Notes on cognitive architectures

Pure neural systems are remarkable at pattern recognition, terrible at verifiable logic. Pure symbolic systems are the inverse. The interesting work, increasingly, is the bridge.

Hybrid systems

We're exploring architectures that combine LLMs for unstructured input and symbolic engines for verifiable reasoning. Not because either alone is enough, but because production systems need both — pattern recognition and provable correctness.