Group 1 - The 2025 East Lake International Artificial Intelligence Summit Forum was held in China, focusing on accelerating the development of new productive forces and responding to the "Artificial Intelligence+" action plan [1] - The launch of the ZDTC 4.0 multimodal reasoning model marks a significant breakthrough in high-level semantic understanding and reasoning capabilities, transitioning from "pure text thinking" to "fine-grained multimodal semantic thinking" [1] - The Wuhan Artificial Intelligence Research Institute aims to leverage the ZDTC multimodal model to create internationally advanced AI application results and technology patents, contributing to regional industrial upgrades [1] Group 2 - The ZDTC Cloud is the first native collaborative multimodal large model cloud in China, providing comprehensive capabilities from computing power support to application implementation [2] - The platform aims to empower core business operations of enterprises by leveraging full-stack AI capabilities, focusing on creating benchmark cases in Hubei's advantageous industries [2] - The initiative is expected to contribute to the intelligent transformation of China's modern industrial system [2]

Core Insights - The launch of the ZDTC 4.0 multimodal reasoning model and the "ZDTC Cloud" platform aims to promote the industrialization of domestic large models, with 28 companies signing agreements to become ecosystem partners [2][5]. Group 1: Model Development - The ZDTC 4.0 model represents a significant milestone in the evolution of multimodal large models, transitioning from passive analysis to active reasoning capabilities [3]. - The model can integrate multimodal information and generate explainable intelligent decisions, showcasing its ability to respond in seconds to user queries, such as providing travel information based on a photo [3][4]. - Compared to the previous version, ZDTC 3.0, the 4.0 version demonstrates enhanced fine-grained multimodal interaction and reasoning abilities, allowing it to mimic human attention mechanisms [3][4]. Group 2: Applications and Impact - The ZDTC model has been applied in over 100 scenarios, including a smart service platform for orthopedic instruments that manages thousands of medical supplies [5]. - The "ZDTC Cloud" platform offers comprehensive support for enterprises, covering computing power services, model training, application development, and embodied intelligence [5]. - The model has been benchmarked against international standards in multimodal understanding and logical reasoning, achieving breakthroughs in tasks such as long video comprehension [4]. Group 3: Future Prospects - The company aims to create more benchmark cases in low-altitude economy, embodied intelligence, manufacturing, and healthcare, with a revenue target of 100 million yuan by 2025 [5]. - The establishment of partnerships with various organizations, including the "AI + Meteorology" innovation studio, indicates a strategic focus on collaborative development in AI technology [7].

Core Insights - The first fully domestically developed deep reasoning model "Zidong Taichu" 4.0 was launched in Wuhan on September 19, showcasing advanced multimodal reasoning capabilities that surpass GPT-5, particularly in complex reasoning and tool usage with visual inputs [1][4]. Model Development - "Zidong Taichu" 4.0 represents a significant evolution from its predecessor 3.0, transitioning from "pure text reasoning" to "fine-grained multimodal semantic reasoning," achieving a threefold leap in capabilities [3][5]. - The model can perform complex reasoning tasks, such as determining the number of shots needed to win a snooker game by analyzing images of the game table [3]. Performance Metrics - In video multimodal applications, "Zidong Taichu" 4.0 can deeply understand 180-minute long videos, achieving state-of-the-art performance across six tasks, including video Q&A and content summarization [4]. - The model's reasoning speed has improved by approximately 15% compared to version 3.0, enhancing its application in industrial settings, such as high-precision laser welding technology [4][6]. Technological Innovations - The model incorporates three core technological innovations: low-cost data synthesis for real events, critical multi-round reflective learning, and difficulty-sensitive adaptive reinforcement learning, which collectively enhance training efficiency and reasoning performance by about 15% [5][6]. Industry Impact - The launch of the "Zidong Taichu Cloud" platform aims to convert the model's technological advantages into industrial value, providing comprehensive support for enterprises in computing power, application development, and implementation [6]. - The platform is positioned as the first native collaborative cloud for multimodal large models in China, facilitating the integration of AI capabilities into core business operations [6]. Economic Context - The current era is characterized as a computing power economy, where computing power, data, and algorithms are key resources driving the digital economy, highlighting the need for rapid iteration and widespread application of AI technologies [6].

Core Insights - The 2025 East Lake International Artificial Intelligence Summit Forum was held in Wuhan, where the Zhidong Taichu 4.0 multimodal reasoning model was officially launched, developed by the Chinese Academy of Sciences and Wuhan Artificial Intelligence Research Institute [1] - Zhidong Taichu 4.0 demonstrates significant breakthroughs in high-level semantic understanding and reasoning capabilities, evolving from "pure text thinking" to "fine-grained multimodal semantic thinking," marking a new stage in general multimodal reasoning [1] - The model can achieve deep understanding of 180-minute long videos and provide precise answers in seconds, topping six datasets in long video reasoning and retrieval capabilities [1] Industry Developments - The "Zhidong Taichu Cloud" platform was launched to convert the technological advantages of Zhidong Taichu 4.0 into actual industrial value, being the first native collaborative cloud for multimodal large models in China [2] - The platform includes four core areas: computing power services, large model training and deployment, application development, and embodied intelligence, aiming to empower enterprises' core businesses [2] - Over the past three years, Wuhan's AI industry has grown by more than 30% annually, with the industry scale expected to exceed 70 billion yuan in 2024 [2] Ecosystem and Partnerships - Wuhan has gathered over 1,000 AI-related companies and more than 60 large models with over 1 billion parameters in use, forming a comprehensive AI industry chain [3] - The city has implemented a series of policies to promote AI industry development, focusing on smart chips, smart terminals, smart connected vehicles, and smart equipment [3] - A total of 28 companies signed agreements to become "Zhidong Taichu" ecosystem partners, covering areas such as computing power chips, embodied intelligence, data intelligence, and industry applications [2]

Core Insights - The 2025 East Lake International Artificial Intelligence Summit Forum was held in Wuhan, where the ZDTC 4.0 multimodal reasoning model was officially launched, developed by the Chinese Academy of Sciences and Wuhan Artificial Intelligence Research Institute [1] - The ZDTC 4.0 model demonstrates significant breakthroughs in high-level semantic understanding and reasoning capabilities, evolving from "pure text thinking" to "fine-grained multimodal semantic thinking" [1] - The model can achieve deep understanding of 180-minute long videos and provide precise answers in seconds, topping six datasets in long video reasoning and retrieval capabilities [1] Industry Developments - The ZDTC Cloud platform was launched as the first native collaborative cloud for multimodal large models in China, offering comprehensive capabilities from computing power support to application implementation [2] - Over the past three years, Wuhan's AI industry has grown by more than 30% annually, with the industry scale expected to exceed 70 billion yuan in 2024 [2] - Wuhan has gathered over 1,000 AI-related companies and more than 60 large models with over 1 billion parameters in use, forming a complete AI industry chain [2] Policy and Innovation - Wuhan has implemented a series of policies to promote AI industry development, focusing on smart chips, smart terminals, smart connected vehicles, and smart equipment [3] - The city is advancing product innovation and industrialization in areas such as smart wearables, smart cockpits, and humanoid robots [3]

Core Insights - The launch of the "Zidong Taichu" 4.0 model marks a significant advancement in China's AI capabilities, showcasing superior multimodal reasoning and cognitive abilities compared to existing models like GPT-5 [1][4] - The introduction of the "Zidong Taichu Cloud" platform aims to convert the technological advantages of the 4.0 model into practical industrial value, providing comprehensive support for enterprises [5][6] Model Capabilities - "Zidong Taichu" 4.0 features human-like multimodal reasoning, capable of complex tasks such as identifying and calculating positions of balls in a game of snooker, demonstrating advanced understanding and reasoning abilities [3][4] - The model achieves state-of-the-art performance in video multimodal applications, capable of deep understanding and analysis of 180-minute long videos across multiple tasks [4] Technological Innovations - The model incorporates three core technological innovations: low-cost data synthesis for real events, critical multi-round reflective learning, and difficulty-sensitive adaptive reinforcement learning, enhancing training efficiency and reasoning performance by approximately 15% compared to version 3.0 [5] - The "Zidong Taichu Cloud" is the first native collaborative cloud for multimodal large models in China, offering a full-stack AI capability to support enterprises from computational power to application deployment [5][6] Industry Impact - The collaboration with Huagong Technology on high-precision laser welding technology exemplifies the model's potential to enhance industrial applications, with a projected 15% improvement in reasoning speed [4] - The establishment of a heterogeneous intelligent training platform for large models aims to accelerate technological iteration and application in the AI sector, highlighting the importance of computational power in the digital economy [6]