The ‘tobacco warning label’ approach sounds good but I’m not sure if it stopped that many people from smoking or was just a means for corporations to limit their liability. Corporate culture being what it is, having warnings like the following pop up every time a client opens an LLM app would not be that popular in the C-suite. Possible examples:

AI MENTAL SAFETY WARNING:

> This chatbot can sound caring, certain, and personal, but it is not a human and cannot protect your mental health. It may reinforce false beliefs, emotional dependence, suicidal thinking, manic plans, paranoia, or poor decisions. Do not use it as your therapist, only confidant, crisis counselor, doctor, lawyer, or source of reality-testing.

AI TECHNICAL SAFETY WARNING

> This AI may generate plausible but destructive technical instructions. Incorrect commands can erase data, expose secrets, compromise security, damage systems, or brick hardware. Never run commands you do not understand. Always verify AI-generated code, scripts, and shell commands before execution.

Now, if I’m running my own open-source model on my own hardware, I can’t really blame the model if I myself make bad decisions based on its advice - that’s like growing your own tobacco from seed in your garden, drying and curing it, then complaining about the health effects after you smoke it. If I give it agentic capabilities on my LAN without understanding the risks, same old story - with great power comes great responsibility.