You probably underestimate the amount of effort Apple puts into not doing this, to maintain user privacy, and for a good while their services have suffered for it.
As an example I’d highlight the year in review feature between Apple Music and Spotify. “Replay” is significantly worse than “Wrapped” and I believe the difference is data handling is the key differentiator.
However, there are some advances in balancing privacy 2ith utility, as highlighted in this post from Apple ML research: https://machinelearning.apple.com/research/scenes-differential-privacy
Of course, otherwise would mean investing in huge data centers for running LLM models, or worse, buying hardware from NVIDIA.
Optimization is the key. Privacy is just an added bonus.
No. Seriously, you underestimate how much these companies can make by transferring data to their server.
You probably underestimate the amount of effort Apple puts into not doing this, to maintain user privacy, and for a good while their services have suffered for it.
As an example I’d highlight the year in review feature between Apple Music and Spotify. “Replay” is significantly worse than “Wrapped” and I believe the difference is data handling is the key differentiator. However, there are some advances in balancing privacy 2ith utility, as highlighted in this post from Apple ML research: https://machinelearning.apple.com/research/scenes-differential-privacy
Imagine all the stuff that Grammarly gets to see