Does it matter? I'm saying that what you mean by "the real you" may not really be the most useful definition. If there are 10 people on the planet that would be

Does it matter? I'm saying that what you mean by "the real you" may not really be the most useful definition. If there are 10 people on the planet that would behave exactly the same way when put in the same conditions, I don't really need to make a distinction between any of you. Each one is as good as the other. I don't even feel necessarily comfortable with the completely anonymous usages of ML on my data. Like the mentioned "next word prediction". Language models we've seen by now don't really understand anything about the text, and surely nothing about who you are. Yet they are uncannily good in "understanding" the context somehow. It really doesn't know anything about the world in the strict sense of the word, but given your sentence starts with "Tensorflow" it is still able to understand that something about "neural networks" and "machine learning" would be a good way to continue. So if it learns on some very unique stories on a very unique subject you were telling someone in the WhatsApp, a model, trained on this data, actually might tell someone else the story vaguely resembling what you just said given the right context. Even though it didn't try to learn anything specifically about you, or even gather any data from you in a non-anonymous way. Of course, I don't mean to say this is actually likely to happen with how it's likely to be used, I'm just saying that to illustrate the possibility.