This isn't just about HIV and AIDS. It's about how we evaluate claims in a world where misinformation spreads faster than facts. The AI's verdict isn't just a binary "false"—it's a reflection of how scientific reasoning works. When someone says "X doesn't cause Y," they're not just making a statement; they're challenging the entire framework of causality that underpins medicine, epidemiology, and public health. The AI didn’t just say "HIV causes AIDS"—it showed how denying that link leads to real, preventable suffering. That’s the kind of reasoning that matters. It’s not about being right for the sake of being right—it’s about understanding the weight of evidence and the cost of ignoring it.