A personal collection of notes, essays, and interactive experiments across the topics I’m studying. Some posts include runnable Python and hands-on tools.
Geometric intuition for when a linear system has one solution, none, or infinitely many — and how the null space describes that whole family of solutions. With an interactive visualizer.
A deep dive into the transformer architecture — from the core self-attention mechanism to why positional encodings matter, with interactive Python visualizations.
Descartes drew a sharp line between mind and matter. Modern AI systems blur it. Does substrate matter for consciousness? A reading of Chalmers, Dennett, and some uncomfortable questions.