I would love for someone to make this type of post but switch which songs were AI and which are human created. I would bet there would be people saying the humnan-created songs were soulless and the AI songs had that "je ne sais quoi".

Right now all AI songs I've heard have this dead emotion to it that makes me cringe a lot. This crispness of the vocals also don't match the song at all, I'm surprised the author didn't mention this.

I'm wondering if we'll ever reach a point where the differences you listed truly become indistinguishable.

Eh, I felt the soul more in Suno’s version, especially the second song.

> I hate it. I love the friend though.

Have you mentioned it to them? Presumably you can be honest about it with such a friend. I’m curious as to how the conversation went and what you both learned.

"This is the only way for me to create music."

You're not creating music.

It feels incongruous to read that you don't have time to learn a DAW, or an instrument, but you have time to upload to YT, in multiple formats, and compare outcomes between shorts/vids?

Small pockets of free time can go a long ways: putting in 15-30 minutes a day towards learning something new will produce tangible results.

Learning to create music is such a multifaceted pleasure: exploring tooling and mechanics, integrating somatic processes (feeling it!), investigating theory and history, increasing execution incrementally, exploring and expressing emotions+ideas, and maybe, eventually, conveying those emotions and ideas to listeners? What richness!

The Suno->Youtube pipeline feels like an attempt to experience a watered-down version of the conveyance bit, at the expense of the rest.

Suno is incredibly fun. I've realized there's ton of lyrical and topical niches that nobody is exploring in the music space, so AI generated tools are really good at helping you scratch your own itch. The iterative loop still feels like it has a lot of room for tightening up, especially when you want to start refining minor details to match more closely with the idea you have in your head.

Personally, I had some experience learning to compose music from a college course, and I've been trying to relearn some of what I'd forgotten by trying out this textbook: The Complete Musician, but progress is slow. And even if I'm able to put together a musical piece, I wouldn't be able to afford hiring the people needed to bring it to life.

I wonder how far we are from AI tools where you can just start describing and humming your idea out, and it'll give you samples that can be mixed in real time. Sort of like being in a studio with a full support staff of professionals with a lot of improvisational experience. Vibe mixing and composing in real time.

> This is the only way for me to create music. I do not have time to learn fruity loops, or something.

Maybe try physical instruments, I've got a few synths, an acoustic guitar, a few weird microtonal flutes, I don't know any music theory or how to properly play them (I don't even use the fretboard on the guitar, just the strings themselves) but I know what sounds good to me and can get some really interesting stuff just mucking around with them. No doubt you can achieve something similar with software instruments too, I've just never found any that feel as immediate as physical ones.

I'm a bit biased against AI music, but I still believe even if you enjoy it that actually making something yourself that sounds good is more satisfying than prompting an agent to do it. Maybe that's because you do learn something each time even if you don't intend to, or maybe it is just my bias about AI music, but might be worth a try

You keep using the word “create”, but did you really create any of it, or did you commission someone else (which happens to be a machine) to generate it as they saw fit, with some minor guidance?

Let’s say LLMs and generative AI did not exist and your chat sessions were with a human. Could they not have delivered the same (albeit taking a bit longer)? Would you also have claimed you had “created” the music then? Basically the difference here is that with AI you can take the credit without the other party complaining.

I’m glad you had fun. Nothing wrong with playing with a toy and entertaining yourself. But to claim you created something while simultaneously brushing off taking the time to learn the skill doesn’t quite feel right. Like saying “I made this table. I don’t have the time to learn carpentry or something, so I asked a guy to do it for me. I did specify it needed four legs and a back, though, so I did it”.

How do you think it works currently when artists who make highly edited music perform live? And I guess if Gorillaz and Hatsune Miku can do concerts, this isn't really a problem.

Holograms is one solution that is already being used, see also:

https://en.wikipedia.org/wiki/Virtual_concert

Example:

https://en.wikipedia.org/wiki/ABBA_Voyage

It’s pretty standard for electronic / sample based music acts to have live bands assembled for touring after the completely sequenced studio album takes off. It’s a hit or miss depending on how well the musicians can reinterpret the source material.

We’re probably already at the point where we can create covers of your favourite song by your favourite band but from a different genre!

lol

This is actually subtle, funny, and insightful commentary. To me it says, "just as AI-written text is characteristic, annoying, and hard to miss, so too is AI-generated music." Not sure I necessarily agree, but I get it.

Makes me wonder how often A.I. will be used by creative people to write themselves out of the equation voluntarily because they are self-critical or have imposter syndrome