Lemmy feature request: Show my negative “karma” in my profile page. You can make it opt-in if you must.

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Joined 1 year ago
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Cake day: June 6th, 2025

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  • Wow! What an observant smart thought.

    Well, except for the fact that code conversion doesn’t give you the permission to change licenses or remove copyright. And the small matter of fact that both projects mentioned are Canonical projects, where whatever code that is not directly copyrighted by Canonical, is contributed by someone who signed an agreement with this stipulation:

    (b) To the maximum extent permitted by the relevant law, You grant to Us a perpetual, worldwide, non-exclusive, transferable, royalty-free, irrevocable licence under the Copyright covering the Contribution, with the right to sublicense such rights through multiple tiers of sublicensees, to reproduce, modify, display, perform and distribute the Contribution as part of the Material; provided that this license is conditioned upon compliance with Section 2.3.

    “Us” being Canonical of course. So they could actually “re-license” the projects right now, without changing a single line of code.

    It’s always astonishing how condiment in their ignorance people are when it comes to these matters.

    You geniuses are getting too predictable with your ignorance.

    I literally wrote what’s quoted above yesterday replying to someone else.


  • A lot of people interested in tech end up watching at least one of his channels

    I don’t watch YouTube at all outside of a couple of 70+ years old personalities who do some weekly commentary (not in English or tech related).

    Zero search/feed/side-bar “consooming”.

    Slop-sumption is not unavoidable. You just need to learn how to value your time, and develop a simple objectivity/knowledgeability filter.


  • I’m not even saying ditch the phone just minimize usage of it

    This is the correct take.

    I never used the Graphene meme and the shit American Baidu hardware it runs on (security and phone were always an oxymoron regardless). But I was on custom ROMs from around CyanogenMod 3 until Lineage 21. I also owned phones with the highest-end Snapdragon SoC’s.

    Over the years, I went from everything unlocked in the open, to “hiding root” to disabling root (I realized I didn’t even need it anymore). And now I deliberately downgraded to a lower-end phone running stock ROM. And even with that, there is an APP from a utility company that refuses to run because the phone has an unlocked bootloader, which was needed to properly recover the phone. So my next phone will be completely stock. Never again.


    Most people here tend to be on the younger side. So while their hearts are in the right place, and tend to agree with a lot of genuinely good stuff. They are also very susceptible to falling for memes and becoming a part of circle jerks (they are still r*dditors at heart after all). They also just lack maturity and experience to be able to value situations with less emotion and wishful thinking, and more nuance.

    And I didn’t even mention the fact that 📲 is actually their primary online device 🥲.


  • I2P is a fully connected network where everyone is a relay, a UDP transport exists iirc, and there are many other significant technical differences.

    And if you’re dreaming of significant masses moving to the shadows, you might as well dream of them using distributed solutions. Otherwise, the monsters will simply find and shutdown the hosts/servers of whatever the good kids are consuming.

    There is a connection between August and freedom. Do you know what is it?



  • Make sure you’re using a fast linker. Although I think lld is the default now, so that should be less of a concern these days. But see if mold or wild would help.

    More relevantly, you should be using cranelift for codegen in dev builds.

    If you have codegen-units = 1 in your release profile, make sure you have a separate dev profile that doesn’t.

    If you still experience decapitating slowness (doubtful), and it’s actually the rust compiler being slow (super doubtful), you can try the parallel frontend. Apparently there are almost™ no bugs left in its implementation (It’s one of the project priorities now).

    Needless to say, but you should be checking your --timings to really know what’s going on.


  • LRU inversion: the problem with not caring about it is that it’s not a visible problem until it very suddenly is. Your system will not gradually degrade but very suddenly and unpredictably hit a wall that it cannot get itself over.

    All this talk just confirms my feelings that there is a general lack of understanding of actual modern workloads.

    RAM (normal w/wo zram) doesn’t get full, then stay full forever in real workloads. Not only is that not realistic at the “opened apps”/“running processes” level, it’s not real at the heap allocation level within tasks within processes. And this is much more pronounced with code written in modern languages like Rust and some styles of C++. Modern heap allocators batch and cache (primarily to help with performance). But still, A LOT of memory is getting allocated and deallocated all the time, even from the kernel’s PoV.

    LRU itself is an imperfect approximation, not a goal. In the setup described in my other comment (fast SSD swap storages only used sparingly most of the time), so called LRU inversion gets auto-cancelled relatively quickly, as free space in RAM(+zram) gets available all the time, and some “LRU-hot” pages in SSD swap turn out to be actually cold, and those ones are the only ones that actually stay there.

    This is why, I would imagine a lot of fake scenarios, and “benchmarks” based on them, may fail to replicate the practical reality of many (overall system) use-cases.


    More tangentially, the oversized concern for file caching pages also points to specific aligned use-cases in mind, as if everyone is running DB-centric workloads or something.


  • This is not a good thing btw. Any unused anonymous page takes up space that could instead be used for file-backed pages that make your system faster.

    Can you expand here. I think my attempt at brevity in this part wasn’t helpful.

    Swap is not tiered storage!

    I meant tiered with priorities only, yes.

    Cool tech but it’s dead and was quite niche even when it was alive.

    We are not talking about the original purpose of Optane as supported on Windows. It’s just a (perhaps somewhat outdated) example of a storage device “smaller but faster than your average SSD storage”, which is very much not did tech.

    Not a thing you actually want to use for swap

    Depends on the use-case. But yes, this can also be used as the fastest disk tier/priority of normal swap devices, which is why I mentioned both.

    This makes no sense at all unless you are extremely space-constrained on the NVMe and absolutely must not OOM – even if progress stalls to an absolute crawl.

    Why would you want to see killed processes when you go back to your workstation, in the 1/10000th scenario where something runs amok pushing memory usage to unexpected high levels? When you can simply investigate the reason behind the rare occurrence, then move all the pages off the slowest devices immediately with swapoff?



  • Alright, I will only reply to you, since you raised a fair question.

    First of all, I must admit that I thought what was linked was an earlier similar writing, but the general theme is still the same.

    The problem with the writing is that it focuses on use-cases like Android and some servers, but doesn’t take into account other use-cases. It also seems to come with the assumption that setup is done by the distributor only, or if it’s done by the user, it’s a configure-and-forget situation.

    What he represents is:

    • Limited RAM space
    • Swap will always/often happen (outside of (z)ram)
    • Single tier of non-RAM swap
    • Non-ram swap is significantly slower
    • OOM can be preferable over (outside of ram) swapping
    • Swapped out pages stay where they are until they are required by their process (important).

    Now let’s look at a possible modern workstation setup:

    • Large RAM size
    • Swap is rarely hit, especially if set up with zram.
    • Multiple swap tiers beyond zram/zswap
      • Intel Optane disk used as a super-fast zram write-back device, or a high-priority swap
      • Fast NVME disk used as a second tier swap disk
      • Large HDD swap partition used as a third tier swap disk
    • The biggest consideration is avoiding worst case latency, i.e. hitting HDD swap.
    • Killing processes MUST be avoided, unless exceptional circumstances are hit where the kernel’s OOM would kick in anyway. This holds true even when HDD swap starts getting used.
    • When unusual loads are observed, swapped pages can be moved around by the user (or a tool), by turning swap devices off and on. This is how you can empty the HDD swap partition for example.

    This last point in particular should make it clear why his “imagination” was rather limited in his LRU inversion section.





  • Why do you think 32GiB is special compared to 16GiB?
    And wtf is EasyOOM?

    You maximize the usefulness of zram by actually increasing sappiness, and giving zram devices high priority. e.g.

    sysctl vm.swappiness=100
    
    for i in {1..8}; do
      swapon /dev/zram${i} -p 32767
    done
    

    Then you enable other swap devices with lower priority.

    This is the way regardless of how much RAM you have. I mean, it may be pointless if you never ever exceed, let’s say 10/32GiB (including caching). But it still wouldn’t be harmful in any way.