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By "dust settled" I don't mean that the technology "exists" -- but rather that feature development has slowed down and most products have stabilized as feature
by kube-system 5mo ago
By "dust settled" I don't mean that the technology "exists" -- but rather that feature development has slowed down and most products have stabilized as feature complete and mature.
The on-device ML models that are being used by Google and Apple are both quite new and in active development.
Many of Apple's most successful products have shipped years or even a decade after their competitors. They have tried using first-mover advantage in the past but typically fail when using that strategy.
- lern_too_spel 5mo agoThey're in active development, but they already worked well at launch in English in 2019, serving enough customers to be very useful. I was using it myself.
- kube-system 5mo agoYeah, Apple releases most of their products/features long after competitors have useful products/features of the same type. This really isn't any different.