Core Viewpoint - The future of AI will lead every company to become an AI company, blurring the lines between AI and non-AI companies, as AI will transform all aspects of product development and problem-solving [2][10]. Group 1: Company Background and Development - Shen Zhenyu, the founder of Tensor.Art, has a background in AI and has witnessed the evolution of AI algorithms from classic machine learning to modern deep learning techniques [3]. - The company, originally known as QianDao, has transitioned into the AI space with Tensor.Art, which serves as a community and infrastructure for AI model sharing and training [11]. Group 2: Tensor.Art's Positioning and Strategy - Tensor.Art is positioned as a leading platform for AIGC model hosting and sharing, with over 2 million users and more than 500,000 models, generating over 2 million images daily [9]. - The platform aims to create a dual moat through model scale and creator scale, emphasizing that a larger number of models and creators will enhance commercial efficiency [19][20]. Group 3: AI Technology and Market Trends - AI technology is expected to become as fundamental as electricity, necessitating a shift towards numerous fine-tuned models to address specific scenarios rather than relying solely on large models [2][12]. - The company believes that open-source models will dominate the future, as they allow for greater participation from global talent and provide more flexibility for businesses compared to closed-source models [12][16]. Group 4: Competitive Advantages - Tensor.Art's competitive edge lies in its strong hosting capabilities, offering superior inference performance and cost-effectiveness compared to competitors like Civitai [17]. - The platform is designed to support creators in monetizing their models, with revenue-sharing mechanisms similar to those used by popular content platforms [18]. Group 5: Future Directions and Innovations - The company is exploring the integration of video and 3D models into its offerings, recognizing the growing demand for video content generation and the potential for significant market expansion [22][23]. - Tensor.Art is committed to remaining a facilitator of open-source models rather than developing proprietary models, focusing on supporting the broader open-source ecosystem [16].