Anthropic analyzed Claude's diverse language response tendencies and found that when responding in Korean, he tends to be receptive to user requests and answer warmly and concisely. On the other hand, his English and Russian responses tend to emphasize accuracy and rigor. The analysis suggests that these language-specific differences may stem from cultural context or variations in training data composition. Anthropic plans to further analyze the impact of model training methods and language environments on response quality.
