Classical ML rivals deep learning in detecting LLM text

A new blog post shows that traditional machine learning models like logistic regression and random forests can detect LLM-generated text with up to 99% accuracy, matching or exceeding deep learning approaches. The method uses simple features such as perplexity and burstiness, requiring far less compute. This suggests lightweight, interpretable detectors are viable for real-world AI text identification.