xLSTM is a new RNN architecture that aims to improve upon the original LSTM by incorporating Exponential Gating, normalization, stabilization techniques, and a new Matrix Memory. It demonstrates enhanced performance on Language Modeling tasks compared to Transformers or State Space Models.