nfms

I think it's from the time where things were done manually and round lines were a pain to draw. There wasn't AutoCAD and undo features in a neat software 🤣

I've had the same path as you. Arch has been the simplest distro I've tried. And with archinstall it's a breeze.
I've also found that Plasma 6 takes away most of the hassle with setting up a desktop - for my use case.
Been using a PC since Win 3.1 and it's by far the most stable system I've ever had

Eu uso este https://github.com/dullage/flatnotes.
Eu não tenho nenhuma nas minhas notas, mas na página diz que tem suporte para imagens

I've been using the Asus BT400 without any issues in different distros. But I'd always recommend a cable mouse if you have a stationary setup

NixOS is the sort answer. It's reproducible across hardware. But I've never tested it.

You don't get an email with the meeting minutes?

"Most" is different from every non American Indigenous (which is the majority) is an alien in the USA. Of course, Europeans were the cause of that :)

And the download page is so simple

Do you have desktop or laptop?
For desktop, I recommend getting an HDD for storage. They're cheaper, I bought a 4tb Seagate Ironwolf for less than 100€.
I also have a 1tb nvme, where I store things that require fast reads like my gaming collection while the system is installed in an SSD. (The parts were not bought at the same time). For laptop, you might want to stick to what you have inside and just get a good external USB. The usual brands are still good and I think prices have flatten across the industry.

I forgot the "/s" at the end 😀.
But on that point, Nintendo's actions are making it more difficult for me to play on my switch.

Energy wasted to create an AI image to have more energy wasted to have an AI remove it. I'd say this is a win for AI

The "statement" was taken from the study.

We conduct the first large-scale user study examining how users interact with an AI Code assistant to solve a variety of security related tasks across different programming languages. Overall, we find that participants who had access to an AI assistant based on OpenAI's codex-davinci-002 model wrote significantly less secure code than those without access. Additionally, participants with access to an AI assistant were more likely to believe they wrote secure code than those without access to the AI assistant. Furthermore, we find that participants who trusted the AI less and engaged more with the language and format of their prompts (e.g. re-phrasing, adjusting temperature) provided code with fewer security vulnerabilities. Finally, in order to better inform the design of future AI-based Code assistants, we provide an in-depth analysis of participants' language and interaction behavior, as well as release our user interface as an instrument to conduct similar studies in the future.