https://www.appmysite.com/blog/android-vs-ios-mobile-operati...
Random link. Can't vouch for it. But US and RoW have quite different patterns.
Seems about right to me, Android dominates the mobile World by sheer numbers.
But what is the value that they can derive from user data? A million Bangladeshi's texts from food delivery is probably a lot less valuable than say a Singaporean using Numbers on Mac OS to layout the next lucrative investment and the data they;d get from the correspondence of say 100 high net worth individuals hidden behind iOS (Pegasus MITM attack notwithstanding).
Again, the name of the game is to derive signal from noise from data, bulk collection is primitive when training models and often incredibly difficult to work around once it is in. I seriously think Gemini had this problem, along with QA/QC issues, rather it going from so-so Bard to total 'woke' Gemini. I may be wrong, but I think this is what happens when you go down the bulk collection and unfiltered/un-curated data route.
What, are the pictures and videos of people from the global south somehow not good enough to train AI due to their economic situation?
I don't make the rules, in fact if you are seriously wondering what use 'darker' people's data have had with AI training look no further than the surveillance based platforms that are responsible for tons of false incarcerations of mainly black US citizens [0].
I'm not sure if it's going to change for the plight of the 'Global South's' data either. It's not that I think it's inherently prejudiced, either; it's more like it's optimized to be greedy in order to extract as much value as it possibly can from the current system at all costs.
People need to stop smoking hopium and thinking that this is going to usher some sort of egalitarian renaissance, this is business as usual by the mega corps that bring you this tech.
0: https://innocenceproject.org/artificial-intelligence-is-putt...
