There are many tools and algorithms that can be used to generate repetitive and meaningless text. Here are some common methods and tools: 1. **Random text generator**: This type of tool uses randomly selected words or phrases to create text, usually without specific meaning. For example, many websites provide random text (such as "Lorem Ipsum") generation functions. 2. **Markov chain**: By using the Markov chain model, new text sequences can be generated based on the input text data. This method is often used to create text that imitates a certain style, but it may generate meaningless content when not properly controlled. 3. **GPT-like model**: Although GPT-3 or similar language models can generate relevant natural language text, they may also generate repetitive and meaningless text if they are not properly constrained or guided by the context. 4. **Article spinner**: It is usually used to change sentence structure and replace synonyms to generate new text with different content. Sometimes it generates illogical or grammatical results. 5. **Automation script**: Simple programming scripts can be used to generate large amounts of repetitive or random text according to certain patterns. For example, such content can be generated using Python's loop and random library. These tools and methods are suitable for different usage scenarios, such as testing, content filling or data generation, depending on the quality and purpose of the text they produce.