It's pretty nice from an app developers perspective.

It allows me to save money by calling a model on the users device rather than spending tokens (or forcing the user to spend tokens).

▲

mort96 4 hours ago | parent [-]

What does your users want your app to do with a language model?

▲

californical 3 hours ago | parent | next [-]

I can imagine lots of things- mainly around making short summaries so the user can choose things more easily, or maybe as a smart autocomplete.

I can imagine a home automation app helping you build a workflow with an LLM. Or an RSS reader giving you a short summary of each article. A health app being able to pull recipes into a standard format. Maybe a fitness app being able to search your workout history if you give it good tools.

Idk I usually use my phone for reading HN on the toilet and listening to podcasts while cleaning, not much else. I don’t know what else people even do with a phone lol. But those are things I’ve done in the past that LLMs could be helpful for!

▲

mort96 3 hours ago | parent [-]

Is this based on user feedback for your app? Do they want your app to feature home automation or making short summaries? Since you were using your app as an example I mean

	▲	howunfortunate 2 hours ago \| parent [-]
		Not OP, but in my case they are features we already provide that we can make cheaper (for ourselves) by doing it on the user's device rather than paying OpenAI for it.

▲

howunfortunate 2 hours ago | parent | prev [-]

Lots of use cases. Image understanding / labeling is what I had in mind.

But also voice-to-text, (certain kinds of) search, document summarization, are common things that I could see many apps using Apple Intelligence for.