A small blog about how AI actually works
No hype, no jargon left unexplained, no pretending every announcement is a breakthrough.
Why this blog exists
Most writing about artificial intelligence falls into one of two camps: breathless coverage that treats every new model as a revolution, or dense academic papers that assume years of background knowledge. Signal tries to sit in the middle — accurate enough to trust, plain enough to actually read.
Every article is written to answer one honest question: what is actually going on here, and why should a reader care? We avoid inflated claims, and we're comfortable saying when something is still uncertain or unproven.
What we cover
Articles are grouped into five areas: machine learning fundamentals, deep learning architectures, natural language processing, robotics, and AI ethics. Each piece is written by someone who has worked directly in that field, then edited for clarity by someone who hasn't — if it doesn't make sense to a general reader, it gets rewritten.
We publish a couple of times a month rather than daily. The goal is articles worth finishing, not a constant stream of updates.