Open Autonomous intelligence initiative

Open Autonomous Intelligence Initiative

Advocates for Open, ethical AI Models

  • ST2 — Collective Embeddedness of Named Regions

    Shared meaning within a group world (Wᴳ) emerges from the collective embedding of named regions—designated basins, peaks, plateaus, ridges, and passes—that serve as common semantic anchors. These landmarks function as reference points that coordinate interpretation, stabilize group identity, and enable coherent group consciousness.

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  • ST1 — World-Specific Topographic Semantics

    The semantic meaning of topographic structures—basins, peaks, valleys, plateaus, ridges, and passes—is determined by the structure of a specific world (Wᵢ), including its developmental stage, experiential history, cultural context, theoretical commitments, and identity level (ℓ). While geometric form is universal across worlds, the interpretation of terrain is world-relative.

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  • Introducing Semantic Topography

    As the Unity–Polarity Axioms (UPA) framework expands into Series II–V, a new layer of structure becomes necessary: topographic semantics—the formal study of how basins, peaks, plateaus, ridges, and attractors differ across worlds, groups, developmental levels, and SGI architectures. This post introduces the Semantic Topographic Axioms (ST-Series) and the three major posts that will elaborate them:…

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  • Introducing Series II–V of the UPA Geometry Framework

    With Series I (Parts 1–16) complete, the Unity–Polarity Axioms (UPA) and their geometric realization now form a foundational architecture for intelligence—human, social, and artificial. We are now ready to expand into four major application series: Ethics, Psychology, SGI Architecture, and Collective Intelligence. This introduction outlines the scope of Series II–V, identifies the previously developed posts…

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  • Geometric Realizations of UPA (Part 16)

    Parts 1–15 developed the geometric foundations of UPA: polarity, unity, multi-axis meaning, hierarchy, novelty, motion, multi-agent coordination, human–SGI interaction, and applications. Part 16 looks forward. It asks: What trajectory does UPA Geometry define for human intelligence, SGI architecture, group consciousness, institutions, and a planetary-scale framework of meaning?

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  • Geometric Realizations of UPA (Part 15)

    With Parts 1–14, UPA geometry has matured into a complete representational, dynamical, and multi-agent framework. Part 15 synthesizes these principles and applies them across human domains and SGI design. The goal is not abstraction, but translation: how UPA’s geometric architecture directly supports healthier minds, better institutions, more transparent SGI, and a unified understanding of human–AI…

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