Even in the past I’ve had nowhere near as many non-GPU related issues. Some GUI elements in Gnome just did not work, and at one point I was getting low USB power errors even though the USB drive and port were known good. The amount of workarounds I had to attempt to implement before settling on Debian was insane.

I actually had my most difficult time ever setting up Linux on my 5800X3D and 3070 recently.

PopOS wouldn’t save my resolution on reboot, and then after fixing it all of my games were running at the wrong resolution or breaking in various frustrating ways. All Linux native games too. Jumped to Fedora and every single game flickered like mad and then once I got that fixed my package manager inexplicably broke. I was about to install Ubuntu before saying fuck any chance of instability and going to Debian.

I had to manually install way more than any of the other distros, but everything just worked once I got my graphics driver installed. I was really disappointed given I’ve been using Linux on and off for 8 years, and my Steam Deck has been nothing but solid. I’m honestly just disappointed things have trended in a bad direction, and I hope this was just a one off experience and not the norm now.

Ask and ye shall receive

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It is. There were tons of articles too about the concept when it first came out since it was one of the first in a major AAA game. People were super into it as well.

Yes? I work in the identified healthcare data space, but work close to people in the unidentified space and even something as personal as health data can be obfuscated in such a way it’s impossible to trace back to an individual. Not to mention whatever they’re logging is surely many orders of magnitude less identifiable. They also have an entire page dedicated to answering these types of questions and concerns.

Aggregate data doesn’t mean no client side data. It’s possible they’re collecting aggregate level client data too. They could go further and collect data on individuals that is not identifiable or useful to law enforcement in any way. I can think of a few ways to get anonymous usage data that allows you to improve your service while protecting your users. I don’t know their scheme but they clearly don’t need overly invasive forms of analytics as they have a solid service.

Quality of service is usually only useful with aggregate data which is worthless for prosecuting an individual.

If you have the technical knowledge (or ability to follow instructions) you can setup your torrents behind a VPN using qBittorrent and gluetun in one docker container, and Plex/Jellyfin in another with a shared volume between them. It provides you near bullet proof protection due to the isolated environment and prevents accidentally clicking those .mp4.exes since it abstracts file management away from you. It’s also super user friendly once set up even if you’re not running a media server 24/7 and just want it for your desktop.

If you wanna get fancy you can use the *arr suite of software to do some magic fairy shit including automatic indexing (searching dozens of torrent sites simultaneously), but that can quickly become a deep rabbit hole. Once setup though it’s seamless and kicks ass.

Should be at least double in the US since it would be consultancy work which brings higher taxes (1099 vs W2) and no benefits. A $500 full day consultation is super cheap.

Every method I’ve encountered in the past was thwarted by a good ole VPN. This was all on unlocked or rooted phones though so YMMV work carrier phones.

I’m a Zoomer with a Dell Optiplex running Ubuntu server, an 18 TB HDD, and 35 years of combined seed time. I’ll let you fill in the gaps. Many of us are extremely tech literate and often share our Plex/Jellyfin instances with friends. Many of these not-so-etch-literate friends ask how they can do this for themselves using their computers and we shoot them over instructions.

Piracy is infinitely easier/more accessible than ever. It’s spreading like wildfire and thanks to the FOSS community anyone with a spare evening can get themselves up and running very quickly.

Not OP, but I just use ZeroTier for this since it’s dead simple to setup and free. I’m sure there’s some 100% self-hosted solutions, but it’s worked for me without issue.

I’d say it’s more convenience than elitism.

I’m in BTN and it’s the only indexer I use for my Sonarr instance because it has absolutely everything. I’ve never not been able to find something and almost everything I download will saturate my 1.2 Gbps connection.

For Radarr I don’t have any private trackers and it takes 35 public trackers to get coverage that is almost as good. The options I’m given are way less organized and download speeds are a gamble. It’s not really an issue because I rarely watch movies, but I definitely understand why private trackers are so sought after. I’ll eventually try to get into some smaller ones which tend to be pretty easy to do.

Auto save with Google Docs style snapshots has so little overhead I’d hardly consider it a trade-off. We have insane amounts of disk storage and extremely reliable non-volatile memory. The only reason against it that I can conceive of is confidential data you don’t ever want to exist outside of volatile memory.

All modern word processors use auto save and it kinda blows my mind libre does not do this.

That was a pretty interesting read. However, I think it’s attributing correlation and causation a little too strongly. The overall vibe of the article was that developers who use Copilot are writing worse code across the board. I don’t necessarily think this is the case for a few reasons.

The first is that Copilot is just a tool and just like any tool it can easily be misused. It definitely makes programming accessible to people who it would not have been accessible to before. We have to keep in mind that it is allowing a lot of people who are very new to programming to make massive programs that they otherwise would not have been able to make. It’s also going to be relied on more heavily by those who are newer because it’s a more useful tool to them, but it will also allow them to learn more quickly.

The second is that they use a graph with an unlabeled y-axis to show an increase in reverts, and then never mention any indication of whether it is raw lines of code or percentage of lines of code. This is a problem because copilot allows people to write a fuck ton more code. Like it legitimately makes me write at least 40% more. Any increase in revisions are simply a function of writing more code. I actually feel like it leads to me reverting a lesser percentage of lines of code because it forces me to reread the code that the AI outputs multiple times to ensure its validity.

This ultimately comes down to the developer who’s using the AI. It shouldn’t be writing massive complex functions. It’s just an advanced, context-aware autocomplete that happens to save a ton of typing. Sure, you can let it run off and write massive parts of your code base, but that’s akin to hitting the next word suggestion on your phone keyboard a few dozen times and expecting something coherent.

I don’t see it much differently than when high level languages first became a thing. The introduction of Python allowed a lot of people who would never have written code in their life to immediately jump in and be productive. They both provide accessibility to more people than the tools before them, and I don’t think that’s a bad thing even if there are some negative side effects. Besides, in anything that really matters there should be thorough code reviews and strict standards. If janky AI generated code is getting into production that is a process issue, not a tooling issue.

I mean if you have access but are not using Copilot at work you’re just slowing yourself down. It works extremely well for boilerplate/repetitive declarations.

I’ve been working with third party APIs recently and have written some wrappers around them. Generally by the 3rd method it’s correctly autosuggesting the entire method given only a name, and I can point out mistakes in English or quickly fix them myself. It also makes working in languages I’m not familiar with way easier.

AI for assistance in programming is one of the most productive uses for it.

This feels like when the Mighty Morphin’ Power Rangers combined to make the Megazord.

I’m cautiously optimistic because despite their solution being simple in nature it will still take a fuck ton of work and community effort to get the proposed Protonfix DB going. With that said I have no doubt this will be awesome once it’s completed, and I cannot wait to try this out! Stuff like this makes me wish I was a systems/OS dev and not backend/API/cloud.

Which indirectly led to this wild as fuck bug that nuked some poor user’s data.

https://youtu.be/qzZLvw2AdvM?si=FznMm9CQxD-da9S6

I’m forever grateful to have been on Kaiser my entire life, and that all my employers have had it as an option.

It’s expensive up front (~$5k per year, my employer covers it thankfully) but the most I’ll ever pay per year out of pocket is $1500. Office visit/urgent care is $10, ER is $100 and waived if you’re admitted, prescriptions are $20, and the most expensive surgery I could get is $150 which includes the hospital stay if needed. My partner got sterilized for like $35. The biggest thing for me is my therapy is free so long as it is virtual (my therapist is 4 hours away by car anyway), and $10 for an in person visit if I make the hike.

It’s absolutely wild how much one’s experience can vary with the healthcare system in the US based on their insurer alone.

Pixels come with built in transcription software that can transcribe any audio played by the device. It’s super useful for watching videos on mute in public, or providing closed captions for applications that don’t support them. It’s incredibly accurate and better/faster than every other transcription software I’ve used. It’s also local too thanks to the on-board Tensor chip.