In this episode of TverSe, we dive into a surprising shift in AI reasoning: how a simple query-relaxation rule can match and sometimes outperform, advanced neural models. Discover why this tiny counting trick reveals hidden patterns inside knowledge graphs, what current neural systems overlook, and how this finding reshapes the future of AI logic and intelligent reasoning.

A must-listen for anyone curious about neural models, symbolic AI, and the evolving science behind machine understanding.