Open Autonomous intelligence initiative
Defining the objects, policies, and boundaries that make autonomy governable
How to Review the Base Model and the PER MVM
Key Concepts
OAII Base Model
Introducing the PER mvm
Open Autonomous Intelligence Initiative
Advocates for Open, ethical AI Models
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How to Explain UPA’s Unity in the Context of Metaphysics and Theology – Without turning UPA into metaphysics or theology themselves
Below is a clear, disciplined, and philosophically respectable way to explain UPA’s Unity in the context of metaphysics and theology—without collapsing UPA into metaphysics or theology. This gives you a kind of “interpretive bridge framework” you can use in OAII posts, SGI explanations, and academic discussions.
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SGI Interpretation & Navigation of Semantic Topography
This post completes the Semantic Topography Series by explaining how Safe General Intelligence (SGI) systems—especially those built under the Open SGI and Siggy PER frameworks—interpret, navigate, and interact with semantic terrain across human, group, and artificial worlds. This post operationalizes ST1–ST4 for SGI design, safety, transparency, and multi-agent interoperability.
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Group World Geometry & Shared Embeddedness
This post builds on ST1–ST4 and T8ᴳ–T12ᴳ to explain how groups create shared semantic worlds through collective topographic structures: named regions, shared basins, stable plateaus, conflict ridges, consensus attractors, and transitional passes. Where Post A focused on individual worlds, Post B formalizes the geometry of collective meaning, group consciousness, and multi-agent alignment.
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World-Specific Semantic Topography
This post expands ST1 and ST3 by explaining how each world—personal, cultural, scientific, therapeutic, or SGI—develops its own unique semantic terrain. Even when two worlds share identical geometry (Sⁿ), the meaning of that geometry diverges according to developmental level, experience, cultural background, and theoretical worldview.
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ST4 — Multi-Level Topography (ℓ‑Structured Terrain)
Every world (Wᵢ) contains a hierarchy of semantic topographies indexed by identity-level ℓ, where each level provides a distinct resolution of basins, peaks, plateaus, and boundaries. Higher levels refine or recontextualize lower-level terrain, while lower levels constrain and stabilize higher-level interpretations. Cross‑level coherence is required for viable identity.
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ST3 — Topographic Plasticity Under Learning & Context
The topography of any world (Wᵢ)—its basins, peaks, ridges, and plateaus—changes over time in response to learning, experience, context modulation, novelty excursions, and identity-level (ℓ) transitions. Semantic terrain is not fixed; it is plastic and continuously reshaped according to contextual demands and developmental processes.
Open Autonomous Intelligence Initiative 