Name: [PDG 465] Kimi K2: Open Agentic Intelligence
Start: 2025-12-02T20:00:00+01:00
End: 2025-12-02T22:00:00+01:00

**Link to article**: https://arxiv.org/pdf/2507.20534
**Title:** Kimi K2: Open Agentic Intelligence
**Track:** RL
**Content**: Kimi K2 is a 1T-parameter Mixture-of-Experts LLM that uses the new MuonClip optimizer—an improvement over Muon that adds QK-clip—to enable stable, spike-free pretraining on 15.5T tokens with high token efficiency. After pretraining, the model undergoes multi-stage post-training, including a large agentic data-synthesis pipeline and a joint reinforcement learning (RL) stage where it learns from interactions with real and synthetic environments. K2 achieves state-of-the-art results among open-source non-thinking models, especially in coding, math, software engineering, and agentic tasks, and its base and post-trained checkpoints are publicly released.
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[PDG 465] Kimi K2: Open Agentic Intelligence

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