Open Autonomous intelligence initiative
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How to review the OAII Base Model
Key Concepts
OAII Base Model
Introducing the Personal Event Recognition model
Open Autonomous Intelligence Initiative
Advocate for Open AI Models
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Geometric Realizations of UPA (Part 5)
In Parts 1–4, we introduced spheres (S²), hyperspheres (Sⁿ), multi‑axis polarity, and learning on curved manifolds. In Part 5, we turn to the most important question for SGI: how do we guarantee safety?
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Geometric Realizations of UPA (Part 4)
In Part 3, we expanded from a single polarity (S²) to many interacting polarities on hyperspheres (Sⁿ). In Part 4, we turn to the operational question: how does learning actually work on these curved manifolds?
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Geometric Realizations of UPA (Part 3)
In Part 1, we motivated geometric realization. In Part 2, we developed the geometric atom: a single polarity encoded on the sphere S². In this post, we expand from one polarity to many—moving from S² to the hypersphere Sⁿ. This is where UPA becomes a genuinely multi‑dimensional, multi‑polar, and fully integrative geometric framework.
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Geometric Realizations of UPA (Part 2)
In Part 1 we introduced why spheres and hyperspheres (S², Sⁿ) are the natural geometric setting for the Unity–Polarity Axioms (UPA). In this post we focus on the core structure: a single sphere and a single polarity. This is the geometric heart of UPA.
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Geometric Realizations of UPA (Part 1)
This post introduces the idea and explains why spheres are the natural geometric home for UPA. Later posts in this series will progressively unpack the formal structures.
Open Autonomous Intelligence Initiative 