

Whenever I get lazy I just throw some seasoned chicken drumsticks in my airfryer and then add some Uncle Ben’s rice. Almost 0 effort.
Yoko, Shinobu ni, eto… 🤔
עַם יִשְׂרָאֵל חַי Slava Ukraini 🇺🇦 ❤️ 🇮🇱
Whenever I get lazy I just throw some seasoned chicken drumsticks in my airfryer and then add some Uncle Ben’s rice. Almost 0 effort.
This reminds me of this Cyanide and Happiness short: https://youtube.com/watch?v=W09ltuxt3rI
There’s also group C which I was part of, you just say that you just pooped or scratch your butt whenever they ask you to load/unload and they’ll immediately offer to do that for you instead.
This would be a meme by itself:
lacks some cheese IMO
for the math homies, you could say that NaN is an absorbing element
Omae wa mou shindeiru
Let them fight among themselves and prove time and time again that patents are idiotic and hinder innovation.
Chess, because we have !anarchychess@sopuli.xyz.
I think it’s already removed? I checked by sorting with New and there’s nothing right now, unless you mean another community?
Yup, they already forced Google to announce that they’ll add such a choice screen for the search engine and web browser on Android: https://www.neowin.net/news/google-will-add-new-search-and-browser-choice-screens-for-android-phones-in-europe/
It’s only a matter of time before Microsoft does so too.
ollama should be much easier to setup!
ROCm is decent right now, I can do deep learning stuff and CUDA programming with it with an AMD APU. However, ollama doesn’t work out-of-the-box yet with APUs, but users seem to say that it works with dedicated AMD GPUs.
As for Mixtral8x7b, I couldn’t run it on a system with 32GB of RAM and an RTX 2070S with 8GB of VRAM, I’ll probably try with another system soon [EDIT: I actually got the default version (mixtral:instruct) running with 32GB of RAM and 8GB of VRAM (RTX 2070S).] That same system also runs CodeLlama-34B fine.
So far I’m happy with Mistral 7b, it’s extremely fast on my RTX 2070S, and it’s not really slow when running in CPU-mode on an AMD Ryzen 7. Its speed is okayish (~1 token/sec) when I try it in CPU-mode on an old Thinkpad T480 with an 8th gen i5 CPU.
Buy Now Pay Later is what’s exacerbating this. People are dumb, have short attention spans and most of them are statistically bad at basic math, so when they see a purchase that they can make without paying anything now they’ll hit buy and they’ll do it many times as the e-commerce platform will usually recommend other products to them they’ll likely want, they won’t do the calculation to see if they really can afford the split payments + the interest.
PSA: give open-source LLMs a try folks. If you’re on Linux or macOS, ollama makes it incredibly easy to try most of the popular open-source LLMs like Mistral 7B, Mixtral 8x7B, CodeLlama etc… Obviously it’s faster if you have a CUDA/ROCm-capable GPU, but it still works in CPU-mode too (albeit slow if the model is huge) provided you have enough RAM.
You can combine that with a UI like ollama-webui or a text-based UI like oterm.
Hmm I don’t think it’s because of that feature, because it only runs when you explicitly ask it to translate a page for you. You should probably check your extensions, see if you have some redundant ones (a mistake people make is use multiple ad-blockers/anti-trackers, when just uBlock Origin + Firefox’s defaults are usually good enough).
The lemmy.ca link needs to be opened inside a browser so that you see the thread on that instance. If you try to open it on an app like Voyager it will probably try to redirect you to your local instance, but the problem is that some instances purged it, probably because it quotes literal calls to violence.
In the 2000s we had AdSense. So now we’re getting… AISense?