The thing with recursive self-improvement in AI, is that if it were going to happen, it would already be happening
-
AutoML not meant to recursively self improve I thought. How about learning to learn by gradient by gradient descent? https://arxiv.org/abs/1606.04474
It's a pretty good case study on why exponential self-improvement isn't a thing -- self-improvement, when it occurs, is typically sigmoidal
