re: data on cloud providers: I trust ProtonDrive to not use my data because it is encrypted in transit and in place.
Apple now encrypts most data in transit and in place also, and they document which data is protected. I am up in the air on whether a future Apple will want to use my data for training public models. Apple’s design of pre trained core LLMs, with local training of pluggable fine tuning layers would seem to be fine, privacy wise, but I don’t really know.
I tend to trust the privacy of Google Drive less because I have authorized access to drive from Colab Pro, and a few third parties. That said, if this article is true, then less trust.
Your analogy with early Gmail is good. I got access to Gmail three years before it became public (Peter Norvig gave me an early private invite) and I liked, at the time, very relevant ads next to my Gmail. I also, gave Google AI plus (or whatever they called their $20/month service) full access to all my Google properties because I wanted to experiment with the usefulness of LLMs integrated into a Workplace type environment.
So, I have on my own volition surrendered privacy if Google properties.
All it takes is a "simple" typo in the code that checks if the user has granted access to their content. Something as amateur (which I still find myself occasionally doing) as "if (allowInvasiveScanning = true)" that goes "undetected" for any period of time gives them the a way out yet still gains them access to all the things. Just scanning these docs one time is all they need.
Apple now encrypts most data in transit and in place also, and they document which data is protected. I am up in the air on whether a future Apple will want to use my data for training public models. Apple’s design of pre trained core LLMs, with local training of pluggable fine tuning layers would seem to be fine, privacy wise, but I don’t really know.
I tend to trust the privacy of Google Drive less because I have authorized access to drive from Colab Pro, and a few third parties. That said, if this article is true, then less trust.
Your analogy with early Gmail is good. I got access to Gmail three years before it became public (Peter Norvig gave me an early private invite) and I liked, at the time, very relevant ads next to my Gmail. I also, gave Google AI plus (or whatever they called their $20/month service) full access to all my Google properties because I wanted to experiment with the usefulness of LLMs integrated into a Workplace type environment.
So, I have on my own volition surrendered privacy if Google properties.