分类：AI大模型

This analysis examines critical AI security vulnerabilities within the ILIAS Learning Management System, highlighting potential risks in data processing, model integrity, and access control mechanisms. The report provides technical insights for security professionals to identify, assess, and mitigate these vulnerabilities in educational technology environments. // 本分析深入探讨ILIAS学习管理系统中的关键AI安全漏洞，重点关注数据处理、模型完整性和访问控制机制中的潜在风险。报告为安全专业人员提供技术见解，帮助识别、评估和缓解教育技术环境中的这些漏洞。

This article introduces a novel deep learning model for generating light field views, which enhances 3D scene reconstruction and immersive visual experiences by simulating multi-perspective light information. The model leverages neural networks to predict light rays from sparse inputs, enabling applications in virtual reality, computational photography, and autonomous systems. (本文介绍了一种新型的深度学习模型，用于生成光场视图，通过模拟多视角光线信息来增强三维场景重建和沉浸式视觉体验。该模型利用神经网络从稀疏输入中预测光线，可应用于虚拟现实、计算摄影和自主系统等领域。)

This article explores a novel deep learning model for generating light field views, discussing its technical architecture, advantages over traditional methods, and potential applications in fields like virtual reality and medical imaging. (本文探讨了一种用于生成光场视图的新型深度学习模型，详细介绍了其技术架构、相较于传统方法的优势以及在虚拟现实、医学成像等领域的应用潜力。)

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Vibecoding is an emerging AI-driven programming paradigm that shifts focus from syntax to intent expression, enabling developers to generate code through natural language interaction with LLMs. This approach transforms developers from code writers to product thinkers and AI collaborators, significantly lowering programming barriers and accelerating development cycles while introducing new challenges in code quality and security. (Vibecoding是一种以AI为核心的新兴编程范式，将编程重点从语法细节转向意图表达，开发者通过自然语言与大型语言模型交互生成代码。这种模式将开发者角色从代码编写者转变为产品思维引导者和AI协作者，大幅降低编程门槛并加速开发周期，同时带来代码质量和安全方面的新挑战。)

Vibe Coding represents a fundamental shift in software development where developers focus on intent and user experience rather than syntax, using AI tools to generate and iterate code through natural language prompts. (Vibe Coding代表了软件开发的根本性转变，开发者专注于意图和用户体验而非语法，通过自然语言提示使用AI工具生成和迭代代码。)

Vibecoding is a revolutionary programming paradigm that shifts focus from implementation details to desired outcomes, leveraging AI to generate and refine code based on iterative feedback. This approach enables developers to immerse themselves in a 'prompt-result-adjust' loop, dramatically boosting productivity and lowering barriers to entry. (Vibecoding是一种革命性的编程范式，将关注点从实现细节转向预期结果，利用AI根据迭代反馈生成和优化代码。这种方法让开发者沉浸在“提示-结果-调整”的循环中，显著提升生产力并降低入门门槛。)

English Summary: This article traces the evolution of AI programming from Andrej Karpathy's initial Vibe Coding concept to the more systematic Context Coding methodology that emerged in 2025. It analyzes the tool ecosystem, compares three programming paradigms, and provides practical implementation strategies while forecasting 2026 trends including Agentic AI and standardized MCP protocols. (中文摘要翻译：本文追溯了从Andrej Karpathy提出的Vibe Coding概念到2025年形成的更系统化的Context Coding方法论的演进历程。分析了工具生态系统，对比了三种编程模式，提供了实践建议，并展望了2026年包括Agentic AI和标准化MCP协议在内的技术趋势。)