CRAM-Net: The Network that Thinks by Rewiring

CRAM-Net introduces a revolutionary neural architecture that physically rewires itself during conversations, treating dialogue as a catalyst for real-time synaptic changes rather than storing chat history externally like traditional AI models. The system uses dual memory tracks—rapid plasticity for immediate context and structural plasticity for permanent reasoning—while forcing all information through a compression bottleneck that naturally triggers logical thinking.