It was a great adventure. But yeah, that setup was on 24/7. Not because of compilation, but it definitely made a lot of this more feasible
Gentoo unstable was a little bit tiring in the long run. The bleeding edge, but often I needed to downgrade because the rest of the libraries were not ready
Gentoo stable was really great. Back then pulseaudio was quite buggy. Having a system where I could tell all applications and libraries to not even link to it (so no need to have it installed at all) made avoiding its problems really easy
But when my hardware got older and compilation of libreoffice started to take 4h, I remembered how nice it was on Slackware where you just install package you broke and you’re done
Arch looked like a nice middle-ground. Most of the things in packages, big focus on pure Linux configurability (pure /etc files, no Ubuntu(or SUSE?) “you need working X.org to open distro-specific graphics card settings”) and AUR for things there are no official packages for. Turned out it was a match :)
Windows (~6 years) -> Mandriva (Mandrake? For I think 2-3 years) -> Ubuntu (1 day) -> Suse (2 days) -> Slackware (2-3 years) -> Gentoo unstable (2-3 years) -> Gentoo stable (2-3 years) -> Arch (9 years and counting)
The only span I’m sure about is the last one. When I started a job I decided I don’t have the time to compile the world anymore. But the values after Windows sum up to 21, should be 20, so it’s all more or less correct
If you want to access your computer from outside your LAN, it would be a good idea to at least secure it or, unfortunately the best, learn to understand what you are doing
Coming back to the topic, though, I’d start with checking these out
Depends. I’ve found that it was able to explain to me (about Spanish) why, when and how to use this form or the other. But it won’t come up with a plan of lessons. And the level of support will depend on the amount of resources available for the language you want to learn
I’m not a moderator, I don’t have an answer and don’t really have a horse in this race (personally I care about number of comments more) but I think there is one thing this discussion would be a good place to include.
If downvotes are supposed to mean “this post is not useful in this community”, then what should be the dividing line between downvote and report?
But then if downvotes are “I don’t like this”, then news communities might have a lot of negative values
Yes, I can. But you need much more to accomplish this
There are other communities too
Maybe I’m going to do something, maybe I’m not. Why the demanding tone?
I also think that grassroots economy would work better for many things. But we’re not there, the world doesn’t work like that ATM. Wish for 10% of people to contribute is very optimistic IMO.
You need much wider spread, and for me (for example) your tool is the only thing that gives you any credibility. If there are others like me, you might be missing clout for a call to support like that to simply just work
24h for people to react to a comment in some post?
I think you under-advertised your proposal
But machine will not do the creative part. It can only fill in the time-sinks around our creative ideas. Ask an LLM to tell you a joke no-one has ever heard before and then google it. The creative part still has to come from humans
EDIT; and the truth is that we very rarely come up with something creative. We mostly just recompile previously met combinations
trying to weasel out of putting some effort into something that sounds worth putting some effort into
But that depends what do they need it for
Personally I don’t see a difference between legalese boilerplate and 10k word story. But that discussion might lead us nowhere
What about text creation have you learned
In many cases I don’t want nor need to learn that. I just need volume about the key points
Why an LLM is any different?
Let’s say I want my RPG players to find a corporate mail that gives them some plot info. Why not ask an LLM to write the boilerplate around the info I want to give them? Just as example
Let’s not put any effort into anything: the machine will do it for me
So you are not using a calculator, I presume? Only math done on abacus is not being lazy?
If you want something local and open source, I think your main problem will be the number of parameters (the b
thing). ChatGPT-3 is (was?) noticeably big and open source models are usually smaller. There is, of course, an exchange about how much the size of the model matters and how the quality of the training data affects the results. But when I did a non-scientific comparison ~half a year ago, there was a noticeable difference between smaller models and bigger ones.
Having said all of that, check out https://huggingface.co/ it aims to be like GitHub for AIs. Most of the models are more or less open source, you will only need to figure out how to run one and if you have some bottlenecks on PI
Haven’t tested it but it seems so. Android client has the button too