I find it interesting that there's so much pushback against ai generated art and music while there seems to be very little for ai generated code.
Also, there's quite a lot of pushback against AI-generated code, but also because unlike music, normal people have no interest in and aren't aware of the code.
In the first place, I do not regard a copyright notice and license on AI generated code to be valid in my eyes, so on those grounds alone, I cannot use it any more than I could merge a piece of proprietary, leaked source code.
You cannot ignore a credible/plausible claim from a third party.
It's not simply the case that the output has a public-domain-like status.
When it comes to code, I don't think anyone cares how the sausage is made, and only very rarely do people care by whom. The only question is "does it work well?"
Art is totally different. Provenance is much more important - sometimes essential. David is a beautiful work, but you could 3d print or cast a replica of "David". No one would pretend that the copy is the same as the original though - even if they're indistinguishable to the untrained eye - because one was painstakingly hand sculpted and the others were cheaply produced. This sense of provenance is the property that NFTs were (unsuccessfully) trying to capture.
It's difficult to pin down the line. Ultimately it's up to the individual to define them. "The relationship to art, and this kind of painting, to their work, varied with the person entirely."[1]
[1]: https://news.berkeley.edu/2025/03/31/berkeley-voices-transfo...
No and no.
If you raise and teach a child and they generate a painting, are you the artist?
while programmers have to rush it these days or they lose their jobs. Programmers don't have much of say in their companies.
Music has its history in IP, royalties, and most things need to be paid for in the creation of music or art itself.
It’s going to be much easier for devs to accept AI when remixing code is such a huge part of the culture already. The expectation in the arts is entirely different.
Artists are constantly getting inspiration from one another, referencing one another, performing together or having their works exhibited together...
While there are some big name artists who are famously protective of the concept of IP, those artists have made headlines exactly because when they litigate they seem so unreasonable compared to the bedroom musicians and pub bands and church choirs and school teachers and wedding DJs and millions of other artists and performers whose way of participating in "the culture" is much less tied to ownership.
Compare this to music where you are free to choose and listen to whatever you want, or stare at art that moves you. IF you don
At work most people are force to deal with code like SalesForce or MSFT garbage, not the same experience at all.
Why would people care about code coming from an industry that has been bleeding them dry and making their society worse for nearly 20+ years?
Every thread on HN that touches on the topic has countless people talking about how LLM generated code is always bad, buggy and people that utilize them are inexperienced juniors that don't understand anything.
And they're not completely wrong. If you don't know what you're doing, you'll absolutely create dumster fires instead of software
https://www.notebookcheck.net/Steam-updates-AI-disclosure-fo...
I think it's also about money. Places code and code samples are stored tend to be large companies that are in tech and on the AI hype wagon. Bandcamp is not one of those places.
An apt analogy would be like a shared drawing taking merge requests and having to spend 30 minutes looking at every single merge request zoomed in to see if there was a microscopic phallus embedded somewhere.
It is completely fair for an open source project to have their own standards, and you are also free to fork it so you can accept as many AI PRs as you want.
None of these options are available for someone that wants to sell AI generated music. There are really only 2 marketplaces to sell your own music and if both of them banned AI, then you are effectively locked out of the entire market.
I have dozens of little programs and websites that are AI generated and do their job perfectly.
Eventually that'll change, as artists and musicians continue to experiment with AI and come up with novel uses for it, just as digital artists did with tablets and digital painting software, and just as musicians did with keyboards and DAWs.
In terms of how well it works, the quality of AI music is far better than art or code. In art there are noticeble glitches like multiple fingers. For code, it can call non existent functions, not do what it is supposed to do, or have security issues or memory leaks. From what I can tell, there is no such deal breaker for AI music.
More subjective tells: drums are hissy and weak, lyrics are generic or weird like "Went to the grocery store to buy coffee beans for my sadness", weirdly uniform loudness and density from start to finish, drops/climaxes are underwhelming, and (if you've listened to enough of them) a general uncanny feel to them.
I've generated about 70 hours of AI music and have listened to all of the songs at least once, so it's become intuitive for me to pick them out.
Some examples for listening for the hiss filter:
https://suno.com/s/qvUKLxVV6HDifknq (Easiest to hear at 0:00 with the inhale)
https://suno.com/s/QZx1t0aii0HVZYGx (Really strong at 0:09)
Some examples for more hiss and other (subjective) tells like weak drums:
I guess what I'm getting at is that, since programmers are typically more inclined than the average person to understand how AI works, programmers are therefore ahead of the curve when it comes to understanding those pitfalls and structuring their workflows to minimize them — to play to the strengths and weaknesses of LLMs. A “fancy” autocomplete v. a “fancy” linter v. something pretending to be a junior programmer are all going to have very different rates of success.
The issue hindering art and music is that most people using generative AI for art and music are doing so analogously to the “something pretending to be a junior programmer” role instead of the “fancy autocomplete” or “fancy linter” roles. That is: they're typically using AI to generate works end-to-end, whereas (non-vibe-coder) programmers are typically using AI in far narrower scopes, with more direct control over the final output. I think the quality of AI-based art and music will improve as more narrowly-scoped AI-driven workflows catch on among actually-skilled artists and musicians — and the result will be works that are very different from existing works, rather than works that only cheaply imitate some statistical average of existing works.