So going back to the understanding of how it generated this, is quite simply the most statistically relevant search space of it’s weights it has been trianed on and it has basically just produced a series of tokens, one after another that are relevant to the input, the next token and so on. It’s a trivial example I know, but it basically pattern matches it’s way through it’s vast search space just producing outputs based on context.