Topics

Why do LLMs sound smart but often get it wrong? A decades-old knowledge system offers a blueprint for truly dependable AI.

Generative AI’s rapid integration is eroding truth, trust, and learning, Hruy argues. He suggests the real question now isn’t what these systems can do—but what they’re quietly unmaking.

Unlock neuro-symbolic AI's next leap: HMH packs hierarchical structures—roles, fillers, ontologies—into fixed-size hypervectors for ultra-efficient binding, unbinding, and probabilistic reasoning in PRIMUS architectures. Fast, clean, scalable logic meets neural speed.

Correlational Elegant Normal Form integrates learned variable correlations into symbolic normalization, restoring efficient SAT search and evolutionary modeling while preserving canonical structure in highly structured domains.