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

https://www.researchgate.net/profile/Bo-Jun-Han
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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