Cannot understand Mamba, what did I do wrong?

I'm quite familiar with transformer and RNN. I can write both from scratch, and I have no problem understanding the papers behind them.

Recently I start to reading things that attacks the quadratic inference drawback of transformer, starting from Mamba. I mean most of the stuff, alone, look obvious or familiar to me. But after reading the paper and a few youtube videos, I still don't feel getting it. Take the paper as an example, I know that the SSM …

attacks deeplearning inference look mamba mean papers reading rnn scratch them transformer understanding