# copyright
Latest news and articles about copyright
Total: 5 articles found
Douyin Tightens Rules Around Seedance 2.0: Real‑ID Required and IP Generation Blocked as Anti‑Infringement Becomes Priority
Douyin’s executive confirmed Seedance 2.0 is live for testing but requires real‑person verification and blocks creation using real‑person facial references or recognised IP characters. The company says its largest recent internal effort has been strengthening anti‑infringement measures and solicits user reports to remove problematic content. The moves reflect broader tensions between rapid AI innovation, copyright protection and regulatory scrutiny.
Seedance 2.0: China’s Groundbreaking AI Video Engine That Both Liberates and Alarm
Seedance 2.0, a Chinese generative video model, can produce hyper-realistic footage by integrating image, motion, audio and text, lowering the barriers to making sophisticated video. Its realism has sparked copyright backlash and deepfake concerns even as China’s large user base, open-source releases and supportive AI policy accelerate development and adoption.
ByteDance’s Seedance 2.0 Turns Everyone into a Director — and Terrifies Filmmakers
ByteDance’s Seedance 2.0 is a generative video model that creates multi-shot, 2K-quality sequences with synchronized audio from mixed media inputs and text prompts. Its release has provoked excitement over reduced production costs and creative possibilities, alongside sharp concerns from filmmakers, legal experts and market observers about job disruption, copyright and platform concentration.
Paying to Be Judged: Can AI Rescue China’s Fading KTV Scene?
China’s KTV chains are deploying AI scoring, coaching and synthetic music videos to revive a shrinking industry, with major investments from leading operators. The technology attracts customers with gamified rewards and cost-saving AI MVs, but it also provokes backlash over cold, intrusive judging, diminished emotional experience and ways for users to game the system.
Feeding the Machine: How AI’s Rise Depends on Low‑paid Labor and Vast Natural Resources
James Muldoon’s reporting reframes generative AI as a large‑scale extraction system that depends on low‑paid labour, unconsented creative material and vast energy and water resources. The phenomenon deepens global labour competition, concentrates managerial control, and risks reproducing Western cultural biases unless regulated.