Daniel Francis, who gained unexpected fame for posing as a Twitter employee, has now transformed into the founder of a law enforcement AI startup. His company, Abel, focuses on using artificial intelligence technology to assist police in filling out reports, thereby saving police resources. Francis once accompanied an officer on patrol during a research project. During a thrilling chase, he witnessed firsthand the significant amount of time and effort required for police to fill out reports, which deeply moved him. He realized that AI could...

Recently, Google announced a new feature in its search results aimed at helping users better understand how content is created and modified. This initiative follows Google's joining of the Content Provenance and Authenticity Alliance (C2PA), which includes major brands like Amazon, Adobe, and Microsoft, all dedicated to combating online misinformation. Google stated that this new feature will be gradually rolled out over the coming months, using current content credential standards (i.e., image metadata) to label AI-generated or edited images in search results.

The National Internet Information Office recently released the 'Measures for Labeling AI-Generated Synthetic Content (Draft for Comments)', aimed at regulating the labeling of AI-generated synthetic content, safeguarding national security and public interests, and protecting the legitimate rights and interests of citizens, legal persons, and other organizations. This measure is formulated based on the 'Cybersecurity Law of the People's Republic of China', 'Regulations on the Administration of Algorithms for Internet Information Services', 'Regulations on the Administration of Deep Synthesis in Internet Information Services', and the 'Interim Measures for the Administration of Generative Artificial Intelligence Services', among other laws and regulations. The deadline for feedback is the 20th.

Recently, Meta announced that it will adjust the way it labels AI-edited content on Instagram, Facebook, and Threads. This change means that the 'AI Information' label indicating whether content has been edited by AI tools will be moved from below the username to the post menu. Previously, users could easily see this label below the username, but now they will need to click the menu to find it. However, Meta also stated that content generated entirely by AI will still be labeled.

Three tech giants, OpenAI, Adobe, and Microsoft, have united to support California's AB3211 bill, which requires tech companies to add labels to generated content to help identify works created by artificial intelligence (AI). Key provisions include adding watermarks in the metadata of AI-generated photos, videos, and audio clips, and large online platforms are required to label AI-generated content in a way that is easily understood by the general audience. This bill aims to address issues of information sourcing and enhance public understanding and trust in AI technology.

AutoAlign is an innovative knowledge graph alignment method designed to address the entity recognition challenges of different knowledge graphs. It constructs predicate proximity graphs using large language models to automatically identify similar predicates, achieving entity alignment between knowledge graphs. Without the need for manual seed alignment, it significantly enhances alignment efficiency and accuracy through predicate alignment, entity alignment, and a joint learning mechanism. In entity alignment tasks, AutoAlign outperforms existing methods and shows potential in applications such as knowledge graph completion.

Meta has taken a significant step towards improving the efficiency of artificial intelligence. The tech giant released a pre-trained model this Wednesday, utilizing a novel multi-token prediction method (multi-token-prediction) that could potentially change the way large language models (LLMs) are developed and deployed.Project Entry: https://top.aibase.com/tool/multi-token-prediction This new technology was first proposed in a research paper by Meta in April this year, differs from the traditio

YouTube launched a generative AI feature last year that can create music in the style of well-known artists like Charli XCX, John Legend, and T-Pain. Now, the video platform is seeking agreements with major record labels to allow it to replicate more musicians.

Several photographers have complained that Meta incorrectly added the 'Made with AI' label to their real photographs. Over the past few months, several photographers have shared examples, with the most recent being Meta labeling a basketball game photo taken by former White House photographer Pete Souza as AI generated.

Several major record labels have jointly sued two AI startups, accusing them of using copyrighted music without permission to train their music generation models, resulting in audio that infringes on commercial copyrights. The lawsuit was coordinated by the Recording Industry Association of America (RIAA) and involves the defendants Uncharted Labs, which developed Udio, and Suno, based in Massachusetts.

Researchers from Nanjing University and Megvii Research Institute have collaborated to bring a revolution to visual large models. Their proposed unsupervised paradigm, SeVa, successfully addresses the preference alignment issue of visual language models, and the entire process does not require the involvement of humans or GPT-4, significantly reducing alignment costs.

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.

🤖 Trends in Large Model Applications: The article mentions that large models have evolved from model development to application innovation. 🔍 Trends in Content Generation Regulation: The article notes that major tech companies are actively developing various watermarking systems to label AI content and increase transparency. 💻 Adobe's Technological Innovation: The article highlights that Adobe is embedding a new symbol into products like Photoshop and Premiere to promote the labeling of AI-generated content.

TikTok's latest initiative: introducing AI-generated content labels. The label requires creators to use it to inform viewers that the content is produced by AI. There are plans to rename filters and effects that use AI tools to enhance recognizability. This move aims to boost content transparency and maintain the quality of the platform's content. User experience will therefore be improved.