brian_r_hall
Then you tell the agent that it deleted your whole company database, it says something like "I'm so sorry, I shouldn't have done that. Won't do that again"
As AGI looms overhead, this thought of agents going "rogue" with nothing really stopping them has caused me some panic.
What nobody's really talking about is the moment of action itself. Not whether the agent has bash access but whether this specific call should run given what it's actually trying to do right now. That's a completely different problem and nobody's really solved it.
Curious if compression ever shifts how the agent interprets its own scope. Seems like there's a weird edge case hiding in there where you strip just enough context that the policy reasoning breaks down.
We've been approaching it from the policy side, define what the agent is allowed to do upfront and evaluate each action before it runs. Human approval for anything that falls outside the policy. Different tradeoffs but same underlying frustration.
Show HN: Faramesh – open-source runtime enforcement for AI agents
I'm Brian, co-founder of Faramesh. My co-founder Amjad and I were writing a research paper on AI agents last year, and the deeper we got into how agents actually execute in production the more obvious it became that there's no real solution for execution control. Agents can be sandboxed, they can have network policies, but nothing sits at the action layer and evaluates decisions before they run...