Or press Ctrl-S and take a nice walk outside

Just remember that lifetime means Plex’s lifetime, not yours.

I switched from Kubuntu to CachyOS last week, after 10 years or so. CachyOS is based on Arch, and did not disappoint so far, extremely fast, makes Ubuntu look old and sluggish. It’s really impressive. The basic installation was easy. The GUI package manager isn’t as polished but works. A little bit of terminal tweaking was required to install some packages (VMM and KRDC gave me some trouble) but the documentation was ok. Absolutely can recommend.

You could still be identified by a lot of factors and the combination of those. IP address, email if provided, cookies + referrer on clicked links or loaded external images, browser fingerprint, clues from actual content in comments and posts, … It’s not that hard, a whole industry lives on this kind of surveillance data collection.

Not OP, but the votes being public (not only on comments but also on posts) make it really easy for someone with malicious intent to generate a profile on your interests, political and sexual orientation, health/mental issues, addictions and so on. It’s a goldmine of data that should be protected.

I had a similar situation yesterday, albeit not with 26.04, but the previous version. After a regular update it reverted to software rendering. What fixed it was selecting the non-open Nvidia driver with “sudo software-properties-qt”. Initially the options were greyed out, this was fixed by removing all old Nvidia drivers, and then “sudo ubuntu-drivers install”. The default open driver stopped working for some reason.

That happens when you think you don’t need experienced software devs any more, because the AI can do everything now. A seasoned developer/devOp/admin would have known that the production environment needs to have different credentials from staging and these need to be protected. If that is not possible with railway then it’s simply not a good product to use and (again) a good dev/admin would have seen this in the initial evaluation phase. Not preventing AI access to the production environment from the start is the third grave mistake. However, there’s none of it in the “lessons learned” section of the article. You have learned nothing and are bound to repeat your mistakes.

Good analogy. I’m gonna steal that :D

I don’t doubt that it is possible to create good code when focusing on programming best practices etc. and taking the time to check the AI output thoroughly. Time however is a luxury most of the devs in those companies don’t have, because they are expected to have a 10x code output. And thats why the shit hits the fan. Bad code gets reviewed under pressure, reviewers burn out or bore out and the codebase deteriorates over time.

This approach to coding is exactly what creates the problem. They will find out the hard way if they can continue to be productive when something breaks and AI is not available for whatever reason. Does anyone know how to fix it? Is the documentation sufficient to understand what the AI did?

It’s just “Copilot” for everything in Windows these days

There is an aspect mentioned in there which hits the nail on the head for me. I’m not a game developer, but a developer nonetheless, and this ongoing AI debacle is taking a toll on my mental health too. I know very well that LLMs are not going to replace me, and that most of it is just hype, ignorance and stupidity by people who don’t have a clue about what’s involved in software development.

But that’s beside the point really. What hurts is the blatant disregard of human skills and craftsmanship which are necessary for making good software, and this a level of disrespect to me and my profession which is hard to swallow. Furthermore, the uncertainty and mayhem created in the industry over what is basically a lie (there is no intelligence in AI) makes it really really difficult now to work. It’s a massively frustrating shit show of delusional people and I’d rather become a goat farmer.

Can someone explain to mr why these people are buying Mac Minis to run this in a “safe” environment and then they go on and connect it to the internet and give the AI credentials to all their cloud accounts? This seems excessively moronic to me? Am I missing something?