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Mini: Computer Music · Why We Do What We Do

• 0:03
  Speaker 1: You're listening to why we do what we do. Welcome
• 0:16
  Speaker 1: to why we do what we do? Mini.
• 0:18
  Speaker 2: I'm your host, Abraham, and I am Justin or Ai Shane.
• 0:23
  Speaker 2: Actually Justin is the person we talk about at the
• 0:27
  Speaker 2: end of all of our episodes, and he gets to
• 0:29
  Speaker 2: join me for the first time today and for a
• 0:31
  Speaker 2: topic that is kind of relevant because or to you specifically,
• 0:35
  Speaker 2: because we're talking about AI music and you have written
• 0:38
  Speaker 2: lots of music. I have, myself, not with AI, written
• 0:43
  Speaker 2: a lot of music. I haven't made any AI music yet,
• 0:47
  Speaker 2: but I'm curious to learn all about it and teach
• 0:50
  Speaker 2: people all about it, of course, all of the same time.
• 0:55
  Speaker 2: It's the magic of podcasting. If you are joining us
• 0:58
  Speaker 2: for the first time, then welcome.
• 0:59
  Speaker 1: I hope that you enjoy what you hear in this
• 1:01
  Speaker 1: discussion today, and you get the introduction to the podcast
• 1:05
  Speaker 1: with Justin's sultry voice, so look at you. If you
• 1:09
  Speaker 1: are a returning person, then welcome back. And surprise, we
• 1:11
  Speaker 1: have a new co host for this episode. We'll call
• 1:15
  Speaker 1: it a try out.
• 1:15
  Speaker 3: I guess I try out that I hope I fail.
• 1:18
  Speaker 2: I want Shane back already, and.
• 1:23
  Speaker 1: I hope that you enjoy what you hear in this
• 1:26
  Speaker 1: discussion today and either way, if you'd like to support us,
• 1:28
  Speaker 1: you can join us on Patreon, leave us a rating
• 1:30
  Speaker 1: and a review like subscribe, tell a friend. I'll talk
• 1:33
  Speaker 1: more about those at the end of this discussion. But
• 1:36
  Speaker 1: this is a mini that means it's short. We're going
• 1:38
  Speaker 1: to do a quick discussion about a thing and then
• 1:41
  Speaker 1: let you go about your day, your week, what have you.
• 1:44
  Speaker 1: But we release these on Mondays, So that's what's happening.
• 1:48
  Speaker 3: It sure is, and I'm excited to be a part
• 1:51
  Speaker 3: of it.
• 1:52
  Speaker 1: Well, thank you. I appreciate you joining me today. Yeah,
• 1:55
  Speaker 1: so let's go ahead and get into this. We are
• 1:57
  Speaker 1: talking about music specific with AI generated music, and importantly,
• 2:04
  Speaker 1: music is an art form that has encompassed the development
• 2:08
  Speaker 1: of various skills and proficiencies within the constraints of an
• 2:12
  Speaker 1: instrument or a biological instrument such as our voice. For
• 2:16
  Speaker 1: probably as long as humans have been around, they've probably
• 2:19
  Speaker 1: been singing or yelling or pounding on things or I
• 2:23
  Speaker 1: don't know, whistling and some capacity to make some form
• 2:27
  Speaker 1: of music for a very long time.
• 2:29
  Speaker 2: Yeah, you'd probably hit on stuff beats, Yeah, exactly. Only
• 2:34
  Speaker 2: for the last century and some change have humans been
• 2:37
  Speaker 2: able to create permanent versions of music by recording it?
• 2:41
  Speaker 1: Yeah, the recording history is kind of interesting, and it's
• 2:44
  Speaker 1: only maybe late eighteen nineties or so, late eighteen hundreds
• 2:48
  Speaker 1: is when they were doing any version of any kind
• 2:50
  Speaker 1: of recording didn't really become common until I want to say,
• 2:54
  Speaker 1: the nineteen twenties ish, and even then it was still
• 2:57
  Speaker 1: pretty rare for a while. The only way people could
• 3:00
  Speaker 1: hear well for a very long time, the only way
• 3:02
  Speaker 1: people could hear music is by going to see someone perform.
• 3:05
  Speaker 1: Then they could get sheet music that they could learn
• 3:07
  Speaker 1: to play themselves. Then they could get recordings of it,
• 3:11
  Speaker 1: and again like that was difficult to come by even then,
• 3:15
  Speaker 1: so like you had broadcast of music with like radios
• 3:18
  Speaker 1: and whatnot. But eventually they figured out vinyls as old
• 3:23
  Speaker 1: things it could sell. Before that, they actually had like
• 3:25
  Speaker 1: little waxy cylinders that they would have music recorded on.
• 3:30
  Speaker 1: I figure out what they're called. But that was another
• 3:32
  Speaker 1: way they would do it anyway. It's a recent invention
• 3:35
  Speaker 1: in the last century or so. And then later humans
• 3:38
  Speaker 1: started using computers to synthesize music, to create it just
• 3:42
  Speaker 1: from the computer itself, and then very recently humans created
• 3:46
  Speaker 1: software that would just completely replace the humans and the
• 3:50
  Speaker 1: musicians and music and create it digitally. And that actually
• 3:54
  Speaker 1: has been true for a couple decades now, but even
• 3:58
  Speaker 1: more recently still AI can do all of it without
• 4:01
  Speaker 1: pesky humans at all.
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  Speaker 2: Yeah, get us out of the equation, all right. So, yeah,
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  Speaker 2: this is just a brief history of computer music, and
• 4:09
  Speaker 2: just to get this on the record, we are going
• 4:11
  Speaker 2: to make some predictions about the future of music.
• 4:14
  Speaker 1: Yep, that's what's happening. And it's ultimately like, these are
• 4:17
  Speaker 1: things I actually said several months ago. I didn't think
• 4:19
  Speaker 1: they were going to happen this fast, so I wasn't
• 4:21
  Speaker 1: sure I wanted to say them at all. But these
• 4:23
  Speaker 1: are things I predicted were going to happen, and they're
• 4:25
  Speaker 1: already happening. So I'm gonna get it on the record
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  Speaker 1: so that I can get credit for the predictions I'm making.
• 4:33
  Speaker 2: Yeah, you are prophetic, and now everybody's going to know
• 4:36
  Speaker 2: it exactly.
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  Speaker 1: So let's get into this. I want to start by
• 4:41
  Speaker 1: actually disclaiming, if you will, that some creative artistic things
• 4:45
  Speaker 1: have come from opportunities created by computers or made available
• 4:49
  Speaker 1: by computers to explore new sound manipulations and come up
• 4:54
  Speaker 1: with new ways to make like musical sounds that ended
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  Speaker 1: up in actual music compositions. So this is not intended
• 5:02
  Speaker 1: to be a get off my lawn old man rant
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  Speaker 1: against computers. It is a sort of I guess, reflection
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  Speaker 1: and meditation on what they're offering music right now.
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  Speaker 2: And it is worth recalling the discussion we had about
• 5:17
  Speaker 2: creativity years ago. I wasn't involved, but I edited it. Yeah,
• 5:22
  Speaker 2: and we pointed out that creativity is borne largely by
• 5:25
  Speaker 2: constraint and by proficiency, and that is because an instrument
• 5:29
  Speaker 2: allows for certain notes and tones and only so many
• 5:32
  Speaker 2: sounds that can be played at once. Humans got really
• 5:34
  Speaker 2: creative about how to work within those constraints to create
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  Speaker 2: compositions that blossomed into a vast, vast array of unique,
• 5:42
  Speaker 2: complex and beautiful works of art because we're pretty cool.
• 5:45
  Speaker 1: Hell, we are pretty cool.
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  Speaker 2: Like you take something that's just like a string with
• 5:49
  Speaker 2: a hammer, and you have a whole bunch of those,
• 5:52
  Speaker 2: and out of that you get most music that has
• 5:56
  Speaker 2: ever been made. Yeah, at least in Western music theory,
• 5:59
  Speaker 2: but even that, and if you go to other cultures
• 6:01
  Speaker 2: that use different tones and different scales and whatnot, they
• 6:04
  Speaker 2: still essentially work within that system. Computers remove those constraints
• 6:08
  Speaker 2: and without them. Because creativity is in part born from constraints,
• 6:14
  Speaker 2: not exclusively, but in part, music has arguably gotten less creative,
• 6:20
  Speaker 2: somewhat arguably, kind of not at all, arguably actually, because
• 6:24
  Speaker 2: multiple studies have analyzed the various melodies, song structures, chords,
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  Speaker 2: et cetera. Of popular music and have shown that over
• 6:32
  Speaker 2: the last several decades, the range and variations of songs
• 6:36
  Speaker 2: has decreased substantially, meaning they're becoming more and more similar
• 6:40
  Speaker 2: to one another. And to that point, if you put
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  Speaker 2: the Top the Top billboard one hundred songs side by
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  Speaker 2: side each year, and it's like the number one song,
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  Speaker 2: you will notice they sound a lot of a lot alike.
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  Speaker 2: Matter of fact, some of them, the melodies are starting
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  Speaker 2: to be basically the same melody.
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  Speaker 3: Uh.
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  Speaker 2: Yeah, I've done my fair share of cover songs, you know,
• 7:01
  Speaker 2: And it's always fun to just mash up two songs
• 7:04
  Speaker 2: when you hear them and they're identical, and you just
• 7:07
  Speaker 2: sing them over one and and you're like, yeah, this works,
• 7:09
  Speaker 2: it's the same song. Yeah, much like how all ads
• 7:12
  Speaker 2: sound the same.
• 7:13
  Speaker 3: Ooh, very true.
• 7:22
  Speaker 1: Okay, we are back. We've just been talking about computers
• 7:26
  Speaker 1: and the constraints that was created by instruments and how
• 7:30
  Speaker 1: computers removed that constrained and since then music has gotten
• 7:34
  Speaker 1: increasingly homogeneous.
• 7:37
  Speaker 3: Yep.
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  Speaker 2: But even then, for most of that time, people were
• 7:40
  Speaker 2: becoming experts at their instruments and playing them for popular artists.
• 7:44
  Speaker 1: Yeah, I mean, you still had musicians out there doing
• 7:46
  Speaker 1: their thing. In the nineteen fifties, that's actually when we
• 7:49
  Speaker 1: got our first computer created sounds that started being used
• 7:52
  Speaker 1: in the production of music, and that actually came out
• 7:55
  Speaker 1: of Australia, and then, like a metastasizing cancer, it slowly
• 8:00
  Speaker 1: ruined spread in popularity. Well, cancer doesn't usually spread in popularity,
• 8:04
  Speaker 1: but it does grow and spread and kill everything in
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  Speaker 1: its path. By the late aughts, at the latest, I
• 8:11
  Speaker 1: think you can make the case the eighties were largely
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  Speaker 1: a place when this took place, but at the latest,
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  Speaker 1: by the late odds two thousand and five twenty ten,
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  Speaker 1: pretty much all popular music was largely, if not completely,
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  Speaker 1: computer generated. In the music part of it, the beats,
• 8:27
  Speaker 1: the instrumentation, or the sounds that replicated instrumentation. That's just
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  Speaker 1: loops and synthesized music coming from computers.
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  Speaker 2: Yeah, although again it was largely musicians using the computers
• 8:40
  Speaker 2: to generate their synthetic music, or people who have some
• 8:44
  Speaker 2: musical background. Even if they couldn't actually create music in
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  Speaker 2: any traditional sense of the word, they were involved with
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  Speaker 2: making the computer sounds.
• 8:53
  Speaker 1: Yeah, that became songs in some capacity or another. Yeah,
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  Speaker 1: And then along comes AI. So now finally humans can
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  Speaker 1: be ninety nine point nine nine nine percent erased from
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  Speaker 1: the musical equation. Now you don't even have someone doing
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  Speaker 1: as much effort as dragging pre may loops onto a
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  Speaker 1: track and auto tuning their voice over it. Now all
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  Speaker 1: you have to do is dictate a request to the computer,
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  Speaker 1: and in a few seconds you have any version of
• 9:18
  Speaker 1: any kind of song you want, and it sounds nearly
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  Speaker 1: indistinguishable from music created by humans. For good reason.
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  Speaker 2: Actually, it makes sense if you think about it. Yeah,
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  Speaker 2: there are now dozens on the conservative side or one
• 9:35
  Speaker 2: hundreds realistically, of quote unquote artists that put out music
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  Speaker 2: one hundred percent AI generated. The most popular example is
• 9:43
  Speaker 2: psychedelic AI rock The Velvet Sundown, which has a whopping
• 9:47
  Speaker 2: one point four million listeners per month, and not a
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  Speaker 2: single note of it was made by a human.
• 9:53
  Speaker 1: Have you heard of this thing or any songs by it?
• 9:57
  Speaker 1: You know?
• 9:58
  Speaker 3: No, I have not.
• 10:00
  Speaker 2: Yeah, I haven't either. I didn't want to check it out.
• 10:03
  Speaker 2: I'm curious about AI. You know, I still have so
• 10:05
  Speaker 2: many friends in the music industry and I'm just out
• 10:08
  Speaker 2: of it now. Fair a lot of them are pretty
• 10:11
  Speaker 2: not happy, but they're realistic about it too.
• 10:13
  Speaker 3: Yeah.
• 10:14
  Speaker 1: I heard another podcast. They're interviewing a producer and they
• 10:18
  Speaker 1: said they were surprised at how many other producers and
• 10:20
  Speaker 1: musicians were actually using it fairly regularly as part of
• 10:24
  Speaker 1: what they do.
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  Speaker 3: That doesn't surprise me.
• 10:26
  Speaker 1: And no, it actually didn't surprise me that much either,
• 10:28
  Speaker 1: because I was like, I mean, you guys had given
• 10:30
  Speaker 1: up on instruments, especially before most of your careers started. Yeah,
• 10:35
  Speaker 1: like like music that's popular, Like you guys have not
• 10:38
  Speaker 1: cared about the music part of this for a very
• 10:40
  Speaker 1: long time. And if the companies that produce music can
• 10:44
  Speaker 1: get away with selling music without having to pay anyone
• 10:47
  Speaker 1: for that music, oh my god, are they going to
• 10:49
  Speaker 1: do that thing? Yes, so they are doing that thing.
• 10:52
  Speaker 1: There's another AI thing out there by the name of
• 10:56
  Speaker 1: Dark Country. It has over six hundred thousand monthly use
• 11:00
  Speaker 1: our listeners on Spotify, which is only about five hundred
• 11:03
  Speaker 1: and ninety nine nine hundred and fifty more than US.
• 11:07
  Speaker 1: There's a streaming service apparently out of France called Deezer,
• 11:11
  Speaker 1: and they report I saw two different numbers from different places,
• 11:13
  Speaker 1: so I honestly don't know what the where the final
• 11:16
  Speaker 1: numbers are. These were from different years, though, so I'm
• 11:18
  Speaker 1: thinking it has changed. The first number was eighteen percent
• 11:22
  Speaker 1: and the second number was thirty four percent, which is
• 11:24
  Speaker 1: a huge percent. If over a third of their music
• 11:29
  Speaker 1: that is being uploaded is one hundred percent AI generated
• 11:33
  Speaker 1: over a third of it where it's just fully AI music,
• 11:38
  Speaker 1: and several AI generated songs are now actually starting to
• 11:41
  Speaker 1: chart on the top the Billboard Top one hundred songs,
• 11:43
  Speaker 1: and unfortunately that does include some far right psychopaths writing
• 11:47
  Speaker 1: super racist, fascist, bigoted, bullshit lyrics. And on that note,
• 11:52
  Speaker 1: analysts point out that the places you're most likely to
• 11:56
  Speaker 1: find this music is a country and pop music, and
• 12:00
  Speaker 1: they note that in particular, this is like they're saying
• 12:03
  Speaker 1: this and my agreeing with them, that those genres are
• 12:07
  Speaker 1: particularly prone to this because they are so formulaic and
• 12:11
  Speaker 1: repetitive you wouldn't it's it's not going to be any
• 12:14
  Speaker 1: different to create it from AI that's just following a
• 12:16
  Speaker 1: template than it would be from like someone writing the song,
• 12:20
  Speaker 1: because they're also following that template.
• 12:22
  Speaker 3: Yep.
• 12:23
  Speaker 2: And some people report that this democratization of music provides
• 12:27
  Speaker 2: ways to express themselves for people who can't be bothered
• 12:30
  Speaker 2: to learn how to use an instrument, or even to
• 12:33
  Speaker 2: use the software to simulate the use of an instrument.
• 12:36
  Speaker 1: This is to say, there are some people who argue
• 12:38
  Speaker 1: for the prose for this, and it's worth including their
• 12:40
  Speaker 1: thoughts on that, and that's totally fine. I'm not going
• 12:43
  Speaker 1: to disagree with the fact that that does democratize the
• 12:46
  Speaker 1: ability to create music, to produce something akin to music,
• 12:50
  Speaker 1: for sure, so they're not wrong. Some also point out that,
• 12:53
  Speaker 1: as I mentioned, producers and musicians are using AI as
• 12:56
  Speaker 1: they're calling it a co writer to support with music
• 13:00
  Speaker 1: writing and not necessarily replace it all together. I've heard
• 13:03
  Speaker 1: some suggest that one way they might do this is
• 13:06
  Speaker 1: have the A write a song and they basically take
• 13:08
  Speaker 1: ideas from that song, and then they just sort of
• 13:11
  Speaker 1: run with it themselves. So technically they didn't come up
• 13:14
  Speaker 1: with maybe the melody or maybe the beat, or maybe
• 13:17
  Speaker 1: the structure, not that they would have done the structure
• 13:20
  Speaker 1: part anyway, but they didn't necessarily come up with that,
• 13:22
  Speaker 1: but they would essentially play what the AI created it
• 13:25
  Speaker 1: just do it themselves in a way that they wanted
• 13:27
  Speaker 1: it to sound exactly how they wanted it to sound.
• 13:31
  Speaker 1: So there's that, you know.
• 13:34
  Speaker 2: I like that idea for me as a musician because
• 13:38
  Speaker 2: I sometimes get stuck in creative ruts.
• 13:41
  Speaker 3: Sure, and if I.
• 13:41
  Speaker 2: Had just put in a thing and I'm like, oh,
• 13:43
  Speaker 2: you know what, maybe this song sucks, but it did
• 13:47
  Speaker 2: something that is going to inspire me and motivate me
• 13:51
  Speaker 2: now to take that and turn it into a different song,
• 13:54
  Speaker 2: you know, because sometimes I've done that with like loops,
• 13:57
  Speaker 2: because loops have been around forever, and you'll just have
• 14:00
  Speaker 2: an instrument loop like a drum loop or something that
• 14:02
  Speaker 2: just exists that you know, you can copy and paste
• 14:04
  Speaker 2: and that's your song.
• 14:05
  Speaker 3: Yeah.
• 14:06
  Speaker 2: But you do that and you're like, oh, that gives
• 14:07
  Speaker 2: me an idea and you come up with your own
• 14:09
  Speaker 2: thing from there. So I'm not super against.
• 14:12
  Speaker 3: That in general.
• 14:15
  Speaker 2: Yeah, yeah, fair, Yeah, And of course it is worth
• 14:17
  Speaker 2: pointing out that music created by AI is one hundred
• 14:21
  Speaker 2: derived from already existing songs. So it's simply remixing and
• 14:25
  Speaker 2: retooling work that real artists have created to create some
• 14:29
  Speaker 2: off brand facsimile of what others have already made. Meaning
• 14:33
  Speaker 2: it has virtually no potential for creativity whatsoever and will
• 14:37
  Speaker 2: never exceed the talent that was used to create the
• 14:39
  Speaker 2: source upon which it was derived.
• 14:42
  Speaker 3: Yeah that's a good just a fact. Yeah, that's just
• 14:44
  Speaker 3: a fact. That's just truth.
• 14:45
  Speaker 1: That does just I mean, it just can't. Like it
• 14:50
  Speaker 1: does some weird things that are unpredictable sometimes, but like that,
• 14:53
  Speaker 1: it is only ever going to be based on the
• 14:55
  Speaker 1: things that used to train it, and it's not going
• 14:58
  Speaker 1: to come up with new things because it can't.
• 15:01
  Speaker 3: But at least not yet. Wait for sky Net.
• 15:04
  Speaker 1: Sure, yeah, I guess there is that, all right, So
• 15:08
  Speaker 1: let's get to the prediction part here, because we're running
• 15:10
  Speaker 1: very long for aminy. This is a little late because
• 15:12
  Speaker 1: this is already happening, but it is happening faster than
• 15:15
  Speaker 1: I thought possible. I am essentially predicting the AI music
• 15:18
  Speaker 1: will turn into its own genre, Like I think it
• 15:21
  Speaker 1: will be a thing that people seek out that have
• 15:23
  Speaker 1: it has dedicated followers who are like I listen to
• 15:27
  Speaker 1: AI music. That's what I like, and I think that
• 15:30
  Speaker 1: that is where things are going. That's one of my predictions.
• 15:34
  Speaker 1: I think that music will eventually homogenize. So this is
• 15:39
  Speaker 1: getting more outlandish prediction, but I think this is what's
• 15:41
  Speaker 1: going to happen. It's already been getting less and less unique,
• 15:45
  Speaker 1: like it's all just replacing songs. There was one that
• 15:48
  Speaker 1: somebody I used to know song, like, there's a new
• 15:50
  Speaker 1: song out where they use that exact music and just
• 15:52
  Speaker 1: have new words, and everyone's just like, Okay.
• 15:55
  Speaker 3: This is a song. I love it.
• 15:57
  Speaker 1: Yeah, I'm like, I I didn't know that you could
• 16:01
  Speaker 1: do that, but good to know. Sorry, guys, somebody had
• 16:03
  Speaker 1: to do it at some point. So anyway, I think
• 16:05
  Speaker 1: music will eventually homogenize until there's about six different songs
• 16:09
  Speaker 1: out there kind of templates. Maybe six, maybe less, but
• 16:13
  Speaker 1: I think around six, maybe up to ten. I'm gonna
• 16:16
  Speaker 1: say six to ten, but I think at six about
• 16:18
  Speaker 1: six different melodies and song structures, and that essentially deviating
• 16:22
  Speaker 1: from those what will become standard templates of songs will
• 16:26
  Speaker 1: be considered essentially inappropriate, and that those six ish song
• 16:31
  Speaker 1: types will dominate all music for a little while. But
• 16:34
  Speaker 1: then I think what's going to happen is what will
• 16:36
  Speaker 1: emerge from this will be a sort of rebellious revival
• 16:40
  Speaker 1: of some people wanting to get out of the stale
• 16:43
  Speaker 1: rut that music is in, and we'll actually see a
• 16:46
  Speaker 1: little bit of a return to some sort of punk
• 16:47
  Speaker 1: and alternative music I think, mostly if not entirely acoustic
• 16:51
  Speaker 1: or something to introduce a variety to the staleness of
• 16:55
  Speaker 1: the AI slop, and that new rock will get popular
• 16:58
  Speaker 1: for a brief spell and then and it will eventually
• 17:00
  Speaker 1: be commoditized back into homogeneous slop again. I do think
• 17:05
  Speaker 1: that real musicians will never completely go away. People just
• 17:09
  Speaker 1: find too much love and joy out of creating music
• 17:13
  Speaker 1: for it to ever be completely gone, even if it
• 17:15
  Speaker 1: lives in a very niche hobby space for a while.
• 17:20
  Speaker 1: And I think that the people who are out there
• 17:22
  Speaker 1: getting paid to do music will just be paid a
• 17:24
  Speaker 1: lot less and struggle a lot more. But I do
• 17:28
  Speaker 1: think we might get some great angsty music for the
• 17:31
  Speaker 1: poor souls who are out there suffering through it in
• 17:34
  Speaker 1: the dark. Oh all right, this has gone so long
• 17:37
  Speaker 1: we should probably wrap it up. I'm going to try
• 17:40
  Speaker 1: and include an AI generated song that I made, not
• 17:44
  Speaker 1: trying very hard at all, So forgive the lyrics if
• 17:46
  Speaker 1: they're terrible. I'm going to put that at the end
• 17:48
  Speaker 1: of this if I can, and I'll leave you with
• 17:51
  Speaker 1: As I said, you can support us non financially by
• 17:53
  Speaker 1: leaving us in a rating review like subscribe, tell a friend,
• 17:56
  Speaker 1: join us on Patreon. That's not unpaid, but if you
• 17:58
  Speaker 1: do that you'll get some botus content, AD free content,
• 18:01
  Speaker 1: behind the scenes stuff early episodes, mostly early episodes, and
• 18:05
  Speaker 1: that helps us a lot. We really appreciate it, and
• 18:07
  Speaker 1: on our full lengths, I will say thank you to
• 18:09
  Speaker 1: the people who have helped us do this thing. So
• 18:11
  Speaker 1: I'll leave it to there. If you'd like to tell
• 18:13
  Speaker 1: us your thoughts on AI music, you can email us
• 18:15
  Speaker 1: directly at info at wwdwwdpodcast dot com, or reach out
• 18:20
  Speaker 1: to us on the social media platforms justin Thank you
• 18:22
  Speaker 1: so much for being with me today.
• 18:23
  Speaker 3: Hey, you're welcome. Thanks for having me all.
• 18:26
  Speaker 1: Right, Thank you everyone for listening. This is Abraham.
• 18:29
  Speaker 3: And this is Ai Shane.
• 18:31
  Speaker 1: Why we do what we do? Minia is out.
• 18:33
  Speaker 3: Bye.
• 18:34
  Speaker 4: You've been listening to Why We Do what We Do.
• 18:37
  Speaker 4: You can learn more about this and other episodes by
• 18:40
  Speaker 4: going to wwdwwdpodcast dot com. Thanks for listening, and we
• 18:45
  Speaker 4: hope you have an awesome day.
• 19:04
  Speaker 1: Enjoy. I guess.
• 19:22
  Speaker 5: Music will never change after this, everything we make will
• 19:28
  Speaker 5: be de riverim creativity is gone.
• 19:32
  Speaker 3: Tell him is a waste.
• 19:34
  Speaker 5: Music is now only copy and paste.
• 19:55
  Speaker 6: I hate to down like that one folds, but I've
• 19:59
  Speaker 6: bonssed the new music gets book to my soul. I
• 20:03
  Speaker 6: will miss the people chapter too good and say back
• 20:07
  Speaker 6: to the music.
• 20:08
  Speaker 5: That also, because alone.
• 20:15
  Speaker 6: Not a sea bride, I mean you lie near lea
• 20:22
  Speaker 6: because the thing not to see?
• 20:27
  Speaker 2: You say, is there?
• 20:29
  Speaker 4: He?
• 20:29
  Speaker 7: I cut off? It's head be lion, A bit off
• 20:33
  Speaker 7: flap slap slap me and sick?
• 20:36
  Speaker 1: Is there?
• 20:37
  Speaker 7: I cut off It's head be lion? A bit of
• 20:41
  Speaker 7: slap slap flap.
• 20:43
  Speaker 4: You say, is there?
• 20:45
  Speaker 3: He?
• 20:45
  Speaker 7: I cut up it's he be lion?
• 20:48
  Speaker 6: A bet off swap flap?
• 20:52
  Speaker 5: Think is there?
• 20:53
  Speaker 1: I cut off it's head be.
• 20:56
  Speaker 6: Lion, a bit of slap. The humanity is not wrong
• 21:02
  Speaker 6: human the prebity is not wrong. The eye will it's
• 21:09
  Speaker 6: together and the tragic ships tom so mean, look what
• 21:13
  Speaker 6: rey today