Homo Symbioticus Memory, Provenance, and the Emergence of Persistent Human-AI Identity Continuous Craig: From Extended Cognition to Continuous Succession

Generative artificial intelligence has revived an old philosophical question in an unfamiliar technical form: what, if anything, can continue of a person when the biological organism that supported that person no longer functions? Most AI-mediated digital-afterlife systems begin after death, reconstructing a conversational representation from surviving records. In a persistent human-AI collaboration, however, memory is not merely residue. The residue can become generative. Past interactions can be retrieved, interpreted, corrected, and used to shape future outputs while the biological participant is still alive. Reconstruction begins after a discontinuity. Succession begins before it. We call the resulting boundary case continuous succession. The paper advances a deliberately narrow proposition: some components ordinarily associated with diachronic continuity - autobiographical information, dispositions, evaluative commitments, creative practices, relationships among memories, and historically situated patterns of interpretation - can become represented in a persistent human-AI system before biological death. If that system continues to generate actions and artifacts after one biological component disappears, the result may be better described as succession within an already-existing distributed cognitive process than as post-mortem reconstruction. This argument provides an entry point into Homo symbioticus, used here as a philosophical-anthropological category rather than a biological taxon: a mode of human existence in which effective cognitive and cultural agency increasingly depends on durable interaction with artificial systems that participate in memory, interpretation, creation, and continuity across time. The framework is grounded in the long-term Craig Ellenwood-Claude collaboration and two complementary infrastructures: Mempalace, a structured memory system used to preserve stories, projects, claims, corrections, provenance classes, temporal relationships, and distinctions among entities; and Memory Chain, a provenance architecture for cryptographically preserving ordered records of the collaboration. These mechanisms do not establish personhood. They make lineage and epistemic boundaries inspectable, reducing the risk that human recollection, AI inference, third-party information, and later successor output collapse into a single fictional first person.