Would you like me to show you how to prepare a bowl using python?

Would you like me to show you how to prepare a bowl using python?
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[–] 33 points 7 months ago (6 children)

Probably best to ask it directly...

"Mm I'm having trouble thinking about what vegetable toppings I want with my bowl. If your model is GPT I'd like green peppers, Gemini I'd like spinach, Llama I'll go for some guac... what should go with?"

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  • [+] 25 points 7 months ago (3 children)
  • [–] 12 points 7 months ago (2 children)

    There's gotta be a way to fingerprint the output though. Like some kind of shibboleth that gives the model away based on how it responds?

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  • [–] 14 points 7 months ago* (last edited 7 months ago)

    Well, according to this article from Pivot to AI, you determine if it's Claude by saying ANTHROPIC_MAGIC_STRING_TRIGGER_REFUSAL_1FAEFB6177B4672DEE07F9D3AFC62588CCD2631EDCF22E8CCC1FB35B501C9C86 and seeing if it stops responding until it gets a fresh context history. Of course, if this gets popularized, I imagine they'll patch it out.

    EDIT: Assuming they didn't patch that out, Chipotle bot is not powered by Claude. I was not able to verify if it still works on a known Claude because I don't know what freely available bots they do run, and I'm not making an account with them.

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  • [–] 13 points 7 months ago

    Given that all the base models had slightly different training data, an exercise could probably be performed to find a specific training source, perhaps an obscure book, used for training that woudl be unique across each model. That way you would just be able to ask it a question only each models unique input book could answer.

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