Different regions, yes - but where did the training and benchmark datasets come from? AI research is surprisingly monocultural (or use "standardized benchmarks" if you're feeling charitable). Not too long ago, there was a paper posted on HN that showed that a bunch of the datasets contain mislabeled data, which means a lot of "different" models are encoding similar biases.