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博主批评 Pangram 新推出的 Gmail 集成功能，指出用 AI 检测结果自动过滤邮件（甚至直接送入垃圾箱）是危险的做法，因为检测只能判断是否使用 AI，无法判断邮件质量，会误伤大量合法邮件。
An author tests Pangram's AI-detection accuracy after a French literary controversy, finding that short samples flagged paragraphs as AI while the full chapter scored 100% human, raising questions about false positives with short inputs.
A ParaTrace developer shares a head-to-head comparison of two AI-text detectors (ParaTrace v7 vs Pangram 3.3.2/4) on pre-LLM 2022 papers versus 2025 papers, finding no false positives on 2022 texts but significant disagreement on 2025 papers, and benchmarking ParaTrace against Pangram's public test sets.
The author fact-checks their previous post on NeurIPS 2026 position track decisions and Pangram AI detection, correcting earlier errors and providing updated benchmarks and reports.
The article discusses an incident where David Sacks' tweet was detected as AI-generated by Pangram, sparking debate about AI detectors, and includes an experiment using an LLM to mimic human writing.
A user comments that you could hook Codex up to the Pangram API to rewrite text until it passes a human evaluation.
Substack launches a new AI detection tool powered by Pangram that lets users see whether newsletters were written by AI, aiming to boost transparency and trust on the platform.
Substack integrates a Pangram-powered AI detection tool that lets readers scan posts for AI-generated text, alongside a new 'How I make this' disclosure feature for writers.
A study by AI detection company Pangram found that 41% of longform posts on LinkedIn are fully AI-written, with X at 25%, while Reddit and Substack show much lower rates around 10%, highlighting platform differences in AI content prevalence.
Pangram Labs explores the internal representations of its AI detection model Pangram 3.3.2, analyzing how the model distinguishes human vs AI text across layers using a balanced dataset of 5,000 documents from various sources.
Pangram, a tool for detecting LLM use, reveals that many academics do not understand the difference between false positives and false negatives.