WEBVTT - Will Deepfakes Ruin the World?

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<v Speaker 1>Welcome to Stuff You should know, a production of My

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<v Speaker 1>Heart Radios How Stuff Works. Hey, and welcome to the podcast.

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<v Speaker 1>I'm Josh Clark. There's Charles W. Chuck Bryant. Here's our

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<v Speaker 1>brand new producer from now on, Josh Brother, Josh, Have

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<v Speaker 1>you said your last name? Josh? We don't do that, Okay,

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<v Speaker 1>sometimes we say Jerry's Jerry quit? She really did, but

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<v Speaker 1>she did it like that, kind of like quiet, silent

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<v Speaker 1>wait for her. She just stopped showing up. Yeah, Jerry

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<v Speaker 1>didn't quit. Everyone. We don't think we're not. It's not

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<v Speaker 1>entirely certain until I see her sitting in that chair. Then,

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<v Speaker 1>assuming she's quit, what if, Chuck, she sent us a

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<v Speaker 1>video of herself saying, I quit. I'm so sick of

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<v Speaker 1>you guys. I'm done with this forever. Would you believe

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<v Speaker 1>it then, but the lips didn't quite match up, then

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<v Speaker 1>it would be a deep fake. It would be a

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<v Speaker 1>deep fake. I saw a tweet. I don't remember who

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<v Speaker 1>it was, but they were maybe Ryan Liza or somebody

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<v Speaker 1>was complaining said why do we call these things deep fakes?

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<v Speaker 1>And somebody school them on it. It was kind of

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<v Speaker 1>nice to wat who he said, Ryan Liza I think

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<v Speaker 1>he's like a CNN correspondent journalist. Uh So, first of all,

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<v Speaker 1>we want to issue a c o A here, uh

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<v Speaker 1>that maybe any kids shouldn't listen to this one. We're

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<v Speaker 1>talking about some really every day dark, harmful stuff. Yeah,

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<v Speaker 1>really despicable, gross stuff. The only thing I can think

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<v Speaker 1>of that would be worse than covering this would be

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<v Speaker 1>to to one on like snuff films. I kept thinking

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<v Speaker 1>of that while I was reading this. I don't know, man,

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<v Speaker 1>I don't want to. I don't want to pit types

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<v Speaker 1>of despicable media against one another. But um, I think

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<v Speaker 1>revenge porn might have a leg up on this, which

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<v Speaker 1>this sort of is as well. Right, it's definitely a

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<v Speaker 1>close cousin of it at least. Yeah, but this one

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<v Speaker 1>in for kids. Uh. And I was shocked and dismayed

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<v Speaker 1>because I didn't know about this, And when I saw

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<v Speaker 1>it's a podcast on fake videos, I thought, well, how fine,

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<v Speaker 1>because I love those videos of David Beckham kicking soccer

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<v Speaker 1>balls in the cans from a hundred yards out on

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<v Speaker 1>the beach. That's for real. Uh No, yeah, and it's

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<v Speaker 1>just coincidence he's holding it PEPSI can up. I saw

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<v Speaker 1>it with my own eyes. I thought that's what this

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<v Speaker 1>is about. I was like, all those are fun. It

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<v Speaker 1>is kind of but then I wanted to take a

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<v Speaker 1>bath after this. I can I can understand, So we

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<v Speaker 1>should probably start out after the CEA by saying what

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<v Speaker 1>a deep fake is? A deep fake d E E

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<v Speaker 1>p F A k E all one word is a

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<v Speaker 1>type of video where somebody is saying or doing something

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<v Speaker 1>that they never actually said or did. What you say, Okay,

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<v Speaker 1>this is nothing new. This has been around for a while,

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<v Speaker 1>Like people have doctored photos and videos and stuff like

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<v Speaker 1>that for base sically as long as there's been videos.

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<v Speaker 1>C G. I sure this is different. This is the

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<v Speaker 1>in the same ballpark, but this is an entirely different league.

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<v Speaker 1>Like this league plays on Saturday and Sunday afternoons, not

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<v Speaker 1>Tuesday night, you know what I mean. Like this is

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<v Speaker 1>something totally Just let it simmer for a little while

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<v Speaker 1>and you'll be like, wow, it's a really good analogy. Uh,

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<v Speaker 1>this is just it's different. It's it has a lot

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<v Speaker 1>of the same in principle, but because they are so

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<v Speaker 1>realistic and they're getting more and more realistic by the day,

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<v Speaker 1>they they actually in a lot of people's minds pose

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<v Speaker 1>a threat not just two individual people, as we'll see,

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<v Speaker 1>but possibly to society at large, say a lot of

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<v Speaker 1>people who are really worried about this kind of stuff. Yeah,

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<v Speaker 1>and we're not talking about I'm assuming the fake lip

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<v Speaker 1>reading thing that's deep fake, right or is that just

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<v Speaker 1>no manipulation of video whatsoever? And that's just people using

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<v Speaker 1>their voice So what that is is the Yeah, it's

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<v Speaker 1>just somebody pretend like they're just fake lip reading and

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<v Speaker 1>then doing a voiceover. They're not. They're not manipulating the

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<v Speaker 1>video at all. Okay, No, they're just doing a really

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<v Speaker 1>bad job of lip reading, which is are hysterics. They

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<v Speaker 1>are hilarious. Those I would put those up with the

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<v Speaker 1>the G I. Joe p S A S. Pork chop

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<v Speaker 1>sandwiches like those are just all time classic. Can watch

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<v Speaker 1>them anytime and still laugh. Have you ever seen the

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<v Speaker 1>G I. Joe's action figures on like the dead road Kills.

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<v Speaker 1>It's sad because it's a dead animal, but they'll be like,

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<v Speaker 1>you know, a dead squirrel in the road, and someone

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<v Speaker 1>will pose like a G. I. Joe action figure with

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<v Speaker 1>his like foot on his head. It's like it's a trophy. Yeah, game,

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<v Speaker 1>it's kind of funny. Yeah, I can see that. It's

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<v Speaker 1>let's put it this way, it's as funny as you

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<v Speaker 1>can make a picture of a dead animal and that

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<v Speaker 1>I assume got hit by a car. You hope, But

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<v Speaker 1>maybe they are like killing squirrels. Just after reading this,

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<v Speaker 1>I don't doubt anything. And it makes me hate the

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<v Speaker 1>Internet even more. All right, so let's let's get into

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<v Speaker 1>this a little bit. Okay, Chuck, calm down. We're not

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<v Speaker 1>allowed to have personal positions on these things, so this

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<v Speaker 1>is totally a neutral thing. Okay. So, um, there's this

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<v Speaker 1>really interesting Gizmoto article that that talked about the history

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<v Speaker 1>of kind of um not necessarily deep fixed but altering videos,

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<v Speaker 1>like presenting a doctored video as as reality. And apparently

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<v Speaker 1>there was a long tradition of it at the beginning

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<v Speaker 1>of cinema where people got their news from newsreels, like

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<v Speaker 1>you actually go to a movie theater to see the

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<v Speaker 1>news because you were just a early twentieth century yokel

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<v Speaker 1>living in Kansas or something like that. Yeah, And after

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<v Speaker 1>reading this bit, I thought that was a very Gizmoto

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<v Speaker 1>way to say, here's one not so interesting fact that

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<v Speaker 1>really has not much to do with this. Oh I

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<v Speaker 1>love it really. I personally selected it and put it

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<v Speaker 1>in here, and I thought it was kind of funny.

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<v Speaker 1>I think it's great. Uh yeah, they used to fake,

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<v Speaker 1>uh real life events and recreate them. Don't try to backpedal.

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<v Speaker 1>And that has nothing to do with deep it does

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<v Speaker 1>because one of the big problems are threats from deep

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<v Speaker 1>deep fakes is it's a way of seeing what you

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<v Speaker 1>think is news, but it's not. It's it's a sham.

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<v Speaker 1>It's recreated. Yeah. The difference I see is they were

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<v Speaker 1>recreating real news events and just like here, you didn't

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<v Speaker 1>see it. So this is what it may have looked like,

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<v Speaker 1>but they were passing it off as real. Therein lies

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<v Speaker 1>the tragedy of all times. I thought it was a

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<v Speaker 1>very thin GIZMOTOI whatever, we'll edit this part out Webster's

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<v Speaker 1>defined deep fake. I like it. I put it in

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<v Speaker 1>there specifically because I thought it was good. That's all right, Okay,

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<v Speaker 1>so we'll take another tech Okay, why don't we just

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<v Speaker 1>talk about deep fakes, So Chuck, let's talk about deep fakes.

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<v Speaker 1>We can just cut there. So deep fakes actually are

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<v Speaker 1>super new. Yeah, they and the reason they're called deep fakes.

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<v Speaker 1>Is because in late two thousand seventeen, I think November,

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<v Speaker 1>this guy who was a reditor, a guy who posts

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<v Speaker 1>on Reddit at your first sign warning sign not necessarily read.

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<v Speaker 1>It's pretty sharp and smart and got some good ideas

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<v Speaker 1>going on as as of all the social media platforms

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<v Speaker 1>that throw my two cents in with Reddit, but there

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<v Speaker 1>was a redditor called deep fake d E E P

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<v Speaker 1>F A K E all one word and he said, hey, world,

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<v Speaker 1>look at what I figured out how to do. And

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<v Speaker 1>he started posting pornography but with celebrities faces transposed on it,

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<v Speaker 1>and he said, this is just my hobby, but here's

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<v Speaker 1>how I did it. And he said that he used,

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<v Speaker 1>I'm assuming it's a him. I don't know if it's

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<v Speaker 1>a man or a woman. I'm gonna go with a man.

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<v Speaker 1>UM and he said, I just used Keras and TensorFlow.

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<v Speaker 1>And these are a couple of UM basically open source

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<v Speaker 1>AI programs that this this guy was smart enough to

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<v Speaker 1>figure out how to use to train to create UM

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<v Speaker 1>these videos where you take a celebrity's face and put

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<v Speaker 1>it on a clip from a porn movie and it

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<v Speaker 1>looks like the celebrity is doing what you're seeing. And

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<v Speaker 1>at first it was kind of hokey and not very

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<v Speaker 1>it was very obviously not real. Yeah, I think the

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<v Speaker 1>scary part was how quickly and easily it could be done. Motherboard,

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<v Speaker 1>who we we used to write for every now and then.

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<v Speaker 1>Remember that I tried to forget. They tried to forget

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<v Speaker 1>for sure. Yeah, if I hit us up, what like,

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<v Speaker 1>I feel like seven or eight years ago, I'm trying

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<v Speaker 1>to forget and you're making it really hard. Said you

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<v Speaker 1>guys want to write some blogs for Motherboard. He said, sure,

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<v Speaker 1>so we did. We did. We wrote ten. Yeah, you

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<v Speaker 1>can probably go find those on the internet if you

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<v Speaker 1>want to learn how to they drive a stick shift

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<v Speaker 1>or something. The fine people that motherboards scrubbed those from

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<v Speaker 1>the internet, let's hope. So so Uh, this deep fake

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<v Speaker 1>character figures this out. Another guy released a downloadable desktop

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<v Speaker 1>software that said here, you can do this awful thing too. Right,

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<v Speaker 1>within like two months of of deep Fake coming out

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<v Speaker 1>and saying look what I did and here's how I

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<v Speaker 1>did it, somebody said that's a really good idea. I'm

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<v Speaker 1>going to turn it into an app and make it

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<v Speaker 1>give it to everybody. That's right, And now, uh, people.

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<v Speaker 1>Can you know at this time, this was a very

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<v Speaker 1>short time ago, people, and it's really come a long

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<v Speaker 1>way in the past whatever, not even two years, because

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<v Speaker 1>there's a late right early two eighteen when it really

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<v Speaker 1>first popped up. Yeah. So this thing was downloaded a

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<v Speaker 1>hundred thousand times in the first month alone, and some

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<v Speaker 1>people used it for fun stuff, like uh, putting Nick

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<v Speaker 1>Cage in movies he wasn't in. Yeah, those are called

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<v Speaker 1>dirt fakes. Yeah, they've all got fun names, don't they. Dude.

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<v Speaker 1>Nicholas Cages Yoda is patently objectively hilarious. I didn't like

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<v Speaker 1>that one. I thought the I don't know, the rages

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<v Speaker 1>of all stark thing was interesting, I guess, but none

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<v Speaker 1>of them made me laugh. Like maybe I just don't

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<v Speaker 1>have that kind of sense of humor. Yeah, but yeah,

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<v Speaker 1>I did. Never was like, oh my god, that's hysterical.

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<v Speaker 1>It's Nick Cage's face. I understand. I understand where you

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<v Speaker 1>come from. I don't think I was, like, you know,

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<v Speaker 1>in stitches or anything like that. But it's pretty great. Okay, Okay,

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<v Speaker 1>it's just not my thing. You're not a Gizmoto reader,

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<v Speaker 1>are you. No, none of this is my thing. But

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<v Speaker 1>that doesn't mean we can't report on it. However, since

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<v Speaker 1>it started happening that it became pretty clear pretty quickly

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<v Speaker 1>that this could be a bad thing in the future,

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<v Speaker 1>and not just for putting your ex girlfriend's face on

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<v Speaker 1>a sex video, you know, saying look what she did.

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<v Speaker 1>It could you could put a world leader up there

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<v Speaker 1>and uh really cause a lot of problems. Yes, hypothetically

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<v Speaker 1>you could. And that's that's really as we'll see this,

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<v Speaker 1>this new technology, this deep fake technology, it poses at

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<v Speaker 1>least two risks to immediately obvious risks, and they're hyper

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<v Speaker 1>individualized and hyper macro social. That's risks, but they both

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<v Speaker 1>stem from the same thing, from the same route or

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<v Speaker 1>same seat. To keep the metaphor going and on track,

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<v Speaker 1>that's so, let's talk about the technology behind this, because

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<v Speaker 1>this stuff is just totally fascinating. Surely you agree it

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<v Speaker 1>is AI. It was created by a guy named Ian Goodfellow,

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<v Speaker 1>just this particular type of AI. He didn't make the

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<v Speaker 1>deep fake stuff, no, no, no. But basically what this

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<v Speaker 1>model you know, everyone knows AI is basically when you

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<v Speaker 1>teach a machine to start teaching itself, starts learning on

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<v Speaker 1>its own, which is a little creepy. Um. But the

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<v Speaker 1>model that they're using these days is called artificial neural

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<v Speaker 1>net which is uh, machine learning. And basically what they've

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<v Speaker 1>done in this case is all you have to do

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<v Speaker 1>is show something a lot of data for it to

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<v Speaker 1>start to be able to recognize that data when you

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<v Speaker 1>aren't showing it that data. Yeah, and it learns on

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<v Speaker 1>its own. What makes the classic example is um AI

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<v Speaker 1>that can pick out pictures of cats, and it's easy enough,

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<v Speaker 1>but you don't tell the AI, here's what a cat is.

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<v Speaker 1>Find pictures of cats in this data set. It's here's

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<v Speaker 1>a bunch of stuff, and figure out what a cat is,

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<v Speaker 1>and they get really good at picking it out. You

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<v Speaker 1>can also turn it the opposite way, once you have

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<v Speaker 1>an AI trained on identifying cats and get it to

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<v Speaker 1>produce pictures of cats, but they're usually terrible and often

0:12:17.360 --> 0:12:20.160
<v Speaker 1>very very bizarre, like anyone would look at it and

0:12:20.200 --> 0:12:22.840
<v Speaker 1>be like a human didn't make this. It's just off

0:12:23.000 --> 0:12:27.080
<v Speaker 1>in some really obvious ways. And what you and Goodfellow

0:12:27.120 --> 0:12:31.199
<v Speaker 1>figured out was a way around that problem. Yeah. So, uh,

0:12:31.360 --> 0:12:34.160
<v Speaker 1>I'm not sure I agree with his wording here, um,

0:12:34.360 --> 0:12:36.680
<v Speaker 1>but we'll we'll say what he calls it, uh, he

0:12:36.880 --> 0:12:40.560
<v Speaker 1>set up two teams and one is a generator and

0:12:40.600 --> 0:12:45.880
<v Speaker 1>one is a discriminator, and he calls it generative adversarial network.

0:12:46.040 --> 0:12:49.400
<v Speaker 1>So basically his contention is that these two are adversarial.

0:12:49.840 --> 0:12:57.040
<v Speaker 1>I saw it more as like a managerial in nature. Okay, bureaucratic, Yeah,

0:12:57.120 --> 0:12:58.720
<v Speaker 1>I mean, isn't that what it felt like you or

0:12:59.000 --> 0:13:02.480
<v Speaker 1>the the scriminer is like, yeah, I'm gonna need you

0:13:02.520 --> 0:13:05.439
<v Speaker 1>to come in on Saturdays. It kind of felt like,

0:13:05.800 --> 0:13:08.000
<v Speaker 1>So you've got these two networks and they're both trained

0:13:08.040 --> 0:13:10.520
<v Speaker 1>on the same data set, but the generator is the

0:13:10.559 --> 0:13:15.040
<v Speaker 1>one that's producing these fake cats, and then there's a

0:13:15.120 --> 0:13:18.360
<v Speaker 1>discriminator or what I like to call a manager saying

0:13:18.760 --> 0:13:21.280
<v Speaker 1>these look good. These don't look so good? Right. The

0:13:21.280 --> 0:13:23.600
<v Speaker 1>other way, the way that good Fellow has proposed it,

0:13:23.679 --> 0:13:27.360
<v Speaker 1>is that the discriminator is going through and looking at

0:13:27.400 --> 0:13:31.240
<v Speaker 1>these generated pictures and trying to figure out if it's

0:13:31.320 --> 0:13:33.640
<v Speaker 1>real or if it's from the data, or if it's

0:13:33.679 --> 0:13:37.439
<v Speaker 1>fake the generator created it, or if the or if

0:13:37.440 --> 0:13:40.600
<v Speaker 1>it comes from the data set, And based on the

0:13:40.679 --> 0:13:45.000
<v Speaker 1>feedback that the manager gives the generator um the generator

0:13:45.040 --> 0:13:47.160
<v Speaker 1>is going to adjust as parameters so that it gets

0:13:47.240 --> 0:13:52.160
<v Speaker 1>better and better at putting out more realistic pictures of cats. Yeah.

0:13:52.160 --> 0:13:54.320
<v Speaker 1>I don't get the adversarial part unless it gets mean

0:13:54.559 --> 0:13:57.000
<v Speaker 1>and how it delivers that message the way the reason

0:13:57.040 --> 0:14:00.840
<v Speaker 1>they call it ever sincere is I saw it, but like, um,

0:14:00.880 --> 0:14:05.880
<v Speaker 1>it's like an art forger and detective and the art

0:14:05.880 --> 0:14:08.679
<v Speaker 1>forgers putting out or an appraiser is a better way

0:14:08.720 --> 0:14:11.199
<v Speaker 1>to put it. No art forgers putting out forged art,

0:14:11.280 --> 0:14:13.040
<v Speaker 1>and the appraisers like this is fake, this is fake,

0:14:13.120 --> 0:14:15.440
<v Speaker 1>this is fake. Well, I'm not sure about this one.

0:14:16.559 --> 0:14:18.760
<v Speaker 1>I don't know if this one is fake. This is real,

0:14:18.960 --> 0:14:21.160
<v Speaker 1>this is real, this is real. And then at that point,

0:14:21.360 --> 0:14:26.120
<v Speaker 1>the generator has become adept at fooling an AI that's

0:14:26.120 --> 0:14:29.360
<v Speaker 1>trained to identify pictures of cats creating pictures of cats

0:14:29.400 --> 0:14:34.160
<v Speaker 1>that don't exist. Okay, it's adversarial. They're trying, the generators

0:14:34.160 --> 0:14:38.200
<v Speaker 1>trying to fool the discriminator, and the discriminators trying to

0:14:38.240 --> 0:14:41.240
<v Speaker 1>thwart the generator. That's the adversarial part. But in the

0:14:41.320 --> 0:14:44.280
<v Speaker 1>end they're really on the same team. Yeah, okay, I

0:14:44.320 --> 0:14:46.360
<v Speaker 1>guess that's where it loses me. You have a really

0:14:46.400 --> 0:14:50.680
<v Speaker 1>positive image of corporate America. What is that the two

0:14:50.680 --> 0:14:54.200
<v Speaker 1>with anything. The managers on the same team as everybody.

0:14:54.200 --> 0:14:56.960
<v Speaker 1>Come on, get on board, Get on the trolley, Josh. So,

0:14:57.200 --> 0:15:00.200
<v Speaker 1>if you want to look up Mona Lisa talking, there

0:15:00.200 --> 0:15:03.520
<v Speaker 1>was a video this year from Samsung that showed how

0:15:03.640 --> 0:15:07.360
<v Speaker 1>you could do this, and all the stuff is on YouTube.

0:15:07.360 --> 0:15:09.920
<v Speaker 1>If you want to see Nick Cage as Indiana Jones,

0:15:10.040 --> 0:15:13.760
<v Speaker 1>which is pretty funny, or Yoda, which is hilarious, or

0:15:13.800 --> 0:15:16.560
<v Speaker 1>if you want to see Mona Lisa talking, it looks

0:15:16.640 --> 0:15:19.640
<v Speaker 1>it looks fairly realistic, like hey, they brought that painting

0:15:19.640 --> 0:15:22.200
<v Speaker 1>to life, right yeah, yeah, And if you scroll down

0:15:22.240 --> 0:15:24.360
<v Speaker 1>a little bit, they did one with Marilyn Monro too,

0:15:24.840 --> 0:15:28.440
<v Speaker 1>they brought her to life. He did interesting. Well, I

0:15:28.440 --> 0:15:33.840
<v Speaker 1>mean this is like just set up for for TV commercials. Yes,

0:15:33.880 --> 0:15:36.400
<v Speaker 1>they've already done stuff like this, right, This is like

0:15:36.440 --> 0:15:40.480
<v Speaker 1>fredis Stared dancing with a dirt devil or whatever that was.

0:15:40.640 --> 0:15:45.920
<v Speaker 1>What this could bring is creating entirely new movies and

0:15:45.960 --> 0:15:49.400
<v Speaker 1>bringing back dead actors and actresses or I guess as

0:15:49.440 --> 0:15:53.080
<v Speaker 1>actors now these days. Right, Uh well, I mean you've

0:15:53.080 --> 0:15:54.960
<v Speaker 1>seen some of them. Are you talking about the the

0:15:55.040 --> 0:15:59.320
<v Speaker 1>aging people are just creating, like bringing back someone that's

0:15:59.360 --> 0:16:02.040
<v Speaker 1>been long dead. No, No, I'm saying like you call

0:16:02.160 --> 0:16:04.920
<v Speaker 1>actors and actresses just actors these days. Oh that part.

0:16:05.720 --> 0:16:09.560
<v Speaker 1>Uh you can do whatever you want, okay, Uh, motion

0:16:09.600 --> 0:16:13.440
<v Speaker 1>picture performers, maybe even television performers, but bringing them back

0:16:13.480 --> 0:16:16.400
<v Speaker 1>and giving them like they could star in an entirely

0:16:17.680 --> 0:16:21.080
<v Speaker 1>because it's so realistic in life. Yeah. Um, they're not

0:16:21.120 --> 0:16:23.920
<v Speaker 1>at that point yet because they're just now getting to

0:16:24.000 --> 0:16:28.240
<v Speaker 1>where the d aging looks decent depending on who it is. Uh,

0:16:28.280 --> 0:16:32.920
<v Speaker 1>Like the Sam Jackson stuff and Captain Marvel, Uh, my

0:16:32.960 --> 0:16:36.040
<v Speaker 1>friend looked pretty good. It looked amazing. Yeah. And this

0:16:36.160 --> 0:16:39.080
<v Speaker 1>Will Smith stuff in this new angry movie looks really good.

0:16:39.240 --> 0:16:42.920
<v Speaker 1>What's that one? He's an angry movie where he plays

0:16:42.960 --> 0:16:48.640
<v Speaker 1>a some sort of assassin that uh Aladdin? Yeah, that's it.

0:16:49.040 --> 0:16:51.720
<v Speaker 1>Have you seen that? It was good? No? I have

0:16:51.760 --> 0:16:55.680
<v Speaker 1>no interest, um to go back and kill with the

0:16:55.760 --> 0:16:57.480
<v Speaker 1>younger version of himself or the young ones trying to

0:16:57.560 --> 0:16:59.040
<v Speaker 1>kill the older one. Is what it is. Man. It's

0:16:59.040 --> 0:17:02.760
<v Speaker 1>a lot like Looper, uh sort of, but it looks

0:17:02.760 --> 0:17:06.600
<v Speaker 1>pretty good. Like it looks like young Will Smith. Slightly uncanny,

0:17:07.040 --> 0:17:08.879
<v Speaker 1>but not as bad as I think. Some people are

0:17:08.920 --> 0:17:11.200
<v Speaker 1>easier than others, like the Michael Douglas stuff and aunt

0:17:11.280 --> 0:17:14.000
<v Speaker 1>Man and the marble stuff is kind of creepy looking.

0:17:14.119 --> 0:17:16.320
<v Speaker 1>I haven't seen that. I mean I've seen parts of it,

0:17:16.359 --> 0:17:18.600
<v Speaker 1>but I didn't notice that they were d aging Michael Douglas.

0:17:18.680 --> 0:17:21.400
<v Speaker 1>They took Michael Douglas back in scenes to like the seventies.

0:17:22.040 --> 0:17:25.520
<v Speaker 1>It's just like it doesn't look great. But anyway, that's

0:17:25.520 --> 0:17:28.200
<v Speaker 1>sort of off track, um, but not really. I mean,

0:17:28.200 --> 0:17:30.240
<v Speaker 1>it's kind of similar type of stuff. I guess, no

0:17:30.320 --> 0:17:32.879
<v Speaker 1>more than that Gizmoto article to start. Yeah, that's a

0:17:32.880 --> 0:17:36.000
<v Speaker 1>good point, um, But the whole reason we should point

0:17:36.000 --> 0:17:39.960
<v Speaker 1>out that people are doing this stuff with celebrities and

0:17:40.000 --> 0:17:42.200
<v Speaker 1>stuff like that, it's just because there's more data out there.

0:17:42.440 --> 0:17:45.600
<v Speaker 1>It's a lot easier when you have a gazillion pictures

0:17:45.600 --> 0:17:49.240
<v Speaker 1>of Brad Pitt on the internet to do a fake pit. Yeah,

0:17:49.280 --> 0:17:52.560
<v Speaker 1>because the data set that the AI is trained on

0:17:52.760 --> 0:17:56.120
<v Speaker 1>is just more and more robust. And the more pictures are,

0:17:56.160 --> 0:17:59.560
<v Speaker 1>the more angles the AI has seen Brad Pitt, you know,

0:17:59.640 --> 0:18:03.560
<v Speaker 1>look round at, and so can recreate this these faces

0:18:03.640 --> 0:18:08.040
<v Speaker 1>because the AI seem like every possible pose or expression

0:18:08.119 --> 0:18:11.239
<v Speaker 1>or whatever Brad Pitts ever made. But the thing is

0:18:11.280 --> 0:18:14.760
<v Speaker 1>that mona Lisa and Marilyn Monroe. Thing that Samsung showed,

0:18:15.320 --> 0:18:18.960
<v Speaker 1>They showed that you could make a pretty convincing deep

0:18:19.000 --> 0:18:23.560
<v Speaker 1>fake with just one picture, one pose, right, So that's

0:18:23.560 --> 0:18:26.359
<v Speaker 1>a big deal. But again, the bigger the data set,

0:18:26.400 --> 0:18:30.040
<v Speaker 1>the better. And that's why, like you said, celebrities and

0:18:30.040 --> 0:18:35.280
<v Speaker 1>and UM world leaders were the earliest targets. But over time,

0:18:35.760 --> 0:18:38.520
<v Speaker 1>with the advent of other software and the fact that

0:18:38.560 --> 0:18:42.159
<v Speaker 1>people now post tons of stuff about themselves and pictures

0:18:42.160 --> 0:18:46.439
<v Speaker 1>of themselves on social media, um, it's become easier and

0:18:46.480 --> 0:18:51.040
<v Speaker 1>easier to make a deep fake video of anybody. There's

0:18:51.080 --> 0:18:55.199
<v Speaker 1>like holes, their software that scrapes social media accounts for

0:18:55.280 --> 0:19:00.240
<v Speaker 1>every picture and video that's been posted ants, right, um distinction, Yeah,

0:19:00.240 --> 0:19:04.320
<v Speaker 1>for sure. Um there's and then there's um other other

0:19:04.440 --> 0:19:07.960
<v Speaker 1>sites and other apps that say, oh this this picture

0:19:07.960 --> 0:19:10.879
<v Speaker 1>of this person. You're targeting, your your classmate or whatever.

0:19:11.480 --> 0:19:14.640
<v Speaker 1>They probably have a pretty good match with this porn star,

0:19:14.760 --> 0:19:17.159
<v Speaker 1>So go find videos of this porn star. And then

0:19:17.200 --> 0:19:18.920
<v Speaker 1>the next thing, you know, you run it through that app,

0:19:19.000 --> 0:19:21.960
<v Speaker 1>that deep fake app came out with, and you've got

0:19:21.960 --> 0:19:25.560
<v Speaker 1>yourself a deep fake video and you've officially become a

0:19:25.600 --> 0:19:28.800
<v Speaker 1>bad person. All right, that's a good place to take

0:19:28.800 --> 0:19:32.119
<v Speaker 1>a break, and uh, we'll talk more about these bad people,

0:19:32.200 --> 0:19:53.919
<v Speaker 1>right for this that's what sk as good should all right,

0:19:54.040 --> 0:19:58.359
<v Speaker 1>So you mentioned before the break, Uh, this person's face

0:19:58.520 --> 0:20:01.800
<v Speaker 1>that I just stole off the internet fits this porn

0:20:01.840 --> 0:20:06.320
<v Speaker 1>actors body, which is a it's a consideration if you're

0:20:06.359 --> 0:20:10.080
<v Speaker 1>making that, because to look right, that has to they

0:20:10.080 --> 0:20:13.160
<v Speaker 1>have to bear a passing resemblance. I think that's right. Okay,

0:20:13.520 --> 0:20:16.600
<v Speaker 1>So I was just about to say, so, yeah, So

0:20:16.680 --> 0:20:20.119
<v Speaker 1>what they're doing now is they're browsing these applications with

0:20:20.200 --> 0:20:24.040
<v Speaker 1>facial recognition software to make this a lot easier. And

0:20:24.080 --> 0:20:27.000
<v Speaker 1>that's what most of this is about, is like, let's

0:20:27.000 --> 0:20:29.640
<v Speaker 1>just see how easy we can make this and how

0:20:30.280 --> 0:20:33.440
<v Speaker 1>how much we can democratize this where any shmoke can

0:20:33.480 --> 0:20:36.560
<v Speaker 1>take any single photo and do the worst things possible

0:20:36.560 --> 0:20:41.840
<v Speaker 1>with it, but also how convincing they've become as well. Yeah,

0:20:42.000 --> 0:20:44.120
<v Speaker 1>I mean, so it's another big change. It's looking better

0:20:44.160 --> 0:20:47.800
<v Speaker 1>and better, quicker and quicker, which is pretty scary. Did

0:20:47.840 --> 0:20:50.879
<v Speaker 1>you see the Obama one. Had it not been for

0:20:51.480 --> 0:20:55.000
<v Speaker 1>had it not been for Jordan's Peel's voice obviously being

0:20:55.000 --> 0:20:57.760
<v Speaker 1>not Obama, I would have been like, Wow, this is

0:20:57.800 --> 0:21:00.800
<v Speaker 1>really convincing. Really, Yeah, see how didn't think the lips

0:21:00.840 --> 0:21:03.600
<v Speaker 1>matched up at all? Oh? I thought it looked pretty close. Yeah.

0:21:03.680 --> 0:21:06.639
<v Speaker 1>So what we're talking about is Jordan Peel did a

0:21:06.640 --> 0:21:10.240
<v Speaker 1>basically a demonstration video to raise awareness about how awful

0:21:10.280 --> 0:21:13.760
<v Speaker 1>this is by doing it himself, and did a video

0:21:13.760 --> 0:21:17.520
<v Speaker 1>of Obama like you know, referring to Trump as a

0:21:17.520 --> 0:21:21.199
<v Speaker 1>curse word, a dipstick and basically saying like, hey, this

0:21:21.280 --> 0:21:24.320
<v Speaker 1>is Obama and what you know people are doing. He

0:21:24.359 --> 0:21:28.000
<v Speaker 1>basically is describing what's happening as you're watching it. And

0:21:28.119 --> 0:21:29.919
<v Speaker 1>I thought it look kind of fake. He's describing a

0:21:29.960 --> 0:21:32.960
<v Speaker 1>deep fake through deep fake in Jordan Peel, and he

0:21:33.000 --> 0:21:35.640
<v Speaker 1>did it in conjunction with BuzzFeed and another production company.

0:21:35.880 --> 0:21:37.959
<v Speaker 1>But in their defense, they were making this in like

0:21:38.040 --> 0:21:42.080
<v Speaker 1>early two thou eighteen, like April two eighteen, and since then,

0:21:42.160 --> 0:21:45.920
<v Speaker 1>even more technologies come out that is dedicated to matching

0:21:46.480 --> 0:21:49.520
<v Speaker 1>the movement of the mouth to whatever words you want

0:21:49.520 --> 0:21:52.800
<v Speaker 1>the person to say. Yeah, and you can also like

0:21:53.119 --> 0:21:55.760
<v Speaker 1>use only parts of it, so it's even more convincing.

0:21:56.320 --> 0:21:59.920
<v Speaker 1>So like if Obama had a lead in that actually worked,

0:22:00.000 --> 0:22:02.280
<v Speaker 1>you could just keep that in there and then take

0:22:02.320 --> 0:22:05.280
<v Speaker 1>out certain words, and you can manipulate it however you

0:22:05.320 --> 0:22:07.719
<v Speaker 1>want to write, and the AI can go through and

0:22:07.760 --> 0:22:10.000
<v Speaker 1>find like phone names and stuff like that to make

0:22:10.119 --> 0:22:14.360
<v Speaker 1>the new words that the person never said. It's it's

0:22:14.359 --> 0:22:17.040
<v Speaker 1>becoming extremely easy. Let's just put it like this. It's

0:22:17.080 --> 0:22:21.359
<v Speaker 1>becoming extremely easy, and it's um widely available for anybody

0:22:21.560 --> 0:22:25.080
<v Speaker 1>to make a video of somebody doing something or saying

0:22:25.119 --> 0:22:27.840
<v Speaker 1>something that they never did or never said, and to

0:22:27.920 --> 0:22:32.960
<v Speaker 1>make it convincing enough that you may believe it at first. Yeah, which,

0:22:32.960 --> 0:22:35.760
<v Speaker 1>like we said that, you know, the obvious scariest implications

0:22:36.200 --> 0:22:40.320
<v Speaker 1>that aren't just of the personal variety are in politics,

0:22:40.920 --> 0:22:45.000
<v Speaker 1>when you could create real fake news that actually put

0:22:45.200 --> 0:22:48.159
<v Speaker 1>people in jeopardy. They were put the entire world in

0:22:48.240 --> 0:22:52.320
<v Speaker 1>jeopardy by like announcing a nuclear strike or something like that. Right, Yeah,

0:22:52.320 --> 0:22:56.320
<v Speaker 1>Marco rubio In I can't remember when it was, but um,

0:22:56.400 --> 0:22:59.200
<v Speaker 1>within the last year or two basically said that deep

0:22:59.240 --> 0:23:03.200
<v Speaker 1>fakes or the modern equivalent of a nuclear bomb, that

0:23:03.320 --> 0:23:08.359
<v Speaker 1>you could threaten America the degree with the deep fake.

0:23:08.440 --> 0:23:10.320
<v Speaker 1>I think that is a little hyperbolic for sure, And

0:23:10.400 --> 0:23:12.439
<v Speaker 1>we're not the only ones. Yeah, there are other people

0:23:12.480 --> 0:23:14.800
<v Speaker 1>that say people that know what they're talking about not

0:23:14.880 --> 0:23:19.199
<v Speaker 1>just you know, shlubs like us, but other people that say, like, hey, listen,

0:23:19.920 --> 0:23:23.200
<v Speaker 1>this is probably not like a nuclear bomb going off. Um,

0:23:23.240 --> 0:23:26.240
<v Speaker 1>we should keep our on it. But there are other

0:23:26.320 --> 0:23:28.560
<v Speaker 1>bigger fish to fry when it comes to stuff like this,

0:23:28.800 --> 0:23:30.960
<v Speaker 1>for sure. And then there are other people who are saying,

0:23:30.960 --> 0:23:34.440
<v Speaker 1>well there are that's not to discount like the real

0:23:34.600 --> 0:23:38.080
<v Speaker 1>problem it composed right, Like, we're already in a very

0:23:38.119 --> 0:23:43.000
<v Speaker 1>polarized position in this country. Um. So the idea of

0:23:43.080 --> 0:23:49.760
<v Speaker 1>having realistic, um, indistinguishable from reality videos of like world

0:23:49.880 --> 0:23:53.800
<v Speaker 1>leaders or senators or whoever saying whatever is not going

0:23:53.840 --> 0:23:56.360
<v Speaker 1>to help things at all. It's not going to bring

0:23:56.400 --> 0:23:59.240
<v Speaker 1>everyone together like look at this hilarious deep fake. It's

0:23:59.240 --> 0:24:02.040
<v Speaker 1>going to be like you look, um, and it's just

0:24:02.080 --> 0:24:05.240
<v Speaker 1>going to erode that trust that that is necessary for

0:24:05.280 --> 0:24:10.280
<v Speaker 1>a democracy to thrive. Um. And to to take into

0:24:10.359 --> 0:24:14.679
<v Speaker 1>his logical conclusion, this one researcher put it like this, like,

0:24:15.040 --> 0:24:20.600
<v Speaker 1>eventually we're going to lose our ability to agree on

0:24:20.760 --> 0:24:24.840
<v Speaker 1>what is shared objective reality. And at that point, what

0:24:24.880 --> 0:24:28.760
<v Speaker 1>we would face is what's called the death of truth,

0:24:29.440 --> 0:24:32.760
<v Speaker 1>like there is no such thing anymore. And in one

0:24:32.840 --> 0:24:35.879
<v Speaker 1>on one hand, that's horrible. It's a horrible idea, the

0:24:35.920 --> 0:24:40.080
<v Speaker 1>idea that nothing's real because there's such a thing as

0:24:40.119 --> 0:24:42.880
<v Speaker 1>deep fakes, and anybody could could make something like this.

0:24:43.640 --> 0:24:46.160
<v Speaker 1>But on the other hand, you can kind of say,

0:24:46.280 --> 0:24:50.440
<v Speaker 1>you can't engage his Yoda right exactly. On the other hand, though,

0:24:50.480 --> 0:24:53.760
<v Speaker 1>you can say, the fact that people know that deep

0:24:53.840 --> 0:24:58.119
<v Speaker 1>fakes are out there means that it's gonna be easier

0:24:58.119 --> 0:25:01.560
<v Speaker 1>and easier to be like, that'sbviously not real. It's just

0:25:01.720 --> 0:25:06.040
<v Speaker 1>too unbelievable. So it may actually make us more discriminating

0:25:06.080 --> 0:25:09.600
<v Speaker 1>and more discerning of the news than we are today. Yeah,

0:25:09.600 --> 0:25:12.560
<v Speaker 1>that's the only thing that salvaged my brain from this

0:25:12.600 --> 0:25:16.760
<v Speaker 1>track of talking about this today was like, well, we'll

0:25:16.760 --> 0:25:20.160
<v Speaker 1>go tell our listeners at least be on the lookout,

0:25:21.119 --> 0:25:24.520
<v Speaker 1>be wary, take everything with a grain of salt, because

0:25:24.560 --> 0:25:26.600
<v Speaker 1>we're already in a place where, like, you don't even

0:25:26.640 --> 0:25:29.600
<v Speaker 1>need some deep fake video like it's happened all over

0:25:29.640 --> 0:25:32.880
<v Speaker 1>the place. You can see a uh, something that's photoshopped

0:25:32.960 --> 0:25:36.159
<v Speaker 1>or a real photo that someone just writes a false

0:25:36.160 --> 0:25:38.879
<v Speaker 1>story about. Yeah, that's a good one. Um, you can

0:25:38.920 --> 0:25:40.879
<v Speaker 1>just come up with a false narrative from a picture

0:25:41.000 --> 0:25:42.600
<v Speaker 1>when there's a guy on the street and he's laying

0:25:42.600 --> 0:25:45.639
<v Speaker 1>there bleeding, and you can just say, uh, this person

0:25:45.720 --> 0:25:49.960
<v Speaker 1>was attacked yesterday by a group of angry Trumpers or

0:25:50.000 --> 0:25:54.840
<v Speaker 1>an Antifa on the other side, and it'll get passed

0:25:54.840 --> 0:25:58.120
<v Speaker 1>around twenty million times, and then the retraction gets seen

0:25:58.160 --> 0:26:02.000
<v Speaker 1>by people exactly. That's where that's not a deep fake. No,

0:26:02.200 --> 0:26:04.920
<v Speaker 1>that's just that's low hanging fruit. That's a low five fake.

0:26:05.080 --> 0:26:07.920
<v Speaker 1>Imagine inserting into that and this is what we're talking about,

0:26:07.960 --> 0:26:11.600
<v Speaker 1>into that climate like video where you're looking at the

0:26:11.640 --> 0:26:15.240
<v Speaker 1>person seeing and seeing with your own eyes what they're saying.

0:26:15.359 --> 0:26:17.280
<v Speaker 1>And a lot of people who aren't, like I thought

0:26:17.280 --> 0:26:19.640
<v Speaker 1>the Obama video looked pretty fake, you thought it looked

0:26:19.680 --> 0:26:25.080
<v Speaker 1>pretty real. Everyone's eye is different and ear is different.

0:26:25.160 --> 0:26:28.400
<v Speaker 1>Like a lot of people will believe anything they see

0:26:28.480 --> 0:26:31.199
<v Speaker 1>like this, right, And we'll we'll we'll talk about like

0:26:31.280 --> 0:26:34.720
<v Speaker 1>how to discern deep fakes in a second. But we're

0:26:34.760 --> 0:26:37.960
<v Speaker 1>getting to the point people seem to be in wide

0:26:37.960 --> 0:26:42.560
<v Speaker 1>agreement that very soon it will be up to digital

0:26:42.680 --> 0:26:47.600
<v Speaker 1>forensic scientists to determine whether a video is authentic or not.

0:26:47.680 --> 0:26:50.399
<v Speaker 1>And that's all that's because you or I will not

0:26:50.440 --> 0:26:52.560
<v Speaker 1>be able to distinguish it from reality. Yeah, and I

0:26:52.560 --> 0:26:56.239
<v Speaker 1>imagine that every country will have their own team that

0:26:56.280 --> 0:26:58.480
<v Speaker 1>will be hard at work doing that stuff, and by

0:26:58.520 --> 0:27:02.760
<v Speaker 1>will already yeah, has since at the end of two

0:27:02.760 --> 0:27:05.879
<v Speaker 1>thousand seventeen. Yeah, or at least they're scrambling to catch up.

0:27:07.080 --> 0:27:11.040
<v Speaker 1>Because when the video comes out of um, you know,

0:27:12.200 --> 0:27:14.960
<v Speaker 1>the leader of North Korea saying we want to drop

0:27:15.280 --> 0:27:18.960
<v Speaker 1>bombs on America at two o'clock this afternoon, that's going

0:27:19.040 --> 0:27:22.440
<v Speaker 1>to send our DARPA team scrambling to try and disprove

0:27:22.480 --> 0:27:25.080
<v Speaker 1>this thing before we push the button. Right. It's like

0:27:25.080 --> 0:27:28.760
<v Speaker 1>war games, it is, but way way worse. Yeah. So,

0:27:28.960 --> 0:27:31.439
<v Speaker 1>just to reiterate one more time, the one thing that

0:27:31.480 --> 0:27:33.000
<v Speaker 1>you and I can do, and the one thing that

0:27:33.040 --> 0:27:35.720
<v Speaker 1>you guys out there listening can do to keep society

0:27:35.760 --> 0:27:39.760
<v Speaker 1>from eroding is to know that deep fake videos are

0:27:39.920 --> 0:27:43.760
<v Speaker 1>very real, and just about anybody with enough computing power

0:27:43.840 --> 0:27:46.959
<v Speaker 1>and patients to make one can make one. And the

0:27:47.080 --> 0:27:50.320
<v Speaker 1>very fact that those things exist should make you question

0:27:50.880 --> 0:27:53.280
<v Speaker 1>anything you see or hear with your own eyes that

0:27:53.320 --> 0:27:56.800
<v Speaker 1>seems unbelievable or sensational. Unfortunately, I think the stuff you

0:27:56.840 --> 0:27:59.720
<v Speaker 1>should know crowd is pretty savvy, so we're sort of

0:27:59.760 --> 0:28:02.000
<v Speaker 1>pre into the choir here. Yeah, but maybe they can

0:28:02.040 --> 0:28:06.480
<v Speaker 1>go preach to their older relatives on Facebook or exactly

0:28:06.560 --> 0:28:10.960
<v Speaker 1>take this to Thanksgiving dinner and just explain it to folks. Uh,

0:28:11.480 --> 0:28:13.919
<v Speaker 1>we should talk about porn a little more. Should we

0:28:13.920 --> 0:28:17.200
<v Speaker 1>take a break first? Sure? Are you okay with that? Yeah?

0:28:17.400 --> 0:28:20.080
<v Speaker 1>I feel bad now? No? Okay, Well we'll wait and

0:28:20.080 --> 0:28:36.960
<v Speaker 1>talk about porn in about sixty seconds, ask as good?

0:28:37.119 --> 0:28:44.840
<v Speaker 1>Shouldn't all right, Chuck? You promised talking about porn? Yeah? This? Uh?

0:28:44.880 --> 0:28:47.120
<v Speaker 1>In this research, it says one of the defenses people

0:28:47.120 --> 0:28:48.960
<v Speaker 1>make in favor of deep pig porn is it it

0:28:48.960 --> 0:28:52.680
<v Speaker 1>doesn't actually harm anyone. Is anyone actually saying that? Yeah?

0:28:52.720 --> 0:28:54.800
<v Speaker 1>A lot of people who I shouldn't say a lot

0:28:54.880 --> 0:28:57.240
<v Speaker 1>I've seen at least quote from people who make this

0:28:57.280 --> 0:28:59.840
<v Speaker 1>stuff saying like this is a this is the media

0:29:00.520 --> 0:29:02.960
<v Speaker 1>drumming up a moral panic, Like what's the what's the

0:29:03.000 --> 0:29:05.560
<v Speaker 1>problem here? What's the issue? It's not like where it's

0:29:05.560 --> 0:29:09.480
<v Speaker 1>not like they're going and hacking into like a star's

0:29:10.120 --> 0:29:13.200
<v Speaker 1>iCloud account, getting naked pictures of them and then distributing

0:29:13.240 --> 0:29:17.280
<v Speaker 1>that and like this is really a private naked picture

0:29:17.360 --> 0:29:21.440
<v Speaker 1>of a celebrity people into thinking they've done that to them.

0:29:21.480 --> 0:29:23.360
<v Speaker 1>I think that they would say they're just creating some

0:29:23.400 --> 0:29:27.160
<v Speaker 1>fantasy thing that's not even real. It doesn't exist. I'm

0:29:27.200 --> 0:29:29.480
<v Speaker 1>not defending it. I'm just telling you what the other

0:29:29.520 --> 0:29:32.560
<v Speaker 1>side is saying. Yeah. Well, and that's the perfect example

0:29:32.560 --> 0:29:35.520
<v Speaker 1>of why these are very bad people, because it is

0:29:35.800 --> 0:29:38.720
<v Speaker 1>it is harmful, um to everyone involved, to the person

0:29:38.760 --> 0:29:43.680
<v Speaker 1>whose face you're using, to the adult film actor who

0:29:43.760 --> 0:29:47.000
<v Speaker 1>did a scene wants credit, and well, yeah, I mean

0:29:47.000 --> 0:29:50.280
<v Speaker 1>it's regardless of how you feel about that stuff, someone

0:29:50.840 --> 0:29:52.920
<v Speaker 1>did something and got paid a wage to do so,

0:29:53.440 --> 0:29:56.600
<v Speaker 1>and now it's being ripped off and there are real

0:29:56.840 --> 0:30:00.719
<v Speaker 1>people's faces involved in real bodies involved in real lives.

0:30:00.800 --> 0:30:04.080
<v Speaker 1>It's you know, it's not a moral panic. But you know,

0:30:04.120 --> 0:30:05.920
<v Speaker 1>it's not like we need to march this to the

0:30:05.920 --> 0:30:08.400
<v Speaker 1>top of Capitol Hill right now. Well that's funny because

0:30:08.400 --> 0:30:10.800
<v Speaker 1>Congress held hearings on it this year. Well yeah, but

0:30:10.840 --> 0:30:13.080
<v Speaker 1>I have a feeling it's a little bit more about

0:30:13.120 --> 0:30:17.640
<v Speaker 1>the political ramifications than putting your ex girlfriend's face on

0:30:17.680 --> 0:30:19.800
<v Speaker 1>a porn body. Oh yeah, yeah, yeah, I see what

0:30:19.800 --> 0:30:21.480
<v Speaker 1>you mean. Although they could do you know, they could

0:30:21.520 --> 0:30:25.560
<v Speaker 1>put your your governor's face on a porn body and

0:30:25.600 --> 0:30:28.040
<v Speaker 1>get them removed from office. You know, this video was

0:30:28.080 --> 0:30:31.000
<v Speaker 1>just dug up. Look at look at this, Uh, look

0:30:31.040 --> 0:30:34.200
<v Speaker 1>at your governor. Yeah, look what he's doing. For sure,

0:30:34.240 --> 0:30:37.560
<v Speaker 1>But even take that down to the more the less

0:30:37.600 --> 0:30:40.840
<v Speaker 1>political level, like you were saying, you could ruin somebody's

0:30:40.840 --> 0:30:43.280
<v Speaker 1>marriage if it was shaky or on the rocks before. Sure,

0:30:43.320 --> 0:30:45.760
<v Speaker 1>Hey here's the sex tape of your husband or your wife.

0:30:45.800 --> 0:30:50.360
<v Speaker 1>You know, yes, blackmails another one too. Um, there's a

0:30:50.360 --> 0:30:52.640
<v Speaker 1>lot of ramifications of this, and it seems like the

0:30:52.680 --> 0:30:55.560
<v Speaker 1>more you dig into it, the more becomes clear that

0:30:55.720 --> 0:30:59.000
<v Speaker 1>really the big threat from this is to the individual

0:30:59.120 --> 0:31:02.640
<v Speaker 1>whose face is used on the deep fake porn. Right,

0:31:02.680 --> 0:31:04.840
<v Speaker 1>they could do a video of us holding hands walking

0:31:04.840 --> 0:31:07.920
<v Speaker 1>down the street, right, or they could just use that

0:31:08.040 --> 0:31:10.680
<v Speaker 1>video of us doing that, the one that exists around

0:31:10.640 --> 0:31:14.280
<v Speaker 1>And I'm glad you picked up that one. Um. There

0:31:14.400 --> 0:31:18.360
<v Speaker 1>was just jeez, just a couple of weeks ago because

0:31:18.920 --> 0:31:21.480
<v Speaker 1>I saw this one when I google this undernews, so

0:31:21.520 --> 0:31:24.280
<v Speaker 1>it's very recently. There was an app that we won't

0:31:24.360 --> 0:31:27.719
<v Speaker 1>name that's undressed. Basically, what you could do is just

0:31:27.760 --> 0:31:31.160
<v Speaker 1>take a picture of any woman, plug it into this app,

0:31:31.240 --> 0:31:35.640
<v Speaker 1>and it would uh show her, um, what she would

0:31:35.680 --> 0:31:38.360
<v Speaker 1>look like nude, not her body, but it would just

0:31:38.480 --> 0:31:41.760
<v Speaker 1>do it so fast and so realistically that you could

0:31:41.960 --> 0:31:44.880
<v Speaker 1>nude up some woman with a touch of a button. Yeah,

0:31:44.960 --> 0:31:47.360
<v Speaker 1>and like it would it would replace her clothes in

0:31:47.440 --> 0:31:53.040
<v Speaker 1>the picture with nude clothes. Right. So the birthday suit right,

0:31:53.040 --> 0:31:54.880
<v Speaker 1>birthday suit right, that's what I was looking And it's

0:31:54.920 --> 0:31:57.400
<v Speaker 1>just as awful as you think. Uh. And the creator

0:31:57.480 --> 0:32:01.040
<v Speaker 1>actually even shut it down within like three or four days. Yeah,

0:32:01.080 --> 0:32:03.640
<v Speaker 1>but like what was this guy thinking, like this is

0:32:03.640 --> 0:32:05.520
<v Speaker 1>a great idea. I'm like, oh, people have a problem

0:32:05.560 --> 0:32:09.040
<v Speaker 1>with this, Well I'll shut it down. Like really, in

0:32:09.160 --> 0:32:14.280
<v Speaker 1>his defense, he's probably like fourteen, Well, I guess that's

0:32:14.280 --> 0:32:16.920
<v Speaker 1>a good point. Uh. Even if you plugged in a

0:32:16.920 --> 0:32:18.920
<v Speaker 1>picture of a man, it would show a woman's nude body.

0:32:18.960 --> 0:32:21.880
<v Speaker 1>And you know what that means. That means that And

0:32:21.920 --> 0:32:23.760
<v Speaker 1>the person who created this app says, well, I just

0:32:23.800 --> 0:32:26.400
<v Speaker 1>did that because there are way more pictures of naked

0:32:26.440 --> 0:32:28.120
<v Speaker 1>women on the internet, and I was gonna do a

0:32:28.160 --> 0:32:30.560
<v Speaker 1>man's version, but I had to go to baseball practice

0:32:30.600 --> 0:32:34.640
<v Speaker 1>and never got a chance to. Yeah. That's uh, that's

0:32:34.680 --> 0:32:37.160
<v Speaker 1>pretty amazing. And of course that person is anonymous, right

0:32:37.640 --> 0:32:40.520
<v Speaker 1>as far as I know. Yeah, which means that they

0:32:40.520 --> 0:32:43.560
<v Speaker 1>really must be four Team because they weren't unmasked on

0:32:43.600 --> 0:32:46.800
<v Speaker 1>the internet. Despite the outrage against this, You're probably right.

0:32:46.840 --> 0:32:50.960
<v Speaker 1>I wonder that it's just farmer Bro. That guy justaed him.

0:32:50.960 --> 0:32:54.720
<v Speaker 1>He's still in jail. Is he really good? So that's

0:32:54.760 --> 0:32:58.440
<v Speaker 1>a good um segue into what you can do if

0:32:58.480 --> 0:33:02.920
<v Speaker 1>this happens to you, Right, there's a lot of outrage,

0:33:03.440 --> 0:33:06.880
<v Speaker 1>Congressman against There's a lot of outrage against this kind

0:33:06.880 --> 0:33:11.000
<v Speaker 1>of thing on the internet. So if this, if you

0:33:11.040 --> 0:33:14.280
<v Speaker 1>are targeted and you end up in a deep fake

0:33:14.360 --> 0:33:20.680
<v Speaker 1>porn clip or video or whatever, um, you could drum

0:33:20.760 --> 0:33:24.520
<v Speaker 1>up some moral outrage on the Internet or go to

0:33:24.600 --> 0:33:27.800
<v Speaker 1>the site that is being hosted on directly and say, hey,

0:33:28.080 --> 0:33:29.640
<v Speaker 1>I know this is messed up. You know this is

0:33:29.680 --> 0:33:32.760
<v Speaker 1>messed up. Please take this down. I didn't consent to this.

0:33:32.760 --> 0:33:35.400
<v Speaker 1>This is an invasion of my privacy. Get rid of

0:33:35.440 --> 0:33:38.400
<v Speaker 1>this video. Porn websites are good about that, actually, yep,

0:33:38.720 --> 0:33:40.440
<v Speaker 1>they don't want that stuff on there. No, And it's

0:33:40.480 --> 0:33:45.680
<v Speaker 1>not just porn websites like um, porn Hub, Reddit, giffy

0:33:45.800 --> 0:33:49.720
<v Speaker 1>Um some other sites have banned all kinds of deep

0:33:49.760 --> 0:33:53.320
<v Speaker 1>fake videos and apparently giffy I think it's giffy g

0:33:53.640 --> 0:33:55.920
<v Speaker 1>y f y idea. I don't either. I've never heard

0:33:55.920 --> 0:33:58.320
<v Speaker 1>of it until I started researching this. But this site

0:33:58.360 --> 0:34:01.920
<v Speaker 1>actually created an AI that's trained to spot deep fig

0:34:02.040 --> 0:34:04.760
<v Speaker 1>videos and remove them from the site, which is a

0:34:04.800 --> 0:34:07.800
<v Speaker 1>big tool that they need to be sharing with everybody else.

0:34:08.440 --> 0:34:11.600
<v Speaker 1>But if you can contact the site and say, hey, man,

0:34:11.800 --> 0:34:14.399
<v Speaker 1>take this down, this is me, they will probably take

0:34:14.400 --> 0:34:16.920
<v Speaker 1>it down just because of the everybody knows this is

0:34:16.960 --> 0:34:20.280
<v Speaker 1>really messed up. Yeah, they got enough. They have plenty

0:34:20.400 --> 0:34:23.200
<v Speaker 1>of videos to work for from that are real. They

0:34:23.200 --> 0:34:26.120
<v Speaker 1>don't need this stuff. But there's no laws that say

0:34:26.160 --> 0:34:29.360
<v Speaker 1>they have to take it down, are there? Well not yet. Uh.

0:34:29.360 --> 0:34:33.520
<v Speaker 1>There's this guy, Henry Fred He studies digital forensics at

0:34:33.600 --> 0:34:37.400
<v Speaker 1>Dartmouth and they are hard at work. Like again, this

0:34:37.560 --> 0:34:40.600
<v Speaker 1>just started, you know, very recently, so all of this

0:34:40.680 --> 0:34:44.480
<v Speaker 1>stuff they're just like scrambling to get ahead of as

0:34:44.520 --> 0:34:47.279
<v Speaker 1>far as uh sniffing this stuff out. Well, the whole

0:34:47.320 --> 0:34:49.719
<v Speaker 1>world was caught off guard by this. Oh yeah, like

0:34:49.760 --> 0:34:51.319
<v Speaker 1>this guy just wanted, hey, look what I can do,

0:34:51.640 --> 0:34:53.759
<v Speaker 1>and I'm going to change the world here. Nick Kage

0:34:53.920 --> 0:34:57.160
<v Speaker 1>is so funny. Oh wait, what is Nick kide doing

0:34:57.200 --> 0:35:00.719
<v Speaker 1>as yoda. Oh my god, So profession nials, there are

0:35:00.800 --> 0:35:03.680
<v Speaker 1>some pretty uh easy to spot things if you're a pro,

0:35:04.200 --> 0:35:07.560
<v Speaker 1>unless it's just really bad. Um, your average layman can

0:35:07.600 --> 0:35:09.719
<v Speaker 1>spot those. But if you're a pro, you're gonna look

0:35:09.760 --> 0:35:14.759
<v Speaker 1>for like bad compression, um stuff that like you know,

0:35:14.960 --> 0:35:19.439
<v Speaker 1>lighting that looks off. Yeah. Not blinking is a big one. Yeah,

0:35:19.480 --> 0:35:23.879
<v Speaker 1>like Michael Caine don't blink. Maybe he's just a big

0:35:24.320 --> 0:35:28.399
<v Speaker 1>deep fake his whole career. Man, that'd be something. Um,

0:35:28.520 --> 0:35:30.359
<v Speaker 1>sound is a big thing, like wa wait, hold on, hold,

0:35:30.400 --> 0:35:32.279
<v Speaker 1>I want to say why blinking is not a thing.

0:35:32.400 --> 0:35:34.600
<v Speaker 1>Oh sure, because it's fascinating. I mean it probably wasn't

0:35:34.640 --> 0:35:36.520
<v Speaker 1>to you because you didn't like that gives motor article.

0:35:37.080 --> 0:35:41.160
<v Speaker 1>But um, the reason why not blinking is the thing

0:35:41.280 --> 0:35:45.279
<v Speaker 1>in deep fake is because deep fake AI that is

0:35:45.360 --> 0:35:49.799
<v Speaker 1>trained on data sets probably are being shown photos of

0:35:49.880 --> 0:35:53.520
<v Speaker 1>somebody not blinking, so they don't learn that people blink,

0:35:53.560 --> 0:35:56.080
<v Speaker 1>so they don't The AI doesn't know to add blinking

0:35:56.360 --> 0:35:59.719
<v Speaker 1>when it renders the new face on this video. But

0:35:59.760 --> 0:36:01.439
<v Speaker 1>all I can do is just say, all right, well

0:36:01.600 --> 0:36:04.160
<v Speaker 1>now then we'll program it to blink. Right. That's the

0:36:04.160 --> 0:36:06.919
<v Speaker 1>big problem, Chuck. It's like everything they can spot. In fact,

0:36:06.960 --> 0:36:09.400
<v Speaker 1>when they list out all the things like look for

0:36:09.480 --> 0:36:12.520
<v Speaker 1>blocking this, compression, fixed pattern noise, I'm sure there's some

0:36:13.239 --> 0:36:16.200
<v Speaker 1>deep fakir that's like check check, check, Thanks for the

0:36:16.239 --> 0:36:18.760
<v Speaker 1>list of stuff we need to work on, and they're there.

0:36:18.800 --> 0:36:21.320
<v Speaker 1>It's still maybe, like you were saying, at a point

0:36:21.360 --> 0:36:24.080
<v Speaker 1>where possibly you or I could look at a shoddy

0:36:24.160 --> 0:36:27.480
<v Speaker 1>video and be like, yeah, I see this this and

0:36:27.520 --> 0:36:29.439
<v Speaker 1>this is a little wrong, like there is a little

0:36:29.480 --> 0:36:33.560
<v Speaker 1>bit of compression um relic or remnants or whatever, like

0:36:33.600 --> 0:36:35.680
<v Speaker 1>they're not blinking the shadows off a little bit. But

0:36:35.719 --> 0:36:37.799
<v Speaker 1>there's also plenty of videos where you do need to

0:36:37.800 --> 0:36:40.919
<v Speaker 1>be like a digital forensic scientists to to find them

0:36:41.000 --> 0:36:43.120
<v Speaker 1>or an AI to find it. Yeah, you can also

0:36:43.200 --> 0:36:47.520
<v Speaker 1>use your ear holes because you know, look at the

0:36:47.600 --> 0:36:49.760
<v Speaker 1>room that the person is in and would it sound

0:36:49.840 --> 0:36:51.840
<v Speaker 1>like that in a room like that, And that's a

0:36:51.880 --> 0:36:55.280
<v Speaker 1>good One of the things audio specialists look at is like, uh,

0:36:55.320 --> 0:36:58.799
<v Speaker 1>you know, if you have Obama in a concert hall

0:36:58.880 --> 0:37:02.080
<v Speaker 1>speaking and it sounds like in someone's closet or us, Yeah,

0:37:02.320 --> 0:37:05.520
<v Speaker 1>it sounds like a can like our earliest episodes. Yeah, exactly,

0:37:05.520 --> 0:37:08.799
<v Speaker 1>that's pretty you know, pretty strong indicator. It is. So

0:37:08.880 --> 0:37:13.239
<v Speaker 1>there are things you can do. Um. When BuzzFeed tweeted

0:37:13.320 --> 0:37:17.439
<v Speaker 1>that Jordan Peel Obama deep fake, they included a list

0:37:17.480 --> 0:37:20.359
<v Speaker 1>of things to do to spot a deep fake. UM,

0:37:20.800 --> 0:37:22.480
<v Speaker 1>I wonder how many times you said deep fake in

0:37:22.480 --> 0:37:30.239
<v Speaker 1>this episode. Don't jump to conclusions. Consider the source. It's

0:37:30.280 --> 0:37:33.000
<v Speaker 1>a big one. That's what's gonna guide us through here.

0:37:33.520 --> 0:37:36.080
<v Speaker 1>People like this is Jordan Peel, I can trust that. No.

0:37:36.160 --> 0:37:37.880
<v Speaker 1>But I mean, like if you go onto a site,

0:37:38.000 --> 0:37:40.040
<v Speaker 1>I I can spot like a fake news site a

0:37:40.080 --> 0:37:43.560
<v Speaker 1>mile away, Like you can just tell it's just there's

0:37:43.600 --> 0:37:46.399
<v Speaker 1>it's off, it's uncanny. It's our sense of uncanny that's

0:37:46.400 --> 0:37:49.200
<v Speaker 1>gonna guide us through this. Yeah, the it's you can

0:37:49.200 --> 0:37:51.520
<v Speaker 1>always sell because the screen is black in the texts,

0:37:51.560 --> 0:37:56.719
<v Speaker 1>florescent green in comic sance. Um. And then another one

0:37:56.800 --> 0:37:59.719
<v Speaker 1>is check where this thing is and isn't. This is

0:37:59.800 --> 0:38:02.120
<v Speaker 1>kind of like the opposite tip we always give people

0:38:02.120 --> 0:38:04.680
<v Speaker 1>where if you see the same thing and basically the

0:38:04.680 --> 0:38:07.960
<v Speaker 1>same wording throughout the internet, you should question that. If

0:38:07.960 --> 0:38:10.080
<v Speaker 1>you see a deep fake video and only a couple

0:38:10.120 --> 0:38:13.160
<v Speaker 1>of places and it's news news, but you don't see

0:38:13.200 --> 0:38:16.720
<v Speaker 1>it on like ABC or CNN or Fox News or wherever.

0:38:17.160 --> 0:38:19.560
<v Speaker 1>If you don't see it on like a reputable news site,

0:38:19.680 --> 0:38:23.000
<v Speaker 1>you should probably question it. Yeah, Donald Trump threatens nuclear war.

0:38:23.200 --> 0:38:26.839
<v Speaker 1>We have the video from slappy dot com, right, it's

0:38:26.880 --> 0:38:29.680
<v Speaker 1>probably a good indicator slappy dot com. I'm sure the

0:38:29.680 --> 0:38:34.080
<v Speaker 1>good people are like, we make we make hamburger button

0:38:34.560 --> 0:38:36.839
<v Speaker 1>picking up. I should probably check and see what that is.

0:38:37.400 --> 0:38:40.440
<v Speaker 1>Everyone else is right now, what else? Look closely at

0:38:40.480 --> 0:38:43.239
<v Speaker 1>their mouth? Yea uh. And then here's a kind of

0:38:43.239 --> 0:38:46.279
<v Speaker 1>a no brainers, like slow it down, slow the video down,

0:38:46.360 --> 0:38:48.840
<v Speaker 1>slow your role and like really look at it closely

0:38:49.239 --> 0:38:51.640
<v Speaker 1>if you see like because that's where you're gonna see

0:38:51.640 --> 0:38:56.280
<v Speaker 1>like strange lighting changes and stuff. Um, but it's all legal,

0:38:57.040 --> 0:38:58.759
<v Speaker 1>it is, so we were kind of we're kind of

0:38:58.760 --> 0:39:00.759
<v Speaker 1>talking about that, like the best way to get a

0:39:00.840 --> 0:39:04.040
<v Speaker 1>video taking down as to contact the website. UM just

0:39:04.080 --> 0:39:07.359
<v Speaker 1>be like, bro, come on, this is awful. Um. There

0:39:07.400 --> 0:39:11.120
<v Speaker 1>are no laws that protect you directly. But a lot

0:39:11.160 --> 0:39:13.840
<v Speaker 1>of people are saying, well, we've got revenge porn laws

0:39:13.880 --> 0:39:16.440
<v Speaker 1>that are starting to pop up around the country. It's

0:39:16.480 --> 0:39:20.960
<v Speaker 1>a very short short trip to from revenge porn to

0:39:21.200 --> 0:39:27.160
<v Speaker 1>deep fake porn. It's virtually the same thing. It's involuntary pornography. Um,

0:39:27.160 --> 0:39:30.720
<v Speaker 1>it's even more involuntary because with revenge porn, the person

0:39:30.800 --> 0:39:33.560
<v Speaker 1>even posed for the picture or whatever initially for whatever

0:39:33.640 --> 0:39:36.839
<v Speaker 1>context or reason, with no intention to get it out.

0:39:37.640 --> 0:39:41.560
<v Speaker 1>With deep fake porn, this person never even posed or

0:39:41.600 --> 0:39:44.319
<v Speaker 1>engaged in this act or anything like that. So it's

0:39:44.360 --> 0:39:48.279
<v Speaker 1>even even in a way, maybe even worse than revenge porn,

0:39:48.280 --> 0:39:52.440
<v Speaker 1>which is feels like bitter acid in my mouth to say. Um.

0:39:52.880 --> 0:39:55.640
<v Speaker 1>So you can make a case though, that these revenge

0:39:55.640 --> 0:39:59.040
<v Speaker 1>porn statutes that protect people could be extended to this

0:39:59.120 --> 0:40:04.400
<v Speaker 1>as well, But that's a that's for personal stuff. For

0:40:04.680 --> 0:40:08.040
<v Speaker 1>like national stuff or a public figure or something like that,

0:40:08.560 --> 0:40:11.680
<v Speaker 1>especially when it comes to politics. You could make a

0:40:11.719 --> 0:40:14.239
<v Speaker 1>really strong case that these deep fake videos, even the

0:40:14.280 --> 0:40:18.520
<v Speaker 1>most misleading, nefarious deep fake video you can imagine, would

0:40:18.520 --> 0:40:21.879
<v Speaker 1>be protected under the First Amendment. Yeah, I could see

0:40:21.880 --> 0:40:27.799
<v Speaker 1>a satire defense being mounted in the future. Uh. Like,

0:40:27.880 --> 0:40:30.000
<v Speaker 1>you know, what's the difference between doing a really good

0:40:30.040 --> 0:40:33.719
<v Speaker 1>deep fake in doing an animated cartoon like south Park

0:40:34.280 --> 0:40:38.040
<v Speaker 1>which shows people saying and doing things they wouldn't do either. Uh,

0:40:38.080 --> 0:40:42.319
<v Speaker 1>it is very slippery and thorny in a very fine line.

0:40:42.400 --> 0:40:44.439
<v Speaker 1>But even if the person who makes the deep fake

0:40:44.520 --> 0:40:47.440
<v Speaker 1>says No, I did not mean this is satire. It

0:40:47.560 --> 0:40:49.759
<v Speaker 1>was meant to be misleading, and I wanted to see

0:40:49.760 --> 0:40:53.520
<v Speaker 1>what effects it had. Sure they didn't shout fire in

0:40:53.520 --> 0:40:56.640
<v Speaker 1>a crowded theater, so they could probably still get away

0:40:56.680 --> 0:40:59.480
<v Speaker 1>with it under the First Amendment. Yeah, it's interesting to

0:40:59.520 --> 0:41:03.080
<v Speaker 1>see where the just gonna go. Hopefully write down the toilet. Nope,

0:41:03.960 --> 0:41:06.480
<v Speaker 1>it's just gonna get there. It's gonna get more and

0:41:06.520 --> 0:41:10.560
<v Speaker 1>more realistic, and we're gonna end up, inadvertently, um, falling

0:41:10.600 --> 0:41:14.960
<v Speaker 1>into the simulation. That's what's gonna happen. Chuck, prepare for it.

0:41:15.040 --> 0:41:18.000
<v Speaker 1>That's great, Okay, just try to put a smile on

0:41:18.040 --> 0:41:22.719
<v Speaker 1>your face regardless. That's smiling. If you want to know more,

0:41:23.120 --> 0:41:27.400
<v Speaker 1>if you want to know more about deep fakes, Um,

0:41:27.440 --> 0:41:30.160
<v Speaker 1>it's so hot right now. Just go on the internet

0:41:30.200 --> 0:41:33.000
<v Speaker 1>and you can read all sorts of news articles about it.

0:41:33.360 --> 0:41:40.000
<v Speaker 1>Since I said that, it's time for listener mail. I

0:41:40.000 --> 0:41:42.160
<v Speaker 1>think the first thing that turned me off was the name.

0:41:43.200 --> 0:41:46.000
<v Speaker 1>Anytime I see something that's like not a real word,

0:41:46.000 --> 0:41:48.640
<v Speaker 1>but they're like squeezed together to words and it's all

0:41:48.719 --> 0:41:53.440
<v Speaker 1>lowercase or something or oh gosh, yeah, it's just the

0:41:53.480 --> 0:41:57.600
<v Speaker 1>worst of the Internet. It's terrible. All right, Hey, guys,

0:41:57.680 --> 0:42:01.879
<v Speaker 1>just finished the Neanderthal episode and those mentioned that their

0:42:01.960 --> 0:42:05.520
<v Speaker 1>language could have have some remnants in our modern languages.

0:42:05.960 --> 0:42:10.040
<v Speaker 1>That was a really good automatically remembered that during How

0:42:10.080 --> 0:42:12.840
<v Speaker 1>Swearing Works, you guys mentioned that a different part of

0:42:12.880 --> 0:42:16.280
<v Speaker 1>our brains activate when hearing are using swear words. So maybe,

0:42:16.360 --> 0:42:19.640
<v Speaker 1>just maybe that small percentage of our name Andrew Falian

0:42:20.239 --> 0:42:23.160
<v Speaker 1>d n A activates when we stub our toes or

0:42:23.200 --> 0:42:26.800
<v Speaker 1>hit our shins to unleash our primitive and original language.

0:42:27.080 --> 0:42:30.000
<v Speaker 1>How about that? I like this person anyways, loved the podcast, guys.

0:42:30.040 --> 0:42:33.359
<v Speaker 1>Grateful for the knowledge and entertainment. And thank you Jerry,

0:42:33.480 --> 0:42:36.040
<v Speaker 1>or should we just say thank you Josh Josh T

0:42:36.960 --> 0:42:40.880
<v Speaker 1>for keeping the quality of these podcasts awesome. We're not

0:42:40.920 --> 0:42:46.600
<v Speaker 1>thinking Jerry anymore. Just from my overpriced apartment in Redlands, California.

0:42:46.800 --> 0:42:51.600
<v Speaker 1>That is Falcon. No, that's his last name. Wow, the

0:42:51.719 --> 0:42:55.400
<v Speaker 1>end is silent though, so it's Falcone. Thanks a lot, Falcon.

0:42:55.480 --> 0:42:58.439
<v Speaker 1>We appreciate you. Um, that was a great name. Thanks

0:42:58.480 --> 0:43:01.520
<v Speaker 1>for swooping in with that idea. Mm hm and uh,

0:43:01.920 --> 0:43:04.440
<v Speaker 1>I'm sorry for everybody for that. If you want to

0:43:04.440 --> 0:43:06.880
<v Speaker 1>get in touch with us, like foul code. Did You

0:43:06.960 --> 0:43:09.840
<v Speaker 1>can tweet to us. We're at s y s K podcast,

0:43:09.960 --> 0:43:13.960
<v Speaker 1>I'm at joshuam Clark. We're on Instagram, We're on Facebook.

0:43:14.280 --> 0:43:18.839
<v Speaker 1>Where else are we? Chuck Uh, We're on every deep fake.

0:43:19.440 --> 0:43:22.920
<v Speaker 1>We might be on Giffy who knows gif Uh. You

0:43:22.960 --> 0:43:26.360
<v Speaker 1>can also send us a good old fashioned email, spank

0:43:26.400 --> 0:43:28.440
<v Speaker 1>it on the bottom after you wrap it up, of course,

0:43:28.480 --> 0:43:30.839
<v Speaker 1>and send it off to Stuff podcast at i heart

0:43:30.920 --> 0:43:37.080
<v Speaker 1>radio dot com. Stuff you Should Know is a production

0:43:37.120 --> 0:43:39.840
<v Speaker 1>of iHeart Radio's How Stuff Works. For more podcasts for

0:43:39.880 --> 0:43:42.680
<v Speaker 1>my heart Radio, visit the iHeart Radio app, Apple Podcasts,

0:43:42.760 --> 0:43:44.440
<v Speaker 1>or wherever you listen to your favorite shows.