HemingwayAI model passes AI detectors 90% of the time in tests
A new model from an unnamed AI lab claims to evade detection 90% of the time, according to tests shared on Reddit. The model passed GPTZero 9 times in 10 and outperformed human writing in some categories, the lab reports. It was tested on 1,848 texts across 13 writing types, including product descriptions, blog posts, and emails, with no retries or edits. Real human writing passed detectors 86%…
Key points
- Model passes AI detectors 90% of the time, outperforming human writing in some tests
- Available via app, API, and open weights for non-commercial use under CC BY-NC 4.0
- Tests included 1,848 texts across 13 writing types, with no retries or edits
The lab says the model is open-weight and free for non-commercial use under CC BY-NC 4.0. It is available as the default in a Mac, Windows, and Android app, as well as via an OpenAI-compatible API. The lab also provides code for local inference and fine-tuning. Commercial use requires a separate agreement, per the lab’s contact email.
HemmingwayAI/Hemmingway-1.5 (Qwen finetune)
huggingface.co · 29 October 2026
Loading the full article…
This text was published by huggingface.co. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗
Coverage and discussion
1source- Reddit discussionreddit.com
The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.
More in Generative AI & Models
All →- Google announces Gemini 4 Carbon and Genie 4 models with staged rollout for cyber defenders · 4 src
- OpenAI’s Ted Sanders explains model naming and size’s role in LLM performance · 1 src
- OpenAI and Anthropic cut AI model prices by up to 80% amid rising competition from open-weight models · 7 src
- Ggml-org/llama.cpp merges PR #31283 adding video input for LFM3 models · 2 src
- Deepseek V4.1 Flash: 1,286 tokens/sec · 1 src
Comments
via GitHub Discussions