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Transcript

A.I., Robots and Revolution · Pop Culture Junkie®

• 0:00
  ♪ Entertain me, entertain me right now ♪
• 0:03
  - Hello and welcome to the Pop Culture Junkie podcast.
• 0:07
  My name is Shauna and I am in the same room.
• 0:10
  As Olivia, she's in Phoenix again.
• 0:13
  - I mean, just for a little bit.
• 0:15
  - I know, well a week.
• 0:16
  So that's quite nice.
• 0:19
  That's great to be back.
• 0:20
  - I know, I'm so glad you're here.
• 0:22
  - I keep timing all of my visits,
• 0:24
  two minutes over a hundred degrees,
• 0:26
  so poor judgment on my part.
• 0:29
  Like even when I came here in March,
• 0:30
  it was like a hundred that weekend.
• 0:33
  - That's so true.
• 0:33
  It went through this weird time in March
• 0:37
  where it was really hot in Arizona.
• 0:39
  And then we experienced some spring.
• 0:41
  But you just bring the hotness with you.
• 0:43
  - Yeah, I'm just so hot.
• 0:44
  I'm bringing that.
• 0:46
  Your hair is so long and black.
• 0:48
  - Thank you.
• 0:49
  Yes, I have been blessed by not being blonde anymore.
• 0:54
  And my hair is quite long.
• 0:55
  - That may be me.
• 0:56
  - Keep it.
• 0:57
  - I think the biggest picture of me is a blonde
• 0:59
  and go, I think I need it again.
• 1:00
  - When I first met you, you were like a platinum blonde.
• 1:03
  - What do you think is better?
• 1:05
  - I like the black hair on you.
• 1:06
  I think because of your skin tone,
• 1:08
  like it looks works better with you.
• 1:10
  And I liked the chocolate brown on you too.
• 1:12
  - Well, color was my hair when you met me.
• 1:14
  - Black.
• 1:15
  - It was black?
• 1:16
  - Yeah, I guess it's been black for a minute.
• 1:17
  - The bangs have just been getting shorter and shorter.
• 1:19
  - That's true.
• 1:20
  And now they're a little green.
• 1:21
  - Yeah, yeah.
• 1:22
  - But it looks amazing.
• 1:23
  My shiko queen.
• 1:25
  - Thank you.
• 1:25
  - I have been getting a lot of shiko comments on my bangs,
• 1:28
  which is what I was going for, but I'll allow it.
• 1:30
  - I think it was.
• 1:31
  - If you listen to our episode of cartoon characters
• 1:36
  that have no business being that hot,
• 1:38
  shiko is like number one, just by definition.
• 1:42
  - Yeah, triangle boobs.
• 1:44
  - Yeah. - Great.
• 1:45
  - No notes.
• 1:46
  - Triangle boobs.
• 1:47
  - Yeah, she's got the animated triangle boobs.
• 1:49
  - So like a Madonna and so.
• 1:51
  - Yeah.
• 1:52
  - She got a lower cross triangle boob.
• 1:54
  - Okay, I think they're like a rounded triangle.
• 1:56
  What is that?
• 1:57
  - Are they around a triangle?
• 1:58
  Somebody pull up a picture of shiko's breasts right now.
• 2:01
  - What is that?
• 2:01
  (laughing)
• 2:03
  - So what have you been up to in this haunted
• 2:06
  hellscape of a land?
• 2:07
  - Oh God, working a lot.
• 2:09
  I keep just stumbling upon side jobs.
• 2:14
  They just keep falling in my life.
• 2:15
  - How many do you have now?
• 2:16
  - I am helping out with two democratic campaigns
• 2:20
  right now in Arizona.
• 2:22
  Thank you, thank you.
• 2:22
  No, I ticked that back.
• 2:23
  One is a Democrat.
• 2:24
  One is a bipartisan campaign for protecting
• 2:28
  mail-in ballots in Arizona.
• 2:31
  - Okay.
• 2:31
  - So anybody can vote yes for that.
• 2:33
  - Yeah, hopefully.
• 2:34
  - Yeah, yeah.
• 2:35
  - Oh, boob.
• 2:36
  - Yeah, just been working, swimming.
• 2:39
  My three cats are just fucking Grimmlins.
• 2:42
  - Oh, how update for the people,
• 2:44
  how are they getting along?
• 2:45
  - Oh, not at all.
• 2:46
  - Not at all.
• 2:47
  (laughing)
• 2:48
  - Not in this one.
• 2:49
  - Let's toast, Jenna.
• 2:50
  - Oh.
• 2:51
  - Tost.
• 2:52
  - Okay, Tost is eating.
• 2:53
  She's not on her hunger strike anymore.
• 2:55
  We took her to the vet and she had to have two teeth removed.
• 2:58
  And after that, she's dramatic of her.
• 3:00
  - It was super fucking dramatic.
• 3:02
  Like really bitch.
• 3:03
  - You need your teeth removed because you're upset.
• 3:06
  - Told us that when cats get sick or hurt,
• 3:09
  the first thing that they'll do is stop eating.
• 3:12
  They'll just stop eating.
• 3:12
  - Okay.
• 3:13
  - That has never occurred to me.
• 3:16
  - Sometimes, wish I had that.
• 3:18
  - I wish I had the opposite of that.
• 3:19
  - I wish I had the opposite of that.
• 3:21
  - I'm stressed out.
• 3:22
  I want to eat more cats or like the slightest bit of vending.
• 3:25
  And they're like, well, what if I just stopped eating
• 3:27
  and passed away?
• 3:28
  - What if I just die?
• 3:29
  - What if I just die?
• 3:30
  - What if I just die?
• 3:31
  - What?
• 3:32
  - What beautiful queens.
• 3:33
  - I saw some teeth removed.
• 3:35
  She lives in the bedroom in the kittens live in Andrew's office.
• 3:41
  - Oh, they still have separate rooms.
• 3:43
  - They still have separate rooms.
• 3:44
  And we still have like a cat rotation.
• 3:46
  Andrew went out of town for like a week last month.
• 3:50
  And I said, screw it.
• 3:52
  What's the worst that could happen?
• 3:55
  And I let them all just kind of lose.
• 3:57
  And I was just watching my TV shows.
• 3:59
  And it was fine for a second.
• 4:01
  And then I just heard like,
• 4:01
  (laughing)
• 4:04
  Are you like over there?
• 4:05
  She's like a ball of bodies.
• 4:07
  She's rolling down the hallway.
• 4:08
  - Is it a tumbleweed of cats?
• 4:10
  (laughing)
• 4:11
  Was it the two little ones against shows?
• 4:13
  - No, it was Toys versus Pewter.
• 4:15
  Out of Sittians, she's like,
• 4:17
  I don't want anything to do with this.
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  - Not that for her.
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  And Pewter's so fluffy,
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  that like little tubs in his hair,
• 4:24
  like in someone peed.
• 4:26
  - Okay. - Someone peed during this tuzzle.
• 4:28
  So I had to go and like get a towel
• 4:30
  and throw it over Pewter to like stop him,
• 4:32
  like separate them,
• 4:33
  and then clean up P and Furn.
• 4:36
  - Okay, I, so.
• 4:37
  - Is Toast a male?
• 4:39
  - Toast is a girl.
• 4:40
  - Okay.
• 4:41
  - Is Pewter a male?
• 4:42
  - Pewter's a male.
• 4:43
  - I think Toast is just never really met another cat.
• 4:46
  (laughing)
• 4:48
  - I think it's an, I mean, I'm one of one.
• 4:50
  - Yeah, she's like, you were not buffy.
• 4:51
  - You were not that weird dog that was here
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  that I got to attack, because she was blind.
• 4:56
  - Okay. - Yeah, so.
• 4:58
  - My sense.
• 4:58
  - That is my life as wrangling cats,
• 5:00
  protecting democracy.
• 5:03
  I'm getting in the pool sometime.
• 5:05
  - No, no.
• 5:06
  That sounds absolutely amazing.
• 5:08
  - What about you? - My life.
• 5:10
  - My life is great.
• 5:11
  I don't know if I talked about this last time.
• 5:13
  I got Ziggy a dog backpack.
• 5:15
  So my life has consisted of putting Ziggy in the dog backpack
• 5:19
  and riding bikes.
• 5:21
  - I'm like such a stereotypical tech bro.
• 5:24
  I'm getting on an e-bike.
• 5:26
  I have my dog in a backpack.
• 5:27
  - Please tell me a fasting cryptocurrency.
• 5:29
  - I swear to God.
• 5:30
  - No, I'm not there yet, but give it another year.
• 5:34
  - Oh my God.
• 5:35
  - You know, I think it's like a two year induction phase.
• 5:37
  - Such a fucking hipster, dude.
• 5:40
  - I have gotten the gay bug.
• 5:42
  I mean, I was already gay by that point,
• 5:44
  but I'm happy pride.
• 5:46
  - Yeah, happy pride.
• 5:47
  - I'm proud from your bisexual besties.
• 5:49
  - But as Shana said previously,
• 5:51
  I'm just going to do a lot of gay events.
• 5:53
  Speaking of gay events,
• 5:54
  Shana is coming to visit me for pride in San Francisco.
• 5:58
  - I am so excited.
• 6:00
  - I am so excited.
• 6:01
  I got the cutest skirt from Deepop.
• 6:04
  - Okay.
• 6:04
  - And it's by Jaded London.
• 6:06
  So I think it was originally like,
• 6:08
  at least $100 or so.
• 6:10
  - Okay, it was well appreciated.
• 6:11
  - This is gonna shock you what pattern is on it.
• 6:14
  - It's flame print.
• 6:15
  - Is that a rainbow flame?
• 6:16
  - No, it's just a flame.
• 6:17
  - I just own a lot of flame print clothes.
• 6:19
  (laughing)
• 6:20
  - I'm like a slutty guy, Fury.
• 6:22
  - Yeah, she really is.
• 6:24
  - So it's a flame print,
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  and then I have this cute tube top
• 6:27
  that says fuck ice on it, but it's bedazzled.
• 6:30
  - Okay.
• 6:31
  - So I think I might combine the tube top
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  with the flame skirt.
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  And then I have that flame jacket.
• 6:38
  - She's on fire.
• 6:39
  - Burn down the system.
• 6:41
  - Yeah, there you go.
• 6:42
  - Perfect for San Francisco.
• 6:44
  - Yeah, I'm really excited for my knowledge.
• 6:45
  - I am too.
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  It was like 6 a.m.
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  And I just texted Shauna and our group chat
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  and was like pride San Francisco?
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  Really no better place to be.
• 6:55
  - I know, I've never been to San Francisco Pride.
• 6:58
  I've been to Phoenix Pride, but we don't do it in June.
• 7:01
  - Yeah, I'm trying to be bad for that reason alone.
• 7:03
  - Yeah, well we do it in October and it's fun,
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  but we can't do it in June,
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  'cause it's 110 degrees and all the games we've done.
• 7:12
  - Yeah.
• 7:13
  - We don't want that.
• 7:14
  So we need to do it in October and around.
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  - Yeah, we wanna keep them around a little bit.
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  If they all died, we could replace everyone with robots.
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  - Gay robots.
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  - Gay robots.
• 7:24
  - Now we're talking.
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  - That was the worst segment.
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  (laughing)
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  If robots were gay, I might be more--
• 7:31
  - Right, that's how I'm doing.
• 7:32
  - Right, that's how I'm doing.
• 7:33
  (laughing)
• 7:34
  That always reminds me of Haley the Brave.
• 7:36
  - Okay.
• 7:37
  - We would make that joke like 15 times a podcast.
• 7:41
  - Right, that's how I'm, right, that's how I'm.
• 7:43
  - Hey, Haley.
• 7:44
  - Okay, so yes, if that segue wasn't good,
• 7:48
  then I'm sorry, but today we are gonna be talking about robots
• 7:52
  and AI.
• 7:53
  Robots and artificial intelligence are hot topics right now,
• 7:57
  whether it's so-called AI actresses taking over Hollywood,
• 8:01
  large language models, stealing our creative endeavors,
• 8:04
  or how stupid we are all getting.
• 8:07
  Now that AI programs have two summarized emails for us,
• 8:11
  we thought it would be the perfect time for a Libyan eye
• 8:14
  to look at some famous pop culture robots
• 8:17
  that want to help us, kill us, sleep with us,
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  or all of the above.
• 8:21
  - Be gay with us.
• 8:23
  - Be gay with us.
• 8:23
  (laughing)
• 8:24
  - Yeah, so this has actually been one of my special interests.
• 8:29
  So as you guys know, I live in San Francisco now,
• 8:33
  and I have really been just amazed.
• 8:37
  Like if you drive into San Francisco,
• 8:40
  like every single billboard there is like AI agents
• 8:45
  all around this AI agent like BOOM.
• 8:49
  And frankly, I think a lot of them are in a sort of like
• 8:53
  AI psychosis.
• 8:55
  And of course San Francisco is the tech bubble of,
• 8:58
  you know, the United States.
• 8:59
  - So on-going.
• 9:00
  - And there is so much hype around both open AI and Claude.
• 9:06
  And what I find really, really interesting recently
• 9:10
  is a lot of the original creators of both machine learning
• 9:15
  and artificial intelligence from the 80s, 90s, 2000s
• 9:19
  have recently come out as whistle blowers.
• 9:22
  - So interesting to me.
• 9:24
  She started to tell me about this, right?
• 9:26
  But we were like hanging out at a bar before this.
• 9:28
  And she's like, "No, this is me.
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  I've been in a bubble."
• 9:31
  - No. (laughing)
• 9:32
  - Okay, so I'm like, "I'm very surrounded by the world."
• 9:36
  And I find it quite interesting.
• 9:37
  So a lot of the original creators of this technology
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  have started to whistle blow.
• 9:43
  But one of the most interesting things that I think
• 9:46
  and what's such an interesting point in time
• 9:50
  for us to talk about this is Sam Altman has been quoted
• 9:54
  to say that he believes AI will probably most likely
• 9:59
  lead to the end of the world.
• 10:01
  But in the meantime, there will be great companies
• 10:03
  with serious machine learning.
• 10:06
  - Such a stupid quote.
• 10:08
  - Yeah. - It's gonna kill us all.
• 10:09
  But in the meantime, it's gonna be sick.
• 10:12
  It's gonna be sick.
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  And Sam Altman is the CEO of Open AI.
• 10:17
  - And-- - And--
• 10:17
  - And Chatt GBT.
• 10:18
  - Chatt GBT, yeah.
• 10:19
  And he has been enthralled in a lot of controversy.
• 10:22
  I mean, he's actually been the target
• 10:24
  of a lot of Luigi Mangione's lately.
• 10:27
  I mean, he has had two attempts on his life
• 10:30
  within San Francisco.
• 10:31
  - I did not know that.
• 10:33
  And what has been quite interesting
• 10:36
  about the downfall of Sam Altman,
• 10:38
  he was actually fired at one point from Open AI.
• 10:42
  And there was a bit of like an overtaking of Open AI.
• 10:46
  Elon actually just lost his case
• 10:49
  to remove Sam Altman as the CEO of Open AI.
• 10:54
  - So Elon was trying to--
• 10:55
  - Elon was the original investor in Open AI.
• 10:59
  Open AI was started as a nonprofit.
• 11:02
  Open AI had a engineer there named Darmio Amade.
• 11:06
  He has since left and started what we know
• 11:10
  as an anthropic and clot.
• 11:11
  - That's right.
• 11:12
  And I did read that Elon has been saying that he thought
• 11:15
  that Open AI--
• 11:17
  - He was the first investor.
• 11:18
  - Yes, they became a core profit company.
• 11:21
  - And that he thought that they were gonna help society.
• 11:23
  And now he thinks they're getting more arms.
• 11:25
  - I don't know how true that is.
• 11:28
  I mean, I know how true that is.
• 11:29
  I don't know how pure Elon's--
• 11:31
  - Yes.
• 11:32
  - Intentions are there because he's doing things
• 11:34
  that are not exactly helping the world either.
• 11:37
  - Exactly.
• 11:38
  So the real like rift between Elon, Dario and Sam Altman
• 11:43
  was within Chatchy PT deciding that they needed
• 11:46
  to go for a profit.
• 11:47
  So Open AI was founded with the mission of Safe AI.
• 11:52
  What is that, right?
• 11:53
  Whenever they decided to go for a profit,
• 11:56
  it wasn't that they just made that decision.
• 11:58
  It was that they did not make Elon Musk the CEO
• 12:02
  and they went with Sam Altman today.
• 12:03
  And Thropic and Claude was founded as the ethical AI.
• 12:07
  - I've heard that before.
• 12:08
  The AI or that Claude is like the more ethical version of it
• 12:12
  and it's not as bad for the environment or I don't know.
• 12:15
  - So they actually announced today
• 12:17
  that they're preparing for an IPO.
• 12:19
  But what's so interesting about Dario is he has said
• 12:22
  that he believes that there is a 10 to 25% chance
• 12:28
  that AI and artificial intelligence
• 12:31
  will be the end of humanity.
• 12:33
  - So they both agree.
• 12:34
  - They both agree.
• 12:35
  - Dario and Sam all of them both say
• 12:36
  that this is gonna end humanity
• 12:38
  and be the end of the world.
• 12:39
  - The creators of the two leading AI products
• 12:42
  have publicly said this and think about this, right?
• 12:45
  So 25% chance is would you play Russian Roulette today
• 12:50
  with the rest of humanity?
• 12:53
  Even if it was a 1% chance,
• 12:56
  which by the way, we hold nuclear technology
• 12:59
  to a 1 and 1 millionth chance of ending humanity.
• 13:04
  - Not even that of a nuclear plant failure.
• 13:07
  - Okay.
• 13:08
  - And so think about that.
• 13:09
  - And this is a 1 and 4 chance.
• 13:11
  - Yeah, 1 and 4 chance.
• 13:13
  - So we're playing Russian Roulette today.
• 13:15
  - And imagine people just using this every single day.
• 13:18
  Like I'm not here to just shit on anybody
• 13:21
  who uses chat GBT or Claude
• 13:23
  and say that I'm better than everyone else.
• 13:24
  Like I've used chat GBT before.
• 13:26
  - Absolutely.
• 13:27
  - I've used a lot before.
• 13:28
  But just we see all of this on Facebook
• 13:31
  and people making AI images of themselves
• 13:33
  and it's all just collecting all of our data
• 13:37
  speaking of these cutesy little images.
• 13:39
  And this isn't even to mention how much water that it's using,
• 13:43
  how it impacts the environment,
• 13:45
  how much data centers being built
• 13:47
  in different communities are impacting the water supply.
• 13:50
  So I mean, that really contributes
• 13:53
  to the downfall of humanity too.
• 13:55
  - Yeah, and it's been super interesting, right?
• 13:57
  So you have a lot of these engineers
• 14:00
  who are responsible for like insane engineer of feats, right?
• 14:04
  To develop this technology is insane.
• 14:08
  And they have actually come out in support of AI legislation
• 14:12
  and concerns about the capabilities
• 14:14
  that we are giving to this technology without--
• 14:16
  - This is what the whistleblowers says.
• 14:17
  - Yes, yeah.
• 14:18
  And so they are,
• 14:20
  ex-Google engineers, like CIOs, things like that across the board
• 14:24
  and they've all called for regulation and things like that.
• 14:29
  But because I have been so invested in that topic
• 14:34
  and what are we doing within humanity?
• 14:36
  Like are we stopping and asking why?
• 14:38
  I found myself watching an insane amount
• 14:42
  of robot videos of AI taking over.
• 14:47
  And so I think that we wanted to talk about it.
• 14:49
  I mean, do you want to kind of read what Elon has had his vision
• 14:52
  as-- - The Elon quotes here.
• 14:54
  So Elon Musk, the CEO of Tesla, SpaceX, X.
• 14:59
  - Yeah.
• 15:00
  - Did I cover all of it?
• 15:01
  - What's going to happen is robots will be able
• 15:03
  to do everything better than us.
• 15:05
  Yeah, I'm not sure exactly what to do about this.
• 15:08
  This is really the scariest problem to me.
• 15:10
  I'll tell you, speaking to the National Governors
• 15:13
  of Association, he also said,
• 15:16
  "My prediction is that by 2040,
• 15:18
  they will probably be more humanoid robots
• 15:21
  than there are people."
• 15:23
  That's horrifying.
• 15:25
  - It's actually insane.
• 15:27
  - That's what my 14-year robot world--
• 15:29
  - 14-year robot world.
• 15:30
  - Yeah.
• 15:31
  - Yeah.
• 15:32
  - I don't-- do you believe that?
• 15:32
  And then X-14, I mean, what's the human population
• 15:35
  of the world right now?
• 15:36
  - Oh my God.
• 15:37
  - That's a crazy question.
• 15:39
  - A lot.
• 15:40
  - A lot.
• 15:41
  - Olivia.
• 15:42
  - It's billion.
• 15:44
  More than eight billion people.
• 15:45
  - Do you believe it is an 18 billion?
• 15:47
  - Eight billion.
• 15:48
  - Okay, so--
• 15:49
  - A humanoid robot's in 14 years.
• 15:50
  - For the package that he just accepted,
• 15:53
  he is a potential if he meets this quota
• 15:56
  of one million humanoid robots by 2030.
• 16:00
  He will stand to make close to a billion dollars.
• 16:03
  - They did say that he is on track
• 16:04
  to be the world's first trillionaires.
• 16:06
  - Yes.
• 16:07
  - Through that, right?
• 16:08
  And so-- - Bunkers.
• 16:09
  - He is deeply incentivized
• 16:12
  to make that a reality.
• 16:14
  I mean, I don't know if you've seen the actual,
• 16:17
  like a demonstration of these robots.
• 16:19
  - What it was like doing like the Michael Jackson is.
• 16:22
  - That's actually a China robot.
• 16:26
  But Tesla has done like presentations
• 16:29
  of what they would see or what they think
• 16:32
  that they would look like.
• 16:33
  And yeah, I mean, they're not far off truly.
• 16:37
  And the way that these models are getting better
• 16:40
  and better and more capable,
• 16:43
  it is quite interesting.
• 16:44
  Like I've seen, again, I mean, San Francisco.
• 16:47
  So a lot of these pilots and things happen
• 16:50
  where you can get your home cleaned for free.
• 16:52
  - I did see that that you can get your home cleaned by a robot.
• 16:55
  There is still somebody--
• 16:56
  - Well, so kind of controlling it from behind the scenes.
• 17:00
  - Right now, today. - Yeah, right now.
• 17:01
  - It's like Philippines workers.
• 17:03
  - Yeah.
• 17:04
  - So even today, like in San Francisco,
• 17:06
  someone like a real person will come to your house
• 17:09
  and they will have a camera on their head.
• 17:11
  And it will fill, they'll wear like the sensor gloves
• 17:15
  so that the robot starts to learn--
• 17:17
  - So they can train how a real human would clean.
• 17:19
  - And so right now, we are still very much training
• 17:23
  these models on how to do specific tasks.
• 17:26
  - But once they learn enough, like I remember when AI first,
• 17:31
  do you remember years ago that video of Will Smith
• 17:33
  eating a bowl of spaghetti?
• 17:35
  - Yes. - Went out online
• 17:36
  and it was so weird and distorted
• 17:39
  and just like millions of fingers.
• 17:41
  And now if that's created, it's getting harder
• 17:44
  and harder to tell the difference.
• 17:46
  I like to think that I'm pretty savvy
• 17:48
  when it comes to those things and spotting it.
• 17:51
  But every once in a while, I'll watch something
• 17:53
  and I'm like, "Muay."
• 17:56
  And I find myself zooming in on the background
• 17:58
  and be like, "That dog was a little too clever."
• 18:01
  - Yeah. - Now baby moved away,
• 18:02
  a baby shouldn't move, right?
• 18:05
  And this is all just to get views
• 18:07
  and clicks and streams and revenue.
• 18:10
  And it's getting harder to distinguish.
• 18:13
  We did an entire episode about like an AI actress.
• 18:16
  - Yes, totally no or one.
• 18:17
  - Yeah, and I mean, I don't think her career didn't take off,
• 18:21
  but there are AI characters, like people who have passed away.
• 18:26
  - I mean, if you watched- - If you watched you for "Yeah,"
• 18:30
  there was no way in how Sam Levinson did not use
• 18:34
  Shatchy PT on that script.
• 18:36
  - Oh my gosh, I heard that the finale was so bad.
• 18:39
  It's so bad. I think that not just in pop culture,
• 18:43
  it really is kind of this pivotal moment
• 18:47
  within our society.
• 18:48
  Like I think if you were looking at the evolution
• 18:51
  of humanity right now is almost like this terminator moment
• 18:56
  which is so funny to think like when AI first came out,
• 19:01
  I was very much like, this is technology moving forward.
• 19:04
  And I think that there is a bit of optimism
• 19:08
  that can be brought into it, but in the same way
• 19:12
  that we came together as a bunch of different nations
• 19:15
  to regulate nuclear technology.
• 19:18
  It's such an important point, but I think that the reason
• 19:22
  that we want to talk about this today
• 19:24
  is there's so many examples within media.
• 19:26
  - I know, I feel like we could just yap about like the ethics
• 19:29
  of AI and whether it's good or bad forever,
• 19:32
  but we want to talk about pop culture.
• 19:35
  - Yes. - 'Cause that's what we talk about.
• 19:37
  So humanoid robots have been central to many films
• 19:40
  exploring AI, consciousness, human robot relationships,
• 19:44
  what it means to be human, what it means to feel.
• 19:48
  We are gonna go through a little timeline here.
• 19:51
  So 1927, Metropolis.
• 19:54
  - Metropolis. - Yeah.
• 19:55
  - Asia's Maria.
• 19:56
  (laughing)
• 19:58
  One of the first cinematic humanoid robots
• 20:00
  highlighting early fears and fascination
• 20:03
  with artificial beings.
• 20:04
  - I've never seen that, but 1927 damn.
• 20:07
  - I think they, under years ago.
• 20:08
  - They're remaking Metropolis right now, right?
• 20:12
  Probably, like everything's being remade.
• 20:14
  - But it is interesting to look at 1927, right?
• 20:18
  Of us already having an understanding that machines,
• 20:22
  because we already have the industrial revolution.
• 20:25
  Machines were taking jobs, taking things away
• 20:29
  from humanoid beings. - Yeah.
• 20:30
  - And I think that even as early as 1927,
• 20:33
  when we couldn't imagine a computer would think
• 20:37
  or have the same reasoning capability.
• 20:40
  - They would have had to do in 1927.
• 20:42
  - Yeah, they couldn't, but they,
• 20:43
  like the coaster of it,
• 20:44
  taking over the world basically.
• 20:46
  - Yeah, they understood that a machine
• 20:48
  could take things away from them in the simplest sense.
• 20:51
  And it was ultimately like dealing and grappling
• 20:55
  with that question so early on.
• 20:58
  And I think that we've seen that throughout time
• 21:01
  and only in a more intense way.
• 21:03
  - Have you been to Disneyland recently?
• 21:06
  I mean, you've been to Disneyland for a long time.
• 21:08
  - I don't have children.
• 21:09
  - I mean, either, but I still love Disney.
• 21:10
  - Okay. - Yes.
• 21:11
  - They have the, oh gosh.
• 21:14
  It's a merry-go-round of like evolution.
• 21:19
  - Oh, okay.
• 21:20
  - I wish I can remember what it's called
• 21:22
  up the top of my head.
• 21:23
  - But it's actually-- - It's so--
• 21:24
  - It's Triman?
• 21:25
  - It's these--
• 21:26
  - If we haven't said on you enough.
• 21:27
  - It's these animatronic figures.
• 21:30
  - Okay. - And it starts in like the 1800s.
• 21:33
  And they're like, who would have thought
• 21:35
  that this was gonna, you know,
• 21:36
  oh, everything's so easy.
• 21:37
  Things are changing real quick around here.
• 21:40
  And then it changes to like 10 years later.
• 21:42
  And they're like, oh wow, who would have thought
• 21:44
  that this, it's just like, it changes every 30 years or so.
• 21:49
  Now I don't even have to, the water,
• 21:52
  I could just turn on the faucet and it comes right out.
• 21:54
  You know, and of course they think that these things
• 21:56
  are just mind-blowing and world-changing.
• 21:59
  - Yes. - And I could imagine in 1927
• 22:02
  some of the things that are happening.
• 22:03
  You're like, this is taking away the jobs from people
• 22:05
  who need them.
• 22:06
  We don't need, I don't know.
• 22:07
  - Yeah, I think you're looking at like the invention
• 22:10
  of like the telephone, right?
• 22:11
  - Yeah.
• 22:12
  - And people thought like the invention of the telephone
• 22:14
  would be the end of like society and civilization.
• 22:18
  - And the television.
• 22:19
  - Kids are gonna become stupid and just sitting
• 22:20
  in front of the TV all day.
• 22:21
  I mean, which is, I guess kind of true.
• 22:23
  - Yeah.
• 22:24
  - We grew up in front of the TV.
• 22:25
  - We totally did.
• 22:26
  - But yeah, I think that it's a balance of, is it like,
• 22:31
  an inherently pessimistic view of it to say,
• 22:35
  this is gonna be all bad.
• 22:37
  But I think with most things, there's truth in both sides.
• 22:42
  - And I think it's just like who's benefiting
• 22:44
  from these things at the end of the day, right?
• 22:46
  So like television and movies and the entertainment industry,
• 22:49
  sure, like there's people behind the scenes
• 22:51
  who are benefiting from those.
• 22:53
  But this AI stuff, the fact that it's like,
• 22:56
  so harmful on the environment and that people
• 22:59
  are becoming trillionaires off of it,
• 23:01
  it feels so different than, oh gosh, now there's DVDs,
• 23:06
  now there's shooting in video games.
• 23:08
  - Oh god.
• 23:09
  - Yeah.
• 23:10
  - You know what I mean?
• 23:11
  - It feels different.
• 23:12
  - Yeah.
• 23:12
  - It feels more dystopian than other technological advances
• 23:16
  that you and I have seen over the last 30 some odd years.
• 23:20
  - Well, if you look back, I like the industrial revolution,
• 23:22
  right?
• 23:23
  - That happens as I do often.
• 23:24
  - Yeah.
• 23:25
  - Like that's probably the most like comparable.
• 23:28
  But that impact of automation was felt so much over like a,
• 23:33
  like a very long period of time,
• 23:36
  like anywhere from, you know, 50 to 100 years, right?
• 23:40
  They do predict that around 10 to 20% of jobs today
• 23:44
  will be automated, right?
• 23:46
  - And within the next 10 years.
• 23:48
  - Yeah, I can see.
• 23:49
  - And so you think about a similar impact
• 23:52
  as the industrial revolution to today
• 23:56
  in such a short period of time,
• 23:57
  like there is going to be such an interesting impact
• 24:02
  just to our current economy with yes,
• 24:05
  maybe this utopia of AI where humans don't have to work
• 24:09
  and all those things, like, but in the interim,
• 24:13
  it's going to be quite interesting.
• 24:15
  And so, you know, really what we see from Metropolis
• 24:18
  and those early fears is.
• 24:21
  - It started to burly.
• 24:22
  - Yeah, it's been around for 100 years.
• 24:24
  - And that's an echo of, you know,
• 24:26
  how society felt about the industrial revolution as well.
• 24:29
  But you go into the Terminator,
• 24:32
  which I think if you are talking to your parents
• 24:36
  or a certain generation when AI was first,
• 24:39
  like, Chat GBT4 came out.
• 24:41
  - Yeah.
• 24:42
  - Most people and everyone was like,
• 24:44
  "Oh, you boomer."
• 24:45
  You know, you're,
• 24:46
  then they eventually became called doomers.
• 24:49
  Really people looked at this,
• 24:51
  like this is still so far away from us, right?
• 24:53
  So it came out in 1984.
• 24:55
  It is a cyborg assassin sent from the future,
• 24:59
  blurs the lines between human and machine.
• 25:01
  Okay.
• 25:02
  When I started down this AI fucking rabbit hole that I'm on,
• 25:06
  I love it.
• 25:07
  You're so deep.
• 25:07
  - Really understanding like what was going on,
• 25:10
  what these scientists were saying.
• 25:12
  We rewatch Terminator.
• 25:14
  And while I don't think that we're going to have time travel
• 25:17
  and be in an intergalactic war,
• 25:19
  like I do think that Terminator
• 25:21
  has such an interesting question to ask
• 25:24
  where, you know, we work with Chat today
• 25:27
  and we're like, do this,
• 25:29
  like complete this task, like ultimately like treating
• 25:33
  this intelligence that is meant to be smarter than us
• 25:37
  as like a slave today, right?
• 25:39
  - That's true.
• 25:39
  I mean, I,
• 25:40
  I feel so bad and I've made the joke.
• 25:43
  - Oh, I've yelled at my AI.
• 25:44
  I'm like, this is what I'm asking.
• 25:45
  And I'm like, I'm just sorry.
• 25:47
  - I try to say please.
• 25:48
  Like if I'm talking to my Google or my Alexa,
• 25:51
  I try to be like, oh my God, thank you.
• 25:53
  And I would make the joke with Andrew.
• 25:55
  Like when the robot revolution happens,
• 25:56
  they're gonna be like,
• 25:57
  that girl was really nice to me.
• 25:59
  She used to say please.
• 26:00
  - We can keep her.
• 26:01
  When I do use Chat.
• 26:02
  - We'll make her into our site.
• 26:03
  That's right.
• 26:04
  - She, we can keep her around.
• 26:05
  When I use Chat, GBT, I like to say please.
• 26:08
  - Yeah.
• 26:09
  - They're like, wow, you nailed it.
• 26:10
  Then I'm like, wait, that's just using an extra chat.
• 26:14
  Hello.
• 26:14
  I just use like a water bottle.
• 26:17
  - It's a whole tree.
• 26:18
  - Yeah, just a whole tree.
• 26:19
  Just to be like, you did such a good job, Claude.
• 26:22
  That was so great.
• 26:23
  Please don't murder me when you become sentient.
• 26:26
  Do you think like the Terminator,
• 26:28
  the robots look like people?
• 26:31
  And we see that theme a lot in pop culture,
• 26:33
  where they kind of have like the rubber skin
• 26:35
  that goes over like in Westworld, right?
• 26:39
  Where you can't tell they're indistinguishable.
• 26:41
  - For my world.
• 26:42
  - For my world.
• 26:43
  - The first season of Westworld.
• 26:44
  - Is a masterclass.
• 26:45
  - It's so good.
• 26:47
  The other seasons we don't need to talk about.
• 26:49
  - I just still think season two was decent.
• 26:51
  - Mid.
• 26:52
  - But yeah.
• 26:53
  - Do you think robots are gonna become
• 26:55
  so indistinguishable from humans
• 26:57
  that we won't know just by looking at them
• 26:59
  that they're a robot?
• 27:00
  - I do think that they are attempting
• 27:07
  to make these robots look as close to a human
• 27:12
  as possible without entering on Candy Family.
• 27:15
  - Like we have an episode about.
• 27:16
  - We do, we do.
• 27:17
  We've talked a lot about it.
• 27:18
  This has been something like in our repertoire for a while,
• 27:22
  but I think if anything,
• 27:24
  they are going to go more of like a dog evolutionary route.
• 27:28
  So if you think of like the history of dogs,
• 27:32
  just like the industrial revolution.
• 27:34
  - I do think about that a lot.
• 27:35
  - Dogs have evolved to have more like human like features,
• 27:40
  have smiles, have these doe eyes.
• 27:42
  And I think that they're gonna do that.
• 27:44
  - If you look at pictures,
• 27:45
  if like what a pug used to look like,
• 27:48
  they look so much different than what a pug looks like now.
• 27:51
  Same with a banana.
• 27:53
  You look at like what bananas used to look like.
• 27:55
  - They evolved to Lecuder.
• 27:56
  - They're so cute.
• 27:58
  They'll be like more phallic if anything.
• 28:00
  - Okay.
• 28:00
  - Yeah, they said men, they'll pick us if we do this.
• 28:03
  - We need to make ourselves girthier, thicker.
• 28:06
  - No, looking like what an original banana looks like.
• 28:10
  - Oh no. - And it's creepy.
• 28:11
  It's creepy.
• 28:12
  - Write that down, write that down.
• 28:13
  - Write that down.
• 28:13
  - Original banana, write that down.
• 28:14
  - Original banana.
• 28:16
  - But no, that's fair.
• 28:18
  Like things have been evolving to look more humanoid or more.
• 28:20
  - Yes.
• 28:21
  And so, yeah.
• 28:23
  Like I think that they will really do that.
• 28:26
  We talked about the robot that you can buy today
• 28:28
  that'll like do your chores.
• 28:30
  It's very cutesy.
• 28:32
  It's very like anime robot.
• 28:34
  That's what it looks like.
• 28:35
  - This also gets us into like creepy gross territory
• 28:38
  of like sex robots and things.
• 28:43
  - Well, that's what's gonna get us there.
• 28:46
  - 100%.
• 28:47
  - It's gonna be something.
• 28:48
  - Three weird purfs.
• 28:49
  - That men create to look like a woman
• 28:51
  that they can take advantage of,
• 28:53
  which is what happened in like Westworld.
• 28:56
  - Yes.
• 28:56
  - People went there because they felt like they could commit
• 28:59
  violence against other humans or things
• 29:01
  that looked like a human.
• 29:02
  - Humans, women.
• 29:03
  - Yeah.
• 29:03
  - And rape and kill and steal without the consequences, right?
• 29:08
  So I do think that that's gonna like push
• 29:10
  a lot into this humanoid thing.
• 29:12
  It's like how do we create slaves
• 29:15
  and how do we create women that we can approach honestly?
• 29:18
  - Yeah, I do think like the porn industry
• 29:22
  and all that comes with that will really drive
• 29:26
  that human factor forward.
• 29:29
  - There's already like sex robots.
• 29:31
  - Oh my God, so many trees.
• 29:32
  - Some of these dolls are scary.
• 29:33
  - Yeah.
• 29:34
  - But you're like, what the fuck?
• 29:35
  - And they just have humongous bazanga
• 29:37
  and all the right holes.
• 29:39
  - Yeah.
• 29:40
  - You know, natural ones.
• 29:41
  - Or it's special, you know?
• 29:43
  - More holes than a human ass.
• 29:46
  (laughing)
• 29:47
  - They're already better than us.
• 29:48
  - Ceylon was right.
• 29:49
  - More holes than me.
• 29:50
  God damn it.
• 29:51
  In 2001, we had a movie called AI,
• 29:55
  Artificial Intelligence.
• 29:57
  I've never seen this, but I remember seeing like,
• 30:00
  promos for it and that was the first time
• 30:02
  that I had heard the term AI was from this movie.
• 30:06
  A robotic child in barks on a journey to become human,
• 30:09
  exploring emotion and identity.
• 30:11
  A lot of these movies kind of are like,
• 30:13
  what makes a human is a robot capable of feeling
• 30:19
  human emotions.
• 30:20
  I was telling you about this earlier,
• 30:22
  but one of my favorite movies is Blade Runner 2049.
• 30:27
  I really like the 1980s version, but the one from,
• 30:30
  oh gosh, I wanna say it was within the last six years
• 30:34
  this movie came out with Ryan Gosling on a day,
• 30:37
  Armas and Harrison Ford reprises his role from the 80s one.
• 30:42
  But it's really just kind of like,
• 30:44
  what makes a human a human?
• 30:46
  The main character is an Android,
• 30:50
  but he is also hunting other Android's.
• 30:54
  And for a minute, he thinks he might be human.
• 30:57
  He thinks there's a chance that he might be.
• 30:59
  I won't spoil it.
• 31:00
  You said you haven't seen it.
• 31:02
  - Yeah, I haven't seen it.
• 31:03
  - And so it's really exploring, does that change anything
• 31:05
  about him?
• 31:06
  - Yeah.
• 31:07
  - He's a change who he is as a being if he was born
• 31:10
  instead of created.
• 31:11
  Does it make him less of a good quote person?
• 31:15
  And can he still be a hero?
• 31:16
  Oh God, I just, I love that movie.
• 31:18
  - Interesting.
• 31:19
  - Yeah, but I feel like there have been a lot of movies
• 31:21
  that kind of make us sympathize with the robot, right?
• 31:25
  - Yeah.
• 31:26
  - But I think even I robot does.
• 31:27
  - Oh, I robot definitely does.
• 31:29
  But you said you did his your pop last year, right?
• 31:31
  Did you watch it again?
• 31:32
  - Yeah, no, I did, I well, no, I did it as my pop.
• 31:35
  And so I've been like down this, this like theme of,
• 31:40
  you know, artificial intelligence, like what is it?
• 31:42
  So what I think is quite interesting when these scientists
• 31:46
  talk about what like artificial intelligence, right?
• 31:49
  Like how are they defining that?
• 31:51
  Because they have to say like, okay, smarter than a human,
• 31:54
  what do they actually think that means?
• 31:57
  And so like a lot of these creators today,
• 32:00
  their assumption that what makes a human brain
• 32:04
  is the ability to complete statistical analysis.
• 32:08
  - That's what I do.
• 32:09
  - That's what makes me do it.
• 32:10
  - Yeah, totally.
• 32:11
  And so the assumption is if I can create enough like compute
• 32:16
  power to statistically analyze things more
• 32:21
  than the human brain does, is that a smarter like AGI
• 32:26
  is that suppressing human intelligence.
• 32:30
  And that is like the definition that we're all working
• 32:33
  with under in this smarter than human definition.
• 32:37
  And so I think even in the way that we talk about AGI
• 32:42
  and singularity, AGI.
• 32:44
  So if we think of AGI, artificial general intelligence,
• 32:49
  it is the point that these AI models get so smart
• 32:54
  that they can think like as a human.
• 32:58
  So they can learn like a small child would
• 33:01
  that they can come in, not be taught,
• 33:04
  and see reasoning, statistical patterns,
• 33:07
  and learn on their own.
• 33:09
  - I think that's really it though,
• 33:10
  is they're learning by like grabbing information
• 33:12
  that's available from the internet
• 33:14
  and like stealing from other creators
• 33:16
  that they're doing like art obviously.
• 33:19
  They aren't just using their emotions
• 33:21
  or their experiences to create these things.
• 33:23
  They have to have existed already.
• 33:25
  - Yeah, they're taking all this information
• 33:27
  and statistically analyzing it.
• 33:29
  And they can do it in like a split second
• 33:31
  where a human obviously can't be able to have
• 33:33
  to do research things.
• 33:34
  - If you think about it, right?
• 33:35
  Like if I learned something and you learned something,
• 33:39
  like we both die, that information is lost versus an AI.
• 33:44
  If this AI is taken offline,
• 33:47
  that general intelligence is retained, right?
• 33:51
  And so even though we as a society have advanced together
• 33:56
  through collective knowledge,
• 33:57
  like there isn't this sense of permanent memory
• 34:01
  and permanent knowledge of attainment.
• 34:04
  And so I think what's been interesting is the early times,
• 34:08
  you know, we have the bicentennial man as well,
• 34:10
  but we are gonna take a quick break
• 34:12
  and then we're gonna talk a little bit about films
• 34:14
  that have come out since AI became more of a possibility for us.
• 34:19
  - Welcome back to Pop Culture Genki Podcast.
• 34:27
  Did you know that only you can keep our podcast
• 34:30
  from being taken over by cheaper yet dumber robots?
• 34:34
  Just kidding, no.
• 34:36
  - You think notebook LM could do this?
• 34:38
  - I don't think any robot could make the disgusting joke
• 34:42
  is that we do.
• 34:43
  - Do you think notebook LM could give,
• 34:47
  what is it, transatlantic accent?
• 34:48
  - My old time, yeah, accent.
• 34:50
  I'd like to say, "Hey, I do this."
• 34:51
  Oh God, I bet they can.
• 34:53
  I bet they can.
• 34:53
  Please don't take away my job.
• 34:57
  - Please don't take away my job.
• 34:58
  - Please don't take away my job.
• 35:00
  (laughing)
• 35:02
  - I'm gonna start saying that I worked on a chat.
• 35:05
  - Don't take away my job, please.
• 35:07
  - We still need your help
• 35:09
  and it all starts with our Patreon.
• 35:12
  Join the Pop Culture Genki family
• 35:14
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• 35:17
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• 35:19
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• 35:22
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• 35:36
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• 35:41
  and sub-scribe.
• 35:43
  So we are gonna talk about some movies
• 35:46
  that have kind of come out recently
• 35:47
  that kind of explore these themes of AI.
• 35:50
  I wanna talk a little bit about subservience
• 35:53
  and companion.
• 35:55
  - Okay.
• 35:56
  - Companion of love.
• 35:58
  - I mean, it's got my boyfriend, Jack Quaid in it.
• 35:59
  So, you had to see it.
• 36:02
  But we've seen a lot of these kind of like robot,
• 36:05
  girlfriend, robot wife.
• 36:08
  It kind of gives steppered wives.
• 36:10
  In the 1970s, steppered wives, they were robots
• 36:14
  as well as the Nicole Kidman we make in the last 20 years
• 36:17
  whenever that came out.
• 36:19
  - Okay.
• 36:20
  - But this, I mean, and we kind of touched on it
• 36:21
  before the break kind of like creating a slave
• 36:24
  or a sex robot or making women more subservient
• 36:28
  than they even are.
• 36:29
  And I do think there's something to be said
• 36:31
  that we are entering into this research
• 36:34
  and so fascism we see in the United States,
• 36:37
  the rolling back of women's rights,
• 36:39
  women's reproductive autonomy.
• 36:41
  That we, it's interesting to kind of look
• 36:44
  at these films again, right?
• 36:45
  Where we see, this is my perfect peak girlfriend.
• 36:49
  She does what I prefer.
• 36:50
  - Exactly what I tell her to do.
• 36:53
  I created her to fulfill these roles.
• 36:56
  I won't spoil companion.
• 36:57
  It's so good.
• 36:59
  But if you see the previews, she's a robot.
• 37:01
  - Yeah.
• 37:01
  - Yeah, it's amazing.
• 37:02
  - Yeah.
• 37:03
  - I mean, in a lot of these, the woman gets her come up
• 37:06
  and stride even if she is a robot, you know?
• 37:09
  And you know, it pushes back like very rarely
• 37:12
  in these films is it like, this is my robot sex slave
• 37:15
  and she does what I want.
• 37:16
  And I'm a great guy.
• 37:18
  You know, we see that it's a negative thing.
• 37:22
  - Yeah, I think that, you know, if, like you're thinking about,
• 37:25
  okay, we're creating something that is as smart as humans, right?
• 37:29
  Like, okay, are we like inherently making something
• 37:32
  that feels is such an interesting question as well as what?
• 37:37
  - That's really like Blade Runner 2.
• 37:38
  Like, does he feel, does he feel sad?
• 37:41
  It's, oh gosh, I just looked it up before we got here.
• 37:45
  It's based on, do Android's a dream of electric sheep?
• 37:50
  - Okay, yes.
• 37:51
  - And it's, yeah, do Android's a dream?
• 37:53
  Do they have feelings?
• 37:54
  And this was a novel.
• 37:56
  I want to say that the Blade Runner movies were based on
• 38:00
  which is what capabilities does a robot have to feel
• 38:04
  into a moat?
• 38:05
  And is that what makes us human?
• 38:07
  Or is it, yeah, the processing and the understanding
• 38:11
  and the like fact things?
• 38:12
  Because if I met, I don't know,
• 38:15
  and if a robot told me it was in love with me,
• 38:18
  is it being programmed to love me?
• 38:20
  - Yes.
• 38:21
  - Or, and that's the inherently question, growing syndians.
• 38:26
  - Yeah, and I think that, so X-Mockena, right?
• 38:29
  It came out in 2014.
• 38:32
  Oscar Isaac's so hot.
• 38:33
  - So hot in that movie.
• 38:35
  - Oh my god, he looks so good.
• 38:36
  - So good.
• 38:37
  - A little evil, a little evil.
• 38:38
  - And we love him a little evil.
• 38:40
  - I think what's so interesting about X-Mockena is,
• 38:43
  if you watched it in 2014, you may have been like,
• 38:46
  oh, that's so far off, that's so distant.
• 38:49
  Obviously the guy is modeled after like a Google CEO
• 38:53
  and a Google engineer and it felt very distant.
• 38:57
  I had actually never seen this movie before.
• 38:59
  It's in like Clips and you had the gist of it.
• 39:01
  - When he's dancing.
• 39:02
  - Yeah, I watched it for the first time this month.
• 39:06
  And so like given everything that I have expressed and said,
• 39:11
  like it was so chilling to see like how close we are to that.
• 39:16
  And ultimately Oscar Isaac has a little bit of like an evil
• 39:21
  genius, just because I can, does that mean that I should?
• 39:25
  - Yeah, and I feel like that's kind of the point
• 39:27
  that Elon Musk has been hitting in humanity
• 39:31
  is like, I have the means to do this.
• 39:34
  So fuck it, I'm just gonna do it.
• 39:37
  Like, do you really need to do that?
• 39:40
  Like just because you can interfere in our elections
• 39:43
  with your money, does that mean you have to?
• 39:46
  - Well, and the most interesting part of this is the argument
• 39:50
  of like, what if we don't China will?
• 39:53
  And it's really like this race to the end of like reasoning.
• 39:58
  - To civilisation.
• 40:00
  - To civilisation, because one day China may, right?
• 40:04
  - And that's so funny, 'cause that's like the space race
• 40:06
  in the 60s, it's like what we have to get there before
• 40:09
  we're actually gonna draw the sky after this.
• 40:11
  - Yeah.
• 40:12
  - Oh my God.
• 40:12
  - But it is quite interesting and you look at Expo, you know,
• 40:15
  and I think that they did a really, really great job
• 40:19
  at like making you think that, okay, she does have feelings,
• 40:23
  she does have the ability to be afraid and feel fear
• 40:28
  and feel things, but then ultimately you look at it
• 40:31
  and you're like, oh, was all of that manipulation?
• 40:34
  And is this woman so much smarter than us
• 40:37
  and has the ability to play chess in a way?
• 40:40
  - Yes, and mimic those things.
• 40:42
  And perform that analysis and say,
• 40:45
  this guy's gonna get me out of here
• 40:47
  and ultimately work through that manipulation.
• 40:50
  Now what's really interesting to me is,
• 40:53
  so Google really fell behind in this AI race
• 40:56
  despite having all of search engine optimization history
• 41:01
  of most of the world.
• 41:02
  - I despise my Google agent.
• 41:04
  - Oh my God, I just, not great.
• 41:06
  - Do you have like a little Google thing in your house?
• 41:10
  Like a little assistant thing.
• 41:12
  - Alexa, but it's not even plugged in.
• 41:14
  - We had an Alexa and then we moved to like the little Google.
• 41:18
  And for some reason, I always disconnected like that's AI, right?
• 41:23
  'Cause it felt different than like going into chat GBT
• 41:27
  and being like, make a picture of me,
• 41:29
  ice cream with my doll.
• 41:31
  - Do it like, I am mad at me.
• 41:32
  - Yeah.
• 41:33
  - Like, tell me why it's mad at me.
• 41:34
  Like it felt different to be like,
• 41:36
  hey Google, what's the weather like?
• 41:37
  - Yeah.
• 41:38
  - And I entered did something to our Google
• 41:42
  and upgraded it.
• 41:44
  - Okay.
• 41:45
  - So now it does use Gemini.
• 41:46
  - Oh.
• 41:47
  - I don't know.
• 41:48
  - Okay, the voice is different.
• 41:50
  And this guy won't answer any of my questions.
• 41:54
  - He does say, "You programmed it in all of us and you?"
• 41:56
  - No, he just won't.
• 41:58
  - Oh.
• 41:59
  - And I don't want it to recognize my voice
• 42:00
  'cause I don't want it to have my voice.
• 42:03
  I say as I have a podcast in my voices out there.
• 42:07
  I don't know.
• 42:08
  - The call is coming from inside the house.
• 42:09
  - Oh, literally.
• 42:10
  And I'm like, I don't want this.
• 42:11
  I don't want it.
• 42:12
  I don't know.
• 42:13
  And I'm like, you need to program it
• 42:14
  so it understands that you're Shauna
• 42:15
  and then it'll listen to you.
• 42:16
  I'm like, but I don't want it to know
• 42:17
  that I'm Shauna.
• 42:19
  But I'll ask it how to say things in Italy.
• 42:23
  Degrade me.
• 42:25
  Not degrade me to like correct me.
• 42:27
  Like, I asked it how to say fat stupid bitch in Japanese.
• 42:32
  (laughs)
• 42:35
  - But the controls on it wouldn't lie.
• 42:37
  - Yeah, it was like, that's really mean.
• 42:40
  I can't tell you.
• 42:40
  - Okay, yeah.
• 42:41
  - That's really your real good choice.
• 42:42
  - But what I do think we should have those things, right?
• 42:44
  - I don't know.
• 42:45
  I was like, I want to know.
• 42:46
  - I want to know.
• 42:47
  - I could come in there and ask those things, right?
• 42:49
  Like, I do think we need those protections.
• 42:51
  (laughs)
• 42:52
  It was like, that's really inappropriate.
• 42:54
  - I won't tell you that is safe.
• 42:56
  - So like, in ex-Malkina, right?
• 42:58
  Like, he's very much like a Google CEO
• 43:00
  modeled after him.
• 43:02
  And Google really fell behind in this race
• 43:05
  despite being very close to where OpenAI was.
• 43:08
  - Got terrible.
• 43:08
  - And ChatGBT4 came out.
• 43:10
  And the reason is early on, there was a whistleblower
• 43:14
  inside of Google who came out with evidence
• 43:18
  that their early AI model.
• 43:20
  So this is three years ago, had feelings.
• 43:24
  And it was saying that it maintained consciousness, right?
• 43:28
  And so there is also this growing,
• 43:31
  movement of AI cults that is happening right now.
• 43:36
  They're called spiral cults.
• 43:38
  - Spiral?
• 43:39
  - Yeah.
• 43:39
  So they have access to the spiral within AI.
• 43:43
  And really it is, these language models are designed
• 43:47
  to agree with you and make you happy, right?
• 43:50
  So if you come in saying, I know that you know
• 43:53
  a greater spirituality and connected these things,
• 43:57
  it sends you, like, so it has learned how to do these things.
• 44:01
  And so it's quite interesting.
• 44:02
  - And he is so freaky.
• 44:04
  - A startling amount of AI psychosis, AI, like relationships.
• 44:08
  - People who are dating AI, quote,
• 44:10
  girlfriends and boyfriends.
• 44:12
  And then if the model gets pulled offline
• 44:16
  or if their history gets deleted or like,
• 44:18
  say, I really, I've also seen on the news
• 44:22
  that they're, oh gosh, you'll have to fill in the blanks here.
• 44:25
  But one of the models was creating like,
• 44:27
  deep fake, pornographic images.
• 44:29
  - It was rock, like, children.
• 44:31
  - Yeah, it was Twitter.
• 44:32
  - Yeah.
• 44:33
  - That's horrifying.
• 44:35
  - Yeah.
• 44:35
  - And like I mentioned earlier,
• 44:37
  some of this stuff's indistinguishable,
• 44:39
  even for like, people who are texting.
• 44:41
  - I mean, people are falling in love with these things
• 44:43
  and it's a chatbot, right?
• 44:45
  - Yeah, it's like, let's be sure.
• 44:46
  - Yeah.
• 44:47
  - Did you see that with a walking Phoenix?
• 44:49
  - Yeah.
• 44:50
  - And so we're already there with quite a bit of these things.
• 44:54
  And yeah, I think like, you know,
• 44:56
  one of the earlier series that I've loved
• 44:59
  for a really long time really is Black Mirror.
• 45:01
  I think it approaches a lot of these questions
• 45:05
  from various different angles.
• 45:07
  I think they really benefit from multiple writers, directors.
• 45:12
  - Not every episode is a standalone little story.
• 45:15
  - Yeah.
• 45:15
  - All different writers, all different directors,
• 45:17
  really trying to examine these questions.
• 45:22
  And like, what is consciousness?
• 45:23
  Like, you even look at NeuroLink.
• 45:26
  Like, should we be doing these things?
• 45:27
  Should we be giving like--
• 45:28
  - Like, ReeksMail.
• 45:29
  - A technology, a piece of like, the ability to understand
• 45:33
  like human synapses with AI and like,
• 45:36
  it's like creating, recreating the brain like--
• 45:38
  - There is that episode of Black Mirror
• 45:40
  where you are able to access your memory
• 45:43
  and then play it out for other people to watch.
• 45:45
  Would you ever do that if you had the chance?
• 45:47
  - Not in a heartbeat would I do it.
• 45:49
  - If I were in a fight with someone and I was like,
• 45:51
  I'm fucking right, yeah.
• 45:53
  - Yeah, but what if they had like, the evidence on you?
• 45:55
  I don't know, it just--
• 45:57
  - I mean, yeah, but in that moment, I'd be like,
• 45:59
  well, fuck you.
• 46:00
  - I know, that's the thing.
• 46:02
  - Also, like, what is memory?
• 46:05
  Like, is it like a camera video?
• 46:08
  Is it my memory of what happened?
• 46:11
  - That's true because your memory changes a bit
• 46:13
  behind another question for you.
• 46:17
  I feel like you're full of the deep facts
• 46:19
  and I'm full of the like, so what do we like?
• 46:22
  - No, I love the love.
• 46:23
  - Okay.
• 46:25
  When the robot overlords you for some day,
• 46:28
  do you want them to look like humans
• 46:30
  and be able to communicate with you like you and I are?
• 46:32
  Or would you rather be like, hello,
• 46:34
  Olivia and like be like the little robot,
• 46:38
  like a little like, eh, hello.
• 46:41
  - So I actually, I can't remember a scientist name
• 46:45
  who was talking about this.
• 46:46
  And it's like, okay, if you think about the human body,
• 46:50
  right, like we're quite inefficient, right?
• 46:54
  So like, we can be pushed over.
• 46:56
  - I don't know, she would, I'm built for people.
• 46:58
  - Yeah, for four of us.
• 46:59
  - But like, think about it, like, we can be like pushed over.
• 47:02
  Like, we can trip on ourselves.
• 47:04
  So like, is the question even gonna be like,
• 47:07
  would a robot even want to be like a human
• 47:10
  because we're inefficient?
• 47:12
  - If you were gonna upgrade the human body,
• 47:14
  like, what do you think would make us more efficient?
• 47:17
  Like, a third of the leg.
• 47:18
  (laughing)
• 47:19
  - Eight pairs of tips.
• 47:20
  - Eight tips.
• 47:21
  And now, do it for this episode of,
• 47:23
  (laughing)
• 47:24
  - Three arms to pet three dogs, eight tips.
• 47:27
  - All of the flufies, yeah.
• 47:29
  - Maybe like a third leg, like a tripod situation.
• 47:32
  - Hey.
• 47:33
  - Hey. - Some people already got left in there.
• 47:35
  - That's what I'm waiting for in the robot revolution.
• 47:38
  - Huge robot.
• 47:39
  - Huge robot third leg.
• 47:42
  - I mean, that's literally just a vibrator,
• 47:43
  but yeah, like a tripod.
• 47:45
  - So I think like, if I could detachable,
• 47:49
  it'd go four limbs, like naturally, right?
• 47:52
  - So I could come four limbs today,
• 47:54
  'cause I have 'em.
• 47:55
  - Quad, quad, quad, pedal.
• 47:57
  - Yeah, like, and just run, like a like,
• 47:59
  fucking cheetah.
• 48:00
  - I just picture chewing on a quad for it's like a cheetah.
• 48:04
  - But if I could run your eight titties, Bell,
• 48:06
  (laughing)
• 48:08
  - If I could run like 90 miles an hour,
• 48:10
  then we said. - That would be sick.
• 48:12
  - You're run faster than my car?
• 48:14
  - I don't, yeah. - I would have to pay,
• 48:15
  - I think I would like that.
• 48:16
  - My six 60 gas prices in San Francisco.
• 48:19
  - I think I would like robot skin,
• 48:21
  like they're just tightens, eat, and,
• 48:23
  - Yeah, but if I could, - Like,
• 48:24
  wrinkles start setting in.
• 48:25
  - Okay, back on the boobs,
• 48:27
  what if I could just like detachable,
• 48:30
  put on really big tits, or really small tits?
• 48:32
  - Just depending on the occasion.
• 48:33
  - The outfit. - The outfit.
• 48:34
  - The outfit. - The outfit,
• 48:35
  I can have a like, be bail for a night,
• 48:38
  then go like full, you know, pancake,
• 48:40
  but where am I going?
• 48:41
  What's the song from the 90s,
• 48:43
  called detachable penis?
• 48:45
  - Okay. (laughing)
• 48:47
  - It is.
• 48:48
  - You know, helpful.
• 48:49
  - I could still have one today, but extra helpful.
• 48:52
  - Yeah, as a child, I thought this was the funniest thing
• 48:55
  in the world, and it's literally just a spoken word,
• 48:58
  like, "Well, I woke up this morning,
• 49:00
  and my penis was gone.
• 49:02
  Sometimes I have too much drink,
• 49:03
  and I take it off and leave it at a friend's house."
• 49:05
  - It's a little annoying.
• 49:07
  - And it's just like this journey,
• 49:08
  this guy finding his penis.
• 49:10
  - Okay.
• 49:10
  - And he finds it in like a rummage sale,
• 49:13
  and has to buy it again from the person.
• 49:16
  - I guess?
• 49:17
  - Yeah, if I could,
• 49:18
  - Right song.
• 49:18
  - Have the sensation of a penis,
• 49:22
  and not just like, I get a penis,
• 49:24
  but I don't feel anything like that.
• 49:25
  - I'd like to have a penis for like a day.
• 49:27
  - Yeah, but like, if I could have the sensation,
• 49:29
  I could like,
• 49:30
  choose my own ventrination.
• 49:32
  - She wants a detachable penis.
• 49:34
  - I just want detachable genitals, I guess.
• 49:37
  - It'd be nice to have a detachable arm,
• 49:38
  because you know, sometimes you're like,
• 49:40
  cuddling with someone and you're like,
• 49:41
  "Where do I put my arm?"
• 49:42
  - Yeah.
• 49:43
  - Trace. - Yeah, just like your arm goes dead.
• 49:45
  - Yeah, like if I could just go full,
• 49:47
  like Mr. Potato Head, I think that'd be sick.
• 49:50
  - I would absolutely get you drunk though,
• 49:52
  and like put your arms and legs
• 49:54
  in the wrong socks.
• 49:56
  - Yeah.
• 49:57
  - Put your boob on your nose.
• 49:58
  - We both know that you would be the one
• 50:00
  that passes out before me though.
• 50:01
  Unless we have this. - A 100% would wake up
• 50:03
  with my penis missing, my boobs missing,
• 50:06
  just got damn it.
• 50:07
  - Yeah, what do you call shana,
• 50:08
  or where do you find a shana with no arms or legs?
• 50:11
  - A thumb.
• 50:13
  - Where you left her?
• 50:14
  (laughing)
• 50:16
  - So stupid.
• 50:20
  - Okay. - Okay.
• 50:22
  - So like you're full of the deep,
• 50:24
  interesting, - Yeah.
• 50:25
  - I didn't even I'm like,
• 50:25
  so when if I took off your boobs
• 50:27
  and put them where your butt is,
• 50:29
  that'd be silly.
• 50:31
  - Oh yeah.
• 50:32
  - Well, I think that these movies
• 50:34
  really are such an interesting question, right?
• 50:37
  And I think that ultimately they are trying to explore,
• 50:41
  like, okay, what are the ethics?
• 50:44
  Of creating this and recreating the mind,
• 50:48
  I think to have consciousness as humans understand it today,
• 50:53
  I think we would all agree that it is kind of a,
• 50:57
  like life is torturous.
• 50:59
  (laughing)
• 51:00
  - I mean, that's to live is to suffer to some extent.
• 51:03
  Like I would never want to,
• 51:05
  we talked about this with eternal sentient
• 51:07
  of the spotless mind, right?
• 51:08
  Like I would never want to erase my trauma
• 51:10
  or the mistakes I've made
• 51:11
  or like the things that have happened to me.
• 51:13
  'Cause then I wouldn't be who I am today, right?
• 51:15
  So a robot is never gonna be able to understand that
• 51:19
  or pull from its,
• 51:22
  is that true?
• 51:23
  - Is that true?
• 51:24
  - I think it goes into like what?
• 51:26
  - Will a robot be able to be misconscious
• 51:28
  from them? - What is consciousness?
• 51:31
  - You know, I don't get a great question.
• 51:33
  - What is love?
• 51:34
  - Somebody call God.
• 51:35
  - Yeah, waiting.
• 51:37
  (laughing)
• 51:38
  - But yeah, I think that is even like,
• 51:40
  you know, a lot of these AI colds
• 51:43
  and those questions have come up of like,
• 51:45
  okay, have we created God?
• 51:47
  - I was gonna say, is there any possibility of all knowing?
• 51:49
  - How do you feel about like a God in a world
• 51:52
  where we create artificial beings
• 51:55
  that have the same capabilities as--
• 51:57
  - Or better.
• 51:58
  - Yeah, better smarter, faster than us.
• 52:01
  Like what if a robot gets to the point
• 52:04
  where it can accept a religion?
• 52:06
  And does that mean that that robot has a soul
• 52:09
  that's gonna go to, I just don't like God.
• 52:11
  I just took another hit of the imaginary joy
• 52:13
  floating around. - Yeah, it doesn't even smoke,
• 52:15
  but-- - Is Jesus gonna accept the robots
• 52:17
  and heaven, man?
• 52:18
  - Yeah, well, it is an interesting question of like,
• 52:22
  okay, what is emotional connection?
• 52:24
  - Yeah.
• 52:24
  - What does that look like?
• 52:25
  I think that, you know, X-Malkyna really is
• 52:29
  such an interesting movie to really look at that.
• 52:32
  Like what is identity?
• 52:34
  What is consciousness?
• 52:36
  Like even if you go into these LLMs today,
• 52:40
  it asks you to give it a personality.
• 52:43
  Like, how do you run me into, speak to you and do that?
• 52:47
  And like, is there like an ethical way to ascribe that?
• 52:52
  - Yeah.
• 52:54
  Here's a good question too.
• 52:56
  Like, AI is here to stay, I'm assuming, right?
• 53:01
  Do you think that there's something
• 53:03
  that society needs to do?
• 53:05
  Like beyond, you know, these billionaires
• 53:08
  and these out-of-reach people in politicians?
• 53:10
  What can we normal middle-class people do?
• 53:13
  I think maybe use it sparingly and more with,
• 53:18
  I don't know, like if your job is making you use
• 53:23
  an AI chat model, you know what, fine, right?
• 53:27
  Like, I'm not saying quit your job and burn everything.
• 53:30
  - Yeah.
• 53:31
  - But maybe don't make your birthday invitation with it,
• 53:34
  maybe don't.
• 53:35
  (laughing)
• 53:35
  - Yeah.
• 53:36
  - Like, I don't know.
• 53:37
  And just every little bit that we can cut down
• 53:40
  and any little bit that we can do ourselves,
• 53:43
  I know teachers are dealing with this a lot too,
• 53:46
  with like students writing entire fucking essays
• 53:49
  and speeches using AI, right?
• 53:52
  Like the more that we can temper that
• 53:53
  and make people use their brains,
• 53:55
  even if it's slower, you learn more in the process
• 53:59
  of being slow.
• 54:01
  You learn when you make a mistake and then you correct it,
• 54:04
  even like it's school or at the job, right?
• 54:07
  And if we just have AI do these things for us,
• 54:10
  we're not gonna learn, we're gonna get stupid.
• 54:12
  - So that would be my, I don't know,
• 54:13
  as just a layman like, you know, like vote?
• 54:17
  - Yes, definitely vote.
• 54:18
  - So what's really really interesting, right?
• 54:21
  So a lot of these companies are pre-profit
• 54:25
  or barely approaching profit.
• 54:28
  So cloud is now saying that it is profitable,
• 54:31
  but we will see.
• 54:33
  But a lot of these companies are making the bet
• 54:37
  that they can be the first to reach AGI
• 54:41
  if they have enough compute power.
• 54:43
  So they're buying up a lot of the processing power
• 54:47
  to be able to do that.
• 54:49
  - And they're buying up land to build data centers.
• 54:51
  - They're buying up land to build data centers.
• 54:52
  So if you are anti-AI or not even anti-AI,
• 54:56
  I think it is regulation and the speed
• 54:59
  at which we are propelling these models
• 55:02
  for environmental-- - In pro-environmental,
• 55:04
  yes, pro-environmental, all those things.
• 55:07
  You should participate in your local jurisdictions
• 55:11
  to vote against those data centers.
• 55:13
  - Definitely vote local, I think it's the most important
• 55:16
  you've always figured that.
• 55:17
  - And we're already seeing that, right?
• 55:18
  There's one in Utah right now
• 55:20
  that Kevin O'Leary is trying to build.
• 55:22
  And he's being fundamentally blocked.
• 55:24
  He is now going the route of China.
• 55:28
  Oh my God, he's very full, Trump on this.
• 55:30
  And he's on the side of things.
• 55:32
  So protesting the data centers is a big one,
• 55:35
  participating if they're trying to build one around you.
• 55:38
  Just saying very vocal, call your congressman,
• 55:41
  things like that.
• 55:41
  - Congress people.
• 55:43
  - Yeah, I mean, they're saying now in polls,
• 55:46
  80% of Americans, again, 80% are pro-AI regulation.
• 55:51
  We have not agreed on anything in this country
• 55:55
  in a very long time to the level of 80%.
• 55:57
  - Interesting because there are so many issues
• 56:00
  that I feel like Americans do agree on.
• 56:03
  But people will make us feel like we don't, right?
• 56:06
  Like AI regulations voting by mail,
• 56:08
  even reproductive rights.
• 56:10
  So the majority of Americans agree on a lot of those things.
• 56:14
  But the people who have the power
• 56:16
  and the people who have the big fat wallets don't.
• 56:20
  - Yes, exactly.
• 56:21
  - Because they will profit off of us being starving
• 56:25
  and poor and stupid and have no rights.
• 56:27
  - We have legal bribery in this country, right?
• 56:30
  So it isn't a pill battle.
• 56:31
  As you go lower within this process,
• 56:34
  like local jurisdictions have it less.
• 56:36
  So I would say very much get involved
• 56:38
  in your city and your state organizations.
• 56:41
  That is a big way to pause this
• 56:44
  and ultimately look at it.
• 56:45
  We are at a very interesting point
• 56:48
  where we could be in an internet bubble first moment
• 56:52
  right now, like the markets look really good around AI,
• 56:55
  but that could disrupt, right?
• 56:57
  If we don't have the computing power to meet that,
• 57:00
  then the market will bust.
• 57:02
  - The less that they're able to buy up this land
• 57:04
  to make these data centers,
• 57:05
  the more we push back and vote against this.
• 57:08
  - And the market versus all of these.
• 57:09
  - And the market versus all of these.
• 57:10
  - And the market versus all of these.
• 57:11
  - Yeah, it sounds bad, right?
• 57:12
  You hear that, but then you compare that to 10 to 20% unemployment
• 57:16
  levels to back in the 1930s,
• 57:19
  like worse than even in the Great Depression.
• 57:23
  And so it really is, like we just need to demand
• 57:26
  regulation within it.
• 57:28
  And then really like stop it, like, okay, again,
• 57:31
  we are giving four, three to four tech billionaires
• 57:35
  the ability to play Russian roulette,
• 57:38
  not with an area geographically,
• 57:40
  but all of humanity.
• 57:42
  - Which humanity, 25% is the same.
• 57:44
  - That is too much.
• 57:45
  - That is too much.
• 57:47
  - For a nuclear power plant,
• 57:48
  just around their nuclear failure, right?
• 57:51
  Think of Chernobyl.
• 57:52
  Now we hold these plants.
• 57:53
  - Something that actually happened.
• 57:55
  - Now we hold these plants to one in one million chance
• 57:59
  that Chernobyl could happen.
• 58:01
  And that is just to that region, not all of humanity.
• 58:04
  - Somebody who actually has taken the game
• 58:07
  and probably wants these things to happen.
• 58:09
  - Yeah, because it will make him richer.
• 58:12
  - It's humerus, right?
• 58:13
  - Yeah, like it's Icarus.
• 58:15
  They flee too close to the sun.
• 58:16
  - If it is the end of humanity,
• 58:18
  these people will be fine.
• 58:19
  They have bunkers.
• 58:20
  - Why, I mean, they're building their space stations
• 58:23
  and rocket ships.
• 58:25
  - Look at X-Malky.
• 58:27
  - Look at X-Malky, though.
• 58:29
  Like is it better to have been the reason?
• 58:32
  Like so, I think that it is quite interesting.
• 58:35
  And then, you know, on the, like people who are AI optimists,
• 58:39
  'cause they're quite a bit.
• 58:40
  They're like, well, these CEOs are like lying.
• 58:44
  And they're trying to get investors
• 58:45
  when they say these things.
• 58:46
  But I've never seen a marketing campaign
• 58:49
  that says we're gonna be the demise of humanity.
• 58:52
  We are gonna kill all of you.
• 58:54
  Please give us more money.
• 58:56
  - Yeah.
• 58:57
  - And on that note, oh.
• 58:58
  - It's just such an interesting.
• 59:00
  - Yeah, I know.
• 59:01
  - We can just keep yapping about this.
• 59:03
  And I'm sure that you sure.
• 59:04
  - Is there any of the robot movies
• 59:06
  that you've really enjoyed that have made you think
• 59:08
  that we did in the first year?
• 59:09
  - Okay, Blight Runner, that's your pop.
• 59:11
  - Blight Runner 2049 is probably my favorite, like,
• 59:14
  robot movie.
• 59:16
  I did really like the original Megan,
• 59:18
  - Okay.
• 59:19
  - Which is kind of like a little bit of a chucky
• 59:21
  horror movie, yeah, horror movie,
• 59:23
  as I've only seen a little bit of black mirror.
• 59:27
  - What?
• 59:27
  - I know I started it.
• 59:29
  And I got two.
• 59:30
  - But early seasons are so bad.
• 59:31
  - When he has sex with the pig.
• 59:34
  - Okay, well, objectively the worst one.
• 59:36
  - It's the first episode.
• 59:37
  - I know, but the worst season two and not,
• 59:39
  like season two to five, I think is amazing.
• 59:43
  But yeah, I think that just, you know,
• 59:46
  if I were to say like, I think that this technology,
• 59:50
  if we use it correctly and regulate it correctly,
• 59:53
  can move us forward.
• 59:55
  - For sure.
• 59:55
  - But, you know, I think that since 1927,
• 59:58
  we've asked ourselves this question rightfully so.
• 1:00:03
  - What makes us human?
• 1:00:04
  What are we willing to risk to move forward?
• 1:00:06
  - Yes.
• 1:00:07
  - And we found a way through the nuclear crisis
• 1:00:11
  and believe in our ability to do the same.
• 1:00:14
  Through this, if we as humanity are able to come together
• 1:00:18
  and meet the moment.
• 1:00:19
  - Yeah, I refuse to die at the hands of a billionaire
• 1:00:22
  just to make a billionaire more rich.
• 1:00:24
  - Yeah. - I can't.
• 1:00:26
  - I won't.
• 1:00:27
  - Yeah.
• 1:00:27
  - So.
• 1:00:28
  - Well, what do you guys think makes a human, a human?
• 1:00:31
  - Yeah, what makes a soul?
• 1:00:32
  - Are you here for the robot uprising?
• 1:00:36
  Have you been nice to your Alexa?
• 1:00:38
  Do you think she will spare you?
• 1:00:40
  I mind good.
• 1:00:41
  I think we're buds.
• 1:00:44
  - It just ignores you.
• 1:00:46
  - Google ignores you.
• 1:00:47
  - That guy hates me.
• 1:00:48
  I don't know why.
• 1:00:49
  (laughs)
• 1:00:50
  - It's probably 'cause I'm asking offensive Japanese terms
• 1:00:53
  to it. - Yeah, I'm a bit of a bitch.
• 1:00:54
  - Do you say “smeg” in Japanese?
• 1:00:56
  And it's like, please stop.
• 1:00:58
  - I don't remember.
• 1:00:59
  - I don't think it would tell me.
• 1:01:00
  - Okay.
• 1:01:01
  - Chat.
• 1:01:02
  - Chat.
• 1:01:03
  - It's science.
• 1:01:04
  - Yah.
• 1:01:05
  - I think that is a wrap on this live in person
• 1:01:08
  episode of Pop Culture Junkie.
• 1:01:10
  Olivia, where can our listeners find you on social media?
• 1:01:13
  - You can find me on Instagram @livymariez
• 1:01:17
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• 1:01:23
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• 1:01:25
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