Attempting to make precise compositions with latent diffusion generative image models such as Stable Diffusion can be like herding cats; the very same imaginative and interpretive powers that enable the system to create extraordinary detail and to summon up extraordinary images from relatively simple text-prompts is also difficult to turn off when you're looking for Photoshop-level control over an image generation. Now, a new approach from NVIDIA research, titled ensemble diffusion for images (eDiffi), uses a mixture of multiple embedding and interpretive methods (rather than the same method all the way through the pipeline) to allow for a far greater level of control over the generated content. 'Painting with words' is one of the two novel capabilities in NVIDIA's eDiffi diffusion model. Each daubed color represents a word from the prompt (see them appear on the left during generation), and the area color applied will consist only of that element. See source (official) video for more examples and better resolution at https://www.youtube.com/watch?v k6cOx9YjHJc Effectively this is'painting with masks', and reverses the inpainting paradigm in Stable Diffusion, which is based on fixing broken or unsatisfactory images, or extending images that could as well have been the desired size in the first place.

Although large conversational AI models such as OpenAI's ChatGPT have demonstrated great potential, we question whether such models can guarantee factual accuracy. Recently, technology companies such as Microsoft and Google have announced new services which aim to combine search engines with conversational AI. However, we have found numerous mistakes in the public demonstrations that suggest we should not easily trust the factual claims of the AI models. Rather than criticizing specific models or companies, we hope to call on researchers and developers to improve AI models' transparency and factual correctness.

Sign up to receive our weekly newsletter of the best New Yorker podcasts. In November, OpenAI introduced ChatGPT, a large language model that can generate text that gives the impression of human intelligence, spontaneity, and surprise. Users of ChatGPT have described it as a revolutionary technology that will change every aspect of how we interact with text and with one another. American political life has already been profoundly altered by the Internet, and the effects of ChatGPT, Rothman says, could be even more profound.

Within the past few weeks, ChatGPT, a groundbreaking advancement in the field of artificial intelligence, has given unprecedented power to every Internet user. It's gained immense popularity, garnering one million users in just five days. OpenAI released this first-of-its-kind consumer-based AI product with endless abilities ranging from writing essays or writing code to building entire apps to passing professional-level tests. Chatbots have existed for decades, with ones such as Siri and Alexa acting as virtual assistants. They can execute quick searches such as "Will it rain tomorrow in Bologna?" or "What is 2 2?" ChatGPT has the unique capability to answer more abstract and open-ended questions with immense detail.

OpenAI, the company behind ChatGPT and DALL-E 2, announced several significant changes today. It also changed its terms of service to let developers opt out of using their data for improvements while adding a 30-day data retention policy. The new ChatGPT API will use the same AI model ("gpt-3.5-turbo") Snap's My AI is an early example, along with a new virtual tutor feature for the online study tool Quizlet and an upcoming Ask Instacart tool in the popular local-shopping app. However, the API won't be limited to brand-specific bots mimicking ChatGPT; it can also power "non-chat" software experiences that could benefit from AI brains. The ChatGPT API is priced at $0.002 per 1,000 tokens (about 750 words).

Generative AI's incredible speed of sinking into our everyday lives came in like a tsunami. At a record-breaking, tech-pandemic'ish growth rate, OpenAI's ChatGPT registered users reached 1 million within 5 days and 100 million within 2 months to become the fastest adopted consumer internet app. This is even more impressive considering that OpenAI's ChatGPT, while reaching 162 countries, does not allow users from mainland China, Hong Kong, Iran, Russia and parts of Africa to sign up. Mainland China and Hong Kong make up a fifth of the world's population. This didn't stop the ChatGPT frenzy from reaching Chinese shores, as its wonder has topped almost every conversation, WeChat post and search results.

ChatGPT and its fellow chatbots may be much talked about (and talked to: ChatGPT may now have more than 100m users). But Mr Tossell's newsletter hints that the real action in generative AI is increasingly in all manner of less chatty services enabled by foundation models. Each model is trained on reams of text, images, sound files or any other heap of data. This allows them to interpret, react to and create statements in natural language, as well as art, music and any other type of content you find on the internet. Even as the venture-capital (VC) industry nurses a giant hangover after the recent tech crash put paid to a bubbly couple of years, entrepreneurs experimenting with generative AI have no trouble attracting investments.

It can also help small- and medium-sized businesses (SMBs) sell smarter and more efficiently, regardless of a company's resources. In the very near future, I imagine a world in which SMBs use generative AI through Sales Cloud to streamline the sales process and close more deals faster and with fewer resources. Capabilities like automated, AI-generated proposals and customer communications, along with predictive sales modeling, will give SMBs even more powerful tools to help them provide great customer experiences, manage operating expenses, and achieve sustainable growth. Generative AI is technology built on pre-trained, large-language models that help users create unique text, images, and other content from text-based prompts. Although it has the potential to transform sales, it will face several hurdles before it can become mainstream.

As a child of the '80s, I can divide my life cleanly into Before Google and After Google. Right around the turn of the millennium, the internet stopped being a tangled thicket of incomplete lists of weird stuff and became a useful research database. Ever since, Google Search has been one of the only technological constants of my adult life, persisting through the rise of smartphones, social media, streaming services, and even drone-based burrito delivery (also, what happened to that?). In all that time, nobody has been able to challenge Google's role as gatekeeper to the cornucopia of digital abundance. More than 90 percent of internet users around the world use Google to shop, navigate, and satisfy their curiosity about pretty much everything.

Generative AI chatbots unveiled by US tech firms have captivated the world with their spectacular successes and failures in engaging in conversations. But European firms focusing more on business applications are confident they won't be left in the dust in the rapidly developing field, even as they redouble their efforts. "The launch of ChatGPT has changed everything. It has been a wake-up call for European firms," said Laurent Daudet at French startup LightOn. "But the battle for generative AI isn't over," he added.