WEBVTT - Kari Byron

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<v Speaker 1>The Craig Ferguson Pants on Fire Tour is on sale now.

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<v Speaker 1>It's a new show, it's new material, but I'm afraid

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<v Speaker 1>it's still only me, Craig Ferguson on my own, standing

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<v Speaker 1>on a stage telling comedy words. Come and see me,

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<v Speaker 1>buy tickets, bring your loved ones, or don't come and

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<v Speaker 1>see me. Don't buy tickets and don't bring your loved ones.

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<v Speaker 1>I'm not your dad. You come or don't come, but

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<v Speaker 1>you should at least know what's happening, and it is.

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<v Speaker 1>The tour kicks off late September and goes through the

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<v Speaker 1>end of the year and beyond. Tickets are available at

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<v Speaker 1>the Craig Ferguson Show dot com slash tour. They're available

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<v Speaker 1>at the Craig Ferguson show dot com slash tour or

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<v Speaker 1>at your local outlet in your region. My name is

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<v Speaker 1>Craig Ferguson. The name of this podcast is Joy. I

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<v Speaker 1>talk to interest in people about what brings them happiness.

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<v Speaker 1>Welcome to Joy the Podcast. My guest today is a

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<v Speaker 1>friend of mine full disclosure, A good friend of mine

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<v Speaker 1>and a good person and very clever and very interesting,

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<v Speaker 1>and she is a MythBuster. So that works. Her name

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<v Speaker 1>is Carried Byron, and you're welcome and enjoy carry.

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<v Speaker 2>I want to ask you a question. Yes, this is

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<v Speaker 2>a question.

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<v Speaker 1>Although I've known you for many years, I have never

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<v Speaker 1>answer you this question, unless maybe I have asked you

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<v Speaker 1>this question.

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<v Speaker 2>But we'll find out.

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<v Speaker 1>Are you in any way related to Lord Byron?

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<v Speaker 3>Well, according to my father, yes, but my father was

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<v Speaker 3>one of those big fish kind of guys that tells

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<v Speaker 3>really great stories. So sometimes I'm just going to go

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<v Speaker 3>with yes. I have never fully fully investigated it. But

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<v Speaker 3>my dad used to have this big leather bound Lord

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<v Speaker 3>Byron book, okay, read in front of the fireplace, and

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<v Speaker 3>like five am when I get up early, I'd curl

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<v Speaker 3>up on his lap and he would read me poetry.

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<v Speaker 3>And I didn't understand any of it until I was older,

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<v Speaker 3>but he felt this. I think it just gave him

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<v Speaker 3>a sense of importance. So like on his deathbed, I

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<v Speaker 3>read him Lord Byron poetry.

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<v Speaker 1>Oh wow, that's father lovely. And I'm sorry to hear

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<v Speaker 1>that your father's passed. But what a lovely thing to do?

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<v Speaker 1>Was he able to hear you? Did he enjoy it?

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<v Speaker 2>And stuff?

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<v Speaker 3>I feel like he did. He wasn't really in a

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<v Speaker 3>state of it.

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<v Speaker 4>So yeah, you know.

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<v Speaker 1>I gave my mother on her deathbed, I gave her

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<v Speaker 1>a photograph of Tony Curtis. Tony Curtis had been on

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<v Speaker 1>the Late Night Show and that was my mom's favorite.

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<v Speaker 1>And then she was dying and I told Tony Curtis

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<v Speaker 1>my mom was in the hospital.

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<v Speaker 2>She's very second.

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<v Speaker 1>I was going to leave after the show, and he went, oh,

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<v Speaker 1>and he signed a photograph for and I gave it

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<v Speaker 1>to my mom. But I think I don't think she

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<v Speaker 1>saw it, but I like to think that she knew

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<v Speaker 1>that it was a picture of Tony Curtis signed by

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<v Speaker 1>Tony Kurtiz On anyway, listen, it's a rather poetic name

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<v Speaker 1>for someone who I think of as being a science

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<v Speaker 1>You're very sciencey. You come you've come to my haunted

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<v Speaker 1>houses in Scotland, and you're like, ah, there's no such

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<v Speaker 1>thing as ghosts, and you're very sciencey about it.

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<v Speaker 2>But of course there are such a thing as ghosts. Obviously.

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<v Speaker 3>I wanted to be haunted so badly at your house,

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<v Speaker 3>Like I stayed awake, I walked around in the dark.

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<v Speaker 4>I was like, bring it, because I would love to

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<v Speaker 4>be haunted. That would be so cool.

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<v Speaker 1>Yeah, that's what they don't do it if you want it. Also,

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<v Speaker 1>I think there were a couple of scotsmen at the

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<v Speaker 1>parties be very happy to be haunting you in the

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<v Speaker 1>middle of the night if they you you were walking

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<v Speaker 1>around the castle. I watched a couple of those gentlemen.

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<v Speaker 1>What all you around the dance floor.

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<v Speaker 3>But you do some real fun dancing at your parties.

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<v Speaker 3>You have never done that kind of dancing. It's it's

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<v Speaker 3>like Scottish line dancing or coon it is.

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<v Speaker 1>It's reels. It's it's reels before Instagram. Now let me

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<v Speaker 1>let me ask you this because you are one of

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<v Speaker 1>a select gang that throughout the course of this podcast

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<v Speaker 1>I will talk to all of them, even probably including

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<v Speaker 1>Jamie is myth Butler's Royalty. You were the only for

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<v Speaker 1>most of the time anyway, you were the only women

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<v Speaker 1>on the team, right.

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<v Speaker 4>Well, we started out with Skotcharny.

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<v Speaker 3>Yes, she is just an amazing welder and very very cool.

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<v Speaker 3>I was just the longest running and consistently the first one.

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<v Speaker 3>I was helping Jamie out behind the scenes when I

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<v Speaker 3>was just interning, so like the very first episode, I

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<v Speaker 3>was there.

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<v Speaker 2>But you were interning, right, That's what it was.

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<v Speaker 1>It was just like because because you I feel like

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<v Speaker 1>maybe I'm making this up, but I feel like I

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<v Speaker 1>think of you as you were a sculptress or a sculptor, right,

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<v Speaker 1>that was your thing, that's where you were going to do.

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<v Speaker 2>You still do that?

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<v Speaker 4>Yeah, I mean some of them are behind me.

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<v Speaker 2>I was going to say those ones behind you yours?

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<v Speaker 3>Yeah, I mean I've always done it. I thought when

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<v Speaker 3>I was in San Francisco that I was going to

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<v Speaker 3>become this like really cool sculptor and my life was

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<v Speaker 3>going to be artie and my creepy little sculptures didn't

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<v Speaker 3>really sell that well. I couldn't make a living out

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<v Speaker 3>of it, so I thought, oh my god, how could

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<v Speaker 3>I still be a sculptor and do this kind of thing?

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<v Speaker 3>But like it paid, So then I started trying to

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<v Speaker 3>put together a portfolio so that I could maybe go work.

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<v Speaker 3>It's you know, work on Star Wars because Lucas Ranch

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<v Speaker 3>was so close to us, and I wanted to be

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<v Speaker 3>like Jamie and Adam and Tory when I grew up.

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<v Speaker 3>I wanted to do what they did. They were model makers. Yeah,

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<v Speaker 3>but I ended up using those sculptures that I had

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<v Speaker 3>made artistically to impress Jamie, and he's like, Okay, you know,

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<v Speaker 3>maybe I'll give you a job.

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<v Speaker 4>I won't pay you, but you can come work here.

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<v Speaker 1>Yeah.

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<v Speaker 2>That sounds very much like Jamie. He's he's for.

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<v Speaker 1>He's a very singular human being. I've always liked very

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<v Speaker 1>much what he did on camera. I always got very

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<v Speaker 1>a sense of like, there were people like you and

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<v Speaker 1>Adam and Torry and Grant God dressed them. We're very

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<v Speaker 1>comfortable on camera and kind of loved it and we're

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<v Speaker 1>very natural. And Jamie I always get a sense that

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<v Speaker 1>he was kind of rather grudgingly doing it because he

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<v Speaker 1>felt like someone. I felt like someone had told him

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<v Speaker 1>he had to do it and say you.

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<v Speaker 2>Went yeah, right, I don't like it? Or am I

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<v Speaker 2>making out? Was that character?

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<v Speaker 4>No? No, there is no character like Jamie is Jamie.

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<v Speaker 3>When I occasionally go visit his shop and he oorates

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<v Speaker 3>the gearing of everything he's working on, like it's the

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<v Speaker 3>same stuff, like he's working for some DARPA think tank

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<v Speaker 3>or something at this point on some stuff I probably

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<v Speaker 3>can't talk about, but I all spent an hour just

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<v Speaker 3>listening to him explain projects. But he did MythBusters because

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<v Speaker 3>they gave him an opportunity to do really cool, weird,

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<v Speaker 3>wild stuff.

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<v Speaker 1>Right, there was a lot of explosions. You guys blew

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<v Speaker 1>up a lot of stuff, a lot.

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<v Speaker 3>No, honestly, that wasn't his favorite. That was like one

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<v Speaker 3>of my favorites.

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<v Speaker 2>You seem to be very.

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<v Speaker 1>Drawn to explosions. Do you still get to get your

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<v Speaker 1>explosions fixed?

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<v Speaker 2>Now? How do you get your semtex fixed these days?

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<v Speaker 4>Well?

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<v Speaker 3>I do black powder artwork, so I'm still yeah, you

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<v Speaker 3>send you some, give me your address, I'll send you

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<v Speaker 3>some powder.

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<v Speaker 2>It's not going to work well that you can't said.

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<v Speaker 3>That it is all. It's already it's already been set off.

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<v Speaker 3>So I take canvases, cover them in a watercolor paper,

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<v Speaker 3>and then I I do these controlled explosions. They're not

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<v Speaker 3>very big because I'm doing in my backyard.

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<v Speaker 2>Oh my god.

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<v Speaker 3>Yeah, don't tell anybody anybody, but I have I have

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<v Speaker 3>a storage of really old dirty black powder, like not

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<v Speaker 3>the clean kind because they change the recipe, but like

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<v Speaker 3>the old stuff that they would put in canons. So

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<v Speaker 3>I have this old black powder. And when I was

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<v Speaker 3>on MythBusters, I learned how much I loved the detritus

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<v Speaker 3>that was left behind when we do explosions, and so

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<v Speaker 3>I'm like.

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<v Speaker 4>I wonder if I could make that into our work.

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<v Speaker 3>So I started exploding things on paper and using clay

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<v Speaker 3>to mask things off, and I made these kind of

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<v Speaker 3>really cool explorations in What's Left Behind, which is basically

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<v Speaker 3>at that point just a charcoal painting. And then I

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<v Speaker 3>discovered there's other artists that do this. There's like a

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<v Speaker 3>really famous Chinese artist that does this much bigger and

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<v Speaker 3>better than I do. But it's it's just another way

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<v Speaker 3>I can have an expression of art well, still blown, but.

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<v Speaker 2>It's got to be it's got to be abstracts.

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<v Speaker 1>Like, it's not like you said something off and suddenly

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<v Speaker 1>there's a horse or something like that.

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<v Speaker 4>Right Actruly, I do a lot of abstract stuff.

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<v Speaker 3>All of my abstract stuff has a theme of connectivity,

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<v Speaker 3>humanity and quantum physics. But then every now and then,

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<v Speaker 3>like I will do pieces where I take this palmer

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<v Speaker 3>clay and then I will extrude it into these long,

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<v Speaker 3>skinny pieces and I will put it on a paper.

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<v Speaker 3>I did one recently for my friend who had lost

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<v Speaker 3>her her dog, and so did a portrait of her

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<v Speaker 3>dog using this clay to kind of mask off an

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<v Speaker 3>area that would create negative space, and then I exploded

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<v Speaker 3>black powder behind it, and it makes this really cool

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<v Speaker 3>charcoal painting. But it's almost like it's like when you

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<v Speaker 3>look at the negative space is white and then.

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<v Speaker 2>The background the explosions.

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<v Speaker 3>Yeah, but it creates this sort of chaos because like

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<v Speaker 3>the little the grain that I use, I use a

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<v Speaker 3>really big grain because I like how it shoots around

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<v Speaker 3>the page and makes these little like squiggly marks, and

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<v Speaker 3>then parts of it kind of explosive.

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<v Speaker 2>Do you have to use special paper you blow up

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<v Speaker 2>your paper?

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<v Speaker 3>Well, I've I've done a lot of experimenting, as you

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<v Speaker 3>know I like to do, and I've figured out, you know,

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<v Speaker 3>it's if you contain the black powder, it creates an

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<v Speaker 3>explosion and that's when things get destroyed and there's just chaos.

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<v Speaker 3>But if you if it's open air, it just goes

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<v Speaker 3>and it just leaves charcoal behind. I mean, mind you,

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<v Speaker 3>My daughter hates it because the smell of sulfur lofting

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<v Speaker 3>up into her room.

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<v Speaker 4>She's like, oh, it smells like smoky farts. I hate it.

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<v Speaker 1>Well, I do quite like the smell of smoky for

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<v Speaker 1>or I was going to say sulfur, and then I

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<v Speaker 1>said smoky farts. But I say, I think I meant

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<v Speaker 1>smoky farts. What I'm saying is that that's that's kind

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<v Speaker 1>of my smell is smoky.

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<v Speaker 2>I like to go smoky. I remember actually.

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<v Speaker 1>There was an episode of myth Busters were you guys

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<v Speaker 1>did collect your farts in a jar?

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<v Speaker 4>There was we did a lot of farts are funny.

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<v Speaker 2>They are I totally agree.

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<v Speaker 1>I always killed but they but they I do remember

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<v Speaker 1>because I remember seeing you doing sit ups and Adam

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<v Speaker 1>doing sit ups and catcows and stuff like that to

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<v Speaker 1>try and collect to see how much was so much

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<v Speaker 1>gas a human creates in a day or something.

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<v Speaker 2>I don't know. It was some it was fantastic. I

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<v Speaker 2>remember that.

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<v Speaker 3>There was a lot of things that I think I

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<v Speaker 3>worked on them. And do girls fart?

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<v Speaker 2>I mean wow, that made it as far as the show.

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<v Speaker 4>Girls, I mean yeah, it was a bunch of mini myths.

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<v Speaker 3>And that one they raked up a pair of hydrogen

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<v Speaker 3>sulfide detecting panties.

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<v Speaker 4>Hey, when Jamie says panties, it freaks me out.

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<v Speaker 2>Yes, I'm in London right now, so you can say pants, mean.

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<v Speaker 4>I can say pants.

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<v Speaker 1>Yeah, yeah, well, pants, and then then it will be underpants.

0:11:31.679 --> 0:11:34.200
<v Speaker 1>But if you said it's a whole thing, you know

0:11:34.320 --> 0:11:37.960
<v Speaker 1>how it is. Tell me that though, when before you

0:11:38.000 --> 0:11:40.240
<v Speaker 1>were in because I know I met you when you

0:11:40.240 --> 0:11:42.280
<v Speaker 1>were doing MythBusters because I have such a fan of

0:11:42.320 --> 0:11:45.120
<v Speaker 1>the show. And then you guys came down and we

0:11:45.160 --> 0:11:49.680
<v Speaker 1>started kind of hanging out and stuff like that. But

0:11:49.720 --> 0:11:52.960
<v Speaker 1>before your life in myth Busters, I mean you were

0:11:53.000 --> 0:11:55.079
<v Speaker 1>straight out of college, right.

0:11:56.200 --> 0:11:57.480
<v Speaker 4>No ish?

0:11:57.559 --> 0:12:01.440
<v Speaker 3>I So after college, I packed a backpack and I

0:12:01.480 --> 0:12:02.280
<v Speaker 3>traveled around.

0:12:02.040 --> 0:12:04.680
<v Speaker 4>The world for about a year. No way did she

0:12:04.720 --> 0:12:06.160
<v Speaker 4>get country to country.

0:12:06.520 --> 0:12:10.520
<v Speaker 3>I started going west from California, so I left San

0:12:10.600 --> 0:12:15.199
<v Speaker 3>Francisco and yeah, I almost said that year, Okay, this

0:12:15.240 --> 0:12:16.320
<v Speaker 3>is going to date me up.

0:12:16.640 --> 0:12:19.480
<v Speaker 4>In nineteen ninety eight, I left and.

0:12:19.679 --> 0:12:25.199
<v Speaker 3>I went to Rare Tonga and Fiji and New Zealand, Australia,

0:12:25.400 --> 0:12:30.880
<v Speaker 3>worked my way up through Bali, through Southeast Asia, Japan, India, nepoal.

0:12:30.880 --> 0:12:33.520
<v Speaker 4>Worked my wayward to Europe and down to Egypt.

0:12:33.520 --> 0:12:36.960
<v Speaker 3>A couple of times, I just I just kind of

0:12:37.320 --> 0:12:40.199
<v Speaker 3>kept moving. And I started out the trip with another girl,

0:12:40.600 --> 0:12:42.240
<v Speaker 3>and then a couple of countries in we split off

0:12:42.240 --> 0:12:42.960
<v Speaker 3>and did our own things.

0:12:42.960 --> 0:12:45.280
<v Speaker 4>So I was traveling alone a lot and making friends

0:12:45.280 --> 0:12:46.400
<v Speaker 4>along the way and lazies.

0:12:46.559 --> 0:12:48.400
<v Speaker 2>You have a door, would you would you let your

0:12:48.400 --> 0:12:49.000
<v Speaker 2>door do that?

0:12:49.160 --> 0:12:49.360
<v Speaker 1>Then?

0:12:50.240 --> 0:12:53.760
<v Speaker 3>I feel like at that age she would be an adult.

0:12:54.040 --> 0:12:57.440
<v Speaker 3>And it was the most transformative educational experience I ever had.

0:12:57.840 --> 0:13:01.360
<v Speaker 3>I feel like my entire life has been shaped around

0:13:01.480 --> 0:13:05.760
<v Speaker 3>the mission to build bridges and connect with people and

0:13:06.440 --> 0:13:11.040
<v Speaker 3>just feel that humanity. And I learned so much about

0:13:11.080 --> 0:13:13.559
<v Speaker 3>myself in the world. And you know, when I left college,

0:13:13.600 --> 0:13:16.600
<v Speaker 3>I was still in that sort of like crazy phase,

0:13:16.720 --> 0:13:18.880
<v Speaker 3>and I feel like it grounded me in a really

0:13:18.920 --> 0:13:19.600
<v Speaker 3>interesting way.

0:13:19.720 --> 0:13:21.920
<v Speaker 2>And how did you go to college? What did you study?

0:13:22.160 --> 0:13:25.520
<v Speaker 3>San Francisco State. I wanted to go for film sculpture.

0:13:26.480 --> 0:13:28.760
<v Speaker 3>I just something laraty at the time, which is how

0:13:28.800 --> 0:13:30.040
<v Speaker 3>I kind of ended up that come.

0:13:30.000 --> 0:13:32.280
<v Speaker 2>From your parents? Then? Were you an arty family?

0:13:33.559 --> 0:13:36.640
<v Speaker 4>No, I mean the Byrons.

0:13:36.000 --> 0:13:40.280
<v Speaker 1>Well, I mean I mean, but Byron was first of all,

0:13:40.280 --> 0:13:43.760
<v Speaker 1>He's Scottish and I think he was a bit of

0:13:43.800 --> 0:13:45.920
<v Speaker 1>a bit of a drunk actually.

0:13:45.640 --> 0:13:47.640
<v Speaker 2>Byron, Oh, yeah, he was.

0:13:47.960 --> 0:13:49.120
<v Speaker 4>He was wild.

0:13:49.200 --> 0:13:52.440
<v Speaker 3>I mean, I am not entirely proud of some of

0:13:52.480 --> 0:13:59.079
<v Speaker 3>the things that that side. His father brought, uh, venereal diseases,

0:13:59.120 --> 0:13:59.960
<v Speaker 3>to like the cook eye.

0:14:00.320 --> 0:14:02.400
<v Speaker 4>I think that I think there's been a lot of

0:14:02.679 --> 0:14:03.480
<v Speaker 4>a lot of mayhem.

0:14:03.640 --> 0:14:05.079
<v Speaker 2>But he would he.

0:14:05.000 --> 0:14:09.160
<v Speaker 1>Would definitely be canceled now Byron. There's no way he

0:14:09.200 --> 0:14:12.840
<v Speaker 1>had survived in social media, no way. There's so many

0:14:12.880 --> 0:14:15.200
<v Speaker 1>people know that would not have survived that.

0:14:15.760 --> 0:14:16.040
<v Speaker 2>Uh.

0:14:16.200 --> 0:14:18.320
<v Speaker 1>Although I don't know, you canceled a drunk poet, but

0:14:18.960 --> 0:14:23.400
<v Speaker 1>probably you don't drunk put with the title. Well that's it,

0:14:23.760 --> 0:14:26.040
<v Speaker 1>You're canceled. I don't care.

0:14:27.920 --> 0:14:30.920
<v Speaker 2>I don't think it would matter. But the fact I have.

0:14:31.000 --> 0:14:34.680
<v Speaker 3>A lot of bastard children. He had one child that

0:14:34.720 --> 0:14:36.640
<v Speaker 3>he claimed. Now this is this is sort of the

0:14:36.840 --> 0:14:39.720
<v Speaker 3>the ancestor that I tell my kid about because I

0:14:39.760 --> 0:14:43.760
<v Speaker 3>was so proud. So he had a daughter, Ada of Lovelace,

0:14:45.080 --> 0:14:48.200
<v Speaker 3>who she was really sick when she was young, and

0:14:48.240 --> 0:14:51.600
<v Speaker 3>her mother was not into Lord Byron. So she she

0:14:51.720 --> 0:14:54.760
<v Speaker 3>stole her way and tried to break the poetry out

0:14:54.760 --> 0:14:56.040
<v Speaker 3>of her with math.

0:14:56.320 --> 0:14:57.640
<v Speaker 4>She made her study.

0:14:57.400 --> 0:15:00.320
<v Speaker 1>Math, so kind of like praise the way, but with

0:15:00.440 --> 0:15:01.560
<v Speaker 1>math that's crazy.

0:15:01.880 --> 0:15:03.600
<v Speaker 4>Yeah, she's just like, I'm going to get all the

0:15:03.720 --> 0:15:05.280
<v Speaker 4>RT out of you. I'm going to I'm going to

0:15:05.320 --> 0:15:06.040
<v Speaker 4>train you in math.

0:15:06.120 --> 0:15:10.720
<v Speaker 3>So when this woman grew up, she hooked up with

0:15:10.760 --> 0:15:14.280
<v Speaker 3>this guy Charles Babbage, who was and they created He

0:15:14.320 --> 0:15:17.320
<v Speaker 3>had created a counting machine like a giant calculator, and

0:15:17.960 --> 0:15:24.000
<v Speaker 3>she used that machine as an application to create rugs

0:15:24.000 --> 0:15:26.760
<v Speaker 3>with pictures on them. She was sort of the grandmother

0:15:26.800 --> 0:15:29.320
<v Speaker 3>of computer science because she's the one that figured out

0:15:29.960 --> 0:15:33.000
<v Speaker 3>with all those ones and cereals you can create. So

0:15:34.040 --> 0:15:37.040
<v Speaker 3>we wouldn't have I don't think computers today if it

0:15:37.080 --> 0:15:39.640
<v Speaker 3>wasn't for that connection between our science.

0:15:40.200 --> 0:15:42.440
<v Speaker 4>So she's the revolutionary.

0:15:42.600 --> 0:15:43.960
<v Speaker 2>Yeah, that is fascinating.

0:15:44.000 --> 0:15:46.720
<v Speaker 1>It was also, I mean, the idea that math would

0:15:48.040 --> 0:15:51.000
<v Speaker 1>push the r of someone as such a ridiculous notion.

0:15:51.280 --> 0:15:54.520
<v Speaker 1>You think of Leonardo da Vinci, who is pretty much

0:15:54.560 --> 0:15:57.880
<v Speaker 1>a mathematician who did are or an artist mathematician and

0:15:58.360 --> 0:16:02.440
<v Speaker 1>pretty good one, not as well and probably gay.

0:16:04.120 --> 0:16:04.920
<v Speaker 4>I've heard that, I've.

0:16:04.840 --> 0:16:06.320
<v Speaker 2>Heard, Yeah, I think so. I think.

0:16:06.480 --> 0:16:10.880
<v Speaker 1>I think back then the sexuality in medieval Italy, Middle

0:16:10.920 --> 0:16:14.000
<v Speaker 1>Ages and Netlie it was like, you know whatever, you know, male,

0:16:14.560 --> 0:16:17.640
<v Speaker 1>it's a fluid, Hey, what's the coming ago? It doesn't matter,

0:16:18.000 --> 0:16:21.840
<v Speaker 1>everything is fine. So you leave there and you go

0:16:21.880 --> 0:16:23.680
<v Speaker 1>with me. How did you end up? You just went

0:16:23.720 --> 0:16:26.200
<v Speaker 1>to metaphors? This as an intern job that was because

0:16:26.560 --> 0:16:30.080
<v Speaker 1>because of the connection with industrial light and magic, right,

0:16:30.400 --> 0:16:33.040
<v Speaker 1>was that the thing you wanted at the time?

0:16:33.560 --> 0:16:36.240
<v Speaker 3>Uh, MythBusters wasn't there. So I just got a job

0:16:36.440 --> 0:16:37.040
<v Speaker 3>for Jamie.

0:16:37.360 --> 0:16:39.640
<v Speaker 1>Oh it was just Jamie. You was just wanting for Jamie.

0:16:40.080 --> 0:16:42.080
<v Speaker 1>How did you meet Jamie for Good's Day? I mean, Jay,

0:16:42.120 --> 0:16:45.000
<v Speaker 1>I can't imagine. Jamie's a person that you would meet socially.

0:16:45.160 --> 0:16:47.160
<v Speaker 1>How did you how they held you bump into Jamie?

0:16:47.920 --> 0:16:48.960
<v Speaker 4>Yeah, it wasn't socially.

0:16:49.200 --> 0:16:50.440
<v Speaker 2>No, I can't imagine.

0:16:51.240 --> 0:16:54.440
<v Speaker 3>So he had sort of a general manager of his

0:16:54.480 --> 0:16:58.400
<v Speaker 3>shop that was teaching a sculpting for special effects class

0:16:58.440 --> 0:16:59.320
<v Speaker 3>to college kids.

0:16:59.320 --> 0:17:01.240
<v Speaker 4>And one of my friends at that class.

0:17:01.080 --> 0:17:04.280
<v Speaker 3>And he was like, oh, Carrie would love this, like

0:17:04.760 --> 0:17:07.800
<v Speaker 3>it's this incredible workshop. Like you should go hit him

0:17:07.840 --> 0:17:09.480
<v Speaker 3>up and see if you can get an internship because

0:17:09.480 --> 0:17:11.359
<v Speaker 3>this is what you've been trying to do. And I

0:17:11.400 --> 0:17:15.720
<v Speaker 3>heard he gets everybody their first job. So I put

0:17:15.760 --> 0:17:18.560
<v Speaker 3>together a portfolio and he, you know, introduced me to

0:17:18.640 --> 0:17:22.520
<v Speaker 3>Jamie and the next day I was back. I mean,

0:17:22.560 --> 0:17:24.400
<v Speaker 3>I had a job as a receptionist and I called

0:17:24.440 --> 0:17:28.440
<v Speaker 3>in sick. I just started showing up at Jamie's shop,

0:17:28.480 --> 0:17:30.320
<v Speaker 3>like just in case Jamie was going to throw me

0:17:30.320 --> 0:17:34.040
<v Speaker 3>out because you know, at first he wasn't really that

0:17:34.160 --> 0:17:36.400
<v Speaker 3>impressed with me. I have to say, he was just.

0:17:36.320 --> 0:17:39.040
<v Speaker 2>Like some guy to impress, you know, I mean, it.

0:17:38.960 --> 0:17:39.600
<v Speaker 4>Takes a minute.

0:17:39.640 --> 0:17:40.560
<v Speaker 2>It takes a minute.

0:17:47.560 --> 0:17:50.120
<v Speaker 1>What happened though with myth Busters, it's such an odd

0:17:50.160 --> 0:17:52.600
<v Speaker 1>thing because it was such a strange. I always felt

0:17:52.640 --> 0:17:55.320
<v Speaker 1>very connected to myth Busters. I always thought that the

0:17:55.680 --> 0:17:58.560
<v Speaker 1>late night show that I'm myth Busters were kind of

0:17:58.640 --> 0:18:01.800
<v Speaker 1>out of the same thing. They were anomalies, They shouldn't

0:18:01.840 --> 0:18:05.000
<v Speaker 1>really have happened, they shouldn't really have been successful.

0:18:05.040 --> 0:18:07.960
<v Speaker 2>But they both were by people who kind of like.

0:18:08.240 --> 0:18:13.680
<v Speaker 1>Drifted into it for kind of sideways and the idea

0:18:13.760 --> 0:18:18.000
<v Speaker 1>of you know, when you became you know, visible and

0:18:18.080 --> 0:18:19.960
<v Speaker 1>famous and stuff like that. Because this sounds like to

0:18:20.000 --> 0:18:21.920
<v Speaker 1>me that that was something that you were cultivating or

0:18:21.960 --> 0:18:23.080
<v Speaker 1>even wanted to be part of.

0:18:23.920 --> 0:18:26.000
<v Speaker 3>So I know, you said I looked like I was

0:18:26.040 --> 0:18:28.919
<v Speaker 3>comfortable on camera, but I was not. I was a

0:18:29.080 --> 0:18:33.480
<v Speaker 3>shy person, right that pretends to be extroverted. So, I

0:18:33.520 --> 0:18:36.560
<v Speaker 3>mean it was hard at first.

0:18:36.119 --> 0:18:38.159
<v Speaker 1>Yeah, I think it first, but it kind of it

0:18:38.160 --> 0:18:41.000
<v Speaker 1>gets easier right then, you get it didn't get easier

0:18:41.000 --> 0:18:41.400
<v Speaker 1>over time.

0:18:41.440 --> 0:18:42.919
<v Speaker 2>I mean how long you guys did that show for

0:18:42.920 --> 0:18:44.600
<v Speaker 2>for ten years? Yeah?

0:18:44.640 --> 0:18:45.359
<v Speaker 4>Over ten years?

0:18:45.440 --> 0:18:49.879
<v Speaker 1>Yeah, I mean it's yeah, it becomes a thing. And

0:18:49.920 --> 0:18:53.920
<v Speaker 1>then Grant coming in. He came in in season two

0:18:54.000 --> 0:18:55.560
<v Speaker 1>or something else, season three, is that right?

0:18:56.520 --> 0:18:57.560
<v Speaker 4>Don't remember what season?

0:18:57.880 --> 0:19:01.399
<v Speaker 3>Seasons are difficult for me because I was wild West

0:19:01.440 --> 0:19:04.600
<v Speaker 3>of Networks and you know, we made more than three

0:19:04.680 --> 0:19:06.879
<v Speaker 3>hundred and fifty episodes, but like the first season of

0:19:06.920 --> 0:19:09.560
<v Speaker 3>MythBusters was like three episodes, and then the second was

0:19:09.600 --> 0:19:12.800
<v Speaker 3>like ten, and then they realized our contracts only needed

0:19:12.800 --> 0:19:15.280
<v Speaker 3>to be renegotiated per season, so all of a sudden,

0:19:15.280 --> 0:19:17.560
<v Speaker 3>the season would be thirty six episodes.

0:19:17.600 --> 0:19:21.400
<v Speaker 2>Oh man, that's awful. That's awful.

0:19:22.359 --> 0:19:24.359
<v Speaker 1>Do you still what I mean, what does it look

0:19:24.440 --> 0:19:28.520
<v Speaker 1>like now post MythBusters? Well, I mean we lost Grint,

0:19:28.720 --> 0:19:32.520
<v Speaker 1>which was such a terrible, terrible shock, I mean, just awful,

0:19:32.960 --> 0:19:37.040
<v Speaker 1>and everyone seems to be doing rather well likely, you know,

0:19:37.119 --> 0:19:40.439
<v Speaker 1>I mean you now have that you're like you're the

0:19:40.560 --> 0:19:41.760
<v Speaker 1>science thing that you do?

0:19:41.840 --> 0:19:42.680
<v Speaker 2>What is that?

0:19:43.960 --> 0:19:46.320
<v Speaker 3>So? You know, after MythBusters, Tory and I tried and

0:19:46.359 --> 0:19:49.480
<v Speaker 3>tried to come up with other shows that we might

0:19:49.720 --> 0:19:52.200
<v Speaker 3>do the same thing or give us this great experience,

0:19:52.240 --> 0:19:56.959
<v Speaker 3>and you know, nothing took off past the season, but

0:19:57.080 --> 0:19:59.240
<v Speaker 3>you know, we were friends and we want to just keep.

0:19:59.200 --> 0:20:03.120
<v Speaker 4>Working, you know, if you want to scoop right now.

0:20:03.320 --> 0:20:05.399
<v Speaker 3>The reason that I'm setting up the studio and it

0:20:05.400 --> 0:20:07.800
<v Speaker 3>looks so blank right now is that Tory and I

0:20:08.000 --> 0:20:10.920
<v Speaker 3>might be pre production putting together a podcast.

0:20:11.400 --> 0:20:13.560
<v Speaker 1>Oh that's a great idea. I mean, of course that's

0:20:13.600 --> 0:20:15.760
<v Speaker 1>the way to do it now as well. I mean,

0:20:15.880 --> 0:20:18.640
<v Speaker 1>I mean, obviously you can have this podcast. I'm I'm

0:20:18.680 --> 0:20:20.479
<v Speaker 1>going to do this until my contracts up, and now

0:20:20.520 --> 0:20:21.399
<v Speaker 1>I'm not doing it anymore.

0:20:21.600 --> 0:20:24.360
<v Speaker 4>Then, Yeah, I would I like.

0:20:24.320 --> 0:20:26.520
<v Speaker 2>To quit things. I just like to Ah, it's enough

0:20:26.520 --> 0:20:28.399
<v Speaker 2>of that to try your career.

0:20:28.560 --> 0:20:31.119
<v Speaker 1>Yeah, my god, it's enough of that.

0:20:32.040 --> 0:20:33.640
<v Speaker 2>We can try something else now.

0:20:33.960 --> 0:20:35.800
<v Speaker 1>But so what would you do in the pot if,

0:20:36.160 --> 0:20:40.480
<v Speaker 1>hypothetically you and the Great Salvatory Belichi we're going to

0:20:40.560 --> 0:20:43.919
<v Speaker 1>do a podcast together and I'll have to get one

0:20:44.040 --> 0:20:45.800
<v Speaker 1>that's or else you'd be mad at me, And also

0:20:45.800 --> 0:20:48.680
<v Speaker 1>I would like to talk to them. But what would

0:20:48.760 --> 0:20:50.600
<v Speaker 1>you do in your podcast if you were going to

0:20:50.600 --> 0:20:51.640
<v Speaker 1>do a podcast with Tori?

0:20:52.400 --> 0:20:55.320
<v Speaker 3>So we had always said with you know, the real

0:20:55.359 --> 0:20:57.680
<v Speaker 3>show was never what you guys saw the real show

0:20:57.840 --> 0:21:02.120
<v Speaker 3>was the hilarity behind the scenes because we were all friends.

0:21:02.480 --> 0:21:05.159
<v Speaker 3>I mean, we were pranking each other. We were talking

0:21:05.200 --> 0:21:06.760
<v Speaker 3>about weird stuff that we saw.

0:21:06.800 --> 0:21:08.440
<v Speaker 4>We're like, oh my god, did you see that thing

0:21:08.440 --> 0:21:09.480
<v Speaker 4>about the zombie ants?

0:21:09.520 --> 0:21:12.560
<v Speaker 3>You know, we would spend all this time with the

0:21:12.600 --> 0:21:15.160
<v Speaker 3>weirdness of trying to produce the show. You know, hey,

0:21:15.320 --> 0:21:16.840
<v Speaker 3>can you give us a cow stomach? With all the

0:21:16.880 --> 0:21:20.000
<v Speaker 3>ventricles attached? Like, there's so many behind the scenes stories,

0:21:20.320 --> 0:21:23.560
<v Speaker 3>plus all of the weird intricacies of the conversations that

0:21:23.600 --> 0:21:26.320
<v Speaker 3>we would have. So it's basically going to be like,

0:21:26.680 --> 0:21:30.359
<v Speaker 3>what's going on now? What things interest us? Relate it

0:21:30.400 --> 0:21:33.480
<v Speaker 3>possibly to something back on MythBusters, because that's our shared

0:21:33.600 --> 0:21:35.960
<v Speaker 3>history and we have so much of it. And then

0:21:36.320 --> 0:21:40.440
<v Speaker 3>you know, maybe talk to some experts about things like cryogenics,

0:21:40.880 --> 0:21:43.560
<v Speaker 3>Like let's go talk to a professor that can tell us,

0:21:43.840 --> 0:21:45.359
<v Speaker 3>if it's possible.

0:21:45.200 --> 0:21:46.880
<v Speaker 2>Do you know anything about cryogenics.

0:21:47.359 --> 0:21:49.439
<v Speaker 1>Look, I'm sixty two years old, though, carry so I

0:21:49.480 --> 0:21:52.560
<v Speaker 1>know I'm kind of much more interested in cryogenics than

0:21:52.560 --> 0:21:54.560
<v Speaker 1>I used to be when I was I'm.

0:21:54.440 --> 0:21:57.760
<v Speaker 3>Going to be honest with you, it's like trying to

0:21:57.760 --> 0:22:00.720
<v Speaker 3>make a cow out of Hamburger's.

0:22:00.280 --> 0:22:02.520
<v Speaker 2>Yeah, it's not going to work.

0:22:02.960 --> 0:22:05.720
<v Speaker 1>It's not going to work, all right, Well back to

0:22:05.720 --> 0:22:12.000
<v Speaker 1>philosophy then, so what about the singularity? What about putting

0:22:12.000 --> 0:22:17.280
<v Speaker 1>the human personality into the machine that the ds X machina.

0:22:17.440 --> 0:22:20.359
<v Speaker 1>Is that going to happen? Can you get inside the machine?

0:22:20.480 --> 0:22:22.480
<v Speaker 1>Can humans live as.

0:22:24.200 --> 0:22:28.160
<v Speaker 3>I am not an expert. I am somebody who likes

0:22:28.160 --> 0:22:31.920
<v Speaker 3>to talk to experts. I think that we're not going

0:22:31.920 --> 0:22:33.960
<v Speaker 3>to be able to do that because the mysteries of

0:22:34.000 --> 0:22:36.440
<v Speaker 3>all the electricity that happens to us and why it happens.

0:22:36.720 --> 0:22:41.080
<v Speaker 3>I mean, we're just these electrified meat puppets that you know,

0:22:41.119 --> 0:22:42.639
<v Speaker 3>it's a mystery why we exist.

0:22:42.680 --> 0:22:44.359
<v Speaker 4>I don't think that that's going to happen.

0:22:44.440 --> 0:22:49.960
<v Speaker 3>But I am incredibly impressed by what AI is doing.

0:22:50.000 --> 0:22:50.880
<v Speaker 4>And I have a lot of friends.

0:22:50.920 --> 0:22:52.879
<v Speaker 3>I live in the Silicon Valley and I have a

0:22:52.880 --> 0:22:55.400
<v Speaker 3>lot of friends in DC and all of the policy

0:22:55.520 --> 0:22:58.320
<v Speaker 3>I have know. I know people in AI that are

0:22:59.000 --> 0:23:03.720
<v Speaker 3>you know, the luminaries, and they are hopeful, they are fearful,

0:23:03.800 --> 0:23:07.120
<v Speaker 3>and they are astounded by how quickly it's developing. And

0:23:07.160 --> 0:23:10.480
<v Speaker 3>now AI through the Internet. It's not just AI talking

0:23:10.480 --> 0:23:13.440
<v Speaker 3>to us, it's AI talking to each other. So there's

0:23:13.480 --> 0:23:16.080
<v Speaker 3>just this whole undercurrent of robots talking to each other,

0:23:16.119 --> 0:23:18.280
<v Speaker 3>and it's the thinking is getting.

0:23:19.720 --> 0:23:24.159
<v Speaker 1>Human can we can we can we conduct surveillance. So

0:23:24.200 --> 0:23:26.800
<v Speaker 1>in these robots as they talk to each other, presumably

0:23:26.880 --> 0:23:28.200
<v Speaker 1>they're not keeping secrets.

0:23:28.760 --> 0:23:30.640
<v Speaker 3>No, I don't think they're hiding it. I don't think

0:23:30.680 --> 0:23:33.840
<v Speaker 3>we would fully understand it, but they. I mean Deep

0:23:33.920 --> 0:23:36.680
<v Speaker 3>Seek is the latest AI to come out, and really

0:23:36.720 --> 0:23:40.639
<v Speaker 3>really yeah, I was really interested in this because it

0:23:40.760 --> 0:23:43.439
<v Speaker 3>shows you it's thinking and how it comes to its conclusions,

0:23:43.480 --> 0:23:46.639
<v Speaker 3>which is it's a little different and it's so human

0:23:46.680 --> 0:23:50.840
<v Speaker 3>in the way that it relates. I think that that's

0:23:50.880 --> 0:23:53.800
<v Speaker 3>what's so interesting to me is that people are trying

0:23:53.840 --> 0:23:56.800
<v Speaker 3>to make it have humanity so that it can connect

0:23:56.800 --> 0:23:58.719
<v Speaker 3>with you better, so that you can feed the beasts,

0:23:58.720 --> 0:23:59.960
<v Speaker 3>so you can give it more material.

0:24:00.960 --> 0:24:02.040
<v Speaker 4>It's it's it's.

0:24:01.920 --> 0:24:04.480
<v Speaker 3>Wildly interesting, but it also only can feed off of

0:24:04.520 --> 0:24:07.679
<v Speaker 3>what we give it, so right, I do think that

0:24:08.080 --> 0:24:11.400
<v Speaker 3>humans in their creativity, if you don't put it online,

0:24:11.840 --> 0:24:14.000
<v Speaker 3>it doesn't have it.

0:24:14.200 --> 0:24:16.879
<v Speaker 1>Yeah, or just take the battery out. I mean I

0:24:16.920 --> 0:24:19.119
<v Speaker 1>always thought that, but terminators.

0:24:18.520 --> 0:24:21.840
<v Speaker 2>Like just don't plug it for God's sake, kill the battery.

0:24:22.160 --> 0:24:25.160
<v Speaker 1>Just get the battery over there, or pour some water

0:24:25.280 --> 0:24:27.920
<v Speaker 1>on it every time you like, drop it in the toilet.

0:24:28.440 --> 0:24:29.880
<v Speaker 2>That's said, that will take care of it.

0:24:30.160 --> 0:24:32.800
<v Speaker 4>But the just flush the terminator.

0:24:32.359 --> 0:24:34.320
<v Speaker 2>Flushinators, take it in the.

0:24:34.280 --> 0:24:36.640
<v Speaker 4>Toilet, blush it like an old high school movie.

0:24:36.840 --> 0:24:38.760
<v Speaker 2>Look look, terminator. What's that that looks like?

0:24:38.840 --> 0:24:41.720
<v Speaker 1>I think John Connor's and the toilet terminator and then

0:24:42.560 --> 0:24:45.119
<v Speaker 1>was swirly and you're done.

0:24:45.640 --> 0:24:46.240
<v Speaker 2>I think that.

0:24:47.760 --> 0:24:50.520
<v Speaker 1>I think that there's so much talk about it though

0:24:50.600 --> 0:24:52.919
<v Speaker 1>the AI have. I mean every conversation I have with

0:24:53.000 --> 0:24:54.960
<v Speaker 1>everybody right now, at some point, if you talk to

0:24:55.000 --> 0:24:57.000
<v Speaker 1>anyone for more than ten minutes, you're talking to them

0:24:57.000 --> 0:24:57.600
<v Speaker 1>about AI.

0:24:58.000 --> 0:25:01.640
<v Speaker 2>Once you get past you know, the like or whatever.

0:25:02.040 --> 0:25:06.000
<v Speaker 1>And I'm fascinated because most people I talk to are

0:25:06.080 --> 0:25:09.200
<v Speaker 1>quite afraid of it. But these are the people who

0:25:09.280 --> 0:25:11.960
<v Speaker 1>don't use it. People who use it are not afraid

0:25:12.000 --> 0:25:14.240
<v Speaker 1>of it at all. I talked to it, I mean

0:25:14.600 --> 0:25:18.000
<v Speaker 1>a surgeon who was like, Oh, this is the greatest

0:25:18.080 --> 0:25:22.040
<v Speaker 1>leap for surgery. This is amazing, this start, I mean,

0:25:22.119 --> 0:25:24.200
<v Speaker 1>this is just it's changing the game. We're going to

0:25:24.280 --> 0:25:26.800
<v Speaker 1>be able to save so many more lives with this

0:25:26.920 --> 0:25:28.160
<v Speaker 1>kind of technology.

0:25:28.160 --> 0:25:30.560
<v Speaker 2>I mean, he's really gung o about it. He loved it.

0:25:31.359 --> 0:25:33.439
<v Speaker 3>I mean, it's like any technology that little, you know,

0:25:33.520 --> 0:25:36.760
<v Speaker 3>iPhone in my hand revolutionize my life. I have so

0:25:36.840 --> 0:25:40.199
<v Speaker 3>much more connectivity. But it's also something that sucks me

0:25:40.280 --> 0:25:41.280
<v Speaker 3>into the light. You know.

0:25:41.440 --> 0:25:42.920
<v Speaker 2>Yeah, it's time.

0:25:43.000 --> 0:25:46.160
<v Speaker 3>But I mean that's if you're talking to people are afraid.

0:25:46.320 --> 0:25:50.600
<v Speaker 3>I'm thinking that you're mostly talking to adults who came

0:25:50.680 --> 0:25:51.640
<v Speaker 3>up without it.

0:25:51.920 --> 0:25:54.520
<v Speaker 1>I really have two children, and one of them already

0:25:54.600 --> 0:25:57.919
<v Speaker 1>is an adult. So yeah, I talked to one child

0:25:58.000 --> 0:26:02.200
<v Speaker 1>pretty much that's it. He's fourteen, so I mean he's

0:26:02.240 --> 0:26:04.520
<v Speaker 1>not afraid of that at all. Yeah, of course, right.

0:26:05.280 --> 0:26:08.600
<v Speaker 3>But I'm so one of you were asking post MythBusters.

0:26:08.640 --> 0:26:11.040
<v Speaker 3>I am currently the director of the National Stem Festival,

0:26:11.040 --> 0:26:15.280
<v Speaker 3>which is basically the nation's science fair, right, and a

0:26:15.320 --> 0:26:18.720
<v Speaker 3>lot of these kids are using AI machine learning in

0:26:18.840 --> 0:26:23.720
<v Speaker 3>such interesting ways to try to come up with solutions

0:26:23.720 --> 0:26:27.760
<v Speaker 3>to big challenges around the world. I mean everything from uh,

0:26:27.840 --> 0:26:31.879
<v Speaker 3>there's this kid Tyler in Connecticut who's come up with

0:26:34.000 --> 0:26:41.880
<v Speaker 3>a cost effective test that can find iodine deficiencies, and

0:26:42.040 --> 0:26:45.040
<v Speaker 3>all of the data that comes from that is going

0:26:45.080 --> 0:26:49.880
<v Speaker 3>to actually create a base for us to understand why

0:26:49.960 --> 0:26:53.280
<v Speaker 3>millions of people have an iodine deficiency. And he's come

0:26:53.359 --> 0:26:57.720
<v Speaker 3>up with a two dollars saliva based color metric test

0:26:58.280 --> 0:27:01.280
<v Speaker 3>that can you know, you can send it in and

0:27:01.400 --> 0:27:03.800
<v Speaker 3>get results quickly and find out if you have an

0:27:03.800 --> 0:27:04.840
<v Speaker 3>iodine deficiency.

0:27:05.080 --> 0:27:07.919
<v Speaker 1>Well would why would that be important about having an

0:27:07.960 --> 0:27:08.919
<v Speaker 1>ida in deficiency?

0:27:09.040 --> 0:27:10.600
<v Speaker 2>What would that do to you if you're an iida

0:27:10.640 --> 0:27:11.280
<v Speaker 2>in deficiency.

0:27:11.320 --> 0:27:15.439
<v Speaker 3>There's also some sorts of like neurological and physical issues

0:27:15.440 --> 0:27:19.800
<v Speaker 3>that come from any sort of deficiency. I mean, some

0:27:19.840 --> 0:27:22.200
<v Speaker 3>of these kids are using it for like last year,

0:27:22.240 --> 0:27:25.760
<v Speaker 3>there was this one girl who used pictures of eyes

0:27:26.119 --> 0:27:30.760
<v Speaker 3>and the machine learned to be able to detect if

0:27:30.800 --> 0:27:33.280
<v Speaker 3>you had anemia. Because anemia is a real problem. It

0:27:33.359 --> 0:27:35.680
<v Speaker 3>can create all kinds of problems, especially if you're sick

0:27:36.040 --> 0:27:39.200
<v Speaker 3>and old. And her grandmother had anemeia and it was undiagnosed.

0:27:39.200 --> 0:27:42.359
<v Speaker 3>So she came up with a way for machine learning

0:27:42.440 --> 0:27:44.840
<v Speaker 3>to predict anemia through pictures of your eyes.

0:27:44.920 --> 0:27:46.480
<v Speaker 2>I mean, that's pretty cool.

0:27:46.560 --> 0:27:49.520
<v Speaker 1>So non invasive kind of testing like that, I mean,

0:27:49.600 --> 0:27:52.480
<v Speaker 1>and presumably then if you can do it from an

0:27:52.560 --> 0:27:55.480
<v Speaker 1>eye scan, you can do it from a computer. Because

0:27:55.600 --> 0:27:58.480
<v Speaker 1>like I'm in Britain right now and they have socialized

0:27:58.520 --> 0:28:02.080
<v Speaker 1>medicine here, and they're, oh is struggling about trying to

0:28:02.080 --> 0:28:05.640
<v Speaker 1>get people into offices and having the right amount of people.

0:28:05.800 --> 0:28:08.520
<v Speaker 1>So I guess if you can test people using machinery

0:28:09.119 --> 0:28:11.600
<v Speaker 1>so that you know, you can scan the idea of

0:28:11.640 --> 0:28:14.280
<v Speaker 1>having a medical done by a robot.

0:28:14.400 --> 0:28:17.080
<v Speaker 2>I quite like that idea, especially the prostate example.

0:28:17.200 --> 0:28:20.040
<v Speaker 1>I feel like that would probably be if there was

0:28:20.080 --> 0:28:22.760
<v Speaker 1>a way to do that. Well, it is done digitally,

0:28:22.880 --> 0:28:27.919
<v Speaker 1>I suppose, but it's a different type of but if

0:28:27.960 --> 0:28:29.600
<v Speaker 1>there was a way to do it that it was,

0:28:29.840 --> 0:28:32.919
<v Speaker 1>you know, a little less I don't know, if it

0:28:32.920 --> 0:28:35.680
<v Speaker 1>was a little more camera ish, I'd be up for that.

0:28:36.320 --> 0:28:38.000
<v Speaker 3>Okay, I'll put it out all these genius kids and

0:28:38.040 --> 0:28:39.400
<v Speaker 3>see if somebody can come up with something.

0:28:39.920 --> 0:28:43.120
<v Speaker 1>Get your your kiddie think tank going and say, look,

0:28:43.960 --> 0:28:46.280
<v Speaker 1>I'm feeling like testing is the key.

0:28:46.480 --> 0:28:49.200
<v Speaker 2>Early detection is the key on all of these things, right,

0:28:49.480 --> 0:28:51.000
<v Speaker 2>So I'm.

0:28:50.800 --> 0:28:52.560
<v Speaker 1>Not just talking about that though, I'm sort of like

0:28:52.640 --> 0:28:55.320
<v Speaker 1>any illness early detection, right, you know, if you know early,

0:28:55.360 --> 0:28:59.920
<v Speaker 1>you can do something about it. I feel like the

0:29:00.200 --> 0:29:04.680
<v Speaker 1>development of vaccines seems to kind of go hand in

0:29:04.720 --> 0:29:06.720
<v Speaker 1>hand with that as well. These kind of weird new

0:29:06.800 --> 0:29:10.400
<v Speaker 1>vaccines that they're developing, That people are talking about vaccines

0:29:10.440 --> 0:29:12.720
<v Speaker 1>for cancerous conditions now and stuff like that. You know,

0:29:12.960 --> 0:29:16.520
<v Speaker 1>I think that's incredible to me that that kind of

0:29:16.520 --> 0:29:19.160
<v Speaker 1>thinking is going on. Is that Do you see a

0:29:19.200 --> 0:29:21.200
<v Speaker 1>lot of that in the young people that you talk to,

0:29:21.280 --> 0:29:24.440
<v Speaker 1>because obviously if you're doing that, that they are embracing

0:29:24.560 --> 0:29:28.120
<v Speaker 1>the AI in a way that older people just don't

0:29:28.280 --> 0:29:29.040
<v Speaker 1>or can't.

0:29:29.600 --> 0:29:29.880
<v Speaker 2>Yeah.

0:29:30.040 --> 0:29:32.800
<v Speaker 3>I mean I feel like they're just using it as

0:29:32.800 --> 0:29:35.880
<v Speaker 3>a tool like any other tool. I mean, they're coming

0:29:35.920 --> 0:29:41.000
<v Speaker 3>up with apps that find early Parkinson's markers or I

0:29:41.040 --> 0:29:44.400
<v Speaker 3>mean even in twenty sixteen when I did the White

0:29:44.400 --> 0:29:47.000
<v Speaker 3>House Science for there was a girl who had figured

0:29:47.040 --> 0:29:51.040
<v Speaker 3>out a way to diagnose cancer early using computer modeling.

0:29:51.080 --> 0:29:52.640
<v Speaker 4>I mean, they've been doing this for a while.

0:29:52.720 --> 0:29:54.360
<v Speaker 3>And if you think of it as a tool rather

0:29:54.400 --> 0:29:59.840
<v Speaker 3>than the evil robot that's coming for your information, it's

0:30:00.000 --> 0:30:01.880
<v Speaker 3>it's less scary. Yeah.

0:30:02.400 --> 0:30:04.520
<v Speaker 1>I wonder about all that kind of the rule boat

0:30:04.600 --> 0:30:07.880
<v Speaker 1>want your information now? I mean that do you worry

0:30:07.920 --> 0:30:09.920
<v Speaker 1>about that? Do you worry about data harvest thing in

0:30:09.960 --> 0:30:10.480
<v Speaker 1>your own life?

0:30:10.680 --> 0:30:10.960
<v Speaker 2>You do?

0:30:11.040 --> 0:30:13.840
<v Speaker 1>You have firewalls put up? I mean your computer savy,

0:30:13.920 --> 0:30:14.960
<v Speaker 1>you know how to do all that.

0:30:15.560 --> 0:30:18.160
<v Speaker 3>I do my best, but honestly, I think it has

0:30:18.240 --> 0:30:21.840
<v Speaker 3>it all anyway, because I'm also somebody who's shops online.

0:30:21.720 --> 0:30:23.480
<v Speaker 4>Yeah, I love that.

0:30:23.840 --> 0:30:25.320
<v Speaker 2>Yeah, I totally agree.

0:30:25.320 --> 0:30:27.680
<v Speaker 1>I mean, if one, if one piece of the machinery

0:30:27.680 --> 0:30:29.720
<v Speaker 1>has it, it all has it? You go in a

0:30:29.760 --> 0:30:32.920
<v Speaker 1>store to buy a pack of gum or something, They'll say,

0:30:32.960 --> 0:30:35.040
<v Speaker 1>can we have your email address? Like you have it?

0:30:35.360 --> 0:30:37.200
<v Speaker 1>You have it, Just let me scan my card and

0:30:37.240 --> 0:30:39.560
<v Speaker 1>it will come up. You already have all that information.

0:30:40.160 --> 0:30:43.040
<v Speaker 1>It's interesting to me, though, because I think of you.

0:30:43.160 --> 0:30:45.680
<v Speaker 1>Last time I saw you in San Francisco when you came.

0:30:45.800 --> 0:30:47.280
<v Speaker 1>I was doing a show and you came and you

0:30:47.320 --> 0:30:50.880
<v Speaker 1>had turned up in one of those self driving cabs,

0:30:52.280 --> 0:30:55.360
<v Speaker 1>which I still haven't done yet.

0:30:55.720 --> 0:30:59.080
<v Speaker 2>Is that freaky? Do you kind of okay with it?

0:30:59.240 --> 0:31:00.320
<v Speaker 4>Okay?

0:31:01.040 --> 0:31:04.080
<v Speaker 3>I granted I have been here in a beta testing

0:31:04.120 --> 0:31:08.480
<v Speaker 3>city for Waimo for Cruise for Zookes for years now,

0:31:08.640 --> 0:31:12.600
<v Speaker 3>so I was in some of the early prototypes of

0:31:12.640 --> 0:31:15.520
<v Speaker 3>Waimo way back in the day, and I was part

0:31:15.560 --> 0:31:18.840
<v Speaker 3>of the test program. I signed up immediately to try

0:31:18.840 --> 0:31:23.040
<v Speaker 3>these because I'm a super curious person and I just

0:31:23.160 --> 0:31:26.640
<v Speaker 3>I wanted to know more. So I interviewed and talked

0:31:26.720 --> 0:31:29.320
<v Speaker 3>to all kinds of people that made the cars, and

0:31:29.920 --> 0:31:33.680
<v Speaker 3>we're creating them. And you know, they hire hackers and

0:31:33.720 --> 0:31:36.560
<v Speaker 3>they hire all sorts of people to try to to

0:31:36.640 --> 0:31:39.040
<v Speaker 3>muck it up, to see if they can actually throw

0:31:39.080 --> 0:31:42.280
<v Speaker 3>the cars off track. But the last time I got

0:31:42.320 --> 0:31:45.920
<v Speaker 3>into a rideshare vehicle, I had a driver that had

0:31:45.960 --> 0:31:48.840
<v Speaker 3>a movie going on over here. I was talking on

0:31:48.880 --> 0:31:52.080
<v Speaker 3>a phone here, had me in the back seat. I

0:31:52.160 --> 0:31:53.920
<v Speaker 3>was driving a little bit crazy. Right.

0:31:54.000 --> 0:31:56.560
<v Speaker 4>Yeah, I'm not going to say that that's the rule,

0:31:56.640 --> 0:31:57.080
<v Speaker 4>but you.

0:31:57.320 --> 0:31:58.960
<v Speaker 2>It happens when you look at me.

0:31:59.440 --> 0:32:02.400
<v Speaker 3>Yeah, when you look at the robot car, it's got

0:32:02.680 --> 0:32:06.600
<v Speaker 3>over sixty cameras light our radar. It has a three

0:32:06.720 --> 0:32:10.280
<v Speaker 3>sixty view going on that you can actually see, which,

0:32:10.520 --> 0:32:12.480
<v Speaker 3>by the way, they only put that up for you

0:32:12.520 --> 0:32:12.920
<v Speaker 3>to see.

0:32:13.000 --> 0:32:14.040
<v Speaker 4>The car doesn't need it.

0:32:13.960 --> 0:32:15.680
<v Speaker 3>It just wants to show you, Like I can see

0:32:15.680 --> 0:32:17.680
<v Speaker 3>that cat running out into the street. I can see

0:32:17.680 --> 0:32:20.880
<v Speaker 3>that bicyclist over there. It's not going to hit anything

0:32:21.000 --> 0:32:24.000
<v Speaker 3>if it can help it, Like it's it's paying so

0:32:24.080 --> 0:32:26.360
<v Speaker 3>much more attention. It doesn't have to worry about fog

0:32:26.480 --> 0:32:29.400
<v Speaker 3>or rain or night like a lot of people can't

0:32:29.400 --> 0:32:32.560
<v Speaker 3>see it at night as well. The robo can like,

0:32:32.640 --> 0:32:35.560
<v Speaker 3>it's got the instrumentation, it has to follow the laws.

0:32:35.840 --> 0:32:39.440
<v Speaker 2>It's for example, like say like.

0:32:41.240 --> 0:32:45.560
<v Speaker 1>A person wanders out enter the road, and the option

0:32:45.680 --> 0:32:48.400
<v Speaker 1>the car has is to either hit the person or

0:32:48.480 --> 0:32:51.200
<v Speaker 1>drive off the road and hurt you.

0:32:51.520 --> 0:32:52.520
<v Speaker 2>What does it choose?

0:32:53.240 --> 0:32:57.080
<v Speaker 3>Okay, it doesn't have the morals to make those decisions.

0:32:57.080 --> 0:32:59.000
<v Speaker 3>But I don't know that I can answer this with

0:32:59.080 --> 0:33:03.640
<v Speaker 3>any expertise, because I think you have to ask them

0:33:03.720 --> 0:33:06.400
<v Speaker 3>on this one, right, Okay. I do know that it's

0:33:06.440 --> 0:33:10.400
<v Speaker 3>going to try to avoid conflict altogether and stop. I

0:33:10.440 --> 0:33:12.880
<v Speaker 3>don't think that there is a well I can relate

0:33:12.960 --> 0:33:15.120
<v Speaker 3>to exactly.

0:33:15.480 --> 0:33:18.000
<v Speaker 1>I was like, oh no, it's fine, I'm fine, I'm

0:33:18.040 --> 0:33:19.360
<v Speaker 1>fine if it's okay.

0:33:19.840 --> 0:33:21.840
<v Speaker 3>I mean, what would you do if your choice was

0:33:21.840 --> 0:33:24.600
<v Speaker 3>to run into this person or that person? Like you're

0:33:24.600 --> 0:33:26.600
<v Speaker 3>going through the calculations of how to get out of it.

0:33:26.840 --> 0:33:30.400
<v Speaker 3>I'm pretty sure that the robot has it because it's

0:33:30.440 --> 0:33:33.400
<v Speaker 3>AI machine learning constantly and it's been training in places

0:33:33.400 --> 0:33:37.800
<v Speaker 3>like San Francisco is a place to drive roads all

0:33:37.840 --> 0:33:42.600
<v Speaker 3>over There's there's there's things everywhere like yeah, people on

0:33:42.680 --> 0:33:45.400
<v Speaker 3>the streets. I mean, you couldn't throw it in a

0:33:45.400 --> 0:33:49.440
<v Speaker 3>more chaotic situation, so it is learned, like how to

0:33:49.920 --> 0:33:51.800
<v Speaker 3>maybe go this way and avoid everything.

0:33:52.280 --> 0:33:56.080
<v Speaker 1>I rented a Tesla truck in Phoenix a couple of

0:33:56.120 --> 0:33:58.080
<v Speaker 1>weeks ago. I was doing a show there and and

0:33:58.720 --> 0:34:01.040
<v Speaker 1>Tamas and I rented a test split truck and we

0:34:01.120 --> 0:34:03.520
<v Speaker 1>put it in self drive to take us around.

0:34:04.200 --> 0:34:06.520
<v Speaker 2>And it was freaky, and.

0:34:06.520 --> 0:34:10.000
<v Speaker 1>At one point I I intervened because I thought it

0:34:10.040 --> 0:34:12.399
<v Speaker 1>was going to hit a car, and it was. There

0:34:12.440 --> 0:34:14.839
<v Speaker 1>was some debate between Tomas and I to master thought

0:34:14.840 --> 0:34:15.640
<v Speaker 1>it was going to hit the car.

0:34:15.719 --> 0:34:16.960
<v Speaker 2>I thought it was going to hit the car.

0:34:17.160 --> 0:34:19.040
<v Speaker 1>But then I thought I should have given it the

0:34:19.120 --> 0:34:21.640
<v Speaker 1>chance to not hit the car, but I just didn't.

0:34:23.760 --> 0:34:26.719
<v Speaker 1>But I want, I mean, you're right about you know,

0:34:27.520 --> 0:34:32.360
<v Speaker 1>the distractedness of drivers, like you know, human drivers, people

0:34:32.520 --> 0:34:36.160
<v Speaker 1>texting people on their phones, people you know, doing stuff.

0:34:36.200 --> 0:34:38.480
<v Speaker 2>It probably is a better driver.

0:34:38.400 --> 0:34:41.040
<v Speaker 1>Right, And but where am I going to get if

0:34:41.040 --> 0:34:44.680
<v Speaker 1>I'm in a taxi but it doesn't have an actual driver?

0:34:44.800 --> 0:34:47.800
<v Speaker 1>Where do you do I get my racist opinions from

0:34:47.840 --> 0:34:49.960
<v Speaker 1>I would be able to get my racist opinions from

0:34:49.960 --> 0:34:50.680
<v Speaker 1>a cab driver?

0:34:50.920 --> 0:34:52.120
<v Speaker 2>Where will I get them?

0:34:52.320 --> 0:34:56.080
<v Speaker 3>If only there's still the Internet in your hand, you

0:34:56.160 --> 0:34:57.520
<v Speaker 3>can TikTok that if.

0:34:57.360 --> 0:35:00.480
<v Speaker 2>You like, I'll be able to get my ras from

0:35:00.520 --> 0:35:01.440
<v Speaker 2>other places.

0:35:02.320 --> 0:35:04.000
<v Speaker 4>Yeah, there's plenty. There's plenty, there's.

0:35:03.800 --> 0:35:08.160
<v Speaker 1>Been, there is plenty. But I feel like it is

0:35:08.200 --> 0:35:10.839
<v Speaker 1>an interesting thing. How do you use it in your life?

0:35:10.920 --> 0:35:13.040
<v Speaker 2>Now? Would you use it for AR? Do you use

0:35:13.080 --> 0:35:14.480
<v Speaker 2>it for R? Is that?

0:35:15.480 --> 0:35:18.879
<v Speaker 1>Well? Like you, if you're creating a sculpture, would you

0:35:19.080 --> 0:35:21.680
<v Speaker 1>take the would you would you bring in an it?

0:35:21.760 --> 0:35:25.160
<v Speaker 1>Would you get AI to help you conceptualize it or

0:35:25.440 --> 0:35:29.040
<v Speaker 1>or or maybe even make models for you?

0:35:29.080 --> 0:35:29.279
<v Speaker 4>No?

0:35:29.440 --> 0:35:31.920
<v Speaker 3>I mean for me, all our work is for me

0:35:32.160 --> 0:35:34.480
<v Speaker 3>to go through some sort of journey of curiosity. So

0:35:34.560 --> 0:35:36.880
<v Speaker 3>I don't need any I don't need any assistant. But

0:35:36.920 --> 0:35:39.080
<v Speaker 3>what I do use AI for is when I don't

0:35:39.160 --> 0:35:43.600
<v Speaker 3>understand something. And okay, so National STEM Festival right right?

0:35:43.719 --> 0:35:47.800
<v Speaker 3>These kids, we find kids from every state and territory.

0:35:47.880 --> 0:35:50.640
<v Speaker 3>We try to find a representation from all over the country.

0:35:50.680 --> 0:35:53.240
<v Speaker 3>So it's going to be the best of the best kids. Okay,

0:35:53.360 --> 0:35:57.440
<v Speaker 3>some of their projects, when I'm when I'm reading the champions,

0:35:58.239 --> 0:36:02.480
<v Speaker 3>I don't understand them. They are so complex. I have

0:36:02.719 --> 0:36:06.719
<v Speaker 3>literally taken the text from one of their projects and

0:36:07.040 --> 0:36:09.799
<v Speaker 3>put it through AI and said, can you explain this

0:36:10.480 --> 0:36:13.800
<v Speaker 3>as if I am a twelve year old. Oh wow,

0:36:14.480 --> 0:36:17.360
<v Speaker 3>it will explain the science of their project to me

0:36:17.520 --> 0:36:19.400
<v Speaker 3>so that I can understand it.

0:36:19.680 --> 0:36:23.800
<v Speaker 4>And they are, you know, seven through twelfth graders.

0:36:23.960 --> 0:36:28.200
<v Speaker 3>So I'm currently using AI to help me be a

0:36:28.239 --> 0:36:30.520
<v Speaker 3>better person, be a smarter person.

0:36:30.800 --> 0:36:40.520
<v Speaker 2>I very much relate to that. I get to this thing.

0:36:40.920 --> 0:36:44.160
<v Speaker 1>Recently, I listened to audio books all the time on

0:36:44.200 --> 0:36:46.520
<v Speaker 1>my phone. I find it very like i'm driving or

0:36:46.520 --> 0:36:48.879
<v Speaker 1>if I'm can't sleep. It's like it because you can

0:36:49.200 --> 0:36:51.160
<v Speaker 1>like and be off and you can listen, and it's

0:36:51.200 --> 0:36:53.680
<v Speaker 1>like because I have who I am. I listened to

0:36:53.719 --> 0:36:57.560
<v Speaker 1>this book, a biography of Socrates, because I thought I

0:36:57.560 --> 0:36:59.480
<v Speaker 1>should know about Socrates more than I do, and it

0:36:59.560 --> 0:37:02.359
<v Speaker 1>was a biography about so Cracis, and I thought, that

0:37:02.520 --> 0:37:04.040
<v Speaker 1>is the best biography.

0:37:04.280 --> 0:37:05.560
<v Speaker 2>I'm so helpful.

0:37:05.680 --> 0:37:08.120
<v Speaker 1>And then I saw it was, you know, a biography

0:37:08.239 --> 0:37:12.600
<v Speaker 1>for young people. It was for it was for teens,

0:37:12.719 --> 0:37:15.960
<v Speaker 1>and I was like, ah, jeez, But it helped, you know,

0:37:16.040 --> 0:37:18.800
<v Speaker 1>I understood it a bit more. They simplified it a little.

0:37:18.880 --> 0:37:21.239
<v Speaker 1>And maybe I'm not as smart as I thought I was.

0:37:22.000 --> 0:37:26.240
<v Speaker 3>Well, I mean, on MythBusters when we were making the show,

0:37:27.760 --> 0:37:29.759
<v Speaker 3>I think The reason was so successful is because, like

0:37:29.840 --> 0:37:33.200
<v Speaker 3>I am not a scientist, so I'd have to hear

0:37:33.480 --> 0:37:37.279
<v Speaker 3>the complicated story and then be able to relate it

0:37:37.320 --> 0:37:39.759
<v Speaker 3>in a simple way. So I would I would hear

0:37:39.800 --> 0:37:42.920
<v Speaker 3>it until I could understand, you know, a scientific principle

0:37:42.920 --> 0:37:44.920
<v Speaker 3>and so that I could explain it. So we used

0:37:44.960 --> 0:37:47.000
<v Speaker 3>to say, if you want to explain something to a

0:37:47.120 --> 0:37:49.239
<v Speaker 3>thirty five year old, explain it like they're twelve. And

0:37:49.239 --> 0:37:50.839
<v Speaker 3>if you want to explain it to a twelve year old,

0:37:50.840 --> 0:37:55.120
<v Speaker 3>explain it like they're thirty five, because we always underestimate

0:37:55.320 --> 0:37:58.520
<v Speaker 3>young people and overestimate us.

0:37:58.800 --> 0:38:00.400
<v Speaker 2>It's very poignant and very true.

0:38:00.440 --> 0:38:03.600
<v Speaker 1>And I wonder, given that, the interaction that you're having

0:38:03.960 --> 0:38:07.480
<v Speaker 1>currently with young people and you know, the does it

0:38:07.520 --> 0:38:11.480
<v Speaker 1>make you because you hear so much derision heaped on

0:38:11.560 --> 0:38:14.880
<v Speaker 1>the young right now about their terrible generation and with

0:38:15.000 --> 0:38:19.560
<v Speaker 1>their being having pronouns and what this and all that,

0:38:19.640 --> 0:38:23.920
<v Speaker 1>and people from my generation and younger just heap so

0:38:24.120 --> 0:38:29.919
<v Speaker 1>much hate on the young. Does it make you optimistic

0:38:30.400 --> 0:38:32.839
<v Speaker 1>or are you? Are you more optimistic dealing with kids

0:38:33.160 --> 0:38:34.840
<v Speaker 1>or are we right? Are they all a bunch of

0:38:37.040 --> 0:38:38.680
<v Speaker 1>fundamentalist douchebags?

0:38:39.360 --> 0:38:41.840
<v Speaker 3>I think any group of people that you brush with

0:38:41.880 --> 0:38:46.880
<v Speaker 3>these grand broad strokes, It's going to be easy and

0:38:47.160 --> 0:38:49.680
<v Speaker 3>reductive to come up with your ideas.

0:38:50.160 --> 0:38:52.799
<v Speaker 2>Madam. That's true. Actually, you're right, it is.

0:38:53.440 --> 0:38:57.600
<v Speaker 1>You know, sweeping generalizations are the basis of old fascism,

0:38:57.719 --> 0:38:58.720
<v Speaker 1>I suppose.

0:38:58.320 --> 0:38:59.680
<v Speaker 4>Are Let me tell you this.

0:39:00.040 --> 0:39:02.440
<v Speaker 3>If you need a moment of hope, if you need

0:39:02.480 --> 0:39:07.160
<v Speaker 3>a moment to feel like we're gonna be okay, really

0:39:07.280 --> 0:39:10.280
<v Speaker 3>listen and and and hear what these kids are doing

0:39:10.320 --> 0:39:15.359
<v Speaker 3>and saying. They are solution seekers and innovators, and they

0:39:15.400 --> 0:39:18.359
<v Speaker 3>are looking to problems instead of like, oh my god,

0:39:18.400 --> 0:39:20.160
<v Speaker 3>this is crushing, this is awful. How am I going

0:39:20.200 --> 0:39:23.440
<v Speaker 3>to wake up tomorrow? They're like, huh, what can I

0:39:23.480 --> 0:39:25.520
<v Speaker 3>do about this? What can I do about this this

0:39:25.600 --> 0:39:30.440
<v Speaker 3>particular problem myself? And it's it's beautiful to see the

0:39:30.440 --> 0:39:32.640
<v Speaker 3>hope that they have, and I think hope it gets

0:39:32.680 --> 0:39:35.440
<v Speaker 3>hope and all of a sudden, everybody's feeling a little

0:39:35.440 --> 0:39:39.279
<v Speaker 3>bit better about their neighbor. I mean, we were just

0:39:39.400 --> 0:39:42.440
<v Speaker 3>as a species, we were created to be tribal. You know.

0:39:43.040 --> 0:39:45.000
<v Speaker 4>I I'm at my high school.

0:39:45.040 --> 0:39:46.920
<v Speaker 3>Think the high school over there is terrible, and they

0:39:46.920 --> 0:39:48.160
<v Speaker 3>think the word terrible.

0:39:51.880 --> 0:39:52.400
<v Speaker 4>Exactly.

0:39:52.840 --> 0:39:56.480
<v Speaker 3>And the Internet has created just bigger tribes, and so

0:39:56.560 --> 0:40:01.240
<v Speaker 3>it's become a little it's become a little divisive and angry.

0:40:01.239 --> 0:40:04.560
<v Speaker 3>And if you fall into that and stop realizing that

0:40:04.600 --> 0:40:08.960
<v Speaker 3>we're all of the same tribe, that we all really

0:40:08.960 --> 0:40:10.279
<v Speaker 3>want the same things. We want to know where our

0:40:10.280 --> 0:40:12.239
<v Speaker 3>next meal is coming from, we want to know that

0:40:12.320 --> 0:40:15.320
<v Speaker 3>our family is safe and healthy, and we want a

0:40:15.400 --> 0:40:18.960
<v Speaker 3>roof over our heads. Anything beyond that doesn't matter, and

0:40:19.000 --> 0:40:22.320
<v Speaker 3>we all want that that we're all just the same.

0:40:22.400 --> 0:40:26.240
<v Speaker 3>And you start looking like mister Rogers for the helpers

0:40:26.280 --> 0:40:28.480
<v Speaker 3>and start looking towards these kids that are trying to

0:40:28.600 --> 0:40:32.319
<v Speaker 3>solve the biggest problems of the world, it just it

0:40:32.360 --> 0:40:34.680
<v Speaker 3>makes you feel good and it makes you feel like

0:40:34.760 --> 0:40:37.120
<v Speaker 3>you want to be one of the helpers. And for me,

0:40:37.760 --> 0:40:41.080
<v Speaker 3>since I'm not one of these brilliant scientist kids, I

0:40:41.320 --> 0:40:45.560
<v Speaker 3>am going to amplify their stories. I am helping get

0:40:45.600 --> 0:40:47.680
<v Speaker 3>them on their local news stations so that they can

0:40:47.719 --> 0:40:50.440
<v Speaker 3>create hope in these little pockets all over the country.

0:40:51.320 --> 0:40:54.480
<v Speaker 3>I want to elevate them on a national stage, which

0:40:54.520 --> 0:40:58.480
<v Speaker 3>is why this is the National STEM Festival, so that

0:40:59.080 --> 0:41:03.000
<v Speaker 3>politicians and industry leaders and everybody can support them and

0:41:03.040 --> 0:41:05.480
<v Speaker 3>hear their stories and maybe take that hope back to.

0:41:05.480 --> 0:41:08.120
<v Speaker 4>Where they are and create more hope.

0:41:08.320 --> 0:41:11.360
<v Speaker 3>I really feel like this small sea, this stem festival

0:41:11.400 --> 0:41:14.400
<v Speaker 3>that we're creating is going to have this incredible ripple

0:41:14.440 --> 0:41:18.680
<v Speaker 3>effect of just creating more and more positivity. And who

0:41:18.719 --> 0:41:22.759
<v Speaker 3>knows if this kid in New York who's learning how

0:41:22.800 --> 0:41:27.360
<v Speaker 3>to gamify some sort of issue over hear me so

0:41:27.640 --> 0:41:29.440
<v Speaker 3>a kid in Kansas, and the two of them come

0:41:29.480 --> 0:41:31.720
<v Speaker 3>together in the future and we've created this little community

0:41:31.719 --> 0:41:34.279
<v Speaker 3>and all of a sudden, they're curing cancer. I just

0:41:34.719 --> 0:41:38.640
<v Speaker 3>I feel like there's ways that you're going to look

0:41:38.680 --> 0:41:41.560
<v Speaker 3>at the youth and it's going to make you feel

0:41:41.840 --> 0:41:44.879
<v Speaker 3>good about the world. Turn off the news and start

0:41:44.880 --> 0:41:45.560
<v Speaker 3>looking to the kids.

0:41:45.680 --> 0:41:49.319
<v Speaker 1>That's very encouraging. It's very encouraging. And I think I

0:41:49.360 --> 0:41:52.680
<v Speaker 1>agree with you. I think that the human mind has,

0:41:53.320 --> 0:41:58.480
<v Speaker 1>for the most part, a magnifying quality. What I think

0:41:58.480 --> 0:42:01.760
<v Speaker 1>it does is if you if you look at something, anything,

0:42:01.800 --> 0:42:04.319
<v Speaker 1>you look at, it magnifies it. It's part of the

0:42:04.400 --> 0:42:06.799
<v Speaker 1>process that I think we go through. So if we

0:42:06.840 --> 0:42:10.400
<v Speaker 1>look at the problem, we magnify the problem. If we

0:42:10.520 --> 0:42:14.600
<v Speaker 1>look at the potential solution, we magnify the potential solution.

0:42:14.719 --> 0:42:16.080
<v Speaker 2>And I think it's an emotive thing.

0:42:16.400 --> 0:42:19.040
<v Speaker 1>Like if I concentrate on what and this is where

0:42:19.120 --> 0:42:25.239
<v Speaker 1>I think social media is misleading because the algorithm will

0:42:25.239 --> 0:42:29.480
<v Speaker 1>give you what it thinks you want and actually maybe

0:42:29.520 --> 0:42:32.880
<v Speaker 1>that's what you wanted a thought process to go. But

0:42:33.400 --> 0:42:35.719
<v Speaker 1>now like if you if it's thinking, oh, I want

0:42:35.760 --> 0:42:38.120
<v Speaker 1>to look at fights, I want to look at street fights,

0:42:38.120 --> 0:42:39.640
<v Speaker 1>I want to look at more street fights. I'm going

0:42:39.719 --> 0:42:42.480
<v Speaker 1>to more and more street fights, and the algorithm will

0:42:42.480 --> 0:42:46.200
<v Speaker 1>do that, Whereas what you need is you need to

0:42:46.239 --> 0:42:48.160
<v Speaker 1>stop looking at that and you need to look at

0:42:48.200 --> 0:42:52.000
<v Speaker 1>how people don't do that. And I think what's very

0:42:52.360 --> 0:42:55.160
<v Speaker 1>encouraging about what you're doing is the fact that you're

0:42:55.200 --> 0:42:59.960
<v Speaker 1>concentrating on the solution, you know, I which is interesting

0:43:00.040 --> 0:43:03.879
<v Speaker 1>because if you take an engineering mind, an engineering mind

0:43:03.920 --> 0:43:07.359
<v Speaker 1>looks at the problem. It concentrates on the problem and

0:43:07.400 --> 0:43:09.840
<v Speaker 1>we'll find the solution from the problem.

0:43:10.360 --> 0:43:12.040
<v Speaker 2>But I think an artist's mind.

0:43:12.360 --> 0:43:16.200
<v Speaker 1>Looks at the solution and does the solution. It doesn't

0:43:16.200 --> 0:43:18.400
<v Speaker 1>look at the problem. Does is just going straight to

0:43:18.440 --> 0:43:21.040
<v Speaker 1>the solution. Let's have the solution. And I think they're

0:43:21.080 --> 0:43:26.520
<v Speaker 1>both essential. I think these different different ways of looking

0:43:26.520 --> 0:43:29.560
<v Speaker 1>at the world does duality. I think it's essential. It's

0:43:29.680 --> 0:43:32.319
<v Speaker 1>very helpful. I think that people like you are doing that.

0:43:32.480 --> 0:43:35.960
<v Speaker 1>It's great that you became famous in science y, even

0:43:35.960 --> 0:43:39.080
<v Speaker 1>although you were just an intern trying to get Jovid

0:43:39.160 --> 0:43:41.960
<v Speaker 1>to it was very I love.

0:43:41.840 --> 0:43:43.640
<v Speaker 4>About the world. To me, it really did.

0:43:43.760 --> 0:43:46.359
<v Speaker 3>It kind of showed me how science and art are

0:43:46.360 --> 0:43:50.560
<v Speaker 3>so similar. And I think I became just a super

0:43:50.560 --> 0:43:53.960
<v Speaker 3>stem advocate just because I saw how positive an impact

0:43:54.040 --> 0:43:56.600
<v Speaker 3>that MythBusters could have on kids, and I think kind

0:43:56.600 --> 0:43:58.400
<v Speaker 3>of led them into these careers. And I was just like,

0:43:58.480 --> 0:44:01.040
<v Speaker 3>Oh my gosh, how do we earnest that, how do

0:44:01.080 --> 0:44:05.000
<v Speaker 3>we make you know, mythbustery inspiration happened with lots of

0:44:05.120 --> 0:44:07.319
<v Speaker 3>kids and then just you know, one thing led to

0:44:07.360 --> 0:44:07.840
<v Speaker 3>the next.

0:44:07.920 --> 0:44:10.880
<v Speaker 4>And the way that this.

0:44:11.200 --> 0:44:13.400
<v Speaker 3>Festival came about is I was interviewing people itself by

0:44:13.400 --> 0:44:17.600
<v Speaker 3>Southwest and I was interviewing the Secretary of Education, and

0:44:18.080 --> 0:44:19.759
<v Speaker 3>I'm like, oh, I've got this opportunity.

0:44:19.800 --> 0:44:21.000
<v Speaker 4>I'm going to corner this guy.

0:44:21.800 --> 0:44:25.080
<v Speaker 3>So I was like, listen, I hosted the White House

0:44:25.080 --> 0:44:26.839
<v Speaker 3>Science Fair and it hasn't existed for a.

0:44:26.800 --> 0:44:28.920
<v Speaker 4>Decade, and I want it back. How do we make

0:44:28.960 --> 0:44:29.560
<v Speaker 4>that come back?

0:44:29.960 --> 0:44:32.640
<v Speaker 3>Tell me you're going to bring it back and it

0:44:32.840 --> 0:44:33.120
<v Speaker 3>kind of.

0:44:33.680 --> 0:44:36.360
<v Speaker 4>I got him to offer on camera.

0:44:37.520 --> 0:44:41.160
<v Speaker 3>That you know, if I would build it, he would

0:44:41.480 --> 0:44:44.840
<v Speaker 3>let me take the keys. And so this this entire

0:44:44.920 --> 0:44:48.080
<v Speaker 3>thing has just sort of sprouted into this is the

0:44:48.120 --> 0:44:54.120
<v Speaker 3>second year of it, and want to star science, science, Technology, engineering,

0:44:54.160 --> 0:44:58.080
<v Speaker 3>and math. I like to say science fair, but but

0:44:58.200 --> 0:45:01.279
<v Speaker 3>STEM Festivals seemed like it was more encompassing for a

0:45:01.280 --> 0:45:03.840
<v Speaker 3>lot of kids, so we went with that. But you know,

0:45:03.960 --> 0:45:06.680
<v Speaker 3>I did my research. I went and found all of

0:45:06.680 --> 0:45:09.400
<v Speaker 3>the people that worked on the first science fair that

0:45:09.440 --> 0:45:11.680
<v Speaker 3>I had hosted with Bill and I, and they said

0:45:11.719 --> 0:45:14.320
<v Speaker 3>that their one regret was that they tied it to

0:45:14.400 --> 0:45:18.879
<v Speaker 3>an administration so that it became partisan and that makes

0:45:18.920 --> 0:45:23.400
<v Speaker 3>it go away when another administration comes in. So we decided,

0:45:23.480 --> 0:45:26.000
<v Speaker 3>my business partner Jenny Bucos and I that we were

0:45:26.000 --> 0:45:29.879
<v Speaker 3>going to take that aspect away, take the politics out

0:45:29.880 --> 0:45:33.359
<v Speaker 3>of it. And so we work in conjunction with all

0:45:33.360 --> 0:45:35.480
<v Speaker 3>the government agencies, and they are there and they are

0:45:35.560 --> 0:45:38.200
<v Speaker 3>part of it, but nobody owns it. It's completely on

0:45:38.280 --> 0:45:41.200
<v Speaker 3>its own. We get all of the funding from the

0:45:41.280 --> 0:45:47.680
<v Speaker 3>STEM community, so we actually get businesses. Everyone from Autodesk

0:45:48.000 --> 0:45:52.640
<v Speaker 3>to Nokia to GM two, Indy Car are all helping

0:45:52.719 --> 0:45:56.040
<v Speaker 3>US sponsor the festival because they're, you know, creating the

0:45:56.080 --> 0:45:58.719
<v Speaker 3>workforce of the future with these kids. So we get

0:45:58.760 --> 0:46:01.920
<v Speaker 3>the whole STEM community to support these kids. We separate

0:46:01.960 --> 0:46:06.000
<v Speaker 3>it from government to make it bipartisan, and it's really

0:46:06.080 --> 0:46:10.840
<v Speaker 3>just all about supporting brilliance, supporting excellence, and supporting these kids.

0:46:11.200 --> 0:46:13.960
<v Speaker 3>So it's it's not just focusing on the kids, but

0:46:14.040 --> 0:46:16.560
<v Speaker 3>the entire STEM community is showing up.

0:46:17.239 --> 0:46:21.279
<v Speaker 2>I think it's great. I mean that it's for you.

0:46:21.560 --> 0:46:23.520
<v Speaker 1>I mean because I know you, and I know you

0:46:23.560 --> 0:46:28.560
<v Speaker 1>are not putting on You are relentlessly positive, which is

0:46:28.920 --> 0:46:31.520
<v Speaker 1>which is very interesting to me. Do you never do

0:46:31.520 --> 0:46:34.200
<v Speaker 1>you ever get discouraged? Do you ever feel like, oh,

0:46:34.400 --> 0:46:36.759
<v Speaker 1>fuck this, I can't I kind of listen it. I mean,

0:46:36.800 --> 0:46:39.480
<v Speaker 1>because look, you give me five minutes with a politician,

0:46:39.520 --> 0:46:42.399
<v Speaker 1>I can I lose the will eleft any of them

0:46:42.520 --> 0:46:47.720
<v Speaker 1>any no matter what stripe they have, they're just foul people.

0:46:48.840 --> 0:46:51.520
<v Speaker 2>They're awful, all.

0:46:51.400 --> 0:46:53.440
<v Speaker 4>The headline grabbers. So I gotta say so.

0:46:53.880 --> 0:46:55.880
<v Speaker 3>One of the things that was always great about MythBusters

0:46:56.000 --> 0:47:00.200
<v Speaker 3>is the audience was very broad, and it was eight

0:47:00.200 --> 0:47:01.600
<v Speaker 3>to eighty. It was men and women, it was blue,

0:47:01.640 --> 0:47:03.279
<v Speaker 3>it was red. We did so many things that just

0:47:03.320 --> 0:47:07.280
<v Speaker 3>people communally enjoyed. So you know, it didn't matter where

0:47:07.320 --> 0:47:10.160
<v Speaker 3>I was or who I was talking to, Like I

0:47:10.200 --> 0:47:12.440
<v Speaker 3>could walk up to the bluest of the blue or

0:47:12.480 --> 0:47:15.440
<v Speaker 3>the reddest of the red and build some bridges because

0:47:15.480 --> 0:47:18.279
<v Speaker 3>I do like creating that community of we're all more

0:47:18.320 --> 0:47:19.080
<v Speaker 3>alike than different.

0:47:19.400 --> 0:47:20.680
<v Speaker 4>And so when.

0:47:22.520 --> 0:47:26.400
<v Speaker 3>We as the company that I am founding with Jenny Bucos,

0:47:26.400 --> 0:47:30.080
<v Speaker 3>which is Explore, which is an educational platform, we conceived

0:47:30.080 --> 0:47:33.760
<v Speaker 3>of this great idea we wanted to make STEM Week.

0:47:34.600 --> 0:47:39.759
<v Speaker 2>So we probably with math Yes, yes, I love it.

0:47:40.440 --> 0:47:44.279
<v Speaker 3>We want National STEM Week to happen that is just

0:47:44.440 --> 0:47:48.200
<v Speaker 3>celebrating STEM and all things that are STEM. So we

0:47:48.400 --> 0:47:50.719
<v Speaker 3>partnered up with Kosai, which is like the number one

0:47:50.719 --> 0:47:54.760
<v Speaker 3>science museum out in Ohio, and we authored this bill

0:47:54.840 --> 0:47:59.520
<v Speaker 3>that went onto the floor, that was introduced by Republicans

0:47:59.800 --> 0:48:03.360
<v Speaker 3>to the floor and is now we're getting both Republican

0:48:03.440 --> 0:48:06.200
<v Speaker 3>and Democratic support to create the STEM Week Act to

0:48:06.280 --> 0:48:06.680
<v Speaker 3>make enough.

0:48:07.040 --> 0:48:09.880
<v Speaker 2>Congratulations. I think you're the only one that's crossing the

0:48:09.920 --> 0:48:11.480
<v Speaker 2>floor right now. That's amazing.

0:48:12.040 --> 0:48:14.040
<v Speaker 3>We're trying, we're trying, We're doing our best, but it's

0:48:14.080 --> 0:48:16.440
<v Speaker 3>it's going places because you know, it's not necessarily the

0:48:16.480 --> 0:48:19.239
<v Speaker 3>headline grammars, it's it's the people that are doing the

0:48:19.320 --> 0:48:23.360
<v Speaker 3>work that are really really these they were, they were lovely,

0:48:23.400 --> 0:48:26.560
<v Speaker 3>And I know I was walking into offices all over

0:48:26.640 --> 0:48:29.840
<v Speaker 3>the Capitol Building of different parties, and one thing you

0:48:29.920 --> 0:48:36.080
<v Speaker 3>can get behind is smart kids. And I thinking it's

0:48:36.120 --> 0:48:37.439
<v Speaker 3>a unifying event here.

0:48:37.520 --> 0:48:38.400
<v Speaker 2>Yeah, yeah, it's.

0:48:38.440 --> 0:48:42.080
<v Speaker 1>It's also it's it doesn't seem to me to contain

0:48:42.880 --> 0:48:45.560
<v Speaker 1>a very an obvious polemic right away. I mean, who

0:48:45.640 --> 0:48:50.720
<v Speaker 1>can be against kids saving Earth? I think that's okay,

0:48:51.000 --> 0:48:53.759
<v Speaker 1>But I think that's also the plow of space jam.

0:48:53.840 --> 0:48:59.520
<v Speaker 1>Oh no, it's cartoon characters saving Earth. But it's very similar. Well, listen,

0:49:00.000 --> 0:49:01.480
<v Speaker 1>should had more time. Well we do have more time

0:49:01.480 --> 0:49:03.680
<v Speaker 1>because we're friends, and I'll talk to you again, but

0:49:03.760 --> 0:49:05.799
<v Speaker 1>we don't have any more time right now for this.

0:49:06.520 --> 0:49:09.200
<v Speaker 1>But I'll be out on the West coast sooner. You're

0:49:09.200 --> 0:49:10.080
<v Speaker 1>gonna be there for a while.

0:49:10.719 --> 0:49:13.480
<v Speaker 3>Yeah, here, So I will come to your show and

0:49:13.520 --> 0:49:15.960
<v Speaker 3>if you could bring your wife, because I will.

0:49:16.000 --> 0:49:17.080
<v Speaker 2>I will bring my wife.

0:49:18.400 --> 0:49:21.640
<v Speaker 1>To be honest, when Megan goes somewhere is because she

0:49:21.719 --> 0:49:24.960
<v Speaker 1>wants to go there is I don't bring her anywhere she.

0:49:25.040 --> 0:49:26.319
<v Speaker 2>Goes she wants to go.

0:49:26.880 --> 0:49:27.560
<v Speaker 4>I realize this.

0:49:27.880 --> 0:49:29.799
<v Speaker 2>Yeah, it's I think we know.

0:49:29.920 --> 0:49:33.919
<v Speaker 1>The paradynamic in my house is fairly obvious, and I'm

0:49:33.920 --> 0:49:34.400
<v Speaker 1>fine with it.

0:49:34.760 --> 0:49:36.400
<v Speaker 2>I'm very happy with it.

0:49:36.520 --> 0:49:39.160
<v Speaker 1>All right, Well, tons of love to you, Thank you

0:49:39.239 --> 0:49:41.879
<v Speaker 1>so much for being on, and i'll speak to you

0:49:42.120 --> 0:49:42.560
<v Speaker 1>very soon.

0:49:42.800 --> 0:49:44.280
<v Speaker 2>I think i'm out there in a couple of weeks.

0:49:44.320 --> 0:49:47.600
<v Speaker 3>I'll give you a show so fantastic. The only reason

0:49:47.600 --> 0:49:49.279
<v Speaker 3>I'm doing this podcast so I can just you.

0:49:49.200 --> 0:49:52.719
<v Speaker 1>Know, doing chat and all right, you swear a lot

0:49:52.800 --> 0:49:55.080
<v Speaker 1>less in podcast land, though.

0:49:55.560 --> 0:49:56.680
<v Speaker 4>I'm doing that on purpose.

0:49:56.960 --> 0:49:58.880
<v Speaker 2>Good for you. I'm very impressed.

0:49:58.960 --> 0:50:01.279
<v Speaker 4>I'm a pirate offic I know, I know.

0:50:02.400 --> 0:50:05.200
<v Speaker 2>It's okay. That's okay. You got some of it's going

0:50:05.239 --> 0:50:06.919
<v Speaker 2>to be for you. You've got to have your own thing,

0:50:07.239 --> 0:50:09.719
<v Speaker 2>all right, get the fuck out of here. All right,

0:50:10.280 --> 0:50:11.560
<v Speaker 2>we're done. What do you