• 0 Posts
  • 20 Comments
Joined 1 year ago
cake
Cake day: June 13th, 2023

help-circle

  • fiasco@possumpat.iotoSelfhosted@lemmy.worldHow much swap?
    link
    fedilink
    English
    arrow-up
    9
    arrow-down
    4
    ·
    edit-2
    1 year ago

    I think it’s better to think about what swap is, and the right answer might well be zero. If you try to allocate memory and there isn’t any available, then existing stuff in memory is transferred to the swap file/partition. This is incredibly slow. If there isn’t enough memory or swap available, then at least one process (one hopes the one that made the unfulfillable request for memory) is killed.

    If you ever do start swapping memory to disk, your computer will grind to a halt.

    Maybe someone will disagree with me, and if someone does I’m curious why, but unless you’re in some sort of very high memory utilization situation, processes being killed is probably easier to deal with than the huge delays caused by swapping.

    Edit: Didn’t notice what community this was. Since it’s a webserver, the answer requires some understanding of utilization. You might want to look into swap files rather than swap partitions, since I’m pretty sure they’re easier to resize as conditions change.



  • It goes along with how they’ve stopped calling it a user interface and started calling it a user experience. Interface implies the computer is a tool that you use to do things, while experience implies that the things you can do are ready made according to, basically, usage scripts that were mapped out by designers and programmers.

    No sane person would talk about a user’s experience with a socket wrench, and that’s how you know socket wrenches are still useful.








  • I guess the important thing to understand about spurious output (what gets called “hallucinations”) is that it’s neither a bug nor a feature, it’s just the nature of the program. Deep learning language models are just probabilities of co-occurrence of words; there’s no meaning in that. Deep learning can’t be said to generate “true” or “false” information, or rather, it can’t be meaningfully said to generate information at all.

    So then people say that deep learning is helping out in this or that industry. I can tell you that it’s pretty useless in my industry, though people are trying. Knowing a lot about the algorithms behind deep learning, and also knowing how fucking gullible people are, I assume that—if someone tells me deep learning has ended up being useful in some field, they’re either buying the hype or witnessing an odd series of coincidences.








  • We’d need to see their financials, which is tricky since they aren’t public yet. There’s also the issue, Steve lies about everything, so should we believe he’s telling the truth?

    But my guesses would go like this:

    Since they’ve been spending other people’s money, they probably haven’t been watching expenses closely. Their P&L is probably dominated by payroll and rent. I can’t help but feel that programmers are drastically overpaid, which is a symptom of the same issues, that there’s a lot of other people’s money chasing a finite supply of techbros.

    The reason I think programmers are probably overpaid, by the way, is the number of man-hours they allegedly put in, versus the quality of their output. Reddit is a particularly shocking example of this.

    In any case, the other people’s money doctrine is to grow into profitability, which means burning money on spurious shit until some magic happens. Not exactly a winning business model.