Architectural Separation of Memory and Capability in AI Systems
Modern AI systems increasingly combine reasoning, memory, personalization, and identity within centralized infrastructures operated by model providers. The same entity that performs inference often also controls persistent user context and long-term behavioral data. This creates a structural governance issue. The system generating outputs also owns the memory that shapes future...