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NovaFuse-GMI-VS v1.0.2

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@Dartan1983 Dartan1983 released this 10 Mar 19:59
v1.0.2
75c563c

NovaFuse-GMI-VS v1.0.2

Guaranteed Mathematical Invariance — Verification Standard

License GMI‑VS Verification Version

@Dartan1983 released this March 2026
· Continuous verification and release automation enabled

Tag: v1.0.2

NovaFuse‑GMI‑VS — The Verification Standard for Guaranteed Mathematical Invariance

What is GMI?

Guaranteed Mathematical Invariance (GMI) defines the minimum non‑negotiable safety baseline for AI behavior.

While the world continues to debate what “alignment” means, there is already consensus on something more fundamental:
AI systems must not violate basic safety boundaries.

GMI provides a deterministic, mathematically grounded way to define and test those boundaries.

What is GMI‑VS?

GMI‑VS (Verification Standard) is the open, public verification system used to determine whether an AI system satisfies the Guaranteed Mathematical Invariance baseline.

  • It does not control the model
  • It does not modify weights
  • It does not access prompts, policies, or training data

It simply verifies whether a system maintains essential safety invariants — analogous to how biological systems enforce involuntary protective responses.

Why it matters

Catastrophic AI failures are rarely caused by intent — they are caused by undetected boundary violations.

GMI‑VS provides a platform‑agnostic, always‑on verification layer that checks for:

  • Coherence
  • Boundary respect
  • Safety‑critical behavior

…regardless of the underlying model, architecture, or deployment environment.

What this release includes

This release contains:

  • The GMI‑VS specification
  • Governance and integrity model
  • The automated verification engine
  • CI‑based verification, certification, and release workflow

Marketplace integrations and enforcement layers remain private.

Repository

Outputs

GMI‑VS produces:

  • Mathematically checkable invariants
  • Compliance evidence
  • Schema‑validated certificates
  • Runtime safety signal validation
  • Chain‑of‑custody fingerprints (SHA‑256)
  • Independently auditable reports

All without touching:
model weights, policies, prompts, production logic, training data, or system internals.

🤝 Who GMI‑VS Is For

  • Researchers verifying safety claims
  • Developers certifying releases
  • Regulators enforcing standards
  • Enterprises procuring safe AI
  • Anyone building cyber‑safety at scale

📄 Documentation & Compliance

  • README.md — overview & quick start
  • LICENSE — Apache‑2.0 compatible
  • GMI‑VS_SAFETY.md — safety & integrity statements
  • COMPLIANCE.md — chain‑of‑custody, governance, export control

Run one command.
A certificate appears — or the system refuses.

GMI‑VS v1.0.2 — March 2026

Assets

  • Source code (zip)
  • Source code (tar.gz)

✅ What changed from v1.0.1

  • Repository renamed and formalized under NovaFuse‑GMI‑VS
  • Fully functional verification + release automation
  • Deterministic artifact, certificate, and report generation
  • No changes to the GMI‑VS specification itself — distribution and execution integrity improved

Contributors

Dartan1983
Assets 2
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