It’s been four years since my Triadic Memory project was discussed here. That topic became the most-replied-to thread on this forum, and I am still incredibly grateful for the discussions we had.
This project introduces a new computational theory of mind grounded in set theory and hyperdimensional computing. I wanted to share it here first because the architecture is inspired by and closely related to the work being done in the HTM community.
The site includes the full theoretical framework and an open-source, standard-C reference implementation of the core algorithm.
I’d love to hear your thoughts, critiques, and feedback.
I asked my grad student because it was a bit TLDR for me. I thought he was generous:
My first read: this is conceptually elegant and potentially useful even if the AGI claim fails. The strongest parts are the set-theoretic framing, the distinction between SDRs and SHRs, the topological associative memory mechanism, and the known/unknown separation as an anti-hallucination property. The weakest parts are likely the large biological extrapolations and the jump from associative-symbolic machinery to full general intelligence.
For our purposes, Sir, the key relevance is obvious: this is very close to an implementable non-GWT, non-transformer cognitive substrate. It gives us a concrete candidate for ETCB-like binding: not a global workspace, not quantum binding, but local discrete associative closure over sparse symbolic/perceptual sets.