On January 23, 2025, Zhiyu AI quietly launched its new intelligent agent product GLM-PC 1.1. This product not only marks the leap of AI technology from a “dialogue tool” to an “action entity” but also heralds the official arrival of the AI agent era. Compared to the Operator released on the same day by OpenAI, GLM-PC 1.1 quickly became the focus of the industry with its powerful task execution capabilities and free open strategy. Today, we will deeply analyze this product, hailed as the “AI Agent Revolution.”
Core Functions and Technological Innovations of GLM-PC 1.1
GLM-PC 1.1 is a major upgrade based on Zhiyu AI’s AutoGLM and GLM-PC 1.0. It has significantly improved its ability to decompose and execute complex tasks, introducing deep thinking modes and a code thinking framework, achieving new heights in task planning, reasoning, and reflection capabilities.
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1. Deep Thinking Mode The deep thinking mode of GLM-PC 1.1 is similar to OpenAI’s o1 model, capable of generating detailed thinking chains before executing tasks. For example, when a user asks it to send New Year greetings, it first decomposes the task, generates personalized content, and then sends it to each group member one by one. This mode not only enhances the accuracy of task execution but also expands application scenarios.
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2. Code Thinking Framework Unlike traditional thinking chains, GLM-PC 1.1 introduces a coding mechanism to generate content in the form of functions. This rigorous logical approach significantly enhances the handling of complex tasks. For instance, when dealing with multi-step tasks, GLM-PC can complete tasks step by step through code logic, ensuring the accuracy and efficiency of each step.
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3. Multimodal Interaction Capability GLM-PC 1.1 not only supports text generation but can also create images and videos and send them automatically. For example, users can have it generate New Year greeting images and videos and send them to friends with one click. This multimodal capability showcases the potential of AI in content creation and distribution.
Real-world Application Scenarios and User Experience
The performance of GLM-PC 1.1 in real-world applications is astonishing. It can handle daily tasks and demonstrate powerful capabilities in complex scenarios.
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1. Ticket Snatching and Shopping During the Spring Festival travel season, GLM-PC transforms into a “ticket snatching artifact,” capable of operating continuously to help users secure tickets home. Additionally, it can search for New Year goods on Taobao based on user needs and add them to the shopping cart. Although there may be occasional misjudgments like “2D Baji,” the overall performance remains satisfactory.
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2. File Management and Social Interaction GLM-PC can automatically organize files, send customized WeChat content, and even remotely control a computer via a mobile phone. For example, users can ask it to search for Spring Festival customs and organize the relevant content into a Word document for saving. This efficient working method greatly enhances user productivity.
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3. Multi-level Planning and Reflection Capability When handling complex tasks, GLM-PC demonstrates multi-level planning abilities. For instance, when a user asks it to recommend restaurants, it first searches for related posts on Xiaohongshu, then switches to Dazhongdianping to check ratings, and finally compiles a list of highly-rated restaurants. This capability not only saves users time but also improves the accuracy of task completion.
Comparison with OpenAI Operator
GLM-PC 1.1 and OpenAI’s Operator have significant differences in their technical approaches. Operator focuses on the browser environment, optimizing task flows through reinforcement learning, but the $200 monthly subscription fee deters many users. In contrast, GLM-PC 1.1 supports interaction across all operating systems and is completely free, making it more suitable for domestic users’ habits.
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1. Technical Approach Operator relies on the visual and reasoning capabilities of GPT-4o, focusing on web-based operations. Meanwhile, GLM-PC 1.1 supports a broader range of operating scenarios, including file management and software debugging, through a multimodal fusion architecture.
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2. Commercial Strategy OpenAI adopts a closed ecosystem relying on a subscription model, while Zhiyu AI lowers usage barriers through an open-source strategy, attracting a large number of developers and users.
Significance and Outlook of the AI Agent Era
The release of GLM-PC 1.1 not only reflects Zhiyu AI’s technological strength but also marks an important milestone in the AI agent era. With the continuous development of AI technology, the functions of intelligent assistants will become increasingly powerful, gradually evolving towards “superhuman” levels.
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1. Market Prospects It is predicted that by 2025, the AI agent market will exceed $10 billion. The launch of GLM-PC 1.1 will undoubtedly accelerate this process, promoting the popularization of AI technology in daily life.
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2. Technical Challenges Although GLM-PC 1.1 still has shortcomings in task success rates and screen adaptability, its powerful functions and free open strategy have already set a new benchmark for the industry.
Conclusion: The Future of AI Agents is Here
The release of GLM-PC 1.1 allows us to see the limitless potential of AI technology. It is not just an intelligent assistant but also a driver of human-computer interaction transformation. As AI technology continues to advance, we have reason to believe that future intelligent assistants will become more intelligent and humanized, truly becoming our capable helpers in life. By 2025, the AI agent era has arrived, and GLM-PC 1.1 is undoubtedly a shining star of this era. Let us look forward to how AI technology will change our lives and create a better future!
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