And outside of idiotic demos, who exactly is going to ask an LLM to look at hotels in Montreal for them? This usecase has never made sense to me in the slightest
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In the slightest? The user goes to their computer and types in "Montreal hotels" and Google comes up with no shortage of results, including a bit from their LLM. So that's already happening, but how do you narrow down the results from that initial search? Click around on Expedia for an hour? You probably know what you care about, just tell the LLM that you have dogs or are a vegan or whatever instead of wasting a bunch of time doing it by hand yourself.
> who exactly is going to ask an LLM to look at hotels in Montreal for them
Anybody who has a specific informal query ("SELECT ... FROM ... WHERE has_carpark AND ... ORDER BY score(has_jacuzzi , walk_distance(...) ...) DESC") but does not want to research and cross the different scattered info himself (does not want to build the virtual DB himself).
I mean it was just an example, but I get AI to do things like this all the time... ChatGPT planned my latest work trip by looking through flights, hotels and pulled together 3 options of itineraries for me, and wrote an email I could send to my client with estimated costs etc.