I wrote step by step instructions for installing windows repacks on linux using Lutris. https://sopuli.xyz/comment/9858101

I install FG Dodi and Gnarly repacks and ElAmigos updates this way. I have only had weird bugs with ~5 that would only unpack in a Windows VM and 2 that needed native Windows (BG3 and Until Dawn) but tbh I have a feeling its an AMD issue not a wine issue

What do you mean they’re failing to install? That sounds like a wine issue.

Sometimes games just work better on previous wine versions so it might be worth trying a couple of those.

I haven’t played the game but it seems to be DX11 so DXVK probably needs to be installed to the prefix

Towards the end of the FG installer, there is usually an option to download the dependencies so make sure you have those installed with winetricks to the correct prefix. C++ Redist download option here refers to vcrun in winetricks and its probably vcrun2022 since the game is new.

Is it defaulting to using your integrated graphics instead of the discreet gpu?

You could also add it as a non steam game in steam since proton will be set up properly to see if it runs better.

Edit:

470

Do you need to update your drivers? 470 came out in April 2021. DXVK only supports 510 and later so d3dcompiler instead of dxvk should be used but a driver update would be better.

2 accounts consistently reporting the same IP, location and user habits etc being linked is more absurd than nobody ever noticing excessive uploaded data from their phones? It is very easy to monitor the amount of uploaded and downloaded data on a device, lots of people would have noticed by now. The amount of storage, bandwidth and processing power that would be required to monitor the audio from hundreds of millions of android users globally 24/7 would make this the dumbest business decision ever when there are so many easier and efficient ways to track users.

Use uBlock Origin, you’re being redirected by ads. I tested downloading Icarus just now and this is where the links led to. gamebounty -> filecrypt -> datanodes. Datanodes started the download, ~30GiB 7zip file. I didn’t get any ads or redirects using Ublock Origin and a Firefox based browser.

I would suggest reading the very top of the megathread, the part that says" Not so fast sailor! Do this first"

Just tar and zstd. They’re probably installed by default for most distros anyway.

I think this is what I used when I first tried out zstd https://linuxconfig.org/how-to-install-and-use-zstd-compression-tool-on-linux

Tar supports input from zstd so I put everything on one line.

tar -I 'zstd -v --ultra -22' -cvf YourFile.tar.zst -C /path/to/your/file YourFile

-I takes the input from zstd which is in quotes.

–ultra it should be redundant but for some reason its needed for higher levels of compression.

-22 the highest level of compression offered by zstd.

-c for compress.

-v for verbose.

-f for the file name.

-C excludes the absolute path to the file/directory and just takes YourFile as the file/directory to compress. Its not needed if you’re in the same directory as YourFile.

I would recommend leaving out

--ultra -22

and just test how much compression you get with the default level first because 22 is super slow and if it just can’t compress the file you won’t see any difference in file size compared to the default compression level.

For 3DS games I use NDSTokyoTrim to remove useless data from the game files to make them smaller.

DreamCast, PS1 & PS2 games get compressed to chd with chdman.

GameCube and Wii are compressed to rvz with Dolphin.

PS3 I remove the PS3_UPDATE folder, 256MiB for each game adds up. I also use Gnarly Repacks for PS3 games since they have better compression than anything I’ve tried so far.

Switch games, I use nsz.

Then I use tar with zst on all of them, Nsz and rvz already use zst so theres no change but I just like to keep everything the same accross all of my roms and pc games.

Everything else, GB, NDS, SNES etc all get archived and compressed with tar and zst. For these I’ll also use the --ultra -22 option since they’re small enough files anyway so they don’t take long to compress/decompress. If anyone knows any specific compression/trimming methods that are better than zst, I’d love to hear about them!

Copies of all the tar archives are kept on 2 separate drives and a copy of the games are on my PC in whatever the smallest format is that is compatible with their emulator.

I’d just like to interject for a moment. What you’re refering to as Manjaro, is in fact, Arch/Manjaro, or as I’ve recently taken to calling it, Arch plus Manjaro. Manjaro is not an operating system unto itself, but rather another free component of a fully functioning Arch system made useful by pacman, yay and vital system components comprising a full OS as defined by POSIX.

Am I out of touch?

a writing assistant was one of the most requested features in our recent survey

Apparently, I am. People actually want this

For Proton Mail, 59% of respondents want an easier way to send end-to-end encrypted emails to non-Proton users, while 29% want a writing assistant for proofreading, grammar, and composing emails.

Nothing I hate more than not giving a link to the repo

Scribe relies on open source code and models, and is itself open source and therefore available for independent security and privacy audits

Not on their support page specifically for it either

Had to got to Reddit and look at their comments to find out they’re using Mistral

https://reddit.com/comments/1e68sof/comment/ldsbs24

We built Scribe in r/ProtonMail using the open-source model Mistral AI to empower anyone in need of email productivity to use a privacy-respecting alternative to r/ChatGPT or r/GeminiAI that:
 ❌ doesn’t log or save prompts
 ⛔️ doesn’t use your data for training
 🔎 open-source code that anyone can inspect
 🖥️ can be run locally, so your data never leaves your device
 
See the official announcement here: https://proton.me/blog/proton-scribe-writing-assistant

https://huggingface.co/mistralai/Mistral-7B-v0.1/discussions/8

Hello, thanks for your interest and kind words! Unfortunately we’re unable to share details about the training and the datasets (extracted from the open Web) due to the highly competitive nature of the field. We appreciate your understanding!