I can't control my off-brand external monitor brightness connected from my laptop on w11, but I can just fine on Linux out of the box no fucking around needed

cross-posted from: https://piefed.blahaj.zone/c/NiceMemes/p/806252/it-really-will

cross-posted from: https://lemmy.world/post/48153873

I've been running 0807, a small self-hosted file host.

The idea is simple: drop a file, get a short link, and pick when it disappears.

A few things that might interest people here:

• No account, no ads, no trackers
• Auto-delete by time (1 hour up to 30 days, or never) or by a max number of downloads
• Optional password protection on files and notes
• Files up to 4 GB
• Reachable over Tor via an onion service
• Text notes with the same self-destruct and password options

Some file types are blocked for safety (exe, bat, scripts, etc).

Happy to answer questions about the setup or take feedback. It's at v1.1 so I'm still iterating.

I have nearly every service imaginable running and have now started a new project.

I am creating a searchable stock photo archive for my lan. It has been a very interesting project but think i may have crossed the line into overkill lol.

I had hundreds of stock photo cds from the 90s I have turned them all into ISO's.

I then spent ages dealing with some strange cdrom layouts but got all the images off.

I then converted them all to JPG.

I have now setup a batch script that dedupes then takes the images in 2k batches, runs them through a ai vision model to add keywords and descriptions; as they have none.

They are then copied to a folder where I have photoprism running as the front end and I only have 4k done so far but they look amazing and the search and descriptions are really accurate and useful.

400k more images to go but at least it should all be automated now.

Hello,

As the title suggests, how do you manage your DBs for docker services.

Do you spin a new DB for every new docker cluster or do you have a centralized DB that is accessible to the docker clusters.

What are the pros and cons of both method?

For the moment, I spin a new DB for every services as I feel it is easier to backup the service in case of a problem.

cross-posted from: https://piefed.social/c/movies/p/2138520/monopoly-movie-lionsgate-developing-two-new-takes-exclusive

Today's game is Jedi Fallen Order. I buckled in and plowed through it. I'm like 90% sure i'm near the end, but i've been going through getting the last collectibles i missed. Dathomir was a nightmare, which sucks because it was the first one i did. All the plants and stuff made it hard to navigate, plus i missed a secret spot. Luckily the Percentage tracker made it a little easier.

I have to say that Merrin right now is my favorite Non-Cal-character. I like her whole dynamic she had with Cal and all the Night sister stuff she has going on is cool too see.

Since i'm nearing the end i wanted to go back and try and recreate one of the earliest pictures i remember taking of this game with the Bogling. Way back when i first started.

I also did Oggdo Bogdo. I wanted the achievement for slicing his tongue off (which sounds more morbid now that i'm saying it out loud), but i didn't realize i had to force pull him when he tongue attacks me.

Anyways, i'm gonna try and power through getting all the collectibles before finishing the game. It's only 4 more Planets so i don't think it will be too hard, just tedious. We'll see though. I want to try and build up that kind of dedication.

I'm a Windows guy since forever and I recently got into selfhosting. So far its a blast! Are posts about that welcome here?

cross-posted from: https://piefed.world/c/tech/p/1194333/x-accused-of-giving-racists-impunity-after-refusing-to-bar-n-and-p-word-posts

The "Atomic Arch" campaign compromised over 1,500 AUR packages between June 10-12, targeting SSH keys and API tokens. If you updated via yay or paru during that window, you need to audit your local system.

I’ve built a client-side tool to help with this.

Local Processing: Your package list never leaves your browser. All comparisons are done client-side.

Live Data: It fetches the verified malicious list directly from the official Arch servers (md.archlinux.org) to ensure it's always current. Zero Bloat: No trackers, no ads, no cookies. How to use:

1. Run pacman -Qm
2. Paste the output into the tool

when datasets are scaled up to the volume of (partial) internet, together with the idea that scale will average out the noise, large dataset builders came up with a human-not-in-the-loop, cheaper-than-cheap-labor method to clean the datasets: heuristic filtering. Heuristics in this context are basically a set of rules came up by the engineers with their imagination and estimation to work best for their perspective of “cleaning”. Most datasets use heuristics adopted from existing ones, then add some extra filtering rules for specific characteristics of the datasets. I would like to invite you to have a taste together of these silent, anonymous yet upheld estimations and not-guaranteed rationalities in current sociotechnical artifacts, and on for whom these estimations are good-enough, as it will soon be part our technological infrastructures.

In 1980s, non-white women’s body size data was categorized as dirty data when establishing the first women's sizing system in US. Now in the age of GPT, what is considered as dirty data and how are they removed from massive training materials?

Datasets nowadays for training large models have been expanded to the volume of (partial) internet, with the idea of “scale averages out noise”, these datasets were scaled up by scrabbling whatever available data on the internet for free then “cleaned” with a human-not-in-the-loop, cheaper-than-cheap-labor method: heuristic filtering. Heuristics in this context are basically a set of rules came up by the engineers with their imagination and estimation that are “good enough” to remove “dirty data” of their perspective, not guaranteed to be optimal, perfect, or rational.

The talk will show some intriguing patterns of “dirty data” from 23 extraction-based datasets, like how NSFW gradually equals to NSFTM (not safe for training model), and reflect on these silent, anonymous yet upheld estimations and not-guaranteed rationalities in current sociotechnical artifacts, and ask for whom these estimations are good-enough, as it will soon be part our technological infrastructures.

Licensed to the public under http://creativecommons.org/licenses/by/4.0