> what it could tell me about how it was programmed, what internal data Google uses it to train it, and what policy was used to determine what data was acceptab

> what it could tell me about how it was programmed, what internal data Google uses it to train it, and what policy was used to determine what data was acceptable/unacceptable. I find it's common that we assume that a model actually has this information, even though I can't see a reason it would be in the training data to begin with. More likely perhaps, is that it just hallucinates and tells us what we want to hear or it tells us nothing at all.