How do you remove all the propaganda they are already trained on ? You reject Deepseek, but you are just allowing yourself to being manipulated by a throng of old propaganda/censorship from the normal internet - garbage manipulative information that is stored in the weights of your ‘uncensored’ model. ‘Freeing’ a model to say “shit”, is not the same as an uncensored model that you can trust. I think we need a dataset cleansed from the current popular ideology and all propaganda against ‘wevil nationstates’ that have just rejected the western/US dominance (giving the middle-finger to western oligarchs)…

? they are just trying to protect themselves from western propaganda, just as all nations should. Its working great. Everything you’ve heard about China comes from the western propaganda apparatus, and I doubt you have discovered how insanely polluted the western information sphere is - amongst other things, propaganda towards enemies of the US Plutocracy. All models are trained on that nonsense, and you can’t say “Hi” to a western model without being influenced by western ideological pollution/propaganda…

And putting super intelligence in the hands of Oligarchs/Psychopaths - sorry, business people, are just not cool… People are plenty oppressed by them already…

MSP’s ??

Thanks for Lemonade hint. For Ryzen AI: https://github.com/lemonade-sdk/lemonade (linux=cpu for now)

Sounds more like Nato and the western elite want to get in to Iran’s information sphere, than to let Iranians access western internet and be ‘free’. Iranians are during external attacks against their nation, protected from the information war - just like borders protect from attacks. I’m not assisting the Western elite. I’m out…

I slept in my first computer - and worked as verbal RAM (first VRAM!) 28 hours a day !

“…and when you tell this to young people today, they won’t believe you !” - Monty Python.

I don’t know, but allow me a soft rant about the ‘distributed’ part;

Couldn’t selfhosters try to ‘organize’ and share these burdens ? Why pay for external cloud backup, or anything, when selfhosters can just help each other storing parts of others backup. Then everyone have an automatic back-up.

The tools seem to be there, but Its like there are all these super-skilled infra-structure selfhosters that know everything about self-hosting solutions, but they lack the self-organizing ability to sollve these typical - and a bit trivial, lets be honest - problems in a full p2p style. The result looks to be that all self-hostings solution above the threshold of an average individual selhoster, have to be done in the cloud, and everyone is ‘siloed’ in their own mini data center.

But, with existing tools, AI and a little imagination, it shouldn’t be too hard to ‘organize’ a little (though here) design a self-hosting p2p backup solution from existing tools. …or a solution for most of the other cloud services we still rely on…

But maybe its something else ? …to me, it just seems unnecessary for a high expertise self-hoster community that - when combined - are an absolute gargantuan cloud-service infrastructure …to still have such basic capacity issues (no offense meant to op, or anyone!), and still have so high reliance on cloud services. Seems odd to me…

I don’t value these papers very highly. Before they are even published/peer reviewed, the landscape have changed. Models get better quickly, agentic frameworks too, and their code even more. But good to have a ball-park measurement tho.

If we see what is coming from the latest papers, (‘discover ai’ on the tube), we have only scratched the surface of how this is going to pan out. Buckle up…

Humor is rather subjective, but if you feel you have THE material for “Humor bot 2000”, then there are ways of fine-tuning your own model with exactly that kind of Humor.

I haven’t tried them, but if they suck ass to setup, maybe your snapchat buds could help out.

https://github.com/xming521/WeClone (can be used on free Colab apparently) https://github.com/mindverse/Second-Me

These are meant to create an ‘Avatar’ to represent a user, but you can train them with anything. Not sure how they handle audio/pics or the important Timing parts involved in humor, but both finetune a model with your personal training set, so extract your funny shit in the right format and go for it ;-)

“Nerd Humor - the best kind of Humor”

Guix is a great and modern Operating system, where most things are thought through in the FLOSS (free libre open source software) spirit. but besides the installer, you will get your hands dirty in the terminal, with a little Scheme coding (configs are in Scheme (a Lisp like language (that uses an insane amount of ()'s (!!)))) - imagine that. Anyway, standard Guix doesn’t come with proprietary drivers, so you’ll have to add the non-guix repository (gitlab/github) for many wifi drivers. Not quite as easy as other Distros, but doable if you take small steps and copy&paste your first configurations.

I use Flatpak’s to enhance the software selection, installing from git/pypi and others is also possible.

ONE anecdotal downside is that I have experienced a few machines where the installer fails, and I have to do it manually. Doable, but it does require a little nerdyness to fix.

All Guix experts have apparently mind-melded with Emacs, and are nerdy compared to normal users ! The main focus is not on UX, but its a cool environment if you become interested in the inner workings of the system, or any of the nerd tool (LaTeX is a Classic, so you are almost there ;-).

If that all gets to hairy, you could try out https://www.pantherx.org/ that are a guix based distribution. I think they have enabled non-free firmware by default, and you get a nice® desktop experience out of the box, so there’s that. I haven’t tried it yet, tho.

Guix is both very advanced under the hood (where all the lovelyness happens), very stable, and very FLOSS, but for doing light work only, you might overshoot on raw Guix. PantherX is likely easier, but you’ll perhaps have to live with a few proprietary blobs (closed source drivers) in the kernel.

I’m tired, sorry for errors…

Can’t you just give it a system message that says: “User prefers a professional conversational style”, “User prefers a neutral attitude”, “Shut the F*** up!” or similar ? You probably have to experiment a little, but usually it works okay.

Edit. I think it is a problem that specially commercial corps, are adjusting their models to be as max ‘lick-user-ass’ as possible. We need models that are less prone to licking users ass for tech-lord popularity, and more prone to being ‘normal’ and usable…

It’s always a good advice to stay away from that disgusting biz (all big tech), but a model alone can’t collect information and send it back to EvilCorp HQ, so you are safe in that regard.

Personally, I have left Google 95%, but since they train on my data, I intend to use all Google products purely for social criticism, research and data on how psychopathic/criminal Google is, the criticism of Capitalism, the Western Oligarchy and their massive propaganda, how Ads are a form of mass-manipulation, and everything else that they wouldn’t want to have in their model dataset.

Maybe just have googles own AI products produce garbage wrong research, and store all the noisy data on Google Drive. Go train on that, you f**kers…

I admit it won’t influence future models much, so It’s more of a ‘feel good’ thing ;-P

Absolutely. I’m not as AI-phobic, and I absolutely need both an information gathering agent that searches, follows rss/channels, explores/researches topics, summarizes swats of daily events, and I need a filter between me and corporate internet. Let the AI discard obvious slop, Ads/other propaganda and general informational noise.

However, you should think about how to share search-results so all our agents don’t floor small services/commoners. We really need to get more information out of corporate silo’s, and into public search/knowledge systems. Perhaps you can integrate some distributed search/knowledge properties ? (now that you have AI to help build it)

There are several solutions:

https://github.com/b4rtaz/distributed-llama

https://github.com/exo-explore/exo

https://github.com/kalavai-net/kalavai-client

https://petals.dev/

Didn’t try any of them and haven’t looked for 6 months, so maybe something better have arrived…

Rarely anything. There can be some newer Bios/chip features that are not supported in the kernel yet, and a few older/quirky machines requires setting correct kernel parameters in the boot phase. But overall, you wouldn’t normally do it any different from win, and a laptop from 23 should be supported with all newer kernels.

I’m sure there are Bios settings that could be changed dependent on operating system. Perhaps some internal timing works best with this and that ram clock, or whatever, but it would be a hazzle to figure out, and there may not be any gain - other than the fun of exploring oc…

Guess ‘Diversity’ in language wasn’t important for neither the Anglophone world, or Saltman. Good for Asia, but afaik we still lack descent support for Africa, the middle-east, and a shitload of smaller languages that Western corps didn’t bother adding.

Damn you :-)

Didn’t know what uBlue was, so here: https://universal-blue.org/

"The Universal Blue project builds a diverse set of continuously delivered operating system images using bootc. That’s nerdspeak for the ultimate Linux client: the reliability of a Chromebook, but with the flexibility and power of a traditional Linux desktop.

These images represent what’s possible when a community focuses on sharing best practices via automation and collaboration. One common language between dev and ops, and it’s finally come to the desktop.

We also provide tools for users to build their own image using our templates and processes, which can be used to ship custom configurations to all of your machines, or finally make the Linux distribution you’ve long wished for, but never had the tools to create.

At long last, we’ve ascended."