iOS has less device models to target for. This makes it easier to support and deliver a more consistent experience, especially for gaming. I have also heard a few other points back in the day, but I am not sure how true they are now. One is that some social media apps might offer better quality in app camera experience. Another is that iOS userbase is more willing to spend money so devs are more likely to target iOS.
Apple is struggling with _productizing_ LLMs for the mass market, which is a separate task from training a frontier LLM.
To be fair to Apple, so far the only mass market LLM use case so far is just a simple chatbot, and they don't seem to be interested in that. It remains to be seen if what Apple wants to do ("private" LLMs with access to your personal context acting as intimate personal assistants) is even possible to do reliably. It sounds useful, and I do believe it will eventually be possible, but no one is there yet.
They did botch the launch by announcing the Apple Intelligence features before they are ready though.
The may want to use 3rd party or just wait for AI to be more stable to see how people actually use it instead of adding slop in the core of their product.
This is revisionist history. Apple wanted to fully jump in. They even rebranded AI as Apple Intelligence and announced a hoard of features which turned out to be vaporware.
I mean, hardware is great, it's literally the only safe and secure hardware for AOSP. Samsung are mostly security theater, all the other brands are shockingly bad.
Thank you, and now I have a new pattern to watch out for in URLs. After all the energy we just had to go through to rescue all the goo.gl links when Big Evil decided that hosting a redirect webserver was too much trouble for them, and here we go again with share.google - crazypants
RCS is absolutely awful as it displays banner ads in your notifications. The notifications are far worse than what you get with SMS. It's the reason I turned off RCS as well.
> Across Vorrath's many high-profile Apple projects, she has been known for keeping work on schedule, and for implementing rigorous bug testing. Consequently, her move to the Apple Intelligence and Siri team is likely to be because the project needs to be given more impetus.
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