At the end of November 2022, the San Francisco-based company OpenAI launched its prototype of ChatGPT, an artificial intelligence (AI)-based chatbot that can answer a wide range of questions in short periods of time. Since then, users worldwide have been testing the chatbot and discussing its possible applications in different fields. ChatGPT is based on a so-called large language model (LLM), a deep learning technique that employs multi-layered neural networks trained on a vast pool of texts. Over time, these models can learn to make predictions about how to compose sentences and answer specific language queries. GPT-3, the model underpinning ChatGPT, is one of the most powerful LLMs worldwide, as it includes more than 175 billion parameters and can tackle a wide range of written tasks. For instance, the chatbot can translate and summarize written texts, compose basic poems or song lyrics and offer definitions for particular terms.

Google is deepening its push into generative artificial intelligence, introducing features Tuesday that will let users create text in Gmail and Docs using the company's AI technology. The company is testing the AI products and making them accessible for a limited number of users of Workspace, which includes Gmail and Google's productivity tools. "Whether you're a busy HR professional who needs to create customized job descriptions, or a parent drafting the invitation for your child's pirate-themed birthday party, Workspace saves you the time and effort of writing that first version," Johanna Voolich Wright, vice president of product for Google Workspace, wrote in a blog post. "Simply type a topic you'd like to write about, and a draft will instantly be generated for you." Generative AI has been the hottest topic in tech this year after San Francisco startup OpenAI introduced the ChatGPT chatbot in November and watched it quickly go viral.

Google on Tuesday began letting some developers and businesses access the kind of artificial intelligence that has captured attention since the launch of Microsoft-backed ChatGPT last year. The tech giant's cloud computing arm will provide testers with ways to "infuse generative AI" into apps or put them to work on Google's own platform. "With this, Google Cloud is poised to enable a whole new generation of builders, innovators, developers and doers to harness the power of AI in novel ways," said Ritu Jyoti, vice president of an AI group at market research firm IDC. Developers and businesses will be able to try new application programming interfaces (APIs) and products that make it "easy, safe and scalable" to build AI models using Google's cloud service, Google's Thomas Kurian said in a blog post. Among the functions Google hopes to make more broadly accessible is a generative AI that will allow software to use prompts to sum up information or write in a conversational style.

The company behind the ChatGPT app that churns out essays, poems or computing code on command released Tuesday a long-awaited update of its artificial intelligence (AI) technology that it said would be safer and more accurate than its predecessor. GPT-4 has been widely awaited ever since ChatGPT burst onto the scene in late November, wowing users with its capabilities that were based on an older version of OpenAI's technology, known as a large language model. "We've created GPT-4, the latest milestone in OpenAI's effort in scaling up deep learning," a company blog said, adding that the AI technology "exhibits human-level performance" on some professional and academic tasks. The company said the model is "more creative and collaborative than ever before" and would "solve difficult problems with greater accuracy" than its earlier versions. With its update, text responses from GPT-4 will be more accurate, and--in future--will come from both image and text inputs in a major leap forward for the technology, though this aspect has not yet been released.

OpenAI has just announced GPT-4, its next-generation large multimodal AI model based on natural-language processing. The previous GPT-3 forms the basis of the famous ChatGPT artificial intelligence chatbot, capable of generating human-like responses to queries provided by its users. GPT-4 is said to be capable of accepting text and image inputs. This allows users to specify both vision and language tasks. For example, you can now use documents with text plus photographs, diagrams, or even screenshots – the generated output uses all initial data to generate answers based on all available data (try submitting a funny image and asking AI to tell what makes this image amusing).

Generative AI, i.e., the group of technologies that automatically generate visual or written content based on text prompts, has undergone a leap in complexity and become widely available within just a few years. Such technologies potentially introduce a massive disruption to creative fields. This paper presents the results of a qualitative survey ($N$ = 23) investigating how creative professionals think about generative AI. The results show that the advancement of these AI models prompts important reflections on what defines creativity and how creatives imagine using AI to support their workflows. Based on these reflections, we discuss how we might design \textit{participatory AI} in the domain of creative expertise with the goal of empowering creative professionals in their present and future coexistence with AI.

Generative AI (e.g., Generative Adversarial Networks - GANs) has become increasingly popular in recent years. However, Generative AI introduces significant concerns regarding the protection of Intellectual Property Rights (IPR) (resp. model accountability) pertaining to images (resp. toxic images) and models (resp. poisoned models) generated. In this paper, we propose an evaluation framework to provide a comprehensive overview of the current state of the copyright protection measures for GANs, evaluate their performance across a diverse range of GAN architectures, and identify the factors that affect their performance and future research directions. Our findings indicate that the current IPR protection methods for input images, model watermarking, and attribution networks are largely satisfactory for a wide range of GANs. We highlight that further attention must be directed towards protecting training sets, as the current approaches fail to provide robust IPR protection and provenance tracing on training sets.

With its uncanny ability to hold a conversation, answer questions, and write coherent prose, poetry, and code, the chatbot ChatGPT has forced many people to rethink the potential of artificial intelligence. The startup that made ChatGPT, OpenAI, today announced a much-anticipated new version of the AI model at its core. The new algorithm, called GPT-4, follows GPT-3, a groundbreaking text-generation model that OpenAI announced in 2020, which was later adapted to create ChatGPT last year. The new model scores more highly on a range of tests designed to measure intelligence and knowledge in humans and machines, OpenAI says. It also makes fewer blunders and can respond to images as well as text.

With the GPT4 model, there will be new ways to create art, below I present a ready-to-use research generator with which you can already see what the future will look like. Are you ready to take your art generation to the next level? Introducing the revolutionary new tool that combines the power of state-of-the-art methods. Developed by a team of experts, the ai tool is designed to handle even the most complex visual tasks, all while maintaining a conversational tone that feels natural and engaging. Don't miss out on this incredible opportunity - try it today and see the results for yourself!

Microsoft has laid off a team dedicated to ensuring the responsible development and deployment of AI. Platformer reports the ethics and society team were laid off as part of wider cuts to Microsoft's workforce. However, the decision leaves Microsoft with fewer experts working to ensure solutions are safe and have a net positive impact. The perception of Microsoft as an AI leader has deepened following its exclusive partnership with OpenAI. The duo continue to deliver powerful new AI capabilities across Microsoft's products.