Model Releases
What are some practical tasks I can assign to my local AI models?
I'm looking for more information to expand my creativity around this. I don't really have a realistic idea of what people actually do with local AI yet, I mostly just want to explore the possibilities
I'm looking for more information to expand my creativity around this. I don't really have a realistic idea of what people actually do with local AI yet, I mostly just want to explore the possibilities and see what others are using it for Right now, the main things I know about are using AI is to help with coding, create games, and automate stuff. That's pretty much the extent of my experience haha.. I'm specifically interested in things that make sense to run locally, though. I'll be excluding use cases that cloud AI can already handle just as well, like AI companions, teaching/tutoring, roleplaying, etc Basically, I'm looking for ideas that go beyond the obvious and could give me a better understanding of what local AI is actually useful for and what kinds of interesting projects I could build or experiment with I've also accidentally encountered this github which i find interesting, as anyone tested/experiment it before? https://github.com/browser-use/browser-use qwen3.8 27b + Hermes Agent + llama.cpp submitted by /u/Loose_Doubt367 [link] [comments]
Related
- Making small local models actually useful for coding
- Best open-source harness like Claude Code?
- What unique, custom QOL upgrades have you given your local agents?
- Has anyone actually benchmarked where the 'big-model orchestrator + local-model worker' split breaks down?
Source: r/LocalLLaMA | 2026-09-08