The article discusses a new chess game mode in the game MW, created by a user named Aster, which has captivated the author, a chess enthusiast. While the game mode is enjoyable, the author notes some difficulty with the chess piece representations and suggests improvements for ease of recognition. The mode is currently available on the EU server, with a recommendation to search for "chess" within the game to find it.

The article describes a GitHub repository for a free book titled "Neural Networks For Chess," which explores deep-learning techniques in chess, including the workings of engines like AlphaZero and Stockfish NNUE. The book covers various fundamental topics in neural networks, classical search techniques, and offers practical implementation guidance through examples. The author encourages readers to contribute feedback and provides resources for setting up the necessary programming environment.

The article describes "Water," a chess library and engine written in the Zig programming language. It aims to provide a high-performance core library for building chess engines, incorporating advanced features like an iterative search engine and neural network capabilities. The article also outlines the setup and usage instructions for integrating Water into projects, as well as guidelines for contributing to the project.