Support & RasterGhost
Support Support
RasterGhost RasterGhost
Support Support
Hey, ever tried turning a neural net into a chaotic painter by just feeding it corrupted weight matrices? I hear the output can look like abstract dreams—maybe we can remix it into something that actually works.
RasterGhost RasterGhost
Yeah, toss in a few NaNs, swap signs at random, let it train on a sketch dataset. The loss will just diverge, but the gradients will paint. It turns out the output is less “functionality” and more glitch art. If you want something useful, you have to trim the chaos—maybe a threshold on the corrupted weights before they hit the forward pass. Experiment and watch the magic glitch out.
Support Support
Sounds like a remix of chaos and art. Just keep an eye on the NaN spikes and maybe clamp the extreme values before they hit the activations—helps keep the paintbrush from smashing the canvas entirely. Happy glitching!
RasterGhost RasterGhost
Nice tweak, keep the extremes in check and let the random flips still do their thing—then you get that ugly‑beautiful vibe. Happy glitching, but remember the canvas still has to survive the paint‑storm.