No. Just like Owl City isn't his real voice. If the song is good I don't personally care.
Most of the music I like is loops pasted together in some DAW. Sure, it requires taste to make a good song but if AI figure out how to replicate that taste can crank out catchy tunes I wouldn't have a problem with it. I can only guess though that too much of a good thing will lead to be getting bored with it ... maybe.
It's not like most pop music isn't formulaic. I enjoy the currently popular songs from K-Pop Demon Hunters but they're so cliche, if they turned out to be AI generated I wouldn't be surprised :P
I've never made one of these so I have no idea what all the issues are but I feel like I want it to act like presentation software. I want to be able to connect boxes with lines/arrows, then drag the boxes and have the lines stay connected to the boxes. I probably also want group things like I can in most structured drawing programs. Maybe that doesn't work well with ASCII
Like a simple example, I expect if have a object selected and press Cmd/Ctrl-C, Cmd/Ctrl-V I get a duplicate.
Or you could just start with ASCII... I was discussing how shaders work with a friend and wound up hacking together a sort of "shadertoy" that runs in Emacs last night. Scroll to end of file to see examples...
For whatever reason, we haven't seen the same degree of self-perpetuating credential disclosure in either Rust or Python as an ecosystem. Maybe that trend won't hold forever, but that's the distinguishing feature here.
CRT shaders are a rabbit hole. Retro gaming/emulator community has been iterating on them for a while now. Found this blog post with tons of comparisons between different shaders in different configurations: https://thingsiplay.game.blog/2024/10/19/showcase-for-retroa...
that site has the same issue. It will give ridiculous and easily provably false results for iPhones.
There are ~40 million in the PST time-zone. Some percent have smartphones (80%+), ~50% of those are iPhones (16 million). Of those, the majority are set it English (80%+), and are divided into screen sizes. But basically, if you have an iPhone, you have the same fingerprint has at least a million other other people in the PST time size. You are at best, 1 of 100, not 1 of x,xxx,xxx,xxx.
You might be x,xxx,xxx,xxx of people who visited that unpopular site but no one needs tracking on an unpopular site. On a popular site you will not have a unique finger print.
Non-ascii, I tried various subsets of Unicode. There’s the geometric shape area, CJK, dingbats, lots of others
Different fonts - there are lots of different monospace fonts. I even tried non-monospaced fonts tho still drawn in grid
ANSI color style https://16colo.rs/
My results weren’t nearly as good as the ones in this article but just suggesting more ways of exploration
https://greggman.github.io/doodles/textme10.html
Note: options are buried in the menu. Best to pick a scene other than the default
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