remix2000

I don't use the dummy plug for display, it's only that consumer nvidia gpus won't have working 3D acceleration if there is nothing physically connected to the card. My dummy plug doesn't support the resolutions I run games at anyway.

EDIT: Ok, correction, I bothered to go unplug the dummy plug and it still works. So I was wrong, Sunshine does not need a dummy plug at all, not even on Nvidia. Now it remains a mystery why I have one in the first place if it's useless after all…

Now you try working with a fake in your head's place! :þ But yeah, real head (a monitor; doesn't have to be on) also works just as well, and even no head at all works, just won't accelerate 3D. Arbitrary resolutions also work. My only complaint with sunshine is that the webui authentication is really broken. Fortunately I don't need to go there much.

Nvidia GPUs refuse to accelerate 3D w/o an output connected; if I had a Radeon, I wouldn't need the plug, it's just an Nvidia thing I believe.

Afaict, Moonshine relies on a separate graphical session running on your monitor and that's how it gets around that limitation of Nvidia GPUs. If I had a monitor plugged in to my box, Sunshine would work just as well.

But Sunshine _is_ headless, I would know if it weren't, I'm using it as such (albeit with a dummy plug, but that's just a hardware limitation).

Wow, Firefox never fully loads the page, while WebKit fails to load it altogether, instead it displays "Operation was cancelled" in system font after a short freeze. I didn't manage to see the images change in any way as the post would suggest though, which left me confused.

https://en.wikipedia.org/wiki/HTML_Application always been there waiting to be discovered

I thought I'm the hardest to impress gremlin out there, but despite what the comments here look like, this is the best looking and practical MD3 CSS I've seen to the time. Not fond of promoting ethanol consumption though.

Missed opportunity of tricking llms into mining crypto xþ

Here in northern Europe, there just isn't enough sunlight to not become deficient, so a vitamin D supplement is a must.

Isn't CEC available for all in-tree GPU drivers using DP-to-HDMI passthrough? (although I do imagine Nvidia would still be preferred for a custom build, perhaps with a USB CEC injector)

You could run java literally anywhere it matters with not too much effort, but ios store terms would never allow for mods anyway (neither would ps/xbox/ninty store probably), so you could just as well redirect effort to optimize for platform specific audiences, AKA in this case kids wielding their parents' credit card.

Well the difference here is that you're overly simplifying complex biology and many other factors whereas llms are in fact actually simple mathematical models. As always, the devil lies in the details. Dismissing intricacies is a useful tool for daydreamers, not so much for engineers.

Calling llm slop "hallucinating" is so counter-productive imo. After all, LLMs are just a variant of markov chains and as such this technology isn't able to discern falsehoods from truths. It's like trying to use a barometer to tell the time.

It seems like this CSS Quake needs JS to run…

Dunno the actual number, but one thing I'm certain is that it must be closer to $0 than $26 trillion on a number scale.

3⅓ bpc linear RGB sales pitch oughtta be as close as we get to selling time to a clock before the markets collapse

Make it fast on older desktop, by writing asm for SSSE3+ chips

I guess 5 years ago (around the time when Intel stopped making SSE-only chips) is technically "older", but I wouldn't prioritize avx2 when devices intended for consuming media definitely experience much less pressure to upgrade than workstations…

Rust is impl-first bottom-up and it's stuck with a single implementation and GCC for Rust is still in the works, meanwhile C++26 reflection is already in GCC trunk.

I don't believe there will ever be any artificial intelligence, not with Markov chains (next token prediction), not otherwise. Especially not now when the current ML hype is already winding down. And yes this is a matter of belief since I don't think any science precludes agi from existing nor is there any reason to be sure it could someday materialize. I honestly would rather believe societal collapse hits us before agi can even be theorized.

"quit my FAANG job" as in they simultaneously worked in Facebook, Amazon, Apple, Nvidia and Google? Or did the op work at Netflix and is too ashamed to admit that :P

Nvme SSD, user-replaceable.

My macbook was UMA and memory compression has been used everywhere for dozens of years now. Symbian had memory compression. Is it just apple users catching up to what a snappy computer actually feels like…? (Doubt, since as I said I used Apple before) The article doesn't address the world outside apple either, and Darwin is objectively slow by its obsolete architectural design, down to the kernel. And not a single objective measure was brought up in replies, so it's my experience vs theirs. Not helpful.

Linux is a shitshow when it gets OOM, it takes at least half an hour to get out of it, if it ever does. Windows is not much better.

That's why you usually want a userspace early oom service. Most preconfigured distros ship one by default. Linux is mostly focused on embedded targets, not servers or workstations. There is not a notion of mobile-style app lifecycle either, not in freedesktop environments that is, but XDG portals are working on addressing that sometime in the near future.

In contrast, the other day the Force Quit window showed up on my Mac Studio because the OS was running low on memory

Windows does that at since like XP and likely earlier. BeOS did that before Darwin based macOS was a thing. On Linux, I don't know which distros do that, but you're definitely much more likely to see an app die rather than be asked whether to kill it. Freezing, once again, is a result of not having a [working] early oom service.

Linux is not that bad, but traditional freedesktop model kind of is.

It's still much better than mac OS.

Also those replies just look like bots, they were really fast and not providing any value, that's what I meant.

Two accounts, both lowercase four random letter names respond to me within two minutes time apart, what do I make of it? :P

Either way, I find it hard to believe memory management would vary so much between those two CPU architectures on a single-codebase OS.

Source…? I see this claim thrown around so much without any backing and my experience with mac os (and other darwin variants) is just terrible. My previous portable was a 2015 mac book pro with 16 (!) gigs of ram (mind-blowing for 2026 standards, I know) and the os just became terribly and unbearably sluggish with all the useless updates (that nb mostly removed features, e.g. ClearType was wiped off the face of the Earth in back in mac os Mojave) caking on, at some point I just gave up on trying to fix it with continuously reinstalling and balancing it. My current portable has quarter the amount of workmem and is just incredibly snappy esp. compared to that mac book. And I don't even use portables for anything too heavy, I have an actual PC for that.

Luddites didn't protest against automation, but rather against inhumane working conditions in factories and smashing their machines just happened to be efficient at destroying profit. So in a way, you could say luddites acknowledge technology for what it is, it's just techbros who fail to comprehend basic facts about machine learning and pushing text compression models as a replacement for everything they (don't) know anything about.

You could turn clothing descriptions into embeddings and have a fashion vector database

Well, that assumes descriptions are extremely accurate down to the last seam, which is not true. You'd be better off considering reviews and photos, esp. user provided photos, you also need to take into account the model/s in the photos are not necessarily shaped the same as you, so you need to somehow counter that bias in training. This is simply not a task achievable with current ml techniques, however again, feel free to prove otherwise.

(and ftr, I'm of course making a basic assumption that we're past the topic of markov chain/'llm' based chat bots at this point? Those are completely irrelevant to the goal of categorizing clothes based on some characteristics [i.e. the so-called 'vibes'])

Ah so what they meant was like a 'vibe coded' a scraper? I thought they meant something like turning descriptions/reviews/photos of clothes into embeddings, as in like sentiment classification but way beyond that? Because the latter would be somewhat cool if it's actually achievable (I doubt it is tho…)

(I mean honestly the project idea[?] they posted sounds like daydreaming some science fiction scenarios, otherwise with all the hype and investment around chat bots, this way of shopping would definitely be mainstream already. If it weren't daydreams, that is. But if my grandma had wheels, she would've been a bicycle, no…?)

Okay but then 'AI' is just a noise generator when it comes to very specific information… I mean just try asking any chat bot to search for something like specific photography gear for some specific scenario and in my experience it's just as good as simply picking some random stuff, except the chat bot will also gaslight you into thinking you made the right choices, so you don't question them… :/

You scrape sites, okay, but what's "ai" got to do with that (I assume ai means chat bots in this context?)

I'm genuinely curious, whatever you're doing sounds cool, but more details beyond the buzzword pitch you'd tell your manager would be welcome on a hard technical site like hn?

(ftr, I'm skeptical of all applications of machine learning, but I keep experimenting with all the various kinds of it, generally with no good result; last real-world useful [to any extent] ml model I tried was BASnet, but whatever you tinkered out sounds cool and if it actually scrapes and filters clothes the way you describe, that'd be quite cool [perhaps even product worthy…?], cuz there are way too many clothes online to look at all of them manually and then esp. on fast fashion sites, there are oftentimes reviews you want to be wary for that indicate low quality products… anyway, that just sounds impossible to automate in my experience, but feel free to prove otherwise)