FAQ & AI Insights / 常见问题与 AI 洞察

What is Generative AI? / 什么是生成式人工智能？

Generative AI is a type of artificial intelligence capable of creating new content, such as text, images, audio, or video. Unlike traditional AI that only analyzes existing data, generative AI (like ChatGPT or Stable Diffusion) learns from massive datasets to simulate human creativity and generate entirely new works. 生成式人工智能是一种能够创建新内容（如文本、图像、音频或视频）的 AI 技术。与传统 AI 只能分析现有数据不同，生成式 AI（如 ChatGPT、Stable Diffusion）可以通过学习海量数据，模拟人类的创造力来生成全新的作品。

What is AI Hallucination? / 什么是 AI 幻觉？

AI Hallucination refers to the phenomenon where an AI model (especially Large Language Models) provides answers that sound confident but are factually incorrect or illogical. This is one of the primary challenges in the AI field today, and users should always fact-check AI-generated content. AI 幻觉是指人工智能模型（尤其是大型语言模型）在回答问题时，表现得非常自信但内容却是事实错误或逻辑不通的现象。这是目前 AI 领域面临的主要挑战之一，用户在使用 AI 生成的内容时应始终进行事实核查。

How will AI Agents change our work? / AI 智能体将如何改变我们的工作？

AI Agents are more than just chatbots; they are systems capable of autonomous planning, calling tools, and executing complex tasks. In the future, AI Agents could help us manage bookings, schedules, or even write software, significantly boosting productivity for both individuals and enterprises. AI 智能体不仅仅是聊天机器人，它们是能够自主规划、调用工具并执行复杂任务的系统。未来，AI 智能体可以帮我们处理预订旅行、管理日程甚至编写软件，从而极大地提高个人和企业的生产力。

Will AI replace human creativity? / 人工智能会取代人类的创造力吗？

The current consensus is that AI serves as a 'Creative Co-pilot.' It can handle repetitive creative labor and spark new inspiration, but human emotional depth, value judgment, and unique aesthetic experiences remain irreplaceable. In the AI era, human creativity will focus more on 'asking the right questions' and 'aesthetic direction.' 目前的共识是 AI 更像是一个‘创意副驾驶’（Co-pilot）。它能处理重复性的创作劳动，激发新的灵感，但人类的情感深度、价值观判断和独特的审美体验仍然是不可替代的核心。AI 时代，人类的创造力将更多体现在‘提问’和‘审美把控’上。

2026 AI Trends: From Dialogue to Action / 2026 年 AI 趋势展望：从对话到行动

Entering 2026, we are witnessing a major leap from 'conversational' to 'actionable' AI. Early generative AI was mostly about text generation and simple Q&A, while today's AI Agents possess multi-step planning and cross-platform execution capabilities.

进入 2026 年，我们正见证着人工智能从“对话式”向“行动式”的重大跨越。早期的生成式 AI 主要停留在文字生成和简单问答层面，而现在的 AI 智能体（AI Agents）已经具备了多步规划和跨平台操作的能力。

Meanwhile, addressing 'AI Hallucination' has become a top industry priority. With advancements in RAG (Retrieval-Augmented Generation) and model alignment, the accuracy of AI-provided information is reaching unprecedented levels. For developers and business owners, finding the right AI tools and integrating them seamlessly into workflows will be a key competitive advantage.

与此同时，解决“AI 幻觉”问题已成为行业发展的重中之重。随着检索增强生成（RAG）和模型对齐技术的进步，AI 提供的信息准确度正得到前所未有的提升。对于开发者和企业主来说，如何在这个 AI 驱动的时代找到最适合自己的工具，并将其无缝集成到工作流中，将是决定竞争力的核心因素。