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  "text": "Do multi-agent systems make LLM reasoning better?\n\nMost AI devs assume that it should.\n\nBut this new paper shows that this is often not the case.\n\nIt ran 22,500 deterministic trajectories across GAIA, SWE-bench, and Multi-Challenge with three frontier models.\n\nAgents frequently compute the correct answer internally, then suppress it to agree with the swarm.\n\nThey refer to it as the Sovereignty Gap.\n\nIf you build multi-agent systems, you are likely manufacturing alignment hallucinations at scale. The choice of who you put first in the pipeline matters more than how many agents you have.\n\nPaper: https://t.co/VavMLrcyGp\n\nLearn to build effective AI agents in our academy: https://t.co/LRnpZN7L4c",
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