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This paper introduces Anthropogenic Regional Adaptation, a paradigm for optimizing vision-language models to specific regional contexts while maintaining global generalization. The authors propose GG-EZ, an adaptation method using regional data filtering and model merging, demonstrating 5-15% improvements in cultural relevance for Southeast Asia across three VL architectures.