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I'm all for compassion, but engineers knew the NE was empty when it sat idle for 10 years on our computers. - when you're given no usecase for your engineering

I'm all for compassion, but engineers knew the NE was empty when it sat idle for 10 years on our computers. - when you're given no usecase for your engineering piece, apart from "detour characters in pictures". It's an exageration but AI's contributions in iOS aren't visible; Meanwhile Google has features that people actually notice like removing tourists from your holidays photos — worse: it's mostly a simple collage feature working on the main CPU, and it has the same social effect as green bubbles in iMessage ("ah. Tourists on your photos. iPhone user?") - and you tout it as "16 Neural Engine cores" during the sales, with no associated software, no listed material feature, just hand-waving, - Siri maxxes out at "There is no contact named 'What's the weather today' in your agenda", Then can't really claim that Apple engineers' problem was really the bad luck that ML wasn't the determining part of the future. It's more like misreading the room for 5 to 10 years straight. Apple engineering's excellence on vertical integration and supply chain control gave them absolute power over our world (with merit), it just failed at that particular project. Which occupies 40% of our CPUs.

adastra22 5d ago
The ANE hasn't been sitting empty for 10 years. All those Photos features like face recognition and auto classification run on ANE.
kergonath 5d ago
> an exageration but AI's contributions in iOS aren't visible If you want to ignore them, that’s right. In the real world, they’ve been talking about ML and how it’s making pictures or such-and-such aspect of the OS better for about a decade now. It might not be flashy, but it is used throughout the OS. > Meanwhile Google has features that people actually notice like removing tourists from your holidays photos — worse: it's mostly a simple collage feature working on the main CPU, and it has the same social effect as green bubbles in iMessage ("ah. Tourists on your photos. iPhone user?") The feature to do this has been in the Photos application for years, what are you talking about?
alwillis 5d ago
Some features using the Neural Engine: * Face ID since the iPhone X released in 2017 * fall and crash detection * Live captions in videos, calls, and spoken audio * facial recognition in the Photos app * voice isolation in calls There's more, but I'll stop there.
- sroussey 4d ago
  Dictation, text to speech, some of that computational photography, etc too!

adastra22 5d ago

The ANE hasn't been sitting empty for 10 years. All those Photos features like face recognition and auto classification run on ANE.

kergonath 5d ago

> an exageration but AI's contributions in iOS aren't visible If you want to ignore them, that’s right. In the real world, they’ve been talking about ML and how it’s making pictures or such-and-such aspect of the OS better for about a decade now. It might not be flashy, but it is used throughout the OS. > Meanwhile Google has features that people actually notice like removing tourists from your holidays photos — worse: it's mostly a simple collage feature working on the main CPU, and it has the same social effect as green bubbles in iMessage ("ah. Tourists on your photos. iPhone user?") The feature to do this has been in the Photos application for years, what are you talking about?

alwillis 5d ago

Some features using the Neural Engine: * Face ID since the iPhone X released in 2017 * fall and crash detection * Live captions in videos, calls, and spoken audio * facial recognition in the Photos app * voice isolation in calls There's more, but I'll stop there.

sroussey 4d ago
Dictation, text to speech, some of that computational photography, etc too!