#neuromorphic

A research-oriented post on r/MachineLearning claimed that a pure spiking neural network language model could reach 1.088B parameters from random initialization before budget limits ended the run.

A r/LocalLLaMA post reports a from-scratch 144M-parameter Spiking Neural Network language model experiment named Nord. The author claims 97-98% inference sparsity, STDP-based online updates, and better prompt-level topic retention than GPT-2 Small on limited examples, while clearly noting current loss and benchmark limitations.