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Joined 1 year ago
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Cake day: June 29th, 2023

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  • The go-to monkey paw scenario could work, where they receive immortality, but have to serve the summoned entity forever as deformed (and perhaps always hurting) “things”? However, that is maybe a bit too predictable. What if they mess up the spell and instead mark themselves for sacrifice?

    They slowly realise this due to a symbol appearing on them, which could slowly spread further on their body (maybe hurting too). You could make it more interesting by pitting them against one another by suggesting that only a few have to die for the sacrifice to be complete. If their characters are not that close to one another, it could lead to some interesting decisions on their part, haha.

    The process could span a week or more, where their body gets engulfed more and more by the mark. They could use this time to review what went wrong in the summoning process, and how to potentially reverse it. I’ll leave those details to you, if you’re interested in pursuing this idea :D


  • Piracy. I’d buy albums if I had money, though. I’ll slowly phase into getting them once I get some more cash.

    I can find most stuff I listen to, and I rarely grow my music library. I mostly listen to 20-30 albums, with some more mainstream music peppered in.

    My music library currently sits at 90 gigabytes (mostly flacs), so quite small compared to others I’ve seen around here. Still, I have plenty of variation to keep me entertained :D

    If you have Tidal, aren’t there some apps to rip the lossless audio from there? You could get most of the stuff that you need, and then cancel the subscription. If you feel bad, maybe order some merch from the band, haha.


  • Click for longer opinion

    If I remember correctly, even though Fuchsia is used in production, it is mainly targetting mobile or IoT devices. Nevertheless, the underlying micro-kernel, Zircon, is written in C/C++, which differs from Redox. Now, I’m not saying that Redox solves everything by writing the kernel in Rust. It will require plenty unsafe blocks to achieve what it needs, but it makes you aware beforehand that you should be careful about how you implement that bit of code. Having this clear marking could also make the kernel code review process more likely to catch issues.

    Disregarding this, if I am not mistaken, Redox aims to be a drop-in replacement for Linux one day, both for desktop and server, while Fuchsia only wishes to be integrated in/replace Android. Linux is perfectly fine for most use cases, I am not suggesting otherwise! However, given how many issues resulted from overflow/memory corruption issues that could have been potentially easier to identify if Rust (or any other memory safe language) was used, you’d think that there is incentive to rely on it for kernel development. Linus himself made this decision as well when allowing Rust to be used in the Linux kernel development (albeit perhaps a bit too early).

    The Linux kernel is not flawed, and Redox is probably years away from being even near it. However, having memory-safety from the get-go as a requirement for developing the kernel could lead to fewer exploits, compared to what we have today with Linux. Just as you’ve said, most users are not aware of it/they don’t care, but the big players will care about keeping information safe on their servers. Just to conclude, Redox OS is not just Linux rewritten in Rust, and could potentially have many other benefits that are particularly juicy for data centers. Too bad it’s not production ready yet :D



  • I see your point. However, integrating Rust properly in the Linux kernel is an uphill battle. Redox OS is not at all close to being stable, but it showcases that you can build a Rust kernel from scratch, and integrate it into an OS that meets some of the requirements of a modern one. Of course, considering it a toy project and glancing over its potential doesn’t help with adoption. They even mention in their description that currently they can only support a community manager and a student developer with the current donations. When you compare that to the amount of money and developers involved in the Linux kernel, it’s insignificant.

    I was not suggesting that the Rust For Linux devs jump ship, but it could be beneficial for the investors behind the project to look at alternatives. Heck, the Linux kernel started as a toy project itself. I believe that a team focused solely on such a Rust-only kernel could spearhead needed changes to reach something stable, as opposed to investing time and money into fighting established C developers to integrate a memory-safe language in the kernel fully.




  • Good luck! You can try the huggingface-chat repo, or ollama with this web-ui. Both should be decent, as they have instructions to set up a docker container.

    I believe the Llama 3 models are out there in a torrent somewhere, but I didn’t dig to find it. For the 70B model, you’ll probably need around 64GB of RAM available, but the 7B one should run fine with just 8GB. It will be somewhat slow though, compared to the ChatGPT experience. The self-attention mechanism can be parallelized, which is why you will see much better results on a GPU. According to some others that tested it, if you offload some stuff to RAM, you could see ~10-12 tokens per second on an RTX 3090 for certain 70B models. But more capable ones will be at less than 1 token per second, all depending on the context window you use.

    If you don’t have a GPU available, just give the Phi-3 model a try :D If you quantize it to 4 bits, it can apparently get 12 tokens per second on an iPhone haha. It should play nice with pooling information from a search engine, or a vector database like milvus, qdrant or chroma.


  • What db2 already said. Microsoft just released Phi-3 mini, which could, allegedly, run locally on newer smartphones.

    If I understood correctly, the Rabbit thingy just captures your information locally and then forwards it to their server. So, if you want more power, you could probably do the same by submitting the same info to a bigger open source model than Phi-3, like Llama 3, hosted on your homelab. I believe you can set it up with huggingface/gradio, which sort of provides an API that you could use.

    That way, you don’t need a shitty orange box, and can always get the latest open source models with a few lines of code. There are plenty of open source frameworks in the works at the moment, and I believe that we’re not far off from having multi-modal LLMs running on homelab-level hardware (if you don’t mind a bit of lag).




  • Yeah, it’s the Osaifu-Keitai. Apple has it enabled for all phones on the market, while Android phone manufacturers avoid adding it to theirs outside Japan because they would have to pay fees to Sony for it. The funny part is that Sony itself doesn’t enable it for phones outside Japan, even though FeliCa is a subsidiary of Sony :D Another funny bit is that some phones, like the Pixel, are capable of running it on phones made for other markets. Some users were able to force the Osaifu-Keitai app to think the phone was made in Japan, and that was all it took to enable it (although you’d have to root your phone + the manufacturer should have released their phones in Japan, to ensure the chip is capable). So, yeah, although a few years ago it might have been a specific chip being needed in the phone, nowadays it’s mostly software that doesn’t allow you to use the one you have while in Japan.

    All in all, PASMO/Suica/etc is basically a very limited debit card company haha. I guess Japanese people enjoy using it mainly because it puts a cap on how much they can spend (iirc, about 100 euros allowed at once on the card). Japan is a highly consumerist society, so this format was probably adopted (instead of credit/debit cards) mainly to combat it somewhat :D





  • The Framework 13 inch model should be plenty, especially if you want to dev on the go. Much more lightweight and smaller, and you can connect it to external monitors if the screen size is not big enough. Also, you shouldn’t have issues running Linux on either laptops.

    Instead of going for the 16 version, I would use the extra 900-1000 euros (that’s the amount I saw I could save between the two almost maxed-out models) to make a dedicated server or mini-cluster to run your workloads. Deploy Kubernetes or Proxmox on it, and you’ll also get some more practice on it outside work if you want to run stuff for your home lab. That is only if you don’t want to game on your laptop, but I’d still put that money aside to make a desktop.