@arstechnica It’s weird to see Apple hop on the AI bandwagon like a desperate company with nothing to differentiate itself. Imagine Apple boasting their chips were good for crypto mining. That’s what this feels like
@maxoakland@arstechnica Apple's already using a ton of AI tools, they just wait until they're actually better. If you're on a Mac copying text out of images, getting search hits on your videos, selecting objects out of pictures, transcribing text, having your AirPods filter out noise without leaving you vulnerable to being hit by a car, a deaf person having their iPhone alert them when there's a siren or screaming baby, etc. you're using a feature these chips will do faster or with less power.
@acdha@maxoakland@arstechnica Also, searching for textual descriptions in the Photos app. That's all done on-device and has been for years.
I recently had to find pictures of tires (tyres) I had taken a couple years ago and dreaded trying to scroll back that far. Typed in "tires", it showed me 2047 car photos I have taken at car shows, and the top "Moment" was just the photos of the stack of tires I was looking for.
I thought it was good that they clarified "Neural Engine" means "AI".
@morgant@maxoakland@arstechnica it’s really interesting seeing how different companies have marketed the same feature. Google did a big PR push when they added that to photos but it required uploading everything to their servers and had reliability issues (my dog was labeled a cat for years). Apple didn’t publicize it as much and didn’t make it as aggressive at labeling things but it just quietly became something most people rely on.
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