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  "text": "Can AI agents agree?\n\nCommunication is one of the biggest challenges in multi-agent systems.\n\nNew research tests LLM-based agents on Byzantine consensus games, scenarios where agents must agree on a value even when some participants behave adversarially.\n\nThe main finding: valid agreement is unreliable even in fully benign settings, and degrades further as group size grows. Most failures come from convergence stalls and timeouts, not subtle value corruption.\n\nWhy does it matter?\n\nMulti-agent systems are being deployed in high-stakes coordination tasks. This paper is an early signal that reliable consensus is not an emergent property you can assume. It needs to be designed explicitly.\n\nPaper: https://t.co/3fllhchiKX\n\nLearn to build effective AI agents in our academy: https://t.co/1e8RZKs4uX",
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