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.

This is a ‘‘The worst person you know just made a great point.’’ moment, isn’t it?

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.

Israel is a terrorist entity.

Iran has a right to defend itself from Israeli terrorism.