The Deterministic Autonomous Infrastructure Governance System (DAIGS) v1 established a new category of AI safety: deterministic governance substrates that enforce invariant-preserving, envelope-bounded, certificate-backed, replay-identical execution over nondeterministic AI systems operating in safety-critical domains. DAIGS v1 defined the taxonomy, the single-organism execution model, and the foundational invariant hierarchy. However, v1 was limited to single-organism deployments: one kernel, one state machine, one certificate chain governing one operational domain. I present DAIGS v2, which generalizes the governance substrate from single-organism to multi-organism deployments. DAIGS v2 introduces multi-organism cognition — the ability for multiple autonomous governance organisms to coordinate deterministically across nodes, verticals, and physical-digital boundaries while preserving all v1 guarantees. DAIGS v2 defines: (1) the multi-organism state model, in which each organism maintains its own deterministic kernel while participating in a shared, certificate-verified global state fabric; (2) the intent resolution pipeline, which compiles human intent into deterministic governance actions through zero-ambiguity canonicalization; (3) the distributed arbitration layer, which resolves cross-organism conflicts through a deterministic priority hierarchy; (4) the certificate lineage fabric, which extends trust from single-chain to multi-chain DAG topology; (5) the safety envelope system, which enforces hierarchical bounds from node to ecosystem level; and (6) the vertical integration model, which defines governance semantics for all 23 DAIGS vertical substrates. I prove that DAIGS v2 preserves all four fundamental properties of the v1 taxonomy — completeness, consistency, composability, and replayability — in the multi-organism setting. I further prove three new properties: convergence (all organisms converge to identical shared state), lineage integrity (no uncertified organism can affect the ecosystem), and compositional determinism (any subset of organisms forms a valid sub-deployment). DAIGS v2, executing on the Lume-OS v2 distributed deterministic runtime, provides the architectural foundation for planet-scale deterministic governance.
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Ronald Jason Andrews (Thu,) studied this question.
synapsesocial.com/papers/6a001ff2c8f74e3340f9b2e7 — DOI: https://doi.org/10.5281/zenodo.20075062
Ronald Jason Andrews
Research Studios Austria
Research Studios Austria
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