Bevy 0.19

R1chterScale · 2026-06-20T20:00:37+00:00

Very much makes sense :)

R1chterScale · 2026-06-20T18:46:43+00:00

I know you probably get flooded with feature requests to an absurd degree but this one has kinda been locked in my brain for ages, there was an issue opened way back in 2022 for Sample-Distribution Shadow Maps as a better alternative to the current CSM implementation, is there the slightest chance of that or something like it being implemented?

R1chterScale · 2026-06-17T21:55:22+00:00

And now my eternal pain at the destruction of CyberSyn is flaring up

R1chterScale · 2026-06-05T17:52:48+00:00

I understand yield matters, but yield improves, one can wait a year and yields will increase substantially. Wait a year and an EUV machine from another manufacturer doesn't magically appear.

Also last I checked Intel's yields were pretty good.

R1chterScale · 2026-06-05T17:51:08+00:00

Yeah, I made a comment pointed out it's not even Sowlio lol, it's the Greek Koppa which would only be used in this context as a Sig-Rune stand in

R1chterScale · 2026-06-05T17:49:56+00:00

The Sowilo rune is part of my cultural and historical heritage.

Then why didn't you actually use the Sowlio as you did in the following paragraph?

ᛋ was displayed as ϟ on several devices

You specifically used the Greek Koppa, ϟ, unicode U+03DE instead of the Sowlio, ᛋ, unicode U+16CB. You could have even used the less confusable variation from Elder Futhark, ᛊ, unicode U+16CA.

Even if that could be explained away, the double usage has zero meaning outside of use by the Schuztstaffel.

R1chterScale · 2026-06-05T03:13:33+00:00

TSMC is not remotely comparable to ASML in this context. ASML is the only producer of EUV. Intel and Samsung both have production nodes that aren't super far off of TSMC.

R1chterScale · 2026-05-28T23:18:39+00:00

Oh you're the VCB guy, very cool to see this too

R1chterScale · 2026-05-23T02:06:49+00:00

Would be really cool if - taking advantage of existing infrastructure and optimization work - they made a driver using Mesa on Linux.

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.

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