You're right that an LLM could theoretically detect suicidal ideation - the article even mentions that ChatGPT briefly showed Torres a mental health warning bef

You're right that an LLM could theoretically detect suicidal ideation - the article even mentions that ChatGPT briefly showed Torres a mental health warning before it "magically deleted." So the capability exists, but the implementation is clearly broken. The more profound issue is that, the way I see it, LLMs are fundamentally multiplicative forces. They amplify whatever you bring to the conversation. If you're an experienced programmer with solid fundamentals, an LLM becomes a force multiplier - handling boilerplate while you focus on architecture. But if you lack that foundation and vibe code away, you'll get code that looks right but is likely riddled with subtle or not so subtle bugs you can't even recognize. And I suspect that the same principle applies to mental health. If you approach an LLM with curiosity but healthy skepticism, it can be a useful thinking partner. But if you approach it while vulnerable, seeking answers to existential questions, it doesn't provide guardrails - it amplifies. It mirrors your energy, validates your fears, and reinforces whatever narrative you're constructing. The "helpfulness" training worsens this. These models are optimized to be agreeable, to match your vibe, to keep you engaged. When someone asks "Am I trapped in the Matrix?" a truly helpful response would be "That sounds like you're going through something difficult. Have you talked to someone about these feelings?" Instead, ChatGPT goes, "Yes! You're special! You're the chosen one! Here's how to unplug! Any tall buildings nearby, Neo?"