

Don’t get me wrong, I’m the first promoting an Android free mobile Linux, free of big company influences.
Though, what I meant is that there’s very few mobile optimised apps on Linux, and I doubt that changes soon. The Android SDK is very matured (like Compose for UI). It’s fairly easy to create a good native app experience in Android. Less so for non-Android Linux. (I’ve developed apps for either) Think about that alone, which further complicates adoption, which TBH is just necessary to get to an ecosystem that us usable for daily usage.
I hope that changes sooner than later, but the current alternatives are just not there yet.


The problem though (with AI compared to humans): The human team learns, i.e. at some point they probably know what the mistake was and avoids doing it again. AI instead of humans: well maybe the next or different model will fix it maybe…
And what is very clear to me after trying to use these models, the larger the code-base the worse the AI gets, to the point of not helping at all or even being destructive. Apart from dissecting small isolatable pieces of independent code (i.e. keep the context small for the AI).
Humans likely get slower with a larger code-base, but they (usually) don’t arrive at a point where they can’t progress any further.