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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. Channel Fracture: Three Instances of Cross-Boundary Silent Delivery Reliability Failures in Multi-Agent Systems

    Researchers have identified a critical failure mode in multi-agent systems called "channel fracture," where information is silently lost when crossing agent boundaries. This issue was observed in three distinct scenarios within a production Hermes Agent deployment, affecting message delivery and reliability. To address this, a new verification protocol named CADVP v1.1 was proposed, which demonstrated a significant reduction in failure rates from up to 98% to 0% in trials, improving real-world quality to 1.00. AI

    IMPACT Addresses critical reliability issues in multi-agent systems, potentially improving the robustness of AI agents in complex deployments.