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Meta has recently launched a new neural watermark system called VideoSeal, designed to help identify AI-generated videos, even if the videos have been edited, it can effectively trace their origin. This watermark is invisible to viewers but can be verified through detection methods to confirm the video's authenticity. Meta has released the entire system as open source software under the MIT license, including the VideoSeal watermark model, research papers, and training and inference code.

Alibaba's Intelligent Computing Research Institute has launched the Animate Anyone technology, capable of turning static images into highly realistic dynamic videos. The technology improves image-to-video systems, addressing hallucination issues, but challenges remain in processing eye and hand movements. Despite advancements, there are concerns over misuse, as personal photos could be used to create fake videos, potentially leading to the spread of misinformation. The team is actively preparing the code for demonstration and public use, but they are worried about the risk of misinformation as the number of fake videos increases. Will the internet face a 'dance forgery' craze in the future?

An analysis in 2023 revealed that the vast majority of online deepfake videos are pornographic, with a 550% increase since 2019. Pornographic deepfake content accounted for 98% of all deepfake videos, with 99% of the victims being women. South Korea has become a major victim of deepfake pornographic content, partially attributed to the popularity of K-pop.