I wish I were confident enough in my skills, knowledge and rationality to actually work on some of these papers. "Self-Modification and Löb's Theorem" is exactly what comes up when I query my brain for "awesome time spent in a cave dedicated entirely to solving X". All the delicious mind-bending recursion.
Hopefully in a few years I'll look back on this and chuckle. "Hah, to think that back then I thought of simple things like self-modification and Löb's Theorem as challenges! How much stronger I've become, now."
More on topic, I feel like there's a need for something addressing the specific AGI vs Specialized AI questions/issues. Among things that pop to mind, why a self-modifying "specialized" AI will, given enough time and computing power, just end up becoming a broken paperclip-maximizing AGI anyway - even if it's "grown" from weak Machine Learning algorithms.
I've once again updated my list of forthcoming and desired articles on AI risk, which currently names 17 forthcoming articles and books about AGI risk, and also names 26 desired articles that I wish researchers were currently writing.
But I'd like to hear your suggestions, too. Which articles not already on the list as "forthcoming" or "desired" would you most like to see written, on the subject of AGI risk?
Book/article titles reproduced below for convenience...
Forthcoming
Desired