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Pangram releases Pangram Image 1.0, which it says is state-of-the-art in AI image detection, and Image Flash 1.0, which powers its AI video detection (Isaac Kasahara/Pangram)

State-of-the-art AI image and video detection with our latest Pangram Image models. … A few months ago, we released Pangram Image as a research preview.

Pangram has unveiled Pangram Image 1.0, a state-of-the-art AI image detection tool, as well as Image Flash 1.0, which enables its AI video detection capabilities. The new image detection model has reached impressive accuracy of 99.96%, according to tests conducted against various commercial and academic AI image detectors. To ensure robustness, it was trained to detect AI edits such as compression, downscaling, blur, noise, and other artifacts commonly used to trick AI detectors.

The minimum image input resolution has been lowered from 512x512 to 256x256, allowing the model to maintain accuracy at lower resolutions. Pangram Image Flash 1.0, a faster model, demonstrates exceptional performance in frontier AI video detection, scoring 98.7% on the DF26 academic study, outperforming other detectors by 29 points.

To evaluate its performance, Pangram generated synthetic mirrors of 100 real social media videos using 14 different frontier video generators. The new Pangram Image Flash 1.0 analysis can detect AI-generated content frame by frame, providing a comprehensive analysis of AI-detected parts of the video. Pangram has now integrated Image 1.0 into its Chrome extension, enabling real-time AI content flagging while browsing various websites.

In addition, Pangram released Pangram Image 1.0 and Flash 1.0 as part of its updated API, supporting both image and video detection. The company encourages the community to utilize these powerful models for AI content detection. Furthermore, Pangram introduced Pangram 4, an advanced AI text detection model, which has been found to be the most robust AI text detector by researchers from the University of Houston, UC Berkeley, UC Irvine, and Esperanto AI.

Written by urgent.news from Techmeme's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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