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Cultural Awareness in Global AI | Cohere
Cohere Labs' analysis of modern LLM training pipelines reveals that cultural diversity is systematically lost during post-training, even when models support multiple languages. The authors argue that building truly global AI requires moving beyond multilinguality to explicit cultural representation in training data itself, as inference-time alignment techniques assume cultural knowledge is already present in the model.