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.
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.
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?
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.
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.