Meta is announcing wider availability of its generative AI chatbot, “Meta AI,” to all WhatsApp, Facebook, Messenger, and Instagram users in India today. The company had initially deployed the chatbot in April for testing with select users. Meta AI is powered by Meta’s latest Llama 3 large language model. It is currently available only in English. Meta has integrated it directly into WhatsApp group chats, so it can for instance recommend restaurants for your next outing. Meta AI is available on the web as well where it can help create a multiple-choice test for study practice, so on and so forth. Meta AI’s capabilities extend beyond WhatsApp and web. As you scroll through your Facebook Feed, Meta AI is there to enhance your experience. If you come across an intriguing post, you can ask Meta AI for more information directly from the post. One standout feature of Meta AI is its text-to-image generation, activated by using the word “imagine.” Whether in a direct interaction or a group chat, you can create and share images effortlessly. This “Imagine” feature allows you to spark creativity, enabling you to design a custom invite for your child’s birthday party or collaborate with friends to create fun, […]
Meta unveiled a set of new generative artificial intelligence (AI) features for advertisers Tuesday (May 7), including image and text generators that speed up creative production. The offerings address a demand among marketers for a greater sense of control in their AI experiments and a guarantee that the results will meet what are often specific internal brand guidelines, like ensuring the correct colors are present in ads. Striking the right balance with generative AI is important for Meta to build confidence in a technology the Instagram and WhatsApp owner believes is key to future growth but that has fallen into complex ethical and legal tangles. “Part of the answer for how to grow [generative AI] adoption is making sure it’s not just a black box but you also have the right levels of control,” said John Hegeman, vice president and head of monetization at Meta, during the Q&A portion of a presentation to reporters. “Brand guidelines are an area where brands are going to continue to have a lot of specific preferences and not want those to be violated.” Meta’s image generator at launch only spits out image variations based on assets that the advertiser submits rather than working off of text […]
Meta is testing Meta AI, its large language model-powered chatbot, with WhatsApp, Instagram, and Messenger users in India and parts of Africa. The move signals how Meta plans to tap massive user bases across its various apps to scale its AI offerings. The company recently began testing the AI chatbot, until now available in testing in select markets including the U.S., with some users in India, many of them said. India, home to more than 500 million Facebook and WhatsApp users, is the social giant’s largest market. Meta confirmed the move in a statement. “Our generative AI-powered experiences are under development in varying phases, and we’re testing a range of them publicly in a limited capacity,” a Meta spokesperson told TechCrunch. Meta unveiled Meta AI, its general-purpose assistant, in late September. The AI chatbot is designed to answer user queries directly within chats as well as offer them the ability to generate photorealistic images from text prompts. Instagram and WhatsApp’s massive global user base, boasting billions of monthly active users, presents Meta with a very unique opportunity to scale its AI offerings. By integrating Meta AI into WhatsApp and Instagram, the Facebook-parent firm can expose its advanced language model and image […]
Facebook owner Meta META.O announced major changes to its policies on digitally created and altered media on Friday, ahead of U.S. elections poised to test its ability to police deceptive content generated by new AI technologies. What gets labelled? The social media giant will start applying “Made with AI” labels in May to AI-generated videos, images, and audio posted on its platforms, expanding a policy that previously addressed only a narrow slice of doctored videos, Vice President of Content Policy Monika Bickert said in a blog post. Bickert said Meta would also apply separate and more prominent labels to digitally altered media that poses a “particularly high risk of materially deceiving the public on a matter of importance,” regardless of whether the content was created using AI or other tools. The new approach will shift the company’s treatment of manipulated content. It will move from one focused on removing a limited set of posts toward one that keeps the content up while providing viewers with information about how it was made. Meta’s scheme evolves Meta previously announced a scheme to detect images made using other companies’ generative AI tools using invisible markers built into the files but did not give a start date at the time. A […]
Meta reportedly announced that it will now start labelling AI-generated images across all of its social media networks, including Instagram, Facebook and Threads, in the coming months. The social media giant already applies the ‘Imagined with AI’ labels to images generated using its Meta AI feature, but the company now wants to label AI images generated by other big players in the industry, including Google and OpenAI. “As the difference between human and synthetic content gets blurred, people want to know where the boundary lies,” Meta’s president of global affairs Nick Clegg wrote in a blog post on Tuesday. Meta to roll out ‘Imagined with AI’ labels “So it’s important that we help people know when photorealistic content they’re seeing has been created using AI,” he added. Clegg’s post said the platform already does it by applying “Imagined with AI” labels to photorealistic images created using our Meta AI feature. “That’s why we’ve been working with industry partners to align on common technical standards that signal when a piece of content has been created using AI. Being able to detect these signals will make it possible for us to label AI-generated images that users post to Facebook, Instagram and Threads,” he said. Meta […]
OpenAI is joining the Coalition for Content Provenance and Authenticity (C2PA) steering committee and will integrate the open standard’s metadata into its generative AI models to increase transparency around generated content. The C2PA standard allows digital content to be certified with metadata proving its origins, whether created entirely by AI, edited using AI tools, or captured traditionally. OpenAI has already started adding C2PA metadata to images from its latest DALL-E 3 model output in ChatGPT and the OpenAI API. The metadata will be integrated into OpenAI’s upcoming video generation model Sora when launched more broadly. “People can still create deceptive content without this information (or can remove it), but they cannot easily fake or alter this information, making it an important resource to build trust,” OpenAI explained. The move comes amid growing concerns about the potential for AI-generated content to mislead voters ahead of major elections in the US, UK, and other countries this year. Authenticating AI-created media could help combat deepfakes and other manipulated content aimed at disinformation campaigns. While technical measures help, OpenAI acknowledges that enabling content authenticity in practice requires collective action from platforms, creators, and content handlers to retain metadata for end consumers. In addition to C2PA integration, OpenAI […]
TikTok, the popular social media platform for creating and sharing short-form videos, said it will now start automatically labeling artificial intelligence (AI)-generated content (AIGC) when it is uploaded to the platform. On May 9, the social media giant said it is partnering with the Coalition for Content Provenance and Authenticity (C2PA) and will be the first media-sharing platform to implement its Content Credentials technology. TikTok has already been requiring content creators to label realistic AIGC for over a year, along with anything made with its own TikTok AI effects. However, the recent development implements auto-labeling on AI-generated content created using other platforms. It said this will be done with the Content Credentials technology which attaches metadata to content that the platform can use to instantly recognize and label AIGC. The statement said the increase in auto-labeled AIGC on TikTok will be “gradual at first” as soon as Content Credential is implemented on other platforms to metadata, it will be able to label more content. For the time being, the feature will only be available for images and videos, with the intention of bringing it to audio content in the near future. Source: ZeroHedge
Microsoft-backed OpenAI is working on software that can generate minute-long videos based on text prompts, the company said on Thursday. The software, called Sora, is currently available for red teaming, which helps identify flaws in the AI system, as well as for use by visual artists, designers and filmmakers to gain feedback on the model, the company said in a statement. “Sora is able to generate complex scenes with multiple characters, specific types of motion, and accurate details of the subject and background,” the statement said, adding that it can create multiple shots within a single video. Prompt: “A stylish woman walks down a Tokyo street filled with warm glowing neon and animated city signage. she wears a black leather jacket, a long red dress, and black boots, and carries a black purse. she wears sunglasses and red lipstick. she walks confidently and casually.… pic.twitter.com/cjIdgYFaWq — OpenAI (@OpenAI) February 15, 2024 Apart from generating videos from text prompts, Sora can animate a still image, the company said in a blog post. The video generation software follows OpenAI’s ChatGPT chatbot, which was released in late 2022 and created a buzz around GenAI with its ability to compose emails and write codes […]
Following the Search Generative Experience (SGE) and Slides, Google Bard is set to get its own AI image generator. As shared by Dylan Roussel on X/Twitter, an unreleased Google Bard changelog — dated for January 18 — reveals how you can “Create images with Bard.” Like other tools, you “simply enter a few words to bring your imagination to life” with the ability to download or “Generate more.” It should be powered by Google’s Imagen family of models. Back to the future? 👀 Here's what's coming next in Bard. . . tomorrow. Image generation with Bard will use Imagen, Google's Text-to-Image "diffusion technology."https://t.co/FNeiCsS2ar Important: The content of this changelog may still be changed until officially released. pic.twitter.com/9yRNjHNrLq — Dylan Roussel (@evowizz) January 17, 2024 In December, Google announced Imagen 2 with “significantly improved image quality” (as seen below). This ability to create “high-quality, photorealistic, high-resolution, aesthetically pleasing images” is aimed at enterprise use cases like logo generation or creating images with text overlays. Google Search introduced a similar image generator in October. If you’re enrolled in SGE, you can find it at google.com/search/images. “Draw” or “sketch” prompts can be directly entered into the Search field. SGE generates four images at a time, while there are daily limits on […]
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