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Brandon here with a quick show note before

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we begin,

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due to the very visual nature of the

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subject in this episode, you may want to

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consider watching the Youtube version. By all means

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listening to the audio version, it's fun too.

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He

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Let me know when you're ready.

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I'm ready. On Here we here we go.

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Welcome to the well. I am Bright Agents,

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and I am Manson Mount.

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And where are you right, now ma'am?

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I'm in Germany.

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This is a very busy month for me.

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We're not only shooting the last episode of,

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season 3 to our drive, but

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I am

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I've been called to Germany for

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a convention,

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and I am extremely tired.

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I'm extremely jet lagged,

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and I've had a couple of drinks, so

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this is gonna be fun. It is gonna

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be fun. Look... I'm joining you all the

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way from me here.

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6 hours. Right. So 6 hours behind you,

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ma'am, and I'm trying to catch. Yep.

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So, and you'll notice that I have chosen

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to where

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a tie for the first time.

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And that is because 1,

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I feel pretty.

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Number 2,

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I am

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dressing to impress

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because I want to impress

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the coming robot overlords. Which will eventually be

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watching this episode and digesting it on the

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Internet.

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And,

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this is a job interview. So, hey, guys.

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I'm on your... I'm on your team, man.

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I'm on your team.

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No. To today, we... We're we're gonna wait

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into a slightly controversial... Subject. I didn't think

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it was that controversial, but it turns out

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it is.

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We are taking on Ai

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not all Ai ai is such a big

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word. I think people are...

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You kinda have to break it down a

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little bit, you know, by sector to discuss

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it.

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But we will be discussing Ai in the

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in creativity, specifically, visual

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visual arts. Filmmaking,

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picture making

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generative

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Ai, they say.

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And when you touch on this subject, it

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brings up a lot of pretty

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strong feelings

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from a lot of people.

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And Does...

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Yeah. What how did you feel about it

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before, you know, say we talk to Rope.

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You know, it's it's it's definitely

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the buzz word of year.

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Yeah it is...

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I feel

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a lot of ways about it. I mean,

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as an act 1 as a human 1.

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We're definitely feeling the potential repercussions of it

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in my industry,

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obviously because of what it can do in

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terms of,

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making

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imagination come true,

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very easily,

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but it's it's

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it's something that,

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I was just how many having a conversation

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this evening with an art director from the

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world of Star trek

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who introduced me to this concept of the

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uncanny valley. If you heard about this? Yes.

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Yes I have. Yeah. So the uncanny valley

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is,

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this

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phenomenon that happens with us when we... Anything

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that p ports to be human.

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That when it becomes close to human, we

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start to have rev. So for instance, if

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you put... If you put on a on

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a charge, on the x axis, our empathy

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towards the thing that looks human.

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And on the

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y axis

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on

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excuse me. So so sorry. The thing that

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how does it go? The

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the x, the y axis

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is

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our empathy towards something and the x axis

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is the closest it looks towards it being

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actually photographic.

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K? As you get

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as you get... As you go towards human,

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it gets, it goes up and up and

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up and up and up and up and

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up and up. The more it looks like

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human. But when you get close to it

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being

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exactly human, but not quite human.

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It plummet.

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We have an immediate rev. Look like, what

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is that? It is not human.

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And the most... And there are a lot

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of lot of

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theories as to why we have this response

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as human beings and the most interesting 1

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that I've come across,

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is that it's a hold over

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from when

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there were multiple species of h.

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When...

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There were not homo sapiens, but there were

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homo,

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Homo,

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there was

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pom.

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There were multiple species of people.

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That were not our species

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that we were constantly

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in conflict with.

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But they look kind of, I guess,

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and that that

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something in that

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feels true to me. I'm not sure if

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it is

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the explanation, but it feels right.

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I disagree.

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Okay. What's your theory degree?

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Oh, I have to replace it with my

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own theory. I thought just. Yes. I thought

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I could just disagree to disagree.

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No. This is mine.

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I think

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we're such...

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I mean, I don't think people understand how

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what expert face readers we are. As a

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Yeah. A species

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so much comes to our face. We are

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so weird. This is why you stare at

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anything long enough

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wood grain, clouds,

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a bag of trash, you start seeing faces

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in it because we are... Yeah. Face

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recognition machines. We're so good at it. Sure

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there's so much animals. Right? Totally. The most

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social what even more than ants,

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because they don't have faces.

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So,

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oh, just stop myself from going up an

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attention,

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Okay. I'm back.

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Faces is not chemicals. So it's not pheromones

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mo. We do it with faces We're visual.

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Because you can do that at a distance,

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and that's important.

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But if anything is wrong,

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and I'm thinking it's not...

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A hold over from way back when with

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multiple species. I think it's disease.

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I think it's

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the sign

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that something is wrong with somebody.

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The first thing we think of is

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disease.

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This person

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is injured in some way. They're sick in

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some way.

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And that lisa fact

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spray he. Yeah. Right. Yeah. Yeah. And that

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leads all kinds of other fear legends and

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myths, you know, like vampires and were and

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or where disease calls is weird behavior.

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We're just simply...

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I I think maybe we're overthinking it,

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as simple as

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those moments before death,

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you know, when

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the animation in life has gone out of

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someone's face, and we'd know what that means.

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That's,

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you know, we recognize death when it's coming,

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and it's that close. And I think that

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when we look at these sort of not

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perfectly rendered

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Cg faces

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show up or robots or something,

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we go,

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M.

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That that's a... That's that's a talking corpse.

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Right. Alright right. Yeah. No. No. Thank you.

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No. Thank you.

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And we're so good at it because they're

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very best. I mean, for example,

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you go to like Star Wars and they've

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been recreating,

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you, like, Peter Cushing character,

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grandma talking. Right? Yeah.

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That was very good.

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I think... I mean, the think but the

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take methodology that went into that. It's it's

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impressive,

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but something's wrong.

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And

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yeah. It's it's it's hard to even say

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what it is, but pathology that's the uncanny

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valley you're talking about. You know? Everybody just

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listening to right now knows the feeling that

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we're talking about. Right? Oh, hundred percent, which

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is what I I think that this is

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a very helpful

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conversation to have it at the top of

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this particular

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so... Yes. So that you're keyed into...

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What's gonna happen to you as you're listening

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to what we're about to to show you.

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Like you said, it's the is the

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word of the year Everyone's was curious about

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this.

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And,

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you know, I played with Ai generative visual

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tools a little bit, but they were just

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kinda like toys, you know, you just wanna

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experiment a little and see what happens.

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But I found on Youtube, but I don't

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remember what called my attention to this,

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but

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the work

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of a

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finish

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filmmaker,

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and an all Ai filmmaker,

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named Europa.

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And

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I really like what I was seeing, because

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I think he embraces the uncanny Valley party.

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He's not trying to fool you.

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Yeah. He's treating it as

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an expressive medium as an art, and he's

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embracing all of the weird quirks and all

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the weirdness that comes with not really fully

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being able to control this technology right now.

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And

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he was very kind

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to join us from Helsinki and talk with

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us for a few hours.

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I wanna make a note here before we

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jump into

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the interview proper.

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Which is,

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Ro is finished,

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and,

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you know, he has,

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you know, he's not as fluent and fluid

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with English

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as I am with Finnish, I don't know

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a single word. So he was the 1.

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I want people to be

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sensitive to the fact that In this interview,

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Europa is doing all the heavy lifting.

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He is trying to explain incredibly difficult

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ideas and concepts,

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And, and not his first language.

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And...

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But he's very articulate. He knows... He he

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really made me think differently

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oh, about the subject of Ai generative art,

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00:10:51,704 --> 00:10:52,903
give me a lot to think about. I'm

283
00:10:52,903 --> 00:10:54,840
still thinking about it. We recorded this

284
00:10:55,233 --> 00:10:57,940
6 months ago, and I'm still chewing on

285
00:10:57,940 --> 00:10:58,099
this.

286
00:11:00,089 --> 00:11:02,557
And 1 last thing, again, on the language

287
00:11:02,557 --> 00:11:02,795
front,

288
00:11:04,245 --> 00:11:05,840
this is my way of saying that some

289
00:11:05,840 --> 00:11:07,775
people like to listen to this podcast

290
00:11:08,710 --> 00:11:10,305
while, like, knowing the lawn or doing the

291
00:11:10,305 --> 00:11:12,971
dishes, you're gonna need to listen

292
00:11:13,346 --> 00:11:13,846
list

293
00:11:14,778 --> 00:11:16,926
at this 1 And And and also, we're

294
00:11:16,926 --> 00:11:19,631
gonna have a Youtube version. You might wanna

295
00:11:19,631 --> 00:11:22,452
really consider watch the youtube version

296
00:11:22,906 --> 00:11:25,949
to see what we're talking about. A hundred

297
00:11:26,085 --> 00:11:27,913
percent because there's gonna be passages where you're,

298
00:11:27,992 --> 00:11:29,422
you gonna... If you'd list just listed to

299
00:11:29,422 --> 00:11:31,263
this thing you're just gonna hear weird noises

300
00:11:31,263 --> 00:11:32,849
for a while, and then a bunch of

301
00:11:32,849 --> 00:11:35,467
people talking about what something looks like. And

302
00:11:35,467 --> 00:11:37,546
that's not gonna be very helpful. So we

303
00:11:37,546 --> 00:11:39,534
should suggest that you watch it.

304
00:11:40,806 --> 00:11:41,044
Yeah.

305
00:11:43,032 --> 00:11:44,225
And with no further ado.

306
00:11:45,274 --> 00:11:46,392
Rope N everyone.

307
00:11:54,628 --> 00:11:56,544
2 years ago 2 half a years ago,

308
00:11:56,783 --> 00:11:57,682
I had my

309
00:11:58,140 --> 00:12:00,375
omni life crisis so to speak. So I

310
00:12:00,375 --> 00:12:03,105
turned in 41, and I thought, well, So

311
00:12:03,264 --> 00:12:05,205
I've been alright short stories,

312
00:12:06,945 --> 00:12:07,825
writing poems.

313
00:12:08,465 --> 00:12:10,720
I've been taking pictures for... 30 years.

314
00:12:11,360 --> 00:12:13,759
I've played in balance. I've written Songs.

315
00:12:14,559 --> 00:12:16,639
In school, I he made some fields,

316
00:12:17,533 --> 00:12:19,681
If I don't, you know, do it now,

317
00:12:20,158 --> 00:12:21,988
then I will then grow all that I

318
00:12:22,147 --> 00:12:23,579
I will be extremely upset.

319
00:12:24,709 --> 00:12:26,783
So 2 and a half years ago Then

320
00:12:26,783 --> 00:12:27,421
quit my job.

321
00:12:28,459 --> 00:12:31,172
And it just so happens that that's in

322
00:12:31,172 --> 00:12:31,970
20 21.

323
00:12:32,384 --> 00:12:33,982
Well, I thought I was pretty sure as,

324
00:12:34,062 --> 00:12:36,858
you know, there will be huge new potential

325
00:12:36,858 --> 00:12:38,855
in the way people then can create.

326
00:12:39,508 --> 00:12:41,416
I started to learn to use Ai and

327
00:12:41,496 --> 00:12:44,596
I started to learn then screen writing.

328
00:12:45,311 --> 00:12:46,901
So I saw first,

329
00:12:48,268 --> 00:12:49,484
examples in

330
00:12:50,416 --> 00:12:53,677
of, then August 20 21. Yeah. But it's

331
00:12:53,677 --> 00:12:54,210
this kind of

332
00:12:54,885 --> 00:12:57,826
exponential growth so. If there's exponential growth,

333
00:12:58,462 --> 00:13:00,608
it's slight slow in the first years and

334
00:13:00,608 --> 00:13:02,777
then it then starts to explore. So

335
00:13:03,802 --> 00:13:04,939
where do you think

336
00:13:06,268 --> 00:13:08,575
we're going to be in a couple of

337
00:13:08,575 --> 00:13:09,791
years with this technology.

338
00:13:10,659 --> 00:13:12,097
I mean, right now, we're gonna get into

339
00:13:12,097 --> 00:13:14,575
this later. I wanna talk about things like

340
00:13:14,575 --> 00:13:16,732
temporal instability and all these things that make

341
00:13:16,732 --> 00:13:18,191
the Ai generated.

342
00:13:19,223 --> 00:13:20,101
Stuff so freaky.

343
00:13:20,820 --> 00:13:22,677
Like, when do you think it will get

344
00:13:23,055 --> 00:13:24,114
something that looks

345
00:13:24,971 --> 00:13:26,727
real and do we want to? Is that

346
00:13:26,727 --> 00:13:27,820
even the point

347
00:13:28,654 --> 00:13:28,813
Well.

348
00:13:29,847 --> 00:13:30,483
Those are

349
00:13:31,039 --> 00:13:33,583
michelin 2 questions because they are not. They

350
00:13:33,583 --> 00:13:35,650
don't perhaps have the same as or if,

351
00:13:35,824 --> 00:13:36,324
Ai

352
00:13:36,782 --> 00:13:39,038
reaches such a stage that it then star

353
00:13:39,176 --> 00:13:41,890
star stars then to train itself real. Then

354
00:13:41,890 --> 00:13:44,205
the speed can even more than exponential growth.

355
00:13:44,938 --> 00:13:46,615
Then to start to speed it up even

356
00:13:46,615 --> 00:13:49,489
more. We are now in September 20 23.

357
00:13:50,048 --> 00:13:52,762
So in in September 20 24. I'm pretty

358
00:13:52,762 --> 00:13:54,174
sure that, you know, pictures you

359
00:13:54,774 --> 00:13:56,073
you create will look

360
00:13:57,251 --> 00:14:00,287
in a state that most people probably can't

361
00:14:00,287 --> 00:14:00,447
tell.

362
00:14:01,166 --> 00:14:02,625
You know, is this a

363
00:14:03,019 --> 00:14:03,339
Corona.

364
00:14:05,334 --> 00:14:07,431
It has been only 6 months

365
00:14:07,809 --> 00:14:10,763
since Made that prediction, and that moment has

366
00:14:10,763 --> 00:14:11,481
already come to pass.

367
00:14:12,200 --> 00:14:12,254
Corona

368
00:14:14,757 --> 00:14:16,584
Look at these generated pictures,

369
00:14:17,537 --> 00:14:19,126
even I have gotten to the point where

370
00:14:19,285 --> 00:14:20,556
I can't tell.

371
00:14:21,207 --> 00:14:21,684
The difference.

372
00:14:23,593 --> 00:14:25,264
All of these ai tools can be used

373
00:14:25,264 --> 00:14:27,784
for 2 things. You don't either try to

374
00:14:27,983 --> 00:14:30,527
or replicate the existing world in some. Or

375
00:14:30,527 --> 00:14:32,117
you don't use it there to create something

376
00:14:32,117 --> 00:14:34,979
that does not exist today. So it's not

377
00:14:34,979 --> 00:14:35,797
a replica.

378
00:14:36,251 --> 00:14:37,069
You don't probably

379
00:14:37,778 --> 00:14:38,757
create something

380
00:14:39,933 --> 00:14:40,252
that,

381
00:14:40,890 --> 00:14:41,848
we find interesting,

382
00:14:42,486 --> 00:14:44,800
but that nobody has didn't seen before.

383
00:14:45,852 --> 00:14:48,560
I'm personally the quite excited about them this

384
00:14:48,560 --> 00:14:51,450
side. So it's not just a way to

385
00:14:52,225 --> 00:14:54,296
make the same thing or cheaper.

386
00:14:54,788 --> 00:14:57,016
Or, you know, or debate a fate version

387
00:14:57,016 --> 00:14:59,323
of the same thing, But it's actually a

388
00:14:59,323 --> 00:15:00,994
tool which you can use is to create

389
00:15:00,994 --> 00:15:01,494
something

390
00:15:01,964 --> 00:15:04,437
that nobody has to yet seen time to

391
00:15:04,437 --> 00:15:04,915
wake up.

392
00:15:08,345 --> 00:15:09,143
Where am I?

393
00:15:20,882 --> 00:15:21,815
We had a little festival

394
00:15:22,252 --> 00:15:22,411
here.

395
00:15:23,127 --> 00:15:23,627
And

396
00:15:24,082 --> 00:15:25,991
watch everything on your channel,

397
00:15:27,423 --> 00:15:28,321
and the

398
00:15:29,189 --> 00:15:31,027
And the closer it gets to real sort

399
00:15:31,027 --> 00:15:32,386
of that... Which I know is not you

400
00:15:32,386 --> 00:15:34,543
what you're going for, but when you end

401
00:15:34,543 --> 00:15:36,141
up with stuff that's generated that has all,

402
00:15:36,301 --> 00:15:38,151
you know, correct... When it's all... Works out

403
00:15:38,151 --> 00:15:40,298
for correctly for a while. It kind of

404
00:15:40,298 --> 00:15:41,808
is not as as interesting.

405
00:15:42,365 --> 00:15:44,296
Because everything else is like nothing

406
00:15:44,750 --> 00:15:45,959
anyone has ever seen for.

407
00:15:55,244 --> 00:15:58,934
Now the signature of generative video is the

408
00:15:59,152 --> 00:16:00,986
instability, the temporal and instability.

409
00:16:01,624 --> 00:16:03,538
And that right now is the most unique

410
00:16:03,538 --> 00:16:05,309
thing about it. I think I what catches

411
00:16:05,309 --> 00:16:05,809
everyone's

412
00:16:06,188 --> 00:16:08,664
eyeballs eyeballs right now, and it is like

413
00:16:08,984 --> 00:16:10,603
Lsd. It's almost the same

414
00:16:11,061 --> 00:16:11,381
experience.

415
00:16:11,940 --> 00:16:12,440
It's

416
00:16:13,232 --> 00:16:15,622
nothing stands still. I had so many thoughts

417
00:16:15,622 --> 00:16:16,679
thinking about

418
00:16:17,135 --> 00:16:19,286
what this mimics, what this looks like.

419
00:16:20,255 --> 00:16:21,684
I can look into it and I can

420
00:16:21,684 --> 00:16:22,184
see

421
00:16:22,875 --> 00:16:23,375
the

422
00:16:23,827 --> 00:16:24,327
Ai

423
00:16:25,256 --> 00:16:25,732
digesting.

424
00:16:26,129 --> 00:16:28,193
It has a digestive look to it as

425
00:16:28,193 --> 00:16:28,272
it's...

426
00:16:29,082 --> 00:16:32,103
As it's pulling sources from everything from its

427
00:16:32,103 --> 00:16:33,318
library from its learning

428
00:16:33,692 --> 00:16:35,839
and spending something back out. It looks like

429
00:16:35,839 --> 00:16:37,826
digestion. It looks like an Lsd trip,

430
00:16:38,479 --> 00:16:38,979
it's

431
00:16:39,357 --> 00:16:41,831
very hard not to watch and be slightly

432
00:16:41,831 --> 00:16:42,331
horrified.

433
00:16:44,306 --> 00:16:46,541
Because the lack of stability,

434
00:16:47,193 --> 00:16:47,693
is

435
00:16:49,496 --> 00:16:49,734
upsetting,

436
00:16:50,449 --> 00:16:50,846
I think.

437
00:16:52,037 --> 00:16:53,093
And it reminds me

438
00:16:53,466 --> 00:16:55,451
read this article a couple months ago, somebody

439
00:16:55,451 --> 00:16:55,690
did a...

440
00:16:56,819 --> 00:16:58,977
An article on famous winds,

441
00:16:59,536 --> 00:17:01,294
wind to pattern throughout the globe.

442
00:17:01,934 --> 00:17:03,452
And every now and then, sometimes it's a

443
00:17:03,452 --> 00:17:05,710
yearly, sometimes just 7 years or whatever

444
00:17:06,822 --> 00:17:08,976
some part of the world will have these

445
00:17:08,976 --> 00:17:10,730
crazy wins that come through,

446
00:17:11,368 --> 00:17:13,304
and those moments are always associated

447
00:17:13,682 --> 00:17:15,059
with higher incidence

448
00:17:15,436 --> 00:17:15,936
of

449
00:17:16,567 --> 00:17:16,726
homicide.

450
00:17:19,112 --> 00:17:21,919
And there is something ag agitated

451
00:17:22,612 --> 00:17:24,306
about nothing standing still

452
00:17:25,094 --> 00:17:27,512
and it gets to us at a really

453
00:17:27,971 --> 00:17:28,930
really deep level.

454
00:17:29,809 --> 00:17:30,469
I spent

455
00:17:31,168 --> 00:17:32,307
an hour watching,

456
00:17:32,686 --> 00:17:34,856
yeah, your films last night. On a big

457
00:17:34,856 --> 00:17:36,368
screen, big sound system,

458
00:17:37,403 --> 00:17:37,903
and

459
00:17:38,676 --> 00:17:39,574
it did something

460
00:17:40,029 --> 00:17:42,497
to my head. It did something neurological to

461
00:17:42,497 --> 00:17:43,554
my visual processing

462
00:17:44,182 --> 00:17:44,682
sis

463
00:17:45,134 --> 00:17:45,452
system.

464
00:17:46,245 --> 00:17:47,832
And then we said, okay. Well, and that's

465
00:17:47,832 --> 00:17:49,498
starting to get to. Let's watch something else

466
00:17:49,498 --> 00:17:49,657
now.

467
00:17:50,371 --> 00:17:51,743
Now everything else

468
00:17:52,766 --> 00:17:55,145
I was... I... Everything else was suspect after

469
00:17:55,145 --> 00:17:56,755
that all traditionally

470
00:17:57,444 --> 00:17:59,744
produced video. I was like, I don't know.

471
00:18:00,632 --> 00:18:02,378
I don't know. Now. He's gonna do something.

472
00:18:02,696 --> 00:18:06,348
It's gonna do something. Expected. My my brain

473
00:18:06,348 --> 00:18:07,697
didn't trust my eyes anymore.

474
00:18:09,228 --> 00:18:11,545
After after watching it for maybe too long,

475
00:18:12,504 --> 00:18:14,502
those are my feelings, and, now would like

476
00:18:14,502 --> 00:18:15,940
to hear what y'all think about that.

477
00:18:18,355 --> 00:18:20,514
I've been out then staring up these videos

478
00:18:20,514 --> 00:18:22,914
for like, many years. So III

479
00:18:22,914 --> 00:18:25,369
see it all, man. So I I think

480
00:18:25,568 --> 00:18:28,033
It's it's my mind is kind of lighting

481
00:18:28,033 --> 00:18:28,749
in a very...

482
00:18:29,385 --> 00:18:31,770
I didn't appreciate the state of, like, being

483
00:18:31,770 --> 00:18:33,145
able in the questionnaire.

484
00:18:33,614 --> 00:18:34,012
Question it.

485
00:18:34,808 --> 00:18:37,038
Everything nicely see. I put my videos on

486
00:18:37,038 --> 00:18:39,825
the Tiktok, and, the number 1 comment is

487
00:18:39,825 --> 00:18:41,976
kind like. It's slight a fever dream or

488
00:18:41,976 --> 00:18:42,809
it's It's,

489
00:18:43,823 --> 00:18:44,063
dreams.

490
00:18:45,816 --> 00:18:48,606
People may say that Rope films feel or

491
00:18:48,606 --> 00:18:49,801
look like fever dreams.

492
00:18:50,693 --> 00:18:52,310
But that comparison

493
00:18:52,928 --> 00:18:55,502
suggests a stream of consciousness or

494
00:18:56,917 --> 00:18:58,789
automation that it is not

495
00:18:59,170 --> 00:19:00,850
part of his filmmaking process.

496
00:19:01,650 --> 00:19:03,509
It is not automated, the technology

497
00:19:03,890 --> 00:19:05,910
does not exist yet

498
00:19:06,529 --> 00:19:08,778
to think of an idea and have the

499
00:19:08,778 --> 00:19:11,799
computer generated from, say, a brain implant.

500
00:19:12,833 --> 00:19:15,639
So where do Rope ideas come from

501
00:19:15,949 --> 00:19:16,926
this kind of a

502
00:19:17,300 --> 00:19:19,209
boring question to ask any artist who knows.

503
00:19:19,606 --> 00:19:21,673
But this case, what is interesting is how

504
00:19:21,673 --> 00:19:24,059
does he turn those ideas into sight and

505
00:19:24,059 --> 00:19:24,297
sound.

506
00:19:30,579 --> 00:19:31,768
At the end of the day, you know,

507
00:19:32,006 --> 00:19:32,878
you want to tell.

508
00:19:33,448 --> 00:19:35,853
L story. So be it a a cartoon

509
00:19:35,909 --> 00:19:37,362
or a movie or,

510
00:19:38,053 --> 00:19:40,752
photos or a book for with the kind

511
00:19:40,752 --> 00:19:42,221
of the Meta.

512
00:19:42,834 --> 00:19:45,459
So, I mean, I a screen play. But

513
00:19:45,459 --> 00:19:47,368
the interesting thing there is that kind of

514
00:19:47,368 --> 00:19:47,868
like

515
00:19:49,457 --> 00:19:49,957
Stream

516
00:19:50,654 --> 00:19:53,927
a move then traditionally if you would write

517
00:19:53,927 --> 00:19:55,523
it, you were probably write it in a

518
00:19:55,523 --> 00:19:57,692
way that you would consider that how can

519
00:19:57,692 --> 00:20:00,073
it be filled. So I mean, it needs

520
00:20:00,073 --> 00:20:02,532
to be realistic in terms of flying, you

521
00:20:02,532 --> 00:20:04,516
know, the real world, but also the budget,

522
00:20:04,849 --> 00:20:06,708
If I want to pay place a story

523
00:20:07,007 --> 00:20:09,085
into the New Year's subway, I can.

524
00:20:09,884 --> 00:20:11,882
I don't need to get permissions in that

525
00:20:11,882 --> 00:20:12,122
way.

526
00:20:13,161 --> 00:20:15,573
He's coming this way. We'll cut the power

527
00:20:15,573 --> 00:20:17,591
once he gets near. What was he talking

528
00:20:17,730 --> 00:20:20,766
about? Sir? Listen to me carefully. There are

529
00:20:20,766 --> 00:20:22,045
no rats in the subway.

530
00:20:25,480 --> 00:20:27,150
It is a new form. So is it

531
00:20:27,150 --> 00:20:27,650
like

532
00:20:28,422 --> 00:20:31,921
film or the theater or you know, it

533
00:20:31,921 --> 00:20:34,030
is what's the difference between

534
00:20:35,205 --> 00:20:35,705
Tie

535
00:20:36,402 --> 00:20:39,592
play a Tv show or a field version

536
00:20:39,592 --> 00:20:41,666
of same thing? It's the same, but it's

537
00:20:41,666 --> 00:20:43,596
different. I do it in the its own

538
00:20:43,596 --> 00:20:43,915
form.

539
00:20:44,474 --> 00:20:46,230
If we draw 5 years to the future,

540
00:20:47,587 --> 00:20:50,540
it is probably possible then go the persistent

541
00:20:50,540 --> 00:20:53,346
forms. Then also quite well. I was about

542
00:20:53,346 --> 00:20:55,737
to say, I'm getting the sense now that

543
00:20:55,817 --> 00:20:58,129
I've seen your work that at least in

544
00:20:58,129 --> 00:20:58,948
terms of

545
00:21:00,611 --> 00:21:01,008
entertainment,

546
00:21:02,200 --> 00:21:03,574
it's not so much

547
00:21:04,346 --> 00:21:06,571
a new tool as it is a whole

548
00:21:06,571 --> 00:21:07,071
new

549
00:21:07,445 --> 00:21:07,763
instrument,

550
00:21:09,050 --> 00:21:09,210
Yep.

551
00:21:10,005 --> 00:21:13,268
Yeah. And and 1 unlike, we've ever seen,

552
00:21:13,507 --> 00:21:14,961
like, a complete software

553
00:21:15,337 --> 00:21:15,655
instrument.

554
00:21:16,785 --> 00:21:18,615
What... What I'm curious about is,

555
00:21:19,730 --> 00:21:21,242
first of all, I I do wanna I

556
00:21:21,401 --> 00:21:22,755
I do wanna get some sense of your

557
00:21:22,755 --> 00:21:25,724
your process about... Your inputs, your specific inputs.

558
00:21:26,445 --> 00:21:26,684
But,

559
00:21:27,644 --> 00:21:28,384
in watching

560
00:21:28,924 --> 00:21:29,744
your videos,

561
00:21:31,658 --> 00:21:34,765
the difference between, say, the meta morph, which

562
00:21:34,765 --> 00:21:36,381
is highly narrative

563
00:21:37,553 --> 00:21:40,218
story. Right? And the music videos

564
00:21:40,912 --> 00:21:42,208
is so

565
00:21:42,823 --> 00:21:44,972
different. There seems to be something in the

566
00:21:44,972 --> 00:21:46,188
music videos that

567
00:21:47,055 --> 00:21:49,279
I guess, because there's an existing piece of

568
00:21:49,279 --> 00:21:51,742
material it's able to lock onto to that.

569
00:21:52,616 --> 00:21:54,522
And so there's a there's a cohesion in

570
00:21:54,522 --> 00:21:55,952
the flow of the music videos.

571
00:21:57,396 --> 00:21:57,896
That

572
00:21:58,427 --> 00:22:00,490
isn't really there yet in the in the

573
00:22:00,490 --> 00:22:02,553
narratives. Am I am I getting that correct?

574
00:22:02,712 --> 00:22:03,640
Is it... Or

575
00:22:04,079 --> 00:22:06,579
are you... Is that what it is? And

576
00:22:06,960 --> 00:22:07,700
are you

577
00:22:08,079 --> 00:22:09,380
inputting the video

578
00:22:09,680 --> 00:22:12,088
first or you telling it, basically telling this

579
00:22:12,088 --> 00:22:14,634
software go find this video and do something

580
00:22:14,634 --> 00:22:14,952
to it.

581
00:22:15,668 --> 00:22:17,816
So you're gonna either create any videos.

582
00:22:18,390 --> 00:22:20,009
So it then a references

583
00:22:20,470 --> 00:22:20,970
on

584
00:22:21,830 --> 00:22:24,789
existing video. So say you have a video

585
00:22:24,789 --> 00:22:25,509
of something.

586
00:22:26,004 --> 00:22:28,072
You don't then hand that video over to

587
00:22:28,072 --> 00:22:30,379
the Ai. So you have some sense of

588
00:22:30,379 --> 00:22:32,606
control, but you don't still make changes.

589
00:22:33,099 --> 00:22:35,097
Then the other way you gotta create is

590
00:22:35,097 --> 00:22:37,973
that you don't have the Ai a video,

591
00:22:38,373 --> 00:22:40,610
but to hand it different input. So you

592
00:22:40,610 --> 00:22:43,172
don't had a picture then to start with.

593
00:22:44,047 --> 00:22:45,637
You can add some text prompts.

594
00:22:46,512 --> 00:22:48,600
You can add it some kind of,

595
00:22:49,640 --> 00:22:50,140
additional

596
00:22:50,600 --> 00:22:51,400
directions. You can tell.

597
00:22:52,119 --> 00:22:53,000
Here's a picture.

598
00:22:54,279 --> 00:22:57,033
Please move the camera to the right slowly

599
00:22:57,489 --> 00:22:59,002
and then you the right the prompt light,

600
00:22:59,559 --> 00:23:03,165
personal talking. And and then then it then

601
00:23:03,382 --> 00:23:04,837
tries to take the picture

602
00:23:05,149 --> 00:23:05,950
find a person,

603
00:23:06,349 --> 00:23:08,909
then they make them talk, and then they

604
00:23:08,909 --> 00:23:10,909
move the camera to the right. But it

605
00:23:10,909 --> 00:23:13,149
has no additional on their inputs.

606
00:23:13,803 --> 00:23:16,195
So basically, those those those 2 ways are

607
00:23:16,195 --> 00:23:18,190
the main ways you go at this moment

608
00:23:18,190 --> 00:23:20,263
then create videos. Yeah. So the... Because that

609
00:23:20,343 --> 00:23:21,858
I was gonna say that that

610
00:23:23,470 --> 00:23:25,009
If you were to take that

611
00:23:25,950 --> 00:23:28,109
smashing pumpkins video of Share Brock.

612
00:23:37,958 --> 00:23:40,270
And look go back in time and just

613
00:23:40,270 --> 00:23:42,365
sort of plop that down

614
00:23:43,220 --> 00:23:46,144
in the zeitgeist of 19 94. It at

615
00:23:46,343 --> 00:23:48,810
absolutely without a doubt would have won best

616
00:23:48,810 --> 00:23:50,560
video of the year. No question.

617
00:23:51,276 --> 00:23:52,470
And the same for for the,

618
00:23:54,238 --> 00:23:56,314
what was the other 1? The the the

619
00:23:56,314 --> 00:23:57,372
offspring video was

620
00:23:57,990 --> 00:23:58,490
amazing.

621
00:24:03,194 --> 00:24:05,108
Mean there's some sort of anime thing going

622
00:24:05,108 --> 00:24:07,421
on there. What what did you... What did

623
00:24:07,421 --> 00:24:09,495
you... What's the... What were the inputs for

624
00:24:09,495 --> 00:24:10,452
the off offspring video?

625
00:24:11,090 --> 00:24:12,946
So in the case of these music videos

626
00:24:13,417 --> 00:24:16,122
you can configure not only tips browser but

627
00:24:16,122 --> 00:24:18,134
you can actually already train

628
00:24:18,509 --> 00:24:20,911
or then fine to then a term. You

629
00:24:20,911 --> 00:24:23,162
can actually, you know, fine tune the Ai

630
00:24:23,378 --> 00:24:24,116
by enough

631
00:24:24,492 --> 00:24:26,720
to work in a specific and resource or

632
00:24:26,720 --> 00:24:27,118
style.

633
00:24:27,675 --> 00:24:29,357
It's or the flip side of this kind

634
00:24:29,357 --> 00:24:29,516
of,

635
00:24:30,627 --> 00:24:33,088
that the more day I then create than

636
00:24:33,088 --> 00:24:34,835
the artery is than the contra at the

637
00:24:34,835 --> 00:24:37,398
same time. The real kind of skill for

638
00:24:37,398 --> 00:24:39,254
an Ai artist is absolutely

639
00:24:39,791 --> 00:24:41,944
control. This is what I really wanna get

640
00:24:41,944 --> 00:24:43,380
into. This is the part that fa makes

641
00:24:43,380 --> 00:24:44,656
me the most as someone who...

642
00:24:46,102 --> 00:24:48,111
Grew up at wearing the dat and

643
00:24:48,802 --> 00:24:50,017
Max Ernst and

644
00:24:50,788 --> 00:24:51,423
the surreal.

645
00:24:52,138 --> 00:24:54,147
They would frequently intentionally

646
00:24:55,014 --> 00:24:55,753
do things

647
00:24:56,291 --> 00:24:56,791
to

648
00:24:58,207 --> 00:24:59,266
put a little distance

649
00:24:59,884 --> 00:25:02,598
between the art and their level of control,

650
00:25:02,997 --> 00:25:04,056
introduce some accident

651
00:25:04,448 --> 00:25:06,515
Yeah. That was exactly my next question. Yeah.

652
00:25:06,674 --> 00:25:08,899
Yeah. Yeah. There was there was a, you

653
00:25:08,899 --> 00:25:10,727
know, from Us and collage and all these

654
00:25:10,727 --> 00:25:12,714
different things of Max ernst would, you know,

655
00:25:13,032 --> 00:25:14,501
squeeze. Plates of

656
00:25:15,828 --> 00:25:18,530
glass plates with paint together, un stick them

657
00:25:18,530 --> 00:25:19,881
and then let that dry and look at

658
00:25:19,881 --> 00:25:21,708
it and say, alright. What does that look

659
00:25:21,708 --> 00:25:25,066
like? And kinda sharpen it using the, you

660
00:25:25,066 --> 00:25:28,011
know, the old kind of hardware, the, brain.

661
00:25:28,569 --> 00:25:30,263
It's pattern in recognition to

662
00:25:31,050 --> 00:25:32,561
flesh out the idea and turn it into

663
00:25:32,561 --> 00:25:35,581
something a little more sc. And you're clearly,

664
00:25:37,171 --> 00:25:38,522
I mean, you're you're down in the trenches

665
00:25:38,522 --> 00:25:40,683
with us all the time. And dealing with

666
00:25:40,683 --> 00:25:42,035
a machine that doesn't...

667
00:25:43,546 --> 00:25:45,397
That that does put a bit of distance

668
00:25:45,454 --> 00:25:48,555
between your idea and whatever that final output

669
00:25:48,555 --> 00:25:50,481
is going to be which is why I

670
00:25:50,481 --> 00:25:51,915
think that your,

671
00:25:52,951 --> 00:25:54,966
sub heading on your Youtube channel

672
00:25:55,342 --> 00:25:56,538
is so fitting,

673
00:25:57,907 --> 00:26:00,452
en sla Ai to make some art.

674
00:26:01,406 --> 00:26:01,906
How

675
00:26:02,758 --> 00:26:05,246
cooperative are these Ai slaves

676
00:26:06,115 --> 00:26:07,474
And how do you make and do your

677
00:26:07,474 --> 00:26:07,714
bidding?

678
00:26:08,595 --> 00:26:11,315
Part of this is a temporary problem software

679
00:26:11,315 --> 00:26:12,774
us, You know, the way

680
00:26:13,075 --> 00:26:15,174
we humans now talk with Ai.

681
00:26:15,806 --> 00:26:16,941
Especially with this product

682
00:26:17,711 --> 00:26:18,187
all tools.

683
00:26:18,902 --> 00:26:21,362
It's the worst study will be... So it

684
00:26:21,362 --> 00:26:22,950
will be much better in 3 months and

685
00:26:22,950 --> 00:26:25,031
months at 12 months. So of course, It's

686
00:26:25,031 --> 00:26:25,429
like,

687
00:26:26,305 --> 00:26:27,841
especially when A film

688
00:26:28,297 --> 00:26:28,797
major

689
00:26:29,173 --> 00:26:31,164
is all by themselves, you know, And they

690
00:26:31,164 --> 00:26:33,804
don't have nobody to talk to, They don't

691
00:26:33,804 --> 00:26:34,700
have spontaneous

692
00:26:35,388 --> 00:26:38,241
inputs that are like then highly than something

693
00:26:38,241 --> 00:26:39,984
else that what they're thinking in themselves.

694
00:26:40,634 --> 00:26:41,033
But now,

695
00:26:41,750 --> 00:26:43,026
especially with the Ai tools,

696
00:26:44,302 --> 00:26:46,455
they it it... They quite often comes back

697
00:26:46,455 --> 00:26:48,927
with such suggestions that are completely light and

698
00:26:48,927 --> 00:26:52,119
brain dead. But they're like braid in a

699
00:26:52,119 --> 00:26:54,419
way. So it it it it really started

700
00:26:54,419 --> 00:26:57,140
to push me. So it... So I see

701
00:26:58,163 --> 00:27:00,309
see the potential there. So I mean, always,

702
00:27:00,469 --> 00:27:01,979
if you had a team of, you know,

703
00:27:02,456 --> 00:27:05,160
often the creative people, it made sense to

704
00:27:05,160 --> 00:27:07,880
have people who have completely different ideas. In

705
00:27:07,880 --> 00:27:10,359
the case of, you know, on Ai, then

706
00:27:10,359 --> 00:27:12,440
you don't have to save personal problems.

707
00:27:12,919 --> 00:27:14,759
So you get results that are like, you

708
00:27:14,759 --> 00:27:16,039
know, sometimes they're fantastic.

709
00:27:16,613 --> 00:27:19,244
Thumb down the stair, completely insane, but you

710
00:27:19,244 --> 00:27:20,838
don't start to hate, you know the person,

711
00:27:21,635 --> 00:27:23,947
and vice. And the person don't start to

712
00:27:23,947 --> 00:27:26,351
hate you, So when you see like than

713
00:27:26,351 --> 00:27:29,137
crazy Ideas each day, it probably it might

714
00:27:29,137 --> 00:27:31,365
that help you. Can you kinda take 1

715
00:27:31,365 --> 00:27:32,240
of your videos?

716
00:27:32,654 --> 00:27:34,407
That that we've seen on your channel and

717
00:27:34,407 --> 00:27:36,559
sort of run us through the process,

718
00:27:37,435 --> 00:27:38,870
give us an example of 1 that you

719
00:27:38,870 --> 00:27:41,116
said, okay. Do this. It came back. It

720
00:27:41,116 --> 00:27:41,515
was like,

721
00:27:42,471 --> 00:27:43,427
what the fuck is at.

722
00:27:44,941 --> 00:27:45,339
And then.

723
00:27:46,056 --> 00:27:47,172
And then you... And then you've... And the...

724
00:27:47,251 --> 00:27:48,765
But then you gave you an idea and

725
00:27:48,765 --> 00:27:50,771
you kept running with it. Can I don't

726
00:27:50,771 --> 00:27:53,000
write a script in all cases? So if

727
00:27:53,000 --> 00:27:55,468
it's a short film, it's then in my

728
00:27:55,468 --> 00:27:57,776
head. The best way to make video is

729
00:27:57,776 --> 00:27:59,980
to is to actually then the reference pick

730
00:28:00,178 --> 00:28:03,599
pictures. So you actually then create huge amount

731
00:28:03,599 --> 00:28:04,576
of pictures

732
00:28:05,031 --> 00:28:07,671
off then from the screen play. So you

733
00:28:07,671 --> 00:28:10,455
try to create each shot. So here, I'm

734
00:28:10,455 --> 00:28:11,353
using this

735
00:28:11,728 --> 00:28:12,603
stable diffusion.

736
00:28:13,478 --> 00:28:16,198
I have my own computers at home. So

737
00:28:16,358 --> 00:28:17,018
I then

738
00:28:17,634 --> 00:28:20,107
leave the computer is their on then for

739
00:28:20,107 --> 00:28:22,420
the night, then I come back in the

740
00:28:22,420 --> 00:28:25,052
guide of the and and I have a

741
00:28:25,052 --> 00:28:26,817
thousand feature. My gosh.

742
00:28:27,850 --> 00:28:29,439
90 percent of the pictures are bad.

743
00:28:30,472 --> 00:28:32,402
5 percent are usable.

744
00:28:33,189 --> 00:28:35,184
And then 5 percent or the 1 percent

745
00:28:35,184 --> 00:28:37,978
has something that I didn't didn't expect. Wow,

746
00:28:38,377 --> 00:28:38,537
okay.

747
00:28:39,335 --> 00:28:41,625
I mean, the perfect example here is

748
00:28:42,062 --> 00:28:43,733
is is is the crow.

749
00:28:44,529 --> 00:28:46,518
So then... When I started story, Item I

750
00:28:46,518 --> 00:28:48,587
then didn't know how it would end yet.

751
00:28:49,400 --> 00:28:52,200
So I I knew what that what the

752
00:28:52,200 --> 00:28:53,960
crow will do in in the story.

753
00:28:54,599 --> 00:28:56,299
But I didn't yet

754
00:28:56,680 --> 00:28:59,186
understand that that the crow will actually then

755
00:28:59,561 --> 00:29:02,502
replace the person. But then I saw these

756
00:29:02,502 --> 00:29:03,376
pictures for a while.

757
00:29:03,853 --> 00:29:05,919
I saw the saw the guy nest in

758
00:29:05,919 --> 00:29:06,237
the house,

759
00:29:06,970 --> 00:29:08,409
And then have after I saw it for

760
00:29:08,409 --> 00:29:10,889
a few days, it's then then my then

761
00:29:10,889 --> 00:29:11,629
my brain

762
00:29:12,089 --> 00:29:14,809
which is sound slow. It then started to

763
00:29:14,809 --> 00:29:17,134
realize. Yes. Of course. That's the way I

764
00:29:17,134 --> 00:29:19,600
should then start to end the kind of

765
00:29:19,600 --> 00:29:22,066
the story. So the whole process was like,

766
00:29:22,878 --> 00:29:24,554
You do dupont, you see these pictures,

767
00:29:25,990 --> 00:29:27,426
and then you find the best ones of

768
00:29:27,426 --> 00:29:29,340
the shots, and I go to step 3,

769
00:29:30,468 --> 00:29:33,402
So most people nowadays, at this moment use

770
00:29:33,402 --> 00:29:33,902
this

771
00:29:34,909 --> 00:29:35,805
service called

772
00:29:36,812 --> 00:29:37,312
out.

773
00:29:37,859 --> 00:29:39,137
And they have this,

774
00:29:40,895 --> 00:29:42,573
feature called then Gen 2...

775
00:29:43,372 --> 00:29:45,935
So basically, the way... The gen 2 works

776
00:29:45,935 --> 00:29:47,682
is... You can feed it a pitcher and

777
00:29:47,682 --> 00:29:48,159
a prompt.

778
00:29:49,112 --> 00:29:51,176
So here you can see from the terminals

779
00:29:51,176 --> 00:29:53,558
thumbnails that they they all start from a

780
00:29:53,558 --> 00:29:56,703
pitcher. Then tries then to create a shot

781
00:29:56,841 --> 00:29:58,356
from the picture and the front.

782
00:29:59,472 --> 00:30:01,067
But, you know, this 1 also have... Has

783
00:30:01,067 --> 00:30:03,221
to same issue as with the picture. So

784
00:30:03,221 --> 00:30:04,903
sometimes that is I didn't see the result,

785
00:30:05,617 --> 00:30:07,916
and I didn't start to think about this

786
00:30:07,916 --> 00:30:10,533
story. I have this. I think there's like

787
00:30:10,533 --> 00:30:12,297
1400

788
00:30:12,297 --> 00:30:14,392
of these, you know, that I made

789
00:30:14,849 --> 00:30:17,161
and in Yeah. And then in the final

790
00:30:17,161 --> 00:30:19,952
1, they flight 800 in our shots How

791
00:30:19,952 --> 00:30:22,274
much of the of your time goes into

792
00:30:22,274 --> 00:30:23,568
just writing the prompts

793
00:30:24,021 --> 00:30:25,133
before did you get the to get the

794
00:30:25,133 --> 00:30:25,610
steel images?

795
00:30:26,404 --> 00:30:28,390
I didn't... Oh, Run I'm through the screen

796
00:30:28,390 --> 00:30:28,890
play

797
00:30:29,439 --> 00:30:31,037
I don't pretty much hate lighten in.

798
00:30:32,794 --> 00:30:35,590
I'm every single line, and, you know, that's

799
00:30:35,590 --> 00:30:36,070
a prompt.

800
00:30:36,722 --> 00:30:38,872
In terms of this over process is like

801
00:30:38,872 --> 00:30:41,102
5 percent of time. So my approach is

802
00:30:41,102 --> 00:30:42,933
kind of a kind of them improved for

803
00:30:42,933 --> 00:30:45,916
us approach. So I'm I would called ben

804
00:30:46,052 --> 00:30:48,836
for for for a kind of the lack

805
00:30:48,836 --> 00:30:49,393
of control,

806
00:30:50,109 --> 00:30:51,621
but, you know, I just made a...

807
00:30:52,588 --> 00:30:55,287
8000 pictures. And then then find the ones

808
00:30:55,287 --> 00:30:55,843
that I like.

809
00:30:57,112 --> 00:31:00,329
Well, specifically, do you go in edit individual

810
00:31:00,470 --> 00:31:02,070
images, let's say, in a different program,

811
00:31:02,869 --> 00:31:05,190
photoshop just kinda help steer it? Or do

812
00:31:05,190 --> 00:31:07,029
you pretty much take those images straight out

813
00:31:07,029 --> 00:31:08,797
of stable diffusion and say,

814
00:31:09,671 --> 00:31:11,739
I can make this work. I don't... I

815
00:31:11,898 --> 00:31:14,283
I have no intention to to keep a

816
00:31:14,363 --> 00:31:17,067
Ai art like, pure in a way. I

817
00:31:17,067 --> 00:31:17,440
don't.

818
00:31:18,838 --> 00:31:21,075
I don't think no. That's not meaningful to

819
00:31:21,075 --> 00:31:22,912
me. All the kind of tricks you know,

820
00:31:23,152 --> 00:31:24,430
or did fe key aims amazon.

821
00:31:25,163 --> 00:31:27,710
So then I do it this shots then

822
00:31:27,790 --> 00:31:30,177
I find the best ones. The interesting part

823
00:31:30,177 --> 00:31:32,008
here is offers that now we... When you

824
00:31:32,008 --> 00:31:33,997
go to the video world, it's not just

825
00:31:33,997 --> 00:31:34,475
video, but it.

826
00:31:35,922 --> 00:31:38,308
Voice music. If you do a short feel

827
00:31:38,308 --> 00:31:40,558
naturally, has spend more time on

828
00:31:41,012 --> 00:31:43,343
the rest than the actual picture and they

829
00:31:43,343 --> 00:31:46,060
got a lot the video parts. So picture

830
00:31:46,060 --> 00:31:47,818
and video at a like 1 third of

831
00:31:47,818 --> 00:31:49,816
the time I spent, and and actually, you

832
00:31:49,816 --> 00:31:51,848
know, 2 thirds both to

833
00:31:52,537 --> 00:31:53,037
sound

834
00:31:53,805 --> 00:31:56,341
speech music sound effects. If if I may,

835
00:31:56,658 --> 00:31:58,164
if I may, I just wanna jump in

836
00:31:58,164 --> 00:32:00,006
and interrupt and just before... Because I don't

837
00:32:00,006 --> 00:32:01,118
get a chance to do it later and

838
00:32:01,118 --> 00:32:03,265
compliment you. I'm a as a film editor,

839
00:32:03,662 --> 00:32:03,821
myself,

840
00:32:04,695 --> 00:32:08,289
your sound design is... Beautiful. Yeah. It's so

841
00:32:08,289 --> 00:32:10,836
good. And it's... And it goes... It does

842
00:32:10,836 --> 00:32:13,941
so much work to contextualize and make all

843
00:32:13,941 --> 00:32:14,998
of those wild

844
00:32:15,453 --> 00:32:15,953
images

845
00:32:17,059 --> 00:32:19,127
stick together, talk to each other that makes

846
00:32:19,127 --> 00:32:21,273
it cohesive. I think your sound work is...

847
00:32:22,069 --> 00:32:23,659
Everyone talks about the Ai, but I've I've

848
00:32:23,659 --> 00:32:25,409
noticed your sound work, buddy is brilliant.

849
00:32:27,095 --> 00:32:28,848
Now are you are are you adding? Are

850
00:32:28,848 --> 00:32:30,361
you at or do... Are you doing the

851
00:32:30,361 --> 00:32:30,999
sound work?

852
00:32:33,403 --> 00:32:35,785
Is that completely built by you or any

853
00:32:35,785 --> 00:32:36,420
of that Ai?

854
00:32:37,214 --> 00:32:38,961
Yeah... Yeah. I mean, I, I do spend

855
00:32:38,961 --> 00:32:40,946
a lot of time on the silent parts.

856
00:32:41,517 --> 00:32:44,216
1 of my obvious is that I... I

857
00:32:44,216 --> 00:32:46,677
am a musician in a way. I've played

858
00:32:46,677 --> 00:32:47,971
some bands. I'd played

859
00:32:48,582 --> 00:32:50,114
guitar some, some

860
00:32:50,901 --> 00:32:53,367
best. It's fun and it's important. So I

861
00:32:53,447 --> 00:32:55,356
I didn't know, I've tried to use some

862
00:32:55,356 --> 00:32:57,903
of these Ai tools. So Ai tools tools

863
00:32:57,903 --> 00:33:00,625
for for music are not get there for

864
00:33:00,625 --> 00:33:00,943
me.

865
00:33:01,979 --> 00:33:04,369
I do use sound... I do use a,

866
00:33:04,528 --> 00:33:07,019
I to create large sound effects. So

867
00:33:07,714 --> 00:33:08,374
we just

868
00:33:09,402 --> 00:33:11,315
that has the potential then they to create

869
00:33:11,315 --> 00:33:13,864
something fantastic. So. If the pictures are, you

870
00:33:13,864 --> 00:33:15,776
know, half this certain vibe.

871
00:33:16,428 --> 00:33:18,415
Then of course, if you use Ai tools

872
00:33:18,415 --> 00:33:21,355
them to create sound, then to accent that

873
00:33:21,355 --> 00:33:21,991
same vibe.

874
00:33:23,580 --> 00:33:24,796
Robot made me realize.

875
00:33:25,585 --> 00:33:28,065
How powerful Ai is going to be for

876
00:33:28,065 --> 00:33:28,704
sound editing.

877
00:33:29,505 --> 00:33:32,224
Because an Ai program can just look at

878
00:33:32,224 --> 00:33:33,525
a scene and

879
00:33:33,984 --> 00:33:36,658
computationally fig hear out what kind of sounds

880
00:33:36,877 --> 00:33:38,714
you would expect to hear in that scene

881
00:33:38,714 --> 00:33:40,392
and from what distance and it would figure

882
00:33:40,392 --> 00:33:42,090
out all of the acoustic characteristics

883
00:33:42,404 --> 00:33:44,499
that. This is going to have

884
00:33:44,957 --> 00:33:45,754
a very,

885
00:33:46,392 --> 00:33:50,162
very disruptive effect on the whole sound editing

886
00:33:50,460 --> 00:33:51,917
sound post production process

887
00:33:53,108 --> 00:33:54,305
We're not quite there yet,

888
00:33:55,104 --> 00:33:55,822
but it's coming.

889
00:33:56,780 --> 00:33:59,415
He's not well. He works too hard. I'm

890
00:33:59,415 --> 00:34:01,650
glad you come, sir. Now he will surely

891
00:34:01,650 --> 00:34:03,178
open the door Mister Sam,

892
00:34:03,815 --> 00:34:05,644
you are neglecting your business duties.

893
00:34:06,201 --> 00:34:07,950
I thought you were a dependable man.

894
00:34:09,223 --> 00:34:10,710
I will open the door or

895
00:34:11,627 --> 00:34:13,461
At the time of this recording back in

896
00:34:13,780 --> 00:34:15,296
September of 2023.

897
00:34:16,093 --> 00:34:18,885
The tools to make Ai generated people move

898
00:34:18,885 --> 00:34:22,255
their mouths in sync. With recorded audio dialogue,

899
00:34:22,494 --> 00:34:25,135
making it was brand new. And Rope films,

900
00:34:25,695 --> 00:34:27,375
Were among of the first a boy to

901
00:34:27,375 --> 00:34:28,894
use it about nothing but as well... I'm

902
00:34:28,894 --> 00:34:31,568
hugely excited about these because they have this

903
00:34:31,626 --> 00:34:33,801
potential that that create something that is quite

904
00:34:34,099 --> 00:34:35,135
quite too strange.

905
00:34:38,724 --> 00:34:39,522
Why this.

906
00:34:40,733 --> 00:34:43,195
Think do catch at black. I'm ready to

907
00:34:43,195 --> 00:34:43,512
go.

908
00:34:44,386 --> 00:34:46,610
Here I'm willing to work? Are you going

909
00:34:46,610 --> 00:34:47,166
to the office?

910
00:34:47,801 --> 00:34:48,119
Sir?

911
00:34:48,833 --> 00:34:49,310
He'll need?

912
00:34:50,025 --> 00:34:50,595
I mother,

913
00:34:51,309 --> 00:34:51,626
mother,

914
00:34:52,260 --> 00:34:53,712
a here. So

915
00:34:54,084 --> 00:34:56,701
so it's a kind of mixture of, you

916
00:34:56,701 --> 00:34:57,653
know, use bowl.

917
00:34:58,625 --> 00:35:01,184
Parts. So I didn't find an individual word

918
00:35:01,184 --> 00:35:01,904
or phrase,

919
00:35:02,385 --> 00:35:04,224
but then it has, you know, plenty of

920
00:35:04,224 --> 00:35:06,304
surprises and it has plenty of, you know,

921
00:35:07,038 --> 00:35:09,502
a weird waste than to stay things or

922
00:35:09,502 --> 00:35:12,465
like, you know, it stars then than whisper

923
00:35:12,522 --> 00:35:12,760
or...

924
00:35:13,793 --> 00:35:14,293
Away

925
00:35:16,034 --> 00:35:19,217
boy away, get away from her, get away

926
00:35:19,217 --> 00:35:21,048
from her. Go away,

927
00:35:21,525 --> 00:35:24,869
get away from her. So let's say, at

928
00:35:24,869 --> 00:35:27,672
this moment, this blog. So here it. You

929
00:35:27,672 --> 00:35:28,332
have a

930
00:35:28,788 --> 00:35:30,861
here, I have a bit video, so I

931
00:35:30,861 --> 00:35:33,412
have salad, but but there's no... But there's

932
00:35:33,412 --> 00:35:35,898
no sync And then after the result, you

933
00:35:35,898 --> 00:35:38,688
can feed it a sound file and a

934
00:35:38,688 --> 00:35:41,159
cards video file end result in the best

935
00:35:41,159 --> 00:35:41,478
case.

936
00:35:42,768 --> 00:35:44,676
It then gives you a lip which is

937
00:35:44,676 --> 00:35:46,584
trying to like almost, you know, rice. Animal

938
00:35:46,584 --> 00:35:48,254
don't. Animals eat bug.

939
00:35:49,606 --> 00:35:52,568
Lip of, painful because when people are talking,

940
00:35:52,728 --> 00:35:54,563
they're not just them mood in their, you

941
00:35:54,563 --> 00:35:56,078
know, mouth. It's the whole phase.

942
00:35:57,195 --> 00:35:59,907
There will somebody will soon invent an Ai

943
00:35:59,907 --> 00:36:01,989
that will take that end result or that

944
00:36:01,989 --> 00:36:04,372
the face will be more intent with D

945
00:36:04,372 --> 00:36:07,152
singh? Is the Ai just giving you the

946
00:36:07,152 --> 00:36:09,455
shots or is it also giving you an

947
00:36:09,455 --> 00:36:11,776
initial edit? Were you building the whole edit?

948
00:36:12,094 --> 00:36:14,639
I the kind of did myself. So adi

949
00:36:14,798 --> 00:36:16,889
I at this moment. I haven't found an

950
00:36:17,026 --> 00:36:20,621
that do a meaningful video ad d. But

951
00:36:20,621 --> 00:36:23,088
at at this moment, I think that's the

952
00:36:23,088 --> 00:36:25,475
crossover part that your that you need to

953
00:36:25,475 --> 00:36:28,036
build yourself, and it's the fund builders. So

954
00:36:28,036 --> 00:36:30,424
so so that you have, you know, these

955
00:36:30,424 --> 00:36:32,493
all the guy the building blocks, but then

956
00:36:32,493 --> 00:36:34,737
the actual crafting in, your, like, you know,

957
00:36:34,896 --> 00:36:36,113
they feel it's started

958
00:36:36,728 --> 00:36:38,640
exactly the same layer as, you would do

959
00:36:38,640 --> 00:36:38,799
it,

960
00:36:39,596 --> 00:36:42,065
you know, with then with the material, you

961
00:36:42,065 --> 00:36:44,709
wouldn't then shoot it yourself, in a traditional

962
00:36:44,709 --> 00:36:44,948
film,

963
00:36:46,064 --> 00:36:48,296
most people, you know, if you don't have

964
00:36:48,296 --> 00:36:51,085
infant budgets, you do do right screen play,

965
00:36:52,057 --> 00:36:54,132
you apply the shirt, you do the shoes,

966
00:36:54,292 --> 00:36:56,606
you get the results. And then and, you

967
00:36:56,606 --> 00:36:58,442
know, then, you know, basically, then that's it.

968
00:36:59,414 --> 00:37:02,282
Now with this, this letter, I have potential

969
00:37:02,282 --> 00:37:03,158
there to do it then,

970
00:37:04,034 --> 00:37:06,918
infinite ratios, you know, infinite, you know, I'm

971
00:37:07,077 --> 00:37:10,028
I'm not tied to the end results. I'm

972
00:37:10,028 --> 00:37:10,927
completely free

973
00:37:11,623 --> 00:37:13,618
then to create trough. I'm sure this must

974
00:37:13,618 --> 00:37:14,596
happen when you're,

975
00:37:15,293 --> 00:37:15,851
in the edit.

976
00:37:16,662 --> 00:37:18,036
There's a little piece of

977
00:37:19,126 --> 00:37:22,464
connective tissue, some logic that's missing. And you

978
00:37:22,464 --> 00:37:24,610
know you can fill that hole so you

979
00:37:24,610 --> 00:37:26,536
go back and And that's and that's where

980
00:37:26,616 --> 00:37:28,291
I to say as a filmmaker Was really

981
00:37:28,291 --> 00:37:30,285
impressed because I've seen a lot of, you

982
00:37:30,285 --> 00:37:33,476
know, generative art, and it's very pretty. It's

983
00:37:33,476 --> 00:37:35,310
very interesting. It could be very beautiful.

984
00:37:35,804 --> 00:37:37,642
But telling a story can be hard because

985
00:37:37,642 --> 00:37:40,759
of the nature of how Ai generates images.

986
00:37:40,998 --> 00:37:43,875
So making that stuff hang together in a

987
00:37:43,875 --> 00:37:44,195
thread,

988
00:37:45,009 --> 00:37:46,445
is I think something...

989
00:37:48,200 --> 00:37:50,035
You you seem to have AAA really unique

990
00:37:50,035 --> 00:37:52,051
talent for the images

991
00:37:52,683 --> 00:37:54,599
still managed to somehow,

992
00:37:55,716 --> 00:37:56,833
talk hand off,

993
00:37:57,472 --> 00:38:00,106
meaning 1 shot to the next. It progresses,

994
00:38:01,078 --> 00:38:02,992
in a in a meaningful way, and that's...

995
00:38:03,391 --> 00:38:05,486
I I can tell that's a lot of

996
00:38:05,545 --> 00:38:06,045
iterations

997
00:38:07,459 --> 00:38:08,974
and a lot of work. But also, at

998
00:38:08,974 --> 00:38:10,011
a certain point, you have to let it

999
00:38:10,011 --> 00:38:11,776
go. You could do that forever. Yep.

1000
00:38:12,491 --> 00:38:15,034
Yeah. Mean, I'm very happy with, you know,

1001
00:38:15,272 --> 00:38:16,940
I think the 1 of the core part

1002
00:38:16,940 --> 00:38:18,927
of this Ai test is that, you know,

1003
00:38:20,214 --> 00:38:21,112
you cannot

1004
00:38:21,725 --> 00:38:24,531
obtain perfection. I think it's a bit in

1005
00:38:24,668 --> 00:38:28,103
our music you then replace chords. So you

1006
00:38:28,103 --> 00:38:30,495
don't... Are you derive a song with has,

1007
00:38:30,814 --> 00:38:33,525
the, of the basic chords, and you it

1008
00:38:33,525 --> 00:38:33,923
works fine.

1009
00:38:34,641 --> 00:38:36,889
I, but but you don't actually your are

1010
00:38:36,889 --> 00:38:38,963
replaced almost, you know, every chord with, like,

1011
00:38:39,123 --> 00:38:41,858
a weird version of the cord data. And

1012
00:38:42,156 --> 00:38:44,630
you know, air shots are these weird were

1013
00:38:44,630 --> 00:38:44,950
versions.

1014
00:38:45,442 --> 00:38:47,507
But if they full fulfill their role in

1015
00:38:47,507 --> 00:38:49,891
the story. So if it if it works

1016
00:38:49,891 --> 00:38:52,194
in your mind. So if the story goes

1017
00:38:52,194 --> 00:38:54,355
from gear to year or it start. It

1018
00:38:54,355 --> 00:38:56,503
the max you feel or something. It makes

1019
00:38:56,503 --> 00:38:59,048
no difference if the shot itself is actually

1020
00:38:59,048 --> 00:39:00,242
completely kind of like, you know,

1021
00:39:00,892 --> 00:39:03,771
we or like, they're run or Florida or

1022
00:39:04,223 --> 00:39:05,729
the you want that I'm working on or

1023
00:39:05,729 --> 00:39:06,284
right now,

1024
00:39:07,394 --> 00:39:08,559
but I'm working on a

1025
00:39:09,235 --> 00:39:10,450
5 minute video

1026
00:39:11,301 --> 00:39:12,516
about how how

1027
00:39:12,969 --> 00:39:14,240
people invented that

1028
00:39:15,035 --> 00:39:15,750
blue Pepsi.

1029
00:39:16,386 --> 00:39:19,364
And, you know, And then this this video

1030
00:39:19,660 --> 00:39:21,329
it will be probably out in a few

1031
00:39:21,329 --> 00:39:21,488
days.

1032
00:39:22,203 --> 00:39:24,509
Think did will probably be my be my

1033
00:39:24,509 --> 00:39:26,519
best 1 in that way that I

1034
00:39:27,069 --> 00:39:29,942
go far away from, like, no reality, man,

1035
00:39:30,181 --> 00:39:31,697
I actually go into worlds.

1036
00:39:32,256 --> 00:39:32,735
Have a taste.

1037
00:39:33,453 --> 00:39:34,171
Tell me what you think.

1038
00:39:42,259 --> 00:39:43,536
It tastes like mouth wash.

1039
00:39:44,414 --> 00:39:45,632
You are a crazy.

1040
00:39:49,282 --> 00:39:49,920
It's non.

1041
00:39:50,492 --> 00:39:51,998
Mouth wash. It berries.

1042
00:39:53,900 --> 00:39:55,563
I'm sorry. I really don't know how it

1043
00:39:55,563 --> 00:39:56,118
can help you.

1044
00:39:58,195 --> 00:39:58,751
What ties you.

1045
00:40:00,101 --> 00:40:00,418
Why?

1046
00:40:01,610 --> 00:40:03,039
You will find the answer inside.

1047
00:40:06,137 --> 00:40:06,454
Relax.

1048
00:40:07,822 --> 00:40:08,699
That's your mind drift.

1049
00:40:09,577 --> 00:40:11,650
It's simply hugely excited because you can go

1050
00:40:11,650 --> 00:40:13,484
in the worlds that are hard to go

1051
00:40:13,484 --> 00:40:14,223
into in

1052
00:40:14,680 --> 00:40:17,327
traditional world. If you think about the as

1053
00:40:17,327 --> 00:40:17,805
a camera.

1054
00:40:18,682 --> 00:40:20,677
You can't then get a camera that is

1055
00:40:20,677 --> 00:40:22,910
able to do what these Ai cameras are

1056
00:40:22,910 --> 00:40:24,744
enabled then to do it right now. And

1057
00:40:24,904 --> 00:40:26,042
I think that's a personal.

1058
00:40:26,753 --> 00:40:28,109
Way of how do you think about it?

1059
00:40:28,508 --> 00:40:30,103
But if you think about it in terms

1060
00:40:30,103 --> 00:40:32,177
of the this model that you actually have

1061
00:40:32,177 --> 00:40:35,288
a tool that is far than superior to

1062
00:40:35,288 --> 00:40:36,380
the world's best camera

1063
00:40:36,737 --> 00:40:37,932
in some ways.

1064
00:40:38,728 --> 00:40:40,581
I think if you go into that,

1065
00:40:41,196 --> 00:40:43,027
then you can start to see all kinds

1066
00:40:43,027 --> 00:40:43,983
of interesting potential.

1067
00:40:44,794 --> 00:40:46,792
Sir, the camera... The camera you sold me

1068
00:40:46,792 --> 00:40:47,911
has taken Lsd.

1069
00:40:49,429 --> 00:40:49,749
Yeah.

1070
00:40:50,867 --> 00:40:52,865
And I think you know, that's of course

1071
00:40:52,865 --> 00:40:53,525
part of

1072
00:40:53,840 --> 00:40:56,160
fortunately, it's part of new medium. So if

1073
00:40:56,160 --> 00:40:56,559
you put...

1074
00:40:57,840 --> 00:40:59,840
I mean, they kind of the resolution is

1075
00:40:59,840 --> 00:41:01,680
is the lower. And so but if you

1076
00:41:01,680 --> 00:41:03,054
put it on the instead instagram having put

1077
00:41:03,054 --> 00:41:06,643
it on Twitter, you don't need these 4K6K

1078
00:41:06,643 --> 00:41:08,557
cameras that, you know, show show them all

1079
00:41:08,557 --> 00:41:11,450
the details. And I think overall stories

1080
00:41:13,277 --> 00:41:14,630
I mean, even if if you think about

1081
00:41:14,630 --> 00:41:15,425
movies like,

1082
00:41:16,459 --> 00:41:19,164
blair at which projects or than whatever. If

1083
00:41:19,164 --> 00:41:20,850
you have a good story.

1084
00:41:21,408 --> 00:41:23,559
People who will then start to for for

1085
00:41:23,559 --> 00:41:26,268
forgive. There's all kinds of interesting deals with

1086
00:41:26,268 --> 00:41:28,978
these A fields for instance that for in

1087
00:41:28,978 --> 00:41:29,478
in

1088
00:41:30,028 --> 00:41:32,255
the comparisons in each shop that look different

1089
00:41:32,255 --> 00:41:34,721
or they have light, then then they have

1090
00:41:34,721 --> 00:41:36,733
a, of different set of clothes

1091
00:41:37,441 --> 00:41:38,873
and you are team at first that, you

1092
00:41:38,873 --> 00:41:40,147
know, that's slightly distracted.

1093
00:41:40,863 --> 00:41:43,967
But I really actually find that people don't

1094
00:41:43,967 --> 00:41:45,757
call. They don't comp

1095
00:41:46,134 --> 00:41:48,287
complain that in this shot, they had a

1096
00:41:48,287 --> 00:41:50,281
blow that in the next shot, they have

1097
00:41:50,281 --> 00:41:52,833
a white shirt. It's not that... It's not

1098
00:41:52,833 --> 00:41:54,841
something you see in the North, funeral know

1099
00:41:54,841 --> 00:41:56,675
to nobody would have the time to actually

1100
00:41:56,675 --> 00:41:59,866
change their clothes for a shot. But the

1101
00:41:59,866 --> 00:42:02,737
people are actually surprisingly or given that, you

1102
00:42:02,737 --> 00:42:02,976
know,

1103
00:42:04,267 --> 00:42:06,020
As slur as the holes are the same.

1104
00:42:06,896 --> 00:42:09,786
What Europa is talking about here is called

1105
00:42:09,844 --> 00:42:10,163
coding.

1106
00:42:10,721 --> 00:42:12,553
If you give the audience the code or

1107
00:42:12,553 --> 00:42:14,635
the grammar your film in the first few

1108
00:42:14,635 --> 00:42:17,095
minutes, they will most likely be able to

1109
00:42:17,095 --> 00:42:19,896
adjust and accept almost anything that comes afterward

1110
00:42:19,952 --> 00:42:21,618
as long as it sticks to that set

1111
00:42:21,618 --> 00:42:21,936
of rules.

1112
00:42:22,744 --> 00:42:23,460
Defined by the code.

1113
00:42:24,809 --> 00:42:27,987
It's just another example of how adaptive and

1114
00:42:27,987 --> 00:42:29,257
plastic our brains are.

1115
00:42:30,544 --> 00:42:32,880
And back to that issue of temporal

1116
00:42:33,338 --> 00:42:33,657
instability.

1117
00:42:34,535 --> 00:42:37,249
It lends itself to a dream like quality

1118
00:42:37,249 --> 00:42:39,405
where men is never solid.

1119
00:42:40,296 --> 00:42:41,332
Ideas are not fixed.

1120
00:42:42,447 --> 00:42:45,157
But the technical issue of temporal stability will

1121
00:42:45,157 --> 00:42:45,714
be solved,

1122
00:42:46,351 --> 00:42:48,822
but it is this period of development that

1123
00:42:48,822 --> 00:42:49,322
most.

1124
00:42:50,347 --> 00:42:53,309
It's not bad generative of art, it's simply

1125
00:42:53,603 --> 00:42:55,986
the current state of the art and video

1126
00:42:55,986 --> 00:42:58,782
generated during these years will be marked by

1127
00:42:58,782 --> 00:43:01,348
that sense of cutting edge possibility.

1128
00:43:02,039 --> 00:43:03,072
And then maybe 1 day,

1129
00:43:03,788 --> 00:43:06,188
we'll become nostalgic. In the same way that

1130
00:43:06,188 --> 00:43:08,656
we are now nostalgic for that first 3

1131
00:43:08,656 --> 00:43:10,805
d video for Dire straits money for nothing.

1132
00:43:11,362 --> 00:43:13,909
It looks silly now, but it marks a

1133
00:43:13,909 --> 00:43:16,309
time in that technology technology's development.

1134
00:43:19,010 --> 00:43:20,837
If you think about a dream sequence in

1135
00:43:20,837 --> 00:43:22,744
the field on me, that's like, they're super

1136
00:43:22,744 --> 00:43:24,356
hard to do actually. You know, people

1137
00:43:24,903 --> 00:43:26,810
do like a blur and they kind of,

1138
00:43:26,890 --> 00:43:29,273
like, put something glow there and they pretend,

1139
00:43:29,353 --> 00:43:31,339
you know, that slide of dream sequence. And

1140
00:43:31,339 --> 00:43:31,839
and

1141
00:43:32,293 --> 00:43:33,428
and they always suck

1142
00:43:33,738 --> 00:43:35,749
how do our minds still work in dreams

1143
00:43:35,885 --> 00:43:38,033
overall. Mean, it's hard to fold some something

1144
00:43:38,033 --> 00:43:40,442
and not anything is this eastern instant.

1145
00:43:40,817 --> 00:43:41,635
This temporal

1146
00:43:42,342 --> 00:43:44,402
stability is trying at at this moment in

1147
00:43:44,402 --> 00:43:47,255
20 23. To capture this moment in time

1148
00:43:47,255 --> 00:43:49,237
that is trying apply buried then fleeting.

1149
00:43:49,809 --> 00:43:51,170
In 5 years, you know,

1150
00:43:52,210 --> 00:43:53,890
the teams will be worked out. So I

1151
00:43:53,890 --> 00:43:55,250
kind of like, you know, it it it

1152
00:43:55,250 --> 00:43:58,210
will start to look look more than normal.

1153
00:43:58,543 --> 00:43:59,976
But I think we are now in a

1154
00:43:59,976 --> 00:44:02,205
in in a super specific moment of time

1155
00:44:02,205 --> 00:44:02,705
where

1156
00:44:03,240 --> 00:44:05,548
it's now at the threshold that is kind

1157
00:44:05,548 --> 00:44:07,954
of like, in... It's extreme main interesting interesting

1158
00:44:07,954 --> 00:44:10,346
in place. Like first music videos with 3

1159
00:44:10,346 --> 00:44:11,244
d, so

1160
00:44:11,701 --> 00:44:14,650
pioneer straight, you know, music video, just like.

1161
00:44:15,224 --> 00:44:17,382
Bad really. But at the same time, it's

1162
00:44:17,382 --> 00:44:19,619
not bad. It's actually fantastic and it and

1163
00:44:19,619 --> 00:44:23,076
it's really didn't capture something specific. You actually

1164
00:44:23,868 --> 00:44:25,800
create something with these tools that are

1165
00:44:26,334 --> 00:44:26,811
flawed.

1166
00:44:27,368 --> 00:44:29,516
They tried to create art with it in

1167
00:44:29,516 --> 00:44:31,843
not in a kind of are a sarcastic

1168
00:44:31,843 --> 00:44:34,000
vendor, but actually try to create something with.

1169
00:44:34,400 --> 00:44:36,897
I have this assumption that if I take

1170
00:44:37,356 --> 00:44:39,289
5 years to the if we go 5

1171
00:44:39,289 --> 00:44:41,127
years to the future, and then we look

1172
00:44:41,127 --> 00:44:41,627
back

1173
00:44:42,005 --> 00:44:44,723
that the art being created in 20 23,

1174
00:44:44,963 --> 00:44:46,001
will be actually quite

1175
00:44:46,721 --> 00:44:47,360
interested hopefully.

1176
00:44:48,014 --> 00:44:49,929
Because it will be kind of like the

1177
00:44:49,929 --> 00:44:52,324
first or glimpse sets of kind of light,

1178
00:44:53,043 --> 00:44:54,820
from, like this humbly noise

1179
00:44:55,277 --> 00:44:58,184
to actually something that is the meaningful and

1180
00:44:58,401 --> 00:45:00,413
and I suspect and hope that

1181
00:45:01,027 --> 00:45:03,177
this short moment in time that we are

1182
00:45:03,177 --> 00:45:04,314
in right now

1183
00:45:04,784 --> 00:45:06,369
you don't need to wait. So, I mean,

1184
00:45:06,449 --> 00:45:09,066
you can tell, you know, exciting stories today.

1185
00:45:13,926 --> 00:45:15,841
Thank you for watching part 1 of our

1186
00:45:15,841 --> 00:45:16,639
interview with a rope on.

1187
00:45:17,596 --> 00:45:19,772
Next time, we're gonna get more into the

1188
00:45:20,164 --> 00:45:23,186
ethical and financial matters associated with Ai.

1189
00:45:24,380 --> 00:45:25,016
Thanks for watching.

1190
00:45:27,818 --> 00:45:30,053
The well is written produced and edited by

1191
00:45:30,213 --> 00:45:31,251
Ans Mount and B,

1192
00:45:32,289 --> 00:45:35,163
theme music written and performed by Jonathan Me,

1193
00:45:35,562 --> 00:45:37,567
with additional music by Brandon agents.

1194
00:45:38,837 --> 00:45:40,980
Special thanks to Rope Rid stone for chatting

1195
00:45:40,980 --> 00:45:43,043
with us from Finland and for donating the

1196
00:45:43,043 --> 00:45:45,050
work that appears in this episode

1197
00:45:45,759 --> 00:45:46,478
until next time.

1198
00:45:47,118 --> 00:45:47,917
Have a good time.