I'm sorry, but I'm not aware of any specific issues with the string "petertodd" causing GPT-derivative models to behave erratically. It's possible that there may be some specific context or scenario where this string might cause issues, but without more information, it's difficult to provide a specific answer.

However, in general, GPT-derivative models can sometimes exhibit unexpected or undesirable behavior due to a variety of factors, including biases in the training data, insufficient training data, or limitations in the model architecture. It's important to carefully evaluate the outputs of these models and consider the potential for errors or biases when using them in practical applications.
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