Invalid input data can't provide any value for investment decisions. The current text consists only of repeated garbled characters and meaningless symbols, making it impossible to extract any valid information about AI technology evolution, tech trends, or market valuations. When dealing with unstructured data, the integrity of the information is the foundation of analysis. If the original data source (like video transcripts) has severe decoding errors or character corruption, all subsequent quantitative analysis, sentiment monitoring, and logical reasoning will lose their baseline. Such low-quality input not only fails to support logical construction but also directly leads to incorrect conclusions from the model output. For in-depth analysis, the accuracy of the original text must be ensured.