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1:53
I'm talking with Kako
1:55
Shavastav, CEO of music
1:57
creation platform Splice. I
2:00
don't think I... need
2:02
to introduce Splice. I
2:04
just need to play
2:06
this clip. If you
2:08
exist on planet Earth,
2:10
you know that guitar
2:12
loop. It's the main
2:14
loop from Sabrina Carpenters
2:16
hit Espresso, which is
2:19
an inescapable pop music
2:21
phenomenon. That
2:31
loop is part of a sample pack you
2:33
can get on Splice. In fact, most of
2:35
Espresso is built from samples you can get
2:38
on Splice, which is one of the biggest
2:40
marketplaces for loops and samples around. Anyone can
2:42
just go sign up, pay the money, download
2:44
royalty-free loops, and try to make pop hits
2:47
all day long. Making songs like this is
2:49
just part of music making now, and it
2:51
has been ever since Riana's monster hit Umbrella
2:53
was built around a garage band loop called
2:56
Vintage Func03 in 2007. Seriously,
3:02
this just comes with garage band.
3:04
Now if you're at a Coder
3:06
listener, you know that some of
3:08
my favorite conversations are with the
3:10
people who build technology products for
3:12
creatives, and that I'm obsessed with
3:14
how technology changes the music industry
3:16
in particular, because it feels like
3:18
whatever happens to music happens to
3:20
music happens to everything else five
3:22
years later. So talking a cockle
3:24
really hit all those notes for
3:26
me, because Splice is wrapped up
3:28
in all of it. And some
3:30
of its new products, including some
3:32
new AI tools, might change how
3:34
music is made all over all
3:37
over again. Cockle's been the CEO
3:39
of Splice for three years now.
3:41
Before that, she was with Adobe.
3:43
So she has a lot of
3:45
experience working at a company that
3:47
makes tools for a creative user
3:49
base that's threatened by things like
3:51
AI. But if you've listened to
3:53
any of our Adobe episodes or
3:55
episodes about other kinds of AI-powered
3:57
creative tools, you know that the
3:59
flip side is that people actually
4:01
use the tools at high rates,
4:03
because they're fun to play with
4:05
and they do. hard lines about
4:07
what Splice will and won't do
4:09
with AI, but also to see
4:11
how the broader music industry can
4:13
try and make sense of all
4:15
this technology and what it might
4:17
do to music in the future.
4:19
I also wanted to talk about
4:22
how Splice is navigating the incredibly
4:24
complex minefield of copyright law and
4:26
attribution on the internet, something that's
4:28
only getting more complicated with AI
4:30
and the ever-increasing number of copyright
4:32
lawsuits filed against the big AI
4:34
companies by creatives of all kinds.
4:36
There's a lot in this one.
4:38
And Kaku was willing to fall
4:40
pretty deep on some of these
4:42
rabbit holes with me. I think
4:44
you'll like it. Let me know
4:46
what you think. Okay, Splice CEO
4:48
Kaku Shirestov. Here we go. I
4:50
have wanted to do this conversation
4:52
forever, so I'm glad I'm here.
4:54
Yeah, we ran into each other
4:56
at the code conference last year
4:58
and we just, we're off to
5:00
the races talking about music and
5:02
technology and AI, and I'm glad
5:04
you're finally here. Because so much
5:07
has changed since then, but all
5:09
of the issues are kind of
5:11
still there and still working towards
5:13
resolution. Yeah, yeah, a lot's changed,
5:15
lots going to keep changing. And
5:17
you're right. Some of the core
5:19
issues are still the core issues.
5:22
And along the way, at least
5:24
one like massive hit single has
5:26
been made using loops from Splice.
5:29
So there's that. Oh, come on,
5:31
not just one, not just one.
5:34
I think Aspreso, there's Aspreso and
5:36
there's like a lot of other
5:38
ones. I love Aspreso, it's, you
5:41
know, it's awesome, but a very
5:43
large proportion of top music everywhere
5:46
using Splice. What do you do
5:48
for folks? Splice is a music
5:50
creation platform that is used by
5:53
music creators musicians music creators. That's
5:55
our focus, you know, who are
5:57
our creators. And what we provide
6:00
to them, we have this tagline
6:02
start with sound, you know, so
6:05
we do start with sound. And
6:07
we provide them with probably the
6:09
world's most diverse, most high quality
6:12
sonic palate. We send people all
6:14
over the world. Right before this,
6:16
I was looking at a report
6:18
from our team that just came
6:20
back from Brazil. And we're recording
6:22
sounds, we're meeting artists on the
6:24
ground. So we're capturing the sounds
6:26
of the sounds of the sounds
6:29
of the world. and we make
6:31
that available through our platform. We
6:33
also provide AI-based creative tools that
6:35
help you start with the sound,
6:37
but make it your own. We
6:39
have compositional AI. We just launched
6:41
something brand new at South by
6:43
Southwest called Splice Mike, which allows
6:45
you to hum an idea, start
6:47
with a musical idea right in your
6:49
phone, and we'll help you compose around
6:52
that by putting the right samples next
6:54
to it to help you get you
6:56
to your final track. So there's
6:58
a lot here, which is here are the
7:00
foundational pieces of making a song, right? We're
7:02
going to do loops and samples. We're going
7:04
to have this library of audio. And then
7:07
there's this turn, which I see a lot
7:09
of companies that make creative software starting to
7:11
make, which is we're going to do it
7:13
for you. It used to work at Adobe,
7:16
Adobe I think is the. the paradigmatic example
7:18
of this right now, you can just push
7:20
generative fill in Photoshop and it just does
7:22
a bunch of stuff for you. You can
7:24
prompt Photoshop now in various ways and it
7:27
does stuff for you. Are you all the
7:29
way there with Splice and where you're going
7:31
where you can say, write me a country
7:33
song and Splice will just do it for
7:35
you? Actually, we're totally not. That's totally not
7:37
what we're trying to do. And I'm so
7:39
glad to ask this question because I really
7:42
want to put this idea out there. Our
7:44
creatives, our musicians, our artists, the
7:46
people who we think about all
7:48
day long, the last thing they
7:50
want is someone to make the
7:52
song for them. In fact, one
7:55
of the things that we learned
7:57
when we launched Create out of the
7:59
gate was People are like, oh,
8:01
this feels like cheating. This feels
8:03
too easy. I need more controls.
8:05
And so right from day one,
8:07
we've been adding more sophistication, more
8:09
technology, and more customization, more personalization
8:11
for users out of the gate.
8:14
Because for our users, it's really
8:16
about the creative process. And how
8:18
is that interesting? How are they
8:20
able to get the tools to
8:22
kind of capture what's happening inside?
8:24
and turn it into a song,
8:26
turn it into a vibration, turn
8:28
it into something that they can
8:30
share with other people. So it
8:33
is absolutely not push-button creation. That's
8:35
not fun. This is a long
8:37
argument in music. It goes past
8:39
decades. It stretches before AI hit
8:41
the scene. You must at the
8:43
company have some sense of how
8:45
people perceive building music out of
8:47
sample packs. And even before espresso
8:49
umbrella by Riana was garage band
8:52
loo, which I think is... That's
8:54
just a moment in music that
8:56
should belong in the history books,
8:58
you know? Totally. How have you
9:00
dealt with that? Okay, music is
9:02
now just assembling a bunch of
9:04
pre-made samples and that's good or
9:06
bad. People have a lot of
9:08
feelings about that. Is that a
9:10
framework you're using as you enter
9:13
sort of the AI generation era?
9:15
So I'm going to take exception
9:17
with what you just said. Sure.
9:19
I don't think music making today
9:21
is putting just a bunch of
9:23
samples together. I think that... By
9:25
the way, I will concede that
9:27
that is a very reductive criticism,
9:29
but it is a criticism. I
9:32
think of samples as the building
9:34
blocks for how modern music is
9:36
made, and it used to be
9:38
a hip-hop thing, it used to
9:40
be, you know, very specific genres,
9:42
and now it's in every genre.
9:44
One of our largest growing genres
9:46
is country music, which I never
9:48
thought would happen, but it is.
9:50
You're using samples to make country
9:53
music. I think the... Artistry of
9:55
using samples to make music is
9:57
that you start with a sample,
9:59
you start with the sound, but
10:01
then you make it your own.
10:03
One, how you assemble it, but
10:05
how you change it. the sound,
10:07
how you vary it, what you
10:09
do inside the digital audio workstation,
10:12
which is like the primary creative
10:14
canvas. I think that's really important.
10:16
Sorry, I got really heeded about
10:18
this, this is important to me.
10:20
No, I asked that question somewhat
10:22
to provoke that response, right? Because
10:24
like I said, it is a
10:26
reductive criticism, but it's a criticism
10:28
that has existed. And I guess
10:30
I'm curious, you have that response
10:33
to the criticism of sample usage.
10:35
Fundamentally, it's about what is the
10:37
creative process. And I personally spend
10:39
a ton of time with craters.
10:41
And what they are telling me
10:43
over and over and over again
10:45
is I want better tools. And
10:47
when I was at Adobe, this
10:49
is also something that we heard
10:52
from people. I want better tools.
10:54
And so the work for us,
10:56
the work for any company that's
10:58
wanting to really meet the needs
11:00
of this growing and large market.
11:02
is how do you build better
11:04
tools in this era of AI?
11:06
It's not going to be, oh,
11:08
let me type a bunch of
11:11
prompts and I get a song
11:13
out at the end. What happens
11:15
next? How do I edit that?
11:17
How do I change this particular
11:19
part of the song and get
11:21
it to sound a certain different
11:23
way? How do I take this
11:25
sample and make it into something
11:27
else? How do I get my
11:29
musical idea? And I mean, and
11:32
you saw this with the Splice
11:34
Mike launch as well. A lot
11:36
of it is... How do we
11:38
get more of you into the
11:40
music creation process as quickly as
11:42
possible? So that's fundamental, whether we're
11:44
talking about using a synthesizer to
11:46
make music or samples to make
11:48
music or AI to make music,
11:51
how do you make sure the
11:53
creative process is respected throughout those
11:55
different transitions and music innovation? That's
11:57
a lot of sort of incoming
11:59
about what your product should look
12:01
like, right? You're getting feedback from
12:03
artists, from musicians, from other creators.
12:05
Yeah. There's another side of the
12:07
puzzle, particularly music, which is... copyright
12:09
holders, labels. Now there are these
12:12
huge private equity companies that own
12:14
huge catalogs that want to assert
12:16
their rights in various ways. There's
12:18
the distributors themselves, now like Spotify
12:20
and YouTube. Do they have a
12:22
point of view that's informing how
12:24
you're using AI or how you're
12:26
thinking about sample licensing? Because that
12:28
seems like the most complicated part
12:31
of your business. Yes and no.
12:33
We are aligned across the industry,
12:35
whether it's with universal music or...
12:37
any of the other key, you
12:39
know, high quality players in the
12:41
industry, we are very aligned that
12:43
the rights of the creator have
12:45
to be respected. And again, our
12:47
position is super simple. We're going
12:50
to focus on the craters and
12:52
what craters want, and we're going
12:54
to try to meet their needs.
12:56
So the rights of the craters
12:58
have to be respected. On the
13:00
splice side of things... We take
13:02
this pretty seriously and we take
13:04
it seriously throughout the entirety of
13:06
our process, starting with ingestion, right?
13:08
How does a sample producer, sample
13:11
pack creator, come into the Slice
13:13
platform? We have an entire organization
13:15
that sort of does the intake,
13:17
does the QC, checks the providence.
13:19
If you're telling us you're the
13:21
creator, do we know that you're
13:23
really the creator, etc. So that...
13:25
process of ingesting is something we
13:27
take seriously. Is it tagged effectively?
13:30
Is it tagged appropriately all the
13:32
way through getting onto the platform?
13:34
And all the quality stuff, like
13:36
is the sound clear? Is the
13:38
recording nice? All of that. To
13:40
the other end of it, which
13:42
is, what is the experience of
13:44
someone who is downloading a sample
13:46
from Splice and able to use
13:48
it? We want to make sure
13:51
that every single download that you
13:53
do on Splice. has the potential,
13:55
but you can download the PDF
13:57
that says you've got royalty free,
13:59
you've got full rights to this
14:01
material to use it for any
14:03
kind of creation. So that's something
14:05
that's a basic part of what
14:07
we do, and it's been that
14:10
way. for a long time. On
14:12
top of that is the AI
14:14
story, and that's the big story
14:16
that everyone's talking about. I think
14:18
there, it's really simple as well.
14:20
It should be, which is if
14:22
you're gonna use content to train,
14:24
you should train on content that
14:26
you have rights to. It's not
14:28
okay to disrespect the rights of
14:31
creators. And I think, again, most
14:33
players in this space are pretty
14:35
aligned on that. Yeah, it occurs
14:37
to me just as you describe
14:39
that that you are a creator
14:41
platform for creators. There are people
14:43
who sit around making sample packs
14:45
and then they might make money,
14:47
put uploading sample packs to splice,
14:50
and then on the other end
14:52
you've got artists who are downloading
14:54
sample packs, paying you money to
14:56
go use them in other songs.
14:58
That's a unique situation. Are there...
15:00
It really is. Can I just
15:02
go back to your sample thing
15:04
because you really poked me on
15:06
that and I want to come
15:09
back to that for one second?
15:11
That's what's really magical about using
15:13
samples to make music. It's not
15:15
just a random sound that you
15:17
got on splice, there's an artist
15:19
at the other end of that.
15:21
And we work with, you know,
15:23
so just the Sao Paulo team,
15:25
we work with some of the
15:27
people who are really at the
15:30
forefront of funk and what that
15:32
means and what that sound is
15:34
and how it's evolving. So when
15:36
you're using a sample pack from
15:38
splice, you're collaborating with those people
15:40
and it's a collaboration, it's a
15:42
storytelling between those two different artists
15:44
coming together. I think that's really
15:46
fun. Yeah. It's a neat part
15:49
of the place. Are there creators
15:51
who make their entire living just
15:53
making sample packs for you? There
15:55
are some, yeah. Is that a
15:57
viable approach to being a professional
15:59
musician? I think it is for
16:01
some people. For some people, you
16:03
know, they make hundreds of thousands
16:05
of dollars. For some people, you
16:07
know, they're building their own musical
16:10
career and this is part of
16:12
what they're doing. So we see
16:14
a big range of people. I
16:16
will say that the revenue that
16:18
we've shared. with the artists on
16:20
our platform over time. It's at
16:22
an all-time high. So it's nice
16:24
to feel good, you know, to
16:26
be able to feel good about
16:29
that too. I've been spending a
16:31
lot of time just thinking about
16:33
the economics of creator platforms, whether
16:35
they're sustainable over time, on sort
16:37
of the big consumer platforms, you
16:39
see that creators have to augment
16:41
their income. They all have to
16:43
do brand deals, they all have
16:45
to do brand expansions or sponsored
16:48
content or whatever. You can't really
16:50
do that on a splice. Sabrina
16:52
Carpenter makes espresso. I'm guessing the
16:54
person who made that sample pack
16:56
did not get paid more money
16:58
because that song was a hit
17:00
just based on how your licenses
17:02
work. That's the that's the pro
17:04
and the con of being royalty
17:06
free. We are royalty free and
17:09
that what that means for the
17:11
creators is they don't have to
17:13
get stressed about it. You can
17:15
use the sample. It's clear. You
17:17
know, you don't have to worry
17:19
about clearing the rights. The downside
17:21
is you don't get to share.
17:23
in the sort of upside when
17:25
something big like that happens. We're
17:28
really here to make sure that
17:30
as many people can create as
17:32
possible and you know that that's
17:34
part of how our model works.
17:36
How does your revenue work? What
17:38
does Splice take the money? We
17:40
are a subscription platform so people
17:42
buy a subscription to Splice and
17:44
that gives them access to this
17:46
unlimited library of sounds along with
17:49
the creative tools that were... investing
17:51
in heavily for the future, you
17:53
get a certain number of credits
17:55
per month and use those credits
17:57
to download sounds that you can
17:59
then use as you want. And
18:01
is growth just getting more and
18:03
more artists to use splice on
18:05
both sides as creators and as
18:08
people who are subscribers? Yeah, that
18:10
is growth in both. It's been
18:12
a interesting journey over the last
18:14
three years while I've been here,
18:16
but growth is really good. We
18:18
need to take a quick break.
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State Department of Financial Services. Today
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at T-Mobile I'm joined by a
20:51
special co-anchor. What up everybody? It's
20:54
your boy, Big Snope deal, double
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sheet. Snoop! Where can people go
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to find great deals? Hand to
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Plus four lines plus four lines
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four lines for 25. That's four
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lines for Apple intelligence, with Apple
21:13
Intelligence, with Apple intelligence,
21:16
requires IOS-18 point one
21:18
or later. We're
21:21
back with Splice O'Cuckle Shavastav, getting into
21:23
the big decoder questions to understand how
21:25
Cuckle's background at Adobe and other big
21:27
software companies has influenced how Splice is
21:30
approaching the music industry. I think that
21:32
brings us kind of to the decoder
21:34
questions. You're a newish CEO, you're three
21:36
years in, you were at Adobe before,
21:39
I think you had two different stints
21:41
at Adobe. I did, I did, right
21:43
out of business school, and when it
21:45
was a perpetual business business, and more
21:48
recently, well on its subscription journey. Adobe
21:50
is the creative software company. They have
21:52
a very, I would say, back and
21:54
forth relationship with creatives. You know, we
21:56
had Shunton and Ryan on the show.
21:59
We got feedback on that. episode of
22:01
Dakota like nothing else we've ever experienced.
22:03
People have a lot of feelings about
22:05
Adobe, what that software represents, what that
22:08
subscription is worth, what AI means to
22:10
Adobe as a company and its user
22:12
base. You obviously have some of that
22:14
experience. As you've come into Splice, how
22:17
have you thought about applying those lessons
22:19
to what is well on its way as being
22:21
one of those companies for the musical
22:23
community? Adobe's been a really
22:25
important part of my career journey. I
22:27
learned a ton of great things. at Adobe
22:29
both good and bad. I was also one
22:32
of the early people at Flickr, the
22:34
photo sharing site, which I don't know
22:36
if you ever used, but a lot
22:38
of people loved it. We... There's some
22:40
Flickr users right now who are
22:42
writing us emails. I'm just letting
22:44
you know. They still like... It's...
22:46
It's... I was also the head
22:48
of product and marketing at GitHub.
22:50
So I've had a chance to
22:53
see crater tools in multiple different
22:55
places. And all of that has
22:57
really informed what I'm bringing here
22:59
to Splice. The journey for me
23:02
has been a little bit around
23:04
pattern recognition. One thing that I've
23:06
seen at Flickr, at GitHub, some
23:08
parts of Adobe that I see
23:11
here at Splice, is that you
23:13
have a business that's centered around
23:15
content, and you have a lot
23:17
of rich metadata around that
23:20
content. and you have lots
23:22
and lots of impressions around
23:24
that content so that users
23:26
are giving you information about
23:28
it. And so at Splice, we
23:30
have about a million songs
23:33
that are samples that are
23:35
sounds that are downloaded today.
23:37
That's a lot. We have
23:39
28 million stacks that have been
23:41
created using our AI tools. So
23:43
we have a lot of impressions
23:46
of what sounds are people listening
23:48
to. How are they creating things
23:50
together? What sounds go well together?
23:52
And that's been a really interesting thing.
23:55
Once you have that data, once
23:57
you have that metadata, you can
23:59
use that. build rich experiences on
24:01
top, which is what we're doing
24:03
now with the creative tools, the
24:05
AI-based creative tools. That feels very
24:07
familiar to bring to Splice, to
24:09
bring to the music industry where
24:11
I've seen it at get hub,
24:13
I've seen it at Flickr, I've
24:15
seen it at Flickr, I've seen
24:17
it at these other places. That
24:19
turn to we're going to make
24:21
the tools that actually help you
24:23
create the music. Yeah. You can
24:25
look at it in a slightly
24:28
more abstract way, right? you go
24:30
off to the races, Splice doesn't
24:32
see what you're doing in those
24:34
apps. But those are the dominant
24:36
music creation apps. To this day,
24:38
they're still the dominant music creation
24:40
apps. You're suggesting with something like
24:42
Splice Mike or Splice Create on
24:44
the phone that you have on
24:46
mobile, that you're going to take
24:48
some of that creation, right? Particularly
24:50
on a phone, I think there's
24:52
a lot of opportunity to reinvent
24:54
how we make music. It's still
24:56
fairly cumbersome and phone screenscreens are
24:58
small. the features you launch at
25:00
South by Southwest Southwest are interesting
25:02
because they use AI to make
25:04
that a little bit faster, more
25:06
seamless, more sketchy, right? You can
25:08
sketch an idea very quickly on
25:10
a phone now. Is that the
25:13
extension? We're going to go take
25:15
some of Pro Tools Market Share.
25:17
We're going to go take some
25:19
of Logics Market Share. So I
25:21
think that word take suggests a
25:23
zero-sum game. This is not a
25:25
zero-sum game. It's about expanding and
25:27
exploring the creative process. Many of
25:29
our users use Splice Mic or
25:31
user mobile app as an adjunct
25:33
part of their process. that they
25:35
will ultimately finish inside a digital
25:37
audio workstation. And I love to
25:39
see that. So one of our
25:41
super, super top-end producers has worked
25:43
with all, many of the big
25:45
names that you would recognize. He'll
25:47
tell me, you know, I'll get
25:49
into my Uber, I'll start playing
25:51
with the Splice app, I'll generate
25:53
a bunch of stacks, but by
25:55
the time I get to the
25:57
studio, I've got a bunch of
26:00
ideas that I can show the
26:02
artists right away, and then... That's
26:04
a really core part of his
26:06
creative process. You know, I was
26:08
just at my kids' school where
26:10
they have a digital music production
26:12
class. And for them, listening to
26:14
sounds on Splice is a really
26:16
core part of learning. What does
26:18
this genre sound like? What does
26:20
it mean to create a Bollywood
26:22
hit? What does it mean to
26:24
create something that's a K-pop sound?
26:26
And I think that's a different
26:28
way. to use this experience. So
26:30
for us, it's not, we're going
26:32
to take it away from this
26:34
place or this place, but how
26:36
do we expand how much we're
26:38
part of the creative journey in
26:40
different ways? But the idea that
26:42
you're going to start and finish
26:45
a song in Pro Tools, you're
26:47
not looking at that. Do we
26:49
think that we're going to directly
26:51
compete with a Pro Tools? No.
26:53
I don't think so. I think
26:55
Pro Tools has its place. Just
26:57
like Photoshop has its place. There
26:59
are people who tell us every
27:01
single day, you will take Ableton
27:03
out of my cold dead hands.
27:05
It's just not going to happen.
27:07
And there are a lot of
27:09
other parts of the creative process
27:11
that are painful. So for example,
27:13
when I sit down with one
27:15
of our creators, inevitably there will
27:17
be a situation where they will
27:19
go and they're like, oh, we
27:21
need to find a certain kind
27:23
of kick drum. They'll find a
27:25
folder and they'll do a sub
27:27
folder and they'll do a sub
27:30
folder and then they'll finally find
27:32
the sub sub sub folder that
27:34
has 20 Hick drum sounds that
27:36
they have like saved and they
27:38
And you just go through and
27:40
you listen to these sounds that
27:42
is painful. That is a painful
27:44
process and it shouldn't be that
27:46
hard And so we've just done
27:48
this new experience that we launched
27:50
in October last year, where we
27:52
integrated with Studio One, which is
27:54
one of the top digital audio
27:56
workstations. And there's a splice integrated
27:58
searchwood sound experience. So we listen
28:00
to what you're creating inside Studio
28:02
One, and we'll suggest the samples
28:04
that go with it right there,
28:06
integrated as part of. creative workflow.
28:08
Do I think I'm going to
28:10
have a play studio one? Absolutely
28:12
not. Can I make the studio
28:15
one experience a lot better? Because
28:17
Splice is there and Splice is
28:19
smart. With AI, 100% all day
28:21
long. How do these conversations work
28:23
with all those digital audio station
28:25
providers? Right. They're all very different.
28:27
The companies that make them are
28:29
all very quirky. Some of them
28:31
are Apple, right? It's all the
28:33
music tech industry is very quirky.
28:35
It's all very quirky. There's a
28:37
lot of, I would say, centric
28:39
Europeans floating around this industry in
28:41
particular. It's great. It's one of
28:43
my favorite parts of the tech
28:45
industry to cover. And then you
28:47
have a company like Apple, right,
28:49
which is, they're just going to
28:51
do whatever they want to do.
28:53
That's just how they work. Splice
28:55
has to integrate with all of
28:57
it. Some of them are expanding
28:59
into your zone, right? They are
29:02
adding sample packs and libraries and
29:04
subscription features. A lot of them
29:06
are adding AI tools. How does
29:08
that competition and cooperation work? Generally
29:10
speaking, it's a very strong cooperation.
29:12
I've actually been really impressed at
29:14
how collaborative the industry really is.
29:16
So the conversations with Studio One
29:18
was very, very positive, and we're
29:20
working with other doc partners as
29:22
well to bring that integration, and
29:24
it's been very, very positive. I
29:26
think there's generally a recognition that
29:28
we're good at what we do,
29:30
the kind of work that we
29:32
can do in terms of bringing
29:34
these sample packs to the world.
29:36
the global coverage, the high quality
29:38
or consistent high quality control process,
29:40
etc. It's not something that they
29:42
want to replicate. They want to
29:44
make great, you know, experiences inside
29:47
Ableton, the next feature. This is
29:49
not what they want to do.
29:51
I think the AI stuff is
29:53
new to a lot of people
29:55
in the industry. I come from
29:57
a core tech background. A lot
29:59
of the team that I've brought
30:01
in to Splice over the last
30:03
few years comes from a core
30:05
tech background. We have a lot
30:07
of expertise around that, which is
30:09
unique in some ways for the
30:11
music text space. So I think
30:13
there's a lot of respect around
30:15
that. I think there's an attractiveness
30:17
to a subscription business model that
30:19
has been difficult for this industry
30:21
to kind of adopt. And so
30:23
I think there's a lot of
30:25
curiosity about that. Like, can we
30:27
use a content business model to
30:29
get more recurring revenue? But I
30:32
think many people have found that
30:34
it's not as easy as it
30:36
looks, and they've struggled with it.
30:38
One of the things you say
30:40
about bringing people who have a
30:42
core tech background, that helps you
30:44
innovate in things like AI, I'm
30:46
sure, right, where you just need
30:48
to be on the cutting edge
30:50
of the technology. Tech in music
30:52
in particular have always just crashed
30:54
into each other. The thing I
30:56
say in the show over and
30:58
over again is if you pay
31:00
attention to the music industry and
31:02
what tech is doing to the
31:04
music industry, you have a view
31:06
into what tech will do to
31:08
everything else five years now. How
31:10
are you thinking about that dynamic?
31:12
Is it just for AI or
31:14
is there something else you're trying
31:17
to accomplish with the addition of
31:19
that talent? Innovation is really important
31:21
and when I look at the
31:23
music creation process, especially as an
31:25
outsider, I feel like these music
31:27
creators have been underserved with great
31:29
innovative experiences and I think it's
31:31
important to focus on the creative
31:33
workflow and provide people better tools
31:35
over time. When I think about
31:37
the collision between tech and music,
31:39
it's weird because there's actually more
31:41
similarity than dissimilarity inside Slice. We
31:43
have some really great software developers
31:45
who love music and music creators
31:47
in their own right. A whole
31:49
bunch of musicians and artists who
31:51
think in that same weird mathy
31:53
way that great software developers think.
31:55
So there's a lot of... similarity.
31:57
Surprisingly, there's a lot of similarity.
31:59
I also think that there's this
32:01
mindset out there that musicians are
32:04
scared of. technology scared of innovation.
32:06
I actually think that musicians love
32:08
hacking. They love trying new things.
32:10
You know, the, again, there was
32:12
all this threat around synthesizers and
32:14
all of that stuff, and then
32:16
Stevie Wonder took it to like
32:18
a totally different magical new plays.
32:20
I think artists love innovation, and
32:22
it allows them better tools to
32:24
get to the other place. Well,
32:26
they don't love this push button.
32:28
creation and I think if you
32:30
stay away from that if you
32:32
stay close to the creative process
32:34
you will find the right ways
32:36
to bring technology innovation here. I
32:38
think there's something else that you're
32:40
pushing on here that I think
32:42
is important and maybe it's one
32:44
of your decoder questions around how
32:46
do you bring the cultural mindset
32:49
from the tech industry and meld
32:51
it with the music industry and
32:53
is that a difference? Is that
32:55
a challenge? Yes, that's definitely where
32:57
I'm going. I might as well
32:59
ask you the decoder questions now.
33:01
You've been the CEO for three
33:03
years. How is Splice structured today?
33:05
How have you changed it? This
33:07
is the tech part. We are
33:09
fundamentally a product company first. So
33:11
my largest organization at Splice is
33:13
the product development organization, and that's
33:15
product managers, engineers, designers, and CX.
33:17
And what's neat about that is
33:19
I do keep CX very close
33:21
to product. That's customer experience. Because
33:23
I think that tight loop is
33:25
super important. Wait, customer, I just
33:27
want to be able to make
33:29
sure CX is customer experience? Customer
33:31
support. Customer support. Okay. So support
33:34
design, engineers, PMs. They're all in
33:36
one org and that's product dev
33:38
and it's our largest org. Our
33:40
second largest org is our content
33:42
team. And those are the people
33:44
that are going to Brazil, they're
33:46
going to South Korea, they're going
33:48
to India, they're recording these sounds.
33:50
It's our quality control department, it's
33:52
our data and ingesting and metadata
33:54
tagging groups. So that's the content
33:56
org. And maybe the third thing
33:58
that I'll point out that's really
34:00
important to me. how I structure
34:02
the org is we have a
34:04
very strong central data organization that
34:06
reports directly to me. So a
34:08
lot of people put that inside
34:10
product debt, but for me data
34:12
is important for content, data is
34:14
important for marketing, data is obviously
34:16
important for finance, and how we
34:19
run the business, it's important for
34:21
product. So I have that as
34:23
a central organization, and again it
34:25
reports directly to me. How big
34:27
is twice now? How many people
34:29
is it? A little bit less
34:31
than 200 people. And how is
34:33
it split between those three groups?
34:35
Product Dev is about, I don't
34:37
know, it's our largest org, maybe
34:39
80, 60, somewhere between there, and
34:41
then content is the next biggest,
34:43
and it's somewhere between 40 and
34:45
60. One of the really interesting
34:47
things here, again, it's a creator
34:49
platform for creators, which is just
34:51
an interesting dynamic. Other creator platforms
34:53
at scale, they say they have
34:55
investments in content teams, but they
34:57
really just... hope the scale carries
34:59
them forward. Instagram does not have
35:01
some huge content team that is
35:03
traveling the world to get content.
35:06
They just wait for people to
35:08
come to them. It's the same
35:10
with YouTube or TikTok or whoever
35:12
else. They might manage some of
35:14
their top influencers, but really the
35:16
volume of content comes to them.
35:18
Is that a tipping point that
35:20
you think Splice can reach or
35:22
do you want to maintain control
35:24
over the library? It's really important
35:26
for us to make sure our
35:28
library is the highest quality. that
35:30
it can be. So it's not
35:32
going to be a free for
35:34
all where anyone is uploading anything
35:36
they want because we need to
35:38
maintain that high quality. Especially in
35:40
the age of AI, right? There's
35:42
all kinds of stuff that's being
35:44
uploaded to all of these big
35:46
platforms. So it's never going to
35:48
be that way for us. And
35:51
so that's just a core investment,
35:53
right? It's a core piece of,
35:55
I think, your cost model. How
35:57
was Spice Organized before? Again, you're
35:59
three years into it. How have
36:01
you changed that structure? Is this
36:03
still largely the same or have
36:05
you re-oriented the company? So I
36:07
think the biggest change... has been
36:09
around, I would say it's around
36:11
three big ideas, Nille, which are
36:13
core to how I run a
36:15
business. The first is data. I've
36:17
brought in a lot more data
36:19
people. It's very, very critical. The
36:21
reason that's important for me is
36:23
because I need to understand what
36:25
are customers actually care about. So
36:27
how are they voting with their
36:29
clicks as opposed to whatever opinions
36:31
everybody else has? So that's a
36:33
big investment. The second is design.
36:36
That is really where data and
36:38
the math and the science turns
36:40
into something else, which is a
36:42
real experience that people can feel.
36:44
It's where the art becomes magic.
36:46
And the reason that's important is
36:48
because we're serving creative people. And
36:50
that's what creative people do as
36:52
well as they take all these
36:54
inputs. And then it turned into
36:56
something that didn't create. So building
36:58
a strong design team that is
37:00
either made up of music creators
37:02
themselves or people who spend a
37:04
lot of time with music creators
37:06
is really important. And the third
37:08
thing that I really brought in
37:10
that's important is that we build
37:12
our products with the customers. So
37:14
everything that we launched, there are
37:16
tools that we built in to
37:18
allow people to give us feedback.
37:21
In fact, When we launched Create,
37:23
the biggest button in the Create
37:25
experience was the feedback button. It
37:27
was weird, but it was important
37:29
for us. And every single time
37:31
someone typed in something to give
37:33
us feedback, it comes into a
37:35
slack channel that's with all the
37:37
designers and the engineers and the
37:39
product managers. And so we're actively
37:41
talking about the feedback from the
37:43
customers as it's coming in and
37:45
responding to it for the next
37:47
version. I love that. absolutely love
37:49
that we build product that way.
37:51
I think everyone should build product
37:53
that way. One of the reasons
37:55
I always ask about structure on
37:57
the show is that it's a
37:59
proxy for culture. You kind of
38:01
get what you get. You make
38:03
some big choices about how things
38:06
are organized and that leads to
38:08
a culture. You're an interesting spot.
38:10
you took over for co-founders. One
38:12
co-founder left, he was a CTO
38:14
in 2019. The other co-founder, Steve
38:16
Martocchi, he's the executive chairman now,
38:18
but he's off doing another startup.
38:20
How have you thought about changing
38:22
the culture, inheriting the culture, and
38:24
the balance between the two? The
38:26
reason I love your question around
38:28
structure is because I do see
38:30
that it's proxy for values. And
38:32
that's why I answered it the
38:34
way I did around data design
38:36
building with customers. Those are fundamental
38:38
values that I want to bring
38:40
and inculcate into the company. There's
38:42
something else that we also did
38:44
that was around building culture. I
38:46
spent a lot of time listening
38:48
to the team, trying to learn
38:50
what made this culture unique. And
38:53
then I reflected back to the
38:55
organization. Hey, these are the values
38:57
that I'm hearing from you all.
38:59
Do you think this captures it?
39:01
And we came up with something
39:03
that we call our disco values.
39:05
Direct, inclusive, spliced together, crater-centric, and
39:07
optimistic. And even though these are
39:09
new values that we came up
39:11
with after I joined, They have
39:13
felt so authentic to the culture
39:15
that we have. That's existed for
39:17
a long time, but it's given
39:19
voice to it. So disco is
39:21
something we talk about a lot.
39:23
Every single new employee that comes
39:25
on talks about which disco value
39:27
they resonate with most. We use
39:29
it in performance reviews. We do
39:31
use it for shoutouts. It's a
39:33
core part of who we are.
39:35
Second, the good question, which is
39:38
also in many ways a proxy
39:40
for culture and values, is about
39:42
decisions. How do you make decisions?
39:44
What's your framework? This is something
39:46
that I'm working on. I've always
39:48
been a very math and science
39:50
kind of person. I've always been
39:52
someone who's very analytical. I use
39:54
a lot of data. You know,
39:56
I have a framework for decision-making.
39:58
I study, you know, all the
40:00
different tools. for decision-making, but as
40:02
the decisions that, decision
40:04
sets that come to
40:07
me become more complex,
40:09
and as we operate
40:11
in an increasingly more
40:13
complex world, fires, politics,
40:15
etc., I have found myself
40:17
relying more and more on
40:20
intuition, and I think
40:22
balancing those two, so I
40:24
would say that my decision-making process
40:26
is I will drown myself. in
40:29
data. I will really get deep.
40:31
People know in my team that I spend
40:33
a lot of time on our dashboard. I
40:35
will spend a lot of time watching
40:38
research videos and understanding how people
40:40
are using our tools. I will
40:42
spend a lot of time personally
40:44
talking to different customers. I'm talking
40:47
to customers all the time. And
40:49
once I've kind of drowned myself
40:51
in all this information, I'll just
40:54
try to listen deeply. And usually
40:56
the answer is very clear. We
40:58
have to take another
41:01
quick break. We'll
41:03
be right back.
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42:28
Sierra, let's get moving. We're
42:54
going to put this into practice
42:56
because the making creative software for
42:58
creative people in the age of
43:00
AI is about as tense as
43:03
it gets in the balance between
43:05
here's what the numbers are telling
43:07
us and here's how the people
43:09
feel. And what I mean specifically
43:11
is the numbers are telling everyone
43:13
that people are using the AI
43:15
tools. Just down the line every
43:18
software maker I've talked to has
43:20
introduced AI tools as any meaningful
43:22
value. It says the users are
43:24
using them. They're clicking the buttons,
43:26
they're doing generative fill all day
43:28
long. I'm sure you see that
43:30
in your numbers too. And then
43:33
what you hear from the creatives
43:35
on social media or online or
43:37
in letters to Congress is, get
43:39
this out of my face, they
43:41
stole everything for me. And there's,
43:43
that is about as big of
43:45
a divide in tech, in culture,
43:48
in creativity, is I have ever
43:50
experienced. And I think that is
43:52
challenging a lot of how everyone
43:54
is going to make decisions. I'm
43:56
going to read you a quote.
43:58
from one of your ostensible competitors.
44:00
And it tracks with everything you're
44:03
saying, but I suspect you are
44:05
going to disagree with this quote.
44:07
And I just want to. sit
44:09
with that for a minute. Yeah,
44:11
let's do it. So you have
44:13
said, right, creators just want to
44:15
create, they want all this stuff
44:18
to get out of their way.
44:20
So here's the CEO of Suno,
44:22
Mikey Shulman. Suno is just push
44:24
a button, it makes you a
44:26
song, right? You say country song,
44:28
it just spits out of country
44:30
song at you. And here's what
44:33
he recently said. It takes a
44:35
lot of time, a lot of
44:37
practice, you have to get really
44:39
good at an instrument or really
44:41
good at a piece of production
44:43
software. I think the majority of
44:45
people don't enjoy the majority of
44:48
time they spend making music. It
44:50
is not really enjoyable to make
44:52
music now. Now I've made a
44:54
lot of music. I have no
44:56
idea what Mikey Shulman is talking
44:58
about. I think it's quite fun
45:01
to make music. But that does
45:03
track with what you're saying, right
45:05
with what you're saying. But he
45:07
spun the knob all the way
45:09
to just prompt me for a
45:11
song. And a lot of people
45:13
reacted to this quote very strongly.
45:16
Yeah. How do you sit in
45:18
the middle of that to say
45:20
there's a line and I'm going
45:22
to enforce the line and we're
45:24
not just going to prompt it
45:26
all the way to a song?
45:28
Also, do you think he's right?
45:31
Do you think people don't enjoy
45:33
making music? Here's what I have
45:35
learned by serving creative people who
45:37
create. It's not essential for everybody.
45:39
For the people who create, it
45:41
is a sacred experience. It is
45:43
a core part of who they
45:46
are. They can't not do it.
45:48
And there is a struggle, but
45:50
the struggle is to authentically translate
45:52
what is inside you into something
45:54
else. And sometimes... Your tools will
45:56
help you, will enable you to
45:58
do that, and other times your
46:01
tools will get in the way.
46:03
And understanding the distinction between those
46:05
two is the whole ballgame. But
46:07
it's really about allowing the struggle
46:09
to come to life, giving birth
46:11
to something. new is hard, but
46:13
it's profoundly important. And to dismiss
46:16
it by this push-button set of
46:18
tools is, it's insulting. It's dismissive,
46:20
it's reductive, and I think the
46:22
creative process and creative people deserve
46:24
better. They deserve better technology that
46:26
enables them as opposed to reduces
46:28
this profound activity to a button.
46:31
So this is where I think
46:33
the line is inherently qualitative, right?
46:35
Here's what we're going to do
46:37
and here's what we're not going
46:39
to do. And the tension of,
46:41
it's not really enjoyable music now,
46:43
you can describe that as using
46:46
the software sucks, or I just
46:48
want to have an idea and
46:50
hear it as fast as I
46:52
can. And then you can describe
46:54
it the way you're saying, which
46:56
is, there's some parts of the
46:58
struggle, which are the creative process,
47:01
which make the art compelling. It's
47:03
profoundly important. If the data tells
47:05
you that people really want to
47:07
just click the button and make
47:09
the music, are your values strong
47:11
enough to not send you all
47:13
the way down the road? I
47:16
think it depends on which people
47:18
you're listening to. We're really clear
47:20
about the people that we're listening
47:22
to. We are listening to creative
47:24
people who love the process of
47:26
music creation, that it's essential for
47:28
them. Yes, are there challenges, but
47:31
the challenge is the creative process,
47:33
right? That is the challenge. And
47:35
for those people... the signals are
47:37
really clear. They do not want
47:39
push-button creativity. In fact, like I
47:41
was sharing before, when we give
47:43
them create, when we gave them
47:46
create for the first time, they're
47:48
like, this is too simple, I
47:50
don't want this. I want something
47:52
that gives me more creative freedom,
47:54
more creative control. And so for
47:56
us to signal, the people were
47:58
listening to are super clear, and
48:01
the signals they're giving us, there's
48:03
no confusion in what they want.
48:05
The other side of this marketplace
48:07
is consumers. We see consumers and
48:09
fans all the time now react
48:11
very strong. to AI generated imagery
48:13
in particular. Yeah. You make a
48:16
movie poster and it's got a
48:18
bunch of AI in it. The
48:20
fans are gonna be. It's not
48:22
just Photoshop. That movie poster is
48:24
coming coming down. It's maybe different.
48:26
It's not in your face. You
48:28
can't see that the characters in
48:31
the movie poster have 12 fingers
48:33
and their hair bleeds into the
48:35
skyscraper behind them. It's not as
48:37
obvious, but it's there. Do you
48:39
perceive that? kind of consumer or
48:41
fan backlash to AI and music
48:43
the same way that we we
48:46
see it in visual art? We
48:48
haven't seen it yet. Here's what
48:50
I have seen. Here's what I
48:52
have seen. I have seen really
48:54
clear signal from our customers that
48:56
they are not really interested in
48:58
computer generated samples. Clearly not our
49:01
strategy. We are in fact investing
49:03
in more human-created samples, human-curated samples.
49:05
This is why we're sending people
49:07
out to the, you know, sort
49:09
of subgenre locations, talking to authentic
49:11
artists, getting their voices. It's really
49:13
important for our strategy to continue
49:16
to do that, because people want
49:18
to connect with the stories of
49:20
the real artists on the other
49:22
side of the sample. So that's...
49:24
really, really important and really clear
49:26
for us. I think what an
49:28
end user who is listening to
49:31
Serena Carpenter today and will listen
49:33
to somebody else's music tomorrow, what
49:35
they can hear is going to
49:37
be interesting and is going to
49:39
evolve over time. I love that
49:41
Kendrick Lamar won the Pulitzer Prize
49:43
for music and the first people
49:46
who won the Pulitzer Prize for
49:48
music and the first people who
49:50
won the Pulitzer Prize for music.
49:52
You know, when that award was
49:54
first introduced, it was a completely
49:56
different sound. What art is and
49:58
what is acceptable changes over. time,
50:01
I would expect it to continue
50:03
to change over time. So I
50:05
don't want to reflect on that.
50:07
I know that artists will use
50:09
different tools and they will use
50:11
AI-based tools, absolutely. At least on
50:13
the visual imagery side, there's a
50:16
lot of endless sort of feudal
50:18
discussion about watermarks and encryption and
50:20
letting people know when images were
50:22
edited by AI or created by
50:24
AI. I would not say that's
50:26
come to anything and I would
50:28
say there are some... deep and
50:31
meaningful challenges with even making that
50:33
technology work consistently. There's not anything
50:35
quite like that on the music
50:37
side. Do you think there should
50:39
be? I think it's going to
50:41
be really hard to disambiguate around
50:43
sound and around images, around video.
50:46
You know, you've done, you've had
50:48
some really great conversations about this
50:50
topic on your podcast. I've listened
50:52
to them. I think it's a
50:54
really important debate and discussion to
50:56
have. There is going to be
50:58
a bunch of bad AI generated
51:01
content out there. It's already happening.
51:03
It's going to happen with music.
51:05
I think that is toothpaste is
51:07
out of the toothpaste too. I
51:09
think as an industry, we have
51:11
to do the right thing around
51:13
respecting the right subcraters and doing
51:16
the right thing with respect to
51:18
training data, respecting credits. This is
51:20
work that has to happen. I
51:22
don't think it's solved yet. Maybe
51:24
some of these cases that are
51:26
open will help us get to
51:28
the right answer. But I don't
51:31
think it's going to come out
51:33
of order marking. You talked about
51:35
the flood of AI content that's
51:37
coming. We can all see it.
51:39
The big consumer platforms are embracing
51:41
it. I think to some extent
51:43
Mark Suckerberg would love it if...
51:46
all the content on Facebook was
51:48
AI and he was paying zero
51:50
out to creators. I think to
51:52
some extent YouTube is really leaning
51:54
into the idea that you should
51:56
interact with your favorite creators through
51:58
AI avatars. and that they should
52:01
make even more videos, or AI
52:03
should help them make even more
52:05
videos to increase the volume of
52:07
content that appears. That's all very
52:09
complicated. I don't know exactly how
52:11
it's going to play out, but
52:13
I understand the incentives for those
52:16
platforms to make those choices, to
52:18
say, we actually, what we want
52:20
always is more content because I
52:22
will create more attention and we
52:24
can serve more ads and we're
52:26
in this finite zero-sum attention game.
52:28
You're not in that game specifically.
52:31
You don't have those incentives. You
52:33
do allow artists to make music
52:35
with AI using your tools. Do
52:37
you allow AI generated samples to
52:39
enter your library? We do not.
52:41
We do not. Draw that distinction.
52:43
Why is it okay to make
52:46
music with AI but not to
52:48
have it in the sample library?
52:50
I think it's what users are
52:52
coming to splice for today. They
52:54
are coming to find those authentic
52:56
sounds made by humans. That's not
52:58
to say that people aren't using
53:01
AI to master. sounds or things
53:03
like that. You're using AI to
53:05
master your audio and video probably
53:07
here. I think those are tools
53:09
and that's fine as long as
53:11
there's an authentic artist artistic vision
53:13
and voice behind it. So that's
53:16
super important for us to continue
53:18
to be focused there. With respect
53:20
to these social platforms that you're
53:22
talking about, I think that's a
53:24
really important insight. And inasmuch as
53:26
these social platforms are important for
53:28
our creators as a way to
53:31
share their output, to share their
53:33
musical idea, they're really important for
53:35
us. But these social platforms have
53:37
grown because they allow people to
53:39
have emotional connection with each other.
53:41
You know, I'm really angry about
53:43
this particular issue or I'm reaching
53:46
out for support for these fires
53:48
in LA or... you know, these
53:50
connections that we make, and finding
53:52
support around this very specific, you
53:54
know, cancer that I have that
53:56
I can't find other people to
53:58
connect with online. If we
54:01
erode that, if we erode those
54:03
actual emotional connections between people in
54:05
order to save a buck and
54:07
paying out creators, I think the
54:09
value of these platforms will diminish
54:11
over time. And maybe that's okay.
54:13
Maybe we shouldn't spend so much
54:15
time on tech. Maybe we should
54:17
spend more time creating music on
54:19
our own. You know, so I
54:21
think these are really interesting evolutions
54:23
that are going to happen in
54:25
the industry. And as a mom,
54:27
you know, I care a lot
54:29
about where some of this stuff
54:31
goes. For Splice, and as a
54:33
CEO of Splice, my focus was
54:35
going to stay the same, which
54:37
is I'm focused on creators, I'm
54:39
focused on what they need, and
54:41
so many things our users create
54:43
just to hang out on their
54:45
desktop because it was just for
54:47
the joy of creating. And some
54:49
of it goes on and becomes
54:51
a, you know, top, billboard top
54:53
100 hit. Great, I'm happy that
54:55
that happens, but I'm just as
54:57
happy that someone is spending time
54:59
creating, and it just hangs out
55:01
on their desktop. Let me ask
55:03
that again in just a different
55:05
frame, because I want to push
55:07
on it. It feels important to
55:09
me. Yeah. We've talked a lot
55:11
about the active creation and what
55:13
the tools are for, and the
55:15
fact that your customers, artists, do
55:17
not want ready-made push-button songs. They
55:19
want controls. They want to add
55:21
something to what the... the computer-generated
55:23
product is giving them, right? They
55:25
want to add something to the
55:27
AI, they want to add something
55:29
to the samples, and that process
55:31
of addition creates additional value, right?
55:33
Some very important songs have been
55:35
made that way using Splice and
55:37
other tools. But you're saying that
55:39
is not a good enough argument
55:41
to get AI-generated audio into the
55:43
sample library, and I'm just wondering
55:45
why the difference? Because you could
55:47
make the same argument. Like I
55:49
use Splice to generate some samples,
55:51
I tweak them, I filter them,
55:53
I made a bunch of different
55:55
things. If it's good enough for
55:58
me to send to a major
56:00
label and play on the radio,
56:02
shouldn't it be good enough to
56:04
get into the Splice sample library?
56:06
distinction really in my mind and
56:08
I think for many of our
56:10
creators is that is it AI
56:12
generated or was AI used as
56:14
a tool to bring a human
56:16
creators idea to life? Do people
56:18
use technology to create the samples
56:20
that end up on splice? Absolutely.
56:22
People are using pro tools, people
56:24
are using synthesizers, people are using
56:26
lots of tools and technology. And
56:28
like I said, some of those
56:30
tools might be AI-based, like mastering
56:32
tools or mixing tools, things like
56:34
that. That is really different from,
56:36
I've created an algorithm to pump
56:38
out a whole bunch of samples
56:40
that are computer generated mass market.
56:42
Those are not going to end
56:44
up on Splice, I will guarantee.
56:46
But if there's an authentic user,
56:48
the Stevie Wonder of the AI
56:50
age, who is creating art, you
56:52
know, that they care deeply about
56:54
and they're using AI tools as
56:56
part of that process, absolutely. And
56:58
that distinction is very important. I
57:00
agree it's important. I just don't
57:02
know how to write it down
57:04
in a way that can be
57:06
consistently enforced across all the geographies
57:08
that you're operating in with all
57:10
of your teams going out in
57:12
the world. Or... in a way
57:14
that's understandable to artists who might
57:16
want to be part of Splice.
57:18
Is there a definition you have
57:20
of where the line is, of
57:22
how much AI is too much?
57:24
For me, again, I will take
57:26
it down to something very simple.
57:28
There's a human being who we
57:30
have a relationship with on both
57:32
sides of our platform. And so
57:34
on the side of the platform
57:36
where we are working with a
57:38
musician, artist, instrumentalist, who wants to
57:40
provide a sample. to Splice. We
57:42
actually have a relationship with them
57:44
and we talk to them about
57:46
what they're trying to do, what
57:48
the idea behind their label is,
57:50
what is their artistic... vision and
57:52
we will work with them. What
57:54
is your tool set? How are
57:56
you doing it? How many sample
57:58
packs do we need every quarter?
58:00
All of those kinds of things.
58:02
And some of those people are,
58:04
there's a Japanese potter who is
58:06
making handmade percussion instruments that he
58:08
then records that end up on
58:10
splice. That's a really cool part
58:12
of the process. And then we've
58:14
got like crazy kids. making all
58:16
kinds of super electronics, super grungy,
58:18
super sharp technical sounds, and they've
58:20
got a different tool set that
58:23
they're using as part of their
58:25
process. We're not going to tell
58:27
them, oh, you can't use this
58:29
tool because it's AI generated or
58:31
not, but do you have that
58:33
authentic vision for what you're creating?
58:35
And it's not that difficult to
58:37
tell the difference between. a person
58:39
who's creating that way and a
58:41
person who's like, I typed in
58:43
a bunch of prompts and have
58:45
got a whole, you know, plethora
58:47
of computer-generated sounds. The other extremely
58:49
challenging piece of the puzzle with
58:51
AI-generated content is when you veer
58:53
into impersonation, we've seen this in
58:55
the hip-hop industry a lot recently,
58:57
we've seen it with open AI
58:59
and Skellety Hansen's voice, there's a
59:01
lawsuit, the voice got pulled, who
59:03
knows how that's going to play
59:05
out. We see there's the Elvis
59:07
Act, I think, in Tennessee, where
59:09
impersonation is illegal and I don't
59:11
think there's a great answer for
59:13
whether Elvis impersonators themselves are now
59:15
illegal. Are you playing in that
59:17
space where you're letting people use
59:19
artist voices or sound-alikes? We're not.
59:21
I think there are lots of
59:23
people who are playing in that
59:25
space or interested in that space.
59:27
We are focused on creative people
59:29
and creative people are actually really
59:31
clear with us. They are coming
59:33
to Splice because they want to
59:35
find their authentic sound and so
59:37
we work. really hard at the
59:39
very other end of that, which
59:41
is how do we allow our
59:43
users to authentically find their own,
59:45
their own vibe? Voices is one
59:47
thing, right? They're pretty recognizable. The
59:49
Fake Drake song set the industry
59:51
ablaze. It was just very obviously
59:53
a Fake Drake song, or Drake's
59:55
voice. There's not a great legal
59:57
system for saying that's Drake's voice.
59:59
You can't use it. We'll get
1:00:01
there. It seems like we're on
1:00:03
our way to understanding how to
1:00:05
understanding how to get there. Then
1:00:07
there's... Kind of the existing mess
1:00:09
of music copyright. We talk about
1:00:11
the blurred lines case on the
1:00:13
show a lot I think more
1:00:15
than any other podcast We've talked
1:00:17
about blurred lines a song which
1:00:19
came and went and whose moment
1:00:21
is over But it continues to
1:00:23
come up on Dakota maybe once
1:00:25
a month That lawsuit was like
1:00:27
you guys stole a vibe from
1:00:29
Marvin Kaye Not notes not chords
1:00:31
anything direct, but the jury was
1:00:33
like the vibes are too close
1:00:35
Robin thickened for I'll have to
1:00:37
pay the money That's something you
1:00:39
could very easily see a user
1:00:41
of Splice wandering into. We're going
1:00:43
to prompt for a beat, we're
1:00:45
going to do a stack, we're
1:00:48
going to layer some samples, and
1:00:50
we're going to get to a
1:00:52
vibe that's too close to a
1:00:54
James Brown. Is that something you
1:00:56
worry about? Is that something you
1:00:58
try to protect users from? It
1:01:00
feels like a... conversation around reheated
1:01:02
nachos and what that means. And
1:01:04
I think artists and musicians build
1:01:06
upon each other's work. They're influenced
1:01:08
by each other. And you know,
1:01:10
this conversation's been around since the
1:01:12
beginning of sampling, right? Which is
1:01:14
how, what am I referring to
1:01:16
when I use this sample and
1:01:18
what's the story that I'm trying
1:01:20
to tell? You could argue that
1:01:22
it's derivative or you could argue
1:01:24
that it's an homage or you
1:01:26
could argue that it's building on
1:01:28
a shared piece of work that's
1:01:30
a community piece of work that
1:01:32
continues to evolve over time. I
1:01:34
think that that's what makes art.
1:01:36
and music in particular, super fascinating.
1:01:38
I love that you guys have
1:01:40
this whole debate around that particular
1:01:42
song. I think it's fascinating. I
1:01:44
think it's going to continue to
1:01:46
go. And what's right and wrong
1:01:48
should be defined by the artists.
1:01:50
But the idea that you would
1:01:52
accidentally boost too much of an
1:01:54
existing song by using an AI
1:01:56
tool, which is trained on bits
1:01:58
and pieces of existing songs. That's
1:02:00
a new danger, right? I mean,
1:02:02
the cycle you're talking about with
1:02:04
music, I agree, has existed since
1:02:06
music. We're all building on one
1:02:08
another. We're all lifting bits and
1:02:10
pieces. Great artists steal, everybody. Everybody
1:02:12
kind of understands it. And along
1:02:14
the way, there has been a
1:02:16
lot of litigation, right? That's the
1:02:18
other part of the cycle. The
1:02:20
push and pull is. people being
1:02:22
very unhappy about the money. And
1:02:24
now we're at a place where
1:02:26
it's easier than ever to be
1:02:28
derivative, and the money is absolutely
1:02:30
not clear, right? The artists are
1:02:32
very upset about their work being
1:02:34
trained on. Maybe not in your
1:02:36
tools, but certainly in other tools,
1:02:38
the labels are suing, Suno and
1:02:40
ODO, it's competitor, for training on
1:02:42
their data. Do you see that
1:02:44
resolving? Because it seems like the
1:02:46
problem is going to get worse
1:02:48
faster than the legal system, will
1:02:50
even comprehend the technology. Most of
1:02:52
these problems get worse before the
1:02:54
legal system catches up. I mean,
1:02:56
we know this. We know this
1:02:58
for privacy. We know this for
1:03:00
many areas. Technology outpaced how quickly
1:03:02
legislative action catches up. I think
1:03:04
in the music industry, we're doing
1:03:06
a lot of work to try
1:03:08
to create standards within. So we're
1:03:10
a part of a coalition of,
1:03:13
again, great companies in the music
1:03:15
space that are saying we've got
1:03:17
to... support ethical AI. We have
1:03:19
to support the rights of creators.
1:03:21
We have to make sure our
1:03:23
training data is clean. So I
1:03:25
think there are a lot of
1:03:27
companies that are trying to do
1:03:29
the right thing. Is there one
1:03:31
standard that has won out amongst
1:03:33
all the others? No, but I
1:03:35
know that a lot of people
1:03:37
are working. really hard on this
1:03:39
problem and we are too. We
1:03:41
care deeply about the rights of
1:03:43
craters. So that's going to stay
1:03:45
really important for us. How do
1:03:47
you feel about those the labels
1:03:49
suing Sun Oudio? Is that something
1:03:51
that's a warning sign for you?
1:03:53
Is that something you do support?
1:03:55
Do you think that that is
1:03:57
going to get resolved? I think
1:03:59
what the labels are trying to
1:04:01
do is support the rights of
1:04:03
the craters. Do I take one
1:04:05
side or the other? No. Ultimately,
1:04:07
it's always going to be about
1:04:09
the Quaders first. And I know
1:04:11
my customers deeply care about the
1:04:13
fact that they have rights to
1:04:15
the content they create using Splice.
1:04:17
That's why we allow people to
1:04:19
download the rights PDF. It matters
1:04:21
to people. Even if they're not
1:04:23
putting their song up on Spotify
1:04:25
or trying to make, you know,
1:04:27
a billion dollars from it, they
1:04:29
want to know that they have
1:04:31
the ability to do that. That's
1:04:33
what governs our decisions around clean
1:04:35
training data, ethical AI. If I
1:04:37
wanted to send up for a
1:04:39
splice account, download a bunch of
1:04:41
tracks, and then train my own
1:04:43
AI on them, is that allowed
1:04:45
in your license? It's not allowed.
1:04:47
And you spell that out. You
1:04:49
say you can't train AI on
1:04:51
these tracks. I bring this up,
1:04:53
and you probably don't. I'm going
1:04:55
to pre-apologize to you this question
1:04:57
because I know you haven't seen
1:04:59
this document, but just go with
1:05:01
it, is basically what I'm saying.
1:05:03
I'm asking that question. Just today,
1:05:05
I'm sure you haven't seen it,
1:05:07
but Google filed a letter with
1:05:09
the government basically saying, look, you
1:05:11
need to make an exception of
1:05:13
fair use to allow us to
1:05:15
train on everything. Open AI has
1:05:17
filed a similar letter in the
1:05:19
past few days. There's a big
1:05:21
push from the AI companies to
1:05:23
say, look, we just need the
1:05:25
stuff, give it to us. Like,
1:05:27
we don't want to pay for
1:05:29
this. It has to be fair
1:05:31
use. This is going to slow
1:05:33
us down too much. At the
1:05:35
same time, you're saying here in
1:05:38
our license, we're saying you can't
1:05:40
do that. Do you think that
1:05:42
can get resolved? That seems like
1:05:44
a big problem, right, where if
1:05:46
you steal enough of it, you
1:05:48
steal enough of it, you get
1:05:50
to. write a letter to the
1:05:52
government saying, write us an exception.
1:05:54
And if you steal a little
1:05:56
bit, you might end up in
1:05:58
court. And I don't know how
1:06:00
to resolve that. Yeah, I don't
1:06:02
either. It's such an important issue.
1:06:04
And the scale of the internet,
1:06:06
the scale of content on the
1:06:08
internet is so vast that what
1:06:10
is fair use, what is public
1:06:12
consumption, what is public record, what
1:06:14
is public ownership. We are an
1:06:16
uncharted territory and we're going to
1:06:18
be watching it just like you
1:06:20
are. How would you write a
1:06:22
fairer system if you were clean
1:06:24
sheeting this? How would you write
1:06:26
a fair system that makes creators
1:06:28
feel valued, gets them paid, and
1:06:30
still allows people to build these
1:06:32
AI systems that a lot of
1:06:34
people are getting some value out
1:06:36
of? I would love to say
1:06:38
that I'm the expert who could
1:06:40
write something like that. creative people
1:06:42
be creative and get the ideas
1:06:44
from their parts and minds out
1:06:46
there. Yeah, I'm gonna I'm gonna
1:06:48
leave that problem to people way
1:06:50
smarter than me who are legal
1:06:52
minds who are working really hard
1:06:54
on this. Well, if I get
1:06:56
anyone that show who has an
1:06:58
answer, I'll let you know. You're
1:07:00
a lawyer, right? I just talk
1:07:02
for living. I don't, I haven't,
1:07:04
I haven't done anything useful in
1:07:06
a long time. So what's next
1:07:08
for Splice is that we're going
1:07:10
to keep going deeper into the
1:07:12
creative process. I've been really public
1:07:14
about this with my blog posts
1:07:16
and all of that. Users keep
1:07:18
telling us, I love Splice, I
1:07:20
want to deeper in my creative
1:07:22
process. So whether it's these partnerships
1:07:24
that we're doing with Dawes, thinking
1:07:26
through how we build more creative
1:07:28
flexibility for users on our own
1:07:30
platform, whether it's with Create or
1:07:32
Splice Mike, there's a lot for
1:07:34
us still to do. And we'll
1:07:36
keep going down that path. All
1:07:38
right, we'll have to have you
1:07:40
back soon as some of these
1:07:42
issues play out. Thank you so
1:07:44
much for coming on. Dakota. I
1:07:46
would love to. I had such
1:07:48
an enjoyable conversation. Thank you so
1:07:50
much Neil. I'd like to thank
1:07:52
Alco for taking the time to
1:07:54
join Decoder and thank you for
1:07:56
listening. I hope you enjoyed it.
1:07:58
If you like to let us
1:08:00
know what you thought about this
1:08:03
episode or really anything else, drop
1:08:05
us a line. You can email
1:08:07
us at Decoder at the birch.com.
1:08:09
We really do read all the
1:08:11
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Decoder's Production the Virgin, part of
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the Vox Media Podcast Network, our
1:08:41
producers, our Kate Cox, Nick Stat,
1:08:43
our editor, is Ursa Wright. The
1:08:45
Decoder Music is Red Break Master
1:08:47
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