Posts

in fact

 several people suggested to me that i train an llm or model to create music.  they had the best intentions but misinterpreted my goal, which was not, at all, to create 'good' music consider this, there is already a nearly infinite amount of 'good' music.  training an llm on a pile of it just to spit out more of it accomplishes really nothing.  you can just take from the infinite pile of existing works and sample, as people have been doing for decades, and put your own spin on things. there is a dataset on huggingface of midi files that is roughly a gig in size and has probably every existing midi file known to man.  i posit that within that archive is most likely every conceivable chord and chord progression and rhythm that any artist could ever create or even just listen to in their entire lifetime. the bigger question is what are you going to add to that?  will you create something new or will yours just be yet another iteration of a thing done before an...

on using AI for art

regarding (my) 'ai generated' art stuff, i never want it to look at all 'correct' or 'professional'.  i specifically would never use AI to generate art that looked like it had been made by a human, in fact, i'm not precisely sure why but i think that's stupid.  there's already 8 billion plus humans, they are fine at doing art that looks like humans did it.  in fact, they are excellent at it.  getting a computer to do that is just dumb.  i want something that looks like, or sounds like, a human COULD NOT have made it.  right?  apparently that's crazy and literally nobody besides like 10 other IDM artists are working around that concept. my whole point of using AI to generate stuff was just that i was bored with the limitations of my creativity which are bounded by my obsessive need for organization and boringly precise arrangement.  having studied and worked with purely deterministic systems like, every x bars pitch shift n notes, etc, i really li...

llm programming

 have recently been doing a lot of llm programming and encountering a common situation   llm will often suggest solutions that are new aspects of python or libraries i haven't encountered before, using a different approach than i usually would llm produces the boilerplate code and of course there's something wrong with it, or, later i need to go back and update this code that i didn't write, so i end up going through a series of questions to determine what each of these new functions or methods do. --- when i initially started developing again in python, i decided to write a simple sftp client as a learning project.  i started using chatgpt 3 which was what there was at the time, and i just had it write individual functions as i plugged along writing my program.  oh i need a function to connect to a sftp site, what does that return, how do i grab a file, etc stuff like that i got a basic working graphical client out of all that and decided to keep adding features to ...

nvidia and linux

so if you happen to be running arch linux and you have an amd card and then you get an nvidia card you have a lot of changes to make to your system before things will work properly first off you have to install the nvidia-open-dkms drivers, dkms if u didn't know is a dynamic system which will recompile kernel modules from available sources each time you update your kernel, because binary kernel modules need to be compiled specifically for the version of the kernel they are to be inserted in then you have to actually make sure that those drivers get loaded at system startup by editing your mkinitcpio.conf in /etc and adding  

betrayal at krondor/gpu market

so i have been using pcs for wayyyy too fucking long and like, i had a amd radeon like, rage pro or something way back in the day, maybe a rage 128, rage 2+ something like that.  hated it.  buggy drivers, always weird display artifacting and flickering.  crashing drivers.  etc.  also, oh, also, weird lag issues with your realtime audio -- big dpc latency spikes previous to that, i had started with like a riva tnt, then a tnt2, then basically every iteration of nvidia card afer that lol.  i went back to nvidias and stayed there for a number of years.  now its been like easily 10 or 15 years since then and i recently had a 6700xt it does the job i mean it shows graphics.  its pretty fast even without the scaling.  it was very affordable dollar to frame ratio fsr3 isnt even BAD .. per se until you compare it to dlss, and the nvidia frame generation.  and then the card, when i got it, i dunno if this is normal but it was running with a hotsp...

quick distro disappointment review

 recently had the mood to do a fresh install checked out kaos linux and was like woah this is cool, nice install (if you're a moron and need big pretty squares to guide you), nice default theme/skin etc.  really smooth install and then they have pacman so i was like cool its arch wait what i can't install anything from arch repos or aur and the kaos repos... suck... ok well maybe you can add arch repos... nope... creators say dont ever do this on pain of death ok well... next then tried manjaro, just cuz i had it laying around... man, i fucking .... this shit is always broken what's it gonna be this time 25.02 here.... install it... boom right out of the fucking box the initial pacman sync doesn't work ok well that was fun back to cachyos  

music is not emotional, it triggers emotions

 tonality, pitch, chords, do not themselves contain 'emotions'.  throughout our lives we are exposed to music played nearly constantly for television, radio, and everything else this music is set to visuals or stories or narratives and the chords are chosen accordingly based on 'music theory'.  once you have absorbed enough of this subconciously, chords are able to trigger these stored memories associated with external media/stimuli/experiences musicians do not in some mystical magical sense channel emotions into music.  music is a series of mathematical equations, tonality is mathematical, rhythm is mathematical.  musicians train their brain to translate human emotions into sequences of numbers and patterns that will correctly trigger the responses in the listener which they themselves experience this is also one of the obstacles that some music faces when transcending culture, although the beauty of the musical sounds itself is preserved, sometimes the origina...