1) If you haven't read AI as Normal Technology, these annotated slides are probably the easiest way to get a high-level overview. 2) If you're already familiar with the core ideas, Part 1 of the talk is largely a summary of what I and @sayashk have already written, while Parts 2 and 3 have new ideas. There are a lot of unexamined assumptions in the discourse about Recursive Self-Improvement and I hope you find my pushback interesting. 3) I'm really grateful to the team (@steverab @sayashk @PKirgis & Felix Chen) for feedback on the talk. In my first version, Part 2 was about 3x too long and I was super frustrated with myself. They encouraged me to cut it down ruthlessly and turn the full version into essays on the newsletter, so that's what I plan to do! ( 4) I've received a few requests for the video. There's a video on the ICML website, but it is login-walled (I assume it's for ICML registrants only). Last year's videos are public, so presumably @icmlconf will make it public at some point.