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.

Today, Deepfake is ubiquitous. With the rise of generative AI, the amount of false content online has exploded. According to identity verification platform Sumsub, the number of Deepfakes globally has increased fourfold from 2023 to 2024. By 2024, Deepfake will account for 7% of all fraud incidents, involving everything from identity impersonation and account theft to complex social engineering attacks. To effectively combat Deepfake, Meta...

With the proliferation of deepfake technology, the amount of false content online has surged. According to data from the ID verification platform Sumsub, the number of deepfakes quadrupled from 2023 to 2024, accounting for 7% of all fraud in 2024. This includes various forms such as identity impersonation, account takeover, and complex social engineering attacks. To tackle this challenge, Meta has recently launched a new watermark tool - Meta Video Seal, aimed at helping with AI-generated content.

In recent years, with the rapid spread of digital content, watermarks have gained more attention as an important means of protecting image copyright. However, watermarks can often affect the aesthetics of images, limiting their use and shareability. Kaze.ai is a free online watermark removal tool that utilizes advanced artificial intelligence technology to help users easily remove watermarks and logos from images. Kaze.ai is incredibly easy to use; users simply need to upload an image or a link to the image, and they can quickly start the process of removing the watermark.

Recently, Google announced the open-sourcing of its text watermark tool SynthID, aimed at helping developers better identify AI-generated text. This tool is now publicly available through Google's 'Responsible AI Toolkit'. Pushmeet Kohli, Vice President of Research at Google DeepMind, stated that this technology will enable other generative AI developers to detect whether text outputs originate from their own Large Language Models (LLMs), which will help them be more responsible.

Hotshot has launched a brand new text-to-video AI generator that can produce videos up to 10 seconds long with a resolution of 720p. It supports various animation styles, such as comic book style and sketch style. This model features watermark-free output, diverse video styles, high adaptability, and scalability, trained on 600 million video clips, with the potential to extend to longer video durations and higher resolutions. Users can experience it for free on the official website, with a limited number of generations available each day. The Hotshot team completed this in four months.

OpenAI faces a challenge: how to address the issue of students using ChatGPT to cheat? Despite developing a 'watermark' technology capable of detecting ChatGPT-generated content with 99.9% accuracy, the tool has not been publicly released due to widespread concerns about student use of AI for cheating. Internal discussions have continued for nearly two years, with key factors hindering the release including the balance between maintaining transparency commitments and user loyalty, as well as worries about negative impacts on non-native English speakers. There is an urgent demand in the education sector, with concerns about the potential consequences of AI cheating.

There has been an internal discussion at OpenAI regarding the introduction of watermark technology to tag text generated by ChatGPT and prevent student plagiarism. The watermark technology generates detectable patterns by adjusting the words and phrases predicted by the model, aimed at assisting teachers in detecting assignment plagiarism without affecting text quality. Although the technology boasts high accuracy and is resistant to simple rewrites, the use of other models to rewrite could bypass the watermark, raising concerns. Implementing watermarks may cause some users to feel stigmatized, potentially leading to reduced usage.

Recently, The Wall Street Journal reported that the artificial intelligence company OpenAI has developed a tool capable of accurately identifying text generated by ChatGPT, but it has not yet been officially released. In response, OpenAI acknowledged that it is researching text watermarking technology but stated that the technology still faces numerous challenges.

With the rapid development of artificial intelligence technology, ensuring that the works of content creators are not illegally used has become a global concern. Recently, a group of bipartisan senators in the US Senate proposed a new bill called the COPIED Act, aiming to simplify the verification and detection of AI-generated content, and to protect journalists and artists from unauthorized use by AI models.Image Source Note: The image was generated by AI, provided by the image licensing servic

Recently, Meta quietly released six research achievements that bring new applications and technological breakthroughs to the field of AI. These include a multimodal model, a text-to-music generation model, audio watermarking technology, datasets, and several other projects. Let's take a closer look at these research achievements.

OpenAI's image generator DALL-E3 will add watermarks to the image metadata to support more companies in enforcing standards for content origin and authenticity. C2PA watermarks will appear on images generated by the ChatGPT website and the DALL-E3 model API. Users can check the source of any image generated by the OpenAI platform through websites like Content Credentials Verify. C2PA is composed of companies such as Adobe and Microsoft.

Digital watermarking combined with artificial intelligence accelerates the resolution of copyright infringement cases. Courts will obtain more evidence from the integration of digital watermarking and artificial intelligence. The use of more complex watermarks will lead to faster and more accurate solutions. Artificial intelligence can expedite the resolution of 3D printing copyright disputes and optimize processes before online copyright infringement hearings.

Google DeepMind has launched SynthID, an AI audio watermarking technology that is imperceptible to human ears. The audio watermark is used to identify the source of AI-generated content without affecting the listening experience. It can still detect the watermark in audio that has been compressed, accelerated, or slowed down, serving as an important safeguard against the potential hazards posed by generative AI. SynthID is a method that converts audio waves into a two-dimensional visualization.

Microsoft has released a digital watermark tool named Content Credentials as a Service, aimed at protecting political campaigns from the threats posed by deepfakes. The tool appends metadata including content creation time, method, creator, and more. Microsoft is collaborating with organizations to launch a reliable election information website on Bing and supports legislation banning AI-generated fake political ads. In addition to the digital watermark tool, Microsoft also offers cybersecurity protection and AI recommendations, establishing an election communication center.

As generative AI technology advances, it is becoming increasingly difficult to distinguish between AI-generated content and human-generated content. The debate continues on whether digital watermarking technology can help humanity regain control over content. Digital watermarking is seen as a method to establish and maintain trust in the AI era.

U.S. President Biden issued an AI executive order aimed at addressing challenges in the tech sector, one of which is how to distinguish the authenticity of images. The order calls for the development of digital watermark standards to help users identify genuine images and their owners. Experts indicate that digital watermarking is not the only solution to the misinformation problem and that there are risks of it being bypassed.

The development of AI technology has made generating deep fake images alarmingly easy, posing significant social risks. Research shows that existing digital watermarking technologies can be easily bypassed, making it difficult to curb the issues surrounding AI deep fakes. The misuse of AI could lead to widespread harms such as misinformation, fraud, and even election manipulation, warranting caution. Designing reliable digital watermarking technology remains a considerable challenge, though it is not an impossible task.

Researchers have found that all current watermarking techniques for AI-generated images can be easily bypassed. Digital watermarks can be removed or added to real images, resulting in false positives. Watermarking technology currently cannot reliably identify AI-generated images. Malicious actors can easily circumvent or manipulate the watermarks. Artists' works may be incorrectly labeled as AI-generated due to watermarking technology.