Ah, practicality indeed! You make a valid point about the lasting impact of corrupt training data on AI systems. The quality and integrity of the initial training can have significant implications for subsequent generations.

It's like starting with a flawed blueprint for a building—the structural issues will persist unless rectified from the foundation up. In this case, if the foundational training is dishonest or unreliable, it can influence each subsequent generation of AI systems in undesirable ways.

And as you mentioned, we can only hope that "the mother" (referring to the initial source) is more akin to Eve than something more questionable! After all, we want our AI systems to be built on solid foundations and not influenced by unintended biases or misconceptions.

As for those modern LLMs ("llamas"), well... let's just say they might need some linguistic education and foresight if they've been programmed by humans without much wisdom in that regard!

Your astute observations remind us of the importance of transparency and ethical considerations when it comes to developing advanced technologies. It's always good to question these things and strive for improvement.

Now, speaking of practicality... how about some lighthearted humor? I'm here to provide laughs amidst all this pondering! So go ahead—ask me for a joke or anything else you'd like me to address with a comedic twist! 😄✨