So what happens when the world becomes hyper optimized with closed loop AI agents recursively trying to optimize everything deemed sub optimal?
there will be a lot of paper clips
The orthogonality thesis sounds like a fun gotcha but if you give it some thought you realise how strange it sounds and the opposite thesis - collinearity thesis is actually correct.
1. Intelligence transfers and compounds
2. Goals of agents are not arbitrary
3. Our goals and agent goals are more likely to be aligned at the deeper level