1. High speed: AI can accomplish a large number of text generation tasks in a very short period of time. In contrast, people need to spend more time and effort to conceptualize, write and edit text.
2, big data processing: AI can process huge data sets, extract key information and patterns from them, and generate relevant text content. This enables AI to provide rich and accurate information in a variety of fields of writing and creation.
3. Continuous operation: AI is not limited by time and can work around the clock. In contrast, humans may need breaks and rest periods to maintain productivity.
4, automated processes: AI can perform automated writing and creation processes, including text generation, proofreading, and touch-ups. This reduces manual intervention and time costs.
However, it is worth noting that despite the efficiency of AI in writing and creation, it still has some limitations:
1. Creativity and Emotion: AI is currently unable to have creative thinking and emotional expression like humans. Although AI can generate content, its lack of emotion, intuition and uniqueness makes it possible for the text it generates to be uninspired and artistic in some ways.
2. Contextual understanding: AI still has some difficulty in dealing with complex contextual understanding. Although AI can analyze large amounts of data, it still may not be able to accurately understand and explain the deeper meaning behind certain texts.
3. Lack of subjectivity: AI-generated texts are usually objective and neutral, lacking personal views and positions. This may create limitations in writing tasks that require subjective viewpoints and emotional input.
In summary, AI is efficient in writing and creativity, but there are some limitations and challenges. Current AI technologies have much to offer in fueling the writing and creative process, but human involvement and professional judgment are still critical for areas involving subjectivity, creativity, and emotional expression.