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InitialsDiceBearhttps://github.com/dicebear/dicebearhttps://creativecommons.org/publicdomain/zero/1.0/„Initials” (https://github.com/dicebear/dicebear) by „DiceBear”, licensed under „CC0 1.0” (https://creativecommons.org/publicdomain/zero/1.0/)AN
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2 yr. ago

  • It's not really special treatment. Generally, it's understood that the defendant will use a bond company and put up a fraction of the cash. They are trying to balance the defendants appeal rights with not postponing the judgement forever. He's actually tying up significantly more money this way than he would with a bond.

    The actual judgement, should he lose appeal, isn't reduced.

  • 3 or 4 years, including on Nvidia machines. I'll admit it took fiddling to get working awhile ago. Nowadays I use my desktops AMD iGPU as the main display driver and offload the rendering to the Nvidia card for intense programs or games, best of both worlds.

  • This is almost entirely misdirected. The success of Wikipedia is from its human structures, the technical structure is close to meaningless. To propose a serious alternative you'd have to approach it from a social direction, how are you going to build a moderation incentive structures that forces your ideal outcomes?

    Federation isn't a magic bullet for moderation, alone it creates fractal moderation problems.

  • So this is probably another example of Google using too blunt of instruments for AI. LLMs are very suggestible and leading questions can severely bias responses. Most people using them without knowing a lot about the field will ask "bad" questions. So it likely has instructions to avoid "which is better" and instead provide pros and cons for the user to consider themselves.

    Edit: I don't mean to excuse, just explain. If anything, the implication is that Google rushed it out after attempting to slap bandaids on serious problems. OpenAI and Anthropic, for example, have talked about how alignment training and human adjustment takes a majority of the development time. Since Google is in a self described emergency mode, cutting that process short seems a likely explanation.

  • The original UE5 seemed slightly premature, the 5.1 and 5.2 updates were significant and non trivial to update to. It also seems like a tool that gives you enough rope to hang yourself. Unlike Unity, everyone gets ready access to the full engine source code. Fortnite runs UE5, so the performance isn't inherently bad.

  • The headline is pretty misleading. The full quote states this being the studios debut game made several factors major problems. UE5 as the engine, a highly competitive genre, and a new IP made nearly insurmountable obstacles. For comparison, Doom Eternal, their obvious AAA competitor, was from a veteran studio with a legendary IP built on literal decades of custom engine experience. On the other hand, a game like Ultrakill can compete by having an incredibly tight scope.

  • Arch for stuff I have physical access to. Nothing's ever gone wrong, so it's worth it for the immediate updates and consistency with my other systems. For VPS I use Debian though, occasionally the unstable/Sid branch if I really need the latest updates. There are almost always Debian images available on a VPS.

  • If I'm understanding this right, and this basically an API that lets you pick which app store administers an app, that could be quite helpful, not harmful. I currently have fdroid, play store, and Samsung store, and I assume they try to update apps by the fully qualified name, as multiple stores show and try to update a single app instance, sometimes with weird results.

  • Compression is actually a mathematical field that's fairly well explored, and this isn't compression. There are theoretical limits on how much you can compress data, so the data is always somewhere, either in the dictionary or the input. Trained models like these are gigantic, so even if it was perfect recall the ratio still wouldn't be good. Lossy "compression" is another issue entirely, more of an engineering problem of determining how much data you can throw out while making acceptable compromises.

  • This is a classic problem for machine learning systems, sometimes called over fitting or memorization. By analogy, it's the difference between knowing how to do multiplication vs just memorizing the times tables. With enough training data and large enough storage AI can feign higher "intelligence", and that is demonstrably what's going on here. It's a spectrum as well. In theory, nearly identical recall is undesirable, and there are known ways of shifting away from that end of the spectrum. Literal AI 101 content.

    Edit: I don't mean to say that machine learning as a technique has problems, I mean that implementations of machine learning can run into these problems. And no, I wouldn't describe these as being intelligent any more than a chess algorithm is intelligent. They just have a much more broad problem space and the natural language processing leads us to anthropomorphize it.

  • I think about it like a tree structure for both. With a gui you have to move your mouse around to various places, with a cli each character branches off into another tree. Mathematically you can handle more options faster with a CLI.

  • This was true maybe 10 years ago, nowadays Linux has better driver support than Windows. Printers, networking, input devices, everything I've tried is plug n play with Linux, Windows you gotta driver hunt.

  • Curiosity, back around 2010 before I was a teenager. No clue how I heard about it, but the concept of replacing the entire operating system was fascinating. I figured it must be really good if it was such a well kept secret.

    A few years later, when I started to learn programming, Linux was the obvious winner. The online course taught C in a Linux environment, and I was amazed that the default Ubuntu build at the time had everything built in, whereas a Windows equivalent required visual studio and licensing adventures.

    It really stuck as a daily driver after Windows 7, where a clear trend emerged: Windows got in my way, Linux got out of my way. Simple as.

  • Forgejo is my go to, I ran it in a GCP micro instance, which has 768 MB ram and a piddling processor. One of my friends works for a company that had all their devs run a local instance in addition to the main repo, it was that light.

    Gitea is the former go to, but gitea was hijacked and stolen from the community by a for profit company. Forgejo is currently a drop in replacement fork, but with added privacy features, future federation options, and a reputable parent organization.

  • Architecture emulation for current gen games is exceptionally unlikely right now. At a fundamental level, wine/proton doesn't change the instructions the code describes, rather it translates the input and output. It's a reimplementation of the same instructions in Windows. For architecture crossing you'd either have to create virtual hardware, which adds tremendous overhead, or recompile the binary. Recompilation is theoretically possible, but for x86_64 to ARM64, for games no less, it's beyond the realm of mortals. It's like how some jokes can't be translated between languages; the structure and vocabulary is just too different.

  • I use Arch for my daily, and I would highly recommend against it for new users. 99% of the time it's just fine. 1% of the time some edge case sneaks by and you update before a fix is pushed. In those cases, I've had installations be deeply broken, far beyond my expectations of normal users.

    For actual recommendations, something Debian based for sure. Vanilla Debian, Mint, or Mint Debian edition. If you wanna live on the edge, Sid is rolling but in my experience was more stable than Arch.

  • Recently got a Onyx Boox Ultra and it's incredible compared to my previous Kobo. Basically, its 10" with stylus input and a keyboard case. The special sauce is it running Android, complete with the Google store. The display tech is advanced enough that normal apps, for instance Connect for Lemmy, work fine. I have mine setup with Syncthing, Home Assistant, Obsidian, it all just works, mostly. I'd recommend using a 3rd party launcher and not touching the Onyx account, though.

    I've had great experiences with Kobo, though. I literally went through 4 models because they kept upping their game. They're less sketchy than Onyx and are very open; you can load your own books of nearly any format and modify it as it runs linux. You can even completely replace the OS.