According to one version, the o1 language result may be affected by training on datasets containing many Chinese characters. Google DeepMind’s Ted Xiao noted that companies like OpenAI use third-party services to label Chinese data, which may contribute to this behavior.
However, other experts disagree with this view and state that the model may switch to other languages such as Hindi or Thai. AI researcher Matthew Guzdial argues that since o1 does not “know” what the language is, the model’s choice of language may reflect the most efficient way to perform a task.
Hugging Face’s Tizhen Wang added that models can use languages better suited to certain tasks, such as efficiently performing mathematical calculations in Chinese.
However, without transparency in the development of AI models, this behavior is difficult to fully explain.
Source: Ferra
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