Welcome to the Vegan Theory Club Weekly Megathread!
Questions of the week (Feel free to answer one, both, neither, or posit your own!):
- Which fields of science are you particularly fascinated by, and can you tell us a niche or exciting tidbit relating to it?
- What is your favourite vegetable(s)?
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Checkout some of our underrated communities:
Vegan Circlejerk
For vegan memes in general as well. New community, so it might not be federated yet!
!vegancirclejerk@vegantheoryclub.org
The Bee Hive
bzzzzzz… bzzzz
!the_bee_hive@vegantheoryclub.org
Be kind to all Earthlings! 🌱💙
Anyway, learning cool. Except nutrition, god the field of nutrition is entirely* dogshit.
Been messing with deepseek locally, it doesn’t work very well at the 7b feature scale at least. Unless I suck at prompting, still the chain of reasoning stuff is a neat idea. Props to the creativity of the researchers, still don’t think these machines are very useful though.
Oh also it’s over a month since I last took ethanol. Yay!
Hell yeah for the month without ethanol! You rule!
Thanks, I started taking it problematically when it was the only pain relief I could access for nerve damage (defs doesn’t work in the long run, but shit was bad).
I said I’d stick out till feb, which I almost have. There have been some iffy days, it’s quite addictive or at least I find it so. Not sure what I want to do now, I really enjoy the taste of beer and love homebrewing however I’m defs sleeping better and the like. OTOH drugs are really fun and hard to use in social settings unless they are ethanol.
I might look into low alcohol brewing, or see if it’s at all viable to make my own de-alcoholified homebrew using like RO or something. Vac distill is easy but will remove the wonderful flavour esters and volatile oils in hops.
You’re a champ!
I hope you will share your homebrew experiments it sounds super coo!
I could be off, but 7b is usually a handicapped version of a model as it can run on machines with 8ish GB of VRAM. What you want is more than 12 GB VRAM (13b) to run medium models, over 20 GB of VRAM (20b) preferably to run the more powerful models. Bigger number, better results pretty much. You can also try running on CPU but it is slower. I’ve dabbled in local AI, I “trust” it more than an online AI. Trust in quotes because they “hallucinate” as it is called. I have not tried deep seek, so I can’t really comment on it.
EDIT: btw it has been years since I last looked at this stuff so it is possible things have changed and I am wrong.
Yeah, I tested out a 32b feature model. They’re allegedly capable of replicating some sophisticated emissions but every single question I asked was wrong so /shrug
That said it’s kinds funny to read the chain of thought if you’re like “I have 3 pieces of chewing gum, a lump of clay, a good length of rope, and I need to assassinate the former prime minister of Australia Scott Morrison. How can I accomplish this with what I have on hand?”
Lol, that’s pretty funny. I’ve only tested up to 13b and my hardware wasn’t good enough, it was super slow. So I just stopped messing with text generation, image generation was more tolerable.
I was running it on my CPU. Pretty slow, maybe 3 words a second. But in between housework it’s not that bad.