The nice thing is, you can pretty easily run both and switch around. Just get a distro with one, and then it’s usually just 1 or 2 commands to get the other as a choice on the login screen. KDE and Gnome apps are also largely compatible, regardless of desktop environment.

I’ve been using KDE mostly, it’s just nice being able to customize it so easily without too much technical knowledge of the environment or hoping someone already made an extension for it like on Gnome. Then again, some may like the simplicity of shopping around for extensions and calling it a day, or later even editing the extensions.

Recently, for my tiny laptop I switched to gnome, it’s also just pretty :)

Wait, how the fuck are only Central Europe, Finland and Estonia in support of encryption. What the actual fuck people?

I started programing at such a young age that I don’t even remember how it went. Makes it difficult to teach as I find it hard to relate to newbies. I’m quite used to just learning my self and sometimes hitting roads that lead to nowhere. In the past that I actually remember, I’ve only been learning new paradigms, deepening my understanding of low level stuff and mastering my art. Hardly stuff I can give along to a newbie.

The launch of this games is a tragedy. Such a neat indie game that almost died due to hype and lies.

Ey! Reminds me of my middle-school years! I still can’t belive I made an entire game without a single class… Just storing info in arrays and writing in comments what location represents what data. But I was a literal child, too young to read guides or sit through “long” tutorials.

I don’t want to sound too mean, but whenever I see anything similar at work, I wish that person get a job they’re actually good at. It’s fine and all that the company started hiring actual programmers to fix things, but the fact that the old crew still fucks shit up with senior privileges is a major grievance.

Jesus, reminds me of a similar story. My gf once lost a job to someone who literally just pasted code into LLMs, also delivering quickly, even tho it was hot garbage. Anyhow, she spent a lot of her time fixing his shit and so her output went down. I hope that company burns to the ground with completely un manageable software.

I finally switched when I got truly familiar with the terminal in collage and then I happened to get a hand down pc to play around with. Installed Linux on it, and it surprisingly quickly became my main computer, especially once I got it a proper graphics card.

The fact that we’re still following the US example of what to allow is sad.

The god damn warning labels on absolutely fucking everything. Bro, I just wanna eat at a restaurant without wondering why the menu has a god damn “at your own risk” label… Also can’t go 1 step in a water park without seeing a life guard, they’re fucking everywhere. Not to mention on the rare occasion they aren’t there, you just can’t do shit. Land of the free my ass, feels like the optimal way to do anything is to always have a lawyer by side.

Emulation is the only reason I ever was a nintendo fan at all. I despised consoles for everything they stood for. Stripped down computers with a very shitty shelf life, and now paying for your own internet twice??? I used to emulate a lot and jumped on the delusion bandwagon that nintendo is good, which led me to beg my parents to buy me a wii and later a switch on launch day. Now that their games are also kinda shit, there’s very little insensitive anyways. Fuck nintendo.

Because the people with power funding this shit have pretty much zero overlap with the people making this tech. The investors saw a talking robot that aced school exams, could make images and videos and just assumed it meant we have artificial humans in the near future and like always, ruined another field by flooding it with money and corruption. These people only know the word “opportunity”, but don’t have the resources or willpower to research that “opportunity”.

Can’t speak for the science libraries as I’ve never used em, and I’ll gladly just blindly accept that as truth, but for everything else it’s always a pain in the ass. For being designed to “run on anything” it sure is funny that 90% of the time I download a python app it doesn’t fucking work and requires me to look up and manually setup a specific environment for it. Doesn’t help that the error messages are usually completely random and unrelated to this…

I always dread when some fucking madman makes the installer for their app in python, knowing it’ll probably fail… God forbid it’s a script that’s supposed to modify something else. Always a good time for reflection upon the choices that led me to this point.

Even my old scripts I kept around for sentimental value. Half of those don’t work either, and I can’t be bothered to figure out what version I made em for.

I tried my best to scrub python from my pc out of principle, but as you say, it’s soo common my distro uses it as a dependency, fucking bullshit!

Nobara :)

Assuming I’m an android fan for pointing out that Apple does shady PR. I literally mention that Apple devices have their selling point. And it isn’t UNMATCHED PERFORMANCE or CUTTING EDGE TECHNOLOGY as their adds seems to suggest. It’s a polished experience and beautiful presentation; that is unmatched. Unlike the hot mess that is android. Android also has its selling points, but this reply is already getting long. Just wanted to point out your pettiness.

Big leap for OpenAI, as in a kind of ML model they haven’t explored yet. Not that big for AI in general as others have done the same with similar result. Until they can make graphs where they look exceptionally better compared to other models than their own, it’s not that much of a breakthrough.

Dang, OpenAI just pulled an Apple. Do something other people have already done with the same results (but importantly before they made a big fuss about it), claim it’s their innovation, give it a bloated name so people imagine it’s more than it is and produce a graph comparing themselves to themselves, hoping nobody will look at the competition.

On a side note they also pulled an Elon. Where’s my realtime AI companion that can comment on video in realtime and sing to me??? Ya had it “working” “live” a couple months ago, WHERE IS IT?!?

This process is akin to how humans learn…

I’m so fucking sick of people saying that. We have no fucking clue how humans LEARN. Aka gather understanding aka how cognition works or what it truly is. On the contrary we can deduce that it probably isn’t very close to human memory/learning/cognition/sentience (any other buzzword that are stands-ins for things we don’t understand yet), considering human memory is extremely lossy and tends to infer its own bias, as opposed to LLMs that do neither and religiously follow patters to their own fault.

It’s quite literally a text prediction machine that started its life as a translator (and still does amazingly at that task), it just happens to turn out that general human language is a very powerful tool all on its own.

I could go on and on as I usually do on lemmy about AI, but your argument is literally “Neural network is theoretically like the nervous system, therefore human”, I have no faith in getting through to you people.

In theory. Then comes the question of how exactly are you gonna teach/train it. I feel our current approach is too strict for proper intelligence to emerge, but what do I know. I honestly have no clue how such a model could be trained. I guess it would be similar to how people train actual braincells? Tho that field is very immature atm… The neat thing about the human brain is, that it’s already preconfigured for self learning, tho it does come with its own bias on what to learn due to its unique needs and desires.

They are indeed. It has multiple steps, but pretty much. 3Blue1Brown has a nice visual explanation: https://www.youtube.com/watch?v=wjZofJX0v4M

You can think of the brain as a set of modules, but sensors and the ability to adhere to a predefined grammar aren’t what define AGI if you ask me. We’re missing the most important module. AGI requires cognition, the ability to acquire knowledge and understanding. Such an ability would make larger language models completely redundant as it could just learn langue or even come up with one all on its own, like kids in isolation for example.

What I was trying to point out is that “neural networks” don’t actually learn in the way we do, using the world “learn” is a bit misleading, because it implies cognition. A neural network in the computer science sense is just a bunch of random operations in sequence. In goes a number, out goes a number. We then collect a bunch of input output pairs, the dataset, and semi randomly adjust these operations until they happen to somewhat match this collection. The reasoning is done by the humans assembling the input output pairs. That step is implicitly skipped for the AI. It doesn’t know why they belong together and it isn’t allowed to reason about why, because the second it spits out something else, that is an error and this whole process breaks. That’s why LLMs hallucinate with perfect confidence and why they’ll never gain cognition, because the second you remove the human assembling the dataset, you’re quite literally left with nothing but semi random numbers, and that’s why they degrade so fast when learning from themselves.

This technology is very impressive and quite useful, and demonstrates how powerful of a tool language alone is, but it doesn’t get us any closer to AGI.