For years, AI progress has been measured by output quality. If a model sounds intelligent, we assume the system behind it is intelligent. LLMs exposed the flaw in that assumption: Fluency is not continuity.
Output is not identity. A conversation is not a self. Most AI systems today are stateless inference engines. They die and respawn with every prompt.
No persistence. No internal history. No evol