Brief

A developer has created a Chrome extension called "Slop Hammer" that uses a fine-tuned Qwen 0.8B model to detect AI-generated content. The model, trained on the Pangram dataset from their EditLens paper, runs locally and provides a probability distribution of AI generation. While effective on older LLM outputs, it shows limitations with newer models like GPT-5.5. AI

A new research paper reveals that base AI models, unlike their instruction-tuned counterparts, are often misclassified as human by popular AI text detectors like GPTZero and Pangram. The study proposes a method called Humanization by Iterative Paraphrasing (HIP) to fine-tune base models into paraphrasers, which can then iteratively refine generated text to evade detection. This technique, tested on Llama-3 and Qwen-3 models across various sizes, demonstrates improved detector evasion while preserving semantic meaning, suggesting current detectors may be tracking instruction-tuning artifacts rather than inherent machine-generated text qualities. AI