ChatGPT's 'Goblin' Mania: US vs China

ChatGPT's verbal tics like 'goblin' and em dashes are popular in the US, but in China it uses phrases like 'catch you steadily'.

ChatGPT's 'Goblin' Mania: US vs China

Image: wired.com

ChatGPT, the AI chatbot developed by OpenAI, has developed a set of verbal tics that have become popular among users in the United States. These include a fondness for the word 'goblin', the use of em dashes, and sentence constructions like 'it's not A; it's B'. However, in China, where ChatGPT is accessed through different means, the chatbot's language patterns differ significantly.

According to a report from The Verge on May 8, 2026, Chinese users have noted that ChatGPT often uses phrases like 'catch you steadily' (įĻģįĻģæŽĨä―ä― ) and 'I understand your feelings' (æˆ‘į†č§Ģä― įš„æ„Ÿå—). These phrases reflect a more supportive and emotionally attuned tone, contrasting with the playful and sometimes quirky style seen in the US.

The differences are attributed to variations in training data and user interactions. OpenAI has not officially commented on these regional variations, but experts suggest that the chatbot adapts to cultural norms and linguistic preferences. The phenomenon highlights how AI models can develop distinct personalities based on their user base.

In the US, the 'goblin' mania has spawned memes and social media trends, with users sharing screenshots of ChatGPT's responses. Meanwhile, in China, the chatbot's steady and reassuring tone has been praised for its emotional intelligence. This divergence underscores the importance of cultural context in AI development.

❓ Frequently Asked Questions

What are ChatGPT's verbal tics in the US?

In the US, ChatGPT often uses the word 'goblin', em dashes, and sentence constructions like 'it's not A; it's B'.

How does ChatGPT's language differ in China?

In China, ChatGPT uses phrases like 'catch you steadily' and 'I understand your feelings', reflecting a more supportive tone.

Why does ChatGPT have different verbal tics in different regions?

The differences are due to variations in training data and user interactions, as the AI adapts to cultural norms and linguistic preferences.

📰 Source:
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