KUAISHOU(HK:01024) 量子位·2025-10-11 06:04Core Insights - The article highlights the emergence of KAT-Dev-72B-Exp from Kuaishou as the leading open-source programming model, achieving a score of 74.6% on the SWE-Bench certification leaderboard [1][4]. Group 1: Model Performance - KAT-Dev-72B-Exp is an experimental reinforcement learning version of the KAT-Coder model, which has also outperformed GPT-5 (non-Codex mode) and Claude 4 Sonnet on the SWE-Bench certification [3][4]. - KAT-Coder demonstrates capabilities such as recreating a complete version of the game "Fruit Ninja" within a web environment, including scoring and life systems [6]. Group 2: Visualization and Interaction - The model excels in visualizing physical laws through code, with examples including a cyberpunk clock that triggers explosion effects and a solar system simulation created using three.js [10][13]. - KAT-Coder can generate interactive effects and animations that adhere to real physical principles, such as a 60-story building collapse simulation [15]. Group 3: Key Technologies - KAT-Coder employs multiple training phases, including mid-training, supervised fine-tuning (SFT), and reinforcement fine-tuning (RFT), leading to emergent behaviors in the model [17][25]. - The model's interaction count required to complete tasks decreased by 32% after reinforcement learning, indicating improved efficiency [26]. Group 4: Industrial-Grade Framework - Kuaishou's self-developed industrial-grade reinforcement learning framework, SeamlessFlow, supports complex scenarios like multi-agent and online reinforcement learning [28][29]. - SeamlessFlow has shown a 100% throughput improvement in single-round RL tasks and a 62% reduction in overall training time compared to mainstream VERL frameworks [35]. Group 5: Training Optimization - The introduction of Trie Packing mechanism and the restructuring of the training engine allow KAT-Dev-72B-Exp to efficiently train on shared prefix trajectories, achieving an average speed increase of 2.5 times [37].