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If you actually know some of the languages and you realize they are just singing jibberish (much worse than actual real songs), it's impossible to listen to. The instrumental ones can be great.
https://www.youtube.com/watch?v=6bNMxWGHlTI
Cuando para mucho mi amore de felice corazón...
The real potential of tools like Suno isn’t in cranking out radio-ready hits. It’s in creating music that doesn't have commercial incentives to exist. Case in point: Functional Music. I started using it to generate songs that reinforce emotional regulation strategies -things like grounding, breathwork, staying present. Not instructional tracks, which would be unbearable, but actual songs with lyrics that reflect actu…
Still, I’m excited about the product. The composer could probably use some chain of thought if it doesn’t already, and plan larger sequences and how they relate to each other. Suno is also probably the most ripe for a functional neurosymbolic model. CPE wrote an algorithm on counterpoint hundreds of years ago!
https://www.reddit.com/r/classicalmusic/comments/4qul1b/crea... (Note the original site has been taken over, but you can access the original via way back. Unfortunately I couldn’t find a save where the generation demo works…but I swear it did! I used it at the time!)
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It's probably just the lyrics, not the musical content. Popular music is mostly the same. It's clever lyrics and good meter that's more important imo. You can just dump something in from GPT or use Suno for it, but unless you spend some actual time on lyric composition, it will absolutely be campy as hell.
Suno songs also sound really poor from a technical perspective. The high end of the frequency spectrum is always very washy, reminiscent of the days of 128kbps mp3s. It sounds ok in isolation but it's very noticeable when it's thrown into a playlist of professionally mixed/mastered music.
I have a feeling that’s by design. Firstly for computation purposes, secondly to avoid someone making a studio-quality deepfake song.
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AFAIK the lawsuit is still ongoing. Suno admitted to train their models with copyrighted music and are now defending the position that music copyrights and royalties are bad for the future of music.
I think it's more straightforward to argue it's transformative fair use.
The real potential of tools like Suno isn’t in cranking out radio-ready hits. It’s in creating music that doesn't have commercial incentives to exist. Case in point: Functional Music. I started using it to generate songs that reinforce emotional regulation strategies -things like grounding, breathwork, staying present. Not instructional tracks, which would be unbearable, but actual songs with lyrics that reflect actu…
The real potential of tools like Suno isn’t in cranking out radio-ready hits. It’s in creating music that doesn't have commercial incentives to exist. Case in point: Functional Music. I started using it to generate songs that reinforce emotional regulation strategies -things like grounding, breathwork, staying present. Not instructional tracks, which would be unbearable, but actual songs with lyrics that reflect actu…
https://music.apple.com/au/album/breath-of-the-cosmos/175227...
https://open.spotify.com/track/0mJoJ0XiQZ8HglUdhWhg2F?si=tID...
Earlier quoted context omitted.
But why would I ever want to listen something generated by someone else when I can just generate infinite amount of the same stuff myself?
Because it sounds good, you can do both.
Personally, I have little interest in typing a text prompt and getting a complete song as an output. However, I will gladly pay serious money for a tool that interactively collaborates with me in a granular, iterative process of generating, adjusting and mixing individual instruments and sections toward a finished multi-track song project. Allow users to creatively engage by providing suggested starting places in the…
Honestly I don't think Suno knows who's supposed to be using their product. There's valid use cases for typing a text prompt and getting a song with zero fuss: background music in YouTube videos or corporate training videos, intro music for events (Starcraft fans know the ASL has been abusing Suno songs for a few seasons now), an AI-generated playlist running in the background in a cafe, etc. But those use cases don'…
Yeah, AI music gen is super fun to play with for a half-hour or so - and it's great when I need a novelty song made for a friend's wedding or special birthday - like, once a year maybe. But neither of those seems like a use case that leads to sustainable, high-value ARR. I'm starting to wonder if maybe most AI music generation companies ended up here because AI researchers saw a huge pile of awesome produced content that was already partially tagged and it looked like too perfect of a nail not to swing their LLM hammer at. And, until recently, VCs were throwing money at anything "AI" without needing to show product/market fit.
I'm not sure they fully thought through the use case of typical music listeners or considered the entrenched competition offering >95% of all music humans have ever recorded - for around ~$10/mo. As you said, another potential customer is media producers who need background tracks for social media videos but between the stock music industry offering millions of great tracks for pennies each and the "Fivver"-type producers who'll make a surprisingly good custom track in a day that you can own for $25 - I'm not seeing much ARR for AI music generators there either.
Currently the launch hypothesis of AI music generation puts them in direct competition against mature, high-quality alternatives that are already entrenched and cheap. And those use cases are currently being served by literally the best-of-the-best content humanity has ever created. Targeting replacing that as their first target seems as dumb as a SpaceX setting "Landing on Mars" as the goal of their first launch. There's no way to incrementally iterate toward that value proposition. Sure, targeting more modest incremental goals may be less exciting, but it also doesn't require perfection. Fortunately, music producers have needs that are more tractable but still valuable to solve - and not currently well served by cheap, plentiful, high-quality alternatives. And music producers are generally easier to reach, satisfy and retain long-term than 'music listeners' or 'music licensers'.
The biggest impact Generative Music had on my life was for wedding skits. Families that wanted a funny song about the bride filled with anecdotes didn't need talent anymore. The first time I heard it, it was incredible. The 2nd wedding that did it, it started to feel boring. The 3rd time, everyone hated it. Similar to image-generation, we're getting tired really fast of cookie-cutter art. I don't know how to feel abo…
AI art is like dreams. I'm amused by my own but never want to hear about anyone else's.