L4级智能体大战：技术科普+避坑指南，一篇讲清

Core Viewpoint - The article discusses the competition between 360's Nano AI and Deep Yuan's MasterAgent in the context of L4-level AI agents, emphasizing the technical differences and capabilities of each product in achieving true autonomy and self-evolution in AI systems [1][10]. Group 1: Definition of L4-Level AI - L4-level AI originally refers to "highly automated driving," where vehicles can operate independently within designated areas without human intervention. In the AI agent domain, L4 standards include full management, autonomous decision-making, and self-evolution [3][4]. - The three key requirements for L4-level AI agents are: 1. Full-link autonomy: No human intervention from understanding needs to delivering results 2. Dynamic collaboration: Ability to generate multiple agents that work together to complete tasks 3. Self-iteration: Capability to reflect on errors and optimize strategies, becoming smarter over time [3][4]. Group 2: Comparison of Nano AI and MasterAgent - 360's Nano AI currently integrates 50,000 L3-level agents, which can perform single tasks like checking the weather or writing copy. However, it lacks the ability to generate new agents or dynamically adjust collaboration rules, and it does not possess self-evolution capabilities [4][5]. - In contrast, MasterAgent meets L4 standards with its technical architecture: 1. Full-link autonomy: It can autonomously generate multiple agents to handle complex tasks without human input 2. Dynamic collaboration: The generated agents can autonomously allocate tasks and collaborate based on their roles and capabilities [6][7]. 3. Self-iteration: MasterAgent updates its knowledge base and skill models weekly through incremental training, allowing its agent cluster to learn and maintain industry-leading capabilities [7][8]. Group 3: User Considerations - For users seeking a simple assistant for tasks like chatting or writing small pieces, 360's Nano AI may suffice. However, for those needing a cost-effective AI team or customized agent clusters, Deep Yuan's MasterAgent is more suitable, potentially increasing efficiency by a hundredfold [9][10].