WEBVTT - Ep 81: Holly Herndon

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<v Speaker 1>It was this alarm in the background going to be okay,

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<v Speaker 1>does that mean we should get out?

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<v Speaker 2>Sound installation happening?

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<v Speaker 3>Do you think that's a building wide noise?

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<v Speaker 1>No, no, one not like there's people chilling over there

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<v Speaker 1>and they don't look concerned.

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<v Speaker 2>I don't smell smoke.

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<v Speaker 3>The Barbercane Center, it turns out, was not on fire,

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<v Speaker 3>but Holly Herndon and I still got out of there.

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<v Speaker 3>We went back to her hotel to record this episode

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<v Speaker 3>of Midnight Chat in a very unlikely place. We sat

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<v Speaker 3>on a little landing just by the lifts on floor

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<v Speaker 3>three of her hotel, which meant that anyone coming up

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<v Speaker 3>to floor three, the lift would open and they would

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<v Speaker 3>be faced with myself and Holly sat on a small

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<v Speaker 3>bench talking into her microphones. Quite a bizarre welcome to

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<v Speaker 3>some people who had maybe just arrived in London for

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<v Speaker 3>that holiday. But thank you to Holly for putting up

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<v Speaker 3>with this kind of slap dash, unprofessional outfit that we're

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<v Speaker 3>running here alloud them quiet. I met Holly earlier this year.

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<v Speaker 3>We did a big cover feature with her about her

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<v Speaker 3>new album called Proto, and there's a lot for me

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<v Speaker 3>to tell you about that before we get started on

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<v Speaker 3>this week's episode. Proto is Holly's third record. Holly is

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<v Speaker 3>a experimental electronic musician who makes a lot of music

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<v Speaker 3>using computers, but protos are particularly interesting and quite revolutionary record.

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<v Speaker 3>It was made using AI, and we talk a bit

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<v Speaker 3>about a baby, an AI baby that she's made. It's

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<v Speaker 3>called Spawn. I've met Spawn in Berlin and spawns her

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<v Speaker 3>AI baby. So the way Proto as a record, which

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<v Speaker 3>is an experimental electronic records that's still got a lot

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<v Speaker 3>of melody in it, I'd recommend checking it out. But

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<v Speaker 3>the way it was made was by feeding an AI

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<v Speaker 3>machine that she had made with her partner, her husband,

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<v Speaker 3>Matt Dryhurst. They made this AI and they sang to

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<v Speaker 3>this machine, and this machine kind of started to learn

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<v Speaker 3>certain things and gave them some material to make this

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<v Speaker 3>new record, Proto. What's interesting about this, I think is

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<v Speaker 3>that you hear a story about musician makes AI album

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<v Speaker 3>and the first thing you're probably thinking is I don't

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<v Speaker 3>want that. That's not what music is. Music's not about

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<v Speaker 3>getting it automated. But as we talk about in this podcast,

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<v Speaker 3>it's not as simple as that. In fact, what Holly

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<v Speaker 3>was exploring was how we can use technology to have

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<v Speaker 3>greater human connections and interactions with other people. Technology doesn't

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<v Speaker 3>have to be something that replaces humans. It can be

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<v Speaker 3>something that frees us and lets us be more human.

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<v Speaker 3>So protos are really interesting as some really interesting concepts

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<v Speaker 3>behind that. Holly is a lovely person to talk to,

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<v Speaker 3>as you're about to hear, she is extremely intelligent. Just

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<v Speaker 3>passed her PhD at Stamford University. She was born in Tennessee,

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<v Speaker 3>a in the Bible Belts. It currently lives in Berlin

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<v Speaker 3>and spent some time over on the West Coast in

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<v Speaker 3>Silicon Valley while she was studying. Check out Proto. It's

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<v Speaker 3>Holly's third record. It is out now on four A D.

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<v Speaker 3>And also check out the first record that we the

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<v Speaker 3>first tape that I talked to her about. She's called Car.

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<v Speaker 3>You can find out on YouTube and I have linked

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<v Speaker 3>to that in the bottom of this podcast. But for

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<v Speaker 3>now here is myself and Holly Herndon sat in a

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<v Speaker 3>hallway on floor three of a hotel near the Barbercane

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<v Speaker 3>Center as people kind of come and go, They stroll

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<v Speaker 3>past us every now and then, and we just try

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<v Speaker 3>to do our best to make this episode of Midnight

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<v Speaker 3>Chats as normal as possible. I feel like we did

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<v Speaker 3>a good job and don't forget that. If you do

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<v Speaker 3>like this episode of Midnight Chats, you can support this

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<v Speaker 3>podcast by visiting loudon quiet dot com forward slash subscribe

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<v Speaker 3>and they'll see that. We also make a monthly music

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<v Speaker 3>magazine and for just three pounds a month, we will

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<v Speaker 3>send you our next nine issues. And while you're there

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<v Speaker 3>on the site, why not do a little search for

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<v Speaker 3>Holly Herndon and there you'll be able to read the

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<v Speaker 3>cover feature that we reference in this podcast, which does

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<v Speaker 3>a more in depth job of exploring Holly's career, her music,

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<v Speaker 3>and particularly her new album Proto When that Lift open.

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<v Speaker 2>Hello, madam.

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<v Speaker 3>So I'm going to think they're in some immersive theater experience. Well,

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<v Speaker 3>we're just sat here. What a cool hotel. So we've decayed,

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<v Speaker 3>We've we've moved from the barbercane. The alarm was too much.

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<v Speaker 2>Yes, and just as we were leaving it stopped.

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<v Speaker 3>It stopped. But that's okay, Yeah, that's the way it goes.

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<v Speaker 3>So I want to ask you. You went on to

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<v Speaker 3>it with Radiohead and they had the big glories.

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<v Speaker 2>Right of of course?

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<v Speaker 1>Yeah, And I because say you know, they go to

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<v Speaker 1>these kind of like giant I mean, this wasn't like

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<v Speaker 1>a stadium tour for them.

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<v Speaker 2>I think it was a more intimate show tour for them,

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<v Speaker 2>which for me was like, oh my god, these are

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<v Speaker 2>the biggest rooms I've ever played.

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<v Speaker 1>But yeah, they have like a whole crew, you know,

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<v Speaker 1>who like build up the stage and it's really impressive

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<v Speaker 1>actually to like build up this whole world and then

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<v Speaker 1>tear it down every night and then it drives off

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<v Speaker 1>to the next city. So, you know, we don't have

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<v Speaker 1>anything as complicated as that, So we try to have

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<v Speaker 1>things that are like pretty uniform that you can ask

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<v Speaker 1>at each kind of location, like you know, tables and

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<v Speaker 1>platforms and screens and things like that.

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<v Speaker 3>Do you have Spawn with you?

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<v Speaker 2>We don't have Spawn with us. She doesn't travel, not yet.

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<v Speaker 1>Actually, just before we left, Jewels are collaborator who just

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<v Speaker 1>got married Jewels. Yes, so Jewels just picked up Spawn

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<v Speaker 1>and is gonna be working with her pretty intensively for

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<v Speaker 1>the next couple of weeks because we really want to

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<v Speaker 1>try to start with her live.

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<v Speaker 2>But it's like there's this latency issue.

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<v Speaker 3>Sure, and I imagine transporting an AI baby.

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<v Speaker 2>Well yeah, right now, we have.

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<v Speaker 1>She's like her body is in this kind of like tower.

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<v Speaker 1>It's like, you know, desktop tower. But we don't really

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<v Speaker 1>need all of that space really, we just need enough

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<v Speaker 1>room for like a fan and for the GPU. So

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<v Speaker 1>we're looking into smaller, little baby towers.

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<v Speaker 3>Sure, it occurred to me yesterday that we're obviously at

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<v Speaker 3>the end of a decade pretty much.

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<v Speaker 2>Oh no, are you wanting me to say something profound?

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<v Speaker 3>No, it wasn't that. It's not that. But then I

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<v Speaker 3>was thinking that you're because you released your first I mean,

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<v Speaker 3>this decade is where your career started, Like in twenty

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<v Speaker 3>eleven was when you put up your first tape, tape

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<v Speaker 3>car Okay, so this is your career decade. I guess

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<v Speaker 3>Oh god, I think is that?

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<v Speaker 2>And I'm retiring?

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<v Speaker 3>But I was going to say, like, what do you

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<v Speaker 3>remember of that of releasing that tape, because it's like

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<v Speaker 3>it was a one track, forty five minute track, wasn't

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<v Speaker 3>it on a cassette called professional All Podcasts?

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<v Speaker 2>He handled well, didn't he was?

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<v Speaker 3>He was relaxed. That's our first lift.

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<v Speaker 2>Guess what what was the question?

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<v Speaker 3>What do you remember of that time of like putting

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<v Speaker 3>that tape out?

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<v Speaker 1>And that was in such a different like mindset at

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<v Speaker 1>that point. I mean I never imagined to have the

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<v Speaker 1>size audience that I have, Like to be playing the

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<v Speaker 1>Barbican tomorrow to like two thousand people's kind of blowing

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<v Speaker 1>my mind.

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<v Speaker 2>It's a really exciting. But I just never expected that.

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<v Speaker 2>Back then.

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<v Speaker 1>I was just like, you know, playing a little noise show.

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<v Speaker 1>And this cassette was made specifically for a noise label

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<v Speaker 1>that called Third Sex, based in Chicago. And so I

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<v Speaker 1>was asked to make a noise cassette for this label

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<v Speaker 1>because he saw the guy who ran the label who

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<v Speaker 1>passed away actually a couple of years ago. He saw

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<v Speaker 1>me play at like a noise venue and was like, oh,

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<v Speaker 1>I'd love for you to make a tape. And so

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<v Speaker 1>I was like, ah, a cassette, Like who listens to cassettes?

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<v Speaker 1>Where do people listen to cassettes? I mean I had

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<v Speaker 1>back then, I had a cassette player on my toilet

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<v Speaker 1>with like a selection of cassettes if you needed to

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<v Speaker 1>spend a.

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<v Speaker 2>Little extra time on the toilet.

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<v Speaker 1>But so I asked him to ask his audience, like

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<v Speaker 1>where do they listen to their cassettes? And he actually

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<v Speaker 1>like sent out a survey which is kind of wild

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<v Speaker 1>that people would respond, and they did. I mean, I

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<v Speaker 1>don't think it was like a huge number of people,

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<v Speaker 1>but most of the people that responded said they listened

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<v Speaker 1>in their car, which I thought was wild because you know,

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<v Speaker 1>like these must be some old cars. Yeah, yeah, so

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<v Speaker 1>you know, in the States, I think it was like

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<v Speaker 1>a largely American audience. People are driving still driving like

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<v Speaker 1>vast distances, especially if you're not living in a city,

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<v Speaker 1>like if you're in the suburbs, you're definitely still commuting

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<v Speaker 1>a lot. So I was like, Okay, I'm gonna make

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<v Speaker 1>something specifically for the car. And I had a car

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<v Speaker 1>at the time because I was commuting between Palo Alto

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<v Speaker 1>and San Francisco like an hour every day back and forth.

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<v Speaker 2>God, I sound like really out of bread. Why it's

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<v Speaker 2>like my last gasps.

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<v Speaker 1>So yeah, I made it specifically for the Toyota Matrix

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<v Speaker 1>that I was driving at the time.

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<v Speaker 2>So I would like work on stuff.

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<v Speaker 1>On my computer and then go down to my car

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<v Speaker 1>and play it in my car and see how it

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<v Speaker 1>was resonating the car, and then like tweak the frequency

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<v Speaker 1>range to like works with it. So it's not gonna

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<v Speaker 1>work perfectly in everyone's car. But it was like made

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<v Speaker 1>specifically for this car. And then I did things with

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<v Speaker 1>like the windows. I like recorded the window, I you know,

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<v Speaker 1>did a lot of like field recording of the car.

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<v Speaker 1>I made like a fake PSA radio announce. It was

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<v Speaker 1>just fun.

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<v Speaker 2>I don't know.

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<v Speaker 1>I was just like messing around, and I didn't imagine

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<v Speaker 1>that that many people would ever hear it.

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<v Speaker 3>It was just well, you can listen to this on

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<v Speaker 3>it's on YouTube.

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<v Speaker 2>Now it's on YouTube.

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<v Speaker 3>Yeah, oh wow, someone's put it up there. I listened

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<v Speaker 3>to it.

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<v Speaker 1>Yes, it's not that's not where it's intended to take

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<v Speaker 1>it down or no, Britain, bring YouTube to your car.

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<v Speaker 3>Funny enough, like even though you say, like back then,

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<v Speaker 3>obviously you had no like a cassette tape of experimental

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<v Speaker 3>sound made for a car. You never expected to be

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<v Speaker 3>sat in this lobby with people walking past us. But

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<v Speaker 3>I'm going to play the barbercan tomorrow to two thousand

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<v Speaker 3>people having made a record with the use of machine learning.

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<v Speaker 3>But oddly, when you hear that first tape, it kind

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<v Speaker 3>of it makes sense that you would end up here,

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<v Speaker 3>Like the sound of it, like the fact that all

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<v Speaker 3>of those things that you said of making field recordings

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<v Speaker 3>and the thought that went into that that cassette, it

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<v Speaker 3>makes sense that you would end up at this point

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<v Speaker 3>with Proto.

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<v Speaker 2>Yeah, I see what you're saying.

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<v Speaker 1>I've never really had like a super conventional way of

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<v Speaker 1>recording songs like it's you know, I'm I still like

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<v Speaker 1>to kind of and I still have a lot of

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<v Speaker 1>learning to do about kind of like perfecting the mix

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<v Speaker 1>and all that kind of stuff.

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<v Speaker 2>But yeah, I think I.

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<v Speaker 1>Have a very idiosyncratic approach to recording into kind of

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<v Speaker 1>like collaging things together.

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<v Speaker 3>Yeah. So Proto was released in May, Okay. Well, because

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<v Speaker 3>of everything that goes into that record and the themes

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<v Speaker 3>of it and the way you've made it and all

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<v Speaker 3>of the stuff about AI and things, and you've obviously

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<v Speaker 3>been talking to people since then about it. Have people

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<v Speaker 3>been getting anything consistently wrong about it? Because there's a

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<v Speaker 3>lot to unpack when you don't, you know, as when

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<v Speaker 3>if you're a journalist who doesn't know anything about as

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<v Speaker 3>I was when I met you, I didn't know anything

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<v Speaker 3>about what AI is is. Have people understood it? If

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<v Speaker 3>people got the point of it, I think.

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<v Speaker 1>It's generally people who don't spend time with it and

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<v Speaker 1>assume that because it's dealing with a certain kind of technology,

0:12:12.200 --> 0:12:14.600
<v Speaker 1>that it's kind of like an endorsement or a kind

0:12:14.600 --> 0:12:18.600
<v Speaker 1>of like Silicon Valley shilling. And that's usually people who

0:12:18.800 --> 0:12:22.200
<v Speaker 1>really haven't looked into what we're doing, or it's like

0:12:22.200 --> 0:12:25.320
<v Speaker 1>a misunderstanding, or they just are like really turned off

0:12:25.400 --> 0:12:28.240
<v Speaker 1>by the concept of like working with technology in this

0:12:28.360 --> 0:12:28.880
<v Speaker 1>kind of way.

0:12:29.480 --> 0:12:31.880
<v Speaker 2>Like I ran into a musician I'm not going.

0:12:31.840 --> 0:12:34.520
<v Speaker 1>To name her here, but like this really amazing musician

0:12:34.600 --> 0:12:36.360
<v Speaker 1>and we were chatting. I ran into her in a

0:12:36.440 --> 0:12:38.240
<v Speaker 1>museum the other the other day, and I was telling

0:12:38.320 --> 0:12:39.280
<v Speaker 1>we were talking about the album.

0:12:39.320 --> 0:12:40.160
<v Speaker 2>She was like, Yeah, when I.

0:12:40.120 --> 0:12:43.440
<v Speaker 1>Heard AI and Music, I was like, ah, I don't,

0:12:43.480 --> 0:12:45.160
<v Speaker 1>like I want nothing to do with that, Like that

0:12:45.200 --> 0:12:47.080
<v Speaker 1>doesn't sound like anything that I'm into. But then after

0:12:47.120 --> 0:12:49.520
<v Speaker 1>hearing you talk about why you did it in your approach,

0:12:49.920 --> 0:12:53.000
<v Speaker 1>now I understand that it's something else, and then it's

0:12:53.040 --> 0:12:54.760
<v Speaker 1>something that I would be interested in, you know, so

0:12:54.880 --> 0:12:58.280
<v Speaker 1>I think, ah, yeah, something about like you know, the

0:12:58.400 --> 0:13:00.880
<v Speaker 1>like endless feed, Like people sometime just see like a

0:13:00.920 --> 0:13:03.680
<v Speaker 1>little one liner in their like feed and then they're

0:13:03.720 --> 0:13:08.080
<v Speaker 1>like we often get like reduced to tags or keywords

0:13:08.120 --> 0:13:10.760
<v Speaker 1>like Holly herndon tech AI music, and then it's like

0:13:10.800 --> 0:13:11.840
<v Speaker 1>next and like the next.

0:13:11.640 --> 0:13:13.120
<v Speaker 2>Person, you're just like, oh my god, there's like so

0:13:13.240 --> 0:13:15.840
<v Speaker 2>much more than that. But I mean I get.

0:13:15.720 --> 0:13:18.319
<v Speaker 1>It, like everyone has like a finite amount of attention

0:13:18.480 --> 0:13:21.280
<v Speaker 1>and like amount of screen time, and so I think

0:13:22.280 --> 0:13:25.440
<v Speaker 1>sometimes that's what's kind of like misunderstood about it.

0:13:25.520 --> 0:13:29.600
<v Speaker 3>Have you managed to boil it down or even wanted

0:13:29.600 --> 0:13:31.480
<v Speaker 3>to do this to like reduce it to some like

0:13:31.520 --> 0:13:35.280
<v Speaker 3>a sound bite when someone asks you, not necessarily somebody

0:13:35.280 --> 0:13:37.040
<v Speaker 3>who's then going to write an article about it, but

0:13:37.240 --> 0:13:41.120
<v Speaker 3>just if you know, a friend of a friend asks, oh,

0:13:41.160 --> 0:13:44.120
<v Speaker 3>what's your album about? Is there a way to even

0:13:44.160 --> 0:13:48.560
<v Speaker 3>say what proto is in a in a short concise

0:13:48.600 --> 0:13:50.320
<v Speaker 3>way that people can understand?

0:13:52.120 --> 0:13:56.200
<v Speaker 1>Oh god, I probably should think about like the what's

0:13:56.200 --> 0:13:57.080
<v Speaker 1>it called the elevator?

0:13:57.120 --> 0:13:57.400
<v Speaker 2>Bitch?

0:13:57.480 --> 0:14:01.560
<v Speaker 1>Yeah, yeah, No, I don't think I have such a

0:14:01.600 --> 0:14:04.280
<v Speaker 1>concise way of putting it. I mean I think, you know,

0:14:04.320 --> 0:14:06.920
<v Speaker 1>when people bring up the AI thing, I say, well,

0:14:07.080 --> 0:14:11.080
<v Speaker 1>I wanted to work with AI directly, like hands on,

0:14:11.240 --> 0:14:13.640
<v Speaker 1>so that I could formulate my own opinion and my

0:14:13.720 --> 0:14:18.120
<v Speaker 1>own kind of like specific kind of like stance on

0:14:18.200 --> 0:14:21.760
<v Speaker 1>the technology without kind of relying on second or third

0:14:21.800 --> 0:14:26.160
<v Speaker 1>hand articles kind of because I feel like that's what

0:14:26.160 --> 0:14:27.960
<v Speaker 1>we're fed a lot, are these kind of like hype

0:14:28.000 --> 0:14:30.400
<v Speaker 1>articles about what the technology is doing or what it

0:14:30.440 --> 0:14:33.720
<v Speaker 1>could do, and so I wanted to actually understand what

0:14:33.760 --> 0:14:36.200
<v Speaker 1>its capabilities and limitations were so that I could then

0:14:36.240 --> 0:14:39.760
<v Speaker 1>formulate my opinion about it. Sure, so that is what

0:14:39.800 --> 0:14:41.560
<v Speaker 1>I would say about the AI part, but about the

0:14:41.600 --> 0:14:44.880
<v Speaker 1>overall album, I mean, it's hard because it was like

0:14:44.920 --> 0:14:49.960
<v Speaker 1>a three year process and it's multifaceted. But you know what,

0:14:50.240 --> 0:14:53.280
<v Speaker 1>I think maybe I could say, you know, when you're

0:14:53.320 --> 0:14:56.560
<v Speaker 1>looking at artificial intelligence, it makes you kind of go

0:14:56.640 --> 0:14:59.960
<v Speaker 1>back to the beginning and think about the history of

0:15:00.080 --> 0:15:02.400
<v Speaker 1>human intelligence and the role that music played in that.

0:15:02.520 --> 0:15:05.120
<v Speaker 1>And that's why I went back to look at vocal

0:15:05.120 --> 0:15:09.120
<v Speaker 1>traditions around the world and the way that you know,

0:15:10.320 --> 0:15:16.920
<v Speaker 1>community and cultures have have developed this vocal technology as

0:15:16.960 --> 0:15:21.200
<v Speaker 1>a survival mechanism and how that's how that's contributed to

0:15:21.320 --> 0:15:22.800
<v Speaker 1>our shared human intelligence.

0:15:23.120 --> 0:15:25.480
<v Speaker 3>That record and coming to meet you to do that

0:15:25.520 --> 0:15:29.040
<v Speaker 3>feature we did has genuinely made me think differently about

0:15:29.040 --> 0:15:33.960
<v Speaker 3>AI and readdress my thoughts on it, because I think

0:15:34.000 --> 0:15:37.320
<v Speaker 3>that the kind of light bulb moment was when you

0:15:37.400 --> 0:15:43.880
<v Speaker 3>were talking about how you've used AI to try and

0:15:43.920 --> 0:15:47.320
<v Speaker 3>actually have more human interaction, because I think that's the

0:15:47.360 --> 0:15:50.400
<v Speaker 3>misunderstanding of proto for people when before it came out,

0:15:50.440 --> 0:15:53.680
<v Speaker 3>maybe or they read anything about it was musician makes

0:15:54.400 --> 0:15:57.840
<v Speaker 3>AI record, and they just think the whole thing's automated.

0:15:57.960 --> 0:15:59.360
<v Speaker 3>You've not already done anything.

0:15:59.080 --> 0:16:02.560
<v Speaker 1>Right, musicians humans with AI, And that's actually the opposite.

0:16:02.760 --> 0:16:05.440
<v Speaker 3>It's exactly the opposite, because you were feeding, you were

0:16:05.520 --> 0:16:09.560
<v Speaker 3>using big groups of people to feed your AI baby spawn, right,

0:16:10.440 --> 0:16:12.320
<v Speaker 3>and that connection is something you wouldn't have had before

0:16:12.360 --> 0:16:15.080
<v Speaker 3>because you were a solo electronic musician. He was making

0:16:15.080 --> 0:16:17.560
<v Speaker 3>everything on there, you wouldn't have had that kind of

0:16:17.600 --> 0:16:20.600
<v Speaker 3>that group thing. And also the point you made, which

0:16:20.800 --> 0:16:25.640
<v Speaker 3>was technology just generally in our world should free us

0:16:25.720 --> 0:16:28.120
<v Speaker 3>up to be more human and give us more time

0:16:28.360 --> 0:16:32.440
<v Speaker 3>to exactly be normal people and be people and have

0:16:32.440 --> 0:16:35.040
<v Speaker 3>connections with people, which is something I hadn't really thought

0:16:35.040 --> 0:16:35.640
<v Speaker 3>about before.

0:16:35.920 --> 0:16:39.640
<v Speaker 1>If we have agency over it, but oftentimes it's designed

0:16:39.880 --> 0:16:43.160
<v Speaker 1>in a way that it kind of reduces our agency,

0:16:43.200 --> 0:16:46.400
<v Speaker 1>and that's something that I'm constantly pushing back against trying

0:16:46.440 --> 0:16:49.560
<v Speaker 1>to understand how it functions. At like a very big

0:16:50.120 --> 0:16:53.600
<v Speaker 1>infrastructural or like protocol layer. So you know, you can

0:16:53.680 --> 0:16:57.040
<v Speaker 1>like really embed the the kind of like if you

0:16:57.040 --> 0:17:00.760
<v Speaker 1>want to say, ethics or the ideology of a culture

0:17:00.920 --> 0:17:02.640
<v Speaker 1>into the protocol.

0:17:02.280 --> 0:17:03.200
<v Speaker 2>Layer of a technology.

0:17:03.200 --> 0:17:06.240
<v Speaker 1>I mean you can see the value system in the

0:17:06.320 --> 0:17:10.159
<v Speaker 1>very protocol layer. And so that's yeah, that's something that

0:17:10.200 --> 0:17:12.679
<v Speaker 1>I find really fascinating. I want to feel like I

0:17:12.720 --> 0:17:14.639
<v Speaker 1>have a sense of agency. I mean, of course, like

0:17:14.720 --> 0:17:17.240
<v Speaker 1>human will, like free will and all these kinds of things.

0:17:17.280 --> 0:17:19.080
<v Speaker 1>That's like a whole other kettle of worms that I

0:17:19.119 --> 0:17:19.720
<v Speaker 1>really don't want.

0:17:19.640 --> 0:17:20.200
<v Speaker 2>To get into.

0:17:20.280 --> 0:17:23.879
<v Speaker 1>But that was another like rabbit hole when thinking about AI.

0:17:24.040 --> 0:17:26.399
<v Speaker 1>It's like, you know, how much free will do we

0:17:26.480 --> 0:17:27.000
<v Speaker 1>actually have?

0:17:28.280 --> 0:17:29.000
<v Speaker 2>But yeah, when.

0:17:28.880 --> 0:17:32.080
<v Speaker 1>Dealing with technology and dealing with these like highly mediated systems,

0:17:32.080 --> 0:17:35.560
<v Speaker 1>like where does the human fit in? And if if

0:17:35.680 --> 0:17:38.200
<v Speaker 1>especially you know, we can use the kind of the

0:17:38.240 --> 0:17:41.680
<v Speaker 1>performance stage as a metaphor for like a wider.

0:17:43.080 --> 0:17:44.760
<v Speaker 2>Kind of like life experience.

0:17:44.840 --> 0:17:48.199
<v Speaker 1>But you know, if so much of our kind of

0:17:48.280 --> 0:17:52.920
<v Speaker 1>performance is being augmented or taken care of by these

0:17:52.960 --> 0:17:55.119
<v Speaker 1>kind of automated systems, what is that free us up

0:17:55.160 --> 0:17:55.320
<v Speaker 1>to do?

0:17:55.440 --> 0:17:56.080
<v Speaker 2>On stage?

0:17:56.320 --> 0:17:58.159
<v Speaker 1>In my mind, it doesn't free us up to just

0:17:58.200 --> 0:18:01.840
<v Speaker 1>stand there and let the lights and everything do all

0:18:01.840 --> 0:18:03.560
<v Speaker 1>the work for us, and we get bored and we

0:18:03.640 --> 0:18:05.760
<v Speaker 1>just stand there. It frees us up to do something else.

0:18:06.400 --> 0:18:08.399
<v Speaker 1>And for me, I was really missing this idea of

0:18:08.520 --> 0:18:12.560
<v Speaker 1>musicking with people in real time, like singing with people,

0:18:12.600 --> 0:18:16.080
<v Speaker 1>performing with people, improvising with people. And if the computer

0:18:16.160 --> 0:18:19.200
<v Speaker 1>can be this kind of like brain that's organizing these

0:18:19.240 --> 0:18:21.560
<v Speaker 1>things around us so we don't have to worry about X,

0:18:21.680 --> 0:18:24.200
<v Speaker 1>y Z, then we can really focus on each other. Yeah,

0:18:24.240 --> 0:18:25.400
<v Speaker 1>that was kind of the point.

0:18:25.720 --> 0:18:28.960
<v Speaker 3>Has it met as the whole experience made to you?

0:18:29.280 --> 0:18:33.480
<v Speaker 3>It must have changed your thoughts on technology, your relationship

0:18:33.480 --> 0:18:35.080
<v Speaker 3>with technology or I mean.

0:18:34.960 --> 0:18:37.720
<v Speaker 1>That's been like an ongoing thing for the last, as

0:18:37.720 --> 0:18:38.720
<v Speaker 1>you've put it, decades.

0:18:40.280 --> 0:18:44.800
<v Speaker 2>Thanks for the reminder. No, but yeah, yeah it's been.

0:18:44.920 --> 0:18:45.320
<v Speaker 2>I mean I.

0:18:46.840 --> 0:18:52.360
<v Speaker 1>Wasn't really dealing with technology that directly or that intimately

0:18:52.440 --> 0:18:55.200
<v Speaker 1>until I moved to California. I really think that we're

0:18:55.400 --> 0:18:57.400
<v Speaker 1>somehow like a product of our environments.

0:18:57.440 --> 0:19:00.400
<v Speaker 2>You know. I was in Berlin and I.

0:18:59.680 --> 0:19:02.479
<v Speaker 1>Was surrounded by a certain kind of like milieu of

0:19:02.560 --> 0:19:04.560
<v Speaker 1>like thought, and then I moved to the Bay Area

0:19:04.600 --> 0:19:07.280
<v Speaker 1>and I was exposed to like a whole different approach

0:19:07.320 --> 0:19:10.720
<v Speaker 1>to technology, and I think the kind of like the

0:19:10.760 --> 0:19:12.680
<v Speaker 1>reputation that the Bay Area gets is from like the

0:19:12.720 --> 0:19:16.040
<v Speaker 1>Googles and the facebooks and the Apple. But that the Apple,

0:19:16.640 --> 0:19:19.679
<v Speaker 1>the Apple. But I mean that's like one part of

0:19:19.720 --> 0:19:24.119
<v Speaker 1>that area. It's like the Bay Area is such a complicated.

0:19:25.480 --> 0:19:25.920
<v Speaker 2>Culture.

0:19:25.920 --> 0:19:27.600
<v Speaker 1>It's such an amazing part of the world. I mean,

0:19:27.600 --> 0:19:31.240
<v Speaker 1>it's it's a very like technologically.

0:19:32.400 --> 0:19:36.080
<v Speaker 2>Forward place and there's not one single ideology. There's a

0:19:36.119 --> 0:19:40.320
<v Speaker 2>ton of like diy tech weirdos there.

0:19:40.400 --> 0:19:43.600
<v Speaker 1>That's where I kind of drew my inspiration people that

0:19:43.640 --> 0:19:46.080
<v Speaker 1>were teaching me how to how to program for the

0:19:46.119 --> 0:19:49.040
<v Speaker 1>first time and how to have some sort of agency

0:19:49.119 --> 0:19:50.240
<v Speaker 1>over my own practice.

0:19:50.480 --> 0:19:51.240
<v Speaker 2>I mean, that's the thing.

0:19:51.160 --> 0:19:52.919
<v Speaker 1>With a lot of electronic music is you kind of

0:19:52.960 --> 0:19:55.840
<v Speaker 1>like load up whatever software has.

0:19:55.720 --> 0:19:58.280
<v Speaker 2>Been designed by an engineer.

0:19:57.800 --> 0:20:01.600
<v Speaker 1>And already in that software, so many decisions have been made,

0:20:01.760 --> 0:20:05.480
<v Speaker 1>Like you open up the template, the BPM, the the meter,

0:20:05.760 --> 0:20:08.360
<v Speaker 1>all these things are kind of decided. You throw in

0:20:08.400 --> 0:20:11.200
<v Speaker 1>like the instruments that are easiest to throw in and

0:20:11.240 --> 0:20:13.359
<v Speaker 1>the tune. You know, everything has just been in a

0:20:13.359 --> 0:20:16.040
<v Speaker 1>lot of ways kind of like predetermined, and you can

0:20:16.080 --> 0:20:17.760
<v Speaker 1>hear that like I can go out and you know,

0:20:17.800 --> 0:20:19.640
<v Speaker 1>I love Ableton, but I can go out and be like, oh,

0:20:19.680 --> 0:20:21.399
<v Speaker 1>this is such an Ableton song, do you know what

0:20:21.480 --> 0:20:24.639
<v Speaker 1>I mean? It just has that Ableton sounds. And that's

0:20:24.880 --> 0:20:27.840
<v Speaker 1>for me not having agency over the tool. Ableton's an

0:20:27.880 --> 0:20:31.160
<v Speaker 1>amazing tool. Don't let it write for you, like use

0:20:31.240 --> 0:20:34.400
<v Speaker 1>it to write, to write your own thing and have

0:20:34.440 --> 0:20:36.320
<v Speaker 1>your own kind of idea that you're bringing to it.

0:20:36.760 --> 0:20:39.000
<v Speaker 1>So that's why it was important to me to learn

0:20:39.000 --> 0:20:41.440
<v Speaker 1>how to program with Max and to and not even

0:20:41.520 --> 0:20:48.440
<v Speaker 1>just that, just like figuring out idiosyncratic production methods that

0:20:48.480 --> 0:20:51.320
<v Speaker 1>were really specific to whatever topic I was dealing with.

0:20:51.840 --> 0:20:55.320
<v Speaker 1>So like if I was dealing with surveillance self surveillance,

0:20:55.440 --> 0:20:59.080
<v Speaker 1>I was using maths net concrete software that he made,

0:20:59.400 --> 0:21:01.920
<v Speaker 1>you know, record myself and spying all myself things like that.

0:21:01.960 --> 0:21:04.720
<v Speaker 1>So it's like, you know, I'm not I'm not that heavily.

0:21:04.800 --> 0:21:07.520
<v Speaker 1>Sometimes I rely on lyrics, but I'm not just relying

0:21:07.560 --> 0:21:10.200
<v Speaker 1>on lyrics to express an idea. I want the kind

0:21:10.240 --> 0:21:12.879
<v Speaker 1>of process of the making of the thing to be

0:21:12.920 --> 0:21:15.120
<v Speaker 1>about the thing so that you can hear it kind

0:21:15.119 --> 0:21:19.000
<v Speaker 1>of tech texturally and tamborly in the material itself. And

0:21:19.040 --> 0:21:21.439
<v Speaker 1>that's maybe the thread that you're hearing from car to

0:21:21.840 --> 0:21:26.640
<v Speaker 1>proto is this kind of yeah, and what what ends

0:21:26.680 --> 0:21:28.320
<v Speaker 1>up happening is you have like a lo fi and

0:21:28.359 --> 0:21:31.560
<v Speaker 1>a high fi contrast and try and trying to make

0:21:31.600 --> 0:21:33.160
<v Speaker 1>those those worlds live together.

0:21:33.200 --> 0:21:33.840
<v Speaker 2>I mean, I.

0:21:33.800 --> 0:21:35.960
<v Speaker 1>Also like, was really lucky to get to work with

0:21:36.040 --> 0:21:39.720
<v Speaker 1>Marta Salogni. She's a mixing engineer based here in London

0:21:40.200 --> 0:21:42.399
<v Speaker 1>and she's amazing.

0:21:42.520 --> 0:21:44.880
<v Speaker 2>Oh my god. Mixing drums with her was just like.

0:21:45.080 --> 0:21:49.880
<v Speaker 1>Whoa, yeah that was her proto and like, oh my god,

0:21:49.920 --> 0:21:51.359
<v Speaker 1>that was really fun.

0:21:53.680 --> 0:21:55.360
<v Speaker 2>Just like all of a sudden, it's like a stadium

0:21:55.400 --> 0:21:58.080
<v Speaker 2>drum kit. That's like I was like, oh my god.

0:22:00.080 --> 0:22:02.240
<v Speaker 1>Yeah, So we're getting to collaborate with people like that

0:22:02.359 --> 0:22:05.080
<v Speaker 1>also kind of like you know, bring things to life,

0:22:05.080 --> 0:22:05.720
<v Speaker 1>and I call it.

0:22:05.720 --> 0:22:08.840
<v Speaker 3>It's interesting to hear that you that you say about

0:22:08.880 --> 0:22:11.800
<v Speaker 3>the Bay Area and the Silicon Valley kind of the

0:22:11.880 --> 0:22:16.520
<v Speaker 3>DIY element of that, because the presumption is that when

0:22:16.520 --> 0:22:20.040
<v Speaker 3>you think of those tech starts that become Instagram or

0:22:20.040 --> 0:22:23.960
<v Speaker 3>Facebook or whatever, that DIY is the last thing they are.

0:22:24.000 --> 0:22:27.280
<v Speaker 3>They are capitalist machines, and they are and they kind

0:22:27.280 --> 0:22:32.560
<v Speaker 3>of I mean they are, But is so is there

0:22:32.920 --> 0:22:36.560
<v Speaker 3>is there in the Bay areas that in this tech world.

0:22:36.800 --> 0:22:39.000
<v Speaker 3>Is everyone gunning for that? Though, Like even like the

0:22:39.080 --> 0:22:42.000
<v Speaker 3>DIY people that are doing interesting things, and they are

0:22:42.000 --> 0:22:44.879
<v Speaker 3>they all aiming or am I oversimplifying that?

0:22:44.920 --> 0:22:46.359
<v Speaker 2>I think you're oversimplifying it.

0:22:46.359 --> 0:22:49.640
<v Speaker 1>It's it's a part of the world that's extremely technologically

0:22:50.119 --> 0:22:54.960
<v Speaker 1>like highly educated, like over educated kind of like part

0:22:55.000 --> 0:22:57.439
<v Speaker 1>of the world. It's like and there you have so

0:22:57.600 --> 0:23:03.119
<v Speaker 1>many various viewpoints. I mean, it's I think the people

0:23:03.119 --> 0:23:06.320
<v Speaker 1>that get the most attention are of course the Apple

0:23:06.400 --> 0:23:09.639
<v Speaker 1>and the Facebook because they have the most power. But

0:23:09.720 --> 0:23:15.159
<v Speaker 1>you have all kinds of divergent ideologies and approaches, you know,

0:23:15.240 --> 0:23:18.720
<v Speaker 1>you have like, uh, there's a little uh, there's a

0:23:18.800 --> 0:23:22.960
<v Speaker 1>little startup called Keith McMillan Instruments where some of my

0:23:23.240 --> 0:23:27.840
<v Speaker 1>friends from Mills and Stanford have have worked where they

0:23:27.880 --> 0:23:32.360
<v Speaker 1>are just kind of like developing new MIDI controllers and

0:23:32.400 --> 0:23:35.720
<v Speaker 1>like weird instruments, and there's they are not trying to

0:23:35.760 --> 0:23:39.400
<v Speaker 1>be the next Instagram. They're just like, you know, people

0:23:39.480 --> 0:23:44.000
<v Speaker 1>who want to develop electronic music instruments to like the

0:23:44.040 --> 0:23:48.639
<v Speaker 1>next the next phase, and they're they're just like beautiful nerds.

0:23:49.520 --> 0:23:51.119
<v Speaker 1>There's like that there, and then there's a lot of

0:23:51.200 --> 0:23:55.600
<v Speaker 1>just like really genuinely curious, nerdy people there who are

0:23:55.720 --> 0:23:57.879
<v Speaker 1>just like really enjoy the research.

0:23:57.880 --> 0:24:01.040
<v Speaker 2>I mean Karma where I was based at Stanford.

0:24:02.280 --> 0:24:06.840
<v Speaker 1>The origins of that of that institution or John Chowning

0:24:07.520 --> 0:24:11.320
<v Speaker 1>is a composer and he was messing around with oscillators

0:24:11.359 --> 0:24:15.359
<v Speaker 1>in the lab and he discovered that if he modulated

0:24:15.359 --> 0:24:19.760
<v Speaker 1>the frequency of one sign tone, it would change the

0:24:19.880 --> 0:24:22.800
<v Speaker 1>tambre and the frequency of another sign tone. And that's

0:24:22.840 --> 0:24:26.680
<v Speaker 1>where we got FM synthesis, and that went into cell

0:24:26.720 --> 0:24:31.120
<v Speaker 1>phone technology, and that went into the you know, Yamaha synthesizers.

0:24:31.200 --> 0:24:35.840
<v Speaker 1>And I mean, you don't want to kind of like

0:24:36.040 --> 0:24:40.480
<v Speaker 1>over romanticize this kind of like garage narrative, but there

0:24:40.520 --> 0:24:42.879
<v Speaker 1>are there are people just kind of like tinkering and

0:24:42.920 --> 0:24:45.879
<v Speaker 1>doing things like that for the love of it.

0:24:50.960 --> 0:24:54.560
<v Speaker 3>With what you've got and you've got this AI baby, Now, Spawn,

0:24:54.800 --> 0:24:56.960
<v Speaker 3>what do you? Is there a plan of what you

0:24:57.040 --> 0:25:02.600
<v Speaker 3>do next? Like? Has have you been continually Because the

0:25:02.600 --> 0:25:05.639
<v Speaker 3>way I understand it was Spawn was constantly learning things

0:25:06.359 --> 0:25:10.080
<v Speaker 3>like constantly being fed kind of data and interpreting that.

0:25:10.280 --> 0:25:13.320
<v Speaker 3>Has that been continuing since the record came out? Is there?

0:25:13.720 --> 0:25:16.000
<v Speaker 1>Well? We took a little break to work on the

0:25:16.000 --> 0:25:21.600
<v Speaker 1>live show and then you know, Jules was wedding planning. Yeah,

0:25:21.640 --> 0:25:24.159
<v Speaker 1>but no, we've been working I would say, like on

0:25:24.200 --> 0:25:25.800
<v Speaker 1>and off since the record came out. We've been trying

0:25:25.840 --> 0:25:27.840
<v Speaker 1>to get this real real time system working. And it

0:25:27.920 --> 0:25:31.400
<v Speaker 1>used to have like a thirty second latency if it's

0:25:31.440 --> 0:25:34.760
<v Speaker 1>even a latency at that that amount of time, and

0:25:34.800 --> 0:25:37.280
<v Speaker 1>now it's down to like a second or something, I

0:25:37.280 --> 0:25:39.320
<v Speaker 1>don't know, it's pretty short or maybe even like half

0:25:39.320 --> 0:25:39.760
<v Speaker 1>a second.

0:25:40.080 --> 0:25:42.880
<v Speaker 2>So we're trying to get it to be like, you know, so.

0:25:42.800 --> 0:25:44.560
<v Speaker 3>How would that work? That would work? You would speak,

0:25:45.000 --> 0:25:46.800
<v Speaker 3>you would feed something in, and you could.

0:25:46.560 --> 0:25:49.560
<v Speaker 2>Perform through this kind of like model.

0:25:49.680 --> 0:25:51.320
<v Speaker 3>And at the moment there's about half a second to

0:25:51.359 --> 0:25:55.200
<v Speaker 3>a second delay. Yeah, exactly, actually happening. Yeah, that's quick

0:25:55.200 --> 0:25:57.280
<v Speaker 3>though to get that down from thirty seconds.

0:25:57.359 --> 0:25:59.320
<v Speaker 1>Yeah, it's getting better, but the problem is it sounds

0:25:59.400 --> 0:26:00.000
<v Speaker 1>kind of like shit.

0:26:03.920 --> 0:26:04.440
<v Speaker 2>That's the thing.

0:26:04.440 --> 0:26:06.280
<v Speaker 1>You have to be really patient, like it sounds like,

0:26:07.359 --> 0:26:09.439
<v Speaker 1>you know, it's like very like raspy and everything, but

0:26:09.520 --> 0:26:13.000
<v Speaker 1>like it you I know that it'll get better because

0:26:13.040 --> 0:26:17.359
<v Speaker 1>we've been there before and we yeah, so we I

0:26:17.359 --> 0:26:18.919
<v Speaker 1>don't want to just do like some sort of like

0:26:18.960 --> 0:26:21.919
<v Speaker 1>parlor trick on stage and be like, you know, like

0:26:22.240 --> 0:26:25.639
<v Speaker 1>sing something and then thirty seconds later this like comes

0:26:25.680 --> 0:26:27.800
<v Speaker 1>out and it's like see we do real time. I'm like, no,

0:26:27.880 --> 0:26:29.560
<v Speaker 1>I want it to be something interesting. So that's why

0:26:29.600 --> 0:26:31.120
<v Speaker 1>we've been trying to develop it.

0:26:32.080 --> 0:26:33.600
<v Speaker 2>But yeah, it's something that we'll keep doing.

0:26:33.640 --> 0:26:35.520
<v Speaker 1>It's just one of those things where you know, like

0:26:35.520 --> 0:26:37.040
<v Speaker 1>we've had a lot of people be like, oh, can

0:26:37.080 --> 0:26:39.720
<v Speaker 1>we like what about March twenty twenty we can have

0:26:39.760 --> 0:26:41.880
<v Speaker 1>And I'm like, I don't know. I don't know when

0:26:41.920 --> 0:26:44.479
<v Speaker 1>it's gonna when the like aha moment is gonna come

0:26:44.520 --> 0:26:46.119
<v Speaker 1>and it's gonna be like, oh shit, like now it

0:26:46.160 --> 0:26:46.760
<v Speaker 1>sounds cool.

0:26:47.520 --> 0:26:48.240
<v Speaker 2>You just don't know.

0:26:48.320 --> 0:26:52.000
<v Speaker 1>So we're just trying to not get exasperated and just

0:26:52.040 --> 0:26:54.280
<v Speaker 1>continue to work with it and then hopefully something cool

0:26:54.320 --> 0:26:54.920
<v Speaker 1>will come out.

0:26:55.280 --> 0:26:57.240
<v Speaker 3>It has the whole experience taught you to be a

0:26:57.240 --> 0:26:59.200
<v Speaker 3>lot to be more patient. Were you patient or you

0:26:59.200 --> 0:27:00.320
<v Speaker 3>a patient person anyway?

0:27:00.520 --> 0:27:01.639
<v Speaker 2>Oh God, ask Matt.

0:27:01.800 --> 0:27:04.879
<v Speaker 1>No, I'm not patient at all, but I mean I

0:27:04.880 --> 0:27:07.359
<v Speaker 1>don't know, it depends. Maybe with work, I am a

0:27:07.400 --> 0:27:09.920
<v Speaker 1>little bit more patient. I think it also just makes

0:27:09.920 --> 0:27:14.320
<v Speaker 1>you kind of like it's made me like aestheticize the

0:27:14.400 --> 0:27:17.280
<v Speaker 1>concepts around AI as well and kind of like dig

0:27:17.359 --> 0:27:21.159
<v Speaker 1>deeper into the vocal stuff and.

0:27:22.000 --> 0:27:29.639
<v Speaker 2>Maybe kind of like yeah, maybe like conceptualize. You almost

0:27:29.680 --> 0:27:30.120
<v Speaker 2>have to like.

0:27:30.119 --> 0:27:33.160
<v Speaker 1>Imagine what it could do even though it's not there yet,

0:27:33.200 --> 0:27:35.159
<v Speaker 1>and then kind of like use that as material as

0:27:35.200 --> 0:27:37.080
<v Speaker 1>well or like you know, that's one of the reasons

0:27:37.080 --> 0:27:41.840
<v Speaker 1>why we did the training sets, the column response.

0:27:41.960 --> 0:27:45.720
<v Speaker 2>Where we would just wait for this elevator to chuck

0:27:47.320 --> 0:27:51.040
<v Speaker 2>elevator tools closing.

0:27:52.400 --> 0:27:54.359
<v Speaker 1>Yeah, so that's why we were doing these kind of

0:27:54.359 --> 0:27:57.400
<v Speaker 1>training ceremonies where you know, we would do column response

0:27:57.440 --> 0:27:59.480
<v Speaker 1>singing with the audience to create voice models of the

0:27:59.520 --> 0:28:01.800
<v Speaker 1>audience to show people how a training set would be

0:28:01.840 --> 0:28:05.320
<v Speaker 1>made because SPAWN wasn't there yet for the real time system.

0:28:05.359 --> 0:28:07.399
<v Speaker 1>So we're like, okay, how you know, how do we

0:28:07.440 --> 0:28:11.159
<v Speaker 1>make a performance out of the making of the data sets?

0:28:11.160 --> 0:28:14.520
<v Speaker 1>Like actually the whole process of training and all of that,

0:28:14.520 --> 0:28:17.960
<v Speaker 1>that's all very performative. I mean, you're performing for SPAWN,

0:28:18.119 --> 0:28:20.159
<v Speaker 1>so we're like, how do how do you make a

0:28:20.160 --> 0:28:20.960
<v Speaker 1>performance out.

0:28:20.800 --> 0:28:21.600
<v Speaker 2>Of that for the public.

0:28:22.320 --> 0:28:25.199
<v Speaker 1>So it's it's made me kind of like have to

0:28:25.200 --> 0:28:27.880
<v Speaker 1>like open up the process as a performance itself.

0:28:28.600 --> 0:28:30.359
<v Speaker 3>Now, I know you would have been asked that this

0:28:30.440 --> 0:28:32.359
<v Speaker 3>is I imagine this is the thing you have been

0:28:32.400 --> 0:28:34.879
<v Speaker 3>asked the most since this record came out. I'm going

0:28:34.960 --> 0:28:38.560
<v Speaker 3>to ask it anyway about your relationship with Spawn people.

0:28:38.720 --> 0:28:40.600
<v Speaker 3>Is that been the thing that people say, like, yeah,

0:28:40.760 --> 0:28:46.080
<v Speaker 3>do you feel close? Do you have this bond with Spawn,

0:28:46.680 --> 0:28:47.760
<v Speaker 3>your AI machine?

0:28:48.320 --> 0:28:51.640
<v Speaker 1>I think it depends on what we're working on at

0:28:51.680 --> 0:28:54.640
<v Speaker 1>the time. I mean, definitely when we were doing a

0:28:54.640 --> 0:28:58.240
<v Speaker 1>lot of my own voice model stuff that there's like

0:28:58.280 --> 0:29:00.920
<v Speaker 1>an uncannoness to that or like an timacy there, because

0:29:00.960 --> 0:29:05.200
<v Speaker 1>I was hearing my voice played back to myself but

0:29:05.440 --> 0:29:10.120
<v Speaker 1>through a different logic, through like a different intelligence, and

0:29:10.160 --> 0:29:13.160
<v Speaker 1>so that was Yeah, I mean that's interesting and intimate

0:29:13.280 --> 0:29:13.600
<v Speaker 1>for sure.

0:29:14.080 --> 0:29:16.240
<v Speaker 2>Yeah, but I'm careful not.

0:29:16.280 --> 0:29:18.200
<v Speaker 1>To try and you know, it's you know, Spawn's not

0:29:18.240 --> 0:29:20.280
<v Speaker 1>a human baby.

0:29:20.440 --> 0:29:23.120
<v Speaker 2>You don't want to be that my actual baby.

0:29:23.240 --> 0:29:26.240
<v Speaker 1>Yeah, I mean the baby metaphor is really useful in

0:29:26.280 --> 0:29:28.600
<v Speaker 1>a lot of ways, but I want to be careful

0:29:28.680 --> 0:29:32.040
<v Speaker 1>and not you know, necessarily anthropomorphize her. And that's also

0:29:32.080 --> 0:29:34.960
<v Speaker 1>why we haven't given her like some sort of avatar

0:29:35.240 --> 0:29:39.360
<v Speaker 1>kind of form to latch onto, because it's not it's

0:29:39.400 --> 0:29:41.360
<v Speaker 1>not really about that like humanizing.

0:29:41.520 --> 0:29:43.760
<v Speaker 3>You don't want to be that. Persons who meets people

0:29:43.800 --> 0:29:46.160
<v Speaker 3>at parties and and you say to you, they say,

0:29:46.200 --> 0:29:47.760
<v Speaker 3>do you have kids? And he say, yeah, I've got

0:29:47.920 --> 0:29:49.880
<v Speaker 3>I've got a daughter. She's called Spawn.

0:29:50.640 --> 0:29:52.719
<v Speaker 2>And then the moms with the human babies are like,

0:29:52.840 --> 0:29:53.880
<v Speaker 2>oh my god.

0:29:54.240 --> 0:29:59.480
<v Speaker 3>I go away and take Spawn out on play god

0:30:00.800 --> 0:30:04.800
<v Speaker 3>with other human babies. Yeah, you don't really want to

0:30:04.800 --> 0:30:05.920
<v Speaker 3>be going down that route.

0:30:06.000 --> 0:30:06.800
<v Speaker 2>Yeah, that's true.

0:30:06.800 --> 0:30:09.240
<v Speaker 1>I mean my friends are pretty patient, but I don't

0:30:09.240 --> 0:30:11.640
<v Speaker 1>know if they would lose Yeah, patients there.

0:30:12.080 --> 0:30:15.880
<v Speaker 3>You grew up in, like Tennessee, a rural and quite

0:30:15.960 --> 0:30:16.880
<v Speaker 3>religious place.

0:30:16.760 --> 0:30:18.280
<v Speaker 2>Right, extremely religious.

0:30:18.960 --> 0:30:20.400
<v Speaker 3>Do you get Do you get back that much? John

0:30:20.520 --> 0:30:21.920
<v Speaker 3>Johnston City? Johnson City?

0:30:22.000 --> 0:30:22.840
<v Speaker 2>Right, Johnson City.

0:30:22.920 --> 0:30:27.080
<v Speaker 1>Yeah, it's kind of difficult because it requires minimum three planes.

0:30:27.360 --> 0:30:31.760
<v Speaker 1>Oh okay, it's pretty expensive because it's you know, just not.

0:30:31.800 --> 0:30:33.680
<v Speaker 2>Like a very well traveled route.

0:30:33.760 --> 0:30:35.160
<v Speaker 3>Do you have family this I do?

0:30:35.240 --> 0:30:35.480
<v Speaker 1>Yeah.

0:30:35.520 --> 0:30:37.600
<v Speaker 2>I try to get back there as much as possible, but.

0:30:39.120 --> 0:30:43.360
<v Speaker 1>Not super often. Sometimes I meet my family in other cities. Yeah, okay,

0:30:43.240 --> 0:30:45.080
<v Speaker 1>I kind of like meet in the middle situation.

0:30:45.400 --> 0:30:47.760
<v Speaker 3>How I mean, have you ever played a show there?

0:30:48.200 --> 0:30:50.760
<v Speaker 1>Not in Johnson City, But I played a show in Knoxville,

0:30:51.600 --> 0:30:54.720
<v Speaker 1>which is a it's like a college town, that's an

0:30:54.720 --> 0:30:58.880
<v Speaker 1>hour and a half hour and a half west and

0:30:59.200 --> 0:31:01.840
<v Speaker 1>there is a kind of like an arty music.

0:31:01.600 --> 0:31:04.280
<v Speaker 2>Festival there called Big Ears. Okay, and know if you've

0:31:04.280 --> 0:31:04.520
<v Speaker 2>heard of.

0:31:04.520 --> 0:31:05.720
<v Speaker 3>It, good night, I wish I had.

0:31:05.960 --> 0:31:09.120
<v Speaker 1>Yeah. Well, one year Laurie Anderson curated it, right, Okay,

0:31:09.240 --> 0:31:10.480
<v Speaker 1>so it's like I.

0:31:10.400 --> 0:31:12.560
<v Speaker 2>Don't know if that's like a sign.

0:31:12.280 --> 0:31:15.719
<v Speaker 1>Of approval, but they have really great I mean they

0:31:15.760 --> 0:31:19.680
<v Speaker 1>have great people, great curation. And yeah, we played that

0:31:19.720 --> 0:31:22.520
<v Speaker 1>one year and my family came over. That was pretty

0:31:22.520 --> 0:31:26.040
<v Speaker 1>wild because they were like whooping in the in the back.

0:31:27.320 --> 0:31:30.600
<v Speaker 3>How do you think, like in your hometown where you

0:31:30.600 --> 0:31:32.760
<v Speaker 3>grew up, would your music how would you how do

0:31:32.800 --> 0:31:34.040
<v Speaker 3>you think that it would go down?

0:31:34.160 --> 0:31:36.760
<v Speaker 1>I think it would go down now better than ever before,

0:31:36.920 --> 0:31:41.720
<v Speaker 1>because there's so much music that might sound familiar. I mean,

0:31:41.760 --> 0:31:46.120
<v Speaker 1>like the like Frontier, the beginning is this like acapella

0:31:46.240 --> 0:31:48.160
<v Speaker 1>sacred harp song, and I think that would.

0:31:47.920 --> 0:31:49.880
<v Speaker 2>Go down well. And then it would go into the

0:31:50.320 --> 0:31:52.040
<v Speaker 2>kind of remix of the song and they'd be.

0:31:52.040 --> 0:31:53.960
<v Speaker 1>Like whoa, what is this? But there would be that

0:31:54.200 --> 0:31:57.760
<v Speaker 1>entry point of the you know, the opening a cappella parts.

0:31:57.800 --> 0:32:00.240
<v Speaker 1>I think there's more entry points for my hometown now

0:32:00.240 --> 0:32:03.120
<v Speaker 1>than maybe ever before, but it would still definitely be

0:32:03.200 --> 0:32:03.760
<v Speaker 1>very alien.

0:32:04.120 --> 0:32:07.520
<v Speaker 3>Yeah, because there are points of That's what. That's one

0:32:07.560 --> 0:32:12.320
<v Speaker 3>thing about this record more than your previous two, I think,

0:32:12.440 --> 0:32:15.720
<v Speaker 3>is that there are those kind of roots in like

0:32:16.560 --> 0:32:20.600
<v Speaker 3>vocal harmonies and choir singing and that kind of thing.

0:32:20.600 --> 0:32:22.680
<v Speaker 3>It feels like this record has a bit of all

0:32:22.680 --> 0:32:26.360
<v Speaker 3>the places that you that you've lived in or into it.

0:32:26.960 --> 0:32:28.320
<v Speaker 2>Yeah, in some ways, for sure.

0:32:28.440 --> 0:32:30.560
<v Speaker 3>Do you know what you're going to do for your

0:32:30.600 --> 0:32:31.200
<v Speaker 3>next one? Yet?

0:32:32.360 --> 0:32:34.360
<v Speaker 2>That's a cruel question.

0:32:35.680 --> 0:32:38.360
<v Speaker 1>Am. My good friend Jalen, She's like, whenever anybody asked

0:32:38.360 --> 0:32:41.640
<v Speaker 1>her that, she just leave the end of discussion.

0:32:42.360 --> 0:32:44.600
<v Speaker 2>She's like, what do you want for me? I just

0:32:44.720 --> 0:32:45.720
<v Speaker 2>made this thing.

0:32:46.080 --> 0:32:48.400
<v Speaker 3>Just give them birth to this baby, don't ask for

0:32:48.440 --> 0:32:51.880
<v Speaker 3>another one. Now, that is a cruel question. I suppose

0:32:52.120 --> 0:32:53.960
<v Speaker 3>the only reason I ask it is just because I

0:32:54.040 --> 0:32:57.880
<v Speaker 3>know how much has gone into this one. It feels

0:32:57.920 --> 0:33:02.160
<v Speaker 3>like more than and you know, almost any other record

0:33:02.200 --> 0:33:04.520
<v Speaker 3>I can think of in terms of like to get

0:33:04.560 --> 0:33:07.360
<v Speaker 3>it there. Yeah, but I suppose that makes it the

0:33:07.400 --> 0:33:09.680
<v Speaker 3>cruelest questionable. It makes it extra cruel.

0:33:09.440 --> 0:33:11.200
<v Speaker 1>To you, I guess, And it doesn't make any sense

0:33:11.240 --> 0:33:13.840
<v Speaker 1>like my approach I have this like really unwieldy, like

0:33:13.960 --> 0:33:15.520
<v Speaker 1>time consuming.

0:33:17.160 --> 0:33:18.280
<v Speaker 2>Conceptual approach.

0:33:18.320 --> 0:33:20.640
<v Speaker 1>Even though that's like a bad word now since that

0:33:20.840 --> 0:33:25.400
<v Speaker 1>article came out. God yeah, but it's just this, it's

0:33:25.400 --> 0:33:27.040
<v Speaker 1>a it's a very time consuming approach.

0:33:27.280 --> 0:33:29.760
<v Speaker 2>In today's kind of like musical landscape.

0:33:29.800 --> 0:33:32.440
<v Speaker 1>It's more about like these kind of like fast releases

0:33:32.520 --> 0:33:34.960
<v Speaker 1>and like constantly being present, and it's like kind of

0:33:35.000 --> 0:33:38.440
<v Speaker 1>antithetical to the way that I operate. So who knows

0:33:38.480 --> 0:33:41.160
<v Speaker 1>what's going to happen to the album format in general.

0:33:41.280 --> 0:33:43.360
<v Speaker 1>I still like making albums, but of course it's not

0:33:43.440 --> 0:33:46.560
<v Speaker 1>like it doesn't have to be the definitive format for

0:33:46.680 --> 0:33:48.520
<v Speaker 1>releasing work. I mean, it's only been around for like

0:33:48.600 --> 0:33:51.320
<v Speaker 1>how many years, you know, it's there. There are other Yeah,

0:33:51.400 --> 0:33:52.280
<v Speaker 1>there are other formats.

0:33:52.280 --> 0:33:53.120
<v Speaker 2>I don't know. We'll see.

0:33:53.560 --> 0:33:58.840
<v Speaker 1>I have some ideas for some some other projects in mind,

0:33:58.920 --> 0:33:59.920
<v Speaker 1>but I don't want to talk about.

0:34:00.040 --> 0:34:02.360
<v Speaker 3>Okay, that's fair enough. And the other thing that's happened

0:34:02.400 --> 0:34:05.960
<v Speaker 3>since we did our article was, I think a couple

0:34:06.000 --> 0:34:08.120
<v Speaker 3>of weeks after we met, you were going to go

0:34:08.280 --> 0:34:11.239
<v Speaker 3>and do your finish complete your PhD.

0:34:10.920 --> 0:34:13.200
<v Speaker 2>Yes at Stamford and I did Did you do it?

0:34:13.239 --> 0:34:13.520
<v Speaker 2>I did?

0:34:13.560 --> 0:34:15.120
<v Speaker 3>And did you did you have to how did it go?

0:34:15.400 --> 0:34:18.400
<v Speaker 3>So this is this was that was a defense we

0:34:18.440 --> 0:34:20.239
<v Speaker 3>call them, I think we call them vibors. Here is

0:34:20.280 --> 0:34:24.920
<v Speaker 3>where you go. You go and defend what you've what

0:34:24.960 --> 0:34:28.680
<v Speaker 3>you've studied exactly, and they say, yes you can have

0:34:28.719 --> 0:34:29.880
<v Speaker 3>your PhD or no you can't.

0:34:30.080 --> 0:34:32.000
<v Speaker 1>Yeah. Yeah, they asked you a bunch of questions and

0:34:32.040 --> 0:34:34.480
<v Speaker 1>you have to give a presentation and the whole community.

0:34:34.120 --> 0:34:36.160
<v Speaker 3>Is there and you had to go to Stamford for this.

0:34:36.239 --> 0:34:37.520
<v Speaker 2>Oh yeah, yeah, you have to be there.

0:34:37.520 --> 0:34:39.799
<v Speaker 1>You have to give a presentation and it has to

0:34:39.840 --> 0:34:42.200
<v Speaker 1>be open to the community, so anyone from the community

0:34:42.239 --> 0:34:43.200
<v Speaker 1>can come and be like.

0:34:43.760 --> 0:34:46.160
<v Speaker 2>You lie or whatever. You know, you can have that.

0:34:46.400 --> 0:34:50.920
<v Speaker 1>Yes I objected, Yeah, but no one objected luckily, and

0:34:51.239 --> 0:34:53.759
<v Speaker 1>I got through and then I had to do some

0:34:54.480 --> 0:34:59.240
<v Speaker 1>tweaks to my text that then I sent in later.

0:34:59.680 --> 0:35:02.759
<v Speaker 2>Right, Yeah, so it's all wrapped up.

0:35:02.800 --> 0:35:06.680
<v Speaker 3>Now done it is. Yeah, congratulations. How long did how

0:35:06.719 --> 0:35:08.520
<v Speaker 3>long did you? You did it quite quickly?

0:35:08.680 --> 0:35:11.239
<v Speaker 2>No, I did it. No, it wasn't at all. I

0:35:11.239 --> 0:35:12.719
<v Speaker 2>mean I was touring and.

0:35:12.640 --> 0:35:18.440
<v Speaker 1>Releasing Yeah, excuse it was seven years total, Okay, but

0:35:18.560 --> 0:35:21.719
<v Speaker 1>I mean it's also it's hard to compare it to

0:35:21.880 --> 0:35:24.840
<v Speaker 1>the UK programs because the US is set up in

0:35:24.880 --> 0:35:28.399
<v Speaker 1>a different way, like the first year is more kind

0:35:28.400 --> 0:35:31.440
<v Speaker 1>of like an extended master's program where you're taking full coursework,

0:35:31.920 --> 0:35:34.279
<v Speaker 1>and the second and third year you're taking coursework and

0:35:34.480 --> 0:35:37.200
<v Speaker 1>you have a teaching requirement. So there's a lot of

0:35:37.320 --> 0:35:41.000
<v Speaker 1>teaching training happening in the US system that I don't

0:35:41.000 --> 0:35:43.080
<v Speaker 1>think happens so much in the UK system. You're not

0:35:43.080 --> 0:35:47.640
<v Speaker 1>really required to teach, but it's also funded in the States,

0:35:48.120 --> 0:35:50.279
<v Speaker 1>so it's like a job. Like, you know, I had

0:35:50.320 --> 0:35:55.280
<v Speaker 1>funding for like five six years, which is that. I mean, honestly,

0:35:55.320 --> 0:35:57.680
<v Speaker 1>that's how I kind of like transitioned from working full time.

0:35:57.719 --> 0:35:59.280
<v Speaker 2>I used to work at a children's museum.

0:35:59.719 --> 0:36:04.040
<v Speaker 1>Did Yeah, I was a manager of the like interactive

0:36:04.200 --> 0:36:07.400
<v Speaker 1>exhibits there. Okay, So I had like a walkie talkie

0:36:07.400 --> 0:36:10.600
<v Speaker 1>on my belt and I would sit at my desk working,

0:36:10.680 --> 0:36:12.719
<v Speaker 1>and then I had a crew who would like go

0:36:12.760 --> 0:36:15.000
<v Speaker 1>fix exhibits when they would break.

0:36:15.000 --> 0:36:15.879
<v Speaker 2>But then when they would go.

0:36:17.600 --> 0:36:20.000
<v Speaker 1>Well, luckily it wasn't usually that, but it was more

0:36:20.160 --> 0:36:23.960
<v Speaker 1>like you know this, like these networked computers aren't talking

0:36:24.000 --> 0:36:25.760
<v Speaker 1>to each other, and now they can't.

0:36:25.520 --> 0:36:28.879
<v Speaker 2>Do their claymation video and everyone's crying, and.

0:36:28.880 --> 0:36:31.359
<v Speaker 1>So like when my crew would go on their lunch break,

0:36:31.360 --> 0:36:33.440
<v Speaker 1>then I would have the walkie talking and it was like,

0:36:33.480 --> 0:36:35.759
<v Speaker 1>you know, you just like get like a call and

0:36:35.840 --> 0:36:37.760
<v Speaker 1>you go down there and there's like all these kids

0:36:37.760 --> 0:36:41.360
<v Speaker 1>and you have to like kind of troubleshoot tech stuff

0:36:41.480 --> 0:36:42.600
<v Speaker 1>while kids are.

0:36:42.520 --> 0:36:46.080
<v Speaker 2>Like trying to get in there, and that's why, you know.

0:36:46.200 --> 0:36:49.520
<v Speaker 1>So I have had so many tech meltdowns on stage

0:36:49.560 --> 0:36:51.040
<v Speaker 1>and people were like, you're always so.

0:36:51.160 --> 0:36:54.520
<v Speaker 2>Calm, and I'm like, yeah, like I'm so used to

0:36:54.680 --> 0:36:55.920
<v Speaker 2>having people like.

0:36:57.280 --> 0:36:57.360
<v Speaker 1>Me.

0:36:58.080 --> 0:37:00.720
<v Speaker 2>Yeah, it's like it just doesn't anywhere.

0:37:00.760 --> 0:37:02.719
<v Speaker 1>I'm just like, if they're just machines, they're either it's

0:37:02.719 --> 0:37:04.160
<v Speaker 1>either going to work or it's not going to No

0:37:04.160 --> 0:37:05.040
<v Speaker 1>one's going to die.

0:37:05.239 --> 0:37:07.760
<v Speaker 2>Yeah, it's gonna be fine.

0:37:08.280 --> 0:37:10.880
<v Speaker 1>Yeah, That's what I was doing before I got into Stanford.

0:37:10.960 --> 0:37:13.120
<v Speaker 1>I didn't imagine that they would let me into that

0:37:13.160 --> 0:37:14.080
<v Speaker 1>program like I was.

0:37:14.920 --> 0:37:16.000
<v Speaker 2>I was really surprised.

0:37:16.000 --> 0:37:18.000
<v Speaker 1>But then when when they let me in, then that

0:37:18.120 --> 0:37:20.280
<v Speaker 1>was when I was able to kind of like transition

0:37:20.360 --> 0:37:24.280
<v Speaker 1>to doing music full time because I had this salary

0:37:24.320 --> 0:37:25.560
<v Speaker 1>and you know, in the States.

0:37:25.360 --> 0:37:27.640
<v Speaker 2>It's always this question of like healthcare, Who's.

0:37:27.400 --> 0:37:29.640
<v Speaker 1>Going to pay for your health insurance, So going from

0:37:29.680 --> 0:37:32.279
<v Speaker 1>the museum to Stanford, I was able to have health

0:37:32.280 --> 0:37:33.240
<v Speaker 1>care and all that kind of stuff.

0:37:33.280 --> 0:37:34.640
<v Speaker 2>So yeah, it's always really.

0:37:34.480 --> 0:37:36.439
<v Speaker 1>Funny to me when people were like, oh, you went

0:37:36.520 --> 0:37:37.439
<v Speaker 1>to Stanford.

0:37:37.480 --> 0:37:39.640
<v Speaker 2>I'm like, yeah, I mean I got a job, Like.

0:37:40.080 --> 0:37:42.359
<v Speaker 1>I got a really cool job, and I was really

0:37:42.440 --> 0:37:44.520
<v Speaker 1>lucky to get a cool job. But it's you know,

0:37:44.600 --> 0:37:47.160
<v Speaker 1>it was I don't know, I just find that really funny,

0:37:47.400 --> 0:37:51.200
<v Speaker 1>but yeah, I was. I was really lucky too that

0:37:51.239 --> 0:37:53.279
<v Speaker 1>they that they gave me that support and then I

0:37:53.360 --> 0:37:55.400
<v Speaker 1>was able to kind of transition because then you have

0:37:55.400 --> 0:37:57.640
<v Speaker 1>a couple of years of funding just to write, and

0:37:57.680 --> 0:38:00.640
<v Speaker 1>then I was able to continue to tour and to develop.

0:38:00.719 --> 0:38:03.680
<v Speaker 1>And yeah, it was definitely that like leg.

0:38:03.600 --> 0:38:05.320
<v Speaker 3>Up, nice one stuff I hated.

0:38:05.360 --> 0:38:06.080
<v Speaker 2>Thanks Stamford.

0:38:07.440 --> 0:38:09.400
<v Speaker 3>Did you enjoy the teaching side of things? Did you

0:38:09.480 --> 0:38:09.759
<v Speaker 3>like that?

0:38:09.800 --> 0:38:10.720
<v Speaker 2>I really did?

0:38:11.080 --> 0:38:11.279
<v Speaker 3>Yeah.

0:38:11.320 --> 0:38:13.200
<v Speaker 1>I mean it depends on the subject, like things that

0:38:13.239 --> 0:38:15.040
<v Speaker 1>I don't that I'm not that I don't know that

0:38:15.120 --> 0:38:15.520
<v Speaker 1>much about.

0:38:15.600 --> 0:38:17.839
<v Speaker 2>I don't enjoy because I'm just like, sorry, guys, I'm

0:38:18.239 --> 0:38:19.920
<v Speaker 2>not that much about.

0:38:21.960 --> 0:38:24.920
<v Speaker 1>But I was able to develop a course with a

0:38:25.120 --> 0:38:30.719
<v Speaker 1>musicologist's PhD student who was there, Victoria. She was really

0:38:30.760 --> 0:38:34.919
<v Speaker 1>interested in writing about kind of like she was really

0:38:34.960 --> 0:38:38.520
<v Speaker 1>interested in writing about electronic contemporary electronic music in like

0:38:38.560 --> 0:38:41.399
<v Speaker 1>an academic way because there hasn't been so much. Of course,

0:38:41.440 --> 0:38:45.640
<v Speaker 1>there are like little pockets, and me as a practitioner,

0:38:46.640 --> 0:38:50.120
<v Speaker 1>we kind of like had a nice balance, I think,

0:38:50.600 --> 0:38:52.480
<v Speaker 1>and so we co taught this class that we were

0:38:52.520 --> 0:38:55.840
<v Speaker 1>able to design ourselves and it was the Aesthetics of

0:38:55.880 --> 0:38:59.200
<v Speaker 1>Electronic Music post to nineteen eighty because in.

0:38:59.160 --> 0:39:04.560
<v Speaker 2>The academy often often things stop in like nineteen seventy

0:39:04.640 --> 0:39:04.960
<v Speaker 2>or something.

0:39:05.040 --> 0:39:07.319
<v Speaker 1>It's like it's like digital happens, and everyone's like, Okay,

0:39:07.320 --> 0:39:07.960
<v Speaker 1>we're not gonna.

0:39:07.800 --> 0:39:11.080
<v Speaker 2>Talk about that. So we really wanted to.

0:39:11.880 --> 0:39:14.960
<v Speaker 1>Yeah, we wanted to talk about contemporary shit that students

0:39:14.960 --> 0:39:15.520
<v Speaker 1>were listening to.

0:39:15.719 --> 0:39:16.399
<v Speaker 3>It sounds good.

0:39:16.520 --> 0:39:17.080
<v Speaker 2>It was fun.

0:39:17.200 --> 0:39:20.560
<v Speaker 1>Yeah, it was really fun to like listen to what

0:39:20.760 --> 0:39:23.920
<v Speaker 1>students liked and then be like, oh, okay, like this

0:39:24.040 --> 0:39:26.800
<v Speaker 1>comes from and then like trace it back to its.

0:39:26.680 --> 0:39:29.359
<v Speaker 2>Origins and they didn't know the roots of it.

0:39:29.680 --> 0:39:32.040
<v Speaker 1>And then once you kind of like went down that tree,

0:39:32.080 --> 0:39:34.000
<v Speaker 1>then they all got really into.

0:39:33.880 --> 0:39:35.720
<v Speaker 2>The roots of whatever.

0:39:35.760 --> 0:39:38.399
<v Speaker 1>You know, Like I don't know, if it's like nine

0:39:38.440 --> 0:39:40.600
<v Speaker 1>inch Nails is maybe an example, like one of the students,

0:39:40.640 --> 0:39:42.239
<v Speaker 1>was like super into Nine inch Nails, and I'm like,

0:39:42.360 --> 0:39:45.920
<v Speaker 1>nine inch Nails is like great like pop writing of

0:39:46.160 --> 0:39:49.080
<v Speaker 1>industrial music, and like this is the history of industrial

0:39:49.160 --> 0:39:50.920
<v Speaker 1>music and these are the bands that kind of like

0:39:51.000 --> 0:39:54.000
<v Speaker 1>started this sound. And and then she got super into

0:39:54.040 --> 0:39:57.120
<v Speaker 1>that stuff. And yeah, so I don't know that that's fun.

0:39:57.480 --> 0:40:00.560
<v Speaker 3>Yeah, that's so fun. Yeah it sounds good. This has

0:40:00.640 --> 0:40:04.359
<v Speaker 3>been a glamorous setting. We were quite lucky. I think

0:40:04.360 --> 0:40:06.160
<v Speaker 3>we only had about two people come out to lift

0:40:06.160 --> 0:40:06.680
<v Speaker 3>and look at us.

0:40:06.800 --> 0:40:09.960
<v Speaker 2>Bizarrely, I'm sad that we didn't ask them an interview.

0:40:10.160 --> 0:40:13.920
<v Speaker 3>We should have. Yeah, well, I mean, yeah, we should

0:40:13.920 --> 0:40:16.200
<v Speaker 3>have done that. But thank you for coming on the

0:40:16.239 --> 0:40:24.960
<v Speaker 3>podcast for sure. Yeah, anyway, good night,