It’s particularly good for a grocery-list kind of problem: “I have X and Y in my kitchen, what could I make?”
Ingredient ratios and cooking times/heats usually need tweaking, but the broad strokes are often quite good.
Definitely a strong use case there, although I don’t know how you would refine to actually good recipes. Probably need a human in the loop testing and tweaking, or at least gut-checking.
It could very easily tell you to incorrectly cook chicken for example and get salmonella
Developers have a duty to users, but that duty is not Hippocratic; we have no obligation to only release products that are absolutely safe under all circumstances. My nailgun will fire a 4" nail through my skull without hesitation, but I'm not outraged by that fact. I don't demand a nailgun with a complex skull-detection system, or a moratorium on all nailgun development until we're confident that a nailgun will never drive a nail through something that it shouldn't. The manufacturer warns me "this is a nailgun, it'll put a nail through damned near anything including flesh and bone, so don't be a dummy" and society recognises my right to take that risk.
I'm completely fine with an LLM recipe generator that, if asked, will create a recipe for a bleach and rat poison cocktail. It'd be nice if the model was a bit more refined, but I'm fine with an unrefined model so long as it gives a suitably prominent disclosure to the effect of "this is a large language model, it isn't human and has no common sense, so apply your own common sense to any output it gives".
Why you would insert the russian-roulette of statistically-generated randomness in what you ingest, is beyond me frankly.
At my work, we're trying to use GenAI to make a chatbot for internal info sharing/onboarding/etc. I am constantly asking myself how this will ever be better than a well-written company wiki/employee handbook with a search function.