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Speaker 1: I want this on official record. Actually, yeah, why.

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Speaker 2: Don't you Actually marriage is falling apart in real time

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Speaker 2: and you just don't.

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Speaker 1: Oh man, I feel like a child in divorce court.

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Speaker 1: You ever listen to the show Dough Boys. Yeah, for

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Speaker 1: like two years there it was like listening to a

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Speaker 1: couple getting a divorce and then they like pushed their

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Speaker 1: way through it. It's really an amazing Wait when was that?

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Speaker 1: They just like were always like, oh, shut the fuck up.

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Speaker 1: So great, you're so mad at each other all the time.

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Speaker 2: At least, it's not like I remember at the end

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Speaker 2: of Bodego Boys, when you could just tell like there

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Speaker 2: was just like this passive anger just simmering sometimes and

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Speaker 2: like Barro would talk too much.

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Speaker 1: Let them? Is that too much? Sorry? Was I talking

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Speaker 1: too much? Again? That is like such divorcing couple enters.

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Speaker 2: Oh, I'm sorry.

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Speaker 1: I guess I was talking too much again.

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Speaker 2: I don't know if you know this about me, but

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Speaker 2: apparently whenever I speak, it's the most annoying thing anyone

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Speaker 2: can ever.

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Speaker 1: I don't know if you know this about me. Here's

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Speaker 1: a fun fact about me, is that when I speak,

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Speaker 1: it's apparently like nails on a chalkboard. Right quote somebody

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Speaker 1: who was that? Honey? Who said that? Who was that?

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Speaker 2: Well, there's only two of us talking to each other

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Speaker 2: right now. It's like, who are you even bringing in?

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Speaker 2: Is this third party? A second ago? No, No, there's

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Speaker 2: I just saw a bunch of like, for whatever reason,

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Speaker 2: all the articles I was being like that, I saw

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Speaker 2: through that, like on the feed of like our articles

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Speaker 2: I look at, so many were about like, like cheating,

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Speaker 2: the definition of cheating is evolving. Here's how to know

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Speaker 2: if you're doing it. And another one was like relationship

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Speaker 2: burnout is real. Here how to get in front of it.

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Speaker 1: Well, I'm happy to say that we are as podcast

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Speaker 1: as co host in an open relationship where you.

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Speaker 2: Oh yeah, yeah, yeah, I was co hosting The Dollar

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Speaker 2: over the weekend.

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Speaker 1: Did you really No? I was gonna be like, damn,

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Speaker 1: I gotta listen to again. Yeah yeah, yeah yeah.

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Speaker 2: They're like, is it okay?

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Speaker 1: I'm like Pat Jackson in his own world, asleep at

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Speaker 1: the Weekly.

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Speaker 2: If jack cared, he'd tell me I couldn't do it.

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Speaker 1: He actually just has a cup chair in the podcasting

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Speaker 1: studio where he watches me podcast with other ghosts, where

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Speaker 1: he listens to me guest on other shows, Hello the

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Speaker 1: Internet and Welcome to Season three eighty seven, Episode two

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Speaker 1: of It's a production of iHeart Radio.

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Speaker 2: This is the podcast where we take a deep.

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Speaker 1: Dive into America's share consciousness. And it is Tuesday, May sixth,

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Speaker 1: May the sixth be with you. May this sit yeah

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Speaker 1: fifth Day?

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Speaker 2: Yeah hell yeah, fort Brother, the sad people out there

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Speaker 2: who want to be sick anyway. National Foster Care Day,

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Speaker 2: National Teacher Appreciation Day. I'm a shout out Judy Clawson,

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Speaker 2: my first music teacher who cultivated a love in music

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Speaker 2: in me that's still to this day stays with me

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Speaker 2: and I'm forever grateful. So I just want to shout

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Speaker 2: you out because I will never forget you. Miss Boston.

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Speaker 2: National Crape Susette Day. This looks like some shit. Donald

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Speaker 2: Trump's dad was. Have you ever had a crip susette?

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Speaker 1: You know what?

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Speaker 2: It looks like a bunch of like origami with orange slices,

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Speaker 2: like the crape looks like shit doing this photo. Also

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Speaker 2: National Beverage Day, National Nurse's Day.

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Speaker 1: Shout out to miss McDonald. What did she teach my

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Speaker 1: seventh grade English teacher? First person who is like, you're

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Speaker 1: good at writing? Helps you read. Yeah, finally help. You're

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Speaker 1: good at reading, you can do the jack.

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Speaker 2: You're gonna can do it at a kindergarten level.

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Speaker 1: Now, finally a way to go back to Hugh. Thank you. Well.

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Speaker 1: My name is Jack O'Brien ak. And did you think

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Speaker 1: this fool could never win seven seven hundred pound gorilla

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Speaker 1: hitting like a chimp. I got the taste of blood

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Speaker 1: on the stairs so far away, and I'll probably never

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Speaker 1: sleep again from what I've done today. Don't you know

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Speaker 1: that I'm still standing? I lost I only lost one

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Speaker 1: of my limbs, looking like the soul survivor next to

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Speaker 1: fight a million kids. That one courtesy of David Lesser

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Speaker 1: on the discord A little ej Elton John, Wow, Yeah, Hey,

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Speaker 1: you know we're still out here. We're still talking about

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Speaker 1: one hundred men versus one gorilla. And I do feel

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Speaker 1: like I feel like I just got that that fight

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Speaker 1: in me. I got that dog in me. I wouldn't

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Speaker 1: quit even though I had I was missing all my

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Speaker 1: teeth and multiple limbs. That's personally where I see it going.

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Speaker 1: But I'm thrilled to be joined as always by my co.

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Speaker 2: Host, mister Miles Great Miles Pray A k a k.

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Speaker 1: He'll probably start the fight by sleep and boo, I

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Speaker 1: need I need one hundred men. Almost call your dudes.

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Speaker 1: I had to do the harmony. I'm fighting names down

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Speaker 1: and out Africa. Give him a beauting like he's never

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Speaker 1: shout out David Lesson, a David Lesser with multiple I

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Speaker 1: mean we're very predicta doubles. Nah, give us, give us

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Speaker 1: the gorilla fighting the gorilla.

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Speaker 2: And I've I got to say, I was telling Jack privately,

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Speaker 2: I've really I've had an evolution on this wild like

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Speaker 2: this is. We'll talk about it. We'll talk about later

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Speaker 2: after hearing from many learned people, I've my my perspective

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Speaker 2: has shifted quite dramatically on this, on this this thought experiment.

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Speaker 1: But we'll get to that later. Well, we we have

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Speaker 1: somebody with us today, Miles, who I think will help

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Speaker 1: us shed a little bit of light on this subject.

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Speaker 1: A writer, cartoonist, podcaster, a former roboticist who has written

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Speaker 1: books like We Have No Idea Guide to the Unknown Universe.

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Speaker 1: His new podcast, Science Stuff is Answer Is answering fascinating

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Speaker 1: questions every episode, like his hypnotism Real Do Our Pets

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Speaker 1: Lie to Us? I've been saying this for years. I

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Speaker 1: know a bird is a liar.

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Speaker 2: That bird is having fun up there, that's fun.

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Speaker 1: Do you really have to wait thirty minutes to go swimming?

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Speaker 1: Which is going to be my first question for him,

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Speaker 1: Our dear death experience is real. It's a great. Listen,

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Speaker 1: We're thrilled to have him back. Please welcome back to

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Speaker 1: the show. Or hey child, hello, hello friends, hello dailies

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Speaker 1: or what do you call your audience hykes hikes?

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Speaker 2: They call them the status whis actually all right, yeah yeah, don't.

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Speaker 1: Try to slip that by him, just because he's a scientist.

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Speaker 1: Miles just like to wait, he's miles. Try to pluralize

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Speaker 1: status quo as status quhi.

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Speaker 2: And then what was statusy's status.

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Speaker 1: Whoa yeah that I quote?

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Speaker 2: Yeah, oh wait that is You're I'm going to leave

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Speaker 2: you No, no, sorry, I was just making statusy. Yeah,

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Speaker 2: it's it's status is quot so I wasn't. Yeah they

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Speaker 2: want attorney's general, Yeah, it was attorney general style.

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Speaker 1: That's the other on things like that. Yep, yeah, yeah,

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Speaker 1: well great, or hey, we're thrilled to have you back. Okay,

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Speaker 1: can you just do you really have to wait thirty

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Speaker 1: minutes to go swimming? Because I have a multiple times

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Speaker 1: in my life not waited and then you're dying, I think,

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Speaker 1: but maybe I'll die in my fifties from it, from

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Speaker 1: like stocking up, it's like stop, like a sleep that

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Speaker 1: you've built up. It's like too much time swimming after

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Speaker 1: with just fifteen minutes after eating. No, yeah, we've all

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Speaker 1: been there. You know. You're a kid. You want to

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Speaker 1: go back in the pool.

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Speaker 3: It's hot, you want to play with your friends, but

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Speaker 3: some adults tell you you.

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Speaker 1: Can't do it.

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Speaker 3: Yeah, you have to wait thirty minutes. And for me

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Speaker 3: this was kind of personal because my aunt was a

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Speaker 3: doctor and she would take a swimming all the time.

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Speaker 3: She'd be like, no, you have to wait thirty minutes

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Speaker 3: after eating, and so in this episode, I really wanted

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Speaker 3: to know the answer yeah, which is apparently you don't

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Speaker 3: have to wait thirty minutes after eating to go swimming,

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Speaker 3: but you probably should.

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Speaker 1: Okay, yeah, probably should, but you don't, like.

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Speaker 3: Yeah, you're not gonna die, You're not gonna get crams.

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Speaker 3: Cramps are not related to what actually Cramps are related

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Speaker 3: to what you don't eat, Like if you don't eat

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Speaker 3: enough electrolytes or sugars, they think maybe that's one cause

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Speaker 3: for cramps, which is super interesting to me that scientists

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Speaker 3: don't know what causes crams.

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Speaker 1: Yeah, it's like one of those it up, we don't know, Yeah,

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Speaker 1: seem real. It seems like it's one of those a

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Speaker 1: public health policy question like where it's like, I mean,

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Speaker 1: you could probably get away with it on your own,

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Speaker 1: but like as a public pool policy, if you don't

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Speaker 1: want people throwing up in your pool or you know,

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Speaker 1: cramping in a giant pool, then like it's probably a

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Speaker 1: good policy to have for a whole ass public pool,

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Speaker 1: you know.

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Speaker 3: Yeah, yeah, it's probably just recommended just because you know,

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Speaker 3: you're you're kind of flat when you're swimming, so your

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Speaker 3: stomach kind of gets turned around.

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Speaker 1: Oh yeah, it's like the zero gravity stuff that space.

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Speaker 1: Yeah yeah yeah, and also like your body is time

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Speaker 1: to digest, you know, right right right hard disagree on

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Speaker 1: that one where I don't know.

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Speaker 2: Yeah, I've taken a bite at pizza and then immediately

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Speaker 2: done a cannonball.

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Speaker 1: With the pizza in your mouth. I probably have done that.

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Speaker 2: Yeah, I come up still chewing it.

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Speaker 1: It comes a little soggy, but you know, they're sacrificed.

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Speaker 2: When I was exhaling as I dove in the water,

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Speaker 2: A lot of marin Eric came out of my nose.

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Speaker 1: What what kind of pizza was that? And it's a

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Speaker 1: tomato pie? Yeah? Well, all right, we're thrilled to have you.

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Speaker 1: We're gonna get to know you a little bit better

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Speaker 1: in a moment. First, we're gonna tell the listeners a

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Speaker 1: couple of things we're talking about today, where we are

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Speaker 1: going to check in with President Trump planning to reopen Alcatraz,

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Speaker 1: which hell yeah, both a cool story that is happening.

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Speaker 1: He a man of many wants and you know, just

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Speaker 1: the his these ideas drift past him. It's truly it

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Speaker 1: feels like our national conversation is just based on who

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Speaker 1: he talks to that day on TV. Yeah, or what

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Speaker 1: which When was the last time he saw the rock?

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Speaker 1: So well, we'll talk about that. We also just want

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Speaker 1: to like kind of dig into some of the kind

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Speaker 1: of interesting questions that you've been looking into on your podcast, Warge.

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Speaker 1: Our near death experience is real? Is hypnotism real? Let's

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Speaker 1: be honest. We're going to talk a lot about whether

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Speaker 1: one hundred men could defeat one gorilla. Be honest, here,

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Speaker 1: talk about the real status static Qui, y, Yeah, exactly,

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Speaker 1: the real zeitgeist, the real statuses statuses quo. I am

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Speaker 1: curious though on the hypnotism thing, Miles. You you brought

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Speaker 1: up the point that that might relate in interesting ways

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Speaker 1: to the intention economy that AI is supposedly about to

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Speaker 1: unleash on all of us. Basically, it knows us so

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Speaker 1: well that it can just steer us imperceptibly and like

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Speaker 1: sell our future behavior, our intention to do things to people.

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Speaker 1: So I wanted to get your thoughts on that as well,

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Speaker 1: especially as a former roboticist. But all of that plenty more.

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Speaker 1: But before we get to it, Jorge, we do like

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Speaker 1: to ask our guest, what is something from your search

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Speaker 1: history that's revealing about who you are? Oh my goodness,

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Speaker 1: that I can disclose in public or want to that

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Speaker 1: you would not want to, but you just feel like

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Speaker 1: pressured because you know you want to make good podect

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Speaker 1: go for a little bit embarrassing but not too embarrassing,

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Speaker 1: Yeah yeah, or humiliating whatever whatever is your earth flat.

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Speaker 1: This is gonna surprise you guy that that would be

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Speaker 1: both embarrassing and potentially career ending for me. That's why

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Speaker 1: you take the big risks on this podcast. Yeah, no,

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Speaker 1: right now, I mean really deep dive into this episode

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Speaker 1: we're doing about are we living in a simulation? So

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Speaker 1: I don't know if you've heard this question, Like there's

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Speaker 1: this idea that maybe we're all really just inside of

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Speaker 1: a video game of some alien or advanced civilization. And

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Speaker 1: so I've been googling a lot. How much computing power

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Speaker 1: would it take to simulate a human brain? Mm hmm, yeah,

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Speaker 1: like can you do it on your phone or if

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Speaker 1: you need like a planet sized computer to do it? Yeah,

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Speaker 1: because we're seeing now that's a really good point that

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Speaker 1: I hadn't thought of in the context of the evolving

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Speaker 1: conversation around AI, that you know what, one of the

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Speaker 1: limitations we're running into with AI is that, like Sam

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Speaker 1: Altman is like we're having to burn down like three

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Speaker 1: rainforests tonight instead of two because people keep saying please

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Speaker 1: and thank you to the It was like, it's limited.

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Speaker 1: It's a computing power. It just requires to draw much

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Speaker 1: energy to train these things. So yeah, like if you're

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Speaker 1: going to run a hyper realistic simulation that fools billions

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Speaker 1: of people across the planet, like why, uh, like what

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Speaker 1: must what energy source must you be using you know, yeah, yeah,

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Speaker 1: is the answer depressing how little computing power it would take? Uh? No,

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Speaker 1: the answer is uh, depressedly large? So yeah, I mean

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Speaker 1: how many hamsters on a wheel? Good? Are we talking

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Speaker 1: about at least one hundred gorillas? Uh? That's somebody you need?

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Speaker 1: Yeah yeah, yeah, Wow, might easier like Okham's raiser. Might

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Speaker 1: just be that we're just doing this on our Yeah,

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Speaker 1: just why earn millions and millions of uh you know

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Speaker 1: what whatever the unit is for energy? When you can

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Speaker 1: when you can just have just be happening naturally already. Yeah.

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Speaker 3: Yeah, but you know, it turns out like the computer

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Speaker 3: chip in your computer or your laptops that has enough

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Speaker 3: transistors pretty much to match how many neurons you have

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Speaker 3: in your brain.

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Speaker 1: So we're kind of close. But the question is like,

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Speaker 1: how many actual transistors do you need to simulate one neuron?

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Speaker 1: Which might be you know, a thousand or or a

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Speaker 1: ten thousand, who knows, And so that's what I'm deep

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Speaker 1: into searching. Nice, So are you a you believe that

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Speaker 1: it's a simulation. I think that people I'm not super Yeah,

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Speaker 1: people will, yes, yes, people will find out.

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Speaker 3: The short answer is no. The short answer is probably. Actually,

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Speaker 3: the short answer is probably.

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Speaker 1: So. How when you're approaching a question like this, how

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Speaker 1: much of your research is just googling what does Elon

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Speaker 1: Musk say? Because like that's when I'm approaching a scientific thing.

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Speaker 1: I'm like, all right, well, let's check with richest guy

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Speaker 1: aka by the transit of property, smartest guy, what he say,

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Speaker 1: and then I just go with that for like ninety

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Speaker 1: percent of what I believe. Yeah, is that not how

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Speaker 1: you do research?

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Speaker 3: There is a lot of googling at first, but then

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Speaker 3: the gurgling turns into like reading academic papers, and then

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Speaker 3: turns into like talking to experts by phone, like calling

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Speaker 3: them and recording.

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Speaker 2: You use the woke phone to call woke experts on science?

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Speaker 1: WHOA what is uh? What's something you think is underrated?

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Speaker 1: I have something that I thought I thought was overrated,

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Speaker 1: but now I'm convinced it's underrated. Yeah.

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Speaker 3: So, as you know, I'm part of my career has

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Speaker 3: been as a cartoonist. I draw cartoons, comics, I illustrate

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Speaker 3: books for kids and adults. And I always thought, like,

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Speaker 3: you know, cartooning is so specific, you need like you know,

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Speaker 3: black lines, and there's so much style and personality in

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Speaker 3: them that AI is never going to be able to

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Speaker 3: compete with, like you know, Bill Watterson or a famous

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Speaker 3: famous cartoonist. But so I always thought I was a

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Speaker 3: little overrated. But now after the whole Studio Ghibli sation memes,

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Speaker 3: have you guys seen that where people are creating photos

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Speaker 3: of themselves in the style of Studio Ghibli, which is

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Speaker 3: this famous Japanese animation studio. Uh Now, I'm like, dang,

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Speaker 3: I'm glad I switched over to podcasting for my.

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Speaker 1: Cartoons.

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Speaker 3: Yestually recently, my daughter has been like illustrating funny illustrations

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Speaker 3: for this book project she's doing in school, and she's

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Speaker 3: just like talking to the AI online like, hey, can

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Speaker 3: you make me a drawing of this a teenage girl

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Speaker 3: looking this way, holding this in the style of this

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Speaker 3: with this as a background, And it's like boom there

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Speaker 3: it is, Yeah, as good as anything I could ever draw.

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Speaker 2: How do you look at that as someone who spent

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Speaker 2: a lifetime like honing a craft, like being able to

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Speaker 2: cartoon and draw, and then see that something like that

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Speaker 2: that you've spent hours doing has kind of just been

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Speaker 2: like transformed into a text prompt that could put something

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Speaker 2: out like do you.

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Speaker 1: Like what do you tell your kid?

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Speaker 2: Are you like, h you know, maybe you know it's

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Speaker 2: also fun like picking up a pen and drawing stuff too,

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Speaker 2: Like that's great.

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Speaker 3: Yeah, yeah, you know, it's not surprising. I guess I'm

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Speaker 3: a roboticist by training, and so you know, to me,

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Speaker 3: like humans, we were just like meat robots, you know,

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Speaker 3: and so technically anything in meat what could do, a

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Speaker 3: metallic robot could also do. So I'm not like surprised

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Speaker 3: that it's happening she can do it. But yeah, I

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Speaker 3: just really encourage people to draw. It's just just such

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Speaker 3: a fun activity. It's relaxing, it's good for your mental health,

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Speaker 3: it's good for your brainstorming. I USEDID a lot for brainstorming,

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Speaker 3: and and so I help people then lose the ability

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Speaker 3: to draw.

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Speaker 2: Yeah, yeah, I've definitely I've like I started, I was

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Speaker 2: doing coloring like adult coloring books recently because I realized

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Speaker 2: how much how much I really enjoyed like that sensation

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Speaker 2: as a kid of like just ye the lines and shit,

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Speaker 2: and I'm like, oh, this is this has many therapeutic

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Speaker 2: applications for me, even though it's not necessarily I'm you know,

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Speaker 2: trying to no one's bought any of my colorings. Yeah,

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Speaker 2: you know, but then it's like, you know, I spend

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Speaker 2: all this time coloring in the lines. Then I feel

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Speaker 2: like that magic is lost. If it's AI, I feel

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Speaker 2: like it's more impressive when I told him, like, no,

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Speaker 2: I with my own mind, I stayed inside the lines

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Speaker 2: when I color.

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Speaker 1: What is some of you thinks overrated?

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Speaker 3: What do I think it's overrated? This might be a

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Speaker 3: little controversial, but I've been watching The Last of Us

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Speaker 3: on TV, you guys fans of the show'm.

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Speaker 2: I played the games, and I know I know what

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Speaker 2: people are reacting to based on my history with the

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Speaker 2: video game. But I haven't watched season two yet. I

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Speaker 2: watched the first season. I really like the first season.

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Speaker 3: Okay, all right, Yeah, I feel like it's getting a

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Speaker 3: lot of critical attention, but I'm just like, you know,

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Speaker 3: it's it's like The Walking Dead, just with a little

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Speaker 3: more money. Yes, sorry, not a scientific topic, just last time.

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Speaker 3: I'm a big zombie enthusiast.

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Speaker 2: Yeah, and did you like how how long was Walking

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Speaker 2: Dead able to keep your attention? Because I like, after

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Speaker 2: the Frank it was that first season, After that Frank

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Speaker 2: Derabad season, I was like, well I can't.

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Speaker 1: I don't know, man, I was gonna check it. Yeah, yeah,

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Speaker 1: good question.

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Speaker 3: They lost me like it may be season five or six,

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Speaker 3: I think, yeah, yeah, it happens.

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Speaker 1: Okay, Yeah, what's your seminal? Like, what's your what's the

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Speaker 1: peak of zombie storytelling in for you? Oh? Boy? Uh.

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Speaker 1: One that maybe people haven't heard of is this Korean

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Speaker 1: teen high school drama called We Are All Dead on Netflix. Yeah,

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Speaker 1: teen drama but with zombies, and it's super grim and

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Speaker 1: super sad. But really, all of us are dead us. Yeah,

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Speaker 1: all of us are dead is the name of it.

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Speaker 1: Do you see Kingdom? That was another Korean zombie thing. Yeah,

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Speaker 1: my my Spause watched that. She's a big fan of that.

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Speaker 1: I think that they lost me on the costumes, you know.

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Speaker 1: For me, the zombie appeal is imagining the apocalypse and

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Speaker 1: how like how how I would react and how anyone

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Speaker 1: anyways reacting? Right trained to Bisson, they really do it

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Speaker 1: pretty well. Yeah, that's also a banger. So go to

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Speaker 1: Korea for all your zombie zombie shire zombies, k pop

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Speaker 1: and food there also and devices. All right, well we'll

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Speaker 1: get to some of your other thoughts on AI stuff

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Speaker 1: in a bit first, let's take a quick break and

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Speaker 1: we'll come back and talk about some news. We'll be

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Speaker 1: right back. And we're back.

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Speaker 2: We're back. We're back. God, we're sober. We're back at ninety.

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Speaker 2: We're back to nineteen fifty five. The Birdman Alcatraz is there.

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Speaker 2: The biggest creeps in America are locked up on the rock.

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Speaker 2: But yeah, Trump made just another as and I announcement

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Speaker 2: that probably won't happen because it's so stupid and unrealistic,

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Speaker 2: but anyway, here it goes. He wants to reopen Alcatraz,

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Speaker 2: the federal penitential that closed in nineteen sixty three. On

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Speaker 2: Sunday Night on Truth, he announced quote build and open Alcatraz.

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Speaker 2: For too long, America has been plagued by vicious, violent,

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Speaker 2: and repeat criminal offenders, the dregs of society who will

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Speaker 2: never contribute anything other than misery and suffering.

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Speaker 1: When we were more, when we were.

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Speaker 2: More serious nation, in times past, we did not hesitate

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Speaker 2: to lock up the most dangerous criminals and keep them

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Speaker 2: far away from anyone they could harm. That's the way

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Speaker 2: it's supposed to be.

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Speaker 1: No longer will we tolerate right outside of San Francisco. Yeah, exactly.

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Speaker 2: No longer will we tolerate these serial offenders who spread filth,

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Speaker 2: bloodshed and mayhem. Now he's like, I am now ordering

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Speaker 2: the Department of Justice Bureau of Prisons to reopen and

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Speaker 2: substantially enlarge and rebuild Alcatraz to how's America's most ruthless

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Speaker 2: and violent offenders enlarge in Ireland?

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Speaker 1: Mm hmm, yeah, yeah, okay.

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Speaker 3: I feel I feel like there's some Freudian context there,

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Speaker 3: make it bigger.

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Speaker 1: I think I feel like it's a lot bigger, bigger,

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Speaker 1: and like like the girth of the eye island should

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Speaker 1: be big and it should go high. It should be

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Speaker 1: longer than it should be girthy. Yes, that's the hands

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Speaker 1: of justice need to be bigger.

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Speaker 2: Right, exactly truly, And everyone's like, what the fuck is

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Speaker 2: he talking about?

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Speaker 1: Large? In large? Why are you looking, sir? Have you

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Speaker 1: all ever been to Alcatraz? Oh? Yeah, yeah yeah, fourth grade? Yeah,

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Speaker 1: but it's it's like it's not in good shape right, No,

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Speaker 1: it's fucking crump. I remember we were.

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Speaker 2: I remember being bummed out as a kid because it

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Speaker 2: was so fucked up looking like I thought you'd be like,

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Speaker 2: oh ship bro a because I went before the rock

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Speaker 2: came out, and you know, you just had all these

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Speaker 2: like ideas of your like, oh, man, like do people

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Speaker 2: get eaten by sharks who try and get off? It's

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Speaker 2: like it's all fun, and then it's just like the

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Speaker 2: most run down federal concrete prison you've ever seen.

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Speaker 1: It's like stuff dripping exactly. That's how we'll show them

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Speaker 1: that they Yeah, I was gonna say it's gonna cost

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Speaker 1: a lot of money to upgrade, but maybe maybe the

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Speaker 1: point is not to upgrade it. I have a lot

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Speaker 1: of money now that nobody is spending any money on

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Speaker 1: toys because we can't get them and we're.

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Speaker 2: Not living a thirty dollars economy anymore. But I mean again,

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Speaker 2: you're like what prompted this? Just from reading that text,

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Speaker 2: it sounds like a mix of frustration at judges for

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Speaker 2: enforcing the constitution and being like, yeah, due process is

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Speaker 2: at a minimum here or what the fuck are you thinking?

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Speaker 1: And like you can't just you do. I'm not going

431
00:24:28,640 --> 00:24:30,320
Speaker 1: to do the process. You do process.

432
00:24:30,400 --> 00:24:33,080
Speaker 2: Okay, that's fine, and you can say that, sir, but

433
00:24:33,240 --> 00:24:37,119
Speaker 2: the my order still stands. You cannot just disappear people

434
00:24:37,160 --> 00:24:39,840
Speaker 2: to El Salvador, Like this is some kind of fucking

435
00:24:40,119 --> 00:24:40,760
Speaker 2: Like really.

436
00:24:41,040 --> 00:24:44,880
Speaker 1: You heard about the like terrifying prisons and El Salvador

437
00:24:45,000 --> 00:24:47,680
Speaker 1: is like we need one of those, one of those

438
00:24:47,720 --> 00:24:50,560
Speaker 1: going up here. Well, by comparison, it makes out the

439
00:24:50,640 --> 00:24:51,240
Speaker 1: dress look good.

440
00:24:51,240 --> 00:24:54,000
Speaker 2: I think maybe right, yeah, maybe, I mean, but I think,

441
00:24:54,040 --> 00:24:55,520
Speaker 2: you know, like the other part is like the polls

442
00:24:55,520 --> 00:24:58,200
Speaker 2: are shifting in all the wrong directions still, like there's

443
00:24:58,240 --> 00:25:00,239
Speaker 2: another pole, like the holes came out now, Yeah, like

444
00:25:00,280 --> 00:25:03,680
Speaker 2: it's all going down. He's losing his grip on reality

445
00:25:03,760 --> 00:25:07,280
Speaker 2: and his bass, and I think especially with the economy

446
00:25:07,320 --> 00:25:11,399
Speaker 2: and immigration being like he's scoring particularly low. Marx, I

447
00:25:11,440 --> 00:25:14,399
Speaker 2: think reminding people that they live in some kind of

448
00:25:14,520 --> 00:25:19,040
Speaker 2: fucked up combination between Thunderdome and The Rock, Like he's

449
00:25:19,119 --> 00:25:22,280
Speaker 2: hoping to get people back in their back in touch

450
00:25:22,320 --> 00:25:24,560
Speaker 2: with their cruel side again, because he was like, when

451
00:25:24,560 --> 00:25:27,280
Speaker 2: we were more serious, we didn't hesitate to lock up

452
00:25:27,320 --> 00:25:29,919
Speaker 2: the most, Like you know, he's clearly trying to evoke that,

453
00:25:30,000 --> 00:25:33,200
Speaker 2: and I guess using the thought of Alcatraz to get

454
00:25:33,200 --> 00:25:36,120
Speaker 2: people excited. But again, this is like something that most

455
00:25:36,160 --> 00:25:40,080
Speaker 2: people don't even remember operating, and more people remember The

456
00:25:40,240 --> 00:25:41,480
Speaker 2: Rock the movie.

457
00:25:41,840 --> 00:25:45,720
Speaker 1: Yeah, like he's aware of like the average of what

458
00:25:46,040 --> 00:25:48,520
Speaker 1: everybody thinks, you know, like I just feel like he's

459
00:25:48,560 --> 00:25:53,199
Speaker 1: tapped into like whatever version of reality was on television

460
00:25:53,280 --> 00:25:56,000
Speaker 1: in the nineteen seventies, and like that's what he's drawing on.

461
00:25:56,200 --> 00:25:59,399
Speaker 1: And so like the Rock is most famous prison, and

462
00:25:59,440 --> 00:26:01,960
Speaker 1: he's like and it's they say it's impossible to escape

463
00:26:02,160 --> 00:26:05,720
Speaker 1: because the water is full of sharks. And it's like, meanwhile,

464
00:26:05,960 --> 00:26:09,720
Speaker 1: if you're like paying attention now, like they people they

465
00:26:09,760 --> 00:26:13,119
Speaker 1: do like recreational swims out to the rock and bag.

466
00:26:14,600 --> 00:26:17,080
Speaker 1: It's a thing that people do for fun. Maybe he's

467
00:26:17,080 --> 00:26:21,080
Speaker 1: gonna ripose Nicholas cage b our next National Tree. I think. Well.

468
00:26:21,200 --> 00:26:23,800
Speaker 2: Later on, he said, and now I am calling on

469
00:26:24,280 --> 00:26:29,639
Speaker 2: Brigadier General Francis X Hummel to be in charge. And

470
00:26:29,840 --> 00:26:32,359
Speaker 2: someone told him that was Ed Harris's character in The

471
00:26:32,480 --> 00:26:35,640
Speaker 2: Rock and from a harrow violent outburst when he said,

472
00:26:35,840 --> 00:26:39,040
Speaker 2: I want General Humble now. But yeah, and like to

473
00:26:39,040 --> 00:26:41,960
Speaker 2: your point, Jack, it does feel like someone left TNT

474
00:26:42,320 --> 00:26:45,359
Speaker 2: on the TV on all weekend near Trump and he

475
00:26:45,400 --> 00:26:48,720
Speaker 2: may be caught an hour of the Rock. But it

476
00:26:48,800 --> 00:26:51,440
Speaker 2: turns out someone on Blue Sky may have an even

477
00:26:51,520 --> 00:26:55,120
Speaker 2: more accurate prediction here as to what happened. Someone said

478
00:26:55,200 --> 00:26:59,440
Speaker 2: last night on WPBT and Palm Beach, they broadcast the

479
00:26:59,560 --> 00:27:03,720
Speaker 2: nineteen seventy nine Clint Eastwood film Escape from Alcatraz. Oh

480
00:27:03,760 --> 00:27:07,200
Speaker 2: my god, Trump was in Palm Beach that night.

481
00:27:07,680 --> 00:27:13,199
Speaker 1: Oh and that's that's like you've never far into television

482
00:27:13,640 --> 00:27:18,639
Speaker 1: a time. So that's definitely what happens. Definitely this is

483
00:27:18,680 --> 00:27:22,000
Speaker 1: a good one. They say, we could escape. He's really

484
00:27:22,000 --> 00:27:24,560
Speaker 1: good at distractions, right, like you know, the pull, like

485
00:27:24,560 --> 00:27:27,040
Speaker 1: you said, the pultar shifting in the ront direction. For him,

486
00:27:27,080 --> 00:27:29,439
Speaker 1: people are starting to get all this bad news, so

487
00:27:29,480 --> 00:27:31,280
Speaker 1: he's like, what can I say that we'll get people

488
00:27:31,320 --> 00:27:33,280
Speaker 1: to talk about something else. Yeah.

489
00:27:33,359 --> 00:27:36,520
Speaker 2: Yeah, it's like funny because it's like that's his instinct

490
00:27:36,680 --> 00:27:38,800
Speaker 2: and he doesn't even like, oh, that's actually pretty good.

491
00:27:38,880 --> 00:27:41,679
Speaker 2: Now they're not talking about all the ways the economy

492
00:27:41,760 --> 00:27:44,960
Speaker 2: is falling apart and how shipments have declined and all

493
00:27:44,960 --> 00:27:48,840
Speaker 2: these other myriad of problems. But also he gets to

494
00:27:49,440 --> 00:27:51,880
Speaker 2: say a pretend thing that feels really nice in his brain.

495
00:27:51,880 --> 00:27:55,760
Speaker 2: I mean, like everything he like thinks up has some

496
00:27:56,240 --> 00:28:00,199
Speaker 2: direct connection to pop culture or film because a he

497
00:28:00,280 --> 00:28:03,200
Speaker 2: can't read, so no new ideas are entering his brain

498
00:28:03,320 --> 00:28:05,919
Speaker 2: like that. But then also like you you couple that

499
00:28:06,000 --> 00:28:07,480
Speaker 2: up with the fact that like you know, he remember

500
00:28:07,520 --> 00:28:11,000
Speaker 2: he's like obsessed with the gold in Fort Knox too.

501
00:28:11,240 --> 00:28:15,200
Speaker 1: Yeah, he just it's truly like a just icon based

502
00:28:15,320 --> 00:28:18,160
Speaker 1: view of the world where there's like, yeah, one famous prison,

503
00:28:18,240 --> 00:28:21,679
Speaker 1: one famous like bank, or like gold vault, and it's like,

504
00:28:22,080 --> 00:28:25,800
Speaker 1: you know it also the stuff that was around and

505
00:28:25,880 --> 00:28:29,320
Speaker 1: popular in the seventies when he was like coming of age,

506
00:28:29,359 --> 00:28:31,840
Speaker 1: you know, wasn't there a Nicholas Cage will be about

507
00:28:31,840 --> 00:28:36,359
Speaker 1: Fort Knox maybe, uh, the Constitution also, he loves to

508
00:28:36,359 --> 00:28:40,280
Speaker 1: talk about the Constitution, that Nicholas Cage did steal the Constitution.

509
00:28:41,480 --> 00:28:43,120
Speaker 2: I mean also then and at the end of the

510
00:28:43,240 --> 00:28:45,360
Speaker 2: rock that you know they claim to see how JFK

511
00:28:45,600 --> 00:28:47,640
Speaker 2: was killed if you remember on that micro feel is

512
00:28:47,640 --> 00:28:48,320
Speaker 2: obsessed with that.

513
00:28:50,560 --> 00:28:53,880
Speaker 1: Some could argue that he became president just so you

514
00:28:53,920 --> 00:28:57,520
Speaker 1: could find out that give me the Nichols Cage.

515
00:28:57,800 --> 00:28:59,640
Speaker 2: Maybe that's why he has the because I think he

516
00:28:59,720 --> 00:29:02,360
Speaker 2: has a copy of the Constitution or maybe it's the

517
00:29:02,360 --> 00:29:06,320
Speaker 2: Declaration of He has one of those seminole founding documents in.

518
00:29:06,320 --> 00:29:08,480
Speaker 1: His behind it, yeah, behind his death. Yeah, and he's

519
00:29:08,480 --> 00:29:10,080
Speaker 1: like maybe he's like pretty cool.

520
00:29:10,440 --> 00:29:12,680
Speaker 2: Nicolas Cage won't be able to get his little fucking

521
00:29:12,760 --> 00:29:13,880
Speaker 2: Coppola hands on it.

522
00:29:14,520 --> 00:29:16,320
Speaker 1: You know, he's a nayless cage.

523
00:29:16,600 --> 00:29:19,440
Speaker 2: His whole career is just him saying he's obsessed with

524
00:29:19,520 --> 00:29:21,760
Speaker 2: him being a Coppola too, just like a weird fact.

525
00:29:21,800 --> 00:29:22,400
Speaker 1: He's like, he's not.

526
00:29:22,680 --> 00:29:25,000
Speaker 2: That's not his real last name. It's Francis Ford Coppola's

527
00:29:25,040 --> 00:29:26,680
Speaker 2: nephew RFK Junior.

528
00:29:26,800 --> 00:29:29,560
Speaker 1: How are we going to approach the face off question?

529
00:29:30,040 --> 00:29:32,920
Speaker 1: I want to take his face and put it on mine.

530
00:29:32,680 --> 00:29:36,480
Speaker 2: Which is funny. Maybe Trump could ask his friend Secretary

531
00:29:36,520 --> 00:29:40,160
Speaker 2: Brainworm why his daddy shut the place down in nineteen

532
00:29:40,240 --> 00:29:44,520
Speaker 2: sixty two when RFK was the Attorney General. Mistake because

533
00:29:44,560 --> 00:29:47,600
Speaker 2: again for people don't realize, like why Alcatraz shut down.

534
00:29:47,760 --> 00:29:51,600
Speaker 2: It cost way too much to operate since it was

535
00:29:51,720 --> 00:29:56,280
Speaker 2: on a fucking island and everything there wasn't even fresh water,

536
00:29:56,520 --> 00:30:00,160
Speaker 2: like a yeah, yeah, they had to bring tankers of

537
00:30:00,200 --> 00:30:02,840
Speaker 2: like million gallons of time just to like replenish the

538
00:30:02,840 --> 00:30:06,880
Speaker 2: fresh water supply on Alcatraz. It was also falling apart

539
00:30:06,880 --> 00:30:08,520
Speaker 2: to the point where they're like, it's just going to

540
00:30:08,560 --> 00:30:10,680
Speaker 2: get easier to escape, Like people are literally just like

541
00:30:10,720 --> 00:30:13,800
Speaker 2: scraping away at the wall and swimming away like this

542
00:30:13,880 --> 00:30:17,120
Speaker 2: isn't this isn't going to work, and also it can

543
00:30:17,200 --> 00:30:21,040
Speaker 2: only it could only hold three hundred and thirty six inmates.

544
00:30:21,120 --> 00:30:26,800
Speaker 1: Is that real? Yes, definitely worth whatever A billion dollar

545
00:30:26,960 --> 00:30:29,120
Speaker 1: project that he's going to be putting together to try.

546
00:30:29,240 --> 00:30:31,720
Speaker 2: Yeah, yeah, they're saying, like a half billion will probably do.

547
00:30:32,240 --> 00:30:33,719
Speaker 1: And you can only put people who don't know how

548
00:30:33,720 --> 00:30:37,520
Speaker 1: to swim because otherwise right right exactly, yeah exactly, I mean,

549
00:30:37,680 --> 00:30:41,600
Speaker 1: and it's basically like shark infested water, which like we

550
00:30:41,760 --> 00:30:45,320
Speaker 1: now know like sharks don't want to eat us, so

551
00:30:45,400 --> 00:30:48,120
Speaker 1: like you just don't just don't get eaten by a shark.

552
00:30:48,160 --> 00:30:50,320
Speaker 1: You pretty easy to just swim across the thing and

553
00:30:50,320 --> 00:30:53,040
Speaker 1: not get eaten by sure plus, or you could just

554
00:30:53,120 --> 00:30:55,800
Speaker 1: keep the prisoners fed and then they can't swim until

555
00:30:55,800 --> 00:30:56,560
Speaker 1: after three minutes.

556
00:30:56,600 --> 00:30:58,920
Speaker 2: Exactly, you don't want to swim after that, you just

557
00:30:58,960 --> 00:31:02,120
Speaker 2: date you don't want Yeah, you can we feed them

558
00:31:02,160 --> 00:31:06,440
Speaker 2: every thirty minutes to prevent them from swimming away. Oh okay,

559
00:31:06,720 --> 00:31:08,280
Speaker 2: Just we're combining all kinds of myths.

560
00:31:08,280 --> 00:31:09,840
Speaker 1: Now. It feels like the next thing he's going to

561
00:31:09,920 --> 00:31:12,160
Speaker 1: attack is quicksand he's going to be like, we need

562
00:31:12,160 --> 00:31:15,680
Speaker 1: to end quicksand in the United States, Like it feels

563
00:31:15,720 --> 00:31:18,080
Speaker 1: like it's on the same level of like what a

564
00:31:18,200 --> 00:31:21,360
Speaker 1: child in the nineteen seventies thought was like cool and

565
00:31:21,440 --> 00:31:22,560
Speaker 1: scary and a big deal.

566
00:31:22,920 --> 00:31:26,480
Speaker 2: I was wrong, Yeah, I was wrong about the border wall.

567
00:31:26,560 --> 00:31:29,240
Speaker 2: We actually need to have a border of quicksand there

568
00:31:29,280 --> 00:31:31,400
Speaker 2: we go. No one will be able to pass. That's

569
00:31:31,480 --> 00:31:35,480
Speaker 2: my new idea. I'm again like he's at this rate,

570
00:31:35,560 --> 00:31:38,480
Speaker 2: he should be talking about storming Area fifty one pretty soon.

571
00:31:39,040 --> 00:31:40,640
Speaker 2: Oh yeah, unless he has the key.

572
00:31:40,760 --> 00:31:42,720
Speaker 1: Doesn't he have a doesn't he have the keys to it?

573
00:31:43,200 --> 00:31:44,800
Speaker 2: I think he just hasn't seen a movie. I think

574
00:31:44,800 --> 00:31:47,000
Speaker 2: he needs someone he's to show him Independence Day so

575
00:31:47,000 --> 00:31:49,640
Speaker 2: he can realize what kind of treasures they got locked

576
00:31:49,680 --> 00:31:50,120
Speaker 2: up in there.

577
00:31:51,000 --> 00:31:55,760
Speaker 1: Just checked out this new movie Independence Day. All right,

578
00:31:55,840 --> 00:31:58,440
Speaker 1: let's talk Let's talk AI real quick, because this is

579
00:31:58,480 --> 00:32:02,440
Speaker 1: something that I think ties into some of the hypnotism

580
00:32:02,480 --> 00:32:07,280
Speaker 1: stuff that you covering your hypnotism episode. But basically I

581
00:32:07,320 --> 00:32:13,240
Speaker 1: always remark on like how our modern technology seems designed

582
00:32:13,280 --> 00:32:16,080
Speaker 1: to rob us of free will, and like how it's

583
00:32:16,240 --> 00:32:18,440
Speaker 1: so much depressing when you like look around and just

584
00:32:18,480 --> 00:32:21,360
Speaker 1: everybody's glued to their phone in just like on a

585
00:32:21,400 --> 00:32:25,120
Speaker 1: college campus or in a cafeteria, just nobody's like looking

586
00:32:25,160 --> 00:32:28,600
Speaker 1: at each other or interacting. Everybody's just at an feeling

587
00:32:28,640 --> 00:32:33,240
Speaker 1: table every night. Yeah, like fifteen oh, no, like fifteen

588
00:32:33,320 --> 00:32:36,800
Speaker 1: years ago. If you just like transported somebody to this point,

589
00:32:36,920 --> 00:32:40,080
Speaker 1: they'd be like, well, this looks like a fucking dystopia.

590
00:32:40,360 --> 00:32:43,480
Speaker 1: Like everybody's just glued to their phone.

591
00:32:43,400 --> 00:32:46,120
Speaker 2: And it's like the beginning of Shot of the Dead, right, Yeah,

592
00:32:46,360 --> 00:32:48,960
Speaker 2: kind of likening our phones used to zombiism.

593
00:32:49,240 --> 00:32:54,520
Speaker 1: Yeah. So when on last week's episode with doctor Carrie mcnernie,

594
00:32:54,680 --> 00:32:59,160
Speaker 1: you you had asked, like, is this AI going to

595
00:32:59,280 --> 00:33:02,320
Speaker 1: be used to fuck with us? And more specifically like

596
00:33:02,440 --> 00:33:03,320
Speaker 1: market to us?

597
00:33:03,640 --> 00:33:06,360
Speaker 2: Right, because we're giving it all kinds of information about

598
00:33:06,360 --> 00:33:10,080
Speaker 2: like what we like, what we want, how we want it,

599
00:33:10,560 --> 00:33:13,320
Speaker 2: how to get there, how we even problem solve. It's

600
00:33:13,320 --> 00:33:15,959
Speaker 2: so much more specific than like I spent ten minutes

601
00:33:16,000 --> 00:33:18,800
Speaker 2: on this website. It's more like this person wants to

602
00:33:18,800 --> 00:33:22,719
Speaker 2: figure out how they can increase their vertical jump at

603
00:33:23,120 --> 00:33:25,760
Speaker 2: the age of forty. And now you know a lot

604
00:33:25,800 --> 00:33:28,240
Speaker 2: about me and what my beliefs are ABU my physical reality,

605
00:33:28,280 --> 00:33:30,560
Speaker 2: and I could probably be marketed supplements or something like that.

606
00:33:30,640 --> 00:33:33,040
Speaker 1: And it knows how you talk, and therefore it knows

607
00:33:33,040 --> 00:33:35,400
Speaker 1: how to talk back to you, which I guess is

608
00:33:35,520 --> 00:33:40,240
Speaker 1: actually very successful or very important factor when it comes

609
00:33:40,320 --> 00:33:44,000
Speaker 1: to like teaching people, like how to manipulate people is

610
00:33:44,160 --> 00:33:47,520
Speaker 1: basically like if you can talk to them using some

611
00:33:47,640 --> 00:33:50,120
Speaker 1: of the same kind of language and like it's like

612
00:33:50,200 --> 00:33:53,600
Speaker 1: mirror field of ideas that they have, then yeah, like

613
00:33:53,640 --> 00:33:57,480
Speaker 1: that these are the things that they're excited about. That

614
00:33:57,600 --> 00:33:59,239
Speaker 1: a lot of the people who work in AI, Like

615
00:33:59,680 --> 00:34:03,280
Speaker 1: so doctor Carrie like reached back out and was like, hey,

616
00:34:03,400 --> 00:34:05,320
Speaker 1: you should check these articles out, Like that was a

617
00:34:05,320 --> 00:34:09,560
Speaker 1: really good question, and the articles are terrifying. One is

618
00:34:09,640 --> 00:34:13,279
Speaker 1: like a MIT like long academic paper that Jorge, You'd

619
00:34:13,280 --> 00:34:18,520
Speaker 1: probably be better at deciphering than I would. But it's

620
00:34:18,560 --> 00:34:21,640
Speaker 1: This Forbes article is interesting because it kind of presents

621
00:34:21,680 --> 00:34:25,600
Speaker 1: it as like here's an exciting wing. Yeah yeah, yeah,

622
00:34:26,280 --> 00:34:28,680
Speaker 1: as they put it, doing their best to hide their boner.

623
00:34:29,120 --> 00:34:33,239
Speaker 1: AI assistance could start manipulating you into making decisions and

624
00:34:33,280 --> 00:34:36,399
Speaker 1: then selling your plans to the highest bidder before you've

625
00:34:36,440 --> 00:34:40,440
Speaker 1: even consciously made your mind up. AI agents, from chatbot

626
00:34:40,480 --> 00:34:44,600
Speaker 1: assistants to digital tutors and girlfriends could exploit the access

627
00:34:44,640 --> 00:34:48,279
Speaker 1: that they have to our psychological and behavioral data and

628
00:34:48,360 --> 00:34:54,200
Speaker 1: manipulate our responses by mimicking personalities and anticipating desired responses.

629
00:34:55,239 --> 00:35:00,439
Speaker 1: The fact that they even have the word manipulate, it's

630
00:35:00,480 --> 00:35:03,400
Speaker 1: like the fusing. Like all of these technologies that I

631
00:35:03,400 --> 00:35:07,640
Speaker 1: think the social media, like feeds and like the algorithms

632
00:35:07,640 --> 00:35:10,040
Speaker 1: that they use, I think people just like took them

633
00:35:10,080 --> 00:35:12,000
Speaker 1: at face value of like it's going to show me

634
00:35:12,080 --> 00:35:15,200
Speaker 1: pictures that I want to see and people weren't like

635
00:35:15,320 --> 00:35:19,120
Speaker 1: And they're working with the people who designed addictive gambling

636
00:35:19,520 --> 00:35:22,319
Speaker 1: games to like figure out how to make it so

637
00:35:22,360 --> 00:35:25,440
Speaker 1: that you never want to stop and like can't stop

638
00:35:25,520 --> 00:35:30,600
Speaker 1: looking or interacting with the thing. So it's troubling. And

639
00:35:31,200 --> 00:35:34,239
Speaker 1: it's like there's all sorts of really sophisticated ways that

640
00:35:34,280 --> 00:35:39,040
Speaker 1: they're you know, manipulating or convincing or doing all these things.

641
00:35:39,080 --> 00:35:42,200
Speaker 1: And I'm just curious Orge kind of as a former

642
00:35:42,280 --> 00:35:46,040
Speaker 1: roboticist and somebody who's you know, recently done deep dives

643
00:35:46,080 --> 00:35:49,279
Speaker 1: into things like hypnotism and stuff like that, like, how

644
00:35:49,320 --> 00:35:52,040
Speaker 1: do you how do you think about this sort of thing?

645
00:35:52,560 --> 00:35:55,040
Speaker 3: Yeah, well, I think it kind of goes back to

646
00:35:55,360 --> 00:35:57,680
Speaker 3: even the nineteen nineties you know what made Google so

647
00:35:57,880 --> 00:36:02,560
Speaker 3: revolutionary and was that it was a good search engine,

648
00:36:02,680 --> 00:36:05,560
Speaker 3: but it was good at giving you ads that it

649
00:36:05,680 --> 00:36:08,960
Speaker 3: thought that you wanted to see, right, And so I

650
00:36:09,000 --> 00:36:11,880
Speaker 3: think part of was this human humans kind of want that,

651
00:36:11,960 --> 00:36:13,359
Speaker 3: you know, like we don't want to be shown as

652
00:36:13,400 --> 00:36:15,640
Speaker 3: for things we don't would never buy or never want

653
00:36:15,680 --> 00:36:18,280
Speaker 3: to see, right, We want to be shown as it

654
00:36:18,360 --> 00:36:20,719
Speaker 3: kind of help us. And in fact, if you look

655
00:36:20,760 --> 00:36:24,000
Speaker 3: at research into like happiness, like what makes people happy

656
00:36:24,640 --> 00:36:27,920
Speaker 3: at some point, like having too many choices in your

657
00:36:27,960 --> 00:36:32,000
Speaker 3: life makes you unhappy, right, yeah, in a way, like

658
00:36:32,080 --> 00:36:34,520
Speaker 3: we kind of need help a little bit just helping

659
00:36:34,600 --> 00:36:37,400
Speaker 3: us make decisions, and something that maybe helps you narrow

660
00:36:37,440 --> 00:36:40,920
Speaker 3: your choices down can make you a little bit happier.

661
00:36:41,440 --> 00:36:44,319
Speaker 3: But as you said, you know, humans have a long

662
00:36:44,400 --> 00:36:47,600
Speaker 3: history of manipulating others, using whatever tools are available to

663
00:36:48,000 --> 00:36:52,759
Speaker 3: manipulate others, and so yeah, you can definitely imagine that

664
00:36:53,000 --> 00:36:56,759
Speaker 3: being used to like influence what you buy, what you

665
00:36:56,960 --> 00:37:01,280
Speaker 3: what you're into. And what I learned from hypnotism looking

666
00:37:01,320 --> 00:37:05,880
Speaker 3: into hypnotism for one of our episodes was and I

667
00:37:05,920 --> 00:37:08,320
Speaker 3: actually got hypnotized in the episodes. We can talk a

668
00:37:08,360 --> 00:37:09,680
Speaker 3: little bit about that if you like.

669
00:37:09,760 --> 00:37:12,160
Speaker 1: Are you still under by the way right? Yeah, yeah,

670
00:37:12,239 --> 00:37:14,839
Speaker 1: I'm still I'm still hopping. That's why I do the show.

671
00:37:15,920 --> 00:37:17,239
Speaker 1: I'm still hopping on one leg.

672
00:37:19,360 --> 00:37:21,600
Speaker 3: Is that you know, at the end of the day,

673
00:37:22,320 --> 00:37:25,239
Speaker 3: you have a subconscious you know, then people can mess with,

674
00:37:25,400 --> 00:37:28,080
Speaker 3: people can tread influence, but at the end of the day,

675
00:37:28,080 --> 00:37:30,160
Speaker 3: it's still your choice on things. You know, you're the

676
00:37:30,200 --> 00:37:32,239
Speaker 3: one who's still give on things. You're the one who's

677
00:37:32,280 --> 00:37:35,560
Speaker 3: making all of these options. And so yeah, there's totally

678
00:37:35,600 --> 00:37:39,120
Speaker 3: the potential to influence people in a bad way in

679
00:37:39,120 --> 00:37:44,040
Speaker 3: a good way, but hopefully people still exercise their free will, yeah.

680
00:37:43,960 --> 00:37:44,640
Speaker 1: Or understand.

681
00:37:44,680 --> 00:37:46,400
Speaker 2: I think that the very least people need to understand

682
00:37:46,440 --> 00:37:49,120
Speaker 2: that their free will is under attack. I think that's

683
00:37:49,160 --> 00:37:51,920
Speaker 2: the difference is that there's a lot of these passive

684
00:37:51,960 --> 00:37:55,880
Speaker 2: ways that seemingly are like, well that's crazy. Instagram knows

685
00:37:55,880 --> 00:37:58,960
Speaker 2: like what I want to buy, like every time, like

686
00:37:59,000 --> 00:38:01,480
Speaker 2: I'm just buying stuff there, and I agree. Like there's

687
00:38:01,520 --> 00:38:04,160
Speaker 2: sometimes I'm like, oh shit, this is actually something I'm

688
00:38:04,200 --> 00:38:06,640
Speaker 2: really interested in and I'm glad I found out about

689
00:38:06,719 --> 00:38:08,839
Speaker 2: other times I'm like, who do you think I am?

690
00:38:08,920 --> 00:38:09,960
Speaker 1: And why would I want this?

691
00:38:11,160 --> 00:38:14,399
Speaker 2: But I think understanding how I think, really understanding how

692
00:38:14,400 --> 00:38:17,200
Speaker 2: the people like from this MIT paper, like this is

693
00:38:17,239 --> 00:38:19,680
Speaker 2: really chilling right from this MIT paper says quote, we

694
00:38:19,719 --> 00:38:23,880
Speaker 2: survey recent efforts by tech executives to position the capture, manipulation,

695
00:38:24,000 --> 00:38:27,880
Speaker 2: and commodification of human intentionality as a lucrative parallel to

696
00:38:28,320 --> 00:38:32,279
Speaker 2: and viable extension of the now dominant attention economy, which

697
00:38:32,280 --> 00:38:35,760
Speaker 2: has bent consumers, civic and media norms around users finite

698
00:38:35,800 --> 00:38:38,760
Speaker 2: attention span since the nineteen nineties. We call this follow

699
00:38:38,840 --> 00:38:43,040
Speaker 2: on the intention economy of like to understand it's like, yes,

700
00:38:43,080 --> 00:38:45,200
Speaker 2: we have our free will, but also know that there

701
00:38:45,200 --> 00:38:48,759
Speaker 2: are people that are at these levers that can absolutely

702
00:38:48,760 --> 00:38:51,640
Speaker 2: have an effect on what we perceive to be like

703
00:38:51,680 --> 00:38:54,719
Speaker 2: the decisions we're making independently. And I think that's the

704
00:38:54,800 --> 00:38:57,640
Speaker 2: part I think to get in touch with a little more,

705
00:38:57,680 --> 00:39:00,120
Speaker 2: because I think as long as you know that that

706
00:39:00,120 --> 00:39:02,400
Speaker 2: that's better than like talking to like one of my

707
00:39:02,440 --> 00:39:05,319
Speaker 2: older parents who has no dude. My mom showed me

708
00:39:05,360 --> 00:39:08,759
Speaker 2: this AI slop video and she's like, why would this

709
00:39:09,000 --> 00:39:15,200
Speaker 2: giraffe do this? And I was like, Mom, no, Like

710
00:39:15,320 --> 00:39:17,439
Speaker 2: if it felt like I was watching her turn into

711
00:39:17,440 --> 00:39:19,120
Speaker 2: like a smith or something like with her.

712
00:39:19,120 --> 00:39:21,799
Speaker 1: Red, I say why I did this.

713
00:39:22,200 --> 00:39:24,360
Speaker 2: I'm like, hey, bullshit, let it go.

714
00:39:25,080 --> 00:39:25,279
Speaker 1: Yeah.

715
00:39:25,320 --> 00:39:27,799
Speaker 2: But the second I told her, like all these things

716
00:39:27,880 --> 00:39:30,040
Speaker 2: just start up, She's like, oh shit, I didn't. She's like,

717
00:39:30,200 --> 00:39:31,920
Speaker 2: it's the first time I saw anything like this. But

718
00:39:31,960 --> 00:39:34,640
Speaker 2: now this makes sense because other people I know will

719
00:39:34,680 --> 00:39:36,920
Speaker 2: talk about things like this. I think we have to

720
00:39:36,960 --> 00:39:40,680
Speaker 2: at least have that attention on it to help safeguard.

721
00:39:40,880 --> 00:39:42,960
Speaker 3: There's definitely like a line right where you know, if

722
00:39:43,000 --> 00:39:46,680
Speaker 3: you're paying for an AI to help you and it

723
00:39:46,760 --> 00:39:49,319
Speaker 3: actually has your best interests in mind and really wants

724
00:39:49,320 --> 00:39:51,719
Speaker 3: to give you something that you might like, then I

725
00:39:51,719 --> 00:39:54,399
Speaker 3: think that can be helpful. But if you or if

726
00:39:54,400 --> 00:39:56,600
Speaker 3: they don't tell you that they're also taking money from

727
00:39:56,600 --> 00:39:59,120
Speaker 3: an advertiser to try to feed you these things, then

728
00:39:59,480 --> 00:40:03,000
Speaker 3: that's what gets really sketch or a political campaign or

729
00:40:03,040 --> 00:40:04,200
Speaker 3: candidate or party.

730
00:40:04,280 --> 00:40:06,279
Speaker 2: I mean, it's all like that's the thing is like,

731
00:40:06,640 --> 00:40:09,680
Speaker 2: as these tools get developed, like very quickly, a fork

732
00:40:09,760 --> 00:40:11,640
Speaker 2: is in the road where it's like, do you do

733
00:40:11,760 --> 00:40:14,319
Speaker 2: the thing that you do right by human beings or

734
00:40:14,360 --> 00:40:16,160
Speaker 2: do you do the thing that you have a very

735
00:40:16,280 --> 00:40:19,360
Speaker 2: lucrative party trick you can sell companies.

736
00:40:19,800 --> 00:40:22,760
Speaker 1: There's a there's a metaphor that a lot of people

737
00:40:22,880 --> 00:40:26,320
Speaker 1: use that has I've always used because I think, without

738
00:40:26,320 --> 00:40:29,879
Speaker 1: realizing it, it gives me hope and like comfort, which

739
00:40:29,920 --> 00:40:32,160
Speaker 1: is like in a few years, like people are going

740
00:40:32,200 --> 00:40:35,799
Speaker 1: to look back on everybody having like kids all having

741
00:40:35,840 --> 00:40:38,400
Speaker 1: screens and like everybody just like being on their screens

742
00:40:38,440 --> 00:40:40,359
Speaker 1: at all times of the day, the way we look

743
00:40:40,400 --> 00:40:44,000
Speaker 1: back on like the nineteen fifties and sixties and everybody smoking,

744
00:40:44,560 --> 00:40:50,120
Speaker 1: and that I think gives me comfort because it's like, yeah,

745
00:40:50,160 --> 00:40:52,600
Speaker 1: but then we got over that. You know, we've realized

746
00:40:52,680 --> 00:40:55,239
Speaker 1: that that was bad for us and we stopped doing it.

747
00:40:55,560 --> 00:40:59,239
Speaker 1: But like in order to make smoking illegal, like that

748
00:40:59,360 --> 00:41:03,840
Speaker 1: was a multi tied decade like battle where we were like, no,

749
00:41:04,000 --> 00:41:07,240
Speaker 1: the like look at these charts, like it's the science

750
00:41:07,320 --> 00:41:11,520
Speaker 1: is inarguable, Like it is literally like there's a smoking

751
00:41:11,640 --> 00:41:15,919
Speaker 1: gun here, like this is you are being killed by

752
00:41:16,000 --> 00:41:19,160
Speaker 1: these cigarettes. And like even then, just the forces of

753
00:41:19,280 --> 00:41:23,880
Speaker 1: like capital that we're behind smoking, we're just like we're

754
00:41:24,080 --> 00:41:26,800
Speaker 1: still wait, we're still holding a wait and see position

755
00:41:27,080 --> 00:41:31,120
Speaker 1: on Errand I just I don't think we're going to

756
00:41:31,200 --> 00:41:35,960
Speaker 1: get that smoking gun with phones like I think because

757
00:41:36,000 --> 00:41:39,960
Speaker 1: it's more of a like spiritual thing. You know, it's

758
00:41:40,000 --> 00:41:43,080
Speaker 1: more of a phenomenological like I don't know, like if

759
00:41:43,120 --> 00:41:45,480
Speaker 1: you ask yourself ten years ago, if you showed yourself

760
00:41:45,480 --> 00:41:49,480
Speaker 1: a video of like what your family dinner looks like today,

761
00:41:50,040 --> 00:41:52,240
Speaker 1: like where everybody's just on their phones and not looking

762
00:41:52,239 --> 00:41:54,759
Speaker 1: at each other, and like there are ads that like

763
00:41:54,800 --> 00:41:56,600
Speaker 1: make fun of the idea of like trying to have

764
00:41:56,640 --> 00:42:00,200
Speaker 1: a family dinner without phones like that. That's one of

765
00:42:00,200 --> 00:42:03,000
Speaker 1: the ads that keeps running in the NBA playoffs is

766
00:42:03,080 --> 00:42:06,160
Speaker 1: like people being like, let's just put our phones away

767
00:42:06,200 --> 00:42:09,200
Speaker 1: real quick and then have a conversation. And then somebody

768
00:42:09,200 --> 00:42:11,720
Speaker 1: says something really boring and they're like, okay, back to phones.

769
00:42:11,760 --> 00:42:16,640
Speaker 1: Back to phone, Like it's a fucking bummer. Like, but

770
00:42:16,719 --> 00:42:19,120
Speaker 1: I don't think that that's gonna be enough to make

771
00:42:19,160 --> 00:42:21,400
Speaker 1: it like a smoking gun, where we like get rid

772
00:42:21,480 --> 00:42:22,399
Speaker 1: of the technology.

773
00:42:23,400 --> 00:42:26,120
Speaker 3: That's a great analogy though with smoking Maybe maybe need

774
00:42:26,160 --> 00:42:28,239
Speaker 3: to start with restaurants, you know, my restaurants need to

775
00:42:28,239 --> 00:42:30,120
Speaker 3: have like a no phone.

776
00:42:30,200 --> 00:42:32,160
Speaker 1: I mean, I feel like that would be trendy, but

777
00:42:32,200 --> 00:42:34,800
Speaker 1: it would never like take over, like the Surgeon General

778
00:42:34,880 --> 00:42:36,240
Speaker 1: is never gonna be like you must.

779
00:42:36,840 --> 00:42:39,879
Speaker 2: Maybe it happened where they're like there was a this guy,

780
00:42:40,320 --> 00:42:43,319
Speaker 2: the sushi chef Nozawa, who if you've heard of the

781
00:42:43,360 --> 00:42:47,400
Speaker 2: sugarfish like restaurant chain, it's comes from this guy in Nozawa.

782
00:42:47,920 --> 00:42:50,360
Speaker 2: And when he like he started off with a small

783
00:42:50,400 --> 00:42:53,279
Speaker 2: sushi shop on Ventura Boulevard in the valley, and when

784
00:42:53,360 --> 00:42:55,480
Speaker 2: cell phones became a thing because a ton of studio

785
00:42:55,520 --> 00:42:57,919
Speaker 2: people would go in there, he had a no cell

786
00:42:57,960 --> 00:43:01,560
Speaker 2: phone pot Like he would throw fucking people out mid.

787
00:43:01,440 --> 00:43:03,279
Speaker 1: Meal for picking up a phone.

788
00:43:03,040 --> 00:43:05,560
Speaker 2: Call, and it became legendary. But then it was like

789
00:43:05,719 --> 00:43:07,840
Speaker 2: then very quickly he like gave up.

790
00:43:07,880 --> 00:43:10,879
Speaker 1: He's like, I can't, I can't baddle every he gave up.

791
00:43:10,920 --> 00:43:12,200
Speaker 1: Oh no, yeah, yeah.

792
00:43:12,200 --> 00:43:14,000
Speaker 2: I mean because I think once you throw out a

793
00:43:14,000 --> 00:43:19,120
Speaker 2: few studio executives, probably it becomes bad for business exactly.

794
00:43:19,160 --> 00:43:22,160
Speaker 1: And like I mean think about like this is phones

795
00:43:22,239 --> 00:43:25,040
Speaker 1: are going to be or you know, AI assistants are

796
00:43:25,040 --> 00:43:27,600
Speaker 1: going to be how like all business is conducted. So

797
00:43:27,719 --> 00:43:31,280
Speaker 1: I'm assuming also will be seen as bad for business

798
00:43:31,320 --> 00:43:34,279
Speaker 1: to institute laws Like I just think it's going to

799
00:43:34,360 --> 00:43:37,880
Speaker 1: be on us to make these decisions to like, you know,

800
00:43:38,120 --> 00:43:41,480
Speaker 1: live with free will or not. And I think like

801
00:43:41,520 --> 00:43:44,000
Speaker 1: to the you know, one of the key takeaways from

802
00:43:44,000 --> 00:43:47,239
Speaker 1: your hypnotism episode is like, you can't be hypnotized into

803
00:43:47,280 --> 00:43:50,680
Speaker 1: doing something you don't want to do. But I also

804
00:43:50,840 --> 00:43:52,319
Speaker 1: to the to the point that you just raised, like

805
00:43:52,360 --> 00:43:55,040
Speaker 1: I think a lot of people will want the AI

806
00:43:55,120 --> 00:43:57,839
Speaker 1: assistant to just like be like, I don't know, man,

807
00:43:58,680 --> 00:44:00,759
Speaker 1: I got a lot going on, Like you just take

808
00:44:00,800 --> 00:44:02,440
Speaker 1: it from here, serious.

809
00:44:02,880 --> 00:44:05,040
Speaker 3: Show me something that I'm gonna it's gonna relax me.

810
00:44:05,320 --> 00:44:07,040
Speaker 3: But I think where it gets tricky is kind of

811
00:44:07,040 --> 00:44:10,200
Speaker 3: the socioeconomical part, right, Like, yeah, people people who can

812
00:44:10,239 --> 00:44:12,719
Speaker 3: afford it will pay for the like the clean, neutral,

813
00:44:13,360 --> 00:44:15,719
Speaker 3: nice version of AI. But people who can afford it

814
00:44:16,080 --> 00:44:20,400
Speaker 3: will have to you know, add supported versions and add

815
00:44:20,560 --> 00:44:26,560
Speaker 3: hypnotize you know, add subliminal messages version because that's what

816
00:44:26,600 --> 00:44:27,560
Speaker 3: they can afford.

817
00:44:28,080 --> 00:44:31,279
Speaker 2: Yeah, yeah, it's yeah, it's very I mean, like I'm

818
00:44:31,320 --> 00:44:34,240
Speaker 2: also like, from a scientific perspective, do you ever worry

819
00:44:34,280 --> 00:44:37,320
Speaker 2: about like you you hear a lot about like language

820
00:44:37,320 --> 00:44:41,160
Speaker 2: gemony and research and how like the English language dominates

821
00:44:41,160 --> 00:44:44,080
Speaker 2: a lot of scientific research and as a result, it

822
00:44:44,200 --> 00:44:48,040
Speaker 2: causes research and other language to languages to not get

823
00:44:48,080 --> 00:44:51,200
Speaker 2: as much attention as maybe it could be. Or also,

824
00:44:51,239 --> 00:44:53,320
Speaker 2: other people have pointed out that It's like, if everyone

825
00:44:53,400 --> 00:44:57,600
Speaker 2: thinks in the same language, certain mistakes can happen because

826
00:44:57,640 --> 00:45:00,520
Speaker 2: you're using everyone's sort of using the same language linguistic

827
00:45:00,640 --> 00:45:03,120
Speaker 2: pathways to arrive at a solution where it's like varied

828
00:45:03,680 --> 00:45:06,520
Speaker 2: forms of languages have different sort of pathways to solve

829
00:45:06,560 --> 00:45:09,000
Speaker 2: a problem just based on how the language is structured.

830
00:45:09,400 --> 00:45:12,760
Speaker 2: I wonder too, if, like with the proliferation of people

831
00:45:12,920 --> 00:45:15,640
Speaker 2: using AI more and more, if that is just now

832
00:45:15,640 --> 00:45:20,000
Speaker 2: another layer of vulnerability where there's like a version where

833
00:45:20,040 --> 00:45:23,800
Speaker 2: people aren't giving it the same kind of vetting or

834
00:45:23,840 --> 00:45:26,360
Speaker 2: analysis as they would because they're presuming it to be

835
00:45:26,400 --> 00:45:27,240
Speaker 2: completely correct.

836
00:45:27,280 --> 00:45:29,440
Speaker 1: And then does that lead to some kind of what

837
00:45:29,560 --> 00:45:31,520
Speaker 1: is this going to do for? Yeah, what is this

838
00:45:31,600 --> 00:45:33,839
Speaker 1: going to do for like outside the box thinking? When

839
00:45:33,840 --> 00:45:35,920
Speaker 1: you have a thing doing your thinking for you that

840
00:45:36,040 --> 00:45:40,120
Speaker 1: is just drawing on all previous thoughts and remixing it.

841
00:45:40,120 --> 00:45:42,759
Speaker 1: It's like, yes, we're not going to have a lot

842
00:45:42,760 --> 00:45:46,560
Speaker 1: of cool new ideas coming through. Yeah, yeah, for sure.

843
00:45:46,560 --> 00:45:49,280
Speaker 3: And you know for sure, like scientists definitely talk about,

844
00:45:49,520 --> 00:45:52,640
Speaker 3: you know, having a common language. You know you kind

845
00:45:52,640 --> 00:45:54,840
Speaker 3: of need that in order to exchange ideas about sciences.

846
00:45:54,920 --> 00:45:57,600
Speaker 3: Kind of hard to do it through translator, so that

847
00:45:57,680 --> 00:46:00,440
Speaker 3: a little bit of that is inevitable. But you know,

848
00:46:00,440 --> 00:46:02,680
Speaker 3: I always take comfort in the fact that if you

849
00:46:02,719 --> 00:46:06,160
Speaker 3: ever talk to a scientist or any scientists, their dream

850
00:46:06,440 --> 00:46:10,480
Speaker 3: is to be like the one person who's contrariant who turns.

851
00:46:10,200 --> 00:46:12,600
Speaker 1: Out to be right, you know, to be the person

852
00:46:12,640 --> 00:46:16,719
Speaker 1: who's revolutionary, the big short of science, the scientific Yeah. Yeah,

853
00:46:16,760 --> 00:46:19,520
Speaker 1: everyone wants to be the person who up ends the field,

854
00:46:19,600 --> 00:46:21,480
Speaker 1: or everyone wants to be the person who proves everyone right.

855
00:46:21,600 --> 00:46:24,520
Speaker 1: So my feeling is like, hopefully and this will continue,

856
00:46:24,680 --> 00:46:26,439
Speaker 1: is that science is kind of set up so that,

857
00:46:26,680 --> 00:46:29,959
Speaker 1: you know, people are always questioning the assumptions that aren't

858
00:46:29,960 --> 00:46:32,480
Speaker 1: being made and the results that are being come out.

859
00:46:33,200 --> 00:46:35,800
Speaker 1: So that's my hope in the parents that that continues.

860
00:46:36,280 --> 00:46:40,040
Speaker 1: You're doing that from China, they will not be doing

861
00:46:40,120 --> 00:46:42,440
Speaker 1: it from the United States. Well, yeah, and I think

862
00:46:42,480 --> 00:46:42,960
Speaker 1: that also.

863
00:46:43,400 --> 00:46:45,440
Speaker 2: I definitely agree with that because I feel like the

864
00:46:45,480 --> 00:46:47,960
Speaker 2: people that have been most vocal about questioning AI have

865
00:46:48,120 --> 00:46:52,399
Speaker 2: been scientists and researchers because they're also just sort of like, well,

866
00:46:52,520 --> 00:46:56,400
Speaker 2: it does these things, fine, let's really talk about everything,

867
00:46:56,760 --> 00:46:59,520
Speaker 2: and yeah, I guess I never think about like yeah

868
00:46:59,600 --> 00:47:02,680
Speaker 2: much in this saying yeah, people want like, that's that's

869
00:47:02,719 --> 00:47:05,200
Speaker 2: the high you would chase as a researcher or a scientist.

870
00:47:05,239 --> 00:47:07,120
Speaker 2: It's like, do you fucking overlook this?

871
00:47:10,080 --> 00:47:10,319
Speaker 1: Yeah?

872
00:47:10,440 --> 00:47:12,880
Speaker 2: Right, right, right, so yeah, maybe we do have something

873
00:47:12,920 --> 00:47:14,879
Speaker 2: in built there and the sciences that will help.

874
00:47:15,080 --> 00:47:17,160
Speaker 1: How annoying scientists are?

875
00:47:17,360 --> 00:47:21,760
Speaker 3: Yeah, people say there's three kinds of scientists. The scientist

876
00:47:21,840 --> 00:47:26,360
Speaker 3: who first poses a question, and the scientist who answers

877
00:47:26,400 --> 00:47:29,920
Speaker 3: the question, and then everyone in between, who nobody ever remembers.

878
00:47:30,239 --> 00:47:32,360
Speaker 1: Right, damn, damn.

879
00:47:33,800 --> 00:47:37,359
Speaker 2: Now watch we peel this banana from the tip end.

880
00:47:37,520 --> 00:47:40,000
Speaker 2: Have you seen somebody open a banana from the tip end?

881
00:47:40,120 --> 00:47:44,239
Speaker 1: Yeah? Yeah, I've been the person who thought that was

882
00:47:44,320 --> 00:47:45,920
Speaker 1: that's the way to do it, the better way to

883
00:47:45,960 --> 00:47:49,359
Speaker 1: do it, that's the way to do it. It's actually easier. Yeah, well,

884
00:47:49,400 --> 00:47:51,640
Speaker 1: there's there is a trade of but we can't get

885
00:47:51,640 --> 00:47:52,000
Speaker 1: into it.

886
00:47:52,200 --> 00:47:54,120
Speaker 2: Wait, hold on, no, and I need to know because

887
00:47:54,120 --> 00:47:56,719
Speaker 2: we're just talking about contrarians. And I saw somebody's like, yeah,

888
00:47:56,800 --> 00:47:58,279
Speaker 2: let me open this banana for your kid. I said,

889
00:47:58,320 --> 00:47:59,600
Speaker 2: what the fuck are you doing it?

890
00:47:59,600 --> 00:48:03,120
Speaker 3: From that in front there's a banana, right, there's the

891
00:48:03,160 --> 00:48:06,160
Speaker 3: part that stems that conneice to the rest of the planet.

892
00:48:06,680 --> 00:48:08,680
Speaker 3: That that's not the tail, right that you would call

893
00:48:08,760 --> 00:48:11,600
Speaker 3: the other end the tail where it ends.

894
00:48:10,760 --> 00:48:16,480
Speaker 2: They oh wait, I'm calling it from the stem. I

895
00:48:16,520 --> 00:48:17,680
Speaker 2: open it from the stem end.

896
00:48:17,920 --> 00:48:20,640
Speaker 3: Yeah right, Yeah, that's how I've always done it. But

897
00:48:20,719 --> 00:48:23,960
Speaker 3: recently I got shown that trick too of opening it

898
00:48:24,120 --> 00:48:27,800
Speaker 3: from the tip end. And it is easier, especially if

899
00:48:28,000 --> 00:48:30,120
Speaker 3: the banana is not quite ripe, like if it's a

900
00:48:30,120 --> 00:48:32,080
Speaker 3: little green and it's it's kind of hard to open

901
00:48:32,080 --> 00:48:33,960
Speaker 3: it from the step in. Then it's a lot easier

902
00:48:33,960 --> 00:48:36,719
Speaker 3: to just squeeze the tip. Uh, and then then it

903
00:48:36,880 --> 00:48:37,920
Speaker 3: just kind of opens up.

904
00:48:38,200 --> 00:48:41,359
Speaker 1: Oh so it changed me when I saw and we're

905
00:48:41,520 --> 00:48:43,959
Speaker 1: about to bring us to our next subject after the break,

906
00:48:44,280 --> 00:48:46,279
Speaker 1: we're seeing a gorilla open a banana where they just

907
00:48:46,320 --> 00:48:48,239
Speaker 1: break it, snap it in half, and then just like

908
00:48:48,320 --> 00:48:51,960
Speaker 1: kind of shoot it out. That might be easier, yet

909
00:48:52,000 --> 00:48:55,520
Speaker 1: you're grilla. They half. Yeah, you break it and they

910
00:48:55,600 --> 00:48:58,440
Speaker 1: break pretty easy. I highly recommend it. It's a great feeling.

911
00:48:58,680 --> 00:48:59,080
Speaker 1: I've broke.

912
00:48:59,239 --> 00:49:01,880
Speaker 2: I nearly broke my hands trying to break it.

913
00:49:02,440 --> 00:49:06,080
Speaker 1: Oh no, I'm telling you the Miles, you're not in

914
00:49:06,080 --> 00:49:11,719
Speaker 1: my one hundred banana. Like Miles hooped the banana. We

915
00:49:11,760 --> 00:49:17,839
Speaker 1: need that in a distraction. Let's take a quick break.

916
00:49:17,920 --> 00:49:20,880
Speaker 1: We'll come back and talk about the most important scientific

917
00:49:20,960 --> 00:49:34,120
Speaker 1: question of the day. We'll be right back, and we're back.

918
00:49:34,480 --> 00:49:37,600
Speaker 1: We're back, all right, Warhead. Here it is. We've been

919
00:49:37,640 --> 00:49:40,680
Speaker 1: We've been debating this one all last week of the

920
00:49:40,680 --> 00:49:43,440
Speaker 1: internet has been to be debating it. Curious to hear

921
00:49:43,480 --> 00:49:46,560
Speaker 1: your thoughts. Where do you fall one hundred men versus

922
00:49:46,560 --> 00:49:50,960
Speaker 1: one gorilla? Fight to the death? I guess is the terms?

923
00:49:51,719 --> 00:49:54,480
Speaker 3: Yeah, yeah, well I definitely have opinions because my kids

924
00:49:54,480 --> 00:49:57,400
Speaker 3: have asked me this question. Yeah, definitely, the whole internet

925
00:49:57,480 --> 00:50:00,000
Speaker 3: is talking about it. I think it's an interesting question

926
00:50:00,239 --> 00:50:02,600
Speaker 3: just because there are so many ifs about it, you know, right,

927
00:50:03,120 --> 00:50:05,320
Speaker 3: like so many if questions, like it tip the scale

928
00:50:05,960 --> 00:50:08,760
Speaker 3: towards the gorilla or towards the human, and so it's

929
00:50:08,800 --> 00:50:12,520
Speaker 3: like this endless source of opinions about what might or

930
00:50:12,600 --> 00:50:15,359
Speaker 3: might not happen. Yeah, Like does the gorilla fight each

931
00:50:15,680 --> 00:50:19,000
Speaker 3: human one by one? Does it have territorial advantage? Like

932
00:50:19,080 --> 00:50:21,239
Speaker 3: is it at the top of a hill or at

933
00:50:21,280 --> 00:50:24,040
Speaker 3: the end of the hallway? Can the humans communicate? Like

934
00:50:24,080 --> 00:50:27,560
Speaker 3: there's all these possibilities that you know, lend lend themselves

935
00:50:27,600 --> 00:50:29,560
Speaker 3: to people having different thoughts about it.

936
00:50:29,760 --> 00:50:32,200
Speaker 1: Yeah, and like if we're if it's on a hill,

937
00:50:33,000 --> 00:50:36,120
Speaker 1: then can't you just like pick up a rock. Can't

938
00:50:36,120 --> 00:50:37,840
Speaker 1: the humans pick up a rock? What if them like

939
00:50:38,480 --> 00:50:42,000
Speaker 1: pitched college like in college, like was a baseball pitcher

940
00:50:42,040 --> 00:50:44,759
Speaker 1: in college, Like, then that's going to really tilt the

941
00:50:44,800 --> 00:50:48,360
Speaker 1: scales in one direction or the other. Yeah, are the

942
00:50:48,440 --> 00:50:51,200
Speaker 1: one hundred people do you get to choose them? Are

943
00:50:51,200 --> 00:50:55,640
Speaker 1: they just like did they use a randomizer to select

944
00:50:55,760 --> 00:50:59,560
Speaker 1: these one hundred people and they have no preparation there? Are?

945
00:50:59,760 --> 00:51:02,399
Speaker 1: You're right, like, there's a lot of ways that can

946
00:51:02,560 --> 00:51:05,800
Speaker 1: shift it in the direction of I think the one gorilla,

947
00:51:06,040 --> 00:51:08,919
Speaker 1: like you, I could see like if it was one

948
00:51:09,000 --> 00:51:10,759
Speaker 1: hundred people and like some of them are just like

949
00:51:10,840 --> 00:51:13,359
Speaker 1: waking up and some of them, you know, like it's

950
00:51:13,400 --> 00:51:16,360
Speaker 1: just randomly at all random times of the day and

951
00:51:16,400 --> 00:51:19,399
Speaker 1: they're thrown into a thing and then told like ten

952
00:51:19,480 --> 00:51:22,240
Speaker 1: at a time, one at a time, like then right here,

953
00:51:22,320 --> 00:51:24,880
Speaker 1: you're gonna be in trouble. But so I think we

954
00:51:24,920 --> 00:51:27,400
Speaker 1: need to imagine like what is the scenario, right? Is it?

955
00:51:27,520 --> 00:51:29,239
Speaker 1: I think it most people think of it as like

956
00:51:29,360 --> 00:51:31,920
Speaker 1: an open field. You get a gorilla, you get a

957
00:51:32,040 --> 00:51:36,399
Speaker 1: hundred humans, random humans or average humans, right, pretty much

958
00:51:36,600 --> 00:51:39,560
Speaker 1: like average humans. Yeah, I think that's probably right, Like

959
00:51:39,600 --> 00:51:42,800
Speaker 1: we use a randomizer and it's just one hundred random humans.

960
00:51:43,160 --> 00:51:47,200
Speaker 1: Yeah right. I think they have to because that is

961
00:51:47,440 --> 00:51:49,280
Speaker 1: what humans do. Yeah.

962
00:51:49,400 --> 00:51:52,479
Speaker 3: Yeah, So I think if that's the scenario, I would

963
00:51:52,560 --> 00:51:57,239
Speaker 3: fall on the Carriger saying that it all depends on

964
00:51:57,239 --> 00:52:01,360
Speaker 3: one key question, which is who is more mode exactly,

965
00:52:01,640 --> 00:52:03,480
Speaker 3: Like if the gorilla doesn't really want to fight, and

966
00:52:03,520 --> 00:52:05,359
Speaker 3: then the humans are all the humans are like why

967
00:52:05,360 --> 00:52:07,120
Speaker 3: are we here? I don't know what we're supposed to

968
00:52:07,120 --> 00:52:10,800
Speaker 3: attack this gorilla, then basically no fight is going to happen, right, Yeah.

969
00:52:11,239 --> 00:52:13,200
Speaker 3: If the gorilla feels strengned and the gorilla is like

970
00:52:13,239 --> 00:52:15,560
Speaker 3: I need to I need to murder these humans, then

971
00:52:15,600 --> 00:52:18,080
Speaker 3: I think it's on you know, yeah, and I think

972
00:52:18,520 --> 00:52:20,960
Speaker 3: or the gorillas pass it, but you offer all the

973
00:52:21,000 --> 00:52:22,839
Speaker 3: one hundred humans, Hey, I'll give you a hundred million

974
00:52:22,840 --> 00:52:25,399
Speaker 3: dollars to basically take out these gorilla game style.

975
00:52:25,760 --> 00:52:29,920
Speaker 2: That game really quick game motivation.

976
00:52:30,840 --> 00:52:31,399
Speaker 1: This is the thing.

977
00:52:31,440 --> 00:52:35,080
Speaker 2: So over the weekend I was like, look, I was

978
00:52:35,120 --> 00:52:39,799
Speaker 2: reading constant articles written by primatologists about this, and a

979
00:52:40,000 --> 00:52:43,680
Speaker 2: I came run to the fact that sadly, a gorilla

980
00:52:43,719 --> 00:52:45,640
Speaker 2: would not not sad I don't know why sadly because

981
00:52:45,640 --> 00:52:49,000
Speaker 2: I've been so team gorilla will fucking destroy these hundred people.

982
00:52:49,520 --> 00:52:51,920
Speaker 2: The gorilla would lose to one hundred people was something

983
00:52:52,000 --> 00:52:55,680
Speaker 2: every primatologist was like, there's no, it's just too many people.

984
00:52:56,000 --> 00:52:56,239
Speaker 1: Yeah.

985
00:52:56,239 --> 00:52:58,719
Speaker 2: But the other part, which is what shamed me. All

986
00:52:58,719 --> 00:53:02,120
Speaker 2: the primatologists are also like, but also shame on everyone

987
00:53:02,280 --> 00:53:05,319
Speaker 2: for why are you even thinking this up? Gorillas are

988
00:53:05,400 --> 00:53:09,040
Speaker 2: some of the most gentle creatures, with the capacity for emotion,

989
00:53:09,640 --> 00:53:13,160
Speaker 2: to play gently with their children, like their partners, the

990
00:53:13,200 --> 00:53:15,920
Speaker 2: other people, like in their community, and this is just

991
00:53:15,960 --> 00:53:19,040
Speaker 2: creating a very weird image of an animal that would

992
00:53:19,040 --> 00:53:21,520
Speaker 2: a most likely just try to escape.

993
00:53:22,040 --> 00:53:23,480
Speaker 1: They were like, a lot of people are like, a.

994
00:53:23,440 --> 00:53:25,960
Speaker 2: Gorilla would not have no interest in taking on one

995
00:53:26,040 --> 00:53:29,319
Speaker 2: hundred human beings, So just by virtue of that, they're like,

996
00:53:29,680 --> 00:53:33,400
Speaker 2: the people would probably win. But there was one guy

997
00:53:33,840 --> 00:53:36,080
Speaker 2: who went on that I think is a Danlebotard show

998
00:53:36,480 --> 00:53:40,279
Speaker 2: where painted a pretty vivid picture. The guy was like,

999
00:53:40,520 --> 00:53:43,719
Speaker 2: I think you should not be entertaining this morbid thing,

1000
00:53:43,760 --> 00:53:46,080
Speaker 2: but yet again, but here I am entertaining it.

1001
00:53:46,160 --> 00:53:47,759
Speaker 1: So this is what I'm saying so.

1002
00:53:47,719 --> 00:53:49,759
Speaker 2: This one prim say was like, fuck it, you want

1003
00:53:49,760 --> 00:53:51,920
Speaker 2: an answer, this is how it would go down, And

1004
00:53:51,960 --> 00:53:54,520
Speaker 2: he said, we're both saying. The one hundred men would

1005
00:53:54,560 --> 00:53:57,520
Speaker 2: have to be quote committed, and it would have to

1006
00:53:57,600 --> 00:54:00,799
Speaker 2: go in united They said, that doesn't mean it would

1007
00:54:00,800 --> 00:54:04,400
Speaker 2: be pretty. The human salt force quote would have to

1008
00:54:04,440 --> 00:54:08,480
Speaker 2: expect severe collateral damage that could easily include death from

1009
00:54:08,520 --> 00:54:12,799
Speaker 2: broken necks, severe arterial bite wounds, massive concussions leading to

1010
00:54:12,840 --> 00:54:17,799
Speaker 2: fatal brain bleeds, and asphyxiation from other men piling on

1011
00:54:17,880 --> 00:54:20,360
Speaker 2: top of them. It could be a Kamakaze mission for

1012
00:54:20,400 --> 00:54:21,680
Speaker 2: the men closest.

1013
00:54:21,239 --> 00:54:21,920
Speaker 1: To the gorilla.

1014
00:54:22,080 --> 00:54:24,640
Speaker 2: That's why you're willing to accept this. The group should

1015
00:54:24,640 --> 00:54:27,160
Speaker 2: be able to overtake the gorilla and inflict enough blunt

1016
00:54:27,239 --> 00:54:30,479
Speaker 2: force trauma combined with severe twisting of the head and neck,

1017
00:54:30,719 --> 00:54:35,759
Speaker 2: well simultaneously afflicting severe abdominal punches that the gorilla would

1018
00:54:35,800 --> 00:54:38,719
Speaker 2: eventually succumb to either a broken neck.

1019
00:54:38,520 --> 00:54:40,640
Speaker 1: Internal or damage, or asphyxiation.

1020
00:54:40,719 --> 00:54:43,400
Speaker 2: Then I think afterwards I was like Jesus Christ.

1021
00:54:43,040 --> 00:54:47,120
Speaker 1: Okay, don't make it real. This is not as much

1022
00:54:47,120 --> 00:54:50,399
Speaker 1: fun anymore. It's like one of those things.

1023
00:54:50,440 --> 00:54:52,160
Speaker 2: Once you really dig in and it takes a sign

1024
00:54:52,200 --> 00:54:54,000
Speaker 2: to be like, okay, you really want to have your

1025
00:54:54,040 --> 00:54:57,520
Speaker 2: little fucking game like theater animation where people went.

1026
00:54:58,520 --> 00:55:00,760
Speaker 1: There, your mind is yeah, yeah, I hope.

1027
00:55:00,640 --> 00:55:03,600
Speaker 2: You're going to bite a gorilla's throat off at least

1028
00:55:03,640 --> 00:55:04,319
Speaker 2: seven of you.

1029
00:55:04,480 --> 00:55:06,080
Speaker 1: Yeah, that's what I mean. It's like it really comes

1030
00:55:06,080 --> 00:55:08,400
Speaker 1: down to the flight fight or flight response, you know,

1031
00:55:08,480 --> 00:55:10,719
Speaker 1: like if it's a life for that situation, then it's

1032
00:55:10,760 --> 00:55:14,360
Speaker 1: really one. And where my head went to as the roboticist,

1033
00:55:14,520 --> 00:55:17,040
Speaker 1: was like, this is I think it might help to

1034
00:55:17,160 --> 00:55:19,600
Speaker 1: think of this as the equivalent of like you, like

1035
00:55:19,719 --> 00:55:23,920
Speaker 1: you or me, or an average person fighting one hundred

1036
00:55:24,280 --> 00:55:29,919
Speaker 1: six graders right right for Einstein level geniuses right now,

1037
00:55:29,960 --> 00:55:32,040
Speaker 1: if this was because one hundred kids, it's a lot.

1038
00:55:32,080 --> 00:55:34,719
Speaker 1: It's like two school buses full of kids. Yeah yeah,

1039
00:55:34,920 --> 00:55:37,239
Speaker 1: And you know, if this was a normal situation, you

1040
00:55:37,280 --> 00:55:38,920
Speaker 1: might be able to scare off a few of the kids.

1041
00:55:39,080 --> 00:55:41,600
Speaker 1: But if now, let's say, let let's make the kids

1042
00:55:41,920 --> 00:55:46,520
Speaker 1: robots with like murderous programming and they're all trying to

1043
00:55:46,719 --> 00:55:49,640
Speaker 1: get you, like, do you really think you'd send a

1044
00:55:49,760 --> 00:55:55,439
Speaker 1: chance against one hundred murderous sixth grade geniuses? Right? Maybe not?

1045
00:55:56,719 --> 00:55:58,719
Speaker 1: Sup producer bay I just pointed out that there was

1046
00:55:58,800 --> 00:56:01,360
Speaker 1: a show called Are You Smarter Than a Fifth Grader?

1047
00:56:01,800 --> 00:56:05,040
Speaker 1: And the physical challenge at the end was exactly what

1048
00:56:05,080 --> 00:56:09,279
Speaker 1: you're describing, would then have to take, would have to

1049
00:56:09,320 --> 00:56:14,239
Speaker 1: take on thirty Yeah, yeah, yeah, Jeff Fox, No, I don't.

1050
00:56:14,280 --> 00:56:16,239
Speaker 1: I don't think they did that and that and we're

1051
00:56:16,280 --> 00:56:19,120
Speaker 1: now realizing that was a massive missed opportunity on their part.

1052
00:56:20,440 --> 00:56:24,880
Speaker 1: The suffocation from like the crushing is actually a really

1053
00:56:24,960 --> 00:56:29,640
Speaker 1: good point. I feel like, yeah, well, the the way

1054
00:56:29,760 --> 00:56:33,040
Speaker 1: so many people die and like those crowd deaths where

1055
00:56:33,880 --> 00:56:38,480
Speaker 1: like stamping everything, so really yeah, I know, but it's

1056
00:56:38,520 --> 00:56:41,200
Speaker 1: basically all the weight from the back of the crowd

1057
00:56:41,280 --> 00:56:43,280
Speaker 1: pushes in on the people at the front of the crowd.

1058
00:56:43,680 --> 00:56:45,839
Speaker 1: So for all, if we're assuming all one hundred people

1059
00:56:45,920 --> 00:56:49,319
Speaker 1: are going, then everybody at the front is not going

1060
00:56:49,320 --> 00:56:51,360
Speaker 1: to make it, But neither is the grilla I'm assuming.

1061
00:56:51,800 --> 00:56:56,000
Speaker 2: Yeah, I'm now just like I'm like, I've just been

1062
00:56:56,040 --> 00:56:59,000
Speaker 2: so thoroughly shamed by science. Now I'm like, this is

1063
00:56:59,040 --> 00:57:01,400
Speaker 2: obviously not even you. Well, it's it's meant to feed

1064
00:57:01,440 --> 00:57:05,560
Speaker 2: this dark darkness about our society that we can't contend with.

1065
00:57:06,320 --> 00:57:08,840
Speaker 3: And it goes back to being kids, like I volunteered

1066
00:57:08,840 --> 00:57:11,279
Speaker 3: at my daughter's school. I've read like one of the

1067
00:57:11,360 --> 00:57:13,960
Speaker 3: most popular book series that kids check out. It's like

1068
00:57:14,120 --> 00:57:18,160
Speaker 3: Shark versus Yeah, you know, octopus or shark. You know,

1069
00:57:18,360 --> 00:57:22,360
Speaker 3: gorilla versus tiger. Who's gonna win? Yeah, my kids will

1070
00:57:22,480 --> 00:57:25,640
Speaker 3: check that book out too. The Yeah, the good thing

1071
00:57:25,680 --> 00:57:28,440
Speaker 3: is it has a definitive answer that is in no

1072
00:57:28,560 --> 00:57:32,520
Speaker 3: way you know, scientific, but is very confident, like the

1073
00:57:32,600 --> 00:57:34,240
Speaker 3: shark actually wins this one.

1074
00:57:34,600 --> 00:57:37,000
Speaker 2: Remember they're like YouTube videos where people were doing like

1075
00:57:37,120 --> 00:57:41,240
Speaker 2: insect Battle Royale death matches and you're like scorpion verse

1076
00:57:41,920 --> 00:57:45,320
Speaker 2: tarantula and you're like oh shit, and all those just

1077
00:57:45,360 --> 00:57:49,080
Speaker 2: got too real and you're like, oh my god. Yeah,

1078
00:57:49,120 --> 00:57:50,640
Speaker 2: it was better when I thought of them as like

1079
00:57:50,800 --> 00:57:54,960
Speaker 2: Transformers characters. Yeah, it's like, well, the autobot defeat the

1080
00:57:55,400 --> 00:57:56,120
Speaker 2: dino con.

1081
00:57:56,240 --> 00:57:59,880
Speaker 1: I don't know my fucked up brain. Immediately, when you

1082
00:58:00,040 --> 00:58:03,080
Speaker 1: were talking about the primatologists being like the gorillas are

1083
00:58:03,120 --> 00:58:05,800
Speaker 1: really like gentle I was like, oh, they don't have

1084
00:58:05,840 --> 00:58:08,280
Speaker 1: that dog in them all, right, Grizzly bear moving moving on,

1085
00:58:08,320 --> 00:58:17,440
Speaker 1: a grizzly Bear soldier. This hypothetical question, okay, how about this? Sorry?

1086
00:58:17,600 --> 00:58:20,200
Speaker 2: Who what is the animal? That would suck up one

1087
00:58:20,240 --> 00:58:20,760
Speaker 2: hundred men.

1088
00:58:20,880 --> 00:58:25,440
Speaker 1: Oh, thank you, you know, I mean probably a hippo.

1089
00:58:25,720 --> 00:58:28,040
Speaker 1: I mean if if we're yeah, I think a hippo

1090
00:58:28,240 --> 00:58:30,640
Speaker 1: probably could do it. See now we're like pivoting hard

1091
00:58:30,680 --> 00:58:33,600
Speaker 1: is like hippo is also like the water a lot

1092
00:58:33,640 --> 00:58:36,160
Speaker 1: of the time, Like that's anything that's in water. You're

1093
00:58:36,240 --> 00:58:38,360
Speaker 1: just sending a bunch of people in the world. Yeah,

1094
00:58:38,680 --> 00:58:41,360
Speaker 1: fighting on there. I think I think I have the answer. Yes,

1095
00:58:41,480 --> 00:58:45,000
Speaker 1: as they say, the most dangerous animal is the human.

1096
00:58:45,200 --> 00:58:48,680
Speaker 1: The human being one human versus one hundred humans, were

1097
00:58:49,360 --> 00:58:53,960
Speaker 1: one human highly trained person with maybe resources might be

1098
00:58:54,000 --> 00:58:55,080
Speaker 1: the most dangerous.

1099
00:58:54,760 --> 00:59:00,880
Speaker 2: Animals and has to get a new adagn they're like,

1100
00:59:00,960 --> 00:59:03,800
Speaker 2: how about one man versus one hundred with a rifle?

1101
00:59:04,080 --> 00:59:08,520
Speaker 1: Thank you? All right, we didn't get we didn't get

1102
00:59:08,520 --> 00:59:11,960
Speaker 1: a chance to get to less important questions like our

1103
00:59:12,000 --> 00:59:15,800
Speaker 1: near death experience is real? And uh, what's it like

1104
00:59:16,120 --> 00:59:18,720
Speaker 1: to live and poop in space? So people are gonna

1105
00:59:18,760 --> 00:59:21,760
Speaker 1: have to the Near Death Experiences episode. By the way,

1106
00:59:21,800 --> 00:59:25,560
Speaker 1: I highly recommend people check it out because it's, Yeah,

1107
00:59:25,600 --> 00:59:27,920
Speaker 1: it's like all the stuff that I had heard and

1108
00:59:27,960 --> 00:59:30,000
Speaker 1: then like at a certain point been like this can't

1109
00:59:30,040 --> 00:59:34,080
Speaker 1: all be true. Like is real. Like the people across

1110
00:59:34,120 --> 00:59:39,520
Speaker 1: different cultures describe the same experience, but like because they

1111
00:59:39,560 --> 00:59:42,320
Speaker 1: have different backgrounds, they like use different words. So like

1112
00:59:42,640 --> 00:59:45,840
Speaker 1: they describe like tunnels in America, but like in cultures

1113
00:59:45,880 --> 00:59:48,920
Speaker 1: that haven't had experiences with tunnels, that'll be like caves

1114
00:59:49,040 --> 00:59:52,600
Speaker 1: or you know, pipes in some places. And that the

1115
00:59:52,720 --> 00:59:57,080
Speaker 1: experiences are very common across like a chunk of near

1116
00:59:57,160 --> 01:00:02,000
Speaker 1: death experiences and then they're really interesting. Reason for that

1117
01:00:02,000 --> 01:00:05,240
Speaker 1: that has to do with like LSD and bring chemicals.

1118
01:00:05,240 --> 01:00:08,240
Speaker 1: It is really cool. Magic mushrooms yeah, magic mushrooms. Yeah.

1119
01:00:08,440 --> 01:00:11,400
Speaker 1: So highly recommend people go check it out or hey,

1120
01:00:11,400 --> 01:00:14,320
Speaker 1: where can people find that show? Find you all that

1121
01:00:14,400 --> 01:00:17,800
Speaker 1: kod stuff? Yeah, it's an iHeartRadio show. It's called science stuff.

1122
01:00:17,880 --> 01:00:20,720
Speaker 1: That's one word, science stuff, and you can find it

1123
01:00:20,760 --> 01:00:23,520
Speaker 1: anywhere you listen to podcasts like this one. There you go,

1124
01:00:23,840 --> 01:00:27,280
Speaker 1: And is there a work of media that you've been

1125
01:00:27,520 --> 01:00:31,280
Speaker 1: enjoying or social media? I have been enjoying it a

1126
01:00:31,320 --> 01:00:35,400
Speaker 1: work of media. And this goes a little bit into

1127
01:00:35,600 --> 01:00:38,240
Speaker 1: my free will being subverted, which is that my kids

1128
01:00:38,240 --> 01:00:43,840
Speaker 1: are really into Korean culture, going back to Korea capop

1129
01:00:43,880 --> 01:00:46,840
Speaker 1: groups and so, and they use my YouTube account in

1130
01:00:46,920 --> 01:00:50,280
Speaker 1: my Spotify account, and so whenever I hop onto any

1131
01:00:50,280 --> 01:00:53,640
Speaker 1: of these platforms, I get inundated with K pop stuff

1132
01:00:53,800 --> 01:00:57,520
Speaker 1: which I've grown too late. So there's some really fun

1133
01:00:57,600 --> 01:00:59,840
Speaker 1: creative stuff going under, So check it out.

1134
01:01:00,360 --> 01:01:02,280
Speaker 2: Any artists specifically you want to shut up?

1135
01:01:03,200 --> 01:01:05,520
Speaker 1: Well, I think I think I need to consider myself

1136
01:01:05,520 --> 01:01:09,840
Speaker 1: an icon. Now, Cat's Eye fan, Okay, my son is

1137
01:01:11,120 --> 01:01:18,160
Speaker 1: straight Kids Yeah yeah, BTS Black Tank, Black Tank Huge,

1138
01:01:18,600 --> 01:01:20,560
Speaker 1: And I think that's about where my knowledge of K

1139
01:01:20,680 --> 01:01:24,240
Speaker 1: pop ends in terms of names. Amazing miles Where can

1140
01:01:24,240 --> 01:01:26,320
Speaker 1: people find you as their working media you've been enjoying?

1141
01:01:26,760 --> 01:01:30,520
Speaker 2: Oh yes, you can find me everywhere they have at Symbols,

1142
01:01:30,560 --> 01:01:34,440
Speaker 2: at Miles of Gray. You can find me lamenting the

1143
01:01:34,600 --> 01:01:37,000
Speaker 2: very hasty exit of the Lakers.

1144
01:01:38,560 --> 01:01:40,600
Speaker 1: It was painless.

1145
01:01:40,640 --> 01:01:42,800
Speaker 2: Look, someone had to go in first to fight the

1146
01:01:42,840 --> 01:01:47,120
Speaker 2: Gorilla and the Lakers. Oh that's a better mean. Who

1147
01:01:47,120 --> 01:01:50,640
Speaker 2: would win a Grizzly Bear or the Lakers depends on

1148
01:01:50,640 --> 01:01:54,880
Speaker 2: who the coach is, you know, unleash that bench, bro,

1149
01:01:55,160 --> 01:01:58,960
Speaker 2: I'm the forty year old Lebron's gonna get washed. And

1150
01:01:59,000 --> 01:02:01,240
Speaker 2: also find that's on Booty is find me talking ninety

1151
01:02:01,280 --> 01:02:05,280
Speaker 2: Dan on four to twenty Day Fiance work of media.

1152
01:02:05,520 --> 01:02:10,160
Speaker 2: I'm liking just the rehearsal, just the rehearsal that's been watched.

1153
01:02:10,200 --> 01:02:11,400
Speaker 1: Episode three was good.

1154
01:02:12,360 --> 01:02:14,720
Speaker 2: Her Majesty was out of town this weekend on a trip,

1155
01:02:14,840 --> 01:02:18,040
Speaker 2: so I sat on it because I didn't, you know,

1156
01:02:18,640 --> 01:02:21,760
Speaker 2: whenever you're watching Victor and the Chad just said bru bro.

1157
01:02:22,400 --> 01:02:24,920
Speaker 2: Also yesterday and our another group chat that we had

1158
01:02:24,920 --> 01:02:27,200
Speaker 2: with Anna Superducer Ana Jose, she was just even like,

1159
01:02:27,320 --> 01:02:29,360
Speaker 2: y'all this next episode.

1160
01:02:29,440 --> 01:02:30,760
Speaker 1: Every weekend because she's on.

1161
01:02:30,720 --> 01:02:33,520
Speaker 2: The East Coast, She's always like, guys, this next one

1162
01:02:34,040 --> 01:02:37,440
Speaker 2: fucking destroyed. It's like that's the energy she always has

1163
01:02:37,520 --> 01:02:39,400
Speaker 2: in describing this show. So anyway, check out.

1164
01:02:39,240 --> 01:02:42,160
Speaker 1: The rehearsal in the Fielder. No. You can find me

1165
01:02:42,480 --> 01:02:45,320
Speaker 1: on Twitter at jack Underscore, Brian blue Sky at jack

1166
01:02:45,360 --> 01:02:50,040
Speaker 1: Obi the number one working media I've been enjoying at

1167
01:02:50,160 --> 01:02:55,400
Speaker 1: Kyle Train Emoji tweeted Jackie Chan accidentally getting stuck inside

1168
01:02:55,440 --> 01:02:57,800
Speaker 1: a gorilla costume and then having to fight off one

1169
01:02:57,840 --> 01:03:03,280
Speaker 1: hundred guys. That's I mean, that's such a good pitch.

1170
01:03:03,640 --> 01:03:08,000
Speaker 1: That's the ultimate Jackie Chan scene. You can find us

1171
01:03:08,040 --> 01:03:10,200
Speaker 1: on Twitter and blue Sky at Daily Zeitgeist, where at

1172
01:03:10,200 --> 01:03:12,960
Speaker 1: the Daily Zeitgeist on Instagram. You can go to the

1173
01:03:13,000 --> 01:03:15,280
Speaker 1: description of this episode wherever you're listening to it, and

1174
01:03:15,320 --> 01:03:18,280
Speaker 1: there you will find the footnotes, which is where we

1175
01:03:18,360 --> 01:03:20,480
Speaker 1: link off to the information that we talked about in

1176
01:03:20,520 --> 01:03:23,080
Speaker 1: today's episode. We also link off to a song that

1177
01:03:23,120 --> 01:03:25,720
Speaker 1: we think you might enjoy. Miles, is there a song

1178
01:03:25,760 --> 01:03:27,640
Speaker 1: that you think people might enjoy?

1179
01:03:28,080 --> 01:03:33,120
Speaker 2: Yeah, there's a new track from the Baltimore based like

1180
01:03:33,280 --> 01:03:37,600
Speaker 2: hardcore punk band called Turnstyle. This new track is called

1181
01:03:37,640 --> 01:03:41,360
Speaker 2: never Enough and the guitars just like just the production,

1182
01:03:41,640 --> 01:03:44,160
Speaker 2: it's very I don't know, it feels very like nineties

1183
01:03:44,160 --> 01:03:46,760
Speaker 2: alternative in a way, like the way the guitar or

1184
01:03:46,760 --> 01:03:49,640
Speaker 2: the guitar distortion hits my brain. It's I don't know,

1185
01:03:49,720 --> 01:03:51,840
Speaker 2: like I feel like I'm listening to k Rocket, like

1186
01:03:51,920 --> 01:03:54,680
Speaker 2: ninety eight or something. But anyway, all their stuff is

1187
01:03:54,720 --> 01:03:56,760
Speaker 2: really dope. But this is one of their newest tracks

1188
01:03:56,840 --> 01:03:59,160
Speaker 2: called never Enough, by the group Turnstyle.

1189
01:03:59,640 --> 01:04:01,480
Speaker 1: Check in right. We will look off to that in

1190
01:04:01,480 --> 01:04:04,360
Speaker 1: the footnotes. The Daily Zeitgeist is a production of iHeartRadio.

1191
01:04:04,400 --> 01:04:07,160
Speaker 1: For more podcasts from iHeart Radio, visit the iHeartRadio app,

1192
01:04:07,280 --> 01:04:09,320
Speaker 1: Apple podcast, or wherever you listen to your favorite shows.

1193
01:04:09,360 --> 01:04:11,960
Speaker 1: That's going to do it for us this morning. We're

1194
01:04:12,000 --> 01:04:14,280
Speaker 1: back this afternoon to tell you what is trending, and

1195
01:04:14,320 --> 01:04:15,600
Speaker 1: we will talk to you all then.

1196
01:04:15,560 --> 01:04:19,320
Speaker 2: Bye bye by The Daily Zeitgeist is executive produced by

1197
01:04:19,360 --> 01:04:20,200
Speaker 2: Catherine Law.

1198
01:04:20,360 --> 01:04:24,320
Speaker 1: Co produced by Bee Wang, co produced by Victor Wright

1199
01:04:24,760 --> 01:04:28,680
Speaker 2: Co written by J M McNabb, Edited and engineered by

1200
01:04:28,880 --> 01:04:29,480
Speaker 2: Justin Conner,