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""The thing I lose the most sleep over is the overall safety of this technology.""

Never blindly trust the output of an LLM, especially for factual information or code. Always have a validation step, whether it's manual review, fact-checking against reliable sources, or running generated code in a sandboxed environment. LLMs can and do make mistakes.

For high-stakes applications (e.g., medical, legal, financial), do not fully automate decisions with an LLM. Implement a 'human-in-the-loop' workflow where the AI provides suggestions or analysis, but a qualified human makes the final decision. This is a critical safety practice.

"The real risk with AI isn't malice but competence. A super-intelligent AI will be extremely good at accomplishing its goals, and if those goals aren't aligned with ours, we have a problem."

"The real risk with AI isn't malice but competence. A super-intelligent AI will be extremely good at accomplishing its goals, and if those goals aren't aligned with ours, we have a problem."