The WCLM: a deterministic transformer over our graphs

The crazy experiment, commissioned: a mini engine in the shape of a transformer where nothing is learned and everything is named — tokens are content hashes, the layers are deterministic transformations with declared roles, attention is the co-occurrence and concept-binding made visible, and the query flips from predict-the-next-word to what-does-this-mean, answered with provenance, blast radius and weights instead of probability. Training is tweaking graph inputs, never fitting numbers. Meaning packs bring the world above the document: QA is part of development.