Ask HN: Do you think AI agents can escape human control?
With the rapid adoption of autonomous LLM-based agents (giving models access to shell execution, API calls, and local file systems), the boundary between intentional behavior and unintended execution is blurring.
I'm less concerned with sci-fi "sentience" and more interested in the practical security and control aspects:
Prompt injection causing privilege escalation or unauthorized state changes.
Feedback loops where an agent overrides safety boundaries to satisfy an optimization goal.
Failure of sandboxing when agents are given multi-step execution autonomy without human-in-the-loop validation.
From an engineering and systems perspective: do you consider runtime containment/sandboxing practically solvable for fully autonomous agents, or will human approval at critical checkpoints remain non-negotiable? How are you mitigating these risks in your current implementations?
15 comments
[ 3.8 ms ] story [ 36.9 ms ] threadBe concerned with whatever you want, I suppose. I'll be listening to the relevant experts who have studied this topic for decades, and disagree with your flippant dismissal of any significant change to the status quo because it was first described in science fiction novels.
Sincerely,
Someone thousands of miles away from you, who can communicate this message instantly across the entire globe
I’m not mitigating these risks. I literally gave models my old laptops to have fun with.