ChatGPT Questions to Avoid

The story surfaced in late March, when a piece began circulating about categories of questions users "should absolutely never ask ChatGPT" — framed with enough urgency to suggest revelation, thin enough in specifics to suggest filler. A month later, in late April, a second signal appeared covering the same territory: a list of questions deemed unsuitable for the platform. Whether this is the same piece resurface, a derivative take, or two writers independently discovering that "things ChatGPT can't do well" is an evergreen click magnet is genuinely unclear. What is clear is that neither signal appears to have broken new ground. The story has idled in the background for nearly a month without attracting meaningful amplification.

If confirmed — or rather, if there is a substantive argument buried inside this framing — here is what it means. The real conversation is not about forbidden questions but about user literacy: most people interacting with large language models still do not have an intuitive sense of where these systems fail quietly rather than loudly. ChatGPT will confidently navigate legal, medical, and financial territory where confident navigation is exactly the wrong response. It will recall events that never happened with the same tone it uses for events that did. A genuinely rigorous account of which question types reliably produce unreliable outputs would be useful — it would shift the responsibility for AI accuracy from the model to the interaction. The problem is that "five things to avoid" is almost always a format chosen for shareability rather than depth, which means the actual guidance tends to be too vague to act on and too obvious to matter.

Watch for whether any named AI researcher or safety organisation picks up this framing with specific empirical backing — that would signal the premise has more substance than the current sources suggest.

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