UK retail giant Marks & Spencer (M&S) is leveraging artificial intelligence technology to provide customers with personalized clothing recommendations based on body shape and style preferences, aiming to enhance online sales. Customers fill out a questionnaire, and the system offers outfit suggestions from a wide range of options, while AI technology adjusts the communication style to match different preferences. M&S Online Business Director Stephen Langford stated that this initiative aims to accelerate the shopping process, allowing each customer to find products that meet their needs faster.

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.

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.

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, OpenAI has been actively applying for trademarks for GPT-6 and GPT-7 in China, indicating its confidence in the global development of artificial intelligence. The 1 trillion parameters of GPT-4 have raised expectations, and GPT-6 and GPT-7 are anticipated to bring more innovations, with trademarks currently under review. OpenAI CEO Sam Altman is focusing on the development of GPT-5, seeking additional funding from Microsoft, while emphasizing the importance of ethics in artificial intelligence. The company is committed to advancing large language models, demonstrating its responsibility and innovation in AI technology.

OpenAI has applied for trademarks 'GPT-6' and 'GPT-7', currently pending substantive examination. OpenAI's CEO revealed that they are developing GPT-5, and the company is calling for the collection of large-scale datasets. After the completion of GPT-5 training, it may not be directly available to the public.

Beijing Youzhuju Network Technology Co., Ltd., a subsidiary of Douyin, has applied for multiple AI-related trademarks, including 'Xingyan AI', 'Jianyong AI', and 'Wenwen Zigong'. These trademarks are categorized internationally under scientific instruments, education and entertainment, and design research, indicating that Douyin's development strategy in AI technology is accelerating. Douyin may face direct competition from other AI companies.

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.

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.

The first domestic large model specifically designed for mathematics, MathGPT, with hundreds of billions of parameters, is officially launched. It surpasses GPT-4 in multiple benchmark tests, setting new SOTA records. MathGPT's mathematical computation capabilities cover math problems from elementary school to high school, including various types such as computation problems, application problems, and algebra problems. MathGPT can achieve higher accuracy in solving problems and can explain answers more clearly and communicate them more effectively, better meeting the core needs of users who use AI products to answer math questions.