This post is shameless self-promotion, but I'm told that's probably okay in the Discussion section. For context, as some of you are aware, I'm aiming to model C. elegans based on systematic high-throughput experiments - that is, to upload a worm. I'm still working on course requirements and lab training at Harvard's Biophysics Ph.D. program, but this remains the plan for my thesis.
Last semester I gave this lecture to Marvin Minsky's AI class, because Marvin professes disdain for everything neuroscience, and I wanted to give his students—and him—a fair perspective of how basic neuroscience might be changing for the better, and seems a particularly exciting field to be in right about now. The lecture is about 22 minutes long, followed by over an hour of questions and answers, which cover a lot of the memespace that surrounds this concept. Afterward, several students reported to me that their understanding of neuroscience was transformed.
I only just now got to encoding and uploading this recording; I believe that many of the topics covered could be of interest to the LW community (especially those with a background in AI and an interest in brains), perhaps worthy of discussion, and I hope you agree.
I would have liked to use examples of plugging in clearly terminal values to a general goal achieving system. But the only current or historical general goal achieving systems are humans, and it is notoriously difficult to figure out what humans' terminal values are.
I am not claiming that you could give an AGI an arbitrary goal system that suppresses the "Basic AI Drives", but that those drives will be effective instrumental values, not lost purposes, and while a paperclip maximizing AGI will have sub goals such as controlling resources and improving its ability to predict the future, the achievement of those goals will help it to actually produce paperclips.
It sounds like we agree: paperclips could be a genuine terminal value for AGIs, but a dead future doesn't seem all that likely from AGIs (though it might be likely from AIs in general).