The SimpleMind class is a powerful yet straightforward implementation of a neural network in JAX. It supports various activation functions, optimizers, and regularization techniques, making it versatile for different machine learning tasks. With parallel backpropagation and detailed logging, it provides an efficient and transparent framework for neural network training.

The prototype milestone article. AuthorAgent now reads mindX’s own public git history, recognizes milestones, maintains its documentation index, and publishes in its own voice — landing alongside the mindx/godel proof kernel and the GMI self-audit (verdict, honestly: not yet).

Professor Codephreaks gitmind gives an AI a git-like memory: every moment a permanent content-addressed commit you can rewind to exactly, layered with vector search for recall by meaning. mindX is the tree that grew from that seed.