take my angry upvote!

Simple* apps were great before they got bought by Israeli spies. The development continues in Fossify: https://www.fossify.org/

the debloater is a good resource for what system apps do, and whether or not they are actually needed.

I recommend the universal android debloater: https://github.com/Universal-Debloater-Alliance/universal-android-debloater-next-generation

It has good recommendations.

ummm no. I don’t want Meta to access my chats.

I just download mp3 files from youtube using yt-dlp (laptop) or newpipe (android)

on linux it is easy to record the audio that is sent to the sound device. lots of programs do it.

onthespot doesn’t look too bad if you want to download from spotify directly.

I just download from youtube though. It’s very easy with yt-dlp.

Graphs like this will always be population graphs. Russia is the 9th most populated country with 140 million people.

Elden Ring runs better on proton/wine/dxvk then it does on Windows.

Swearing in source code points to a healthy and organic development.

Not on top of my head, but there must be something. llama.cpp and vllm have basically solved the inference problem for LLMs. What you need is a RAG solution on top that also combines it with web search.

Wasn’t this always the case? I remember flying into the US during the Biden era as a tourist and had to declare my social media accounts.

for coding tasks you need web search and RAG. It’s not the size of the model that matters, since even the largest models find solutions online.

LLMs are great at automating tasks where we know the solution. And there are a lot of workflows that fall in this category. They are horrible at solving new problems, but that is not where the opportunity for LLMs is anyway.

For VLMs I love Moondream2. It’s a tiny model that packs a punch way above its size. Llama.cpp supports it.