Interesting question. I live in Belgium and… well first of all I don’t care for Christmas. I do like to celebrate with family and friends but the religious celebration itself, no. Second I never actually considered it. I do love snow and ice. I recently took on ice skating and… even though I also love the Summer where I can roller blade and skate, knowing that something else is coming is a genuine joy.

So… I can’t speak for others but I absolutely love the Winter, from hot chocolate to waffle outside to ice skating, hikes in the snow then relaxing by the file place, there is just so much to look for during that season that … never dreamt of “a green Christmas”.

Edit: I actually had one last year, going to Madeiras, Portuguese island West of Morocco, North of Africa, and… that was fine too. Honestly truth is I don’t really care where and how as long as we share a good time.

Indeed, came to add spreadsheets, e.g. LibreOffice Calc or OnlyOffice on NextCloud if you want it Web based. If it’s “good enough” to manage the budget of countries, huge corporations, etc and is taught in schools, it’s probably good enough for a household.

Come join us at https://framacolibri.org/c/peertube/38 and possibly check what already exists, e.g. https://www.npmjs.com/search?q=peertube-plugin-

I’m not sure I fully understand what you need but I know the forums are quite dynamic.

Interesting question which to be honest I can’t really answer myself… but I’d basically inquire by taking the flip-side of https://www.protondb.com/

Namely gamers like me usually check ProtonDB to see what they can play. Here it would be interesting, and I’m 99.99% sure Valve does that already, to check which games do not work and what’s the commonality behind them. It means one can then identify the gaps and try to address them.

Still, to venture an ELI5 answer : games are usually build for Windows. Games are using “bricks” like Lego to avoid re-inventing the wheel. Instead of having a health bar, a game developer might use a “health bar” brick. When you have a collection of such useful bricks, you typically call that a library. That library then makes the work of a game developer much easier but not all libraries are made equal. Some popular libraries target only Windows and thus the bricks make assumptions on how the software running the computer, the operating system, works. So… what Valve does is trying to make new bricks to stack on so that game developers don’t even have to use libraries they are not familiar with. They “just” use their typical bricks, Valve “injects” in between their new compatibility bricks and voila, unbeknown to the game developer, their Windows game works on Linux!

Yes indeed, I’ve followed that from afar (as I generally mostly play offline, definitely not competitively) so I hope this will be the final missing piece.

I’m basically just using Steam with SteamVR on the Index, no tinkering in there.

I also tried other things, e.g. Monado, streaming to headset, etc but in practice I prefer to “just” play when I’m playing and for that the Index works great.

Not exactly, clarified ;)

Apologies I wasn’t clear. I actually I work “on” VR, namely I’m a software developer who write VR/AR code.

Still though… I also do work “in” VR as I have numerous demo where I’m coding in the headset. Most recently you can check this 1min video https://www.youtube.com/watch?v=CGvc4kNXiUY that I did for https://futuretextlab.info/ and it’s all open source, cf https://git.benetou.fr/utopiah/text-code-xr-engine/src/branch/fot-sloan-companion . To clarify a bit I drag&drop file on my (Linux) filesystem and they are reflected in AR in that example. I can open them, manipulate them, if it’s code (here JavaScript and AFrame) it can live reload part of the scene, etc.

I’m also working “in” VR for the NLNet sponsored project xrsh aka XRshell https://nlnet.nl/project/xrsh/ where thanks to WASM we basically put a (small) Linux system with its terminal on a Web page and thus can code and work in the headset.

use Linux without a DE. […] (/j)

… actually (tip fedora hat) not but seriously actually most of what we NEED is fine that way. It sounds ludicrous then you try Sxmo on a phone and you can’t help but GENUINELY wonder “Damn… did I get scammed all those years?”

Because people ask for an IDE, rather than an editor, I will say :

Vim + terminal(s) + containerization (e.g. Docker CLI, Python venv) + live reloading (e.g. nodemon or inotify or in the browser using e.g. server side events) + repository management (e.g. git in CLI to juggle between branches, push/pull local/remotely)

IMHO this is very VERY light (0 wait even on a RPi Zero) and yet very flexible.

Also most of that can be “saved” via e.g screen the CLI tool, allowing to have named windows in a terminal and a lot more than to e.g. screen -raAD, locally or remotely.

What games specifically? Just replied https://lemmy.ml/post/23699393/15632445 literally minutes ago

I work in VR, I play in VR, including Windows games, all on Linux. No specific problem for me on that front.

The only bastion left is anticheat. Everything else are just (bad) old habits fueled by marketing.

in any way shape or form

I’d normally accept the challenge if you didn’t add that. You did though and it, namely a system (arguably intelligent) made an image, several images in fact. The fact that we dislike or like the aesthetics of it or that the way it was done (without prompt) is different than how it currently is remains irrelevant according to your own criteria, which is none. Anyway my point with AARON isn’t about this piece of work specifically, rather that there is prior work, and this one is JUST an example. Consequently the starting point is wrong.

Anyway… even if you did question this, I argued for more, showing that I did try numerous (more than 50) models, including very current ones. It even makes me curious if you, who is arguing for the capabilities and their progress, if you tried more models than I did and if so where can I read about it and what you learned about such attempts.

Language models on their own do indeed have lots of limitations, however there is a lot of potential in coupling them with other types of expert systems.

Absolutely, I even have a dedicated section “Trying to insure combinatoriality/compositionality” in my notes on the topic https://fabien.benetou.fr/Content/SelfHostingArtificialIntelligence

Still, while keeping this in mind we also must remain mindful of what each system can actually do, not conflate with what we WANT it do yet it can not do yet, and might never will.

Image gen did not exist in any way shape or form before.

Typical trope while promoting a “new” technology. A classic example is 1972’s AARON https://en.wikipedia.org/wiki/AARON which, despite not being based on LLM (so not CLIP) nor even ML is still creating novel images. So… image generation has been existing since at least the 70s, more than half a century ago. I’m not saying it’s equivalent to the implementation since DALLE (it is not) but to somehow ignore the history of a research field is not doing it justice. I have also been modding https://old.reddit.com/r/computationalcrea/ since 9 years, so that’s before OpenAI was even founded, just to give some historical context. Also 2015 means 6 years before CLIP. Again, not to say this is the equivalent, solely that generative AI has a long history and thus setting back dates to grand moments like AlphaGo or DeepBlue (and on this topic I can recommend Rematch from Arte) … are very much arbitrary and in no way help to predict what’s yet to come, both in terms of what’s achievable but even the pace.

Anyway, I don’t know what you actually tried but here is a short list of the 58 (as of today) models I tried https://fabien.benetou.fr/Content/SelfHostingArtificialIntelligence and that’s excluding the popular ones, e.g. ChatGPT, Mistal LeChat, DALLE, etc which I also tried.

I might be making “the same mistake” but, as I hope you can see, I do keep on trying what I believe is the state of the art of a pretty much weekly basis.

Might open up a GDPR related issue there. I don’t think people using such a library assume they need connectivity nor that their data would be send to a 3rd party.

What an impressive waste of resources. It’s portrayed as THE most important race and yet what has been delivered so far?

Slightly better TTS or OCR, photography manipulation that is commercially unusable because sources can’t be traced, summarization that can introduce hallucinations, … sure all of that is interesting in terms of academic research, with potentially some use cases… but it’s not as if it didn’t exist before at nearly the same quality for a fraction of the resources.

It’s a competitions where “winners” actually don’t win much, quite a ridiculous situation to be in.

Thanks for the clarification. I checked the code you linked and noticed recognize_google and seems it’s relying on https://github.com/Uberi/speech_recognition which then seems to rely on https://github.com/Uberi/speech_recognition/blob/master/speech_recognition/recognizers/google.py so basically are they using an API, sending all the audio data to Google servers?

I used pandoc for this.

Please come back and share if it’s done better or worst and if so along which dimensions. Quite curious to better understand the differences.