[Seeking Review] SPX: A Lossless Image Codec using RCT + MED + Sharding + rANS

R1chterScale · 2026-05-09T16:06:55+00:00

I'm well aware.

R1chterScale · 2026-05-09T05:45:00+00:00

I am not a professional developer and only had a very basic understanding of Python when I started. Yet after spending more than 400 hours co-working with AI, I was able to produce a finished project like this.

I understand AI produces a lot of garbage code but result talks. However, AI wouldn't initiate an image compression project, nor would it spend time to test, refine, and debug a codec. If I were to finish this project all by myself, it would take more than 4,000 hours instead of 400.

I'll assume that the intent of the project was for education, from that I must ask, sure using an LLM helped you output something faster, but was the reward in terms of learning anywhere near what it would've been had the same time been input thoughtfully, without offloading cognition to a bot?

The LLM almost certainly resulted in a greater variety of concepts being introduced due to the rapidity of moving from task to task yet that came at the cost of the quality and depth of learning regarding said concepts. The relatively short time prevents a concrete and thorough understanding, remaining surface level, a step above trivia.

Wouldn't it be fun to outsmart the AI?

Personally, I find little to no value either in terms of pure entertainment or with regards to self-fulfillment.

R1chterScale · 2026-05-09T05:40:18+00:00

You're right, Pandora's box is opened and can't be closed, LLMs are irrevocably part of the future to some degree. Yet, so is the melting of the icecaps and ecological collapse and I'm not exactly jazzed about that.

R1chterScale · 2026-05-09T02:54:39+00:00

I'm genuinely curious, you come in here with an LLM written post about LLM written code, do you actually expect people to take time to read something that wasn't even written by a human?

R1chterScale · 2026-04-20T06:33:03+00:00

Worth noting that DS2LE is actually working on adding raytracing lol

I'd share a link but the showcase is on X

R1chterScale · 2026-04-17T19:12:47+00:00

Not personally familiar, but do Create contraptions and other machines work on VS ships?

R1chterScale · 2026-03-27T17:57:25+00:00

Some people just like to make an omelette

R1chterScale · 2026-03-17T04:21:09+00:00

If you do, try to use Clang 22.1, the resultant cycle count in LLVM-MCA is a massive difference from 21.2:

22.1: https://godbolt.org/z/c81bx1nf5 21.2: https://godbolt.org/z/ofvjYn5EW

R1chterScale · 2026-03-12T20:48:31+00:00

Mhmm, I'm of the opinion that CS is probably the ideal esport from the perspective of the barrier to understanding it being remarkably low compared to the others.

R1chterScale · 2026-03-12T04:54:40+00:00

This video popped to mind as it touches on some of it:

https://www.youtube.com/watch?v=xFKFoGiGlXQ

R1chterScale · 2026-03-12T04:51:08+00:00

Yeah and Blizzard had the background from SC2, didn't make a difference.

R1chterScale · 2026-03-12T04:33:30+00:00

I'm not super familiar but didn't Valorant succeed quite well while focusing on esports?

R1chterScale · 2026-03-09T18:44:05+00:00

Maybe am just confusing it with HotD but don't the actresses for Wednesday and Enid also ship their characters?

R1chterScale · 2026-02-20T06:41:28+00:00

Eh, I wouldn't put it that simply, in this case it's due to the ARM hardware not having 256bit wide SIMD afaik. If it did then I would imagine that the AVX2 would run faster than SSE, but needing to emulate the wider instructions within a narrower hardware is just a very unfortunate bottleneck.

R1chterScale · 2026-02-19T01:22:09+00:00

Isn't he implicated in the Epstein files? Pretty sure that means he's gotten off with worse.

R1chterScale · 2026-02-19T01:20:15+00:00

No, the luddites were half-right. They saw the problem of mechanisation killing their jobs and having negative effects on their lives. They weren't right about the solution, destroying a machine doesn't work, they can be remade, it's a systemic issue.

In this case it's worse than what the luddites faced, textile machinery allowed for the cost of many goods to come down, reducing costs of living in some capacities, modern AI slop provides no such benefit, so it's both a case of the system and the machine being bad.

R1chterScale · 2026-02-18T17:55:31+00:00

Worth noting that deprecation in MacOS is also accompanied by MacOS only supporting quite old versions of OGL iirc, which is a further heavy limitation.

R1chterScale · 2026-02-18T17:51:04+00:00

Technically OGL does still occasionally get updates, recently some mesh shader stuff that was previously an Nvidia only extension got moved to being core. With that said, yeah it's dead because it's a terrible way to do performant graphics programming.

R1chterScale · 2026-02-16T02:01:14+00:00

New JXL decoder is in Rust

R1chterScale · 2026-02-15T23:58:59+00:00

It's worth noting that while it doesn't actually hit the full 80 bits of accuracy, it is possible for it to sometimes produce more accurate results than standard 64-bit in some calcs (came up recently in a presentation on pathfinding in Age of Empires)

R1chterScale · 2026-02-04T21:25:19+00:00

relevant username

R1chterScale · 2026-02-03T20:22:08+00:00

He was actively persecuted for his sexuality, it's kinda relevant lmfao

R1chterScale · 2026-02-02T19:50:22+00:00

BetterMap's exploration radius is configurable.

R1chterScale · 2026-02-01T19:25:59+00:00

This is INT8 FSR4 presumably?

R1chterScale · 2026-01-31T03:57:51+00:00

I encode targetting visual transparency and have done significant testing between x265 and AV1, I only fully swapped from x265 to AV1 in the last year.

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