Tags: watermarking

ByteDance is re‑launching its AI video model, Seedance 2.0, after a backlash over deepfake content. The company has partnered with a third‑party red‑team to embed visible watermarks, C2PA Content Credentials, and an advanced invisible watermark that can track content even after it leaves the platform. New safeguards block generation from real faces and copyrighted characters, addressing concerns raised by Hollywood studios and the Motion Picture Association. The rollout will start with paid users in Brazil, Indonesia, Malaysia, Mexico, the Philippines, Thailand and Vietnam, while the United States and India are omitted pending regulatory clarity. Lire la suite

Generative AI is producing a flood of low‑quality, repetitive content—dubbed “AI slop”—that now dominates social‑media feeds and academic publishing. Creators such as Rosanna Pansino are responding by recreating AI‑generated videos with real‑world skill, while platforms, researchers, and regulators explore labeling, watermarking, and new policies to curb the spread. The battle pits human creativity against automated content machines, highlighting concerns about misinformation, deepfakes, and the future of authentic online experiences. Lire la suite

Google has added a tool to the Gemini app that lets users ask whether an image was created or edited by a Google AI model. The feature currently works for images and relies on Google’s SynthID watermark, with plans to expand to video, audio and broader industry‑wide C2PA credentials. Google also announced that images from its Nano Banana Pro model will carry C2PA metadata. TikTok has confirmed it will use C2PA metadata for its own invisible watermarking, signaling wider adoption of AI‑content verification standards. Lire la suite

AI slop describes a wave of cheap, mass‑produced content created by generative AI tools without editorial oversight. The term captures how these low‑effort articles, videos, images and audio fill feeds, push credible sources down in search results, and erode trust online. Content farms exploit the speed and low cost of AI to generate clicks and ad revenue, while platforms reward quantity over quality. Industry responses include labeling, watermarking and metadata standards such as C2PA, but adoption is uneven. Experts warn that the relentless churn of AI slop threatens both information quality and the health of digital culture. Lire la suite