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.

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.

The Google Cloud Computing Conference focused on AI, launching multiple new products with an emphasis on generative AI. Google introduced the next-generation AI chip Cloud TPU v5e, which improves performance by 2 times and reduces costs by half. Google Cloud, in partnership with NVIDIA, launched the A3 virtual supercomputer, which enhances performance by 3 times and can scale up to tens of thousands of GPUs.