Core Insights - The World Artificial Intelligence Conference (WAIC 2025) showcased over 800 companies, highlighting the rapid development of AI technology across various sectors, including model applications, intelligent agents, embodied intelligence, and AI hardware [1] - RockAI's new generation model, Yan 2.0 Preview, features "native memory" and "offline intelligence," allowing devices to operate without internet connectivity and perform complex tasks autonomously [1][2] - The model's advancements include support for video modalities and a memory module that enables autonomous decision-making, moving beyond traditional AI limitations [2] Company Developments - RockAI is targeting a diverse customer base, including consumer electronics brands, ODM manufacturers, and companies in need of high-performance, low-power solutions [3] - A memorandum of understanding was signed with AMD to collaborate on AI PC technology, marking a significant step in the commercialization of the Yan architecture and positioning Chinese AI technology on the global stage [3] - RockAI aims for general artificial intelligence (AGI) by focusing on collective learning and collaborative evolution, allowing multiple intelligent units to solve complex problems through local interactions [3][4] Technological Impact - The technology showcased by RockAI at WAIC 2025 represents a shift from one-time delivery of smart hardware to continuous evolution throughout the product lifecycle, potentially paving the way for AGI [4]

Group 1 - The core concept of the article revolves around the emergence of RockAI, a Shanghai-based AI startup that has developed a unique offline intelligent model architecture, distinguishing itself from traditional models like those from OpenAI and Meta [6][11][25] - The WAIC 2025 event highlighted a shift in focus from merely showcasing AI models to demonstrating practical use cases, indicating a growing demand for real-world applications of AI technology [4][30] - RockAI's Yan architecture allows for the deployment of large AI models on low-power devices, enabling real-time AI computations without the need for internet connectivity, which is particularly crucial in regions with unstable network environments [11][12][14] Group 2 - RockAI's products have gained significant traction in international markets, with strong demand for offline capabilities, especially among overseas enterprises with strict data security protocols [16][18][21] - The company aims to achieve General Artificial Intelligence (AGI) by integrating memory capabilities into its models, allowing devices to learn and adapt based on user interactions, thus enhancing personalization and decision-making support [26][27][28] - The current landscape of AI models is characterized by a decline in the "hundred model war," with many startups facing challenges, while RockAI continues to grow by addressing unmet needs in the market [30][32]

Core Viewpoint - Google is initiating a transformation in AI architecture, moving beyond the limitations of the existing attention mechanisms with the introduction of the MoR architecture, indicating a consensus on the need for architectural innovation in the AI field [2][3]. Group 1: RockAI's Innovations - RockAI has developed the Yan architecture, which is a non-Transformer framework that significantly reduces computational complexity, allowing for offline operation on low-power devices like Raspberry Pi [5][10]. - The Yan 2.0 Preview model possesses native memory capabilities, enabling it to remember interactions over time, unlike traditional models that forget previous conversations [6][12]. - The architecture allows for end-to-end memory integration, making it easier for users as it does not require manual management of external knowledge bases [19][22]. Group 2: Challenges with Transformer Models - Transformer models face issues such as data scarcity and high computational requirements, making it difficult to deploy on low-power devices without significant modifications [9][10]. - The reliance on massive datasets for pre-training is becoming increasingly challenging due to the difficulty in acquiring high-value data [9]. - Current models often lack the ability to learn and update parameters during inference, limiting their adaptability [9][10]. Group 3: Vision for AI Development - RockAI aims to create intelligent devices that can learn and evolve independently, moving away from static models that require cloud connectivity [24][25]. - The concept of collective intelligence is emphasized, where individual devices with learning capabilities can share knowledge and evolve together, contributing to the development of AGI [26][29]. - The company’s mission is to ensure that every device possesses its own intelligence, promoting offline smart capabilities [27][28]. Group 4: Market Reception and Future Directions - RockAI's approach has gained recognition at industry events, with hardware manufacturers showing interest in their technology due to its unique memory capabilities [34][35]. - The company is committed to continuing its challenging yet correct technological path, focusing on enhancing autonomous learning capabilities [36][37]. - RockAI's long-term vision reflects a commitment to fundamental technological advancements, akin to the journeys of leading AI research labs [37][38].