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Cake day: September 11th, 2023

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  • It is absolutely more of a development board than one meant even for early-bird adopters. The processing power is more on-par with a Raspberry Pi. Here’s a review of another development board using the same processor: https://bret.dk/risc-v-starfive-visionfive-2-review-jh7110/#Geekbench-6

    Compare the Geekbench 6 scores to the Ryzen 7040HS in the Framework 16: https://browser.geekbench.com/v6/cpu/4260192

    As the review author explains, Geekbench 6 is a bit unfair to the JH7110 since it’s missing some processor extensions, but even if we pretended it had a similar lead over the Pi 4 as it does on the Unixbench suite, it’d still be an order of magnitude behind the AMD processor.

    You’re not really gonna be gaming on this thing, and you might not have a great experience even with normal desktop productivity software. These boards are likely gonna be relegated mostly to compiling code and running tests.

    If a future revision is a little more powerful though, it could maybe make for a decent netbook. At just $200 it could also be a pretty good value for the education sector, maybe as a dev board for systems programming courses.










  • Technus@lemmy.ziptoLinux@lemmy.mlFish 4.0: The Fish Of Theseus
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    1 month ago

    Fish is a great shell, but whenever I SSH into another machine I end up having to do everything in Bash anyway. So the fact that Fish is so different often ends up being a detriment, because it means I have to remember how to do things in two different shells. It was easier to just standardize on Bash.

    I might try daily driving it again when this release hits the stable repos, I dunno.



  • Unlike every other metal known since antiquity, gold doesn’t tarnish or oxidize or decay. It’s the very embodiment of purity and immortality. It invokes the divine. If you make something out of gold and you keep it safe, it’ll look pristine indefinitely. This also makes it great as an offering to (the) God(s).

    Silver tarnishes, but very slowly and can easily be polished to a mirror finish. This makes it well suited to make “nice” things where gold isn’t necessarily appropriate or cost-effective, and it can be added to gold to bulk it up and improve its material properties without ruining its luster.

    Copper tarnishes quickly and forms a green patina in salty sea air, and the vast majority of ancient settlements happened to be on the coast. It’s still a useful metal, but it has to be kept up, a constant reminder of one’s mortality. It’s more suited for tools and cookware than as an offering to God.

    Rarity helps a lot with this too, of course. It doesn’t matter how immutable gold is if you can just find it anywhere. This also means it’s great for turning into coinage with your face on it, to remind everyone exactly who’s in charge.

    Once upon a time, pure iron used to be even more valuable than gold. Before we learned how to smelt it, pure iron was extremely rare, and the only pure iron that could be found on or in the Earth’s surface came from the heavens (meteoric iron). Finding a pure chunk of iron was tantamount to winning the lottery.

    The same goes for aluminum. Despite being one of the most abundant elements in Earth’s crust, pure aluminum almost never occurs naturally. In the 19th century, people had cutlery made out of aluminum because it was fancier than silverware. It only dropped in value once we started to refine it on an industrial scale, which involves electrolyzing molten alumina, requiring an immense amount of power.

    Long story short, value is relative. Iron and aluminum got cheap because we figured out how to make more and more of it. Gold and silver remain precious metals because they only got rarer and rarer as more people went looking for them, and their value only went up as we started finding practical uses for them.




  • so they wanted to sell Itanium for servers, and keep the x86 for personal computers.

    That’s still complacency. They assumed consumers would never want to run workloads capable of using more than 4 GiB of address space.

    Sure, they’d already implemented physical address extension, but that just allowed the OS itself to address more memory by enlarging the page table. It didn’t increase the virtual address space available to applications.

    The application didn’t necessarily need to use 4 GiB of RAM to hit those limitations, either. Dylibs, memmapped files, thread stacks, various paging tricks, all eat up the available address space without needing to be resident in RAM.




  • Problem is, AI companies think they could solve all the current problems with LLMs if they just had more data, so they buy or scrape it from everywhere they can.

    That’s why you hear every day about yet more and more social media companies penning deals with OpenAI. That, and greed, is why Reddit started charging out the ass for API access and killed off third-party apps, because those same APIs could also be used to easily scrape data for LLMs. Why give that data away for free when you can charge a premium for it? Forcing more users onto the official, ad-monetized apps was just a bonus.


  • These models are nothing more than glorified autocomplete algorithms parroting the responses to questions that already existed in their input.

    They’re completely incapable of critical thought or even basic reasoning. They only seem smart because people tend to ask the same stupid questions over and over.

    If they receive an input that doesn’t have a strong correlation to their training, they just output whatever bullshit comes close, whether it’s true or not. Which makes them truly dangerous.

    And I highly doubt that’ll ever be fixed because the brainrotten corporate middle-manager types that insist on implementing this shit won’t ever want their “state of the art AI chatbot” to answer a customer’s question with “sorry, I don’t know.”

    I can’t wait for this stupid AI craze to eat its own tail.