Been playing around with Udio lately and I’m curious what everyone here has managed to create.
What’s your best track so far?
Always interesting to see what people are getting out of the same tool. I’ve stumbled on some surprisingly good stuff just browsing around.
Drop your favorite creation if you want, I’d love to listen.
Deezer says AI music is already ~44% of all uploads now… but almost nobody is actually listening to it.
According to their latest report:
But the weird part is:
AI music only accounts for something like 1–3% of total streams.
And apparently a big chunk of AI-related streams get flagged as fraud or botted, so Deezer is already demonetizing a lot of it and even pushing it out of recommendations.
What really stands out is the gap between creation and attention.
We can now generate music at basically unlimited scale, but listening time hasn’t changed. So most tracks just disappear into the noise without ever being heard.
As someone who both creates and listens to AI music, I’ve also started noticing something else:
It’s getting harder to find spaces where AI music can just be shared and listened to without instant bias or dismissal.
Lately I’ve been spending more time on Suno and Musicful, just browsing the showcase section and listening to what people are making.
Some of the tracks I’ve found there are actually really good. Not “good for AI music”, just good music, period. Stuff I’d actually keep in my playlist.
I’m not a musician or producer, just someone who likes discovering music. And it honestly feels like there are a lot of good ideas getting buried under the sheer amount of uploads.
Curious how others see this:
Do you think AI music is getting easier to make, but harder to actually get heard?
I’ve been thinking about this a lot while using AI music generators.
Right now, most tools (Suno, Udio, Musicful etc.) are incredibly good at producing something that sounds like a song. But we also tend to immediately treat that output as if it should already be a finished, release-ready track.
That expectation feels a bit mismatched.
In traditional music creation, a “song” goes through multiple stages—idea, structure, arrangement, performance, production, mixing, mastering. Each layer adds intent and refinement. But AI tools compress all of that into a single generation step.
So we end up in this strange middle space:
Maybe the issue isn’t that AI music is “not good enough,” but that we’re applying a finished-product lens too early in its evolution.
It might be more accurate to think of these tools as idea generators or sketch engines, where the real creative work happens after generation - selecting, editing, re-structuring, and building meaning on top.
Otherwise, we get stuck in a loop where we either overhype raw outputs as finished art, or dismiss them because they don’t meet full production standards.
So I’m curious what others think:
Are we forcing AI music tools into a “finished product” mindset too early, instead of treating them as part of a longer creative workflow?
I run a YouTube channel where I post AI-generated music and MVs, mostly using tools like Suno and Musicful, and lately I’ve been thinking about something a lot.
With traditional music, there are so many layers where feedback naturally exists. People can comment on the performance, vocal delivery, arrangement, mixing, sound design, emotion, timing, all that stuff. Even if someone isn’t a musician, they can still say “the vocals feel flat” or “the drums are too busy” or “the chorus hits harder than the verse.”
But with AI music, most of those layers either disappear or become invisible.
There’s no real performer to critique, no instrumentalist making expressive choices, no vocalist intentionally controlling emotion or phrasing, and usually no detailed production process people can actually analyze. Even if you wrote the lyrics yourself, that’s still only one part of the final output and honestly lyrics alone don’t always get much feedback in regular music either.
So I’ve been wondering what kind of feedback people actually expect in AI music communities now.
A lot of the time the only response AI music gets is basically “it’s AI,” which usually isn’t useful feedback at all. It just turns into a negative reaction instead of actual musical discussion.
And the funny part is, even human-made music with tons of real creative effort behind it often gets almost no meaningful feedback either.
So I guess my question is: in AI music communities like this, what does “useful feedback” even look like anymore?
I really thought it would keep improving over time, especially with newer models rolling out, but honestly it still feels pretty inconsistent.
Memory is hit or miss, and characters often drift off pretty quickly in longer chats. It just doesn’t feel as stable or “alive” as I expected it to be by now.
Not trying to hate on it, I just genuinely hoped the newer updates/models would make a bigger difference.
Maybe it still has potential, but right now it feels a bit stuck.
Anyone else feeling the same? Or am I just expecting too much from it at this point?
I’ve been using AI music tools like Udio, Suno for a while, and I keep running into something I can’t really explain.
When I first started with it, the results felt insanely good. I was getting impressive tracks all the time and it honestly felt like “wow, this is way better than I expected”.
But over time, especially as I started using Suno and Musicful more regularly for running my YouTube channel, the experience started to feel a bit different.
It almost feels like there is a kind of front-loaded effect, where the early experience feels more impressive, and then things slowly settle into something more normal once you use it more often.
I’m not sure what’s actually going on. It could just be novelty bias, or maybe early usage just has lower expectations. It could also be randomness or sample size at the beginning.
But since I’ve been using these tools much more frequently now for YouTube content, I feel this pattern more clearly than before.
Curious if others who use these tools long-term have noticed the same thing, or if you feel the quality stays pretty consistent over time.
I’ve mentioned this in a couple posts before, but I’ve been sitting with a feeling lately and wanted to share it.
I’ve been using Suno and Musicful for a while to create AI-assisted music, and sometimes I also turn them into simple MV-style videos for YouTube. It started pretty casually, just curiosity and fun, but over time it became something I kept building on more seriously.
What surprised me most is the community around it.
Every time I’ve posted here, I’ve gotten really thoughtful feedback and practical advice that genuinely helped me improve my workflow and sound direction. I’ve learned a lot from people here, and I really appreciate that.
Recently, my channel started getting a bit more traction. Nothing huge, but enough that I noticed more consistent listeners and engagement.
And then something happened that stayed with me.
One listener commented that she had been going through a really difficult and sad day, and somehow came across my song. She said that for a short moment, it helped her feel a bit lighter, gave her some comfort, and even brought her a small amount of energy to get through the rest of the day.
I don’t really know how to describe how that felt, but it honestly made me really happy and a bit emotional. It reminded me why I started making music in the first place.
I’ve also seen the discussions about AI music not being “real music.” I understand that perspective.
But for me, what feels real is the emotion in it and the emotion it brings out in others. The feelings I put into the music are real, and when someone connects with it, that also feels real to me.
That exchange feels very human.
Just wanted to share this small moment. Even if the process is unconventional, the connection it creates feels genuinely meaningful to me.
Suno / AI music creators, I’m curious where you’re uploading your music these days and how your monthly listeners are actually looking.
I’ve been experimenting with AI music using tools like Suno and Musicful, and I’ve been uploading some of my tracks and music videos to YouTube. I’ve managed to build a small audience there, but the numbers are still pretty modest at this point.
I’ve started wondering how other people in this space are distributing their tracks beyond just Suno. Are you mostly sticking with Spotify, YouTube, SoundCloud, or pushing to multiple platforms at once?
Also genuinely curious what kind of monthly listener numbers people are seeing right now. It feels like results can vary a lot depending on genre, consistency, and how you position the “artist,” not just the music itself.
Would be great to hear what’s been working for you and what hasn’t.
It feels like AI music gets instantly labeled as “fake,” “lazy,” or just “trash” the moment people hear it, without much actual listening.
But at the same time, I keep hearing very similar AI-like textures, vocal processing, and fully digital production styles in mainstream commercial releases, and nobody really questions it there as long as it’s tied to a known artist or big label.
So the standard doesn’t really seem to be about the sound itself. It’s more about who made it or how it’s branded.
And honestly, a lot of people still just assume AI music is automatically bad without even thinking about it (not joking, I post tracks and videos made with Suno and Musicful on my YouTube channel, and even my better-performing stuff still gets comments that are just straight-up dismissive or hostile toward anything AI-related).
I might be overthinking this, but I had to ask people who also use Suno / AI music tools.
Was listening to Chris Brown’s new album on Spotify and something immediately sounded off in a way I can’t unhear.
A few tracks have that very familiar Suno-like texture: slightly unclean stems, faint noise haze, synthetic background vocals, and that “too polished but still not quite natural” feel.
Chris Brown’s album is just one example, but I’ve started noticing similar things in other mainstream releases too.
I use AI music tools like Suno and Musicful pretty regularly for my own YouTube projects, so I’m very familiar with that sound.
What’s interesting is that people often dismiss AI music as something obvious or low quality… yet I keep hearing very similar textures in professionally released mainstream albums, just more subtly done.
Not saying anything definitive, but it does feel a bit ironic.
Curious if anyone else who uses these tools is hearing the same thing, or if this is just pattern recognition bias.
I have been trying a lot of AI music tools recently, including Suno, Musicful, and others, just to see how far things have come.
Some of them are really impressive in terms of speed, creativity, and how easy it is to generate ideas.
But after all of that, I still keep coming back to Udio.
There is something about its sound quality and overall character that feels more cohesive and more “finished” compared to most other tools.
Other platforms often feel like they generate interesting ideas, but the final output can feel a bit more generic or less polished to me.
Udio on the other hand has a certain depth that makes tracks feel more like real songs rather than just AI outputs.
I am curious if others feel the same way, or if you think newer tools have already surpassed it.
Just wondering if anyone else still feels the same, or if you have fully moved on to other tools.
I have been thinking about something while exploring AI music in communities like this.
When people react to AI generated music, it often feels like there are two different ways of judging it.
Some people focus on how the music is made. They care about whether it is AI, whether it feels authentic, or whether creativity is really involved.
Other people focus more on the final result. If the song sounds good or if it creates emotion, they tend to judge it in the same way as any other music.
I am starting to wonder if we are even talking about the same thing when we say AI music.
Sometimes a track is already labeled as good or bad before people really listen to it, just because it is made with AI. I run a YouTube channel where I regularly upload AI music I create with Suno and Musicful, and honestly, I run into this all the time.
So I would really like to ask everyone here. Do you personally separate the tool from the final music when you judge it Or do you think the way it is made should always matter.
And do you think AI music should be judged differently from traditional music or not
I am not looking for a right or wrong answer. I am more interested in how different people think about this
I’ve been thinking about this a lot after spending time with AI music tools like Suno, Musicful and Udio.
It really does feel like the process of making music has changed completely. You can go from a simple idea to a fully produced track in minutes. You can explore genres you’ve never worked with before. You can generate variations faster than you can even listen to them.
But at the same time, something important hasn’t changed at all.
Humans are still the ones defining what the output actually becomes.
AI can generate endless possibilities, but it doesn’t decide what a track is meant to be. It doesn’t decide what feels finished, what feels meaningful, or what actually represents an idea worth sharing.
That part still comes from us.
And in a way, the more AI speeds up generation, the more obvious this becomes. The bottleneck isn’t making music anymore, it’s shaping it into something intentional.
So I’m curious how others here are experiencing this shift:
Would love to hear how people are actually using these tools in practice, not just what they generate.
I just wanted to take a moment to say thank you to everyone in this community.
My last post received way more song shares than I ever expected and I honestly spent a lot of time listening through them. There were so many incredible creations creative emotional cinematic experimental and everything in between.
What really stood out to me was not just the sound itself but the feeling behind each track. You could really hear the emotion memories and thoughts that people poured into their work. That kind of intention gives the music so much life and it genuinely pulled me in more than I expected.
Some tracks made me pause some surprised me and a few honestly stayed in my head long after listening. It reminded me how powerful AI music becomes when it is guided by real human expression.
Just wanted to sincerely say thank you again for sharing your work and energy here. It has been really inspiring to listen and be part of it.
I didn’t expect it at all, but AI music slowly went from “just trying it out for fun” to something I actually open pretty often.
At first it was just quick experiments and random ideas. Now I find myself using it to sketch full concepts, explore directions, and get unstuck when I’m creatively blocked. I still don’t always finish full tracks with it, but it’s definitely part of my workflow in a way I didn’t plan for.
I started more with Udio, but lately I’ve been using Suno a lot more.
Curious if anyone else feels the same. Did AI music become something you actively rely on, or is it still just an occasional toy for you?
I swear people in this community are making some insanely good and creative music lately, and now I’m really curious what everyone has been working on.
So share your favorite AI-generated song here. It can be something emotional, cinematic, chaotic, funny, experimental, or just a track you’re personally proud of.
And honestly, I’d love to hear the story behind it too. Sometimes the process is even more interesting than the final song. Did the AI randomly create something amazing? Did you spend hours trying to perfect it? Was there a real emotion or memory behind the track?
Drop your songs below. I’m looking for hidden gems.
not gonna lie, been thinking about this after some recent comments on my YouTube stuff.
I’ve been posting AI music (mostly Suno experiments), and I’ve started getting the usual “this isn’t real music / AI can’t make art” type of comments again.
and I get it, people have opinions, but it still makes me think a bit.
because when I listen back to some of the tracks, especially the ones where I wrote the lyrics and shaped the direction, it honestly does feel real to me in a way.
not perfect, not trying to act like it’s anything huge, but emotionally it still hits sometimes.
I’m not just clicking a button either. I’m still writing, tweaking, trying different moods until it feels right. sometimes it’s basically me dumping a feeling into something I can actually hear back.
I’m not trying to call myself an “artist” or anything like that.
but I do feel like I've put in effort, thinking, ideas, and emotion into it, and I did create something at the end of it.
so yeah, curious how others see it here:
do you actually think AI music is automatically “not real music” even if it sounds good and feels meaningful? or is it more about how it’s made than how it ends up?
I used to really admire artists who could turn their inner world into something tangible,something you could actually hear or see.
Lately, I’ve been using AI music tools like Suno and Musicful in a way I didn’t really expect. It’s not just experimenting anymore. It’s kind of become a way to get emotions out that I don’t really know how to express.
There’s something kind of strange (and honestly a bit comforting) about turning messy thoughts into prompts and hearing them come back as actual sound. It doesn’t really “solve” anything, but it does make things feel a bit lighter. Like it translates something inside me into a form I can actually sit with without overthinking it.
I didn’t expect that to matter as much as it does, but it kind of does.
I originally thought AI music tools would just be something I’d use once in a while, mostly for fun or quick experiments.
But now I’m using them way more than I expected.
Not really to finish full tracks, but more for sketching ideas, trying out directions, and getting unstuck creatively. At some point, they just kind of became part of my default workflow. I used to spend more time on Udio, but lately I’ve been leaning more toward Suno and Musicful - and honestly, the pace these tools are improving at is kind of insane.
But here’s what I keep thinking about:
Am I actually becoming more creative with these tools… or am I starting to rely on them a bit too much for the heavy lifting?
Because the more I use them, the more I wonder whether they’re just helping shape my ideas or quietly shaping them for me.
So I’m curious how other people feel about this . Do AI music tools genuinely expand your creativity, or have they changed your process in ways you didn’t really expect?
Where do you personally draw the line between a tool and a crutch?
I originally thought AI music tools would just be something I’d use once in a while — mostly for fun or quick experiments.
But at this point, I’m using them way more than I ever expected.
Not really for finishing full tracks, but more for constantly sketching ideas, exploring directions, and getting unstuck creatively. Somewhere along the way, they’ve become part of my default workflow.
I used to spend more time with Udio, but lately I’ve been using Suno more, along with a newer tool called Musicful - and honestly, the pace at which these tools are improving is kind of insane.
But here’s the part I’m still trying to make sense of:
Am I actually becoming more creative with these tools… or am I slowly relying on them for more of the creative heavy lifting?
Because the more I use them, the more I find myself wondering whether they’re shaping my ideas more than just supporting them.
So I’m curious how others see this - have AI music tools genuinely enhanced your creativity, or do you feel like they’ve started to shift how you create in ways you didn’t expect?
Where do you personally draw the line between a tool and a crutch?