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Pangram releases the Image 1.0 and Image Flash 1.0 detection models

4 reports4 story updatesUpdated Nov 5 19:00

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On November 4, 2026, Pangram released two computer vision models: Pangram Image 1.0 for detecting AI-generated images, and the smaller and faster Pangram Image Flash 1.0 for frame-by-frame analysis of AI video. According to a report by Unite.AI, the company claims that Image 1.0 can identify 99.2% of AI-generated images with a false positive rate of 0.27%, and achieves 99.96% accuracy on the company's own set of 1,200 synthetic images; Flash 1.0 scores 98.7% on the DF26 benchmark, 29 points higher than the next-best detector. This update also adds heatmap output, native video upload, Chrome extension integration, and image and video API support, with the minimum input reduced to 256×256 pixels; images below 512 pixels come with a low-confidence warning. A report by heise online on the same day noted that the above accuracy figures have not been independently verified.

AI-generated from public reports

Latest development · Report

SpaceXSI Launches Phone Call Delegation Feature for Grok Bot

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  1. Pangram releases two AI image and video detection models

    Source:Unite.AI

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Browse reports and discussion by time. Their evidence levels remain distinct.

Nov 5

  1. The Rundown AI

    SpaceXSI Launches Phone Call Delegation Feature for Grok Bot

    SpaceXSI has launched a phone feature in its AI agent platform Grok Bot, enabling it to wait on hold, make appointments, and negotiate prices on U.S. numbers on users' behalf, with users bearing legal responsibility for each call. If the other party asks a question beyond the bot's capabilities during a call, the user receives a message and types a reply to be relayed, while also being able to view a live transcript; the bot identifies itself as a virtual assistant, and calls are made through a temporary number within the platform. Early examples include negotiating with Comcast and ordering pizza.

  2. heise online

    Pangram Labs releases Pangram Image 1.0 and Image Flash 1.0, used to identify…

    Pangram Labs launches two detection models, Pangram Image 1.0 and Image Flash 1.0, used to identify AI-generated images and videos. Image 1.0 adds a Heatmap to mark AI-generated regions in images, lowers the minimum resolution from 512×512 to 256×256, and is available via an extended API and a Chrome extension; Flash 1.0 analyzes videos frame by frame to locate segments containing AI material. Pangram claims that Image 1.0 achieves 99.96% accuracy on its self-built dataset and that Flash 1.0 reaches 98.7% on DF26, but these figures have not been independently verified.

  3. Unite.AI

    Pangram Releases Image 1.0 and Image Flash 1.0, Two AI Image and Video Detection Models

    On November 4, 2026, Pangram released two computer vision models: Pangram Image 1.0 for detecting AI-generated images, and the smaller and faster Pangram Image Flash 1.0 for frame-by-frame analysis of AI video. The company claims Image 1.0 can identify 99.2% of AI-generated images with a false positive rate of 0.27%, and achieved 99.96% accuracy on its in-house set of 1,200 synthetic images; Flash 1.0 scored 98.7% on the DF26 benchmark, 29 points higher than the next-best detector. The update also adds heatmap output, native video upload, Chrome extension integration, and image and video API support, with the minimum input lowered to 256×256 pixels; images below 512 pixels come with a reduced-confidence warning.

Nov 4

  1. Hacker News Trending

    Pangram Releases Image 1.0 and Image Flash 1.0, Supporting Image and Video AI Detection

    Pangram has released the AI image detection models Pangram Image 1.0 and the faster Pangram Image Flash 1.0, with the latter focused on AI video detection. The company claims that Image 1.0 achieves 99.96% accuracy on 1,200 synthetic mirrors generated by 12 frontier image generators, and adds heatmap localization, robustness to editing, compression, and low resolution, with the minimum input resolution reduced from 512x512 to 256x256; Flash 1.0 scores 98.7% on the DF26 benchmark, 29 points higher than the next-best detector, and supports frame-by-frame video analysis as well as Chrome extension and API access.

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