I think you misunderstand the point of the demoscene. It’s about mathematical prowess and the joy of puzzle-solving moreso than pretty pictures.
Appropriate uses for AI could be to trace the history of demoscene effects, or to explain how a particular scene works so you can understand it better. Nobody in the scene wants a magic box that solves the puzzle for them.
Every time I see a person leading a model to specialize in a uniquely human endeavour, I think of the last lines of this stanza from Bob Dylan's It's Alright, Ma (I'm Only Bleeding):
Disillusioned words like bullets bark
As human gods aim for their mark
Make everything from toy guns that spark
To flesh-colored Christs that glow in the dark
It’s easy to see without looking too far
That not much is really sacred
The existence of LLMs is not the problem. The insane way they've been integrated into society is the problem. Back in 2020, GPT-2 was something novel you'd do random experiments with and something like this would've been cool. As long as it remains a silly experiment, it still is cool.
The post seems to refer to a very specific subset of demoscene:
> I came across Dwitter.net, which is like Twitter but for 140 character JavaScript demos. They already supported “remix”-ing any dweet so that we can build on top of them.
Appropriate uses for AI could be to trace the history of demoscene effects, or to explain how a particular scene works so you can understand it better. Nobody in the scene wants a magic box that solves the puzzle for them.
I shouldn’t add to this mess.
I used to have a reasonable experience on HN.
> I came across Dwitter.net, which is like Twitter but for 140 character JavaScript demos. They already supported “remix”-ing any dweet so that we can build on top of them.
To me, demoscene was about embracing new technology and using it to express yourself.
It's enshrined now and so I find it to have served it's purpose. Look forward, not back.
slop. Dwitter is nowhere near approaching a count of d/367547