I’m a telecommunications engineer with 20+ years of experience building distributed network systems and AI-based anomaly detection for large-scale telecom infrastructure.
I developed a theoretical framework I’m calling the Recursive Cognitive Architecture (RCA).
The three core ideas are entropy-based routing (nodes escalate under uncertainty rather than hallucinate), self-supervised physics (physical prediction error as loss function), and Proof of Reality (a decentralized economic protocol incentivizing distributed sensorimotor experience collection).
Recursive Cognitive Architecture: a theoretical framework for physically grounded AGI
I’m a telecommunications engineer with 20+ years of experience building distributed network systems and AI-based anomaly detection for large-scale telecom infrastructure.
I developed a theoretical framework I’m calling the Recursive Cognitive Architecture (RCA).
The three core ideas are entropy-based routing (nodes escalate under uncertainty rather than hallucinate), self-supervised physics (physical prediction error as loss function), and Proof of Reality (a decentralized economic protocol incentivizing distributed sensorimotor experience collection).
I’ve published it as a preprint on Zenodo.
DOI: https://doi.org/10.5281/zenodo.18890866
I expect pushback and I welcome it.