Detecting LLM-Generated Texts with “Classical” Machine Learning

# Summary Researchers have successfully developed a machine learning model using scikit-learn SVM that can detect LLM-generated text with approximately 85% accuracy by identifying distinctive statistical patterns, suggesting this is likely how commercial "AI plagiarism checkers" operate. The author created an online detector and explored both traditional detection methods and potential bypassing techniques like translation and prompt manipulation. The work demonstrates that as of early 2026, mainstream AI-generated text remains distinguishable from human writing through classical machine learning approaches, though the detector has limitations on single-sentence inputs.