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".
One thing I’ve always wondered - what happens if/when fans want to see these AI bands live? Or will this be the «sorry we don’t play live» era? Or maybe if something goes viral, one has to hire in musicians that can play/sound close enough?
Anyway, I liked the sound of the instruments better in the demo/first versions. Sounded less mushy.
I like experimenting with suno. This is the only way for me to create music. I do not have time to learn fruity loops, or something.
Most of the lyrics are generated using chatgpt, but I often force it to have some parts of chorus, and there are many 'themes' I want the song to have.
So I play with lyrics, play with tools, and sometimes I am surprised by the final effect.
I created also a concept album. Folk metal about technology and fantasy. That is how "PC goblin", or "Trolls in the motherboard" were created. Some parts of songs are better than other, but in reality I see not so many other songs exploring that niche tech-fantasy area.
The other time I created power metal fantasy album, about AI and end of times. It was really a fun time for me.
I upload these videos to youtube, expecting no views. Unexpectedly shorts get views. I am not sure why. Probably youtube forces any shorts it can find to users.
I’ve got a friend who sends me happy birthday wishes using Suno. I hate it. I love the friend though.
It feels a bit like watching an old movie where the scene drags for no reason and the background’s kinda off, but you still enjoy it. Then you go watch Netflix and everything is smooth, predictable, perfect, and somehow super boring.
I honestly like your version more, with all its imperfections. Feels more alive.
Really intriguing use of Suno.ai, generating AI-backed demo tracks to accompany your album feels like a reverse collaboration.
What stands out is how this method reframes demos—not just rough pre-production but fully formed creative statements in themselves.
Curious: for anyone working with AI in music, does this shift in workflow change how you iterate creatively? And how do you balance AI-generated backbone with your own unique touches?
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[ 19.2 ms ] story [ 30.2 ms ] threadThose demos have soul. The AI versions don't.
They succeed in some ways at capturing the human emotion in the demo, and fall flat in other ways.
It's not any worse than a human cover by a skilled but uninspiring human artist.Depending on how you evaluate, it's either amazing it gets this far, or not impressive at all. :-)
I'd add the demos to my playlist, I wouldn't add the others. (I'm not against AIs in general.)
Anyway, I liked the sound of the instruments better in the demo/first versions. Sounded less mushy.
The AI vocals still feel too "easy listening" and smooth in general though.
It works great for mastering the instruments though, I wonder if it'd work better using it just for that with the original vocals.
Even if they were, what would be the point? If AI can copy any music, why would your copy be better than any of the infinitely many others?
Most of the lyrics are generated using chatgpt, but I often force it to have some parts of chorus, and there are many 'themes' I want the song to have.
So I play with lyrics, play with tools, and sometimes I am surprised by the final effect.
https://www.youtube.com/shorts/Q2FiqrppN4g
I created also a concept album. Folk metal about technology and fantasy. That is how "PC goblin", or "Trolls in the motherboard" were created. Some parts of songs are better than other, but in reality I see not so many other songs exploring that niche tech-fantasy area.
The other time I created power metal fantasy album, about AI and end of times. It was really a fun time for me.
I upload these videos to youtube, expecting no views. Unexpectedly shorts get views. I am not sure why. Probably youtube forces any shorts it can find to users.
It feels a bit like watching an old movie where the scene drags for no reason and the background’s kinda off, but you still enjoy it. Then you go watch Netflix and everything is smooth, predictable, perfect, and somehow super boring.
I honestly like your version more, with all its imperfections. Feels more alive.
What stands out is how this method reframes demos—not just rough pre-production but fully formed creative statements in themselves.
Curious: for anyone working with AI in music, does this shift in workflow change how you iterate creatively? And how do you balance AI-generated backbone with your own unique touches?