MaxLeiter explores the hidden structure behind neural networks

MaxLeiter digs into how neural networks actually work by examining their fundamental building blocks—the weights that drive predictions. The piece clarifies a concept that often gets glossed over in AI tutorials, making it useful for makers building or deploying models who want to move past black-box thinking.