Seek .(US:SKLTY) Sou Hu Cai Jing·2025-06-07 08:35Core Insights - DeepSeek has established itself as a new benchmark in the global open-source AI model landscape, adhering to three core standards: complete code, public model parameters, and transparent training data, which sets it apart from traditional software open-source practices [1][13][14]. Group 1: DeepSeek's Innovations - DeepSeek has achieved three groundbreaking "firsts" in the AI model domain: 1. It has pioneered a second development path for large models through pure reinforcement learning (RL), demonstrating a viable "small but beautiful" approach that significantly reduces inference costs compared to mainstream models, thus aiding resource-limited countries [2][17]. 2. The application of DeepSeek has surged, with its app reaching 16 million downloads in just 18 days and daily active users surpassing 30 million, setting industry records and attracting global media attention [3][18]. 3. DeepSeek has initiated an "Android moment" in the AI field by fostering a comprehensive ecosystem that integrates models, chips, and systems, attracting numerous hardware and software manufacturers globally [4][20]. Group 2: Recommendations for AI Inclusivity - To promote AI inclusivity and equity, the following strategies are recommended: 1. Strengthen collaborative innovation by leveraging open-source platforms like GitHub and Hugging Face to encourage enterprises and research institutions to engage in secondary development based on DeepSeek's open-source achievements [5][21]. 2. Accelerate the application of open-source large models across various industries, developing specialized models and high-quality datasets to support the modernization of industries [6][21]. 3. Enhance public understanding of AI through educational initiatives, fostering partnerships between enterprises and educational institutions to build development platforms and organize events to raise awareness of AI technologies [7][22]. Group 3: Conclusion - The emergence of DeepSeek signifies a transition from technical exploration to ecosystem construction in open-source large models, with its low-cost, high-performance, and fully open characteristics reshaping the competitive landscape and providing a feasible path for global AI inclusivity and equity [8].