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Research reveals scholars from 8 countries embedded hidden AI prompts in papers to influence reviews. 17 CS papers used white text/tiny fonts to request 'positive evaluations' from AI reviewers, raising academic integrity concerns.....

A GitHub open-source project named "system-prompts-and-models-of-ai-tools" has gained significant traction, accumulating 30.5K stars and becoming a popular resource for AI developers and researchers. This project, according to AIbase, compiles system prompts and model configurations for 9 mainstream AI tools, encompassing over 6500 lines of content and covering v0, Cursor, Manus, Same.dev, Lovable, Devin, and Rep.

According to Legal Daily, the Suzhou Intermediate People's Court in Jiangsu Province recently issued a final ruling in a copyright dispute over AI-generated images. The court ruled that the images of the "Illusion Wings Transparent Art Chair" series, generated by plaintiff designer Feng Moumou using AI software, do not constitute works in the sense of copyright law. The court therefore rejected Feng's lawsuit against the defendants, Zhu Moumou et al., for infringement. Plaintiff Feng Moumou created a series of art chair images using an AI image generation software and published them on social media seeking mass production cooperation. Defendant Zhu Moumou contacted the plaintiff seeking cooperation but was refused. Afterwards...

On March 13th, the AI interaction platform Chat Playground received a major update and was officially renamed Prompts Playground. According to the official announcement, this upgrade not only involves a name change but also a complete redesign of the platform, aimed at improving user experience and helping users more efficiently test, compare, and iterate prompts. The new Prompts Playground introduces several useful tools, including Web search integration and more.

Zhihu AI has officially released CogView4, its latest open-source text-to-image model. Boasting 600 million parameters, CogView4 notably supports both Chinese and English prompts and text-to-image generation, making it the first open-source model capable of generating Chinese characters within images. Its key feature is its support for bilingual prompts, excelling at understanding and following complex Chinese instructions, a boon for Chinese content creators. As the first open-source text-to-image model to generate Chinese characters in images, it fills a significant gap in the open-source landscape.

Zhipu has released CogView4, a groundbreaking open-source image generation model that excels at understanding and responding to Chinese prompts. Users can now generate images using Chinese characters and phrases, marking a significant advancement in multilingual AI image generation.

Lovable, a Swedish startup, has raised $15 million in funding to develop its platform that allows users to build applications using prompts without any coding experience.

PhotoDoodle, a novel AI image editing system developed by ByteDance in collaboration with research teams from universities in China and Singapore, is redefining our understanding of image creation. This innovative technology, based on the Flux.1 model, can learn artistic styles from a small number of samples and accurately execute specific editing instructions, opening up new possibilities for creative expression. Built upon Flux.1, PhotoDoodle's core is the OmniEditor system, initially developed by the research team. It cleverly utilizes LoRA (Low-Rank Adaptation) to...

Recently, a tool called Ready AI has been gaining significant attention in the design community. The remarkable feature of this tool is that users can generate professional-level web interfaces in just 30 seconds by inputting text commands. With Ready AI, users have more control over their desired UI. Unlike similar products, Ready AI supports real-time preview and version comparison features, demonstrating incredible efficiency in design testing for social media platforms and e-commerce websites. Ready AI offers various framework options, such as HTML.

Recently, researchers proposed a new method called NeuralSVG, aimed at generating vector graphics from text prompts. This innovative technology will provide artists and designers with more flexible and efficient tools to create high-quality visual content. Compared to traditional vector graphic generation methods, NeuralSVG not only generates graphics with multi-level structures but also allows users to make various dynamic adjustments during the generation process. The core of NeuralSVG lies in its implicit neural representation, achieved through a compact multi...

Recently, Adobe's research team collaborated with researchers from the University of Michigan to develop an artificial intelligence system called MultiFoley, which generates sound effects for dubbing in films and videos, assisting in post-production. The innovation of MultiFoley lies in its ability to allow users to create sound effects through text prompts, reference audio, or video examples. In demonstrations, the system can even transform a cat's meow into a lion's roar, or convert the sound of a typewriter into piano notes, perfectly synchronized with video footage.

Recently, a research team from the Beijing Academy of Artificial Intelligence launched a new image generation model called OmniGen. Unlike previous tools such as Stable Diffusion, which focused on a single task, OmniGen's biggest highlight is its multi-capability: it can handle a variety of image generation tasks within a unified framework, including text-to-image generation and image editing, making it a versatile player. This means that users only need to provide simple prompts.

In the context of the rapid development of AI technology, prompt engineering has become a critical skill. By cleverly designing prompts, users can guide AI to better understand human intentions and improve the accuracy of AI responses. However, this process poses significant challenges for average users. To address this issue, a team of scientists from Peking University and Baichuan Technology has jointly developed the PAS (Prompt Augmentation System), an intelligent prompting enhancement system based on large language models. PAS improves data utilization, compatibility, and flexibility.