- Mainstream LLM-generated text as of early 2026 shows strong statistical patterns, detectable by traditional machine learning models.
- An online demo using a simple SVM classifier achieves ~85% single-sentence accuracy, trained on human and LLM-generated data.
- Data was gathered from pre-2022 human texts and LLM-regenerated summaries via multiple low-cost/free APIs from models like Gemini, Qwen, and GLM.
- Seven binary classifiers were trained, using majority voting; detection remains robust against common anti-detection methods like translation or rewriting prompts.
- Testing on unseen models and human texts shows low false positives; analysis of Lofter content suggests significant undisclosed AI-generated material.
- The author expresses skepticism about LLMs' creativity, viewing AI-generated content as repetitive and shallow, and reflects on broader implications of AI misuse.