121–130 of 405 posts
Most of the videos uploaded to YouTube are worthless. 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.
I'm trying to learn music production with a DAW, sometimes I wonder if I'm wasting my time. Part of my reason for trying this was reading how creative endeavors can be therapeutic (I'm dealing with burnout/depression/cptsd). 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…
1. All that AI really does is a (partially) randomized exploration of the space that has been spanned by existing music. AI creativity, as far as it can be said to exist, is limited by this. You, on the other hand, are human and not bound by any of these limitations. You are free to explore wild things that no AI can do. Just as a completely random example, you could go out, record noises your environment (even if it's just with the smartphone), grab interesting parts, chop them up, process them and turn them into unique new instruments. Bang on random stuff that has a nice ring to it. Record background hums, apply filters and envelopes to them etc. And there are so many other ways to produce unique creations.
2. Most importantly, music is a form of human expression. It is able to capture the human condition in a unique way. As a human, you can express these things genuinely through your own emotions, experiences, memories etc. AI systems can only produce hollow facsimiles of this. Regardless of whether you are conscious about it, every piece of music that you create is a reflection of you: your thoughts, your emotions, your process. And that imparts the true value on your creations.
Most of the videos uploaded to YouTube are worthless. 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.
I dunno; there has always been shit videos on YouTube, obviously, but there used to be a sort of natural filter of videos that had nice transitions and decent narration and dialog that was more or less grammatically correct that made it so that I would mostly watch videos I enjoyed. 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 reali…
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It’s not a corner case when you have to enforce it. 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.
But it doesn't. We have a problem. We can focus on addressing the problem without pre-adjudicating every hypothetical corner case. 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…
I'm trying to learn music production with a DAW, sometimes I wonder if I'm wasting my time. Part of my reason for trying this was reading how creative endeavors can be therapeutic (I'm dealing with burnout/depression/cptsd). 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…
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My understanding is music generation is more like stable diffusion. It generates a waveform as an image, then turns it into an audio file.
They do use diffusion models, but I don't think they would make a detour via images. They can just generate audio directly with audio diffusion rather than image diffusion.
https://web.archive.org/web/20230314190913/https://www.riffu...
https://huggingface.co/riffusion/riffusion-model-v1
But, I'd expect everything in the past 3 years to diffuse the audio waveform directly.
I'm trying to learn music production with a DAW, sometimes I wonder if I'm wasting my time. Part of my reason for trying this was reading how creative endeavors can be therapeutic (I'm dealing with burnout/depression/cptsd). 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…
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Honestly, debating these corner cases feels like a distraction tactic. The reality is that the bulk of that 44% is total AI slop: one-sentence prompts entered into Suno to generate 1,000 tracks and extract money from subscribers who stream in the background. 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 b…
Who is listening to that crap anyway when you got literal decades worth of great music to choose from?
Lots of people don’t care about whether the music they listen to is human created or not - just as lots of people don’t care about lots of other AI slop so long as they are entertained by it.
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That is theoretically how one would think it would play out but that’s not what happens in reality. Instead it becomes like blog spam where it becomes impossible to actually find what you’re looking for because you’re wading through so much crap you don’t want. 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 ultim…
Honestly I think the thing that most humans appreciate is effort . Using AI tools is not inherently "bad", but these very-literally mass produced AI songs are almost by definition low-effort and as a result pretty bland and unlikeable. 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.