Compelled to point out there was a wave of "AI games" before proper generative models too: the Kinect used decision forests for pose estimation [1], but in an example of the "AI effect", the Kinect games are mostly remembered as cumbersome and largely dancing-themed, not specifically AI/ML games
It drives me a little bonkers that the UK already tried implementing age verification in 2019, with an approach that would have been easy to make verifiably anonymous: buying a single-use code from a newsagent who checks your age with ID [1], but can't connect the code to you specifically
That attempt officially failed because the UK failed to inform the EU about it, but I suspect it was also much harder to sell people on having to buy "porn passes" than on "just" kicking kids off phones
> And you create music without ever having heard music before? Or are you also extracting other artist’s work and using it as inspiration for what you do?
For me, one key difference is that I can cite my stylistic influences and things I tried, while (to my knowledge) commercial musical generation models specifically avoid doing that, and most don't provide chord/lead sheets either -- I would find it genuinely sad to talk to a musician about their arrangement/composition choices, only to find they couldn't
> I would find it genuinely sad to talk to a musician about their arrangement/composition choices, only to find they couldn't
So much of music composition is what "feels right" and is instinctual. Artists aren't consciously aware of probably most of their influences. They can cite some of the most obvious ones, but the creative process is melding a thousand different vibes and sounds and sequences you've heard before, internalized, and joined into something new, in a way only your particular brain could.
Let music historians work on trying to cite and trace influences. That's not something artists need to worry about.
Thus already doing much better than the average Suno producer
E: More seriously, this strikes me as a motte-and-bailey where "Artists cannot list every single influence they have or provide an explicit motivation for every single creative choice" is treated the same as "artists cannot list influences or justify creative choices at all"
I think any line is necessarily going to be arbitrary, a blanket ban on any ML model being used in production would be plainly impossible -- using Ozone's EQ assistant or having a Markov chain generate your chord progressions could also count towards "in substantial part", but are equally hard to object to.
But we also live with arbitrary lines elsewhere, as with spam filters? People generally don't want ads for free Viagra, and spam filters remain the default without making "no marketing emails" a hard rule.
The problem isn't that music Transformers can't be used artfully [1] but that they allow a kind of spam which distribution services aren't really equipped to handle. In 2009, nobody would have stopped you from producing albums en masse with the generative tech of the day, Microsoft's Songsmith [2], but you would have had a hard time selling them - but hands-off distribution services like DistroKid and improved models makes music spam much more viable now than it was previously.
They handle a lot of sales [1], I do not think they can be called irrelevant under any reasonable definition of the word:
> In the past year alone, [customers] spent $208 million on 14.6 million digital albums, 11.2 million tracks, 1.55 million vinyl records, 800,000 CDs, 250,000 cassettes, and 50,000 t-shirts.
The PineTime [1] is the cheapest programmable option I'm aware of - it does need Gadgetbridge on Android, and the heartrate sensor didn't quite work for me, but otherwise it might be worth a look?
The case you might be thinking of is the JBIG2 implementation bug [1, 2] in Xerox photocopiers where the pattern-matching would incorrectly treat certain characters as interchangeable, leading to numbers getting rewritten in spreadsheets.
Richard Williams' The Animator's Survival Kit [1] is the standard recommendation, I believe - I've also seen animation courses recommend Preston Blair's Cartoon Animation [2]
[1] https://www.microsoft.com/en-us/research/blog/kinect-body-tr...