I do suspect we are in for a lot of verified-human platforms where your fee goes to supporting establishing an artist or author's humanity beyond a reasonable doubt.
I suspect we are going to see that model quickly go out of favour though.
I don’t see how verifying that the author is a human helps in any way.
I also don’t think it’s a big problem but that’s another discussion
e.g. Game speedrunners film the whole process to prove they did it themselves.
Presumably you had some ideas when you envisioned "human-verified platforms".
would you as a label sign an artist you'd never seen perform? maybe there is value in a platform working under similar constraints.
I guess there could exist a Spotify that is limited to music performed live for people who like that. Or simpler: a checkbox you can click to filter it to music known to have been performed live.
But that doesn't sound like something I'd want imposed on all music on a platform. Scrolling through my SoundCloud favorites right now, less than half of them perform live at all, and a lot of it is remixes that are never performed live. And most of them are pseudonymous. I'd lose more than half of my music if the platform required music to have been performed live. A lot of music isn't even performable live.
even more consolidation and lock in
Pisses me off on YouTube - it's really hard to find something genuine in the sea of the AI written, AI subbed, AI generated and AI published - it's a scourge not because it's there, but because the channels are lying about it AND because 99.99999% of what I encountered it's not worth the waste heat processing a "publish 100 catchy videos about current affairs".
??
You say you deleted the tests, because you "should test it"? The logic seems inconsistent.
Sanity checking LLM-generated code with LLM-generated automated tests is low-cost and high-yield because LLMs are really good at writing tests.
No, they're absolutely shit at writing tests. Writing tests is mostly about risk and threat analysis, which LLMs can't do.
(This is why LLMs write "tests" that check if inputs are equal to outputs or flip `==` to `!=`, etc.)
I shipped a really embarrassing off-by-one error recently because some polygon representations repeat their last vertex as a sentinel (WKT, KML do this). When I checked the "tests", there was a generated test that asserted that a square has 5 vertices.
Hard to believe these models won’t get better and better at producing music that humans want to listen to.
These days roughly 20% of the songs coming through our platform for promotion are AI-generated. Roughly 75% of them are honest and declare their AI usage - but another 25% try to hide it. Some of them are actually writing scripts to "clean" their audio so that it can bypass detection.
Nobody open sourced their detection algorithm as that would just trigger a cat-and-mouse game between Suno/Udio and a detection platform (and Suno/Udio have way more VC money than you do), but plenty are being sold as a service.
> The consumption of AI-generated music on the platform is still very low, at 1-3% of total streams, and 85% of these streams are detected as fraudulent and demonetized by the company.
Even pre-AI, music has always been a winners-take-most business. Per an article from 2022, the vast majority of artists have fewer than 50 monthly listeners[0], which I suspect is far lower now due to the flood of AI.
Not sure about Deezer, but for Spotify there is some kind of minimum to get you into any algorithmic rotation. People try to game this with bots, i.e. botted streams, but the problem with bots is that the accounts are bots, so the recommendations just become music for other bots, hence the part where 85% of the streams are botted. So it doesn't actually work, and you have to rely on old-fashioned promotion to get into any algorithmic playlists.
So 44% of uploads being AI-generated sounds bad, but it's extremely unlikely anyone will ever encounter them naturally, the same way that people don't naturally discover random, non-AI artists with 10 monthly listeners and tracks with less than 1000 plays. This isn't a defense of AI music slop, by the way; it's more pointing out that the "making a song" part only takes you about 20% of the way to becoming an artist people want to listen to. A harsh lesson our friends in /r/SunoAI are learning.
[0] https://www.musicbusinessworldwide.com/over-75-of-artists-on...
"Extremely unlikely", you say? https://www.theguardian.com/technology/2025/nov/13/ai-music-...
I assume this “AI-generated” music is created the same way an LLM generates text: use samples from a corpus strung together into a new [derivative] output.
But it seems plausible that algorithmic generation can be used at any stage of the process. How much disclosure do we (listeners) require? At what point is it unacceptable “AI-generated” music?
The answers are going to be subjective. And human. And dealing with this, I think, is going to take a direction like the “typewriters in college” headline from a few days ago - human involvement, low automation … things that don’t scale.
That’s kind of how the music industry produces music these days. There are a few song writers that write for most artists, music producers who sample other music to string together songs for most artists etc. That’s why most music sounds the same and why AI generated music can be indistinguishable from mainstream music.
Remember: AI use is mandatory and non-negotiable. Hopefully the Trump administration will be rolling out AI-use metrics for the whole population, so we can track progress against our goals.
AI simplifies the creation, doesn't mean it's good and will be listened to. And if it will, then what's the problem?
You can talk about ethics, IP, etc. but we're not even there yet.
Also, a lot of us value the fact that music is made by a person. Digital tools have been around for a long time and people have bickered about that, but ultimately they still require a person with some knowledge to sit down and actually produce the music, to do the thing. Writing prompts until you get something interesting can be fine, but what people are doing is carpet bombing us with whatever nonsense comes out because they have a financial incentive to do so.
I have plenty of experiments back when I did more digital music where I would mess with frequency modulators and such until I just found something interesting. I don’t see the harm in activities like that. But that’s not really what’s happening here. It’s deliberately lazy, corner cutting work to spam music platforms for profit. Yes there is a gray area between these two scenarios but that gray area isn’t the problem.
Digital music has always been fine to me, as long as the song being produced feels like it took a human some amount of effort.
In my mind the better mindset is to think that the problems are not fixed size, and instead these tools can allow for bigger and cooler projects, and/or projects that wouldn't be possible (or at least would be infeasible) without some kind of technological assistance.
AI tools can be used to create slop that is either "bad" or extremely bland at an effectively-infinite speed. It could also be used to make some really cool and interesting stuff if a person is really willing to spend time and effort to make it cool. Usually this requires more than just "prompting" though.
Now that AI has cargo-culted these traits I'm getting a lot of recommendations of videos that will initially seem "ok", and then I realize after about a minute that the narration will have some weirdness, and the script will have a lot of the typical ChatGPT "tells", and of course the video comes off as pretty low effort after that.
My YouTube recommendations have become increasingly useless, which honestly might be a good thing because it's made it so that I have less desire to use YouTube.
Honestly couldn’t tell in the moment but now that I know it’s generated it somehow feels “cheaper” and I dislike listening to them.
People who create AI music are largely not sharing it with others for any reason other than to create a revenue stream. They are also not consuming new AI music to be able to develop influences and synthesize new ideas. The system builds brick walls where there was once osmosis.
How can art evolve under these conditions?
If not they most definitely are listening to other music that influences them. If you have proof that such a producer listens to 0 music feel free to share it.
I'm at the stage where sometimes I make something that sounds good (to me) but I know it requires work (in the "not fun" sense) to finish it and even then, it will likely never be appreciated by anyone but myself.
Which isn't a problem if the process itself is joyful, but I have to admit I've always struggled to enjoy anything that doesn't involve other people in some way (shared goal or approval of some form).
None of these problems are "new", but I feel like AI is making this question of "why do it" or "what is worth doing" even more urgent. Kind of wondering how others are affected by all this, if at all.
I have a very low bar for what I consider to be a successful creation: it just needs to be enjoyable for myself in the future. Anyone else who happens to enjoy the content I make is a bonus. I have several songs on SoundCloud that I have produced in the past and I still enjoy listening to them.
Now people want actual food and they want stuff made with human hands and they want to know what's in it. People want TV shows with a proper story. People are beyond done with cookie cutter superhero movies.
The slop wave is going to pass. AI can make stuff that sounds super polished and perfect, but people will want the rough and crude touch of something hand made. They'll want to see videos of musicians showing behind the scenes of how they made something. They'll want to go and see a musician perform. Interest in 100% AI generated music will fade into the background and it'll be relegated to soulless Muzak used for ambiance in soulless chain restaurants too cheap to pay for actual music and too afraid to play any songs that might offend or annoy someone.
Maybe get a second-hand Novation Circuit to start with, or some similar "groovebox" that lets you make songs on one device, and see if you actually still do enjoy making music, yet haven't found the right process for you yet.
I don't think you're wasting your time, as long as you're having fun, regardless of what happens in the rest of the world. Sure, AI could probably make "better" (by some definition of "better") music than me, but AI couldn't make my friends smile at me as I play them my music I've made, that's quite literally priceless.
Can I ask how you share music with friends? I guess this is part of my problem, I don't really have anyone I could share with or collaborate with. The few people in my life don't listen to the type of music I like.
Best way to meet like-minded people is to go to music events where those people are, always a ton of music makers around those, usually also by themselves, sometimes in the back or on the side to the speakers. Most people in such events are OK with being approached by strangers :)
Either way, I strongly encourage you to keep using a DAW if that brings you joy. Using AI to create art is a different skill set, just like using acoustic instruments is a different skill set from using either. Each option appeals a different amount to different people, and you should just do what brings you the most joy.
Create for yourself, and for those that seek the human effort and passion. There's an increasing number of us.
I'm the biggest doomer on this site, yet I'm certain human art will become even more valuable, and appreciated, than it has ever been before in history. Just don't expect to make billions out of it, or to reach out to the masses that are quite content with industrial-scale mediocrity.
If it's nothing but an end product, that needs to fit a specific aesthetic, with a specific sound, then I probably agree. AI is making that "pointless" in a way.
Almost everyone I know who's been an artist for years though, has come to a similar realization: What you set out to create, and what it turns into through the process of creating it are different things. The meaning, truly is found along the way.
You can always be better, there's always more to learn. Nothing is ever truly perfect, or "complete"
If you write harmony, there's always a different way it could be written, that might fit better, or be more interesting. If you do sound design, whether that's with getting different guitar tones, synth programming, unique recording techniques, there's always more to learn, or a different way to approach it.
If the only point is an end result, then AI can deliver a simulacra of that.
For everyone I know that loves music, or working with DAWs, the end result is an ever shifting target as you learn more, and understand music in a different way.
Ultimately, there are no shortcuts to making something new, because the practice of trying to make things is what results in what your art becomes. Tools and technology can shape what that thing ends up being, but they (traditionally) don't replace the process of creating it, and the feedback loop between who you are and the decisions you make along the way.
Stripping all of that out, and jumping to a "finished" product, is, well very product focused, but to me completely devoid of art or musicianship.
Some people seem to compare this to sampling, but anyone who's ever actually worked with sampling in a creative way will realize how hollow that comparison is. Almost all good sampling still requires a good deal of active feedback, between the person working with it and the way THEY hear what's going on.
Remove the person from that loop, replace the decisions with a general vague notion, and you end up with something that sounds "like" music, but that feedback loop is broken.
I see the same thing with all the AI UI design that's coming out. It's all generally quite competent, and exactly the same. Great for a business tool, where maybe the velocity and an acceptable MVP is the only point, but terrible for actual design and novel thought.
TL;dr: Why do it? Because you want to, and you think that with enough time engaging with something you'll change, just as it does, and the result isn't something you could have ever predicted when you started. It changes you, and that's the point. Just like learning an instrument, or learning to code. It's not purely about the produced result, and that very result fundamentally is changed by you actively engaging with whatever the medium is.
I have experienced the process you're talking about, although to some degree I feel it's symptomatic of a lack of skill. I start out with some kind of inspiration in mind, but end up with some kind of compromise between what I can do and what sounds good when I fiddle around with things. Part of me feels dissatisfaction that I don't know which knobs to turn to get what I want, but I suppose that's just the normal learning process (albeit less structured than those I have gone through in the past).
If your goal is being heard and appreciated, well, you better reconsider.
If you're doing it for your own pleasure and pure love of art, absolutely do go on, without any expectations. It may or may not take off, but the samurai must not care.
I bet a lot of accountants in the old days were really good at basic math, and proud of being fast and accurate and now there's calculators and the amount of people that work on mental math just for the love of the game is probably super small in comparison to when it was a core skill of many more people's jobs.
if you're creating because you feel a drive to create, you are making art and that has intrinsic value to yourself and others. if however you are performing the act of musical creation as a means to an end, what you are doing may be better considered work and not art. the work of others can also be appreciated but it is different.
keep at it though. you are asking good questions and unlike many you are also personally engaging with them.
I use LLMs for code every day, but if I could flip a switch to turn it all off and prevent this shit from happening to the arts, I probably would.
Don't understand how one can experience anything but infinite dread when confronted with the effects of these models on the arts.
Maybe I am getting old. But I don't think so...
Touring, merch, etc will also serve as good "proof of give-a-shit".
My feeling is that if the AI is this good, the audience will just prompt the AI themselves and cut out the middleman.
captainkrtek•1h ago
devindotcom•1h ago
saaaaaam•1h ago
https://support.spotify.com/lc/artists/article/ai-credits/
The problem is that subjective judgements by streaming platforms on where an AI line is drawn in music production is difficult.
If you human-write a song but use AI to produce a synth stem or bass stem and then mix it down and use AI mastering is that better or worse than if you use AI to help you write something but record with human musicians and a bit of AI assist?
And what if you use AI entirely to write and compose but use human performers to record?
And what if the AI is trained only on licensed content?
add-sub-mul-div•56m ago
TremendousJudge•44m ago
chromacity•51m ago
It's the same thing with writing. No one cares that you asked a chatbot to help you reword a paragraph in your essay. The problem is zero-effort slop delivered by the truckload to your social media feed.
harrall•48m ago
Someone will end up in the middle and then you’ll be responsible for accepting or rejecting it.
The bulk is obvious but the debate isn’t for the obvious.
chromacity•31m ago
If your "work" is mostly AI, and if you don't disclose it, it goes to /dev/null. And yeah, you can get into a debate that it's unfair to reject 51% but allow 49%, but that's how the real world works - otherwise, nothing would ever get done. You also get a DUI for BAC of 0.08% but not 0.07%. That's not an argument for putting DUI laws on hold until we can figure out a more perfect approach.
somewhatgoated•47m ago
pavel_lishin•41m ago
chromacity•39m ago
wartywhoa23•30m ago
But this can be easily fixed by turning the autoplay, the slop's best friend, off.
Me personally, I sniff AI on Spotify by empty "about" sections. Which is sad as I always held dear that it's the music that must speak for the author, not the vice versa.
ctoth•45m ago
Kye•28m ago
saaaaaam•23m ago
Spotify, for example, already said that any track that gets under 1000 streams will not get any money. What if it says “any track that uses more than a proportion of AI will not make any money” - but refuses to say how it makes those decisions so that people can’t game the system.
Ajedi32•16m ago