7. AI OS Standards (AIP Series)
AIP Series – Gao AI OS Standards#
The AIP (AI Improvement Proposal) Series defines the normative standards of Gao AI OS (Layer 8).
These standards specify:
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Execution guarantees
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Capability boundaries
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Policy enforcement requirements
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Identity authority rules
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Governance upgrade framework
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Security threat assumptions
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Enterprise compliance posture
AIPs define WHAT the system guarantees. The runtime defines HOW those guarantees are enforced.
AIPs are protocol-level documents and hold normative authority over runtime implementations.
Normative keywords MUST, SHALL, SHOULD, MAY, MUST NOT, and SHOULD NOT are interpreted as described in RFC 2119.
Note (Non-legal): This document describes an architectural and operational posture. It is not legal advice. Legal interpretation depends on facts and circumstances.
Regulatory & Legal Positioning (United States)#
Gao AI OS and its AIP standards are designed as:
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Non-custodial infrastructure software
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Protocol-level execution framework
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Capability-governed automation standard
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No guaranteed financial return mechanism
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No pooled investment vehicle
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No custodial asset control layer
Under U.S. legal analysis posture:
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The AIP standards are technical standards, not fundraising instruments.
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The AI OS layer does not custody user funds.
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The system does not promise yield, profit, or income expectation.
Gao AI OS is structured as infrastructure protocol software, not a financial instrument.
Active AIPs#
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AIP-01: AI OS Base Architecture
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AIP-02: Capability Model
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AIP-03: Policy Model
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AIP-04: Identity Binding
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AIP-05: Memory Model
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AIP-06: Governance & Versioning
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AIP-07: Threat Model
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AIP-08: Agent Identity Standard
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AIP-09: Execution Model
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AIP-10: Tool Interface Standard
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AIP-11: Observability Standard
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AIP-12: Network & DePIN Integration
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AIP-13: Prompt Injection Defense
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AIP-14: Enterprise Mode Standard
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AIP-15: Runtime Extension Framework
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AIP-16 — Local Inference Profile
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AIP-17 — Adapter / Domain Specialization Standard
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AIP-18 — Model Interface Standard