We all know how difficult prompting can be. Over the the years, OpenAi has provided updated guides to Prompt Engineering.
But what about prompting in a language other than English?
Well, I prompted that question to OpenAI gpt-5.5 and here is what I got:
Prompt: Do AI prompts get lost in translation?
Response:
AI Prompts And Translation
I. Short Answer
Yes, AI prompts can get lost in translation. When a prompt is translated from one language to another, meaning, tone, cultural context, ambiguity, formatting instructions, and technical terms can shift. Even small changes in wording can affect how an AI model interprets the task and what kind of answer it produces.
II. Why It Happens
Translation is not always a one-to-one substitution of words. Some languages express politeness, certainty, time, gender, hierarchy, or intent differently. A prompt that sounds precise in one language may become vague in another, while a casual instruction may become too formal or too forceful after translation.
III. Prompt Sensitivity
AI models are sensitive to phrasing. Words such as “summarize,” “analyze,” “compare,” “classify,” and “explain” can lead to different outputs. If a translation changes one of these task verbs, the model may perform a slightly different task than intended.
IV. Cultural And Idiomatic Meaning
Idioms, humor, sarcasm, and culturally specific references are especially likely to lose meaning. A phrase that is clear to native speakers may be interpreted literally by the model after translation. This can cause the output to miss the intended tone or context.
V. Technical And Domain Language
Specialized prompts in law, medicine, engineering, programming, finance, or academia are more vulnerable to mistranslation. Technical terms may have multiple possible translations, and choosing the wrong one can change the substance of the request.
VI. Formatting And Instruction Loss
Prompts often include structure, constraints, or output rules. During translation, instructions about length, style, format, order, or exclusions may become weaker, more ambiguous, or accidentally omitted. This is one reason translated prompts sometimes produce less reliable results.
VII. Overall Conclusion
AI prompts can get lost in translation, not because translation always fails, but because prompts depend heavily on nuance, intent, and precision. The more complex, culturally specific, or instruction-heavy the prompt is, the more likely it is that translation will affect the AI’s response.
end of response
Just thinking about the engineering feat that OpenAI faces on this issue in mind-boggling, but may explain issues that people are having.
