Does the amazing OCR in the macOS Preview app count? As someone who sometimes gets tracebacks sent to as screenshots, I'm really happy about it.

- If you get into a car crash with your iPhone a ML model detects this and automatically calls emergency services.

- If you are wearing an Apple Watch a ML model is constantly analyzing your heart rhythm and will alert you to (some types of) irregularities. It's so computationally efficient it can literally do this in the background all day long.

- When you take any picture on any iPhone a whole array of ML models immediately run to improve the image. More models are used when manually editing images.

- After you save the photo ML models run to analyze and index the photo so it's easily searchable later. That's why you can search for "golden retriever" and get actual results.

- When you speak at your device (for example, to dictate a text message) there's a ML model that transcribes that into text. Likewise, when you're hands-free and want to hear an incoming text message, an ML model converts it to audio. All on-device and available offline at that.

Or are we playing that stupid game where "AI === LLM"?

No Im not implying that. I toggled Apple Intelligence to off the first day.

The “proof read” feature in macOS Mail is very nice.

It looks like the parent was asking about LLMs specifically, in which case I don't think those two count. AFAIK Adobe's image-generation stuff is a diffusion model, not an LLM, and Nvidia's DLSS isn't an LLM either.

I have to admit - outside of cost and core values differences - Adobe has been an early player and often overlooked - but the company smells so bad that I guess they're a little looking for it.

Aren’t LLMs distinct from image generation and manipulation models?