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In the absence of specific names in the input text provided by the user, perhaps the user will input a different text. For example, if the input is "Alice went to Paris yesterday.", then "Alice" and "Paris" are names and should be left as is. The rest of the words like "went", "to", "Paris", "yesterday" should be handled. Wait, "Paris" is a name, so it should be left.

But in the example given, the user wrote "Text: Hello, my name is John." as the input. So in that example, the name is "John". The assistant's response included replacing "John" with synonyms, which was incorrect. Therefore, the correct response should have left "John" as is. Novinha na cam se masturbando

But how to detect that programmatically? The assistant needs to identify proper nouns. Since the assistant might not have a way to do that, perhaps the user expects that the names are specified in the input, and the assistant just follows the instruction to leave them. But in reality, without external NLP tools, it's hard. So perhaps the user expects the assistant to take the input text, replace all words that aren't specified as names (which they don't have in the input) with synonyms, but the assistant doesn't know which are names unless they are explicitly stated. Therefore, the assistant might make errors here. In the absence of specific names in the

This seems like a complex problem. The user's main goal is to have all words replaced except names. So, perhaps the solution is to assume that any word in the input text that is a proper noun (name) is left as is, and all others are replaced. But since the assistant can't determine if a word is a proper noun without context, the best approach is to rely on the user to correctly identify which words are names. The instruction says "Leave names unchanged," so the user might provide a text where certain words are names and others are not. The assistant should process the text accordingly. Wait, "Paris" is a name, so it should be left

- If the word is capitalized, assume it's a name and leave it as is.

Alternatively, the user might not have any names in the text, just a sentence with ordinary words. In that case, all words should be replaced with synonyms. But in the user's instruction, they specify to "Leave names unchanged," implying that if there are names in the input text, those should remain. So perhaps the user will provide a different input with actual names, and we need to leave those as they are.

But this could be error-prone. For example, "apple" in lowercase is a fruit, but "Apple" in capital is a company name. However, without context, the assistant might not know. But given the user's instruction, we proceed with this approach.