I live in the states and haven’t seen a smoking section of a restaurant or bar since around the turn of the century. There are ones which have smoking tables outside too close to the door, which sucks.
It’s funny watching old movies like Airplane where he was buying a plane ticket and she asked “smoking or non-smoking” and you remember that people used to smoke while trapped in an airplane.
To be honest, that seems like it should be the one thing they are reliably good at. It requires just looking up info on their database, with no manipulation.
That’s not how they are designed at all. LLMs are just text predictors. If the user inputs something like “A B C D E F” then the next most likely word would be “G”.
Companies like OpenAI will try to add context to make things seem smarter, like prime it with the current date so it won’t just respond with some date it was trained on, or look for info on specific people or whatnot, but at its core, they are just really big auto fill text predictors.