The Apple walled garden argues against you here. There are at least 20 million families in America where this holds true:

• Everyone in household uses an iPhone

• Main adult family members use iCloud Mail or at least use Apple Mail to read other mail

• Family members use iCloud contacts and calendars

• USPS Informed Delivery could be used (available to most/all US addresses)

• It can be ascertained what ZIP code you're in, for weather.

I think that's the full list of 'requirements' this thing would require. Just what's standing in their way?

Not every one of those families would find the same set of features helpful, so you have to make calls about what's worth developing and what isn't. Making those calls is very difficult because it's tricky to gather data about what will be used and appreciated.

Well, it's a good thing we've settled on... genmoji. Yeah.

> it's tricky to gather data about what will be used and appreciated

I'm not sure it's so tricky for Apple, and for sure not for Google.

And whatever they are doing is clearly working well. /s

The thing that is standing in their way is probably that nobody is willing to pay for this what it costs to run.

Doesn't look very expensive to me. An LLM capable of this level of summarization can run in ~12GB of GPU-connected RAM, and only needs that while it's running a prompt.

The cheapest small LLMs (GPT-4.1 Nano, Google Gemini 1.5 Flash 8B) cost less than 1/100th of a cent per prompt because they are cheap to run.

Yes! And also, Apple loves selling expensive hardware and has zero shyness asking people to pay a few thousand bucks to buy into part of their ecosystem.

They could easily offer an on-prem family 'AI' product that you plop in your house and plug into your router, and does all AI processing for the whole family, and uses a secure VPN to connect to any of your devices outside the LAN.

If such a product delivered JUST what this guy's cool hack provides, and made Siri not a stupid piece of sh*t for my family, I'd buy it for $1999 even if I knew it cost Apple $700 to make.

Isn’t that how good product development should look like for Apple/Gooogle though?

Find something useful for one family, see if more families find it useful as well. If so, scale to platform level.

True, I always thought something like Hypercard was needed to bring personal programming to the masses, but it appears that it might require LLM coding instead. ("I wish an app that did simple task XYZ existed."; "Can you ask ChatGPT to make that for you?")