> the thing that scares me about the existence of this data is that it seems well within the capabilities of current technology to train a model that can replicate me , in some sense There’s already all of your posts on social media accounts, all your emails on various servers, all of your text messages, all the notes you’ve written anywhere in any form that might end up in some database in the future. It does make m…
That only captures your output, not your input. The best people to simulate in this world would be so-called terminally online people virtually all of whom's input is itself online. So for those who've read a lot of paper books or done a lot of traveling or had a lot of offline conversations or relationships, I think it would be difficult to truly simulate someone.
Collect texts with known author and date. They can be books, articles, papers, forum and social network comments, emails, open source PRs, etc. Then assign each author a random ID, and train the model with "[Author-ID, Date] Text", and also "Text [Author-ID, Date]". This means you have a model that can predict authors and impersonate them. You can simulate someone by filling in the missing pieces of knowledge from the personality model.
Currently LLMs don't learn to assign attribution or condition on author. A whole layer of insight is lost, how people compare against each other, how they evolve over time. It would allow more precise conditioning by personality profile.