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OpenAI recently announced four advisors to its new nonprofit board: renowned labor activist Dolores Huerta, Monica Lozano, CEO of the College Futures Foundation, Dr. Robert K. Ross, former CEO of the California Endowment, and Jack Oliver, a leader in government, technology, business, and advocacy. OpenAI stated that these four advisors will provide crucial guidance and support for the company's philanthropic endeavors. Image Note: Image generated by AI, image licensing provided by Midjourney.

In US cities and suburbs, felled trees often end up being chipped instead of being made into lumber. This frustrated Ben Christensen, who grew up in New Mexico with a family deeply rooted in the lumber industry – his father was a carpenter – instilling in him a deep respect for trees. Image Note: Image generated by AI, image licensing service Midjourney Christensen points out that the main reason for wood waste is...

A federal judge in the Southern District of Indiana, Mark D. Dinsmore, recently recommended a $15,000 fine for a lawyer who cited nonexistent court cases in legal filings. The incident has sparked widespread concern over the use of artificial intelligence in the legal field. The lawyer, Rafael Ramirez from Rio Hondo, Texas, used AI to generate the false case citations. The incident occurred in October 2024. (Image generated by AI, licensed through Midjourney).

The AI image detection system developed by Tencent's Hongyuan Security Team's Zhuque Laboratory can determine if an image is AI-generated within a few seconds by uploading the image and waiting for verification. The system primarily distinguishes between real images and AI-generated images by capturing differences, such as AI-generated images sometimes defying common sense logic, showing unrealistic content like dogs flying with wings or cats smoking cigars.

Recently, several users on social media platform X have claimed to earn 'thousands of dollars' by posting fake information related to the US elections, AI-generated images, and various unfounded conspiracy theories. These users often share each other's content online, retweeting multiple times a day to increase their exposure and revenue. A BBC investigation found that these users have formed networks consisting of dozens of accounts that interact with each other, sharing a mix of true and false information with the aim of boosting their presence on the platform.

A recent study proposed a new method that leverages human attention to enhance the quality of AI-generated images. This method uses a saliency detector to identify the most important areas in the image and prioritizes the generation of these areas. Traditional image generation methods optimize the entire image uniformly, whereas the new method identifies and prioritizes more 'important' regions, similar to human attention. This approach can improve image quality and fidelity to textual prompts. Researchers utilized stable diffusion models and saliency detectors to generate images, and

With the continuous advancement of artificial intelligence technology, the difficulty of forging images and videos has decreased significantly, making the deepfake phenomenon increasingly severe. Identifying these false contents has become an urgent issue to address. Recently, a research team from Binghamton University conducted an in-depth discussion on this topic, using frequency domain analysis techniques to reveal the characteristics of AI-generated images, thus helping people identify false information. Image source note: The image is AI-generated, with permission from image licensing provider Midjourney. This research was conducted by the Department of Electrical and Computer Engineering.

Apple's upcoming iOS 18 features various AI functionalities, including SMS rewriting, email summarization, and object recognition in photos. Notably, the 'Image Playground' creates cartoon-style illustrations from text prompts, with Bailey, the dog of Apple SVP Craig Federighi, as the first AI-generated image subject. Other practical AI tools are also included, but they are currently limited to the beta version.....

As the realism of AI-generated images increases, people begin to question the authenticity of videos. A video released by 'Quantum Bit' on Bilibili discusses how to identify AI-produced videos, triggering widespread interest. The video introduces some intuitive recognition methods, such as observing whether characters' movements and expressions are natural, as well as the coordination of voice, mouth shapes, and emotions. In the face of a vast number of videos, AI recognition technology becomes crucial. The traces left by AI face swapping technology during the splicing process serve as important clues for AI recognition. The research team developed classifiers from dimensions such as models, motion, and geometry.

A research team from Fudan University has developed the 'Concept Erasure Technique' (RECE), which can efficiently and accurately modify inappropriate ideas in AI models, significantly reducing the likelihood of generating inappropriate images while maintaining the AI's other creative capabilities. This technology uses a 'closed solution' to locate and modify specific parts, ensuring the AI behaves more appropriately during creation and stays on track. Experiments show that the RECE technology can effectively enhance the morality and quality of AI creations, providing new directions for the future development of AI, making future AI assistants smarter and more perceptive.

Former President Trump shared an AI-generated image of Taylor Swift supporting him on the social media platform Truth Social, claiming he was not involved in its creation. One image depicted Taylor Swift as 'Uncle Sam,' accompanied by a slogan supporting Trump. Trump stated he was unaware of these images and that they were generated by others. He further indicated that AI technology could pose dangers and seemed confused about the origins and content of these images. This action came after he previously accused Vice President Kamala Harris of using AI to create fake images.

Zomato, a major food delivery platform in India, announced a ban on the use of AI-generated food images on restaurant menus to safeguard customer trust and reduce complaints, refunds, and declines in ratings. CEO Deepinder Goyal emphasized that starting this month, the platform will remove AI-generated images and encourage restaurants to use professional photography services with cost price support. Zomato plans to utilize automation technology to detect and reject the upload of AI images. At the same time, the marketing team has also prohibited the use of such images in promotional materials. Despite taking a strong stance,

According to reports, TIME Magazine recently announced a partnership with artificial intelligence companies OpenAI and ElevenLabs. This move demonstrates TIME Magazine's strong confidence in AI technology.

Artificial Intelligence (AI) generated images have triggered a revolutionary change in the field of architectural design, providing architects with the flexibility to produce highly complex and imaginative designs. However, in areas involving culture, sensitivity, and religion, such as Islamic architecture, AI-generated depictions often fail to accurately present historical Islamic elements and their interpretations, according to a study published in the journal 'Buildings'.

Midjourney founder David Holz emphasizes that AI is not meant to replace artists but to expand human imagination. The platform helps users quickly generate ideas and provides concept design support for professional users. The development of AI technology will drive the market towards higher quality, creativity, and diverse content. The future impact on artists remains to be seen, but respecting copyright laws is crucial. AI technology, as a supportive tool, can enhance creative efficiency but cannot replace the unique creative abilities of artists.

Meta has announced that it will label AI-generated images on Facebook and Instagram to help users distinguish between real and false information. The company is collaborating with the industry to establish technical standards, expanding the initiative to videos and audio in response to the issue of false content. This initiative has garnered attention, and the labels will be gradually rolled out, covering major global elections, with an effort to identify false content. Technology industry partners are working together to create authenticity standards for content and promote the implementation of digital watermarking.