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?
I’m not mitigating these risks. I literally gave models my old laptops to have fun with.