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Stable-Audio-Demo

stability-ai.github.io

221–230 of 249 posts

Re: Stable-Audio-Demo

#221

Earlier quoted context omitted.

Wikipedia: > In copyright law, a derivative work is an expressive creation that includes major copyrightable elements of ... the underlying work A trained model fails that on two counts, doesn't it? Both the "includes" part, and the fact that a model is itself not an expressive work of authorship.

Curating training data is an exercise in editorial judgement.

If a trained model doesn't meet the definition of being a derivative work, it doesn't matter whether the data it's not a derivative work of was curated.

Re: Stable-Audio-Demo

#222

As with Stable Diffusion, text prompting will be the least controllable way to get useful output with this model. I can easily imagine midi being used as an input with control net to essentially get a neural synthesizer.

What other inputs besides text promoting is there for SD? Are you referring to img2img, controlnet, etc?

Re: Stable-Audio-Demo

#223
post #220
post #203

Earlier quoted context omitted.

Agreed. Leadership can sometimes bring actual value ;) And to be clear, I’m not sure Ed would call himself that. Those are my words, not his.

Ed here. Saw this thread and thought I'd weigh in. Agreed, I wouldn't say I was hired to build Stable Audio. Crazy talented team of research engineers / software engineers / designers did the building. Also wanted to clarify that I didn't quit due to concerns around the training data used for Stable Audio. I was proud of the approach we took to training data - a rev share with rights holders. I quit because of the pr…

Thanks for setting the record straight! People tend to put a singular face to things, especially if they have strong feelings about it. Leads to a lot of misrepresentation, especially when the context doesn't accompany the message.

Re: Stable-Audio-Demo

#224
post #203

Earlier quoted context omitted.

It isn't unusual for those in leadership positions to use such phrasing when talking about projects and products. It's not a "taking credit" from the engineers sort of thing, but rather about the leadership of the engineers.

Agreed. Leadership can sometimes bring actual value ;) And to be clear, I’m not sure Ed would call himself that. Those are my words, not his.

HN is usually allergic to recognizing the value of leadership, which always struck me as ironic considering it's leadership that made plenty of startups work.

Re: Stable-Audio-Demo

#225

Earlier quoted context omitted.

For generative models, if the model authors do not publish the architecture of their model; and, the model uses a transformation from text to another kind of media; you can assume that they have delegated some part of their model to a text encoder or similar feature which is trained on data that they do not have an express license to. Even for rightsholders with tens of millions to hundreds of millions of library ite…

If you require licensing fees for training data, you kill open source ML. That’s why it’s important for OpenAI to win the upcoming court cases. If they lose, they’ll survive. But it will be the end of open model releases. To be clear, I don’t like the idea of companies profiting off of people’s work. I just like open source dying even less.

> If you require licensing fees for training data, you kill open source ML.

I don't think this is true. There's a huge amount of public domain works, as well as stuff licensed under permissive copyleft licenses, that can be used.

But, even if it did kill off open-source ML, it would still be necessary, because it's morally wrong to train ML models on copyrighted content without compensating the copyright owners (on their terms).

As a content creator, I explicitly do not want or consent to any of my creative works being used to train ML models without having a licensing agreement through which I am financially compensated.

Re: Stable-Audio-Demo

#226

Earlier quoted context omitted.

It isn't unusual for those in leadership positions to use such phrasing when talking about projects and products. It's not a "taking credit" from the engineers sort of thing, but rather about the leadership of the engineers.

Managing a group of people is not synonymous with doing the actual knowledge work of researching and developing innovations that enabled this technology. I find it hard to believe that the contribution of his management somehow uniquely enabled this group of engineers to create this using their experience and expertise. A captain may steer the ship, but they're not the one actually creating and maintaining the means…

Depending on the work, an equal level of technical competency can be very beneficial for leadership to have, if not required in some situations. To debate his contribution as a counterfactual exercise without the context of his leadership is entirely non-productive. HN is always quick to dismiss leadership, despite evidence of good and poor leadership being tautologically debated about nearly constantly here. A talented group of engineers can self-organize, but their collective technical expertise does not translate to business acumen.

The crux of the debate appears to rest on the fact that context matters. If an engineer says to another engineer "I built the spam detection system", it is understood that they mean they either wrote the code or had some direct part in producing it. If an executive says to another executive "I made the Mac", neither is interpreting that as them literally building the thing. They know they are in leadership, the meaning is assumed to be "as a leader".

Re: Stable-Audio-Demo

#227

Earlier quoted context omitted.

If you require licensing fees for training data, you kill open source ML. That’s why it’s important for OpenAI to win the upcoming court cases. If they lose, they’ll survive. But it will be the end of open model releases. To be clear, I don’t like the idea of companies profiting off of people’s work. I just like open source dying even less.

> If you require licensing fees for training data, you kill open source ML. I don't think this is true. There's a huge amount of public domain works, as well as stuff licensed under permissive copyleft licenses, that can be used. But, even if it did kill off open-source ML, it would still be necessary, because it's morally wrong to train ML models on copyrighted content without compensating the copyright owners (on t…

I’m sympathetic, but currently the courts don’t agree. https://news.ycombinator.com/item?id=39364447

Morals are different from the law, but you seek a legal remedy, and those aren’t going well.

Re: Stable-Audio-Demo

#230

The problem with music generation is difficulty in editing. Photos and text can be easily edited, but music can't be. Either the piece needs to be MIDI, with relevant parameterisation of instruments, or a UI creating that allows segments of the audio to be reworked like in-painting.

What's the easiest way you found for using AI to edit photos? I was just yesterday looking at the openai dolly 3 API and it feels pretty limited. For instance, in the picture I have of a fisherman with too many fishing lines hanging down from his fishing rod, I'd like to just point it at the extra fishing lines and say make these go away, but there's no way to do that.
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