In my book, Co-Intelligence, I outlined a way that people could work with AI, which was, rather unsurprisingly, as a co-intelligence. Teamed with a chatbot, humans could use AI as a sort of intern or co-worker, correcting its errors, checking its work, co-developing ideas, and guiding it in the right direction. Over the past few weeks, I have come to believe that co-intelligence is still important but that the nature of AI is starting to point in a different direction. We're moving from partners to audience, from collaboration to conjuring.A good way to illustrate this change is to ask an AI to explain what has happened since I wrote the book. I fed my book and all 140 or so One Useful Thing posts (incidentally, I can’t believe I have written that many posts!) into NotebookLM and chose the new video overview option with a basic prompt to make a video about what has happened in the world of AI.A few minutes later, I got this. And it is pretty good. Good enough that I think it is worth watching to get an update on what has happened since my book was written.But how did the AI pick the points it made? I don’t know, but they were pretty good. How did it decide on the slides to use? I don’t know, but they were also pretty on target (though images remain a bit of a weak point, as it didn’t show me the promised otter). Was it right? That seemed like something I should check.So, I went through the video several times, checking all the facts. It got all the numbers right, including the data on MMLU scores and the results of AI performance on the neurosurgery exam data (I am not even sure when I cited that material). My only real issue was that it should have noted that I was one of several co-authors in our study of Boston Consulting Group that also introduced the term “jagged frontier.” Also, I wouldn’t have said everything the way the AI did (it was a little bombastic, and my book is not out-of-date yet!), but there were no substantive errors.I think this process is typica