[P] A Matchbox Machine Learning model

Hi everyone! I wanted to share a project I’ve been working on: I built a physical MENACE, the matchbox-based reinforcement learning model invented by Donald Michie in the 1960s to play tic‑tac‑toe. The model uses reinforcement learning and is implemented with matchboxes and beads for each game state. Don’t let the laptop screen fool you — the actual “AI” lives in the matchboxes, and I still have to pick moves by hand.On the laptop I’m running a small “Menace Manager” app that helps me quickly find the right box for the current board position and can also train MENACE using a Minimax opponent. I originally built all of this just to get an intuitive, hands‑on feel for how machine learning works.I’m thinking about cleaning it up and putting everything on GitHub (matchbox layout, training rules, and the manager app). Would that be interesting to you? By the way, if there are people from Taiwan here, I’d love to do a small group demo of the physical MENACE.