What’s your desktop environment? I’m pretty sure hyperland and sway will give a json output of open Windows.
You could parse that with jq and pipe it into fzf or dmenu?
Not quite the same as the clicking but probably just as quick.
What’s your desktop environment? I’m pretty sure hyperland and sway will give a json output of open Windows.
You could parse that with jq and pipe it into fzf or dmenu?
Not quite the same as the clicking but probably just as quick.
Perplexica is interesting too, but it uses a moderate amount of ram because of elastic search.
And of course you need to have ollama running
It depends how you run it etc. You may have not been using a quantized model.
Yeah that’s been my least favourite experience with Lemmy.
Many replies are hostile and highly opinionated.
I don’t have an answer for your question but it was a good question and it made me curious.
I’m in favour of domestic production but I would always want more information about it.
Perhaps more complex then what you’re hoping for.
But consider taking a look at hyprland. I’ve been very impressed with how modular and smooth this window manager is
I strongly recommend EndeavourOS. You’ll have more flexibility to experiment with different setups and greater access to software.
I often remote into my machine, so it’s a lot easier to type the command.
Sounds like PGP keys?
Well, I can only offer my experience.
I teach programming and Mathematics full-time and I’ve been doing so for the last few years. I must use 20 different machines every semester.
Every single time, windows users cannot install python, they cannot install latex, SQL etc. And of course every single time the machine is riddled with garbage and just opening the start menu takes seconds. It’s probably more correlation than causation, but students on Linux always perform better In the course.
Mac Users certainly have it better but installing basic software (git, fish, ripgrep, neovim etc. ) is still quite challenging.
Much of the teaching staff have been using Linux for the past 5 to 20 years and probably have not relied on Windows since maybe 95/xp/2000 (my old supervisor started on Solaris apparently 🤷)
We sit there amazed that anybody would use this. It runs like shit, It’s riddled with ads, installing software is painful, most software isn’t packaged for it (exceptions being subscription-based software like Adobe), it’s a privacy nightmare and of course you have to pay for the bloody thing.
I guess my point is, maybe you find Linux more difficult than Windows because you’ve been using Windows for the past 20 years and so you’re approaching it from a different perspective.
From our perspective, we could go back to Windows and wouldn’t struggle with the technical side of things too much, but there is no doubt that it’s an inferior experience.
Tbf, this is more HP failing to support their hardware than a failure in Linux to be more flexible and performant.
Yeah as others have said, HP does not have a great reputation for laptops and stuff.
Grab a cheap ThinkPad, they usually work very well.
I started on Linux as a kid and let me tell you, being curious about windows, welp that’s been horrific.
Curious in this case is a strong term, quite a few of my students are on Windows and that OS is a mess. I don’t care much for apple but at least MacBooks work.
An old laptop with qbitorren in a docker container works quite nicely.
All good man.
I think the point is that LLMs can replace people and they are quite good.
But they absolutely shouldn’t replace people, yet, or possibly ever.
But that’s what’s happening and it’s a massive problem because it’s leading to mediocre code in important spaces.
The code was non trivial and relatively sophisticated. It performed statistical analysis on ingested data and the approach taken was statistically sound.
I was replaced by that. So was my colleague.
The job market is exceptionally tough right now and a large part of that is certainly llms.
I think taking people with statistical training out of the equation is quite dangerous, but it’s happening. In my area, everybody doing applied mathematics, statistics or analysis has been laid off.
In saying that, the produced program was quite good.
Mostly internal data cleaning stuff, close etc, which I accept is less in scope than you’re original comment.
My last employer had many internal tools that were fine.
They had only a moderate amount of oversight.
I had to find a new job, I’m actually thinking of walking away from software development now that there are so few jobs :(
It sucks but there’s no sense pretending this won’t have a large impact on the job landscape.
Depends on the use case. Training local llms is a lot cheaper after Galore and there are ways to get useful local models with only a moderate amount of effort, see e.g. augmentoolkit.
This may or may not be practical in many use cases.
24 months is pretty generous but no doubt there will be significantly less demand for junior developers in the near future.
Yeah it’s great! Check it out.
Yeah but wine helps lol