Speaker 1: Just raise your hand. Once you realize that you're that
Speaker 1: you know that you're talking to a complete idiot. Pasha
Speaker 1: Tosh Show us. Welcome to Toss Show. If you're proud
Speaker 1: to be Latino, stand the fuck up. Go ahead and
Speaker 1: hit me with some of that three oh five music.
Speaker 1: All right, it's a good start, you know, Eddie. I
Speaker 1: have heard through the grapevine that some people don't like
Speaker 1: the production value of our theme song. Now, I may
Speaker 1: shock a lot of you listeners out there, but we
Speaker 1: did not spend a lot of money on the music
Speaker 1: for Toss Show. But I am open to new suggestions,
Speaker 1: but not my uh traditional musicians. No, no, no, this podcast
Speaker 1: is the future of entertainment. So what better than AI
Speaker 1: to create our potential new theme song? Right okay, I
Speaker 1: I hear we've got a few candidates to audition. Let
Speaker 1: me go ahead and hear this first one here.
Speaker 2: You get ready stands?
Speaker 1: That sounds like a train wreck. I don't like that
Speaker 1: one bit.
Speaker 3: It's probably the prompt.
Speaker 1: No, no, there's too many words to listen to. All Right,
Speaker 1: we got another.
Speaker 2: One, yeah, the Barca.
Speaker 1: Lasting we want to know. Now, that's got some energy.
Speaker 1: What I worry about is people listening to this thing
Speaker 1: first thing in the morning, and they're not ready for
Speaker 1: that nickelback rage. That might be too much. We might
Speaker 1: be getting people spilling their coffee. Then we've got a
Speaker 1: lawsuit on our hand. We have any more?
Speaker 3: Here's play's play one more?
Speaker 1: All right? Let me hear another one? Welcome today.
Speaker 2: Here just every day.
Speaker 1: God, that's awful. Here's the thing. AI is not ready.
Speaker 1: I say, we stick with what we've got. That's right. Oh, man,
Speaker 1: I worry about Ai every morning. This is the first
Speaker 1: thing I do. Is AI sleeping with my wife? Is
Speaker 1: AI diddling my kids? Is what I worry about. It's
Speaker 1: just NonStop. Oh but what's AI doing? I was taking
Speaker 1: my dog for a walk that I can get my
Speaker 1: head around, that I would enjoy. Now I'm told, thanks
Speaker 1: to AI, that this podcast is now broadcast in over
Speaker 1: seven thousand languages. And I'm gonna be honest with you,
Speaker 1: I didn't know there were seven thousand languages. Let's see
Speaker 1: what Toss show sounds like in Spanish, Eddie, it's the programs.
Speaker 1: Now that podcast is no longer under the category of comedy.
Speaker 1: That one's under sexy. This is why you can't ever
Speaker 1: be convicted of a crime in this country because you
Speaker 1: just be like, I didn't do that. That was ai,
Speaker 1: Like I never said those words. I don't speak fluent,
Speaker 1: beautiful Spanish. Do you want to hear me speak Chinese? Wherever?
Speaker 1: I try to ease this, Sir Lien Eddie transorg GM Shirsanger,
Speaker 1: Oh man, what I wouldn't get to be able to
Speaker 1: speak whatever beautiful language that was? Speaking of Chinese? I
Speaker 1: just finished watching a showgun which I know is Japanese
Speaker 1: or is They like to say the Japan's but it's
Speaker 1: all under the Asian umbrella, which they like to hold.
Speaker 1: A lot of them like to use umbrellas. This is
Speaker 1: what I wanted. I'm not there's no spoilers. I'm not
Speaker 1: giving any spoilers. Well I will, but it's just just
Speaker 1: episode one that I'm going to talk about. And I
Speaker 1: understand that this is set in that I think the
Speaker 1: sixteen hundreds or something like that, medieval period, and it's
Speaker 1: a different culture, okay, But I like to just play
Speaker 1: it out as if it happened in my life today,
Speaker 1: Like how would that go over? I just liked the
Speaker 1: idea of me coming home from work. So Eddie, you
Speaker 1: can play the role of my wife for this and
Speaker 1: you just say, how was your day, honey?
Speaker 3: How is your day?
Speaker 2: Honey?
Speaker 1: Oh funny you should ask you know how I like
Speaker 1: to uh smart off sometimes at work. Well, I I
Speaker 1: spoke up when I wasn't supposed to. Anyway, We're gonna
Speaker 1: have to kill our children and I have to kill myself.
Speaker 1: Oh so yeah, all right? Well, uh, speaking of AI,
Speaker 1: today's guest a genius, a certified genius, a professor at
Speaker 1: the University of California, Los Angeles. This guy knows everything
Speaker 1: about AI. He's gonna calm my nerves hopefully, or he's
Speaker 1: going to create new worries for me at night. Also,
Speaker 1: I have to I have to mention that this was
Speaker 1: the interview that was recorded that day that Dylan had
Speaker 1: a colossal fuck cup a brain shart heard around the world.
Speaker 1: So there were some audio issues, But the irony is
Speaker 1: that Dylan figured out how to use AI to fix
Speaker 1: his blundering buffoonery. Enjoy Pasha, my guest today, is the
Speaker 1: smartest person we've had on the show, and not just
Speaker 1: because he's a foreigner with four words in his name
Speaker 1: who also happens to have facial hair and wears glasses.
Speaker 1: Please welcome our distinguished guest, AI expert in the UCLA professor.
Speaker 1: He doctor, he professor, he mister he.
Speaker 4: What do you want?
Speaker 3: It's all good, just he is fine.
Speaker 4: Thank you all right?
Speaker 3: He?
Speaker 1: Where are you from? I'm from Belgium, Belgium, Well you've
Speaker 1: been here.
Speaker 3: I moved here in twenty fifteen, citizen, not yet soon
Speaker 3: maybe next year.
Speaker 4: Are you're actually going to do it?
Speaker 3: I think I'm eligible in like a month.
Speaker 1: So congratulations, thank you welcome. Do you like America?
Speaker 3: Yeah? I mean it gave me a lot of opportunities,
Speaker 3: so yeah, I love it here.
Speaker 1: How often do you go back?
Speaker 3: Maybe once or twice a year. It's a long track, yeah, yeah,
Speaker 3: especially with a toddler. It's not so nice to travel
Speaker 3: for like thirteen hours.
Speaker 4: How old you're toddler?
Speaker 3: Three years old?
Speaker 1: And now are you as an academic person? Do you still?
Speaker 1: I mean, can you relate to a toddler? Do ye
Speaker 1: act silly? Are you a silly dad? Oh?
Speaker 3: Yeah?
Speaker 1: Are you strict? No?
Speaker 3: I'm quite silly. I would say. I don't really like
Speaker 3: to be the serious professor too much. It's not my
Speaker 3: style now.
Speaker 1: I mean I feel like the reason I had children
Speaker 1: was because I wanted an excuse not to care so
Speaker 1: much about everything else.
Speaker 3: Yeah, and you cannot imagine before it happens, right, It's
Speaker 3: kind of yeah, like you cannot prepare for this, and
Speaker 3: that's only everything changes. And you know, it's also kind
Speaker 3: of interesting that you kind of you know, you see
Speaker 3: them grow and like learn things, and you're like, oh, yeah,
Speaker 3: this this is different from how AI learns. You know,
Speaker 3: you kind of get some perspective on like what is
Speaker 3: just from seeing a toddler learn how to walk and
Speaker 3: talk and you know all that stuff.
Speaker 1: Right, I just like, like, whatever, the world's going to
Speaker 1: shit and I'm gonna still have to, you know, build
Speaker 1: this horrible lego thing that he just brought. Do you
Speaker 1: believe in ghosts? No?
Speaker 3: Okay, I feel like you asked a friendshow the same question.
Speaker 3: Is that a usual question?
Speaker 1: That's the first question I ask everyone? Do you believe
Speaker 1: in ghosts?
Speaker 4: Not at all?
Speaker 1: Move on? Do you believe in digital ghost or those
Speaker 1: death bots?
Speaker 3: What are those?
Speaker 1: Like some people that have lost someone and then they
Speaker 1: create their like this digital ghost.
Speaker 3: And it's I'm sure it's comforting. It's like watching videos
Speaker 3: and pictures from people.
Speaker 1: Do you think that's a good thing for the psyche
Speaker 1: he has a way to move on.
Speaker 3: Or No, I think it's a bit creepy. I wouldn't
Speaker 3: really enjoy it. I would rather watch a videos from
Speaker 3: ten years ago.
Speaker 1: Yeah, yeah, that's always sad too, just to keep replaying
Speaker 1: that video like John Wick. Uh, why did you leave Belgium,
Speaker 1: a smart country to come a good old delmbo mare?
Speaker 3: Yeah, you know, honestly, no one wanted to give me
Speaker 3: a job as a professor in Belgium, and I had
Speaker 3: to come here as a as an academic refugee.
Speaker 4: What is your actual job.
Speaker 3: I'm a professor of computer science at UCLA and I
Speaker 3: teach AI.
Speaker 1: You teach aim.
Speaker 4: Are you worried that your job will be taken m M?
Speaker 3: I mean the teaching part. I mean the more, the
Speaker 3: more people will help teach EI, the less kind of
Speaker 3: boring stuff I have to do, and the more interesting
Speaker 3: things I can teach that are maybe less off the shelf.
Speaker 3: So I would own mind more. AI help.
Speaker 1: How did you get into computers in the first place?
Speaker 3: I mean, I was a big nerd and still am,
Speaker 3: I guess, and I like to program, I like to
Speaker 3: play computer games, and you know, just like any other
Speaker 3: nerd that' have I started with computers?
Speaker 1: Do you still play the games?
Speaker 3: Yes you did? Yes, Yes, I wish you hadn't asked.
Speaker 4: But yeah, like like you put in real time.
Speaker 3: I have this rule where I, you know, maybe once
Speaker 3: a year I'll spend the weekend like binge playing for
Speaker 3: like and without sleep, just to kind of reset myself.
Speaker 3: And like, you know, I'm not worried too much about
Speaker 3: being a civilized person with a real job. And you know,
Speaker 3: I think everyone needs to do such something every once
Speaker 3: in a while.
Speaker 1: Though, is there a particular game that you care about?
Speaker 3: Lust? When I played was? I played Civilization six? Again,
Speaker 3: I don't know the game strategy games.
Speaker 4: I'm not a game person.
Speaker 1: And my brother, my brother is a game person and
Speaker 1: who is a computer programmer and then created a company
Speaker 1: for gaming and also for the government and then sold it.
Speaker 1: And you know he's that kid very much. Yeah, a
Speaker 1: world that you two would like to meet him, but no, he.
Speaker 4: He I was.
Speaker 1: I told him that I was interviewing and and he
Speaker 1: was like okay, So then he added did a couple things.
Speaker 4: He's like, bring it, bring this up.
Speaker 1: It seems like self driving cars got to eighty percent
Speaker 1: good really quickly, but progress is stalled with getting into
Speaker 1: one hundred percent. Will we see that with AI for
Speaker 1: programming too, like a helpful too but still need someone
Speaker 1: to steer it, or will it quickly get to the
Speaker 1: point that we don't need software engineers.
Speaker 3: Yeah, so I think it's it's kind of a little
Speaker 3: bit of both.
Speaker 1: Right.
Speaker 3: So on the one hand, yeah, like even today, your
Speaker 3: brother is probably already using generative AI to help him program,
Speaker 3: and so that's definitely happening. Whether your brother will be
Speaker 3: completely replaced, I highly doubt it. I think there's you know.
Speaker 1: He didn't have a job now he owns.
Speaker 3: He's just doing it for fun.
Speaker 1: He doesn't like six months cells it does something else.
Speaker 3: I mean those weird if it's kind of this boilerplate
Speaker 3: stuff where it's very similar to what many people have
Speaker 3: done before and it's just like minor tweaks two things.
Speaker 3: And yes, AI is probably going to be able to
Speaker 3: do that because AI is really good at like finding
Speaker 3: similar things and kind of slightly modifying them. But if
Speaker 3: it's actually building like new software that does new things,
Speaker 3: that's going to be much harder for AI to achieve.
Speaker 1: You teach at UCLA. You think it's a bad idea
Speaker 1: that UCLA left the fact well for the Big ten?
Speaker 4: And are you aware of sports?
Speaker 3: I heard this is a big deal in the way
Speaker 3: in the real world. Yes, I heard about it. I
Speaker 3: don't know. I am sure you say it only makes
Speaker 3: good decisions like hiring me and moving to the back
Speaker 3: twelve or whatever it is.
Speaker 1: Do you ever have Alonzo Ball in one of your classes?
Speaker 3: Who is that?
Speaker 1: He was a basketball player? I'm sorry, popular a few
Speaker 1: years ago.
Speaker 3: We get student athletes in class all the time, so
Speaker 3: but I don't really I don't know that.
Speaker 4: Are you told it? Hey?
Speaker 3: No, definitely not.
Speaker 1: Subtle debate for us here? Who is the father of
Speaker 1: artificial intelligence? Alan Turning or John McCarthy.
Speaker 3: So Alan Turing was he was kind of the father
Speaker 3: of computer science, and he already said like, let's build
Speaker 3: a computer that can play chess. So in that sense,
Speaker 3: during is kind of the first. But then McCarty was
Speaker 3: the one that called it AI and really kind of
Speaker 3: started the field of AI. So I think they put
Speaker 3: good credits.
Speaker 4: Okay, well, I want you to know that there was
Speaker 4: no debate here.
Speaker 1: I'll pose my question to make you feel like you
Speaker 1: were among academics. But nothing could be first.
Speaker 3: I mean, your question was great except you said turning
Speaker 3: instead of touring.
Speaker 4: Yeah, that was the giveaway.
Speaker 1: God damn it.
Speaker 3: Yeah, you should read these cards before.
Speaker 1: You think I didn't read it. Well, then you're extremely dumb.
Speaker 4: I stew over these things.
Speaker 1: By the way, Yeah, when's the last time we took
Speaker 1: a hearing test?
Speaker 3: Do you think I have a problem? No?
Speaker 1: Never, Okay, No, it's like my kid just took a
Speaker 1: hear It doesn't like you just have to raise your
Speaker 1: hand and I just want you to u during this
Speaker 1: in just raise your hand once you realize that you're
Speaker 1: that you know that you're talking to a complete idiot.
Speaker 3: No, No, I don't believe in that.
Speaker 1: You don't believe.
Speaker 4: You don't believe though.
Speaker 3: I mean, I'm also an idiot, you know.
Speaker 4: No, not true.
Speaker 1: What are some of the real dangers of AI because
Speaker 1: you're not a doom and gloom guy with it?
Speaker 3: No, I don't like all the scary stuff a guy
Speaker 3: is going to take over in the world and like
Speaker 3: terminator will walk into this room and all of that stuff.
Speaker 3: I think, you know, I appreciate that some people seriously
Speaker 3: studied is like as a long term problem of like
Speaker 3: how do we make AI behave the way we wanted
Speaker 3: to behave? But I think what I'm much more concerned
Speaker 3: about is like, today AI is doing pretty bad things already,
Speaker 3: and you know, if you care too much about this
Speaker 3: kind of terminator sci fi AI taking over the world,
Speaker 3: and I think you're also kind of ignoring the real
Speaker 3: dangers today.
Speaker 1: And the real dangers are just believing everything that's put
Speaker 1: out part.
Speaker 3: Of you, yeah, thinking that somehow, because AI is intelligent,
Speaker 3: it knows how to make decisions that are good for
Speaker 3: all of us. Well, these systems are full of biases,
Speaker 3: and you know, AI is constantly also being used to
Speaker 3: you know, track people, to even build kind of automated weapons.
Speaker 3: AI is being used in many ways today that are
Speaker 3: quite dangerous already, and that's what I'm more concerned about.
Speaker 4: Well, yeah, that does sound worrisome. Now now I'm back
Speaker 4: on the doom and gloom. I thought you maybe feel
Speaker 4: better about that.
Speaker 3: No, but I mean, there's drones flying around and you
Speaker 3: can tell them find Daniel Tosh and shoot at Daniel Tosch.
Speaker 3: This is very doable and so sorry, sorry. We can
Speaker 3: cut if.
Speaker 1: I see a which if I see a drone in
Speaker 1: my property. My instinct is to get a sling shot out,
Speaker 1: But now I think that might not be good enough.
Speaker 3: Yeah, I should should move closer to an airport where
Speaker 3: you cannot have drones.
Speaker 1: Just closer to an airport, yea, Oh, I'd rather be
Speaker 1: shot at. How advanced is the cutting edge of this
Speaker 1: technology compared to what the public is aware of? Oh?
Speaker 3: I think the public is aware of the cutting edge.
Speaker 3: Anyone who has something new desperately wants to put out
Speaker 3: a press release, show the world make money.
Speaker 1: Yeah, all right, so there's nothing behind the scenes that's
Speaker 1: way scarier than what I mean.
Speaker 3: Some of these model stick a while to train, Like
Speaker 3: I'm sure Open the Eye is training the next GPT
Speaker 3: and it's probably impressive and they know it, but they're
Speaker 3: not ready to release it yet. But as soon as
Speaker 3: they can, I'm sure they will.
Speaker 1: Isn't the greatest sart of computer learning, not artificial intelligence,
Speaker 1: but rather human stupidity. Most people believe what they're told
Speaker 1: because nobody reads or bothers to you.
Speaker 3: Yeah, it's all it's all the magical thinking, right. People
Speaker 3: think this is magic, that it knows everything, that it
Speaker 3: can make perfect decisions for everyone. Then I think this
Speaker 3: happened before, like in the nineties, when AI started to
Speaker 3: beat world champion at chess, you could be like, okay,
Speaker 3: we're done, right, Like this is chess for in the West,
Speaker 3: for thousands of years has been the game where you
Speaker 3: prove you're intelligent, and if AI can do that, then
Speaker 3: we're done. But it turned out that after that there
Speaker 3: wasn't really all that much more that AI could do,
Speaker 3: even though this was really impressive, and so this happens
Speaker 3: over and over again. Right at some point, AI beats
Speaker 3: the world champion at a game of Go, which is
Speaker 3: much harder than chess. It's kind of the hardest board
Speaker 3: game you can play.
Speaker 1: Go is the hardest board game.
Speaker 3: I don't know, I'm not an expert, but yeah, it's
Speaker 3: it's like this, it's I think you can think of
Speaker 3: it as like an East Asian kind of variant.
Speaker 1: Is enjoyables and an enjoy fun game to play.
Speaker 3: I tried. It's way too complicated for me to enjoy.
Speaker 3: So yeah, but some people really love it, and you
Speaker 3: know once you once you beat that, you're like, okay,
Speaker 3: there's no more harder game where humans are better than Ai.
Speaker 3: And then you're like, oh, maybe poker, like we're good
Speaker 3: at bluffing and reading people. AI starts to beat the
Speaker 3: world champions at poker.
Speaker 4: Too many monkeys? Do you ever play that?
Speaker 1: Now?
Speaker 3: What's that?
Speaker 1: What's a card game?
Speaker 4: Okay?
Speaker 1: With your daughter, you'll love it? Uh huh? Can she
Speaker 1: count to six yet?
Speaker 4: Yes, then you're in. That'sky neat.
Speaker 3: Yeah. Yeah, we'll try. I'll look it up.
Speaker 1: How come AI can't come up with something where they
Speaker 1: can click on photos of bicycles or say I am
Speaker 1: not a robot.
Speaker 3: I don't think these things work anymore? Really, like AI
Speaker 3: is able to crack all of these they keep changing
Speaker 3: them all the time, just to make sure that, you know,
Speaker 3: someone who's building the eye for the previous thing has
Speaker 3: to spend some time building in the ie for the
Speaker 3: next thing. That's why they keep changing all the time.
Speaker 3: But I wouldn't really trust them.
Speaker 4: To be so that's not going to save me.
Speaker 3: Yeah.
Speaker 1: Can you walk me through a plausible doomsday scenario where
Speaker 1: the machines take over and I'm locked out of my rivian?
Speaker 3: I mean plausible? No, I mean I'm sure your car
Speaker 3: can break down. I think your riving or your test
Speaker 3: level today already misbehave and not open its doors, has
Speaker 3: nothing to do with AI, right, These things are just
Speaker 3: not robust.
Speaker 1: That's Do you have a smart home?
Speaker 3: Not really? I have like a Google Assistant too, because
Speaker 3: my toddler keeps requesting music, so I don't really want
Speaker 3: to like kick on my phone. I just like, please
Speaker 3: play this music. So that's my only use case for AI.
Speaker 1: Really, are you into all of that tech stuff or not?
Speaker 4: Necessarily?
Speaker 3: I find most of it just makes my life harder.
Speaker 3: I mean there were ads for like Siri and these
Speaker 3: types of assistance ten years ago that claims, oh, they
Speaker 3: will plan your trips, they will do this, they will
Speaker 3: do that. In the end, they never understand what I say,
Speaker 3: maybe because I have an accent, and it's just like
Speaker 3: there's a few things I know I can ask everything
Speaker 3: else I'm just not even trying anymore.
Speaker 1: I always think of like these guys that that create
Speaker 1: these billionaires, these tech guys that create these safe bunkers
Speaker 1: or whatever, and there's so much tech in these homes.
Speaker 1: I'm like, unless the day they're finished, the doomsday happens
Speaker 1: and they move in then, but if it sits for
Speaker 1: ten years.
Speaker 3: Yeah, they things going to work. They need some tech
Speaker 3: support in their bunker.
Speaker 1: Because I can't get my lights to turn on half
Speaker 1: the time with my crestraw on app. So I'm just
Speaker 1: I'm just loving that Mark Zuckerberg thinks his entire Hawaiian island.
Speaker 4: Is going to work.
Speaker 1: I really just want to know that ten years after
Speaker 1: I die, my kids still have it good for a
Speaker 1: few more years and then past that.
Speaker 4: I don't really care.
Speaker 3: Yeah, I think you're fine. Also, I'm like not a
Speaker 3: fortune teller, right, so, like, I think your opinion is
Speaker 3: just as valid as mine on like the future of AI.
Speaker 4: Honestly, yeah, true, no way my opinion.
Speaker 3: I mean something about what you said earlier of like
Speaker 3: you know, think of like music, right, Like you can
Speaker 3: ask an Ai to day like give me another song
Speaker 3: that sounds like Kanye right like or whatever. Like that's
Speaker 3: pretty easy actually because there's a lot of style already
Speaker 3: there and you just do something in a similar style.
Speaker 3: If you ask AI to invent jazz or rap music
Speaker 3: or something that's completely different, that's really what it struggles with,
Speaker 3: and we don't really have an idea of how to
Speaker 3: do that. So AI is really good at like more
Speaker 3: of the same. It's it's not so good as like
Speaker 3: do something fresh and so I don't know how you
Speaker 3: think about your own comedy, but if you think you're
Speaker 3: different from all the other comedians, you're probably fine.
Speaker 4: I'm not. I am not that different. Oh all right,
Speaker 4: well whatever.
Speaker 1: Do you have any creepy stories about how big data
Speaker 1: knows people better than they know themselves.
Speaker 3: I'm sure it happens all the time where people you
Speaker 3: know are outed for you know, being pregnant or you
Speaker 3: know whatever, just by you know, someone in their home
Speaker 3: with the same IP searching for something.
Speaker 4: Right.
Speaker 3: I think this happens all the time. Yeah, I figures
Speaker 3: things out pretty quickly. I don't know. I always see
Speaker 3: the same ads on Instagram, and they're always like something
Speaker 3: that I searched on some other websites. So I really
Speaker 3: feel like all the companies know exactly.
Speaker 1: Do you have a burner phone? No?
Speaker 3: Do you have one?
Speaker 5: No?
Speaker 1: I'm not somebody that ever. I don't do things that
Speaker 1: matter like there's my wife. I'm never trying to keep
Speaker 1: anything from anyone. If somebody, if Big Brother looked in
Speaker 1: on me, they would just be like, oh, that is
Speaker 1: horribly unimpressive.
Speaker 4: Yeah.
Speaker 3: I mean the problem for me is I grew up
Speaker 3: in this generation like early two thousands, the Internet was
Speaker 3: only good and by just doing more on the Internet
Speaker 3: and making everything open, we would change the world and
Speaker 3: everything would be connected and better. And then like ten
Speaker 3: years later we realized, oh, and that's not actually what's
Speaker 3: happening with the Internet. But I feel like all my
Speaker 3: information is out there already, so like, what more do
Speaker 3: I save?
Speaker 4: Just porn?
Speaker 1: All the internet did flooded us with porn.
Speaker 3: So yeah, I don't want to get in trouble here
Speaker 3: because one of my colleagues in my department at UCLE
Speaker 3: actually invented the Internet, so I cannot really says it's
Speaker 3: a negative thing.
Speaker 4: I think, you know, come an out, gore.
Speaker 1: Sure does it matter whether or not I accept cookies
Speaker 1: on a website?
Speaker 3: It doesn't matter. You'll be tracked anyway.
Speaker 1: So I should just always say accept all.
Speaker 3: I always do you do?
Speaker 4: Yeah?
Speaker 1: I like to get the other one where it's like, oh,
Speaker 1: just the selected ones that I like, go through and
Speaker 1: I start.
Speaker 3: It just makes your life harder for no good reason,
Speaker 3: So just.
Speaker 1: Accept them all and move on. Can you read the
Speaker 1: titles of your books?
Speaker 3: Oh?
Speaker 4: No? Please?
Speaker 3: Which ones did you find here?
Speaker 1: The introduction to lied probabilistic interference inference, well, part of
Speaker 1: the neural information processing series, and what's this?
Speaker 4: Other one was the query.
Speaker 3: Processing and on prolistic data.
Speaker 4: Yeah, does sound fine?
Speaker 1: Yeah, oh man, I'd love to recommend those to my
Speaker 1: wife's book club.
Speaker 3: Yeah, so you invited me to this podcast based on
Speaker 3: reading those books.
Speaker 1: There is no way I could read those books.
Speaker 3: Yeah, the titles sound fancy, but those things are not
Speaker 3: even really what's the current AI? What current II is doing?
Speaker 3: The current AI is actually really simple. That the techniques
Speaker 3: that actually worked turned out to be way more boring
Speaker 3: and less like technically fancy than what we thought would
Speaker 3: be necessary to build AI. And that's also something that
Speaker 3: puzzles the community, like how how are all the simple
Speaker 3: dumb things working really well? And like all the clever
Speaker 3: things don't really work. It's very confusing.
Speaker 1: If AI is so intelligent, how come they can't figure
Speaker 1: out that I'm not trying to type duck all the time,
Speaker 1: I swear constantly. You think it would pick up on
Speaker 1: this at some point?
Speaker 3: Yeah, I share your frustration. So here's the thing, right,
Speaker 3: So the AI is really impressive, Like these language molds
Speaker 3: are really good at actually giving you answers that are
Speaker 3: really clever. But then if you actually want to integrate
Speaker 3: this technology into everything, you need to like engineer a
Speaker 3: whole bunch of stuff that somehow people are not able
Speaker 3: to do in a way that I'm happy with. Either.
Speaker 3: Part of the problem is like who's going to actually
Speaker 3: build this stuff? Like an AI engineer is so expensive
Speaker 3: for these companies, and they're all just trying to build
Speaker 3: the next chatchpt to have a nice big press release
Speaker 3: about it. But to kind of do the dirty work
Speaker 3: of actually integrating all this stuff with all their services
Speaker 3: and so on, that's actually quite complicated and expensive, And
Speaker 3: you know, I think that's why we're not actually getting
Speaker 3: the functionality we want for things we use all the time.
Speaker 1: How do you think we regulate AI? Because if we're
Speaker 1: expecting these geriatric dipshits and con risks to wrap their
Speaker 1: heads around this.
Speaker 3: I mean it's complicated, right, because I think everyone's confused.
Speaker 3: I think the problem is not even them, right if
Speaker 3: you ask a lawyer who studies AI regulation, even they,
Speaker 3: I think don't really know what is going to happen here.
Speaker 3: Like AI companies are using everyone's data. They're probably like
Speaker 3: watching this video and putting it as training data into
Speaker 3: some video AI model, and the problem is that the
Speaker 3: regulation is not super clear about what is fair use
Speaker 3: of all this data, Like, obviously you have your copyright
Speaker 3: for everything you do, but then somehow companies are still
Speaker 3: using it, assuming that if they do it at a
Speaker 3: big enough scale they can somehow get away with it.
Speaker 3: And then for people like me, it seems obvious that
Speaker 3: this should not be legal in a commercial setting. But
Speaker 3: then some lawyers are like, no, this seems like fair
Speaker 3: use because it's kind of like a child learning and
Speaker 3: then making fresh content afterwards, and that is allowed. And
Speaker 3: I think someone will figure this out, but it's I
Speaker 3: don't think it's clear right now what is legal. And
Speaker 3: that's just for the copyright issue. There's also just like
Speaker 3: safety stuff, and I think something should really be banned,
Speaker 3: like you know, using AI to look at people's resumes
Speaker 3: to decide who gets hired or filtered. I think that's
Speaker 3: obviously wrong. Those tools can never really do a good
Speaker 3: job and be fair.
Speaker 1: Yeah, but interviews are awful. He ANDed me interview somebody.
Speaker 1: It's just it's who's the best liar performer?
Speaker 4: To my face?
Speaker 3: Sure, sure, but then what's a I gonna do. It's
Speaker 3: gonna be like, oh, hire all people named Daniel, or
Speaker 3: you know, like.
Speaker 4: Episode good start. Now I'm bored.
Speaker 3: I feel like you could do a podcast just interviewing
Speaker 3: other Daniels, Right, so.
Speaker 1: That's not a bad idea.
Speaker 3: Steal that Daniel and Daniel.
Speaker 1: There's a horrific AI generated video of Will Smith eating noodles?
Speaker 1: Does AI have a problem with Will Smith? And do
Speaker 1: you think it stems from the movie I Robot?
Speaker 4: No.
Speaker 3: I've seen that video though, and it gets better every year. Right,
Speaker 3: there's like the early version which is just chaos, and
Speaker 3: recently it starts to look pretty good.
Speaker 1: Yeah, it's figuring in nice learning. Did you ever look
Speaker 1: at those AI explicit photos of Taylor Swift?
Speaker 4: No?
Speaker 3: Did you never?
Speaker 1: Are you worried about deep fakes all that stuff?
Speaker 3: Especially in politics? I think that's a problem.
Speaker 1: Do you think of politics in our country?
Speaker 4: You enjoyed it?
Speaker 1: Is it maddening?
Speaker 3: Yeah? It was very like I moved here in twenty fifteen, right,
Speaker 3: and the world changed very quickly after that. I felt
Speaker 3: like this was kind of a bait and switch, like, yeah,
Speaker 3: come to America, it's great, and then I still love
Speaker 3: it here. I don't want to get in trouble here. Right,
Speaker 3: I love it here.
Speaker 1: Do you think America is the greatest country in the world.
Speaker 4: Yeah? Yeah.
Speaker 3: I mean I'll say one thing positive, which is so
Speaker 3: I'm from Belgium, my wife is from Bosnia. We cannot
Speaker 3: really live anywhere where not one of us is a foreigner, right,
Speaker 3: except in California. I feel like we're both here and
Speaker 3: no one cares that we have an accent, and we
Speaker 3: really feel like we're both at home. Right. So I
Speaker 3: think that's really beautiful about California and the US more.
Speaker 1: Generally, let's just say just California.
Speaker 4: Let's be honest.
Speaker 1: I brought you two into a few different markets and
Speaker 1: you'd feel very differently. Is California the only place that
Speaker 1: you've lived in the United States?
Speaker 3: Yes? In the United States?
Speaker 1: Yes? Have you visited the whole country?
Speaker 3: I mean, so the thing is in my field, like
Speaker 3: we have these conferences where everyone meets to talk about
Speaker 3: AI and it's always in some the same kind of
Speaker 3: Hilton or Sheraton or whatever hotel in some random city.
Speaker 3: So I have seen all the hotels in all the cities.
Speaker 3: I wouldn't really say that I've seen the country that much.
Speaker 3: I mean, I love to travel around California, and you
Speaker 3: know whatever, but.
Speaker 1: California is its own country. You've seen enough. Who is
Speaker 1: the most famous Belgian beside yourself?
Speaker 3: Jean Clotland, Jean Claude van Damp.
Speaker 1: Did you like him growing up?
Speaker 3: Yeah? I mean in the nineties I was a teenager,
Speaker 3: so yeah, I loved the action movies.
Speaker 1: Yeah, all right, Who's got better chocolate?
Speaker 4: The Swiss?
Speaker 3: Belgium?
Speaker 1: Of course? I mean are you sure about that?
Speaker 5: Mean?
Speaker 3: I cannot Even if I thought differently, I couldn't tell
Speaker 3: you on this podcast. Like there's certain things I'm not
Speaker 3: allowed to say.
Speaker 1: Do you miss your waffles or no?
Speaker 3: So waffles is only for tourists. Really, waffles are not
Speaker 3: a big deal in Belgium. Yeah. So chocolate is real,
Speaker 3: beer is definitely real. Waffles are mostly for you guys.
Speaker 1: Oh, we appreciate it. By the way, How do you
Speaker 1: have your when you occasionally you've had a waffle, how
Speaker 1: do you have Do you have it with syrup?
Speaker 4: With cream?
Speaker 1: Fruit? Never?
Speaker 4: Never?
Speaker 3: I never have waffles ever. I like a like a
Speaker 3: French crep, like a pancake.
Speaker 1: That's my I don't have a French crete machine. I
Speaker 1: brought you a waffle machine.
Speaker 3: I'll oh no, oh no, you were serious about getting
Speaker 3: me a waffle maker.
Speaker 1: But it's little cars and truck oh, different things.
Speaker 4: Yeah, my daughter will love this, love love waffle maker.
Speaker 3: Thank you.
Speaker 4: Okay. Yeah, I don't know why I have that.
Speaker 3: Feels mildly offended.
Speaker 1: But you know, is that offensive to give you a
Speaker 1: wall of making No?
Speaker 3: No, no, it's okay. I actually would like one. I
Speaker 3: don't think we have one, so I'll take it. I'll
Speaker 3: take it.
Speaker 1: Yeah, and then the next get I got you. I
Speaker 1: love board games and I know that you know, you
Speaker 1: played chess and stuff, so this is a but I
Speaker 1: don't like this game and I never got into it.
Speaker 1: Everybody buys me games because they're visually pretty. What is
Speaker 1: this a trio? Oh?
Speaker 4: Trio O trio.
Speaker 1: Okay, but it's like a pretty game.
Speaker 3: Oh yeah, I could put this.
Speaker 1: Uh, and it's got pretty pieces they go into it.
Speaker 3: But it's like a decorative item. This looks cool.
Speaker 4: Thank you.
Speaker 1: Well, yeah, I'm just like I'm gonna play this game.
Speaker 1: It's not my game, Okay.
Speaker 4: I stick with my rummy cub. Thank you, cube? What
Speaker 4: do you call it? Cube? But I forget.
Speaker 3: Don't ask me. I don't speak your language.
Speaker 4: How many languages can you speak?
Speaker 3: Speak Dutch, French, English, a little bit of German.
Speaker 1: I was born in Germany.
Speaker 3: I actually learned. Yeah, I watched your interview with the Schiff.
Speaker 3: You were in bull Parks, you said in that song.
Speaker 3: I was actually there.
Speaker 1: We were in both part.
Speaker 3: Yeah, yeah, so what happened. There was a workshop for
Speaker 3: people to discuss AI in this weird hotel castle. It's
Speaker 3: owned by the guy who invented gummy bears, harrybo gummy bears.
Speaker 3: So we were just there talking about AI and then
Speaker 3: you know, they were just gummy bears everywhere, and like
Speaker 3: everyone's getting sick, sick eating gummy bears off the table,
Speaker 3: and yeah, so that's why I was in both parts.
Speaker 3: We have a lot of get togethers in German castles
Speaker 3: in the middle of nowhere to discuss about AI.
Speaker 1: It's the thing that is the greatest thing you've ever said.
Speaker 1: He's in a German castle eating gummy bears.
Speaker 3: In Beau part with like, what are these animals that
Speaker 3: get hunted and stuffed and then put on the wall
Speaker 3: like a rhino an elephant?
Speaker 1: You ever shot a gun in your life?
Speaker 3: No, I don't really want to.
Speaker 1: I've never shot one either.
Speaker 3: No, No, I had the opportunity. I was in Vietnam
Speaker 3: and they're like, here for one dollar, shoot this machine gun.
Speaker 1: I'm like, no, thank you, you served in Vietnam.
Speaker 3: Yeah, I did.
Speaker 4: Thanks appreciate that.
Speaker 1: Yeah, I wasnting funny when Hollywood tried to guess the
Speaker 1: future in movies and you're like, oh, this is such
Speaker 1: a bad attempt. You can't predict and it just looks
Speaker 1: so bad.
Speaker 3: Yeah.
Speaker 1: Do they ever come calling like, hey, we're trying to
Speaker 1: figure something out.
Speaker 3: No, because I'm not like a futurist, right, Like imagining
Speaker 3: interesting future world is not really my job.
Speaker 1: What's your what's your favorite AI movie?
Speaker 4: Yeah?
Speaker 3: I knew you were going to ask it, and I
Speaker 3: don't really have one. What I really like? I really
Speaker 3: enjoyed the first season of West World, which is not
Speaker 3: a movie of course, like the TV series it so mad.
Speaker 3: I started like thinking, am I a robot? Like they
Speaker 3: really did? I watched too many episodes in a row,
Speaker 3: but like it really got to me.
Speaker 1: But it fell off the rails and the following season yeah, yeah,
Speaker 1: a little bit. I want to closure in season one.
Speaker 1: They won't ever do that with a good show. Just
Speaker 1: one season, just figured out, and.
Speaker 3: I mean, this is an American thing. In Europe everything
Speaker 3: ends after two seasons. And I'm like, okay, done, let's
Speaker 3: not ruin it.
Speaker 1: Not everything in your great British Bakoff's been going for
Speaker 1: a hundred years. Do you like that show or no?
Speaker 3: I do watch I watch all of it.
Speaker 1: Yeah, it's very enjoyable.
Speaker 3: Yeah, I'm waiting for you to give me a handshake.
Speaker 1: Oh, just reach across.
Speaker 3: I haven't earned it yet.
Speaker 4: Your your wife, you're married? Yeah?
Speaker 1: Is she smart too?
Speaker 3: She's very smart. She's she's smarter than me for sure.
Speaker 4: Yeah.
Speaker 1: Okay, is she really smarter than you?
Speaker 4: Is that something?
Speaker 3: It's obvious we play board games. She wouldn't every single time,
Speaker 3: Like it's not even a competition.
Speaker 1: What if she's a cheater? Do you think there's a possibility.
Speaker 3: No, no, no, she would be No, no, she she's
Speaker 3: very principled. Yeah, much more than I am.
Speaker 4: Yeah, both you to take IQ tests.
Speaker 1: Okay, that's what Eddie and his wife did. Eddie and
Speaker 1: I did an IQ test. Do you do you know
Speaker 1: what your IQ is? No?
Speaker 3: I never wanted to do with this.
Speaker 1: Eddie and I did it.
Speaker 3: Yeah, what was it?
Speaker 1: Well, he was smarter than me, and that's all that
Speaker 1: I cared.
Speaker 4: About, and I was upset.
Speaker 3: Were you were you hired in one hundred?
Speaker 1: What you were? Yeah? We were in hundreds? Were you
Speaker 1: one hundred and thirty thirty one thirty one?
Speaker 3: I think you were one twenty nine and Megan was
Speaker 3: one twenty seven.
Speaker 4: Smarter than as White. That's that's that's I'll take that, notch.
Speaker 3: I mean, I remember in high school, like everyone was
Speaker 3: doing these tests for being like gifted children, and so
Speaker 3: when I felt like whenever someone was like diagnosed as gifted,
Speaker 3: it kind of messed them up in a way. And
Speaker 3: I was like, yeah, I don't really need to do
Speaker 3: you like knowing everything depends not really.
Speaker 1: Okay, are you teaching now?
Speaker 4: Are you a professor?
Speaker 1: Undergrad or graduate?
Speaker 4: So both?
Speaker 3: So I teach undergraduate one court or the other courter
Speaker 3: graduate students, But most of my job is actually research.
Speaker 1: Are allowed audit classes?
Speaker 3: Oh yeah, of course. Yeah, just to come over. You
Speaker 3: can even know the exam. I'll grade your exam for you.
Speaker 3: You don't have to pay tuition.
Speaker 4: No, I still have nightmares about that I didn't finish college.
Speaker 3: I had those for a long time. Now it's like
Speaker 3: now that I'm a professor. I'm afraid that I'm not
Speaker 3: showing up for the exam, that I'm organizing myself, like
Speaker 3: I oversleep or like it changes. But yeah, those nightmares
Speaker 3: are still.
Speaker 2: There.
Speaker 1: Are kids using AI constantly to cheat in your classes?
Speaker 3: Uh yeah, I think it happens a lot. But because
Speaker 3: a lot of stuff I do is just matt it's
Speaker 3: kind of harder to cheat. But I think if you
Speaker 3: have to kind of write things and kind of do
Speaker 3: more creative work, I think it's much easier to cheat.
Speaker 1: Is cheating something that you care about as a professor.
Speaker 3: I mean, in the end, I only care if people
Speaker 3: learn something. If they somehow cheat and still learn something,
Speaker 3: I guess I'm fine with it. But it's just the
Speaker 3: fairness of it, that's you know. I feel like it's
Speaker 3: my job do.
Speaker 1: The old school just looking at somebody else's.
Speaker 3: Oh yeah that happens still.
Speaker 1: And still happens.
Speaker 4: Yeah, yeah, yeah, that's good. Yeah yeah yeah.
Speaker 1: I just well, I was like, oh, I don't even
Speaker 1: know what I would do anymore.
Speaker 4: I'd be so scared. In college. When will you have tenure?
Speaker 4: How long?
Speaker 2: Oh?
Speaker 3: I got it four years ago?
Speaker 1: Yeah? Would you ever go to a different school or
Speaker 1: do you think you're gonna.
Speaker 3: No, I don't think I would want to move. I
Speaker 3: really like it here. Also, living in LA I feel
Speaker 3: really lucky. If you're going to be a professor in
Speaker 3: your field, usually don't get to choose where you live,
Speaker 3: and you typically end up somewhere in the middle of
Speaker 3: nowhere or some other country. And I'm just really lucky
Speaker 3: that I'm in LA which is somehow the best place
Speaker 3: to live.
Speaker 1: During this mass exodus that they always talk about if
Speaker 1: people believing California.
Speaker 3: Do you actually know anyone who left? I feel like
Speaker 3: this is something I only read about on Twitter from
Speaker 3: people from Texas. I don't know, I've never actually seen
Speaker 3: this happen.
Speaker 1: Well, I looked at just actual numbers, and they like
Speaker 1: talk about like, oh like one hundred thousand people moved
Speaker 1: to Texas and forty thousand people from Texas moved to California.
Speaker 1: But the one thing that I enjoyed was just that
Speaker 1: highly educating people are still flooding to the state of California.
Speaker 1: So I'll take it.
Speaker 4: Yeah.
Speaker 3: I mean also at UCLA, I think we're lucky. One
Speaker 3: of the reasons I love to work here at UCLA
Speaker 3: is because we get people from all over the world
Speaker 3: that want to come here to do research and science
Speaker 3: and engineering, and so you know, it's still kind of
Speaker 3: displeased that everyone wants to go to and that's just
Speaker 3: you know, if we get good students, that makes my
Speaker 3: life so much easier. I'm a little lazy. I don't
Speaker 3: really want to think too hard. But then if the
Speaker 3: smart students come and work with me, then makes my
Speaker 3: life very easy.
Speaker 1: The campus of UCLA has always confused me. It's a
Speaker 1: just smick dab in the middle of like of a city.
Speaker 4: It's just so weird.
Speaker 3: It's like between the Playboy mentioned and bel Air and
Speaker 3: Beverly Hills and yeah, it's like crazy.
Speaker 1: Do you have a drive around UCLA's campus.
Speaker 4: Oh yeah, yeah, beautiful.
Speaker 1: It's beautiful, right, but it's just so weird. It's like, oh,
Speaker 1: I was just on Wilshire five seconds ago, and now
Speaker 1: here I am watching kids with backpacks, like have a
Speaker 1: college experience that is unlike anything else.
Speaker 3: I'll give you a campus store and show you, show
Speaker 3: you around whenever you're around.
Speaker 4: I appreciate that.
Speaker 1: What's the big difference between living in Belgium and living
Speaker 1: in Los Angeles, California?
Speaker 3: I mean, there's a good in the bed. So the
Speaker 3: good is that it's like everything's so convenient here. The
Speaker 3: bad thing is that in Belgium everyone's kind of equally
Speaker 3: rich and poor, so you don't really feel bad about what,
Speaker 3: you know, differences in wealth, and here it's kind of
Speaker 3: crazy and uncomfortable.
Speaker 1: Well that's why you just you stay in your lane.
Speaker 1: So go to those those nights areas. That's why U
Speaker 1: see La is a bad place. Oh yeah, so close
Speaker 1: to insane.
Speaker 3: Well I moved south because I'm like this is depressing
Speaker 3: everyone so rich here?
Speaker 1: Yeah, agreed?
Speaker 4: How far south did you go?
Speaker 3: I live right here in Marvista.
Speaker 4: Okay, yeah, you ever go to a Dodgers game? Never been?
Speaker 1: Do you understand baseball?
Speaker 3: Not really? But I do. I do really enjoy even
Speaker 3: if I don't understand the sport. I like the American
Speaker 3: entertainment in these stadiums, Like it's very different from Europe.
Speaker 3: In Europe you're like standing in the colt, nothing happens,
Speaker 3: but the game here it's like a big like Disneyland circus.
Speaker 1: I love it.
Speaker 3: It's just fun.
Speaker 1: I mean a Dodger game, then nothing's better than going
Speaker 1: to a Dodger game. It's just so fun, so pretty.
Speaker 1: I only and I'm one of those real real fans,
Speaker 1: like La fans, where I just go once a year
Speaker 1: and I go for like the second inning to the
Speaker 1: fifth inning. Then I just leave right in the middle.
Speaker 3: Did you ever ask you to do like the pitch
Speaker 3: the yeah? Aren't you like eligible for that as a celebrity?
Speaker 3: I feel.
Speaker 1: They have never They've never asked. One time they had
Speaker 1: given me free tickets and they revoked them because like
Speaker 1: that week I said something horrible.
Speaker 3: Oh you're a little bit too.
Speaker 4: Yah.
Speaker 1: But I would like to throw on a first pitch, man,
Speaker 1: I would put some smoke on that. Dodgers, won't you
Speaker 1: give me a ring? See if I'll throw out a
Speaker 1: first pitch?
Speaker 3: Invite me when it happens.
Speaker 4: Do I have to get like your whole family?
Speaker 3: And no?
Speaker 4: Okay, they don't care. They don't care. Well, he, I
Speaker 4: appreciate you being here again. Thank you very much.
Speaker 3: Thank you.
Speaker 4: Okay, take care, have very soft hands, do I?
Speaker 1: Yeah, Pasha, all right, I want to thank Professor he
Speaker 1: von Denbruch for being on the show. We learned so much.
Speaker 1: And I'll be honest with you. I didn't notice any
Speaker 1: audio glitches. Good job, Dylan. Speaking of AI, I've been dabbling.
Speaker 1: I don't know if you guys watched. It was last
Speaker 1: week Game two in Boston, the Miami Heat versus the Celtics.
Speaker 1: You know how they on the on the floors now
Speaker 1: they're putting ads. Well, I hacked it. And guess what,
Speaker 1: had a little fun with the people in Boston. Only
Speaker 1: if you if you're white. It was only up for
Speaker 1: a few seconds. That's just that's just funny, right there,
Speaker 1: Paul Piers and his dirty shorts needing a wheelchair. They
Speaker 1: you know, I only had a small window to hack
Speaker 1: the system. I got in one more time, as is
Speaker 1: what I put up. Ah the catch, Oh it stings deep, Carl.
Speaker 1: You see who's here. Ava. Ava is a Now some
Speaker 1: people may remember Ava from Tosh point zero. She looks
Speaker 1: a little different. Okay, she's very old, she's got a
Speaker 1: lot of dementia. She gets very startled, very easy. No
Speaker 1: matter what you do. You're sneaking up on her, which
Speaker 1: is good when you have little kids, because they just
Speaker 1: walk up to her and smash her in the head.
Speaker 1: And she's like, what's going on? This is my life?
Speaker 1: What does it become? All Right? We got some plugs,
Speaker 1: Carl boyswearpink dot com. Check out our charitable clothing line
Speaker 1: for toddlers. I'm almost at a break even point with
Speaker 1: that company. That's an exciting milestone. The Goat. Big news
Speaker 1: about The Goat now May ninth is when it premieres.
Speaker 1: They're gonna drop three episodes at once. But now they
Speaker 1: told me on YouTube only May second, they will drop
Speaker 1: the first episode. So a week earlier than the premiere
Speaker 1: is one episode, but then a week later May ninth,
Speaker 1: on the premiere, there'll be three episodes available. So let's
Speaker 1: go ahead, and let's go Carl, let's run that back.
Speaker 1: The Goat premierees May ninth, but on May second, you
Speaker 1: can watch the first episode huh interesting, only on YouTube.
Speaker 1: Then on May ninth, you can watch the first episode
Speaker 1: again on Prime, but you can also watch the second
Speaker 1: and third episode. You know, the way television was meant
Speaker 1: to be viewed. All right, I've got some tour dates
Speaker 1: that I'd like you to go. See me at and
Speaker 1: what else my son's bedtime story. Enjoy this little bit
Speaker 1: of animation. See you next week.
Speaker 5: Once upon a Hi, dear it Twitter ammals, all you
Speaker 5: wanted to do it wide on a twin but a
Speaker 5: Twitter put that an edition. It all the boat detached
Speaker 5: and says they wanted off to play, but everyone a point,
Speaker 5: they are so so happy, and then an d and
Speaker 5: but there are too little pain. But the pigments were
Speaker 5: like the penguins was sick.
Speaker 6: That was like one of the many in what this
Speaker 6: is like one of those movies at the end where
Speaker 6: it ends the credits rule and then they have like
Speaker 6: some extra little scenes before the movie finishes.
Speaker 5: They talked to MADMT the other extra.
Speaker 6: Scenes in Top Gun Maverick, Yes, all right, then yes,
Speaker 6: like Top Don Maverick and.
Speaker 5: The Only Soviet Days Length And then they went to
Speaker 5: freepd end. Okay, they always wanted gender Red Dean