[Topfi]

> While Apple is still a major player in the AI space, they typically lean towards a preference for traditional AI. They’re almost certainly still doing LLM research in the background, but they’ve decided against dropping everything to go full throttle on the hype train. Ironically, this has started to make their investors, who have bought into the hype, quite upset. People are starting to question “why isn’t apply doing things with AI”.

It may very well be the case that Apple too finds themselves pressured into going all out on LLM

Besides my stance that LLMs can serve specific tasks very well and are likely going to take a place similar to spreadsheets and databases over the coming years, hasn’t Apple already? Rarely has Apple tried to appear so unified on one goal across their product stack as they did with Apple Intelligence, the vast majority of which is heavily LLM focused.

The Author appears to fully skip over their attempt and subsequent failure, which made the entire point the piece is trying to further rather unsubstantiated and made me check whether this wasn’t posted in 2022, even more for someone like myself who also is very confident that there is a large chasm between LLMs and whatever AGI may end up being.

[viraptor]

Apple failed to deploy LLM Siri for very old and boring organisation reasons https://au.pcmag.com/operating-systems/111073/apples-siri-st... Their problems seems unrelated to AI tech itself.

[Topfi]

Apple Intelligence message summary, text editing, etc. have been successfully deployed and, using them right now, have problems very much connected to the technology. The internal squabbles are independent of what they released and the state the technology is in.