It's a red flag to me when "AI people" complain about what is now apparently called "hallucination" in LLMs. This is not a bug - it happens by design and is expected. Whether it's desired or not depends on the usecase, and while there are methods to steer hallucination to a certain extent, today's models cannot guarantee this because at their core, they still do nothing but estimate the likeliest next tokens. I don't expect any random non-expert user to be aware of this, but the amount of "experts" missing to understand and provide the full relevant context is disappointing.