LOBSTERS · LOBSTERS// 40d agoTUTORIAL

AITextDetector shows classical ML can flag LLM fiction

A Lobsters post highlights lyc8503’s write-up and demo showing that a TF-IDF plus LinearSVC pipeline can separate human vs. LLM-generated web-novel text with about 85% sentence-level accuracy. The project argues cheap, interpretable “classical” ML can still work surprisingly well for narrow-domain AIGC detection.

// ANALYSIS

This is a strong reminder that simple models still win when the data is domain-specific and the problem is framed tightly.

–The project uses a practical workflow: synthetic paired data generation, binary classifiers per model family, then majority voting.
–Browser-side JS inference and an open GitHub repo make it easy for developers to inspect, test, and adapt.
–The stated scope is narrow (Chinese creative writing), so cross-domain and adversarial robustness are the main caveats.

// TAGS

aitextdetectorllmresearchdevtoolopen-source

DISCOVERED

40d ago

2026-03-03

PUBLISHED

40d ago

2026-03-03

RELEVANCE

8/ 10