WEBVTT - Will the Next Great Composer Be a PC?

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<v Speaker 1>Brought to you by Toyota. Let's go places. Welcome to

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<v Speaker 1>Forward Thinking. Hey there, and welcome to Forward Thinking, the

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<v Speaker 1>podcast that looks at the future and says I write

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<v Speaker 1>the songs that make the whole world sing. I'm Jonathan Strickland,

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<v Speaker 1>I'm Lauren bo and I'm Joe McCormick. And today we

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<v Speaker 1>wanted to talk about musical composition. We talked about musical

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<v Speaker 1>performance in a previous podcast, but now we're going to

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<v Speaker 1>talk about actually writing music and composing it. And uh,

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<v Speaker 1>you know, of course some of our most famous music

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<v Speaker 1>creators are now decomposers. That's a pun. Lauren's just silently

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<v Speaker 1>shaking her head. So the discussion I thought would be fun,

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<v Speaker 1>you know you Joe came up with a great little

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<v Speaker 1>point of of of research about the earliest known written

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<v Speaker 1>musical notation, right, because of course we've been creating music, um,

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<v Speaker 1>you know, even even singing or um you know, percussion

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<v Speaker 1>on drums or rib cages or etcetera, for for for many, many, many,

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<v Speaker 1>many many. But so yeah, we talked about in our

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<v Speaker 1>last podcast, so we don't even know how old music is, right,

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<v Speaker 1>We imagine we've been making it for you know, tens

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<v Speaker 1>of thousands of years. We know it's at least about

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<v Speaker 1>forty years old because that's how old the oldest bone

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<v Speaker 1>flutes are. But when it comes to written music, I mean,

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<v Speaker 1>obviously anything that's a written account, it's going to take

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<v Speaker 1>a lot for it to be able to survive centuries

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<v Speaker 1>and centuries. Yeah, we when you think about it, this

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<v Speaker 1>is this is kind of strange and creepy. We don't

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<v Speaker 1>know what that music sounded like. Yeah, we have no

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<v Speaker 1>way of knowing. You could just try to guess, but

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<v Speaker 1>you but there's no way to know. Those those vinyl

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<v Speaker 1>albums are no longer on store shelves. Yeah, no, there's

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<v Speaker 1>no there's no there's no way of recording it from

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<v Speaker 1>you know, they didn't have any way of recording it

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<v Speaker 1>back then, apart from writing things down. In the earliest

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<v Speaker 1>version we have of that came from a city called Yogurt.

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<v Speaker 1>It's in Syria. It was actually written on clay tablets

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<v Speaker 1>and the Babylonians No No is the Hurrians um in

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<v Speaker 1>fact that the Hurrians were an ancient people who spoke

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<v Speaker 1>hero Eurytian. It was a language, and they were from

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<v Speaker 1>what is now well what would eventually be northern messa potami,

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<v Speaker 1>let's be fifty twos for you. But no, they were

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<v Speaker 1>from that that area Mesopotamia, but now it's known as Syria,

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<v Speaker 1>or at least that's where the clay tablets were found,

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<v Speaker 1>these specific tablets, and the tablets had two sections to them,

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<v Speaker 1>and the top section were lyrics, they were words that

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<v Speaker 1>was that this was a song, not just a a

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<v Speaker 1>piece of music, but a song, and the lower section

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<v Speaker 1>was musical annotation. It was actually as if it were

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<v Speaker 1>sheet music for us today. Of course, the problem is

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<v Speaker 1>that we don't have any ancient Hurrians sitting around to

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<v Speaker 1>tell us exactly what this musical note annotation meant. So

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<v Speaker 1>it took some interpretation upon the part of scholars, particularly

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<v Speaker 1>Dr Richard drumbrell Um. He'd spent a great deal of

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<v Speaker 1>time trying to figure out exactly what this annotation meant.

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<v Speaker 1>And the surviving tune is called Hurrying Him number six

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<v Speaker 1>and it comes from about four b c E. Wow. Yeah,

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<v Speaker 1>and uh, it's essentially a hymn to the moon God's

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<v Speaker 1>wife Nicole. We should put up a link to this

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<v Speaker 1>because I've heard some of these reproductions and obviously these

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<v Speaker 1>are just interpretation, because again we don't know for sure

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<v Speaker 1>if the Yeah, it's like it's like it has a

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<v Speaker 1>like a series of sort of number symbols. I think

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<v Speaker 1>that that we're just guessing, like, well, we think that

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<v Speaker 1>means this series of notes within a mode or something. Yeah, exactly.

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<v Speaker 1>We it's it's our best guests essentially. I mean, it's

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<v Speaker 1>it's an educated guess, but it's still a guess. Yeah.

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<v Speaker 1>And but but anyway, these interpretation sens of the notation

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<v Speaker 1>are pretty haunting that they sound pretty cool to me. Yeah,

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<v Speaker 1>I've got Well, we'll do a blog post that goes

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<v Speaker 1>along with this one, just as we did with the

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<v Speaker 1>last one, where we'll have some links to to some

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<v Speaker 1>sound samples. Will also include the videos. There's a great

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<v Speaker 1>video of a musician named Michael Levi who was playing

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<v Speaker 1>on a solo liar uh and that his version is

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<v Speaker 1>very haunting and beautiful. And then there was another one

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<v Speaker 1>that we listened to by the musician Malek Gendali who

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<v Speaker 1>is a pianist, but he performed also with the Ludwig

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<v Speaker 1>Symphony Orchestra. And so you have a full orchestral version

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<v Speaker 1>and a solo liar version. And it's interesting to listen

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<v Speaker 1>to these two very different interpretations of the same set

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<v Speaker 1>of music. Yeah, and then there are even much more

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<v Speaker 1>different interpretations than that, sure that I saw. And it

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<v Speaker 1>seems a lot of people have been taking a stab

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<v Speaker 1>at what this sounded like. Terrific. Uh, yeah, it's really cool.

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<v Speaker 1>I want to get in on this game, but I

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<v Speaker 1>just don't know enough about music. Yeah, and same here.

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<v Speaker 1>I I'm pretty sure that if I were to attempt

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<v Speaker 1>the hurry and hymn number six on my ukulele, it

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<v Speaker 1>would not sound anything like the the Hurrians would have imagined. Okay,

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<v Speaker 1>but so that kind of thing we can't uh, we

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<v Speaker 1>don't know exactly what it's supposed to sound like. But

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<v Speaker 1>but eventually we did get some modes of musical notation

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<v Speaker 1>that are comprehensible to us today that we're more standardized

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<v Speaker 1>within their culture, and and that now we pretty much

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<v Speaker 1>know how we're supposed to interpret right. Right, even if

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<v Speaker 1>you are looking at an antiquated piece of music, we

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<v Speaker 1>have enough information about what those those different scales of

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<v Speaker 1>music and different keys, all that kind of information. We

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<v Speaker 1>already know that. So even if it was written in

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<v Speaker 1>a way that's antiquated, we can translate that into a

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<v Speaker 1>more modern version. So that your typical musician would be

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<v Speaker 1>able to yeah and again, you know, like just like

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<v Speaker 1>we said in the musical performance, uh episode, A lot

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<v Speaker 1>of this ends up being down to to musical expression

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<v Speaker 1>as well. So even if something is written one way

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<v Speaker 1>on the page, just as you would expect today, you

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<v Speaker 1>get two different musicians to play the same piece of music,

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<v Speaker 1>you're going to get two different experiences from that. Yeah,

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<v Speaker 1>and so in the sort of the Western classical tradition,

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<v Speaker 1>we have a very like notation based way of thinking

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<v Speaker 1>about music. So you have you have a musical staff,

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<v Speaker 1>you know, and you've written out the notes on it

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<v Speaker 1>in the standard notation, and you know, yeah, and you

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<v Speaker 1>you can read from that, and and that's how you

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<v Speaker 1>deal with music. But I think there are tons of

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<v Speaker 1>musicians these days who really never even deal with standard

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<v Speaker 1>Western classical music notation. Now. They learn their instrument, They

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<v Speaker 1>they learn what their instrument is capable, the sounds that

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<v Speaker 1>the instrument makes. They know, you know, they may either

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<v Speaker 1>have a a true understanding or maybe an intuitive understanding

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<v Speaker 1>of the way that chord progress sians need to go,

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<v Speaker 1>that sort of thing, the things that sound pleasing to

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<v Speaker 1>that particular cultures ear well. Also, we don't need to, um,

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<v Speaker 1>we don't need to write those things down in order

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<v Speaker 1>to reproduce them later, because we can make audio records

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<v Speaker 1>of that music. Exactly. Yeah. I feel like to some extent,

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<v Speaker 1>the audio recording has eroded the place that was once

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<v Speaker 1>held by by written music notation, because when you can

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<v Speaker 1>record a song, it's not so imperative that you write

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<v Speaker 1>it down. People can well, we can always go listen

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<v Speaker 1>to it and then just reverse engineer how it was played.

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<v Speaker 1>Sure yeah. And in fact, there are computer programs that

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<v Speaker 1>can do that that are pretty interesting. Exactly So. I

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<v Speaker 1>think a lot of people who compose music these days

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<v Speaker 1>use something use electronically aided composition. Sure yeah. And I've

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<v Speaker 1>actually got quite a few examples of that. One of

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<v Speaker 1>the earliest ones that ultimately was not successful in the market,

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<v Speaker 1>but I thought was interesting to talk about, came from

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<v Speaker 1>a guy named Sid Meyer. Now, Joe, have you ever

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<v Speaker 1>heard the name said Meyer? Everyone in Civilization has that

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<v Speaker 1>is that is a little bit of a pun because

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<v Speaker 1>Sid Meyer was the original creator and designer for for

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<v Speaker 1>the Civilization series of video games that you guys might

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<v Speaker 1>be familiar with. He also created an awesome game called Pirates. Anyway, yeah.

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<v Speaker 1>So Sid Meier known as a video game designer. He

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<v Speaker 1>had formed a company called micro Pros along with Bill

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<v Speaker 1>Steely or Wild Bill Steele as he's known, and the

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<v Speaker 1>two of them started making and selling video games, and

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<v Speaker 1>h after he experienced some early success, Sidmyer decided he

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<v Speaker 1>wanted to try something new. He didn't want to keep

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<v Speaker 1>making military simulations, which was chiefly what Micropros was known

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<v Speaker 1>for in those early days. He wanted to branch out

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<v Speaker 1>do something different and uh, and he was a big

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<v Speaker 1>fan of music. He um, I believe things in his

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<v Speaker 1>church choir. Yep, yep. So he thought, why don't I

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<v Speaker 1>create some software that allows people to create their own

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<v Speaker 1>compositions in different styles. And that's when he went out

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<v Speaker 1>and made a program called cpu box and actually watched

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<v Speaker 1>a demonstration of this software and it was played on

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<v Speaker 1>the three d O. Do you guys know where the

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<v Speaker 1>three d O is? Yes? It sounds funny, Okay, So

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<v Speaker 1>the three d O was a game console system is

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<v Speaker 1>meant to be like a full entertainment system. It's a

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<v Speaker 1>predecessor to the systems that we see today. Things like

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<v Speaker 1>the Xbox and PlayStation models are really kind of the

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<v Speaker 1>next step of what the three D O was supposed

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<v Speaker 1>to be. But the problem was the three D O

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<v Speaker 1>came out a little too early and way too expensive.

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<v Speaker 1>This this was what was it the late eighties? Did

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<v Speaker 1>the three D O have some of those interactive movies

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<v Speaker 1>on it? Oh? Yeah, No. This was the same time

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<v Speaker 1>that we started seeing full motion video get incorporated into

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<v Speaker 1>video games. And the problem was that everyone was putting

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<v Speaker 1>full motion video into video games without thinking about how

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<v Speaker 1>to actually make it part of the game. So it

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<v Speaker 1>became a real gimmick and you ended up getting these

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<v Speaker 1>terribly acted shots a full motion video that just were

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<v Speaker 1>not you know, it looked like lesslike the kind of

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<v Speaker 1>stuff you would get on your television if you had

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<v Speaker 1>really bad reception. It just was not a very satisfying

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<v Speaker 1>was their full motion video in CPU Box? No? It

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<v Speaker 1>was actually it was actually all graphics from what I

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<v Speaker 1>could tell, or at least the stuff I saw was

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<v Speaker 1>all graphics. So it wasn't. I was kidding, but but

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<v Speaker 1>it could have been. It could have been because it

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<v Speaker 1>was for the three D O. And so the way

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<v Speaker 1>it worked was that you would be able to create

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<v Speaker 1>music in various uh classical mode, so you could do

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<v Speaker 1>a concerto, or you could even do a symphony if

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<v Speaker 1>you wanted to, and you or chamber orchestra piece, and

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<v Speaker 1>you would sit down and you would start to compose

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<v Speaker 1>this stuff through this interface, and then at the end

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<v Speaker 1>of it it would have a full piece of music.

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<v Speaker 1>But it did not sell very well. Very few people

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<v Speaker 1>really picked it up. I don't think the market was

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<v Speaker 1>quite ready for it at the time that it came out,

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<v Speaker 1>so ultimately this was not a success. But there are

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<v Speaker 1>plenty of programs out there that have various UH features

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<v Speaker 1>that are great for musicians, like UM here's an example

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<v Speaker 1>of one. There's one called the Finale Songwriter. Finale Songwriter

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<v Speaker 1>allows you to create musical notations, you know, so you

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<v Speaker 1>can get that cheap music you want if you want

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<v Speaker 1>to have it written down. UH. You could play a

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<v Speaker 1>song on a MIDI device, so any device that is

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<v Speaker 1>MIDI compatible. MIDI is a set of standards for music

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<v Speaker 1>for for computer music. If you were to have, say

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<v Speaker 1>a keyboard that's a MIDI keyboard, and you have it

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<v Speaker 1>plugged into your computer and you play the song exactly

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<v Speaker 1>the way you want it, this program can then translate

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<v Speaker 1>that into musical notations, so you can actually print that

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<v Speaker 1>out and hand that to someone else and say here's

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<v Speaker 1>the song I wrote. Now you can play it too. Um.

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<v Speaker 1>You could also if you wanted to program the song

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<v Speaker 1>note by note as instead of playing something dynamically and

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<v Speaker 1>have it be recorded and transformed, you could very systematically

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<v Speaker 1>go through and say I want this this particular note

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<v Speaker 1>at this pitch, at this tempo and for this length,

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<v Speaker 1>and go. You could build it like you could build

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<v Speaker 1>a computer algorithm. If you wanted to do that, you could.

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<v Speaker 1>You could essentially be data from star Trek. That's interesting

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<v Speaker 1>to me, I mean because with that kind of capability,

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<v Speaker 1>you sort of expand what the uh what the average

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<v Speaker 1>person can do, especially like say, if you're not the

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<v Speaker 1>greatest performer, Like what what if you want to write

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<v Speaker 1>music but you don't have really good rhythm yourself, or

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<v Speaker 1>if you're incapable of hitting a note on a particular

0:12:37.080 --> 0:12:40.400
<v Speaker 1>instrument right or yeah, or you just have some form

0:12:40.440 --> 0:12:43.080
<v Speaker 1>of impairment that would you know, maybe you aren't, maybe

0:12:43.080 --> 0:12:44.960
<v Speaker 1>you don't have the full use of both of your hands,

0:12:45.040 --> 0:12:48.920
<v Speaker 1>but you have a very musically tuned mind. You can

0:12:49.320 --> 0:12:52.040
<v Speaker 1>think of the music you want to play, and if

0:12:52.040 --> 0:12:54.760
<v Speaker 1>you had that capability, you could play it, but perhaps

0:12:54.800 --> 0:12:56.560
<v Speaker 1>you've lost it, or perhaps you never had in the

0:12:56.600 --> 0:12:59.120
<v Speaker 1>first place. This gives you that freedom of creating that

0:12:59.160 --> 0:13:01.920
<v Speaker 1>piece of music. It's kind of like thinking about how

0:13:02.040 --> 0:13:05.120
<v Speaker 1>Beethoven was able to create incredible symphonies even as his

0:13:05.200 --> 0:13:08.000
<v Speaker 1>hearing was going away. It's that you know, you never know,

0:13:08.080 --> 0:13:10.960
<v Speaker 1>there may be the next Beethoven who is incapable of

0:13:10.960 --> 0:13:13.840
<v Speaker 1>playing a musical instrument. But the one other reasons I

0:13:13.840 --> 0:13:16.319
<v Speaker 1>bring up Beethoven is to talk about the third piece

0:13:16.320 --> 0:13:17.880
<v Speaker 1>of software. And keep in mind, like I said, there

0:13:17.880 --> 0:13:20.520
<v Speaker 1>are lots of different examples. I just picked three kind

0:13:20.520 --> 0:13:25.040
<v Speaker 1>of uh. This piece of software is called Ludwig, and

0:13:25.320 --> 0:13:28.960
<v Speaker 1>Ludvig is music software. It's specifically for the Windows platform,

0:13:29.040 --> 0:13:31.959
<v Speaker 1>and again there are different ones for for Max as well,

0:13:32.320 --> 0:13:34.480
<v Speaker 1>but lets you create music. So what you do is

0:13:34.520 --> 0:13:38.520
<v Speaker 1>you you insert a melody into this software, so you

0:13:38.520 --> 0:13:41.280
<v Speaker 1>have to create the melody. But once you insert the melody,

0:13:41.320 --> 0:13:43.559
<v Speaker 1>it starts to fill out the rest of the song

0:13:43.679 --> 0:13:46.280
<v Speaker 1>with chords and other elements to make it a full

0:13:46.320 --> 0:13:49.120
<v Speaker 1>song and not just a melody. And it does this

0:13:49.200 --> 0:13:52.040
<v Speaker 1>by following specific rules for specific genres. So you pick

0:13:52.120 --> 0:13:54.960
<v Speaker 1>the genre you want and then it will fill that

0:13:55.000 --> 0:13:57.400
<v Speaker 1>out and put it to the right tempo for that

0:13:57.520 --> 0:14:02.480
<v Speaker 1>genre with the right sound in the background. Um, it's interesting.

0:14:02.520 --> 0:14:05.240
<v Speaker 1>I would say that it it comes out sounding very

0:14:05.320 --> 0:14:07.720
<v Speaker 1>much like MIDI music. So in other words, it's not

0:14:07.760 --> 0:14:12.120
<v Speaker 1>sounding like a big, rich, you know, diverse set of instruments,

0:14:12.160 --> 0:14:13.920
<v Speaker 1>but something a little bit fancier than what you would

0:14:13.920 --> 0:14:16.760
<v Speaker 1>get on say, electric organ the way that like my

0:14:16.800 --> 0:14:18.640
<v Speaker 1>grandparents had in their house that you could just put

0:14:18.679 --> 0:14:22.280
<v Speaker 1>like Ragtime Beach number two in the background of Yeah,

0:14:22.320 --> 0:14:27.120
<v Speaker 1>so the the you know, it's it's interesting because what

0:14:27.160 --> 0:14:32.120
<v Speaker 1>they'd ended up doing was they pulled in some sheet music. Again. Um,

0:14:32.200 --> 0:14:34.640
<v Speaker 1>in this case, they pulled out any a piece of

0:14:34.720 --> 0:14:37.520
<v Speaker 1>music that was in public domain, find the video I watched,

0:14:38.120 --> 0:14:41.680
<v Speaker 1>and then applied different h musical genres to it. So

0:14:41.720 --> 0:14:44.320
<v Speaker 1>they could play like two different styles of music with

0:14:44.440 --> 0:14:48.040
<v Speaker 1>the same set of notes, the same melody. And that

0:14:48.120 --> 0:14:50.080
<v Speaker 1>was kind of interesting to hear what it how it

0:14:50.120 --> 0:14:54.920
<v Speaker 1>came out. So we're starting to see computer assisted composition here,

0:14:54.960 --> 0:14:58.480
<v Speaker 1>not just assisted in that it's giving you some tools

0:14:58.520 --> 0:15:01.320
<v Speaker 1>to work with, but assisted that it's actually sort of

0:15:01.440 --> 0:15:06.120
<v Speaker 1>helping generated for content. Yeah. So I mean, and this

0:15:06.200 --> 0:15:08.280
<v Speaker 1>kind of thing goes back to I I know that

0:15:08.280 --> 0:15:11.200
<v Speaker 1>one of Ray kurtz Wild's first projects was I mean

0:15:11.240 --> 0:15:13.200
<v Speaker 1>when he was like a teenager. This is probably about

0:15:13.240 --> 0:15:15.520
<v Speaker 1>in N five I believe it was, was a piece

0:15:15.520 --> 0:15:20.520
<v Speaker 1>of software that would analyze classical compositions and um and

0:15:20.560 --> 0:15:24.160
<v Speaker 1>compose its own based on those rules. There's those algorithms

0:15:24.160 --> 0:15:26.160
<v Speaker 1>that are first well, of course well known for his

0:15:26.280 --> 0:15:30.560
<v Speaker 1>work and artificial intelligence voice recognition. Also a well known futurist,

0:15:31.720 --> 0:15:34.840
<v Speaker 1>aspiring cyborg. He's waiting for that singularity to hit us

0:15:34.840 --> 0:15:39.240
<v Speaker 1>any day now y forty years. But yeah, so that's

0:15:39.280 --> 0:15:40.840
<v Speaker 1>one of the things he was known for, was this

0:15:40.880 --> 0:15:44.520
<v Speaker 1>early computer program that could compose its own music. Well,

0:15:44.640 --> 0:15:48.280
<v Speaker 1>that leads me to a really interesting idea, um, and

0:15:48.320 --> 0:15:50.400
<v Speaker 1>it's something I touched on in the script I wrote

0:15:50.400 --> 0:15:57.560
<v Speaker 1>about this episode. Um, but the idea of algorithmic composition. Okay,

0:15:57.600 --> 0:15:59.960
<v Speaker 1>so we already know this is possible, that we can

0:16:00.320 --> 0:16:04.640
<v Speaker 1>get computers to write viable music themselves. And actually we

0:16:04.720 --> 0:16:07.600
<v Speaker 1>already talked about in another podcast the idea of say

0:16:07.680 --> 0:16:12.320
<v Speaker 1>Ai storytelling. But that's actually a lot more difficult, right

0:16:12.360 --> 0:16:15.320
<v Speaker 1>because the rules of human language are are such that

0:16:15.360 --> 0:16:20.400
<v Speaker 1>they're really really complicated and kind of squeege you need

0:16:20.560 --> 0:16:24.000
<v Speaker 1>millions of rules in order to create a coherent story

0:16:24.040 --> 0:16:26.600
<v Speaker 1>out of nothing, unless you were just using like some

0:16:26.640 --> 0:16:32.040
<v Speaker 1>pre built skeleton or whatever um mad libs. But to

0:16:32.240 --> 0:16:35.080
<v Speaker 1>create a piece of music, that's actually a lot easier

0:16:35.080 --> 0:16:41.000
<v Speaker 1>because music already is it's very susceptible to data. It's

0:16:41.040 --> 0:16:43.400
<v Speaker 1>it's pretty mathematical when you break it down to its

0:16:43.400 --> 0:16:48.400
<v Speaker 1>bare bones. Yeah, and it's easier to tell a computer

0:16:48.520 --> 0:16:51.320
<v Speaker 1>what the rules of music are than say, what the

0:16:51.400 --> 0:16:55.840
<v Speaker 1>rules of storytelling and language are. And so I can

0:16:56.080 --> 0:16:58.920
<v Speaker 1>very much see, even more so than the AI storyteller.

0:16:59.120 --> 0:17:04.200
<v Speaker 1>We discussed the possibility of an AI musical composer. Okay,

0:17:04.240 --> 0:17:08.920
<v Speaker 1>So imagine you've got a music service like Pandora. Okay, okay,

0:17:08.960 --> 0:17:12.240
<v Speaker 1>and Pandora what does it do to give you the

0:17:12.320 --> 0:17:15.200
<v Speaker 1>songs that you want to hear? It follows the music

0:17:15.280 --> 0:17:18.359
<v Speaker 1>genome projects, So in other words, you tell Pandora what

0:17:18.560 --> 0:17:20.720
<v Speaker 1>kind of song or what kind of band you are

0:17:20.760 --> 0:17:24.159
<v Speaker 1>interested in. It starts to look for other bands or

0:17:24.160 --> 0:17:27.639
<v Speaker 1>other songs that share those same sort of qualities, and

0:17:27.640 --> 0:17:29.400
<v Speaker 1>then it serves those up to you. Yeah, what does

0:17:29.440 --> 0:17:31.840
<v Speaker 1>it do? So you tell it, say, you know, I

0:17:31.920 --> 0:17:36.000
<v Speaker 1>really like a song by Meat Loaf? Alright, So Paradise

0:17:36.040 --> 0:17:38.400
<v Speaker 1>by the Dashboard Life? Yeah, I really that's the song

0:17:38.480 --> 0:17:40.399
<v Speaker 1>I give it? So does how does it know what

0:17:40.480 --> 0:17:42.640
<v Speaker 1>I like? Well? Does it just give me other songs

0:17:42.720 --> 0:17:46.239
<v Speaker 1>by meat Loaf? No? No, let's say, does it just

0:17:46.280 --> 0:17:48.880
<v Speaker 1>give me other songs that are filed under the same

0:17:49.040 --> 0:17:52.919
<v Speaker 1>genre category as meat Loaf? No? No? Well what does

0:17:52.960 --> 0:17:54.879
<v Speaker 1>it just give me songs that are on the same

0:17:55.000 --> 0:17:57.679
<v Speaker 1>label that that album was on? No? Joe, would you

0:17:57.680 --> 0:17:59.320
<v Speaker 1>like me to tell you what it gives you? Yeah?

0:17:59.400 --> 0:18:02.640
<v Speaker 1>How does it figure out what songs go with Paradise

0:18:02.680 --> 0:18:04.399
<v Speaker 1>by the Dashboard? Like? It's really cool because what they

0:18:04.440 --> 0:18:06.760
<v Speaker 1>do is they they have people listening to songs and

0:18:06.800 --> 0:18:10.000
<v Speaker 1>they start to classify all the different elements that go

0:18:10.080 --> 0:18:12.480
<v Speaker 1>into making that song. So it's kind of the meta

0:18:12.600 --> 0:18:16.119
<v Speaker 1>data for an individual song. So in the musical feature,

0:18:16.560 --> 0:18:20.000
<v Speaker 1>the musical features everything from is it a single vocalist?

0:18:20.160 --> 0:18:22.159
<v Speaker 1>Is it a duet? In case of Paradise by the

0:18:22.200 --> 0:18:26.120
<v Speaker 1>Dashboard Light? Yes it is? Uh? Is it um you know?

0:18:26.400 --> 0:18:29.520
<v Speaker 1>Is it a ballad? Is it rock and roll? It

0:18:29.560 --> 0:18:32.560
<v Speaker 1>doesn't have a lot of electric guitar? And it does.

0:18:33.560 --> 0:18:36.239
<v Speaker 1>There's there there are all these different elements that go

0:18:36.320 --> 0:18:39.400
<v Speaker 1>into it, and so a single song may have forty

0:18:39.520 --> 0:18:43.520
<v Speaker 1>or fifty or more different specific features that have been

0:18:43.600 --> 0:18:47.600
<v Speaker 1>singled out, and so then it starts to look for

0:18:47.680 --> 0:18:51.320
<v Speaker 1>other songs that contain a certain number of those tags,

0:18:51.440 --> 0:18:53.640
<v Speaker 1>and then it serves that song up to you. Then

0:18:53.680 --> 0:18:56.280
<v Speaker 1>you have the option of either hitting the thumbs up,

0:18:56.320 --> 0:18:58.280
<v Speaker 1>I love this song and make sure you play this

0:18:58.320 --> 0:19:00.919
<v Speaker 1>kind of stuff more frequently, or thumbs down, this is

0:19:00.920 --> 0:19:03.560
<v Speaker 1>not what I'm looking for. And as you give input

0:19:03.640 --> 0:19:06.359
<v Speaker 1>back into the program, it starts to refine that algorithm.

0:19:06.359 --> 0:19:09.280
<v Speaker 1>Maybe it starts to think that, Okay, this guy really

0:19:09.320 --> 0:19:12.840
<v Speaker 1>likes cheesy songs, but every single solo artist I've ever

0:19:12.920 --> 0:19:15.560
<v Speaker 1>given him he has thumbs down. So we are not

0:19:15.600 --> 0:19:17.280
<v Speaker 1>going to do any more solo from now on. It's

0:19:17.280 --> 0:19:20.239
<v Speaker 1>all going to be duets or bands or whatever. And

0:19:20.280 --> 0:19:24.280
<v Speaker 1>then it'll start to refine your channel over time. Okay,

0:19:24.359 --> 0:19:27.560
<v Speaker 1>so imagine a program like this. It starts to get

0:19:27.600 --> 0:19:31.560
<v Speaker 1>a really specific musical taste profile on you. It tells

0:19:31.720 --> 0:19:33.960
<v Speaker 1>you know, it figures out, and let's imagine that it's

0:19:33.960 --> 0:19:37.480
<v Speaker 1>even more advanced than pandoras today. Like it, it gets

0:19:37.480 --> 0:19:41.320
<v Speaker 1>a really specific profile you, like these fifty features in

0:19:41.320 --> 0:19:44.879
<v Speaker 1>in songs UM. Right, Now, what it has to do

0:19:44.960 --> 0:19:47.520
<v Speaker 1>is try to go through its whole library and match

0:19:47.720 --> 0:19:50.399
<v Speaker 1>songs that have as many of the features you like

0:19:50.560 --> 0:19:53.879
<v Speaker 1>and as few of the features you dislike as possible. Sure,

0:19:54.560 --> 0:19:59.840
<v Speaker 1>but using um algorithmic composition, we could imagine that it

0:20:00.000 --> 0:20:04.119
<v Speaker 1>and technically create songs that have exactly what you want.

0:20:04.320 --> 0:20:07.160
<v Speaker 1>So let's just kind of creepy. So if you if

0:20:07.200 --> 0:20:10.480
<v Speaker 1>you really love Paradise by the Dashboard Light and you

0:20:10.520 --> 0:20:12.880
<v Speaker 1>love all the things that go into making that song

0:20:12.960 --> 0:20:14.600
<v Speaker 1>what it is, but you can't just listen to the

0:20:14.640 --> 0:20:19.400
<v Speaker 1>one song you three times and that takes up half

0:20:19.400 --> 0:20:22.040
<v Speaker 1>a day. The song is long, it's like a twelve

0:20:22.080 --> 0:20:26.080
<v Speaker 1>minute long song. But yeah, no, yeah, it could. In theory,

0:20:26.440 --> 0:20:28.480
<v Speaker 1>let's say it's following those rules, it could start to

0:20:28.520 --> 0:20:33.159
<v Speaker 1>produce other songs that match the same sort of criteria dynamically.

0:20:33.240 --> 0:20:35.840
<v Speaker 1>So this is you're literally hearing this song for the

0:20:35.840 --> 0:20:38.360
<v Speaker 1>first time. In fact, you're the first person to hear

0:20:38.359 --> 0:20:40.320
<v Speaker 1>this song for the first time, and maybe no one

0:20:40.400 --> 0:20:43.400
<v Speaker 1>ever hears that song again because it's making it specifically

0:20:43.440 --> 0:20:46.280
<v Speaker 1>to match what you want to hear at that moment. Now,

0:20:46.440 --> 0:20:51.359
<v Speaker 1>we already have algorithmic composition, and we already have UM

0:20:51.400 --> 0:20:54.880
<v Speaker 1>things like Pandora that can create a really intense taste

0:20:54.880 --> 0:20:58.760
<v Speaker 1>profile for the listener. So why don't we already have this? Well,

0:20:58.840 --> 0:21:01.760
<v Speaker 1>I'd say one thing that standing in the way is

0:21:01.840 --> 0:21:05.720
<v Speaker 1>that UM algorithmic composition, while it's really good, probably isn't

0:21:05.920 --> 0:21:09.119
<v Speaker 1>quite there yet in terms of its precision. And also,

0:21:09.520 --> 0:21:12.679
<v Speaker 1>I'd say the biggest impediment right now is just the

0:21:12.680 --> 0:21:16.200
<v Speaker 1>fact that the computer generated sounds aren't as pleasing to

0:21:16.320 --> 0:21:20.719
<v Speaker 1>people as like actually recorded instruments and voices are in

0:21:20.760 --> 0:21:25.399
<v Speaker 1>most cases. Would would you agree? Yeah, No, I completely agree.

0:21:25.600 --> 0:21:29.359
<v Speaker 1>Though I wonder if as time goes on and we

0:21:29.440 --> 0:21:34.399
<v Speaker 1>get better and better at creating synthesized UM, you know,

0:21:34.480 --> 0:21:39.639
<v Speaker 1>instrument sounds that are almost indistinguishable from real recorded instrument sounds,

0:21:39.680 --> 0:21:42.760
<v Speaker 1>if this will become more and more of a possibility. Sure.

0:21:43.000 --> 0:21:45.080
<v Speaker 1>This discussion always reminds me of that one episode of

0:21:45.119 --> 0:21:49.160
<v Speaker 1>Next Generation where where Data was playing a violent concert

0:21:49.520 --> 0:21:51.840
<v Speaker 1>and UM, and that one doctor who wasn't Crusher, who

0:21:51.880 --> 0:21:53.959
<v Speaker 1>was really mean to him all the time, really got

0:21:54.040 --> 0:21:55.480
<v Speaker 1>on his case about it. She was like, yeah, you

0:21:55.480 --> 0:21:58.560
<v Speaker 1>were technically perfect, but there was no emotion in the music.

0:21:58.600 --> 0:22:00.520
<v Speaker 1>And whether or not whether or not a motion, whether

0:22:00.600 --> 0:22:03.880
<v Speaker 1>or not flaws in the playing of music are are

0:22:04.160 --> 0:22:07.119
<v Speaker 1>somehow critical to the human experience of that kind of sound.

0:22:07.480 --> 0:22:09.600
<v Speaker 1>To be fair, that the woman only knew one emotion

0:22:09.640 --> 0:22:15.000
<v Speaker 1>that was irritated. Um, I sympathize with that point of view.

0:22:15.040 --> 0:22:17.760
<v Speaker 1>While on the one hand, I'm excited about the possibility

0:22:17.840 --> 0:22:20.840
<v Speaker 1>for this kind of technology, on the other hand, I think, like, well,

0:22:22.080 --> 0:22:26.400
<v Speaker 1>so many of my favorite songs, what's my favorite thing

0:22:26.400 --> 0:22:30.240
<v Speaker 1>about them is I don't know something imperceptible about the

0:22:30.280 --> 0:22:34.240
<v Speaker 1>sort of emotional presentation that the performer brings to the song,

0:22:35.280 --> 0:22:38.320
<v Speaker 1>and not just like the sequence of notes in in

0:22:38.400 --> 0:22:41.040
<v Speaker 1>its relative harmonies. Although at the same time, you could

0:22:41.080 --> 0:22:44.320
<v Speaker 1>argue that if a musician is creating an algorithm that's

0:22:44.359 --> 0:22:46.760
<v Speaker 1>creating a song, it's just a form of an instrument

0:22:47.240 --> 0:22:50.080
<v Speaker 1>could be. But then again, I think about so I'll

0:22:50.080 --> 0:22:52.800
<v Speaker 1>just make it more concrete. One of my favorite musicians

0:22:52.880 --> 0:22:57.399
<v Speaker 1>is Neil Young. Um. I love Neil Young, but he's

0:22:57.440 --> 0:23:01.000
<v Speaker 1>he's got this sloppiness about how he plays, about how

0:23:01.040 --> 0:23:05.280
<v Speaker 1>he plays his guitar. There's nothing precise about it. It's

0:23:05.440 --> 0:23:09.320
<v Speaker 1>it's very half drunk kind of sound. I was about

0:23:09.320 --> 0:23:12.160
<v Speaker 1>to say, similarly, like if you're a big Tom Waits fan.

0:23:12.240 --> 0:23:13.800
<v Speaker 1>I don't think you're ever going to get a song

0:23:13.880 --> 0:23:17.640
<v Speaker 1>like the algorithm has been drinking. I kind of hope

0:23:17.640 --> 0:23:21.879
<v Speaker 1>not um And it's it's hard for me to imagine that,

0:23:22.240 --> 0:23:26.639
<v Speaker 1>uh A an algorithm could reproduce that, because it seems

0:23:26.760 --> 0:23:30.720
<v Speaker 1>so essentially human. But then again, you know, I I

0:23:30.760 --> 0:23:34.200
<v Speaker 1>don't wanna. I don't want to overestimate my powers of detection.

0:23:34.320 --> 0:23:36.879
<v Speaker 1>Who knows. I mean, somebody maybe could create something that

0:23:36.920 --> 0:23:39.280
<v Speaker 1>I just wouldn't be able to tell the different maybe

0:23:39.320 --> 0:23:41.520
<v Speaker 1>in twenty to forty years. And of course, depending upon

0:23:41.560 --> 0:23:44.640
<v Speaker 1>your opinion of certain pop song artists, you might think

0:23:44.720 --> 0:23:47.320
<v Speaker 1>that if you had a computer create that's exactly what

0:23:47.359 --> 0:23:50.520
<v Speaker 1>would sound like. Oh well yeah, in some cases with

0:23:50.640 --> 0:23:53.800
<v Speaker 1>some types of music, uh and not even to deride it,

0:23:53.840 --> 0:23:57.080
<v Speaker 1>I'd just say, like, nothing at all against electronic music.

0:23:57.080 --> 0:23:59.520
<v Speaker 1>But let's say electronic music, I think is a much

0:23:59.720 --> 0:24:02.880
<v Speaker 1>is much more susceptible to something like this, the kind

0:24:02.880 --> 0:24:06.119
<v Speaker 1>of not being played by by three dimensional instruments to

0:24:06.160 --> 0:24:08.680
<v Speaker 1>begin with, so or it might not be in, or

0:24:08.680 --> 0:24:10.880
<v Speaker 1>it might not be right, or it might be I mean,

0:24:11.000 --> 0:24:13.080
<v Speaker 1>there's a lot of great electronic music that's not even

0:24:13.160 --> 0:24:16.800
<v Speaker 1>performed in real time. It's just programmed music. It's programmed

0:24:16.800 --> 0:24:20.439
<v Speaker 1>by a human composer. Yeah. Yeah, And that again, it

0:24:20.520 --> 0:24:23.159
<v Speaker 1>doesn't mean that that's you know, any less valuable or

0:24:23.359 --> 0:24:26.000
<v Speaker 1>or or you know, quality wise, that it's any different

0:24:26.000 --> 0:24:29.479
<v Speaker 1>from any other music. Obviously, the music, uh evokes some

0:24:29.600 --> 0:24:32.840
<v Speaker 1>response from you. There's something about it that is meaningful

0:24:32.880 --> 0:24:35.880
<v Speaker 1>to you. So we don't mean to say that electronic

0:24:36.280 --> 0:24:40.040
<v Speaker 1>is somehow absolutely not now if you're very very no.

0:24:40.320 --> 0:24:43.120
<v Speaker 1>And in the end, I think the hardest turtle. So

0:24:43.760 --> 0:24:46.440
<v Speaker 1>we've mentioned all these things that the instruments, the hardest

0:24:46.440 --> 0:24:50.480
<v Speaker 1>one is going to be vocals. Vocal music is most

0:24:50.560 --> 0:24:56.000
<v Speaker 1>of the most popular music I think involved vocalization human voice. Uh.

0:24:56.160 --> 0:24:58.280
<v Speaker 1>I don't even know how we're going to begin to

0:24:59.040 --> 0:25:01.239
<v Speaker 1>have the idea of re producing that. So mostly what

0:25:01.280 --> 0:25:04.880
<v Speaker 1>I'm thinking about with this AI composition is instrumental music.

0:25:05.600 --> 0:25:09.320
<v Speaker 1>So I could actually easily imagine, you know, in a

0:25:09.640 --> 0:25:13.720
<v Speaker 1>maybe a decade's worth of time, that will have uh

0:25:13.880 --> 0:25:18.880
<v Speaker 1>a like a movie score that was completely composed by computer.

0:25:19.320 --> 0:25:22.200
<v Speaker 1>I can actually imagine that, particularly if you are able

0:25:22.240 --> 0:25:27.439
<v Speaker 1>to feed into the computer's algorithm the time stamps of

0:25:27.560 --> 0:25:30.200
<v Speaker 1>your movie, so you know that this moment, I need

0:25:30.359 --> 0:25:32.240
<v Speaker 1>to have a sense of urgency and this moment I

0:25:32.280 --> 0:25:34.879
<v Speaker 1>need to build tension. This needs to be a release moment.

0:25:34.960 --> 0:25:37.000
<v Speaker 1>That kind of thing. I can actually see that happening

0:25:37.000 --> 0:25:39.040
<v Speaker 1>at one point, kind of the opposite of having a

0:25:39.440 --> 0:25:43.320
<v Speaker 1>having a visualization of music and autogenerated visualization. Actually, one

0:25:43.359 --> 0:25:46.080
<v Speaker 1>way I can really see this being a big deal

0:25:46.240 --> 0:25:50.560
<v Speaker 1>is in uh scoring video games. In video games, you

0:25:50.640 --> 0:25:54.240
<v Speaker 1>want your music to respond dynamically to what's happening in

0:25:54.240 --> 0:25:57.159
<v Speaker 1>the game, But there you don't have direct control like

0:25:57.200 --> 0:25:59.879
<v Speaker 1>you do when you're scoring a movie over the exact timing.

0:26:00.280 --> 0:26:05.840
<v Speaker 1>So you could have have this AI composition responding to

0:26:05.880 --> 0:26:09.160
<v Speaker 1>the player in real time. That would be wonderful. That's

0:26:09.160 --> 0:26:10.439
<v Speaker 1>one of the things that can really take me out

0:26:10.480 --> 0:26:12.240
<v Speaker 1>of a video game. Actually, when the when the music

0:26:12.359 --> 0:26:15.600
<v Speaker 1>is either too repetitive or or isn't or is lags

0:26:15.640 --> 0:26:17.920
<v Speaker 1>behind following me in what I'm doing. I can tell

0:26:17.960 --> 0:26:20.520
<v Speaker 1>you that if the music didn't change when I was

0:26:20.560 --> 0:26:22.640
<v Speaker 1>being chased by a ghost to the point where I'm

0:26:22.680 --> 0:26:24.639
<v Speaker 1>chasing the ghost after I've eaten the power pellet, I

0:26:24.680 --> 0:26:29.200
<v Speaker 1>would never play Batman. Well, you know you're you're talking

0:26:29.240 --> 0:26:34.240
<v Speaker 1>about about the incorporation of data there, Yeah, that kind

0:26:34.240 --> 0:26:37.160
<v Speaker 1>of thing. It would be data, the data about what's

0:26:37.200 --> 0:26:40.240
<v Speaker 1>going on in the game would be informing the algorithm

0:26:40.280 --> 0:26:42.480
<v Speaker 1>that tells what the music should sound like at any

0:26:42.480 --> 0:26:44.760
<v Speaker 1>given moment. But yeah, there are all kinds of other

0:26:44.800 --> 0:26:47.199
<v Speaker 1>ways you can use data to create music, right. The

0:26:48.040 --> 0:26:52.600
<v Speaker 1>soonification or oddification of data is a big topic these

0:26:52.680 --> 0:26:56.920
<v Speaker 1>days in music composition. UM there's a few people who

0:26:56.920 --> 0:26:58.639
<v Speaker 1>are who are working more than a few people who

0:26:58.640 --> 0:27:00.760
<v Speaker 1>are working in this. One of the more interesting stories

0:27:00.800 --> 0:27:03.440
<v Speaker 1>I think is a gentleman by the name of Robert Alexander.

0:27:03.560 --> 0:27:06.040
<v Speaker 1>He's a currently a NASA fellow, started off as a

0:27:06.119 --> 0:27:10.280
<v Speaker 1>University of Michigan student who is working with um ROS

0:27:10.280 --> 0:27:14.000
<v Speaker 1>satellite data from the Solar and Heliospheric Observatory, which is

0:27:14.040 --> 0:27:16.720
<v Speaker 1>one of those NASA E s A satellites that that

0:27:16.800 --> 0:27:19.800
<v Speaker 1>has been recording data from the Sun for the past

0:27:19.960 --> 0:27:23.480
<v Speaker 1>thirteen years. Um back in two thousand nine, he created

0:27:24.000 --> 0:27:27.000
<v Speaker 1>a story of a musical journey from the Earth to

0:27:27.040 --> 0:27:29.680
<v Speaker 1>the Sun based on a year of data of from

0:27:29.760 --> 0:27:33.359
<v Speaker 1>two thousand three and did things like added drums to

0:27:33.400 --> 0:27:36.280
<v Speaker 1>represent the passage of time. Because he was compressing all

0:27:36.320 --> 0:27:39.560
<v Speaker 1>of these data points down into something like forty four thousand,

0:27:39.640 --> 0:27:43.400
<v Speaker 1>one hundred data points per second, which happens to be

0:27:43.800 --> 0:27:50.240
<v Speaker 1>about the hurts of ceed equality audio sound UM, which

0:27:50.280 --> 0:27:53.960
<v Speaker 1>which happens to equal out to UM every eight measures

0:27:54.000 --> 0:27:57.560
<v Speaker 1>being a single solar day and UM really interesting. I

0:27:57.640 --> 0:28:01.040
<v Speaker 1>also just a trivia note. So Robert Alexander, you said,

0:28:01.119 --> 0:28:03.960
<v Speaker 1>was went to the University of Michigan. Uh, that's also

0:28:03.960 --> 0:28:08.199
<v Speaker 1>where sid Meyer went. Really apparently the computer musician types

0:28:08.320 --> 0:28:12.520
<v Speaker 1>all like to gather over at the University of Michigan. UM.

0:28:12.560 --> 0:28:15.080
<v Speaker 1>But you know, he started. The really interesting part about

0:28:15.080 --> 0:28:17.120
<v Speaker 1>this is that he was looking at lots of data,

0:28:17.520 --> 0:28:20.320
<v Speaker 1>like many different streams of data from these spector scopes

0:28:20.320 --> 0:28:24.600
<v Speaker 1>and satellites and U. One one element that he started

0:28:24.640 --> 0:28:27.480
<v Speaker 1>noticing a pattern from was carbon. And the people at

0:28:27.520 --> 0:28:29.320
<v Speaker 1>NASCA that he had been talking to about this data

0:28:29.359 --> 0:28:32.960
<v Speaker 1>had never really mentioned carbon before. And through his creation

0:28:33.000 --> 0:28:35.520
<v Speaker 1>of this music and through his analyzing it as a

0:28:35.680 --> 0:28:41.080
<v Speaker 1>sound pattern, realized that UM that you could use soonified

0:28:41.160 --> 0:28:45.840
<v Speaker 1>data to analyze solar wind and flares and and so new.

0:28:45.880 --> 0:28:48.000
<v Speaker 1>I mean this this changed the way that we study

0:28:48.080 --> 0:28:51.800
<v Speaker 1>the sun. His music has changed that. And that's that's

0:28:51.800 --> 0:28:53.920
<v Speaker 1>really you know, And there's and there's there's a whole

0:28:53.960 --> 0:28:55.640
<v Speaker 1>bunch of people who are working and stuff like that.

0:28:56.040 --> 0:28:59.880
<v Speaker 1>The astrophysicist Luciana Walkowitz has taken data from the Kepler

0:29:00.600 --> 0:29:03.360
<v Speaker 1>which which searches for planets and other solar systems. The

0:29:03.400 --> 0:29:07.320
<v Speaker 1>exoplanet search right right, and you know uses the light

0:29:07.360 --> 0:29:11.200
<v Speaker 1>frequency of stars, which changes as stars and objects move around.

0:29:11.800 --> 0:29:15.680
<v Speaker 1>Um mixes in things like Buddhist chants and uh creates

0:29:15.680 --> 0:29:19.160
<v Speaker 1>some some really haunting things. The folks at the Large

0:29:19.160 --> 0:29:22.880
<v Speaker 1>Hattern Collider have started up a soonification department and so

0:29:22.960 --> 0:29:26.480
<v Speaker 1>you can listen to musical compositions based on the sweep

0:29:26.520 --> 0:29:29.440
<v Speaker 1>of the Atlas detector. I heard something like this. Maybe

0:29:29.440 --> 0:29:31.160
<v Speaker 1>it might not have been from that, but where did

0:29:31.160 --> 0:29:33.800
<v Speaker 1>I hear it? The somebody created Essentially it was the

0:29:33.880 --> 0:29:37.400
<v Speaker 1>sound of the Big Bang. Yeah, yeah, because because because

0:29:37.440 --> 0:29:40.800
<v Speaker 1>you can I you know, because it starts with our

0:29:40.840 --> 0:29:47.280
<v Speaker 1>whole universe was in a hot, dense state. You know,

0:29:47.680 --> 0:29:51.440
<v Speaker 1>you can you can track the the motion of sub

0:29:51.480 --> 0:29:54.560
<v Speaker 1>atomic particles and and turn that I mean basically anything

0:29:54.560 --> 0:29:57.320
<v Speaker 1>in the electromagnetic spectrum. Most of it's out of our

0:29:57.360 --> 0:29:59.920
<v Speaker 1>audible spectrum, but you can kind of scale and trans

0:30:00.080 --> 0:30:02.840
<v Speaker 1>for things down into something that you can hear and

0:30:02.840 --> 0:30:05.880
<v Speaker 1>and all of these sounds of the universe, um, right

0:30:05.960 --> 0:30:08.520
<v Speaker 1>down to one of my favorite examples, which is, um,

0:30:08.560 --> 0:30:13.440
<v Speaker 1>you know, the magnetosphere around the Earth creates non audible

0:30:13.520 --> 0:30:16.520
<v Speaker 1>sound continuously. It's kind of a very chirping sort of

0:30:16.520 --> 0:30:20.200
<v Speaker 1>noise and um and it. I wouldn't necessarily call it music,

0:30:20.240 --> 0:30:22.960
<v Speaker 1>but I wouldn't necessarily call Japanese noise music either, So

0:30:23.120 --> 0:30:25.240
<v Speaker 1>I you know, it's it's really interesting to listen to

0:30:25.440 --> 0:30:28.479
<v Speaker 1>kind of cool. Yeah, and you mentioned in the script

0:30:28.520 --> 0:30:31.120
<v Speaker 1>Joe for the for the video show the the guy

0:30:31.160 --> 0:30:35.960
<v Speaker 1>who used points of GPS data to turn into that. Yeah,

0:30:36.080 --> 0:30:38.440
<v Speaker 1>that's uh so that's a little closer to home, I

0:30:38.480 --> 0:30:41.400
<v Speaker 1>guess than these amazing sort of atmosphere where you are

0:30:41.480 --> 0:30:44.800
<v Speaker 1>when you get the GPS right. Uh so, yeah, you

0:30:44.840 --> 0:30:48.560
<v Speaker 1>can turn like these big worldwide kind of data points

0:30:48.640 --> 0:30:51.920
<v Speaker 1>from the natural world into music. But we can also

0:30:51.960 --> 0:30:54.760
<v Speaker 1>and so that gives us a new perspective on you know,

0:30:54.960 --> 0:30:57.080
<v Speaker 1>what's out there. Yeah, yeah, we can also get a

0:30:57.080 --> 0:31:00.000
<v Speaker 1>new perspective on ourselves because yea, what this guy did,

0:31:00.080 --> 0:31:02.960
<v Speaker 1>he was the artist Brian House. Um so he made

0:31:03.000 --> 0:31:08.120
<v Speaker 1>house music. He uh, he made this really cool song.

0:31:09.040 --> 0:31:11.360
<v Speaker 1>There's a great article about it. We will link up

0:31:11.400 --> 0:31:14.800
<v Speaker 1>when we put the blog post, uh, and we'll put

0:31:14.840 --> 0:31:16.720
<v Speaker 1>a link to the song up to because you should

0:31:16.760 --> 0:31:20.480
<v Speaker 1>hear it. He turned a year's worth of location tracking

0:31:20.560 --> 0:31:25.360
<v Speaker 1>data on himself into music, and so it worked. The

0:31:25.360 --> 0:31:29.520
<v Speaker 1>way most data or all data generated music works is

0:31:29.560 --> 0:31:32.840
<v Speaker 1>that you have a data set and each different value

0:31:32.920 --> 0:31:37.160
<v Speaker 1>represents ay a different rhythm or a different pitch um.

0:31:37.720 --> 0:31:41.600
<v Speaker 1>And so he the way this music worked was everywhere

0:31:41.640 --> 0:31:44.680
<v Speaker 1>he went, it would track his location and that would

0:31:44.720 --> 0:31:48.640
<v Speaker 1>represent a different pitch along the musical scale, and and

0:31:48.640 --> 0:31:51.800
<v Speaker 1>and played at at high speed, you can hear yourself

0:31:51.880 --> 0:31:55.920
<v Speaker 1>traveling throughout the day and these very predictable patterns. But

0:31:56.120 --> 0:31:58.440
<v Speaker 1>then say, like when you go on vacation, there's this

0:31:58.600 --> 0:32:02.880
<v Speaker 1>strange sort of like bridge that goes into a different

0:32:02.920 --> 0:32:07.800
<v Speaker 1>sonic territory and the song it creates is really hypnotic.

0:32:08.640 --> 0:32:10.520
<v Speaker 1>It's cool to listen to. You should check it out.

0:32:10.960 --> 0:32:14.160
<v Speaker 1>And it it's cool not just because of how it sounds,

0:32:14.520 --> 0:32:17.400
<v Speaker 1>but because of how it gives you a new way

0:32:17.440 --> 0:32:20.920
<v Speaker 1>of thinking about what you do with your life. Sure,

0:32:20.960 --> 0:32:24.000
<v Speaker 1>and you know, all all of us, lets us look

0:32:24.240 --> 0:32:27.320
<v Speaker 1>at at things from a slightly different angle and notice patterns.

0:32:27.360 --> 0:32:29.440
<v Speaker 1>I mean, the human ear and the human brain interpret

0:32:29.560 --> 0:32:32.760
<v Speaker 1>music much differently than than other data, and so um,

0:32:32.840 --> 0:32:34.240
<v Speaker 1>you know, this kind of thing has been used to

0:32:34.240 --> 0:32:38.000
<v Speaker 1>study epilepsy e e g. S electro and cephalograms to

0:32:38.080 --> 0:32:41.240
<v Speaker 1>figure out what exactly is going on from people's brains,

0:32:41.240 --> 0:32:44.760
<v Speaker 1>and m seismographic data collected from volcanoes. It's it can

0:32:44.760 --> 0:32:49.240
<v Speaker 1>potentially be used to help blind people see paintings or

0:32:49.360 --> 0:32:51.640
<v Speaker 1>or other images. So I can imagine even this being

0:32:51.720 --> 0:32:54.320
<v Speaker 1>connected to something like an activity tracker, and then you

0:32:54.440 --> 0:32:57.000
<v Speaker 1>can turn that into some sort of sound and you

0:32:57.000 --> 0:33:00.320
<v Speaker 1>can actually hear what your activity would be like during

0:33:00.320 --> 0:33:02.880
<v Speaker 1>a day, and maybe it gets to a very soothing,

0:33:03.360 --> 0:33:07.640
<v Speaker 1>lulling kind of tone where you realize, man, I might

0:33:07.680 --> 0:33:09.560
<v Speaker 1>need to get up and move around a little more.

0:33:09.960 --> 0:33:11.200
<v Speaker 1>I want to I want to have more of a

0:33:11.320 --> 0:33:15.520
<v Speaker 1>Ramans lifestyle and less of the Yanni lifestyle. No, I'm

0:33:15.520 --> 0:33:17.480
<v Speaker 1>being serious though, I mean that can really be a

0:33:17.480 --> 0:33:20.280
<v Speaker 1>way of learning more about yourself. I mean we're talking

0:33:20.360 --> 0:33:23.440
<v Speaker 1>like on different levels, whether it's uh, you know, the

0:33:23.440 --> 0:33:26.959
<v Speaker 1>activity of your brain, or really just learning in a

0:33:26.960 --> 0:33:32.480
<v Speaker 1>new way, like how you are behaving throughout the day. Yeah, totally, Yeah,

0:33:33.120 --> 0:33:35.720
<v Speaker 1>anything you know, we've talked before about big data, and

0:33:36.200 --> 0:33:38.440
<v Speaker 1>I think that that really feeds into this. I mean,

0:33:38.800 --> 0:33:43.680
<v Speaker 1>whenever we are collecting that many points of information. Um. Yeah, Well,

0:33:43.760 --> 0:33:47.080
<v Speaker 1>let me ask you guys a question. What if we

0:33:47.080 --> 0:33:51.360
<v Speaker 1>were to ask a bunch of people what things they what?

0:33:51.360 --> 0:33:54.440
<v Speaker 1>What were the things they liked about music? And then

0:33:54.680 --> 0:33:57.320
<v Speaker 1>take all the information we had gathered. Oh, I know

0:33:57.320 --> 0:34:00.160
<v Speaker 1>where you're going with this. Where they've told us all

0:34:00.160 --> 0:34:03.720
<v Speaker 1>the things that make music great, the best of the best,

0:34:03.800 --> 0:34:06.200
<v Speaker 1>this is the stuff that resonates, and then we made

0:34:06.680 --> 0:34:10.720
<v Speaker 1>the best song ever written based upon that data. Okay,

0:34:10.760 --> 0:34:14.880
<v Speaker 1>so I found a couple old articles. I actually remember

0:34:14.880 --> 0:34:16.719
<v Speaker 1>when these came out. But here's the here's the thing.

0:34:17.160 --> 0:34:19.920
<v Speaker 1>I never listened to these songs until I made you,

0:34:20.000 --> 0:34:22.799
<v Speaker 1>until you made me, and I am so thankful you did.

0:34:23.160 --> 0:34:26.800
<v Speaker 1>There are a couple of songs that I think mitigate, uh,

0:34:27.000 --> 0:34:31.279
<v Speaker 1>our enthusiasm for the well for the self tailored music.

0:34:31.320 --> 0:34:34.640
<v Speaker 1>Remember we talked about, yes, the AI composition, the idea

0:34:34.680 --> 0:34:37.000
<v Speaker 1>that you could get a song tailored to exactly all

0:34:37.040 --> 0:34:39.520
<v Speaker 1>the things you want. Turns out it might be that

0:34:39.719 --> 0:34:43.600
<v Speaker 1>getting exactly the song you want is not a good idea. Yeah,

0:34:43.640 --> 0:34:48.360
<v Speaker 1>so this was something that a trio of gentleman attempted

0:34:48.440 --> 0:34:52.840
<v Speaker 1>to do a vitally Coomar Alex Melamed and David Soldier,

0:34:53.400 --> 0:34:57.120
<v Speaker 1>and they did a survey where they asked people about

0:34:57.160 --> 0:35:01.320
<v Speaker 1>the things they liked about music, piled all that information

0:35:01.360 --> 0:35:05.000
<v Speaker 1>and then ranked it, and then through that compilation they said,

0:35:05.000 --> 0:35:07.560
<v Speaker 1>all right, these are the different elements that people really

0:35:07.680 --> 0:35:10.239
<v Speaker 1>enjoy and among those. By the way, it was this

0:35:10.320 --> 0:35:13.200
<v Speaker 1>was five person survey, so you might argue it's not

0:35:13.400 --> 0:35:19.800
<v Speaker 1>very scientifically rigorous people that that represents the entire width

0:35:19.800 --> 0:35:25.319
<v Speaker 1>and breadth of musicality. So but the most yeah, this

0:35:25.400 --> 0:35:27.719
<v Speaker 1>is what they These are the things and songs that

0:35:27.760 --> 0:35:32.960
<v Speaker 1>they liked the most. That includes songs about love, uh,

0:35:33.080 --> 0:35:38.759
<v Speaker 1>the soprano saxophone, also the tenor saxophone, the concept of

0:35:38.920 --> 0:35:46.400
<v Speaker 1>humble ambition. Also uh, cheesy electronic drums, um drum fills, right,

0:35:46.520 --> 0:35:51.360
<v Speaker 1>drum fills, also working the night shift. Apparently someone was

0:35:51.400 --> 0:35:54.040
<v Speaker 1>thinking of a very specific song on that one. The

0:35:54.080 --> 0:36:00.160
<v Speaker 1>world loves guess so strings, swells, also power chords and

0:36:00.400 --> 0:36:02.960
<v Speaker 1>uh finally, and these are these These come from an

0:36:03.040 --> 0:36:06.759
<v Speaker 1>article that our blog posts from Wired and which is

0:36:06.760 --> 0:36:10.080
<v Speaker 1>a fantastic one. And the Wired posts actually contain the songs.

0:36:10.080 --> 0:36:12.000
<v Speaker 1>You can actually download the MP three's if you like,

0:36:12.040 --> 0:36:17.480
<v Speaker 1>and we will include yes. But the final touch that

0:36:17.520 --> 0:36:21.600
<v Speaker 1>they mentioned is a saccharine male and female harmonies, also

0:36:21.719 --> 0:36:24.040
<v Speaker 1>Paradise by the dashboard light. Like, no, this is turning

0:36:24.040 --> 0:36:26.279
<v Speaker 1>it into easy listening. I wouldn't call Paradise by the

0:36:26.320 --> 0:36:29.560
<v Speaker 1>dashboard light easy listening. Wait does that have male and female?

0:36:29.640 --> 0:36:32.359
<v Speaker 1>Or was that Paradise by the dashboard lights? Okay, I'm

0:36:32.360 --> 0:36:35.160
<v Speaker 1>not thinking if I would do anything. Okay, that's all

0:36:35.200 --> 0:36:38.520
<v Speaker 1>I can say. Go on, let me do anymore. No, anyway,

0:36:38.560 --> 0:36:42.080
<v Speaker 1>they that. So they took all these things and they

0:36:42.120 --> 0:36:46.760
<v Speaker 1>wrote a song, and it's possibly one of the worst

0:36:46.800 --> 0:36:50.319
<v Speaker 1>songs I've ever is off Well, first of all, I

0:36:50.360 --> 0:36:53.960
<v Speaker 1>think consciously, so we're not missing them, No, I think

0:36:54.000 --> 0:36:58.520
<v Speaker 1>I think even they were doing this totally tongue in cheek. Um.

0:36:58.600 --> 0:37:02.360
<v Speaker 1>So it was It's an experience. You really have to

0:37:02.360 --> 0:37:04.400
<v Speaker 1>go and listen to it. But when I first started listening,

0:37:04.400 --> 0:37:05.839
<v Speaker 1>the first thing I thought was, I feel like I'm

0:37:05.840 --> 0:37:10.360
<v Speaker 1>in the dentist's waiting room. This is this is the

0:37:10.480 --> 0:37:14.040
<v Speaker 1>uncomfortable experience I have before I have to go and

0:37:14.080 --> 0:37:17.520
<v Speaker 1>have an even more uncomfortable experience of how my teeth

0:37:17.600 --> 0:37:23.400
<v Speaker 1>drilled so well, this introduces the idea that, um, maybe

0:37:23.440 --> 0:37:27.520
<v Speaker 1>we shouldn't get everything we want. Maybe it's worth trusting

0:37:27.719 --> 0:37:31.919
<v Speaker 1>some experts to create music for us. Before we get

0:37:31.960 --> 0:37:34.160
<v Speaker 1>too far into that, let's also point out this most

0:37:34.280 --> 0:37:37.840
<v Speaker 1>Wanted song, which by the way, is preceded by a

0:37:37.960 --> 0:37:42.680
<v Speaker 1>voicing Most Wanted Song, and then it goes into It

0:37:42.760 --> 0:37:45.759
<v Speaker 1>is about five minutes long. They also did one for

0:37:45.880 --> 0:37:49.000
<v Speaker 1>the Most Unwanted Song, where they tried to pull together

0:37:49.080 --> 0:37:51.520
<v Speaker 1>all the elements that people said they did not like,

0:37:51.719 --> 0:37:56.320
<v Speaker 1>typically like holiday music, bagpipes of pipe organ, children's choruses,

0:37:56.800 --> 0:38:03.759
<v Speaker 1>m accordion, ban joe, Walmart, rapping, and opera. You have

0:38:03.800 --> 0:38:07.839
<v Speaker 1>an operaretic singer rapping about being a cowboy, and then

0:38:07.920 --> 0:38:12.439
<v Speaker 1>you have children burst in to sing about holidays and children, Yeah,

0:38:12.880 --> 0:38:17.400
<v Speaker 1>had children in general. Um, the children's course jumps in randomly,

0:38:18.040 --> 0:38:22.040
<v Speaker 1>it starts to sing about various holidays. We should just

0:38:22.080 --> 0:38:24.719
<v Speaker 1>stop describing it and let them listen. Well, it's also

0:38:25.160 --> 0:38:28.440
<v Speaker 1>I have to say that I don't think I'll ever

0:38:28.480 --> 0:38:30.640
<v Speaker 1>be able to hear any kind of holiday song ever

0:38:30.760 --> 0:38:34.360
<v Speaker 1>again without immediately thinking of the phrase shop at Walmart.

0:38:35.200 --> 0:38:37.239
<v Speaker 1>This had this had all three of us just just

0:38:37.520 --> 0:38:40.480
<v Speaker 1>doubled over at our desks earlier. And while the most

0:38:40.880 --> 0:38:43.879
<v Speaker 1>wanted song is five minutes long, the most unwanted song

0:38:43.960 --> 0:38:47.680
<v Speaker 1>is about twenty two minutes long and well worth the

0:38:47.800 --> 0:38:50.200
<v Speaker 1>twenty two minute time commitment it will take to listen.

0:38:50.200 --> 0:38:54.280
<v Speaker 1>From me, I found it quite enjoyable um and reminded

0:38:54.280 --> 0:38:57.840
<v Speaker 1>me less of the couple's skate at at roller skating

0:38:57.880 --> 0:39:01.120
<v Speaker 1>rinks when I was like twelve, so over you that

0:39:01.239 --> 0:39:04.600
<v Speaker 1>less than the want, right, So I will say that

0:39:04.640 --> 0:39:07.600
<v Speaker 1>the unwanted song also to me sounded like, uh, if

0:39:07.640 --> 0:39:11.680
<v Speaker 1>you had mixed they might be giants song Fingertips, which

0:39:11.800 --> 0:39:14.960
<v Speaker 1>was a collection of little songs all all smashed together.

0:39:15.040 --> 0:39:17.640
<v Speaker 1>So it wasn't there's no real theme, and there's no

0:39:18.120 --> 0:39:21.200
<v Speaker 1>like each little vignette is very different from the one

0:39:21.280 --> 0:39:23.480
<v Speaker 1>that precedes it and the one that follows it. Uh.

0:39:23.600 --> 0:39:24.960
<v Speaker 1>So it was kind of like that because there are

0:39:25.000 --> 0:39:27.600
<v Speaker 1>a lot of mishmashes in this twenty two minute long song.

0:39:27.880 --> 0:39:32.880
<v Speaker 1>It also reminded me of the musical comedy of p

0:39:33.040 --> 0:39:36.480
<v Speaker 1>d q Bach, which is Peter Shile is behind that

0:39:36.560 --> 0:39:40.240
<v Speaker 1>and it's a he has invented a whole cloth, a

0:39:40.239 --> 0:39:45.839
<v Speaker 1>fictional son of Johann Sebastian Bach, who is a who

0:39:45.880 --> 0:39:48.560
<v Speaker 1>wanted to be a great composer but failed in almost

0:39:48.600 --> 0:39:51.040
<v Speaker 1>every respect. And if you ever listened to p D

0:39:51.320 --> 0:39:54.759
<v Speaker 1>Box Music and you listen to this Most Unwanted Song,

0:39:54.840 --> 0:39:56.600
<v Speaker 1>you're going to recognize some themes. And part of that

0:39:56.640 --> 0:40:00.480
<v Speaker 1>is because Peter Shiley, when he makes these PDQ back pieces,

0:40:00.920 --> 0:40:04.200
<v Speaker 1>is specifically incorporating things that are a quote unquote wrong.

0:40:04.640 --> 0:40:07.440
<v Speaker 1>They are breaking the rules, not following the rules of

0:40:07.760 --> 0:40:11.600
<v Speaker 1>musical composition. Uh. In that case, he's doing it for comedy.

0:40:11.920 --> 0:40:14.480
<v Speaker 1>You could argue that the Most Unwanted Song does the

0:40:14.520 --> 0:40:16.319
<v Speaker 1>same you know, does it for the same reason. I

0:40:16.480 --> 0:40:19.359
<v Speaker 1>found it hilarious, and every time a new holiday came up,

0:40:19.360 --> 0:40:23.359
<v Speaker 1>I was like, hey, um, yeah, As I was saying

0:40:23.360 --> 0:40:25.759
<v Speaker 1>a minute ago, I think an interesting thing that the

0:40:25.800 --> 0:40:28.920
<v Speaker 1>Most Wanted Song points out is is it sort of

0:40:28.960 --> 0:40:34.879
<v Speaker 1>subtly underlines the idea of artistic integrity, like that by

0:40:35.120 --> 0:40:38.000
<v Speaker 1>by saying that you want all these things is like

0:40:38.040 --> 0:40:41.040
<v Speaker 1>trying to to say what you would want in a

0:40:41.040 --> 0:40:43.520
<v Speaker 1>piece of music. You're ignoring the fact that a piece

0:40:43.560 --> 0:40:46.160
<v Speaker 1>of music as it is now is typically created by

0:40:46.160 --> 0:40:48.319
<v Speaker 1>a person, right, and it's not like a burger. It's

0:40:48.320 --> 0:40:50.200
<v Speaker 1>not like you can just go in and say like, hey,

0:40:50.239 --> 0:40:53.360
<v Speaker 1>so I want these things and none of those other things.

0:40:53.400 --> 0:40:57.320
<v Speaker 1>I mean, apparently you can do that, but it turns

0:40:57.360 --> 0:40:59.640
<v Speaker 1>out the burger might be better if you just trust

0:40:59.680 --> 0:41:02.080
<v Speaker 1>the chef. Now, what's interesting is I would argue that

0:41:02.120 --> 0:41:04.680
<v Speaker 1>a lot of pop music that comes out, not all

0:41:04.680 --> 0:41:08.520
<v Speaker 1>of it, but a lot of it is essentially made

0:41:08.600 --> 0:41:11.719
<v Speaker 1>to a formula. So there is some very formulaic music

0:41:11.760 --> 0:41:13.600
<v Speaker 1>out there that is very popular. It's just that this

0:41:13.680 --> 0:41:16.120
<v Speaker 1>was taking it to a ridiculous extreme. And it's also

0:41:16.200 --> 0:41:17.840
<v Speaker 1>a lot of pop music is also written by a

0:41:17.880 --> 0:41:20.480
<v Speaker 1>few of by a very few people, and um farmed

0:41:20.520 --> 0:41:23.520
<v Speaker 1>out to the artists. Hey, let's not just say pop music.

0:41:23.560 --> 0:41:25.880
<v Speaker 1>I mean I think in in some ways pretty much

0:41:25.920 --> 0:41:29.160
<v Speaker 1>all music, or almost all music, is formulaic, even the

0:41:29.200 --> 0:41:32.120
<v Speaker 1>most you know what you was say quote authentic music

0:41:32.239 --> 0:41:34.600
<v Speaker 1>is formulaic in a way. I mean, there there are

0:41:34.640 --> 0:41:40.319
<v Speaker 1>like sure, right, that is true. I'm just thinking of

0:41:40.320 --> 0:41:43.640
<v Speaker 1>a much narrower set of conventions for the particular kind

0:41:43.640 --> 0:41:45.120
<v Speaker 1>of like you know, like when you're thinking about very

0:41:45.160 --> 0:41:48.239
<v Speaker 1>specific subgenre like bubble gum pop, it's got this very

0:41:48.280 --> 0:41:50.560
<v Speaker 1>specific sound to it. And you know, that's one of

0:41:50.600 --> 0:41:53.319
<v Speaker 1>those things where I'm not saying you don't have to

0:41:53.360 --> 0:41:55.600
<v Speaker 1>have talent to produce it. It's just that it's one

0:41:55.600 --> 0:41:57.759
<v Speaker 1>of those things where if I listen to more than

0:41:57.800 --> 0:41:59.880
<v Speaker 1>five or six songs, I can't tell where it stopped

0:41:59.880 --> 0:42:02.279
<v Speaker 1>and where it began. But then I'm also old and

0:42:02.280 --> 0:42:05.120
<v Speaker 1>I yell at people to get off my lawns. So yeah, yeah,

0:42:05.520 --> 0:42:08.200
<v Speaker 1>so I mean there's that I'm curious to see where

0:42:08.760 --> 0:42:11.640
<v Speaker 1>musical composition goes in the future. I am too, I

0:42:11.719 --> 0:42:15.080
<v Speaker 1>am too. And also, you know, again, just to remind everybody,

0:42:15.080 --> 0:42:16.759
<v Speaker 1>we are going to have blog post up where we're

0:42:16.760 --> 0:42:18.600
<v Speaker 1>gonna have links to all this stuff, and you can

0:42:18.640 --> 0:42:20.680
<v Speaker 1>get those MP three's of the Most Wanted Song and

0:42:20.719 --> 0:42:23.640
<v Speaker 1>Most Unwanted Song. They are still available, so if you

0:42:23.680 --> 0:42:26.480
<v Speaker 1>want to get your your grubby little musical hands on,

0:42:26.520 --> 0:42:29.560
<v Speaker 1>those will show you where to go. And uh, and

0:42:29.640 --> 0:42:31.840
<v Speaker 1>I don't know why you wouldn't. These things are brilliant

0:42:32.080 --> 0:42:35.400
<v Speaker 1>in their own kind of awful way. Uh. Meanwhile, if

0:42:35.400 --> 0:42:37.239
<v Speaker 1>you want to join in on the conversation, what you

0:42:37.239 --> 0:42:39.640
<v Speaker 1>should do is go to f w thinking dot com.

0:42:39.719 --> 0:42:41.880
<v Speaker 1>That's the website where we've got all the podcasts, all

0:42:41.920 --> 0:42:45.040
<v Speaker 1>the blog posts, the videos. We've got articles there you

0:42:45.080 --> 0:42:47.640
<v Speaker 1>can join in on the conversation. Let's know what you think.

0:42:47.719 --> 0:42:50.040
<v Speaker 1>Is the best song ever written or maybe the worst

0:42:50.160 --> 0:42:52.400
<v Speaker 1>song ever written. I'm curious to hear your thoughts on

0:42:52.440 --> 0:42:54.759
<v Speaker 1>both of those, or if you can imagine listening to

0:42:54.800 --> 0:42:57.480
<v Speaker 1>a song created by a computer. Yeah, let's know. I

0:42:57.480 --> 0:43:01.120
<v Speaker 1>mean maybe you already have. Yeah, So get in touch

0:43:01.160 --> 0:43:03.000
<v Speaker 1>with us, let's know what you think, and we will

0:43:03.040 --> 0:43:09.520
<v Speaker 1>talk to you again. Really similar. For more on this

0:43:09.600 --> 0:43:23.760
<v Speaker 1>topic and the future of technology, visit forward thinking dot Com,

0:43:23.880 --> 0:43:26.720
<v Speaker 1>brought to you by Toyota. Let's go Places,