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It’s make or break time for AI labeling systems

If robust AI labeling was in place when these swagged out images of Pope Francis went viral, it may have been easier for people to tell they were fake. | Image: via Reddit We're about to find out if the systems designed to make deepfakes and AI-generated content easy to spot are actually up to snuff. SynthID and C2PA Content Credentials, two distinct technologies for invisibly tagging image, video, and audio files with information about their origins, are getting their biggest expansion to date,

Read at The Verge (AI) →
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Industry leaders share new perspectives on generative media for startups

Google for Startups has published a new report examining how early-stage companies are approaching generative media tools and workflows. The findings draw on perspectives from founders and industry figures navigating this space. The report aims to offer practical context for startups integrating AI-generated image and video into their products.

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Let us filter AI slop, you cowards

Content labels on AI-generated images and videos have become more common across major platforms, but critics argue that labeling alone is not enough. The Verge makes the case that YouTube, Instagram, TikTok, and others should go a step further and give users the ability to actively filter AI-generated content from their feeds. Without that option, labels function more as a disclosure footnote than a meaningful tool for audience control.

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DaVinci Resolve 21 Officially Released With New Photo Editing, AI Tools, and Much More

Blackmagic Design has shipped the final release of DaVinci Resolve 21, marking one of the most substantial updates the software has seen. The version adds a dedicated Photo page for still-image editing alongside a set of AI-powered tools spread across the editing, color, audio, and visual effects areas of the application.