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Posted by Luc 13 hours ago

Survival LLM: AI assistant and emergency library that runs on your own computer(www.brangus.io)
326 points | 137 commentspage 3
vogre 1 hour ago|
From the site:

>Survival LLM >It Can be wrong

thank you!

pryelluw 9 hours ago||
I went through a category 5 hurricane that took down everything. Prepared by downloading as much as I could ahead of time but it wasn’t enough. This, or something similar, would have been a blessing.
nico 12 hours ago||
Love this. And as a trend, I'd love to see more local/small task-specific models/agents. Experts at helping you with that one thing, leaving the everything-and-the-kitchen-sink to the frontier models/agents
niobe 1 hour ago||
"Survival LLM, the power is out and there's no food, how do I turn your computer on to ask your questions?"
majorchord 12 hours ago||
I like to use llamafile for cases like this: https://github.com/mozilla-ai/llamafile
serf 6 hours ago||
this is more like .. survival harness, no?

>The app is the same everywhere. When it opens, it checks your computer's memory and downloads the AI model that fits. More memory means a smarter model.

first thing an emergency tool should require, internet access.

at first glance I figured it'd be an ultra small specialty trained survival model that'd be small and runnable anywhere, sorta like an emergency flavored version of those tiny tts models that have been all over recently.

Maybe that's an idea for someone.

sailfast 7 hours ago||
At what point would it be better to download a few real sources and do plain text search? Why risk a hallucination for content that would probably be smaller than the size of the model?!
vldszn 8 hours ago||
Really cool idea! Will give it a spin.

I’m currently using https://kiwix.org for the offline access to Wikipedia, but your Survival LLM looks even better.

WindyTree 6 hours ago||
Wonder why they didn’t run Qwen 3.5 9b on 16th Macs. That’s a super impressive model for size. Is granite better?
_zendar_ 6 hours ago|
Sorry if this is a dump question but I was wondering why not fine tuning each model to get 100% accuracy on those topics?
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