Category
The technology, accuracy and limits of AI content detection — explained honestly.
How AI detectors are trained: paired human and machine corpora, label noise, domain gaps, and why a classifier that was sharp in March slips by September.
Sep 25, 2026 · 9 min read
Stylometry authorship analysis is 60 years older than ChatGPT. Here is how counting function words settled the Federalist Papers, and what it cannot settle.
Sep 23, 2026 · 8 min read
Zero shot AI detection explained without the math: the probability curvature idea behind DetectGPT, why it generalizes, and the four costs it hides.
Sep 21, 2026 · 8 min read
Open source LLM detection explained: how fine-tuning, quantization and sampling settings move a model fingerprint, and what still works when they do.
Sep 18, 2026 · 8 min read
DeepSeek AI detection is harder than ChatGPT detection, and the reason is structural. What open weights change, what benchmarks show, and what evidence still works.
Sep 16, 2026 · 9 min read
How well does an AI detector handle other languages? Why Spanish and German scores are shakier than English ones, and what a true multilingual tool needs.
Sep 14, 2026 · 6 min read
An AI detector rated the US Constitution 92.15% AI-generated in 2023. Why the most famous AI detector fail happened — and what it teaches about every score.
Sep 9, 2026 · 6 min read
Do AI detectors work on Claude, Gemini and Llama, or just ChatGPT? What generalizes across model families, what benchmarks show, and where drift bites.
Aug 31, 2026 · 6 min read
What does an AI detection score mean? Why 40% AI isn't 40% written by AI, how major tools define their percentages, and how to read any score fairly.
Aug 26, 2026 · 6 min read
Can today's tools detect GPT-5 writing? What shrinking statistical separation, retraining lag and adversarial benchmarks really mean for frontier-model output.
Aug 21, 2026 · 9 min read
Multi-engine AI detection explained: why ensembles of detectors catch more, false-flag less, and how to read the cases where engines disagree.
Aug 21, 2026 · 6 min read
Do AI detectors detect paraphrasing? What benchmarks show about QuillBot-style rewrites and AI humanizers — and what paraphrased text still can't hide.
Aug 12, 2026 · 6 min read
How to tell if text is AI written: 12 signs editors actually look for, from uniform sentence rhythm to confident wrongness, with examples of each tell.
Aug 5, 2026 · 6 min read
What is burstiness in AI detection, and what does perplexity measure? The two statistics behind AI text detectors, explained with examples and honest limits.
Jul 29, 2026 · 6 min read
Can an AI generator detector tell which model wrote or drew something? Honest answer: text attribution is weak, image attribution is stronger. Here's why.
Jul 24, 2026 · 6 min read
What makes an advanced AI detector different from a one-model checker? A buyer's checklist: multi-engine scoring, confidence levels, provenance and more.
Jul 20, 2026 · 6 min read
Can AI detectors be wrong? Yes: documented failures, real error rates from independent studies, and a checklist for when to trust or challenge a score.
Jul 15, 2026 · 6 min read
How accurate are AI detectors in 2026? What independent studies from Stanford, UPenn and NBER actually found — and how to vet any vendor's accuracy claim.
Jul 6, 2026 · 6 min read
Why do AI detectors flag human writing? The real causes of AI detector false positives, who gets flagged most often, and what to do when it happens to you.
Jul 6, 2026 · 6 min read
How do AI detectors work? A plain-English guide to perplexity, burstiness, classifier models, watermarks and provenance — and where each one breaks.
Jul 6, 2026 · 8 min read
