Lunar Orbit Rendezvous

@mpatti @andrewscottbell @udiomusic @UMG @sonymusic @PaulMcCartney @yokoono @cinesamples Hi Mike, great description of how the NN approach works. Copyright re: training - in US, courts haven't made their position clear as yet, but may rule that this is 'fair use'. Copyright on outputs: unlikely to apply? in which case works could be essentially public domain.

The system generates the waveform directly. The source material (all music on earth) is used to train a neural network aka ‘digital brain’. This network is used to create ‘new’ ‘derivative’ works by generating a waveform directly. It’s a technology that’s been around for decades, but we didn’t have the computing power until now. The question is, is it copyright infringement to use copyrighted music to train these systems? Even if no actual audio is used from originals? I would say yes.

Pretty solid evidence that @udiomusic is illegally trained on copyrighted content. This was prompted to sound like The Beatles. No way it could've gotten the vocals and style this dead-on without the right source. Heads up, @UMG & @sonymusic! @PaulMcCartney @yokoono

@ednewtonrex @steph_palazzolo In the US, training on copyright works may be considered "fair use", depending on context, and the courts have not established a firm position on this as yet. Is that widely understood in the creative community?

Copyright laundering in action. If company A trains a model on creators' work without permission, and company B generates synthetic data for their own model using company A's model, company B is exploiting creators' work without permission, too. As @steph_palazzolo says, this is happening all over the place, and it is the AI industy's worst-kept secret.

@ednewtonrex @Rahll @steph_palazzolo The more novel & diverse the outputs of Gen AI the more a synthetic data approach can be sustained. Intuitively, I'm pessimistic - I envisage a drop of some kind of creative quality with repeated iterations and the eventual need for new human created works... my pure speculation!

@Rahll @steph_palazzolo Maybe. I'm always nervous about making predictions about AI capabilities...

@KevinSargentMus Or - they just focus on the big artists who are more likely to sue (and have a stronger chance of winning) The rest wouldn't be much if a worry

@KevinSargentMus I imagine there is a database of artists they work from that is inherently limited... where does one find a database of all the music artists/copyright holders in the world? (genuine question, maybe its doable in some way)

@crispinhunt The "Fourtet effect"

Interesting:“Are you a music artist on a UK recording contract that does not specify a streaming royalty (usually pre-2006 contracts), & believe your record label is not paying you a fair streaming rate? If so, we propose to bring an action on your behalf” fieldfisher.com/en/services/di…

@ednewtonrex Training models on "synthetic data" is already common practice. It could be a way out of the copyright/TDM issues for Gen AI developers but there are some obvious potential problems with that

@ednewtonrex If enough AI music enters the market, the next generation of models will be (in part) trained on.... AI music 😳 So where does that lead?

People are uploading music to the DSPs that is generated using AI products that don’t reveal their training data, and that therefore may be trained on copyrighted work without permission. This means it will compete with music it may be trained on.

@RichCanavan @michael_cryne In my view this is unlikely to happen because there isn't a clear lawful basis for copyright in AI outputs. Much more likely that customers will switch to new AI based services which generate unique, bespoke content, with no copyright claim. I think?

Dear production music composers, Would you sign some sort of commitment that states… ‘If a music library begins releasing AI music then we (collectively) will no longer write for that library’? Interested in feedback, but perhaps it could be an important statement? 1/3

@abstraktius I agree with the person who replied basically saying good/bad is a matter of opinion. Follow the joy in your art! (and take on feedback 😁)

1. what

@ScoreDrawMusic @nothingelseon Sorry but I would have been at @orbitalband with support from Bis. Unmissable.

@nothingelseon Our band played the “F**k Sound City” event that happened in parallel with this . John Peel was in attendance!

Big lineup for Leeds Sound City! Melody Maker, 30 March 1996. #MelodyMaker #MyLifeInTheUKMusicPress #1996

@theflightmusic I'm safe.

You’ve been kidnapped, and the characters from the last TV show you watched are coming to rescue you... who’s coming?

@crispinhunt *maybe too adversarial...

@crispinhunt We are in a mad world where natural human language is the new language of software development so who knows! I was wary of making this a semantic issue. My aim is "know thine enemy"* - the better we understand its working the better we can legislate ✊

Is Udio amazing AI cos it collages amazing Music? You decide.

Not based on my experience with @NI_News Massive X ❤️❤️❤️

@crispinhunt re: collage - my understanding is that neural networks don't work like that. Instead, during the training process they gain a kind of subjective impression of the data. They then generate outputs based on this "impression". rather than a collage from chunks of the original data.

@crispinhunt Thanks for both of those references, Crispin. I had not heard of SOMMS AI. I am writing about GenAI as part of my legal studies and that is a useful reference point.

@BenLissen @crispinhunt Surely this is good news: if GenAI works are not copyrightable then I think that is likely to very much protect us copyright holders! But I would welcome other perspectives... I am a student of Law and not an expert 😁

I know, which is why imho this is going too far, every industry in the world has to trace their inputs and outputs no matter how powerful their tech is. The fact that these AI companies are perverting the ethos "moves fast and break things" to creative work is outrageous, this was created for engineering work... I hope @ednewtonrex efforts will bear fruits, and I will join as soon as I can

How is it trained and who owns the copyrights of the tracks you generate?