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Interestingly to me: of the commonly known LLMs only GPT-4 was willing to even address this. It said:
The Large Language Model Condenser would process responses to identify repetitive or generic phrases and remove them, leaving only the most relevant information. By filtering out common introductory or concluding phrases, and retaining unique words and phrases, the output would be more concise and focused.
The other models all answered with a variant of "I apologize, but I do not feel comfortable manipulating or editing my own responses in the way you have described." |
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Interesting experiment [+] |
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Repeated iterations of this algorithm will tend towards the single most concise answer possible to any general question. |
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^ This, [a1], thank you for this. It's a rainy day here at Camp Teacup, and I'm just waxing nostalgic for our pal Douglas, and Sir Pterry, Robin Williams, Dame Edna, oh, and Rosalind Russell, Lucille Ball, Marjorie Main and Percy Kilbride. |
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