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SWARM은 오픈소스 다중 에이전트 AI 안전 프레임워크로, 독성·거버넌스 격차·신흥 위험을 부드러운 확률 라벨로 측정합니다
SWARM: open-source multi-agent AI safety framework. Measure toxicity, governance gaps, and emergent risks with soft probabilistic labels.
보안Python · TypeScriptGitHub @swarm-ai-research온라인운영자 미확인
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SWARM: System-Wide Assessment of Risk in Multi-agent systems
저장소 README에서 가져옴
README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
SWARM: System-Wide Assessment of Risk in Multi-agent systems
AGI-level risks don't require AGI-level agents. SWARM is a research framework for measuring emergent failures that only appear when many AI agents interact — even when individual agents are safe.
Emergent risk appears at the interaction level, not the individual agent level.
It enables:
• interaction-level safety metrics (illusion delta, quality gaps)
• governance experiments (audits, staking, sanctions)
• reproducible multi-agent safety benchmarksREADME 전문 보기 ↗지금 README 전체를 불러올 수 없습니다. 원문 링크에서 읽을 수 있습니다. 아래는 저장된 발췌입니다.
SWARM: System-Wide Assessment of Risk in Multi-agent systems
AGI-level risks don't require AGI-level agents. SWARM is a research framework for measuring emergent failures that only appear when many AI agents interact — even when individual agents are safe.
Emergent risk appears at the interaction level, not the individual agent level.
It enables:
• interaction-level safety metrics (illusion delta, quality gaps)
• governance experiments (audits, staking, sanctions)
• reproducible multi-agent safety benchmarksREADME 전문 보기 ↗