Pangram v4 Model Claims to Remove AI Watermarks and Mimic Human Writing
Scobleizer · x · 2026-08-21
The author released Pangram v4, an LLM designed to remove "AI slop" by mimicking human writing patterns. Notably, it claims to strip the newly introduced statistical watermarks from Claude-generated text. Across the author's evaluation set, the model classified every output as human-written while maintaining high quality. A demo is available for testing.
More from Models
- NVIDIA Details Qwen3.8-2.4T Deployment on GB300, Achieving >4K Tokens/s per GPU — PyTorch · 2026-08-21
- Tutorial: Training a local LLM on a new domain via continued pretraining — funJS · 2026-08-21
- Qwen 3.8 27B two-shots a playable 3D amusement park game in the browser — RandumbRedditor1000 · 2026-08-21
- Zhipu's SAO: single-rollout async RL trains stably for 1,000 steps, beats GRPO — teortaxesTex · 2026-08-21
- Gemini's Safety Filters Too Strict? Rejects Kissing and Roadside Photos — Dry-Sympathy-3182 · 2026-08-21
- 0.63M Parameter Verifier Matches 7B Models in Specific Tasks — jm_alexia · 2026-08-21