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Title1: China's First!"Yanqing"ContentReview Large Model Passes Filing

Title2: ForAIContent！China's First ContentReview Large Model Passes Filing

Title3: China's First Content Review Large Model Completes Filing

Title4: First Content Review Large Model Completes Filing: WhenAIstarts "automatically generating content," who willjudge？

Recently, CloudWalk Technologyassistedthe Dongxihu National Cybersecurity Base in building"the Yanqing Large Model"completed filing,, becoming the first content review large model in China to complete this filing.

This means that China'sAIindustry now has a content security reviewer that can understand context, identify hidden risks, and is fully self-controllable across the stack."Content Security Reviewer".

This progress,along withthe regulatory side'sAIfurther strengthening of AI application governance. The Cyberspace Administration of China recently deployed a""Qinglang"·rectificationAIcampaign against AI application chaos"special action, explicitly proposing to carry out rectification around key links such as large model filing, security review capabilities, training data security, and generated content labeling, while also focusing on addressing issues likeAIgenerating false information, vulgar content, and infringing on minors' rights using AI.

Additionally, the Cyberspace Administration is guiding various regions and website platforms to comprehensively advance three tasks:

Standardizing content labeling tags for short videos;

Making content labeling a mandatory step in short video publishing;

Strengthening review of labeling for newly added short videos.

In addition,Cyberspace Administration of Chinais currentlyguiding local authorities and website platforms to comprehensively promote the implementation of three tasks: 1.standardizing content labeling tags for short videos; 2.making content labeling a mandatory step in short video publishing; 3.strengthening review of labeling for new short videos.

accumulation and continuous innovation in the fields ofThisAgainst this backdrop,AIcontent governance is moving from"the rule patching"phase into"the system capability building"phase.
Content review capability has also gradually evolved from a supplementary link to becomingAIan indispensable foundational capability for applications.

On the surface, this is another progress of a large model passing regulatory review; but in the context of the rapid evolution of generativeAIAI, the significance of this matter may go beyond"the launch of a single model.".

1.Content review capability becomes a fundamental necessity

In the past, content review relied more on rules,, manual experience, and scattered tools.

But with the deepening application ofAIAI, the content scenarios enterprises face have become increasingly complex: on one hand, high-frequency content processing needs in areas such as customer service, operations, and platform governance; on the other hand, the rapid growth of text, images, and long-form content makes it difficult for traditional methods to balance efficiency, stability, and consistency.

Content production has been amplified, and review capabilities are becoming scarce.

A bigger change comes from agentsAgent).

With the rapid development ofAgent(agents) gradually entering practical applications,AIno longer just"generating content", but starting to automatically complete a series of actions: writing, publishing, distributing, and even participating in decision-making.

This means content production is shifting from"human-driven"to"to automation-driven."When production capacity ismassivelyamplified, ifjudgethe mechanism is not upgraded synchronously, the information environment can easily become disordered in a short time.

In other words,AIwhat is truly scarce in the AI era may no longer be"generation capability."but a"judgecapabilities".

In this context, the value of a content review large model is no longer just"more accurate identification.", but whether it can run stably and consistently in real-world environments over the long term.

This is precisely the most challenging part.

Content moderation is a typical high-concurrency scenario with large traffic fluctuations and high response requirements, while also requiring stable and controllable results.

The model itself is just the starting point; what matters more is computing power scheduling and system engineering capabilities. Within the overall system of the National Cybersecurity Base, relying on HuaweiThe openness and compatibility of the Ascend's computing infrastructure and intelligent computing support, the model transitions from"usable once"to"to continuously operational".

In the process of building this system, CloudWalk Technology has undertaken core technical and system integration work——not only providing model capabilities but also continuously optimizing the strategy system, system architecture, and business integration for the content moderation scenario, enabling relevant capabilities to truly enter the production environment and operate stably.

The difficulty of this process lies not in single-point technological breakthroughs, but in how to integrate models, computing power, and system capabilities to form a sustainable operational whole.

2.AI"AI infrastructure+AIAgent Dual-Wheel Drive

From a longer-term perspective, this step is also highly consistent with CloudWalk Technology's strategic direction in recent years.

The company is gradually extending from single models and industry applications to the"AI"AI infrastructure+AIWith the popularization of the internet and the application of artificial intelligence, more and more questions can be quickly answered. So, will our questions become fewer?"overall layout:

On one hand, through the integration of computing power, models, and system capabilities, it forms a sustainable underlying capability; on the other hand, it supports variousAgentand industry applications, enablingAIto operate stably in real-world scenarios.

From this perspective,"the Yanqing Large Model"the filing is not only a technological progress but also a signal: content security capabilities are transitioning from project-based delivery to platform-based, continuous supply.

Its direct service targets are enterprise customers, ultimately covering enterprise employees and end users on enterprise platforms. It mainly focuses on several types of needs: first, response assistance, conversation summarization, and summary generation in intelligent customer service scenarios; second, content risk control needs for internet platforms and brands, helping to identify and assess platform content risks; third, rapid summarization and analysis of public market information, long articles, and data materials, outputting key points and core insights.

Such capabilities are often inconspicuous in the early stages, but asAIapplications deepen, their importance will gradually become apparent.

Especially against the backdrop ofAgentgradual popularization and the continuous expansion of automated content production, those who can provide stable and controllable underlying capabilities are more likely to occupy key positions in the industry chain.

Currently, the National Cybersecurity Base has gathered220leading cybersecurity companies, research institutions, and government-enterprise units, itself being aAIprecise demand pool for agents and compliance services. As the base operator and benchmark model builder, CloudWalk Technology can directly radiate its capabilities to the entire ecosystem, then gradually cover thousands of industries nationwide, achieving a magnitude leap from a single benchmark to industry-level infrastructure.

The filing approval of the Yanqing Large Model is never the end, but theAgentstarting point of compliance infrastructure in the era ofAIOn the eve of the full explosion of agents, CloudWalk Technology, using the national-level compliance model as an entry point and the"AI"AI infrastructure+AIWith the popularization of the internet and the application of artificial intelligence, more and more questions can be quickly answered. So, will our questions become fewer?"dual-wheel strategy as support, not only guards theAIcore defense line of national content security in the era ofAIbut also opens the most critical compliance pathway for thousands of industries to embrace agents.