https://app.suno.ai/song/e5c4214b-5851-4ae8-876b-6a99f2ca878... https://app.suno.ai/song/0425b83a-2fa7-4944-9ed8-ba554bd42c3...

Here's rap about a duck trying to get chicken nuggets at McDonalds: https://app.suno.ai/song/27476a1c-ab35-4dbd-bf71-a9fa0aaa4de...

I don't see a way to make anything longer than 20-30 seconds though.. or is that limited by the lyrics?

Edit: with help of ChatGPT I got some more lyrics, but looks like this is as far as Suno.ai is willing to take it: https://app.suno.ai/song/1694f2a9-1375-4dc9-b523-33528aa308a...

Or just get creative, use the vocal remover to extend the background sound, cut and paste different parts of it using the good old DAW. By using this method, i managed to make several "full" songs :

https://soundcloud.com/sulfonilklorida/prompted-melodies

https://soundcloud.com/sulfonilklorida/tax-report

https://soundcloud.com/sulfonilklorida/dance-of-despair

https://soundcloud.com/sulfonilklorida/rebels-of-the-byte

https://soundcloud.com/sulfonilklorida/break-the-chain

https://app.suno.ai/song/a7469621-ae67-431a-8c5f-c4491994394...

That reminds me of Uberduck.

They've been working on the exact same problem as Suno (text -> TikTok format songs with lyrics and beat).

LMAO

You can hear some of the AI-generated songs here:

https://app.suno.ai/

‘Generated’ music: typing a prompt and pressing the RETURN key (time required: ~10 seconds)

‘Made’ music: thinking about melody, harmony and rhythm and writing down or programming in each from scratch. Choosing sounds and MIDI instruments. Experimenting with different effects, tweaking every parameter precisely and playing around (using your ears for feedback) until you find something you like. Finally, mixing the tracks together so the whole thing sounds cohesive. (time required: ~1 hour, min.)

To me, it seems hard to confuse the two processes.

You may very well argue that the ‘AI’ is doing something analogous to human music production (well… architecturally it isn’t, but you could at least argue it’s equivalent in some sense), but arguing that the human who typed the prompt ‘wrote the song’ seems to be… to put it lightly, rather overstating it.

A lot of the enjoyment of music comes from connecting emotionally with the artist. The artist had something to say based on their experience of life and adversity. You relate maybe because you've been there too. After all, you and the artist are both just human at the end of the day.

This is why for instance I have a hard time believing in AI girlfriends or AI therapists. It's not that I don't think that an AI could learn to be empathetic and say the right things at the right time, it's that I think there is something about you the human knowing it is an AI speaking that would make you not be able to connect. It's the knowledge that they haven't had any life experiences like you. They haven't had adversity or struggle.

> You don't have much control over what is being generated

I don't understand this nitpick at all. What part of "make" implies fine-grained control over the output? Parents didn't have much control over what's generated when a child is, but by any reasonable definition of the word "make", the baby that comes out is "made" by the mother and (to a lesser extent) the father!

> A lot of the enjoyment of music comes from connecting emotionally with the artist. The artist had something to say based on their experience of life and adversity. You relate maybe because you've been there too.

I think you might be assuming that your experience generalizes a lot more than it does. I've been a musician for decades, and I'm constantly listening to music, and I don't need to know who did what to be able to enjoy a song. To be clear, there's nothing _wrong_ with that being part of your enjoyment, but there's nothing wrong with just liking to hear sounds that sound "good" without caring about where they came from.

And there definitely are songs I feel I just enjoy in their own right.

As for 'make' I guess that just comes down to semantics.

I largely agree that if you don't know anything about music but generate some stuff with a very-high-level AI tool then you are unlikely to produce anything that resonates with people for any significant amount of time.

If you do know something about music (say, producer- or other-tastemaker level) and you replace the artists with an AI tool - you could have much better luck - but I'm curious there how much longetivity you get. Could you create the next star or the next trend or will the tools not have the ability to "break the mold" in ways that really connect to audiences and new generations without being used by newcomers themselves?

I feel like you're not really making a strong assertion here because of how subjective "resonates with people for any significant amount of time" is. Instead, I'd propose something akin to the Turing test; instead of conversing with someone and trying to determine if they're a computer or a human, the participant would listen to to a piece of music and try to guess whether it was made "traditionally" or by someone who used an AI tool and had no experience making music in any other fashion. I think we're not far from the point where it would be possible to generate instrumental music with AI that would be indistinguishable from a control set of human-created music (either instrumental or with the vocal track removed from the mix) with a certain level of complexity (let's say songs without changes in tempo, time signature, or key, which would give us at absolute minimum a few thousand popular mainstream songs over the past half century, and potentially a lot more). How long do you think it will take for this to be possible (if ever)? If you don't think it will ever be possible, why not? And if you do think it will be possible, isn't this sufficient evidence that there isn't any inherent need for a "human" element in music?

Ye is actually an endorsement of this because he’s absolutely a creative director more than a skill based musician. His best works are from leading others to greatness and building situations for that rather than skill in strumming a guitar or whatever

He started by creating great music.

Absolutely not the case for me. The artist is just a name and I often don't know what the song is called. I have zero interest in the "meaning". It's all about the melody/harmonics, beat and production value for me.

Regarding the connection with an artist - I think it’s overrated. I don’t really care about Lady Gaga life experience to enjoy her songs. I have no idea who created half of the songs on my Spotify playlist. Artists create brief virtual life experiences through their songs. Songs I like usually remind me about something I have experienced or would like to experience.

When it comes to chat therapy, it could be an interesting mode of self discovery. My only worry is if the goal is to attempt to replace therapists altogether.

A lot of the time people don't even know the name of them.

Because humans aren't actually doing the generating either, the answer gets clearer when the question is something like, "are you making music, or telling something to make you music?"

Replicators are a good analogy. Ordering a meal from a replicator doesn't make you a cook any more than giving Midjourney an order makes you an artist.

If you hatch a songbird, feed it, take care of it and later record it, then you’ve generated music.

If you resample it and arrange it into a new song, then you’ve added your input and made a new musical piece.

And sure, this can get blurry at times.

And when we look at great songwriters, do we need to know their educational background and what music they’ve listened to in order to determine how much of their work is created out of thin air versus arrived at by reasoning over theory and inspiration from other work?

In custom generation at least, when you tap Create, the button does not change or disable. So it's easy to use up credits on the same thing thinking that nothing ever happened.

Meanwhile, they all do get created on each tap and appear in your library.

There are some click artifacts, but this came out pretty well:

> The endless dark winter

> Icelandic choir dark electronica slow

https://app.suno.ai/song/a5c8e0c1-d4a0-42f2-8c7b-252b36f11d0...

https://app.suno.ai/song/bb87faff-4dd2-4906-8970-a695cbeb49d...

I would be the farm that eventually, every song output out of this to be the same.

Oh, I love me some Phil Collins too.

More tools to make the universal language is a good thing.

https://app.suno.ai/song/cb52391f-01ed-4df2-85a3-4c78ec5c2de...

"slow pop song with synth and plucky strings about being alone on the holidays"

(I can make plenty of guesses myself, so I'm most interested in hearing informed replies with references rather than speculation.)

It's effort.

One issue I encountered was this song: https://app.suno.ai/song/f128bc8e-a328-467d-9c3b-b2208acca2b...

Which generated lyrics but doesn’t actually sing it, oddly enough!

I wonder what open sourcing it would be like.

In any case, support for utilizing existing artists would for sure explode the platform, both in quality and in traffic.

https://app.suno.ai/song/650b54ec-b349-447c-9219-d461e4b5282... https://app.suno.ai/song/0742dd0a-a52f-4491-b61b-5289b533d1b... I am entertained that it made the mistake of turning a direction ("put sleigh bells in the background") into the lyric, with backing singer saying "Klingelingeling"

I think the low 'hit' rate might be turning off some people, but I'm happy to audition through 10 songs to find a single good one.

I hadn't been following the state of audio generation with AI, but this definitely feels like a breakthrough moment for me, just as image generation did, and chatgpt.

I'm a video-game developer, so can imagine using this now and then for quick jam games.

Anyway, cool cool stuff!

The mass will filter through this by popularity.

And good people/artists will be able to learn faster, more and iterate faster over ideas.

For everyone else who actually doesn't care that much, they will get similar content cheaper.

After all there are so so many people watching normal TV daily with a ton of advertising or blindly radio which delivers the same top 50 list over and over.

> only works created by a human can be copyrighted under United States law, which excludes photographs and artwork created by animals or by machines without human intervention ... Because copyright law is limited to 'original intellectual conceptions of the author', the [copyright] office will refuse to register a claim if it determines that a human being did not create the work. The Office will not register works produced by nature, animals, or plants

The extension of this to AI would be saying basically that the copyright office simply wouldn't extend copyright of an AI created work to any party.

In the case of one of these songs, though, if you wrote your own lyrics, you would still have the copyright to those lyrics, if not the full piece of music generated from them.

[1] https://en.wikipedia.org/wiki/Monkey_selfie_copyright_disput...

There may be an open source version of Suno somewhere but this will do.

Most of the music on Suno is really indistinguishable from music that has been made by humans, but doesn't really matter to me anyway.

The TTS needs a bit of improvement but nonetheless, great work from Suno.

Think about all the hard work that traditionally goes into composing a single title. Artists will spend days, weeks and sometimes months trying to iterate on ideas. Writing, composing, demoing, tracking and recording, mixing, etc. Think about all of the expensive software and hardware that goes into this process (instruments, microphones, studios, DAWs, VSTs, etc). It's an expensive and difficult process, it's very manual, very sequential.

This could easily be used to speed up that iterative process. Just ask this software to generate 100 ideas for your next bridge, and iterate that way.

The Blue Jean Committee "Catalina Breeze"

https://www.youtube.com/watch?v=PfrHCNo2I3M

The Shaggs - Philosophy of the World

https://www.youtube.com/watch?v=thHcvTDGWvg