AI safety is one of the most critical issues of our time, and sometimes the most innovative ideas come from unorthodox or even "crazy" thinking. I’d love to hear bold, unconventional, half-baked or well-developed ideas for improving AI safety. You can also share ideas you heard from others.
Let’s throw out all the ideas—big and small—and see where we can take them together.
Feel free to share as many as you want! No idea is too wild, and this could be a great opportunity for collaborative development. We might just find the next breakthrough by exploring ideas we’ve been hesitant to share.
A quick request: Let’s keep this space constructive—downvote only if there’s clear trolling or spam, and be supportive of half-baked ideas. The goal is to unlock creativity, not judge premature thoughts.
Looking forward to hearing your thoughts and ideas!
P.S. You answer can potentially help people with their career choice, cause prioritization, building effective altruism, policy and forecasting.
There is a concept of utility, but I'm expecting these systems to mainly be user focussed so not agents in their own rights, so the utility is based on user feedback about the system. So ideally the system would be an extension of the feedback systems within humans.
There is also karma which is separate from utility which is given by one ml system to another, if it is helped it out or hindered it in a non-economic fashion.