WEBVTT - My A.I. Expert - Guy Van den Broeck

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<v Speaker 1>Just raise your hand. Once you realize that you're that

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<v Speaker 1>you know that you're talking to a complete idiot. Pasha

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<v Speaker 1>Tosh Show us. Welcome to Toss Show. If you're proud

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<v Speaker 1>to be Latino, stand the fuck up. Go ahead and

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<v Speaker 1>hit me with some of that three oh five music.

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<v Speaker 1>All right, it's a good start, you know, Eddie. I

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<v Speaker 1>have heard through the grapevine that some people don't like

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<v Speaker 1>the production value of our theme song. Now, I may

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<v Speaker 1>shock a lot of you listeners out there, but we

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<v Speaker 1>did not spend a lot of money on the music

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<v Speaker 1>for Toss Show. But I am open to new suggestions,

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<v Speaker 1>but not my uh traditional musicians. No, no, no, this podcast

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<v Speaker 1>is the future of entertainment. So what better than AI

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<v Speaker 1>to create our potential new theme song? Right okay, I

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<v Speaker 1>I hear we've got a few candidates to audition. Let

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<v Speaker 1>me go ahead and hear this first one here.

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<v Speaker 2>You get ready stands?

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<v Speaker 1>That sounds like a train wreck. I don't like that

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<v Speaker 1>one bit.

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<v Speaker 3>It's probably the prompt.

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<v Speaker 1>No, no, there's too many words to listen to. All Right,

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<v Speaker 1>we got another.

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<v Speaker 2>One, yeah, the Barca.

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<v Speaker 1>Lasting we want to know. Now, that's got some energy.

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<v Speaker 1>What I worry about is people listening to this thing

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<v Speaker 1>first thing in the morning, and they're not ready for

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<v Speaker 1>that nickelback rage. That might be too much. We might

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<v Speaker 1>be getting people spilling their coffee. Then we've got a

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<v Speaker 1>lawsuit on our hand. We have any more?

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<v Speaker 3>Here's play's play one more?

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<v Speaker 1>All right? Let me hear another one? Welcome today.

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<v Speaker 2>Here just every day.

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<v Speaker 1>God, that's awful. Here's the thing. AI is not ready.

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<v Speaker 1>I say, we stick with what we've got. That's right. Oh, man,

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<v Speaker 1>I worry about Ai every morning. This is the first

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<v Speaker 1>thing I do. Is AI sleeping with my wife? Is

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<v Speaker 1>AI diddling my kids? Is what I worry about. It's

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<v Speaker 1>just NonStop. Oh but what's AI doing? I was taking

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<v Speaker 1>my dog for a walk that I can get my

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<v Speaker 1>head around, that I would enjoy. Now I'm told, thanks

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<v Speaker 1>to AI, that this podcast is now broadcast in over

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<v Speaker 1>seven thousand languages. And I'm gonna be honest with you,

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<v Speaker 1>I didn't know there were seven thousand languages. Let's see

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<v Speaker 1>what Toss show sounds like in Spanish, Eddie, it's the programs.

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<v Speaker 1>Now that podcast is no longer under the category of comedy.

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<v Speaker 1>That one's under sexy. This is why you can't ever

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<v Speaker 1>be convicted of a crime in this country because you

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<v Speaker 1>just be like, I didn't do that. That was ai,

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<v Speaker 1>Like I never said those words. I don't speak fluent,

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<v Speaker 1>beautiful Spanish. Do you want to hear me speak Chinese? Wherever?

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<v Speaker 1>I try to ease this, Sir Lien Eddie transorg GM Shirsanger,

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<v Speaker 1>Oh man, what I wouldn't get to be able to

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<v Speaker 1>speak whatever beautiful language that was? Speaking of Chinese? I

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<v Speaker 1>just finished watching a showgun which I know is Japanese

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<v Speaker 1>or is They like to say the Japan's but it's

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<v Speaker 1>all under the Asian umbrella, which they like to hold.

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<v Speaker 1>A lot of them like to use umbrellas. This is

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<v Speaker 1>what I wanted. I'm not there's no spoilers. I'm not

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<v Speaker 1>giving any spoilers. Well I will, but it's just just

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<v Speaker 1>episode one that I'm going to talk about. And I

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<v Speaker 1>understand that this is set in that I think the

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<v Speaker 1>sixteen hundreds or something like that, medieval period, and it's

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<v Speaker 1>a different culture, okay, But I like to just play

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<v Speaker 1>it out as if it happened in my life today,

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<v Speaker 1>Like how would that go over? I just liked the

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<v Speaker 1>idea of me coming home from work. So Eddie, you

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<v Speaker 1>can play the role of my wife for this and

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<v Speaker 1>you just say, how was your day, honey?

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<v Speaker 3>How is your day?

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<v Speaker 2>Honey?

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<v Speaker 1>Oh funny you should ask you know how I like

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<v Speaker 1>to uh smart off sometimes at work. Well, I I

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<v Speaker 1>spoke up when I wasn't supposed to. Anyway, We're gonna

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<v Speaker 1>have to kill our children and I have to kill myself.

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<v Speaker 1>Oh so yeah, all right? Well, uh, speaking of AI,

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<v Speaker 1>today's guest a genius, a certified genius, a professor at

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<v Speaker 1>the University of California, Los Angeles. This guy knows everything

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<v Speaker 1>about AI. He's gonna calm my nerves hopefully, or he's

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<v Speaker 1>going to create new worries for me at night. Also,

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<v Speaker 1>I have to I have to mention that this was

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<v Speaker 1>the interview that was recorded that day that Dylan had

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<v Speaker 1>a colossal fuck cup a brain shart heard around the world.

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<v Speaker 1>So there were some audio issues, But the irony is

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<v Speaker 1>that Dylan figured out how to use AI to fix

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<v Speaker 1>his blundering buffoonery. Enjoy Pasha, my guest today, is the

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<v Speaker 1>smartest person we've had on the show, and not just

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<v Speaker 1>because he's a foreigner with four words in his name

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<v Speaker 1>who also happens to have facial hair and wears glasses.

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<v Speaker 1>Please welcome our distinguished guest, AI expert in the UCLA professor.

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<v Speaker 1>He doctor, he professor, he mister he.

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<v Speaker 4>What do you want?

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<v Speaker 3>It's all good, just he is fine.

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<v Speaker 4>Thank you all right?

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<v Speaker 3>He?

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<v Speaker 1>Where are you from? I'm from Belgium, Belgium, Well you've

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<v Speaker 1>been here.

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<v Speaker 3>I moved here in twenty fifteen, citizen, not yet soon

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<v Speaker 3>maybe next year.

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<v Speaker 4>Are you're actually going to do it?

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<v Speaker 3>I think I'm eligible in like a month.

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<v Speaker 1>So congratulations, thank you welcome. Do you like America?

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<v Speaker 3>Yeah? I mean it gave me a lot of opportunities,

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<v Speaker 3>so yeah, I love it here.

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<v Speaker 1>How often do you go back?

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<v Speaker 3>Maybe once or twice a year. It's a long track, yeah, yeah,

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<v Speaker 3>especially with a toddler. It's not so nice to travel

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<v Speaker 3>for like thirteen hours.

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<v Speaker 4>How old you're toddler?

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<v Speaker 3>Three years old?

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<v Speaker 1>And now are you as an academic person? Do you still?

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<v Speaker 1>I mean, can you relate to a toddler? Do ye

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<v Speaker 1>act silly? Are you a silly dad? Oh?

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<v Speaker 3>Yeah?

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<v Speaker 1>Are you strict? No?

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<v Speaker 3>I'm quite silly. I would say. I don't really like

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<v Speaker 3>to be the serious professor too much. It's not my

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<v Speaker 3>style now.

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<v Speaker 1>I mean I feel like the reason I had children

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<v Speaker 1>was because I wanted an excuse not to care so

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<v Speaker 1>much about everything else.

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<v Speaker 3>Yeah, and you cannot imagine before it happens, right, It's

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<v Speaker 3>kind of yeah, like you cannot prepare for this, and

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<v Speaker 3>that's only everything changes. And you know, it's also kind

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<v Speaker 3>of interesting that you kind of you know, you see

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<v Speaker 3>them grow and like learn things, and you're like, oh, yeah,

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<v Speaker 3>this this is different from how AI learns. You know,

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<v Speaker 3>you kind of get some perspective on like what is

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<v Speaker 3>just from seeing a toddler learn how to walk and

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<v Speaker 3>talk and you know all that stuff.

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<v Speaker 1>Right, I just like, like, whatever, the world's going to

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<v Speaker 1>shit and I'm gonna still have to, you know, build

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<v Speaker 1>this horrible lego thing that he just brought. Do you

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<v Speaker 1>believe in ghosts? No?

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<v Speaker 3>Okay, I feel like you asked a friendshow the same question.

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<v Speaker 3>Is that a usual question?

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<v Speaker 1>That's the first question I ask everyone? Do you believe

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<v Speaker 1>in ghosts?

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<v Speaker 4>Not at all?

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<v Speaker 1>Move on? Do you believe in digital ghost or those

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<v Speaker 1>death bots?

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<v Speaker 3>What are those?

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<v Speaker 1>Like some people that have lost someone and then they

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<v Speaker 1>create their like this digital ghost.

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<v Speaker 3>And it's I'm sure it's comforting. It's like watching videos

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<v Speaker 3>and pictures from people.

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<v Speaker 1>Do you think that's a good thing for the psyche

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<v Speaker 1>he has a way to move on.

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<v Speaker 3>Or No, I think it's a bit creepy. I wouldn't

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<v Speaker 3>really enjoy it. I would rather watch a videos from

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<v Speaker 3>ten years ago.

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<v Speaker 1>Yeah, yeah, that's always sad too, just to keep replaying

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<v Speaker 1>that video like John Wick. Uh, why did you leave Belgium,

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<v Speaker 1>a smart country to come a good old delmbo mare?

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<v Speaker 3>Yeah, you know, honestly, no one wanted to give me

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<v Speaker 3>a job as a professor in Belgium, and I had

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<v Speaker 3>to come here as a as an academic refugee.

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<v Speaker 4>What is your actual job.

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<v Speaker 3>I'm a professor of computer science at UCLA and I

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<v Speaker 3>teach AI.

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<v Speaker 1>You teach aim.

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<v Speaker 4>Are you worried that your job will be taken m M?

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<v Speaker 3>I mean the teaching part. I mean the more, the

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<v Speaker 3>more people will help teach EI, the less kind of

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<v Speaker 3>boring stuff I have to do, and the more interesting

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<v Speaker 3>things I can teach that are maybe less off the shelf.

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<v Speaker 3>So I would own mind more. AI help.

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<v Speaker 1>How did you get into computers in the first place?

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<v Speaker 3>I mean, I was a big nerd and still am,

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<v Speaker 3>I guess, and I like to program, I like to

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<v Speaker 3>play computer games, and you know, just like any other

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<v Speaker 3>nerd that' have I started with computers?

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<v Speaker 1>Do you still play the games?

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<v Speaker 3>Yes you did? Yes, Yes, I wish you hadn't asked.

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<v Speaker 4>But yeah, like like you put in real time.

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<v Speaker 3>I have this rule where I, you know, maybe once

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<v Speaker 3>a year I'll spend the weekend like binge playing for

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<v Speaker 3>like and without sleep, just to kind of reset myself.

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<v Speaker 3>And like, you know, I'm not worried too much about

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<v Speaker 3>being a civilized person with a real job. And you know,

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<v Speaker 3>I think everyone needs to do such something every once

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<v Speaker 3>in a while.

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<v Speaker 1>Though, is there a particular game that you care about?

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<v Speaker 3>Lust? When I played was? I played Civilization six? Again,

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<v Speaker 3>I don't know the game strategy games.

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<v Speaker 4>I'm not a game person.

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<v Speaker 1>And my brother, my brother is a game person and

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<v Speaker 1>who is a computer programmer and then created a company

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<v Speaker 1>for gaming and also for the government and then sold it.

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<v Speaker 1>And you know he's that kid very much. Yeah, a

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<v Speaker 1>world that you two would like to meet him, but no, he.

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<v Speaker 4>He I was.

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<v Speaker 1>I told him that I was interviewing and and he

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<v Speaker 1>was like okay, So then he added did a couple things.

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<v Speaker 4>He's like, bring it, bring this up.

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<v Speaker 1>It seems like self driving cars got to eighty percent

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<v Speaker 1>good really quickly, but progress is stalled with getting into

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<v Speaker 1>one hundred percent. Will we see that with AI for

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<v Speaker 1>programming too, like a helpful too but still need someone

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<v Speaker 1>to steer it, or will it quickly get to the

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<v Speaker 1>point that we don't need software engineers.

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<v Speaker 3>Yeah, so I think it's it's kind of a little

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<v Speaker 3>bit of both.

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<v Speaker 1>Right.

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<v Speaker 3>So on the one hand, yeah, like even today, your

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<v Speaker 3>brother is probably already using generative AI to help him program,

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<v Speaker 3>and so that's definitely happening. Whether your brother will be

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<v Speaker 3>completely replaced, I highly doubt it. I think there's you know.

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<v Speaker 1>He didn't have a job now he owns.

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<v Speaker 3>He's just doing it for fun.

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<v Speaker 1>He doesn't like six months cells it does something else.

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<v Speaker 3>I mean those weird if it's kind of this boilerplate

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<v Speaker 3>stuff where it's very similar to what many people have

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<v Speaker 3>done before and it's just like minor tweaks two things.

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<v Speaker 3>And yes, AI is probably going to be able to

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<v Speaker 3>do that because AI is really good at like finding

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<v Speaker 3>similar things and kind of slightly modifying them. But if

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<v Speaker 3>it's actually building like new software that does new things,

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<v Speaker 3>that's going to be much harder for AI to achieve.

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<v Speaker 1>You teach at UCLA. You think it's a bad idea

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<v Speaker 1>that UCLA left the fact well for the Big ten?

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<v Speaker 4>And are you aware of sports?

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<v Speaker 3>I heard this is a big deal in the way

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<v Speaker 3>in the real world. Yes, I heard about it. I

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<v Speaker 3>don't know. I am sure you say it only makes

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<v Speaker 3>good decisions like hiring me and moving to the back

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<v Speaker 3>twelve or whatever it is.

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<v Speaker 1>Do you ever have Alonzo Ball in one of your classes?

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<v Speaker 3>Who is that?

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<v Speaker 1>He was a basketball player? I'm sorry, popular a few

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<v Speaker 1>years ago.

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<v Speaker 3>We get student athletes in class all the time, so

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<v Speaker 3>but I don't really I don't know that.

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<v Speaker 4>Are you told it? Hey?

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<v Speaker 3>No, definitely not.

0:12:24.120 --> 0:12:26.560
<v Speaker 1>Subtle debate for us here? Who is the father of

0:12:26.640 --> 0:12:30.680
<v Speaker 1>artificial intelligence? Alan Turning or John McCarthy.

0:12:31.520 --> 0:12:34.640
<v Speaker 3>So Alan Turing was he was kind of the father

0:12:34.720 --> 0:12:37.240
<v Speaker 3>of computer science, and he already said like, let's build

0:12:37.440 --> 0:12:39.960
<v Speaker 3>a computer that can play chess. So in that sense,

0:12:40.040 --> 0:12:42.480
<v Speaker 3>during is kind of the first. But then McCarty was

0:12:42.520 --> 0:12:45.120
<v Speaker 3>the one that called it AI and really kind of

0:12:45.240 --> 0:12:47.920
<v Speaker 3>started the field of AI. So I think they put

0:12:47.960 --> 0:12:48.600
<v Speaker 3>good credits.

0:12:48.679 --> 0:12:49.959
<v Speaker 4>Okay, well, I want you to know that there was

0:12:50.000 --> 0:12:50.760
<v Speaker 4>no debate here.

0:12:51.120 --> 0:12:53.640
<v Speaker 1>I'll pose my question to make you feel like you

0:12:53.679 --> 0:12:56.960
<v Speaker 1>were among academics. But nothing could be first.

0:12:56.960 --> 0:12:58.959
<v Speaker 3>I mean, your question was great except you said turning

0:12:58.960 --> 0:12:59.680
<v Speaker 3>instead of touring.

0:12:59.800 --> 0:13:00.760
<v Speaker 4>Yeah, that was the giveaway.

0:13:00.880 --> 0:13:01.640
<v Speaker 1>God damn it.

0:13:02.960 --> 0:13:04.800
<v Speaker 3>Yeah, you should read these cards before.

0:13:04.600 --> 0:13:07.120
<v Speaker 1>You think I didn't read it. Well, then you're extremely dumb.

0:13:07.640 --> 0:13:09.280
<v Speaker 4>I stew over these things.

0:13:09.559 --> 0:13:12.120
<v Speaker 1>By the way, Yeah, when's the last time we took

0:13:12.120 --> 0:13:12.880
<v Speaker 1>a hearing test?

0:13:13.440 --> 0:13:14.600
<v Speaker 3>Do you think I have a problem? No?

0:13:16.360 --> 0:13:22.160
<v Speaker 1>Never, Okay, No, it's like my kid just took a

0:13:22.240 --> 0:13:24.280
<v Speaker 1>hear It doesn't like you just have to raise your

0:13:24.320 --> 0:13:26.920
<v Speaker 1>hand and I just want you to u during this

0:13:26.960 --> 0:13:31.080
<v Speaker 1>in just raise your hand once you realize that you're

0:13:31.320 --> 0:13:33.720
<v Speaker 1>that you know that you're talking to a complete idiot.

0:13:38.040 --> 0:13:39.400
<v Speaker 3>No, No, I don't believe in that.

0:13:39.920 --> 0:13:40.439
<v Speaker 1>You don't believe.

0:13:40.600 --> 0:13:41.400
<v Speaker 4>You don't believe though.

0:13:41.920 --> 0:13:43.880
<v Speaker 3>I mean, I'm also an idiot, you know.

0:13:44.080 --> 0:13:45.080
<v Speaker 4>No, not true.

0:13:45.559 --> 0:13:48.360
<v Speaker 1>What are some of the real dangers of AI because

0:13:48.360 --> 0:13:50.480
<v Speaker 1>you're not a doom and gloom guy with it?

0:13:50.559 --> 0:13:52.680
<v Speaker 3>No, I don't like all the scary stuff a guy

0:13:52.760 --> 0:13:54.120
<v Speaker 3>is going to take over in the world and like

0:13:54.240 --> 0:13:56.920
<v Speaker 3>terminator will walk into this room and all of that stuff.

0:13:56.920 --> 0:13:59.560
<v Speaker 3>I think, you know, I appreciate that some people seriously

0:13:59.640 --> 0:14:01.800
<v Speaker 3>studied is like as a long term problem of like

0:14:01.800 --> 0:14:04.000
<v Speaker 3>how do we make AI behave the way we wanted

0:14:04.040 --> 0:14:06.080
<v Speaker 3>to behave? But I think what I'm much more concerned

0:14:06.080 --> 0:14:08.920
<v Speaker 3>about is like, today AI is doing pretty bad things already,

0:14:09.200 --> 0:14:11.600
<v Speaker 3>and you know, if you care too much about this

0:14:11.679 --> 0:14:14.600
<v Speaker 3>kind of terminator sci fi AI taking over the world,

0:14:14.600 --> 0:14:16.520
<v Speaker 3>and I think you're also kind of ignoring the real

0:14:16.600 --> 0:14:17.320
<v Speaker 3>dangers today.

0:14:17.480 --> 0:14:20.920
<v Speaker 1>And the real dangers are just believing everything that's put

0:14:20.960 --> 0:14:21.520
<v Speaker 1>out part.

0:14:21.400 --> 0:14:24.800
<v Speaker 3>Of you, yeah, thinking that somehow, because AI is intelligent,

0:14:24.920 --> 0:14:27.440
<v Speaker 3>it knows how to make decisions that are good for

0:14:27.480 --> 0:14:30.480
<v Speaker 3>all of us. Well, these systems are full of biases,

0:14:30.600 --> 0:14:34.400
<v Speaker 3>and you know, AI is constantly also being used to

0:14:34.600 --> 0:14:38.400
<v Speaker 3>you know, track people, to even build kind of automated weapons.

0:14:39.080 --> 0:14:41.120
<v Speaker 3>AI is being used in many ways today that are

0:14:41.200 --> 0:14:44.040
<v Speaker 3>quite dangerous already, and that's what I'm more concerned about.

0:14:44.240 --> 0:14:47.440
<v Speaker 4>Well, yeah, that does sound worrisome. Now now I'm back

0:14:47.520 --> 0:14:49.400
<v Speaker 4>on the doom and gloom. I thought you maybe feel

0:14:49.400 --> 0:14:49.960
<v Speaker 4>better about that.

0:14:50.200 --> 0:14:52.440
<v Speaker 3>No, but I mean, there's drones flying around and you

0:14:52.480 --> 0:14:55.880
<v Speaker 3>can tell them find Daniel Tosh and shoot at Daniel Tosch.

0:14:56.000 --> 0:14:59.720
<v Speaker 3>This is very doable and so sorry, sorry. We can

0:14:59.760 --> 0:15:00.840
<v Speaker 3>cut if.

0:15:00.680 --> 0:15:02.800
<v Speaker 1>I see a which if I see a drone in

0:15:02.840 --> 0:15:05.760
<v Speaker 1>my property. My instinct is to get a sling shot out,

0:15:06.240 --> 0:15:08.240
<v Speaker 1>But now I think that might not be good enough.

0:15:08.280 --> 0:15:10.320
<v Speaker 3>Yeah, I should should move closer to an airport where

0:15:10.440 --> 0:15:11.400
<v Speaker 3>you cannot have drones.

0:15:11.600 --> 0:15:16.040
<v Speaker 1>Just closer to an airport, yea, Oh, I'd rather be

0:15:16.120 --> 0:15:20.080
<v Speaker 1>shot at. How advanced is the cutting edge of this

0:15:20.160 --> 0:15:22.760
<v Speaker 1>technology compared to what the public is aware of? Oh?

0:15:22.800 --> 0:15:25.400
<v Speaker 3>I think the public is aware of the cutting edge.

0:15:25.480 --> 0:15:28.640
<v Speaker 3>Anyone who has something new desperately wants to put out

0:15:28.640 --> 0:15:30.680
<v Speaker 3>a press release, show the world make money.

0:15:30.840 --> 0:15:32.960
<v Speaker 1>Yeah, all right, so there's nothing behind the scenes that's

0:15:33.000 --> 0:15:34.480
<v Speaker 1>way scarier than what I mean.

0:15:34.520 --> 0:15:36.200
<v Speaker 3>Some of these model stick a while to train, Like

0:15:36.240 --> 0:15:38.360
<v Speaker 3>I'm sure Open the Eye is training the next GPT

0:15:38.640 --> 0:15:41.080
<v Speaker 3>and it's probably impressive and they know it, but they're

0:15:41.080 --> 0:15:42.640
<v Speaker 3>not ready to release it yet. But as soon as

0:15:42.640 --> 0:15:43.640
<v Speaker 3>they can, I'm sure they will.

0:15:44.000 --> 0:15:47.680
<v Speaker 1>Isn't the greatest sart of computer learning, not artificial intelligence,

0:15:47.720 --> 0:15:51.480
<v Speaker 1>but rather human stupidity. Most people believe what they're told

0:15:51.520 --> 0:15:53.160
<v Speaker 1>because nobody reads or bothers to you.

0:15:53.320 --> 0:15:55.600
<v Speaker 3>Yeah, it's all it's all the magical thinking, right. People

0:15:55.880 --> 0:15:57.960
<v Speaker 3>think this is magic, that it knows everything, that it

0:15:58.000 --> 0:16:00.360
<v Speaker 3>can make perfect decisions for everyone. Then I think this

0:16:00.400 --> 0:16:03.720
<v Speaker 3>happened before, like in the nineties, when AI started to

0:16:03.840 --> 0:16:07.240
<v Speaker 3>beat world champion at chess, you could be like, okay,

0:16:07.240 --> 0:16:09.880
<v Speaker 3>we're done, right, Like this is chess for in the West,

0:16:09.920 --> 0:16:12.480
<v Speaker 3>for thousands of years has been the game where you

0:16:12.520 --> 0:16:14.640
<v Speaker 3>prove you're intelligent, and if AI can do that, then

0:16:14.680 --> 0:16:17.480
<v Speaker 3>we're done. But it turned out that after that there

0:16:17.560 --> 0:16:19.880
<v Speaker 3>wasn't really all that much more that AI could do,

0:16:20.040 --> 0:16:22.720
<v Speaker 3>even though this was really impressive, and so this happens

0:16:22.760 --> 0:16:25.920
<v Speaker 3>over and over again. Right at some point, AI beats

0:16:26.120 --> 0:16:28.160
<v Speaker 3>the world champion at a game of Go, which is

0:16:28.200 --> 0:16:30.160
<v Speaker 3>much harder than chess. It's kind of the hardest board

0:16:30.200 --> 0:16:30.960
<v Speaker 3>game you can play.

0:16:31.200 --> 0:16:32.680
<v Speaker 1>Go is the hardest board game.

0:16:33.240 --> 0:16:35.200
<v Speaker 3>I don't know, I'm not an expert, but yeah, it's

0:16:35.320 --> 0:16:38.080
<v Speaker 3>it's like this, it's I think you can think of

0:16:38.120 --> 0:16:40.440
<v Speaker 3>it as like an East Asian kind of variant.

0:16:40.520 --> 0:16:42.920
<v Speaker 1>Is enjoyables and an enjoy fun game to play.

0:16:43.280 --> 0:16:45.920
<v Speaker 3>I tried. It's way too complicated for me to enjoy.

0:16:46.160 --> 0:16:50.680
<v Speaker 3>So yeah, but some people really love it, and you

0:16:50.680 --> 0:16:52.440
<v Speaker 3>know once you once you beat that, you're like, okay,

0:16:52.520 --> 0:16:55.400
<v Speaker 3>there's no more harder game where humans are better than Ai.

0:16:55.440 --> 0:16:57.080
<v Speaker 3>And then you're like, oh, maybe poker, like we're good

0:16:57.080 --> 0:16:59.800
<v Speaker 3>at bluffing and reading people. AI starts to beat the

0:16:59.800 --> 0:17:01.320
<v Speaker 3>world champions at poker.

0:17:01.040 --> 0:17:02.560
<v Speaker 4>Too many monkeys? Do you ever play that?

0:17:02.680 --> 0:17:02.920
<v Speaker 1>Now?

0:17:02.960 --> 0:17:03.400
<v Speaker 3>What's that?

0:17:03.760 --> 0:17:04.720
<v Speaker 1>What's a card game?

0:17:04.960 --> 0:17:05.440
<v Speaker 4>Okay?

0:17:05.560 --> 0:17:07.919
<v Speaker 1>With your daughter, you'll love it? Uh huh? Can she

0:17:07.960 --> 0:17:08.880
<v Speaker 1>count to six yet?

0:17:09.000 --> 0:17:11.560
<v Speaker 4>Yes, then you're in. That'sky neat.

0:17:11.760 --> 0:17:13.560
<v Speaker 3>Yeah. Yeah, we'll try. I'll look it up.

0:17:13.680 --> 0:17:16.360
<v Speaker 1>How come AI can't come up with something where they

0:17:16.359 --> 0:17:19.320
<v Speaker 1>can click on photos of bicycles or say I am

0:17:19.320 --> 0:17:20.000
<v Speaker 1>not a robot.

0:17:20.320 --> 0:17:22.920
<v Speaker 3>I don't think these things work anymore? Really, like AI

0:17:23.040 --> 0:17:25.199
<v Speaker 3>is able to crack all of these they keep changing

0:17:25.240 --> 0:17:27.240
<v Speaker 3>them all the time, just to make sure that, you know,

0:17:27.320 --> 0:17:29.400
<v Speaker 3>someone who's building the eye for the previous thing has

0:17:29.440 --> 0:17:31.240
<v Speaker 3>to spend some time building in the ie for the

0:17:31.240 --> 0:17:33.120
<v Speaker 3>next thing. That's why they keep changing all the time.

0:17:33.160 --> 0:17:34.359
<v Speaker 3>But I wouldn't really trust them.

0:17:34.240 --> 0:17:35.720
<v Speaker 4>To be so that's not going to save me.

0:17:36.080 --> 0:17:36.399
<v Speaker 3>Yeah.

0:17:36.520 --> 0:17:39.760
<v Speaker 1>Can you walk me through a plausible doomsday scenario where

0:17:39.760 --> 0:17:42.480
<v Speaker 1>the machines take over and I'm locked out of my rivian?

0:17:44.000 --> 0:17:47.360
<v Speaker 3>I mean plausible? No, I mean I'm sure your car

0:17:47.400 --> 0:17:49.840
<v Speaker 3>can break down. I think your riving or your test

0:17:49.920 --> 0:17:52.840
<v Speaker 3>level today already misbehave and not open its doors, has

0:17:52.840 --> 0:17:54.919
<v Speaker 3>nothing to do with AI, right, These things are just

0:17:55.040 --> 0:17:55.679
<v Speaker 3>not robust.

0:17:55.880 --> 0:17:57.280
<v Speaker 1>That's Do you have a smart home?

0:17:57.600 --> 0:18:00.840
<v Speaker 3>Not really? I have like a Google Assistant too, because

0:18:00.840 --> 0:18:03.720
<v Speaker 3>my toddler keeps requesting music, so I don't really want

0:18:03.760 --> 0:18:05.520
<v Speaker 3>to like kick on my phone. I just like, please

0:18:05.560 --> 0:18:07.800
<v Speaker 3>play this music. So that's my only use case for AI.

0:18:07.920 --> 0:18:10.560
<v Speaker 1>Really, are you into all of that tech stuff or not?

0:18:10.600 --> 0:18:11.280
<v Speaker 4>Necessarily?

0:18:11.840 --> 0:18:15.280
<v Speaker 3>I find most of it just makes my life harder.

0:18:15.720 --> 0:18:17.640
<v Speaker 3>I mean there were ads for like Siri and these

0:18:17.680 --> 0:18:20.080
<v Speaker 3>types of assistance ten years ago that claims, oh, they

0:18:20.080 --> 0:18:21.880
<v Speaker 3>will plan your trips, they will do this, they will

0:18:21.880 --> 0:18:24.280
<v Speaker 3>do that. In the end, they never understand what I say,

0:18:24.359 --> 0:18:26.600
<v Speaker 3>maybe because I have an accent, and it's just like

0:18:26.840 --> 0:18:28.720
<v Speaker 3>there's a few things I know I can ask everything

0:18:28.720 --> 0:18:30.240
<v Speaker 3>else I'm just not even trying anymore.

0:18:30.359 --> 0:18:33.520
<v Speaker 1>I always think of like these guys that that create

0:18:33.600 --> 0:18:38.280
<v Speaker 1>these billionaires, these tech guys that create these safe bunkers

0:18:38.359 --> 0:18:41.000
<v Speaker 1>or whatever, and there's so much tech in these homes.

0:18:41.320 --> 0:18:45.840
<v Speaker 1>I'm like, unless the day they're finished, the doomsday happens

0:18:45.880 --> 0:18:47.919
<v Speaker 1>and they move in then, but if it sits for

0:18:48.000 --> 0:18:49.080
<v Speaker 1>ten years.

0:18:49.080 --> 0:18:51.240
<v Speaker 3>Yeah, they things going to work. They need some tech

0:18:51.280 --> 0:18:52.640
<v Speaker 3>support in their bunker.

0:18:52.520 --> 0:18:54.800
<v Speaker 1>Because I can't get my lights to turn on half

0:18:54.880 --> 0:18:57.760
<v Speaker 1>the time with my crestraw on app. So I'm just

0:18:57.880 --> 0:19:02.160
<v Speaker 1>I'm just loving that Mark Zuckerberg thinks his entire Hawaiian island.

0:19:01.880 --> 0:19:02.480
<v Speaker 4>Is going to work.

0:19:02.720 --> 0:19:07.000
<v Speaker 1>I really just want to know that ten years after

0:19:07.160 --> 0:19:10.240
<v Speaker 1>I die, my kids still have it good for a

0:19:10.280 --> 0:19:11.879
<v Speaker 1>few more years and then past that.

0:19:11.920 --> 0:19:12.600
<v Speaker 4>I don't really care.

0:19:13.359 --> 0:19:15.840
<v Speaker 3>Yeah, I think you're fine. Also, I'm like not a

0:19:15.840 --> 0:19:18.000
<v Speaker 3>fortune teller, right, so, like, I think your opinion is

0:19:18.040 --> 0:19:20.040
<v Speaker 3>just as valid as mine on like the future of AI.

0:19:20.200 --> 0:19:24.600
<v Speaker 4>Honestly, yeah, true, no way my opinion.

0:19:25.000 --> 0:19:26.800
<v Speaker 3>I mean something about what you said earlier of like

0:19:26.840 --> 0:19:28.920
<v Speaker 3>you know, think of like music, right, Like you can

0:19:28.960 --> 0:19:31.320
<v Speaker 3>ask an Ai to day like give me another song

0:19:31.359 --> 0:19:34.120
<v Speaker 3>that sounds like Kanye right like or whatever. Like that's

0:19:34.200 --> 0:19:37.360
<v Speaker 3>pretty easy actually because there's a lot of style already

0:19:37.359 --> 0:19:39.320
<v Speaker 3>there and you just do something in a similar style.

0:19:39.720 --> 0:19:43.280
<v Speaker 3>If you ask AI to invent jazz or rap music

0:19:43.400 --> 0:19:46.320
<v Speaker 3>or something that's completely different, that's really what it struggles with,

0:19:46.400 --> 0:19:48.040
<v Speaker 3>and we don't really have an idea of how to

0:19:48.080 --> 0:19:49.800
<v Speaker 3>do that. So AI is really good at like more

0:19:49.840 --> 0:19:51.800
<v Speaker 3>of the same. It's it's not so good as like

0:19:51.920 --> 0:19:53.760
<v Speaker 3>do something fresh and so I don't know how you

0:19:53.800 --> 0:19:55.439
<v Speaker 3>think about your own comedy, but if you think you're

0:19:55.480 --> 0:19:57.800
<v Speaker 3>different from all the other comedians, you're probably fine.

0:19:58.480 --> 0:20:02.240
<v Speaker 4>I'm not. I am not that different. Oh all right,

0:20:02.280 --> 0:20:03.080
<v Speaker 4>well whatever.

0:20:03.560 --> 0:20:06.320
<v Speaker 1>Do you have any creepy stories about how big data

0:20:06.440 --> 0:20:08.760
<v Speaker 1>knows people better than they know themselves.

0:20:09.480 --> 0:20:11.800
<v Speaker 3>I'm sure it happens all the time where people you

0:20:11.840 --> 0:20:14.679
<v Speaker 3>know are outed for you know, being pregnant or you

0:20:14.680 --> 0:20:17.680
<v Speaker 3>know whatever, just by you know, someone in their home

0:20:17.840 --> 0:20:20.040
<v Speaker 3>with the same IP searching for something.

0:20:20.119 --> 0:20:20.280
<v Speaker 4>Right.

0:20:20.280 --> 0:20:22.760
<v Speaker 3>I think this happens all the time. Yeah, I figures

0:20:22.760 --> 0:20:25.360
<v Speaker 3>things out pretty quickly. I don't know. I always see

0:20:25.400 --> 0:20:29.440
<v Speaker 3>the same ads on Instagram, and they're always like something

0:20:29.440 --> 0:20:31.360
<v Speaker 3>that I searched on some other websites. So I really

0:20:31.359 --> 0:20:33.240
<v Speaker 3>feel like all the companies know exactly.

0:20:33.520 --> 0:20:35.480
<v Speaker 1>Do you have a burner phone? No?

0:20:36.880 --> 0:20:38.080
<v Speaker 3>Do you have one?

0:20:37.600 --> 0:20:37.639
<v Speaker 5>No?

0:20:39.320 --> 0:20:42.040
<v Speaker 1>I'm not somebody that ever. I don't do things that

0:20:42.160 --> 0:20:45.680
<v Speaker 1>matter like there's my wife. I'm never trying to keep

0:20:45.720 --> 0:20:49.159
<v Speaker 1>anything from anyone. If somebody, if Big Brother looked in

0:20:49.280 --> 0:20:51.719
<v Speaker 1>on me, they would just be like, oh, that is

0:20:52.119 --> 0:20:54.160
<v Speaker 1>horribly unimpressive.

0:20:54.480 --> 0:20:54.680
<v Speaker 4>Yeah.

0:20:55.600 --> 0:20:56.919
<v Speaker 3>I mean the problem for me is I grew up

0:20:56.960 --> 0:20:59.560
<v Speaker 3>in this generation like early two thousands, the Internet was

0:20:59.680 --> 0:21:02.000
<v Speaker 3>only good and by just doing more on the Internet

0:21:02.119 --> 0:21:05.119
<v Speaker 3>and making everything open, we would change the world and

0:21:05.160 --> 0:21:07.080
<v Speaker 3>everything would be connected and better. And then like ten

0:21:07.160 --> 0:21:09.360
<v Speaker 3>years later we realized, oh, and that's not actually what's

0:21:09.359 --> 0:21:11.520
<v Speaker 3>happening with the Internet. But I feel like all my

0:21:11.960 --> 0:21:14.040
<v Speaker 3>information is out there already, so like, what more do

0:21:14.119 --> 0:21:14.600
<v Speaker 3>I save?

0:21:15.000 --> 0:21:15.560
<v Speaker 4>Just porn?

0:21:16.760 --> 0:21:19.720
<v Speaker 1>All the internet did flooded us with porn.

0:21:20.359 --> 0:21:21.600
<v Speaker 3>So yeah, I don't want to get in trouble here

0:21:21.600 --> 0:21:23.919
<v Speaker 3>because one of my colleagues in my department at UCLE

0:21:24.000 --> 0:21:26.840
<v Speaker 3>actually invented the Internet, so I cannot really says it's

0:21:26.840 --> 0:21:27.520
<v Speaker 3>a negative thing.

0:21:27.520 --> 0:21:29.000
<v Speaker 4>I think, you know, come an out, gore.

0:21:30.040 --> 0:21:35.560
<v Speaker 1>Sure does it matter whether or not I accept cookies

0:21:35.600 --> 0:21:37.000
<v Speaker 1>on a website?

0:21:37.119 --> 0:21:39.639
<v Speaker 3>It doesn't matter. You'll be tracked anyway.

0:21:39.880 --> 0:21:41.520
<v Speaker 1>So I should just always say accept all.

0:21:41.880 --> 0:21:43.080
<v Speaker 3>I always do you do?

0:21:43.240 --> 0:21:44.080
<v Speaker 4>Yeah?

0:21:44.240 --> 0:21:45.760
<v Speaker 1>I like to get the other one where it's like, oh,

0:21:45.840 --> 0:21:48.119
<v Speaker 1>just the selected ones that I like, go through and

0:21:48.160 --> 0:21:48.520
<v Speaker 1>I start.

0:21:49.200 --> 0:21:51.520
<v Speaker 3>It just makes your life harder for no good reason,

0:21:52.680 --> 0:21:53.120
<v Speaker 3>So just.

0:21:53.160 --> 0:21:55.600
<v Speaker 1>Accept them all and move on. Can you read the

0:21:55.640 --> 0:21:56.639
<v Speaker 1>titles of your books?

0:21:56.680 --> 0:21:56.840
<v Speaker 3>Oh?

0:21:56.880 --> 0:21:57.600
<v Speaker 4>No? Please?

0:21:58.080 --> 0:22:00.320
<v Speaker 3>Which ones did you find here?

0:22:00.440 --> 0:22:05.520
<v Speaker 1>The introduction to lied probabilistic interference inference, well, part of

0:22:05.600 --> 0:22:09.399
<v Speaker 1>the neural information processing series, and what's this?

0:22:09.480 --> 0:22:12.400
<v Speaker 4>Other one was the query.

0:22:12.080 --> 0:22:14.040
<v Speaker 3>Processing and on prolistic data.

0:22:14.119 --> 0:22:15.280
<v Speaker 4>Yeah, does sound fine?

0:22:15.560 --> 0:22:21.159
<v Speaker 1>Yeah, oh man, I'd love to recommend those to my

0:22:21.200 --> 0:22:22.000
<v Speaker 1>wife's book club.

0:22:22.200 --> 0:22:24.560
<v Speaker 3>Yeah, so you invited me to this podcast based on

0:22:24.600 --> 0:22:25.439
<v Speaker 3>reading those books.

0:22:25.560 --> 0:22:27.600
<v Speaker 1>There is no way I could read those books.

0:22:28.200 --> 0:22:30.800
<v Speaker 3>Yeah, the titles sound fancy, but those things are not

0:22:30.840 --> 0:22:33.800
<v Speaker 3>even really what's the current AI? What current II is doing?

0:22:33.800 --> 0:22:36.560
<v Speaker 3>The current AI is actually really simple. That the techniques

0:22:36.600 --> 0:22:39.919
<v Speaker 3>that actually worked turned out to be way more boring

0:22:40.040 --> 0:22:43.880
<v Speaker 3>and less like technically fancy than what we thought would

0:22:43.920 --> 0:22:46.359
<v Speaker 3>be necessary to build AI. And that's also something that

0:22:46.400 --> 0:22:49.639
<v Speaker 3>puzzles the community, like how how are all the simple

0:22:49.680 --> 0:22:51.879
<v Speaker 3>dumb things working really well? And like all the clever

0:22:52.040 --> 0:22:55.320
<v Speaker 3>things don't really work. It's very confusing.

0:22:55.440 --> 0:22:58.240
<v Speaker 1>If AI is so intelligent, how come they can't figure

0:22:58.280 --> 0:23:01.879
<v Speaker 1>out that I'm not trying to type duck all the time,

0:23:02.119 --> 0:23:05.840
<v Speaker 1>I swear constantly. You think it would pick up on

0:23:05.920 --> 0:23:06.720
<v Speaker 1>this at some point?

0:23:06.840 --> 0:23:12.320
<v Speaker 3>Yeah, I share your frustration. So here's the thing, right,

0:23:12.440 --> 0:23:17.280
<v Speaker 3>So the AI is really impressive, Like these language molds

0:23:17.280 --> 0:23:19.760
<v Speaker 3>are really good at actually giving you answers that are

0:23:19.800 --> 0:23:21.600
<v Speaker 3>really clever. But then if you actually want to integrate

0:23:21.680 --> 0:23:24.359
<v Speaker 3>this technology into everything, you need to like engineer a

0:23:24.359 --> 0:23:26.520
<v Speaker 3>whole bunch of stuff that somehow people are not able

0:23:26.560 --> 0:23:28.320
<v Speaker 3>to do in a way that I'm happy with. Either.

0:23:28.640 --> 0:23:30.600
<v Speaker 3>Part of the problem is like who's going to actually

0:23:31.280 --> 0:23:34.320
<v Speaker 3>build this stuff? Like an AI engineer is so expensive

0:23:34.359 --> 0:23:37.160
<v Speaker 3>for these companies, and they're all just trying to build

0:23:37.200 --> 0:23:40.760
<v Speaker 3>the next chatchpt to have a nice big press release

0:23:40.760 --> 0:23:42.960
<v Speaker 3>about it. But to kind of do the dirty work

0:23:42.960 --> 0:23:45.600
<v Speaker 3>of actually integrating all this stuff with all their services

0:23:45.640 --> 0:23:48.560
<v Speaker 3>and so on, that's actually quite complicated and expensive, And

0:23:48.960 --> 0:23:51.440
<v Speaker 3>you know, I think that's why we're not actually getting

0:23:51.440 --> 0:23:53.600
<v Speaker 3>the functionality we want for things we use all the time.

0:23:53.640 --> 0:23:56.520
<v Speaker 1>How do you think we regulate AI? Because if we're

0:23:56.520 --> 0:24:01.560
<v Speaker 1>expecting these geriatric dipshits and con risks to wrap their

0:24:01.600 --> 0:24:02.360
<v Speaker 1>heads around this.

0:24:02.880 --> 0:24:05.840
<v Speaker 3>I mean it's complicated, right, because I think everyone's confused.

0:24:06.400 --> 0:24:08.280
<v Speaker 3>I think the problem is not even them, right if

0:24:08.320 --> 0:24:12.520
<v Speaker 3>you ask a lawyer who studies AI regulation, even they,

0:24:12.560 --> 0:24:15.360
<v Speaker 3>I think don't really know what is going to happen here.

0:24:15.480 --> 0:24:18.719
<v Speaker 3>Like AI companies are using everyone's data. They're probably like

0:24:18.800 --> 0:24:21.320
<v Speaker 3>watching this video and putting it as training data into

0:24:21.359 --> 0:24:24.520
<v Speaker 3>some video AI model, and the problem is that the

0:24:24.600 --> 0:24:27.560
<v Speaker 3>regulation is not super clear about what is fair use

0:24:27.600 --> 0:24:30.040
<v Speaker 3>of all this data, Like, obviously you have your copyright

0:24:30.080 --> 0:24:32.840
<v Speaker 3>for everything you do, but then somehow companies are still

0:24:32.960 --> 0:24:35.159
<v Speaker 3>using it, assuming that if they do it at a

0:24:35.160 --> 0:24:37.520
<v Speaker 3>big enough scale they can somehow get away with it.

0:24:38.160 --> 0:24:40.199
<v Speaker 3>And then for people like me, it seems obvious that

0:24:40.280 --> 0:24:43.159
<v Speaker 3>this should not be legal in a commercial setting. But

0:24:43.240 --> 0:24:45.320
<v Speaker 3>then some lawyers are like, no, this seems like fair

0:24:45.440 --> 0:24:47.919
<v Speaker 3>use because it's kind of like a child learning and

0:24:47.960 --> 0:24:52.840
<v Speaker 3>then making fresh content afterwards, and that is allowed. And

0:24:52.880 --> 0:24:54.560
<v Speaker 3>I think someone will figure this out, but it's I

0:24:54.600 --> 0:24:57.680
<v Speaker 3>don't think it's clear right now what is legal. And

0:24:58.000 --> 0:24:59.919
<v Speaker 3>that's just for the copyright issue. There's also just like

0:25:00.080 --> 0:25:03.600
<v Speaker 3>safety stuff, and I think something should really be banned,

0:25:03.640 --> 0:25:06.680
<v Speaker 3>like you know, using AI to look at people's resumes

0:25:06.720 --> 0:25:09.359
<v Speaker 3>to decide who gets hired or filtered. I think that's

0:25:09.520 --> 0:25:12.879
<v Speaker 3>obviously wrong. Those tools can never really do a good

0:25:12.960 --> 0:25:13.800
<v Speaker 3>job and be fair.

0:25:14.240 --> 0:25:18.000
<v Speaker 1>Yeah, but interviews are awful. He ANDed me interview somebody.

0:25:18.040 --> 0:25:22.000
<v Speaker 1>It's just it's who's the best liar performer?

0:25:22.040 --> 0:25:22.679
<v Speaker 4>To my face?

0:25:23.119 --> 0:25:25.880
<v Speaker 3>Sure, sure, but then what's a I gonna do. It's

0:25:25.880 --> 0:25:28.119
<v Speaker 3>gonna be like, oh, hire all people named Daniel, or

0:25:28.160 --> 0:25:28.640
<v Speaker 3>you know, like.

0:25:28.720 --> 0:25:31.520
<v Speaker 4>Episode good start. Now I'm bored.

0:25:32.680 --> 0:25:34.680
<v Speaker 3>I feel like you could do a podcast just interviewing

0:25:34.680 --> 0:25:36.000
<v Speaker 3>other Daniels, Right, so.

0:25:36.760 --> 0:25:38.800
<v Speaker 1>That's not a bad idea.

0:25:40.480 --> 0:25:43.240
<v Speaker 3>Steal that Daniel and Daniel.

0:25:45.160 --> 0:25:49.920
<v Speaker 1>There's a horrific AI generated video of Will Smith eating noodles?

0:25:50.880 --> 0:25:53.119
<v Speaker 1>Does AI have a problem with Will Smith? And do

0:25:53.160 --> 0:25:55.280
<v Speaker 1>you think it stems from the movie I Robot?

0:25:56.000 --> 0:25:56.200
<v Speaker 4>No.

0:25:58.200 --> 0:26:00.880
<v Speaker 3>I've seen that video though, and it gets better every year. Right,

0:26:01.040 --> 0:26:03.399
<v Speaker 3>there's like the early version which is just chaos, and

0:26:03.600 --> 0:26:05.120
<v Speaker 3>recently it starts to look pretty good.

0:26:05.800 --> 0:26:09.240
<v Speaker 1>Yeah, it's figuring in nice learning. Did you ever look

0:26:09.280 --> 0:26:12.240
<v Speaker 1>at those AI explicit photos of Taylor Swift?

0:26:12.560 --> 0:26:12.679
<v Speaker 4>No?

0:26:14.160 --> 0:26:15.080
<v Speaker 3>Did you never?

0:26:15.880 --> 0:26:17.919
<v Speaker 1>Are you worried about deep fakes all that stuff?

0:26:18.040 --> 0:26:20.280
<v Speaker 3>Especially in politics? I think that's a problem.

0:26:20.480 --> 0:26:21.919
<v Speaker 1>Do you think of politics in our country?

0:26:21.960 --> 0:26:24.760
<v Speaker 4>You enjoyed it?

0:26:24.800 --> 0:26:25.600
<v Speaker 1>Is it maddening?

0:26:26.280 --> 0:26:28.640
<v Speaker 3>Yeah? It was very like I moved here in twenty fifteen, right,

0:26:28.640 --> 0:26:31.119
<v Speaker 3>and the world changed very quickly after that. I felt

0:26:31.160 --> 0:26:32.760
<v Speaker 3>like this was kind of a bait and switch, like, yeah,

0:26:32.800 --> 0:26:35.120
<v Speaker 3>come to America, it's great, and then I still love

0:26:35.119 --> 0:26:38.520
<v Speaker 3>it here. I don't want to get in trouble here. Right,

0:26:39.320 --> 0:26:40.040
<v Speaker 3>I love it here.

0:26:40.240 --> 0:26:42.600
<v Speaker 1>Do you think America is the greatest country in the world.

0:26:42.880 --> 0:26:43.280
<v Speaker 4>Yeah? Yeah.

0:26:43.280 --> 0:26:45.200
<v Speaker 3>I mean I'll say one thing positive, which is so

0:26:45.359 --> 0:26:48.040
<v Speaker 3>I'm from Belgium, my wife is from Bosnia. We cannot

0:26:48.040 --> 0:26:51.520
<v Speaker 3>really live anywhere where not one of us is a foreigner, right,

0:26:51.760 --> 0:26:54.560
<v Speaker 3>except in California. I feel like we're both here and

0:26:54.600 --> 0:26:56.280
<v Speaker 3>no one cares that we have an accent, and we

0:26:56.320 --> 0:26:58.080
<v Speaker 3>really feel like we're both at home. Right. So I

0:26:58.119 --> 0:27:00.840
<v Speaker 3>think that's really beautiful about California and the US more.

0:27:00.760 --> 0:27:02.880
<v Speaker 1>Generally, let's just say just California.

0:27:03.000 --> 0:27:03.520
<v Speaker 4>Let's be honest.

0:27:03.640 --> 0:27:05.920
<v Speaker 1>I brought you two into a few different markets and

0:27:05.960 --> 0:27:10.840
<v Speaker 1>you'd feel very differently. Is California the only place that

0:27:10.880 --> 0:27:12.400
<v Speaker 1>you've lived in the United States?

0:27:12.760 --> 0:27:13.919
<v Speaker 3>Yes? In the United States?

0:27:14.000 --> 0:27:16.280
<v Speaker 1>Yes? Have you visited the whole country?

0:27:16.480 --> 0:27:18.000
<v Speaker 3>I mean, so the thing is in my field, like

0:27:18.000 --> 0:27:20.160
<v Speaker 3>we have these conferences where everyone meets to talk about

0:27:20.160 --> 0:27:22.080
<v Speaker 3>AI and it's always in some the same kind of

0:27:22.160 --> 0:27:25.240
<v Speaker 3>Hilton or Sheraton or whatever hotel in some random city.

0:27:25.560 --> 0:27:27.479
<v Speaker 3>So I have seen all the hotels in all the cities.

0:27:28.040 --> 0:27:30.480
<v Speaker 3>I wouldn't really say that I've seen the country that much.

0:27:30.520 --> 0:27:32.720
<v Speaker 3>I mean, I love to travel around California, and you

0:27:32.760 --> 0:27:33.760
<v Speaker 3>know whatever, but.

0:27:35.320 --> 0:27:38.520
<v Speaker 1>California is its own country. You've seen enough. Who is

0:27:38.560 --> 0:27:41.480
<v Speaker 1>the most famous Belgian beside yourself?

0:27:42.080 --> 0:27:46.320
<v Speaker 3>Jean Clotland, Jean Claude van Damp.

0:27:46.600 --> 0:27:47.840
<v Speaker 1>Did you like him growing up?

0:27:48.800 --> 0:27:51.520
<v Speaker 3>Yeah? I mean in the nineties I was a teenager,

0:27:51.600 --> 0:27:53.479
<v Speaker 3>so yeah, I loved the action movies.

0:27:54.240 --> 0:27:56.720
<v Speaker 1>Yeah, all right, Who's got better chocolate?

0:27:57.400 --> 0:27:57.960
<v Speaker 4>The Swiss?

0:27:58.480 --> 0:27:58.880
<v Speaker 3>Belgium?

0:27:58.920 --> 0:28:00.359
<v Speaker 1>Of course? I mean are you sure about that?

0:28:00.440 --> 0:28:00.560
<v Speaker 5>Mean?

0:28:00.600 --> 0:28:02.560
<v Speaker 3>I cannot Even if I thought differently, I couldn't tell

0:28:02.600 --> 0:28:09.760
<v Speaker 3>you on this podcast. Like there's certain things I'm not

0:28:09.800 --> 0:28:10.360
<v Speaker 3>allowed to say.

0:28:10.400 --> 0:28:11.560
<v Speaker 1>Do you miss your waffles or no?

0:28:11.800 --> 0:28:14.040
<v Speaker 3>So waffles is only for tourists. Really, waffles are not

0:28:14.080 --> 0:28:16.960
<v Speaker 3>a big deal in Belgium. Yeah. So chocolate is real,

0:28:17.320 --> 0:28:20.720
<v Speaker 3>beer is definitely real. Waffles are mostly for you guys.

0:28:21.480 --> 0:28:23.119
<v Speaker 1>Oh, we appreciate it. By the way, How do you

0:28:23.160 --> 0:28:26.040
<v Speaker 1>have your when you occasionally you've had a waffle, how

0:28:26.080 --> 0:28:27.359
<v Speaker 1>do you have Do you have it with syrup?

0:28:27.400 --> 0:28:27.800
<v Speaker 4>With cream?

0:28:27.880 --> 0:28:28.560
<v Speaker 1>Fruit? Never?

0:28:28.800 --> 0:28:29.040
<v Speaker 4>Never?

0:28:29.320 --> 0:28:34.040
<v Speaker 3>I never have waffles ever. I like a like a

0:28:34.080 --> 0:28:35.560
<v Speaker 3>French crep, like a pancake.

0:28:35.880 --> 0:28:39.480
<v Speaker 1>That's my I don't have a French crete machine. I

0:28:39.520 --> 0:28:41.720
<v Speaker 1>brought you a waffle machine.

0:28:41.120 --> 0:28:46.680
<v Speaker 3>I'll oh no, oh no, you were serious about getting

0:28:46.680 --> 0:28:47.440
<v Speaker 3>me a waffle maker.

0:28:47.440 --> 0:28:51.440
<v Speaker 1>But it's little cars and truck oh, different things.

0:28:52.400 --> 0:28:55.920
<v Speaker 4>Yeah, my daughter will love this, love love waffle maker.

0:28:56.080 --> 0:28:56.440
<v Speaker 3>Thank you.

0:28:56.520 --> 0:28:58.920
<v Speaker 4>Okay. Yeah, I don't know why I have that.

0:28:59.000 --> 0:29:00.000
<v Speaker 3>Feels mildly offended.

0:29:00.360 --> 0:29:02.600
<v Speaker 1>But you know, is that offensive to give you a

0:29:02.600 --> 0:29:03.360
<v Speaker 1>wall of making No?

0:29:03.360 --> 0:29:05.040
<v Speaker 3>No, no, it's okay. I actually would like one. I

0:29:05.040 --> 0:29:06.800
<v Speaker 3>don't think we have one, so I'll take it. I'll

0:29:06.800 --> 0:29:07.120
<v Speaker 3>take it.

0:29:07.360 --> 0:29:10.520
<v Speaker 1>Yeah, and then the next get I got you. I

0:29:10.600 --> 0:29:13.240
<v Speaker 1>love board games and I know that you know, you

0:29:13.320 --> 0:29:15.640
<v Speaker 1>played chess and stuff, so this is a but I

0:29:15.680 --> 0:29:19.960
<v Speaker 1>don't like this game and I never got into it.

0:29:19.960 --> 0:29:23.360
<v Speaker 1>Everybody buys me games because they're visually pretty. What is

0:29:23.400 --> 0:29:24.520
<v Speaker 1>this a trio? Oh?

0:29:24.560 --> 0:29:25.760
<v Speaker 4>Trio O trio.

0:29:26.200 --> 0:29:27.960
<v Speaker 1>Okay, but it's like a pretty game.

0:29:28.240 --> 0:29:29.360
<v Speaker 3>Oh yeah, I could put this.

0:29:29.520 --> 0:29:31.960
<v Speaker 1>Uh, and it's got pretty pieces they go into it.

0:29:32.040 --> 0:29:34.120
<v Speaker 3>But it's like a decorative item. This looks cool.

0:29:34.120 --> 0:29:34.440
<v Speaker 4>Thank you.

0:29:34.520 --> 0:29:37.360
<v Speaker 1>Well, yeah, I'm just like I'm gonna play this game.

0:29:38.080 --> 0:29:39.840
<v Speaker 1>It's not my game, Okay.

0:29:40.000 --> 0:29:43.000
<v Speaker 4>I stick with my rummy cub. Thank you, cube? What

0:29:43.040 --> 0:29:44.920
<v Speaker 4>do you call it? Cube? But I forget.

0:29:45.360 --> 0:29:47.240
<v Speaker 3>Don't ask me. I don't speak your language.

0:29:47.360 --> 0:29:48.640
<v Speaker 4>How many languages can you speak?

0:29:49.200 --> 0:29:52.360
<v Speaker 3>Speak Dutch, French, English, a little bit of German.

0:29:52.840 --> 0:29:53.880
<v Speaker 1>I was born in Germany.

0:29:54.160 --> 0:29:56.760
<v Speaker 3>I actually learned. Yeah, I watched your interview with the Schiff.

0:29:56.840 --> 0:29:58.720
<v Speaker 3>You were in bull Parks, you said in that song.

0:29:58.800 --> 0:29:59.560
<v Speaker 3>I was actually there.

0:30:00.000 --> 0:30:00.640
<v Speaker 1>We were in both part.

0:30:00.680 --> 0:30:03.240
<v Speaker 3>Yeah, yeah, so what happened. There was a workshop for

0:30:03.640 --> 0:30:07.840
<v Speaker 3>people to discuss AI in this weird hotel castle. It's

0:30:08.120 --> 0:30:12.280
<v Speaker 3>owned by the guy who invented gummy bears, harrybo gummy bears.

0:30:12.880 --> 0:30:15.080
<v Speaker 3>So we were just there talking about AI and then

0:30:15.640 --> 0:30:18.000
<v Speaker 3>you know, they were just gummy bears everywhere, and like

0:30:18.040 --> 0:30:21.680
<v Speaker 3>everyone's getting sick, sick eating gummy bears off the table,

0:30:21.760 --> 0:30:24.120
<v Speaker 3>and yeah, so that's why I was in both parts.

0:30:24.280 --> 0:30:26.719
<v Speaker 3>We have a lot of get togethers in German castles

0:30:26.800 --> 0:30:28.959
<v Speaker 3>in the middle of nowhere to discuss about AI.

0:30:29.320 --> 0:30:32.080
<v Speaker 1>It's the thing that is the greatest thing you've ever said.

0:30:33.320 --> 0:30:35.880
<v Speaker 1>He's in a German castle eating gummy bears.

0:30:36.200 --> 0:30:39.040
<v Speaker 3>In Beau part with like, what are these animals that

0:30:39.040 --> 0:30:41.040
<v Speaker 3>get hunted and stuffed and then put on the wall

0:30:41.080 --> 0:30:42.920
<v Speaker 3>like a rhino an elephant?

0:30:43.160 --> 0:30:44.480
<v Speaker 1>You ever shot a gun in your life?

0:30:44.960 --> 0:30:46.040
<v Speaker 3>No, I don't really want to.

0:30:46.120 --> 0:30:47.080
<v Speaker 1>I've never shot one either.

0:30:47.440 --> 0:30:49.920
<v Speaker 3>No, No, I had the opportunity. I was in Vietnam

0:30:49.960 --> 0:30:52.440
<v Speaker 3>and they're like, here for one dollar, shoot this machine gun.

0:30:52.480 --> 0:30:54.560
<v Speaker 1>I'm like, no, thank you, you served in Vietnam.

0:30:54.680 --> 0:30:55.240
<v Speaker 3>Yeah, I did.

0:30:55.480 --> 0:30:57.640
<v Speaker 4>Thanks appreciate that.

0:30:57.840 --> 0:31:00.640
<v Speaker 1>Yeah, I wasnting funny when Hollywood tried to guess the

0:31:00.680 --> 0:31:04.800
<v Speaker 1>future in movies and you're like, oh, this is such

0:31:04.840 --> 0:31:08.000
<v Speaker 1>a bad attempt. You can't predict and it just looks

0:31:08.040 --> 0:31:08.480
<v Speaker 1>so bad.

0:31:08.760 --> 0:31:09.320
<v Speaker 3>Yeah.

0:31:09.320 --> 0:31:11.640
<v Speaker 1>Do they ever come calling like, hey, we're trying to

0:31:11.640 --> 0:31:12.440
<v Speaker 1>figure something out.

0:31:12.680 --> 0:31:15.400
<v Speaker 3>No, because I'm not like a futurist, right, Like imagining

0:31:15.560 --> 0:31:17.560
<v Speaker 3>interesting future world is not really my job.

0:31:17.680 --> 0:31:20.120
<v Speaker 1>What's your what's your favorite AI movie?

0:31:20.360 --> 0:31:20.600
<v Speaker 4>Yeah?

0:31:20.600 --> 0:31:21.800
<v Speaker 3>I knew you were going to ask it, and I

0:31:21.800 --> 0:31:24.680
<v Speaker 3>don't really have one. What I really like? I really

0:31:24.760 --> 0:31:26.640
<v Speaker 3>enjoyed the first season of West World, which is not

0:31:26.680 --> 0:31:29.640
<v Speaker 3>a movie of course, like the TV series it so mad.

0:31:30.040 --> 0:31:32.680
<v Speaker 3>I started like thinking, am I a robot? Like they

0:31:32.680 --> 0:31:34.840
<v Speaker 3>really did? I watched too many episodes in a row,

0:31:34.880 --> 0:31:36.240
<v Speaker 3>but like it really got to me.

0:31:36.440 --> 0:31:39.920
<v Speaker 1>But it fell off the rails and the following season yeah, yeah,

0:31:39.960 --> 0:31:42.680
<v Speaker 1>a little bit. I want to closure in season one.

0:31:42.880 --> 0:31:45.920
<v Speaker 1>They won't ever do that with a good show. Just

0:31:46.160 --> 0:31:48.200
<v Speaker 1>one season, just figured out, and.

0:31:48.480 --> 0:31:50.320
<v Speaker 3>I mean, this is an American thing. In Europe everything

0:31:50.400 --> 0:31:52.720
<v Speaker 3>ends after two seasons. And I'm like, okay, done, let's

0:31:52.720 --> 0:31:53.280
<v Speaker 3>not ruin it.

0:31:53.360 --> 0:31:56.160
<v Speaker 1>Not everything in your great British Bakoff's been going for

0:31:56.200 --> 0:31:58.840
<v Speaker 1>a hundred years. Do you like that show or no?

0:31:59.000 --> 0:32:00.960
<v Speaker 3>I do watch I watch all of it.

0:32:01.080 --> 0:32:03.600
<v Speaker 1>Yeah, it's very enjoyable.

0:32:03.760 --> 0:32:06.000
<v Speaker 3>Yeah, I'm waiting for you to give me a handshake.

0:32:06.360 --> 0:32:08.360
<v Speaker 1>Oh, just reach across.

0:32:08.360 --> 0:32:09.440
<v Speaker 3>I haven't earned it yet.

0:32:12.800 --> 0:32:15.040
<v Speaker 4>Your your wife, you're married? Yeah?

0:32:15.120 --> 0:32:15.920
<v Speaker 1>Is she smart too?

0:32:16.480 --> 0:32:18.680
<v Speaker 3>She's very smart. She's she's smarter than me for sure.

0:32:18.800 --> 0:32:18.960
<v Speaker 4>Yeah.

0:32:19.160 --> 0:32:21.320
<v Speaker 1>Okay, is she really smarter than you?

0:32:21.440 --> 0:32:21.840
<v Speaker 4>Is that something?

0:32:21.960 --> 0:32:24.520
<v Speaker 3>It's obvious we play board games. She wouldn't every single time,

0:32:24.600 --> 0:32:25.960
<v Speaker 3>Like it's not even a competition.

0:32:26.080 --> 0:32:28.560
<v Speaker 1>What if she's a cheater? Do you think there's a possibility.

0:32:28.680 --> 0:32:32.520
<v Speaker 3>No, no, no, she would be No, no, she she's

0:32:32.720 --> 0:32:34.920
<v Speaker 3>very principled. Yeah, much more than I am.

0:32:35.040 --> 0:32:36.600
<v Speaker 4>Yeah, both you to take IQ tests.

0:32:36.640 --> 0:32:39.360
<v Speaker 1>Okay, that's what Eddie and his wife did. Eddie and

0:32:39.400 --> 0:32:41.640
<v Speaker 1>I did an IQ test. Do you do you know

0:32:41.640 --> 0:32:42.840
<v Speaker 1>what your IQ is? No?

0:32:42.960 --> 0:32:44.160
<v Speaker 3>I never wanted to do with this.

0:32:44.920 --> 0:32:45.560
<v Speaker 1>Eddie and I did it.

0:32:45.720 --> 0:32:46.360
<v Speaker 3>Yeah, what was it?

0:32:46.520 --> 0:32:48.280
<v Speaker 1>Well, he was smarter than me, and that's all that

0:32:48.320 --> 0:32:48.960
<v Speaker 1>I cared.

0:32:48.720 --> 0:32:49.719
<v Speaker 4>About, and I was upset.

0:32:49.760 --> 0:32:51.640
<v Speaker 3>Were you were you hired in one hundred?

0:32:52.400 --> 0:32:54.760
<v Speaker 1>What you were? Yeah? We were in hundreds? Were you

0:32:54.800 --> 0:32:56.760
<v Speaker 1>one hundred and thirty thirty one thirty one?

0:32:56.800 --> 0:32:58.680
<v Speaker 3>I think you were one twenty nine and Megan was

0:32:58.720 --> 0:32:59.840
<v Speaker 3>one twenty seven.

0:33:00.120 --> 0:33:02.560
<v Speaker 4>Smarter than as White. That's that's that's I'll take that, notch.

0:33:02.760 --> 0:33:05.040
<v Speaker 3>I mean, I remember in high school, like everyone was

0:33:05.080 --> 0:33:07.840
<v Speaker 3>doing these tests for being like gifted children, and so

0:33:07.840 --> 0:33:10.320
<v Speaker 3>when I felt like whenever someone was like diagnosed as gifted,

0:33:10.360 --> 0:33:11.720
<v Speaker 3>it kind of messed them up in a way. And

0:33:11.880 --> 0:33:14.000
<v Speaker 3>I was like, yeah, I don't really need to do

0:33:14.080 --> 0:33:17.600
<v Speaker 3>you like knowing everything depends not really.

0:33:19.160 --> 0:33:20.840
<v Speaker 1>Okay, are you teaching now?

0:33:20.840 --> 0:33:21.320
<v Speaker 4>Are you a professor?

0:33:21.440 --> 0:33:22.360
<v Speaker 1>Undergrad or graduate?

0:33:22.680 --> 0:33:23.080
<v Speaker 4>So both?

0:33:23.120 --> 0:33:25.440
<v Speaker 3>So I teach undergraduate one court or the other courter

0:33:25.600 --> 0:33:29.200
<v Speaker 3>graduate students, But most of my job is actually research.

0:33:29.440 --> 0:33:30.600
<v Speaker 1>Are allowed audit classes?

0:33:30.680 --> 0:33:33.000
<v Speaker 3>Oh yeah, of course. Yeah, just to come over. You

0:33:33.080 --> 0:33:35.000
<v Speaker 3>can even know the exam. I'll grade your exam for you.

0:33:35.200 --> 0:33:36.160
<v Speaker 3>You don't have to pay tuition.

0:33:36.320 --> 0:33:39.400
<v Speaker 4>No, I still have nightmares about that I didn't finish college.

0:33:39.480 --> 0:33:41.360
<v Speaker 3>I had those for a long time. Now it's like

0:33:41.480 --> 0:33:43.560
<v Speaker 3>now that I'm a professor. I'm afraid that I'm not

0:33:43.760 --> 0:33:46.600
<v Speaker 3>showing up for the exam, that I'm organizing myself, like

0:33:46.760 --> 0:33:49.640
<v Speaker 3>I oversleep or like it changes. But yeah, those nightmares

0:33:49.640 --> 0:33:49.960
<v Speaker 3>are still.

0:33:50.000 --> 0:33:50.120
<v Speaker 2>There.

0:33:50.200 --> 0:33:52.920
<v Speaker 1>Are kids using AI constantly to cheat in your classes?

0:33:53.160 --> 0:33:56.760
<v Speaker 3>Uh yeah, I think it happens a lot. But because

0:33:56.800 --> 0:33:58.400
<v Speaker 3>a lot of stuff I do is just matt it's

0:33:58.480 --> 0:33:59.840
<v Speaker 3>kind of harder to cheat. But I think if you

0:33:59.880 --> 0:34:02.000
<v Speaker 3>have to kind of write things and kind of do

0:34:02.120 --> 0:34:04.160
<v Speaker 3>more creative work, I think it's much easier to cheat.

0:34:04.600 --> 0:34:06.960
<v Speaker 1>Is cheating something that you care about as a professor.

0:34:07.400 --> 0:34:08.799
<v Speaker 3>I mean, in the end, I only care if people

0:34:08.920 --> 0:34:11.120
<v Speaker 3>learn something. If they somehow cheat and still learn something,

0:34:11.120 --> 0:34:12.640
<v Speaker 3>I guess I'm fine with it. But it's just the

0:34:12.719 --> 0:34:14.920
<v Speaker 3>fairness of it, that's you know. I feel like it's

0:34:14.960 --> 0:34:16.440
<v Speaker 3>my job do.

0:34:16.560 --> 0:34:18.839
<v Speaker 1>The old school just looking at somebody else's.

0:34:18.640 --> 0:34:20.080
<v Speaker 3>Oh yeah that happens still.

0:34:20.400 --> 0:34:21.200
<v Speaker 1>And still happens.

0:34:21.400 --> 0:34:23.399
<v Speaker 4>Yeah, yeah, yeah, that's good. Yeah yeah yeah.

0:34:23.480 --> 0:34:25.440
<v Speaker 1>I just well, I was like, oh, I don't even

0:34:25.480 --> 0:34:26.880
<v Speaker 1>know what I would do anymore.

0:34:27.600 --> 0:34:30.840
<v Speaker 4>I'd be so scared. In college. When will you have tenure?

0:34:30.880 --> 0:34:31.239
<v Speaker 4>How long?

0:34:31.760 --> 0:34:31.880
<v Speaker 2>Oh?

0:34:31.960 --> 0:34:35.000
<v Speaker 3>I got it four years ago?

0:34:35.120 --> 0:34:37.840
<v Speaker 1>Yeah? Would you ever go to a different school or

0:34:37.880 --> 0:34:38.880
<v Speaker 1>do you think you're gonna.

0:34:39.400 --> 0:34:40.960
<v Speaker 3>No, I don't think I would want to move. I

0:34:41.040 --> 0:34:43.160
<v Speaker 3>really like it here. Also, living in LA I feel

0:34:43.239 --> 0:34:45.320
<v Speaker 3>really lucky. If you're going to be a professor in

0:34:45.840 --> 0:34:48.040
<v Speaker 3>your field, usually don't get to choose where you live,

0:34:48.200 --> 0:34:50.200
<v Speaker 3>and you typically end up somewhere in the middle of

0:34:50.320 --> 0:34:53.919
<v Speaker 3>nowhere or some other country. And I'm just really lucky

0:34:53.960 --> 0:34:56.200
<v Speaker 3>that I'm in LA which is somehow the best place

0:34:56.280 --> 0:34:56.560
<v Speaker 3>to live.

0:34:56.719 --> 0:34:59.360
<v Speaker 1>During this mass exodus that they always talk about if

0:34:59.360 --> 0:35:01.239
<v Speaker 1>people believing California.

0:35:01.000 --> 0:35:02.719
<v Speaker 3>Do you actually know anyone who left? I feel like

0:35:02.760 --> 0:35:04.719
<v Speaker 3>this is something I only read about on Twitter from

0:35:04.760 --> 0:35:09.439
<v Speaker 3>people from Texas. I don't know, I've never actually seen

0:35:09.480 --> 0:35:09.879
<v Speaker 3>this happen.

0:35:10.120 --> 0:35:12.480
<v Speaker 1>Well, I looked at just actual numbers, and they like

0:35:12.520 --> 0:35:15.480
<v Speaker 1>talk about like, oh like one hundred thousand people moved

0:35:15.520 --> 0:35:18.480
<v Speaker 1>to Texas and forty thousand people from Texas moved to California.

0:35:18.520 --> 0:35:21.719
<v Speaker 1>But the one thing that I enjoyed was just that

0:35:22.640 --> 0:35:27.879
<v Speaker 1>highly educating people are still flooding to the state of California.

0:35:28.360 --> 0:35:29.040
<v Speaker 1>So I'll take it.

0:35:29.440 --> 0:35:29.600
<v Speaker 4>Yeah.

0:35:29.600 --> 0:35:32.560
<v Speaker 3>I mean also at UCLA, I think we're lucky. One

0:35:32.600 --> 0:35:34.400
<v Speaker 3>of the reasons I love to work here at UCLA

0:35:34.520 --> 0:35:36.319
<v Speaker 3>is because we get people from all over the world

0:35:36.400 --> 0:35:39.040
<v Speaker 3>that want to come here to do research and science

0:35:39.040 --> 0:35:41.600
<v Speaker 3>and engineering, and so you know, it's still kind of

0:35:41.640 --> 0:35:43.560
<v Speaker 3>displeased that everyone wants to go to and that's just

0:35:43.760 --> 0:35:45.759
<v Speaker 3>you know, if we get good students, that makes my

0:35:45.840 --> 0:35:48.040
<v Speaker 3>life so much easier. I'm a little lazy. I don't

0:35:48.080 --> 0:35:50.040
<v Speaker 3>really want to think too hard. But then if the

0:35:50.080 --> 0:35:52.520
<v Speaker 3>smart students come and work with me, then makes my

0:35:52.600 --> 0:35:53.279
<v Speaker 3>life very easy.

0:35:53.600 --> 0:35:56.719
<v Speaker 1>The campus of UCLA has always confused me. It's a

0:35:56.880 --> 0:36:03.040
<v Speaker 1>just smick dab in the middle of like of a city.

0:36:03.120 --> 0:36:04.120
<v Speaker 4>It's just so weird.

0:36:04.280 --> 0:36:07.000
<v Speaker 3>It's like between the Playboy mentioned and bel Air and

0:36:07.680 --> 0:36:10.480
<v Speaker 3>Beverly Hills and yeah, it's like crazy.

0:36:10.560 --> 0:36:12.400
<v Speaker 1>Do you have a drive around UCLA's campus.

0:36:12.600 --> 0:36:14.120
<v Speaker 4>Oh yeah, yeah, beautiful.

0:36:14.400 --> 0:36:17.480
<v Speaker 1>It's beautiful, right, but it's just so weird. It's like, oh,

0:36:17.560 --> 0:36:20.719
<v Speaker 1>I was just on Wilshire five seconds ago, and now

0:36:20.840 --> 0:36:24.239
<v Speaker 1>here I am watching kids with backpacks, like have a

0:36:24.320 --> 0:36:27.200
<v Speaker 1>college experience that is unlike anything else.

0:36:27.520 --> 0:36:29.799
<v Speaker 3>I'll give you a campus store and show you, show

0:36:29.840 --> 0:36:31.080
<v Speaker 3>you around whenever you're around.

0:36:31.239 --> 0:36:31.880
<v Speaker 4>I appreciate that.

0:36:32.440 --> 0:36:37.920
<v Speaker 1>What's the big difference between living in Belgium and living

0:36:38.160 --> 0:36:39.920
<v Speaker 1>in Los Angeles, California?

0:36:40.200 --> 0:36:41.440
<v Speaker 3>I mean, there's a good in the bed. So the

0:36:41.480 --> 0:36:44.520
<v Speaker 3>good is that it's like everything's so convenient here. The

0:36:44.640 --> 0:36:47.680
<v Speaker 3>bad thing is that in Belgium everyone's kind of equally

0:36:47.800 --> 0:36:50.160
<v Speaker 3>rich and poor, so you don't really feel bad about what,

0:36:50.440 --> 0:36:52.920
<v Speaker 3>you know, differences in wealth, and here it's kind of

0:36:53.440 --> 0:36:54.920
<v Speaker 3>crazy and uncomfortable.

0:36:55.080 --> 0:36:57.359
<v Speaker 1>Well that's why you just you stay in your lane.

0:36:57.920 --> 0:37:00.120
<v Speaker 1>So go to those those nights areas. That's why U

0:37:00.160 --> 0:37:02.480
<v Speaker 1>see La is a bad place. Oh yeah, so close

0:37:02.560 --> 0:37:03.520
<v Speaker 1>to insane.

0:37:03.640 --> 0:37:06.120
<v Speaker 3>Well I moved south because I'm like this is depressing

0:37:06.160 --> 0:37:07.200
<v Speaker 3>everyone so rich here?

0:37:07.920 --> 0:37:10.160
<v Speaker 1>Yeah, agreed?

0:37:10.360 --> 0:37:11.440
<v Speaker 4>How far south did you go?

0:37:12.000 --> 0:37:13.840
<v Speaker 3>I live right here in Marvista.

0:37:14.320 --> 0:37:17.279
<v Speaker 4>Okay, yeah, you ever go to a Dodgers game? Never been?

0:37:18.040 --> 0:37:19.040
<v Speaker 1>Do you understand baseball?

0:37:19.680 --> 0:37:22.719
<v Speaker 3>Not really? But I do. I do really enjoy even

0:37:22.719 --> 0:37:24.600
<v Speaker 3>if I don't understand the sport. I like the American

0:37:24.719 --> 0:37:27.440
<v Speaker 3>entertainment in these stadiums, Like it's very different from Europe.

0:37:27.719 --> 0:37:29.800
<v Speaker 3>In Europe you're like standing in the colt, nothing happens,

0:37:29.840 --> 0:37:32.560
<v Speaker 3>but the game here it's like a big like Disneyland circus.

0:37:32.719 --> 0:37:33.080
<v Speaker 1>I love it.

0:37:33.640 --> 0:37:34.279
<v Speaker 3>It's just fun.

0:37:34.560 --> 0:37:37.120
<v Speaker 1>I mean a Dodger game, then nothing's better than going

0:37:37.160 --> 0:37:39.280
<v Speaker 1>to a Dodger game. It's just so fun, so pretty.

0:37:40.360 --> 0:37:43.160
<v Speaker 1>I only and I'm one of those real real fans,

0:37:43.280 --> 0:37:45.879
<v Speaker 1>like La fans, where I just go once a year

0:37:46.280 --> 0:37:49.040
<v Speaker 1>and I go for like the second inning to the

0:37:49.200 --> 0:37:51.760
<v Speaker 1>fifth inning. Then I just leave right in the middle.

0:37:51.920 --> 0:37:53.719
<v Speaker 3>Did you ever ask you to do like the pitch

0:37:54.080 --> 0:37:57.960
<v Speaker 3>the yeah? Aren't you like eligible for that as a celebrity?

0:37:59.120 --> 0:37:59.680
<v Speaker 3>I feel.

0:38:01.680 --> 0:38:05.799
<v Speaker 1>They have never They've never asked. One time they had

0:38:05.840 --> 0:38:09.080
<v Speaker 1>given me free tickets and they revoked them because like

0:38:09.239 --> 0:38:11.120
<v Speaker 1>that week I said something horrible.

0:38:11.160 --> 0:38:12.879
<v Speaker 3>Oh you're a little bit too.

0:38:14.640 --> 0:38:14.839
<v Speaker 4>Yah.

0:38:14.880 --> 0:38:17.920
<v Speaker 1>But I would like to throw on a first pitch, man,

0:38:17.960 --> 0:38:20.640
<v Speaker 1>I would put some smoke on that. Dodgers, won't you

0:38:20.640 --> 0:38:21.920
<v Speaker 1>give me a ring? See if I'll throw out a

0:38:21.920 --> 0:38:22.399
<v Speaker 1>first pitch?

0:38:22.920 --> 0:38:24.120
<v Speaker 3>Invite me when it happens.

0:38:24.840 --> 0:38:26.400
<v Speaker 4>Do I have to get like your whole family?

0:38:26.520 --> 0:38:26.759
<v Speaker 3>And no?

0:38:27.520 --> 0:38:32.400
<v Speaker 4>Okay, they don't care. They don't care. Well, he, I

0:38:32.480 --> 0:38:34.560
<v Speaker 4>appreciate you being here again. Thank you very much.

0:38:34.880 --> 0:38:35.160
<v Speaker 3>Thank you.

0:38:35.480 --> 0:38:38.440
<v Speaker 4>Okay, take care, have very soft hands, do I?

0:38:38.760 --> 0:38:47.239
<v Speaker 1>Yeah, Pasha, all right, I want to thank Professor he

0:38:47.400 --> 0:38:51.120
<v Speaker 1>von Denbruch for being on the show. We learned so much.

0:38:51.719 --> 0:38:55.439
<v Speaker 1>And I'll be honest with you. I didn't notice any

0:38:55.960 --> 0:39:03.280
<v Speaker 1>audio glitches. Good job, Dylan. Speaking of AI, I've been dabbling.

0:39:04.480 --> 0:39:07.319
<v Speaker 1>I don't know if you guys watched. It was last

0:39:07.400 --> 0:39:12.600
<v Speaker 1>week Game two in Boston, the Miami Heat versus the Celtics.

0:39:13.719 --> 0:39:16.480
<v Speaker 1>You know how they on the on the floors now

0:39:16.520 --> 0:39:21.960
<v Speaker 1>they're putting ads. Well, I hacked it. And guess what,

0:39:23.719 --> 0:39:26.359
<v Speaker 1>had a little fun with the people in Boston. Only

0:39:26.400 --> 0:39:27.840
<v Speaker 1>if you if you're white. It was only up for

0:39:27.880 --> 0:39:31.160
<v Speaker 1>a few seconds. That's just that's just funny, right there,

0:39:32.239 --> 0:39:39.560
<v Speaker 1>Paul Piers and his dirty shorts needing a wheelchair. They

0:39:40.040 --> 0:39:42.719
<v Speaker 1>you know, I only had a small window to hack

0:39:42.800 --> 0:39:45.560
<v Speaker 1>the system. I got in one more time, as is

0:39:45.640 --> 0:39:51.239
<v Speaker 1>what I put up. Ah the catch, Oh it stings deep, Carl.

0:39:51.280 --> 0:39:55.480
<v Speaker 1>You see who's here. Ava. Ava is a Now some

0:39:55.600 --> 0:39:58.359
<v Speaker 1>people may remember Ava from Tosh point zero. She looks

0:39:58.360 --> 0:40:01.920
<v Speaker 1>a little different. Okay, she's very old, she's got a

0:40:01.960 --> 0:40:05.440
<v Speaker 1>lot of dementia. She gets very startled, very easy. No

0:40:05.560 --> 0:40:09.319
<v Speaker 1>matter what you do. You're sneaking up on her, which

0:40:09.400 --> 0:40:11.600
<v Speaker 1>is good when you have little kids, because they just

0:40:12.360 --> 0:40:13.799
<v Speaker 1>walk up to her and smash her in the head.

0:40:13.840 --> 0:40:18.320
<v Speaker 1>And she's like, what's going on? This is my life?

0:40:18.400 --> 0:40:21.480
<v Speaker 1>What does it become? All Right? We got some plugs,

0:40:22.520 --> 0:40:27.919
<v Speaker 1>Carl boyswearpink dot com. Check out our charitable clothing line

0:40:27.960 --> 0:40:31.920
<v Speaker 1>for toddlers. I'm almost at a break even point with

0:40:32.120 --> 0:40:36.640
<v Speaker 1>that company. That's an exciting milestone. The Goat. Big news

0:40:36.640 --> 0:40:42.520
<v Speaker 1>about The Goat now May ninth is when it premieres.

0:40:42.800 --> 0:40:47.319
<v Speaker 1>They're gonna drop three episodes at once. But now they

0:40:47.440 --> 0:40:52.280
<v Speaker 1>told me on YouTube only May second, they will drop

0:40:52.880 --> 0:40:56.719
<v Speaker 1>the first episode. So a week earlier than the premiere

0:40:57.680 --> 0:41:01.480
<v Speaker 1>is one episode, but then a week later May ninth,

0:41:01.760 --> 0:41:05.920
<v Speaker 1>on the premiere, there'll be three episodes available. So let's

0:41:05.920 --> 0:41:08.000
<v Speaker 1>go ahead, and let's go Carl, let's run that back.

0:41:08.200 --> 0:41:12.440
<v Speaker 1>The Goat premierees May ninth, but on May second, you

0:41:12.560 --> 0:41:17.440
<v Speaker 1>can watch the first episode huh interesting, only on YouTube.

0:41:18.120 --> 0:41:21.360
<v Speaker 1>Then on May ninth, you can watch the first episode

0:41:21.400 --> 0:41:25.160
<v Speaker 1>again on Prime, but you can also watch the second

0:41:25.360 --> 0:41:29.839
<v Speaker 1>and third episode. You know, the way television was meant

0:41:29.880 --> 0:41:34.759
<v Speaker 1>to be viewed. All right, I've got some tour dates

0:41:34.760 --> 0:41:37.040
<v Speaker 1>that I'd like you to go. See me at and

0:41:38.120 --> 0:41:44.239
<v Speaker 1>what else my son's bedtime story. Enjoy this little bit

0:41:44.280 --> 0:41:46.200
<v Speaker 1>of animation. See you next week.

0:41:46.880 --> 0:41:51.800
<v Speaker 5>Once upon a Hi, dear it Twitter ammals, all you

0:41:51.880 --> 0:41:56.880
<v Speaker 5>wanted to do it wide on a twin but a

0:41:57.040 --> 0:42:02.840
<v Speaker 5>Twitter put that an edition. It all the boat detached

0:42:02.920 --> 0:42:10.000
<v Speaker 5>and says they wanted off to play, but everyone a point,

0:42:10.440 --> 0:42:16.080
<v Speaker 5>they are so so happy, and then an d and

0:42:16.440 --> 0:42:24.759
<v Speaker 5>but there are too little pain. But the pigments were

0:42:26.480 --> 0:42:28.200
<v Speaker 5>like the penguins was sick.

0:42:29.320 --> 0:42:33.080
<v Speaker 6>That was like one of the many in what this

0:42:33.200 --> 0:42:34.839
<v Speaker 6>is like one of those movies at the end where

0:42:34.840 --> 0:42:36.600
<v Speaker 6>it ends the credits rule and then they have like

0:42:36.680 --> 0:42:40.200
<v Speaker 6>some extra little scenes before the movie finishes.

0:42:41.160 --> 0:42:44.280
<v Speaker 5>They talked to MADMT the other extra.

0:42:44.160 --> 0:42:47.719
<v Speaker 6>Scenes in Top Gun Maverick, Yes, all right, then yes,

0:42:47.840 --> 0:42:50.080
<v Speaker 6>like Top Don Maverick and.

0:42:51.360 --> 0:42:55.560
<v Speaker 5>The Only Soviet Days Length And then they went to

0:42:55.760 --> 0:43:00.600
<v Speaker 5>freepd end. Okay, they always wanted gender Red Dean