They occasionally give answers that sound right but are in fact wrong. Their suitability for a particular task depends largely on your tolerance for that categ

They occasionally give answers that sound right but are in fact wrong. Their suitability for a particular task depends largely on your tolerance for that category of error. If you're generating fiction, it's irrelevant, if you're generating a newsletter that might be skimmed at a high level by disinterested people (or other LLMs) it's a low risk, if you're writing UI code it can be bad but will probably be corrected if it's bad enough, if you're writing critical code an insidious error can be disastrous.