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34C3 preroll music
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Herald: So. The last are the best or
something like that. Our next speaker is
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here waiting for this massive crowd that
will support him to go through his
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experience with the FBI. He's gonna share
with us the way he informs the FBI about
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his behaviors. So it's not just like in
cycling or other sports but ... I don't
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know what sport you do, Hasan. But these
easy sports men in communication with FBI.
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Please give a welcome applause ... Yes!
Last are the best. Oh sorry ...
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Hasan: That's pointing to me. The arrow
will start making sense. Really I mean
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... How amazing has it been the last few
days here, right? It's been this ...
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amazingly intense last few days and it's
kind of ... You know it's, it's an honor
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to kind of wrap this up and I really
appreciate you guys hanging out here till
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the very very very last time slot. Thank
you, thank you for coming. This is ... it
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means a lot. I've been hearing a lot
about this Congress for many years and
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this is my first time here and it's just
... you know, I was just telling some
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friends that I consider myself relatively
tech literate and then I come here and I
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feel like everyone speaking a completely
different foreign language that I have no
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idea what's happening. And it's not
because some of the talks are in German.
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It's like literally like some of the
subject matter is so specific that it's
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so easy to be completely like: What is
being discussed? So I'm gonna tell you,
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it's something a little bit more ... you
know, a little more of a story and kind of
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tell you about what I've been doing. So
I'm an artist and I get called all sorts
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of different things I get ... You know,
sometimes I get lumped in with the media
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artists, sometimes with sculptor,
sometimes with photographers, sometimes I
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get called a con artist. But so ... so
it's kind of odd being in this, being in
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this gatherings. Particularly after some
of the other talks that I've been sitting
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in on. But let me tell you a little bit
about how this thing came about, this
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thing with the arrow. By the way I'm at
elahi.org or elahi.umd.edu. I'll show you
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some of my works but mainly I'll be
focusing on this one project which is
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called Tracking Transience which I
started shortly after 9/11. So let me just
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give you a live feed of what it looks
like. So this is, this is it. So you can
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go on the web and you could follow me at
any given moment. And there's this pixel,
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this arrow that comes here, which is actually...
These days we're so used to seeing
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ourselves as pixels on a map. But this
project was started 2002 and back then to
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see yourself as a pixel was just such an
unusual thing. I mean, these days we ...
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You know, these days you're driving down
the road and there's that little icon on
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the GPS, that tells you exactly where you
are. Or you know the ... I mean like, you
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know, like when was the last time you
bought one of those maps at the gas
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station? You opened it up ... Do you
remember that? I mean, we don't ... it's
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just like we just completely lost that. We
can't even know how to fold a map back up
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anymore. You know, cuz back in the old
days you'd have to take out that map and
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you'd go: "We're here!" So you'd have to
locate yourself to the geography within
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that map. These days, you take out that
magic phone, you press that little button,
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and you become the center of your own
map. And your ... the map resizes to you.
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So the space of the ... So looking at
yourself as a digital space versus a
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physical space. You know it's, it's a
totally different concept that we're
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running into now and for some reason this
looks like this got caught up over here.
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So let's give it another kick. And
hopefully it'll kick in again.
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Okay. So, that's, that's, so this is, this is where
I started. So the project starts here.
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And you know, then this goes through the
cycles of everything that I eat and ...
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You know, let's see what comes up after
this. You know, you can probably see where
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this place is. You probably recognize
that. So these are all the meals that
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I've been cooking at home. And I photograph
all of them. It's just kind of interesting.
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As now it's like it's so common
on Instagram, it's like, you know, if
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people think that you know, well, why else
would you be using Instagram other than
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posting photos of your food? But I help
out the FBI with this. So I sent this ...
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So this was on Friday December 4th. This
was at the corner of Santa Clara and 11th
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in San Jose. I got, I bought gas there.
This is at the Gimhae Airport in Busan.
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This is some tripe, that I've cooked at
home. Because I really like tripe.
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This is, this is actually the Barack Hussein
Obama School in Jakarta, Indonesia,
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1st March. This is, this is, ... Sorry, this is
going so fast. So every few moments, what
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I do is: I take a photograph and I
timestamp my life and I send it to the
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FBI. And, well you know, it's ... And
it's also kind of interesting. Because
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these days, the project means something
so different. When I first started this
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project, people would be like: "Oh no no,
don't show up at my house!" And now it's
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like - You know, it's not like if you're
don't, if you're not on social media, if
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you're not connected, like people think of
you are some, some weirdo or something.
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So what happens here is that this thing of
like continuously, continuously
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monitoring myself and continuously
checking in ... You know, now a lot of
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people are like: "I don't get this. This
looks like my Instagram feed. What's the
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big deal?" But then this concept of self-
surveillance or this, this watching
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ourselves or monitoring ourselves for the
sake of someone else, whether it be your
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Twitter followers or in my case the FBI
... I mean, this is something that's
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become so commonplace. And each of us are
creating our own archives. So a lot of
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the shifts that's taking place culturally
- I think it's really important to think
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about this, because, you know, it's like,
like this bed. I mean, you're not really
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sure what happened in that bed. You're
not really sure who I was there with. Or
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you see these like random train stations.
There are always these empty spaces.
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There's like ... no one's ever there, and
every now and then you might see some
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people. But they just, they just tend to
be incidental to the image.
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Which is kind of interesting when you look at
like the "no photography" or the
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"ask permission
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of people that are in there" Which is
really amazing to think about. That like
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how many cameras are there in every given
moment? Actually in this room, right now,
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they're at least twice as many cameras as
there are people. Because there's one
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camera in the front of your phone and
another one in the back of your phone. And
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who knows how many other cameras in, in
all the other devices and everything else
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that we are putting in. So we can't
really escape these cameras, regardless of
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what we do. And so all of these things,
all these bits and pieces that I'm
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archiving of my life. So every few moments
another photo gets put up and it gets
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tagged with the geo tag of where it was.
Again this is something that's so common
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today but 12, 13, 14 years ago this was
completely just like: "What are you doing
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and why are you doing this?"
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And ...
sorry ... So yeah, and then of course
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there's all these toilets because, uh, my
FBI agent really needs to know. I figure
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the FBI, that ... You know, they want to
know my business and I'm very open and I'm
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very sharing. So I figure, I'm gonna tell
them every little bit of detail,
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including the toilets that I use and how
frequently and where I go. You know, they
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need to know, so! Really, what's
happening, you know and, and what I'm
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really, what I'm really doing is: I'm,
it's, it's a matter of telling you
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everything and telling you absolutely
nothing simultaneously. It's a barrage of
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noise. Look, I know that eventually, you
know, machine and AI machine readers and
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AI is going to get so, so sophisticated,
that at a certain point this idea of
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overwhelming the system, it's not going
to be possible. This is a temporary fix.
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And the reason I chose this fix is, you
know, obviously the FBI has a file on me.
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By the way, the background story of this
is: I got reported as a terrorist.
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I guess, I should probably explain on that
a little bit. So shortly after 9/11, my
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landlords, that I rented this storage
space from, called the police and said,
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that an Arab man had fled on September
12th, who is hoarding explosives.
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Never mind. There were no explosives.
Never mind,
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it wasn't an Arab man.
But you know, that Arab man
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would be me. Even though
I'm Bengali and we're actually not Arabs.
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But it doesn't matter because as far as
many people ... You know, they're all the
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same over there. They're all kind of fun.
You know, that's, it's, it's that mentality
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So I spent six months of my
life with the FBI, convincing them that
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I'm not a terrorist. And after all that
they said: "Okay, everything's great,
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you're fine", and I said: "Okay,
wonderful, can I get a letter saying :
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I'm fine?" There's a little problem with
that, because have you ever tried to get
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something that says: "You're not guilty
of something you never did"? So you know,
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so ever since then I've been with my FBI
agent. I said: "Hey, what can I do? I
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mean, I travel a lot. All we need is the
next guy not to get the next memo and
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here we go all over again. How do I avoid
this?" So at that moment he gave me a
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phone. He says: "Here's some phone
numbers. If you get into trouble, give us
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a call. We'll take care of it." So ever
since then I would call my FBI agent,
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tell him where I was going, send him
photos to all of these things, and thus
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that's what this whole project started. In
a ... I mean back then when I started this
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project, shortly after 9/11, I mean, my
phone was like those old ... Remember
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those old Nokia 6600? Those like super
chunky ones and you had to hit the buttons
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like a whole bunch of times to send like
one text message across? And we should
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call them smart phones back then. I mean,
they're really not that smart, but
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they're kind of smart phones. Anyway. So
this process of like sending all this
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information to the FBI. I started telling
them everything. And also at the same
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time by telling them everything I'm also
telling them absoutely nothing because
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it's just a wall of noise. And in that
noise there is some signal and the ratio,
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the signal-to-noise ratio, is actually
pretty skewed. It's pretty, it's pretty
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out of sync in that sense. Because it's,
it's difficult for the, for the viewer to
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know what they're looking at. So if you
don't s–. That website, it's a, it's, it
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is an archaic website. I mean, it is
completely obsolete technologically, but
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more importantly, it's also one of these
things, it's, it's intentionally user-
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unfriendly. It's not, you know,
information is not categorized in a way
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where, you know, "oh, I want to see this
data this time". It's like, it's just, it
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just comes in it, whichever way it, the,
the algorithm these days feels like
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generating the, the info. So sometimes
you might see a taco, then you might see
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the next one from Mexico City, then
Mexico City might go to like this place
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because I took a flight from there to
Houston. So you might get some images
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from Houston next. And then from Houston
you might get some things from another
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city in the back and forth. So it actually
takes all these pathways various through
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it. So in this process I'm really, you
know, it's, it's, I'm telling you
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everything and nothing in this
camouflage. In this, you know, thing of,
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like, you know, historic camouflage. Now
the concept of camouflage particularly in
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digital identity is really important.
Because historically, when you hear
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camouflage, it's usually meant for, you
know, warfare, battle, soldiers. And the
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reason we have, the reason, camouflage
looks at certain ways, because it was
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designed to break the silhouette of the
body of the soldier in the battlefield,
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in the landscape of warfare. So this is
why, you know, certain trees look certain
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colors and when you look, you know, it's
every place you go, there's a different
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war. Each, with each war, there's a
different pattern, that, that's used. Now
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if you look at the new camouflage, that
most troops are wearing, particularly in
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the US, where I live, it's all pixeled,
it's all pixelized, you know, it's all,
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and it's all this, like, weirdly grayish,
greenish color. I don't know if you've
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noticed that color. But there's no trees
that color anywhere. It's because it's
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not meant for blending into the landscape
anymore. It's no longer meant so the
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soldier has to blend into the
battlefield. The reason it's pixelized and
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it's that grayish, greenish color is
because we no longer have a need for the
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soldier to blend in to the battlefield,
the physical battlefield. But what we want
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is the soldier to be, so the enemy cannot
distinguish the physical body of the
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soldier in the noise and the night-vision
goggles. That's why it's that color.
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That's why it's that grayish green. So this
is a huge step. So we no longer, it's no
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longer about the physical presence of the
body in the, in the war field, in the, in
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warfare. But it's now about the, it's now
where the, the digital body, that the
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physical body is intentionally
camouflaged and mistaken for a digital
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artifact. It's that pixelization, that we've forced basically in
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warfare. And a lot of work, that I do,
with a lot of, a lot of the art, that I
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come up with, comes out of warfare and
such. And I'll show you a little. But this
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is a really important piece, that I
wanted to talk to you about. Because this
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was taken from one of the earliest samples
of what the US Army uses. And it was done
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at the, at the base, at Natick, which is
the, outside of Boston. This is where a
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lot of the camouflage in the US is
designed. It's the US Army's fashion
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design department. Though they would never
call it the fashion design department. But
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this is where they design all the
camouflage and the, and the outfits. And
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so this sample was taken ... At first, it
just looks like a modernist grid. Various
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photographs and such. But what they
really are, is ... I took the old sample
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and I blew it out and took out each pixel
and replaced each pixel with a photograph
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of a historic or current point of
conflict. So there's these two images
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right in the middle. If you look. The two
blue images over there, kind of in the
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middle to the bottom, those are in North
Korea. Those are north the 38th parallel.
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That could technically, north the
parallel. So you're actually in North
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Korean territory, but at Panmunjom.
There's actually six buildings and three
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... And all six are built directly across
the border. And, you know, it's kind of
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unpractical to share half the building
with another country. So three of the
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buildings belong to South Korea, three of
them belong to North Korea. So these were
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the South Korean buildings. But physically
in North Korean territory. Similar like
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that plate of ham that you see right
below it, you know, it's a Spanish ham.
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And being a good Muslim, I really do
enjoy my Spanish ham. But this was, this
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was photographed in Guernica, the site of
a brutal massacre. Shortly ... you know,
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so similarly, so each of the, every
single one of these images, they might
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seem like these generic or bland images,
but they're all historic conflicts or
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current conflicts. There's, there's an
image in the, in the upper right hand, in
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the upper left hand corner, right there,
and it's, it's of an office building with
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just a flag with three stripes going
across. And this is like a quick world
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affairs quiz. Which country has, has a
flag that goes three horizontal stripes
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across, the top and bottom are red, and
the middle one is green? Any guesses on
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this country? Three stripes, red, green,
red. Lots of confused looks,. Huh? ...
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It's, it's a trick question. The country
doesn't exist. It's a, it's Transnistria
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or at least the Russians call it
Pridnestrovia. And it's a breakaway
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republic of Moldova, it's a tiny little
sliver of land between Moldova and
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Ukraine. Maybe about 20, 30 kilometers
wide and maybe about 200 kilometers long.
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This tiny, tiny, tiny sliver ... no one
... They have it, well, by the way, they
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have their own military, they have their
own passports, they have their own
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currency, they have their own judicial
system, they've their own everything. Like
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a country, except no one recognizes them
as a country. But if you need to go buy 20
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cases of AK-47s, this is the place to go.
So this is, this tiny piece of land, this
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tiny piece of land, that no one
recognizes, is really where a lot of the
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destabilization of the world comes from.
So I went over there and then of course I
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would tell my FBI agent: "This is where I
was going, just loitering." He was like:
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"What are you doing over there?" So I
said: "I'm just hanging out, just seeing
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what's going on." Anyway. So again, all
of the, every single one of these images,
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there's bits and pieces of these types of
source ... But I want to go back at the
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state of warfare and talk to you a little
bit about that. So, I live in the US. And
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you know, it's we're, you know, currently
at the war on terror. Actually the, the
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real name is the Global War on Terror. And
this was a drawing that I did for a
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project a few years ago. And there's a,
there's a congressional document. So
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there's this document, that the US
Congress keeps, and it's called the
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"Instances of Use of United States Armed
Forces Abroad", this time was 1798 to
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2006. This gets updated every year. And
interestingly enough, when you look at
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this document, it's ... everything is just
the facts, everything is, you know, in
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1838, you know, Marines chased pirates
onto a Caribbean island. Well, when the
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Marines landed on that Caribbean island,
we invaded that country. Any time you send
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your troops on to another country soil
without that country's permission, you
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have invaded that country. So everything
from like, you know, Marines chasing
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pirates to a Caribbean island all the way
to World War One, it's all just one,
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everything's just listed as one instance,
just straight down like ... And this, and
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it's just, goes on for pages and pages and
pages and pages and pages and, you know,
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so and then you look at it like: "Wait.
When, when did, when did the US invade
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Florida?" Well, that was when it was Spanish
territory, this is a, you know, before
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that became part of United States
similarly, you know ... So when you look
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at it, all the white X's are all the
invasions, that the US has undertaken
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between 1776, which was the year of the
independence, to World War One. All the
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gray X's are World War One to Vietnam. And
all the black X's are Vietnam to today.
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The number of invasions, that the US
troops have undertaken between 1776 and
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World War One, roughly equate the same
amount as World War One to Vietnam. And
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the number of invasions from 1776
to Vietnam roughly equate Vietnam to
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today. In the last 100 years, in the last
117 years, since 1900, there's only
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been five years, where the US has not
been at war. Interestingly enough, we've
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only declared war 11 times in history.
Since independence of the country, the US
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has only formally declared war 11 times.
Yet of the all the years, that we've ever
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been an independent country, like there's
only like 20 or 30 years, that we haven't
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been at war. And most of those are pre
1800. And then... So since
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1900, there's only been five years. And
you can see all of these dots. So one of
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the reasons that I wanted to create this
document, is that I had this proposal,
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that I wanted to do for this, uh, this
museum in Spain. And I was talking to
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curator and I said: "Hey. You know, it
would be really great, what if we set up
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a wall of like bulletproof glass in the
gallery. So we'll just, it's like, as
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people are going around the museum, we
just set up a huge bulletproof, huge
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sheet of bulletproof glass with a really
faint drawing of the world. And we'll
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have got, we'll have a guy with a rifle
in the back and he'll shoot bullets at the
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audience. But the, but because there's
bulletproof glass, it'll stop. And I mean,
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I knew that there was just no way they
would go for it. But to my surprise, they
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said: "Let us talk to some security people
and we'll get back to you about this."
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And I was really surprised. So in the
meantime, we did some ballistics tests.
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So check this out. Look at, look at, I
mean, like, that's what it looks
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like. I mean, it's just beautiful when ...
I mean, just the way, like, when
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basically, when bullets hit bulletproof
glass. It's not really glass, it's just
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very dense plastic. And the heat of the
bullet comes in at such velocity,
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that the plastic melts just ever so
slightly and then just swallows the bullet
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back up and it freezes back up, so
slightly liquefies and then solidifies.
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This is what happens inside your body,
when you get shot. Except your body
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doesn't just, you know, absorb the bullet
and just refreeze together. It's just
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like this really scary looking thing of
just looking at that, that blunt trauma,
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that immediate point of when that
bullet hits. This is what happens. So we
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did some ballistics tests and we went
through some ideas and then, and then of
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course, as I expected, they said: "No,
you're crazy, there's no way we're doing
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this." But they were willing to send this
out to, to off-site. And we built this in
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these fabricators built this off-site.
And of course then there was these other
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problems of, you know, if we build this in
the US and send it to the museum, I mean,
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you know, when it comes into Europe, does
it get imported as artwork or does it get
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imported as, well, possibly firearms
because there's actual real gunpowder in
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it? There's a lot of problems. So in
order to deal with the customs issues
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of it, we figured, you
know, what, let's just ship it,
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let's just have it built in Spain. And
then, as we were about to build this, we
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realized: There was a little pesky Spanish
law, that requires you to be at least 25
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meters away from the intended target. You
can't discharge a weapon in less than 25
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meters of its intended target. Now of
course I wanted this piece to be gigantic.
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And then you could only imagine, that
this, the price of the bulletproof glass,
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as it gets larger and larger and larger.
So we eventually agreed that it'll be 4
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meters by 2 meters. Except at that scale,
each of these dots, each of these bull–,
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each of these targets then become like 3
millimeters or 4 millimeters in diameter.
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Now I don't know how many of you do
shooting or target practice or any of
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that. But try to hit 330 dots that are
about 3 to 4 millimeters in
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diameter from 25 meters away, one after
another, without missing them. That's
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actually practically impossible. So I was
like: How do we do this? And then the
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museum fortunately hired three former
Olympians to do this. It was just
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unbelievable, watching these guys. And of
the 330 bullets, that are there, 326 of
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them were exactly on center. The four that
were off, were no more than five, five
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millimeters, and I'm convinced I just
drew them wrong. Those four, I mean, it's
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just, it's just unbelievable. But you,
but you can see what happens. So in the
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middle over here, this is Central
America, we have hit, we have invaded
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Central America so many times. That as
you keep hitting these bullets, these
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physical, these bullets, just eventually
the bulletproof glass just shatters and
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gives away, I mean, it so, it causes a
literal wreck. So it's kind of
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interesting, looking at this, this very
abstract concept of, of these invasions,
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these political, these types of political
policies, that we have, and what the
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physical manifestation of that, what that
does in a map. But what does that do to
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the physical geography? So I'm really
interested in this idea of geography body,
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data body, this physicality and the
virtuality and how these two come
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together. And this. So similarly, uh,
I've been, I've been doing a lot of these
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things about warfare and such. And I want
to show you this project. This is a
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project that I've been working on in, in
Hawaii recently. And you know, Hawaii, I
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mean, who's gonna turn down a job in
Hawaii? It was pretty unbelievable,
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getting a chance to do this
project. And so, when you go to, when you
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in... Hawaii is a really
interesting, at least in American policy
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and American political and cultural
perspectives, Hawaii is a very unique
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place. Because Hawaii is the ultimate
manifestation or the ultimate, like,...
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embodiment of what we in, in the, in the
US we have this term called "manifest
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destiny", which was a term from the early
1700, actually the late 1700s, in the
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early history of America, where we
decided to start in the East and the
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Atlantic and expand all the way across
the ... That we will manifest the
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country and the whole land will become
ours. This is the birth of the US. This
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is the idea of how the country was, was
given birth to. Now, Hawaii is a really
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interesting situation in this perspective
because now, you know, we've started on
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the Atlantic coast, we've
conquered, conquered, conquered,
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conquered, conquered, got, went all there
over to the end. We've gone to the Pacific
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Ocean. And now we've crossed the Pacific
Ocean. And now we've gone to this middle
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of this, this rock in the middle of the,
of the ocean. And now we're at the top of
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the mountain. So we've actually, like, you
know, then all that, then ... The
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interesting thing is: Hawaiian culture,
when you go to the peaks of each of the
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mountains, every, every of the mountain
peaks are sacred. Interestingly enough,
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when you go to each of these mountaintops,
they're all, well, there are almost always
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US military or some sort of government or
some sort of science. But, of course, for
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many ... And now, granted, I know, there
is some amazing stuff being done. But
330
00:25:50,360 --> 00:25:54,919
there's a lot of also very shady, you
know, like it's military stuff being
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done. And it's also this thing of like
going up and then now with these
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surveillance devices, these telescopes at
the top of each of these monitoring and
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surveying and measuring everything out in
the West and out in the sky. And you
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know, so we've gone through the West,
which is also a really interesting thing
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about the history of landscape in
America. Let me show you, let me show you
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a couple of these images of the top of
this place, which is just, it's just
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beautiful going up there. I mean, it
looks like Mars. And a lot of the Mars
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tests were actually done up there because
... I mean, it's just amazing.
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Like you're looking down at the sky and
there's these like satellites everywhere.
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I mean, it really does look like a Martian
landscape. I'm really interested in this.
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Okay, so let me show you these projects.
I've been really interested in watching
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the watchers of this thing of ... like
... And what happens when you aestheticize
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surveillance. I mean, obviously, this is
a major issue for a lot of us. And a lot
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of the conference topics here, talks
about privacy and what to do and how to
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stop mass surveillance and things of
that type. But when you hear the word
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"surveillance imagery", what do you think
of? What are you thinking? Just imagine:
347
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a picture, "surveillance imagery". What
does it look like to you? And for most of
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us, we generally probably think of like,
you know, like, what CCTV or surveillance
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camera images look like. Usually grainy,
pixely, no, gritty, sometimes black and
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white. You know, with this audience, we already know data
storage is cheap. I mean, this data
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00:27:25,740 --> 00:27:30,779
storage, I mean, you could buy a terabyte
drive for like 30 bucks. So data, you
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00:27:30,779 --> 00:27:33,519
know, it's, and it gets cheaper and
cheaper every day. And the capacity gets
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larger and larger. So it's not necessarily
an economic issue. But it's actually more
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of a cultural issue. And, and I'm
proposing the fact that when you hyper-
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aestheticize a surveillance image, your
brain no longer reads it as surveillance.
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Your brain rejects the image when it's
too aesthetically pleasing. You read it as
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landscape or you read it as, read it as
landscape photography. And, and many of
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the, in the case of landscape photography
and many of it is, the history of it is
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based on landscape painting. So it's
really that, that gritty graininess that
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actually gives us the, the emotional
attachment that this is a surveillance
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image. Because when it becomes, when it
doesn't have those characteristics, when
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it doesn't have those qualities, it
becomes a photo or a video. So in this
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case, I just, I was really interested in
what happens when, when you hyper-
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aestheticize that. And imagine if you had
x-ray vision. Imagine you had x-ray
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vision. You could see right through this
wall. What would you see on the other of
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this wall? Well, this image, which
actually looks like a window pane. They're
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actually six very large monitors and this
is, this functions as a see-
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through wall. So you could actually see
through this wall. And just so, it just
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so happened that on the other side of the,
of the wall from this exhibition space
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was the Baltimore Police Department. So I
loved the idea of being able to watch the
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police watching me watching them. And
when you notice that there's that, next in
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the blue light there's a little
surveillance camera on top of their
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dumpster which really doesn't make any
sense to me why they would need a
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surveillance camera over their dumpster.
But I just love this image of just this
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constant reflecting back and forth and
watching and watching and watching back.
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And in the image you couldn't tell, you
know, whether it was, whether you're
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looking at a photograph or whether you're
looking at a video or whether you're, you
378
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know, it's just every now that you see
some blurry lights move by or some of
379
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these figures. But really, you know, if
you look at a lot of what machine vision,
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a lot of the software, I mean, you know,
like, you know, you see those things on
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the TV with all those people looking at
those monitors. And that's, no, that's,
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that's like the movies or that's like they
used for like fundraising. The real stuff
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00:29:42,899 --> 00:29:47,390
is all machines looking at this stuff. And
it doesn't actually look that sexy at all.
384
00:29:47,390 --> 00:29:51,937
So I love this idea of actually taking
this image and, you know, seeing
385
00:29:51,937 --> 00:29:56,299
what can happen when it's
aestheticized. Now similarly, you know,
386
00:29:56,299 --> 00:29:59,720
what happens when the form is
aestheticized? This is the very
387
00:29:59,720 --> 00:30:03,230
similar project at another location. But
this is what you would see through the
388
00:30:03,230 --> 00:30:11,049
wall. And when you see this, I mean, your
brain completely rejects this as a
389
00:30:11,049 --> 00:30:17,370
surveillance image. But this is exactly
what happens right on the other side over
390
00:30:17,370 --> 00:30:22,309
there. So thinking about the idea of
aesthetics and what surveillance looks
391
00:30:22,309 --> 00:30:28,919
like and at least, you know, growing up
in an American context, you know, so
392
00:30:28,919 --> 00:30:33,809
a lot of the history of American
photography comes from American painting
393
00:30:33,809 --> 00:30:38,530
or landscape painting. And the history of
a lot of our landscape painting comes from
394
00:30:38,530 --> 00:30:42,450
the Hudson River School, which is the
Northeast and, you know, up north of New
395
00:30:42,450 --> 00:30:47,970
York City and up the Hudson River. These
gorgeous grand vistas, often of these
396
00:30:47,970 --> 00:30:54,210
really large, you know, wide viewpoints,
of these very like subliminal, very like
397
00:30:54,210 --> 00:30:59,190
spiritual type of imagery. This very
godlike imagery. Which is kind of
398
00:30:59,190 --> 00:31:04,358
interesting because in the way it is like
trying to replicate this eye of God. Or if
399
00:31:04,358 --> 00:31:06,700
you want to look at it from the
perspective of surveillance, in which we
400
00:31:06,700 --> 00:31:12,659
generally tend to think of surveillance
as a very post 9/11 or a very 21st century
401
00:31:12,659 --> 00:31:17,889
concept. I mean, most of us did not use
the word surveillance, say, you know, 20
402
00:31:17,889 --> 00:31:22,330
years ago, 30 years ago. That word was
not as common. It certainly has become
403
00:31:22,330 --> 00:31:27,330
incredibly common in our vocabulary very
recently. But even though we tend to
404
00:31:27,330 --> 00:31:32,429
think of surveillance as a very post–, a
very 21st century concept, this is
405
00:31:32,429 --> 00:31:36,510
something that's been embedded in our
history, in our brains for thousands of
406
00:31:36,510 --> 00:31:41,570
years. Particularly when you look at those
early paintings. And then God as the
407
00:31:41,570 --> 00:31:49,179
original surveillance camera. You behaved
because God was watching. So it was very
408
00:31:49,179 --> 00:31:55,220
easy to replace this being above with a
camera above. And that becomes so
409
00:31:55,220 --> 00:31:59,620
normalized in our daily lives. I mean,
think about it. How does Santa Claus know
410
00:31:59,620 --> 00:32:04,519
everything about you? I mean, we were
taught this since we were at such an
411
00:32:04,519 --> 00:32:09,780
early point in life. We've ... So this
normalization of surveillance, this
412
00:32:09,780 --> 00:32:13,640
normalization. And also this, you know,
and ... You know, we don't think, we
413
00:32:13,640 --> 00:32:18,610
never use the word surveillance when we're
talking about God. Again you know, this
414
00:32:18,610 --> 00:32:21,940
aesthetics, the hyper-
aestheticization or maybe, if you want to
415
00:32:21,940 --> 00:32:26,269
call, I mean, this is not exactly a
statusization. But, you know, in
416
00:32:26,269 --> 00:32:31,500
the idea of thinking about it. So, again,
this relationship between the watched and
417
00:32:31,500 --> 00:32:35,580
watcher. And, you know, another similar
project and one that looks like when
418
00:32:35,580 --> 00:32:40,360
you break that frame of looking at ... of
the format of surveillance and when you
419
00:32:40,360 --> 00:32:43,809
aestheticize the format, not only the
imagery of surveillance, but also the
420
00:32:43,809 --> 00:32:48,169
format and how the surveillance is
presented. I mean, we rarely, we would
421
00:32:48,169 --> 00:32:52,181
never, we wouldn't even think of this as a
surveillance camera image. But that is
422
00:32:52,181 --> 00:32:56,389
exactly what this is. That's another
similar piece. I just want to show you
423
00:32:56,389 --> 00:32:59,200
the context of this one. Because I want
to show you, but talk a little bit about
424
00:32:59,200 --> 00:33:04,350
the project that's going on on the right.
And this image is ... So they look like
425
00:33:04,350 --> 00:33:08,090
these landmines. But they also look like
satellites. I'm really interested in this
426
00:33:08,090 --> 00:33:12,015
idea of like circumnavigation. I'm really
interested in these things of, you know,
427
00:33:12,015 --> 00:33:16,320
conceptually this project is telling you
earlier about. This is about telling you
428
00:33:16,320 --> 00:33:21,119
everything and nothing simultaneously. But
in a similar way, I'm also really
429
00:33:21,119 --> 00:33:25,330
interested in this concept of Magellan and
circumnavigation, where you go far enough
430
00:33:25,330 --> 00:33:29,710
to this side, you end up in the other.
You circle around the whole thing. Does
431
00:33:29,710 --> 00:33:32,389
that make sense, a little bit? So in the,
you know, sometimes some people are so far
432
00:33:32,389 --> 00:33:36,908
to the left, that they're actually very
much to the right and vice versa. So
433
00:33:36,908 --> 00:33:40,388
there's this, the circular reasoning
that keeps coming back and forth. And I'm
434
00:33:40,388 --> 00:33:43,390
really interested in this thing and ...
This could be a landmine, but
435
00:33:43,390 --> 00:33:47,320
this could also be a satellite. It's,
there's these types. And then also at the
436
00:33:47,320 --> 00:33:50,940
same time, like, this was, this is an
earlier project. But they also look like
437
00:33:50,940 --> 00:33:54,779
selfie sticks. But then there's these,
like, all these things coming out with
438
00:33:54,779 --> 00:33:58,120
these, like, these monitors sticking out
of each of ... This is pretty iPad. Well,
439
00:33:58,120 --> 00:34:01,889
actually this installation was done
later. But I mean, now it's like these
440
00:34:01,889 --> 00:34:05,620
tablets are like so common. And they're so
everywhere. But what ... These are 72
441
00:34:05,620 --> 00:34:09,139
monitors and all the images that I've
shared with the FBI and said to my FBI
442
00:34:09,139 --> 00:34:13,480
agent, these are all being shown on all
these monitors simultaneously. And you
443
00:34:13,480 --> 00:34:19,350
could get an idea of what you're looking
at. So in the same sense this project was
444
00:34:19,350 --> 00:34:23,530
... This is only a part of ... This
one's... This one's about,
445
00:34:23,530 --> 00:34:32,090
it's about 28 feet. So that's just about
8 meters, 8 and a half meters tall, this
446
00:34:32,090 --> 00:34:37,350
piece. And it's basically every photo
that I photographed and shared.
447
00:34:37,350 --> 00:34:41,669
But they're all printed in these huge
pieces, in these huge, vinyl banners. And
448
00:34:41,669 --> 00:34:45,870
the actual photos, each photo is about
this little. But, you know, there's like
449
00:34:45,870 --> 00:34:48,962
thousands and thousands and thousands and
thousands of them. So when you look from
450
00:34:48,962 --> 00:34:53,897
the back, all you see is these vertical
color stripes. Interestly enough, well,
451
00:34:53,897 --> 00:34:57,080
what they, the other thing that ... I
don't necessarily disclose this in public
452
00:34:57,080 --> 00:35:00,140
and I put the [unclear] but you're really looking
at all the images shot on Sunday, all the
453
00:35:00,140 --> 00:35:05,570
ones on Monday, Tuesday, Wednesday,
Thursday, and so on with the seven days.
454
00:35:05,570 --> 00:35:09,850
But what's also happening is, you know,
the color bars, the test bars for
455
00:35:09,850 --> 00:35:13,937
color calibration of monitors, you know,
it's like ... So, one of the things that
456
00:35:13,937 --> 00:35:17,762
happend, I'm sure you must have had,
I'm sure, you must have had this in
457
00:35:17,762 --> 00:35:21,100
Germany. But in the US we used to
have a thing called the Emergency
458
00:35:21,100 --> 00:35:27,090
Broadcast System. And the television show
would stop and would go peeep This tone
459
00:35:27,090 --> 00:35:30,360
would come out and these color bars would
come on the screen and it would say "This
460
00:35:30,360 --> 00:35:33,780
is a test of the Emergency Broadcast
System. Had this been a real emergency,
461
00:35:33,780 --> 00:35:37,380
you would have been instructed on what to
do." So this thing of impending doom,
462
00:35:37,380 --> 00:35:42,010
this thing, if something is, something bad
is about to happen or something bad could
463
00:35:42,010 --> 00:35:45,420
happen. And because something like that
could happen, we need to be ready and we
464
00:35:45,420 --> 00:35:49,545
need to be prepared. This thing of like,
you know, being ready for these things. So
465
00:35:49,545 --> 00:35:53,300
I'm really interested in that, in this
idea of, like, what happens when
466
00:35:53,300 --> 00:35:57,073
you use that tone or when you use that
color and you borrow that thing? But at
467
00:35:57,073 --> 00:36:01,670
the same time, it's the very same system
that broadcasters use to calibrate
468
00:36:01,670 --> 00:36:06,620
signal. So this thing of signal, you
know, and if you think about it. On a
469
00:36:06,620 --> 00:36:10,740
daily basis, we generate so much digital
information. How much of it can be, how do
470
00:36:10,740 --> 00:36:14,530
we calibrate that? So in a way of
giving a nod to that, that's where this
471
00:36:14,530 --> 00:36:20,520
piece comes out of. So and then this one
led to the next one, which ... This has
472
00:36:20,520 --> 00:36:25,151
been making the rounds throughout the
place. So this was at ZKM a couple of
473
00:36:25,151 --> 00:36:29,401
years ago here. And then, now this has
been floating around Eastern Europe. And
474
00:36:29,401 --> 00:36:32,270
these are, you know, they look really
small on the, in the photograph. But this
475
00:36:32,270 --> 00:36:36,060
is the same piece, but lit up from the
back. I'll show you another photo of it
476
00:36:36,060 --> 00:36:39,650
so you can get a better idea of this
piece. So you're seeing every little bits
477
00:36:39,650 --> 00:36:43,730
and pieces and all of these things coming
together. So they're about three meters
478
00:36:43,730 --> 00:36:49,280
tall, each of these slabs. And
and they're lit up from the back. So
479
00:36:49,280 --> 00:36:52,450
and then this is a body of work that
I'm dealing with. So this thing of, like,
480
00:36:52,450 --> 00:36:56,300
you know, libraries or archives. And we
all have them. We all create personal
481
00:36:56,300 --> 00:36:59,250
archives. I mean, if you look at every
single photo you've ever shot, I mean,
482
00:36:59,250 --> 00:37:03,170
which you probably have a record of. You
know, so when you have all of these, so
483
00:37:03,170 --> 00:37:06,530
what, you know, so we're all keeping our
own private archives, you know, I have my
484
00:37:06,530 --> 00:37:11,130
own private archive that I'm doing as a
parallel archive to the FBI. But, you
485
00:37:11,130 --> 00:37:14,950
know, it doesn't have to be for the FBI.
I mean, we all ... maybe in this room, I'm
486
00:37:14,950 --> 00:37:18,030
sure everybody here has been watched
by the government. And there's
487
00:37:18,030 --> 00:37:21,620
probably a few people from the shady
organizations in this room right here
488
00:37:21,620 --> 00:37:26,000
anyway or certainly at the conference. But
what you're looking at here is every,
489
00:37:26,000 --> 00:37:30,380
maybe one of those images. And then
there's this pretty grainy black-and-white
490
00:37:30,380 --> 00:37:34,590
image on top. And it looks like every
other industrial rooftop. It looks like
491
00:37:34,590 --> 00:37:38,560
it's a roof top of a building. And you
can see the, the fans and the exhaust and
492
00:37:38,560 --> 00:37:42,200
the vents. And then at the lower right
there's these like golf ball looking
493
00:37:42,200 --> 00:37:48,800
things. And most buildings don't have
those. This happens to be the rooftop of
494
00:37:48,800 --> 00:37:53,910
the NSA. This is... So really
you know, and I kind of look at
495
00:37:53,910 --> 00:37:58,200
it like the NSA and you know - us,
we're kind of in the same business. We're
496
00:37:58,200 --> 00:38:00,580
kind of on the information business.
Except, you know, they like to keep
497
00:38:00,580 --> 00:38:04,976
theirs to themselves and I like to
give it out to everybody. So, you know,
498
00:38:04,976 --> 00:38:08,200
we operate a little differently in our
business. But we're kind of in the same
499
00:38:08,200 --> 00:38:12,510
business. So I decided to put this piece
out. And really, this thing of like, you
500
00:38:12,510 --> 00:38:15,586
know, so, you know, in a lot of ways
they're kind of like selfies. But they're
501
00:38:15,586 --> 00:38:19,230
not really selfies, because when I
photographed these things ... So let's go
502
00:38:19,230 --> 00:38:23,150
back to this for now. So, you know, when
I'm photographing this, I mean, I could
503
00:38:23,150 --> 00:38:26,680
have taken the camera and I could
have photographed you right now. But
504
00:38:26,680 --> 00:38:29,680
instead there's this very anonymous
looking thing. I mean, like, you know, if
505
00:38:29,680 --> 00:38:32,730
you've been in this room,
you know, that this could, we
506
00:38:32,730 --> 00:38:36,790
know where that is. But in the same way,
there's these like really like, you know,
507
00:38:36,790 --> 00:38:41,010
so the camera is not pointing towards me.
But the camera is pointing outward. And
508
00:38:41,010 --> 00:38:43,010
that's what's really important here. And
there's thousands and thousands and
509
00:38:43,010 --> 00:38:47,687
thousands of these. I know. So the
selfies, it's become a common thing. And
510
00:38:47,687 --> 00:38:53,220
it's no shame in, you know, saying
you like the selfies. I mean, here's
511
00:38:53,220 --> 00:38:57,150
President Obama trying to make the look
at selfie stick and selfies look pretty
512
00:38:57,150 --> 00:39:02,425
respectable. I can't use the new guy.
I can't just bear to see him. So I
513
00:39:02,425 --> 00:39:05,716
have to go with this guy. I have to go
with Obama. Because, you know, it's
514
00:39:05,716 --> 00:39:09,850
important. But, you know, he's making
that, so when he's taken that image, what
515
00:39:09,850 --> 00:39:13,721
happens? Now when you look at the
image, this is what, this is the image
516
00:39:13,721 --> 00:39:16,950
that we're seeing. That's, that's up on my
website right now. And as soon as I leave
517
00:39:16,950 --> 00:39:20,020
this room, there'll be a new image that'll
pop up and then when I get to my hotel,
518
00:39:20,020 --> 00:39:23,860
you'll see another image. And then when I
get to, you know, wherever I go eat
519
00:39:23,860 --> 00:39:27,540
tonight, you'll see another image. But
anyway, so, you know, every few moments I
520
00:39:27,540 --> 00:39:31,600
timestamp to change it. So when we're
seeing this image, but really this is what
521
00:39:31,600 --> 00:39:34,740
the, this is what the computer is seeing.
And this ... Some of you, and I'm sure
522
00:39:34,740 --> 00:39:38,480
you know about this, but for those that
are not aware of it, I mean, you know,
523
00:39:38,480 --> 00:39:42,930
when you look at the Exif data – I use [unclear]
which is an Exif reader to extract what
524
00:39:42,930 --> 00:39:46,780
my images are or what the data that's
behind it – so you can see what the image
525
00:39:46,780 --> 00:39:51,220
is. That was shot right there, in that
location. I mean, we know that because
526
00:39:51,220 --> 00:39:55,880
that's how our apps know. Would you like
to check in from here? That's how it knows
527
00:39:55,880 --> 00:39:59,240
the location. So location services,
that's pretty simple. And that's all the,
528
00:39:59,240 --> 00:40:01,620
the metadata that's going ... But the
here it's where it gets really
529
00:40:01,620 --> 00:40:06,620
interesting. The fact that when you
look at the altitude of this image,
530
00:40:06,620 --> 00:40:14,010
the altitude is 186.061643, sounds about
right for Leipzig? For this area, 186
531
00:40:14,010 --> 00:40:19,530
meters of altitude? Yes? No? I mean, I'm
assuming it's correct because that's what
532
00:40:19,530 --> 00:40:22,431
the phone is telling me. But similarly,
what's really interesting is, when you
533
00:40:22,431 --> 00:40:27,500
look at the image direction. So, I mean,
we know the latitude, longitude, that's a
534
00:40:27,500 --> 00:40:31,270
given. The altitude, that's a new one.
Because an image taken on the ground, sea
535
00:40:31,270 --> 00:40:36,000
level, on the ground level will look very
different than an image shot on the 20th
536
00:40:36,000 --> 00:40:40,760
or 30th floor of a building. Because the
barometric sensor inside the phone will
537
00:40:40,760 --> 00:40:44,580
put a different altitude number in there.
So we know, that this image can also,
538
00:40:44,580 --> 00:40:49,620
if I were to shoot this image from the
roof looking down, that image probably
539
00:40:49,620 --> 00:40:57,760
will be about a 188, 189, 190 meters.
Because of the distance of this. The other
540
00:40:57,760 --> 00:41:03,000
part, that's really interesting, is the
image direction. The camera was tilted at
541
00:41:03,000 --> 00:41:12,390
a 163 degrees from North. 0 being North,
90 East, 180 South, 270 West. So slightly
542
00:41:12,390 --> 00:41:16,680
south. The camera was pointed slightly
south-ish. Which is exactly what that
543
00:41:16,680 --> 00:41:23,120
camera's pointed. Now, why does this
matter? It was only a few years ago that
544
00:41:23,120 --> 00:41:27,470
we were thinking: "You mean, Google is
going to drive up and down every single
545
00:41:27,470 --> 00:41:34,780
road and record every single street?"
Yes, basically the only thing, that's
546
00:41:34,780 --> 00:41:39,000
holding them back in certain places, is
the country's laws or the local things.
547
00:41:39,000 --> 00:41:43,470
Aside from that, not only they drive up
and down every single road in every single
548
00:41:43,470 --> 00:41:47,620
city in every single country that they
can. They do this repeatedly, year after
549
00:41:47,620 --> 00:41:51,540
year, after year, after year, after year.
Some places they'll put, you know, like
550
00:41:51,540 --> 00:41:55,101
in Venice, they'll have like someone on a
boat that goes through. On certain
551
00:41:55,101 --> 00:41:58,450
pedestrian-only islands, there'll be
someone carrying a backpack of those
552
00:41:58,450 --> 00:42:03,040
Google cameras around. So it wasn't that
long ago that this concept, that Google
553
00:42:03,040 --> 00:42:11,120
would catalog every possible outdoor
space was seemed so far-fetched. It's only
554
00:42:11,120 --> 00:42:18,090
a matter of time before we collectively
photograph every indoor space and we
555
00:42:18,090 --> 00:42:23,350
catalog every single indoor space and we
photograph all of it. And sooner or
556
00:42:23,350 --> 00:42:28,190
later, this database, we, through this
database of every indoor image with all
557
00:42:28,190 --> 00:42:32,800
the metadata, we can restitch every
interior space. We could recreate every
558
00:42:32,800 --> 00:42:35,850
interior space. Similarly, you know, then,
you know, when you look at your frequent
559
00:42:35,850 --> 00:42:38,390
locations. I mean, you know, do you look
at me that's like, you know, exactly what
560
00:42:38,390 --> 00:42:42,360
moment you've come on, what minute you
walked into a place, what minute you've
561
00:42:42,360 --> 00:42:47,860
walked out of a place. I mean, you know,
how does your phone know that you've
562
00:42:47,860 --> 00:42:53,650
taken, you know, 8934 steps today? I
mean, it's counting every single one of
563
00:42:53,650 --> 00:42:57,050
them. It knows, you went three, you
know it, you've done five flights
564
00:42:57,050 --> 00:43:01,039
today, because it knows that your altitude
changed from here to here to here. And it
565
00:43:01,039 --> 00:43:06,050
knows every second you've done all
this. I mean, this is kind of crazy. So,
566
00:43:06,050 --> 00:43:09,390
you cross-reference all of this
data. I mean, and short of basically
567
00:43:09,390 --> 00:43:13,878
giving up our phones. I mean, this data
is being collected and it's gonna happen.
568
00:43:13,878 --> 00:43:19,570
It's going to get archived. I mean, you
know, there's plenty of, you
569
00:43:19,570 --> 00:43:24,350
know, but at these... that these phones
are just like, it's inevitable. And we're
570
00:43:24,350 --> 00:43:27,970
not going to give up our lives without
them. So you cross-reference all of
571
00:43:27,970 --> 00:43:33,390
these. And very quickly it creates
a complete picture of the owner of that
572
00:43:33,390 --> 00:43:38,470
device. Now back in the old days, you
know, you'd have to, you know, the
573
00:43:38,470 --> 00:43:41,955
intelligence agencies would waste all of
this energy or follow people around. I
574
00:43:41,955 --> 00:43:46,140
mean, you know, it wasn't that long ago.
It happened right here. I mean, you'd have
575
00:43:46,140 --> 00:43:49,092
people following other people around.
You'd have databases. And you have
576
00:43:49,092 --> 00:43:54,310
archives on other archives. This record-
keeping, this massive amount of analog
577
00:43:54,310 --> 00:43:58,930
record-keeping, was not, this is
not far-fetched. This happened very
578
00:43:58,930 --> 00:44:04,180
recently. Now, why should they
go around, do that today, when they can
579
00:44:04,180 --> 00:44:07,030
just go to one of the companies and say:
"Hey. You don't want you give it to us?"
580
00:44:07,030 --> 00:44:11,020
Now we know, you know, of course here's,
you know, Tim Cook saying: "No, no, we
581
00:44:11,020 --> 00:44:15,257
don't, we don't give our information to
the NSA, we don't do that." We know a
582
00:44:15,257 --> 00:44:18,800
little differently, you know, I mean,
remember these? These are from Snowden. I
583
00:44:18,800 --> 00:44:23,520
mean, this is obvious. Look, it doesn't
say, when we ... well, it does not say,
584
00:44:23,520 --> 00:44:28,060
when the NSA intercepted each of these
dates, when prism collection began for
585
00:44:28,060 --> 00:44:32,660
each provider. They're being called
providers here. The reason they're being
586
00:44:32,660 --> 00:44:36,450
called providers is, because these are the
companies, that are providing the
587
00:44:36,450 --> 00:44:42,760
information to the NSA. So while Tim Cook
can say that he doesn't, you know, well,
588
00:44:42,760 --> 00:44:47,680
while he can say, well, he can say all he
wants about he doesn't, you know, that
589
00:44:47,680 --> 00:44:52,330
they don't involve themselves, we
know otherwise. This is proof. So, you
590
00:44:52,330 --> 00:44:57,270
know, so my whole thing is like, hey, you
know, if the tech companies, if these
591
00:44:57,270 --> 00:45:01,020
organisa..., if these large multinational
tech companies can provide this
592
00:45:01,020 --> 00:45:03,820
information, why can't we do this for
ourselves? Why can't we just put this out
593
00:45:03,820 --> 00:45:07,510
there? And what and why not just put
everything out there, whether it's
594
00:45:07,510 --> 00:45:13,080
relevant or not? And why not just mud up
the whole system? So, you know, I'm
595
00:45:13,080 --> 00:45:16,520
really interested in this idea of like
creating our own archives. Do you know
596
00:45:16,520 --> 00:45:20,110
this building? This is the AT&T data
center in San Francisco at the corner of
597
00:45:20,110 --> 00:45:23,481
2nd and Folsom. This is a project that
they call Hawkeye, which is actually
598
00:45:23,481 --> 00:45:30,310
AT&T's internal code name for this data
center. And shortly before 2007, about a
599
00:45:30,310 --> 00:45:35,200
little over 10 years ago, there were,
there was a whistleblower though, that
600
00:45:35,200 --> 00:45:41,970
came forward. It was in room 641a of this
building, which... Basically, what
601
00:45:41,970 --> 00:45:46,050
happened is: The NSA approached 16 telecom
companies in the US and said: "We'd like
602
00:45:46,050 --> 00:45:51,820
to copy your data stream." And 15 of the
16 said: "Sure, help yourself, you know,
603
00:45:51,820 --> 00:45:55,265
make yourself at home." There's only one
company, that said: "You know. We're not
604
00:45:55,265 --> 00:45:59,220
really sure the legalities of this. Can
you come back with a warrant and tell us
605
00:45:59,220 --> 00:46:03,070
what you're looking for? And we
will provide it to you, if you can tell
606
00:46:03,070 --> 00:46:08,810
us what you want." But you know, you
had, you had 15 of the 16 just say:
607
00:46:08,810 --> 00:46:14,221
"Yeah, go ahead." So what basically, what
happened in, in 2007, not like, who
608
00:46:14,221 --> 00:46:21,710
knows, what it is now. But in 2007 it was
estimated, that there was 213 terabytes
609
00:46:21,710 --> 00:46:29,830
of phone records in this building. Every
phone record of every domestic call in the
610
00:46:29,830 --> 00:46:35,070
US was archived. And then of course
there's multiple data centers. This is
611
00:46:35,070 --> 00:46:39,330
just one of many. Now who does that phone
call belong to? You know, when you're
612
00:46:39,330 --> 00:46:42,740
calling grandma. Does that phone call,
does that information and that phone
613
00:46:42,740 --> 00:46:47,090
call, does that belong to you? Does that
belong to Grandma? Or does that belong to
614
00:46:47,090 --> 00:46:51,839
the phone company and they're licensing
you a one-time use of it? We don't, I
615
00:46:51,839 --> 00:46:55,650
mean again with this... Who
actually owns this data? So I was really
616
00:46:55,650 --> 00:46:59,260
interested in this and keeping it record.
So, I know, you know, while AT&T's
617
00:46:59,260 --> 00:47:03,450
keeping records, which is my
mobile phone provider in the US.
618
00:47:03,450 --> 00:47:07,330
Similarly, I'm keeping my own records.
And this is all my, this is my log files
619
00:47:07,330 --> 00:47:11,490
of all the people that come by on my
website. And you can see all of the folks.
620
00:47:11,490 --> 00:47:15,480
Let me show you a little bit cleaner
version. And you can see all the
621
00:47:15,480 --> 00:47:19,490
lovely happy people, that come by, like,
the terrorist screening center of the
622
00:47:19,490 --> 00:47:24,510
Central Intelligence Agency or the, you
know, the National Geospatial-
623
00:47:24,510 --> 00:47:29,300
Intelligence Agency. I don't know why they
come by. I mean, I, I'm glad that they
624
00:47:29,300 --> 00:47:35,720
like art. I'm glad we have patrons of the
arts in, in these organizations. Because,
625
00:47:35,720 --> 00:47:38,570
you know, I mean, like, they come by
frequently enough. I'm not really sure
626
00:47:38,570 --> 00:47:42,370
what they're doing. But I'm glad, I'm
glad they like what I do. But, so, I
627
00:47:42,370 --> 00:47:47,180
really have to thank one particular
person for making my art career possible.
628
00:47:47,180 --> 00:47:51,390
And that would be Dick Cheney. Because if
it was not for Dick Cheney, I would not
629
00:47:51,390 --> 00:47:54,620
be here talking to you. None of this would
be possible without Dick Cheney. I mean,
630
00:47:54,620 --> 00:47:57,660
really, I mean, you know, he's really
responsible for a lot of things that have
631
00:47:57,660 --> 00:48:01,710
happened recently. So thank you, Dick
Cheney. If you're, if you're listening,
632
00:48:01,710 --> 00:48:05,210
which you probably are, because you know
everything and you are, you know, you have
633
00:48:05,210 --> 00:48:12,020
your people. Anyway. So a few years ago,
I said, well, about 2010 I moved to the, I
634
00:48:12,020 --> 00:48:15,490
start–, I took a job at the University of
Maryland, which is in College Park. When I
635
00:48:15,490 --> 00:48:18,140
say Maryland, most people assume we're in
Baltimore. Because that's the main city
636
00:48:18,140 --> 00:48:22,610
in Maryland. But we're actually closer to
Washington DC. So you can see, so there's
637
00:48:22,610 --> 00:48:28,025
College Park, that's, that's where I work.
This is the FBI headquarters. This is the
638
00:48:28,025 --> 00:48:34,740
CIA. This is the NSA. You triangulate the
three, it ends up on my campus. So it's
639
00:48:34,740 --> 00:48:37,170
only appropriate, you know, it's, and
plus, you know, we have this budget
640
00:48:37,170 --> 00:48:40,585
problem in the US right now. So I'm,
like, helping them out. It's like, you
641
00:48:40,585 --> 00:48:43,340
know: "Guys, can I help you, guys? Can I
help you out by moving in like right next
642
00:48:43,340 --> 00:48:47,360
to you, so you don't have to waste your
resources?" By the way, vice.com ranked
643
00:48:47,360 --> 00:48:51,376
us "The Most Militarized University In
America". We're number one. And then
644
00:48:51,376 --> 00:48:53,745
we're not number one at football or
anything. It takes a while for that sort
645
00:48:53,745 --> 00:48:57,483
of stuff. But most militarized, that's
pretty easy. We can do that. Let me show
646
00:48:57,483 --> 00:49:00,490
you a little bit about ... So it's an
amazing place. DC is, Washington DC is a
647
00:49:00,490 --> 00:49:05,669
great place to be. Problem is, real estate
is really, really, really expensive. Like
648
00:49:05,669 --> 00:49:08,830
housing is really, you know, it's a
company town. I mean, like, why else would
649
00:49:08,830 --> 00:49:12,537
you need to live there unless, you know,
you're working in government? So while,
650
00:49:12,537 --> 00:49:15,550
you know, real estate prices in other
parts of the country go up and down,
651
00:49:15,550 --> 00:49:19,080
Washington just keeps going up and up and
up and up and up. So, you know, it's been
652
00:49:19,080 --> 00:49:23,360
good. But then I found this piece of land
in St. Michael's. Now if you look over
653
00:49:23,360 --> 00:49:27,620
here, it says, the average listing price
in the zip code, which is the, the postal
654
00:49:27,620 --> 00:49:33,970
code in that area, is 797303 dollars. This
was back in 2010. You know, 800000
655
00:49:33,970 --> 00:49:38,840
dollars at that time average. And then I
found this piece of land for only 74000
656
00:49:38,840 --> 00:49:43,040
bucks. I was like: "I want this. I want
this. I want this. I'm gonna ..." I know,
657
00:49:43,040 --> 00:49:45,920
it's like I need to do something. And
it's about an hour and a half away from
658
00:49:45,920 --> 00:49:49,320
work, which is a bit ... But, you know,
it's possible. Anyway, so this is where
659
00:49:49,320 --> 00:49:53,200
the house is over there. It goes
further up. So it's a piece of land, it's a
660
00:49:53,200 --> 00:49:56,210
beautiful place. I mean, you see the
nature and all that. It's that weird
661
00:49:56,210 --> 00:50:00,280
oblong shape over there. You see that
little driveway with the nice trees and
662
00:50:00,280 --> 00:50:03,410
that house in the water? That belongs to
this guy.
663
00:50:03,410 --> 00:50:06,550
slight laughter in the audience
So, and let me take you around the
664
00:50:06,550 --> 00:50:11,768
neighborhood for a little bit. So
this is, this is his gate. This is his
665
00:50:11,768 --> 00:50:17,450
driveway. He drives up this way. He
has a five car garage. Two of those
666
00:50:17,450 --> 00:50:21,700
garages go back pretty deep. This is
swimming pool. We're gonna hang out here
667
00:50:21,700 --> 00:50:25,925
over the summers, hang out, you know,
we'd gonna throw some parties. This is his
668
00:50:25,925 --> 00:50:33,882
front room. This is his kitchen. This is
where he sleeps. And this is where we're
669
00:50:33,882 --> 00:50:39,610
gonna plot world domination. We're gonna
hang out and eat yellowcake up there. So
670
00:50:39,610 --> 00:50:43,330
this is the place. I'm hoping to
build this. This is what I was trying to
671
00:50:43,330 --> 00:50:46,541
build. But the listing just kind of
disappeared. It literally just
672
00:50:46,541 --> 00:50:50,351
disappeared. And I'm convinced it's, so,
you know, it's like he kind of does that
673
00:50:50,351 --> 00:50:54,140
to people, too. I'm glad he just did it to
the listening and not to me. But, you
674
00:50:54,140 --> 00:50:57,640
know, it wasn't withdrawn, it wasn't
sold, it just like disappeared. So these
675
00:50:57,640 --> 00:51:00,230
days, it has become like this really
conceptual project, where I'm actually
676
00:51:00,230 --> 00:51:03,672
painting them. And then I'm photographing
the paintings. So this is what I'm
677
00:51:03,672 --> 00:51:07,436
actually showing. So, you know,
it's... So, okay. Here's my thing. So,
678
00:51:07,436 --> 00:51:11,204
look, here's a man, Dick Cheney, with not
only are you dealing with the former vice
679
00:51:11,204 --> 00:51:15,650
president. You're dealing with the former,
you deal with the former CEO of
680
00:51:15,650 --> 00:51:22,130
Halliburton. Like every ... This man has
every motivation to be secret. This man,
681
00:51:22,130 --> 00:51:29,760
money is no object. And yet, if I can show
you, where he sleeps and where he eats
682
00:51:29,760 --> 00:51:33,980
and where he swims, I mean, what can he
know about us? I mean, I'm completely
683
00:51:33,980 --> 00:51:37,930
self-trained in this. I'm not even, I'm
not even like, you know, I'm not even like
684
00:51:37,930 --> 00:51:42,020
that, that tech-savvy in this. I mean, I
just kind of, just like duct-tape things
685
00:51:42,020 --> 00:51:47,610
together to find things, whatever I
needed. But what do entire companies and
686
00:51:47,610 --> 00:51:53,110
corporations and countries, that really
have the motivation to dig through our
687
00:51:53,110 --> 00:51:57,690
information, what can they get about us?
So I'd like to leave you with this, that,
688
00:51:57,690 --> 00:52:01,220
you know, we really need to come up with
a different idea and a different
689
00:52:01,220 --> 00:52:06,450
interpretation and a different meaning of
what privacy in the 21st century means.
690
00:52:06,450 --> 00:52:11,540
This is no longer, we can no longer
afford to use the same definitions
691
00:52:11,540 --> 00:52:16,592
of privacy that we used 50 years ago. Or
a hundred years ago. Or 200 years ago. Or
692
00:52:16,592 --> 00:52:20,620
even just five years ago or even just last
week. We need to have a much more
693
00:52:20,620 --> 00:52:24,760
adaptive and open idea what this means to
us. And for each of us, this will mean,
694
00:52:24,760 --> 00:52:28,392
mean something differently. So I want to
leave you with that. And thank you very
695
00:52:28,392 --> 00:52:32,170
much and I'm happy to take some
questions.
696
00:52:32,170 --> 00:52:38,260
applause
Herald: Thank you, Hasan.
697
00:52:38,260 --> 00:52:43,400
Hasan: Thank you! Welcome!
Herald: It's a fantastic adventure to be
698
00:52:43,400 --> 00:52:51,450
always on the run and at the same time,
actually, yeah, they're running for you
699
00:52:51,450 --> 00:52:54,010
now.
Hasan: A little bit. They come by. You
700
00:52:54,010 --> 00:52:56,177
know, I try to be friends with them.
Herald: Yeah, that's good.
701
00:52:56,177 --> 00:52:58,740
Hasan: You know, they're not, they're
actually not that, they're not very, they
702
00:52:58,740 --> 00:53:02,230
don't like, they don't want to be friends.
They just like, they just like to watch
703
00:53:02,230 --> 00:53:06,150
from a distance.
Herald: You think that Dick Cheney will
704
00:53:06,150 --> 00:53:10,040
allow parties at your house?
Hasan: I'm trying. Yeah. We're gonna have
705
00:53:10,040 --> 00:53:11,726
a shooting range in the back
Herald: Like it's good.
706
00:53:11,726 --> 00:53:13,940
Hasan: Yeah, it'll be a lot of fun.
707
00:53:13,940 --> 00:53:16,320
Herald: I'm looking forward.
Hasan: Do you have a question?
708
00:53:16,320 --> 00:53:23,090
Q: Yeah, thanks for the talk. You
mentioned ways that you are ... kind of
709
00:53:23,090 --> 00:53:27,660
anticipated things that now we kind of
take very common. Is there any way in
710
00:53:27,660 --> 00:53:34,160
which your art practice has evolved or
responded to having a newer, younger
711
00:53:34,160 --> 00:53:38,890
generation of students year over year in
your classes, for whom Instagram or selfie
712
00:53:38,890 --> 00:53:41,520
sticks might be just second nature to
them?
713
00:53:41,520 --> 00:53:45,950
Hasan: Yeah. You know, I think it's
really interesting watching how people of
714
00:53:45,950 --> 00:53:49,710
different generations react to this.
Because, you know, I think a lot of it
715
00:53:49,710 --> 00:53:53,010
also has to do with the way we
communicate. I mean, there was a very
716
00:53:53,010 --> 00:53:56,580
specific generation that would write a
letter. And then you had a generation
717
00:53:56,580 --> 00:54:00,960
that would write, you know, that would
call. And then you have text. And then
718
00:54:00,960 --> 00:54:04,010
you have people that write you over email.
And you have people that will only text
719
00:54:04,010 --> 00:54:06,820
you. I mean, we were seeing that and
we're, and, and we're actually living in
720
00:54:06,820 --> 00:54:09,800
that right now. Because we actually deal
with certain different types of people
721
00:54:09,800 --> 00:54:13,780
that only deal with different modes of
communication. So I really think in, that
722
00:54:13,780 --> 00:54:17,300
it's ... The interesting thing is though
that time is compressed. Because we've
723
00:54:17,300 --> 00:54:21,310
only had people that communicate over
writing for hundreds of years. Then we
724
00:54:21,310 --> 00:54:26,381
would have people that only communicated
and phoned for maybe 30 to 50, maybe a
725
00:54:26,381 --> 00:54:30,120
little longer. And then, now we only have
that like in the last 5 years we've had
726
00:54:30,120 --> 00:54:33,590
this. And then now, down to like one year.
So who knows what the next method will
727
00:54:33,590 --> 00:54:38,890
be? But I really think a lot of it has to
do with this adaptation. I think a lot of
728
00:54:38,890 --> 00:54:43,180
the things really interesting is this
idea of like, like migration and, you
729
00:54:43,180 --> 00:54:47,570
know, the whole immigration topics are
some real hot topic politically right now.
730
00:54:47,570 --> 00:54:50,820
But I think we also need to think
about this from a digital perspective.
731
00:54:50,820 --> 00:54:55,240
Because, you know, we turn, we tend to use
the word digital native a lot. But we
732
00:54:55,240 --> 00:54:59,430
never actually use the word digital
immigrant. But yet that's all of us in
733
00:54:59,430 --> 00:55:03,000
some way. I mean, very few of us...
I mean there, yes, there are
734
00:55:03,000 --> 00:55:06,950
certain, there is a certain generation
that is 100% digital from day one. But
735
00:55:06,950 --> 00:55:11,360
for most of us, at least of a certain
age, we are all digital immigrants. And I
736
00:55:11,360 --> 00:55:15,520
think that, that type of shift, I think
that type of understanding of it, I think
737
00:55:15,520 --> 00:55:21,140
it has an impact and particularly
in terms of dealing with
738
00:55:21,140 --> 00:55:25,730
learning and dealing with education, you
know. At what point is it a natively
739
00:55:25,730 --> 00:55:37,580
learned skill versus a naturalised, a
migratory type of an action. So. Hopefully
740
00:55:37,580 --> 00:55:41,490
that answers that you're talking about,
yeah. Do you have another question? ...
741
00:55:41,490 --> 00:55:48,810
Yeah?
Q: Just ... have they ever asked
742
00:55:48,810 --> 00:55:51,070
you to stop?
Hasan: No, no there's no law against
743
00:55:51,070 --> 00:55:54,330
talking too much. Because if there was a
law against talking too much, we'd all be
744
00:55:54,330 --> 00:55:57,710
in trouble. But you know, but this is
interesting. Because they're very much
745
00:55:57,710 --> 00:56:04,780
about, there ... It's very much a
one-way direction. They're not about,
746
00:56:04,780 --> 00:56:08,730
they don't editorialize, they don't
provide opinion. They only take
747
00:56:08,730 --> 00:56:14,700
information. They ask you questions and
they take information. So you could answer
748
00:56:14,700 --> 00:56:20,280
them with one word or you could answer
them with millions. And I've just decided
749
00:56:20,280 --> 00:56:24,690
that I'm gonna keep talking, keep
talking to them. I'm a relatively, you
750
00:56:24,690 --> 00:56:30,190
know, I think cooperative person. I'd like
to be helpful, you know. But really, what
751
00:56:30,190 --> 00:56:34,710
it is, it's really, it's, defiance
through compliance. It's
752
00:56:34,710 --> 00:56:38,557
this level of aggressive compliance. And
at a certain point, I try to be so
753
00:56:38,557 --> 00:56:41,300
helpful, that I'm completely not
helpful at all.
754
00:56:41,300 --> 00:56:45,330
slight laughter in the audience
So thank you, thank you for the question.
755
00:56:45,330 --> 00:56:51,490
applause
Herald: Thank you very much. Is there, is
756
00:56:51,490 --> 00:56:53,450
there ... Oh, there's a question from the
internet!
757
00:56:53,450 --> 00:56:55,940
Hasan: No, oh, okay. Nobody else? Okay,
great.
758
00:56:55,940 --> 00:56:58,380
Herald: Is there an FBI agent in there to
have a drink, maybe?
759
00:56:58,380 --> 00:57:04,240
Hasan: Yeah that'd be great. Yeah yeah.
Herald: Why not? Yeah.
760
00:57:04,240 --> 00:57:07,500
Hasan: I'm sure, I'm sure there's people
from some government organization at this
761
00:57:07,500 --> 00:57:09,680
place. So, you know, let's get a drink
later together.
762
00:57:09,680 --> 00:57:12,030
Herald: Okay, let's have one. Thank you
very much!
763
00:57:12,030 --> 00:57:14,590
Hasan: See you guys. Thank you so much,
thanks.
764
00:57:14,590 --> 00:57:17,682
Herald: Don't forget to help us all to
clean this all up.
765
00:57:17,682 --> 00:57:29,960
34C3 Music
766
00:57:29,960 --> 00:57:40,292
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