Creative Fabrica, a marketplace for digital files like print-on-demand assets, fonts and graphics, announced today it will launch its own generative AI tool. Called CF Spark, it's already seen three million prompts generated, and more than 500,000 published by Creative Fabrica creators over the past three weeks. Like other digital assets on the platform, users can put up their generative AI files for paid use by other members, which Creative Fabrica says makes it the first generative AI that also allows creators to make money. Backed by investors like Felix Capital, FJ Labs and Peak Capital, Creative Fabrica has an agreement with Stable Diffusion, the image-generating AI system by Stability AI, and is working on a partnership with OpenAI to include DALL-E 2 in its ecosystem. CF Spark also uses the Dreamstudio API. Creative Fabrica CEO Roemie Hillenaar said this mix allows users to get different results and covers a broader range of styles.

You know that text autocomplete function that makes your smartphone so convenient -- and occasionally frustrating -- to use? Well, now tools based on the same idea have progressed to the point that they are helping researchers to analyse and write scientific papers, generate code and brainstorm ideas. The tools come from natural language processing (NLP), an area of artificial intelligence aimed at helping computers to'understand' and even produce human-readable text. Called large language models (LLMs), these tools have evolved to become not only objects of study but also assistants in research. LLMs are neural networks that have been trained on massive bodies of text to process and, in particular, generate language.

A new art exhibition in San Francisco showcases some of the unique ways that artists have begun to incorporate Dall-E 2, GPT-3 and other AI systems into their work -- efforts that go well beyond just typing some text and seeing what pops out. Why it matters: The exhibit, "Artificial Imagination," comes amid a broad debate over the legal and artistic merits of AI-created art, as well as concerns that more powerful computers could take jobs away from humans. "Artificial Imagination" includes a range of work, from videos to still images and sculpture. Between the lines: The artists and curators said the exhibition, believed to be the first of its kind, is an important recognition that AI art is indeed art. The big picture: The debut of Artificial Imagination comes as society is grappling with how to understand the advent of AI art on a variety of levels, from who owns the work to its impact on artists.

Join us on November 9 to learn how to successfully innovate and achieve efficiency by upskilling and scaling citizen developers at the Low-Code/No-Code Summit. For Dave Rogenmoser, CEO of AI content platform Jasper -- which raised $125 million in funding a week ago -- the sheer level of hype and scale of chatter around generative AI last week was unexpected. Jasper's announcement came just one day after Stability AI, which developed its text-to-image generator Stable Diffusion, announced its own massive $101 million raise. "I didn't know Stability was going to announce on Monday -- and then ours stacking on that definitely hyped up the whole market," he said. But Rogenmoser says that hype aside, generative AI -- which describes artificial intelligence using unsupervised learning algorithms to create new digital images, video, audio, text or code -- is no flash in the pan.

An image generator is a software that creates images from the prompt text that can be used many purposes such in Graphic designing, Book templates etc. Many companies will use Image generator for creating new designs for anything they want. Many people will also use image generators for more traditional purposes, such as creating memes and creating artworks. Image generators are very useful because they can create an unlimited number of images without the need to find models or real world images. Even sometimes images are purely fictions but it does look like it fictions. DALL-E 2: OpenAI DALL-E 2 is an AI model developed by OpenAI that has been trained to generate images from text .

What can an AI tell you about Black Friday deals? Not much, it turns out, but when we posed a few contrarian thoughts about the upcoming shopping bacchanalia, AI image generator Dall-E 2 (opens in new tab) returned some interesting images that got us thinking about what this Black Friday and Cyber Monday shopping season will be like for consumers. I think it's a safe assumption that this won't be a typical Black Friday and pre-Christmas shopping season. We face extraordinary upheaval around the world, and a deepening cost of living crisis that in many countries is threatening to turn into a full-blown recession. Yet, recent studies point to consumers being both more financially cautious and, yet, more deeply invested in Black Friday than in recent years. During Amazon's Prime Day 2 (its new attempt to own the shopping season by preempting Black Friday), US consumers spent, according to Numerator (opens in new tab), on average $46.68, which is down roughly $15 from Amazon's mid-year Prime Day.

We introduce the first work to explore web-scale diffusion models for robotics. DALL-E-Bot enables a robot to rearrange objects in a scene, by first inferring a text description of those objects, then generating an image representing a natural, human-like arrangement of those objects, and finally physically arranging the objects according to that image. The significance is that we achieve this zero-shot using DALL-E, without needing any further data collection or training. Encouraging real-world results with human studies show that this is an exciting direction for the future of web-scale robot learning algorithms. We also propose a list of recommendations to the text-to-image community, to align further developments of these models with applications to robotics.

AI-powered self-driving cars got kicked to the curb, with the shuttering of Argo AI. Big Tech had a tough time, with earnings wipeouts for Amazon, Microsoft and Google. And Meta's big bet on the metaverse has the company in free fall, at least for now. However, none of that negative-nellie news seems to stop the FOMO – the fear of missing out – at least in the world of AI. This time the hyped-up anxiety is not about autonomous cars (the "not" in the Hot or Not), but generative AI – a suddenly-sexy sector described with words like "miraculous," "transformative" and "a coming-out party" [subscription required].

Generative AI is undeniably having a moment. OpenAI's text-to-image creator DALL-E has been dazzling the public for months, while its standout rival, a newcomer dubbed Stability AI, just raked in a cool $101 million in funding for its Stable Diffusion system. Video and music generators are popping up as well, and some experts predict that synthetic media will soon make up the vast majority of digital content. But according to Will Manidis, the founder and CEO of AI-driven healthcare startup ScienceIO, generative AI is all flash, no substance -- and while it might be attracting VC cash now, most ventures will quickly fade into startup oblivion. "There are hundreds of millions of dollars being deployed towards glorified tech demos built on top of identical datasets," the founder wrote in a Tuesday Twitter thread, referring to these generative machine systems.

Today, stock image giant Shutterstock has announced an extended partnership with OpenAI, which will see the AI lab's text-to-image model DALL-E 2 directly integrated into Shutterstock "in the coming months." In addition, Shutterstock is launching a "Contributor Fund" that will reimburse creators when the company sells work to train text-to-image AI models. This follows widespread criticism from artists whose output has been scraped from the web without their consent to create these systems. Notably, Shutterstock is also banning the sale of AI-generated art on its site that is not made using its DALL-E integration.