Noetic Diffusion Research Project

AI & ML interests

I work on SPIRALbase and NDT AI — a research direction focused on associative memory, attractor dynamics, and scalable alternatives to transformer-style memory. The goal is memory as a structured landscape rather than token-by-token attention: shared cores, local context blocks, projector-gated access, and controlled bridges for selective recall, continual learning, and efficient long-context reasoning. Current work spans SPIRALbase P(k), Hybrid-J, and Noetic Diffusion Theory—toward practical, low-cost architectures for persistent, interpretable AI memory.

Team members 1