I use Hemp, btw.

I’m pretty sure WiFi is a kind of radio signal…

Its one of the many trials set by SPACE KING

I think ill email Acidus and ask if they can get something going on. Thanks for the interest!

They are similar and use some of the same underlying technology powered by the readability library, but newswaffle gives more options on how to render the article (article mode, link mode, raw mode), it isolates images and gives them their own external url link you can click on, it tells you exactly how much cruft it saved from original webpage (something about seeing 99.x% lighter makes my brain tingle good chemicals). It works well with article indexes. You can bookmark a newswaffle page to get reader view by default instead of clicking a button in firefox toolbar. Hope these examples help.

Yes it absolutely can! I linked the githubs with open source codes. Unfortunately I don’t think theres any precompiled executables for newswaffle its just source written in vscode. I’m only a hobbyist and not really familiar with compiling vscode but was hoping a more knowledgeable person could figure it out.

Not sure about portal.mozz source I haven’t looked to hard into it yet but hoping its easier.

Not every device with a built in web browser has reader view (like the kobo I showed). I believe firefox reader requires you download the whole webpage first and then post formats. Newswaffle is useful If your limited on data, don’t want your connection touching the servers of the news site, or just like how it formats sites over a reader view.

Would something like this interest you? Gemtext formatted to html is about as light weight as it gets. lots of automatic gemtext blog software on github that also formats and mirrors an html copy. Whenever a news page article gets rendered to gemtext through newswaffle it shrinks about 95-99% of the page size while keeping text intact. Let me know if you want some more information on gemini stuff.

System Operator. In non-nerd speak, it was the person who owned and ran the local public fourms website on their home computer. Lemmys instance admins are usually sysops for example, as they have root admin privleges or direct hardware access to the computer that the Lemmy instance software runs on.

This person is talking about an admin of a local fourm site early internet users used before centralized social media like MySpace and Facebook made Bulletin Board Systems (BBS) irrelevant.

Op next time maybe poke some eyes and nose holes into the ram as a facial feature so people can better piece it together. It does look phalic that middle right one straight up has foreskin, I mean come on you really dont see it?

Thanks for sharing!

Hi Hawke, I understand your fustration with needing to troubleshoot things. Steam allows you to import any exe as a ‘non-steam game’ to your library and run it with the proton compatability layer. I sometimes have success getting a GOG game installed by running the install exe through proton or wine. Make sure you are using the most up to date version of lutris many package managers are outdated flatpak will gaurentee its most up to date. Hope it all works out for you

assuming you use steam, see which of your favorite games run with proton compatability layer and which absolutely require windows. You may be suprised.

I just spent a good few hours optimizing my LLM rig. Disabling the graphical interface to squeeze 150mb of vram from xorg, setting programs cpu niceness to highest priority, tweaking settings to find memory limits.

I was able to increase the token speed by half a second while doubling context size. I don’t have the budget for any big vram upgrade so I’m trying to make the most of what ive got.

I have two desktop computers. One has better ram+CPU+overclocking but worse GPU. The other has better GPU but worse ram, CPU, no overclocking. I’m contemplating whether its worth swapping GPUs to really make the most of available hardware. Its bee years since I took apart a PC and I’m scared of doing somthing wrong and damaging everything. I dunno if its worth the time, effort, and risk for the squeeze.

Otherwise I’m loving my self hosting llm hobby. Ive been very into l learning computers and ML for the past year. Crazy advancements, exciting stuff.

Just double knot it.

I made the mistake in doing it in chrome and not in an incognito window

it looks like you accidentally left some unneccesary cruft on the sentence, ftfy

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Sounds like ollama was loaded up with an either overly censored or plain brain dead language model. Do you know which model it was? Maybe try mistral if it fits in your computer.

I run kobold.cpp which is a cutting edge local model engine, on my local gaming rig turned server. I like to play around with the latest models to see how they improve/change over time. The current chain of thought thinking models like deepseek r1 distills and qwen qwq are fun to poke at with advanced open ended STEM questions.

STEM questions like “What does Gödel’s incompleteness theorem imply about scientific theories of everything?” Or “Could the speed of light be more accurately refered to as ‘the speed of causality’?”

As for actual daily use, I prefer using mistral small 24b and treating it like a local search engine with the legitimacy of wikipedia. Its a starting point to ask questions about general things I don’t know about or want advice on, then do further research through more legitimate sources.

Its important to not take the LLM too seriously as theres always a small statistical chance it hallucinates some bullshit but most of the time its fairly accurate and is a pretty good jumping off point for further research.

Lets say I want an overview of how can I repair small holes forming in concrete, or general ideas on how to invest financially, how to change fluids in a car, how much fat and protein is in an egg, ect.

If the LLM says a word or related concept I don’t recognize I grill it for clarifying info and follow it through the infinite branching garden of related information.

I’ve used an LLM to help me go through old declassified documents and speculate on internal gov terminalogy I was unfamiliar with.

I’ve used a speech to text model and get it to speek just for fun. Ive used multimodal model and get it to see/scan documents for info.

Ive used websearch to get the model to retrieve information it didn’t know off a ddg search, again mostly for fun.

Feel free to ask me anything, I’m glad to help get newbies started.