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// 99d 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
99d ago
2026-03-03
PUBLISHED
99d ago
2026-03-03
RELEVANCE
8/ 10