points by Kim_Bruning 4 hours ago | 0 comments
Ah, you're going for the actual adversarial case.
I think I'd trust the current approver with correctly classifying regular semi-interactive LLM behavior fairly well.
However, if we bring in a hostile adversary that calculus changes, and you'd be right to start thinking about other approaches.
On the other hand, transformers are a surprisingly powerful technology, and I wonder if there wouldn't be ways to train one to several nines reliability under adversarial attack. It seems to have worked in at least one case; though I'd be a bit cautious to extend that conclusion to more cases quite yet.
* https://hackmyclaw.com/ ; https://simonwillison.net/2026/Jun/26/hack-my-ai-assistant/
[–] markasoftware 3 hours ago
[–] Kim_Bruning 3 hours ago
You do have a bit of a point, though: I’ve run several models in sandboxes with --dangerously-skip-permissions for months; in the full expectation that I'd need to replace a sandbox once in a while. But so far none of the sandboxes have trashed themselves, yet. knock on wood
Auto mode seems like a lighter-weight version of that: fewer local resources, and it can run on the metal if you need cc to help with system work.
[–] lifeisloving 1 hour ago
This isnt even the main concern with dangerously skip all permission though. There are many. What happens when they get prompt injected on a web page and send someone all their privileged information because you give them free access to the internet.
Using llms like this is dangerous. They will ruin your day eventually.
[–] lifeisloving 1 hour ago
You can not trust that they're RL'd to be safe. Even if it only happens 99.80% of the time (its more than that) it will eventually happen.
Less severe actions will happen even more often. People using llms with their native browser profiles are getting farmed, hard.
Llms are highly dangerous in terms of security, but they're being marketed as highly intelligent tools that everyone should use. Its really mind blowing.