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sujayakar

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sujayakar
·6 か月前·議論
I'd absolutely love to play with this. one idea I had is to train another model to create bitmaps of sidewalks and roads and add a simulation for pedestrians and cars. day/night cycle would also be so cool!
sujayakar
·昨年·議論
switch to auto mode and it should still work!
sujayakar
·昨年·議論
Here's an interesting negative result.

After watching this video, my first thought was whether recent results from columnar compression (e.g. https://docs.vortex.dev/references#id1) applied "naively" like QOI would have good results.

I started with a 1.79MiB sprite file for a 2D game I've been hacking on, and here are the results:

  PNG: 1.79 MiB
  QOI: 2.18 MiB
  BtrBlocks: 3.69 MiB
(Source: https://gist.github.com/sujayakar/aab7b4e9df01f365868ec7ca60...)

So, there's magic to being Quite OK that is more than just applying compression techniques than elsewhere :)
sujayakar
·昨年·議論
Deepseek is already using SSDs for their KV cache: https://github.com/deepseek-ai/3FS
sujayakar
·昨年·議論
I really love this space: Navarro's book is an excellent survey.

Erik Demaine has a few great lectures on succinct data structures too: L17 and L18 on https://courses.csail.mit.edu/6.851/spring12/lectures/