Comment by digitaltrees
1 month ago
If you’re message is in response to me, which I think it is, I deliberately don’t give access to credentials and env variables. I’ve worked to create restrictions and seen AI models use very interesting methods to bypass them.
Even now my prompt says the AI must verify the path of the files it intends to edit, and get permission before editing one file at a time and only after permission. I stop it from ignoring those rules once a day at least.
This is not privilege separation/sandboxing. Separate virtual machine for an agent with limited credentials is reasonably safe approach
I built www.propelcode.app with separate Linux containers, unless you disconnect the container and your computer from the internet the models can escape the sandbox and get information off of your machine.
I am open to being corrected and learning from you if you have a better method of sandboxing
The best way to use LLMs is via tmux where it's running on a disposable VM. 0 chance of it getting information from your local machine.
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