被Jim Fan点赞！全球第一的千寻智能Spirit v1.5正式开源！

Core Insights - The article discusses the significant advancements in embodied intelligence, particularly highlighting the emergence of the Spirit v1.5 model from Qianxun Intelligent, which has surpassed previous models like Pi0.5 in performance [3][4][15]. Group 1: Key Developments in Embodied Intelligence - 2025 marked a breakthrough year for embodied intelligence, with hardware advancements and the development of foundational models defining the intelligence ceiling of this technology [3]. - The Spirit v1.5 model was open-sourced on January 12, 2026, and achieved the top position in the RoboChallenge's Table30 ranking, outperforming Pi0.5 [4][8][15]. - The open-sourcing of Spirit v1.5 includes model weights, inference code, and usage examples, allowing for public verification and community innovation [6][33]. Group 2: Performance Metrics and Evaluation - Spirit v1.5 scored 66.09 on the RoboChallenge leaderboard, while Pi0.5 scored 61.84, indicating a significant performance improvement [11][14]. - The RoboChallenge platform focuses on real-world physical testing, with a task set designed to challenge various dimensions of model capabilities, including precise 3D positioning and multi-stage tasks [15]. Group 3: Data Utilization and Training Paradigms - Spirit v1.5's success is attributed to a fundamental restructuring of the robot pre-training data paradigm, moving away from "clean data" to a more diverse and open-ended data collection strategy [18][20]. - The model's training involved continuous skill flows and internalized error correction capabilities, allowing it to adapt dynamically to unexpected challenges [21][22]. Group 4: Implications for the Industry - The open-source nature of Spirit v1.5 represents a significant shift in the industry, providing a competitive alternative to closed-source models and enabling broader access to high-performance robotics technology [35][39]. - The model's development and open-source release are seen as a pivotal moment for Chinese teams in the global AI landscape, transitioning from followers to leaders in defining core technological paths [41][42].