The difference is the source of the sample. This is a flagship product by a frontier lab. It should be reflective of the best that is possible. It should be biased in the most favorable possible way. It was designed by people without the normal limitations and quotas of outsiders in building it, as well as in learning experiences in driving it. This is not a random cherry-pick of bad code.
replyAgain, the same parallel can be drawn by frontier tech companies. Case in point: Even before AI (and even till date), iOS has always been buggy, crappy. Apple was a trillion dollar company when they had some of the worst bugs in iOS launched to public.
replyThe same story for Google's products - their products were always buggy even before AI. And so is the case for Microsoft.
I think the reasonable argument is that AI or not, software problems are hard problems to solve. And software is constantly evolving. AI isn't a magic wand. It also depends a lot on the humans using it, including prompting and context supplied to it.
Drawing a massive conclusion from a tiny, unrepresentative sample is just hasty generalization.