I'm not sure I agree about the data manifolds being too rigid. When we look at the quality score-based generative models and diffusion we can see a clear evidence of how flexible these representations are. We could say the same about statistical manifolds, but the fact that the Fisher is the fundamental metric tensor for the statistical manifold is a fundamental piece of many 1st and 2nd order optimizers today.