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We filed 99 patents for deterministic AI governance(Prior Art vs. RLHF)

We filed 99 patents for deterministic AI governance(Prior Art vs. RLHF)

by genesalvatore·Mar 2, 2026·2 points·0 comments

AI Analysis

Pass

Patent portfolio for deterministic AI, but no code, demo, or working system shown.

Strengths
  • Correctly identifies real RLHF limitation—training creates disposition, not guarantee
  • Deterministic execution + cryptographic verification is theoretically sound architectural concept
  • Targeting high-stakes domains (healthcare, defense, finance) where this actually matters
Weaknesses
  • Pure narrative—no codebase, no working prototype, no technical details beyond architecture sketch
  • '99 patents' is marketing theater; provisional patents cost ~$300 each and prove filing, not validity or novelty
  • Claims about Merkle-tree GitTruth are vague; no evidence of actual governance enforcement or real-world deployment
Category
Target Audience

Enterprise AI governance, defense/healthcare/infrastructure sectors; AI safety researchers

Post Description

For the last few months, we've been working on a fundamental architectural shift in how autonomous agents are governed. The current industry standard relies almost entirely on probabilistic alignment (RLHF, system prompts, constitutional training). It works until it's jailbroken or the context window overflows. A statistical disposition is not a security boundary.

We've built an alternative: Deterministic Policy Gates. In our architecture, the LLM is completely stripped of execution power. It can only generate an "intent payload." That payload is passed to a process-isolated, deterministic execution environment where it is evaluated against a cryptographically hashed constraint matrix (the constitution). If it violates the matrix, it is blocked. Every decision is then logged to a Merkle-tree substrate (GitTruth) for an immutable audit trail.

We filed 99 provisional patents on this architecture starting January 10, 2026. Crucially, we embedded strict humanitarian use restrictions directly into the patent claims themselves (The Peace Machine Mandate) so the IP cannot legally be used for autonomous weapons, mass surveillance, or exploitation.

I wrote a full breakdown of the architecture, why probabilistic safety is a dead end, and the timeline of how we filed this before the industry published their frameworks: Read the full manifesto here: https://salvatoresystems.medium.com/the-death-of-probabilist...

The full patent registry is public here: https://aos-patents.com

I'm the founder and solo inventor. Happy to answer any questions about the deterministic architecture, the Merkle-tree state persistence, or the IP strategy of embedding ethics directly into patent claims.

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