Who cares? Just like most things your average programmer relies on, they are written by smarter or at least more specialised people to make your job easier. They have learned to write memory-safe code so you don’t have to.

Back on reddit, I mostly interacted with communities relating to JRPGs. There are some communities over here, but at most they post some trailers every now and then. There are also some more focussd communities about Dragon Quest, Xenoblade or SMT - all of them practically dead. I don’t think there is an instance.

I could go over to a programming related one, the german instance or even one of the vegan instances for secondary ‘interests’, but those aren’t things I often find myself posting about online to be honest. They seem to be mostly about memes anyways.

Unfortunately, there is no instance matching my interests. There are a number of communities across different instances, but it seems like several people tried to make their own, didn’t interact with each other and all of them are long dead.

Once I find such an instance, I’ll switch over. I’ve been meaning to leave .world anyways.

While I do agree with the problems identified, I can’t help but think they also made forums a lot better. Due to the lower discoverability and higher effort to actually join communities felt more personal. You interacted with smaller groups and came to know specific people. I still have friends from back then.

On larger platforms, I never had that. Even lemmy, which is small in comparison has enough people that I barely even think about specific users. Let alone speak with them on a personal level.

They very much are for a lot of people. Lines goes up, you can give yourself a nice bonus payout and if things come crashing down you leave. With your golden parachute of course.

The kernel is probably too large to rewrite the whole thing at once. This could lead to a future without any new C kernel devs, leading to stagnation, while the Rust kernel could be many years away from being finished. (Assuming we actually move away from C.)

At that point you might as well just start an entirely new kernel and hope it is good enough to eventually replace the Linux one once all devs are gone. Kinda the X11 and wayland thing.

That’s probably the main reason to reason to ban AI. They want a mostly clean training set and they will probably add their own AI answers to each question as well.

My only windows machine left still runs Winamp. It may be old, but at least for playing my offline library, I really don’t know what they could possibly change. For everything else, I wouldn’t use Winamp anyway.

The main draw of xmonad is that you can modify pretty much everything, as the config itself is a Haskell file (the entire thing is written in Haskell). There are tonnes of modules to use, you can define your own window layouts and add whatever functions you can dream off - I haven’t seen any other window manager offer this kind of freedom (with the added joy of learning Haskell!).

As for the second point, about half a year ago, they started doing exactly this. Rewriting xmonad for Wayland. Guess I’ll sit this one out.

I just set up xmonad because I was in the mood for change. Took about a week of tinkering a bit each day and I really like it. Afterwards, I was still in the mood for configs and looked at Wayland. There isn’t much progress on Wayland xmonad, so guess that has to wait.

That’s a common problem I’ve been hearing for almost 10 now - the software support isn’t quite there yet.

I don’t necessarily disagree. You can certainly use LLMs and achieve something in less time than without it. Numerous people here are speaking about coding and while I had no success with them, it can work with more popular languages. The thing is, these people use LLMs as a tool in their process. They verify the results (or the compiler does it for them). That’s not what this product is. It’s a standalone device which you talk to. It’s supposed to replace pulling out your phone to answer a question.

I don’t expect a correct answer because I’ve used these models quite a lot last year. At least half the answers were hallucinated. And it’s still a common complaint about this product as well if you look at actual reviews (e.g., pretty sure Marques Brownlee mentions it).

Obviously the only contexts that would apply here are ones where you expect a correct answer.

That’s the whole point, I don’t expect correct answers. Neither from a 4 year old nor from a probabilistic language model.

1% correct is never “fairly high” wtf

It’s all about context. Asking a bunch of 4 year olds questions about trigonometry, 1% of answers being correct would be fairly high. ‘Fairly high’ basically only means ‘as high as expected’ or ‘higher than expected’.

Also if you want a computer that you don’t have to double check, you literally are expecting software to embody the concept of God. This is fucking stupid.

Hence, it is useless. If I cannot expect it to be more or less always correct, I can skip using it and just look stuff up myself.

I haven’t seen much of them here, but I use other media too. E.g, not long ago there was a lot of coverage about the “Humane AI Pin”, which was utter garbage and even more expensive.

“Fairly high” is still useless (and doesn’t actually quantify anything, depending on context both 1% and 99% could be ‘fairly high’). As long as these models just hallucinate things, I need to double-check. Which is what I would have done without one of these things anyway.

Why are there AI boxes popping up everywhere? They are useless. How many times do we need to repeat that LLMs are trained to give convincing answers but not correct ones. I’ve gained nothing from asking this glorified e-waste something, pulling out my phone and verifying it.

35, actually. The graphic is a few years old.

Half of them fly, that’s pretty impressive.

Haskell? Curry? Maybe even Brooks.