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Joined 1 year ago
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Cake day: September 20th, 2023

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  • They didn’t make a video about it because they thought it was a problem for creators, not a problem for consumers.

    Which is true. Influencers are great at making their thing your thing, because that’s kind of their job, and we’ve seen it many times before. Just look at all the outrage about the YouTube algorithm and such, it doesn’t matter to anyone except influencers but somehow it’s made to be everybody’s business.

    This feels very similar. Scummy business practice, good on them for suing, but to the rest of us it should only be a curiosity.


  • I think you’re spot on with LLMs being mostly trained on these kinds of tasks. Can’t say I’m an expert in how to build a training set, but I imagine it’s quite easy to do with these kinds of problems because it’s easy to classify a solution as correct or incorrect. This is in contrast to larger problems which are less guided by algorithmic efficiency and more by sound design/architecture.

    Still, I think it’s quite impressive. You don’t have to go very far back in time to have top of the line LLMs unable to solve these kinds of problems.

    Also there is no big consequence if they don’t and it’s probably possible to bruteforce (which is how many programming tasks have been solved).

    Usually with AoC part 1 is brute-forceable, but part 2 is not. Very often part 1 is to find the 100th number, and part 2 is to find the 1 000 000 000 000th number or something. Last year, out of curiosity, I had a brute-force solution for one problem that successfully completed on ~90% of the input. Solution was multi-threaded and running on a 16 core CPU for about 20 days before I gave up. But the LLMs this year (not sure if this was a problem last year) are in the top list of fastest users to solve the problems.


  • I hardly see it changed to be honest. I work in the field too and I can imagine LLMs being good at producing decent boilerplate straight out of documentation, but nothing more complex than that.

    I think one of the top lists on advent of code this year is a cheater that fully automated the solutions using LLMs. Not sure which LLM though, I use LLMs quite a bit and ChatGPT 4o frequently tells me nonsense like “perhaps subtracting by zero is affecting your results” (issues I thought were already gone in GPT 4, but I guess not, Sonnet 3.5 does a bit better in this regard).






  • aleq@lemmy.worldtoLinux@lemmy.mlLinux middle ground?
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    4 months ago

    For private use? Hot take, but Arch. It’s easy to maintain and not easy to break at all. I think I spend zero time on maintenance other than running package updates. I only reinstall when I get a new computer.

    (I say for private use only because you’ll be getting weird looks from people if you use arch on a server in a professional setting, and it might break if you try to update it after five years of not doing it since there aren’t any “releases” to group big changes - in practice I run arch on my home server too with no issues)






  • I’m on arch, which I consider one of the larger distros, where most such configuration is very simple. Not sure what rolling mesa is. I probably wouldn’t recommend Ubuntu to anyone who is against using Snap, but there are many distros to choose from if you want KDE as well? It’s more a question of why people would go for Hannah Montana Linux (figuratively speaking, some very niche distro).

    But to respond to your core point, sure. If you do have a lot of customization needs for whatever reason, then by all means. (I still don’t get it)


  • I generally don’t understand why people go for the smaller ones at all. I guess it’s good that someone does to prevent the whole scene being dominated by a single distro, but with some exceptions (e.g. you hate systemd for some reason and really want systemd-less arch, or you have a super niche preferences). For 99% of distros it makes very little difference which one you use, except that you’ll have fewer resources at your disposal (fewer packages, fewer stack overflow threads, fewer everything).


  • Given your background it should come to no surprise that it doesn’t really matter much.

    That said, I recommend Arch with some caveats, mainly with regards to the “very little effort to start using” requirement. If you know how to follow instructions, it should only be about 30-45 minutes to install it. It will on the other hand fit your other requirements of good defaults and not shipping with loads of applications. When you install an app you will get that app and nothing else, and the defaults will either be exactly what the upstream defaults would be if you built it yourself or something very close to that. You also have everything available through the AUR, and after using it for years I’ve yet to run into an update not going smoothly.


  • I’m well familiar with EEE, I’ve used Linux off and on for something like 20 years, back when Microsoft really was the boogeyman. I don’t think VS code qualifies for this category since it was originally (ish, has roots in Atom I think) open source and Microsoft. It was never embraced/extended, and extinguishing their own product makes no sense. (btw I don’t even use VS Code, shit vim plugins in my experience, jetbrains all the way)

    WSL IMO is a concession on Microsoft’s part, because most dev tools nowadays are being made primarily with Linux in mind. It’s what makes Windows at all usable as a development platform in many situations. And pretty much nothing developed specifically for WSL. All WSL has on a normal Linux distro is integration with the host system AFAIK.