Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning

Interesting arguments against the premise of the No Free Lunch theorems: our datasets are not uniformly distributed across the space of datasets. Hence why some models seem so applicable to many problems, such as transformers.