Zhu Mi Fang Baffles Actor Liu Meihan as AI Tools Disagree on Its Pronunciation

Recently, actress Liu Meihan shared a hilarious dubbing anecdote on social media, sparking widespread online discussion about the reliability of AI. While recording lines for her new drama, she was unsure how to pronounce the character "坊" in "铸币坊". She consulted five leading AI tools for help, but their conflicting answers left her utterly bewildered.
The Great AI "Heteronym" Showdown:
Diverging Answers: In Liu Meihan's test, Baidu's AI suggested the pronunciation fáng; meanwhile, DeepSeek, Tencent's Yuanfang, and Alibaba's Qwen all unanimously responded with fāng.
Same App, Different Results: What truly astonished Liu Meihan was that the Doubao app on her phone and the version on her voice director's device produced different pronunciations for the exact same query.
A Dictionary to the Rescue: Lost in this chaos, Liu Meihan finally turned to the authoritative Xinhua Dictionary app, which confirmed the correct pronunciation as fáng (typically used in street or shop names).
Liu Meihan reflected that while people increasingly default to "asking AI" for solutions, large language models still exhibit significant "hallucinations" and inconsistencies when faced with precise academic or phonetic questions. Their final answers, therefore, may not always be trustworthy.
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Comments (2)
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Wait, so the AI couldn't agree on how to say 'Zhu Mi Fang'? That's hilariously ironic — a tool built to be consistent can't even settle on a pronunciation. 😂 Makes you wonder how many other basic things AIs get wrong behind the scenes. Liu Meihan's dubbing story is a perfect reminder: trust but verify, especially when you're about to sound like a fool on camera.
C'est hilarant ! Cet incident révèle les limites actuelles des IA linguistiques. On les utilise partout pour la traduction ou la synthèse vocale, mais pour un nom propre, elles sont perdues. Ça donne à réfléchir sur notre dépendance à ces outils. En même temps, c'est bien de voir que les acteurs font encore des recherches méticuleuses 👏

Recently, actress Liu Meihan shared a hilarious dubbing anecdote on social media, sparking widespread online discussion about the reliability of AI. While recording lines for her new drama, she was unsure how to pronounce the character "坊" in "铸币坊". She consulted five leading AI tools for help, but their conflicting answers left her utterly bewildered.
The Great AI "Heteronym" Showdown:
Diverging Answers: In Liu Meihan's test, Baidu's AI suggested the pronunciation fáng; meanwhile, DeepSeek, Tencent's Yuanfang, and Alibaba's Qwen all unanimously responded with fāng.
Same App, Different Results: What truly astonished Liu Meihan was that the Doubao app on her phone and the version on her voice director's device produced different pronunciations for the exact same query.
A Dictionary to the Rescue: Lost in this chaos, Liu Meihan finally turned to the authoritative Xinhua Dictionary app, which confirmed the correct pronunciation as fáng (typically used in street or shop names).
Liu Meihan reflected that while people increasingly default to "asking AI" for solutions, large language models still exhibit significant "hallucinations" and inconsistencies when faced with precise academic or phonetic questions. Their final answers, therefore, may not always be trustworthy.
DeepMind CEO Hassabis: I sleep six hours a day, usually feel energetic around 1 a.m.
Fortune recently featured an interview with Demis Hassabis, CEO of Google DeepMind, revealing his unconventional approach to rest and productivity. Hassabis disclosed that he sleeps very little, structuring his waking hours into two distinct work blo
OpenAI, Anthropic Vie for Market Share Despite Revenue Shortfalls
Despite recent reports suggesting OpenAI missed revenue targets, creating pressure on tech stocks this Tuesday, private AI lab investors remain resilient. Seasoned backers have confirmed they will not reduce investment despite negative media coverage
Wait, so the AI couldn't agree on how to say 'Zhu Mi Fang'? That's hilariously ironic — a tool built to be consistent can't even settle on a pronunciation. 😂 Makes you wonder how many other basic things AIs get wrong behind the scenes. Liu Meihan's dubbing story is a perfect reminder: trust but verify, especially when you're about to sound like a fool on camera.
C'est hilarant ! Cet incident révèle les limites actuelles des IA linguistiques. On les utilise partout pour la traduction ou la synthèse vocale, mais pour un nom propre, elles sont perdues. Ça donne à réfléchir sur notre dépendance à ces outils. En même temps, c'est bien de voir que les acteurs font encore des recherches méticuleuses 👏





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