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  "text": "Small models just beat giant LLM agents at their own job. \n\nNot by thinking harder, but by coordinating better.\n\nA new system just outscored GPT-5 on Humanity’s Last Exam, using far less compute.\n\n𝗧𝗵𝗶𝘀 𝘀𝘆𝘀𝘁𝗲𝗺 𝗿𝗲𝗽𝗹𝗮𝗰𝗲𝘀 𝗼𝗻𝗲 𝗯𝗶𝗴 𝗯𝗿𝗮𝗶𝗻 𝘄𝗶𝘁𝗵 𝗮 𝗰𝗼𝗻𝗱𝘂𝗰𝘁𝗼𝗿\nInstead of one model doing everything, it assigns roles.\n• Large models handle hard reasoning.\n• Small models handle routine steps.\n• A controller decides what to call, when.\n\nThat controller is trained only to make decisions.\n\n𝗜𝘁 𝗹𝗲𝗮𝗿𝗻𝘀 𝗰𝗼𝗼𝗿𝗱𝗶𝗻𝗮𝘁𝗶𝗼𝗻, 𝗻𝗼𝘁 𝗽𝗿𝗼𝗺𝗽𝘁 𝘁𝗿𝗶𝗰𝗸𝘀\nIt uses reinforcement learning, not hand rules.\n\nRewards optimize three things at once:\n- Task success\n- Latency\n- Compute cost\n\n𝗧𝗵𝗲 𝗿𝗲𝘀𝘂𝗹𝘁𝘀 \nIt scores 37.1% on HLE versus 35.1%.\nRuns about 2.5× faster.\nUses roughly 70% less cost.\n\nThis lets you build agents that scale by coordination, not parameters.",
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