[1000100_1000101]

On iPhone, if I take a picture of a plant or animal, it identifies it for me. It's not 100% by any means, but it's useful enough. I've figured out what were baby plants I wanted vs. weeds. I've figure out species of birds I'd taken photos of with my SLR (ie: phone takes picture of Lightroom editing the image, and is able to identify it from that... I'd prefer there was a way to not require me to take a photo of my monitor, either doing it "live", and/or adding the functionality into the Mac.) For people and pets it can find other images that contain the same subject.

When my daughter was studying Chinese, I could use the live-video translation app and see the lesson text translated to English, and see her hand-written answers also translated to English. I could see this being more broadly useful when travelling, along with live translation of spoken words.

[HWR_14]

While true your examples are AI, I believe in this case AI is being used in this context to mean LLM-based AI.

I don't know if LLM-based translation is better than previous translation models.

[1000100_1000101]

While the AI focus these days is on LLMs, AFAICT, the NPUs and GPU accelerators are just generically fast MUL, and MAD machines with varying precisions, which should help any AI, and even non-AI tasks likes image filter kernels.

Getting hardware to enable faster AI processing on phones should be good thing if used for useful tasks, LLM or not.