New AI classifier for indicating AI-written text

External

OpenAI's AI Text Classifier was a free tool designed to detect AI-generated text by distinguishing it from human-written content through probability scores. Trained on outputs from multiple AI models, it offered a simple paste-and-check interface for quick assessments. Though innovative, it was discontinued in July 2023 due to low accuracy rates, including only 26% true positives for AI text and notable false positives. It remains a historical benchmark in AI detection efforts, best for casual, supplementary use rather than critical decisions.

CategoryAI Detection & Anti-Detection
New AI classifier for indicating AI-written text

Description

OpenAI's AI Text Classifier was a free tool designed to detect AI-generated text by distinguishing it from human-written content through probability scores. Trained on outputs from multiple AI models, it offered a simple paste-and-check interface for quick assessments. Though innovative, it was discontinued in July 2023 due to low accuracy rates, including only 26% true positives for AI text and notable false positives. It remains a historical benchmark in AI detection efforts, best for casual, supplementary use rather than critical decisions.

Key capabilities

  • Distinguishing AI-written text from human-written text
  • Providing probability scores for text origin classification

Core use cases

  1. 1.Quick informal checks on text authenticity
  2. 2.Supplementary tool in multi-detector workflows
  3. 3.Educational exploration of AI detection limitations

Is New AI classifier for indicating AI-written text Right for You?

Best for

  • Casual users for quick, informal text checks
  • Users seeking free supplementary AI detection insights

Not ideal for

  • Educators or high-stakes decisions due to inaccuracy
  • Non-English text, code, or short content analysis
  • Reliable detection needs given discontinuation and evasion risks

Standout features

  • Free and accessible to anyone
  • Intuitive paste-and-check user interface
  • Nuanced probability labels (likely AI-written, possibly AI-written, etc.)

User Feedback Highlights

Most Praised

  • Free and easy to use
  • Intuitive interface for rapid checks
  • Nuanced results beyond binary classification
  • Useful as a complement to other detectors

Common Complaints

  • Low true positive rate (26% for AI text)
  • False positives on human text (9%)
  • Easily evaded by minor edits to AI text
  • Discontinued by OpenAI due to unreliability
  • Poor real-world performance vs alternatives