

2nd term same as the 1st.
2nd term same as the 1st.
Utterly fuck shitter alt bluesky. Fuck them sideways and down and dead. Fuck them dead.
What an ugly cunt.
I’ve tried this ai therapist thing, and it’s awful. It’s ok to help you work out what you’re thinking, but absymal at analyzing you. I got some structured timelines back fro. It that I USED in therapy, but AI is a dangerous alternative to human therapy.
My $.02 anyway.
Use a drone to drop shit on the office roof 24x7
Stop taking punches and give them instead
I’ve been using ntfy for years without issue. curious how it’s failing you.
What a great idea. I never think to reach for automations.
You can use it in the US, you just have to use Altstore classic, and ensure its running on aac in your network for regular check-ins. I think it has a rolling 7 day expiration.
Nailed it. I’ve tried taking notification contexts and generally seeing how hard it is. Their foundational model, I think is 4bit quantized, 3billion parameter model.
So I loaded up llama, phi, and picollm to run some unscientific tests. Honestly they had way better results than I expected. Phi and llama handled notification summaries (I modeled the context window, nothing official) and both performed great. I have no idea wtf AFM is doing, but it’s awful.
deleted by creator
Super bummer
Oh no! Anyway.gif
Chance to re enact our own Tianeman square
Fuck Proton completely
I had to use https://leantime.io/all-about-open-source-project-management/ and ended up not hating it. I think it checks all your boxes
Bitches be thinkin a letter gonna stop jackbooted Nazis fr snatching people. Wake the fuck up.
Cpuflation
Bahahaaahahahahah
Here’s a ⭐️
What are you talking about? RAG is a method you use. It only has limitations you design. Your datastore can be whatever you want it to be. The llm performs a tool use YOU define. RAG isn’t one thing. You can build a rag system out of flat files or a huge vector datastore. You determine how much data is returned to the context window. Python and chromadb easily scales to gigabytes, on consumer hardware, completely suitable for local rag.