Privacy

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A place to discuss privacy and freedom in the digital world.

Privacy has become a very important issue in modern society, with companies and governments constantly abusing their power, more and more people are waking up to the importance of digital privacy.

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Can you trust locally run LLMs? (lemmy.ml)

submitted 4 weeks ago by wuphysics87@lemmy.ml to c/privacy@lemmy.ml

16 comments fedilink hide all child comments

I've been play around with ollama. Given you download the model, can you trust it isn't sending telemetry?

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[–] JustJack23@slrpnk.net 2 points 4 weeks ago (2 children)

Can't you run if from a container? I guess the will slow it down, but it will deny access to your files.

[–] marcie@lemmy.ml 10 points 4 weeks ago (1 children)

yeah you could. though i dont see any evidence that the large open source llm programs like jan.ai or ollama are doing anything wrong with their program or files. chucking it in a sandbox would solve the problem for good though

[–] SeekPie@lemm.ee 5 points 4 weeks ago* (last edited 4 weeks ago)

You could use "Alpaca" flatpak and remove the internet access with flatseal after having downloaded the model. (Linux)

Or deny the app's access to internet in app settings. (Android)

[–] acockworkorange@mander.xyz 8 points 4 weeks ago (1 children)

Containers don’t really slow down apps significantly. It’s not a VM, it’s still a native app running in your kernel, just on a separate memory space and restricted access to hardware.

[–] JustJack23@slrpnk.net 0 points 4 weeks ago (1 children)

That is true for Linux and maybe Mac, but on windows I think they have a bit more overhead. But again I agree that in most cases it is not significant.

[–] acockworkorange@mander.xyz 4 points 4 weeks ago* (last edited 4 weeks ago)

Is the overhead because of containers or is it because you’re running something that is meant to run on Linux and is using a conversion layer like MinGW ?