Earlier quoted context omitted.
by this definition, a random dataset could apparently present no patterns, while presenting non apparent patterns.
Sounds like presenting no patterns, apparently or otherwise, would be a pattern in itself.
Show HN: Overfitted a 900KB Transformer to Compress a 100MB CSV into 7MB
71–80 of 83 posts
Re: Show HN: Overfitted a 900KB Transformer to Compress a 100MB CSV into 7MB
#72Earlier quoted context omitted.
I was working on a multiplayer game a while ago, and one of the iterations of the netcode was "thin client" where clients just sent input, server simulated the game, and it dumped world state onto the pipe at 60hz. I didn't ship that version but I estimated a $3000 bandwidth bill with that approach! I started looking into diffing the state, compression, etc... until I realized, wait a minute! My player movement is li…
$3000 bill wow!! Clever insight :) yes a specialised solution usually wins! Good effort Did you end up publishing your game?
Meanwhile I'm learning how to ship a trivial single player game -- I went with Pong, and it turns out polishing Pong and getting it ready for mass consumption is a surprisingly labor-intensive endeavour (yes, even with the fabled miracle machine assistants!)
But, it should probably be online by the end of July. Like, for real this time :)
What are you working on?
Re: Show HN: Overfitted a 900KB Transformer to Compress a 100MB CSV into 7MB
#73Dumb question: can you train a model to predict the next byte of ANOTHER MODEL So apply this same logic to compressing a bigger model within a smaller model I know this is absolutely regarded, but humour me please
Not dumb at all. It's a whole field of active research - Speculative Decoding. A recent paper goes one level deeper with Speculative Speculative Decoding - https://arxiv.org/abs/2603.03251
Re: Show HN: Overfitted a 900KB Transformer to Compress a 100MB CSV into 7MB
#74Earlier quoted context omitted.
No.. they're not. Do you understand random (the apparent or actual lack of definite patterns or predictability[0]) or compression (reduces bits by identifying and eliminating statistical redundancy[1])? [0]: https://en.wikipedia.org/wiki/Randomness [1]: https://en.wikipedia.org/wiki/Data_compression
I could write a program to generate the first 100MB of pi in a couple kilobytes. That certainly counts as “data compression” but isn’t useful outside this particular problem instance.
Re: Show HN: Overfitted a 900KB Transformer to Compress a 100MB CSV into 7MB
#75Earlier quoted context omitted.
$3000 bill wow!! Clever insight :) yes a specialised solution usually wins! Good effort Did you end up publishing your game?
My game has been in development hell for several years. I've worked out most of the single-node issues and now I'm working out how to scale it to multiple nodes. (It is embarrassingly parallel, but I am embarrassingly stupid!) Meanwhile I'm learning how to ship a trivial single player game -- I went with Pong, and it turns out polishing Pong and getting it ready for mass consumption is a surprisingly labor-intensive…
I’m working on a game engine/platform and my first game on the engine.
Lots of compression work so that I can fit the games into qr codes which I’m super stubborn about achieving and finally achieved for 30 minute+ games for N number of players
Re: Show HN: Overfitted a 900KB Transformer to Compress a 100MB CSV into 7MB
#76Re: Show HN: Overfitted a 900KB Transformer to Compress a 100MB CSV into 7MB
#77Given it's an overfitted transformer isn't is still terribly inaccurate/is liable to add random bytes here and there?
Re: Show HN: Overfitted a 900KB Transformer to Compress a 100MB CSV into 7MB
#78TabPFN v2 is probably less overfit: https://news.ycombinator.com/item?id=42647343
Re: Show HN: Overfitted a 900KB Transformer to Compress a 100MB CSV into 7MB
#79There issue was the size of such log tables that would be needed, and hence, they settled for some trade-off.
My question is: can the expensive log-domain addition / correction function be implemented as fixed hardware lookup tables or approximate units?
Update: found the vendor: https://www.tensordyne.ai/silicon-and-math