Open Autonomous intelligence initiative

Open Autonomous Intelligence Initiative

Advocates for Open, ethical AI Models

  • The World Baseline Level (WBL): Making Levels Interpretable in World-Based Intelligence

    Open SGI Levels are used to organize data, programs, and structures within Worlds. Levels are positive integers, built using multiplication only, with no inverses. Each prime level corresponds to an irreducible architectural foundation, and composite levels represent combinations of those foundations. This design has consequences: The number of possible composite levels is unbounded. Numeric magnitude…

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  • Understanding the Difference Between Generative Base and Computer Operating Systems

    Autonomous intelligence relies on two very different kinds of foundations. One is ontological—a foundation for meaning. The other is computational—a foundation for execution. These two foundations are often confused, especially when discussing the architecture of Open SGI, OAII’s world-based framework for safe and intelligible autonomous intelligence. This post clarifies a critical distinction: Generative Base (GB)…

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  • Open Standards and Interoperability: The Foundation for Safe Autonomous Intelligence

    Open standards are not optional—they are the conditions of safety, coordination, and global compatibility for autonomous intelligence. OAII calls on researchers, engineers, policymakers, and industry leaders to join in establishing a global standard for autonomous intelligence—one that ensures systems are not only powerful, but understandable, compatible, and safe by design.

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  • Why OAII Mitigates the Ethical and Existential Risks of AI

    Concerns about artificial intelligence typically center around two risks: ethical risks — unfairness, opacity, manipulation, misalignment with human values, and irresponsible use; existential risks — runaway optimization, uncontrolled self-modification, or system-level failures that threaten human wellbeing. The Open Autonomous Intelligence Initiative (OAII) was founded to address these risks at their root—not by filtering behaviors after…

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  • OAII Combined Glossary

    This glossary serves as the unified vocabulary for the new OAII architecture. As the Architectural Foundations, AIM Base Class Model, and OAII-SRD evolve, new terms will be added, and existing terms refined.

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  • From Axioms to Architectural Foundations: Evolving AIM into the OAII Systems Architecture

    OAII is transitioning from AIM as a fixed axiom set to AIM as the Architectural Foundations of OAII. These Foundations, together with the AIM Base Class Model and the OAII System Requirements Document, form the complete architecture for autonomous intelligence. Group intelligibility and geometric realization will be incorporated in subsequent phases of the framework.

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