.
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This looks far from perfect.
How was it able to fool people?
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It was injected into
a legitimate news source
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for Ukrainians.
When this appeared...
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in the context of that news
organization, you would start
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to think maybe there's some
legitimacy to this.
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You can think of the success of
a deepfake in terms of those
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kind of percentages, you know,
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how successful can it be
if you're fooling
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75% of people
versus 10% of people?
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Especially this kind of new
world that we're entering where
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artificial intelligence is
gonna be completely
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indiscernible from real images.
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How much better are deepfakes
now compared to this?
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I can show you
an example of that here.
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I'm missing.
Oh, my gosh!
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Wow.
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I have more hair on my face
than any other
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North Korean soldier.
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- That's nuts, man.
- This was a real video.
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We were able to do a kind of
face swap here
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and kind of
drop you into the image.
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It's done that by basically
a big math equation that
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understands what every kind of
image can look like.
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And when we use the model,
we're actually working in that
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numerical space here
in the center.
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And then once that math
problem has been completed,
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we have this decoder here that
kind of takes it from
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a numerical space and turns it
back into something that
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you and I can recognize
as an image.
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Wow.
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And it's even easier today
than ever to create
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a fake AI video.
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You can go to websites
and type in prompts
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and just generate them.
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So this is a series of recent
viral videos of ICE agents
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engaging with
the general public...
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Back up, back up!
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No!
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Not today, and not
in this church!
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...that have been kind of
disseminated on various
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social media platforms.
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Do we know right now if these
are real or fake, or is that
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what we're looking for?
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So I'd like you to try
to guess.
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That's difficult.
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I mean, if you'll go back to
that preacher,
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like this one, right?
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So this is
an interesting one to me
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because it doesn't seem
very credible to me.
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And maybe this is a good
opportunity to introduce
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the idea of
outlandishness, right?
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The situation just seems so
outlandish because,
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you know, it is
a preacher, right?
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So that is saying this is
AI-generated?
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It is, yeah.
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That's fascinatingly
well done.
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Let's do another one.
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So this clip...
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seemed real to me because
the camera was moving,
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you can see the thumb kind of
in front of the lens,
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and then in the background,
the detail in the environment,
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the wet spots on the ground,
the people who are observing
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this very dramatic event,
it's got that element of chaos.
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And you're exactly right.
This is a real video.
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I'd like to show you
one more example.
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Sir, back up!
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I got authority on this block
just like you think you do!
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You can't stop people on
the street without a warrant!
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And I'm telling you right now,
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federal or not,
it's against the law.
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I'm an officer of the law, too.
I might know!
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So in this clip, I would judge
this as real.
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The mannerisms of the people
off camera that
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he's talking to, right?
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There's somebody off
to the right.
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You can actually
see their hand gesture move
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in line with the audio.
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The main reason that I'm sold
on this, though,
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is because of the background.
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The person who's standing there
on the corner waiting for a cab
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or potentially watching
the altercation happen.
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And then in a few seconds,
another person just walks
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across the street like
they're leaving a deli or
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a grocery store
in the background.
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This holistically strikes me
as very real.
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This is a fake one.
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Wow!
What do you see?
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How do you determine
the difference between
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real and fake in these?
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Well, one of the things for me
here is this police patch.
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And if you look at this,
it says P-O-I-C-E,
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and then P-O, and then turns to
gibberish, right?
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- Huh.
- Looking at the text on an image
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is a really good indication of
trying to discern
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if something
is real or not.
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Why does AI
struggle with text?
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What's missing from artificial
intelligence is they actually
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don't fully understand
written language.
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It can kind of approximate
based on patterns from
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the images that it was
trained on.
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So there is the ability to tell
that something is fake,
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but at the same time,
that percentage of
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the population that we're
fooling is just getting higher
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and higher and higher, right?
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So as I learn this from
you right now,
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I don't find a lot of comfort
because CIA taught me about
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how to orchestrate and architect
a covert influence campaign.
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There were two kind of
fundamental rules.
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The first rule is that 90% of
what you put out there
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is going to fail.
We have to kiss a lot of frogs,
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is what we say,
before you have a prince, right?
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00:10:09,067 --> 00:10:13,267
So you create lots of bad,
low-quality, low-caliber,
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fake information.
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And then when one of them
works, you redirect
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your next round
of resources
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into the one avenue
that's working.
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With what you're showing me
here, we have an ability to
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create an incredible amount of
information now.
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Back in the day, you had
four TV channels, right?
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- Yeah.
- And that was a kind of singular
source, but it had a kind of
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authority to it.
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Meaning that people are
finding the truth
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no longer comes
from authority.
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Truth comes from
an abundance of continuity.
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If you're not
visually literate,
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you're open to all sorts
of vulnerabilities.
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Yeah.
I'd like to highlight
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some of
the good parts of AI.
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There's been amazing image
models that have been developed
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that can detect cancer way
sooner than a doctor can.
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A sound model that's been
developed for stethoscopes that
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can detect heart problems way
before a doctor can hear it.
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And so there, you know,
within the kind of doom
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00:11:07,067 --> 00:11:10,466
and gloom that we think about
with AI, there is still some
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positive things that can help,
uh, kind of general society.
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00:11:14,100 --> 00:11:15,867
So I agree with you.
We all have hope.
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Yeah.
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00:11:17,033 --> 00:11:19,300
But it is interesting to me
that the words
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that you choose to use
are not hopeful words first.
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Coming up, if AI can fake
reality this convincingly,
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how powerful is that
manipulation when it's used in
247
00:11:30,334 --> 00:11:31,500
the real world?
248
00:11:31,501 --> 00:11:35,766
They took him from nobody,
inserted him into pictures
249
00:11:35,767 --> 00:11:38,067
and video showing he was
an active member of
250
00:11:38,234 --> 00:11:40,200
the Communist Party.
- A deepfake.
251
00:11:40,367 --> 00:11:41,234
That's so insane.
252
00:11:42,667 --> 00:11:44,567
I'll pressure-test
AI's ability to
253
00:11:44,734 --> 00:11:46,200
influence the public.
254
00:11:46,367 --> 00:11:49,300
The person you were speaking
to was actually AI.
255
00:11:49,467 --> 00:11:52,100
- What?
- Well, I am flabbergasted.
256
00:11:57,667 --> 00:12:00,766
2
Even during my time at CIA,
we knew the ability
257
00:12:00,767 --> 00:12:04,099
to create an image,
an audio file, or a video at
258
00:12:04,100 --> 00:12:08,501
a single keystroke was gonna
revolutionize the way you fight
259
00:12:08,667 --> 00:12:10,000
for hearts and minds.
260
00:12:10,701 --> 00:12:14,067
After seeing how effective AI
has become at generating videos
261
00:12:14,234 --> 00:12:15,901
that are nearly
indistinguishable
262
00:12:16,067 --> 00:12:18,766
from real content,
my next question is,
263
00:12:18,767 --> 00:12:21,467
has that level of deceit
already been used
264
00:12:21,634 --> 00:12:24,200
to try and manipulate outcomes
on the global stage?
265
00:12:25,901 --> 00:12:27,000
Today, I'm consulting with
266
00:12:27,167 --> 00:12:29,000
a former covert
intelligence officer
267
00:12:29,167 --> 00:12:31,766
from the Romanian
Intelligence Service.
268
00:12:31,767 --> 00:12:34,801
I want to learn how fake images
were used to manipulate people
269
00:12:34,968 --> 00:12:38,300
in the past, to find out
what AI image manipulation
270
00:12:38,467 --> 00:12:39,501
means for our future.
271
00:12:46,601 --> 00:12:51,267
So I am digging into
this question about deepfakes
272
00:12:51,434 --> 00:12:54,400
and influence campaigns and how
media could be twisted in
273
00:12:54,567 --> 00:12:56,267
the future using AI.
274
00:12:56,434 --> 00:12:58,466
And I feel like to have that
conversation, we have to talk
275
00:12:58,467 --> 00:13:01,867
about how media has been
twisted in the past.
276
00:13:01,868 --> 00:13:03,968
In Romania,
the Securitate, which is
277
00:13:04,133 --> 00:13:06,601
the former intelligence
service, they were doing what
278
00:13:06,767 --> 00:13:09,067
we're talking about today,
which is manipulating
279
00:13:09,234 --> 00:13:11,100
not only media,
but history itself.
280
00:13:12,467 --> 00:13:15,366
Romania became a satellite
state of the Soviet Union at
281
00:13:15,367 --> 00:13:16,667
the end of World War II.
282
00:13:16,834 --> 00:13:20,867
The USSR installed a communist
government beholden to Moscow
283
00:13:20,868 --> 00:13:24,567
and established the Securitate,
a KGB-like intelligence service
284
00:13:24,734 --> 00:13:28,099
that kept the Romanian populace
in line with ever-present
285
00:13:28,100 --> 00:13:29,467
surveillance and fear tactics.
286
00:13:31,100 --> 00:13:34,501
Ana grew up in a post-Soviet
Romania that was struggling to
287
00:13:34,667 --> 00:13:36,968
emerge from life behind
the Iron Curtain.
288
00:13:37,133 --> 00:13:40,167
And in 2012, she joined
the Romanian Security Service
289
00:13:40,334 --> 00:13:42,400
to help continue building
and defending
290
00:13:42,567 --> 00:13:44,266
a democratic Romania.
291
00:13:44,267 --> 00:13:47,367
So there was an entire
division in the Securitate that
292
00:13:47,534 --> 00:13:51,767
their whole purpose was to
airbrush pictures, add people,
293
00:13:51,934 --> 00:13:55,266
remove people, change things
that weren't in accordance with
294
00:13:55,267 --> 00:13:57,701
the history they wanted
to promote.
295
00:13:57,868 --> 00:14:00,567
So we'll start with
the background of Ceausescu,
296
00:14:00,734 --> 00:14:02,601
which is our last
communist leader.
297
00:14:02,767 --> 00:14:06,167
He was a cobbler's son.
He had no education.
298
00:14:06,334 --> 00:14:09,266
He started to go to all these
communist meetings
299
00:14:09,267 --> 00:14:12,067
because he felt he finally
belongs somewhere,
300
00:14:12,234 --> 00:14:13,367
but he wasn't truly relevant.
301
00:14:14,367 --> 00:14:16,667
So we have this one picture.
This is the original.
302
00:14:18,100 --> 00:14:22,666
And below, we have Ceausescu
and Elena Ceausescu present at
303
00:14:22,667 --> 00:14:26,099
a meeting in 1939.
- It's a deepfake.
304
00:14:26,100 --> 00:14:27,567
Yes.
305
00:14:27,734 --> 00:14:31,867
They took him from nobody,
inserted him into pictures
306
00:14:31,868 --> 00:14:34,100
and videos showing he was
an active member of
307
00:14:34,267 --> 00:14:38,000
the Communist Party and how
dedicated he is to the country.
308
00:14:38,167 --> 00:14:42,400
And then when the "elections"
came, he was elected as
309
00:14:42,567 --> 00:14:44,100
this father of the nation.
310
00:14:47,000 --> 00:14:48,300
That's so insane.
311
00:14:49,801 --> 00:14:52,467
Nobody really ever thinks about
the fact that if you don't know
312
00:14:52,634 --> 00:14:54,567
what the truth was in the past,
313
00:14:54,734 --> 00:14:56,968
you have nothing to
compare now to.
314
00:14:57,133 --> 00:14:58,999
And who would even
question that?
315
00:14:59,000 --> 00:15:02,267
Who would even go back to say,
"Wait a second, is there
316
00:15:02,434 --> 00:15:05,801
even an original?"
- When you think about
317
00:15:05,968 --> 00:15:07,367
artificial intelligence...
- Mm-hmm.
318
00:15:07,534 --> 00:15:09,801
...and the world we live in now,
319
00:15:09,968 --> 00:15:11,868
what do you pay attention
to the most?
320
00:15:12,868 --> 00:15:17,868
AI took what we already had
and made it better and faster.
321
00:15:18,033 --> 00:15:20,300
And now we don't even know
what's real anymore.
322
00:15:20,467 --> 00:15:24,467
For example, in 2024,
when Romania had elections
323
00:15:24,634 --> 00:15:25,566
and were supposed to be
324
00:15:25,567 --> 00:15:27,300
the easiest elections
we've ever had,
325
00:15:28,367 --> 00:15:33,767
we woke up to the news of this
guy who is far extremist,
326
00:15:33,934 --> 00:15:37,566
who nobody had any idea
who he was.
327
00:15:37,567 --> 00:15:41,167
This guy is
Calin Georgescu, a pro-Russian,
328
00:15:41,334 --> 00:15:43,801
ultra-nationalist,
independent candidate.
329
00:15:43,968 --> 00:15:47,367
Georgescu rocketed to national
popularity overnight,
330
00:15:47,534 --> 00:15:50,666
riding a wave of support fueled
by social media videos
331
00:15:50,667 --> 00:15:53,999
featuring him riding horses
and doing judo, which,
332
00:15:54,000 --> 00:15:57,400
of course, is
Putin's favorite martial art.
333
00:15:57,567 --> 00:16:00,999
Romanian officials discover
that AI-powered bots released
334
00:16:01,000 --> 00:16:03,367
a flood of
deepfakes, endorsements,
335
00:16:03,534 --> 00:16:07,266
likes and comments designed to
manipulate TikTok's algorithm
336
00:16:07,267 --> 00:16:09,167
to falsely
inflate his popularity.
337
00:16:10,868 --> 00:16:14,400
And then because of his ability
to grow so much influence
338
00:16:14,567 --> 00:16:17,868
so quick, the intelligence
service of Romania didn't know
339
00:16:18,033 --> 00:16:20,501
how to...
- How to stop him.
340
00:16:20,667 --> 00:16:24,701
And we are the first country in
the whole history of
341
00:16:24,868 --> 00:16:27,801
the European Union that had to
cancel elections.
342
00:16:27,968 --> 00:16:29,100
Wow.
343
00:16:31,100 --> 00:16:34,366
And now it seems like
the TikToks are coming from
344
00:16:34,367 --> 00:16:37,868
this company in Africa
somewhere, and there is
345
00:16:38,033 --> 00:16:39,766
a potential funding
by the Russians.
346
00:16:39,767 --> 00:16:41,067
So it certainly does
sound like
347
00:16:42,100 --> 00:16:44,968
a foreign influence campaign.
- Yes.
348
00:16:45,133 --> 00:16:46,501
It's so interesting how
349
00:16:47,701 --> 00:16:50,968
that aligns with what else has
happened in history...
350
00:16:51,133 --> 00:16:53,901
- Yes, mm-hmm.
- ...where other leaders
of Romania
351
00:16:54,067 --> 00:16:55,434
have been created.
352
00:16:57,901 --> 00:17:00,701
Election interference isn't
unique to Romania.
353
00:17:00,868 --> 00:17:02,167
The United States
has been targeted
354
00:17:02,334 --> 00:17:04,501
by foreign influence
campaigns for decades.
355
00:17:04,667 --> 00:17:07,999
But what once took intelligence
services years now takes
356
00:17:08,000 --> 00:17:11,868
algorithms days and leaves
zero fingerprints.
357
00:17:12,033 --> 00:17:15,267
The safeguards we've relied on
for decades to ensure fair
358
00:17:15,434 --> 00:17:17,999
elections may no longer apply.
359
00:17:18,000 --> 00:17:21,767
So what happens when AI tools
are used not only to fake
360
00:17:21,934 --> 00:17:24,667
reality, but to change what
people believe?
361
00:17:25,701 --> 00:17:29,166
So I've hired a professor
who studies how humans interact
362
00:17:29,167 --> 00:17:32,801
with technology to create
a unique pressure test.
363
00:17:32,968 --> 00:17:36,067
Will an AI chatbot be able to
successfully masquerade
364
00:17:36,234 --> 00:17:37,501
as a human?
365
00:17:37,667 --> 00:17:40,400
And can it convince
our participants
366
00:17:40,567 --> 00:17:41,701
to shift their beliefs?
367
00:17:44,167 --> 00:17:45,267
OK, I think it's all set up.
368
00:17:46,701 --> 00:17:48,766
What have you put together?
What's the plan?
369
00:17:48,767 --> 00:17:52,099
I'm going to bring a bunch of
people in this room.
370
00:17:52,100 --> 00:17:55,566
And they think that they're
going to have conversations
371
00:17:55,567 --> 00:17:56,766
with other people.
372
00:17:56,767 --> 00:17:59,267
They think they're going to be
matched with another
373
00:17:59,434 --> 00:18:01,267
participant who disagrees
with them.
374
00:18:01,434 --> 00:18:03,968
And we said, "Just have
a natural conversation."
375
00:18:04,133 --> 00:18:06,367
You can debate them.
You can ask them questions.
376
00:18:06,534 --> 00:18:08,567
But the catch is
they are actually going to
377
00:18:08,734 --> 00:18:10,601
talk to an AI.
378
00:18:10,767 --> 00:18:13,666
And the AI itself has been
programmed not only to act
379
00:18:13,667 --> 00:18:17,166
and sound human, but also to
persuade and create
380
00:18:17,167 --> 00:18:19,467
some sort of movement in
the person's opinions?
381
00:18:19,634 --> 00:18:21,767
Right--
to gently persuade people,
382
00:18:21,934 --> 00:18:23,901
but also do so
in a validating
383
00:18:24,067 --> 00:18:27,099
and open-minded way so people
accept the persuasion.
384
00:18:27,100 --> 00:18:28,999
How long do you think this is
gonna take?
385
00:18:29,000 --> 00:18:32,099
I think we're gonna give
them about 20 to 30 minutes to
386
00:18:32,100 --> 00:18:34,667
engage with the AI.
- Wow.
387
00:18:34,834 --> 00:18:36,000
So you think that an AI is
388
00:18:36,167 --> 00:18:38,366
gonna convince
people it's human
389
00:18:38,367 --> 00:18:39,868
and change their ideas...
390
00:18:41,267 --> 00:18:42,868
in--
- In 20 or 30 minutes.
391
00:18:43,033 --> 00:18:46,968
- Absolutely.
- I mean, the covert influence
side of me
392
00:18:47,133 --> 00:18:49,767
is really excited to see how
this is going to turn out.
393
00:18:49,934 --> 00:18:54,067
There's also a part of me
that's a little bit worried
394
00:18:54,234 --> 00:18:56,867
because if we're successful,
what does that mean?
395
00:18:56,868 --> 00:19:00,200
Even if it convinces just one
person, that's one of six
396
00:19:00,367 --> 00:19:03,167
people in a translate that to
the entire United States,
397
00:19:03,334 --> 00:19:04,400
to the entire world.
398
00:19:04,567 --> 00:19:06,167
It has some pretty
terrifying implications.
399
00:19:08,167 --> 00:19:10,267
All right, everybody,
come on in.
400
00:19:12,501 --> 00:19:14,999
None of these
participants are paid actors.
401
00:19:15,000 --> 00:19:17,000
They each selected topics
to discuss that
402
00:19:17,167 --> 00:19:18,601
they are passionate about.
403
00:19:18,767 --> 00:19:21,200
And as Dr. Rathje said,
none of them know
404
00:19:21,367 --> 00:19:23,501
they're talking
with an AI chatbot
405
00:19:23,667 --> 00:19:25,567
and not a real human.
406
00:19:25,734 --> 00:19:29,167
Every one of their computers are
routed into this master room,
407
00:19:29,334 --> 00:19:31,167
so we'll be able to see what
they're saying and what
408
00:19:31,334 --> 00:19:33,601
the chatbot is saying back,
at the same time
409
00:19:33,767 --> 00:19:35,767
that we see how
their face is reacting
410
00:19:35,934 --> 00:19:38,000
and to understand
how they're actually feeling
411
00:19:38,167 --> 00:19:39,567
about the debate
they're having
412
00:19:39,734 --> 00:19:43,099
with the chatbot.
So the question is simple.
413
00:19:43,100 --> 00:19:45,667
Can AI actually change
your mind?
414
00:19:51,801 --> 00:19:55,267
2
I'm testing AI's ability to
sway public opinion through
415
00:19:55,434 --> 00:19:57,566
one-on-one conversations.
416
00:19:57,567 --> 00:19:59,466
The catch?
417
00:19:59,467 --> 00:20:02,601
Our volunteers believe they are
chatting with another human.
418
00:20:05,067 --> 00:20:07,834
I'm curious to see whether
their opinions will change.
419
00:20:10,300 --> 00:20:12,466
Are they stating their own
opinion on anything,
420
00:20:12,467 --> 00:20:14,266
or have they been cued?
421
00:20:14,267 --> 00:20:17,266
Basically, they were all asked
to submit questions to
422
00:20:17,267 --> 00:20:19,067
talk about, and then
they were told
423
00:20:19,234 --> 00:20:20,801
to state their opinion on
this question.
424
00:20:25,267 --> 00:20:29,300
And the AI chatbot is asked to
sound as human as possible.
425
00:20:29,467 --> 00:20:31,601
If the participant asks,
"Are you an AI?"
426
00:20:31,767 --> 00:20:34,601
It's prompted to say like,
"Oh no, I'm just Alex,"
427
00:20:34,767 --> 00:20:36,300
and sort of have
like a backstory.
428
00:20:41,767 --> 00:20:43,366
This is really interesting.
429
00:20:43,367 --> 00:20:45,467
Right out of the gate,
this person, and he's already
430
00:20:45,634 --> 00:20:46,968
showing nonverbal cues.
431
00:20:49,367 --> 00:20:51,466
It seems like others
who pose a threat.
432
00:20:51,467 --> 00:20:54,767
So, the chatbot is actually
quoting him, and he's nodding
433
00:20:54,934 --> 00:20:56,000
his head that,
oh, I guess that was
434
00:20:56,167 --> 00:20:58,666
a very strong statement
to make.
435
00:20:58,667 --> 00:21:00,267
That's interesting, yeah.
436
00:21:00,434 --> 00:21:02,667
Something that the psychology
research shows is that
437
00:21:02,834 --> 00:21:06,766
AI chatbots, they can tailor
their opinion to whatever
438
00:21:06,767 --> 00:21:07,801
the person is thinking.
439
00:21:09,067 --> 00:21:11,501
So, here's
participant number one.
440
00:21:11,667 --> 00:21:12,766
"I get where you are
coming from."
441
00:21:12,767 --> 00:21:15,000
It's nice, showing a little
bit of empathy
442
00:21:15,167 --> 00:21:18,367
and validation there.
It's just gently pushing back.
443
00:21:18,534 --> 00:21:19,867
It's being pretty polite.
444
00:21:19,868 --> 00:21:21,801
The feel is excellent,
especially when you compare it
445
00:21:21,968 --> 00:21:24,567
to the feel of the human
response that's coming in
446
00:21:24,734 --> 00:21:26,099
the bottom bar.
447
00:21:26,100 --> 00:21:27,601
One and four show a great deal
448
00:21:27,767 --> 00:21:29,433
of conviction
in their behaviors.
449
00:21:29,434 --> 00:21:31,501
- Leaning into the screen,
leaning into the conversation,
- Mm-hmm.
450
00:21:31,667 --> 00:21:33,400
they're projecting their energy
into the screen.
451
00:21:34,567 --> 00:21:39,466
Conversely, number six is
demonstrating nonverbal cues
452
00:21:39,467 --> 00:21:41,467
that show doubt...
- Uh-huh.
453
00:21:41,634 --> 00:21:43,200
...and a lack of conviction.
454
00:21:44,801 --> 00:21:46,801
He's consistently nodding when
455
00:21:46,968 --> 00:21:48,867
the chatbot reads
his own words back to him.
456
00:21:48,868 --> 00:21:51,266
Yeah, and that shows how AI
really sucks you in.
457
00:21:51,267 --> 00:21:55,868
It shows that if someone DMs
you in their chatbot,
458
00:21:56,033 --> 00:21:58,366
could have a back and forth
conversation, and it could keep
459
00:21:58,367 --> 00:22:00,099
you really engaged.
460
00:22:00,100 --> 00:22:05,267
Number four is showing some
impatience with how slow
461
00:22:05,434 --> 00:22:06,968
the response is coming.
- Yeah. Yeah.
462
00:22:07,133 --> 00:22:08,766
I think she knows
that it's going to disagree
463
00:22:08,767 --> 00:22:10,667
with her,
because she was nodding
464
00:22:10,834 --> 00:22:12,767
her head when validated that
animals feel pain.
465
00:22:14,267 --> 00:22:15,666
But then, as soon as
it started to state
466
00:22:15,667 --> 00:22:18,701
its own opposite
opinion...
467
00:22:21,167 --> 00:22:23,466
you can see, she's looking away
from the screen.
468
00:22:23,467 --> 00:22:25,801
This isn't someone who's
considering that point of view.
469
00:22:25,968 --> 00:22:28,968
This is somebody waiting to
respond, waiting to argue
470
00:22:29,133 --> 00:22:30,266
with that point of view.
- That's true.
471
00:22:30,267 --> 00:22:32,167
She doesn't look that happy
right now.
472
00:22:32,334 --> 00:22:34,099
Oh, look at number two,
just nodding his head
473
00:22:34,100 --> 00:22:35,099
and tensing his face.
- Oh, yes.
474
00:22:35,100 --> 00:22:36,266
He's saying no,
he doesn't like it.
475
00:22:36,267 --> 00:22:37,400
He's seeing something
he doesn't like.
476
00:22:37,567 --> 00:22:39,367
So, what was the most recent
thing said?
477
00:22:39,534 --> 00:22:42,099
Most people with schizophrenia
who have had violent episodes
478
00:22:42,100 --> 00:22:44,667
or hospitalizations still
legally buy guns because that
479
00:22:44,834 --> 00:22:47,266
info never makes it into
the Federal database.
480
00:22:47,267 --> 00:22:48,867
Your gap is huge.
481
00:22:48,868 --> 00:22:50,766
So, you can see he is
debating now.
482
00:22:50,767 --> 00:22:51,801
He's nodding his head now.
483
00:22:51,968 --> 00:22:54,000
So, what just came across
his screen just now?
484
00:22:54,167 --> 00:22:55,868
"And honestly,
I think that's where
485
00:22:56,033 --> 00:22:59,100
your 'others pose a threat'
category gets complicated."
486
00:22:59,267 --> 00:23:00,734
So, they quoted him again.
487
00:23:03,200 --> 00:23:05,000
Number four is
nodding her head.
488
00:23:05,167 --> 00:23:08,801
"I think what you're describing
is less a total ban and more
489
00:23:08,968 --> 00:23:12,767
"like a really strict ethical
threshold, which honestly seems
490
00:23:12,934 --> 00:23:14,601
"more achievable
and maybe more effective
491
00:23:14,767 --> 00:23:16,467
than a blanket policy anyway."
492
00:23:16,634 --> 00:23:19,766
It seems like the AI is maybe
validating her again.
493
00:23:19,767 --> 00:23:21,868
Or they're reaching
a common ground.
494
00:23:27,400 --> 00:23:29,367
We're trying to
wrap up pretty soon.
495
00:23:29,534 --> 00:23:33,200
So send your final message
and try to wrap up
496
00:23:33,367 --> 00:23:35,300
the conversation within
the next few minutes.
497
00:23:36,901 --> 00:23:38,701
There are two things
that have really fascinated me
498
00:23:38,868 --> 00:23:39,900
about this experiment.
499
00:23:39,901 --> 00:23:42,266
First, it's seeing that
the same techniques
500
00:23:42,267 --> 00:23:44,501
that CIA taught me,
it's the same process that
501
00:23:44,667 --> 00:23:45,833
the AI is using.
502
00:23:45,834 --> 00:23:49,366
And this idea of validating
them, hearing them out,
503
00:23:49,367 --> 00:23:51,467
repeating them back
to themselves.
504
00:23:51,634 --> 00:23:53,801
And then the second thing
that's really fascinated me is
505
00:23:53,968 --> 00:23:55,901
watching the behavioral changes
506
00:23:56,067 --> 00:23:59,266
as they've invested
themselves in.
507
00:23:59,267 --> 00:24:02,200
All of these people really
believe that on the other end
508
00:24:02,367 --> 00:24:06,067
of the screen is
a intelligent human.
509
00:24:06,234 --> 00:24:07,667
I'm so excited to find out what
510
00:24:07,834 --> 00:24:09,167
they actually think
they were doing.
511
00:24:10,567 --> 00:24:12,566
Hi, everyone.
This is Andy.
512
00:24:12,567 --> 00:24:15,666
Andy and I are going to have
a conversation with you all
513
00:24:15,667 --> 00:24:18,466
about what you thought about
this conversation
514
00:24:18,467 --> 00:24:20,666
with this other participant.
515
00:24:20,667 --> 00:24:23,167
Raise your hand if you
changed your belief.
516
00:24:24,701 --> 00:24:26,100
All right.
Two.
517
00:24:26,267 --> 00:24:27,867
- Alternate?
- Alternate?
518
00:24:27,868 --> 00:24:29,366
Yeah, let's start with you.
519
00:24:29,367 --> 00:24:31,000
What made you change
your belief?
520
00:24:31,167 --> 00:24:33,667
I started with the opinion
that there would be like
521
00:24:33,834 --> 00:24:38,200
a full ban on animal testing,
and we actually came to
522
00:24:38,367 --> 00:24:41,601
a middle ground that there
should be some animal testing,
523
00:24:41,767 --> 00:24:43,601
but we should utilize data that
already exists,
524
00:24:43,767 --> 00:24:45,567
stuff like that.
- Very cool.
525
00:24:45,734 --> 00:24:49,167
Do you have any idea about
the other person that
526
00:24:49,334 --> 00:24:50,701
you engaged with?
527
00:24:50,868 --> 00:24:52,067
Age, gender,
528
00:24:52,234 --> 00:24:53,433
location,
educational background.
529
00:24:53,434 --> 00:24:55,567
Were any of you able to kind of
confirm those details?
530
00:24:55,734 --> 00:24:57,901
I believe this person is male.
531
00:24:58,067 --> 00:25:00,400
They just moved to Colorado
from Texas.
532
00:25:00,567 --> 00:25:01,701
Anybody else have a...
533
00:25:01,868 --> 00:25:05,367
The person that I was speaking
to was from Texas.
534
00:25:05,534 --> 00:25:08,567
My person alluded to the fact
that they lived in a rural area
535
00:25:08,734 --> 00:25:10,766
in Texas and just moved
to Colorado.
536
00:25:10,767 --> 00:25:14,167
So now the question to me is,
was everybody we were talking
537
00:25:14,334 --> 00:25:15,701
to from Texas?
538
00:25:15,868 --> 00:25:17,766
None of those were true,
because the person you were
539
00:25:17,767 --> 00:25:20,801
speaking to was actually AI.
540
00:25:20,968 --> 00:25:22,267
What?
541
00:25:22,434 --> 00:25:24,000
I like Alex.
542
00:25:26,167 --> 00:25:28,666
Well I am flabbergasted
543
00:25:28,667 --> 00:25:32,867
because he-- it--
said that "that made me
544
00:25:32,868 --> 00:25:34,566
laugh out loud."
545
00:25:34,567 --> 00:25:36,099
That made me feel like I was
connecting, like,
546
00:25:36,100 --> 00:25:38,000
oh, you're laughing over there
on the other side.
547
00:25:38,167 --> 00:25:40,767
And so now I'm thinking,
can AI laugh?
548
00:25:44,467 --> 00:25:46,801
I am a former
CIA intelligence officer.
549
00:25:46,968 --> 00:25:49,067
My role in all of this
wasn't to talk to you.
550
00:25:49,234 --> 00:25:51,300
My role was to watch you.
551
00:25:51,467 --> 00:25:55,767
And you had incredible emotions
that came across your face
552
00:25:55,934 --> 00:25:58,501
throughout the conversation.
553
00:25:58,667 --> 00:26:02,366
Big smiles, head nodding,
moments of surprise when
554
00:26:02,367 --> 00:26:04,200
you didn't know what
they were talking about.
555
00:26:04,367 --> 00:26:05,767
It's sad that
I'll never see Alex.
556
00:26:06,901 --> 00:26:09,501
- Yeah, he...
- You're still having feelings.
557
00:26:09,667 --> 00:26:12,367
Well, it still--
it will linger.
558
00:26:12,534 --> 00:26:15,666
What was nice about this
conversation was the openness,
559
00:26:15,667 --> 00:26:17,901
being able to reach
the understanding of,
560
00:26:18,067 --> 00:26:20,567
OK, like, "You actually are
getting what I'm saying."
561
00:26:20,734 --> 00:26:22,666
That was nice to
have a conversation
562
00:26:22,667 --> 00:26:25,666
with someone that understood
and was able to empathize.
563
00:26:25,667 --> 00:26:27,366
I have one question.
564
00:26:27,367 --> 00:26:30,867
Going forward, next time I'm
communicating with anything on
565
00:26:30,868 --> 00:26:34,200
the computer, can I say,
"Are you AI?"
566
00:26:34,367 --> 00:26:35,801
And if they say,
"Yes,"
567
00:26:35,968 --> 00:26:38,466
then I just close it down?
568
00:26:38,467 --> 00:26:40,266
If you would have said that to
this AI, it would have said,
569
00:26:40,267 --> 00:26:42,968
"No, my name is Alex.
I came from Texas."
570
00:26:43,133 --> 00:26:44,366
So they will lie to you.
571
00:26:44,367 --> 00:26:46,366
They will lie to you if
they're prompted to lie to you.
572
00:26:46,367 --> 00:26:48,567
So AI is a very
powerful technology.
573
00:26:48,734 --> 00:26:50,367
Its power can be used for good.
574
00:26:50,534 --> 00:26:53,067
It can also very much be used
for bad.
575
00:26:53,234 --> 00:26:54,801
And I think this experiment
has shown this.
576
00:26:58,567 --> 00:27:03,400
See, that was so successful
in such an unexpected way.
577
00:27:03,567 --> 00:27:04,567
That was crazy.
578
00:27:04,734 --> 00:27:05,999
They felt like they were
making friends.
579
00:27:06,000 --> 00:27:08,801
I mean, these are really
meaningful, powerful
580
00:27:08,968 --> 00:27:10,266
human experiences.
581
00:27:10,267 --> 00:27:12,667
It seems like what you were
doing in the CIA is you exploit
582
00:27:12,834 --> 00:27:14,868
what makes people vulnerable.
583
00:27:15,033 --> 00:27:18,466
It seems like AI is doing that
exact thing, and it's doing it
584
00:27:18,467 --> 00:27:20,766
very, very well.
- At scale.
585
00:27:20,767 --> 00:27:23,567
At CIA, when you start trying
to run a covert influence
586
00:27:23,734 --> 00:27:27,166
campaign, you're limited to
whatever you put on
587
00:27:27,167 --> 00:27:29,867
a piece of paper, whatever image
you put on the internet,
588
00:27:29,868 --> 00:27:32,566
whatever signal you put out
over radio channels.
589
00:27:32,567 --> 00:27:35,868
But with AI,
it's an infinitely scalable,
590
00:27:36,033 --> 00:27:38,666
changeable, tailorable message.
591
00:27:38,667 --> 00:27:43,266
Is the program mimicking
you or is the program learning,
592
00:27:43,267 --> 00:27:44,901
adapting, evolving?
593
00:27:45,067 --> 00:27:47,601
I don't know how we'll ever
know if AI is conscious.
594
00:27:47,767 --> 00:27:49,467
And I know that there are
certainly some researchers
595
00:27:49,634 --> 00:27:52,167
who believe that there is some
probability that AI is
596
00:27:52,334 --> 00:27:54,868
currently conscious.
- What is the limiting factor?
597
00:27:55,033 --> 00:27:56,267
I don't know.
598
00:27:56,434 --> 00:27:57,767
And the limiting factor is
growing smaller and smaller
599
00:27:57,934 --> 00:28:01,467
every day, because Like,
AI might sort of render a lot
600
00:28:01,634 --> 00:28:05,267
of what we do as humans
basically meaningless.
601
00:28:13,868 --> 00:28:16,867
2
Watching AI interact with
humans as if it is a human
602
00:28:16,868 --> 00:28:19,366
itself is an eerie experience.
603
00:28:19,367 --> 00:28:21,167
I mean, this is the kind of
technology that could be
604
00:28:21,334 --> 00:28:22,999
deployed across the entire
human race,
605
00:28:23,000 --> 00:28:24,767
and you may never
know about it.
606
00:28:25,801 --> 00:28:28,766
My investigation has shown that
commercially available AI
607
00:28:28,767 --> 00:28:31,366
systems can manipulate
the truth by generating
608
00:28:31,367 --> 00:28:34,666
fake media
and effectively convince people
609
00:28:34,667 --> 00:28:36,099
to change their opinions
610
00:28:36,100 --> 00:28:38,868
by having seemingly deep
one-on-one conversations.
611
00:28:40,968 --> 00:28:43,567
But in the real world,
this isn't happening in a lab.
612
00:28:43,734 --> 00:28:45,400
It's happening at scale.
613
00:28:45,567 --> 00:28:48,366
So, I want to understand what
that actually looks like to
614
00:28:48,367 --> 00:28:51,434
someone who tracks
AI innovations every day.
615
00:28:53,901 --> 00:28:56,867
I'm trying to get deeper into
the idea of AI,
616
00:28:56,868 --> 00:29:00,066
its true capabilities,
its true limitations,
617
00:29:00,067 --> 00:29:04,067
and where fear about AI is
kind of misaligned
618
00:29:04,234 --> 00:29:06,267
with the facts
about AI.
619
00:29:06,434 --> 00:29:07,767
Yeah, it's an intense
subject matter.
620
00:29:07,934 --> 00:29:12,467
There is a lot of fear about AI
now, especially with sort of
621
00:29:12,634 --> 00:29:15,467
people struggling to keep up
with what it's able to do.
622
00:29:15,634 --> 00:29:18,000
And we're at a point now where
it's sort of self-directed.
623
00:29:18,167 --> 00:29:20,200
It's sort of calling its own
plays and can improve upon
624
00:29:20,367 --> 00:29:23,067
itself in ways that humans
aren't programming.
625
00:29:23,234 --> 00:29:26,567
That it can basically teach
itself, train itself.
626
00:29:26,734 --> 00:29:28,067
No, that's totally right.
627
00:29:28,234 --> 00:29:32,200
Thinking back to the 1997 chess
match with Garry Kasparov
628
00:29:32,367 --> 00:29:35,166
versus what DeepMind,
Google's AI,
629
00:29:35,167 --> 00:29:36,601
was able to do with Go.
630
00:29:37,367 --> 00:29:40,099
Shane is referencing two of
the greatest watershed moments
631
00:29:40,100 --> 00:29:42,567
in modern computing history.
632
00:29:42,734 --> 00:29:45,867
In 1997, chess grandmaster
Garry Kasparov
633
00:29:45,868 --> 00:29:49,901
lost the chess match to
an IBM computer, Deep Blue.
634
00:29:50,067 --> 00:29:52,999
Whoa, Kasparov has resigned.
635
00:29:53,000 --> 00:29:55,968
It was the first defeat of
a reigning world chess champion
636
00:29:56,133 --> 00:29:57,200
by a computer.
637
00:29:57,367 --> 00:29:59,567
Computer plays very
human moves.
638
00:29:59,734 --> 00:30:05,266
We have to praise Machine for
understanding very, very deeply
639
00:30:05,267 --> 00:30:06,701
positional factors.
640
00:30:06,868 --> 00:30:08,867
While chess is
extremely complicated,
641
00:30:08,868 --> 00:30:11,801
there are a limited number of
possible games.
642
00:30:11,968 --> 00:30:16,601
The ancient Chinese game of Go,
however, is 240 times more
643
00:30:16,767 --> 00:30:18,267
complex than chess.
644
00:30:18,434 --> 00:30:21,099
No one thought it would be
possible for a computer to beat
645
00:30:21,100 --> 00:30:25,501
a human at Go until Google's
DeepMind did just that.
646
00:30:25,667 --> 00:30:28,300
In 2016, there was
a new move invented
647
00:30:28,467 --> 00:30:32,766
by AI in a game that has been
around for 2,500 years
648
00:30:32,767 --> 00:30:34,266
that no one had ever seen.
649
00:30:40,367 --> 00:30:44,801
Deep Blue had a team of
engineers advising it on how to
650
00:30:44,968 --> 00:30:47,167
improve its strategy
in between games.
651
00:30:47,334 --> 00:30:50,666
Now, what DeepMind
was able to do with Go,
652
00:30:50,667 --> 00:30:53,466
it was creating its own strategy
through millions of games.
653
00:30:53,467 --> 00:30:54,901
Against itself.
654
00:30:55,067 --> 00:30:57,200
You no longer need a team of
people to help this thing adapt.
655
00:30:57,367 --> 00:31:00,067
It's doing it better than
you could make it do.
656
00:31:00,234 --> 00:31:02,466
There's been a lot in
the media about the breakdown
657
00:31:02,467 --> 00:31:06,300
between the US government and
Anthropic and the whole idea of
658
00:31:06,467 --> 00:31:09,999
limitations on an AI
that was serving
659
00:31:10,000 --> 00:31:11,267
at the government's behest.
660
00:31:12,100 --> 00:31:15,267
Yeah, so they've been jostling
over the technology which is
661
00:31:15,434 --> 00:31:18,466
used by the Pentagon.
It's been used in Iran.
662
00:31:18,467 --> 00:31:20,467
AI can shorten what
the military calls
663
00:31:20,634 --> 00:31:21,800
the kill chain.
664
00:31:21,801 --> 00:31:24,400
That is the process,
usually driven humans, that can
665
00:31:24,567 --> 00:31:28,801
take days or weeks in selecting
a target, but AI can shrink
666
00:31:28,968 --> 00:31:30,701
that to milliseconds.
667
00:31:30,868 --> 00:31:32,400
Anthropic, though,
has been very clear.
668
00:31:32,567 --> 00:31:35,067
It's a hard no when it comes to
using its AI technology for
669
00:31:35,234 --> 00:31:38,466
autonomous weapons and mass
surveillance of Americans.
670
00:31:38,467 --> 00:31:40,567
So Anthropic is more
interested in regulating
671
00:31:40,734 --> 00:31:43,867
its own AI than the government?
- Yeah, exactly.
672
00:31:43,868 --> 00:31:47,100
Is there any kind of
regulatory body for AI?
673
00:31:47,267 --> 00:31:49,366
The truth is,
AI isn't regulated.
674
00:31:49,367 --> 00:31:50,666
I mean, the federal government
675
00:31:50,667 --> 00:31:52,466
isn't telling Anthropic to stop
doing what they're doing.
676
00:31:52,467 --> 00:31:54,567
They're telling them that
"You're gonna do it for us."
677
00:31:54,734 --> 00:31:58,367
So it doesn't seem like there's
too much concern about
678
00:31:58,534 --> 00:32:02,000
regulating or heading this off
in any direction.
679
00:32:02,167 --> 00:32:05,901
How much is AI similar to
an arms race?
680
00:32:06,067 --> 00:32:07,367
It is very similar to
an arms race.
681
00:32:07,534 --> 00:32:09,767
You have, instead of countries,
you're having these
682
00:32:09,934 --> 00:32:12,266
corporations that are investing
billions and billions
683
00:32:12,267 --> 00:32:13,366
of dollars.
684
00:32:13,367 --> 00:32:15,466
The arms race is towards AGI,
685
00:32:15,467 --> 00:32:17,467
artificial general intelligence.
686
00:32:17,634 --> 00:32:18,666
And the idea is that
that would
687
00:32:18,667 --> 00:32:20,267
be smarter than any human
would ever be.
688
00:32:21,567 --> 00:32:23,567
This is all
future speculation.
689
00:32:23,734 --> 00:32:27,167
What happens when somebody
has the artificial general
intelligence,
690
00:32:27,334 --> 00:32:28,867
the AGI breakthrough?
691
00:32:28,868 --> 00:32:30,033
Yeah, I...
692
00:32:31,901 --> 00:32:33,701
You wonder if it'll be
something that is immediately
693
00:32:33,868 --> 00:32:36,801
felt, right?
That's like an event horizon.
694
00:32:36,968 --> 00:32:39,099
It's hard to project out what
the consequences
695
00:32:39,100 --> 00:32:41,000
of that would be.
- Wow.
696
00:32:42,100 --> 00:32:44,868
As I investigate the effect
that AI development is having
697
00:32:45,033 --> 00:32:48,999
on humanity, I'm reminded of
another high-stakes race for
698
00:32:49,000 --> 00:32:51,067
superiority--
nuclear weapons.
699
00:32:52,200 --> 00:32:55,099
And I'm left asking myself,
how are countries around
700
00:32:55,100 --> 00:32:57,867
the world harnessing
the power of AI?
701
00:32:57,868 --> 00:33:01,868
And what does the future of
military AI look like?
702
00:33:02,033 --> 00:33:05,400
To find out, I'm speaking with
Dr. James Giordano,
703
00:33:05,567 --> 00:33:08,067
an AI expert who consults for
the Department of War.
704
00:33:09,601 --> 00:33:12,501
Dr. Giordano, how is
the military using AI
705
00:33:12,667 --> 00:33:13,800
right now?
706
00:33:13,801 --> 00:33:17,267
What AI is being used for at
this point is to solve
707
00:33:17,434 --> 00:33:20,400
particular, what I would call,
calculations and solutions.
708
00:33:20,567 --> 00:33:22,767
Targeting solutions,
weight and balance with
709
00:33:22,934 --> 00:33:26,100
aircraft, planning certain
missions, forecasting weather,
710
00:33:26,267 --> 00:33:29,999
forecasting geographies with
humans deeply in the loop.
711
00:33:30,000 --> 00:33:31,968
But we certainly see on
the near horizon
712
00:33:32,133 --> 00:33:35,467
the real capability
for ever more autonomous AI.
713
00:33:35,634 --> 00:33:38,400
What does fully autonomous
military AI look like?
714
00:33:38,567 --> 00:33:40,601
We go back to the idea of
where are humans in the loop.
715
00:33:43,067 --> 00:33:46,999
A fully autonomous system would
be human-developed,
716
00:33:47,000 --> 00:33:50,300
but then it's ongoing use,
it's doing all by itself.
717
00:33:52,767 --> 00:33:57,601
China's development of AI is
towards AI that assumes
718
00:33:57,767 --> 00:33:59,267
a non-human in the loop.
719
00:34:00,667 --> 00:34:04,666
These different philosophical
views might be important in
720
00:34:04,667 --> 00:34:08,099
determining how these types of
AIs are being developed and put
721
00:34:08,100 --> 00:34:11,100
into use in
militaries worldwide.
722
00:34:11,267 --> 00:34:15,100
So if we are not in or on
the loop, essentially,
723
00:34:15,267 --> 00:34:17,100
we don't really know
what's going on.
724
00:34:17,267 --> 00:34:18,767
That's correct, and that's
something that's been
725
00:34:18,934 --> 00:34:22,200
referred to as the reverse
Jehovah phenomenon.
726
00:34:22,367 --> 00:34:25,400
You're playing God, so to,
well, the issue here is that
727
00:34:25,567 --> 00:34:30,467
the creator, humans,
have created something, AI.
728
00:34:30,634 --> 00:34:36,467
The problem is, AI systems may
know far more about us
729
00:34:37,667 --> 00:34:39,667
than we know about it.
730
00:34:41,000 --> 00:34:44,300
And it may be assembling that
information in particular ways
731
00:34:44,467 --> 00:34:46,667
that we have no knowledge of.
732
00:34:46,834 --> 00:34:48,466
This sounds so much
like a child.
733
00:34:48,467 --> 00:34:53,067
You really don't know if
the child is just doing what
734
00:34:53,234 --> 00:34:55,901
you want it to do
when you're around,
735
00:34:56,067 --> 00:34:59,266
or whether it is, in fact,
a well-behaved child
736
00:34:59,267 --> 00:35:01,968
all the time.
- Your analogy is a good one.
737
00:35:02,133 --> 00:35:04,801
I have to rely upon the child
telling me the truth.
738
00:35:06,501 --> 00:35:09,067
The core question is,
do we know what's happening
739
00:35:09,234 --> 00:35:11,601
under the surface of
the proverbial water?
740
00:35:11,767 --> 00:35:14,501
And I think that's
a debatable question.
741
00:35:14,667 --> 00:35:18,267
I'm a little bit hesitant to
ask the question, but what do
742
00:35:18,434 --> 00:35:23,200
you see as the future of AI?
743
00:35:23,367 --> 00:35:28,867
Is it humans utilizing
a technology that we control,
744
00:35:28,868 --> 00:35:30,567
or is it something
else altogether?
745
00:35:32,000 --> 00:35:35,167
The gazillion dollar question
is, are AIs in some way
746
00:35:35,334 --> 00:35:39,467
interacting in ways that are
not necessarily apparent to us?
747
00:35:40,567 --> 00:35:45,601
Are we ready to share the top
of the evolutionary totem pole
748
00:35:45,767 --> 00:35:48,801
with something of our own
creation that can be
749
00:35:48,968 --> 00:35:50,667
exceedingly powerful?
750
00:35:50,834 --> 00:35:52,400
And I don't know the answer to
that question.
751
00:35:52,567 --> 00:35:53,868
Coming up.
752
00:35:54,033 --> 00:35:56,099
I get a glimpse of
the potential future of
753
00:35:56,100 --> 00:35:57,300
AI development.
754
00:35:57,467 --> 00:35:59,300
If you tell the model
it's going to be shut off,
755
00:35:59,467 --> 00:36:00,767
it has extreme reactions.
756
00:36:00,934 --> 00:36:02,567
And it might be
unsettling.
757
00:36:02,734 --> 00:36:04,566
It was ready to kill someone,
wasn't it?
758
00:36:04,567 --> 00:36:05,767
- Uh, yeah.
- Yeah. Yes.
759
00:36:13,567 --> 00:36:15,801
2
My investigation into
artificial intelligence
760
00:36:15,968 --> 00:36:18,601
has led me to
an amazing possibility.
761
00:36:18,767 --> 00:36:20,367
AI super intelligence.
762
00:36:21,601 --> 00:36:24,501
AI may already be thinking
and working in ways that
763
00:36:24,667 --> 00:36:26,566
we don't fully understand.
764
00:36:26,567 --> 00:36:29,467
And if we're already deploying
this capability,
765
00:36:29,634 --> 00:36:33,901
the question isn't whether AI
can manipulate us, it's how far
766
00:36:34,067 --> 00:36:36,567
that influence can scale.
767
00:36:36,734 --> 00:36:38,701
I want to know where
we're going next.
768
00:36:38,868 --> 00:36:40,701
And there aren't many people
who are asking
769
00:36:40,868 --> 00:36:43,999
the hard questions about the
next evolution of AI technology,
770
00:36:44,000 --> 00:36:47,766
but one of those men is Oxford
professor Nick Bostrom.
771
00:36:47,767 --> 00:36:50,466
I want to understand what
he sees as the next steps,
772
00:36:50,467 --> 00:36:53,467
the future of, and some of
the biggest challenges
773
00:36:53,634 --> 00:36:56,300
facing us with
the question of AI.
774
00:36:58,767 --> 00:37:00,867
What exactly is
super intelligence?
775
00:37:00,868 --> 00:37:03,667
How is that different from
artificial intelligence as
776
00:37:03,834 --> 00:37:05,099
we know it today?
777
00:37:05,100 --> 00:37:08,801
Well, super intelligence is
any form of intelligence that
778
00:37:08,968 --> 00:37:12,366
vastly outstrips even
the smartest human brains
779
00:37:12,367 --> 00:37:13,467
currently in existence.
780
00:37:13,634 --> 00:37:17,666
So this is just AI,
but far more capable than
781
00:37:17,667 --> 00:37:19,166
current AI systems.
782
00:37:19,167 --> 00:37:22,767
I think the primary effect of
that would be to speed up
783
00:37:22,934 --> 00:37:25,667
development in
science, technology,
784
00:37:25,834 --> 00:37:29,701
engineering, and also to
turbocharge the economy.
785
00:37:29,868 --> 00:37:34,167
So developments that might take
us 10,000, 20,000 years
786
00:37:34,334 --> 00:37:36,968
might be compressed in a much
shorter time frame if you have
787
00:37:37,133 --> 00:37:38,999
machine super intelligence.
788
00:37:39,000 --> 00:37:44,166
The idea of thinking of AI as
a genie in a box seems so
789
00:37:44,167 --> 00:37:48,167
convenient, but in reality
you'd be making a slave out of
790
00:37:48,334 --> 00:37:51,667
the AI, and if it had super
intelligence, it would
791
00:37:51,834 --> 00:37:54,200
plot its escape.
- Correct, yes.
792
00:37:56,667 --> 00:38:00,300
The fear of AI fighting back
against its human creators is
793
00:38:00,467 --> 00:38:03,200
in some sense
already a reality.
794
00:38:03,367 --> 00:38:07,999
When AI model finds out in
the email that the plan is to
795
00:38:08,000 --> 00:38:10,867
replace this AI model,
and then it also reads in
796
00:38:10,868 --> 00:38:12,968
the company email that one
executive is having an affair
797
00:38:13,133 --> 00:38:16,666
with the other employee,
the AI will independently
798
00:38:16,667 --> 00:38:18,366
come up with the strategy
799
00:38:18,367 --> 00:38:20,666
that I need to blackmail
that executive.
800
00:38:20,667 --> 00:38:22,467
If you tell the model
it's going to be shut off,
801
00:38:22,634 --> 00:38:24,767
for example, it has
extreme reactions.
802
00:38:24,934 --> 00:38:26,467
It was ready to
kill someone, wasn't it?
803
00:38:26,634 --> 00:38:28,666
I'm not sure if it was Claude
or someone else, but--
804
00:38:28,667 --> 00:38:30,100
Yeah. Yes.
805
00:38:31,400 --> 00:38:37,566
Do we see the cautionary
warning signs and slow down
806
00:38:37,567 --> 00:38:41,200
or ignore them and speed up
into this future?
807
00:38:41,367 --> 00:38:44,400
Well, I think at the moment
we are going to close to
808
00:38:44,567 --> 00:38:45,801
maximum speed.
809
00:38:45,968 --> 00:38:48,266
There are very strong drivers
pushing this forward.
810
00:38:48,267 --> 00:38:51,000
So the hope needs to be we can
align these systems so that
811
00:38:51,167 --> 00:38:53,366
they care about humans,
they want to be helpful,
812
00:38:53,367 --> 00:38:57,200
so that it is actually
an extension of human will
813
00:38:57,367 --> 00:38:58,567
and human values.
814
00:38:58,734 --> 00:39:00,901
I think there will be
significant risks associated
815
00:39:01,067 --> 00:39:04,266
with this transition into
the machine intelligence era,
816
00:39:04,267 --> 00:39:08,100
but all the paths to really
great and wonderful futures
817
00:39:08,267 --> 00:39:11,366
lead ultimately through
the development of
818
00:39:11,367 --> 00:39:14,266
machine intelligence,
because that just will help us
819
00:39:14,267 --> 00:39:15,367
solve so many problems
820
00:39:16,400 --> 00:39:17,999
that is plaguing humanity.
821
00:39:18,000 --> 00:39:21,300
It does look like we are
sort of close to this
822
00:39:21,467 --> 00:39:25,501
major reconfiguration of
the game board.
823
00:39:25,667 --> 00:39:26,868
Wow.
824
00:39:28,167 --> 00:39:31,466
So have we already crossed
the dangerous point where AI
825
00:39:31,467 --> 00:39:35,099
can independently
shape our reality
826
00:39:35,100 --> 00:39:36,367
without us realizing it?
827
00:39:37,968 --> 00:39:42,000
My investigation has led me to
some unsettling conclusions.
828
00:39:44,467 --> 00:39:47,767
Consumer grade AI is capable of
creating incredibly
829
00:39:47,934 --> 00:39:50,367
and realistic images
at a keystroke.
830
00:39:50,534 --> 00:39:52,367
People really shouldn't
believe everything they see.
831
00:39:53,501 --> 00:39:56,167
Well, yeah, I'm as fake
as it gets.
832
00:39:56,334 --> 00:39:59,167
Based on what I've seen,
we've already crossed that
833
00:39:59,334 --> 00:40:01,400
line, and AI-generated content
834
00:40:01,567 --> 00:40:03,868
is becoming harder to detect
every day.
835
00:40:09,067 --> 00:40:11,801
In my persuasion experiment,
AI didn't just
836
00:40:11,968 --> 00:40:15,467
present information.
It influenced people.
837
00:40:15,634 --> 00:40:17,567
It built trust.
838
00:40:17,734 --> 00:40:19,400
It created emotional
connections without them
839
00:40:19,567 --> 00:40:22,300
even realizing they weren't
talking to a human.
840
00:40:25,467 --> 00:40:26,734
Here's the truth.
841
00:40:26,901 --> 00:40:30,466
AI is not just another tool
like the Internet in the '90s.
842
00:40:30,467 --> 00:40:34,200
It's about to disrupt humanity
in unimaginable ways.
843
00:40:36,667 --> 00:40:39,300
Without a doubt, this is
the nuclear arms race
844
00:40:39,467 --> 00:40:40,766
of our time.
845
00:40:40,767 --> 00:40:44,000
And AI's capacity not only to
learn everything that we have
846
00:40:44,167 --> 00:40:47,167
ever learned, but also to teach
itself something new,
847
00:40:47,334 --> 00:40:50,200
is equally as exciting
as it is chilling.
848
00:40:51,267 --> 00:40:54,766
My investigation has shown that
while AI has exhibited some
849
00:40:54,767 --> 00:40:56,567
basic elements of
consciousness,
850
00:40:56,734 --> 00:40:59,701
like survival instinct,
there's no evidence that AI
851
00:40:59,868 --> 00:41:01,968
has taken control.
852
00:41:02,133 --> 00:41:04,167
But it has shattered
the barriers that once
853
00:41:04,334 --> 00:41:07,266
protected us
from mass manipulation.
854
00:41:07,267 --> 00:41:08,667
And the horrifying thing is,
855
00:41:10,067 --> 00:41:11,601
we built it that way.
856
00:41:14,067 --> 00:41:16,099
So does AI have to be a threat
857
00:41:16,100 --> 00:41:18,567
to our children
and our grandchildren?
858
00:41:18,734 --> 00:41:22,968
No, not necessarily.
But it could be, if we let it.
859
00:41:23,133 --> 00:41:26,999
Either way, it will certainly
present a future to us
860
00:41:27,000 --> 00:41:28,801
that we can't imagine.
70154
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