I think you’re right — we are approaching the same terrain from different directions. But the elliptic curve is not the ontology. It’s not that class threads are points on an EC in embedding space. That framing drifts back toward “geometry of meaning.” That’s not what I’m doing. Class threads are structural constraints in the knowledge graph: minimal canonical node types minimal canonical relation types vertical and horizontal weaving compositional consistency That’s ontology discipline. Elliptic curves enter at a different layer. They are a state space substrate. Think of it this way: Tapestry / class thread principle defines: → what structures are allowed. Elliptic traversal defines: → how state transitions occur inside a closed algebra. So it’s not: “Each class thread is a curve.” It’s more like: “The algebraic state transitions that represent class-thread-consistent extensions live inside a closed group.” The EC provides: finite cyclic structure closure under composition inverses bounded growth deterministic traversal It’s a motion engine, not a semantic embedding. You could implement class threads without elliptic curves. But if you want: compositional determinism bounded, non-exploding traversal cryptographically anchorable state commitments algebraic auditability then a compact algebraic group is attractive. So the connection is not geometric embedding. It’s this: Class threads minimize ontology complexity. Elliptic algebra minimizes transition complexity. One governs structure. The other governs motion. If they converge, it won’t be because threads are points on curves. It will be because: Minimal ontology + minimal algebra = stable, composable knowledge growth. That’s where the two approaches may meet. Not in embedding space. In constraint space.

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Well, to be strictly precise, it was me prodding Claude that brought up lattices, categories, and types as elements of a discrete language model. This makes the actual implementation part possible. Categories, types, and lattices together compose elements of ontology — dividing them up, giving separation between domains, and linking them together.