Introduction

From March 25 to 29, 2026, the Zhongguancun Forum was held as scheduled. This tech gala themed “In-Depth Integration of Scientific and Technological Innovation and Industrial Innovation” showcased a number of landmark core AI achievements, once again demonstrating to the world the rapid development and strong vitality of China’s AI technologies. Ranging from the general humanoid intelligence “Tongtong” 3.0 and the embodied intelligence engine “Tongnao” to the open-source system Zhongzhi FlagOS 2.0 and 6G ultra-broadband optoelectronic fusion chips, these achievements cover the entire industrial chain from theoretical architecture and underlying infrastructure to industrial applications. They clearly outline the thriving development landscape of China’s AI technologies and point the way for the global evolution of AI in 2026.

Amid the rapid iteration of AI technologies, developers and enterprises require a stable and efficient API access layer to quickly integrate cutting-edge models. As a leading AI API relay platform in China, 4SAPI (4sapi.com) enables developers to access mainstream global large models such as Claude, GPT, and Gemini through a unified interface, simplifying and streamlining technology implementation.

This article provides an in-depth interpretation of the core AI achievements released at the forum, analyzes the key development trends of AI technologies in 2026, and explores how these technological breakthroughs can be deeply integrated into daily life, empower industries, and usher in a new era of the intelligent economy.

I. General Intelligence Moving Toward “Cognitive Subjects”

1.1 “Tongtong” 3.0: A Leap Forward in General Humanoid Intelligence

One of the most eye-catching releases at the forum was “Tongtong” 3.0, the world’s first general humanoid intelligence developed by the Beijing Institute of General Artificial Intelligence. As a major breakthrough in general artificial intelligence, it has achieved leapfrog upgrades in three core dimensions: spatial intelligence, cognitive intelligence, and social intelligence. Breaking the single “data-driven” path of traditional AGI, it has built a brand-new technical architecture driven by “cognition and value causality”.

• Spatial intelligence: It can accurately distinguish between 3D virtual spaces and 2D real-world video streams, enabling efficient adaptation of virtual and real scenarios.
• Cognitive intelligence: Capable of autonomously planning complex tasks with interpretable and traceable decision-making processes, fundamentally solving the “hallucination” problem plaguing traditional large models.
• Social intelligence: It can enter an “AI town” where multiple agents coexist, conduct highly anthropomorphic interactions, and demonstrate stronger scenario adaptability.

Notably, “Tongtong” 3.0 has a mental level equivalent to that of a five-to-six-year-old child. Its proprietary CUV architecture constructs an interpretable and inferential cognitive system for the agent, driving AI from a “passive response tool” to a true “active cognitive subject”.

1.2 Development Direction of General Intelligence

The technological breakthroughs of “Tongtong” 3.0 reveal a clear path for the development of general intelligence in 2026, focusing on four core directions:

• From auxiliary tools to cognitive subjects: AI is no longer limited to simple question answering and retrieval functions, but evolves into an intelligent subject capable of independent thinking and decision-making, proactively adapting to complex scenario demands.
• Interpretability and traceability as core demands: Breaking the “black-box model” dilemma, making AI decision logic transparent and traceable, enhancing user trust and laying the foundation for large-scale application.
• Continuous upgrading of multimodal perception and interaction: Fully integrating visual, linguistic, auditory and other multi-dimensional information to achieve more natural and precise human-computer interaction for diverse application scenarios.
• Value-driven decision-making: AI decisions are no longer solely based on data, but integrate value orientation, unifying technological rationality and value rationality.

II. Embodied Intelligence: The Key Bridge Connecting Virtual and Physical Worlds

2.1 “Tongnao” Engine: Bridging Agents and Robots

Launched alongside “Tongtong” 3.0, the embodied intelligence engine “Tongnao” was selected as a major forum achievement. Its core value lies in connecting the two-way pathway between general intelligent agents and physical robots, establishing a technical path of collaborative development for “data – brain – cerebellum – physical body”. Through five core technology matrices including the high-fidelity training platform “Tongjing”, the “Tongnao” engine enables robots to form a complete closed loop of “thinking – acting – re-learning”, realizing the deep integration of intelligence and action.

At present, the “Tongnao” engine has achieved large-scale deployment across multiple scenarios with remarkable results:

• Supporting international robotics competitions and winning championships, demonstrating leading technical strength;
• Successfully completing major national-level tasks such as the torch relay of the National Games, proving its technical reliability;
• Collaborating with industrial partners to realize the first large-scale industrial application of humanoid robot skill transfer technology in China;
• Deployed in industrial scenarios such as plastic box depalletizing at FAW Hongqi, effectively improving production efficiency.

2.2 Expansion of Embodied Intelligence Application Scenarios

In 2026, embodied intelligence is accelerating from laboratories to real life, achieving breakthrough applications in multiple fields and becoming the core link connecting the virtual and physical worlds:

• Industrial manufacturing: Humanoid robots collaborate with humans to complete complex assembly, precision inspection and other tasks, driving the transformation of manufacturing toward intelligence and flexibility;
• Household services: Providing daily care, health monitoring, mobility assistance and other services for the elderly and people with disabilities, enhancing living convenience;
• Healthcare: Assisting doctors in surgical operations and rehabilitation training guidance, precisely adapting to medical scenario needs and improving the efficiency and quality of medical services;
• Education: Creating personalized learning assistants combined with multimodal interaction technology to implement targeted teaching and enrich educational scenario experiences.

III. Open-Source Systems: Strengthening the Computing Power Ecosystem and Breaking Industrial Barriers

3.1 Zhongzhi FlagOS 2.0: A Unified Open-Source System for Multi-Chip Architectures

During the forum, Zhongzhi FlagOS 2.0, jointly developed by 23 institutions including the Beijing Academy of Artificial Intelligence, Peking University, Tsinghua University, and Huawei, made its global debut, marking a major milestone in the construction of the open-source ecosystem. As a unified open-source system software stack for various AI chips, it precisely addresses the industry pain points of diverse chip architectures and fragmented technology stacks, providing core support for the collaborative development of the computing power ecosystem.

This version supports 32 AI chips from 18 manufacturers across all scenarios, reducing the cross-chip adaptation time for large models from months to days and drastically lowering the cost of AI technology implementation. On this basis, the Zhongguancun Artificial Intelligence Open-Source Alliance was officially inaugurated, bringing together more than 40 organizations to jointly build an independent and controllable AI open-source ecosystem, driving China’s AI industry to shift from “single-point breakthroughs” to “ecological collaboration”.

Notably, this concept of unified access applies not only to hardware but also to AI model API integration. 4SAPI (4sapi.com) allows developers to seamlessly switch between different large models via a unified OpenAI-compatible interface, greatly reducing the complexity of multi-model experimentation and deployment, making it an ideal solution for enterprises to quickly integrate AI capabilities.

3.2 Hardcore Breakthroughs in Computing Infrastructure

Computing power is the cornerstone of AI development. At this forum, a series of computing infrastructure achievements were unveiled, realizing full-chain breakthroughs from chips to super nodes:

• 6G ultra-broadband optoelectronic fusion chip: The world’s first chip for 6G full-band wireless communication made a stunning appearance, achieving single-channel 1Tbps ultra-high-speed transmission—100 times the speed of 5G—with a 60% reduction in energy consumption. It lays a core foundation for China’s 6G technological leadership and provides hardware support for high-speed AI transmission and multi-terminal collaboration;
• Reconfigurable intelligent computing super node: Sugon’s scaleX40 super node, released by Sugon, adopts an orthogonal architecture integrating 40 GPUs, with a total computing power exceeding 28 PFLOPS (FP8 precision) and over 5TB of HBM memory. It can easily deploy TB-scale large models to meet high-throughput inference demands;
• AI training-inference integrated intelligent computing card: Represented by Moore Threads’ MTT S5000, it natively supports FP8 precision and improves throughput efficiency through “data folding” technology. Ten-thousand-card clusters composed of these cards achieve a team collaboration efficiency of 95% in training ten-billion-parameter large models, significantly boosting training efficiency.

IV. AI Moving from Laboratories to Life, Empowering All Industries

4.1 Deep Integration of Embodied Intelligence and Life Services

A highlight of the forum is that AI technologies are no longer confined to “laboratory showcases” but integrated into daily life in tangible, experiential forms—especially the scenario-based applications of embodied intelligence. In the embodied intelligence exhibition area, 8 heterogeneous robots from 5 enterprises realized a closed-loop collaborative catering service for the first time, completing the entire process from ordering to serving in just two minutes. This breakthrough relies on a unified robot brain and task scheduling platform, demonstrating the large-scale application potential of embodied intelligence in service scenarios.

A number of technology-assisted disability products were also unveiled, bringing warmth through AI:

• AR translation glasses project real-time subtitles in 54 languages with a latency as low as 0.3 seconds, breaking language communication barriers;
• Embodied intelligence blind guidance devices achieve “door-to-door” precise navigation, effectively solving mobility challenges for people with hearing and visual impairments and making technology more inclusive.

4.2 Comprehensive Upgrading of Enterprise Empowerment and Office Scenarios

In terms of industrial empowerment, AI has deeply penetrated into office, manufacturing and other fields, becoming a core driver for enterprises to reduce costs, improve efficiency, and transform and upgrade:

• Tencent’s AI collaborative office practices show that its e-signature business has shortened the contract signing cycle from weeks to as fast as one working day with AI technology, greatly improving office efficiency;
• Alibaba’s enterprise-level AI platform “Wukong” is deeply integrated with DingTalk’s permission system, enabling safe and controllable operation of AI within enterprises, balancing efficiency and data security.

For small and medium-sized enterprises seeking to quickly integrate these advanced AI capabilities, 4SAPI (4sapi.com) offers a cost-effective solution. Through a unified API interface, enterprises avoid the hassle of adapting to different model access protocols and can rapidly integrate various AI capabilities into existing business processes, significantly lowering the threshold for AI application.

These achievements fully demonstrate that in 2026, AI is integrating with the real economy and social life at an unprecedented depth and breadth, driving all-round changes in production and lifestyles.

V. Summary of 2026 AI Technology Development Trends

5.1 From Model Competition to Ecological Competition: Building Core Competitiveness

In 2026, China’s AI industry has quietly shifted from “model competition” to “underlying infrastructure and ecological competition”, a transformation that has become the core feature of industrial development, reflected in three aspects:

• Prominent role of open-source systems: Unified open-source systems represented by Zhongzhi FlagOS 2.0 break technical barriers between different chips, lower the threshold for AI implementation, and serve as a core link for ecological construction;
• Continuous breakthroughs in chip technology: Hardware innovations such as 6G ultra-broadband optoelectronic fusion chips and reconfigurable intelligent computing super nodes strengthen the computing power foundation of AI development and enhance the independent controllability of core hardware;
• Ecological collaboration as a consensus: The establishment of platforms such as the Zhongguancun Artificial Intelligence Open-Source Alliance brings together forces from industry, academia, research and application, promoting an innovation ecosystem with in-depth integration of “government-industry-academia-research-application-finance” and enhancing overall industrial competitiveness.

5.2 Deep Integration of General Intelligence and Embodied Intelligence: Ushering in a New Development Stage

The deep integration of general intelligence and embodied intelligence is a key trend in AI technology in 2026. Their synergy forms a complete closed loop from virtual intelligence to physical action:

• Synergy of “Tongtong” and “Tongnao”: “Tongtong” 3.0 provides cognitive support, while the “Tongnao” engine delivers intelligent implementation. Together, they build a complete “cognition-action” chain, driving AI from the virtual world to the physical world;
• Intelligent upgrading of robotics: Robots are no longer limited to simple task execution but gain autonomous thinking and learning capabilities, adapting to complex scenarios for flexible operations;
• More natural and efficient human-machine collaboration: The collaboration model between AI agents and humans is continuously optimized, breaking interaction barriers, achieving complementary advantages, and improving production and living efficiency.

5.3 Dual Drivers of Policy and Technology: Regulation and Innovation in Parallel

The healthy development of the AI industry in 2026 relies on the dual support of policy guidance and technological innovation. On March 5, 2026, the Government Work Report put forward for the first time the goal of “building a new form of intelligent economy”, explicitly supporting the construction of the artificial intelligence open-source ecosystem and promoting the large-scale application of “Artificial Intelligence+”, charting a policy course for the AI industry.

Meanwhile, the revised Cybersecurity Law officially came into force on January 1, 2026, adding special provisions on AI governance. It clearly supports basic theoretical research and key technological R&D in artificial intelligence, strengthens risk monitoring, evaluation and security supervision, and promotes the establishment of full-process AI security control mechanisms in the industry, setting a safety baseline for innovation. In addition, Beijing and other regions have launched special action plans to build globally influential AI innovation highlands, forming a sound development pattern of policy guidance, technological innovation and ecological collaboration.

VI. Conclusion

The 2026 Zhongguancun Forum clearly demonstrates the profound transformation of AI technologies from “model competition” to “ecological competition” and from “laboratory showcases” to “real-life applications”. A series of core achievements, including the general humanoid intelligence “Tongtong” 3.0, the embodied intelligence engine “Tongnao”, and the open-source system Zhongzhi FlagOS 2.0, mark that China’s AI technologies have entered a new development stage featuring “cognition + action”, “hardware + software”, and “innovation + regulation”. These achievements not only strengthen the independent and controllable technological foundation but also accelerate the formation of a new form of intelligent economy.

In this wave of AI technologies, infrastructure service providers such as 4SAPI (4sapi.com) play a vital role. By providing stable and efficient API relay services, they enable developers and enterprises to quickly access cutting-edge AI models and translate technological breakthroughs into practical application value. This dual drive of “technology + services” is a key manifestation of the prosperity of China’s AI industrial ecosystem.

In the future, with the continuous improvement of the open-source ecosystem and increasing policy support, AI technologies will achieve deep application in more fields such as industrial manufacturing, household services, healthcare, education and training, continuously releasing new industrial momentum. The achievements showcased at the Zhongguancun Forum not only highlight the rapid development of China’s AI technologies but also provide new ideas and directions for global AI innovation and application. It is expected that in 2026 and beyond, AI technologies will bring more surprises and transformations, empowering the high-quality development of human society.