Annoyingly, I'm not going to answer your question, but I'm going to ask you a question: having read all of those books, which would you most recommend to a person who was only going to read one book about AI?
If your answer is 'depends what they're looking for', imagine I'm the one person: my priorities are:
-a very clear case for why AI might be dangerous, with all the steps laid-out and strongly argued-for, such that I can easily pick out parts where I'm confused or disagree
-includes relatable everyday examples, both because that will help me understand, and because I'd like some of these at my fingertips so that I can more easily explain AI risk to non-EAs who aren't familiar with it (or aren't familiar with the sorts of risks that EAs worry about).
What's your goal?
No specific goal; just exploratory learning. I'm curious, I like learning, and I'm looking for book recommendations. I have a moderate preference for learning things that are useful/applicable in relation to EA, but I am not reading about AI in order to become an AI policy expert of a consultant on AI safety or something like that. I'm okay with readings that line up with that, but it isn't something that I am specifically aiming for.