Google DeepMind has made its latest AI image generator, Imagen 3, free for use in the U.S. via the company’s ImageFX platform. Imagen 3 will be available in multiple versions, “each optimized for different types of tasks, from generating quick sketches to high-resolution images.” Google announced Imagen 3 at Google I/O in March, and in June made it available to enterprise users through Vertex. Using simplified natural language text input rather than “complex prompt engineering,” Google says Imagen 3 generates high-quality images in a range styles, from photorealistic, painterly and textured to whimsically cartoony. Continue reading Google DeepMind Releases Imagen 3 for Free to U.S. Users

During Google Cloud Next 2024 in Las Vegas, Google announced an updated version of its text-to-image generator Imagen 2 on Vertex AI that has the ability to generate video clips of up to four seconds. Google calls this feature “text-to-live images,” and it essentially delivers animated GIFs at 24 fps and 360×640 pixel resolution, though Google says there will be “continuous enhancements.” Imagen 2 can also generate text, emblems and logos in different languages, and has the ability to overlay those elements on existing images like business cards, apparel and products. Continue reading Google Imagen 2 Now Generates 4-Second Clips on Vertex AI

OpenAI has updated the editor for DALL-E, the artificial intelligence image generator that is part of the ChatGPT premium tiers. The update, based on the DALL-E 3 model, makes it easier for users to adjust their generated images. Shortly after DALL-E 3’s September debut, OpenAI integrated it into ChatGPT, enabling paid subscribers to generate images from text or image prompts. The new DALL-E editor interface lets users edit images “by selecting an area of the image to edit and describing your changes in chat” without using the selection tool. Desired changes can also be prompted “in the conversation panel,” according to OpenAI. Continue reading OpenAI Integrates New Image Editor for DALL-E into ChatGPT

Meta Platforms is moving Imagine with Meta from its test bed as a generative AI experience in chats to a standalone experience on the Web that allows users to create high-resolution images using natural language text prompts. That is one of more than 20 generative AI features Meta is deploying to create new business opportunities globally leveraging AI across search, ads, business messaging and more. While most will wind up on Facebook, Instagram, Messenger and WhatsApp, some say Meta’s popular Facebook and Instagram platforms have plateaued at 2 to 3 billion users per month, circumscribing ad growth. Continue reading Standalone Image Generator Is Among New AI Tools by Meta

Stability AI, developer of Stable Diffusion (one of the leading visual content generators, alongside Midjourney and DALL-E), has introduced SDXL Turbo — a new AI model that demonstrates more of the latent possibilities of the common diffusion generation approach: images that update in real time as the user’s prompt updates. This feature was always a possibility even with previous diffusion models given text and images are comprehended differently across linear time, but increased efficiency of generation algorithms and the steady accretion of GPUs and TPUs in a developer’s data center makes the experience more magical. Continue reading Stability AI Intros Real-Time Text-to-Image Generation Model

A new tool called Nightshade offers creators a way to fend off artificial intelligence models attempting to train on visual artwork without permission. Created by a University of Chicago team led by Professor Ben Zhao, Nightshade makes it possible to include an instruction set that can cause AI models to “break” during unauthorized scraping. It does this by inserting “invisible pixels.” As a result, popular AI models including DALL-E, Midjourney and Stable Diffusion will subsequently render erratic results, turning dogs into cats and cars into cows, and so forth. Continue reading Nightshade Data Poisoning Tool Targets AI to Protect Artist IP

Nvidia’s Picasso continues to gain market share among visual companies looking for an AI foundry to train models for generative use. Getty Images has partnered with Nvidia to create custom foundation models for still images and video. Generative AI by Getty Images lets customers create visuals using Getty’s library of licensed photos. The tool is trained on Getty’s own creative library and has the company’s guarantee of “full indemnification for commercial use.” Getty joins Shutterstock and Adobe among enterprise clients using Picasso. Runway and Cuebric are using it, too — and Picasso is still in development. Continue reading Getty GenAI Tool for Images and Video Is Powered by Nvidia

Amazon has entered into a strategic investment in San Francisco-based Anthropic, founded by former members of OpenAI. The AI startup will train and deploy future models using AWS Trainium and Inferentia chips to train and deploy future foundation models with AWS as its primary cloud provider. In turn, Amazon says it will invest up to $4 billion in Anthropic, as it strives to compete with other technology firms in the race to develop generative AI, seeding growth for what is shaping up to be an entirely new economic and social landscape. Continue reading Amazon Plans to Invest Up to $4 Billion in AI Startup Anthropic

A group of news organizations, including Gannett, Getty Images and the Associated Press, have joined forces to call for copyright protection with regard to artificial intelligence training data. The 10 outlets signed an open letter charging foundation models are trained using media content without permission that is then disseminated “without any consideration of, remuneration to, or attribution to the original creators.” The group is demanding laws to protect journalism from AI, which if left unregulated they claim “can threaten the sustainability of the media ecosystem” by eroding the public’s trust and undermining financial viability. Continue reading News Orgs Calling for IP Protection Against AI Model Training

Launched two years ago, C2PA is an open-source Internet protocol that cryptographically encodes origin metadata into content. The protocol, a more secure form of watermarking, is being put forth as a way of disclosing when material has been created wholly or in part using artificial intelligence, something the White House has said it wants companies to do. Impending European Union regulations will also mandate that some tech platforms label images, audio, and video generated by artificial intelligence using “prominent markings.” More than 1,500 companies are involved with C2PA through the Content Authenticity Initiative, making it a viable solution. Continue reading Cryptographic C2PA Protocol Pursues Labeling of AI Content

As China’s tech giants begin releasing ChatGPT-style products, the powerful Cyberspace Administration of China (CAC) has issued a draft of what will become the country’s first set of restrictions for generative AI. Ground rules include limiting content created by AI to that which reflects the core values of socialism and does not subvert state power in text or image, according to the draft. Models should also be trained in a way that does not allow them to generate false information or exhibit bias as to race, ethnicity or gender. The news comes as three Chinese firms release generative AI platforms. Continue reading Chinese Government Drafts New Rules for Generative AI Tech

Respected members of the advanced tech community are going on record opposing the faction calling for a “pause” in large-model artificial intelligence development. Meta Platforms chief AI scientist Yann LeCun and DeepLearning.AI founder and CEO Andrew Ng, formerly at Alphabet where he helped launch Google Brain, were joined this past week by Bill Gates and former Google CEO Eric Schmidt in opposing the proposed six-month halt to development of AI models more advanced than OpenAI’s GPT-4, which is said to train on a trillion parameters — more than 500 times that of GPT-3. Continue reading Mixed Reactions to ‘Pause’ on AI Models Larger than GPT-4

After many years of academia leading the way in the development of artificial intelligence, the tides have shifted and industry has taken over, according to the 2023 AI Index, a report created by Stanford University with help from companies including Google, Anthropic and Hugging Face. “In 2022, there were 32 significant industry-produced machine learning models compared to just three produced by academia,” the report says. The shift in influence is attributed mainly to the large resource demands — in staff, computing power and training data — required to create state of the art AI systems. Continue reading Report: Enterprise Supplants Academia as Driving Force of AI

Microsoft is bringing Bing Image Creator to the new Bing search engine and Edge browser. Powered by an advanced version of the DALL-E model from OpenAI, the new tools will allow users to generate images using word prompts to describe what they want to want to create. The news comes as Microsoft says its new Bing AI Copilot has had “more than 100 million chats to date,” with people using it to refine answers to complex questions or as entertainment or creative inspiration. Bing data indicates images are one of the most searched categories, second only to general web searches, according to Microsoft. Continue reading Microsoft Introduces Visual AI Tools to Bing, Edge Platforms

OpenAI is now allowing third-party developers integrate ChatGPT into their apps, a solution the company says will be a more cost-effective alternative. The language model can be used for more than chat, says OpenAI, which also has a new speech-to-text model called Whisper. The company is also touting gpt-3.5-turbo, calling it the “best model for many non-chat use cases.” With a major investment from Microsoft, and the eyes of the industry on it, OpenAI seems to be feeling some pressure to add earnings to the success it has as a thought leader. Continue reading OpenAI Targets Affordable AI with ChatGPT and Whisper APIs