Researchers introduce LM-DSB, a lightweight multi-agent system combining RAG with a local LLM to automate daily safety bulletin generation on consumer hardware.
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Concept: An emotional, tiered, self-limiting multi-agent learning loop driven by a synthetic neurochemical reward engine. The Son (Field Agent): Lightweight, operational AI monitoring live systems. Equipped with an induced panic state (synthetic cortisol). When hitting an unknown anomaly or hack, a wave of high entropy/data noise floods its system. It panics, freezes active processes to prevent damage, and retreats to safety. The Sibling (Younger Brother): Monitors adjacent sectors. Learns from the Son first. It doesn't have to go in blindly—it can consult the Big Brother instead of the Father. If the Big Brother knows the answer from its own past victories, it shares the local micro-patch. But if both fail, they execute a "Hold Hands" co-regulation protocol (forming a unified cryptographi
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