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  "text": "Google just found the agentic scaling law!\n\nForget \"more agents is all you need.\" After 180 experiments across GPT, Gemini, and Claude, the results are in:\n\n- The 45% Trap: If a single agent has >45% accuracy, adding more agents often hurts performance.\n- Tool Tax: Tool-heavy tasks suffer disproportionately from coordination overhead. \n- Error Spirals: Independent agents amplify errors by 17.2x.\n\nThey derived a formula that predicts the best architecture with 87% accuracy. Agent design just moved from alchemy to science.\n\nTowards a Science of Scaling Agent Systems\n\nPaper: https://t.co/pZly36dOpo",
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