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Show HN_Mnemosyne: A 10^38 Joule Thermodynamic Barrier for Post-Quantum Edge AI

by ElyricFandross·Mar 28, 2026·1 point·0 comments
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AI Analysis

○PassBold Bet

Claims 10^38 Joules barrier — that's more energy than exists in the observable universe.

Strengths
  • •TLA+ formal specification shows rigorous approach to verification
  • •BFT-MESI cache coherence targeting 2GB RAM edge devices is specific
Weaknesses
  • •Physics claims are impossible — 10^38 Joules exceeds universal energy bounds
  • •No working product, just a 175-page manuscript seeking PhD positions
Category
Security
Target Audience

Distributed systems researchers, PhD candidates

Post Description

Mnemosyne: A blueprint for computational pluralism via physical laws.

-Security: Establishes a 10^38 Joule physical floor (kappa >= 804 bits) derived from Landauer’s Principle and the Margolus-Levitin limit.

Infrastructure: Targets 2GB RAM edge devices using BFT-MESI cache coherence.

-Verification: Formally specified in TLA+; preliminary TLC verification completed for minimal configurations (n=4, f=1).

-Economics: Proof of Useful Work (PoUW) for socially beneficial AI compute.

-Current Openings:

Seeking PhD positions (Security/Distributed Systems).

Providing RAG architecture consulting.

-Full Manuscript (175 pages, 14 original theorems): https://www.researchgate.net/profile/Bo-Jun-Han

-LinkedIn: www.linkedin.com/in/hbjun

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