Building grounded memory systems for embodied intelligence

Founded by Jason Dury in Perth, Australia. We're developing Bernard — an embodied AI system designed to be raised through lived experience rather than trained on static datasets. Our research explores developmental cognitive architectures built on Joint Embedding Predictive Architectures (JEPAs), where meaning exists natively in embedding space and intelligence emerges from prediction, association, and grounding in reality. Current work spans predictive associative memory, confidence-weighted plasticity, and the structural conditions under which genuine understanding might arise.

Confidence-Weighted Plasticity

A reliability-weighted learning mechanism where component adaptability is determined by predictive accuracy. Plasticity reactivates automatically during distribution shifts — no external schedule required.

Confidence-Weighted Plasticity: Experimental Validation and Boundary Conditions

Experimental validation confirming the core CWP mechanism functions as intended, alongside identification of boundary conditions in tightly-coupled architectures where shared parameters cause the mechanism to malfunction.

jason@eridos.ai