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Introducing HN_Mnemosyne: Overcoming a 10^38 Joule Thermodynamic Barrier for Next-Gen Post-Quantum Edge AI

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Unlock the Future of AI: Explore Mnemosyne

Discover Mnemosyne, a groundbreaking framework designed for computational pluralism rooted in physical laws. This innovative approach establishes a robust 10^38 Joule security floor, emphasizing economic value through socially beneficial AI compute.

Key Highlights:

  • Security and Infrastructure:

    • Establishes a 10^38 Joule physical floor using Landauer’s Principle.
    • Targets 2GB RAM edge devices with BFT-MESI cache coherence.
  • Verification and Economics:

    • Formally specified in TLA+ with preliminary TLC verification for configurations (n=4, f=1).
    • Introduces Proof of Useful Work (PoUW), aligning societal needs with technological progress.

Call for Collaboration:

  • Currently seeking PhD positions in Security and Distributed Systems.
  • Offering consulting in RAG architecture to drive meaningful innovation.

Join the conversation and share your insights! Let’s shape the future of AI together. Explore the full manuscript here.

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