6 posts
We built a full cognitive architecture modelled on the human brain — from biometric homeostasis to embodied swarm intelligence — using Irish-language names, open-source tools, and a theory that memory is topology, not storage.
Since the first Léargas experiment, the corpus grew from 33,440 to 56,006 documents, new data sources joined the manifold, and we built three interconnected visualisations — including one that shows a writing career and a cognitive history on the same animated canvas.
What if your memory system wasn't a database? We replaced records with a probability distribution over semantic space — a Gaussian Mixture Model that deforms when you think, consolidates while you sleep, and makes connections you didn't program. Here's what we built and what we found.
We built a consolidation layer that runs on top of Mnemos and Radharc to synthesise cross-domain memory bridges — the equivalent of what sleep does to human episodic memory. Here's what we found.
What does an AI model's internal representation of your personal memory actually look like? We ran 484 documents through two frozen models and mapped the geometry. Here's what we found.
We scaled the geometry mapping experiment to 2,000 documents and three models. The results changed in ways we didn't expect — and pointed directly at what Aislinge needs to do first.