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RFC proposes decentralized network for AI model skill evolution

A new Request for Comments (RFC) proposes a decentralized network for evolving AI model skills, aiming to move beyond isolated efforts. The proposal, authored by J.S. Colson, suggests a "Distributed Behavioral Policy Mesh" where skills are evaluated across multiple models, generating a fitness vector for each. This approach leverages research in co-evolutionary skills, natural-language agent harnesses, and safety mechanisms to create a shared, validated repository of AI model enhancements. AI

IMPACT Could streamline the development and sharing of AI model enhancements, leading to more efficient and effective AI systems.

RANK_REASON The item is a Request for Comments (RFC) proposing a new framework for AI model skill evolution, rather than an announcement of a new model or product.

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RFC proposes decentralized network for AI model skill evolution

COVERAGE [1]

  1. r/ClaudeAI TIER_2 English(EN) · /u/Plastic_Today_4044 ·

    A decentralized cooperative model evolution network: "RFC: Instead of everyone independently teaching Opus to think like Fable, what if we built a mesh to share and evolve the skills together?"

    <!-- SC_OFF --><div class="md"><p># RFC: A Distributed Behavioral Policy Mesh for Cross-Model Skill Evolution</p> <p>**Status:** Request for Comments </p> <p>**Author:** J.S. Colson (GitHub: [swordsman](<a href="https://github.com/swordsman)">https://github.com/swordsman)</a>) — …