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  "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
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      "text": "MuonClip with QK-clip, a stability innovation, enabled 15.5T tokens of pretraining without loss spikes.\nA multi-stage post-training pipeline integrates synthetic agentic trajectories with RL to refine model behavior.\nRewards are designed for verifiable correctness and self-critique using binary or graded automatic signal to strengthen reasoning, coding, and safety.\nTogether, these advances establish K2 as a new benchmark in open-weight, agent-ready LLMs, pushing non-thinking workflows further into real-world usability.",
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      "text": "China's Moonshot AI built a 1T-param MoE with 32B active trained using MuonClip, an improved optimizer that integrates the token-efficient Muon algorithm with a stability-enhancing mechanism, to deliver greater stability and advancing open-weight models for agentic workflows. It ranks as the #1 open text model on LMArena.",
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